Failed to find the pandas get_adjustment() function to patch Failed to patch pandas - PandasTools will have limited functionality 🚀 Converting between string representations with the following parameters: subcommand: convert output: <_io.TextIOWrapper name='' mode='w' encoding='utf-8'> format: csv input: <_io.TextIOWrapper name='' mode='r' encoding='utf-8'> representation: SMILES column: smiles prefix: None to: ['id', 'smiles', 'scaffold', 'mwt', 'clogp', 'tpsa'] options: ['prefix=SCB-'] func: 0it [00:00, ?it/s] 1it [00:01, 1.22s/it] 2it [00:02, 1.18s/it] 3it [00:03, 1.21s/it] 4it [00:04, 1.20s/it] 5it [00:06, 1.21s/it] 6it [00:07, 1.21s/it] 7it [00:08, 1.20s/it] 8it [00:09, 1.21s/it] 9it [00:10, 1.21s/it] 10it [00:12, 1.22s/it] 11it [00:13, 1.22s/it] 12it [00:14, 1.21s/it] 13it [00:15, 1.20s/it] 14it [00:16, 1.20s/it] 15it [00:18, 1.19s/it] 16it [00:19, 1.19s/it] 17it [00:20, 1.19s/it] 18it [00:21, 1.20s/it] 19it [00:22, 1.22s/it] 20it [00:24, 1.24s/it] 21it [00:25, 1.24s/it] 22it 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[10:24, 1.31s/it] 483it [10:26, 1.32s/it] 484it [10:27, 1.34s/it] 485it [10:29, 1.35s/it] 486it [10:30, 1.35s/it] 487it [10:31, 1.34s/it] 488it [10:32, 1.31s/it] 489it [10:34, 1.30s/it] 490it [10:35, 1.31s/it] 491it [10:36, 1.32s/it] 492it [10:38, 1.32s/it] 493it [10:39, 1.31s/it] 494it [10:40, 1.33s/it] 495it [10:42, 1.34s/it] 496it [10:43, 1.34s/it] 497it [10:44, 1.33s/it] 498it [10:46, 1.33s/it] 499it [10:47, 1.33s/it] 500it [10:48, 1.32s/it] 501it [10:50, 1.33s/it] 502it [10:51, 1.30s/it] 503it [10:52, 1.29s/it] 504it [10:53, 1.31s/it] 505it [10:55, 1.31s/it] 506it [10:56, 1.31s/it] 507it [10:57, 1.32s/it] 508it [10:59, 1.32s/it] 509it [11:00, 1.33s/it] 510it [11:01, 1.34s/it] 511it [11:03, 1.35s/it] 512it [11:04, 1.35s/it] 513it [11:06, 1.35s/it] 514it [11:07, 1.34s/it] 515it [11:08, 1.34s/it] 516it [11:10, 1.34s/it] 517it [11:11, 1.34s/it] 518it [11:12, 1.34s/it] 519it [11:14, 1.32s/it] 520it [11:15, 1.32s/it] 521it [11:16, 1.32s/it] 522it [11:17, 1.30s/it] 523it [11:19, 1.31s/it] 524it [11:20, 1.32s/it] 525it [11:21, 1.33s/it] 526it [11:23, 1.35s/it] 527it [11:24, 1.35s/it] 528it [11:26, 1.33s/it] 529it [11:27, 1.34s/it] 530it [11:28, 1.34s/it] 531it [11:30, 1.35s/it] 532it [11:31, 1.35s/it] 533it [11:32, 1.36s/it] 534it [11:34, 1.38s/it] 535it [11:35, 1.36s/it] 536it [11:36, 1.36s/it] 537it [11:38, 1.34s/it] 538it [11:39, 1.33s/it] 539it [11:40, 1.34s/it] 540it [11:42, 1.35s/it] 541it [11:43, 1.35s/it] 542it [11:44, 1.33s/it] 543it [11:46, 1.33s/it] 544it [11:47, 1.32s/it] 545it [11:48, 1.33s/it] 546it [11:50, 1.33s/it] 547it [11:51, 1.34s/it] 548it [11:52, 1.32s/it] 549it [11:54, 1.33s/it] 550it [11:55, 1.35s/it] 551it [11:56, 1.35s/it] 552it [11:58, 1.36s/it] 553it [11:59, 1.36s/it] 554it [12:01, 1.36s/it] 555it [12:02, 1.36s/it] 556it [12:03, 1.36s/it] 557it [12:05, 1.36s/it] 558it [12:06, 1.35s/it] 559it [12:07, 1.33s/it] 560it [12:09, 1.32s/it] 561it [12:10, 1.32s/it] 562it [12:11, 1.33s/it] 563it [12:13, 1.32s/it] 564it [12:14, 1.32s/it] 565it [12:15, 1.33s/it] 566it [12:16, 1.33s/it] 567it [12:18, 1.32s/it] 568it [12:19, 1.32s/it] 569it [12:20, 1.33s/it] 570it [12:22, 1.31s/it] 571it [12:23, 1.30s/it] 572it [12:24, 1.31s/it] 573it [12:26, 1.32s/it] 574it [12:27, 1.31s/it] 575it [12:28, 1.31s/it] 576it [12:30, 1.32s/it] 577it [12:31, 1.32s/it] 578it [12:32, 1.33s/it] 579it [12:34, 1.33s/it] 580it [12:35, 1.33s/it] 581it [12:36, 1.32s/it] 582it [12:38, 1.33s/it] 583it [12:39, 1.33s/it] 584it [12:40, 1.34s/it] 585it [12:42, 1.35s/it] 586it [12:43, 1.34s/it] 587it [12:44, 1.34s/it] 588it [12:46, 1.35s/it] 589it [12:47, 1.35s/it] 590it [12:48, 1.34s/it] 591it [12:50, 1.34s/it] 592it [12:51, 1.31s/it] 593it [12:52, 1.31s/it] 594it [12:54, 1.31s/it] 595it [12:55, 1.32s/it] 596it [12:56, 1.34s/it] 597it [12:58, 1.34s/it] 598it [12:59, 1.34s/it] 599it [13:00, 1.32s/it] 600it [13:02, 1.30s/it] 601it [13:03, 1.30s/it] 602it [13:04, 1.31s/it] 603it [13:05, 1.31s/it] 604it [13:07, 1.32s/it] 605it [13:08, 1.32s/it] 606it [13:09, 1.32s/it] 607it [13:11, 1.33s/it] 608it [13:12, 1.33s/it] 609it [13:14, 1.33s/it] 610it [13:15, 1.35s/it] 611it [13:16, 1.35s/it] 612it [13:18, 1.37s/it] 613it [13:19, 1.37s/it] 614it [13:20, 1.36s/it] 615it [13:22, 1.37s/it] 616it [13:23, 1.37s/it] 617it [13:24, 1.36s/it] 618it [13:26, 1.36s/it] 619it [13:27, 1.36s/it] 620it [13:29, 1.36s/it] 621it [13:30, 1.35s/it] 622it [13:31, 1.34s/it] 623it [13:32, 1.32s/it] 624it [13:34, 1.33s/it] 625it [13:35, 1.34s/it] 626it [13:37, 1.35s/it] 627it [13:38, 1.36s/it] 628it [13:39, 1.35s/it] 629it [13:41, 1.35s/it] 630it [13:42, 1.35s/it] 631it [13:43, 1.36s/it] 632it [13:45, 1.36s/it] 633it [13:46, 1.37s/it] 634it [13:47, 1.36s/it] 635it [13:49, 1.34s/it] 636it [13:50, 1.34s/it] 637it [13:51, 1.33s/it] 638it [13:53, 1.33s/it] 639it [13:54, 1.33s/it] 640it [13:55, 1.33s/it] 641it [13:57, 1.33s/it] 642it [13:58, 1.33s/it] 643it [13:59, 1.34s/it] 644it [14:01, 1.34s/it] 645it [14:02, 1.35s/it] 646it [14:03, 1.34s/it] 647it [14:05, 1.35s/it] 648it [14:06, 1.35s/it] 649it [14:07, 1.35s/it] 650it [14:09, 1.36s/it] 651it [14:10, 1.36s/it] 652it [14:12, 1.37s/it] 653it [14:13, 1.36s/it] 654it [14:14, 1.36s/it] 655it [14:16, 1.32s/it] 656it [14:17, 1.33s/it] 657it [14:18, 1.34s/it] 658it [14:20, 1.35s/it] 659it [14:21, 1.34s/it] 660it [14:22, 1.34s/it] 661it [14:24, 1.34s/it] 662it [14:25, 1.33s/it] 663it [14:26, 1.33s/it] 664it [14:28, 1.33s/it] 665it [14:29, 1.34s/it] 666it [14:30, 1.33s/it] 667it [14:32, 1.33s/it] 668it [14:33, 1.33s/it] 669it [14:34, 1.31s/it] 670it [14:35, 1.31s/it] 671it [14:37, 1.32s/it] 672it [14:38, 1.33s/it] 673it [14:39, 1.31s/it] 674it [14:41, 1.29s/it] 675it [14:42, 1.29s/it] 676it [14:43, 1.30s/it] 677it [14:45, 1.31s/it] 678it [14:46, 1.31s/it] 679it [14:47, 1.31s/it] 680it [14:49, 1.31s/it] 681it [14:50, 1.32s/it] 682it [14:51, 1.33s/it] 683it [14:53, 1.32s/it] 684it [14:54, 1.32s/it] 685it [14:55, 1.31s/it] 686it [14:56, 1.30s/it] 687it [14:58, 1.30s/it] 688it [14:59, 1.29s/it] 689it [15:00, 1.30s/it] 690it [15:02, 1.30s/it] 691it [15:03, 1.30s/it] 692it [15:04, 1.30s/it] 693it [15:06, 1.30s/it] 694it [15:07, 1.31s/it] 695it [15:08, 1.31s/it] 696it [15:09, 1.31s/it] 697it [15:11, 1.32s/it] 698it [15:12, 1.32s/it] 699it [15:13, 1.32s/it] 700it [15:15, 1.29s/it] 701it [15:16, 1.30s/it] 702it [15:17, 1.27s/it] 703it [15:19, 1.28s/it] 704it [15:20, 1.28s/it] 705it [15:21, 1.27s/it] 706it [15:22, 1.29s/it] 707it [15:24, 1.30s/it] 708it [15:25, 1.31s/it] 709it [15:26, 1.31s/it] 710it [15:28, 1.32s/it] 711it [15:29, 1.31s/it] 712it [15:30, 1.32s/it] 713it [15:32, 1.35s/it] 714it [15:33, 1.36s/it] 715it [15:35, 1.38s/it] 716it [15:36, 1.37s/it] 717it [15:37, 1.35s/it] 718it [15:39, 1.35s/it] 719it [15:40, 1.36s/it] 720it [15:41, 1.36s/it] 721it [15:43, 1.36s/it] 722it [15:44, 1.37s/it] 723it [15:45, 1.36s/it] 724it [15:47, 1.36s/it] 725it [15:48, 1.36s/it] 726it [15:49, 1.36s/it] 727it [15:51, 1.36s/it] 728it [15:52, 1.35s/it] 729it [15:54, 1.36s/it] 730it [15:55, 1.35s/it] 731it [15:56, 1.35s/it] 732it [15:58, 1.34s/it] 733it [15:59, 1.34s/it] 734it [16:00, 1.32s/it] 735it [16:02, 1.33s/it] 736it [16:03, 1.35s/it] 737it [16:04, 1.34s/it] 738it [16:06, 1.35s/it] 739it [16:07, 1.36s/it] 740it [16:08, 1.36s/it] 741it [16:10, 1.36s/it] 742it [16:11, 1.37s/it] 743it [16:12, 1.37s/it] 744it [16:14, 1.36s/it] 745it [16:15, 1.36s/it] 746it [16:16, 1.36s/it] 747it [16:18, 1.36s/it] 748it [16:19, 1.37s/it] 749it [16:21, 1.36s/it] 750it [16:22, 1.35s/it] 751it [16:23, 1.34s/it] 752it [16:25, 1.35s/it] 753it [16:26, 1.34s/it] 754it [16:27, 1.34s/it] 755it [16:29, 1.35s/it] 756it [16:30, 1.35s/it] 757it [16:31, 1.36s/it] 758it [16:33, 1.37s/it] 759it [16:34, 1.37s/it] 760it [16:36, 1.38s/it] 761it [16:37, 1.39s/it] 762it [16:38, 1.38s/it] 763it [16:40, 1.38s/it] 764it [16:41, 1.39s/it] 765it [16:42, 1.39s/it] 766it [16:44, 1.40s/it] 767it [16:45, 1.39s/it] 768it [16:47, 1.40s/it] 769it [16:48, 1.39s/it] 770it [16:49, 1.39s/it] 771it [16:51, 1.40s/it] 772it [16:52, 1.40s/it] 773it [16:54, 1.39s/it] 774it [16:55, 1.38s/it] 775it [16:56, 1.36s/it] 776it [16:58, 1.36s/it] 777it [16:59, 1.33s/it] 778it [17:00, 1.35s/it] 779it [17:02, 1.34s/it] 780it [17:03, 1.35s/it] 781it [17:04, 1.36s/it] 782it [17:06, 1.38s/it] 783it [17:07, 1.39s/it] 784it [17:09, 1.38s/it] 785it [17:10, 1.38s/it] 786it [17:11, 1.36s/it] 787it [17:13, 1.35s/it] 788it [17:14, 1.34s/it] 789it [17:15, 1.31s/it] 790it [17:16, 1.28s/it] 791it [17:18, 1.27s/it] 792it [17:19, 1.25s/it] 793it [17:20, 1.26s/it] 794it [17:21, 1.25s/it] 795it [17:23, 1.25s/it] 796it [17:24, 1.25s/it] 797it [17:25, 1.25s/it] 798it [17:26, 1.23s/it] 799it [17:27, 1.23s/it] 800it [17:29, 1.24s/it] 801it [17:30, 1.25s/it] 802it [17:31, 1.25s/it] 803it [17:32, 1.23s/it] 804it [17:34, 1.25s/it] 805it [17:35, 1.26s/it] 806it [17:36, 1.23s/it] 807it [17:37, 1.21s/it] 808it [17:39, 1.22s/it] 809it [17:40, 1.23s/it] 810it [17:41, 1.25s/it] 811it [17:42, 1.27s/it] 812it [17:44, 1.25s/it] 813it [17:45, 1.27s/it] 814it [17:46, 1.26s/it] 815it [17:47, 1.26s/it] 816it [17:49, 1.26s/it] 817it [17:50, 1.26s/it] 818it [17:51, 1.25s/it] 819it [17:53, 1.26s/it] 820it [17:54, 1.28s/it] 821it [17:55, 1.27s/it] 822it [17:56, 1.26s/it] 823it [17:58, 1.24s/it] 824it [17:59, 1.24s/it] 825it [18:00, 1.25s/it] 826it [18:01, 1.25s/it] 827it [18:03, 1.26s/it] 828it [18:04, 1.26s/it] 829it [18:05, 1.25s/it] 830it [18:06, 1.24s/it] 831it [18:07, 1.24s/it] 832it [18:09, 1.21s/it] 833it [18:10, 1.21s/it] 834it [18:11, 1.19s/it] 835it [18:12, 1.19s/it] 836it [18:13, 1.21s/it] 837it [18:15, 1.22s/it] 838it [18:16, 1.25s/it] 839it [18:17, 1.23s/it] 840it [18:18, 1.24s/it] 841it [18:20, 1.25s/it] 842it [18:21, 1.24s/it] 843it [18:22, 1.24s/it] 844it [18:23, 1.22s/it] 845it [18:24, 1.21s/it] 846it [18:26, 1.20s/it] 847it [18:27, 1.20s/it] 848it [18:28, 1.23s/it] 849it [18:29, 1.22s/it] 850it [18:31, 1.21s/it] 851it [18:32, 1.21s/it] 852it [18:33, 1.22s/it] 853it [18:34, 1.21s/it] 854it [18:36, 1.24s/it] 855it [18:37, 1.24s/it] 856it [18:38, 1.24s/it] 857it [18:39, 1.22s/it] 858it [18:40, 1.21s/it] 859it [18:42, 1.22s/it] 860it [18:43, 1.21s/it] 861it [18:44, 1.21s/it] 862it [18:45, 1.21s/it] 863it [18:46, 1.21s/it] 864it [18:48, 1.21s/it] 865it [18:49, 1.21s/it] 866it [18:50, 1.20s/it] 867it [18:51, 1.20s/it] 868it [18:52, 1.22s/it] 869it [18:54, 1.23s/it] 870it [18:55, 1.22s/it] 871it [18:56, 1.21s/it] 872it [18:57, 1.20s/it] 873it [18:59, 1.22s/it] 874it [19:00, 1.21s/it] 875it [19:01, 1.19s/it] 876it [19:02, 1.20s/it] 877it [19:03, 1.21s/it] 878it [19:05, 1.21s/it] 879it [19:06, 1.20s/it] 880it [19:07, 1.20s/it] 881it [19:08, 1.21s/it] 882it [19:09, 1.21s/it] 883it [19:11, 1.21s/it] 884it [19:12, 1.21s/it] 885it [19:13, 1.21s/it] 886it [19:14, 1.23s/it] 887it [19:15, 1.23s/it] 888it [19:17, 1.22s/it] 889it [19:18, 1.23s/it] 890it [19:19, 1.23s/it] 891it [19:20, 1.25s/it] 892it [19:22, 1.23s/it] 893it [19:23, 1.22s/it] 894it [19:24, 1.22s/it] 895it [19:25, 1.22s/it] 896it [19:27, 1.24s/it] 897it [19:28, 1.22s/it] 898it [19:29, 1.21s/it] 899it [19:30, 1.24s/it] 900it [19:31, 1.23s/it] 901it [19:33, 1.23s/it] 902it [19:34, 1.23s/it] 903it [19:35, 1.22s/it] 904it [19:36, 1.20s/it] 905it [19:37, 1.19s/it] 906it [19:39, 1.20s/it] 907it [19:40, 1.20s/it] 908it [19:41, 1.21s/it] 909it [19:42, 1.20s/it] 910it [19:43, 1.19s/it] 911it [19:45, 1.20s/it] 912it [19:46, 1.26s/it] 913it [19:47, 1.25s/it] 914it [19:48, 1.22s/it] 915it [19:50, 1.20s/it] 916it [19:51, 1.22s/it] 917it [19:52, 1.22s/it] 918it [19:53, 1.21s/it] 919it [19:54, 1.21s/it] 920it [19:56, 1.22s/it] 921it [19:57, 1.23s/it] 922it [19:58, 1.22s/it] 923it [19:59, 1.20s/it] 924it [20:01, 1.22s/it] 925it [20:02, 1.23s/it] 926it [20:03, 1.21s/it] 927it [20:04, 1.19s/it] 928it [20:05, 1.21s/it] 929it [20:07, 1.21s/it] 930it [20:08, 1.20s/it] 931it [20:09, 1.21s/it] 932it [20:10, 1.20s/it] 933it [20:11, 1.19s/it] 934it [20:13, 1.20s/it] 935it [20:14, 1.21s/it] 936it [20:15, 1.20s/it] 937it [20:16, 1.20s/it] 938it [20:17, 1.21s/it] 939it [20:19, 1.22s/it] 940it [20:20, 1.22s/it] 941it [20:21, 1.20s/it] 942it [20:22, 1.20s/it] 943it [20:23, 1.21s/it] 944it [20:25, 1.23s/it] 945it [20:26, 1.22s/it] 946it [20:27, 1.25s/it] 947it [20:28, 1.24s/it] 948it [20:30, 1.21s/it] 949it [20:31, 1.20s/it] 950it [20:32, 1.19s/it] 951it [20:33, 1.18s/it] 952it [20:34, 1.18s/it] 953it [20:35, 1.18s/it] 954it [20:37, 1.19s/it] 955it [20:38, 1.19s/it] 956it [20:39, 1.20s/it] 957it [20:40, 1.20s/it] 958it [20:42, 1.21s/it] 959it [20:43, 1.21s/it] 960it [20:44, 1.21s/it] 961it [20:45, 1.22s/it] 962it [20:46, 1.21s/it] 963it [20:48, 1.21s/it] 964it [20:49, 1.19s/it] 965it [20:50, 1.21s/it] 966it [20:51, 1.26s/it] 967it [20:52, 1.21s/it] 968it [20:54, 1.19s/it] 969it [20:55, 1.19s/it] 970it [20:56, 1.19s/it] 971it [20:57, 1.21s/it] 972it [20:59, 1.24s/it] 973it [21:00, 1.27s/it] 974it [21:01, 1.28s/it] 975it [21:02, 1.28s/it] 976it [21:04, 1.29s/it] 977it [21:05, 1.30s/it] 978it [21:06, 1.31s/it] 979it [21:08, 1.28s/it] 980it [21:09, 1.29s/it] 981it [21:10, 1.29s/it] 982it [21:11, 1.25s/it] 983it [21:13, 1.22s/it] 984it [21:14, 1.20s/it] 985it [21:15, 1.21s/it] 986it [21:16, 1.21s/it] 987it [21:17, 1.24s/it] 988it [21:19, 1.24s/it] 989it [21:20, 1.25s/it] 990it [21:21, 1.23s/it] 991it [21:22, 1.24s/it] 992it [21:24, 1.25s/it] 993it [21:25, 1.27s/it] 994it [21:26, 1.27s/it] 995it [21:28, 1.29s/it] 996it [21:29, 1.30s/it] 997it [21:30, 1.28s/it] 998it [21:31, 1.25s/it] 999it [21:32, 1.21s/it] 1000it [21:34, 1.20s/it] 1000it [21:34, 1.29s/it] Error counts: id: 0 smiles: 0 scaffold: 0 mwt: 0 clogp: 0 tpsa: 0 ⏰ Completed process in 0:21:34.585908