extraction_SKG_from_DRKG_and_SympGAN.ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"M1aEkjgKJuHJ"},"source":["# Extraction Subgraph Knowledge Graph from DRKG and SympGAN"]},{"cell_type":"markdown","metadata":{},"source":["## Libraries"]},{"cell_type":"code","execution_count":2,"metadata":{},"outputs":[],"source":["import tarfile\n","import pandas as pd\n","import requests\n","import json\n","from tqdm import tqdm"]},{"cell_type":"markdown","metadata":{},"source":["## Retrieve DRKG Ontology"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8887,"status":"ok","timestamp":1701799832347,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"gWaw6B2RXXqv","outputId":"b61b4302-96fc-44bc-e14e-ab41afb29e02"},"outputs":[{"name":"stderr","output_type":"stream","text":["--2024-02-13 16:16:21--  https://dgl-data.s3-us-west-2.amazonaws.com/dataset/DRKG/drkg.tar.gz\n","Resolving dgl-data.s3-us-west-2.amazonaws.com (dgl-data.s3-us-west-2.amazonaws.com)... 3.5.83.142, 52.92.194.50, 3.5.77.190, ...\n","Connecting to dgl-data.s3-us-west-2.amazonaws.com (dgl-data.s3-us-west-2.amazonaws.com)|3.5.83.142|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 216650245 (207M) [application/x-tar]\n","Saving to: 'drkg/drkg.tar.gz.1'\n","\n","     0K .......... .......... .......... .......... ..........  0%  248K 14m12s\n","    50K .......... .......... .......... .......... ..........  0%  254K 14m2s\n","   100K .......... .......... .......... .......... ..........  0%  252K 14m1s\n","   150K .......... .......... .......... .......... ..........  0% 32,1M 10m32s\n","   200K .......... .......... .......... .......... ..........  0%  500M 8m26s\n","   250K .......... .......... .......... .......... ..........  0%  366M 7m1s\n","   300K .......... .......... .......... .......... ..........  0%  242K 8m6s\n","   350K .......... .......... .......... .......... ..........  0%  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3m38s\n","  1000K .......... .......... .......... .......... ..........  0%  206M 3m27s\n","  1050K .......... .......... .......... .......... ..........  0%  482M 3m18s\n","  1100K .......... .......... .......... .......... ..........  0% 26,5M 3m9s\n","  1150K .......... .......... .......... .......... ..........  0%  222K 3m41s\n","  1200K .......... .......... .......... .......... ..........  0% 32,9M 3m32s\n","  1250K .......... .......... .......... .......... ..........  0%  269M 3m24s\n","  1300K .......... .......... .......... .......... ..........  0%  632M 3m17s\n","  1350K .......... .......... .......... .......... ..........  0% 21,5M 3m10s\n","  1400K .......... .......... .......... .......... ..........  0%  536M 3m3s\n","  1450K .......... .......... .......... .......... ..........  0%  271M 2m57s\n","  1500K .......... .......... .......... .......... ..........  0%  425M 2m51s\n","  1550K .......... .......... .......... .......... ..........  0% 89,6M 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2,89M 50s\n"," 12000K .......... .......... .......... .......... ..........  5% 11,2M 50s\n"," 12050K .......... .......... .......... .......... ..........  5%  204M 49s\n"," 12100K .......... .......... .......... .......... ..........  5% 2,38M 49s\n"," 12150K .......... .......... .......... .......... ..........  5%  276M 49s\n"," 12200K .......... .......... .......... .......... ..........  5%  463M 49s\n"," 12250K .......... .......... .......... .......... ..........  5%  480M 49s\n"," 12300K .......... .......... .......... .......... ..........  5% 4,59M 49s\n"," 12350K .......... .......... .......... .......... ..........  5%  339M 49s\n"," 12400K .......... .......... .......... .......... ..........  5%  567M 48s\n"," 12450K .......... .......... .......... .......... ..........  5% 4,12M 48s\n"," 12500K .......... .......... .......... .......... ..........  5%  329M 48s\n"," 12550K .......... .......... .......... .......... ..........  5%  279M 48s\n"," 12600K .......... .......... .......... .......... ..........  5%  352M 48s\n"," 12650K .......... .......... .......... .......... ..........  6% 2,80M 48s\n"," 12700K .......... .......... .......... .......... ..........  6%  183M 48s\n"," 12750K .......... .......... .......... .......... ..........  6%  611M 47s\n"," 12800K .......... .......... .......... .......... ..........  6% 47,2M 47s\n"," 12850K .......... .......... .......... .......... ..........  6%  320M 47s\n"," 12900K .......... .......... .......... .......... ..........  6%  271M 47s\n"," 12950K .......... .......... .......... .......... ..........  6%  423M 47s\n"," 13000K .......... .......... .......... .......... ..........  6% 33,1M 46s\n"," 13050K .......... .......... .......... .......... ..........  6% 10,0M 46s\n"," 13100K .......... .......... .......... .......... ..........  6%  314M 46s\n"," 13150K .......... .......... .......... .......... ..........  6%  452M 46s\n"," 13200K .......... .......... 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..........  6%  376M 46s\n"," 13850K .......... .......... .......... .......... ..........  6% 22,0M 46s\n"," 13900K .......... .......... .......... .......... ..........  6% 24,8M 46s\n"," 13950K .......... .......... .......... .......... ..........  6% 3,01M 46s\n"," 14000K .......... .......... .......... .......... ..........  6%  306M 46s\n"," 14050K .......... .......... .......... .......... ..........  6%  435M 46s\n"," 14100K .......... .......... .......... .......... ..........  6% 28,4M 46s\n"," 14150K .......... .......... .......... .......... ..........  6%  665M 45s\n"," 14200K .......... .......... .......... .......... ..........  6%  315M 45s\n"," 14250K .......... .......... .......... .......... ..........  6%  579M 45s\n"," 14300K .......... .......... .......... .......... ..........  6% 2,25M 45s\n"," 14350K .......... .......... .......... .......... ..........  6%  367M 45s\n"," 14400K .......... .......... .......... .......... ..........  6%  294M 45s\n"," 14450K .......... .......... .......... .......... ..........  6%  492M 45s\n"," 14500K .......... .......... .......... .......... ..........  6% 25,4M 45s\n"," 14550K .......... .......... .......... .......... ..........  6%  369M 44s\n"," 14600K .......... .......... .......... .......... ..........  6%  634M 44s\n"," 14650K .......... .......... .......... .......... ..........  6% 25,4M 44s\n"," 14700K .......... .......... .......... .......... ..........  6%  215M 44s\n"," 14750K .......... .......... .......... .......... ..........  6%  380M 44s\n"," 14800K .......... .......... .......... .......... ..........  7%  146M 44s\n"," 14850K .......... .......... .......... .......... ..........  7% 30,7M 44s\n"," 14900K .......... .......... .......... .......... ..........  7% 3,07M 44s\n"," 14950K .......... .......... .......... .......... ..........  7% 4,96M 44s\n"," 15000K .......... .......... .......... .......... ..........  7% 1,55M 44s\n"," 15050K .......... 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.......... ..........  7%  390M 44s\n"," 15700K .......... .......... .......... .......... ..........  7%  543M 44s\n"," 15750K .......... .......... .......... .......... ..........  7% 99,5M 44s\n"," 15800K .......... .......... .......... .......... ..........  7%  304M 44s\n"," 15850K .......... .......... .......... .......... ..........  7%  637M 43s\n"," 15900K .......... .......... .......... .......... ..........  7%  795M 43s\n"," 15950K .......... .......... .......... .......... ..........  7% 19,8M 43s\n"," 16000K .......... .......... .......... .......... ..........  7%  391M 43s\n"," 16050K .......... .......... .......... .......... ..........  7% 3,76M 43s\n"," 16100K .......... .......... .......... .......... ..........  7%  339M 43s\n"," 16150K .......... .......... .......... .......... ..........  7%  416M 43s\n"," 16200K .......... .......... .......... .......... ..........  7% 20,3M 43s\n"," 16250K .......... .......... .......... .......... ..........  7%  292M 42s\n"," 16300K .......... .......... .......... .......... ..........  7%  439M 42s\n"," 16350K .......... .......... .......... .......... ..........  7% 24,6M 42s\n"," 16400K .......... .......... .......... .......... ..........  7%  423M 42s\n"," 16450K .......... .......... .......... .......... ..........  7%  691M 42s\n"," 16500K .......... .......... .......... .......... ..........  7%  442M 42s\n"," 16550K .......... .......... .......... .......... ..........  7%  196K 45s\n"," 16600K .......... .......... .......... .......... ..........  7%  334M 44s\n"," 16650K .......... .......... .......... .......... ..........  7%  717M 44s\n"," 16700K .......... .......... .......... .......... ..........  7%  566M 44s\n"," 16750K .......... .......... .......... .......... ..........  7%  489M 44s\n"," 16800K .......... .......... .......... .......... ..........  7%  367M 44s\n"," 16850K .......... .......... .......... .......... ..........  7%  569M 44s\n"," 16900K 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41s\n"," 18750K .......... .......... .......... .......... ..........  8%  281M 41s\n"," 18800K .......... .......... .......... .......... ..........  8%  448M 41s\n"," 18850K .......... .......... .......... .......... ..........  8%  371M 41s\n"," 18900K .......... .......... .......... .......... ..........  8% 18,0M 41s\n"," 18950K .......... .......... .......... .......... ..........  8% 2,24M 41s\n"," 19000K .......... .......... .......... .......... ..........  9%  137M 41s\n"," 19050K .......... .......... .......... .......... ..........  9%  365M 40s\n"," 19100K .......... .......... .......... .......... ..........  9% 3,22M 40s\n"," 19150K .......... .......... .......... .......... ..........  9% 6,73M 40s\n"," 19200K .......... .......... .......... .......... ..........  9%  258M 40s\n"," 19250K .......... .......... .......... .......... ..........  9%  493M 40s\n"," 19300K .......... .......... .......... .......... ..........  9% 30,6M 40s\n"," 19350K .......... 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13,4M 40s\n"," 20600K .......... .......... .......... .......... ..........  9% 15,7M 39s\n"," 20650K .......... .......... .......... .......... ..........  9%  188M 39s\n"," 20700K .......... .......... .......... .......... ..........  9%  218M 39s\n"," 20750K .......... .......... .......... .......... ..........  9%  521M 39s\n"," 20800K .......... .......... .......... .......... ..........  9%  444M 39s\n"," 20850K .......... .......... .......... .......... ..........  9%  569M 39s\n"," 20900K .......... .......... .......... .......... ..........  9% 3,12M 39s\n"," 20950K .......... .......... .......... .......... ..........  9%  209M 39s\n"," 21000K .......... .......... .......... .......... ..........  9%  114M 39s\n"," 21050K .......... .......... .......... .......... ..........  9%  307M 39s\n"," 21100K .......... .......... .......... .......... ..........  9%  447K 40s\n"," 21150K .......... .......... .......... .......... .......... 10%  119M 40s\n"," 21200K 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39s\n"," 23050K .......... .......... .......... .......... .......... 10% 2,35M 39s\n"," 23100K .......... .......... .......... .......... .......... 10%  321M 39s\n"," 23150K .......... .......... .......... .......... .......... 10%  345M 39s\n"," 23200K .......... .......... .......... .......... .......... 10% 26,0M 38s\n"," 23250K .......... .......... .......... .......... .......... 11%  174M 38s\n"," 23300K .......... .......... .......... .......... .......... 11%  429M 38s\n"," 23350K .......... .......... .......... .......... .......... 11%  451M 38s\n"," 23400K .......... .......... .......... .......... .......... 11% 24,9M 38s\n"," 23450K .......... .......... .......... .......... .......... 11%  224M 38s\n"," 23500K .......... .......... .......... .......... .......... 11%  652M 38s\n"," 23550K .......... .......... .......... .......... .......... 11%  824K 38s\n"," 23600K .......... .......... .......... .......... .......... 11% 9,64M 38s\n"," 23650K .......... 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.......... .......... 11%  274M 38s\n"," 24300K .......... .......... .......... .......... .......... 11%  434M 38s\n"," 24350K .......... .......... .......... .......... .......... 11%  638M 38s\n"," 24400K .......... .......... .......... .......... .......... 11% 6,48M 38s\n"," 24450K .......... .......... .......... .......... .......... 11% 7,50M 38s\n"," 24500K .......... .......... .......... .......... .......... 11%  302M 38s\n"," 24550K .......... .......... .......... .......... .......... 11%  190M 38s\n"," 24600K .......... .......... .......... .......... .......... 11%  293M 38s\n"," 24650K .......... .......... .......... .......... .......... 11% 39,2M 38s\n"," 24700K .......... .......... .......... .......... .......... 11%  361M 38s\n"," 24750K .......... .......... .......... .......... .......... 11%  523M 38s\n"," 24800K .......... .......... .......... .......... .......... 11%  449M 37s\n"," 24850K .......... .......... .......... .......... .......... 11% 1,07M 38s\n"," 24900K .......... .......... .......... .......... .......... 11% 24,6M 38s\n"," 24950K .......... .......... .......... .......... .......... 11%  285M 38s\n"," 25000K .......... .......... .......... .......... .......... 11%  434M 37s\n"," 25050K .......... .......... .......... .......... .......... 11% 31,0M 37s\n"," 25100K .......... .......... .......... .......... .......... 11%  870K 38s\n"," 25150K .......... .......... .......... .......... .......... 11%  214M 38s\n"," 25200K .......... .......... .......... .......... .......... 11% 16,5M 38s\n"," 25250K .......... .......... .......... .......... .......... 11%  515K 38s\n"," 25300K .......... .......... .......... .......... .......... 11%  274M 38s\n"," 25350K .......... .......... .......... .......... .......... 12% 32,2M 38s\n"," 25400K .......... .......... .......... .......... .......... 12%  323M 38s\n"," 25450K .......... .......... .......... .......... .......... 12% 11,9M 38s\n"," 25500K .......... .......... .......... .......... .......... 12% 5,31M 38s\n"," 25550K .......... .......... .......... .......... .......... 12%  382M 38s\n"," 25600K .......... .......... .......... .......... .......... 12% 4,72M 38s\n"," 25650K .......... .......... .......... .......... .......... 12%  251M 38s\n"," 25700K .......... .......... .......... .......... .......... 12%  779M 38s\n"," 25750K .......... .......... .......... .......... .......... 12%  864M 38s\n"," 25800K .......... .......... .......... .......... .......... 12% 28,3M 37s\n"," 25850K .......... .......... .......... .......... .......... 12%  248M 37s\n"," 25900K .......... .......... .......... .......... .......... 12%  565M 37s\n"," 25950K .......... .......... .......... .......... .......... 12% 12,4M 37s\n"," 26000K .......... .......... .......... .......... .......... 12% 28,1M 37s\n"," 26050K .......... .......... .......... .......... .......... 12%  185M 37s\n"," 26100K .......... .......... 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37s\n"," 27350K .......... .......... .......... .......... .......... 12%  320M 37s\n"," 27400K .......... .......... .......... .......... .......... 12%  464M 37s\n"," 27450K .......... .......... .......... .......... .......... 12%  558M 37s\n"," 27500K .......... .......... .......... .......... .......... 13% 5,93M 37s\n"," 27550K .......... .......... .......... .......... .......... 13% 12,6M 37s\n"," 27600K .......... .......... .......... .......... .......... 13%  166M 37s\n"," 27650K .......... .......... .......... .......... .......... 13%  251M 37s\n"," 27700K .......... .......... .......... .......... .......... 13%  208M 36s\n"," 27750K .......... .......... .......... .......... .......... 13%  473M 36s\n"," 27800K .......... .......... .......... .......... .......... 13%  114M 36s\n"," 27850K .......... .......... .......... .......... .......... 13%  252K 38s\n"," 27900K .......... .......... .......... .......... .......... 13%  148M 37s\n"," 27950K .......... 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381M 36s\n"," 29200K .......... .......... .......... .......... .......... 13%  254K 37s\n"," 29250K .......... .......... .......... .......... .......... 13%  241M 37s\n"," 29300K .......... .......... .......... .......... .......... 13%  460M 37s\n"," 29350K .......... .......... .......... .......... .......... 13%  680M 37s\n"," 29400K .......... .......... .......... .......... .......... 13% 2,22M 37s\n"," 29450K .......... .......... .......... .......... .......... 13%  297M 37s\n"," 29500K .......... .......... .......... .......... .......... 13%  170M 37s\n"," 29550K .......... .......... .......... .......... .......... 13%  186M 37s\n"," 29600K .......... .......... .......... .......... .......... 14% 2,25M 37s\n"," 29650K .......... .......... .......... .......... .......... 14%  212M 37s\n"," 29700K .......... .......... .......... .......... .......... 14%  341M 37s\n"," 29750K .......... .......... .......... .......... .......... 14%  205M 37s\n"," 29800K .......... .......... .......... .......... .......... 14% 15,5M 37s\n"," 29850K .......... .......... .......... .......... .......... 14%  515M 36s\n"," 29900K .......... .......... .......... .......... .......... 14%  665M 36s\n"," 29950K .......... .......... .......... .......... .......... 14%  409M 36s\n"," 30000K .......... .......... .......... .......... .......... 14% 28,2M 36s\n"," 30050K .......... .......... .......... .......... .......... 14%  395M 36s\n"," 30100K .......... .......... .......... .......... .......... 14%  509M 36s\n"," 30150K .......... .......... .......... .......... .......... 14% 64,2M 36s\n"," 30200K .......... .......... .......... .......... .......... 14%  342M 36s\n"," 30250K .......... .......... .......... .......... .......... 14% 21,7M 36s\n"," 30300K .......... .......... .......... .......... .......... 14%  291M 36s\n"," 30350K .......... .......... .......... .......... .......... 14%  671M 36s\n"," 30400K .......... .......... 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36s\n"," 31650K .......... .......... .......... .......... .......... 14%  226M 35s\n"," 31700K .......... .......... .......... .......... .......... 15%  122M 35s\n"," 31750K .......... .......... .......... .......... .......... 15%  642M 35s\n"," 31800K .......... .......... .......... .......... .......... 15% 43,1M 35s\n"," 31850K .......... .......... .......... .......... .......... 15%  279M 35s\n"," 31900K .......... .......... .......... .......... .......... 15%  430K 36s\n"," 31950K .......... .......... .......... .......... .......... 15%  702M 36s\n"," 32000K .......... .......... .......... .......... .......... 15%  285M 36s\n"," 32050K .......... .......... .......... .......... .......... 15%  516M 36s\n"," 32100K .......... .......... .......... .......... .......... 15%  600K 36s\n"," 32150K .......... .......... .......... .......... .......... 15%  396M 36s\n"," 32200K .......... .......... .......... .......... .......... 15%  631M 36s\n"," 32250K .......... 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381K 36s\n"," 33500K .......... .......... .......... .......... .......... 15%  227M 36s\n"," 33550K .......... .......... .......... .......... .......... 15%  470M 36s\n"," 33600K .......... .......... .......... .......... .......... 15%  292M 35s\n"," 33650K .......... .......... .......... .......... .......... 15% 1,63M 36s\n"," 33700K .......... .......... .......... .......... .......... 15%  377M 36s\n"," 33750K .......... .......... .......... .......... .......... 15%  279M 35s\n"," 33800K .......... .......... .......... .......... .......... 15%  656M 35s\n"," 33850K .......... .......... .......... .......... .......... 16% 7,19M 35s\n"," 33900K .......... .......... .......... .......... .......... 16%  283M 35s\n"," 33950K .......... .......... .......... .......... .......... 16%  548M 35s\n"," 34000K .......... .......... .......... .......... .......... 16% 14,5M 35s\n"," 34050K .......... .......... .......... .......... .......... 16%  534M 35s\n"," 34100K 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34s\n"," 35950K .......... .......... .......... .......... .......... 17%  142M 34s\n"," 36000K .......... .......... .......... .......... .......... 17%  325M 34s\n"," 36050K .......... .......... .......... .......... .......... 17%  341M 34s\n"," 36100K .......... .......... .......... .......... .......... 17%  733M 34s\n"," 36150K .......... .......... .......... .......... .......... 17%  554M 34s\n"," 36200K .......... .......... .......... .......... .......... 17%  259K 35s\n"," 36250K .......... .......... .......... .......... .......... 17%  275M 35s\n"," 36300K .......... .......... .......... .......... .......... 17%  447M 35s\n"," 36350K .......... .......... .......... .......... .......... 17%  321M 35s\n"," 36400K .......... .......... .......... .......... .......... 17% 3,41M 35s\n"," 36450K .......... .......... .......... .......... .......... 17% 33,0M 35s\n"," 36500K .......... .......... .......... .......... .......... 17%  333M 35s\n"," 36550K .......... 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.......... .......... 17% 24,4M 34s\n"," 37200K .......... .......... .......... .......... .......... 17%  277M 34s\n"," 37250K .......... .......... .......... .......... .......... 17%  710M 34s\n"," 37300K .......... .......... .......... .......... .......... 17%  579M 34s\n"," 37350K .......... .......... .......... .......... .......... 17% 26,2M 34s\n"," 37400K .......... .......... .......... .......... .......... 17%  216M 34s\n"," 37450K .......... .......... .......... .......... .......... 17%  286M 34s\n"," 37500K .......... .......... .......... .......... .......... 17%  302M 34s\n"," 37550K .......... .......... .......... .......... .......... 17%  513M 34s\n"," 37600K .......... .......... .......... .......... .......... 17%  337K 34s\n"," 37650K .......... .......... .......... .......... .......... 17% 27,0M 34s\n"," 37700K .......... .......... .......... .......... .......... 17%  422M 34s\n"," 37750K .......... .......... .......... .......... .......... 17%  415M 34s\n"," 37800K .......... .......... .......... .......... .......... 17% 1,36M 34s\n"," 37850K .......... .......... .......... .......... .......... 17%  207M 34s\n"," 37900K .......... .......... .......... .......... .......... 17%  411M 34s\n"," 37950K .......... .......... .......... .......... .......... 17%  519M 34s\n"," 38000K .......... .......... .......... .......... .......... 17% 3,35M 34s\n"," 38050K .......... .......... .......... .......... .......... 18% 65,2M 34s\n"," 38100K .......... .......... .......... .......... .......... 18%  347M 34s\n"," 38150K .......... .......... .......... .......... .......... 18% 4,35M 34s\n"," 38200K .......... .......... .......... .......... .......... 18%  262M 34s\n"," 38250K .......... .......... .......... .......... .......... 18%  541M 34s\n"," 38300K .......... .......... .......... .......... .......... 18% 28,0M 34s\n"," 38350K .......... .......... .......... .......... .......... 18%  425M 34s\n"," 38400K .......... .......... .......... .......... .......... 18%  145M 34s\n"," 38450K .......... .......... .......... .......... .......... 18%  741M 34s\n"," 38500K .......... .......... .......... .......... .......... 18% 3,18M 34s\n"," 38550K .......... .......... .......... .......... .......... 18%  307M 34s\n"," 38600K .......... .......... .......... .......... .......... 18%  628M 33s\n"," 38650K .......... .......... .......... .......... .......... 18% 50,4M 33s\n"," 38700K .......... .......... .......... .......... .......... 18%  281M 33s\n"," 38750K .......... .......... .......... .......... .......... 18%  542M 33s\n"," 38800K .......... .......... .......... .......... .......... 18% 20,6M 33s\n"," 38850K .......... .......... .......... .......... .......... 18%  299M 33s\n"," 38900K .......... .......... .......... .......... .......... 18%  229M 33s\n"," 38950K .......... .......... .......... .......... .......... 18%  387M 33s\n"," 39000K .......... .......... .......... .......... .......... 18%  438K 34s\n"," 39050K .......... .......... .......... .......... .......... 18% 35,1M 34s\n"," 39100K .......... .......... .......... .......... .......... 18%  294M 33s\n"," 39150K .......... .......... .......... .......... .......... 18%  356M 33s\n"," 39200K .......... .......... .......... .......... .......... 18% 1,25M 34s\n"," 39250K .......... .......... .......... .......... .......... 18%  352M 33s\n"," 39300K .......... .......... .......... .......... .......... 18%  466M 33s\n"," 39350K .......... .......... .......... .......... .......... 18%  359M 33s\n"," 39400K .......... .......... .......... .......... .......... 18% 3,35M 33s\n"," 39450K .......... .......... .......... .......... .......... 18% 6,82M 33s\n"," 39500K .......... .......... .......... .......... .......... 18% 86,3M 33s\n"," 39550K .......... .......... .......... .......... .......... 18% 2,39M 33s\n"," 39600K .......... .......... .......... .......... .......... 18%  224M 33s\n"," 39650K .......... .......... .......... .......... .......... 18%  296M 33s\n"," 39700K .......... .......... .......... .......... .......... 18%  441M 33s\n"," 39750K .......... .......... .......... .......... .......... 18% 33,2M 33s\n"," 39800K .......... .......... .......... .......... .......... 18%  281M 33s\n"," 39850K .......... .......... .......... .......... .......... 18%  543M 33s\n"," 39900K .......... .......... .......... .......... .......... 18% 2,55M 33s\n"," 39950K .......... .......... .......... .......... .......... 18%  536M 33s\n"," 40000K .......... .......... .......... .......... .......... 18%  339M 33s\n"," 40050K .......... .......... .......... .......... .......... 18% 36,9M 33s\n"," 40100K .......... .......... .......... .......... .......... 18%  427M 33s\n"," 40150K .......... .......... .......... .......... .......... 19%  187M 33s\n"," 40200K .......... .......... .......... .......... .......... 19%  141M 33s\n"," 40250K .......... .......... .......... .......... .......... 19% 30,0M 33s\n"," 40300K .......... .......... .......... .......... .......... 19%  310M 33s\n"," 40350K .......... .......... .......... .......... .......... 19%  487M 33s\n"," 40400K .......... .......... .......... .......... .......... 19%  516K 33s\n"," 40450K .......... .......... .......... .......... .......... 19%  627M 33s\n"," 40500K .......... .......... .......... .......... .......... 19%  334M 33s\n"," 40550K .......... .......... .......... .......... .......... 19%  299M 33s\n"," 40600K .......... .......... .......... .......... .......... 19% 1,34M 33s\n"," 40650K .......... .......... .......... .......... .......... 19%  323M 33s\n"," 40700K .......... .......... .......... .......... .......... 19%  250M 33s\n"," 40750K .......... .......... .......... .......... .......... 19%  269M 33s\n"," 40800K .......... .......... .......... .......... .......... 19% 5,85M 33s\n"," 40850K .......... .......... .......... .......... .......... 19% 6,15M 33s\n"," 40900K .......... .......... .......... .......... .......... 19% 34,9M 33s\n"," 40950K .......... .......... .......... .......... .......... 19%  975K 33s\n"," 41000K .......... .......... .......... .......... .......... 19% 2,69M 33s\n"," 41050K .......... .......... .......... .......... .......... 19%  242M 33s\n"," 41100K .......... .......... .......... .......... .......... 19%  385M 33s\n"," 41150K .......... .......... .......... .......... .......... 19% 20,2M 33s\n"," 41200K .......... .......... .......... .......... .......... 19%  405M 33s\n"," 41250K .......... .......... .......... .......... .......... 19%  365M 33s\n"," 41300K .......... .......... .......... .......... .......... 19%  499M 33s\n"," 41350K .......... .......... .......... .......... .......... 19% 32,2M 33s\n"," 41400K .......... .......... .......... .......... .......... 19%  255M 33s\n"," 41450K .......... .......... .......... 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20,9M 32s\n"," 42100K .......... .......... .......... .......... .......... 19%  171M 32s\n"," 42150K .......... .......... .......... .......... .......... 19%  321M 32s\n"," 42200K .......... .......... .......... .......... .......... 19% 26,5M 32s\n"," 42250K .......... .......... .......... .......... .......... 19% 6,94M 32s\n"," 42300K .......... .......... .......... .......... .......... 20% 48,1M 32s\n"," 42350K .......... .......... .......... .......... .......... 20%  553K 32s\n"," 42400K .......... .......... .......... .......... .......... 20%  250M 32s\n"," 42450K .......... .......... .......... .......... .......... 20%  403M 32s\n"," 42500K .......... .......... .......... .......... .......... 20%  602M 32s\n"," 42550K .......... .......... .......... .......... .......... 20% 73,4M 32s\n"," 42600K .......... .......... .......... .......... .......... 20%  329M 32s\n"," 42650K .......... .......... .......... .......... .......... 20% 2,26M 32s\n"," 42700K 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31s\n"," 44550K .......... .......... .......... .......... .......... 21%  709M 31s\n"," 44600K .......... .......... .......... .......... .......... 21%  101M 31s\n"," 44650K .......... .......... .......... .......... .......... 21% 3,60M 31s\n"," 44700K .......... .......... .......... .......... .......... 21%  276M 31s\n"," 44750K .......... .......... .......... .......... .......... 21%  642M 31s\n"," 44800K .......... .......... .......... .......... .......... 21%  344M 31s\n"," 44850K .......... .......... .......... .......... .......... 21% 1,36M 31s\n"," 44900K .......... .......... .......... .......... .......... 21%  147M 31s\n"," 44950K .......... .......... .......... .......... .......... 21% 5,01M 31s\n"," 45000K .......... .......... .......... .......... .......... 21% 4,22M 31s\n"," 45050K .......... .......... .......... .......... .......... 21%  151M 31s\n"," 45100K .......... .......... .......... .......... .......... 21%  290M 31s\n"," 45150K .......... 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516M 31s\n"," 46400K .......... .......... .......... .......... .......... 21% 2,16M 31s\n"," 46450K .......... .......... .......... .......... .......... 21% 82,8M 31s\n"," 46500K .......... .......... .......... .......... .......... 22% 14,0M 31s\n"," 46550K .......... .......... .......... .......... .......... 22%  134M 31s\n"," 46600K .......... .......... .......... .......... .......... 22%  427K 31s\n"," 46650K .......... .......... .......... .......... .......... 22%  220M 31s\n"," 46700K .......... .......... .......... .......... .......... 22%  376M 31s\n"," 46750K .......... .......... .......... .......... .......... 22%  399K 31s\n"," 46800K .......... .......... .......... .......... .......... 22%  223M 31s\n"," 46850K .......... .......... .......... .......... .......... 22%  392M 31s\n"," 46900K .......... .......... .......... .......... .......... 22%  527M 31s\n"," 46950K .......... .......... .......... .......... .......... 22% 31,8M 31s\n"," 47000K 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31s\n"," 48850K .......... .......... .......... .......... .......... 23%  372M 31s\n"," 48900K .......... .......... .......... .......... .......... 23% 22,1M 31s\n"," 48950K .......... .......... .......... .......... .......... 23%  315M 30s\n"," 49000K .......... .......... .......... .......... .......... 23%  183M 30s\n"," 49050K .......... .......... .......... .......... .......... 23%  240M 30s\n"," 49100K .......... .......... .......... .......... .......... 23% 52,8M 30s\n"," 49150K .......... .......... .......... .......... .......... 23%  108M 30s\n"," 49200K .......... .......... .......... .......... .......... 23%  249M 30s\n"," 49250K .......... .......... .......... .......... .......... 23% 27,8M 30s\n"," 49300K .......... .......... .......... .......... .......... 23%  357M 30s\n"," 49350K .......... .......... .......... .......... .......... 23%  465M 30s\n"," 49400K .......... .......... .......... .......... .......... 23%  375M 30s\n"," 49450K .......... 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.......... .......... 23%  687M 30s\n"," 50100K .......... .......... .......... .......... .......... 23% 30,0M 30s\n"," 50150K .......... .......... .......... .......... .......... 23%  951K 30s\n"," 50200K .......... .......... .......... .......... .......... 23% 21,7M 30s\n"," 50250K .......... .......... .......... .......... .......... 23%  440M 30s\n"," 50300K .......... .......... .......... .......... .......... 23%  520M 30s\n"," 50350K .......... .......... .......... .......... .......... 23% 16,4M 30s\n"," 50400K .......... .......... .......... .......... .......... 23% 95,4M 30s\n"," 50450K .......... .......... .......... .......... .......... 23% 3,36M 30s\n"," 50500K .......... .......... .......... .......... .......... 23%  729M 30s\n"," 50550K .......... .......... .......... .......... .......... 23%  433M 30s\n"," 50600K .......... .......... .......... .......... .......... 23% 5,58M 30s\n"," 50650K .......... .......... .......... .......... .......... 23%  280M 30s\n"," 50700K .......... .......... .......... .......... .......... 23%  552M 30s\n"," 50750K .......... .......... .......... .......... .......... 24%  142M 30s\n"," 50800K .......... .......... .......... .......... .......... 24%  145M 30s\n"," 50850K .......... .......... .......... .......... .......... 24% 3,23M 30s\n"," 50900K .......... .......... .......... .......... .......... 24%  243M 30s\n"," 50950K .......... .......... .......... .......... .......... 24%  517M 30s\n"," 51000K .......... .......... .......... .......... .......... 24%  348M 30s\n"," 51050K .......... .......... .......... .......... .......... 24%  768K 30s\n"," 51100K .......... .......... .......... .......... .......... 24% 4,56M 30s\n"," 51150K .......... .......... .......... .......... .......... 24%  382M 30s\n"," 51200K .......... .......... .......... .......... .......... 24%  276M 30s\n"," 51250K .......... .......... .......... .......... .......... 24% 1,64M 30s\n"," 51300K .......... .......... .......... .......... .......... 24%  390M 30s\n"," 51350K .......... .......... .......... .......... .......... 24%  324M 30s\n"," 51400K .......... .......... .......... .......... .......... 24%  688M 30s\n"," 51450K .......... .......... .......... .......... .......... 24% 37,4M 30s\n"," 51500K .......... .......... .......... .......... .......... 24%  288M 30s\n"," 51550K .......... .......... .......... .......... .......... 24%  419M 30s\n"," 51600K .......... .......... .......... .......... .......... 24%  809K 30s\n"," 51650K .......... .......... .......... .......... .......... 24% 25,1M 30s\n"," 51700K .......... .......... .......... .......... .......... 24%  404M 30s\n"," 51750K .......... .......... .......... .......... .......... 24% 9,39M 30s\n"," 51800K .......... .......... .......... .......... .......... 24%  238M 30s\n"," 51850K .......... .......... .......... .......... .......... 24%  606M 30s\n"," 51900K .......... .......... .......... .......... .......... 24% 1,47M 30s\n"," 51950K .......... .......... .......... .......... .......... 24%  258M 30s\n"," 52000K .......... .......... .......... .......... .......... 24%  474M 30s\n"," 52050K .......... .......... .......... .......... .......... 24%  595M 30s\n"," 52100K .......... .......... .......... .......... .......... 24% 31,4M 30s\n"," 52150K .......... .......... .......... .......... .......... 24%  221M 30s\n"," 52200K .......... .......... .......... .......... .......... 24%  286M 29s\n"," 52250K .......... .......... .......... .......... .......... 24% 8,61M 29s\n"," 52300K .......... .......... .......... .......... .......... 24%  230M 29s\n"," 52350K .......... .......... .......... .......... .......... 24%  209M 29s\n"," 52400K .......... .......... .......... .......... .......... 24%  358M 29s\n"," 52450K .......... .......... .......... .......... .......... 24% 51,3M 29s\n"," 52500K .......... .......... .......... .......... .......... 24% 1,02M 29s\n"," 52550K .......... .......... .......... .......... .......... 24% 3,90M 29s\n"," 52600K .......... .......... .......... .......... .......... 24%  266M 29s\n"," 52650K .......... .......... .......... .......... .......... 24% 1,55M 29s\n"," 52700K .......... .......... .......... .......... .......... 24% 23,3M 29s\n"," 52750K .......... .......... .......... .......... .......... 24%  318M 29s\n"," 52800K .......... .......... .......... .......... .......... 24%  198M 29s\n"," 52850K .......... .......... .......... .......... .......... 25%  303M 29s\n"," 52900K .......... .......... .......... .......... .......... 25% 6,86M 29s\n"," 52950K .......... .......... .......... .......... .......... 25% 80,3M 29s\n"," 53000K .......... .......... .......... .......... .......... 25% 1,10M 29s\n"," 53050K .......... .......... .......... .......... .......... 25% 3,04M 29s\n"," 53100K .......... .......... .......... .......... .......... 25%  230M 29s\n"," 53150K .......... .......... .......... .......... .......... 25%  350M 29s\n"," 53200K .......... .......... .......... .......... .......... 25%  272M 29s\n"," 53250K .......... .......... .......... .......... .......... 25%  738M 29s\n"," 53300K .......... .......... .......... .......... .......... 25% 1,24M 29s\n"," 53350K .......... .......... .......... .......... .......... 25% 35,4M 29s\n"," 53400K .......... .......... .......... .......... .......... 25%  411M 29s\n"," 53450K .......... .......... .......... .......... .......... 25% 4,68M 29s\n"," 53500K .......... .......... .......... .......... .......... 25%  315M 29s\n"," 53550K .......... .......... .......... .......... .......... 25%  435M 29s\n"," 53600K .......... .......... .......... .......... .......... 25%  542M 29s\n"," 53650K .......... .......... .......... .......... .......... 25% 4,92M 29s\n"," 53700K .......... .......... .......... .......... .......... 25%  673M 29s\n"," 53750K .......... 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.......... .......... 25% 40,0M 29s\n"," 54400K .......... .......... .......... .......... .......... 25%  361M 29s\n"," 54450K .......... .......... .......... .......... .......... 25% 2,32M 29s\n"," 54500K .......... .......... .......... .......... .......... 25% 2,04M 29s\n"," 54550K .......... .......... .......... .......... .......... 25% 9,37M 29s\n"," 54600K .......... .......... .......... .......... .......... 25%  433M 29s\n"," 54650K .......... .......... .......... .......... .......... 25% 68,7M 29s\n"," 54700K .......... .......... .......... .......... .......... 25%  383M 29s\n"," 54750K .......... .......... .......... .......... .......... 25% 1,06M 29s\n"," 54800K .......... .......... .......... .......... .......... 25% 59,8M 29s\n"," 54850K .......... .......... .......... .......... .......... 25% 80,8M 29s\n"," 54900K .......... .......... .......... .......... .......... 25% 1,39M 29s\n"," 54950K .......... .......... .......... .......... .......... 25%  276M 29s\n"," 55000K .......... .......... .......... .......... .......... 26% 23,6M 29s\n"," 55050K .......... .......... .......... .......... .......... 26%  437M 29s\n"," 55100K .......... .......... .......... .......... .......... 26%  461M 29s\n"," 55150K .......... .......... .......... .......... .......... 26% 56,0M 29s\n"," 55200K .......... .......... .......... .......... .......... 26%  279M 29s\n"," 55250K .......... .......... .......... .......... .......... 26%  277M 29s\n"," 55300K .......... .......... .......... .......... .......... 26% 14,0M 29s\n"," 55350K .......... .......... .......... .......... .......... 26%  272M 29s\n"," 55400K .......... .......... .......... .......... .......... 26%  197M 29s\n"," 55450K .......... .......... .......... .......... .......... 26% 11,1M 29s\n"," 55500K .......... .......... .......... .......... .......... 26%  671M 28s\n"," 55550K .......... .......... .......... .......... .......... 26% 1,23M 29s\n"," 55600K .......... .......... .......... .......... .......... 26% 4,76M 29s\n"," 55650K .......... .......... .......... .......... .......... 26%  338M 29s\n"," 55700K .......... .......... .......... .......... .......... 26%  479M 28s\n"," 55750K .......... .......... .......... .......... .......... 26% 11,4M 28s\n"," 55800K .......... .......... .......... .......... .......... 26% 16,4M 28s\n"," 55850K .......... .......... .......... .......... .......... 26%  439M 28s\n"," 55900K .......... .......... .......... .......... .......... 26% 3,54M 28s\n"," 55950K .......... .......... .......... .......... .......... 26% 1,27M 28s\n"," 56000K .......... .......... .......... .......... .......... 26% 76,4M 28s\n"," 56050K .......... .......... .......... .......... .......... 26% 54,4M 28s\n"," 56100K .......... .......... .......... .......... .......... 26%  591M 28s\n"," 56150K .......... .......... .......... .......... .......... 26% 37,0M 28s\n"," 56200K .......... .......... 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28s\n"," 57450K .......... .......... .......... .......... .......... 27% 30,7M 28s\n"," 57500K .......... .......... .......... .......... .......... 27%  347M 28s\n"," 57550K .......... .......... .......... .......... .......... 27%  189M 28s\n"," 57600K .......... .......... .......... .......... .......... 27% 1,80M 28s\n"," 57650K .......... .......... .......... .......... .......... 27% 7,70M 28s\n"," 57700K .......... .......... .......... .......... .......... 27%  362M 28s\n"," 57750K .......... .......... .......... .......... .......... 27%  885K 28s\n"," 57800K .......... .......... .......... .......... .......... 27% 19,7M 28s\n"," 57850K .......... .......... .......... .......... .......... 27%  148M 28s\n"," 57900K .......... .......... .......... .......... .......... 27%  432M 28s\n"," 57950K .......... .......... .......... .......... .......... 27% 1,69M 28s\n"," 58000K .......... .......... .......... .......... .......... 27% 17,4M 28s\n"," 58050K .......... 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16,7M 28s\n"," 59300K .......... .......... .......... .......... .......... 28%  290M 28s\n"," 59350K .......... .......... .......... .......... .......... 28%  317M 28s\n"," 59400K .......... .......... .......... .......... .......... 28% 1,43M 28s\n"," 59450K .......... .......... .......... .......... .......... 28% 79,0M 28s\n"," 59500K .......... .......... .......... .......... .......... 28% 2,61M 28s\n"," 59550K .......... .......... .......... .......... .......... 28%  151M 28s\n"," 59600K .......... .......... .......... .......... .......... 28%  283M 28s\n"," 59650K .......... .......... .......... .......... .......... 28%  817M 28s\n"," 59700K .......... .......... .......... .......... .......... 28% 32,4M 28s\n"," 59750K .......... .......... .......... .......... .......... 28%  129M 28s\n"," 59800K .......... .......... .......... .......... .......... 28%  310M 27s\n"," 59850K .......... .......... .......... .......... .......... 28% 32,5M 27s\n"," 59900K .......... .......... .......... .......... .......... 28% 3,37M 27s\n"," 59950K .......... .......... .......... .......... .......... 28%  243M 27s\n"," 60000K .......... .......... .......... .......... .......... 28%  419M 27s\n"," 60050K .......... .......... .......... .......... .......... 28%  514M 27s\n"," 60100K .......... .......... .......... .......... .......... 28% 6,76M 27s\n"," 60150K .......... .......... .......... .......... .......... 28%  232M 27s\n"," 60200K .......... .......... .......... .......... .......... 28%  410M 27s\n"," 60250K .......... .......... .......... .......... .......... 28% 2,33M 27s\n"," 60300K .......... .......... .......... .......... .......... 28%  370M 27s\n"," 60350K .......... .......... .......... .......... .......... 28%  214M 27s\n"," 60400K .......... .......... .......... .......... .......... 28%  355M 27s\n"," 60450K .......... .......... .......... .......... .......... 28% 42,1M 27s\n"," 60500K .......... .......... 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27s\n"," 61750K .......... .......... .......... .......... .......... 29%  470M 27s\n"," 61800K .......... .......... .......... .......... .......... 29%  426M 27s\n"," 61850K .......... .......... .......... .......... .......... 29%  491M 27s\n"," 61900K .......... .......... .......... .......... .......... 29%  750M 27s\n"," 61950K .......... .......... .......... .......... .......... 29%  456M 27s\n"," 62000K .......... .......... .......... .......... .......... 29%  466M 27s\n"," 62050K .......... .......... .......... .......... .......... 29% 1,20M 27s\n"," 62100K .......... .......... .......... .......... .......... 29% 1,07M 27s\n"," 62150K .......... .......... .......... .......... .......... 29% 36,5M 27s\n"," 62200K .......... .......... .......... .......... .......... 29%  181M 27s\n"," 62250K .......... .......... .......... .......... .......... 29%  765M 27s\n"," 62300K .......... .......... .......... .......... .......... 29% 1,23M 27s\n"," 62350K .......... .......... .......... .......... .......... 29% 23,1M 27s\n"," 62400K .......... .......... .......... .......... .......... 29%  751K 27s\n"," 62450K .......... .......... .......... .......... .......... 29%  221M 27s\n"," 62500K .......... .......... .......... .......... .......... 29%  522M 27s\n"," 62550K .......... .......... .......... .......... .......... 29%  499M 27s\n"," 62600K .......... .......... .......... .......... .......... 29% 3,58M 27s\n"," 62650K .......... .......... .......... .......... .......... 29%  275M 27s\n"," 62700K .......... .......... .......... .......... .......... 29%  392M 27s\n"," 62750K .......... .......... .......... .......... .......... 29% 29,8M 27s\n"," 62800K .......... .......... .......... .......... .......... 29%  130M 27s\n"," 62850K .......... .......... .......... .......... .......... 29%  393M 27s\n"," 62900K .......... .......... .......... .......... .......... 29%  785M 27s\n"," 62950K .......... .......... .......... .......... .......... 29% 15,8M 27s\n"," 63000K .......... .......... .......... .......... .......... 29%  180M 27s\n"," 63050K .......... .......... .......... .......... .......... 29%  651M 27s\n"," 63100K .......... .......... .......... .......... .......... 29% 26,9M 27s\n"," 63150K .......... .......... .......... .......... .......... 29%  116M 27s\n"," 63200K .......... .......... .......... .......... .......... 29%  300M 27s\n"," 63250K .......... .......... .......... .......... .......... 29%  159M 27s\n"," 63300K .......... .......... .......... .......... .......... 29%  701M 26s\n"," 63350K .......... .......... .......... .......... .......... 29%  434M 26s\n"," 63400K .......... .......... .......... .......... .......... 29% 16,9M 26s\n"," 63450K .......... .......... .......... .......... .......... 30% 3,40M 26s\n"," 63500K .......... .......... .......... .......... .......... 30% 1,75M 26s\n"," 63550K .......... .......... .......... .......... .......... 30% 1,71M 27s\n"," 63600K .......... .......... .......... .......... .......... 30%  265M 26s\n"," 63650K .......... .......... .......... .......... .......... 30%  450M 26s\n"," 63700K .......... .......... .......... .......... .......... 30%  413M 26s\n"," 63750K .......... .......... .......... .......... .......... 30% 1,54M 26s\n"," 63800K .......... .......... .......... .......... .......... 30%  604K 27s\n"," 63850K .......... .......... .......... .......... .......... 30% 1,77M 27s\n"," 63900K .......... .......... .......... .......... .......... 30%  218M 27s\n"," 63950K .......... .......... .......... .......... .......... 30%  325M 27s\n"," 64000K .......... .......... .......... .......... .......... 30%  233M 27s\n"," 64050K .......... .......... .......... .......... .......... 30% 1,95M 27s\n"," 64100K .......... .......... .......... .......... .......... 30%  438M 27s\n"," 64150K .......... .......... .......... .......... .......... 30%  553M 27s\n"," 64200K .......... .......... .......... .......... .......... 30% 10,1M 27s\n"," 64250K .......... .......... .......... .......... .......... 30%  194M 27s\n"," 64300K .......... .......... .......... .......... .......... 30%  290M 26s\n"," 64350K .......... .......... .......... .......... .......... 30%  460M 26s\n"," 64400K .......... .......... .......... .......... .......... 30% 24,8M 26s\n"," 64450K .......... .......... .......... .......... .......... 30%  372M 26s\n"," 64500K .......... .......... .......... .......... .......... 30%  300M 26s\n"," 64550K .......... .......... .......... .......... .......... 30%  361M 26s\n"," 64600K .......... .......... .......... .......... .......... 30% 12,7M 26s\n"," 64650K .......... .......... .......... .......... .......... 30%  452M 26s\n"," 64700K .......... .......... .......... .......... .......... 30%  310M 26s\n"," 64750K .......... .......... .......... .......... .......... 30%  531M 26s\n"," 64800K .......... .......... .......... .......... .......... 30% 33,6M 26s\n"," 64850K .......... .......... .......... .......... .......... 30%  327M 26s\n"," 64900K .......... .......... .......... .......... .......... 30%  861M 26s\n"," 64950K .......... .......... .......... .......... .......... 30% 5,18M 26s\n"," 65000K .......... .......... .......... .......... .......... 30% 3,35M 26s\n"," 65050K .......... .......... .......... .......... .......... 30%  158M 26s\n"," 65100K .......... .......... .......... .......... .......... 30%  279M 26s\n"," 65150K .......... .......... .......... .......... .......... 30% 34,9M 26s\n"," 65200K .......... .......... .......... .......... .......... 30% 2,43M 26s\n"," 65250K .......... .......... .......... .......... .......... 30%  598K 26s\n"," 65300K .......... .......... .......... .......... .......... 30%  758K 26s\n"," 65350K .......... .......... .......... .......... .......... 30%  489M 26s\n"," 65400K .......... .......... .......... .......... .......... 30%  679M 26s\n"," 65450K .......... .......... .......... .......... .......... 30% 2,78M 26s\n"," 65500K .......... .......... .......... .......... .......... 30%  219M 26s\n"," 65550K .......... .......... .......... .......... .......... 31%  155M 26s\n"," 65600K .......... .......... .......... .......... .......... 31%  336M 26s\n"," 65650K .......... .......... .......... .......... .......... 31% 2,23M 26s\n"," 65700K .......... .......... .......... .......... .......... 31%  248M 26s\n"," 65750K .......... .......... .......... .......... .......... 31%  292M 26s\n"," 65800K .......... .......... .......... .......... .......... 31%  580M 26s\n"," 65850K .......... .......... .......... .......... .......... 31% 15,6M 26s\n"," 65900K .......... .......... .......... .......... .......... 31%  168M 26s\n"," 65950K .......... .......... .......... .......... .......... 31%  237M 26s\n"," 66000K .......... .......... .......... .......... .......... 31% 38,7M 26s\n"," 66050K .......... .......... .......... .......... .......... 31% 10,4M 26s\n"," 66100K .......... .......... .......... .......... .......... 31%  315M 26s\n"," 66150K .......... .......... .......... .......... .......... 31%  451M 26s\n"," 66200K .......... .......... .......... .......... .......... 31% 28,9M 26s\n"," 66250K .......... .......... .......... .......... .......... 31%  425M 26s\n"," 66300K .......... .......... .......... .......... .......... 31%  250M 26s\n"," 66350K .......... .......... .......... .......... .......... 31%  498M 26s\n"," 66400K .......... .......... .......... .......... .......... 31% 25,9M 26s\n"," 66450K .......... .......... .......... .......... .......... 31%  316M 26s\n"," 66500K .......... .......... .......... .......... .......... 31%  797M 26s\n"," 66550K .......... .......... .......... .......... .......... 31%  192M 26s\n"," 66600K .......... .......... .......... .......... .......... 31% 9,86M 26s\n"," 66650K .......... .......... .......... .......... .......... 31%  726K 26s\n"," 66700K .......... .......... .......... .......... .......... 31%  453K 26s\n"," 66750K .......... .......... .......... .......... .......... 31% 20,3M 26s\n"," 66800K .......... .......... .......... .......... .......... 31%  261M 26s\n"," 66850K .......... .......... .......... .......... .......... 31% 18,8M 26s\n"," 66900K .......... .......... .......... .......... .......... 31% 1,08M 26s\n"," 66950K .......... .......... .......... .......... .......... 31%  317M 26s\n"," 67000K .......... .......... .......... .......... .......... 31%  382M 26s\n"," 67050K .......... .......... .......... .......... .......... 31% 23,0M 26s\n"," 67100K .......... .......... .......... .......... .......... 31%  292M 26s\n"," 67150K .......... .......... .......... .......... .......... 31%  559M 26s\n"," 67200K .......... .......... .......... .......... .......... 31%  266M 26s\n"," 67250K .......... .......... .......... .......... .......... 31% 26,3M 26s\n"," 67300K .......... .......... .......... .......... .......... 31%  418M 26s\n"," 67350K .......... .......... .......... .......... .......... 31%  429M 26s\n"," 67400K .......... .......... .......... .......... .......... 31% 13,5M 26s\n"," 67450K .......... .......... .......... .......... .......... 31%  240M 26s\n"," 67500K .......... .......... .......... .......... .......... 31%  282M 26s\n"," 67550K .......... .......... .......... .......... .......... 31%  270M 26s\n"," 67600K .......... .......... .......... .......... .......... 31% 17,7M 26s\n"," 67650K .......... .......... .......... .......... .......... 31%  173M 26s\n"," 67700K .......... .......... .......... .......... .......... 32% 74,8M 26s\n"," 67750K .......... .......... .......... .......... .......... 32%  197M 26s\n"," 67800K .......... .......... .......... .......... .......... 32% 86,3M 26s\n"," 67850K .......... .......... .......... .......... .......... 32%  407M 26s\n"," 67900K .......... .......... .......... .......... .......... 32%  267M 26s\n"," 67950K .......... .......... .......... .......... .......... 32% 21,2M 26s\n"," 68000K .......... .......... .......... .......... .......... 32%  413M 25s\n"," 68050K .......... .......... .......... .......... .......... 32%  317M 25s\n"," 68100K .......... .......... .......... .......... .......... 32% 2,18M 25s\n"," 68150K .......... .......... .......... .......... .......... 32%  462K 26s\n"," 68200K .......... .......... .......... .......... .......... 32%  917K 26s\n"," 68250K .......... .......... .......... .......... .......... 32% 37,0M 26s\n"," 68300K .......... .......... .......... .......... .......... 32%  125M 26s\n"," 68350K .......... .......... .......... .......... .......... 32% 3,91M 26s\n"," 68400K .......... .......... .......... .......... .......... 32% 23,6M 26s\n"," 68450K .......... .......... .......... .......... .......... 32%  294M 26s\n"," 68500K .......... .......... .......... .......... .......... 32%  307M 26s\n"," 68550K .......... .......... .......... .......... .......... 32%  557M 26s\n"," 68600K .......... .......... .......... .......... .......... 32% 2,48M 26s\n"," 68650K .......... .......... .......... .......... .......... 32%  325M 26s\n"," 68700K .......... .......... .......... .......... .......... 32%  479M 26s\n"," 68750K .......... .......... .......... .......... .......... 32% 19,4M 26s\n"," 68800K .......... .......... .......... .......... .......... 32%  115M 26s\n"," 68850K .......... .......... .......... .......... .......... 32%  184M 25s\n"," 68900K .......... .......... .......... .......... .......... 32%  234M 25s\n"," 68950K .......... .......... .......... .......... .......... 32% 67,1M 25s\n"," 69000K .......... .......... .......... .......... .......... 32%  369M 25s\n"," 69050K .......... .......... .......... .......... .......... 32%  541M 25s\n"," 69100K .......... .......... 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25s\n"," 70350K .......... .......... .......... .......... .......... 33%  764M 25s\n"," 70400K .......... .......... .......... .......... .......... 33% 13,6M 25s\n"," 70450K .......... .......... .......... .......... .......... 33%  279M 25s\n"," 70500K .......... .......... .......... .......... .......... 33%  478M 25s\n"," 70550K .......... .......... .......... .......... .......... 33%  418M 25s\n"," 70600K .......... .......... .......... .......... .......... 33% 27,6M 25s\n"," 70650K .......... .......... .......... .......... .......... 33%  119M 25s\n"," 70700K .......... .......... .......... .......... .......... 33%  256M 25s\n"," 70750K .......... .......... .......... .......... .......... 33% 14,4M 25s\n"," 70800K .......... .......... .......... .......... .......... 33%  314M 25s\n"," 70850K .......... .......... .......... .......... .......... 33%  508M 25s\n"," 70900K .......... .......... .......... .......... .......... 33%  484M 25s\n"," 70950K .......... 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368M 25s\n"," 72200K .......... .......... .......... .......... .......... 34%  633M 25s\n"," 72250K .......... .......... .......... .......... .......... 34% 82,7M 25s\n"," 72300K .......... .......... .......... .......... .......... 34% 26,5M 25s\n"," 72350K .......... .......... .......... .......... .......... 34%  221M 25s\n"," 72400K .......... .......... .......... .......... .......... 34%  360M 25s\n"," 72450K .......... .......... .......... .......... .......... 34%  789M 25s\n"," 72500K .......... .......... .......... .......... .......... 34%  791K 25s\n"," 72550K .......... .......... .......... .......... .......... 34% 43,8M 25s\n"," 72600K .......... .......... .......... .......... .......... 34% 6,47M 25s\n"," 72650K .......... .......... .......... .......... .......... 34% 2,45M 25s\n"," 72700K .......... .......... .......... .......... .......... 34% 12,4M 25s\n"," 72750K .......... .......... .......... .......... .......... 34%  139M 25s\n"," 72800K 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.......... 34%  197M 24s\n"," 74050K .......... .......... .......... .......... .......... 35% 29,2M 24s\n"," 74100K .......... .......... .......... .......... .......... 35% 2,90M 24s\n"," 74150K .......... .......... .......... .......... .......... 35% 3,14M 24s\n"," 74200K .......... .......... .......... .......... .......... 35%  249M 24s\n"," 74250K .......... .......... .......... .......... .......... 35%  579M 24s\n"," 74300K .......... .......... .......... .......... .......... 35% 1,57M 24s\n"," 74350K .......... .......... .......... .......... .......... 35%  363K 24s\n"," 74400K .......... .......... .......... .......... .......... 35%  163M 24s\n"," 74450K .......... .......... .......... .......... .......... 35%  186M 24s\n"," 74500K .......... .......... .......... .......... .......... 35%  398M 24s\n"," 74550K .......... .......... .......... .......... .......... 35% 24,1M 24s\n"," 74600K .......... .......... .......... .......... .......... 35%  261M 24s\n"," 74650K .......... .......... .......... .......... .......... 35%  434M 24s\n"," 74700K .......... .......... .......... .......... .......... 35% 11,0M 24s\n"," 74750K .......... .......... .......... .......... .......... 35%  195M 24s\n"," 74800K .......... .......... .......... .......... .......... 35%  461M 24s\n"," 74850K .......... .......... .......... .......... .......... 35%  563M 24s\n"," 74900K .......... .......... .......... .......... .......... 35% 24,4M 24s\n"," 74950K .......... .......... .......... .......... .......... 35%  469M 24s\n"," 75000K .......... .......... .......... .......... .......... 35%  334M 24s\n"," 75050K .......... .......... .......... .......... .......... 35% 19,0M 24s\n"," 75100K .......... .......... .......... .......... .......... 35%  245M 24s\n"," 75150K .......... .......... .......... .......... .......... 35%  744M 24s\n"," 75200K .......... .......... .......... .......... .......... 35%  311M 24s\n"," 75250K .......... .......... .......... .......... .......... 35% 29,3M 24s\n"," 75300K .......... .......... .......... .......... .......... 35%  301M 24s\n"," 75350K .......... .......... .......... .......... .......... 35%  445M 24s\n"," 75400K .......... .......... .......... .......... .......... 35% 50,4M 24s\n"," 75450K .......... .......... .......... .......... .......... 35%  312M 24s\n"," 75500K .......... .......... .......... .......... .......... 35%  324M 24s\n"," 75550K .......... .......... .......... .......... .......... 35% 5,20M 24s\n"," 75600K .......... .......... .......... .......... .......... 35% 5,39M 24s\n"," 75650K .......... .......... .......... .......... .......... 35% 8,22M 24s\n"," 75700K .......... .......... .......... .......... .......... 35%  230M 24s\n"," 75750K .......... .......... .......... .......... .......... 35% 3,01M 24s\n"," 75800K .......... .......... .......... .......... .......... 35%  234K 24s\n"," 75850K .......... .......... .......... .......... .......... 35%  547M 24s\n"," 75900K .......... .......... .......... .......... .......... 35%  733M 24s\n"," 75950K .......... .......... .......... .......... .......... 35% 25,9M 24s\n"," 76000K .......... .......... .......... .......... .......... 35%  176M 24s\n"," 76050K .......... .......... .......... .......... .......... 35%  135M 24s\n"," 76100K .......... .......... .......... .......... .......... 35%  485M 24s\n"," 76150K .......... .......... .......... .......... .......... 36%  139M 24s\n"," 76200K .......... .......... .......... .......... .......... 36% 16,9M 24s\n"," 76250K .......... .......... .......... .......... .......... 36%  292M 24s\n"," 76300K .......... .......... .......... .......... .......... 36%  863M 24s\n"," 76350K .......... .......... .......... .......... .......... 36% 26,1M 24s\n"," 76400K .......... .......... .......... .......... .......... 36%  200M 24s\n"," 76450K .......... .......... .......... .......... .......... 36%  870M 24s\n"," 76500K .......... .......... .......... .......... .......... 36% 16,0M 24s\n"," 76550K .......... .......... .......... .......... .......... 36%  799M 24s\n"," 76600K .......... .......... .......... .......... .......... 36%  347M 24s\n"," 76650K .......... .......... .......... .......... .......... 36% 23,8M 24s\n"," 76700K .......... .......... .......... .......... .......... 36%  163M 24s\n"," 76750K .......... .......... .......... .......... .......... 36%  181M 24s\n"," 76800K .......... .......... .......... .......... .......... 36%  103M 24s\n"," 76850K .......... .......... .......... .......... .......... 36% 19,7M 24s\n"," 76900K .......... .......... .......... .......... .......... 36%  111K 25s\n"," 76950K .......... .......... .......... .......... .......... 36%  318M 25s\n"," 77000K .......... .......... .......... .......... .......... 36%  456M 24s\n"," 77050K .......... .......... .......... .......... .......... 36%  176M 24s\n"," 77100K .......... .......... .......... .......... .......... 36%  756M 24s\n"," 77150K .......... .......... .......... .......... .......... 36%  740M 24s\n"," 77200K .......... .......... .......... .......... .......... 36%  387M 24s\n"," 77250K .......... .......... .......... .......... .......... 36%  568M 24s\n"," 77300K .......... .......... .......... .......... .......... 36%  386M 24s\n"," 77350K .......... .......... .......... .......... .......... 36%  430M 24s\n"," 77400K .......... .......... .......... .......... .......... 36%  423M 24s\n"," 77450K .......... .......... .......... .......... .......... 36%  683M 24s\n"," 77500K .......... .......... .......... .......... .......... 36%  459M 24s\n"," 77550K .......... .......... .......... .......... .......... 36%  428M 24s\n"," 77600K .......... .......... .......... .......... .......... 36%  402M 24s\n"," 77650K .......... .......... .......... .......... .......... 36%  451M 24s\n"," 77700K .......... .......... .......... .......... .......... 36%  194M 24s\n"," 77750K .......... .......... .......... .......... .......... 36%  612M 24s\n"," 77800K .......... .......... .......... .......... .......... 36%  159M 24s\n"," 77850K .......... .......... .......... .......... .......... 36%  390M 24s\n"," 77900K .......... .......... .......... .......... .......... 36%  525M 24s\n"," 77950K .......... .......... .......... .......... .......... 36%  457M 24s\n"," 78000K .......... .......... .......... .......... .......... 36%  376M 24s\n"," 78050K .......... .......... .......... .......... .......... 36%  401M 24s\n"," 78100K .......... .......... .......... .......... .......... 36%  324M 24s\n"," 78150K .......... .......... .......... .......... .......... 36%  627M 24s\n"," 78200K .......... .......... .......... .......... .......... 36%  387M 24s\n"," 78250K .......... .......... .......... .......... .......... 37%  191M 24s\n"," 78300K .......... .......... .......... .......... .......... 37%  181M 24s\n"," 78350K .......... .......... .......... .......... .......... 37%  167M 24s\n"," 78400K .......... .......... .......... .......... .......... 37%  557M 24s\n"," 78450K .......... .......... .......... .......... .......... 37%  644M 24s\n"," 78500K .......... .......... .......... .......... .......... 37%  427M 24s\n"," 78550K .......... .......... .......... .......... .......... 37%  289M 24s\n"," 78600K .......... .......... .......... .......... .......... 37%  324M 24s\n"," 78650K .......... .......... .......... .......... .......... 37% 19,7M 24s\n"," 78700K .......... .......... .......... .......... .......... 37% 27,1M 24s\n"," 78750K .......... .......... .......... .......... .......... 37% 3,28M 24s\n"," 78800K .......... .......... .......... .......... .......... 37%  194M 24s\n"," 78850K .......... .......... .......... .......... .......... 37%  434M 24s\n"," 78900K .......... .......... .......... .......... .......... 37%  493M 24s\n"," 78950K .......... .......... .......... .......... .......... 37% 1,97M 24s\n"," 79000K .......... .......... .......... .......... .......... 37%  176M 24s\n"," 79050K .......... .......... .......... .......... .......... 37%  252M 24s\n"," 79100K .......... .......... .......... .......... .......... 37%  210M 24s\n"," 79150K .......... .......... .......... .......... .......... 37%  348M 24s\n"," 79200K .......... .......... .......... .......... .......... 37%  353M 23s\n"," 79250K .......... .......... .......... .......... .......... 37%  371M 23s\n"," 79300K .......... .......... .......... .......... .......... 37%  498M 23s\n"," 79350K .......... .......... .......... .......... .......... 37% 3,85M 23s\n"," 79400K .......... .......... .......... .......... .......... 37% 63,8M 23s\n"," 79450K .......... .......... .......... .......... .......... 37%  139M 23s\n"," 79500K .......... .......... .......... .......... .......... 37%  189M 23s\n"," 79550K .......... 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.......... .......... 37% 15,9M 23s\n"," 80200K .......... .......... .......... .......... .......... 37%  218M 23s\n"," 80250K .......... .......... .......... .......... .......... 37%  232M 23s\n"," 80300K .......... .......... .......... .......... .......... 37% 21,8M 23s\n"," 80350K .......... .......... .......... .......... .......... 38% 89,5M 23s\n"," 80400K .......... .......... .......... .......... .......... 38%  131M 23s\n"," 80450K .......... .......... .......... .......... .......... 38%  549M 23s\n"," 80500K .......... .......... .......... .......... .......... 38% 27,0M 23s\n"," 80550K .......... .......... .......... .......... .......... 38%  354M 23s\n"," 80600K .......... .......... .......... .......... .......... 38%  443K 23s\n"," 80650K .......... .......... .......... .......... .......... 38% 52,4M 23s\n"," 80700K .......... .......... .......... .......... .......... 38% 2,11M 23s\n"," 80750K .......... .......... .......... .......... .......... 38% 70,7M 23s\n"," 80800K .......... .......... .......... .......... .......... 38%  918K 23s\n"," 80850K .......... .......... .......... .......... .......... 38% 15,5M 23s\n"," 80900K .......... .......... .......... .......... .......... 38%  262M 23s\n"," 80950K .......... .......... .......... .......... .......... 38%  303M 23s\n"," 81000K .......... .......... .......... .......... .......... 38% 2,69M 23s\n"," 81050K .......... .......... .......... .......... .......... 38%  117M 23s\n"," 81100K .......... .......... .......... .......... .......... 38%  460M 23s\n"," 81150K .......... .......... .......... .......... .......... 38%  265M 23s\n"," 81200K .......... .......... .......... .......... .......... 38% 5,49M 23s\n"," 81250K .......... .......... .......... .......... .......... 38%  239M 23s\n"," 81300K .......... .......... .......... .......... .......... 38%  319M 23s\n"," 81350K .......... .......... .......... .......... .......... 38%  610M 23s\n"," 81400K .......... .......... .......... .......... .......... 38% 5,79M 23s\n"," 81450K .......... .......... .......... .......... .......... 38%  306M 23s\n"," 81500K .......... .......... .......... .......... .......... 38%  650M 23s\n"," 81550K .......... .......... .......... .......... .......... 38% 80,0M 23s\n"," 81600K .......... .......... .......... .......... .......... 38%  288M 23s\n"," 81650K .......... .......... .......... .......... .......... 38%  336M 23s\n"," 81700K .......... .......... .......... .......... .......... 38%  652K 23s\n"," 81750K .......... .......... .......... .......... .......... 38% 1,72M 23s\n"," 81800K .......... .......... .......... .......... .......... 38% 63,5M 23s\n"," 81850K .......... .......... .......... .......... .......... 38% 28,5M 23s\n"," 81900K .......... .......... .......... .......... .......... 38%  897K 23s\n"," 81950K .......... .......... .......... .......... .......... 38% 63,1M 23s\n"," 82000K .......... .......... .......... .......... .......... 38%  337M 23s\n"," 82050K .......... .......... .......... .......... .......... 38%  101M 23s\n"," 82100K .......... .......... .......... .......... .......... 38% 1,51M 23s\n"," 82150K .......... .......... .......... .......... .......... 38%  306M 23s\n"," 82200K .......... .......... .......... .......... .......... 38% 5,59M 23s\n"," 82250K .......... .......... .......... .......... .......... 38%  598M 23s\n"," 82300K .......... .......... .......... .......... .......... 38% 3,10M 23s\n"," 82350K .......... .......... .......... .......... .......... 38%  165M 23s\n"," 82400K .......... .......... .......... .......... .......... 38%  113M 23s\n"," 82450K .......... .......... .......... .......... .......... 38%  293M 23s\n"," 82500K .......... .......... .......... .......... .......... 39%  154M 23s\n"," 82550K .......... .......... .......... .......... .......... 39%  292M 23s\n"," 82600K .......... .......... .......... .......... .......... 39%  239M 23s\n"," 82650K .......... .......... .......... .......... .......... 39%  186M 23s\n"," 82700K .......... .......... .......... .......... .......... 39%  594M 23s\n"," 82750K .......... .......... .......... .......... .......... 39% 1,30M 23s\n"," 82800K .......... .......... .......... .......... .......... 39% 2,18M 23s\n"," 82850K .......... .......... .......... .......... .......... 39% 1,92M 23s\n"," 82900K .......... .......... .......... .......... .......... 39%  138M 23s\n"," 82950K .......... .......... .......... .......... .......... 39%  437M 23s\n"," 83000K .......... .......... .......... .......... .......... 39%  884K 23s\n"," 83050K .......... .......... .......... .......... .......... 39% 21,4M 23s\n"," 83100K .......... .......... .......... .......... .......... 39%  268M 23s\n"," 83150K .......... .......... .......... .......... .......... 39% 23,6M 23s\n"," 83200K .......... .......... .......... .......... .......... 39% 1,12M 23s\n"," 83250K .......... .......... .......... .......... .......... 39%  123M 23s\n"," 83300K .......... .......... .......... .......... .......... 39% 11,4M 23s\n"," 83350K .......... .......... .......... .......... .......... 39%  611M 23s\n"," 83400K .......... .......... .......... .......... .......... 39% 3,45M 23s\n"," 83450K .......... .......... .......... .......... .......... 39%  139M 23s\n"," 83500K .......... .......... .......... .......... .......... 39%  224M 23s\n"," 83550K .......... .......... .......... .......... .......... 39% 6,79M 23s\n"," 83600K .......... .......... .......... .......... .......... 39%  193M 23s\n"," 83650K .......... .......... .......... .......... .......... 39%  247M 23s\n"," 83700K .......... .......... .......... .......... .......... 39%  203M 23s\n"," 83750K .......... .......... .......... .......... .......... 39% 65,0M 23s\n"," 83800K .......... .......... .......... .......... .......... 39%  278M 23s\n"," 83850K .......... 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8,01M 23s\n"," 85100K .......... .......... .......... .......... .......... 40% 1,35M 23s\n"," 85150K .......... .......... .......... .......... .......... 40% 21,4M 23s\n"," 85200K .......... .......... .......... .......... .......... 40%  311M 23s\n"," 85250K .......... .......... .......... .......... .......... 40% 1,88M 23s\n"," 85300K .......... .......... .......... .......... .......... 40% 1,93M 23s\n"," 85350K .......... .......... .......... .......... .......... 40% 8,38M 23s\n"," 85400K .......... .......... .......... .......... .......... 40% 64,5M 23s\n"," 85450K .......... .......... .......... .......... .......... 40%  479K 23s\n"," 85500K .......... .......... .......... .......... .......... 40% 4,64M 23s\n"," 85550K .......... .......... .......... .......... .......... 40%  253M 23s\n"," 85600K .......... .......... .......... .......... .......... 40%  402M 23s\n"," 85650K .......... .......... .......... .......... .......... 40% 9,90M 23s\n"," 85700K .......... .......... .......... .......... .......... 40%  212M 23s\n"," 85750K .......... .......... .......... .......... .......... 40%  180M 23s\n"," 85800K .......... .......... .......... .......... .......... 40%  290M 23s\n"," 85850K .......... .......... .......... .......... .......... 40% 14,8M 23s\n"," 85900K .......... .......... .......... .......... .......... 40%  372M 23s\n"," 85950K .......... .......... .......... .......... .......... 40%  129M 23s\n"," 86000K .......... .......... .......... .......... .......... 40%  306M 23s\n"," 86050K .......... .......... .......... .......... .......... 40%  124M 23s\n"," 86100K .......... .......... .......... .......... .......... 40%  343M 22s\n"," 86150K .......... .......... .......... .......... .......... 40%  658M 22s\n"," 86200K .......... .......... .......... .......... .......... 40% 82,6M 22s\n"," 86250K .......... .......... .......... .......... .......... 40% 11,0M 22s\n"," 86300K .......... .......... .......... .......... .......... 40% 4,41M 22s\n"," 86350K .......... .......... .......... .......... .......... 40%  438M 22s\n"," 86400K .......... .......... .......... .......... .......... 40% 2,04M 22s\n"," 86450K .......... .......... .......... .......... .......... 40% 1,39M 22s\n"," 86500K .......... .......... .......... .......... .......... 40% 43,8M 22s\n"," 86550K .......... .......... .......... .......... .......... 40%  458M 22s\n"," 86600K .......... .......... .......... .......... .......... 40% 37,3M 22s\n"," 86650K .......... .......... .......... .......... .......... 40%  383K 23s\n"," 86700K .......... .......... .......... .......... .......... 41% 35,1M 23s\n"," 86750K .......... .......... .......... .......... .......... 41%  252M 22s\n"," 86800K .......... .......... .......... .......... .......... 41% 2,17M 23s\n"," 86850K .......... .......... .......... .......... .......... 41%  670M 22s\n"," 86900K .......... .......... .......... .......... .......... 41% 5,13M 22s\n"," 86950K .......... .......... .......... .......... .......... 41%  311M 22s\n"," 87000K .......... .......... .......... .......... .......... 41%  319M 22s\n"," 87050K .......... .......... .......... .......... .......... 41% 70,5M 22s\n"," 87100K .......... .......... .......... .......... .......... 41%  316M 22s\n"," 87150K .......... .......... .......... .......... .......... 41% 11,1M 22s\n"," 87200K .......... .......... .......... .......... .......... 41%  109M 22s\n"," 87250K .......... .......... .......... .......... .......... 41%  293M 22s\n"," 87300K .......... .......... .......... .......... .......... 41%  256M 22s\n"," 87350K .......... .......... .......... .......... .......... 41%  480M 22s\n"," 87400K .......... .......... .......... .......... .......... 41%  586M 22s\n"," 87450K .......... .......... .......... .......... .......... 41%  643M 22s\n"," 87500K .......... .......... .......... .......... .......... 41% 19,1M 22s\n"," 87550K .......... .......... .......... .......... .......... 41%  253M 22s\n"," 87600K .......... .......... .......... .......... .......... 41%  538M 22s\n"," 87650K .......... .......... .......... .......... .......... 41% 1,91M 22s\n"," 87700K .......... .......... .......... .......... .......... 41% 79,6M 22s\n"," 87750K .......... .......... .......... .......... .......... 41% 14,5M 22s\n"," 87800K .......... .......... .......... .......... .......... 41%  331K 22s\n"," 87850K .......... .......... .......... .......... .......... 41% 6,90M 22s\n"," 87900K .......... .......... .......... .......... .......... 41% 44,4M 22s\n"," 87950K .......... .......... .......... .......... .......... 41%  750M 22s\n"," 88000K .......... .......... .......... .......... .......... 41% 3,45M 22s\n"," 88050K .......... .......... .......... .......... .......... 41%  304M 22s\n"," 88100K .......... .......... .......... .......... .......... 41%  795M 22s\n"," 88150K .......... .......... .......... .......... .......... 41% 5,79M 22s\n"," 88200K .......... .......... .......... .......... .......... 41%  389M 22s\n"," 88250K .......... .......... .......... .......... .......... 41%  550M 22s\n"," 88300K .......... .......... .......... .......... .......... 41% 34,2M 22s\n"," 88350K .......... .......... .......... .......... .......... 41% 4,66M 22s\n"," 88400K .......... .......... .......... .......... .......... 41%  357M 22s\n"," 88450K .......... .......... .......... .......... .......... 41%  833M 22s\n"," 88500K .......... .......... .......... .......... .......... 41%  678M 22s\n"," 88550K .......... .......... .......... .......... .......... 41% 4,33M 22s\n"," 88600K .......... .......... .......... .......... .......... 41%  361M 22s\n"," 88650K .......... .......... .......... .......... .......... 41%  332M 22s\n"," 88700K .......... .......... .......... .......... .......... 41% 7,75M 22s\n"," 88750K .......... .......... .......... .......... .......... 41%  559M 22s\n"," 88800K .......... .......... .......... .......... .......... 41%  335M 22s\n"," 88850K .......... .......... .......... .......... .......... 42%  133M 22s\n"," 88900K .......... .......... .......... .......... .......... 42% 43,5M 22s\n"," 88950K .......... .......... .......... .......... .......... 42%  189M 22s\n"," 89000K .......... .......... .......... .......... .......... 42%  259M 22s\n"," 89050K .......... .......... .......... .......... .......... 42%  338K 22s\n"," 89100K .......... .......... .......... .......... .......... 42%  565M 22s\n"," 89150K .......... .......... .......... .......... .......... 42%  622M 22s\n"," 89200K .......... .......... .......... .......... .......... 42% 1,16M 22s\n"," 89250K .......... .......... .......... .......... .......... 42% 2,33M 22s\n"," 89300K .......... .......... .......... .......... .......... 42%  274M 22s\n"," 89350K .......... .......... .......... .......... .......... 42%  343M 22s\n"," 89400K .......... .......... .......... .......... .......... 42% 35,5M 22s\n"," 89450K .......... .......... .......... .......... .......... 42%  472M 22s\n"," 89500K .......... .......... .......... .......... .......... 42%  392M 22s\n"," 89550K .......... .......... .......... .......... .......... 42%  734M 22s\n"," 89600K .......... .......... .......... .......... .......... 42% 1,67M 22s\n"," 89650K .......... .......... .......... .......... .......... 42% 22,4M 22s\n"," 89700K .......... .......... .......... .......... .......... 42% 11,8M 22s\n"," 89750K .......... .......... .......... .......... .......... 42%  388M 22s\n"," 89800K .......... .......... .......... .......... .......... 42%  421M 22s\n"," 89850K .......... .......... .......... .......... .......... 42%  236M 22s\n"," 89900K .......... .......... .......... .......... .......... 42% 13,7M 22s\n"," 89950K .......... .......... .......... .......... .......... 42%  222M 22s\n"," 90000K .......... .......... .......... .......... .......... 42%  254M 22s\n"," 90050K .......... .......... .......... .......... .......... 42%  533M 22s\n"," 90100K .......... .......... .......... .......... .......... 42%  292M 22s\n"," 90150K .......... .......... .......... .......... .......... 42%  376M 22s\n"," 90200K .......... .......... .......... .......... .......... 42%  317M 22s\n"," 90250K .......... .......... .......... .......... .......... 42% 15,9M 22s\n"," 90300K .......... .......... .......... .......... .......... 42%  521K 22s\n"," 90350K .......... .......... .......... .......... .......... 42%  176M 22s\n"," 90400K .......... .......... .......... .......... .......... 42%  353M 22s\n"," 90450K .......... .......... .......... .......... .......... 42% 1,21M 22s\n"," 90500K .......... .......... .......... .......... .......... 42% 1,15M 22s\n"," 90550K .......... .......... .......... .......... .......... 42% 10,3M 22s\n"," 90600K .......... .......... .......... .......... .......... 42%  286M 22s\n"," 90650K .......... .......... .......... .......... .......... 42% 17,6M 22s\n"," 90700K .......... .......... .......... .......... .......... 42%  423M 22s\n"," 90750K .......... .......... .......... .......... .......... 42%  523M 22s\n"," 90800K .......... .......... .......... .......... .......... 42% 11,0M 22s\n"," 90850K .......... .......... .......... .......... .......... 42% 42,7M 22s\n"," 90900K .......... .......... .......... .......... .......... 42%  509M 22s\n"," 90950K .......... .......... .......... .......... .......... 43% 5,08M 22s\n"," 91000K .......... .......... .......... .......... .......... 43% 3,06M 22s\n"," 91050K .......... .......... .......... .......... .......... 43%  224M 22s\n"," 91100K .......... .......... .......... .......... .......... 43%  261M 22s\n"," 91150K .......... .......... .......... .......... .......... 43% 3,88M 22s\n"," 91200K .......... .......... .......... .......... .......... 43% 17,4M 22s\n"," 91250K .......... .......... .......... .......... .......... 43%  480M 22s\n"," 91300K .......... .......... .......... .......... .......... 43% 4,15M 22s\n"," 91350K .......... .......... .......... .......... .......... 43%  174M 22s\n"," 91400K .......... .......... .......... .......... .......... 43%  229M 22s\n"," 91450K .......... .......... .......... .......... .......... 43%  360M 22s\n"," 91500K .......... .......... .......... .......... .......... 43%  628M 22s\n"," 91550K .......... .......... .......... .......... .......... 43%  961K 22s\n"," 91600K .......... .......... .......... .......... .......... 43%  255M 22s\n"," 91650K .......... .......... .......... .......... .......... 43%  566M 22s\n"," 91700K .......... .......... .......... .......... .......... 43% 1,45M 22s\n"," 91750K .......... .......... .......... .......... .......... 43%  779K 22s\n"," 91800K .......... .......... .......... .......... .......... 43% 5,00M 22s\n"," 91850K .......... .......... .......... .......... .......... 43%  425M 22s\n"," 91900K .......... .......... .......... .......... .......... 43% 15,4M 22s\n"," 91950K .......... .......... .......... .......... .......... 43%  130M 22s\n"," 92000K .......... .......... .......... .......... .......... 43%  207M 22s\n"," 92050K .......... .......... .......... .......... .......... 43%  229M 22s\n"," 92100K .......... .......... .......... .......... .......... 43% 41,2M 22s\n"," 92150K .......... .......... .......... .......... .......... 43% 75,5M 21s\n"," 92200K .......... .......... .......... .......... .......... 43% 19,4M 21s\n"," 92250K .......... .......... .......... .......... .......... 43% 3,19M 21s\n"," 92300K .......... .......... .......... .......... .......... 43% 31,1M 21s\n"," 92350K .......... .......... .......... .......... .......... 43%  405M 21s\n"," 92400K .......... .......... .......... .......... .......... 43%  126M 21s\n"," 92450K .......... .......... .......... .......... .......... 43% 7,88M 21s\n"," 92500K .......... .......... .......... .......... .......... 43%  416M 21s\n"," 92550K .......... .......... .......... .......... .......... 43% 1,24M 21s\n"," 92600K .......... .......... .......... .......... .......... 43% 20,0M 21s\n"," 92650K .......... .......... .......... .......... .......... 43%  338M 21s\n"," 92700K .......... .......... .......... .......... .......... 43%  549M 21s\n"," 92750K .......... .......... .......... .......... .......... 43% 5,75M 21s\n"," 92800K .......... .......... .......... .......... .......... 43% 25,4M 21s\n"," 92850K .......... .......... .......... .......... .......... 43% 3,48M 21s\n"," 92900K .......... .......... .......... .......... .......... 43%  491M 21s\n"," 92950K .......... .......... .......... .......... .......... 43%  108M 21s\n"," 93000K .......... .......... .......... .......... .......... 43%  456K 21s\n"," 93050K .......... .......... .......... .......... .......... 44% 45,1M 21s\n"," 93100K .......... .......... .......... .......... .......... 44%  117M 21s\n"," 93150K .......... .......... .......... .......... .......... 44% 2,90M 21s\n"," 93200K .......... .......... .......... .......... .......... 44%  290M 21s\n"," 93250K .......... .......... .......... .......... .......... 44% 9,37M 21s\n"," 93300K .......... .......... .......... .......... .......... 44%  410M 21s\n"," 93350K .......... .......... .......... .......... .......... 44%  390M 21s\n"," 93400K .......... .......... .......... .......... .......... 44%  407M 21s\n"," 93450K .......... .......... .......... .......... .......... 44% 80,7M 21s\n"," 93500K .......... .......... .......... .......... .......... 44%  250M 21s\n"," 93550K .......... .......... .......... .......... .......... 44% 12,4M 21s\n"," 93600K .......... .......... .......... .......... .......... 44%  259M 21s\n"," 93650K .......... .......... .......... .......... .......... 44%  250M 21s\n"," 93700K .......... .......... .......... .......... .......... 44%  747M 21s\n"," 93750K .......... .......... .......... .......... .......... 44% 22,7M 21s\n"," 93800K .......... .......... .......... .......... .......... 44% 1,29M 21s\n"," 93850K .......... .......... .......... .......... .......... 44% 1,91M 21s\n"," 93900K .......... .......... .......... .......... .......... 44%  212M 21s\n"," 93950K .......... .......... .......... .......... .......... 44%  121M 21s\n"," 94000K .......... .......... .......... .......... .......... 44%  384M 21s\n"," 94050K .......... .......... .......... .......... .......... 44% 13,7M 21s\n"," 94100K .......... .......... .......... .......... .......... 44%  272M 21s\n"," 94150K .......... .......... .......... .......... .......... 44%  731M 21s\n"," 94200K .......... .......... .......... .......... .......... 44%  186M 21s\n"," 94250K .......... .......... .......... .......... .......... 44% 4,83M 21s\n"," 94300K .......... .......... .......... .......... .......... 44%  395K 21s\n"," 94350K .......... .......... .......... .......... .......... 44% 2,94M 21s\n"," 94400K .......... .......... .......... .......... .......... 44%  298M 21s\n"," 94450K .......... .......... .......... .......... .......... 44%  450M 21s\n"," 94500K .......... .......... .......... .......... .......... 44%  631M 21s\n"," 94550K .......... .......... .......... .......... .......... 44% 24,3M 21s\n"," 94600K .......... .......... .......... .......... .......... 44%  398M 21s\n"," 94650K .......... .......... .......... .......... .......... 44%  604M 21s\n"," 94700K .......... .......... .......... .......... .......... 44% 5,70M 21s\n"," 94750K .......... .......... .......... .......... .......... 44%  167M 21s\n"," 94800K .......... .......... .......... .......... .......... 44%  262M 21s\n"," 94850K .......... .......... .......... .......... .......... 44%  463M 21s\n"," 94900K .......... .......... 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.......... 45%  372M 21s\n"," 95550K .......... .......... .......... .......... .......... 45% 19,7M 21s\n"," 95600K .......... .......... .......... .......... .......... 45%  354K 21s\n"," 95650K .......... .......... .......... .......... .......... 45% 5,70M 21s\n"," 95700K .......... .......... .......... .......... .......... 45% 5,17M 21s\n"," 95750K .......... .......... .......... .......... .......... 45%  403M 21s\n"," 95800K .......... .......... .......... .......... .......... 45%  150M 21s\n"," 95850K .......... .......... .......... .......... .......... 45% 3,05M 21s\n"," 95900K .......... .......... .......... .......... .......... 45%  276M 21s\n"," 95950K .......... .......... .......... .......... .......... 45% 17,1M 21s\n"," 96000K .......... .......... .......... .......... .......... 45%  115M 21s\n"," 96050K .......... .......... .......... .......... .......... 45%  316M 21s\n"," 96100K .......... .......... .......... .......... .......... 45%  546M 21s\n"," 96150K .......... .......... .......... .......... .......... 45%  585M 21s\n"," 96200K .......... .......... .......... .......... .......... 45%  613M 21s\n"," 96250K .......... .......... .......... .......... .......... 45% 4,00M 21s\n"," 96300K .......... .......... .......... .......... .......... 45%  227M 21s\n"," 96350K .......... .......... .......... .......... .......... 45%  418M 21s\n"," 96400K .......... .......... .......... .......... .......... 45% 66,3M 21s\n"," 96450K .......... .......... .......... .......... .......... 45%  417M 21s\n"," 96500K .......... .......... .......... .......... .......... 45% 2,59M 21s\n"," 96550K .......... .......... .......... .......... .......... 45%  255M 21s\n"," 96600K .......... .......... .......... .......... .......... 45%  349M 21s\n"," 96650K .......... .......... .......... .......... .......... 45%  181M 21s\n"," 96700K .......... .......... .......... .......... .......... 45%  364M 21s\n"," 96750K .......... 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7,98M 20s\n"," 98000K .......... .......... .......... .......... .......... 46%  148M 20s\n"," 98050K .......... .......... .......... .......... .......... 46%  378M 20s\n"," 98100K .......... .......... .......... .......... .......... 46%  314M 20s\n"," 98150K .......... .......... .......... .......... .......... 46% 24,2M 20s\n"," 98200K .......... .......... .......... .......... .......... 46%  352M 20s\n"," 98250K .......... .......... .......... .......... .......... 46% 34,5M 20s\n"," 98300K .......... .......... .......... .......... .......... 46%  451K 20s\n"," 98350K .......... .......... .......... .......... .......... 46% 1,53M 20s\n"," 98400K .......... .......... .......... .......... .......... 46%  228M 20s\n"," 98450K .......... .......... .......... .......... .......... 46%  110M 20s\n"," 98500K .......... .......... .......... .......... .......... 46% 1,29M 20s\n"," 98550K .......... .......... .......... .......... .......... 46% 2,61M 20s\n"," 98600K .......... .......... .......... .......... .......... 46%  269M 20s\n"," 98650K .......... .......... .......... .......... .......... 46%  567M 20s\n"," 98700K .......... .......... .......... .......... .......... 46%  840M 20s\n"," 98750K .......... .......... .......... .......... .......... 46% 86,0M 20s\n"," 98800K .......... .......... .......... .......... .......... 46%  243M 20s\n"," 98850K .......... .......... .......... .......... .......... 46% 5,06M 20s\n"," 98900K .......... .......... .......... .......... .......... 46% 12,1M 20s\n"," 98950K .......... .......... .......... .......... .......... 46%  353M 20s\n"," 99000K .......... .......... .......... .......... .......... 46%  390M 20s\n"," 99050K .......... .......... .......... .......... .......... 46%  470M 20s\n"," 99100K .......... .......... .......... .......... .......... 46% 2,72M 20s\n"," 99150K .......... .......... .......... .......... .......... 46%  188M 20s\n"," 99200K .......... .......... .......... .......... .......... 46%  609M 20s\n"," 99250K .......... .......... .......... .......... .......... 46%  734M 20s\n"," 99300K .......... .......... .......... .......... .......... 46% 32,5M 20s\n"," 99350K .......... .......... .......... .......... .......... 46%  373M 20s\n"," 99400K .......... .......... .......... .......... .......... 47%  150M 20s\n"," 99450K .......... .......... .......... .......... .......... 47% 22,1M 20s\n"," 99500K .......... .......... .......... .......... .......... 47%  333M 20s\n"," 99550K .......... .......... .......... .......... .......... 47%  408M 20s\n"," 99600K .......... .......... .......... .......... .......... 47%  130M 20s\n"," 99650K .......... .......... .......... .......... .......... 47%  717K 20s\n"," 99700K .......... .......... .......... .......... .......... 47% 1,36M 20s\n"," 99750K .......... .......... .......... .......... .......... 47%  393M 20s\n"," 99800K .......... .......... .......... .......... .......... 47% 37,2M 20s\n"," 99850K .......... .......... .......... .......... .......... 47% 1,60M 20s\n"," 99900K .......... .......... .......... .......... .......... 47%  689K 20s\n"," 99950K .......... .......... .......... .......... .......... 47%  304M 20s\n","100000K .......... .......... .......... .......... .......... 47%  406M 20s\n","100050K .......... .......... .......... .......... .......... 47%  472M 20s\n","100100K .......... .......... .......... .......... .......... 47% 2,85M 20s\n","100150K .......... .......... .......... .......... .......... 47%  262M 20s\n","100200K .......... .......... .......... .......... .......... 47%  492M 20s\n","100250K .......... .......... .......... .......... .......... 47% 30,9M 20s\n","100300K .......... .......... .......... .......... .......... 47%  397M 20s\n","100350K .......... .......... .......... .......... .......... 47%  238M 20s\n","100400K .......... .......... .......... .......... .......... 47%  527M 20s\n","100450K .......... .......... .......... .......... .......... 47% 7,33M 20s\n","100500K .......... .......... .......... .......... .......... 47%  285M 20s\n","100550K .......... .......... .......... .......... .......... 47%  714M 20s\n","100600K .......... .......... .......... .......... .......... 47%  334M 20s\n","100650K .......... .......... .......... .......... .......... 47% 25,2M 20s\n","100700K .......... .......... .......... .......... .......... 47%  459M 20s\n","100750K .......... .......... .......... .......... .......... 47%  808M 20s\n","100800K .......... .......... .......... .......... .......... 47% 13,2M 20s\n","100850K .......... .......... .......... .......... .......... 47%  158M 20s\n","100900K .......... .......... .......... .......... .......... 47%  240M 20s\n","100950K .......... .......... .......... .......... .......... 47%  441M 20s\n","101000K .......... .......... .......... .......... .......... 47% 2,16M 20s\n","101050K .......... .......... .......... .......... .......... 47% 1,09M 20s\n","101100K .......... .......... .......... .......... .......... 47%  253M 20s\n","101150K .......... .......... .......... .......... .......... 47%  409M 20s\n","101200K .......... .......... .......... .......... .......... 47%  486M 20s\n","101250K .......... .......... .......... .......... .......... 47%  379K 20s\n","101300K .......... .......... .......... .......... .......... 47%  222M 20s\n","101350K .......... .......... .......... .......... .......... 47%  302M 20s\n","101400K .......... .......... .......... .......... .......... 47%  583M 20s\n","101450K .......... .......... .......... .......... .......... 47% 5,88M 20s\n","101500K .......... .......... .......... .......... .......... 47%  307M 20s\n","101550K .......... .......... .......... .......... .......... 48%  175M 20s\n","101600K .......... .......... .......... .......... .......... 48% 4,01M 20s\n","101650K .......... .......... .......... .......... .......... 48%  169M 20s\n","101700K .......... .......... .......... .......... .......... 48%  464M 20s\n","101750K .......... .......... .......... .......... .......... 48%  527M 20s\n","101800K .......... .......... .......... .......... .......... 48% 4,51M 20s\n","101850K .......... .......... .......... .......... .......... 48%  301M 20s\n","101900K .......... .......... .......... .......... .......... 48%  601M 20s\n","101950K .......... .......... .......... .......... .......... 48% 33,2M 20s\n","102000K .......... .......... .......... .......... .......... 48%  307M 20s\n","102050K .......... .......... .......... .......... .......... 48%  344M 20s\n","102100K .......... .......... .......... .......... .......... 48%  446M 20s\n","102150K .......... .......... .......... .......... .......... 48% 15,9M 20s\n","102200K .......... .......... .......... .......... .......... 48%  338M 20s\n","102250K .......... .......... .......... .......... .......... 48%  414M 20s\n","102300K .......... .......... .......... .......... .......... 48% 24,5M 20s\n","102350K .......... .......... .......... .......... .......... 48%  653M 20s\n","102400K .......... .......... .......... .......... .......... 48%  315M 19s\n","102450K .......... .......... .......... .......... .......... 48% 1,72M 19s\n","102500K .......... .......... .......... .......... .......... 48%  412M 19s\n","102550K .......... .......... .......... .......... .......... 48%  372M 19s\n","102600K .......... .......... .......... .......... .......... 48%  314K 20s\n","102650K .......... .......... .......... .......... .......... 48% 3,68M 20s\n","102700K .......... .......... .......... .......... .......... 48% 14,4M 20s\n","102750K .......... .......... .......... .......... .......... 48%  366M 20s\n","102800K .......... .......... .......... .......... .......... 48%  570M 20s\n","102850K .......... .......... .......... .......... .......... 48% 92,2M 20s\n","102900K .......... .......... .......... .......... .......... 48%  344M 20s\n","102950K .......... .......... .......... .......... .......... 48% 4,49M 20s\n","103000K .......... .......... .......... .......... .......... 48% 4,76M 20s\n","103050K .......... .......... .......... .......... .......... 48%  438M 19s\n","103100K .......... .......... .......... .......... .......... 48%  478M 19s\n","103150K .......... .......... .......... .......... .......... 48% 1,94M 19s\n","103200K .......... .......... .......... .......... .......... 48%  365M 19s\n","103250K .......... .......... .......... .......... .......... 48%  426M 19s\n","103300K .......... .......... .......... .......... .......... 48%  690M 19s\n","103350K .......... .......... .......... .......... .......... 48%  527M 19s\n","103400K .......... .......... .......... .......... .......... 48% 6,72M 19s\n","103450K .......... .......... .......... .......... .......... 48%  378M 19s\n","103500K .......... .......... .......... .......... .......... 48%  445M 19s\n","103550K .......... .......... .......... .......... .......... 48%  620M 19s\n","103600K .......... .......... .......... .......... .......... 48%  608M 19s\n","103650K .......... .......... .......... .......... .......... 49%  132M 19s\n","103700K .......... .......... .......... .......... .......... 49%  585M 19s\n","103750K .......... .......... .......... .......... .......... 49% 34,3M 19s\n","103800K .......... .......... .......... .......... .......... 49%  270M 19s\n","103850K .......... .......... .......... .......... .......... 49%  339M 19s\n","103900K .......... .......... .......... .......... .......... 49% 76,7M 19s\n","103950K .......... .......... .......... .......... .......... 49%  726M 19s\n","104000K .......... .......... .......... .......... .......... 49%  416K 19s\n","104050K .......... .......... .......... .......... .......... 49% 1,78M 19s\n","104100K .......... .......... .......... .......... .......... 49% 22,9M 19s\n","104150K .......... .......... .......... .......... .......... 49%  286M 19s\n","104200K .......... .......... .......... .......... .......... 49%  666M 19s\n","104250K .......... .......... .......... .......... .......... 49% 1,94M 19s\n","104300K .......... .......... .......... .......... .......... 49%  317M 19s\n","104350K .......... .......... .......... .......... .......... 49% 1,29M 19s\n","104400K .......... .......... .......... .......... .......... 49%  177M 19s\n","104450K .......... .......... .......... .......... .......... 49% 5,07M 19s\n","104500K .......... .......... .......... .......... .......... 49%  398M 19s\n","104550K .......... .......... .......... .......... .......... 49% 54,0M 19s\n","104600K .......... .......... .......... .......... .......... 49%  445M 19s\n","104650K .......... .......... .......... .......... .......... 49% 1,90M 19s\n","104700K .......... .......... .......... .......... .......... 49%  170M 19s\n","104750K .......... .......... .......... .......... .......... 49%  203K 19s\n","104800K .......... .......... .......... .......... .......... 49% 99,0M 19s\n","104850K .......... .......... .......... .......... .......... 49%  503M 19s\n","104900K .......... .......... .......... .......... .......... 49%  719M 19s\n","104950K .......... .......... .......... .......... .......... 49%  476M 19s\n","105000K .......... .......... .......... .......... .......... 49%  480M 19s\n","105050K .......... .......... .......... .......... .......... 49%  571M 19s\n","105100K .......... .......... .......... .......... .......... 49%  878M 19s\n","105150K .......... .......... .......... .......... .......... 49%  649M 19s\n","105200K .......... .......... .......... .......... .......... 49%  529M 19s\n","105250K .......... .......... .......... .......... .......... 49%  563M 19s\n","105300K .......... .......... .......... .......... .......... 49%  578M 19s\n","105350K .......... .......... .......... .......... .......... 49%  292M 19s\n","105400K .......... .......... .......... .......... .......... 49%  550M 19s\n","105450K .......... .......... .......... .......... .......... 49%  382M 19s\n","105500K .......... .......... .......... .......... .......... 49%  517M 19s\n","105550K .......... .......... .......... .......... .......... 49%  730M 19s\n","105600K .......... .......... .......... .......... .......... 49%  538M 19s\n","105650K .......... .......... .......... .......... .......... 49%  581M 19s\n","105700K .......... .......... .......... .......... .......... 49%  469M 19s\n","105750K .......... .......... .......... .......... .......... 50%  211M 19s\n","105800K .......... .......... .......... .......... .......... 50%  425M 19s\n","105850K .......... .......... .......... .......... .......... 50%  509M 19s\n","105900K .......... .......... .......... .......... .......... 50%  581M 19s\n","105950K .......... .......... .......... .......... .......... 50%  471M 19s\n","106000K .......... .......... .......... .......... .......... 50%  529M 19s\n","106050K .......... .......... .......... .......... .......... 50%  306M 19s\n","106100K .......... .......... .......... .......... .......... 50%  743M 19s\n","106150K .......... .......... .......... .......... .......... 50%  743M 19s\n","106200K .......... .......... .......... .......... .......... 50%  449M 19s\n","106250K .......... .......... .......... .......... .......... 50%  741M 19s\n","106300K .......... .......... .......... .......... .......... 50%  570M 19s\n","106350K .......... .......... .......... .......... .......... 50%  597M 19s\n","106400K .......... .......... .......... .......... .......... 50%  540M 19s\n","106450K .......... .......... .......... .......... .......... 50%  455M 19s\n","106500K .......... .......... .......... .......... .......... 50%  488M 19s\n","106550K .......... .......... .......... .......... .......... 50%  568M 19s\n","106600K .......... .......... .......... .......... .......... 50%  369M 19s\n","106650K .......... .......... .......... .......... .......... 50%  556M 19s\n","106700K .......... .......... .......... .......... .......... 50% 3,28M 19s\n","106750K .......... .......... .......... .......... .......... 50% 1,28M 19s\n","106800K .......... .......... .......... .......... .......... 50% 39,8M 19s\n","106850K .......... .......... .......... .......... .......... 50% 28,1M 19s\n","106900K .......... .......... .......... .......... .......... 50% 3,94M 19s\n","106950K .......... .......... .......... .......... .......... 50%  570K 19s\n","107000K .......... .......... .......... .......... .......... 50% 4,97M 19s\n","107050K .......... .......... .......... .......... .......... 50%  357M 19s\n","107100K .......... .......... .......... .......... .......... 50% 2,50M 19s\n","107150K .......... .......... .......... .......... .......... 50%  127M 19s\n","107200K .......... .......... .......... .......... .......... 50% 8,27M 19s\n","107250K .......... .......... .......... .......... .......... 50% 2,37M 19s\n","107300K .......... .......... .......... .......... .......... 50%  210M 19s\n","107350K .......... .......... .......... .......... .......... 50%  522M 19s\n","107400K .......... .......... .......... .......... .......... 50% 35,0M 19s\n","107450K .......... .......... .......... .......... .......... 50%  257M 19s\n","107500K .......... .......... .......... .......... .......... 50%  213M 19s\n","107550K .......... .......... .......... .......... .......... 50%  863M 19s\n","107600K .......... .......... .......... .......... .......... 50% 91,2M 19s\n","107650K .......... .......... .......... .......... .......... 50% 38,4M 19s\n","107700K .......... .......... .......... .......... .......... 50% 27,0M 19s\n","107750K .......... .......... .......... .......... .......... 50% 1,34M 19s\n","107800K .......... .......... .......... .......... .......... 50%  225M 19s\n","107850K .......... .......... .......... .......... .......... 50% 4,78M 19s\n","107900K .......... .......... .......... .......... .......... 51%  134M 19s\n","107950K .......... .......... .......... .......... .......... 51%  486K 19s\n","108000K .......... .......... .......... .......... .......... 51%  239M 19s\n","108050K .......... .......... .......... .......... .......... 51%  568M 19s\n","108100K .......... .......... .......... .......... .......... 51% 3,75M 19s\n","108150K .......... .......... .......... .......... .......... 51% 50,5M 19s\n","108200K .......... .......... .......... .......... .......... 51% 1,64M 19s\n","108250K .......... .......... .......... .......... .......... 51% 4,99M 19s\n","108300K .......... .......... .......... .......... .......... 51% 24,7M 19s\n","108350K .......... .......... .......... .......... .......... 51%  462M 19s\n","108400K .......... .......... .......... .......... .......... 51%  356M 19s\n","108450K .......... .......... .......... .......... .......... 51% 4,88M 19s\n","108500K .......... .......... .......... .......... .......... 51%  288M 19s\n","108550K .......... .......... .......... .......... .......... 51%  413M 18s\n","108600K .......... .......... .......... .......... .......... 51%  429M 18s\n","108650K .......... .......... .......... .......... .......... 51%  201M 18s\n","108700K .......... .......... .......... .......... .......... 51%  491M 18s\n","108750K .......... .......... .......... .......... .......... 51% 1,69M 18s\n","108800K .......... .......... .......... .......... .......... 51% 23,7M 18s\n","108850K .......... .......... .......... .......... .......... 51%  259M 18s\n","108900K .......... .......... .......... .......... .......... 51%  288M 18s\n","108950K .......... .......... .......... .......... .......... 51%  474K 18s\n","109000K .......... .......... .......... .......... .......... 51% 13,9M 18s\n","109050K .......... .......... .......... .......... .......... 51%  253M 18s\n","109100K .......... .......... .......... .......... .......... 51% 11,7M 18s\n","109150K .......... .......... .......... .......... .......... 51%  283M 18s\n","109200K .......... .......... .......... .......... .......... 51% 11,6M 18s\n","109250K .......... .......... .......... .......... .......... 51%  907K 18s\n","109300K .......... .......... .......... .......... .......... 51% 21,4M 18s\n","109350K .......... .......... .......... .......... .......... 51%  361M 18s\n","109400K .......... .......... .......... .......... .......... 51%  542M 18s\n","109450K .......... .......... .......... .......... .......... 51% 4,30M 18s\n","109500K .......... .......... .......... .......... .......... 51%  286M 18s\n","109550K .......... .......... .......... .......... .......... 51%  259M 18s\n","109600K .......... .......... .......... .......... .......... 51%  439M 18s\n","109650K .......... .......... .......... .......... .......... 51% 43,3M 18s\n","109700K .......... .......... .......... .......... .......... 51%  301M 18s\n","109750K .......... .......... .......... .......... .......... 51%  558M 18s\n","109800K .......... .......... .......... .......... .......... 51% 3,19M 18s\n","109850K .......... .......... .......... .......... .......... 51%  222M 18s\n","109900K .......... .......... .......... .......... .......... 51%  490M 18s\n","109950K .......... .......... .......... .......... .......... 51%  706K 18s\n","110000K .......... .......... .......... .......... .......... 52% 1,56M 18s\n","110050K .......... .......... .......... .......... .......... 52% 9,41M 18s\n","110100K .......... .......... .......... .......... .......... 52% 7,83M 18s\n","110150K .......... .......... .......... .......... .......... 52%  706M 18s\n","110200K .......... .......... .......... .......... .......... 52%  434M 18s\n","110250K .......... .......... .......... .......... .......... 52% 2,56M 18s\n","110300K .......... .......... .......... .......... .......... 52%  709K 18s\n","110350K .......... .......... .......... .......... .......... 52% 9,37M 18s\n","110400K .......... .......... .......... .......... .......... 52%  159M 18s\n","110450K .......... .......... .......... .......... .......... 52%  526M 18s\n","110500K .......... .......... .......... .......... .......... 52%  802M 18s\n","110550K .......... .......... .......... .......... .......... 52%  410M 18s\n","110600K .......... .......... .......... .......... .......... 52% 17,8M 18s\n","110650K .......... .......... .......... .......... .......... 52%  217M 18s\n","110700K .......... .......... .......... .......... .......... 52%  543M 18s\n","110750K .......... .......... .......... .......... .......... 52%  495M 18s\n","110800K .......... .......... .......... .......... .......... 52% 24,9M 18s\n","110850K .......... .......... .......... .......... .......... 52%  438M 18s\n","110900K .......... .......... .......... .......... .......... 52%  583M 18s\n","110950K .......... .......... .......... .......... .......... 52%  588M 18s\n","111000K .......... .......... .......... .......... .......... 52%  533K 18s\n","111050K .......... .......... .......... .......... .......... 52% 4,86M 18s\n","111100K .......... .......... .......... .......... .......... 52% 27,4M 18s\n","111150K .......... .......... .......... .......... .......... 52%  322M 18s\n","111200K .......... .......... .......... .......... .......... 52%  547M 18s\n","111250K .......... .......... .......... .......... .......... 52% 12,7M 18s\n","111300K .......... .......... .......... .......... .......... 52% 18,2M 18s\n","111350K .......... .......... .......... .......... .......... 52%  467K 18s\n","111400K .......... .......... .......... .......... .......... 52%  271M 18s\n","111450K .......... .......... .......... .......... .......... 52%  470M 18s\n","111500K .......... .......... .......... .......... .......... 52%  829M 18s\n","111550K .......... .......... .......... .......... .......... 52% 27,2M 18s\n","111600K .......... .......... .......... .......... .......... 52%  159M 18s\n","111650K .......... .......... .......... .......... .......... 52%  477M 18s\n","111700K .......... .......... .......... .......... .......... 52% 27,1M 18s\n","111750K .......... .......... .......... .......... .......... 52%  791M 18s\n","111800K .......... .......... .......... .......... .......... 52%  402M 18s\n","111850K .......... .......... .......... .......... .......... 52%  459M 18s\n","111900K .......... .......... .......... .......... .......... 52% 30,2M 18s\n","111950K .......... .......... .......... .......... .......... 52%  120M 18s\n","112000K .......... .......... .......... .......... .......... 52%  369M 18s\n","112050K .......... .......... .......... .......... .......... 52%  778K 18s\n","112100K .......... .......... .......... .......... .......... 53% 5,46M 18s\n","112150K .......... .......... .......... .......... .......... 53% 3,94M 18s\n","112200K .......... .......... .......... .......... .......... 53% 31,5M 18s\n","112250K .......... .......... .......... .......... .......... 53%  390M 18s\n","112300K .......... .......... .......... .......... .......... 53%  554M 18s\n","112350K .......... .......... .......... .......... .......... 53%  842K 18s\n","112400K .......... .......... .......... .......... .......... 53%  842K 18s\n","112450K .......... .......... .......... .......... .......... 53% 23,5M 18s\n","112500K .......... .......... .......... .......... .......... 53%  226M 18s\n","112550K .......... .......... .......... .......... .......... 53%  423M 18s\n","112600K .......... .......... .......... .......... .......... 53%  113M 18s\n","112650K .......... .......... .......... .......... .......... 53% 44,7M 18s\n","112700K .......... .......... .......... .......... .......... 53% 3,23M 18s\n","112750K .......... .......... .......... .......... .......... 53%  337M 18s\n","112800K .......... .......... .......... .......... .......... 53%  235M 18s\n","112850K .......... .......... .......... .......... .......... 53%  355M 18s\n","112900K .......... .......... .......... .......... .......... 53% 32,1M 18s\n","112950K .......... .......... .......... .......... .......... 53%  354M 18s\n","113000K .......... .......... .......... .......... .......... 53%  415M 18s\n","113050K .......... .......... .......... .......... .......... 53% 40,1M 18s\n","113100K .......... .......... .......... .......... .......... 53%  625M 18s\n","113150K .......... .......... .......... .......... .......... 53% 1,23M 18s\n","113200K .......... .......... .......... .......... .......... 53% 1,65M 18s\n","113250K .......... .......... .......... .......... .......... 53%  230M 18s\n","113300K .......... .......... .......... .......... .......... 53%  311M 18s\n","113350K .......... .......... .......... .......... .......... 53%  306M 18s\n","113400K .......... .......... .......... .......... .......... 53%  165M 18s\n","113450K .......... .......... .......... .......... .......... 53%  561K 18s\n","113500K .......... .......... .......... .......... .......... 53% 1,37M 18s\n","113550K .......... .......... .......... .......... .......... 53%  428M 18s\n","113600K .......... .......... .......... .......... .......... 53%  287M 18s\n","113650K .......... .......... .......... .......... .......... 53%  326M 18s\n","113700K .......... .......... .......... .......... .......... 53% 2,84M 18s\n","113750K .......... .......... .......... .......... .......... 53%  374M 18s\n","113800K .......... .......... .......... .......... .......... 53%  672M 18s\n","113850K .......... .......... .......... .......... .......... 53% 28,0M 18s\n","113900K .......... .......... .......... .......... .......... 53%  241M 18s\n","113950K .......... .......... .......... .......... .......... 53%  382M 18s\n","114000K .......... .......... .......... .......... .......... 53%  550M 18s\n","114050K .......... .......... .......... .......... .......... 53% 30,9M 18s\n","114100K .......... .......... .......... .......... .......... 53%  300M 18s\n","114150K .......... .......... .......... .......... .......... 53%  298M 18s\n","114200K .......... .......... .......... .......... .......... 54% 5,67M 18s\n","114250K .......... .......... .......... .......... .......... 54% 5,49M 18s\n","114300K .......... .......... .......... .......... .......... 54% 1,19M 18s\n","114350K .......... .......... .......... .......... .......... 54%  264M 18s\n","114400K .......... .......... .......... .......... .......... 54%  390M 18s\n","114450K .......... .......... .......... .......... .......... 54%  623M 18s\n","114500K .......... .......... .......... .......... .......... 54% 61,1M 18s\n","114550K .......... .......... .......... .......... .......... 54%  638K 18s\n","114600K .......... .......... .......... .......... .......... 54%  752K 18s\n","114650K .......... .......... .......... .......... .......... 54% 4,99M 18s\n","114700K .......... .......... .......... .......... .......... 54%  427M 18s\n","114750K .......... .......... .......... .......... .......... 54%  299M 18s\n","114800K .......... .......... .......... .......... .......... 54%  531M 18s\n","114850K .......... .......... .......... .......... .......... 54% 6,43M 18s\n","114900K .......... .......... .......... .......... .......... 54%  314M 18s\n","114950K .......... .......... .......... .......... .......... 54%  101M 18s\n","115000K .......... .......... .......... .......... .......... 54%  673M 17s\n","115050K .......... .......... .......... .......... .......... 54% 5,99M 17s\n","115100K .......... .......... .......... .......... .......... 54%  290M 17s\n","115150K .......... .......... .......... .......... .......... 54%  461M 17s\n","115200K .......... .......... .......... .......... .......... 54%  409M 17s\n","115250K .......... .......... .......... .......... .......... 54% 59,1M 17s\n","115300K .......... .......... .......... .......... .......... 54%  426M 17s\n","115350K .......... .......... .......... .......... .......... 54%  550M 17s\n","115400K .......... .......... .......... .......... .......... 54% 1,64M 17s\n","115450K .......... .......... .......... .......... .......... 54%  253M 17s\n","115500K .......... .......... .......... .......... .......... 54%  576M 17s\n","115550K .......... .......... .......... .......... .......... 54% 12,3M 17s\n","115600K .......... .......... .......... .......... .......... 54% 1,42M 17s\n","115650K .......... .......... .......... .......... .......... 54%  670K 17s\n","115700K .......... .......... .......... .......... .......... 54%  714K 17s\n","115750K .......... .......... .......... .......... .......... 54%  428M 17s\n","115800K .......... .......... .......... .......... .......... 54%  400M 17s\n","115850K .......... .......... .......... .......... .......... 54%  739M 17s\n","115900K .......... .......... .......... .......... .......... 54% 16,4M 17s\n","115950K .......... .......... .......... .......... .......... 54%  162M 17s\n","116000K .......... .......... .......... .......... .......... 54%  360M 17s\n","116050K .......... .......... .......... .......... .......... 54%  549M 17s\n","116100K .......... .......... .......... .......... .......... 54% 7,17M 17s\n","116150K .......... .......... .......... .......... .......... 54%  189M 17s\n","116200K .......... .......... .......... .......... .......... 54%  209M 17s\n","116250K .......... .......... .......... .......... .......... 54% 47,3M 17s\n","116300K .......... .......... .......... .......... .......... 54%  431M 17s\n","116350K .......... .......... .......... .......... .......... 55%  206M 17s\n","116400K .......... .......... .......... .......... .......... 55%  381M 17s\n","116450K .......... .......... .......... .......... .......... 55% 38,2M 17s\n","116500K .......... .......... .......... .......... .......... 55% 3,65M 17s\n","116550K .......... .......... .......... .......... .......... 55%  279M 17s\n","116600K .......... .......... .......... .......... .......... 55%  349M 17s\n","116650K .......... .......... .......... .......... .......... 55%  259M 17s\n","116700K .......... .......... .......... .......... .......... 55% 2,14M 17s\n","116750K .......... .......... .......... .......... .......... 55%  677K 17s\n","116800K .......... .......... .......... .......... .......... 55%  556K 17s\n","116850K .......... .......... .......... .......... .......... 55% 4,00M 17s\n","116900K .......... .......... .......... .......... .......... 55%  268M 17s\n","116950K .......... .......... .......... .......... .......... 55%  382M 17s\n","117000K .......... .......... .......... .......... .......... 55%  412M 17s\n","117050K .......... .......... .......... .......... .......... 55%  512M 17s\n","117100K .......... .......... .......... .......... .......... 55%  555M 17s\n","117150K .......... .......... .......... .......... .......... 55% 49,6M 17s\n","117200K .......... .......... .......... .......... .......... 55% 2,33M 17s\n","117250K .......... .......... .......... .......... .......... 55%  204M 17s\n","117300K .......... .......... .......... .......... .......... 55%  552M 17s\n","117350K .......... .......... .......... .......... .......... 55%  717M 17s\n","117400K .......... .......... .......... .......... .......... 55% 27,8M 17s\n","117450K .......... .......... .......... .......... .......... 55%  374M 17s\n","117500K .......... .......... .......... .......... .......... 55%  345M 17s\n","117550K .......... .......... .......... .......... .......... 55% 14,5M 17s\n","117600K .......... .......... .......... .......... .......... 55%  232M 17s\n","117650K .......... .......... .......... .......... .......... 55%  222M 17s\n","117700K .......... .......... .......... .......... .......... 55%  538M 17s\n","117750K .......... .......... .......... .......... .......... 55%  294M 17s\n","117800K .......... .......... .......... .......... .......... 55% 19,9M 17s\n","117850K .......... .......... .......... .......... .......... 55% 1,90M 17s\n","117900K .......... .......... .......... .......... .......... 55%  288K 17s\n","117950K .......... .......... .......... .......... .......... 55%  154M 17s\n","118000K .......... .......... .......... .......... .......... 55%  120M 17s\n","118050K .......... .......... .......... .......... .......... 55%  184M 17s\n","118100K .......... .......... .......... .......... .......... 55% 6,54M 17s\n","118150K .......... .......... .......... .......... .......... 55%  421M 17s\n","118200K .......... .......... .......... .......... .......... 55%  390M 17s\n","118250K .......... .......... .......... .......... .......... 55% 32,3M 17s\n","118300K .......... .......... .......... .......... .......... 55%  283M 17s\n","118350K .......... .......... .......... .......... .......... 55% 35,7M 17s\n","118400K .......... .......... .......... .......... .......... 55%  282M 17s\n","118450K .......... .......... .......... .......... .......... 56%  132M 17s\n","118500K .......... .......... .......... .......... .......... 56%  387M 17s\n","118550K .......... .......... .......... .......... .......... 56% 3,42M 17s\n","118600K .......... .......... .......... .......... .......... 56%  408M 17s\n","118650K .......... .......... .......... .......... .......... 56%  535M 17s\n","118700K .......... .......... .......... .......... .......... 56% 25,1M 17s\n","118750K .......... .......... .......... .......... .......... 56%  192M 17s\n","118800K .......... .......... .......... .......... .......... 56%  334M 17s\n","118850K .......... .......... .......... .......... .......... 56%  811M 17s\n","118900K .......... .......... .......... .......... .......... 56% 15,1M 17s\n","118950K .......... .......... .......... .......... .......... 56%  293M 17s\n","119000K .......... .......... .......... .......... .......... 56% 1,12M 17s\n","119050K .......... .......... .......... .......... .......... 56%  349K 17s\n","119100K .......... .......... .......... .......... .......... 56%  374M 17s\n","119150K .......... .......... .......... .......... .......... 56%  501M 17s\n","119200K .......... .......... .......... .......... .......... 56% 22,9M 17s\n","119250K .......... .......... .......... .......... .......... 56%  319M 17s\n","119300K .......... .......... .......... .......... .......... 56%  420M 17s\n","119350K .......... .......... .......... .......... .......... 56%  502M 17s\n","119400K .......... .......... .......... .......... .......... 56% 3,22M 17s\n","119450K .......... .......... .......... .......... .......... 56%  231M 17s\n","119500K .......... .......... .......... .......... .......... 56%  416M 17s\n","119550K .......... .......... .......... .......... .......... 56%  228M 17s\n","119600K .......... .......... .......... .......... .......... 56% 6,44M 17s\n","119650K .......... .......... .......... .......... .......... 56% 25,4M 17s\n","119700K .......... .......... .......... .......... .......... 56%  169M 17s\n","119750K .......... .......... .......... .......... .......... 56%  608M 17s\n","119800K .......... .......... .......... .......... .......... 56% 4,47M 17s\n","119850K .......... .......... .......... .......... .......... 56%  286M 17s\n","119900K .......... .......... .......... .......... .......... 56%  559M 17s\n","119950K .......... .......... .......... .......... .......... 56% 28,4M 17s\n","120000K .......... .......... .......... .......... .......... 56%  273M 17s\n","120050K .......... .......... .......... .......... .......... 56%  302M 17s\n","120100K .......... .......... .......... .......... .......... 56%  575M 17s\n","120150K .......... .......... .......... .......... .......... 56%  284K 17s\n","120200K .......... .......... .......... .......... .......... 56% 5,38M 17s\n","120250K .......... .......... .......... .......... .......... 56%  303M 17s\n","120300K .......... .......... .......... .......... .......... 56%  268M 17s\n","120350K .......... .......... .......... .......... .......... 56% 22,8M 17s\n","120400K .......... .......... .......... .......... .......... 56%  246M 17s\n","120450K .......... .......... .......... .......... .......... 56%  413M 17s\n","120500K .......... .......... .......... .......... .......... 56%  214M 17s\n","120550K .......... .......... .......... .......... .......... 57% 1,85M 17s\n","120600K .......... .......... .......... .......... .......... 57%  118M 17s\n","120650K .......... .......... .......... .......... .......... 57%  770M 17s\n","120700K .......... .......... 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.......... 57%  334K 16s\n","121350K .......... .......... .......... .......... .......... 57% 1,61M 16s\n","121400K .......... .......... .......... .......... .......... 57% 21,2M 16s\n","121450K .......... .......... .......... .......... .......... 57% 38,8M 16s\n","121500K .......... .......... .......... .......... .......... 57% 1,57M 16s\n","121550K .......... .......... .......... .......... .......... 57%  452M 16s\n","121600K .......... .......... .......... .......... .......... 57% 19,0M 16s\n","121650K .......... .......... .......... .......... .......... 57%  384M 16s\n","121700K .......... .......... .......... .......... .......... 57%  371M 16s\n","121750K .......... .......... .......... .......... .......... 57%  510M 16s\n","121800K .......... .......... .......... .......... .......... 57%  142M 16s\n","121850K .......... .......... .......... .......... .......... 57%  168M 16s\n","121900K .......... .......... .......... .......... .......... 57% 14,9M 16s\n","121950K .......... .......... .......... .......... .......... 57%  471M 16s\n","122000K .......... .......... .......... .......... .......... 57% 23,4M 16s\n","122050K .......... .......... .......... .......... .......... 57%  688M 16s\n","122100K .......... .......... .......... .......... .......... 57%  288M 16s\n","122150K .......... .......... .......... .......... .......... 57%  561M 16s\n","122200K .......... .......... .......... .......... .......... 57% 7,86M 16s\n","122250K .......... .......... .......... .......... .......... 57%  174M 16s\n","122300K .......... .......... .......... .......... .......... 57%  327M 16s\n","122350K .......... .......... .......... .......... .......... 57%  401M 16s\n","122400K .......... .......... .......... .......... .......... 57%  524M 16s\n","122450K .......... .......... .......... .......... .......... 57%  286K 16s\n","122500K .......... .......... .......... .......... .......... 57%  152M 16s\n","122550K .......... 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72,4M 16s\n","123800K .......... .......... .......... .......... .......... 58% 1,01M 16s\n","123850K .......... .......... .......... .......... .......... 58%  390M 16s\n","123900K .......... .......... .......... .......... .......... 58%  376M 16s\n","123950K .......... .......... .......... .......... .......... 58%  529M 16s\n","124000K .......... .......... .......... .......... .......... 58% 5,78M 16s\n","124050K .......... .......... .......... .......... .......... 58% 23,3M 16s\n","124100K .......... .......... .......... .......... .......... 58%  358M 16s\n","124150K .......... .......... .......... .......... .......... 58%  409M 16s\n","124200K .......... .......... .......... .......... .......... 58% 2,45M 16s\n","124250K .......... .......... .......... .......... .......... 58%  157M 16s\n","124300K .......... .......... .......... .......... .......... 58%  351M 16s\n","124350K .......... .......... .......... .......... .......... 58%  306M 16s\n","124400K .......... .......... .......... .......... .......... 58% 24,5M 16s\n","124450K .......... .......... .......... .......... .......... 58%  351M 16s\n","124500K .......... .......... .......... .......... .......... 58%  451M 16s\n","124550K .......... .......... .......... .......... .......... 58%  818M 16s\n","124600K .......... .......... .......... .......... .......... 58% 10,2M 16s\n","124650K .......... .......... .......... .......... .......... 58%  354M 16s\n","124700K .......... .......... .......... .......... .......... 58%  687M 16s\n","124750K .......... .......... .......... .......... .......... 58% 1,22M 16s\n","124800K .......... .......... .......... .......... .......... 59%  872K 16s\n","124850K .......... .......... .......... .......... .......... 59% 3,19M 16s\n","124900K .......... .......... .......... .......... .......... 59%  279M 16s\n","124950K .......... .......... .......... .......... .......... 59%  613K 16s\n","125000K .......... .......... .......... .......... .......... 59% 13,6M 16s\n","125050K .......... .......... .......... .......... .......... 59% 1,66M 16s\n","125100K .......... .......... .......... .......... .......... 59%  146M 16s\n","125150K .......... .......... .......... .......... .......... 59%  232M 16s\n","125200K .......... .......... .......... .......... .......... 59%  550M 16s\n","125250K .......... .......... .......... .......... .......... 59% 9,66M 16s\n","125300K .......... .......... .......... .......... .......... 59%  205M 16s\n","125350K .......... .......... .......... .......... .......... 59%  147M 16s\n","125400K .......... .......... .......... .......... .......... 59%  232M 16s\n","125450K .......... .......... .......... .......... .......... 59% 27,8M 16s\n","125500K .......... .......... .......... .......... .......... 59%  451M 16s\n","125550K .......... .......... .......... .......... .......... 59%  424M 16s\n","125600K .......... .......... .......... .......... .......... 59% 27,5M 16s\n","125650K .......... .......... .......... .......... .......... 59%  321M 16s\n","125700K .......... .......... .......... .......... .......... 59%  470M 16s\n","125750K .......... .......... .......... .......... .......... 59%  555M 16s\n","125800K .......... .......... .......... .......... .......... 59% 25,3M 16s\n","125850K .......... .......... .......... .......... .......... 59%  355M 16s\n","125900K .......... .......... .......... .......... .......... 59%  687M 16s\n","125950K .......... .......... .......... .......... .......... 59%  913K 16s\n","126000K .......... .......... .......... .......... .......... 59% 3,03M 16s\n","126050K .......... .......... .......... .......... .......... 59%  317M 16s\n","126100K .......... .......... .......... .......... .......... 59%  555K 16s\n","126150K .......... .......... .......... .......... .......... 59% 1,85M 16s\n","126200K .......... .......... .......... .......... .......... 59%  295M 16s\n","126250K .......... .......... .......... .......... .......... 59% 3,63M 16s\n","126300K .......... .......... .......... .......... .......... 59%  142M 16s\n","126350K .......... .......... .......... .......... .......... 59%  435M 16s\n","126400K .......... .......... .......... .......... .......... 59%  289M 16s\n","126450K .......... .......... .......... .......... .......... 59% 4,71M 16s\n","126500K .......... .......... .......... .......... .......... 59%  382M 16s\n","126550K .......... .......... .......... .......... .......... 59%  361M 16s\n","126600K .......... .......... .......... .......... .......... 59%  554M 16s\n","126650K .......... .......... .......... .......... .......... 59%  149M 16s\n","126700K .......... .......... .......... .......... .......... 59% 3,83M 16s\n","126750K .......... .......... .......... .......... .......... 59% 22,0M 15s\n","126800K .......... .......... .......... .......... .......... 59%  334M 15s\n","126850K .......... .......... .......... .......... .......... 59%  701M 15s\n","126900K .......... .......... .......... .......... .......... 60% 18,4M 15s\n","126950K .......... .......... .......... .......... .......... 60%  211M 15s\n","127000K .......... .......... .......... .......... .......... 60%  307M 15s\n","127050K .......... .......... .......... .......... .......... 60%  628M 15s\n","127100K .......... .......... .......... .......... .......... 60% 2,40M 15s\n","127150K .......... .......... .......... .......... .......... 60% 2,37M 15s\n","127200K .......... .......... .......... .......... .......... 60%  264M 15s\n","127250K .......... .......... .......... .......... .......... 60%  579M 15s\n","127300K .......... .......... .......... .......... .......... 60%  485K 15s\n","127350K .......... .......... .......... .......... .......... 60% 4,94M 15s\n","127400K .......... .......... .......... .......... .......... 60%  963K 15s\n","127450K .......... .......... .......... .......... .......... 60% 60,7M 15s\n","127500K .......... .......... .......... .......... .......... 60%  516M 15s\n","127550K .......... .......... .......... .......... .......... 60%  564M 15s\n","127600K .......... .......... .......... .......... .......... 60% 4,85M 15s\n","127650K .......... .......... .......... .......... .......... 60% 22,7M 15s\n","127700K .......... .......... .......... .......... .......... 60%  292M 15s\n","127750K .......... .......... .......... .......... .......... 60%  304M 15s\n","127800K .......... .......... .......... .......... .......... 60% 2,45M 15s\n","127850K .......... .......... .......... .......... .......... 60%  321M 15s\n","127900K .......... .......... .......... .......... .......... 60%  300M 15s\n","127950K .......... .......... .......... .......... .......... 60%  439M 15s\n","128000K .......... .......... .......... .......... .......... 60%  317M 15s\n","128050K .......... .......... .......... .......... .......... 60%  481M 15s\n","128100K .......... .......... .......... .......... .......... 60%  524M 15s\n","128150K .......... .......... .......... .......... .......... 60%  504M 15s\n","128200K .......... .......... .......... .......... .......... 60%  695M 15s\n","128250K .......... .......... .......... .......... .......... 60% 2,83M 15s\n","128300K .......... .......... .......... .......... .......... 60%  273M 15s\n","128350K .......... .......... .......... .......... .......... 60%  554M 15s\n","128400K .......... .......... .......... .......... .......... 60%  563M 15s\n","128450K .......... .......... .......... .......... .......... 60%  779K 15s\n","128500K .......... .......... .......... .......... .......... 60% 1,73M 15s\n","128550K .......... .......... .......... .......... .......... 60%  223M 15s\n","128600K .......... .......... .......... .......... .......... 60%  578K 15s\n","128650K .......... .......... .......... .......... .......... 60%  226M 15s\n","128700K .......... .......... .......... .......... .......... 60%  196M 15s\n","128750K .......... .......... .......... .......... .......... 60%  240M 15s\n","128800K .......... .......... .......... .......... .......... 60% 2,41M 15s\n","128850K .......... .......... .......... .......... .......... 60%  375M 15s\n","128900K .......... .......... .......... .......... .......... 60%  460M 15s\n","128950K .......... .......... .......... .......... .......... 60%  478M 15s\n","129000K .......... .......... .......... .......... .......... 60% 4,35M 15s\n","129050K .......... .......... .......... .......... .......... 61% 77,8M 15s\n","129100K .......... .......... .......... .......... .......... 61%  181M 15s\n","129150K .......... .......... .......... .......... .......... 61%  272M 15s\n","129200K .......... .......... .......... .......... .......... 61% 3,29M 15s\n","129250K .......... .......... .......... .......... .......... 61%  289M 15s\n","129300K .......... .......... 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15s\n","130550K .......... .......... .......... .......... .......... 61% 32,5M 15s\n","130600K .......... .......... .......... .......... .......... 61%  319M 15s\n","130650K .......... .......... .......... .......... .......... 61%  559M 15s\n","130700K .......... .......... .......... .......... .......... 61% 15,8M 15s\n","130750K .......... .......... .......... .......... .......... 61%  295M 15s\n","130800K .......... .......... .......... .......... .......... 61%  348M 15s\n","130850K .......... .......... .......... .......... .......... 61% 2,28M 15s\n","130900K .......... .......... .......... .......... .......... 61%  465M 15s\n","130950K .......... .......... .......... .......... .......... 61%  498K 15s\n","131000K .......... .......... .......... .......... .......... 61%  491M 15s\n","131050K .......... .......... .......... .......... .......... 61%  466M 15s\n","131100K .......... .......... .......... .......... .......... 61% 88,3M 15s\n","131150K .......... 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843K 15s\n","132400K .......... .......... .......... .......... .......... 62% 1,87M 15s\n","132450K .......... .......... .......... .......... .......... 62%  408M 15s\n","132500K .......... .......... .......... .......... .......... 62%  416M 15s\n","132550K .......... .......... .......... .......... .......... 62% 4,83M 15s\n","132600K .......... .......... .......... .......... .......... 62%  314M 15s\n","132650K .......... .......... .......... .......... .......... 62%  371M 14s\n","132700K .......... .......... .......... .......... .......... 62%  332M 14s\n","132750K .......... .......... .......... .......... .......... 62% 12,4M 14s\n","132800K .......... .......... .......... .......... .......... 62%  279M 14s\n","132850K .......... .......... .......... .......... .......... 62%  321M 14s\n","132900K .......... .......... .......... .......... .......... 62%  423M 14s\n","132950K .......... .......... .......... .......... .......... 62% 17,7M 14s\n","133000K .......... .......... .......... .......... .......... 62%  437M 14s\n","133050K .......... .......... .......... .......... .......... 62%  476M 14s\n","133100K .......... .......... .......... .......... .......... 62% 19,1M 14s\n","133150K .......... .......... .......... .......... .......... 62%  398M 14s\n","133200K .......... .......... .......... .......... .......... 62%  358M 14s\n","133250K .......... .......... .......... .......... .......... 63%  220M 14s\n","133300K .......... .......... .......... .......... .......... 63%  983K 14s\n","133350K .......... .......... .......... .......... .......... 63% 6,83M 14s\n","133400K .......... .......... .......... .......... .......... 63% 7,93M 14s\n","133450K .......... .......... .......... .......... .......... 63% 66,7M 14s\n","133500K .......... .......... .......... .......... .......... 63% 1,99M 14s\n","133550K .......... .......... .......... .......... .......... 63%  495K 14s\n","133600K .......... .......... 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14s\n","134850K .......... .......... .......... .......... .......... 63%  669M 14s\n","134900K .......... .......... .......... .......... .......... 63%  408M 14s\n","134950K .......... .......... .......... .......... .......... 63% 1,81M 14s\n","135000K .......... .......... .......... .......... .......... 63% 4,81M 14s\n","135050K .......... .......... .......... .......... .......... 63%  691M 14s\n","135100K .......... .......... .......... .......... .......... 63%  574M 14s\n","135150K .......... .......... .......... .......... .......... 63% 4,27M 14s\n","135200K .......... .......... .......... .......... .......... 63%  142M 14s\n","135250K .......... .......... .......... .......... .......... 63%  284M 14s\n","135300K .......... .......... .......... .......... .......... 63% 65,8M 14s\n","135350K .......... .......... .......... .......... .......... 63%  346M 14s\n","135400K .......... .......... .......... .......... .......... 64% 15,5M 14s\n","135450K .......... 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2,83M 14s\n","136700K .......... .......... .......... .......... .......... 64%  231M 14s\n","136750K .......... .......... .......... .......... .......... 64%  519M 14s\n","136800K .......... .......... .......... .......... .......... 64% 30,6M 14s\n","136850K .......... .......... .......... .......... .......... 64%  372M 14s\n","136900K .......... .......... .......... .......... .......... 64%  430M 14s\n","136950K .......... .......... .......... .......... .......... 64%  373M 14s\n","137000K .......... .......... .......... .......... .......... 64% 23,0M 14s\n","137050K .......... .......... .......... .......... .......... 64%  485M 14s\n","137100K .......... .......... .......... .......... .......... 64%  436K 14s\n","137150K .......... .......... .......... .......... .......... 64% 26,1M 14s\n","137200K .......... .......... .......... .......... .......... 64%  219M 14s\n","137250K .......... .......... .......... .......... .......... 64%  523M 14s\n","137300K .......... .......... .......... .......... .......... 64%  572K 14s\n","137350K .......... .......... .......... .......... .......... 64%  323M 14s\n","137400K .......... .......... .......... .......... .......... 64%  346M 14s\n","137450K .......... .......... .......... .......... .......... 64%  427M 14s\n","137500K .......... .......... .......... .......... .......... 65% 1,83M 14s\n","137550K .......... .......... .......... .......... .......... 65% 25,0M 14s\n","137600K .......... .......... .......... .......... .......... 65%  237M 14s\n","137650K .......... .......... .......... .......... .......... 65%  452M 14s\n","137700K .......... .......... .......... .......... .......... 65% 12,4M 14s\n","137750K .......... .......... .......... .......... .......... 65%  299M 14s\n","137800K .......... .......... .......... .......... .......... 65%  425M 14s\n","137850K .......... .......... .......... .......... .......... 65%  546M 14s\n","137900K .......... .......... .......... .......... .......... 65% 29,5M 14s\n","137950K .......... .......... .......... .......... .......... 65%  226M 14s\n","138000K .......... .......... .......... .......... .......... 65%  503M 13s\n","138050K .......... .......... .......... .......... .......... 65% 22,2M 13s\n","138100K .......... .......... .......... .......... .......... 65%  265M 13s\n","138150K .......... .......... .......... .......... .......... 65%  399M 13s\n","138200K .......... .......... .......... .......... .......... 65%  292M 13s\n","138250K .......... .......... .......... .......... .......... 65% 12,6M 13s\n","138300K .......... .......... .......... .......... .......... 65%  673K 13s\n","138350K .......... .......... .......... .......... .......... 65%  209M 13s\n","138400K .......... .......... .......... .......... .......... 65%  394M 13s\n","138450K .......... .......... .......... .......... .......... 65%  439M 13s\n","138500K .......... .......... .......... .......... .......... 65%  430K 13s\n","138550K .......... .......... .......... .......... .......... 65%  272M 13s\n","138600K .......... .......... .......... .......... .......... 65%  337M 13s\n","138650K .......... .......... .......... .......... .......... 65% 2,00M 13s\n","138700K .......... .......... .......... .......... .......... 65% 11,3M 13s\n","138750K .......... .......... .......... .......... .......... 65%  241M 13s\n","138800K .......... .......... .......... .......... .......... 65%  432M 13s\n","138850K .......... .......... .......... .......... .......... 65% 8,54M 13s\n","138900K .......... .......... .......... .......... .......... 65%  185M 13s\n","138950K .......... .......... .......... .......... .......... 65%  413M 13s\n","139000K .......... .......... .......... .......... .......... 65%  366M 13s\n","139050K .......... .......... .......... .......... .......... 65% 9,44M 13s\n","139100K .......... .......... .......... .......... .......... 65%  315M 13s\n","139150K .......... .......... .......... .......... .......... 65%  298M 13s\n","139200K .......... .......... .......... .......... .......... 65%  406M 13s\n","139250K .......... .......... .......... .......... .......... 65% 21,1M 13s\n","139300K .......... .......... .......... .......... .......... 65%  462M 13s\n","139350K .......... .......... .......... .......... .......... 65%  596M 13s\n","139400K .......... .......... .......... .......... .......... 65% 21,0M 13s\n","139450K .......... .......... .......... .......... .......... 65%  378M 13s\n","139500K .......... .......... .......... .......... .......... 65% 1,21M 13s\n","139550K .......... .......... .......... .......... .......... 65%  392M 13s\n","139600K .......... .......... .......... .......... .......... 66%  131M 13s\n","139650K .......... .......... .......... .......... .......... 66%  351K 13s\n","139700K .......... .......... .......... .......... .......... 66% 3,99M 13s\n","139750K .......... .......... .......... .......... .......... 66%  246M 13s\n","139800K .......... .......... .......... .......... .......... 66%  470M 13s\n","139850K .......... .......... .......... .......... .......... 66% 4,62M 13s\n","139900K .......... .......... .......... .......... .......... 66%  376M 13s\n","139950K .......... .......... .......... .......... .......... 66%  373M 13s\n","140000K .......... .......... .......... .......... .......... 66% 27,6M 13s\n","140050K .......... .......... .......... .......... .......... 66% 3,14M 13s\n","140100K .......... .......... .......... .......... .......... 66%  717M 13s\n","140150K .......... .......... .......... .......... .......... 66%  431M 13s\n","140200K .......... .......... .......... .......... .......... 66%  540M 13s\n","140250K .......... .......... .......... .......... .......... 66% 24,7M 13s\n","140300K .......... .......... .......... .......... .......... 66%  342M 13s\n","140350K .......... .......... .......... .......... .......... 66%  358M 13s\n","140400K .......... .......... .......... .......... .......... 66%  434M 13s\n","140450K .......... .......... .......... .......... .......... 66% 16,1M 13s\n","140500K .......... .......... .......... .......... .......... 66%  291M 13s\n","140550K .......... .......... .......... .......... .......... 66%  335M 13s\n","140600K .......... .......... .......... .......... .......... 66%  467M 13s\n","140650K .......... .......... .......... .......... .......... 66% 2,97M 13s\n","140700K .......... .......... .......... .......... .......... 66%  201M 13s\n","140750K .......... .......... .......... .......... .......... 66%  423M 13s\n","140800K .......... .......... .......... .......... .......... 66%  359M 13s\n","140850K .......... .......... .......... .......... .......... 66%  369K 13s\n","140900K .......... .......... .......... .......... .......... 66% 1,09M 13s\n","140950K .......... .......... .......... .......... .......... 66%  398M 13s\n","141000K .......... .......... .......... .......... .......... 66%  691M 13s\n","141050K .......... .......... .......... .......... .......... 66% 25,0M 13s\n","141100K .......... .......... .......... .......... .......... 66%  285M 13s\n","141150K .......... .......... .......... .......... .......... 66%  439M 13s\n","141200K .......... .......... .......... .......... .......... 66%  554M 13s\n","141250K .......... .......... .......... .......... .......... 66% 1,66M 13s\n","141300K .......... .......... .......... .......... .......... 66%  233M 13s\n","141350K .......... .......... .......... .......... .......... 66%  534M 13s\n","141400K .......... .......... .......... .......... .......... 66% 21,4M 13s\n","141450K .......... .......... .......... .......... .......... 66%  352M 13s\n","141500K .......... .......... .......... .......... .......... 66%  417M 13s\n","141550K .......... .......... .......... .......... .......... 66%  390M 13s\n","141600K .......... .......... .......... .......... .......... 66% 17,6M 13s\n","141650K .......... .......... .......... .......... .......... 66%  339M 13s\n","141700K .......... .......... .......... .......... .......... 66%  728M 13s\n","141750K .......... .......... .......... .......... .......... 67% 20,3M 13s\n","141800K .......... .......... .......... .......... .......... 67%  134M 13s\n","141850K .......... .......... .......... .......... .......... 67%  297M 13s\n","141900K .......... .......... .......... .......... .......... 67% 9,58M 13s\n","141950K .......... .......... .......... .......... .......... 67%  212M 13s\n","142000K .......... .......... .......... .......... .......... 67%  402M 13s\n","142050K .......... .......... .......... .......... .......... 67%  464K 13s\n","142100K .......... .......... .......... .......... .......... 67%  535K 13s\n","142150K .......... .......... .......... .......... .......... 67%  577M 13s\n","142200K .......... .......... 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13s\n","143450K .......... .......... .......... .......... .......... 67% 34,6M 13s\n","143500K .......... .......... .......... .......... .......... 67% 2,13M 13s\n","143550K .......... .......... .......... .......... .......... 67% 19,3M 13s\n","143600K .......... .......... .......... .......... .......... 67%  124M 13s\n","143650K .......... .......... .......... .......... .......... 67%  175M 13s\n","143700K .......... .......... .......... .......... .......... 67%  270M 13s\n","143750K .......... .......... .......... .......... .......... 67%  434M 12s\n","143800K .......... .......... .......... .......... .......... 67% 2,14M 12s\n","143850K .......... .......... .......... .......... .......... 68%  125M 12s\n","143900K .......... .......... .......... .......... .......... 68%  357M 12s\n","143950K .......... .......... .......... .......... .......... 68%  735M 12s\n","144000K .......... .......... .......... .......... .......... 68% 12,7M 12s\n","144050K .......... 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17,9M 12s\n","145300K .......... .......... .......... .......... .......... 68%  195M 12s\n","145350K .......... .......... .......... .......... .......... 68%  454M 12s\n","145400K .......... .......... .......... .......... .......... 68%  259M 12s\n","145450K .......... .......... .......... .......... .......... 68% 2,18M 12s\n","145500K .......... .......... .......... .......... .......... 68%  216M 12s\n","145550K .......... .......... .......... .......... .......... 68%  629M 12s\n","145600K .......... .......... .......... .......... .......... 68%  524M 12s\n","145650K .......... .......... .......... .......... .......... 68%  520K 12s\n","145700K .......... .......... .......... .......... .......... 68%  343M 12s\n","145750K .......... .......... .......... .......... .......... 68%  324M 12s\n","145800K .......... .......... .......... .......... .......... 68%  647M 12s\n","145850K .......... .......... .......... .......... .......... 68%  664K 12s\n","145900K .......... .......... .......... .......... .......... 68% 19,6M 12s\n","145950K .......... .......... .......... .......... .......... 69%  118M 12s\n","146000K .......... .......... .......... .......... .......... 69%  284M 12s\n","146050K .......... .......... .......... .......... .......... 69% 3,06M 12s\n","146100K .......... .......... .......... .......... .......... 69%  272M 12s\n","146150K .......... .......... .......... .......... .......... 69%  165M 12s\n","146200K .......... .......... .......... .......... .......... 69%  283M 12s\n","146250K .......... .......... .......... .......... .......... 69% 2,76M 12s\n","146300K .......... .......... .......... .......... .......... 69%  173M 12s\n","146350K .......... .......... .......... .......... .......... 69%  160M 12s\n","146400K .......... .......... .......... .......... .......... 69% 90,4M 12s\n","146450K .......... .......... .......... .......... .......... 69%  200M 12s\n","146500K .......... .......... 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12s\n","147750K .......... .......... .......... .......... .......... 69%  539M 12s\n","147800K .......... .......... .......... .......... .......... 69% 23,2M 12s\n","147850K .......... .......... .......... .......... .......... 69%  470M 12s\n","147900K .......... .......... .......... .......... .......... 69%  505M 12s\n","147950K .......... .......... .......... .......... .......... 69%  394M 12s\n","148000K .......... .......... .......... .......... .......... 69%  709K 12s\n","148050K .......... .......... .......... .......... .......... 69% 20,6M 12s\n","148100K .......... .......... .......... .......... .......... 70%  115M 12s\n","148150K .......... .......... .......... .......... .......... 70%  301M 12s\n","148200K .......... .......... .......... .......... .......... 70%  653K 12s\n","148250K .......... .......... .......... .......... .......... 70%  200M 12s\n","148300K .......... .......... .......... .......... .......... 70%  510M 12s\n","148350K .......... .......... .......... .......... .......... 70%  375M 12s\n","148400K .......... .......... .......... .......... .......... 70%  535M 12s\n","148450K .......... .......... .......... .......... .......... 70% 2,87M 12s\n","148500K .......... .......... .......... .......... .......... 70%  307M 12s\n","148550K .......... .......... .......... .......... .......... 70%  775M 12s\n","148600K .......... .......... .......... .......... .......... 70%  449M 12s\n","148650K .......... .......... .......... .......... .......... 70% 1,17M 12s\n","148700K .......... .......... .......... .......... .......... 70%  205M 12s\n","148750K .......... .......... .......... .......... .......... 70%  788M 12s\n","148800K .......... .......... .......... .......... .......... 70%  546M 12s\n","148850K .......... .......... .......... .......... .......... 70% 26,8M 12s\n","148900K .......... .......... .......... .......... .......... 70%  258M 12s\n","148950K .......... .......... .......... 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501M 11s\n","149600K .......... .......... .......... .......... .......... 70% 2,69M 11s\n","149650K .......... .......... .......... .......... .......... 70% 16,4M 11s\n","149700K .......... .......... .......... .......... .......... 70%  381M 11s\n","149750K .......... .......... .......... .......... .......... 70%  372M 11s\n","149800K .......... .......... .......... .......... .......... 70% 1,12M 11s\n","149850K .......... .......... .......... .......... .......... 70% 51,3M 11s\n","149900K .......... .......... .......... .......... .......... 70%  716M 11s\n","149950K .......... .......... .......... .......... .......... 70% 3,13M 11s\n","150000K .......... .......... .......... .......... .......... 70%  282M 11s\n","150050K .......... .......... .......... .......... .......... 70%  542M 11s\n","150100K .......... .......... .......... .......... .......... 70% 26,6M 11s\n","150150K .......... .......... .......... .......... .......... 70%  682M 11s\n","150200K .......... .......... .......... .......... .......... 71%  108M 11s\n","150250K .......... .......... .......... .......... .......... 71%  321M 11s\n","150300K .......... .......... .......... .......... .......... 71%  316M 11s\n","150350K .......... .......... .......... .......... .......... 71%  600M 11s\n","150400K .......... .......... .......... .......... .......... 71% 1,02M 11s\n","150450K .......... .......... .......... .......... .......... 71%  275M 11s\n","150500K .......... .......... .......... .......... .......... 71%  300M 11s\n","150550K .......... .......... .......... .......... .......... 71%  136M 11s\n","150600K .......... .......... .......... .......... .......... 71%  697K 11s\n","150650K .......... .......... .......... .......... .......... 71%  299M 11s\n","150700K .......... .......... .......... .......... .......... 71%  432M 11s\n","150750K .......... .......... .......... .......... .......... 71%  416M 11s\n","150800K .......... .......... .......... .......... .......... 71% 2,64M 11s\n","150850K .......... .......... .......... .......... .......... 71% 25,1M 11s\n","150900K .......... .......... .......... .......... .......... 71%  277M 11s\n","150950K .......... .......... .......... .......... .......... 71%  506M 11s\n","151000K .......... .......... .......... .......... .......... 71%  959K 11s\n","151050K .......... .......... .......... .......... .......... 71% 57,2M 11s\n","151100K .......... .......... .......... .......... .......... 71% 4,07M 11s\n","151150K .......... .......... .......... .......... .......... 71% 8,94M 11s\n","151200K .......... .......... .......... .......... .......... 71%  283M 11s\n","151250K .......... .......... .......... .......... .......... 71%  409M 11s\n","151300K .......... .......... .......... .......... .......... 71%  804M 11s\n","151350K .......... .......... .......... .......... .......... 71% 4,35M 11s\n","151400K .......... .......... .......... .......... .......... 71%  214M 11s\n","151450K .......... .......... .......... .......... .......... 71%  257M 11s\n","151500K .......... .......... .......... .......... .......... 71% 21,1M 11s\n","151550K .......... .......... .......... .......... .......... 71% 2,01M 11s\n","151600K .......... .......... .......... .......... .......... 71% 21,7M 11s\n","151650K .......... .......... .......... .......... .......... 71%  146M 11s\n","151700K .......... .......... .......... .......... .......... 71%  325M 11s\n","151750K .......... .......... .......... .......... .......... 71%  480M 11s\n","151800K .......... .......... .......... .......... .......... 71%  704K 11s\n","151850K .......... .......... .......... .......... .......... 71%  273M 11s\n","151900K .......... .......... .......... .......... .......... 71%  388M 11s\n","151950K .......... .......... .......... .......... .......... 71%  427M 11s\n","152000K .......... .......... .......... .......... .......... 71% 2,13M 11s\n","152050K .......... .......... .......... .......... .......... 71%  502M 11s\n","152100K .......... .......... .......... .......... .......... 71%  291M 11s\n","152150K .......... .......... .......... .......... .......... 71%  574M 11s\n","152200K .......... .......... .......... .......... .......... 71% 1,06M 11s\n","152250K .......... .......... .......... .......... .......... 71%  375M 11s\n","152300K .......... .......... .......... .......... .......... 72% 3,98M 11s\n","152350K .......... .......... .......... .......... .......... 72% 1,49M 11s\n","152400K .......... .......... .......... .......... .......... 72%  269M 11s\n","152450K .......... .......... .......... .......... .......... 72%  443M 11s\n","152500K .......... .......... .......... .......... .......... 72%  524M 11s\n","152550K .......... .......... .......... .......... .......... 72% 10,0M 11s\n","152600K .......... .......... .......... .......... .......... 72%  309M 11s\n","152650K .......... .......... .......... .......... .......... 72%  673M 11s\n","152700K .......... .......... .......... .......... .......... 72% 28,4M 11s\n","152750K .......... .......... .......... .......... .......... 72% 3,63M 11s\n","152800K .......... .......... .......... .......... .......... 72%  302M 11s\n","152850K .......... .......... .......... .......... .......... 72%  351M 11s\n","152900K .......... .......... .......... .......... .......... 72%  381M 11s\n","152950K .......... .......... .......... .......... .......... 72% 1,12M 11s\n","153000K .......... .......... .......... .......... .......... 72% 1,95M 11s\n","153050K .......... .......... .......... .......... .......... 72%  280M 11s\n","153100K .......... .......... .......... .......... .......... 72%  759M 11s\n","153150K .......... .......... .......... .......... .......... 72% 2,04M 11s\n","153200K .......... .......... .......... .......... .......... 72%  102M 11s\n","153250K .......... .......... .......... .......... .......... 72%  404M 11s\n","153300K .......... .......... .......... .......... .......... 72%  388M 11s\n","153350K .......... .......... .......... .......... .......... 72%  864M 11s\n","153400K .......... .......... .......... .......... .......... 72% 1,26M 11s\n","153450K .......... .......... .......... .......... .......... 72%  372M 11s\n","153500K .......... .......... .......... .......... .......... 72% 1,21M 11s\n","153550K .......... .......... .......... .......... .......... 72% 2,42M 11s\n","153600K .......... .......... .......... .......... .......... 72%  126M 11s\n","153650K .......... .......... .......... .......... .......... 72%  371M 11s\n","153700K .......... .......... .......... .......... .......... 72%  534M 11s\n","153750K .......... .......... .......... .......... .......... 72% 38,6M 11s\n","153800K .......... .......... .......... .......... .......... 72%  404M 11s\n","153850K .......... .......... .......... .......... .......... 72%  387M 11s\n","153900K .......... .......... .......... .......... .......... 72%  372M 11s\n","153950K .......... .......... .......... .......... .......... 72% 3,96M 11s\n","154000K .......... .......... .......... .......... .......... 72%  131M 11s\n","154050K .......... .......... .......... .......... .......... 72%  320M 11s\n","154100K .......... .......... .......... .......... .......... 72%  147M 11s\n","154150K .......... .......... .......... .......... .......... 72%  894K 11s\n","154200K .......... .......... .......... .......... .......... 72% 4,17M 11s\n","154250K .......... .......... .......... .......... .......... 72%  392M 11s\n","154300K .......... .......... .......... .......... .......... 72%  465M 11s\n","154350K .......... .......... .......... .......... .......... 72% 2,50M 11s\n","154400K .......... .......... .......... .......... .......... 73% 9,49M 11s\n","154450K .......... .......... .......... .......... .......... 73%  206M 11s\n","154500K .......... .......... .......... .......... .......... 73%  337M 10s\n","154550K .......... .......... .......... .......... .......... 73%  259M 10s\n","154600K .......... .......... .......... .......... .......... 73% 1,62M 10s\n","154650K .......... .......... .......... .......... .......... 73%  386M 10s\n","154700K .......... .......... .......... .......... .......... 73% 1,34M 10s\n","154750K .......... .......... .......... .......... .......... 73% 1,15M 10s\n","154800K .......... .......... .......... .......... .......... 73% 2,76M 10s\n","154850K .......... .......... .......... .......... .......... 73% 23,7M 10s\n","154900K .......... .......... .......... .......... .......... 73%  344M 10s\n","154950K .......... .......... .......... .......... .......... 73%  476M 10s\n","155000K .......... .......... .......... .......... .......... 73%  411M 10s\n","155050K .......... .......... .......... .......... .......... 73% 15,7M 10s\n","155100K .......... .......... .......... .......... .......... 73%  326M 10s\n","155150K .......... .......... .......... .......... .......... 73%  727M 10s\n","155200K .......... .......... .......... .......... .......... 73% 46,2M 10s\n","155250K .......... .......... .......... .......... .......... 73%  427M 10s\n","155300K .......... .......... .......... .......... .......... 73%  663M 10s\n","155350K .......... .......... .......... .......... .......... 73% 2,02M 10s\n","155400K .......... .......... .......... .......... .......... 73% 2,86M 10s\n","155450K .......... .......... .......... .......... .......... 73% 33,3M 10s\n","155500K .......... .......... .......... .......... .......... 73%  399M 10s\n","155550K .......... .......... .......... .......... .......... 73% 2,97M 10s\n","155600K .......... .......... .......... .......... .......... 73% 4,75M 10s\n","155650K .......... .......... .......... .......... .......... 73%  425M 10s\n","155700K .......... .......... .......... .......... .......... 73%  468M 10s\n","155750K .......... .......... .......... .......... .......... 73% 1,89M 10s\n","155800K .......... .......... .......... .......... .......... 73% 47,0M 10s\n","155850K .......... .......... .......... .......... .......... 73% 23,7M 10s\n","155900K .......... .......... .......... .......... .......... 73% 1,62M 10s\n","155950K .......... .......... .......... .......... .......... 73%  810K 10s\n","156000K .......... .......... .......... .......... .......... 73% 1,61M 10s\n","156050K .......... .......... .......... .......... .......... 73%  197M 10s\n","156100K .......... .......... .......... .......... .......... 73%  406M 10s\n","156150K .......... .......... .......... .......... .......... 73% 9,76M 10s\n","156200K .......... .......... .......... .......... .......... 73%  225M 10s\n","156250K .......... .......... .......... .......... .......... 73%  446M 10s\n","156300K .......... .......... .......... .......... .......... 73%  730M 10s\n","156350K .......... .......... .......... .......... .......... 73% 31,4M 10s\n","156400K .......... .......... .......... .......... .......... 73%  278M 10s\n","156450K .......... .......... .......... .......... .......... 73%  247M 10s\n","156500K .......... .......... .......... .......... .......... 73% 37,7M 10s\n","156550K .......... .......... .......... .......... .......... 74% 7,53M 10s\n","156600K .......... .......... .......... .......... .......... 74% 5,84M 10s\n","156650K .......... .......... .......... .......... .......... 74%  202M 10s\n","156700K .......... .......... .......... .......... .......... 74%  479M 10s\n","156750K .......... .......... .......... .......... .......... 74% 1,93M 10s\n","156800K .......... .......... .......... .......... .......... 74% 21,1M 10s\n","156850K .......... .......... .......... .......... .......... 74%  171M 10s\n","156900K .......... .......... .......... .......... .......... 74%  343M 10s\n","156950K .......... .......... .......... .......... .......... 74% 2,02M 10s\n","157000K .......... .......... .......... .......... .......... 74% 31,8M 10s\n","157050K .......... .......... .......... .......... .......... 74%  350M 10s\n","157100K .......... .......... .......... .......... .......... 74% 1,11M 10s\n","157150K .......... .......... .......... .......... .......... 74%  547K 10s\n","157200K .......... .......... .......... .......... .......... 74% 4,50M 10s\n","157250K .......... .......... .......... .......... .......... 74%  434M 10s\n","157300K .......... .......... .......... .......... .......... 74%  275M 10s\n","157350K .......... .......... .......... .......... .......... 74%  798M 10s\n","157400K .......... .......... .......... .......... .......... 74% 31,7M 10s\n","157450K .......... .......... .......... .......... .......... 74%  385M 10s\n","157500K .......... .......... .......... .......... .......... 74%  393M 10s\n","157550K .......... .......... .......... 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2,19M 10s\n","158200K .......... .......... .......... .......... .......... 74% 35,0M 10s\n","158250K .......... .......... .......... .......... .......... 74%  687M 10s\n","158300K .......... .......... .......... .......... .......... 74% 1,25M 10s\n","158350K .......... .......... .......... .......... .......... 74%  347K 10s\n","158400K .......... .......... .......... .......... .......... 74%  217M 10s\n","158450K .......... .......... .......... .......... .......... 74%  330M 10s\n","158500K .......... .......... .......... .......... .......... 74%  516M 10s\n","158550K .......... .......... .......... .......... .......... 74% 1,87M 10s\n","158600K .......... .......... .......... .......... .......... 74%  270M 10s\n","158650K .......... .......... .......... .......... .......... 75%  188M 10s\n","158700K .......... .......... .......... .......... .......... 75% 25,9M 10s\n","158750K .......... .......... .......... .......... .......... 75%  263M 10s\n","158800K .......... .......... .......... .......... .......... 75%  361M 10s\n","158850K .......... .......... .......... .......... .......... 75%  864M 10s\n","158900K .......... .......... .......... .......... .......... 75% 31,5M 10s\n","158950K .......... .......... .......... .......... .......... 75%  180M 10s\n","159000K .......... .......... .......... .......... .......... 75%  446M 10s\n","159050K .......... .......... .......... .......... .......... 75% 8,30M 10s\n","159100K .......... .......... .......... .......... .......... 75%  316M 10s\n","159150K .......... .......... .......... .......... .......... 75%  227M 10s\n","159200K .......... .......... .......... .......... .......... 75%  361M 10s\n","159250K .......... .......... .......... .......... .......... 75% 26,1M 10s\n","159300K .......... .......... .......... .......... .......... 75%  446M 10s\n","159350K .......... .......... .......... .......... .......... 75%  188M 10s\n","159400K .......... .......... 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.......... 75%  210M 9s\n","160050K .......... .......... .......... .......... .......... 75%  355M 9s\n","160100K .......... .......... .......... .......... .......... 75%  436M 9s\n","160150K .......... .......... .......... .......... .......... 75% 5,48M 9s\n","160200K .......... .......... .......... .......... .......... 75% 4,38M 9s\n","160250K .......... .......... .......... .......... .......... 75%  243M 9s\n","160300K .......... .......... .......... .......... .......... 75%  500M 9s\n","160350K .......... .......... .......... .......... .......... 75%  544M 9s\n","160400K .......... .......... .......... .......... .......... 75% 28,6M 9s\n","160450K .......... .......... .......... .......... .......... 75%  439M 9s\n","160500K .......... .......... .......... .......... .......... 75%  393M 9s\n","160550K .......... .......... .......... .......... .......... 75%  530M 9s\n","160600K .......... .......... .......... .......... .......... 75% 14,9M 9s\n","160650K .......... .......... .......... .......... .......... 75%  141M 9s\n","160700K .......... .......... .......... .......... .......... 75%  468M 9s\n","160750K .......... .......... .......... .......... .......... 76%  360K 9s\n","160800K .......... .......... .......... .......... .......... 76% 25,6M 9s\n","160850K .......... .......... .......... .......... .......... 76%  330M 9s\n","160900K .......... .......... .......... .......... .......... 76%  741M 9s\n","160950K .......... .......... .......... .......... .......... 76%  778K 9s\n","161000K .......... .......... .......... .......... .......... 76% 2,40M 9s\n","161050K .......... .......... .......... .......... .......... 76%  330M 9s\n","161100K .......... .......... .......... .......... .......... 76%  674M 9s\n","161150K .......... .......... .......... .......... .......... 76% 32,2M 9s\n","161200K .......... .......... .......... .......... .......... 76%  252M 9s\n","161250K .......... .......... .......... .......... .......... 76%  268M 9s\n","161300K .......... .......... .......... .......... .......... 76%  559M 9s\n","161350K .......... .......... .......... .......... .......... 76% 8,94M 9s\n","161400K .......... .......... .......... .......... .......... 76%  195M 9s\n","161450K .......... .......... .......... .......... .......... 76%  459M 9s\n","161500K .......... .......... .......... .......... .......... 76%  382M 9s\n","161550K .......... .......... .......... .......... .......... 76% 10,8M 9s\n","161600K .......... .......... .......... .......... .......... 76%  157M 9s\n","161650K .......... .......... .......... .......... .......... 76%  803M 9s\n","161700K .......... .......... .......... .......... .......... 76% 7,85M 9s\n","161750K .......... .......... .......... .......... .......... 76% 11,7M 9s\n","161800K .......... .......... .......... .......... .......... 76%  304M 9s\n","161850K .......... .......... .......... .......... .......... 76%  280M 9s\n","161900K .......... .......... .......... .......... .......... 76% 41,2M 9s\n","161950K .......... .......... .......... .......... .......... 76%  164M 9s\n","162000K .......... .......... .......... .......... .......... 76%  555K 9s\n","162050K .......... .......... .......... .......... .......... 76% 8,00M 9s\n","162100K .......... .......... .......... .......... .......... 76%  348M 9s\n","162150K .......... .......... .......... .......... .......... 76% 13,3M 9s\n","162200K .......... .......... .......... .......... .......... 76%  368K 9s\n","162250K .......... .......... .......... .......... .......... 76%  351M 9s\n","162300K .......... .......... .......... .......... .......... 76%  399M 9s\n","162350K .......... .......... .......... .......... .......... 76% 25,9M 9s\n","162400K .......... .......... .......... .......... .......... 76%  169M 9s\n","162450K .......... .......... .......... .......... .......... 76%  240M 9s\n","162500K .......... .......... .......... .......... .......... 76%  709M 9s\n","162550K .......... .......... .......... .......... .......... 76%  152M 9s\n","162600K .......... .......... .......... .......... .......... 76%  350M 9s\n","162650K .......... .......... .......... .......... .......... 76% 14,2M 9s\n","162700K .......... .......... .......... .......... .......... 76%  468M 9s\n","162750K .......... .......... .......... .......... .......... 76%  510M 9s\n","162800K .......... .......... .......... .......... .......... 76% 23,0M 9s\n","162850K .......... .......... .......... .......... .......... 76%  303M 9s\n","162900K .......... .......... .......... .......... .......... 77%  122M 9s\n","162950K .......... .......... .......... .......... .......... 77%  727M 9s\n","163000K .......... .......... .......... .......... .......... 77% 14,2M 9s\n","163050K .......... .......... .......... .......... .......... 77%  269M 9s\n","163100K .......... .......... .......... .......... .......... 77%  442M 9s\n","163150K .......... .......... .......... .......... .......... 77%  557M 9s\n","163200K .......... .......... .......... .......... .......... 77%  997K 9s\n","163250K .......... .......... .......... .......... .......... 77% 26,0M 9s\n","163300K .......... .......... .......... .......... .......... 77%  195M 9s\n","163350K .......... .......... .......... .......... .......... 77%  707M 9s\n","163400K .......... .......... .......... .......... .......... 77%  327K 9s\n","163450K .......... .......... .......... .......... .......... 77%  281M 9s\n","163500K .......... .......... .......... .......... .......... 77%  441M 9s\n","163550K .......... .......... .......... .......... .......... 77%  392M 9s\n","163600K .......... .......... .......... .......... .......... 77% 4,37M 9s\n","163650K .......... .......... .......... .......... .......... 77%  412M 9s\n","163700K .......... .......... .......... .......... .......... 77%  369M 9s\n","163750K .......... .......... .......... .......... .......... 77%  457M 9s\n","163800K .......... .......... .......... .......... .......... 77% 39,8M 9s\n","163850K .......... .......... .......... .......... .......... 77% 2,58M 9s\n","163900K .......... .......... .......... .......... .......... 77% 14,5M 9s\n","163950K .......... .......... .......... .......... .......... 77%  275M 9s\n","164000K .......... .......... .......... .......... .......... 77%  478M 9s\n","164050K .......... .......... .......... .......... .......... 77%  394M 9s\n","164100K .......... .......... .......... .......... .......... 77% 30,3M 9s\n","164150K .......... .......... .......... .......... .......... 77%  217M 9s\n","164200K .......... .......... .......... .......... .......... 77%  561M 9s\n","164250K .......... .......... .......... .......... .......... 77% 13,8M 9s\n","164300K .......... .......... .......... .......... .......... 77%  484M 9s\n","164350K .......... .......... .......... .......... .......... 77%  306M 9s\n","164400K .......... .......... .......... .......... .......... 77% 4,53M 9s\n","164450K .......... .......... .......... .......... .......... 77%  273M 9s\n","164500K .......... .......... .......... .......... .......... 77%  474M 9s\n","164550K .......... .......... .......... .......... .......... 77%  808M 9s\n","164600K .......... .......... .......... .......... .......... 77%  309K 9s\n","164650K .......... .......... .......... .......... .......... 77% 16,9M 9s\n","164700K .......... .......... .......... .......... .......... 77%  319M 9s\n","164750K .......... .......... .......... .......... .......... 77%  692M 9s\n","164800K .......... .......... .......... .......... .......... 77% 1,39M 9s\n","164850K .......... .......... .......... .......... .......... 77% 4,36M 9s\n","164900K .......... .......... .......... .......... .......... 77%  298M 9s\n","164950K .......... .......... .......... .......... .......... 77%  470M 9s\n","165000K .......... .......... .......... .......... .......... 78% 30,7M 9s\n","165050K .......... .......... .......... .......... .......... 78% 1,71M 9s\n","165100K .......... .......... .......... .......... .......... 78%  256M 9s\n","165150K .......... .......... .......... .......... .......... 78%  288M 9s\n","165200K .......... .......... .......... .......... .......... 78% 30,4M 9s\n","165250K .......... .......... .......... .......... .......... 78%  627M 9s\n","165300K .......... .......... .......... .......... .......... 78%  367M 9s\n","165350K .......... .......... .......... .......... .......... 78%  422M 9s\n","165400K .......... .......... .......... .......... .......... 78% 12,6M 9s\n","165450K .......... .......... .......... .......... .......... 78%  593M 9s\n","165500K .......... .......... .......... .......... .......... 78%  494M 8s\n","165550K .......... .......... .......... .......... .......... 78%  518M 8s\n","165600K .......... .......... .......... .......... .......... 78% 33,6M 8s\n","165650K .......... .......... .......... .......... .......... 78%  371M 8s\n","165700K .......... .......... .......... .......... .......... 78%  707M 8s\n","165750K .......... .......... .......... .......... .......... 78% 24,7M 8s\n","165800K .......... .......... .......... .......... .......... 78%  426K 8s\n","165850K .......... .......... .......... .......... .......... 78% 20,2M 8s\n","165900K .......... .......... .......... .......... .......... 78%  381M 8s\n","165950K .......... .......... .......... .......... .......... 78%  570M 8s\n","166000K .......... .......... .......... .......... .......... 78% 51,9M 8s\n","166050K .......... .......... .......... .......... .......... 78%  632K 8s\n","166100K .......... .......... .......... .......... .......... 78%  337M 8s\n","166150K .......... .......... .......... .......... .......... 78%  462M 8s\n","166200K .......... .......... .......... .......... .......... 78%  405M 8s\n","166250K .......... .......... .......... .......... .......... 78% 3,23M 8s\n","166300K .......... .......... .......... .......... .......... 78%  252M 8s\n","166350K .......... .......... .......... .......... .......... 78%  629M 8s\n","166400K .......... .......... .......... .......... .......... 78%  376M 8s\n","166450K .......... .......... .......... .......... .......... 78% 1,82M 8s\n","166500K .......... .......... .......... .......... .......... 78%  223M 8s\n","166550K .......... .......... .......... .......... .......... 78%  365M 8s\n","166600K .......... .......... .......... .......... .......... 78% 22,5M 8s\n","166650K .......... .......... .......... .......... .......... 78%  255M 8s\n","166700K .......... .......... .......... .......... .......... 78%  421M 8s\n","166750K .......... .......... .......... .......... .......... 78%  458M 8s\n","166800K .......... .......... .......... .......... .......... 78% 28,6M 8s\n","166850K .......... .......... .......... .......... .......... 78%  456M 8s\n","166900K .......... .......... .......... .......... .......... 78%  317M 8s\n","166950K .......... .......... .......... .......... .......... 78% 26,1M 8s\n","167000K .......... .......... .......... .......... .......... 78%  344M 8s\n","167050K .......... .......... .......... .......... .......... 78%  677K 8s\n","167100K .......... .......... .......... .......... .......... 79% 25,5M 8s\n","167150K .......... .......... .......... .......... .......... 79%  120M 8s\n","167200K .......... .......... .......... .......... .......... 79%  285M 8s\n","167250K .......... .......... .......... .......... .......... 79%  385M 8s\n","167300K .......... .......... .......... .......... .......... 79%  376K 8s\n","167350K .......... .......... .......... .......... .......... 79% 41,4M 8s\n","167400K .......... .......... .......... .......... .......... 79%  217M 8s\n","167450K .......... .......... .......... .......... .......... 79%  498M 8s\n","167500K .......... .......... .......... .......... .......... 79% 7,65M 8s\n","167550K .......... .......... .......... .......... .......... 79% 5,42M 8s\n","167600K .......... .......... .......... .......... .......... 79% 2,88M 8s\n","167650K .......... .......... .......... .......... .......... 79%  234M 8s\n","167700K .......... .......... .......... .......... .......... 79%  524M 8s\n","167750K .......... .......... .......... .......... .......... 79%  762M 8s\n","167800K .......... .......... .......... .......... .......... 79% 2,24M 8s\n","167850K .......... .......... .......... .......... .......... 79%  282M 8s\n","167900K .......... .......... .......... .......... .......... 79%  333M 8s\n","167950K .......... .......... .......... .......... .......... 79% 13,0M 8s\n","168000K .......... .......... .......... .......... .......... 79% 3,30M 8s\n","168050K .......... .......... .......... .......... .......... 79%  127M 8s\n","168100K .......... .......... .......... .......... .......... 79%  446M 8s\n","168150K .......... .......... .......... .......... .......... 79%  537M 8s\n","168200K .......... .......... .......... .......... .......... 79% 10,4M 8s\n","168250K .......... .......... .......... .......... .......... 79%  146M 8s\n","168300K .......... .......... .......... .......... .......... 79%  321M 8s\n","168350K .......... .......... .......... .......... .......... 79% 17,9M 8s\n","168400K .......... .......... .......... .......... .......... 79%  262M 8s\n","168450K .......... .......... .......... .......... .......... 79%  487M 8s\n","168500K .......... .......... .......... .......... .......... 79%  690K 8s\n","168550K .......... .......... .......... .......... .......... 79%  642K 8s\n","168600K .......... .......... .......... .......... .......... 79%  307M 8s\n","168650K .......... .......... .......... .......... .......... 79%  681M 8s\n","168700K .......... .......... .......... .......... .......... 79%  124M 8s\n","168750K .......... .......... .......... .......... .......... 79% 1,52M 8s\n","168800K .......... .......... .......... .......... .......... 79% 3,07M 8s\n","168850K .......... .......... .......... .......... .......... 79% 98,5M 8s\n","168900K .......... .......... .......... .......... .......... 79%  335M 8s\n","168950K .......... .......... .......... .......... .......... 79%  187M 8s\n","169000K .......... .......... .......... .......... .......... 79% 3,52M 8s\n","169050K .......... .......... .......... .......... .......... 79%  215M 8s\n","169100K .......... .......... .......... .......... .......... 79%  539M 8s\n","169150K .......... .......... .......... .......... .......... 79% 13,2M 8s\n","169200K .......... .......... .......... .......... .......... 79% 7,14M 8s\n","169250K .......... .......... .......... .......... .......... 80% 8,44M 8s\n","169300K .......... .......... .......... .......... .......... 80%  269M 8s\n","169350K .......... .......... .......... .......... .......... 80% 6,37M 8s\n","169400K .......... .......... .......... .......... .......... 80%  257M 8s\n","169450K .......... .......... .......... .......... .......... 80%  387M 8s\n","169500K .......... .......... .......... .......... .......... 80% 27,0M 8s\n","169550K .......... .......... .......... .......... .......... 80%  445M 8s\n","169600K .......... .......... .......... .......... .......... 80%  462M 8s\n","169650K .......... .......... .......... .......... .......... 80%  499M 8s\n","169700K .......... .......... .......... .......... .......... 80%  118M 8s\n","169750K .......... .......... .......... .......... .......... 80%  454M 8s\n","169800K .......... .......... .......... .......... .......... 80%  439K 8s\n","169850K .......... .......... .......... .......... .......... 80%  432M 8s\n","169900K .......... .......... .......... .......... .......... 80%  481M 8s\n","169950K .......... .......... .......... .......... .......... 80%  266M 8s\n","170000K .......... .......... .......... .......... .......... 80%  862K 8s\n","170050K .......... .......... .......... .......... .......... 80% 1,50M 8s\n","170100K .......... .......... .......... .......... .......... 80% 2,47M 8s\n","170150K .......... .......... .......... .......... .......... 80%  157M 8s\n","170200K .......... .......... .......... .......... .......... 80%  152M 8s\n","170250K .......... .......... .......... .......... .......... 80% 68,3M 8s\n","170300K .......... .......... .......... .......... .......... 80%  336M 8s\n","170350K .......... .......... .......... .......... .......... 80%  440M 8s\n","170400K .......... .......... .......... .......... .......... 80%  436M 8s\n","170450K .......... .......... .......... .......... .......... 80% 5,14M 8s\n","170500K .......... .......... .......... .......... .......... 80%  432M 8s\n","170550K .......... .......... .......... .......... .......... 80%  486M 8s\n","170600K .......... .......... .......... .......... .......... 80% 31,2M 8s\n","170650K .......... .......... .......... .......... .......... 80%  169M 8s\n","170700K .......... .......... .......... .......... .......... 80%  448M 8s\n","170750K .......... .......... .......... .......... .......... 80%  313M 8s\n","170800K .......... .......... .......... .......... .......... 80% 30,0M 8s\n","170850K .......... .......... .......... .......... .......... 80%  181M 8s\n","170900K .......... .......... .......... .......... .......... 80%  377M 8s\n","170950K .......... .......... .......... .......... .......... 80%  511M 7s\n","171000K .......... .......... .......... .......... .......... 80%  102M 7s\n","171050K .......... .......... .......... .......... .......... 80%  644K 7s\n","171100K .......... .......... .......... .......... .......... 80% 25,6M 7s\n","171150K .......... .......... .......... .......... .......... 80%  489M 7s\n","171200K .......... .......... .......... .......... .......... 80%  463M 7s\n","171250K .......... .......... .......... .......... .......... 80% 28,2M 7s\n","171300K .......... .......... .......... .......... .......... 80%  477K 7s\n","171350K .......... .......... .......... .......... .......... 81% 1,57M 7s\n","171400K .......... .......... .......... .......... .......... 81%  381M 7s\n","171450K .......... .......... .......... .......... .......... 81%  365M 7s\n","171500K .......... .......... .......... .......... .......... 81% 2,54M 7s\n","171550K .......... .......... .......... .......... .......... 81%  439M 7s\n","171600K .......... .......... .......... .......... .......... 81%  483M 7s\n","171650K .......... .......... .......... .......... .......... 81%  806M 7s\n","171700K .......... .......... .......... .......... .......... 81% 16,0M 7s\n","171750K .......... .......... .......... .......... .......... 81%  292M 7s\n","171800K .......... .......... .......... .......... .......... 81%  315M 7s\n","171850K .......... .......... .......... .......... .......... 81%  802M 7s\n","171900K .......... .......... .......... .......... .......... 81% 26,3M 7s\n","171950K .......... .......... .......... .......... .......... 81%  268M 7s\n","172000K .......... .......... .......... .......... .......... 81%  280M 7s\n","172050K .......... .......... .......... .......... .......... 81% 21,6M 7s\n","172100K .......... .......... .......... .......... .......... 81%  685M 7s\n","172150K .......... .......... .......... .......... .......... 81%  348M 7s\n","172200K .......... .......... .......... .......... .......... 81%  418M 7s\n","172250K .......... .......... .......... .......... .......... 81%  125M 7s\n","172300K .......... .......... .......... .......... .......... 81% 39,3M 7s\n","172350K .......... .......... .......... .......... .......... 81% 1,21M 7s\n","172400K .......... .......... .......... .......... .......... 81%  264M 7s\n","172450K .......... 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.......... 81%  287M 7s\n","173100K .......... .......... .......... .......... .......... 81% 11,5M 7s\n","173150K .......... .......... .......... .......... .......... 81%  158M 7s\n","173200K .......... .......... .......... .......... .......... 81%  326M 7s\n","173250K .......... .......... .......... .......... .......... 81%  139M 7s\n","173300K .......... .......... .......... .......... .......... 81%  427M 7s\n","173350K .......... .......... .......... .......... .......... 81%  656M 7s\n","173400K .......... .......... .......... .......... .......... 81%  336M 7s\n","173450K .......... .......... .......... .......... .......... 82% 4,97M 7s\n","173500K .......... .......... .......... .......... .......... 82%  174M 7s\n","173550K .......... .......... .......... .......... .......... 82%  207M 7s\n","173600K .......... .......... .......... .......... .......... 82%  280M 7s\n","173650K .......... .......... .......... .......... .......... 82%  501M 7s\n","173700K .......... .......... .......... .......... .......... 82%  764M 7s\n","173750K .......... .......... .......... .......... .......... 82%  317M 7s\n","173800K .......... .......... .......... .......... .......... 82%  297M 7s\n","173850K .......... .......... .......... .......... .......... 82% 2,70M 7s\n","173900K .......... .......... .......... .......... .......... 82%  298K 7s\n","173950K .......... .......... .......... .......... .......... 82% 19,9M 7s\n","174000K .......... .......... .......... .......... .......... 82%  359M 7s\n","174050K .......... .......... .......... .......... .......... 82% 2,61M 7s\n","174100K .......... .......... .......... .......... .......... 82%  453M 7s\n","174150K .......... .......... .......... .......... .......... 82% 5,25M 7s\n","174200K .......... .......... .......... .......... .......... 82%  282M 7s\n","174250K .......... .......... .......... .......... .......... 82%  759M 7s\n","174300K .......... .......... .......... .......... .......... 82%  326M 7s\n","174350K .......... .......... .......... .......... .......... 82% 4,37M 7s\n","174400K .......... .......... .......... .......... .......... 82%  232M 7s\n","174450K .......... .......... .......... .......... .......... 82%  335M 7s\n","174500K .......... .......... .......... .......... .......... 82%  331M 7s\n","174550K .......... .......... .......... .......... .......... 82% 2,70M 7s\n","174600K .......... .......... .......... .......... .......... 82%  303M 7s\n","174650K .......... .......... .......... .......... .......... 82%  311M 7s\n","174700K .......... .......... .......... .......... .......... 82% 18,8M 7s\n","174750K .......... .......... .......... .......... .......... 82%  328M 7s\n","174800K .......... .......... .......... .......... .......... 82%  337M 7s\n","174850K .......... .......... .......... .......... .......... 82%  733M 7s\n","174900K .......... .......... .......... .......... .......... 82% 17,6M 7s\n","174950K .......... .......... .......... .......... .......... 82%  342M 7s\n","175000K .......... .......... .......... .......... .......... 82% 25,8M 7s\n","175050K .......... .......... .......... .......... .......... 82%  399M 7s\n","175100K .......... .......... .......... .......... .......... 82%  194M 7s\n","175150K .......... .......... .......... .......... .......... 82%  461M 7s\n","175200K .......... .......... .......... .......... .......... 82%  699K 7s\n","175250K .......... .......... .......... .......... .......... 82%  730K 7s\n","175300K .......... .......... .......... .......... .......... 82%  462M 7s\n","175350K .......... .......... .......... .......... .......... 82%  752K 7s\n","175400K .......... .......... .......... .......... .......... 82%  166M 7s\n","175450K .......... .......... .......... .......... .......... 82%  186M 7s\n","175500K .......... .......... .......... .......... .......... 82%  435M 7s\n","175550K .......... .......... .......... .......... .......... 82% 3,05M 7s\n","175600K .......... .......... .......... .......... .......... 83%  142M 7s\n","175650K .......... .......... .......... .......... .......... 83%  287M 7s\n","175700K .......... .......... .......... .......... .......... 83%  230M 7s\n","175750K .......... .......... .......... .......... .......... 83%  587M 7s\n","175800K .......... .......... .......... .......... .......... 83%  376M 7s\n","175850K .......... .......... .......... .......... .......... 83%  360M 7s\n","175900K .......... .......... .......... .......... .......... 83% 3,06M 7s\n","175950K .......... .......... .......... .......... .......... 83%  271M 7s\n","176000K .......... .......... .......... .......... .......... 83%  147M 7s\n","176050K .......... .......... .......... .......... .......... 83%  255M 7s\n","176100K .......... .......... .......... .......... .......... 83%  295M 7s\n","176150K .......... .......... .......... .......... .......... 83%  426M 7s\n","176200K .......... .......... .......... .......... .......... 83%  565M 7s\n","176250K .......... .......... .......... .......... .......... 83%  372M 7s\n","176300K .......... .......... .......... .......... .......... 83%  305M 7s\n","176350K .......... .......... .......... .......... .......... 83% 32,1M 6s\n","176400K .......... .......... .......... .......... .......... 83%  280M 6s\n","176450K .......... .......... .......... .......... .......... 83%  565M 6s\n","176500K .......... .......... .......... .......... .......... 83%  324M 6s\n","176550K .......... .......... .......... .......... .......... 83%  531K 6s\n","176600K .......... .......... .......... .......... .......... 83% 67,8M 6s\n","176650K .......... .......... .......... .......... .......... 83%  495K 6s\n","176700K .......... .......... .......... .......... .......... 83% 1,33M 6s\n","176750K .......... .......... .......... .......... .......... 83%  211M 6s\n","176800K .......... .......... .......... .......... .......... 83%  330M 6s\n","176850K .......... .......... .......... .......... .......... 83%  309M 6s\n","176900K .......... .......... .......... .......... .......... 83% 28,3M 6s\n","176950K .......... .......... .......... .......... .......... 83%  282M 6s\n","177000K .......... .......... .......... .......... .......... 83%  319M 6s\n","177050K .......... .......... .......... .......... .......... 83%  103M 6s\n","177100K .......... .......... .......... .......... .......... 83%  297M 6s\n","177150K .......... .......... .......... .......... .......... 83% 11,7M 6s\n","177200K .......... .......... .......... .......... .......... 83% 43,8M 6s\n","177250K .......... .......... .......... .......... .......... 83%  327M 6s\n","177300K .......... .......... .......... .......... .......... 83%  461M 6s\n","177350K .......... .......... .......... .......... .......... 83% 15,0M 6s\n","177400K .......... .......... .......... .......... .......... 83%  239M 6s\n","177450K .......... .......... .......... .......... .......... 83%  381M 6s\n","177500K .......... .......... .......... .......... .......... 83% 26,8M 6s\n","177550K .......... .......... .......... .......... .......... 83%  234M 6s\n","177600K .......... .......... .......... .......... .......... 83%  220M 6s\n","177650K .......... .......... .......... .......... .......... 83% 17,4M 6s\n","177700K .......... .......... .......... .......... .......... 84%  133M 6s\n","177750K .......... .......... .......... .......... .......... 84%  256M 6s\n","177800K .......... .......... .......... .......... .......... 84%  359M 6s\n","177850K .......... .......... .......... .......... .......... 84% 1,13M 6s\n","177900K .......... .......... .......... .......... .......... 84% 45,8M 6s\n","177950K .......... .......... .......... .......... .......... 84%  309M 6s\n","178000K .......... .......... .......... .......... .......... 84%  331K 6s\n","178050K .......... .......... .......... .......... .......... 84% 4,63M 6s\n","178100K .......... .......... .......... .......... .......... 84%  264M 6s\n","178150K .......... .......... .......... .......... .......... 84%  254M 6s\n","178200K .......... .......... .......... .......... .......... 84% 4,66M 6s\n","178250K .......... .......... .......... .......... .......... 84%  357M 6s\n","178300K .......... .......... .......... .......... .......... 84%  358M 6s\n","178350K .......... .......... .......... .......... .......... 84% 2,35M 6s\n","178400K .......... .......... .......... .......... .......... 84%  159M 6s\n","178450K .......... .......... .......... .......... .......... 84%  208M 6s\n","178500K .......... .......... .......... .......... .......... 84%  422M 6s\n","178550K .......... .......... .......... .......... .......... 84% 7,65M 6s\n","178600K .......... .......... .......... .......... .......... 84%  214M 6s\n","178650K .......... .......... .......... .......... .......... 84%  222M 6s\n","178700K .......... .......... .......... .......... .......... 84% 24,2M 6s\n","178750K .......... .......... .......... .......... .......... 84% 52,3M 6s\n","178800K .......... .......... .......... .......... .......... 84%  298M 6s\n","178850K .......... .......... .......... .......... .......... 84%  408M 6s\n","178900K .......... .......... .......... .......... .......... 84% 34,0M 6s\n","178950K .......... .......... .......... .......... .......... 84%  510M 6s\n","179000K .......... .......... .......... .......... .......... 84%  159M 6s\n","179050K .......... .......... .......... .......... .......... 84%  278M 6s\n","179100K .......... .......... .......... .......... .......... 84% 16,5M 6s\n","179150K .......... .......... .......... .......... .......... 84%  385M 6s\n","179200K .......... .......... .......... .......... .......... 84%  234M 6s\n","179250K .......... .......... .......... .......... .......... 84% 22,6M 6s\n","179300K .......... .......... .......... .......... .......... 84%  341M 6s\n","179350K .......... .......... .......... .......... .......... 84%  259K 6s\n","179400K .......... .......... .......... .......... .......... 84%  496M 6s\n","179450K .......... .......... .......... .......... .......... 84% 1,62M 6s\n","179500K .......... .......... .......... .......... .......... 84%  144M 6s\n","179550K .......... .......... .......... .......... .......... 84%  162M 6s\n","179600K .......... .......... .......... .......... .......... 84%  147M 6s\n","179650K .......... .......... .......... .......... .......... 84% 28,5M 6s\n","179700K .......... .......... .......... .......... .......... 84%  364M 6s\n","179750K .......... .......... .......... .......... .......... 84%  339M 6s\n","179800K .......... .......... .......... .......... .......... 85% 3,20M 6s\n","179850K .......... .......... .......... .......... .......... 85%  104M 6s\n","179900K .......... .......... .......... .......... .......... 85%  151M 6s\n","179950K .......... .......... .......... .......... .......... 85%  255M 6s\n","180000K .......... .......... .......... .......... .......... 85%  300M 6s\n","180050K .......... .......... .......... .......... .......... 85%  498M 6s\n","180100K .......... .......... .......... .......... .......... 85%  572M 6s\n","180150K .......... .......... .......... .......... .......... 85%  493M 6s\n","180200K .......... .......... .......... .......... .......... 85% 5,68M 6s\n","180250K .......... .......... .......... .......... .......... 85%  285M 6s\n","180300K .......... .......... .......... .......... .......... 85%  724M 6s\n","180350K .......... .......... .......... .......... .......... 85% 29,5M 6s\n","180400K .......... .......... .......... .......... .......... 85%  239M 6s\n","180450K .......... .......... .......... .......... .......... 85%  221M 6s\n","180500K .......... .......... .......... .......... .......... 85%  605M 6s\n","180550K .......... .......... .......... .......... .......... 85%  196M 6s\n","180600K .......... .......... .......... .......... .......... 85% 17,2M 6s\n","180650K .......... .......... .......... .......... .......... 85%  268M 6s\n","180700K .......... .......... .......... .......... .......... 85%  390M 6s\n","180750K .......... .......... .......... .......... .......... 85%  359K 6s\n","180800K .......... .......... .......... .......... .......... 85% 33,1M 6s\n","180850K .......... .......... .......... .......... .......... 85%  985K 6s\n","180900K .......... .......... .......... .......... .......... 85%  320M 6s\n","180950K .......... .......... .......... .......... .......... 85%  271M 6s\n","181000K .......... .......... .......... .......... .......... 85% 4,34M 6s\n","181050K .......... .......... .......... .......... .......... 85%  200M 6s\n","181100K .......... .......... .......... .......... .......... 85%  351M 6s\n","181150K .......... .......... .......... .......... .......... 85%  529M 6s\n","181200K .......... .......... .......... .......... .......... 85%  251M 6s\n","181250K .......... .......... .......... .......... .......... 85% 1,84M 6s\n","181300K .......... .......... .......... .......... .......... 85%  157M 6s\n","181350K .......... .......... .......... .......... .......... 85%  301M 6s\n","181400K .......... .......... .......... .......... .......... 85% 23,5M 6s\n","181450K .......... .......... .......... .......... .......... 85%  387M 6s\n","181500K .......... .......... .......... .......... .......... 85%  195M 6s\n","181550K .......... .......... .......... .......... .......... 85%  315M 6s\n","181600K .......... .......... .......... .......... .......... 85% 26,5M 6s\n","181650K .......... .......... .......... .......... .......... 85%  336M 6s\n","181700K .......... .......... .......... .......... .......... 85%  732M 6s\n","181750K .......... .......... .......... .......... .......... 85%  392M 5s\n","181800K .......... .......... .......... .......... .......... 85% 5,91M 5s\n","181850K .......... .......... .......... .......... .......... 85%  342M 5s\n","181900K .......... .......... .......... .......... .......... 85% 24,5M 5s\n","181950K .......... .......... .......... .......... .......... 86%  127M 5s\n","182000K .......... .......... .......... .......... .......... 86%  242M 5s\n","182050K .......... .......... .......... .......... .......... 86%  375M 5s\n","182100K .......... .......... .......... .......... .......... 86%  463M 5s\n","182150K .......... .......... .......... .......... .......... 86%  544K 5s\n","182200K .......... .......... .......... .......... .......... 86%  889K 5s\n","182250K .......... .......... .......... .......... .......... 86% 21,1M 5s\n","182300K .......... .......... .......... .......... .......... 86%  465M 5s\n","182350K .......... .......... .......... .......... .......... 86%  730M 5s\n","182400K .......... .......... .......... .......... .......... 86%  227M 5s\n","182450K .......... .......... .......... .......... .......... 86% 4,51M 5s\n","182500K .......... .......... .......... .......... .......... 86%  263M 5s\n","182550K .......... .......... .......... .......... .......... 86%  396M 5s\n","182600K .......... .......... .......... .......... .......... 86%  467M 5s\n","182650K .......... .......... .......... .......... .......... 86% 1,11M 5s\n","182700K .......... .......... .......... .......... .......... 86%  332M 5s\n","182750K .......... .......... .......... .......... .......... 86%  305M 5s\n","182800K .......... .......... .......... .......... .......... 86%  495M 5s\n","182850K .......... .......... .......... .......... .......... 86% 5,20M 5s\n","182900K .......... .......... .......... .......... .......... 86% 24,9M 5s\n","182950K .......... .......... .......... .......... .......... 86%  153M 5s\n","183000K .......... .......... .......... .......... .......... 86%  218M 5s\n","183050K .......... .......... .......... .......... .......... 86% 7,30M 5s\n","183100K .......... .......... .......... .......... .......... 86% 22,6M 5s\n","183150K .......... .......... .......... .......... .......... 86%  419M 5s\n","183200K .......... .......... .......... .......... .......... 86%  711M 5s\n","183250K .......... .......... .......... .......... .......... 86% 6,42M 5s\n","183300K .......... .......... .......... .......... .......... 86% 18,0M 5s\n","183350K .......... .......... .......... .......... .......... 86%  199M 5s\n","183400K .......... .......... .......... .......... .......... 86%  337M 5s\n","183450K .......... .......... .......... .......... .......... 86%  479M 5s\n","183500K .......... .......... .......... .......... .......... 86%  752M 5s\n","183550K .......... .......... .......... .......... .......... 86%  982K 5s\n","183600K .......... .......... .......... .......... .......... 86%  291M 5s\n","183650K .......... .......... .......... .......... .......... 86%  631K 5s\n","183700K .......... .......... .......... .......... .......... 86% 5,29M 5s\n","183750K .......... .......... .......... .......... .......... 86%  428M 5s\n","183800K .......... .......... .......... .......... .......... 86%  337M 5s\n","183850K .......... .......... .......... .......... .......... 86% 25,3M 5s\n","183900K .......... .......... .......... .......... .......... 86%  251M 5s\n","183950K .......... .......... .......... .......... .......... 86%  670M 5s\n","184000K .......... .......... .......... .......... .......... 86%  269M 5s\n","184050K .......... .......... .......... .......... .......... 87%  677K 5s\n","184100K .......... .......... .......... .......... .......... 87% 4,57M 5s\n","184150K .......... .......... .......... .......... .......... 87%  274M 5s\n","184200K .......... .......... .......... .......... .......... 87%  601M 5s\n","184250K .......... .......... .......... .......... .......... 87% 25,6M 5s\n","184300K .......... .......... .......... .......... .......... 87%  123M 5s\n","184350K .......... .......... .......... .......... .......... 87%  277M 5s\n","184400K .......... .......... .......... .......... .......... 87%  483M 5s\n","184450K .......... .......... .......... .......... .......... 87% 6,78M 5s\n","184500K .......... .......... .......... .......... .......... 87%  341M 5s\n","184550K .......... .......... .......... .......... .......... 87%  286M 5s\n","184600K .......... .......... .......... .......... .......... 87%  463M 5s\n","184650K .......... .......... .......... .......... .......... 87% 22,2M 5s\n","184700K .......... .......... .......... .......... .......... 87%  269M 5s\n","184750K .......... .......... .......... .......... .......... 87%  465M 5s\n","184800K .......... .......... .......... .......... .......... 87% 28,5M 5s\n","184850K .......... .......... .......... .......... .......... 87%  339M 5s\n","184900K .......... .......... .......... .......... .......... 87%  482M 5s\n","184950K .......... .......... .......... .......... .......... 87%  486M 5s\n","185000K .......... .......... .......... .......... .......... 87% 4,55M 5s\n","185050K .......... .......... .......... .......... .......... 87%  297M 5s\n","185100K .......... .......... .......... .......... .......... 87%  467K 5s\n","185150K .......... .......... .......... .......... .......... 87%  215M 5s\n","185200K .......... .......... .......... .......... .......... 87%  293M 5s\n","185250K .......... .......... .......... .......... .......... 87%  504M 5s\n","185300K .......... .......... .......... .......... .......... 87% 13,9M 5s\n","185350K .......... .......... .......... .......... .......... 87%  276M 5s\n","185400K .......... .......... .......... .......... .......... 87%  242M 5s\n","185450K .......... .......... .......... .......... .......... 87% 39,8M 5s\n","185500K .......... .......... .......... .......... .......... 87%  748K 5s\n","185550K .......... .......... .......... .......... .......... 87% 2,74M 5s\n","185600K .......... .......... .......... .......... .......... 87%  214M 5s\n","185650K .......... .......... .......... .......... .......... 87%  337M 5s\n","185700K .......... .......... .......... .......... .......... 87%  193M 5s\n","185750K .......... .......... .......... .......... .......... 87%  179M 5s\n","185800K .......... .......... .......... .......... .......... 87% 1,71M 5s\n","185850K .......... .......... .......... .......... .......... 87%  290M 5s\n","185900K .......... .......... .......... .......... .......... 87%  214M 5s\n","185950K .......... .......... .......... .......... .......... 87%  372M 5s\n","186000K .......... .......... .......... .......... .......... 87% 33,8M 5s\n","186050K .......... .......... .......... .......... .......... 87%  282M 5s\n","186100K .......... .......... .......... .......... .......... 87%  158M 5s\n","186150K .......... .......... .......... .......... .......... 88% 34,1M 5s\n","186200K .......... .......... .......... .......... .......... 88%  298M 5s\n","186250K .......... .......... .......... .......... .......... 88%  697M 5s\n","186300K .......... .......... .......... .......... .......... 88%  407M 5s\n","186350K .......... .......... .......... .......... .......... 88% 13,5M 5s\n","186400K .......... .......... .......... .......... .......... 88% 9,69M 5s\n","186450K .......... .......... .......... .......... .......... 88%  334M 5s\n","186500K .......... .......... .......... .......... .......... 88%  755M 5s\n","186550K .......... .......... .......... .......... .......... 88% 1,27M 5s\n","186600K .......... .......... .......... .......... .......... 88% 1,17M 5s\n","186650K .......... .......... .......... .......... .......... 88%  264M 5s\n","186700K .......... .......... .......... .......... .......... 88%  459M 5s\n","186750K .......... .......... .......... .......... .......... 88%  293M 5s\n","186800K .......... .......... .......... .......... .......... 88% 25,2M 5s\n","186850K .......... .......... .......... .......... .......... 88%  348M 5s\n","186900K .......... .......... .......... .......... .......... 88%  409M 5s\n","186950K .......... .......... .......... .......... .......... 88%  815M 5s\n","187000K .......... .......... .......... .......... .......... 88%  709K 5s\n","187050K .......... .......... .......... .......... .......... 88% 2,25M 5s\n","187100K .......... .......... .......... .......... .......... 88%  249M 5s\n","187150K .......... .......... .......... .......... .......... 88%  512M 4s\n","187200K .......... .......... .......... .......... .......... 88%  451M 4s\n","187250K .......... .......... .......... .......... .......... 88% 42,4M 4s\n","187300K .......... .......... .......... .......... .......... 88% 1,46M 4s\n","187350K .......... .......... .......... .......... .......... 88%  300M 4s\n","187400K .......... .......... .......... .......... .......... 88% 4,22M 4s\n","187450K .......... .......... .......... .......... .......... 88%  199M 4s\n","187500K .......... .......... .......... .......... .......... 88%  392M 4s\n","187550K .......... .......... .......... .......... .......... 88% 21,4M 4s\n","187600K .......... .......... .......... .......... .......... 88%  258M 4s\n","187650K .......... .......... .......... .......... .......... 88%  487M 4s\n","187700K .......... .......... .......... .......... .......... 88%  443M 4s\n","187750K .......... .......... .......... .......... .......... 88% 84,6M 4s\n","187800K .......... .......... .......... .......... .......... 88% 19,4M 4s\n","187850K .......... .......... .......... .......... .......... 88% 22,9M 4s\n","187900K .......... .......... .......... .......... .......... 88%  165M 4s\n","187950K .......... .......... .......... .......... .......... 88%  426M 4s\n","188000K .......... .......... .......... .......... .......... 88% 17,2M 4s\n","188050K .......... .......... .......... .......... .......... 88%  974K 4s\n","188100K .......... .......... .......... .......... .......... 88% 5,33M 4s\n","188150K .......... .......... .......... .......... .......... 88%  296M 4s\n","188200K .......... .......... .......... .......... .......... 88% 15,9M 4s\n","188250K .......... .......... .......... .......... .......... 89%  315M 4s\n","188300K .......... .......... .......... .......... .......... 89%  166M 4s\n","188350K .......... .......... .......... .......... .......... 89%  126M 4s\n","188400K .......... .......... .......... .......... .......... 89%  272M 4s\n","188450K .......... .......... .......... .......... .......... 89%  515M 4s\n","188500K .......... .......... .......... .......... .......... 89%  959K 4s\n","188550K .......... .......... .......... .......... .......... 89% 1,63M 4s\n","188600K .......... .......... .......... .......... .......... 89%  226M 4s\n","188650K .......... .......... .......... .......... .......... 89%  320M 4s\n","188700K .......... .......... .......... .......... .......... 89%  331M 4s\n","188750K .......... .......... .......... .......... .......... 89%  964K 4s\n","188800K .......... .......... .......... .......... .......... 89% 36,4M 4s\n","188850K .......... .......... .......... .......... .......... 89%  619M 4s\n","188900K .......... .......... .......... .......... .......... 89% 2,73M 4s\n","188950K .......... .......... .......... .......... .......... 89%  329M 4s\n","189000K .......... .......... .......... .......... .......... 89%  405M 4s\n","189050K .......... .......... .......... .......... .......... 89%  443M 4s\n","189100K .......... .......... .......... .......... .......... 89% 7,83M 4s\n","189150K .......... .......... .......... .......... .......... 89%  237M 4s\n","189200K .......... .......... .......... .......... .......... 89%  359M 4s\n","189250K .......... .......... .......... .......... .......... 89% 17,5M 4s\n","189300K .......... .......... .......... .......... .......... 89%  413M 4s\n","189350K .......... .......... .......... .......... .......... 89%  334M 4s\n","189400K .......... .......... .......... .......... .......... 89% 16,8M 4s\n","189450K .......... .......... .......... .......... .......... 89%  536M 4s\n","189500K .......... .......... .......... .......... .......... 89%  285M 4s\n","189550K .......... .......... .......... .......... .......... 89% 1,27M 4s\n","189600K .......... .......... .......... .......... .......... 89% 3,43M 4s\n","189650K .......... .......... .......... .......... .......... 89%  161M 4s\n","189700K .......... .......... .......... .......... .......... 89%  748M 4s\n","189750K .......... .......... .......... .......... .......... 89% 30,8M 4s\n","189800K .......... .......... .......... .......... .......... 89%  247M 4s\n","189850K .......... .......... .......... .......... .......... 89%  494M 4s\n","189900K .......... .......... .......... .......... .......... 89%  821M 4s\n","189950K .......... .......... .......... .......... .......... 89% 50,1M 4s\n","190000K .......... .......... .......... .......... .......... 89% 9,05M 4s\n","190050K .......... .......... .......... .......... .......... 89%  865K 4s\n","190100K .......... .......... .......... .......... .......... 89% 15,0M 4s\n","190150K .......... .......... .......... .......... .......... 89% 98,0M 4s\n","190200K .......... .......... .......... .......... .......... 89%  126M 4s\n","190250K .......... .......... .......... .......... .......... 89% 77,8M 4s\n","190300K .......... .......... .......... .......... .......... 89%  507K 4s\n","190350K .......... .......... .......... .......... .......... 89%  320M 4s\n","190400K .......... .......... .......... .......... .......... 90%  124M 4s\n","190450K .......... .......... .......... .......... .......... 90%  252M 4s\n","190500K .......... .......... .......... .......... .......... 90% 26,0M 4s\n","190550K .......... .......... .......... .......... .......... 90%  232M 4s\n","190600K .......... .......... .......... .......... .......... 90%  515M 4s\n","190650K .......... .......... .......... .......... .......... 90% 15,5M 4s\n","190700K .......... .......... .......... .......... .......... 90%  224M 4s\n","190750K .......... .......... .......... .......... .......... 90%  335M 4s\n","190800K .......... .......... .......... .......... .......... 90%  504M 4s\n","190850K .......... .......... .......... .......... .......... 90% 29,9M 4s\n","190900K .......... .......... .......... .......... .......... 90%  261M 4s\n","190950K .......... .......... .......... .......... .......... 90%  320M 4s\n","191000K .......... .......... .......... .......... .......... 90%  343M 4s\n","191050K .......... .......... .......... .......... .......... 90% 30,1M 4s\n","191100K .......... .......... .......... .......... .......... 90% 1,73M 4s\n","191150K .......... .......... .......... .......... .......... 90% 29,2M 4s\n","191200K .......... .......... .......... .......... .......... 90%  251M 4s\n","191250K .......... .......... .......... .......... .......... 90%  407M 4s\n","191300K .......... .......... .......... .......... .......... 90% 4,03M 4s\n","191350K .......... .......... .......... .......... .......... 90%  254M 4s\n","191400K .......... .......... .......... .......... .......... 90%  272M 4s\n","191450K .......... .......... .......... .......... .......... 90%  209M 4s\n","191500K .......... .......... .......... .......... .......... 90%  479M 4s\n","191550K .......... .......... .......... .......... .......... 90%  288M 4s\n","191600K .......... .......... .......... .......... .......... 90% 1008K 4s\n","191650K .......... .......... .......... .......... .......... 90% 23,4M 4s\n","191700K .......... .......... .......... .......... .......... 90%  276M 4s\n","191750K .......... .......... .......... .......... .......... 90%  769M 4s\n","191800K .......... .......... .......... .......... .......... 90% 23,4M 4s\n","191850K .......... .......... .......... .......... .......... 90%  512K 4s\n","191900K .......... .......... .......... .......... .......... 90% 32,3M 4s\n","191950K .......... .......... .......... .......... .......... 90%  632M 4s\n","192000K .......... .......... .......... .......... .......... 90% 1,80M 4s\n","192050K .......... .......... .......... .......... .......... 90%  339M 4s\n","192100K .......... .......... .......... .......... .......... 90%  313M 4s\n","192150K .......... .......... .......... .......... .......... 90%  443M 4s\n","192200K .......... .......... .......... .......... .......... 90% 32,4M 4s\n","192250K .......... .......... .......... .......... .......... 90%  271M 4s\n","192300K .......... .......... .......... .......... .......... 90%  373M 4s\n","192350K .......... .......... .......... .......... .......... 90% 14,5M 4s\n","192400K .......... .......... .......... .......... .......... 90%  349M 4s\n","192450K .......... .......... .......... .......... .......... 90%  322M 3s\n","192500K .......... .......... .......... .......... .......... 91%  139M 3s\n","192550K .......... .......... .......... .......... .......... 91% 16,8M 3s\n","192600K .......... .......... .......... .......... .......... 91%  247M 3s\n","192650K .......... .......... .......... .......... .......... 91%  623M 3s\n","192700K .......... .......... .......... .......... .......... 91% 2,42M 3s\n","192750K .......... .......... .......... .......... .......... 91%  343M 3s\n","192800K .......... .......... .......... .......... .......... 91%  615M 3s\n","192850K .......... .......... .......... .......... .......... 91%  372M 3s\n","192900K .......... .......... .......... .......... .......... 91%  130M 3s\n","192950K .......... .......... .......... .......... .......... 91%  269M 3s\n","193000K .......... .......... .......... .......... .......... 91% 5,84M 3s\n","193050K .......... .......... .......... .......... .......... 91%  266M 3s\n","193100K .......... .......... .......... .......... .......... 91%  713M 3s\n","193150K .......... .......... .......... .......... .......... 91%  351M 3s\n","193200K .......... .......... .......... .......... .......... 91% 1,30M 3s\n","193250K .......... .......... .......... .......... .......... 91%  240M 3s\n","193300K .......... .......... .......... .......... .......... 91% 77,2M 3s\n","193350K .......... .......... .......... .......... .......... 91%  592M 3s\n","193400K .......... .......... .......... .......... .......... 91%  633K 3s\n","193450K .......... .......... .......... .......... .......... 91% 1,07M 3s\n","193500K .......... .......... .......... .......... .......... 91%  133M 3s\n","193550K .......... .......... .......... .......... .......... 91%  485M 3s\n","193600K .......... .......... .......... .......... .......... 91% 5,14M 3s\n","193650K .......... .......... .......... .......... .......... 91% 2,63M 3s\n","193700K .......... .......... .......... .......... .......... 91%  241M 3s\n","193750K .......... .......... .......... .......... .......... 91%  283M 3s\n","193800K .......... .......... .......... .......... .......... 91% 36,7M 3s\n","193850K .......... .......... .......... .......... .......... 91%  279M 3s\n","193900K .......... .......... .......... .......... .......... 91%  340M 3s\n","193950K .......... .......... .......... .......... .......... 91%  356M 3s\n","194000K .......... .......... .......... .......... .......... 91% 6,53M 3s\n","194050K .......... .......... .......... .......... .......... 91%  523M 3s\n","194100K .......... .......... .......... .......... .......... 91%  241M 3s\n","194150K .......... .......... .......... .......... .......... 91%  352M 3s\n","194200K .......... .......... .......... .......... .......... 91% 1,87M 3s\n","194250K .......... .......... .......... .......... .......... 91%  326M 3s\n","194300K .......... .......... .......... .......... .......... 91%  106M 3s\n","194350K .......... .......... .......... .......... .......... 91%  145M 3s\n","194400K .......... .......... .......... .......... .......... 91%  204M 3s\n","194450K .......... .......... .......... .......... .......... 91%  244M 3s\n","194500K .......... .......... .......... .......... .......... 91%  135M 3s\n","194550K .......... .......... .......... .......... .......... 91%  210M 3s\n","194600K .......... .......... .......... .......... .......... 92%  284M 3s\n","194650K .......... .......... .......... .......... .......... 92%  309M 3s\n","194700K .......... .......... .......... .......... .......... 92%  520M 3s\n","194750K .......... .......... .......... .......... .......... 92%  392M 3s\n","194800K .......... .......... .......... .......... .......... 92% 3,86M 3s\n","194850K .......... .......... .......... .......... .......... 92% 17,8M 3s\n","194900K .......... .......... .......... .......... .......... 92%  248M 3s\n","194950K .......... .......... .......... .......... .......... 92%  564M 3s\n","195000K .......... .......... .......... .......... .......... 92% 35,2M 3s\n","195050K .......... .......... .......... .......... .......... 92%  376K 3s\n","195100K .......... .......... .......... .......... .......... 92% 32,0M 3s\n","195150K .......... .......... .......... .......... .......... 92%  453M 3s\n","195200K .......... .......... .......... .......... .......... 92%  300M 3s\n","195250K .......... .......... .......... .......... .......... 92%  806K 3s\n","195300K .......... .......... .......... .......... .......... 92%  132M 3s\n","195350K .......... .......... .......... .......... .......... 92% 1,75M 3s\n","195400K .......... .......... .......... .......... .......... 92%  168M 3s\n","195450K .......... .......... .......... .......... .......... 92%  718M 3s\n","195500K .......... .......... .......... .......... .......... 92%  709M 3s\n","195550K .......... .......... .......... .......... .......... 92% 30,2M 3s\n","195600K .......... .......... .......... .......... .......... 92%  330M 3s\n","195650K .......... .......... .......... .......... .......... 92%  762M 3s\n","195700K .......... .......... .......... .......... .......... 92% 54,9M 3s\n","195750K .......... .......... .......... .......... .......... 92%  417M 3s\n","195800K .......... .......... .......... .......... .......... 92% 14,2M 3s\n","195850K .......... .......... .......... .......... .......... 92%  467M 3s\n","195900K .......... .......... .......... .......... .......... 92%  231M 3s\n","195950K .......... .......... .......... .......... .......... 92% 33,4M 3s\n","196000K .......... .......... .......... .......... .......... 92%  324M 3s\n","196050K .......... .......... .......... .......... .......... 92%  295M 3s\n","196100K .......... .......... .......... .......... .......... 92%  585M 3s\n","196150K .......... .......... .......... .......... .......... 92% 17,2M 3s\n","196200K .......... .......... .......... .......... .......... 92%  293M 3s\n","196250K .......... .......... .......... .......... .......... 92%  326M 3s\n","196300K .......... .......... .......... .......... .......... 92% 31,6M 3s\n","196350K .......... .......... .......... .......... .......... 92%  369M 3s\n","196400K .......... .......... .......... .......... .......... 92%  515M 3s\n","196450K .......... .......... .......... .......... .......... 92%  426M 3s\n","196500K .......... .......... .......... .......... .......... 92% 32,1M 3s\n","196550K .......... .......... .......... .......... .......... 92% 33,3M 3s\n","196600K .......... .......... .......... .......... .......... 92%  255M 3s\n","196650K .......... .......... .......... .......... .......... 92%  431M 3s\n","196700K .......... .......... .......... .......... .......... 92%  520K 3s\n","196750K .......... .......... .......... .......... .......... 93% 25,7M 3s\n","196800K .......... .......... .......... .......... .......... 93%  247M 3s\n","196850K .......... .......... .......... .......... .......... 93%  355M 3s\n","196900K .......... .......... .......... .......... .......... 93%  588K 3s\n","196950K .......... .......... .......... .......... .......... 93% 15,3M 3s\n","197000K .......... .......... .......... .......... .......... 93% 2,25M 3s\n","197050K .......... .......... .......... .......... .......... 93%  274M 3s\n","197100K .......... .......... .......... .......... .......... 93%  140M 3s\n","197150K .......... .......... .......... .......... .......... 93%  306M 3s\n","197200K .......... .......... .......... .......... .......... 93%  233M 3s\n","197250K .......... .......... .......... .......... .......... 93%  609M 3s\n","197300K .......... .......... .......... .......... .......... 93% 2,14M 3s\n","197350K .......... .......... .......... .......... .......... 93%  215M 3s\n","197400K .......... .......... .......... .......... .......... 93%  322M 3s\n","197450K .......... .......... .......... .......... .......... 93%  656M 3s\n","197500K .......... .......... .......... .......... .......... 93% 2,37M 3s\n","197550K .......... .......... .......... .......... .......... 93%  199M 3s\n","197600K .......... .......... .......... .......... .......... 93%  159M 3s\n","197650K .......... .......... .......... .......... .......... 93%  384M 3s\n","197700K .......... .......... .......... .......... .......... 93%  742M 3s\n","197750K .......... .......... .......... .......... .......... 93%  478M 3s\n","197800K .......... .......... .......... .......... .......... 93%  421M 2s\n","197850K .......... .......... .......... .......... .......... 93% 10,2M 2s\n","197900K .......... .......... .......... .......... .......... 93%  318M 2s\n","197950K .......... .......... .......... .......... .......... 93%  209M 2s\n","198000K .......... .......... .......... .......... .......... 93%  117M 2s\n","198050K .......... .......... .......... .......... .......... 93%  223M 2s\n","198100K .......... .......... .......... .......... .......... 93%  395M 2s\n","198150K .......... .......... .......... .......... .......... 93%  594M 2s\n","198200K .......... .......... .......... .......... .......... 93%  256M 2s\n","198250K .......... .......... .......... .......... .......... 93%  322M 2s\n","198300K .......... .......... .......... .......... .......... 93%  384M 2s\n","198350K .......... .......... .......... .......... .......... 93%  744M 2s\n","198400K .......... .......... .......... .......... .......... 93% 1,24M 2s\n","198450K .......... .......... .......... .......... .......... 93% 20,2M 2s\n","198500K .......... .......... .......... .......... .......... 93%  213M 2s\n","198550K .......... .......... .......... .......... .......... 93%  492M 2s\n","198600K .......... .......... .......... .......... .......... 93%  595K 2s\n","198650K .......... .......... .......... .......... .......... 93%  184M 2s\n","198700K .......... .......... .......... .......... .......... 93%  592K 2s\n","198750K .......... .......... .......... .......... .......... 93%  167M 2s\n","198800K .......... .......... .......... .......... .......... 93%  137M 2s\n","198850K .......... .......... .......... .......... .......... 94%  103M 2s\n","198900K .......... .......... .......... .......... .......... 94% 3,64M 2s\n","198950K .......... .......... .......... .......... .......... 94%  306M 2s\n","199000K .......... .......... .......... .......... .......... 94%  407M 2s\n","199050K .......... .......... .......... .......... .......... 94% 2,42M 2s\n","199100K .......... .......... .......... .......... .......... 94%  205M 2s\n","199150K .......... .......... .......... .......... .......... 94%  296M 2s\n","199200K .......... .......... .......... .......... .......... 94%  338M 2s\n","199250K .......... .......... .......... .......... .......... 94% 5,91M 2s\n","199300K .......... .......... .......... .......... .......... 94%  396M 2s\n","199350K .......... .......... .......... .......... .......... 94%  404M 2s\n","199400K .......... .......... .......... .......... .......... 94% 32,1M 2s\n","199450K .......... .......... .......... .......... .......... 94%  316M 2s\n","199500K .......... .......... .......... .......... .......... 94%  459M 2s\n","199550K .......... .......... .......... .......... .......... 94%  402M 2s\n","199600K .......... .......... .......... .......... .......... 94% 10,1M 2s\n","199650K .......... .......... .......... .......... .......... 94% 75,5M 2s\n","199700K .......... .......... .......... .......... .......... 94%  369M 2s\n","199750K .......... .......... .......... .......... .......... 94%  504M 2s\n","199800K .......... .......... .......... .......... .......... 94%  112M 2s\n","199850K .......... .......... .......... .......... .......... 94%  199M 2s\n","199900K .......... .......... .......... .......... .......... 94%  245M 2s\n","199950K .......... .......... .......... .......... .......... 94% 36,5M 2s\n","200000K .......... .......... .......... .......... .......... 94%  390M 2s\n","200050K .......... .......... .......... .......... .......... 94%  362M 2s\n","200100K .......... .......... .......... .......... .......... 94%  424M 2s\n","200150K .......... .......... .......... .......... .......... 94% 22,5M 2s\n","200200K .......... .......... .......... .......... .......... 94%  439M 2s\n","200250K .......... .......... .......... .......... .......... 94%  425M 2s\n","200300K .......... .......... .......... .......... .......... 94%  886K 2s\n","200350K .......... .......... .......... .......... .......... 94% 23,0M 2s\n","200400K .......... .......... .......... .......... .......... 94%  193M 2s\n","200450K .......... .......... .......... .......... .......... 94%  333K 2s\n","200500K .......... .......... .......... .......... .......... 94%  161M 2s\n","200550K .......... .......... .......... .......... .......... 94%  272M 2s\n","200600K .......... .......... .......... .......... .......... 94%  219M 2s\n","200650K .......... .......... .......... .......... .......... 94%  576M 2s\n","200700K .......... .......... .......... .......... .......... 94%  271M 2s\n","200750K .......... .......... .......... .......... .......... 94%  171M 2s\n","200800K .......... .......... .......... .......... .......... 94% 5,24M 2s\n","200850K .......... .......... .......... .......... .......... 94%  324M 2s\n","200900K .......... .......... .......... .......... .......... 94%  450M 2s\n","200950K .......... .......... .......... .......... .......... 95%  269M 2s\n","201000K .......... .......... .......... .......... .......... 95% 1,73M 2s\n","201050K .......... .......... .......... .......... .......... 95%  194M 2s\n","201100K .......... .......... .......... .......... .......... 95%  535M 2s\n","201150K .......... .......... .......... .......... .......... 95% 4,63M 2s\n","201200K .......... .......... .......... .......... .......... 95%  169M 2s\n","201250K .......... .......... .......... .......... .......... 95%  235M 2s\n","201300K .......... .......... .......... .......... .......... 95%  352M 2s\n","201350K .......... .......... .......... .......... .......... 95% 13,6M 2s\n","201400K .......... .......... .......... .......... .......... 95%  123M 2s\n","201450K .......... .......... .......... .......... .......... 95%  298M 2s\n","201500K .......... .......... .......... .......... .......... 95% 42,6M 2s\n","201550K .......... .......... .......... .......... .......... 95%  428M 2s\n","201600K .......... .......... .......... .......... .......... 95%  340M 2s\n","201650K .......... .......... .......... .......... .......... 95% 15,1M 2s\n","201700K .......... .......... .......... .......... .......... 95%  206M 2s\n","201750K .......... .......... .......... .......... .......... 95%  384M 2s\n","201800K .......... .......... .......... .......... .......... 95% 16,7M 2s\n","201850K .......... .......... .......... .......... .......... 95%  438M 2s\n","201900K .......... .......... .......... .......... .......... 95%  703M 2s\n","201950K .......... .......... .......... .......... .......... 95%  326M 2s\n","202000K .......... .......... .......... .......... .......... 95% 47,5M 2s\n","202050K .......... .......... .......... .......... .......... 95%  549M 2s\n","202100K .......... .......... .......... .......... .......... 95% 18,9M 2s\n","202150K .......... .......... .......... .......... .......... 95%  333M 2s\n","202200K .......... .......... .......... .......... .......... 95%  262K 2s\n","202250K .......... .......... .......... .......... .......... 95%  290M 2s\n","202300K .......... .......... .......... .......... .......... 95%  287M 2s\n","202350K .......... .......... .......... .......... .......... 95%  448M 2s\n","202400K .......... .......... .......... .......... .......... 95% 2,69M 2s\n","202450K .......... .......... .......... .......... .......... 95%  341M 2s\n","202500K .......... .......... .......... .......... .......... 95% 31,8M 2s\n","202550K .......... .......... .......... .......... .......... 95% 4,57M 2s\n","202600K .......... .......... .......... .......... .......... 95%  233M 2s\n","202650K .......... .......... .......... .......... .......... 95%  398M 2s\n","202700K .......... .......... .......... .......... .......... 95% 5,15M 2s\n","202750K .......... .......... .......... .......... .......... 95% 92,8M 2s\n","202800K .......... .......... .......... .......... .......... 95%  151M 2s\n","202850K .......... .......... .......... .......... .......... 95% 3,16M 2s\n","202900K .......... .......... .......... .......... .......... 95%  219M 2s\n","202950K .......... .......... .......... .......... .......... 95%  343M 2s\n","203000K .......... .......... .......... .......... .......... 95%  269M 2s\n","203050K .......... .......... .......... .......... .......... 95% 2,70M 2s\n","203100K .......... .......... .......... .......... .......... 96%  142M 2s\n","203150K .......... .......... .......... .......... .......... 96%  115M 2s\n","203200K .......... .......... .......... .......... .......... 96%  360M 2s\n","203250K .......... .......... .......... .......... .......... 96%  326M 1s\n","203300K .......... .......... .......... .......... .......... 96%  480M 1s\n","203350K .......... .......... .......... .......... .......... 96%  434M 1s\n","203400K .......... .......... .......... .......... .......... 96%  424M 1s\n","203450K .......... .......... .......... .......... .......... 96%  468M 1s\n","203500K .......... .......... .......... .......... .......... 96%  482M 1s\n","203550K .......... .......... .......... .......... .......... 96%  288M 1s\n","203600K .......... .......... .......... .......... .......... 96%  293M 1s\n","203650K .......... .......... .......... .......... .......... 96%  353M 1s\n","203700K .......... .......... .......... .......... .......... 96%  175M 1s\n","203750K .......... .......... .......... .......... .......... 96% 70,8M 1s\n","203800K .......... .......... .......... .......... .......... 96%  425M 1s\n","203850K .......... .......... .......... .......... .......... 96%  545M 1s\n","203900K .......... .......... .......... .......... .......... 96%  479M 1s\n","203950K .......... .......... .......... .......... .......... 96%  501M 1s\n","204000K .......... .......... .......... .......... .......... 96%  346M 1s\n","204050K .......... .......... .......... .......... .......... 96%  268K 1s\n","204100K .......... .......... .......... .......... .......... 96% 37,6M 1s\n","204150K .......... .......... .......... .......... .......... 96%  394M 1s\n","204200K .......... .......... .......... .......... .......... 96% 6,91M 1s\n","204250K .......... .......... .......... .......... .......... 96%  240M 1s\n","204300K .......... .......... .......... .......... .......... 96%  618M 1s\n","204350K .......... .......... .......... .......... .......... 96% 1,44M 1s\n","204400K .......... .......... .......... .......... .......... 96%  181M 1s\n","204450K .......... .......... .......... .......... .......... 96% 34,2M 1s\n","204500K .......... .......... .......... .......... .......... 96%  105M 1s\n","204550K .......... .......... .......... .......... .......... 96% 25,7M 1s\n","204600K .......... .......... .......... .......... .......... 96%  323M 1s\n","204650K .......... .......... .......... .......... .......... 96%  550M 1s\n","204700K .......... .......... .......... .......... .......... 96%  623M 1s\n","204750K .......... .......... .......... .......... .......... 96% 4,96M 1s\n","204800K .......... .......... .......... .......... .......... 96%  323M 1s\n","204850K .......... .......... .......... .......... .......... 96%  424M 1s\n","204900K .......... .......... .......... .......... .......... 96%  578M 1s\n","204950K .......... .......... .......... .......... .......... 96% 29,6M 1s\n","205000K .......... .......... .......... .......... .......... 96%  324M 1s\n","205050K .......... .......... .......... .......... .......... 96%  360M 1s\n","205100K .......... .......... .......... .......... .......... 96% 3,55M 1s\n","205150K .......... .......... .......... .......... .......... 96%  325M 1s\n","205200K .......... .......... .......... .......... .......... 97%  143M 1s\n","205250K .......... .......... .......... .......... .......... 97%  285M 1s\n","205300K .......... .......... .......... .......... .......... 97% 36,1M 1s\n","205350K .......... .......... .......... .......... .......... 97%  507M 1s\n","205400K .......... .......... .......... .......... .......... 97%  419M 1s\n","205450K .......... .......... .......... .......... .......... 97% 14,1M 1s\n","205500K .......... .......... .......... .......... .......... 97%  313M 1s\n","205550K .......... .......... .......... .......... .......... 97%  407M 1s\n","205600K .......... .......... .......... .......... .......... 97%  514M 1s\n","205650K .......... .......... .......... .......... .......... 97% 35,8M 1s\n","205700K .......... .......... .......... .......... .......... 97%  505M 1s\n","205750K .......... .......... .......... .......... .......... 97%  569M 1s\n","205800K .......... .......... .......... .......... .......... 97% 48,7M 1s\n","205850K .......... .......... .......... .......... .......... 97%  487M 1s\n","205900K .......... .......... .......... .......... .......... 97%  402K 1s\n","205950K .......... .......... .......... .......... .......... 97% 37,6M 1s\n","206000K .......... .......... .......... .......... .......... 97%  388M 1s\n","206050K .......... .......... .......... .......... .......... 97%  809K 1s\n","206100K .......... .......... .......... .......... .......... 97% 24,6M 1s\n","206150K .......... .......... .......... .......... .......... 97%  425M 1s\n","206200K .......... .......... .......... .......... .......... 97%  308M 1s\n","206250K .......... .......... .......... .......... .......... 97% 2,80M 1s\n","206300K .......... .......... .......... .......... .......... 97%  351M 1s\n","206350K .......... .......... .......... .......... .......... 97%  810M 1s\n","206400K .......... .......... .......... .......... .......... 97%  429M 1s\n","206450K .......... .......... .......... .......... .......... 97% 28,5M 1s\n","206500K .......... .......... .......... .......... .......... 97%  345M 1s\n","206550K .......... .......... .......... .......... .......... 97%  387M 1s\n","206600K .......... .......... .......... .......... .......... 97% 1,84M 1s\n","206650K .......... .......... .......... .......... .......... 97%  302M 1s\n","206700K .......... .......... .......... .......... .......... 97%  387M 1s\n","206750K .......... .......... .......... .......... .......... 97%  630M 1s\n","206800K .......... .......... .......... .......... .......... 97% 27,9M 1s\n","206850K .......... .......... .......... .......... .......... 97%  425M 1s\n","206900K .......... .......... .......... .......... .......... 97%  524M 1s\n","206950K .......... .......... .......... .......... .......... 97%  614M 1s\n","207000K .......... .......... .......... .......... .......... 97% 3,21M 1s\n","207050K .......... .......... .......... .......... .......... 97%  400M 1s\n","207100K .......... .......... .......... .......... .......... 97%  238M 1s\n","207150K .......... .......... .......... .......... .......... 97% 14,1M 1s\n","207200K .......... .......... .......... .......... .......... 97%  428M 1s\n","207250K .......... .......... .......... .......... .......... 97%  456M 1s\n","207300K .......... .......... .......... .......... .......... 98% 25,8M 1s\n","207350K .......... .......... .......... .......... .......... 98%  220M 1s\n","207400K .......... .......... .......... .......... .......... 98%  460M 1s\n","207450K .......... .......... .......... .......... .......... 98%  604M 1s\n","207500K .......... .......... .......... .......... .......... 98%  138M 1s\n","207550K .......... .......... .......... .......... .......... 98%  535M 1s\n","207600K .......... .......... .......... .......... .......... 98% 13,9M 1s\n","207650K .......... .......... .......... .......... .......... 98%  362M 1s\n","207700K .......... .......... .......... .......... .......... 98%  541M 1s\n","207750K .......... .......... .......... .......... .......... 98% 61,1M 1s\n","207800K .......... .......... .......... .......... .......... 98%  460M 1s\n","207850K .......... .......... .......... .......... .......... 98%  830K 1s\n","207900K .......... .......... .......... .......... .......... 98% 35,8M 1s\n","207950K .......... .......... .......... .......... .......... 98%  663M 1s\n","208000K .......... .......... .......... .......... .......... 98%  457K 1s\n","208050K .......... .......... .......... .......... .......... 98%  211M 1s\n","208100K .......... .......... .......... .......... .......... 98%  538M 1s\n","208150K .......... .......... .......... .......... .......... 98% 31,0M 1s\n","208200K .......... .......... .......... .......... .......... 98%  387M 1s\n","208250K .......... .......... .......... .......... .......... 98%  411M 1s\n","208300K .......... .......... .......... .......... .......... 98%  632M 1s\n","208350K .......... .......... .......... .......... .......... 98% 32,8M 1s\n","208400K .......... .......... .......... .......... .......... 98%  150M 1s\n","208450K .......... .......... .......... .......... .......... 98% 6,59M 1s\n","208500K .......... .......... .......... .......... .......... 98% 54,0M 1s\n","208550K .......... .......... .......... .......... .......... 98% 2,19M 1s\n","208600K .......... .......... .......... .......... .......... 98% 22,7M 1s\n","208650K .......... .......... .......... .......... .......... 98%  429M 1s\n","208700K .......... .......... .......... .......... .......... 98%  550M 1s\n","208750K .......... .......... .......... .......... .......... 98%  122M 0s\n","208800K .......... .......... .......... .......... .......... 98%  362M 0s\n","208850K .......... .......... .......... .......... .......... 98% 4,26M 0s\n","208900K .......... .......... .......... .......... .......... 98%  402M 0s\n","208950K .......... .......... .......... .......... .......... 98%  273M 0s\n","209000K .......... .......... .......... .......... .......... 98%  386M 0s\n","209050K .......... .......... .......... .......... .......... 98% 3,87M 0s\n","209100K .......... .......... .......... .......... .......... 98%  249M 0s\n","209150K .......... .......... .......... .......... .......... 98%  161M 0s\n","209200K .......... .......... .......... .......... .......... 98%  313M 0s\n","209250K .......... .......... .......... .......... .......... 98%  365M 0s\n","209300K .......... .......... .......... .......... .......... 98%  407M 0s\n","209350K .......... .......... .......... .......... .......... 98%  491M 0s\n","209400K .......... .......... .......... .......... .......... 98% 5,26M 0s\n","209450K .......... .......... .......... .......... .......... 99%  123M 0s\n","209500K .......... .......... .......... .......... .......... 99%  494M 0s\n","209550K .......... .......... .......... .......... .......... 99%  784M 0s\n","209600K .......... .......... .......... .......... .......... 99% 5,70M 0s\n","209650K .......... .......... .......... .......... .......... 99%  300M 0s\n","209700K .......... .......... .......... .......... .......... 99%  505M 0s\n","209750K .......... .......... .......... .......... .......... 99% 18,9M 0s\n","209800K .......... .......... .......... .......... .......... 99%  500M 0s\n","209850K .......... .......... .......... .......... .......... 99% 4,34M 0s\n","209900K .......... .......... .......... .......... .......... 99%  117M 0s\n","209950K .......... .......... .......... .......... .......... 99% 1,34M 0s\n","210000K .......... .......... .......... .......... .......... 99%  621K 0s\n","210050K .......... .......... .......... .......... .......... 99%  762M 0s\n","210100K .......... .......... .......... .......... .......... 99% 35,8M 0s\n","210150K .......... .......... .......... .......... .......... 99%  318M 0s\n","210200K .......... .......... .......... .......... .......... 99%  486M 0s\n","210250K .......... .......... .......... .......... .......... 99% 6,84M 0s\n","210300K .......... .......... .......... .......... .......... 99% 29,4M 0s\n","210350K .......... .......... .......... .......... .......... 99%  195M 0s\n","210400K .......... .......... .......... .......... .......... 99%  277M 0s\n","210450K .......... .......... .......... .......... .......... 99% 7,48M 0s\n","210500K .......... .......... .......... .......... .......... 99%  421M 0s\n","210550K .......... .......... .......... .......... .......... 99%  910K 0s\n","210600K .......... .......... .......... .......... .......... 99% 3,73M 0s\n","210650K .......... .......... .......... .......... .......... 99%  189M 0s\n","210700K .......... .......... .......... .......... .......... 99%  522M 0s\n","210750K .......... .......... .......... .......... .......... 99%  552M 0s\n","210800K .......... .......... .......... .......... .......... 99% 5,13M 0s\n","210850K .......... .......... .......... .......... .......... 99%  169M 0s\n","210900K .......... .......... .......... .......... .......... 99%  233M 0s\n","210950K .......... .......... .......... .......... .......... 99%  492M 0s\n","211000K .......... .......... .......... .......... .......... 99%  422M 0s\n","211050K .......... .......... .......... .......... .......... 99% 7,09M 0s\n","211100K .......... .......... .......... .......... .......... 99%  374M 0s\n","211150K .......... .......... .......... .......... .......... 99%  739M 0s\n","211200K .......... .......... .......... .......... .......... 99% 8,62M 0s\n","211250K .......... .......... .......... .......... .......... 99%  418M 0s\n","211300K .......... .......... .......... .......... .......... 99%  364M 0s\n","211350K .......... .......... .......... .......... .......... 99%  644M 0s\n","211400K .......... .......... .......... .......... .......... 99% 32,7M 0s\n","211450K .......... .......... .......... .......... .......... 99%  231M 0s\n","211500K .......... .......... .......... .......... .......... 99%  537M 0s\n","211550K .......... .......... ..                              100%  791M=38s\n","\n","2024-02-13 16:17:00 (5,46 MB/s) - 'drkg/drkg.tar.gz.1' saved [216650245/216650245]\n","\n"]}],"source":["!wget -P drkg/ https://dgl-data.s3-us-west-2.amazonaws.com/dataset/DRKG/drkg.tar.gz"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":8254,"status":"ok","timestamp":1701799840600,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"bR3TwW-5YGjw"},"outputs":[],"source":["# Replace 'your_file.tar.gz' with the actual file name\n","file_path = './drkg/drkg.tar.gz'\n","\n","# Open the tar file\n","with tarfile.open(file_path, 'r:gz') as tar:\n","    # Extract all contents to the current working directory\n","    tar.extractall(\"./drkg\")"]},{"cell_type":"code","execution_count":7,"metadata":{"executionInfo":{"elapsed":4925,"status":"ok","timestamp":1701799845994,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"n12T5LSEYcel"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>bioarx::HumGenHumGen:Gene:Gene</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Gene::2157</td>\n","      <td>bioarx::HumGenHumGen:Gene:Gene</td>\n","      <td>Gene::5264</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Gene::2157</td>\n","      <td>bioarx::HumGenHumGen:Gene:Gene</td>\n","      <td>Gene::2158</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Gene::2157</td>\n","      <td>bioarx::HumGenHumGen:Gene:Gene</td>\n","      <td>Gene::3309</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Gene::2157</td>\n","      <td>bioarx::HumGenHumGen:Gene:Gene</td>\n","      <td>Gene::28912</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Gene::2157</td>\n","      <td>bioarx::HumGenHumGen:Gene:Gene</td>\n","      <td>Gene::811</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Gene::2157</td>\n","      <td>bioarx::HumGenHumGen:Gene:Gene</td>\n","      <td>Gene::2159</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Gene::2157</td>\n","      <td>bioarx::HumGenHumGen:Gene:Gene</td>\n","      <td>Gene::821</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Gene::2157</td>\n","      <td>bioarx::HumGenHumGen:Gene:Gene</td>\n","      <td>Gene::5627</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>Gene::2157</td>\n","      <td>bioarx::HumGenHumGen:Gene:Gene</td>\n","      <td>Gene::5624</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>Gene::2157</td>\n","      <td>bioarx::HumGenHumGen:Gene:Gene</td>\n","      <td>Gene::2147</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Gene::2157  bioarx::HumGenHumGen:Gene:Gene Gene::2157.1\n","0  Gene::2157  bioarx::HumGenHumGen:Gene:Gene   Gene::5264\n","1  Gene::2157  bioarx::HumGenHumGen:Gene:Gene   Gene::2158\n","2  Gene::2157  bioarx::HumGenHumGen:Gene:Gene   Gene::3309\n","3  Gene::2157  bioarx::HumGenHumGen:Gene:Gene  Gene::28912\n","4  Gene::2157  bioarx::HumGenHumGen:Gene:Gene    Gene::811\n","5  Gene::2157  bioarx::HumGenHumGen:Gene:Gene   Gene::2159\n","6  Gene::2157  bioarx::HumGenHumGen:Gene:Gene    Gene::821\n","7  Gene::2157  bioarx::HumGenHumGen:Gene:Gene   Gene::5627\n","8  Gene::2157  bioarx::HumGenHumGen:Gene:Gene   Gene::5624\n","9  Gene::2157  bioarx::HumGenHumGen:Gene:Gene   Gene::2147"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["drkg = pd.read_csv('./drkg/drkg.tsv', sep='\\t')\n","drkg.head(10)"]},{"cell_type":"markdown","metadata":{"id":"OibjW5I2X7N6"},"source":["## DRKG MetaGraph\n","![image.png](data:image/png;base64,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)"]},{"cell_type":"markdown","metadata":{},"source":["### Relation Types in DRKG"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":370,"status":"ok","timestamp":1701799846352,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"dgnkCkvcYyBO","outputId":"9453eb72-e471-415e-afaa-3862b3c38e68"},"outputs":[{"data":{"text/plain":["array(['bioarx::HumGenHumGen:Gene:Gene', 'bioarx::VirGenHumGen:Gene:Gene',\n","       'bioarx::DrugVirGen:Compound:Gene',\n","       'bioarx::DrugHumGen:Compound:Gene',\n","       'bioarx::Covid2_acc_host_gene::Disease:Gene',\n","       'bioarx::Coronavirus_ass_host_gene::Disease:Gene',\n","       'DGIDB::INHIBITOR::Gene:Compound',\n","       'DGIDB::ANTAGONIST::Gene:Compound', 'DGIDB::OTHER::Gene:Compound',\n","       'DGIDB::AGONIST::Gene:Compound', 'DGIDB::BINDER::Gene:Compound',\n","       'DGIDB::MODULATOR::Gene:Compound', 'DGIDB::BLOCKER::Gene:Compound',\n","       'DGIDB::CHANNEL BLOCKER::Gene:Compound',\n","       'DGIDB::ANTIBODY::Gene:Compound',\n","       'DGIDB::POSITIVE ALLOSTERIC MODULATOR::Gene:Compound',\n","       'DGIDB::ALLOSTERIC MODULATOR::Gene:Compound',\n","       'DGIDB::ACTIVATOR::Gene:Compound',\n","       'DGIDB::PARTIAL AGONIST::Gene:Compound',\n","       'DRUGBANK::x-atc::Compound:Atc',\n","       'DRUGBANK::ddi-interactor-in::Compound:Compound',\n","       'DRUGBANK::target::Compound:Gene',\n","       'DRUGBANK::enzyme::Compound:Gene',\n","       'DRUGBANK::carrier::Compound:Gene',\n","       'DRUGBANK::treats::Compound:Disease', 'GNBR::E::Compound:Gene',\n","       'GNBR::A+::Compound:Gene', 'GNBR::N::Compound:Gene',\n","       'GNBR::K::Compound:Gene', 'GNBR::A-::Compound:Gene',\n","       'GNBR::E+::Compound:Gene', 'GNBR::B::Compound:Gene',\n","       'GNBR::E-::Compound:Gene', 'GNBR::O::Compound:Gene',\n","       'GNBR::Z::Compound:Gene', 'GNBR::T::Compound:Disease',\n","       'GNBR::C::Compound:Disease', 'GNBR::Sa::Compound:Disease',\n","       'GNBR::Pa::Compound:Disease', 'GNBR::Mp::Compound:Disease',\n","       'GNBR::Pr::Compound:Disease', 'GNBR::J::Compound:Disease',\n","       'GNBR::L::Gene:Disease', 'GNBR::U::Gene:Disease',\n","       'GNBR::Y::Gene:Disease', 'GNBR::J::Gene:Disease',\n","       'GNBR::Te::Gene:Disease', 'GNBR::Md::Gene:Disease',\n","       'GNBR::G::Gene:Disease', 'GNBR::D::Gene:Disease',\n","       'GNBR::X::Gene:Disease', 'GNBR::Ud::Gene:Disease',\n","       'GNBR::V+::Gene:Gene', 'GNBR::Q::Gene:Gene', 'GNBR::Rg::Gene:Gene',\n","       'GNBR::B::Gene:Gene', 'GNBR::I::Gene:Gene', 'GNBR::E+::Gene:Gene',\n","       'GNBR::H::Gene:Gene', 'GNBR::W::Gene:Gene', 'GNBR::E::Gene:Gene',\n","       'GNBR::in_tax::Gene:Tax',\n","       'Hetionet::GpBP::Gene:Biological Process',\n","       'Hetionet::GiG::Gene:Gene', 'Hetionet::CrC::Compound:Compound',\n","       'Hetionet::DdG::Disease:Gene', 'Hetionet::DpS::Disease:Symptom',\n","       'Hetionet::DlA::Disease:Anatomy',\n","       'Hetionet::CtD::Compound:Disease', 'Hetionet::CbG::Compound:Gene',\n","       'Hetionet::CuG::Compound:Gene', 'Hetionet::DrD::Disease:Disease',\n","       'Hetionet::DaG::Disease:Gene', 'Hetionet::CpD::Compound:Disease',\n","       'Hetionet::AdG::Anatomy:Gene', 'Hetionet::AuG::Anatomy:Gene',\n","       'Hetionet::GcG::Gene:Gene',\n","       'Hetionet::GpMF::Gene:Molecular Function',\n","       'Hetionet::PCiC::Pharmacologic Class:Compound',\n","       'Hetionet::GpCC::Gene:Cellular Component',\n","       'Hetionet::Gr>G::Gene:Gene', 'Hetionet::CdG::Compound:Gene',\n","       'Hetionet::DuG::Disease:Gene', 'Hetionet::GpPW::Gene:Pathway',\n","       'Hetionet::CcSE::Compound:Side Effect',\n","       'Hetionet::AeG::Anatomy:Gene',\n","       'INTACT::PHYSICAL ASSOCIATION::Compound:Gene',\n","       'INTACT::DIRECT INTERACTION::Compound:Gene',\n","       'INTACT::ASSOCIATION::Compound:Gene',\n","       'INTACT::ASSOCIATION::Gene:Gene',\n","       'INTACT::PHYSICAL ASSOCIATION::Gene:Gene',\n","       'INTACT::COLOCALIZATION::Gene:Gene',\n","       'INTACT::DEPHOSPHORYLATION REACTION::Gene:Gene',\n","       'INTACT::CLEAVAGE REACTION::Gene:Gene',\n","       'INTACT::DIRECT INTERACTION::Gene:Gene',\n","       'INTACT::PHOSPHORYLATION REACTION::Gene:Gene',\n","       'INTACT::ADP RIBOSYLATION REACTION::Gene:Gene',\n","       'INTACT::UBIQUITINATION REACTION::Gene:Gene',\n","       'INTACT::PROTEIN CLEAVAGE::Gene:Gene',\n","       'STRING::REACTION::Gene:Gene', 'STRING::CATALYSIS::Gene:Gene',\n","       'STRING::ACTIVATION::Gene:Gene', 'STRING::INHIBITION::Gene:Gene',\n","       'STRING::OTHER::Gene:Gene', 'STRING::BINDING::Gene:Gene',\n","       'STRING::PTMOD::Gene:Gene', 'STRING::EXPRESSION::Gene:Gene'],\n","      dtype=object)"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["drkg['bioarx::HumGenHumGen:Gene:Gene'].unique()"]},{"cell_type":"markdown","metadata":{"id":"9MrRZnNIeDpd"},"source":["## Extraction Disease-Symptom Subgraph"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":21,"status":"ok","timestamp":1701166479150,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"SQpCv9Z8ZLRD","outputId":"6f06609b-5e66-4975-b473-190148a86305"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>bioarx::HumGenHumGen:Gene:Gene</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2591981</th>\n","      <td>Disease::MESH:D017544</td>\n","      <td>Hetionet::DpS::Disease:Symptom</td>\n","      <td>Symptom::D007383</td>\n","    </tr>\n","    <tr>\n","      <th>2591982</th>\n","      <td>Disease::MESH:D009373</td>\n","      <td>Hetionet::DpS::Disease:Symptom</td>\n","      <td>Symptom::D021501</td>\n","    </tr>\n","    <tr>\n","      <th>2591983</th>\n","      <td>Disease::MESH:D001172</td>\n","      <td>Hetionet::DpS::Disease:Symptom</td>\n","      <td>Symptom::D010146</td>\n","    </tr>\n","    <tr>\n","      <th>2591984</th>\n","      <td>Disease::MESH:D001932</td>\n","      <td>Hetionet::DpS::Disease:Symptom</td>\n","      <td>Symptom::D013064</td>\n","    </tr>\n","    <tr>\n","      <th>2591985</th>\n","      <td>Disease::MESH:D008175</td>\n","      <td>Hetionet::DpS::Disease:Symptom</td>\n","      <td>Symptom::D003248</td>\n","    </tr>\n","    <tr>\n","      <th>2591986</th>\n","      <td>Disease::MESH:C562840</td>\n","      <td>Hetionet::DpS::Disease:Symptom</td>\n","      <td>Symptom::D059373</td>\n","    </tr>\n","    <tr>\n","      <th>2591987</th>\n","      <td>Disease::MESH:D018317</td>\n","      <td>Hetionet::DpS::Disease:Symptom</td>\n","      <td>Symptom::D009437</td>\n","    </tr>\n","    <tr>\n","      <th>2591988</th>\n","      <td>Disease::MESH:D007580</td>\n","      <td>Hetionet::DpS::Disease:Symptom</td>\n","      <td>Symptom::D006396</td>\n","    </tr>\n","    <tr>\n","      <th>2591989</th>\n","      <td>Disease::MESH:D009373</td>\n","      <td>Hetionet::DpS::Disease:Symptom</td>\n","      <td>Symptom::D004433</td>\n","    </tr>\n","    <tr>\n","      <th>2591990</th>\n","      <td>Disease::MESH:D008479</td>\n","      <td>Hetionet::DpS::Disease:Symptom</td>\n","      <td>Symptom::D006732</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                    Gene::2157  bioarx::HumGenHumGen:Gene:Gene  \\\n","2591981  Disease::MESH:D017544  Hetionet::DpS::Disease:Symptom   \n","2591982  Disease::MESH:D009373  Hetionet::DpS::Disease:Symptom   \n","2591983  Disease::MESH:D001172  Hetionet::DpS::Disease:Symptom   \n","2591984  Disease::MESH:D001932  Hetionet::DpS::Disease:Symptom   \n","2591985  Disease::MESH:D008175  Hetionet::DpS::Disease:Symptom   \n","2591986  Disease::MESH:C562840  Hetionet::DpS::Disease:Symptom   \n","2591987  Disease::MESH:D018317  Hetionet::DpS::Disease:Symptom   \n","2591988  Disease::MESH:D007580  Hetionet::DpS::Disease:Symptom   \n","2591989  Disease::MESH:D009373  Hetionet::DpS::Disease:Symptom   \n","2591990  Disease::MESH:D008479  Hetionet::DpS::Disease:Symptom   \n","\n","             Gene::2157.1  \n","2591981  Symptom::D007383  \n","2591982  Symptom::D021501  \n","2591983  Symptom::D010146  \n","2591984  Symptom::D013064  \n","2591985  Symptom::D003248  \n","2591986  Symptom::D059373  \n","2591987  Symptom::D009437  \n","2591988  Symptom::D006396  \n","2591989  Symptom::D004433  \n","2591990  Symptom::D006732  "]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["drkg_dis_symp = drkg[drkg['bioarx::HumGenHumGen:Gene:Gene'] == 'Hetionet::DpS::Disease:Symptom']\n","drkg_dis_symp.head(10)"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":256,"status":"ok","timestamp":1701166484536,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"xqgTmYrMmXup","outputId":"d85600e5-88fe-4d1d-8149-1fe1d414c1c2"},"outputs":[{"name":"stderr","output_type":"stream","text":["C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\3716405592.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_symp[col] = drkg_dis_symp[col].apply(lambda x: x.split('::')[2] if '::' in str(x) and len(x.split('::')) > 2 else x)\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\3716405592.py:5: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_symp.drop('bioarx::HumGenHumGen:Gene:Gene', axis=1, inplace=True)\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2591981</th>\n","      <td>Disease::MESH:D017544</td>\n","      <td>Symptom::D007383</td>\n","    </tr>\n","    <tr>\n","      <th>2591982</th>\n","      <td>Disease::MESH:D009373</td>\n","      <td>Symptom::D021501</td>\n","    </tr>\n","    <tr>\n","      <th>2591983</th>\n","      <td>Disease::MESH:D001172</td>\n","      <td>Symptom::D010146</td>\n","    </tr>\n","    <tr>\n","      <th>2591984</th>\n","      <td>Disease::MESH:D001932</td>\n","      <td>Symptom::D013064</td>\n","    </tr>\n","    <tr>\n","      <th>2591985</th>\n","      <td>Disease::MESH:D008175</td>\n","      <td>Symptom::D003248</td>\n","    </tr>\n","    <tr>\n","      <th>2591986</th>\n","      <td>Disease::MESH:C562840</td>\n","      <td>Symptom::D059373</td>\n","    </tr>\n","    <tr>\n","      <th>2591987</th>\n","      <td>Disease::MESH:D018317</td>\n","      <td>Symptom::D009437</td>\n","    </tr>\n","    <tr>\n","      <th>2591988</th>\n","      <td>Disease::MESH:D007580</td>\n","      <td>Symptom::D006396</td>\n","    </tr>\n","    <tr>\n","      <th>2591989</th>\n","      <td>Disease::MESH:D009373</td>\n","      <td>Symptom::D004433</td>\n","    </tr>\n","    <tr>\n","      <th>2591990</th>\n","      <td>Disease::MESH:D008479</td>\n","      <td>Symptom::D006732</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                    Gene::2157      Gene::2157.1\n","2591981  Disease::MESH:D017544  Symptom::D007383\n","2591982  Disease::MESH:D009373  Symptom::D021501\n","2591983  Disease::MESH:D001172  Symptom::D010146\n","2591984  Disease::MESH:D001932  Symptom::D013064\n","2591985  Disease::MESH:D008175  Symptom::D003248\n","2591986  Disease::MESH:C562840  Symptom::D059373\n","2591987  Disease::MESH:D018317  Symptom::D009437\n","2591988  Disease::MESH:D007580  Symptom::D006396\n","2591989  Disease::MESH:D009373  Symptom::D004433\n","2591990  Disease::MESH:D008479  Symptom::D006732"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["# Preprocessing DRKG Disease-Symptom data\n","for col in drkg_dis_symp.columns:\n","    drkg_dis_symp[col] = drkg_dis_symp[col].apply(lambda x: x.split('::')[2] if '::' in str(x) and len(x.split('::')) > 2 else x)\n","\n","drkg_dis_symp.drop('bioarx::HumGenHumGen:Gene:Gene', axis=1, inplace=True)\n","drkg_dis_symp.head(10)"]},{"cell_type":"code","execution_count":26,"metadata":{"id":"Rt7sN1SCvd75"},"outputs":[{"name":"stderr","output_type":"stream","text":["C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\1196323482.py:2: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_symp['Gene::2157'] = drkg_dis_symp['Gene::2157'].apply(lambda x: x.split('::')[-1])\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\1196323482.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_symp['Gene::2157'] = drkg_dis_symp['Gene::2157'].apply(lambda x: x.split(':')[-1])\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\1196323482.py:4: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_symp['Gene::2157.1'] = drkg_dis_symp['Gene::2157.1'].apply(lambda x: x.split('::')[-1])\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2591981</th>\n","      <td>D017544</td>\n","      <td>D007383</td>\n","    </tr>\n","    <tr>\n","      <th>2591982</th>\n","      <td>D009373</td>\n","      <td>D021501</td>\n","    </tr>\n","    <tr>\n","      <th>2591983</th>\n","      <td>D001172</td>\n","      <td>D010146</td>\n","    </tr>\n","    <tr>\n","      <th>2591984</th>\n","      <td>D001932</td>\n","      <td>D013064</td>\n","    </tr>\n","    <tr>\n","      <th>2591985</th>\n","      <td>D008175</td>\n","      <td>D003248</td>\n","    </tr>\n","    <tr>\n","      <th>2591986</th>\n","      <td>C562840</td>\n","      <td>D059373</td>\n","    </tr>\n","    <tr>\n","      <th>2591987</th>\n","      <td>D018317</td>\n","      <td>D009437</td>\n","    </tr>\n","    <tr>\n","      <th>2591988</th>\n","      <td>D007580</td>\n","      <td>D006396</td>\n","    </tr>\n","    <tr>\n","      <th>2591989</th>\n","      <td>D009373</td>\n","      <td>D004433</td>\n","    </tr>\n","    <tr>\n","      <th>2591990</th>\n","      <td>D008479</td>\n","      <td>D006732</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["        Gene::2157 Gene::2157.1\n","2591981    D017544      D007383\n","2591982    D009373      D021501\n","2591983    D001172      D010146\n","2591984    D001932      D013064\n","2591985    D008175      D003248\n","2591986    C562840      D059373\n","2591987    D018317      D009437\n","2591988    D007580      D006396\n","2591989    D009373      D004433\n","2591990    D008479      D006732"]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["# Modifica il DataFrame\n","drkg_dis_symp['Gene::2157'] = drkg_dis_symp['Gene::2157'].apply(lambda x: x.split('::')[-1])\n","drkg_dis_symp['Gene::2157'] = drkg_dis_symp['Gene::2157'].apply(lambda x: x.split(':')[-1])\n","drkg_dis_symp['Gene::2157.1'] = drkg_dis_symp['Gene::2157.1'].apply(lambda x: x.split('::')[-1])\n","\n","drkg_dis_symp.head(10)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":908141,"status":"ok","timestamp":1701167401262,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"4WWQ_laGzUQT","outputId":"b0d17877-1ba9-4d81-ea37-16555b1e1a0e"},"outputs":[{"name":"stderr","output_type":"stream","text":["Conversione: 100%|██████████| 3357/3357 [15:08<00:00,  3.70it/s]\n"]}],"source":["session = requests.Session()\n","\n","def converti_mesh_in_icd9cm(codice_mesh, api_key):\n","    url = f\"https://uts-ws.nlm.nih.gov/rest/crosswalk/current/source/MSH/{codice_mesh}?targetSource=ICD9CM&apiKey={api_key}\"\n","\n","    response = session.get(url)\n","\n","    if response.status_code == 200:\n","        data = json.loads(response.text)\n","        codici_icd9cm = [risultato[\"ui\"] for risultato in data[\"result\"]]\n","        # Prendi solo il primo risultato se ce ne sono più di uno\n","        return codici_icd9cm[0] if codici_icd9cm else None\n","    else:\n","        print(f\"Errore nella chiamata API: {response.status_code}\")\n","        return None\n","\n","# Chiave API\n","api_key = \"5ffff450-2c43-4fcd-808f-158cf91f14d2\"  # Sostituisci con la tua chiave API\n","\n","# Applica la conversione solo alle colonne specificate\n","for indice, riga in tqdm(drkg_dis_symp.iterrows(), total=len(drkg_dis_symp), desc=\"Conversione\"):\n","    codice_mesh_1 = riga[\"Gene::2157\"]\n","    codice_mesh_2 = riga[\"Gene::2157.1\"]\n","\n","    if isinstance(codice_mesh_1, str):\n","        codice_icd9cm_1 = converti_mesh_in_icd9cm(codice_mesh_1, api_key)\n","        drkg_dis_symp.at[indice, \"Gene::2157\"] = codice_icd9cm_1 if codice_icd9cm_1 else \"\"\n","\n","    if isinstance(codice_mesh_2, str):\n","        codice_icd9cm_2 = converti_mesh_in_icd9cm(codice_mesh_2, api_key)\n","        drkg_dis_symp.at[indice, \"Gene::2157.1\"] = codice_icd9cm_2 if codice_icd9cm_2 else \"\""]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":269,"status":"ok","timestamp":1701168846009,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"AuoeiO389W2P","outputId":"6e7baec9-642f-4cfa-da3e-9a1979c0aee2"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-5ae559cf-7732-4176-a834-c46605345f27\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2591981</th>\n","      <td></td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2591982</th>\n","      <td></td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2591983</th>\n","      <td>714.0</td>\n","      <td>338-338.99</td>\n","    </tr>\n","    <tr>\n","      <th>2591984</th>\n","      <td>239.6</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2591985</th>\n","      <td></td>\n","      <td>564.00</td>\n","    </tr>\n","    <tr>\n","      <th>2591986</th>\n","      <td></td>\n","      <td>611.71</td>\n","    </tr>\n","    <tr>\n","      <th>2591987</th>\n","      <td></td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2591988</th>\n","      <td>152.1</td>\n","      <td>578.0</td>\n","    </tr>\n","    <tr>\n","      <th>2591989</th>\n","      <td></td>\n","      <td>388.7</td>\n","    </tr>\n","    <tr>\n","      <th>2591990</th>\n","      <td>164.9</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2591991</th>\n","      <td></td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2591992</th>\n","      <td>030.9</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2591993</th>\n","      <td>161.9</td>\n","      <td>786.05</td>\n","    </tr>\n","    <tr>\n","      <th>2591994</th>\n","      <td>239.6</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2591995</th>\n","      <td>295</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2591996</th>\n","      <td>151.9</td>\n","      <td>787.1</td>\n","    </tr>\n","    <tr>\n","      <th>2591997</th>\n","      <td>340</td>\n","      <td>333.4</td>\n","    </tr>\n","    <tr>\n","      <th>2591998</th>\n","      <td>149.0</td>\n","      <td>388.2</td>\n","    </tr>\n","    <tr>\n","      <th>2591999</th>\n","      <td>585.9</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592000</th>\n","      <td>295</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592001</th>\n","      <td>142.9</td>\n","      <td>781.94</td>\n","    </tr>\n","    <tr>\n","      <th>2592002</th>\n","      <td></td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592003</th>\n","      <td>030.9</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592004</th>\n","      <td>136.1</td>\n","      <td>596.54</td>\n","    </tr>\n","    <tr>\n","      <th>2592005</th>\n","      <td>345.9</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592006</th>\n","      <td></td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592007</th>\n","      <td></td>\n","      <td>344.1</td>\n","    </tr>\n","    <tr>\n","      <th>2592008</th>\n","      <td>710.0</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592009</th>\n","      <td>164.9</td>\n","      <td>786.30</td>\n","    </tr>\n","    <tr>\n","      <th>2592010</th>\n","      <td></td>\n","      <td>786.05</td>\n","    </tr>\n","    <tr>\n","      <th>2592011</th>\n","      <td>307.23</td>\n","      <td>796.1</td>\n","    </tr>\n","    <tr>\n","      <th>2592012</th>\n","      <td></td>\n","      <td>786.50</td>\n","    </tr>\n","    <tr>\n","      <th>2592013</th>\n","      <td>523.4</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592014</th>\n","      <td>410-414.99</td>\n","      <td>327.23</td>\n","    </tr>\n","    <tr>\n","      <th>2592015</th>\n","      <td>577.0</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592016</th>\n","      <td>340</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592017</th>\n","      <td></td>\n","      <td>780.60</td>\n","    </tr>\n","    <tr>\n","      <th>2592018</th>\n","      <td>305.1</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592019</th>\n","      <td></td>\n","      <td>789.7</td>\n","    </tr>\n","    <tr>\n","      <th>2592020</th>\n","      <td></td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592021</th>\n","      <td></td>\n","      <td>389.1</td>\n","    </tr>\n","    <tr>\n","      <th>2592022</th>\n","      <td></td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>2592023</th>\n","      <td>149.0</td>\n","      <td>389.0</td>\n","    </tr>\n","    <tr>\n","      <th>2592024</th>\n","      <td>331.0</td>\n","      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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-c17bbacb-faba-475e-a020-1132cb6bb960\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c17bbacb-faba-475e-a020-1132cb6bb960')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-c17bbacb-faba-475e-a020-1132cb6bb960 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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\n","2592004       136.1       596.54\n","2592005       345.9             \n","2592006                         \n","2592007                    344.1\n","2592008       710.0             \n","2592009       164.9       786.30\n","2592010                   786.05\n","2592011      307.23        796.1\n","2592012                   786.50\n","2592013       523.4             \n","2592014  410-414.99       327.23\n","2592015       577.0             \n","2592016         340             \n","2592017                   780.60\n","2592018       305.1             \n","2592019                    789.7\n","2592020                         \n","2592021                    389.1\n","2592022                         \n","2592023       149.0        389.0\n","2592024       331.0             \n","2592025       151.9             \n","2592026                         \n","2592027                    789.7\n","2592028       136.1             \n","2592029                         \n","2592030       714.0             "]},"execution_count":47,"metadata":{},"output_type":"execute_result"}],"source":["drkg_dis_symp.head(10)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"BxSQgrv5fvod"},"outputs":[],"source":["drkg_dis_symp_final = drkg_dis_symp[drkg_dis_symp['Gene::2157'] != \"\"]\n","drkg_dis_symp_final = drkg_dis_symp_final[drkg_dis_symp_final['Gene::2157.1'] != \"\"]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":285,"status":"ok","timestamp":1701168851971,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"oxr-umzQa3Zv","outputId":"7401a455-311e-4ebf-da79-68546dd4d0cc"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-8f6fa8c7-3669-4571-a4be-7f56d7c06eb8\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th 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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-9cae0d69-b4d3-410e-a188-a1c0dc82cd2a\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9cae0d69-b4d3-410e-a188-a1c0dc82cd2a')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-9cae0d69-b4d3-410e-a188-a1c0dc82cd2a button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["        Gene::2157 Gene::2157.1\n","2591983      714.0   338-338.99\n","2591988      152.1        578.0\n","2591993      161.9       786.05\n","2591996      151.9        787.1\n","2591997        340        333.4\n","...            ...          ...\n","2595326      556.9       789.00\n","2595329        179       789.00\n","2595331        295   317-319.99\n","2595332      710.0        287.0\n","2595337      332.0       327.42\n","\n","[873 rows x 2 columns]"]},"execution_count":49,"metadata":{},"output_type":"execute_result"}],"source":["drkg_dis_symp_final.head(10)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"OHkuT0xkfRAK"},"outputs":[],"source":["# Dividere la colonna 'Gene::2157' usando il trattino e ottenere la prima parte\n","drkg_dis_symp_final['Gene::2157'] = drkg_dis_symp_final['Gene::2157'].str.split('-', expand=True)[0]\n","\n","# Dividere la colonna 'Gene::2157.1' usando il trattino e ottenere la prima parte\n","drkg_dis_symp_final['Gene::2157.1'] = drkg_dis_symp_final['Gene::2157.1'].str.split('-', expand=True)[0]\n","\n","drkg_dis_symp_final.head(10)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"executionInfo":{"elapsed":14,"status":"ok","timestamp":1701169141866,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"h-KdD6o1kyHz","outputId":"334e3a44-c57f-4688-a3f5-06bea29c386a"},"outputs":[{"name":"stderr","output_type":"stream","text":["<ipython-input-53-a8d453d3e02b>:2: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n","  df_DS_filtered['Gene::2157'] = df_DS_filtered['Gene::2157'].str.replace('.', '')\n","<ipython-input-53-a8d453d3e02b>:3: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n","  df_DS_filtered['Gene::2157.1'] = df_DS_filtered['Gene::2157.1'].str.replace('.', '')\n"]},{"data":{"text/html":["\n","  <div id=\"df-29b08fc0-c249-4709-9295-89f37db00443\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2591983</th>\n","      <td>7140</td>\n","      <td>338</td>\n","    </tr>\n","    <tr>\n","      <th>2591988</th>\n","      <td>1521</td>\n","      <td>5780</td>\n","    </tr>\n","    <tr>\n","      <th>2591993</th>\n","      <td>1619</td>\n","      <td>78605</td>\n","    </tr>\n","    <tr>\n","      <th>2591996</th>\n","      <td>1519</td>\n","      <td>7871</td>\n","    </tr>\n","    <tr>\n","      <th>2591997</th>\n","      <td>340</td>\n","      <td>3334</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2595326</th>\n","      <td>5569</td>\n","      <td>78900</td>\n","    </tr>\n","    <tr>\n","      <th>2595329</th>\n","      <td>179</td>\n","      <td>78900</td>\n","    </tr>\n","    <tr>\n","      <th>2595331</th>\n","      <td>295</td>\n","      <td>317</td>\n","    </tr>\n","    <tr>\n","      <th>2595332</th>\n","      <td>7100</td>\n","      <td>2870</td>\n","    </tr>\n","    <tr>\n","      <th>2595337</th>\n","      <td>3320</td>\n","      <td>32742</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>873 rows × 2 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-29b08fc0-c249-4709-9295-89f37db00443')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-29b08fc0-c249-4709-9295-89f37db00443 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-bbbc28dd-7809-4777-b875-b2ee26154e6c\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-bbbc28dd-7809-4777-b875-b2ee26154e6c')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-bbbc28dd-7809-4777-b875-b2ee26154e6c button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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'')\n","\n","drkg_dis_symp_final.head(10)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"xwnUaBW1lRaI"},"outputs":[],"source":["drkg_dis_symp_final.to_csv('./static_kg/DIAG_SYMP.csv', sep=\",\")"]},{"cell_type":"markdown","metadata":{"id":"gCNbmgKrrZ_U"},"source":["## Extraction Drug-Disease Subgraph"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":400,"status":"ok","timestamp":1701799847226,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"oySPbGAMrZ_W","outputId":"f5c05d92-0256-4e86-ac94-167c9eedc174"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>bioarx::HumGenHumGen:Gene:Gene</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1518267</th>\n","      <td>Compound::DB00003</td>\n","      <td>DRUGBANK::treats::Compound:Disease</td>\n","      <td>Disease::MESH:D003550</td>\n","    </tr>\n","    <tr>\n","      <th>1518268</th>\n","      <td>Compound::DB00004</td>\n","      <td>DRUGBANK::treats::Compound:Disease</td>\n","      <td>Disease::MESH:C063419</td>\n","    </tr>\n","    <tr>\n","      <th>1518269</th>\n","      <td>Compound::DB00005</td>\n","      <td>DRUGBANK::treats::Compound:Disease</td>\n","      <td>Disease::MESH:D013167</td>\n","    </tr>\n","    <tr>\n","      <th>1518270</th>\n","      <td>Compound::DB00005</td>\n","      <td>DRUGBANK::treats::Compound:Disease</td>\n","      <td>Disease::MESH:D006086</td>\n","    </tr>\n","    <tr>\n","      <th>1518271</th>\n","      <td>Compound::DB00005</td>\n","      <td>DRUGBANK::treats::Compound:Disease</td>\n","      <td>Disease::MESH:D017497</td>\n","    </tr>\n","    <tr>\n","      <th>1518272</th>\n","      <td>Compound::DB00005</td>\n","      <td>DRUGBANK::treats::Compound:Disease</td>\n","      <td>Disease::MESH:D001171</td>\n","    </tr>\n","    <tr>\n","      <th>1518273</th>\n","      <td>Compound::DB00005</td>\n","      <td>DRUGBANK::treats::Compound:Disease</td>\n","      <td>Disease::MESH:D011565</td>\n","    </tr>\n","    <tr>\n","      <th>1518274</th>\n","      <td>Compound::DB00005</td>\n","      <td>DRUGBANK::treats::Compound:Disease</td>\n","      <td>Disease::MESH:D015535</td>\n","    </tr>\n","    <tr>\n","      <th>1518275</th>\n","      <td>Compound::DB00005</td>\n","      <td>DRUGBANK::treats::Compound:Disease</td>\n","      <td>Disease::MESH:D017511</td>\n","    </tr>\n","    <tr>\n","      <th>1518276</th>\n","      <td>Compound::DB00005</td>\n","      <td>DRUGBANK::treats::Compound:Disease</td>\n","      <td>Disease::MESH:D001172</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                Gene::2157      bioarx::HumGenHumGen:Gene:Gene  \\\n","1518267  Compound::DB00003  DRUGBANK::treats::Compound:Disease   \n","1518268  Compound::DB00004  DRUGBANK::treats::Compound:Disease   \n","1518269  Compound::DB00005  DRUGBANK::treats::Compound:Disease   \n","1518270  Compound::DB00005  DRUGBANK::treats::Compound:Disease   \n","1518271  Compound::DB00005  DRUGBANK::treats::Compound:Disease   \n","1518272  Compound::DB00005  DRUGBANK::treats::Compound:Disease   \n","1518273  Compound::DB00005  DRUGBANK::treats::Compound:Disease   \n","1518274  Compound::DB00005  DRUGBANK::treats::Compound:Disease   \n","1518275  Compound::DB00005  DRUGBANK::treats::Compound:Disease   \n","1518276  Compound::DB00005  DRUGBANK::treats::Compound:Disease   \n","\n","                  Gene::2157.1  \n","1518267  Disease::MESH:D003550  \n","1518268  Disease::MESH:C063419  \n","1518269  Disease::MESH:D013167  \n","1518270  Disease::MESH:D006086  \n","1518271  Disease::MESH:D017497  \n","1518272  Disease::MESH:D001171  \n","1518273  Disease::MESH:D011565  \n","1518274  Disease::MESH:D015535  \n","1518275  Disease::MESH:D017511  \n","1518276  Disease::MESH:D001172  "]},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":["drkg_med_dis = drkg[drkg['bioarx::HumGenHumGen:Gene:Gene'] == 'DRUGBANK::treats::Compound:Disease']\n","drkg_med_dis.head(10)"]},{"cell_type":"code","execution_count":30,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1701799847226,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"2KktQP4xuebq","outputId":"3689c903-4913-450c-c007-869b442a6338"},"outputs":[{"name":"stderr","output_type":"stream","text":["C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\1450498267.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_med_dis[col] = drkg_med_dis[col].apply(lambda x: x.split('::')[2] if '::' in str(x) and len(x.split('::')) > 2 else x)\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\1450498267.py:5: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_med_dis.drop('bioarx::HumGenHumGen:Gene:Gene', axis=1, inplace=True)\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1518267</th>\n","      <td>Compound::DB00003</td>\n","      <td>Disease::MESH:D003550</td>\n","    </tr>\n","    <tr>\n","      <th>1518268</th>\n","      <td>Compound::DB00004</td>\n","      <td>Disease::MESH:C063419</td>\n","    </tr>\n","    <tr>\n","      <th>1518269</th>\n","      <td>Compound::DB00005</td>\n","      <td>Disease::MESH:D013167</td>\n","    </tr>\n","    <tr>\n","      <th>1518270</th>\n","      <td>Compound::DB00005</td>\n","      <td>Disease::MESH:D006086</td>\n","    </tr>\n","    <tr>\n","      <th>1518271</th>\n","      <td>Compound::DB00005</td>\n","      <td>Disease::MESH:D017497</td>\n","    </tr>\n","    <tr>\n","      <th>1518272</th>\n","      <td>Compound::DB00005</td>\n","      <td>Disease::MESH:D001171</td>\n","    </tr>\n","    <tr>\n","      <th>1518273</th>\n","      <td>Compound::DB00005</td>\n","      <td>Disease::MESH:D011565</td>\n","    </tr>\n","    <tr>\n","      <th>1518274</th>\n","      <td>Compound::DB00005</td>\n","      <td>Disease::MESH:D015535</td>\n","    </tr>\n","    <tr>\n","      <th>1518275</th>\n","      <td>Compound::DB00005</td>\n","      <td>Disease::MESH:D017511</td>\n","    </tr>\n","    <tr>\n","      <th>1518276</th>\n","      <td>Compound::DB00005</td>\n","      <td>Disease::MESH:D001172</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                Gene::2157           Gene::2157.1\n","1518267  Compound::DB00003  Disease::MESH:D003550\n","1518268  Compound::DB00004  Disease::MESH:C063419\n","1518269  Compound::DB00005  Disease::MESH:D013167\n","1518270  Compound::DB00005  Disease::MESH:D006086\n","1518271  Compound::DB00005  Disease::MESH:D017497\n","1518272  Compound::DB00005  Disease::MESH:D001171\n","1518273  Compound::DB00005  Disease::MESH:D011565\n","1518274  Compound::DB00005  Disease::MESH:D015535\n","1518275  Compound::DB00005  Disease::MESH:D017511\n","1518276  Compound::DB00005  Disease::MESH:D001172"]},"execution_count":30,"metadata":{},"output_type":"execute_result"}],"source":["# Modifica il DataFrame\n","for col in drkg_med_dis.columns:\n","    drkg_med_dis[col] = drkg_med_dis[col].apply(lambda x: x.split('::')[2] if '::' in str(x) and len(x.split('::')) > 2 else x)\n","\n","drkg_med_dis.drop('bioarx::HumGenHumGen:Gene:Gene', axis=1, inplace=True)\n","drkg_med_dis.head(10)"]},{"cell_type":"code","execution_count":31,"metadata":{"executionInfo":{"elapsed":7,"status":"ok","timestamp":1701799847227,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"_MRWKMoouecN"},"outputs":[{"name":"stderr","output_type":"stream","text":["C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\3752824560.py:2: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_med_dis['Gene::2157'] = drkg_med_dis['Gene::2157'].apply(lambda x: x.split('::')[-1])\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\3752824560.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_med_dis['Gene::2157.1'] = drkg_med_dis['Gene::2157.1'].apply(lambda x: x.split('::')[-1])\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\3752824560.py:4: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_med_dis['Gene::2157.1'] = drkg_med_dis['Gene::2157.1'].apply(lambda x: x.split(':')[-1])\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1518267</th>\n","      <td>DB00003</td>\n","      <td>D003550</td>\n","    </tr>\n","    <tr>\n","      <th>1518268</th>\n","      <td>DB00004</td>\n","      <td>C063419</td>\n","    </tr>\n","    <tr>\n","      <th>1518269</th>\n","      <td>DB00005</td>\n","      <td>D013167</td>\n","    </tr>\n","    <tr>\n","      <th>1518270</th>\n","      <td>DB00005</td>\n","      <td>D006086</td>\n","    </tr>\n","    <tr>\n","      <th>1518271</th>\n","      <td>DB00005</td>\n","      <td>D017497</td>\n","    </tr>\n","    <tr>\n","      <th>1518272</th>\n","      <td>DB00005</td>\n","      <td>D001171</td>\n","    </tr>\n","    <tr>\n","      <th>1518273</th>\n","      <td>DB00005</td>\n","      <td>D011565</td>\n","    </tr>\n","    <tr>\n","      <th>1518274</th>\n","      <td>DB00005</td>\n","      <td>D015535</td>\n","    </tr>\n","    <tr>\n","      <th>1518275</th>\n","      <td>DB00005</td>\n","      <td>D017511</td>\n","    </tr>\n","    <tr>\n","      <th>1518276</th>\n","      <td>DB00005</td>\n","      <td>D001172</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["        Gene::2157 Gene::2157.1\n","1518267    DB00003      D003550\n","1518268    DB00004      C063419\n","1518269    DB00005      D013167\n","1518270    DB00005      D006086\n","1518271    DB00005      D017497\n","1518272    DB00005      D001171\n","1518273    DB00005      D011565\n","1518274    DB00005      D015535\n","1518275    DB00005      D017511\n","1518276    DB00005      D001172"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["# Modifica il DataFrame\n","drkg_med_dis['Gene::2157'] = drkg_med_dis['Gene::2157'].apply(lambda x: x.split('::')[-1])\n","drkg_med_dis['Gene::2157.1'] = drkg_med_dis['Gene::2157.1'].apply(lambda x: x.split('::')[-1])\n","drkg_med_dis['Gene::2157.1'] = drkg_med_dis['Gene::2157.1'].apply(lambda x: x.split(':')[-1])\n","\n","drkg_med_dis.head(10)"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":689583,"status":"ok","timestamp":1701800556569,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"C8f_qDrmuecO","outputId":"b358cb29-810e-4ba1-9afd-1a4988c95a45"},"outputs":[{"name":"stderr","output_type":"stream","text":["Conversione: 100%|██████████| 4968/4968 [11:29<00:00,  7.21it/s]\n"]}],"source":["session = requests.Session()\n","\n","def converti_drug_in_atc(codice_mesh, api_key):\n","    url = f\"https://uts-ws.nlm.nih.gov/rest/crosswalk/current/source/DRUGBANK/{codice_mesh}?targetSource=ATC&apiKey={api_key}\"\n","\n","    response = session.get(url)\n","\n","    if response.status_code == 200:\n","        data = json.loads(response.text)\n","        codici_atc = [risultato[\"ui\"] for risultato in data[\"result\"]]\n","        # Prendi solo il primo risultato se ce ne sono più di uno\n","        return codici_atc[0] if codici_atc else None\n","    else:\n","        print(f\"Errore nella chiamata API: {response.status_code}\")\n","        return None\n","\n","# Chiave API\n","api_key = \"5ffff450-2c43-4fcd-808f-158cf91f14d2\"  # Sostituisci con la tua chiave API\n","\n","# Applica la conversione solo alle colonne specificate\n","for indice, riga in tqdm(drkg_med_dis.iterrows(), total=len(drkg_med_dis), desc=\"Conversione\"):\n","    codice_atc_1 = riga[\"Gene::2157\"]\n","\n","    if isinstance(codice_atc_1, str):\n","        codice_atc_1 = converti_drug_in_atc(codice_atc_1, api_key)\n","        drkg_med_dis.at[indice, \"Gene::2157\"] = codice_atc_1 if codice_atc_1 else \"\""]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":18,"status":"ok","timestamp":1701800556569,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"N2kqpQ8nuecQ","outputId":"d503bc26-316e-46d4-a000-77ccbf9c716d"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-133cd3b1-818e-4117-b301-37486c019c11\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1518267</th>\n","      <td>R05CB13</td>\n","      <td>D003550</td>\n","    </tr>\n","    <tr>\n","      <th>1518268</th>\n","      <td>L01XX29</td>\n","      <td>C063419</td>\n","    </tr>\n","    <tr>\n","      <th>1518269</th>\n","      <td>L04AB01</td>\n","      <td>D013167</td>\n","    </tr>\n","    <tr>\n","      <th>1518270</th>\n","      <td>L04AB01</td>\n","      <td>D006086</td>\n","    </tr>\n","    <tr>\n","      <th>1518271</th>\n","      <td>L04AB01</td>\n","      <td>D017497</td>\n","    </tr>\n","    <tr>\n","      <th>1518272</th>\n","      <td>L04AB01</td>\n","      <td>D001171</td>\n","    </tr>\n","    <tr>\n","      <th>1518273</th>\n","      <td>L04AB01</td>\n","      <td>D011565</td>\n","    </tr>\n","    <tr>\n","      <th>1518274</th>\n","      <td>L04AB01</td>\n","      <td>D015535</td>\n","    </tr>\n","    <tr>\n","      <th>1518275</th>\n","      <td>L04AB01</td>\n","      <td>D017511</td>\n","    </tr>\n","    <tr>\n","      <th>1518276</th>\n","      <td>L04AB01</td>\n","      <td>D001172</td>\n","    </tr>\n","    <tr>\n","      <th>1518277</th>\n","      <td>L04AB01</td>\n","      <td>D013262</td>\n","    </tr>\n","    <tr>\n","      <th>1518278</th>\n","      <td>B01AE06</td>\n","      <td>D054058</td>\n","    </tr>\n","    <tr>\n","      <th>1518279</th>\n","      <td>B01AE06</td>\n","      <td>D013927</td>\n","    </tr>\n","    <tr>\n","      <th>1518280</th>\n","      <td>L02AE02</td>\n","      <td>D001943</td>\n","    </tr>\n","    <tr>\n","      <th>1518281</th>\n","      <td>L02AE02</td>\n","      <td>D011629</td>\n","    </tr>\n","    <tr>\n","      <th>1518282</th>\n","      <td>L02AE02</td>\n","      <td>D004715</td>\n","    </tr>\n","    <tr>\n","      <th>1518283</th>\n","      <td>L02AE02</td>\n","      <td>D007246</td>\n","    </tr>\n","    <tr>\n","      <th>1518284</th>\n","      <td>L02AE02</td>\n","      <td>D010146</td>\n","    </tr>\n","    <tr>\n","      <th>1518285</th>\n","      <td>L02AE02</td>\n","      <td>D010262</td>\n","    </tr>\n","    <tr>\n","      <th>1518286</th>\n","      <td>L02AE02</td>\n","      <td>D007889</td>\n","    </tr>\n","    <tr>\n","      <th>1518287</th>\n","      <td>L02AE02</td>\n","      <td>D012008</td>\n","    </tr>\n","    <tr>\n","      <th>1518288</th>\n","      <td>L03AB11</td>\n","      <td>D019694</td>\n","    </tr>\n","    <tr>\n","      <th>1518289</th>\n","      <td>L03AB11</td>\n","      <td>D008103</td>\n","    </tr>\n","    <tr>\n","      <th>1518290</th>\n","      <td>S01XA13</td>\n","      <td>D011655</td>\n","    </tr>\n","    <tr>\n","      <th>1518291</th>\n","      <td>B03XA02</td>\n","      <td>D000740</td>\n","    </tr>\n","    <tr>\n","      <th>1518292</th>\n","      <td>B01AD04</td>\n","      <td>D011655</td>\n","    </tr>\n","    <tr>\n","      <th>1518293</th>\n","      <td>L02AE03</td>\n","      <td>D001943</td>\n","    </tr>\n","    <tr>\n","      <th>1518294</th>\n","      <td>L02AE03</td>\n","      <td>D004715</td>\n","    </tr>\n","    <tr>\n","      <th>1518295</th>\n","      <td>B01AD07</td>\n","      <td>D006333</td>\n","    </tr>\n","    <tr>\n","      <th>1518296</th>\n","      <td></td>\n","      <td>D000740</td>\n","    </tr>\n","    <tr>\n","      <th>1518297</th>\n","      <td>H05BA01</td>\n","      <td>D006934</td>\n","    </tr>\n","    <tr>\n","      <th>1518298</th>\n","      <td>H05BA01</td>\n","      <td>D010024</td>\n","    </tr>\n","    <tr>\n","      <th>1518299</th>\n","      <td>L03AA13</td>\n","      <td>D064146</td>\n","    </tr>\n","    <tr>\n","      <th>1518300</th>\n","      <td>L03AA13</td>\n","      <td>D011832</td>\n","    </tr>\n","    <tr>\n","      <th>1518301</th>\n","      <td>L03AA13</td>\n","      <td>D007239</td>\n","    </tr>\n","    <tr>\n","      <th>1518302</th>\n","      <td>L03AA09</td>\n","      <td>D009503</td>\n","    </tr>\n","    <tr>\n","      <th>1518303</th>\n","      <td>L03AB10</td>\n","      <td>D019698</td>\n","    </tr>\n","    <tr>\n","      <th>1518304</th>\n","      <td>L03AB10</td>\n","      <td>D008545</td>\n","    </tr>\n","    <tr>\n","      <th>1518305</th>\n","      <td>L01XX02</td>\n","      <td>D054198</td>\n","    </tr>\n","    <tr>\n","      <th>1518306</th>\n","      <td>H01AB01</td>\n","      <td>D013964</td>\n","    </tr>\n","    <tr>\n","      <th>1518307</th>\n","      <td></td>\n","      <td>D006470</td>\n","    </tr>\n","    <tr>\n","      <th>1518308</th>\n","      <td></td>\n","      <td>D006467</td>\n","    </tr>\n","    <tr>\n","      <th>1518309</th>\n","      <td></td>\n","      <td>D019106</td>\n","    </tr>\n","    <tr>\n","      <th>1518310</th>\n","      <td>L04AC03</td>\n","      <td>D001171</td>\n","    </tr>\n","    <tr>\n","      <th>1518311</th>\n","      <td>L04AC03</td>\n","      <td>D056587</td>\n","    </tr>\n","    <tr>\n","      <th>1518312</th>\n","      <td>L04AC03</td>\n","      <td>C565798</td>\n","    </tr>\n","    <tr>\n","      <th>1518313</th>\n","      <td>R02AB30</td>\n","      <td>D015821</td>\n","    </tr>\n","    <tr>\n","      <th>1518314</th>\n","      <td>J06BA</td>\n","      <td>D015451</td>\n","    </tr>\n","    <tr>\n","      <th>1518315</th>\n","      <td>J06BA</td>\n","      <td>D000077329</td>\n","    </tr>\n","    <tr>\n","      <th>1518316</th>\n","      <td>J06BA</td>\n","      <td>D016553</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-133cd3b1-818e-4117-b301-37486c019c11')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  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D011655\n","1518291    B03XA02      D000740\n","1518292    B01AD04      D011655\n","1518293    L02AE03      D001943\n","1518294    L02AE03      D004715\n","1518295    B01AD07      D006333\n","1518296                 D000740\n","1518297    H05BA01      D006934\n","1518298    H05BA01      D010024\n","1518299    L03AA13      D064146\n","1518300    L03AA13      D011832\n","1518301    L03AA13      D007239\n","1518302    L03AA09      D009503\n","1518303    L03AB10      D019698\n","1518304    L03AB10      D008545\n","1518305    L01XX02      D054198\n","1518306    H01AB01      D013964\n","1518307                 D006470\n","1518308                 D006467\n","1518309                 D019106\n","1518310    L04AC03      D001171\n","1518311    L04AC03      D056587\n","1518312    L04AC03      C565798\n","1518313    R02AB30      D015821\n","1518314      J06BA      D015451\n","1518315      J06BA   D000077329\n","1518316      J06BA      D016553"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["drkg_med_dis.head(50)"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":782882,"status":"ok","timestamp":1701801339443,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"024pOeO02GZZ","outputId":"725456e0-d07b-4852-f95a-aa6610f7ffc7"},"outputs":[{"name":"stderr","output_type":"stream","text":["Conversione: 100%|██████████| 4968/4968 [13:02<00:00,  6.35it/s]\n"]}],"source":["session = requests.Session()\n","\n","def converti_mesh_in_icd9cm(codice_mesh, api_key):\n","    url = f\"https://uts-ws.nlm.nih.gov/rest/crosswalk/current/source/MSH/{codice_mesh}?targetSource=ICD9CM&apiKey={api_key}\"\n","\n","    response = session.get(url)\n","\n","    if response.status_code == 200:\n","        data = json.loads(response.text)\n","        codici_icd9cm = [risultato[\"ui\"] for risultato in data[\"result\"]]\n","        # Prendi solo il primo risultato se ce ne sono più di uno\n","        return codici_icd9cm[0] if codici_icd9cm else None\n","    else:\n","        print(f\"Errore nella chiamata API: {response.status_code}\")\n","        return None\n","\n","# Chiave API\n","api_key = \"5ffff450-2c43-4fcd-808f-158cf91f14d2\"  # Sostituisci con la tua chiave API\n","\n","# Applica la conversione solo alle colonne specificate\n","for indice, riga in tqdm(drkg_med_dis.iterrows(), total=len(drkg_med_dis), desc=\"Conversione\"):\n","    codice_mesh_2 = riga[\"Gene::2157.1\"]\n","\n","    if isinstance(codice_mesh_2, str):\n","        codice_icd9cm_2 = converti_mesh_in_icd9cm(codice_mesh_2, api_key)\n","        drkg_med_dis.at[indice, \"Gene::2157.1\"] = codice_icd9cm_2 if codice_icd9cm_2 else \"\""]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":49,"status":"ok","timestamp":1701801339445,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"PGxH0g7Z3JPo","outputId":"4bc82358-ac3d-43ec-ebaf-3d0e4a559763"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-9639be65-a500-42f4-983b-d470e57cfdae\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1518267</th>\n","      <td>R05CB13</td>\n","      <td>277.0</td>\n","    </tr>\n","    <tr>\n","      <th>1518268</th>\n","      <td>L01XX29</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518269</th>\n","      <td>L04AB01</td>\n","      <td>720.0</td>\n","    </tr>\n","    <tr>\n","      <th>1518270</th>\n","      <td>L04AB01</td>\n","      <td>279.50</td>\n","    </tr>\n","    <tr>\n","      <th>1518271</th>\n","      <td>L04AB01</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518272</th>\n","      <td>L04AB01</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518273</th>\n","      <td>L04AB01</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518274</th>\n","      <td>L04AB01</td>\n","      <td>696.0</td>\n","    </tr>\n","    <tr>\n","      <th>1518275</th>\n","      <td>L04AB01</td>\n","      <td>686.01</td>\n","    </tr>\n","    <tr>\n","      <th>1518276</th>\n","      <td>L04AB01</td>\n","  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<th>1518286</th>\n","      <td>L02AE02</td>\n","      <td>218.9</td>\n","    </tr>\n","    <tr>\n","      <th>1518287</th>\n","      <td>L02AE02</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518288</th>\n","      <td>L03AB11</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518289</th>\n","      <td>L03AB11</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518290</th>\n","      <td>S01XA13</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518291</th>\n","      <td>B03XA02</td>\n","      <td>285.9</td>\n","    </tr>\n","    <tr>\n","      <th>1518292</th>\n","      <td>B01AD04</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518293</th>\n","      <td>L02AE03</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518294</th>\n","      <td>L02AE03</td>\n","      <td>617.9</td>\n","    </tr>\n","    <tr>\n","      <th>1518295</th>\n","      <td>B01AD07</td>\n","      <td>428</td>\n","    </tr>\n","    <tr>\n","      <th>1518296</th>\n","      <td></td>\n","      <td>285.9</td>\n","    </tr>\n","    <tr>\n","      <th>1518297</th>\n","      <td>H05BA01</td>\n","      <td>275.42</td>\n","    </tr>\n","    <tr>\n","      <th>1518298</th>\n","      <td>H05BA01</td>\n","      <td>733.00</td>\n","    </tr>\n","    <tr>\n","      <th>1518299</th>\n","      <td>L03AA13</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518300</th>\n","      <td>L03AA13</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518301</th>\n","      <td>L03AA13</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518302</th>\n","      <td>L03AA09</td>\n","      <td>288.00</td>\n","    </tr>\n","    <tr>\n","      <th>1518303</th>\n","      <td>L03AB10</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518304</th>\n","      <td>L03AB10</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518305</th>\n","      <td>L01XX02</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518306</th>\n","      <td>H01AB01</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518307</th>\n","      <td></td>\n","      <td>459.0</td>\n","    </tr>\n","    <tr>\n","      <th>1518308</th>\n","      <td></td>\n","      <td>286.0</td>\n","    </tr>\n","    <tr>\n","      <th>1518309</th>\n","      <td></td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518310</th>\n","      <td>L04AC03</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518311</th>\n","      <td>L04AC03</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518312</th>\n","      <td>L04AC03</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518313</th>\n","      <td>R02AB30</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>1518314</th>\n","      <td>J06BA</td>\n","      <td>204.1</td>\n","    </tr>\n","    <tr>\n","      <th>1518315</th>\n","     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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-d833a86f-45a3-4b2d-9f00-8752de03ce0b\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d833a86f-45a3-4b2d-9f00-8752de03ce0b')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-d833a86f-45a3-4b2d-9f00-8752de03ce0b button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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\n","1518291    B03XA02        285.9\n","1518292    B01AD04             \n","1518293    L02AE03             \n","1518294    L02AE03        617.9\n","1518295    B01AD07          428\n","1518296                   285.9\n","1518297    H05BA01       275.42\n","1518298    H05BA01       733.00\n","1518299    L03AA13             \n","1518300    L03AA13             \n","1518301    L03AA13             \n","1518302    L03AA09       288.00\n","1518303    L03AB10             \n","1518304    L03AB10             \n","1518305    L01XX02             \n","1518306    H01AB01             \n","1518307                   459.0\n","1518308                   286.0\n","1518309                        \n","1518310    L04AC03             \n","1518311    L04AC03             \n","1518312    L04AC03             \n","1518313    R02AB30             \n","1518314      J06BA        204.1\n","1518315      J06BA             \n","1518316      J06BA       287.31"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["drkg_med_dis.head(50)"]},{"cell_type":"code","execution_count":18,"metadata":{"executionInfo":{"elapsed":33,"status":"ok","timestamp":1701801339446,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"IXdJmB5uuecR"},"outputs":[],"source":["drkg_med_dis_final = drkg_med_dis[drkg_med_dis['Gene::2157'] != \"\"]\n","drkg_med_dis_final = drkg_med_dis_final[drkg_med_dis_final['Gene::2157.1'] != \"\"]"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":32,"status":"ok","timestamp":1701801339446,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"aOmADh3LuecS","outputId":"f978774c-41d3-4993-a137-b6d562af2c2f"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-ebe3512b-2794-480d-99d2-099f1e9fe772\" class=\"colab-df-container\">\n","    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<td>L04AB01</td>\n","      <td>686.01</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1523222</th>\n","      <td>L01EL03</td>\n","      <td>200.4</td>\n","    </tr>\n","    <tr>\n","      <th>1523225</th>\n","      <td>N02CD04</td>\n","      <td>346.0</td>\n","    </tr>\n","    <tr>\n","      <th>1523226</th>\n","      <td>N02CD04</td>\n","      <td>346.1</td>\n","    </tr>\n","    <tr>\n","      <th>1523229</th>\n","      <td>V09IX09</td>\n","      <td>209</td>\n","    </tr>\n","    <tr>\n","      <th>1523230</th>\n","      <td>M09AX09</td>\n","      <td>335.1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>2395 rows × 2 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ebe3512b-2794-480d-99d2-099f1e9fe772')\"\n","            title=\"Convert this 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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-e865cd7d-f5d3-42c4-9c20-16670a90e3b1\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e865cd7d-f5d3-42c4-9c20-16670a90e3b1')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-e865cd7d-f5d3-42c4-9c20-16670a90e3b1 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n","  df_CD_filtered['Gene::2157'] = df_CD_filtered['Gene::2157'].str.replace('.', '')\n","<ipython-input-20-8d474a2d46c4>:9: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n","  df_CD_filtered['Gene::2157.1'] = df_CD_filtered['Gene::2157.1'].str.replace('.', '')\n"]},{"data":{"text/html":["\n","  <div id=\"df-f4488b4b-f091-485f-ba97-31b8f26a204d\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1518267</th>\n","      <td>R05CB13</td>\n","      <td>2770</td>\n","    </tr>\n","    <tr>\n","      <th>1518269</th>\n","      <td>L04AB01</td>\n","      <td>7200</td>\n","    </tr>\n","    <tr>\n","      <th>1518270</th>\n","      <td>L04AB01</td>\n","      <td>27950</td>\n","    </tr>\n","    <tr>\n","      <th>1518274</th>\n","      <td>L04AB01</td>\n","      <td>6960</td>\n","    </tr>\n","    <tr>\n","      <th>1518275</th>\n","      <td>L04AB01</td>\n","      <td>68601</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1523222</th>\n","      <td>L01EL03</td>\n","      <td>2004</td>\n","    </tr>\n","    <tr>\n","      <th>1523225</th>\n","      <td>N02CD04</td>\n","      <td>3460</td>\n","    </tr>\n","    <tr>\n","      <th>1523226</th>\n","      <td>N02CD04</td>\n","      <td>3461</td>\n","    </tr>\n","    <tr>\n","      <th>1523229</th>\n","      <td>V09IX09</td>\n","      <td>209</td>\n","    </tr>\n","    <tr>\n","      <th>1523230</th>\n","      <td>M09AX09</td>\n","      <td>3351</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>2395 rows × 2 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f4488b4b-f091-485f-ba97-31b8f26a204d')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-f4488b4b-f091-485f-ba97-31b8f26a204d button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-57084188-5e31-4908-bf56-28893a4db7e9\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-57084188-5e31-4908-bf56-28893a4db7e9')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-57084188-5e31-4908-bf56-28893a4db7e9 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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drkg_med_dis_final['Gene::2157.1'].str.split('-', expand=True)[0]\n","\n","# Rimuovere i punti dalle colonne 'Gene::2157' e 'Gene::2157.1'\n","drkg_med_dis_final['Gene::2157'] = drkg_med_dis_final['Gene::2157'].str.replace('.', '')\n","drkg_med_dis_final['Gene::2157.1'] = drkg_med_dis_final['Gene::2157.1'].str.replace('.', '')\n","\n","drkg_med_dis_final.head(10)"]},{"cell_type":"code","execution_count":22,"metadata":{"executionInfo":{"elapsed":518,"status":"ok","timestamp":1701801340681,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"0eamEf38_7D8"},"outputs":[],"source":["drkg_med_dis_final['Gene::2157'] = drkg_med_dis_final['Gene::2157'].astype(str).str[:5] #5 for level 4"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1701801340681,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"R2z1Jk30__Fq","outputId":"1d062c66-e7e8-4433-e33b-8c0811d0e680"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-e07c7290-3185-41c0-a5ae-42365b2377ad\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    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<td>209</td>\n","    </tr>\n","    <tr>\n","      <th>1523230</th>\n","      <td>M09AX</td>\n","      <td>3351</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>2395 rows × 2 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e07c7290-3185-41c0-a5ae-42365b2377ad')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-6088b3bb-1b86-4933-a706-2abdbcdc99c5\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6088b3bb-1b86-4933-a706-2abdbcdc99c5')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-6088b3bb-1b86-4933-a706-2abdbcdc99c5 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["        Gene::2157 Gene::2157.1\n","1518267      R05CB         2770\n","1518269      L04AB         7200\n","1518270      L04AB        27950\n","1518274      L04AB         6960\n","1518275      L04AB        68601\n","...            ...          ...\n","1523222      L01EL         2004\n","1523225      N02CD         3460\n","1523226      N02CD         3461\n","1523229      V09IX          209\n","1523230      M09AX         3351\n","\n","[2395 rows x 2 columns]"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["drkg_med_dis_final.head(10)"]},{"cell_type":"code","execution_count":24,"metadata":{"executionInfo":{"elapsed":6,"status":"ok","timestamp":1701801340681,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"JD-qJaDwuecZ"},"outputs":[],"source":["drkg_med_dis_final.to_csv('./static_kg/DRUG_DIAG.csv', sep=\",\")"]},{"cell_type":"markdown","metadata":{"id":"_MVOryWQ3zJn"},"source":["## Extraction Disease-Anatomy Subgraph"]},{"cell_type":"code","execution_count":32,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":16,"status":"ok","timestamp":1701174995644,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"I9iUggtD3zJp","outputId":"e37bf4a5-738c-433e-d241-937630c6541b"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>bioarx::HumGenHumGen:Gene:Gene</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2595338</th>\n","      <td>Disease::MESH:D015209</td>\n","      <td>Hetionet::DlA::Disease:Anatomy</td>\n","      <td>Anatomy::UBERON:0002110</td>\n","    </tr>\n","    <tr>\n","      <th>2595339</th>\n","      <td>Disease::MESH:D024821</td>\n","      <td>Hetionet::DlA::Disease:Anatomy</td>\n","      <td>Anatomy::UBERON:0001980</td>\n","    </tr>\n","    <tr>\n","      <th>2595340</th>\n","      <td>Disease::MESH:D006258</td>\n","      <td>Hetionet::DlA::Disease:Anatomy</td>\n","      <td>Anatomy::UBERON:0001760</td>\n","    </tr>\n","    <tr>\n","      <th>2595341</th>\n","      <td>Disease::MESH:D018204</td>\n","      <td>Hetionet::DlA::Disease:Anatomy</td>\n","      <td>Anatomy::UBERON:0002360</td>\n","    </tr>\n","    <tr>\n","      <th>2595342</th>\n","      <td>Disease::MESH:D008180</td>\n","      <td>Hetionet::DlA::Disease:Anatomy</td>\n","      <td>Anatomy::UBERON:0002389</td>\n","    </tr>\n","    <tr>\n","      <th>2595343</th>\n","      <td>Disease::MESH:D000163</td>\n","      <td>Hetionet::DlA::Disease:Anatomy</td>\n","      <td>Anatomy::UBERON:0000178</td>\n","    </tr>\n","    <tr>\n","      <th>2595344</th>\n","      <td>Disease::MESH:D008881</td>\n","      <td>Hetionet::DlA::Disease:Anatomy</td>\n","      <td>Anatomy::UBERON:0000955</td>\n","    </tr>\n","    <tr>\n","      <th>2595345</th>\n","      <td>Disease::MESH:D008175</td>\n","      <td>Hetionet::DlA::Disease:Anatomy</td>\n","      <td>Anatomy::UBERON:0000977</td>\n","    </tr>\n","    <tr>\n","      <th>2595346</th>\n","      <td>Disease::MESH:D002532</td>\n","      <td>Hetionet::DlA::Disease:Anatomy</td>\n","      <td>Anatomy::UBERON:0002286</td>\n","    </tr>\n","    <tr>\n","      <th>2595347</th>\n","      <td>Disease::MESH:D004938</td>\n","      <td>Hetionet::DlA::Disease:Anatomy</td>\n","      <td>Anatomy::UBERON:0002040</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                    Gene::2157  bioarx::HumGenHumGen:Gene:Gene  \\\n","2595338  Disease::MESH:D015209  Hetionet::DlA::Disease:Anatomy   \n","2595339  Disease::MESH:D024821  Hetionet::DlA::Disease:Anatomy   \n","2595340  Disease::MESH:D006258  Hetionet::DlA::Disease:Anatomy   \n","2595341  Disease::MESH:D018204  Hetionet::DlA::Disease:Anatomy   \n","2595342  Disease::MESH:D008180  Hetionet::DlA::Disease:Anatomy   \n","2595343  Disease::MESH:D000163  Hetionet::DlA::Disease:Anatomy   \n","2595344  Disease::MESH:D008881  Hetionet::DlA::Disease:Anatomy   \n","2595345  Disease::MESH:D008175  Hetionet::DlA::Disease:Anatomy   \n","2595346  Disease::MESH:D002532  Hetionet::DlA::Disease:Anatomy   \n","2595347  Disease::MESH:D004938  Hetionet::DlA::Disease:Anatomy   \n","\n","                    Gene::2157.1  \n","2595338  Anatomy::UBERON:0002110  \n","2595339  Anatomy::UBERON:0001980  \n","2595340  Anatomy::UBERON:0001760  \n","2595341  Anatomy::UBERON:0002360  \n","2595342  Anatomy::UBERON:0002389  \n","2595343  Anatomy::UBERON:0000178  \n","2595344  Anatomy::UBERON:0000955  \n","2595345  Anatomy::UBERON:0000977  \n","2595346  Anatomy::UBERON:0002286  \n","2595347  Anatomy::UBERON:0002040  "]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["drkg_dis_ana = drkg[drkg['bioarx::HumGenHumGen:Gene:Gene'] == 'Hetionet::DlA::Disease:Anatomy']\n","drkg_dis_ana.head(10)"]},{"cell_type":"code","execution_count":33,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":275,"status":"ok","timestamp":1701175000318,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"wvLvtgVX3zJq","outputId":"90f6816e-9af4-4570-e705-e3c8778d985c"},"outputs":[{"name":"stderr","output_type":"stream","text":["C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\1449710579.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_ana[col] = drkg_dis_ana[col].apply(lambda x: x.split('::')[2] if '::' in str(x) and len(x.split('::')) > 2 else x)\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\1449710579.py:5: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_ana.drop('bioarx::HumGenHumGen:Gene:Gene', axis=1, inplace=True)\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2595338</th>\n","      <td>Disease::MESH:D015209</td>\n","      <td>Anatomy::UBERON:0002110</td>\n","    </tr>\n","    <tr>\n","      <th>2595339</th>\n","      <td>Disease::MESH:D024821</td>\n","      <td>Anatomy::UBERON:0001980</td>\n","    </tr>\n","    <tr>\n","      <th>2595340</th>\n","      <td>Disease::MESH:D006258</td>\n","      <td>Anatomy::UBERON:0001760</td>\n","    </tr>\n","    <tr>\n","      <th>2595341</th>\n","      <td>Disease::MESH:D018204</td>\n","      <td>Anatomy::UBERON:0002360</td>\n","    </tr>\n","    <tr>\n","      <th>2595342</th>\n","      <td>Disease::MESH:D008180</td>\n","      <td>Anatomy::UBERON:0002389</td>\n","    </tr>\n","    <tr>\n","      <th>2595343</th>\n","      <td>Disease::MESH:D000163</td>\n","      <td>Anatomy::UBERON:0000178</td>\n","    </tr>\n","    <tr>\n","      <th>2595344</th>\n","      <td>Disease::MESH:D008881</td>\n","      <td>Anatomy::UBERON:0000955</td>\n","    </tr>\n","    <tr>\n","      <th>2595345</th>\n","      <td>Disease::MESH:D008175</td>\n","      <td>Anatomy::UBERON:0000977</td>\n","    </tr>\n","    <tr>\n","      <th>2595346</th>\n","      <td>Disease::MESH:D002532</td>\n","      <td>Anatomy::UBERON:0002286</td>\n","    </tr>\n","    <tr>\n","      <th>2595347</th>\n","      <td>Disease::MESH:D004938</td>\n","      <td>Anatomy::UBERON:0002040</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                    Gene::2157             Gene::2157.1\n","2595338  Disease::MESH:D015209  Anatomy::UBERON:0002110\n","2595339  Disease::MESH:D024821  Anatomy::UBERON:0001980\n","2595340  Disease::MESH:D006258  Anatomy::UBERON:0001760\n","2595341  Disease::MESH:D018204  Anatomy::UBERON:0002360\n","2595342  Disease::MESH:D008180  Anatomy::UBERON:0002389\n","2595343  Disease::MESH:D000163  Anatomy::UBERON:0000178\n","2595344  Disease::MESH:D008881  Anatomy::UBERON:0000955\n","2595345  Disease::MESH:D008175  Anatomy::UBERON:0000977\n","2595346  Disease::MESH:D002532  Anatomy::UBERON:0002286\n","2595347  Disease::MESH:D004938  Anatomy::UBERON:0002040"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["# Modifica il DataFrame\n","for col in drkg_dis_ana.columns:\n","    drkg_dis_ana[col] = drkg_dis_ana[col].apply(lambda x: x.split('::')[2] if '::' in str(x) and len(x.split('::')) > 2 else x)\n","\n","drkg_dis_ana.drop('bioarx::HumGenHumGen:Gene:Gene', axis=1, inplace=True)\n","drkg_dis_ana.head(10)"]},{"cell_type":"code","execution_count":34,"metadata":{"id":"QK5O9fuD3zJt"},"outputs":[{"name":"stderr","output_type":"stream","text":["C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\756529468.py:2: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_ana['Gene::2157'] = drkg_dis_ana['Gene::2157'].apply(lambda x: x.split('::')[-1])\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\756529468.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_ana['Gene::2157'] = drkg_dis_ana['Gene::2157'].apply(lambda x: x.split(':')[-1])\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\756529468.py:4: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_ana['Gene::2157.1'] = drkg_dis_ana['Gene::2157.1'].apply(lambda x: x.split('::')[-1])\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\756529468.py:5: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_dis_ana['Gene::2157.1'] = drkg_dis_ana['Gene::2157.1'].apply(lambda x: x.split(':')[-1])\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2595338</th>\n","      <td>D015209</td>\n","      <td>0002110</td>\n","    </tr>\n","    <tr>\n","      <th>2595339</th>\n","      <td>D024821</td>\n","      <td>0001980</td>\n","    </tr>\n","    <tr>\n","      <th>2595340</th>\n","      <td>D006258</td>\n","      <td>0001760</td>\n","    </tr>\n","    <tr>\n","      <th>2595341</th>\n","      <td>D018204</td>\n","      <td>0002360</td>\n","    </tr>\n","    <tr>\n","      <th>2595342</th>\n","      <td>D008180</td>\n","      <td>0002389</td>\n","    </tr>\n","    <tr>\n","      <th>2595343</th>\n","      <td>D000163</td>\n","      <td>0000178</td>\n","    </tr>\n","    <tr>\n","      <th>2595344</th>\n","      <td>D008881</td>\n","      <td>0000955</td>\n","    </tr>\n","    <tr>\n","      <th>2595345</th>\n","      <td>D008175</td>\n","      <td>0000977</td>\n","    </tr>\n","    <tr>\n","      <th>2595346</th>\n","      <td>D002532</td>\n","      <td>0002286</td>\n","    </tr>\n","    <tr>\n","      <th>2595347</th>\n","      <td>D004938</td>\n","      <td>0002040</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["        Gene::2157 Gene::2157.1\n","2595338    D015209      0002110\n","2595339    D024821      0001980\n","2595340    D006258      0001760\n","2595341    D018204      0002360\n","2595342    D008180      0002389\n","2595343    D000163      0000178\n","2595344    D008881      0000955\n","2595345    D008175      0000977\n","2595346    D002532      0002286\n","2595347    D004938      0002040"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["# Modifica il DataFrame\n","drkg_dis_ana['Gene::2157'] = drkg_dis_ana['Gene::2157'].apply(lambda x: x.split('::')[-1])\n","drkg_dis_ana['Gene::2157'] = drkg_dis_ana['Gene::2157'].apply(lambda x: x.split(':')[-1])\n","drkg_dis_ana['Gene::2157.1'] = drkg_dis_ana['Gene::2157.1'].apply(lambda x: x.split('::')[-1])\n","drkg_dis_ana['Gene::2157.1'] = drkg_dis_ana['Gene::2157.1'].apply(lambda x: x.split(':')[-1])\n","\n","drkg_dis_ana.head(10)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":436856,"status":"ok","timestamp":1701175900221,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"hFBOc9Ji3zJw","outputId":"61b3a7dd-7add-4859-e6db-d540211ac7d5"},"outputs":[{"name":"stderr","output_type":"stream","text":["Conversione: 100%|██████████| 3602/3602 [07:16<00:00,  8.25it/s]\n"]}],"source":["session = requests.Session()\n","\n","def converti_mesh_in_icd9cm(codice_mesh, api_key):\n","    url = f\"https://uts-ws.nlm.nih.gov/rest/crosswalk/current/source/MSH/{codice_mesh}?targetSource=ICD9CM&apiKey={api_key}\"\n","\n","    response = session.get(url)\n","\n","    if response.status_code == 200:\n","        data = json.loads(response.text)\n","        codici_icd9cm = [risultato[\"ui\"] for risultato in data[\"result\"]]\n","        # Prendi solo il primo risultato se ce ne sono più di uno\n","        return codici_icd9cm[0] if codici_icd9cm else None\n","    else:\n","        print(f\"Errore nella chiamata API: {response.status_code}\")\n","        return None\n","\n","# Chiave API\n","api_key = \"5ffff450-2c43-4fcd-808f-158cf91f14d2\"  # Sostituisci con la tua chiave API\n","\n","# Applica la conversione solo alle colonne specificate\n","for indice, riga in tqdm(drkg_dis_ana.iterrows(), total=len(drkg_dis_ana), desc=\"Conversione\"):\n","    codice_mesh_2 = riga[\"Gene::2157\"]\n","\n","    if isinstance(codice_mesh_2, str):\n","        codice_icd9cm_2 = converti_mesh_in_icd9cm(codice_mesh_2, api_key)\n","        drkg_dis_ana.at[indice, \"Gene::2157\"] = codice_icd9cm_2 if codice_icd9cm_2 else \"\""]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":541,"status":"ok","timestamp":1701175900724,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"LC5MfoHO3zJx","outputId":"a1091645-85d4-4c91-d4ff-733ca34585ee"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-88d79f1d-d401-41a0-9234-dc4e556320e9\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: 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     <td></td>\n","      <td>0002286</td>\n","    </tr>\n","    <tr>\n","      <th>2595347</th>\n","      <td>150</td>\n","      <td>0002040</td>\n","    </tr>\n","    <tr>\n","      <th>2595348</th>\n","      <td></td>\n","      <td>0001646</td>\n","    </tr>\n","    <tr>\n","      <th>2595349</th>\n","      <td></td>\n","      <td>0001679</td>\n","    </tr>\n","    <tr>\n","      <th>2595350</th>\n","      <td></td>\n","      <td>0000997</td>\n","    </tr>\n","    <tr>\n","      <th>2595351</th>\n","      <td>295</td>\n","      <td>0001893</td>\n","    </tr>\n","    <tr>\n","      <th>2595352</th>\n","      <td></td>\n","      <td>0002103</td>\n","    </tr>\n","    <tr>\n","      <th>2595353</th>\n","      <td></td>\n","      <td>0000026</td>\n","    </tr>\n","    <tr>\n","      <th>2595354</th>\n","      <td></td>\n","      <td>0001003</td>\n","    </tr>\n","    <tr>\n","      <th>2595355</th>\n","      <td></td>\n","      <td>0001532</td>\n","    </tr>\n","    <tr>\n","      <th>2595356</th>\n","      <td></td>\n","      <td>0004452</td>\n","    </tr>\n","    <tr>\n","      <th>2595357</th>\n","      <td>477</td>\n","      <td>0002410</td>\n","    </tr>\n","    <tr>\n","      <th>2595358</th>\n","      <td></td>\n","      <td>0001649</td>\n","    </tr>\n","    <tr>\n","      <th>2595359</th>\n","      <td>186</td>\n","      <td>0001072</td>\n","    </tr>\n","    <tr>\n","      <th>2595360</th>\n","      <td>153.5</td>\n","      <td>0000992</td>\n","    </tr>\n","    <tr>\n","      <th>2595361</th>\n","      <td>184.0</td>\n","      <td>0000949</td>\n","    </tr>\n","    <tr>\n","      <th>2595362</th>\n","      <td></td>\n","      <td>0001579</td>\n","    </tr>\n","    <tr>\n","      <th>2595363</th>\n","      <td>084</td>\n","      <td>0000178</td>\n","    </tr>\n","    <tr>\n","      <th>2595364</th>\n","      <td></td>\n","      <td>0002439</td>\n","    </tr>\n","    <tr>\n","      <th>2595365</th>\n","      <td>345.9</td>\n","      <td>0002606</td>\n","    </tr>\n","    <tr>\n","      <th>2595366</th>\n","      <td>440</td>\n","      <td>0002066</td>\n","    </tr>\n","    <tr>\n","      <th>2595367</th>\n","      <td></td>\n","      <td>0003889</td>\n","    </tr>\n","    <tr>\n","      <th>2595368</th>\n","      <td>164.9</td>\n","      <td>0001533</td>\n","    </tr>\n","    <tr>\n","      <th>2595369</th>\n","      <td>153.5</td>\n","      <td>0002368</td>\n","    </tr>\n","    <tr>\n","      <th>2595370</th>\n","      <td>365</td>\n","      <td>0000941</td>\n","    </tr>\n","    <tr>\n","      <th>2595371</th>\n","      <td>446.1</td>\n","      <td>0001530</td>\n","    </tr>\n","    <tr>\n","      <th>2595372</th>\n","      <td></td>\n","      <td>0001132</td>\n","    </tr>\n","    <tr>\n","      <th>2595373</th>\n","      <td></td>\n","      <td>0001516</td>\n","    </tr>\n","    <tr>\n","      <th>2595374</th>\n","      <td></td>\n","      <td>0001690</td>\n","    </tr>\n","    <tr>\n","      <th>2595375</th>\n","      <td>340</td>\n","      <td>0002673</td>\n","    </tr>\n","    <tr>\n","      <th>2595376</th>\n","      <td>365</td>\n","      <td>0001771</td>\n","    </tr>\n","    <tr>\n","      <th>2595377</th>\n","      <td>340</td>\n","      <td>0002944</td>\n","    </tr>\n","    <tr>\n","      <th>2595378</th>\n","      <td>710.0</td>\n","      <td>0001017</td>\n","    </tr>\n","    <tr>\n","      <th>2595379</th>\n","      <td></td>\n","      <td>0002285</td>\n","    </tr>\n","    <tr>\n","      <th>2595380</th>\n","      <td></td>\n","      <td>0002205</td>\n","    </tr>\n","    <tr>\n","      <th>2595381</th>\n","      <td>346</td>\n","      <td>0002519</td>\n","    </tr>\n","    <tr>\n","      <th>2595382</th>\n","      <td></td>\n","      <td>0001352</td>\n","    </tr>\n","    <tr>\n","      <th>2595383</th>\n","      <td></td>\n","      <td>0002365</td>\n","    </tr>\n","    <tr>\n","      <th>2595384</th>\n","      <td>715.9</td>\n","      <td>0001463</td>\n","    </tr>\n","    <tr>\n","      <th>2595385</th>\n","      <td>521.00</td>\n","      <td>0001831</td>\n","    </tr>\n","    <tr>\n","      <th>2595386</th>\n","      <td>715.9</td>\n","      <td>0001469</td>\n","    </tr>\n","    <tr>\n","      <th>2595387</th>\n","      <td></td>\n","      <td>0002110</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-88d79f1d-d401-41a0-9234-dc4e556320e9')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 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0000949\n","2595362                 0001579\n","2595363        084      0000178\n","2595364                 0002439\n","2595365      345.9      0002606\n","2595366        440      0002066\n","2595367                 0003889\n","2595368      164.9      0001533\n","2595369      153.5      0002368\n","2595370        365      0000941\n","2595371      446.1      0001530\n","2595372                 0001132\n","2595373                 0001516\n","2595374                 0001690\n","2595375        340      0002673\n","2595376        365      0001771\n","2595377        340      0002944\n","2595378      710.0      0001017\n","2595379                 0002285\n","2595380                 0002205\n","2595381        346      0002519\n","2595382                 0001352\n","2595383                 0002365\n","2595384      715.9      0001463\n","2595385     521.00      0001831\n","2595386      715.9      0001469\n","2595387                 0002110"]},"execution_count":118,"metadata":{},"output_type":"execute_result"}],"source":["drkg_dis_ana.head(50)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"m7c7DEKz3zJy"},"outputs":[],"source":["drkg_dis_ana_final = drkg_dis_ana[drkg_dis_ana['Gene::2157'] != \"\"]\n","drkg_dis_ana_final = drkg_dis_ana_final[drkg_dis_ana_final['Gene::2157.1'] != \"\"]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":14,"status":"ok","timestamp":1701175913310,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"ijrWWRG83zJy","outputId":"9b3e237f-8860-4092-d452-dd7f9c333bb7"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-2e042a51-cc3d-418f-b2ee-1cfd28cde213\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th 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  <th>2598933</th>\n","      <td>299.0</td>\n","      <td>0002298</td>\n","    </tr>\n","    <tr>\n","      <th>2598936</th>\n","      <td>556.9</td>\n","      <td>0001183</td>\n","    </tr>\n","    <tr>\n","      <th>2598937</th>\n","      <td>190.9</td>\n","      <td>0001677</td>\n","    </tr>\n","    <tr>\n","      <th>2598938</th>\n","      <td>585.9</td>\n","      <td>0001814</td>\n","    </tr>\n","    <tr>\n","      <th>2598939</th>\n","      <td>347.0</td>\n","      <td>0000988</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>2016 rows × 2 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2e042a51-cc3d-418f-b2ee-1cfd28cde213')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 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In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n","  df_DA_filtered['Gene::2157'] = df_DA_filtered['Gene::2157'].str.replace('.', '')\n","<ipython-input-126-12a7ac15af23>:9: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n","  df_DA_filtered['Gene::2157.1'] = df_DA_filtered['Gene::2157.1'].str.replace('.', '')\n"]},{"data":{"text/html":["\n","  <div id=\"df-fb08bf56-8800-4b29-95ec-7682bc70e23d\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2595339</th>\n","      <td>2777</td>\n","      <td>0001980</td>\n","    </tr>\n","    <tr>\n","      <th>2595342</th>\n","      <td>7100</td>\n","      <td>0002389</td>\n","    </tr>\n","    <tr>\n","      <th>2595344</th>\n","      <td>346</td>\n","      <td>0000955</td>\n","    </tr>\n","    <tr>\n","      <th>2595347</th>\n","      <td>150</td>\n","      <td>0002040</td>\n","    </tr>\n","    <tr>\n","      <th>2595351</th>\n","      <td>295</td>\n","      <td>0001893</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2598933</th>\n","      <td>2990</td>\n","      <td>0002298</td>\n","    </tr>\n","    <tr>\n","      <th>2598936</th>\n","      <td>5569</td>\n","      <td>0001183</td>\n","    </tr>\n","    <tr>\n","      <th>2598937</th>\n","      <td>1909</td>\n","      <td>0001677</td>\n","    </tr>\n","    <tr>\n","      <th>2598938</th>\n","      <td>5859</td>\n","      <td>0001814</td>\n","    </tr>\n","    <tr>\n","      <th>2598939</th>\n","      <td>3470</td>\n","      <td>0000988</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>2016 rows × 2 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fb08bf56-8800-4b29-95ec-7682bc70e23d')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-fb08bf56-8800-4b29-95ec-7682bc70e23d button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["        Gene::2157 Gene::2157.1\n","2595339       2777      0001980\n","2595342       7100      0002389\n","2595344        346      0000955\n","2595347        150      0002040\n","2595351        295      0001893\n","...            ...          ...\n","2598933       2990      0002298\n","2598936       5569      0001183\n","2598937       1909      0001677\n","2598938       5859      0001814\n","2598939       3470      0000988\n","\n","[2016 rows x 2 columns]"]},"execution_count":126,"metadata":{},"output_type":"execute_result"}],"source":["# Dividere la colonna 'Gene::2157' usando il trattino e ottenere la prima parte\n","drkg_dis_ana_final['Gene::2157'] = drkg_dis_ana_final['Gene::2157'].str.split('-', expand=True)[0]\n","\n","# Dividere la colonna 'Gene::2157.1' usando il trattino e ottenere la prima parte\n","drkg_dis_ana_final['Gene::2157.1'] = drkg_dis_ana_final['Gene::2157.1'].str.split('-', expand=True)[0]\n","\n","# Rimuovere i punti dalle colonne 'Gene::2157' e 'Gene::2157.1'\n","drkg_dis_ana_final['Gene::2157'] = drkg_dis_ana_final['Gene::2157'].str.replace('.', '')\n","drkg_dis_ana_final['Gene::2157.1'] = drkg_dis_ana_final['Gene::2157.1'].str.replace('.', '')\n","\n","drkg_dis_ana_final.head(10)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"fUKIhm0-3zJ1"},"outputs":[],"source":["drkg_dis_ana_final.to_csv('./static_kg/ANAT_DIAG.csv', sep=\",\")"]},{"cell_type":"markdown","metadata":{"id":"L1oZDflEjBz4"},"source":["## Extraction PharmacologicClass-Drug Subgraph"]},{"cell_type":"code","execution_count":35,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":740,"status":"ok","timestamp":1701775603081,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"O_Rr-aqSjBz6","outputId":"7c37fa44-3d6a-4be7-9c67-4b311dd40099"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>bioarx::HumGenHumGen:Gene:Gene</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>3002578</th>\n","      <td>Pharmacologic Class::N0000175732</td>\n","      <td>Hetionet::PCiC::Pharmacologic Class:Compound</td>\n","      <td>Compound::DB00728</td>\n","    </tr>\n","    <tr>\n","      <th>3002579</th>\n","      <td>Pharmacologic Class::N0000185503</td>\n","      <td>Hetionet::PCiC::Pharmacologic Class:Compound</td>\n","      <td>Compound::DB05521</td>\n","    </tr>\n","    <tr>\n","      <th>3002580</th>\n","      <td>Pharmacologic Class::N0000191267</td>\n","      <td>Hetionet::PCiC::Pharmacologic Class:Compound</td>\n","      <td>Compound::DB00252</td>\n","    </tr>\n","    <tr>\n","      <th>3002581</th>\n","      <td>Pharmacologic Class::N0000181819</td>\n","      <td>Hetionet::PCiC::Pharmacologic Class:Compound</td>\n","      <td>Compound::DB00514</td>\n","    </tr>\n","    <tr>\n","      <th>3002582</th>\n","      <td>Pharmacologic Class::N0000175450</td>\n","      <td>Hetionet::PCiC::Pharmacologic Class:Compound</td>\n","      <td>Compound::DB00443</td>\n","    </tr>\n","    <tr>\n","      <th>3002583</th>\n","      <td>Pharmacologic Class::N0000007706</td>\n","      <td>Hetionet::PCiC::Pharmacologic Class:Compound</td>\n","      <td>Compound::DB00654</td>\n","    </tr>\n","    <tr>\n","      <th>3002584</th>\n","      <td>Pharmacologic Class::N0000175764</td>\n","      <td>Hetionet::PCiC::Pharmacologic Class:Compound</td>\n","      <td>Compound::DB00998</td>\n","    </tr>\n","    <tr>\n","      <th>3002585</th>\n","      <td>Pharmacologic Class::N0000171131</td>\n","      <td>Hetionet::PCiC::Pharmacologic Class:Compound</td>\n","      <td>Compound::DB01086</td>\n","    </tr>\n","    <tr>\n","      <th>3002586</th>\n","      <td>Pharmacologic Class::N0000185506</td>\n","      <td>Hetionet::PCiC::Pharmacologic Class:Compound</td>\n","      <td>Compound::DB08912</td>\n","    </tr>\n","    <tr>\n","      <th>3002587</th>\n","      <td>Pharmacologic Class::N0000007853</td>\n","      <td>Hetionet::PCiC::Pharmacologic Class:Compound</td>\n","      <td>Compound::DB00479</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                               Gene::2157  \\\n","3002578  Pharmacologic Class::N0000175732   \n","3002579  Pharmacologic Class::N0000185503   \n","3002580  Pharmacologic Class::N0000191267   \n","3002581  Pharmacologic Class::N0000181819   \n","3002582  Pharmacologic Class::N0000175450   \n","3002583  Pharmacologic Class::N0000007706   \n","3002584  Pharmacologic Class::N0000175764   \n","3002585  Pharmacologic Class::N0000171131   \n","3002586  Pharmacologic Class::N0000185506   \n","3002587  Pharmacologic Class::N0000007853   \n","\n","                       bioarx::HumGenHumGen:Gene:Gene       Gene::2157.1  \n","3002578  Hetionet::PCiC::Pharmacologic Class:Compound  Compound::DB00728  \n","3002579  Hetionet::PCiC::Pharmacologic Class:Compound  Compound::DB05521  \n","3002580  Hetionet::PCiC::Pharmacologic Class:Compound  Compound::DB00252  \n","3002581  Hetionet::PCiC::Pharmacologic Class:Compound  Compound::DB00514  \n","3002582  Hetionet::PCiC::Pharmacologic Class:Compound  Compound::DB00443  \n","3002583  Hetionet::PCiC::Pharmacologic Class:Compound  Compound::DB00654  \n","3002584  Hetionet::PCiC::Pharmacologic Class:Compound  Compound::DB00998  \n","3002585  Hetionet::PCiC::Pharmacologic Class:Compound  Compound::DB01086  \n","3002586  Hetionet::PCiC::Pharmacologic Class:Compound  Compound::DB08912  \n","3002587  Hetionet::PCiC::Pharmacologic Class:Compound  Compound::DB00479  "]},"execution_count":35,"metadata":{},"output_type":"execute_result"}],"source":["drkg_pharma_drug = drkg[drkg['bioarx::HumGenHumGen:Gene:Gene'] == 'Hetionet::PCiC::Pharmacologic Class:Compound']\n","drkg_pharma_drug.head(10)"]},{"cell_type":"code","execution_count":36,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":33,"status":"ok","timestamp":1701775603081,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"pXiFkZXMjBz8","outputId":"99757f4d-f5e2-41b0-bb67-a889ea24f164"},"outputs":[{"name":"stderr","output_type":"stream","text":["C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\3238354006.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_pharma_drug[col] = drkg_pharma_drug[col].apply(lambda x: x.split('::')[2] if '::' in str(x) and len(x.split('::')) > 2 else x)\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\3238354006.py:5: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_pharma_drug.drop('bioarx::HumGenHumGen:Gene:Gene', axis=1, inplace=True)\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>3002578</th>\n","      <td>Pharmacologic Class::N0000175732</td>\n","      <td>Compound::DB00728</td>\n","    </tr>\n","    <tr>\n","      <th>3002579</th>\n","      <td>Pharmacologic Class::N0000185503</td>\n","      <td>Compound::DB05521</td>\n","    </tr>\n","    <tr>\n","      <th>3002580</th>\n","      <td>Pharmacologic Class::N0000191267</td>\n","      <td>Compound::DB00252</td>\n","    </tr>\n","    <tr>\n","      <th>3002581</th>\n","      <td>Pharmacologic Class::N0000181819</td>\n","      <td>Compound::DB00514</td>\n","    </tr>\n","    <tr>\n","      <th>3002582</th>\n","      <td>Pharmacologic Class::N0000175450</td>\n","      <td>Compound::DB00443</td>\n","    </tr>\n","    <tr>\n","      <th>3002583</th>\n","      <td>Pharmacologic Class::N0000007706</td>\n","      <td>Compound::DB00654</td>\n","    </tr>\n","    <tr>\n","      <th>3002584</th>\n","      <td>Pharmacologic Class::N0000175764</td>\n","      <td>Compound::DB00998</td>\n","    </tr>\n","    <tr>\n","      <th>3002585</th>\n","      <td>Pharmacologic Class::N0000171131</td>\n","      <td>Compound::DB01086</td>\n","    </tr>\n","    <tr>\n","      <th>3002586</th>\n","      <td>Pharmacologic Class::N0000185506</td>\n","      <td>Compound::DB08912</td>\n","    </tr>\n","    <tr>\n","      <th>3002587</th>\n","      <td>Pharmacologic Class::N0000007853</td>\n","      <td>Compound::DB00479</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                               Gene::2157       Gene::2157.1\n","3002578  Pharmacologic Class::N0000175732  Compound::DB00728\n","3002579  Pharmacologic Class::N0000185503  Compound::DB05521\n","3002580  Pharmacologic Class::N0000191267  Compound::DB00252\n","3002581  Pharmacologic Class::N0000181819  Compound::DB00514\n","3002582  Pharmacologic Class::N0000175450  Compound::DB00443\n","3002583  Pharmacologic Class::N0000007706  Compound::DB00654\n","3002584  Pharmacologic Class::N0000175764  Compound::DB00998\n","3002585  Pharmacologic Class::N0000171131  Compound::DB01086\n","3002586  Pharmacologic Class::N0000185506  Compound::DB08912\n","3002587  Pharmacologic Class::N0000007853  Compound::DB00479"]},"execution_count":36,"metadata":{},"output_type":"execute_result"}],"source":["# Modifica il DataFrame\n","for col in drkg_pharma_drug.columns:\n","    drkg_pharma_drug[col] = drkg_pharma_drug[col].apply(lambda x: x.split('::')[2] if '::' in str(x) and len(x.split('::')) > 2 else x)\n","\n","drkg_pharma_drug.drop('bioarx::HumGenHumGen:Gene:Gene', axis=1, inplace=True)\n","drkg_pharma_drug.head(10)"]},{"cell_type":"code","execution_count":37,"metadata":{"executionInfo":{"elapsed":20,"status":"ok","timestamp":1701775603082,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"LP7rn8FVjBz-"},"outputs":[{"name":"stderr","output_type":"stream","text":["C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\3586514196.py:2: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_pharma_drug['Gene::2157'] = drkg_pharma_drug['Gene::2157'].apply(lambda x: x.split('::')[-1])\n","C:\\Users\\giuse\\AppData\\Local\\Temp\\ipykernel_10388\\3586514196.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  drkg_pharma_drug['Gene::2157.1'] = drkg_pharma_drug['Gene::2157.1'].apply(lambda x: x.split('::')[-1])\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>3002578</th>\n","      <td>N0000175732</td>\n","      <td>DB00728</td>\n","    </tr>\n","    <tr>\n","      <th>3002579</th>\n","      <td>N0000185503</td>\n","      <td>DB05521</td>\n","    </tr>\n","    <tr>\n","      <th>3002580</th>\n","      <td>N0000191267</td>\n","      <td>DB00252</td>\n","    </tr>\n","    <tr>\n","      <th>3002581</th>\n","      <td>N0000181819</td>\n","      <td>DB00514</td>\n","    </tr>\n","    <tr>\n","      <th>3002582</th>\n","      <td>N0000175450</td>\n","      <td>DB00443</td>\n","    </tr>\n","    <tr>\n","      <th>3002583</th>\n","      <td>N0000007706</td>\n","      <td>DB00654</td>\n","    </tr>\n","    <tr>\n","      <th>3002584</th>\n","      <td>N0000175764</td>\n","      <td>DB00998</td>\n","    </tr>\n","    <tr>\n","      <th>3002585</th>\n","      <td>N0000171131</td>\n","      <td>DB01086</td>\n","    </tr>\n","    <tr>\n","      <th>3002586</th>\n","      <td>N0000185506</td>\n","      <td>DB08912</td>\n","    </tr>\n","    <tr>\n","      <th>3002587</th>\n","      <td>N0000007853</td>\n","      <td>DB00479</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["          Gene::2157 Gene::2157.1\n","3002578  N0000175732      DB00728\n","3002579  N0000185503      DB05521\n","3002580  N0000191267      DB00252\n","3002581  N0000181819      DB00514\n","3002582  N0000175450      DB00443\n","3002583  N0000007706      DB00654\n","3002584  N0000175764      DB00998\n","3002585  N0000171131      DB01086\n","3002586  N0000185506      DB08912\n","3002587  N0000007853      DB00479"]},"execution_count":37,"metadata":{},"output_type":"execute_result"}],"source":["# Modifica il DataFrame\n","drkg_pharma_drug['Gene::2157'] = drkg_pharma_drug['Gene::2157'].apply(lambda x: x.split('::')[-1])\n","drkg_pharma_drug['Gene::2157.1'] = drkg_pharma_drug['Gene::2157.1'].apply(lambda x: x.split('::')[-1])\n","\n","drkg_pharma_drug.head(10)"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":82880,"status":"ok","timestamp":1701775716658,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"gDXyvMLOjBz_","outputId":"49ffcab1-e797-4412-b63c-641143f149a9"},"outputs":[{"name":"stderr","output_type":"stream","text":["Conversione: 100%|██████████| 1029/1029 [01:22<00:00, 12.52it/s]\n"]}],"source":["session = requests.Session()\n","\n","def converti_drug_in_atc(codice_mesh, api_key):\n","    url = f\"https://uts-ws.nlm.nih.gov/rest/crosswalk/current/source/DRUGBANK/{codice_mesh}?targetSource=ATC&apiKey={api_key}\"\n","\n","    response = session.get(url)\n","\n","    if response.status_code == 200:\n","        data = json.loads(response.text)\n","        codici_atc = [risultato[\"ui\"] for risultato in data[\"result\"]]\n","        # Prendi solo il primo risultato se ce ne sono più di uno\n","        return codici_atc[0] if codici_atc else None\n","    else:\n","        print(f\"Errore nella chiamata API: {response.status_code}\")\n","        return None\n","\n","# Chiave API\n","api_key = \"5ffff450-2c43-4fcd-808f-158cf91f14d2\"  # Sostituisci con la tua chiave API\n","\n","# Applica la conversione solo alle colonne specificate\n","for indice, riga in tqdm(drkg_pharma_drug.iterrows(), total=len(drkg_pharma_drug), desc=\"Conversione\"):\n","    codice_atc_1 = riga[\"Gene::2157.1\"]\n","\n","    if isinstance(codice_atc_1, str):\n","        codice_atc_1 = converti_drug_in_atc(codice_atc_1, api_key)\n","        drkg_pharma_drug.at[indice, \"Gene::2157.1\"] = codice_atc_1 if codice_atc_1 else \"\""]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":101,"status":"ok","timestamp":1701775716659,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"IDoNR3bDjB0A","outputId":"a6a525ae-42f8-4c2b-b117-c8b47d6bde10"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-9f7d1965-9911-4490-b8bb-852673838f8d\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>3002578</th>\n","      <td>N0000175732</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>3002579</th>\n","      <td>N0000185503</td>\n","      <td>J05AP02</td>\n","    </tr>\n","    <tr>\n","      <th>3002580</th>\n","      <td>N0000191267</td>\n","      <td>N03AB02</td>\n","    </tr>\n","    <tr>\n","      <th>3002581</th>\n","      <td>N0000181819</td>\n","      <td>R05DA09</td>\n","    </tr>\n","    <tr>\n","      <th>3002582</th>\n","      <td>N0000175450</td>\n","      <td>S03BA03</td>\n","    </tr>\n","    <tr>\n","      <th>3002583</th>\n","      <td>N0000007706</td>\n","      <td>S01EE01</td>\n","    </tr>\n","    <tr>\n","      <th>3002584</th>\n","      <td>N0000175764</td>\n","      <td>N02CC07</td>\n","    </tr>\n","    <tr>\n","      <th>3002585</th>\n","      <td>N0000171131</td>\n","      <td>C05AD03</td>\n","    </tr>\n","    <tr>\n","      <th>3002586</th>\n","      <td>N0000185506</td>\n","      <td>L01EC02</td>\n","    </tr>\n","    <tr>\n","      <th>3002587</th>\n","      <td>N0000007853</td>\n","      <td>D06AX12</td>\n","    </tr>\n","    <tr>\n","      <th>3002588</th>\n","      <td>N0000175450</td>\n","      <td>A07EA06</td>\n","    </tr>\n","    <tr>\n","      <th>3002589</th>\n","      <td>N0000175732</td>\n","      <td>M03AC01</td>\n","    </tr>\n","    <tr>\n","      <th>3002590</th>\n","      <td>N0000007770</td>\n","      <td>L01BC09</td>\n","    </tr>\n","    <tr>\n","      <th>3002591</th>\n","      <td>N0000175764</td>\n","      <td>N02CC04</td>\n","    </tr>\n","    <tr>\n","      <th>3002592</th>\n","      <td>N0000008638</td>\n","      <td>H01CC02</td>\n","    </tr>\n","    <tr>\n","      <th>3002593</th>\n","      <td>N0000185506</td>\n","      <td>A04AD12</td>\n","    </tr>\n","    <tr>\n","      <th>3002594</th>\n","      <td>N0000175073</td>\n","      <td>L01XA02</td>\n","    </tr>\n","    <tr>\n","      <th>3002595</th>\n","      <td>N0000009909</td>\n","      <td>C05AE01</td>\n","    </tr>\n","    <tr>\n","      <th>3002596</th>\n","      <td>N0000182139</td>\n","      <td>L01ED01</td>\n","    </tr>\n","    <tr>\n","      <th>3002597</th>\n","      <td>N0000000236</td>\n","      <td>L01AC01</td>\n","    </tr>\n","    <tr>\n","      <th>3002598</th>\n","      <td>N0000191277</td>\n","      <td>B02BX05</td>\n","    </tr>\n","    <tr>\n","      <th>3002599</th>\n","      <td>N0000007542</td>\n","      <td>N05CD05</td>\n","    </tr>\n","    <tr>\n","      <th>3002600</th>\n","      <td>N0000175632</td>\n","      <td>B02AA02</td>\n","    </tr>\n","    <tr>\n","      <th>3002601</th>\n","      <td>N0000011311</td>\n","      <td>J01DF01</td>\n","    </tr>\n","    <tr>\n","      <th>3002602</th>\n","      <td>N0000175732</td>\n","      <td>M03AC03</td>\n","    </tr>\n","    <tr>\n","      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N07BA03\n","3002627  N0000007618      N04BC06"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["drkg_pharma_drug.head(50)"]},{"cell_type":"code","execution_count":16,"metadata":{"executionInfo":{"elapsed":54,"status":"ok","timestamp":1701775716659,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"L2bFKut5jB0B"},"outputs":[],"source":["drkg_pharma_drug_final = drkg_pharma_drug[drkg_pharma_drug['Gene::2157'] != \"\"]\n","drkg_pharma_drug_final = drkg_pharma_drug_final[drkg_pharma_drug_final['Gene::2157.1'] != \"\"]"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":52,"status":"ok","timestamp":1701775716659,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"bpLC_KD7jB0C","outputId":"c975369f-a46d-4d3b-9f6d-5acd1ae30faf"},"outputs":[{"data":{"text/html":["\n","  <div 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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-c9d5066a-d871-4a76-8182-8d97ccbea2e2\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c9d5066a-d871-4a76-8182-8d97ccbea2e2')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-c9d5066a-d871-4a76-8182-8d97ccbea2e2 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n","  df_DD_filtered['Gene::2157'] = df_DD_filtered['Gene::2157'].str.replace('.', '')\n","<ipython-input-18-4214631cb674>:9: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n","  df_DD_filtered['Gene::2157.1'] = df_DD_filtered['Gene::2157.1'].str.replace('.', '')\n"]},{"data":{"text/html":["\n","  <div id=\"df-8b9c7402-aa28-4ff3-ad3e-e95819084bd0\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>3002579</th>\n","      <td>N0000185503</td>\n","      <td>J05AP02</td>\n","    </tr>\n","    <tr>\n","      <th>3002580</th>\n","      <td>N0000191267</td>\n","      <td>N03AB02</td>\n","    </tr>\n","    <tr>\n","      <th>3002581</th>\n","      <td>N0000181819</td>\n","      <td>R05DA09</td>\n","    </tr>\n","    <tr>\n","      <th>3002582</th>\n","      <td>N0000175450</td>\n","      <td>S03BA03</td>\n","    </tr>\n","    <tr>\n","      <th>3002583</th>\n","      <td>N0000007706</td>\n","      <td>S01EE01</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>3003601</th>\n","      <td>N0000008217</td>\n","      <td>J02AC02</td>\n","    </tr>\n","    <tr>\n","      <th>3003602</th>\n","      <td>N0000187063</td>\n","      <td>N03AB02</td>\n","    </tr>\n","    <tr>\n","      <th>3003603</th>\n","      <td>N0000175684</td>\n","      <td>N02AA08</td>\n","    </tr>\n","    <tr>\n","      <th>3003604</th>\n","      <td>N0000011161</td>\n","      <td>J01DD15</td>\n","    </tr>\n","    <tr>\n","      <th>3003605</th>\n","      <td>N0000011281</td>\n","      <td>J01CA04</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>971 rows × 2 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8b9c7402-aa28-4ff3-ad3e-e95819084bd0')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-8b9c7402-aa28-4ff3-ad3e-e95819084bd0 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-3252ed1d-eb6d-4e61-9b77-b7871a216061\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3252ed1d-eb6d-4e61-9b77-b7871a216061')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-3252ed1d-eb6d-4e61-9b77-b7871a216061 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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5 per level4 e 4 per level 3"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":267},"executionInfo":{"elapsed":88,"status":"ok","timestamp":1701775718208,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"GCriNXB1sd3U","outputId":"2bdd1106-b754-45a1-ba93-933a2608ab8c"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-bf80eacf-0f03-4daf-b9e4-2740f1c8ca85\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gene::2157</th>\n","      <th>Gene::2157.1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>3002579</th>\n","      <td>N0000185503</td>\n","      <td>J05AP</td>\n","    </tr>\n","    <tr>\n","      <th>3002580</th>\n","      <td>N0000191267</td>\n","      <td>N03AB</td>\n","    </tr>\n","    <tr>\n","      <th>3002581</th>\n","      <td>N0000181819</td>\n","      <td>R05DA</td>\n","    </tr>\n","    <tr>\n","      <th>3002582</th>\n","      <td>N0000175450</td>\n","      <td>S03BA</td>\n","    </tr>\n","    <tr>\n","      <th>3002583</th>\n","      <td>N0000007706</td>\n","      <td>S01EE</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>3003601</th>\n","      <td>N0000008217</td>\n","      <td>J02AC</td>\n","    </tr>\n","    <tr>\n","      <th>3003602</th>\n","      <td>N0000187063</td>\n","      <td>N03AB</td>\n","    </tr>\n","    <tr>\n","      <th>3003603</th>\n","      <td>N0000175684</td>\n","      <td>N02AA</td>\n","    </tr>\n","    <tr>\n","      <th>3003604</th>\n","      <td>N0000011161</td>\n","      <td>J01DD</td>\n","    </tr>\n","    <tr>\n","      <th>3003605</th>\n","      <td>N0000011281</td>\n","      <td>J01CA</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>971 rows × 2 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bf80eacf-0f03-4daf-b9e4-2740f1c8ca85')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-bf80eacf-0f03-4daf-b9e4-2740f1c8ca85 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Use on_bad_lines in the future.\n","\n","\n","  sympgan = pd.read_csv(file_path, sep=\"\\t\", header=None, error_bad_lines=False)\n","Skipping line 91082: expected 3 fields, saw 5\n","Skipping line 227422: expected 3 fields, saw 4\n","\n","Skipping line 409122: expected 3 fields, saw 5\n","\n","Skipping line 542406: expected 3 fields, saw 4\n","Skipping line 713943: expected 3 fields, saw 4\n","\n","Skipping line 842093: expected 3 fields, saw 5\n","Skipping line 922753: expected 3 fields, saw 4\n","\n"]}],"source":["# Specify the path to your text file\n","file_path = './sympgan/SympGAN_KG.txt'\n","\n","# Read the data into a pandas DataFrame, skipping lines with errors\n","sympgan = pd.read_csv(file_path, sep=\"\\t\", header=None, error_bad_lines=False)\n","sympgan.columns = ['SOURCE', 'REL', 'DEST']"]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":300,"status":"ok","timestamp":1701775943830,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"Utb8BLGXuMqL","outputId":"be01a306-00bb-4271-ba74-6956cdefe4b0"},"outputs":[{"data":{"text/plain":["935640     DB00738\n","935641     DB06148\n","935642     DB01012\n","935643     DB00198\n","935644     DB00320\n","            ...   \n","1192982    DB00673\n","1192983    DB00765\n","1192984    DB01268\n","1192985    DB01073\n","1192986    DB00603\n","Name: DEST, Length: 123462, dtype: object"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["sympgan_symp_drug = sympgan[sympgan['REL'] == 'sym_drug']\n","sympgan_symp_drug['DEST']"]},{"cell_type":"code","execution_count":36,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":286,"status":"ok","timestamp":1701776606677,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"opHfqDKmNhbR","outputId":"8b1d9eb8-c657-4b05-d8d8-0eed649be6dd"},"outputs":[{"data":{"text/plain":["1518267    DB00003\n","1518268    DB00004\n","1518269    DB00005\n","1518270    DB00005\n","1518271    DB00005\n","            ...   \n","1523230    DB15528\n","1523231    DB15566\n","1523232    DB15593\n","1523233    DB15595\n","1523234    DB15598\n","Name: Gene::2157, Length: 4968, dtype: object"]},"execution_count":36,"metadata":{},"output_type":"execute_result"}],"source":["drkg_med_dis_final['Gene::2157']"]},{"cell_type":"code","execution_count":37,"metadata":{"executionInfo":{"elapsed":504,"status":"ok","timestamp":1701776613326,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"ahbccFGLu74a"},"outputs":[],"source":["sympgan_symp_drug = sympgan_symp_drug[sympgan_symp_drug['DEST'].isin(drkg_med_dis_final['Gene::2157'])]"]},{"cell_type":"code","execution_count":38,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":308,"status":"ok","timestamp":1701776624184,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"2s5wuW6WNDUT","outputId":"fe3cc70d-a20e-491c-d7fb-7398f109613d"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-88c146eb-3a1c-45ea-a4c7-74a0f4a6c2ff\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody 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metà"]},{"cell_type":"code","execution_count":5,"metadata":{"executionInfo":{"elapsed":372,"status":"ok","timestamp":1701776660843,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"PcanCO_lNefg"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Unnamed: 0</th>\n","      <th>ICD9_Code</th>\n","      <th>CUI</th>\n","      <th>name</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>10.42</td>\n","      <td>C0176199</td>\n","      <td>Reconstruction of conjunctival cul-de-sac 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pterygium</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>7</td>\n","      <td>11.49</td>\n","      <td>C0176212</td>\n","      <td>Other removal or destruction of corneal lesion</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>8</td>\n","      <td>11.52</td>\n","      <td>C0197453</td>\n","      <td>Repair of postoperative wound dehiscence of co...</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>9</td>\n","      <td>11.63</td>\n","      <td>C0197444</td>\n","      <td>Penetrating keratoplasty with autograft</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Unnamed: 0 ICD9_Code       CUI  \\\n","0           0     10.42  C0176199   \n","1           1     10.49  C0176202   \n","2           2      10.5  C0176203   \n","3           3      10.9  C0175568   \n","4           4     10.91  C0197180   \n","5           5     11.00       NaN   \n","6           6     11.39  C0176209   \n","7           7     11.49  C0176212   \n","8           8     11.52  C0197453   \n","9           9     11.63  C0197444   \n","\n","                                                name  \n","0  Reconstruction of conjunctival cul-de-sac with...  \n","1                            Other conjunctivoplasty  \n","2       Lysis of adhesions of conjunctiva and eyelid  \n","3                    Other operations on conjunctiva  \n","4                          Subconjunctival injection  \n","5                                                NaN  \n","6                        Other excision of pterygium  \n","7     Other removal or destruction of corneal lesion  \n","8  Repair of postoperative wound dehiscence of co...  \n","9            Penetrating keratoplasty with autograft  "]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["df_CUI_ICD = pd.read_csv('./sympgan/ICD9_CUI_mapping.csv')\n","df_CUI_ICD.head(10)"]},{"cell_type":"code","execution_count":42,"metadata":{"executionInfo":{"elapsed":457,"status":"ok","timestamp":1701776670539,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"JQxayNLmVc9P"},"outputs":[],"source":["sympgan_cui_symp_drug = sympgan_symp_drug[sympgan_symp_drug['SOURCE'].isin(df_CUI_ICD['CUI'])]"]},{"cell_type":"code","execution_count":43,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":394,"status":"ok","timestamp":1701776672914,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"r03FOZ83WR79","outputId":"14df9071-ade4-44d9-e426-afa5360bde7b"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-aea16407-f0dd-4254-b647-bf5de199d781\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: 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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-f3283e13-1fe5-43b5-8333-e14934ecb49c\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f3283e13-1fe5-43b5-8333-e14934ecb49c')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-f3283e13-1fe5-43b5-8333-e14934ecb49c button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["          SOURCE       REL     DEST\n","935642  C0011175  sym_drug  DB01012\n","935647  C0019079  sym_drug  DB00569\n","935657  C0008031  sym_drug  DB01215\n","935659  C0010520  sym_drug  DB00813\n","935662  C0000737  sym_drug  DB00494\n","...          ...       ...      ...\n","997352  C0013404  sym_drug  DB01129\n","997356  C0008031  sym_drug  DB00338\n","997360  C0013604  sym_drug  DB00654\n","997367  C0040034  sym_drug  DB00765\n","997369  C1384666  sym_drug  DB01073\n","\n","[10011 rows x 3 columns]"]},"execution_count":43,"metadata":{},"output_type":"execute_result"}],"source":["sympgan_cui_symp_drug.drop_duplicates()"]},{"cell_type":"code","execution_count":44,"metadata":{"executionInfo":{"elapsed":325,"status":"ok","timestamp":1701776677017,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"mf23YmJLW_Di"},"outputs":[],"source":["# Esegui la mappatura utilizzando il metodo merge\n","sympgan_cui_symp_drug = pd.merge(sympgan_cui_symp_drug, df_CUI_ICD, left_on='SOURCE', right_on='CUI', how='left')"]},{"cell_type":"code","execution_count":45,"metadata":{"executionInfo":{"elapsed":8,"status":"ok","timestamp":1701776678412,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"dVBIsl2Zagyr"},"outputs":[],"source":["sympgan_cui_symp_drug.drop_duplicates(inplace=True)\n","len(sympgan_cui_symp_drug)"]},{"cell_type":"code","execution_count":47,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":12725,"status":"ok","timestamp":1701777503093,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"q-EreI-KcCNt","outputId":"b9974705-3f4b-403b-d35e-0bfc6d812fe4"},"outputs":[{"name":"stderr","output_type":"stream","text":["Conversione: 100%|██████████| 10011/10011 [13:41<00:00, 12.18it/s]\n"]}],"source":["session = requests.Session()\n","\n","def converti_drug_in_atc(codice_mesh, api_key):\n","    url = f\"https://uts-ws.nlm.nih.gov/rest/crosswalk/current/source/DRUGBANK/{codice_mesh}?targetSource=ATC&apiKey={api_key}\"\n","\n","    response = session.get(url)\n","\n","    if response.status_code == 200:\n","        data = json.loads(response.text)\n","        codici_atc = [risultato[\"ui\"] for risultato in data[\"result\"]]\n","        # Prendi solo il primo risultato se ce ne sono più di uno\n","        return codici_atc[0] if codici_atc else None\n","    else:\n","        print(f\"Errore nella chiamata API: {response.status_code}\")\n","        return None\n","\n","# Chiave API\n","api_key = \"5ffff450-2c43-4fcd-808f-158cf91f14d2\"  # Sostituisci con la tua chiave API\n","\n","# Applica la conversione solo alle colonne specificate\n","for indice, riga in tqdm(sympgan_cui_symp_drug.iterrows(), total=len(sympgan_cui_symp_drug), desc=\"Conversione\"):\n","    codice_atc_1 = riga[\"DEST\"]\n","\n","    if isinstance(codice_atc_1, str):\n","        codice_atc_1 = converti_drug_in_atc(codice_atc_1, api_key)\n","        sympgan_cui_symp_drug.at[indice, \"DEST\"] = codice_atc_1 if codice_atc_1 else \"\""]},{"cell_type":"code","execution_count":48,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1701777503095,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"RX-_zrgLc4YG","outputId":"2858ae91-98c5-4bdc-c30d-c6d13ab3ee76"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-085aec2c-c417-46bc-8324-e18cef8aaef2\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>SOURCE</th>\n","      <th>REL</th>\n","      <th>DEST</th>\n","      <th>Unnamed: 0</th>\n","      <th>ICD9_Code</th>\n","      <th>CUI</th>\n","      <th>name</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>C0011175</td>\n","      <td>sym_drug</td>\n","      <td>H05BX01</td>\n","      <td>206</td>\n","      <td>276.51</td>\n","      <td>C0011175</td>\n","      <td>Dehydration</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>C0019079</td>\n","      <td>sym_drug</td>\n","      <td>B01AX05</td>\n","      <td>1217</td>\n","      <td>786.3</td>\n","      <td>C0019079</td>\n","      <td>Hemoptysis</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>C0008031</td>\n","      <td>sym_drug</td>\n","      <td>N05CD04</td>\n","      <td>1218</td>\n","      <td>786.50</td>\n","      <td>C0008031</td>\n","      <td>Chest pain, unspecified</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>C0010520</td>\n","      <td>sym_drug</td>\n","      <td>N01AH01</td>\n","      <td>1201</td>\n","      <td>782.5</td>\n","      <td>C0010520</td>\n","      <td>Cyanosis</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>C0000737</td>\n","      <td>sym_drug</td>\n","      <td>N04BX02</td>\n","      <td>1231</td>\n","      <td>789.00</td>\n","      <td>C0000737</td>\n","      <td>Abdominal pain, unspecified site</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>10006</th>\n","      <td>C0013404</td>\n","      <td>sym_drug</td>\n","      <td>A02BC04</td>\n","      <td>1215</td>\n","      <td>786.05</td>\n","      <td>C0013404</td>\n","      <td>Shortness of breath</td>\n","    </tr>\n","    <tr>\n","      <th>10007</th>\n","      <td>C0008031</td>\n","      <td>sym_drug</td>\n","      <td>A02BC01</td>\n","      <td>1218</td>\n","      <td>786.50</td>\n","      <td>C0008031</td>\n","      <td>Chest pain, unspecified</td>\n","    </tr>\n","    <tr>\n","      <th>10008</th>\n","      <td>C0013604</td>\n","      <td>sym_drug</td>\n","      <td>S01EE01</td>\n","      <td>1199</td>\n","      <td>782.3</td>\n","      <td>C0013604</td>\n","      <td>Edema</td>\n","    </tr>\n","    <tr>\n","      <th>10009</th>\n","      <td>C0040034</td>\n","      <td>sym_drug</td>\n","      <td>C02KB01</td>\n","      <td>231</td>\n","      <td>287.5</td>\n","      <td>C0040034</td>\n","      <td>Thrombocytopenia, unspecified</td>\n","    </tr>\n","    <tr>\n","      <th>10010</th>\n","      <td>C1384666</td>\n","      <td>sym_drug</td>\n","      <td>L01BB05</td>\n","      <td>473</td>\n","      <td>389.9</td>\n","      <td>C1384666</td>\n","      <td>Unspecified hearing loss</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>10011 rows × 7 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-085aec2c-c417-46bc-8324-e18cef8aaef2')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","   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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-7cc8e4a4-9d4e-469c-861b-dce44e6913c6\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7cc8e4a4-9d4e-469c-861b-dce44e6913c6')\"\n","            title=\"Suggest charts\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-7cc8e4a4-9d4e-469c-861b-dce44e6913c6 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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                                  name  \n","0                           Dehydration  \n","1                            Hemoptysis  \n","2               Chest pain, unspecified  \n","3                              Cyanosis  \n","4      Abdominal pain, unspecified site  \n","...                                 ...  \n","10006               Shortness of breath  \n","10007           Chest pain, unspecified  \n","10008                             Edema  \n","10009     Thrombocytopenia, unspecified  \n","10010          Unspecified hearing loss  \n","\n","[10011 rows x 7 columns]"]},"execution_count":48,"metadata":{},"output_type":"execute_result"}],"source":["sympgan_cui_symp_drug.head(50)"]},{"cell_type":"code","execution_count":49,"metadata":{"executionInfo":{"elapsed":3,"status":"ok","timestamp":1701777503095,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"idqLfaAzjuR4"},"outputs":[],"source":["columns_to_remove = ['SOURCE', 'REL', 'CUI', 'Unnamed: 0', 'name']\n","sympgan_cui_symp_drug.drop(columns=columns_to_remove, inplace=True)"]},{"cell_type":"code","execution_count":50,"metadata":{"executionInfo":{"elapsed":504,"status":"ok","timestamp":1701777503596,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"h_D16mg5pbh6"},"outputs":[],"source":["new_column_order = ['ICD9_Code', 'DEST']\n","\n","# Selezionare e riordinare le colonne\n","sympgan_cui_symp_drug = sympgan_cui_symp_drug[new_column_order]"]},{"cell_type":"code","execution_count":51,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"executionInfo":{"elapsed":0,"status":"ok","timestamp":1701777503881,"user":{"displayName":"MScThesis","userId":"00365830682954497745"},"user_tz":-60},"id":"C6LoZFR6qd_d","outputId":"754b360d-d6b9-445d-b0cf-de4ce60199c4"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-8b20672a-6bca-4f59-ae97-b7339d23d5f6\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    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