From 38ef9993efe62a738387e9aa621b239be30d3ee0 Mon Sep 17 00:00:00 2001 From: wout4 Date: Thu, 4 Jul 2024 12:28:51 +0200 Subject: [PATCH] CP 2024 snapshot --- README.MD | 36 + bug_minimization.py | 162 ++++ categorize_bugs.py | 915 ++++++++++++++++++ equivalance check.py | 154 +++ metamorphic_tests.py | 157 +++ model_counting.py | 149 +++ model_stats.py | 37 + .../sat/Pickled16878061409334269 | Bin 0 -> 438 bytes .../sat/Pickled1687806140942426 | Bin 0 -> 548 bytes .../sat/Pickled16878061409568598 | Bin 0 -> 437 bytes .../sat/Pickled16878061409720914 | Bin 0 -> 547 bytes .../sat/Pickled16878061409892302 | Bin 0 -> 410 bytes .../sat/Pickled16878061410046487 | Bin 0 -> 490 bytes .../sat/Pickled1687806141020045 | Bin 0 -> 383 bytes .../sat/Pickled1687806141035579 | Bin 0 -> 433 bytes .../sat/Pickled1687806141051539 | Bin 0 -> 412 bytes .../sat/Pickled16878061410677361 | Bin 0 -> 412 bytes .../sat/Pickled1687806141082053 | Bin 0 -> 472 bytes .../sat/Pickled16878061410980365 | Bin 0 -> 476 bytes .../sat/Pickled16878061411140559 | Bin 0 -> 446 bytes .../sat/Pickled16878061411291885 | Bin 0 -> 606 bytes .../sat/Pickled16878061411479018 | Bin 0 -> 513 bytes .../sat/Pickled16878061411607172 | Bin 0 -> 530 bytes .../sat/Pickled16878061411767163 | Bin 0 -> 488 bytes .../sat/Pickled16878061411933148 | Bin 0 -> 526 bytes .../sat/Pickled16878061412086964 | Bin 0 -> 529 bytes .../sat/Pickled16878061412237582 | Bin 0 -> 545 bytes .../sat/Pickled16878061412384334 | Bin 0 -> 503 bytes .../sat/Pickled16878061412538216 | Bin 0 -> 541 bytes .../sat/Pickled16878061412692938 | Bin 0 -> 483 bytes .../sat/Pickled1687806141285509 | Bin 0 -> 499 bytes .../sat/Pickled16878061412997108 | Bin 0 -> 457 bytes .../sat/Pickled16878061413150356 | Bin 0 -> 495 bytes .../sat/Pickled1687806141331768 | Bin 0 -> 483 bytes .../sat/Pickled16878061413476145 | Bin 0 -> 505 bytes .../sat/Pickled16878061413635914 | Bin 0 -> 463 bytes .../sat/Pickled16878061413796241 | Bin 0 -> 501 bytes 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| Bin 0 -> 489 bytes .../sat/Pickled16878061416965404 | Bin 0 -> 527 bytes .../sat/Pickled16878061417115405 | Bin 0 -> 530 bytes .../sat/Pickled16878061417259924 | Bin 0 -> 546 bytes .../sat/Pickled16878061417423167 | Bin 0 -> 504 bytes .../sat/Pickled1687806141756627 | Bin 0 -> 542 bytes .../sat/Pickled16878061417726998 | Bin 0 -> 484 bytes .../sat/Pickled16878061417897 | Bin 0 -> 500 bytes .../sat/Pickled16878061418056972 | Bin 0 -> 458 bytes .../sat/Pickled16878061418207912 | Bin 0 -> 496 bytes .../sat/Pickled16878061418376932 | Bin 0 -> 484 bytes .../sat/Pickled16878061418526957 | Bin 0 -> 503 bytes .../sat/Pickled16878061418686972 | Bin 0 -> 461 bytes .../sat/Pickled16878061418846965 | Bin 0 -> 499 bytes .../sat/Pickled1687806141900031 | Bin 0 -> 456 bytes .../sat/Pickled16878061419145133 | Bin 0 -> 472 bytes .../sat/Pickled16878061419304242 | Bin 0 -> 430 bytes .../sat/Pickled168780614194545 | Bin 0 -> 468 bytes .../sat/Pickled1687806141962453 | Bin 0 -> 486 bytes 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Bin 0 -> 542 bytes .../sat/Pickled16878061422742493 | Bin 0 -> 484 bytes .../sat/Pickled16878061422902486 | Bin 0 -> 500 bytes .../sat/Pickled16878061423084729 | Bin 0 -> 458 bytes .../sat/Pickled1687806142320831 | Bin 0 -> 496 bytes .../sat/Pickled16878061423374925 | Bin 0 -> 484 bytes .../sat/Pickled16878061423521705 | Bin 0 -> 503 bytes .../sat/Pickled1687806142368395 | Bin 0 -> 461 bytes .../sat/Pickled16878061423834379 | Bin 0 -> 502 bytes .../sat/Pickled16878061423994415 | Bin 0 -> 456 bytes .../sat/Pickled16878061424144382 | Bin 0 -> 472 bytes .../sat/Pickled16878061424315445 | Bin 0 -> 430 bytes .../sat/Pickled16878061424495378 | Bin 0 -> 468 bytes .../sat/Pickled16878061424634376 | Bin 0 -> 486 bytes .../sat/Pickled16878061424794588 | Bin 0 -> 502 bytes .../sat/Pickled16878061424964378 | Bin 0 -> 460 bytes .../sat/Pickled16878061425114377 | Bin 0 -> 498 bytes .../sat/Pickled1687806142526986 | Bin 0 -> 456 bytes .../sat/Pickled16878061425430636 | Bin 0 -> 472 bytes .../sat/Pickled1687806142556509 | Bin 0 -> 430 bytes .../sat/Pickled16878061425745401 | Bin 0 -> 468 bytes .../sat/Pickled16878061425884936 | Bin 0 -> 453 bytes .../sat/Pickled16878061426044922 | Bin 0 -> 466 bytes .../sat/Pickled16878061426214957 | Bin 0 -> 424 bytes .../sat/Pickled16878061426385012 | Bin 0 -> 465 bytes .../sat/Pickled16878061426534967 | Bin 0 -> 521 bytes .../sat/Pickled16878061426687603 | Bin 0 -> 531 bytes .../sat/Pickled16878061426857479 | Bin 0 -> 489 bytes .../sat/Pickled16878061427006528 | Bin 0 -> 527 bytes .../sat/Pickled1687806142715655 | Bin 0 -> 530 bytes .../sat/Pickled1687806142731666 | Bin 0 -> 546 bytes .../sat/Pickled1687806142747154 | Bin 0 -> 504 bytes .../sat/Pickled168780614276134 | Bin 0 -> 542 bytes .../sat/Pickled16878061427777693 | Bin 0 -> 484 bytes .../sat/Pickled16878061427921307 | Bin 0 -> 500 bytes .../sat/Pickled16878061428152409 | Bin 0 -> 458 bytes .../sat/Pickled1687806142826131 | Bin 0 -> 496 bytes .../sat/Pickled16878061428441355 | Bin 0 -> 484 bytes .../sat/Pickled16878061428571303 | Bin 0 -> 503 bytes .../sat/Pickled16878061428751307 | Bin 0 -> 461 bytes .../sat/Pickled16878061428911345 | Bin 0 -> 502 bytes .../sat/Pickled168780614290513 | Bin 0 -> 456 bytes .../sat/Pickled16878061429211857 | Bin 0 -> 472 bytes .../sat/Pickled16878061429401774 | Bin 0 -> 430 bytes .../sat/Pickled16878061429536822 | Bin 0 -> 468 bytes .../sat/Pickled16878061429687777 | Bin 0 -> 486 bytes .../sat/Pickled16878061429836903 | Bin 0 -> 502 bytes .../sat/Pickled16878061430005798 | Bin 0 -> 460 bytes .../sat/Pickled1687806143015586 | Bin 0 -> 498 bytes .../sat/Pickled16878061430325813 | Bin 0 -> 456 bytes .../sat/Pickled1687806143048929 | Bin 0 -> 472 bytes .../sat/Pickled16878061430619261 | Bin 0 -> 430 bytes .../sat/Pickled16878061430798597 | Bin 0 -> 468 bytes .../sat/Pickled16878061430968478 | Bin 0 -> 453 bytes .../sat/Pickled1687806143109946 | Bin 0 -> 466 bytes .../sat/Pickled16878061431255422 | Bin 0 -> 424 bytes 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Bin 0 -> 472 bytes .../sat/Pickled16878061434476476 | Bin 0 -> 430 bytes .../sat/Pickled16878061434596536 | Bin 0 -> 468 bytes .../sat/Pickled16878061434746373 | Bin 0 -> 486 bytes .../sat/Pickled16878061434926896 | Bin 0 -> 502 bytes .../sat/Pickled16878061435056412 | Bin 0 -> 460 bytes .../sat/Pickled16878061435236464 | Bin 0 -> 498 bytes .../sat/Pickled16878061435376375 | Bin 0 -> 456 bytes .../sat/Pickled16878061435534399 | Bin 0 -> 472 bytes .../sat/Pickled1687806143568432 | Bin 0 -> 430 bytes .../sat/Pickled1687806143585169 | Bin 0 -> 468 bytes .../sat/Pickled16878061436001232 | Bin 0 -> 453 bytes .../sat/Pickled16878061436201115 | Bin 0 -> 466 bytes .../sat/Pickled16878061436331284 | Bin 0 -> 424 bytes .../sat/Pickled16878061436491222 | Bin 0 -> 462 bytes .../sat/Pickled16878061436651266 | Bin 0 -> 514 bytes .../sat/Pickled16878061436831326 | Bin 0 -> 530 bytes .../sat/Pickled16878061436961224 | Bin 0 -> 488 bytes .../sat/Pickled16878061437151287 | Bin 0 -> 526 bytes 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| Bin 0 -> 459 bytes .../sat/Pickled16878061440284483 | Bin 0 -> 497 bytes .../sat/Pickled16878061440454514 | Bin 0 -> 455 bytes .../sat/Pickled16878061440594525 | Bin 0 -> 471 bytes .../sat/Pickled16878061440745342 | Bin 0 -> 429 bytes .../sat/Pickled16878061440904472 | Bin 0 -> 467 bytes .../sat/Pickled16878061441084678 | Bin 0 -> 452 bytes .../sat/Pickled16878061441224523 | Bin 0 -> 465 bytes .../sat/Pickled16878061441395433 | Bin 0 -> 423 bytes .../sat/Pickled1687806144155548 | Bin 0 -> 461 bytes .../sat/Pickled168780614416993 | Bin 0 -> 547 bytes .../sat/Pickled16878061441859448 | Bin 0 -> 563 bytes .../sat/Pickled1687806144201231 | Bin 0 -> 521 bytes .../sat/Pickled16878061442162924 | Bin 0 -> 559 bytes .../sat/Pickled16878061442353404 | Bin 0 -> 547 bytes .../sat/Pickled16878061442503345 | Bin 0 -> 569 bytes .../sat/Pickled16878061442663345 | Bin 0 -> 527 bytes .../sat/Pickled16878061442823405 | Bin 0 -> 565 bytes .../sat/Pickled1687806144298336 | Bin 0 -> 698 bytes 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| Bin 0 -> 560 bytes .../sat/Pickled16878061446111948 | Bin 0 -> 548 bytes .../sat/Pickled1687806144626166 | Bin 0 -> 570 bytes .../sat/Pickled16878061446411695 | Bin 0 -> 528 bytes .../sat/Pickled16878061446621604 | Bin 0 -> 566 bytes .../sat/Pickled16878061446752563 | Bin 0 -> 699 bytes .../sat/Pickled1687806144691247 | Bin 0 -> 735 bytes .../sat/Pickled16878061447061684 | Bin 0 -> 693 bytes .../sat/Pickled16878061447222092 | Bin 0 -> 731 bytes .../sat/Pickled168780614473717 | Bin 0 -> 548 bytes .../sat/Pickled1687806144754373 | Bin 0 -> 564 bytes .../sat/Pickled16878061447693677 | Bin 0 -> 522 bytes .../sat/Pickled16878061447853744 | Bin 0 -> 560 bytes .../sat/Pickled16878061447996147 | Bin 0 -> 548 bytes .../sat/Pickled16878061448165033 | Bin 0 -> 570 bytes .../sat/Pickled16878061448310816 | Bin 0 -> 528 bytes .../sat/Pickled16878061448470883 | Bin 0 -> 566 bytes .../sat/Pickled16878061448630688 | Bin 0 -> 699 bytes .../sat/Pickled16878061448801987 | Bin 0 -> 735 bytes .../sat/Pickled16878061448957126 | Bin 0 -> 693 bytes .../sat/Pickled1687806144910702 | Bin 0 -> 731 bytes .../sat/Pickled16878061449266865 | Bin 0 -> 548 bytes .../sat/Pickled16878061449436927 | Bin 0 -> 573 bytes .../sat/Pickled1687806144957687 | Bin 0 -> 531 bytes .../sat/Pickled16878061449757743 | Bin 0 -> 569 bytes .../sat/Pickled16878061449890985 | Bin 0 -> 557 bytes .../sat/Pickled16878061450070345 | Bin 0 -> 573 bytes .../sat/Pickled1687806145020744 | Bin 0 -> 531 bytes .../sat/Pickled16878061450407774 | Bin 0 -> 569 bytes .../sat/Pickled16878061450537596 | Bin 0 -> 702 bytes .../sat/Pickled16878061450707672 | Bin 0 -> 735 bytes .../sat/Pickled1687806145085758 | Bin 0 -> 693 bytes .../sat/Pickled16878061451037698 | Bin 0 -> 731 bytes .../sat/Pickled16878061451177642 | Bin 0 -> 547 bytes .../sat/Pickled16878061451327627 | Bin 0 -> 572 bytes .../sat/Pickled1687806145149761 | Bin 0 -> 521 bytes .../sat/Pickled16878061451657596 | Bin 0 -> 568 bytes .../sat/Pickled16878061451807585 | Bin 0 -> 547 bytes .../sat/Pickled16878061451948292 | Bin 0 -> 572 bytes .../sat/Pickled1687806145210874 | Bin 0 -> 521 bytes .../sat/Pickled16878061452267947 | Bin 0 -> 559 bytes .../sat/Pickled16878061452422261 | Bin 0 -> 692 bytes .../sat/Pickled16878061452572298 | Bin 0 -> 737 bytes .../sat/Pickled1687806145275232 | Bin 0 -> 692 bytes .../sat/Pickled16878061452912273 | Bin 0 -> 730 bytes .../sat/Pickled16878061453073082 | Bin 0 -> 488 bytes .../sat/Pickled16878061453282254 | Bin 0 -> 488 bytes .../sat/Pickled16878061453382294 | Bin 0 -> 503 bytes .../sat/Pickled16878061453542385 | Bin 0 -> 598 bytes .../sat/Pickled16878061453712287 | Bin 0 -> 598 bytes .../sat/Pickled16878061453882267 | Bin 0 -> 613 bytes .../sat/Pickled16878061454013426 | Bin 0 -> 487 bytes .../sat/Pickled16878061454192262 | Bin 0 -> 487 bytes .../sat/Pickled16878061454332292 | Bin 0 -> 502 bytes .../sat/Pickled16878061454500406 | Bin 0 -> 597 bytes .../sat/Pickled16878061454651988 | Bin 0 -> 597 bytes .../sat/Pickled16878061454826148 | Bin 0 -> 612 bytes .../sat/Pickled16878061454966114 | Bin 0 -> 457 bytes .../sat/Pickled1687806145513614 | Bin 0 -> 457 bytes .../sat/Pickled16878061455312717 | Bin 0 -> 475 bytes .../sat/Pickled16878061455432792 | Bin 0 -> 537 bytes .../sat/Pickled16878061455602825 | Bin 0 -> 537 bytes .../sat/Pickled16878061455747695 | Bin 0 -> 555 bytes .../sat/Pickled16878061456006615 | Bin 0 -> 433 bytes .../sat/Pickled16878061456225016 | Bin 0 -> 433 bytes .../sat/Pickled16878061456357138 | Bin 0 -> 448 bytes .../sat/Pickled16878061456527252 | Bin 0 -> 483 bytes .../sat/Pickled1687806145667028 | Bin 0 -> 483 bytes .../sat/Pickled16878061456860235 | Bin 0 -> 498 bytes .../sat/Pickled16878061456990335 | Bin 0 -> 475 bytes .../sat/Pickled16878061457210999 | Bin 0 -> 475 bytes .../sat/Pickled16878061457290106 | Bin 0 -> 462 bytes .../sat/Pickled16878061457460127 | Bin 0 -> 475 bytes .../sat/Pickled16878061457630143 | Bin 0 -> 475 bytes 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| Bin 0 -> 555 bytes .../sat/Pickled16878061461727884 | Bin 0 -> 564 bytes .../sat/Pickled16878061461874483 | Bin 0 -> 555 bytes .../sat/Pickled1687806146206431 | Bin 0 -> 555 bytes .../sat/Pickled16878061462185166 | Bin 0 -> 602 bytes .../sat/Pickled16878061462395985 | Bin 0 -> 593 bytes .../sat/Pickled16878061462496831 | Bin 0 -> 593 bytes .../sat/Pickled16878061462688513 | Bin 0 -> 605 bytes .../sat/Pickled16878061462809293 | Bin 0 -> 596 bytes .../sat/Pickled16878061462999575 | Bin 0 -> 596 bytes .../sat/Pickled16878061463179524 | Bin 0 -> 576 bytes .../sat/Pickled1687806146332957 | Bin 0 -> 570 bytes .../sat/Pickled16878061463449535 | Bin 0 -> 570 bytes .../sat/Pickled1687806146363865 | Bin 0 -> 576 bytes .../sat/Pickled16878061463768806 | Bin 0 -> 570 bytes .../sat/Pickled1687806146393881 | Bin 0 -> 570 bytes .../sat/Pickled16878061464078722 | Bin 0 -> 614 bytes .../sat/Pickled16878061464230874 | Bin 0 -> 608 bytes .../sat/Pickled16878061464430995 | Bin 0 -> 608 bytes .../sat/Pickled1687806146455098 | Bin 0 -> 553 bytes .../sat/Pickled16878061464721084 | Bin 0 -> 550 bytes .../sat/Pickled16878061464864025 | Bin 0 -> 550 bytes .../sat/Pickled16878061465054247 | Bin 0 -> 530 bytes .../sat/Pickled1687806146518681 | Bin 0 -> 524 bytes .../sat/Pickled16878061465393891 | Bin 0 -> 524 bytes .../sat/Pickled1687806146549619 | Bin 0 -> 530 bytes .../sat/Pickled16878061465660274 | Bin 0 -> 524 bytes .../sat/Pickled168780614658151 | Bin 0 -> 524 bytes .../sat/Pickled16878061465967386 | Bin 0 -> 568 bytes .../sat/Pickled16878061466147304 | Bin 0 -> 562 bytes .../sat/Pickled16878061466267252 | Bin 0 -> 562 bytes .../sat/Pickled16878061466427264 | Bin 0 -> 556 bytes .../sat/Pickled1687806146657223 | Bin 0 -> 553 bytes .../sat/Pickled16878061466746643 | Bin 0 -> 553 bytes .../sat/Pickled16878061466886628 | Bin 0 -> 527 bytes .../sat/Pickled16878061467049322 | Bin 0 -> 527 bytes .../sat/Pickled16878061467205112 | Bin 0 -> 527 bytes .../sat/Pickled16878061467339845 | Bin 0 -> 527 bytes .../sat/Pickled168780614675101 | Bin 0 -> 527 bytes .../sat/Pickled16878061467679868 | Bin 0 -> 527 bytes .../sat/Pickled1687806146784003 | Bin 0 -> 565 bytes .../sat/Pickled16878061468009884 | Bin 0 -> 565 bytes .../sat/Pickled16878061468149898 | Bin 0 -> 565 bytes .../sat/Pickled16878061468291361 | Bin 0 -> 522 bytes .../sat/Pickled16878061468451607 | Bin 0 -> 522 bytes .../sat/Pickled16878061468594668 | Bin 0 -> 522 bytes .../sat/Pickled16878061468767498 | Bin 0 -> 496 bytes .../sat/Pickled16878061468934422 | Bin 0 -> 496 bytes .../sat/Pickled1687806146909565 | Bin 0 -> 496 bytes .../sat/Pickled16878061469255645 | Bin 0 -> 496 bytes .../sat/Pickled1687806146939561 | Bin 0 -> 496 bytes .../sat/Pickled16878061469535596 | Bin 0 -> 496 bytes .../sat/Pickled1687806146968561 | Bin 0 -> 534 bytes .../sat/Pickled16878061469845614 | Bin 0 -> 534 bytes .../sat/Pickled16878061470015738 | Bin 0 -> 534 bytes .../sat/Pickled16878061470175667 | Bin 0 -> 552 bytes .../sat/Pickled1687806147032562 | Bin 0 -> 552 bytes .../sat/Pickled16878061470493433 | Bin 0 -> 552 bytes .../sat/Pickled16878061470633965 | Bin 0 -> 526 bytes .../sat/Pickled16878061470814817 | Bin 0 -> 526 bytes .../sat/Pickled16878061470954971 | Bin 0 -> 526 bytes .../sat/Pickled16878061471119184 | Bin 0 -> 526 bytes .../sat/Pickled1687806147126918 | Bin 0 -> 526 bytes .../sat/Pickled16878061471434767 | Bin 0 -> 526 bytes .../sat/Pickled16878061471599903 | Bin 0 -> 564 bytes .../sat/Pickled16878061471759412 | Bin 0 -> 564 bytes .../sat/Pickled16878061471899445 | Bin 0 -> 564 bytes .../sat/Pickled16878061472079422 | Bin 0 -> 522 bytes .../sat/Pickled1687806147223034 | Bin 0 -> 522 bytes .../sat/Pickled16878061472376502 | Bin 0 -> 522 bytes .../sat/Pickled16878061472515357 | Bin 0 -> 496 bytes .../sat/Pickled16878061472695813 | Bin 0 -> 496 bytes .../sat/Pickled16878061472836375 | Bin 0 -> 496 bytes .../sat/Pickled16878061473005419 | Bin 0 -> 496 bytes .../sat/Pickled16878061473147802 | Bin 0 -> 496 bytes .../sat/Pickled16878061473358884 | Bin 0 -> 496 bytes .../sat/Pickled16878061473477814 | Bin 0 -> 534 bytes .../sat/Pickled16878061473647788 | Bin 0 -> 534 bytes .../sat/Pickled16878061473807852 | Bin 0 -> 534 bytes .../sat/Pickled168780614739979 | Bin 0 -> 519 bytes .../sat/Pickled16878061474117799 | Bin 0 -> 516 bytes .../sat/Pickled16878061474297884 | Bin 0 -> 516 bytes .../sat/Pickled1687806147444866 | Bin 0 -> 490 bytes .../sat/Pickled1687806147458437 | Bin 0 -> 490 bytes .../sat/Pickled1687806147474808 | Bin 0 -> 490 bytes .../sat/Pickled16878061474927657 | Bin 0 -> 490 bytes .../sat/Pickled16878061475057878 | Bin 0 -> 490 bytes .../sat/Pickled1687806147525397 | Bin 0 -> 490 bytes .../sat/Pickled1687806147538394 | Bin 0 -> 531 bytes .../sat/Pickled16878061475536866 | Bin 0 -> 528 bytes .../sat/Pickled16878061475697043 | Bin 0 -> 528 bytes .../sat/Pickled1687806147583751 | Bin 0 -> 588 bytes .../sat/Pickled16878061476018496 | Bin 0 -> 582 bytes .../sat/Pickled16878061476167517 | Bin 0 -> 582 bytes .../sat/Pickled16878061476322677 | Bin 0 -> 562 bytes .../sat/Pickled16878061476482685 | Bin 0 -> 556 bytes .../sat/Pickled16878061476633408 | Bin 0 -> 556 bytes .../sat/Pickled16878061476793406 | Bin 0 -> 562 bytes .../sat/Pickled1687806147694341 | Bin 0 -> 556 bytes .../sat/Pickled16878061477108872 | Bin 0 -> 556 bytes .../sat/Pickled16878061477250092 | Bin 0 -> 597 bytes .../sat/Pickled16878061477434926 | Bin 0 -> 594 bytes .../sat/Pickled16878061477589877 | Bin 0 -> 594 bytes .../sat/Pickled16878061477749965 | Bin 0 -> 600 bytes .../sat/Pickled1687806147788991 | Bin 0 -> 597 bytes .../sat/Pickled16878061478069863 | Bin 0 -> 597 bytes .../sat/Pickled1687806147821041 | Bin 0 -> 574 bytes .../sat/Pickled16878061478385727 | Bin 0 -> 571 bytes .../sat/Pickled1687806147851973 | Bin 0 -> 571 bytes .../sat/Pickled16878061478699732 | Bin 0 -> 574 bytes .../sat/Pickled16878061478833258 | Bin 0 -> 571 bytes .../sat/Pickled16878061479003057 | Bin 0 -> 571 bytes .../sat/Pickled16878061479153063 | Bin 0 -> 612 bytes .../sat/Pickled16878061479313111 | Bin 0 -> 609 bytes .../sat/Pickled16878061479473214 | Bin 0 -> 609 bytes .../sat/Pickled16878061479643102 | Bin 0 -> 554 bytes .../sat/Pickled16878061479803107 | Bin 0 -> 551 bytes .../sat/Pickled1687806147996314 | Bin 0 -> 551 bytes .../sat/Pickled16878061480103486 | Bin 0 -> 531 bytes .../sat/Pickled1687806148032586 | Bin 0 -> 525 bytes .../sat/Pickled16878061480458143 | Bin 0 -> 525 bytes .../sat/Pickled16878061480608406 | Bin 0 -> 531 bytes .../sat/Pickled16878061480748122 | Bin 0 -> 525 bytes .../sat/Pickled16878061480947359 | Bin 0 -> 525 bytes .../sat/Pickled16878061481087298 | Bin 0 -> 569 bytes .../sat/Pickled16878061481208322 | Bin 0 -> 563 bytes .../sat/Pickled1687806148141733 | Bin 0 -> 563 bytes .../sat/Pickled16878061481728418 | Bin 0 -> 557 bytes .../sat/Pickled16878061481850135 | Bin 0 -> 554 bytes .../sat/Pickled16878061482035537 | Bin 0 -> 554 bytes .../sat/Pickled16878061482354596 | Bin 0 -> 531 bytes .../sat/Pickled16878061482654593 | Bin 0 -> 528 bytes .../sat/Pickled16878061482814736 | Bin 0 -> 528 bytes .../sat/Pickled16878061482974665 | Bin 0 -> 528 bytes .../sat/Pickled16878061483114498 | Bin 0 -> 528 bytes .../sat/Pickled16878061483224504 | Bin 0 -> 528 bytes .../sat/Pickled16878061483404543 | Bin 0 -> 566 bytes .../sat/Pickled16878061483554497 | Bin 0 -> 566 bytes .../sat/Pickled16878061483714511 | Bin 0 -> 566 bytes .../sat/Pickled16878061483877976 | Bin 0 -> 523 bytes .../sat/Pickled16878061484057965 | Bin 0 -> 523 bytes .../sat/Pickled16878061484188447 | Bin 0 -> 523 bytes .../sat/Pickled16878061484348445 | Bin 0 -> 497 bytes .../sat/Pickled16878061484518437 | Bin 0 -> 497 bytes .../sat/Pickled1687806148464982 | Bin 0 -> 497 bytes .../sat/Pickled16878061484811661 | Bin 0 -> 497 bytes .../sat/Pickled16878061484956787 | Bin 0 -> 497 bytes .../sat/Pickled16878061485117002 | Bin 0 -> 497 bytes .../sat/Pickled16878061485286825 | Bin 0 -> 535 bytes .../sat/Pickled16878061485436997 | Bin 0 -> 535 bytes .../sat/Pickled1687806148563772 | Bin 0 -> 535 bytes .../sat/Pickled16878061485776901 | Bin 0 -> 553 bytes .../sat/Pickled16878061485936801 | Bin 0 -> 553 bytes .../sat/Pickled1687806148611701 | Bin 0 -> 553 bytes .../sat/Pickled16878061486276836 | Bin 0 -> 527 bytes .../sat/Pickled16878061486420245 | Bin 0 -> 527 bytes .../sat/Pickled16878061486560225 | Bin 0 -> 527 bytes .../sat/Pickled16878061486730514 | Bin 0 -> 527 bytes .../sat/Pickled16878061486860223 | Bin 0 -> 527 bytes .../sat/Pickled16878061487030685 | Bin 0 -> 527 bytes .../sat/Pickled16878061487175708 | Bin 0 -> 565 bytes .../sat/Pickled16878061487345717 | Bin 0 -> 565 bytes .../sat/Pickled16878061487495544 | Bin 0 -> 565 bytes .../sat/Pickled16878061487725518 | Bin 0 -> 523 bytes .../sat/Pickled16878061487825518 | Bin 0 -> 523 bytes .../sat/Pickled1687806148800551 | Bin 0 -> 523 bytes .../sat/Pickled1687806148814662 | Bin 0 -> 497 bytes .../sat/Pickled16878061488326728 | Bin 0 -> 497 bytes .../sat/Pickled16878061488476543 | Bin 0 -> 497 bytes .../sat/Pickled1687806148864661 | Bin 0 -> 497 bytes .../sat/Pickled16878061488786526 | Bin 0 -> 497 bytes .../sat/Pickled1687806148896655 | Bin 0 -> 497 bytes .../sat/Pickled1687806148909658 | Bin 0 -> 535 bytes .../sat/Pickled16878061489250097 | Bin 0 -> 535 bytes .../sat/Pickled16878061489410102 | Bin 0 -> 535 bytes .../sat/Pickled16878061489610133 | Bin 0 -> 520 bytes .../sat/Pickled16878061489750116 | Bin 0 -> 517 bytes .../sat/Pickled16878061489921017 | Bin 0 -> 517 bytes .../sat/Pickled16878061490074615 | Bin 0 -> 494 bytes .../sat/Pickled1687806149023457 | Bin 0 -> 491 bytes .../sat/Pickled16878061490394592 | Bin 0 -> 491 bytes .../sat/Pickled1687806149053456 | Bin 0 -> 494 bytes .../sat/Pickled16878061490704553 | Bin 0 -> 491 bytes .../sat/Pickled16878061490844903 | Bin 0 -> 491 bytes .../sat/Pickled1687806149099456 | Bin 0 -> 532 bytes .../sat/Pickled16878061491164634 | Bin 0 -> 529 bytes .../sat/Pickled16878061491299772 | Bin 0 -> 529 bytes .../sat/Pickled16878061491466336 | Bin 0 -> 585 bytes .../sat/Pickled16878061491617765 | Bin 0 -> 582 bytes .../sat/Pickled16878061491819425 | Bin 0 -> 582 bytes .../sat/Pickled16878061491959572 | Bin 0 -> 565 bytes .../sat/Pickled16878061492109418 | Bin 0 -> 556 bytes .../sat/Pickled168780614923203 | Bin 0 -> 556 bytes .../sat/Pickled16878061492439408 | Bin 0 -> 565 bytes .../sat/Pickled16878061492589433 | Bin 0 -> 556 bytes .../sat/Pickled1687806149274943 | Bin 0 -> 556 bytes .../sat/Pickled16878061492919455 | Bin 0 -> 603 bytes .../sat/Pickled1687806149306113 | Bin 0 -> 594 bytes .../sat/Pickled1687806149321093 | Bin 0 -> 594 bytes .../sat/Pickled16878061493354251 | Bin 0 -> 606 bytes .../sat/Pickled1687806149351453 | Bin 0 -> 597 bytes .../sat/Pickled16878061493664622 | Bin 0 -> 597 bytes .../sat/Pickled16878061493874686 | Bin 0 -> 577 bytes .../sat/Pickled16878061494044685 | Bin 0 -> 571 bytes .../sat/Pickled16878061494174702 | Bin 0 -> 571 bytes .../sat/Pickled16878061494334662 | Bin 0 -> 577 bytes .../sat/Pickled16878061494484625 | Bin 0 -> 571 bytes .../sat/Pickled16878061494644628 | Bin 0 -> 571 bytes .../sat/Pickled16878061494776313 | Bin 0 -> 615 bytes .../sat/Pickled16878061494947636 | Bin 0 -> 609 bytes .../sat/Pickled16878061495100923 | Bin 0 -> 609 bytes .../sat/Pickled1687806149525323 | Bin 0 -> 554 bytes .../sat/Pickled1687806149540886 | Bin 0 -> 551 bytes .../sat/Pickled1687806149554777 | Bin 0 -> 551 bytes .../sat/Pickled1687806149571026 | Bin 0 -> 531 bytes .../sat/Pickled1687806149587935 | Bin 0 -> 525 bytes .../sat/Pickled16878061496039464 | Bin 0 -> 525 bytes .../sat/Pickled16878061496199327 | Bin 0 -> 531 bytes .../sat/Pickled16878061496359305 | Bin 0 -> 525 bytes .../sat/Pickled1687806149651023 | Bin 0 -> 525 bytes .../sat/Pickled16878061496669326 | Bin 0 -> 569 bytes .../sat/Pickled1687806149684937 | Bin 0 -> 563 bytes .../sat/Pickled16878061496970117 | Bin 0 -> 563 bytes .../sat/Pickled1687806149713652 | Bin 0 -> 557 bytes .../sat/Pickled16878061497279465 | Bin 0 -> 554 bytes .../sat/Pickled16878061497439518 | Bin 0 -> 554 bytes .../sat/Pickled1687806149759114 | Bin 0 -> 528 bytes .../sat/Pickled16878061497761087 | Bin 0 -> 528 bytes .../sat/Pickled1687806149791613 | Bin 0 -> 528 bytes .../sat/Pickled16878061498085299 | Bin 0 -> 528 bytes .../sat/Pickled1687806149825572 | Bin 0 -> 528 bytes .../sat/Pickled16878061498395345 | Bin 0 -> 528 bytes .../sat/Pickled16878061498565333 | Bin 0 -> 566 bytes .../sat/Pickled16878061498775342 | Bin 0 -> 566 bytes .../sat/Pickled168780614988655 | Bin 0 -> 566 bytes .../sat/Pickled16878061499035342 | Bin 0 -> 523 bytes .../sat/Pickled16878061499177363 | Bin 0 -> 523 bytes .../sat/Pickled16878061499339561 | Bin 0 -> 523 bytes .../sat/Pickled16878061499490323 | Bin 0 -> 497 bytes .../sat/Pickled168780614996432 | Bin 0 -> 497 bytes .../sat/Pickled1687806149980272 | Bin 0 -> 497 bytes .../sat/Pickled16878061499982743 | Bin 0 -> 497 bytes .../sat/Pickled16878061500123165 | Bin 0 -> 497 bytes .../sat/Pickled16878061500282319 | Bin 0 -> 497 bytes .../sat/Pickled16878061500483167 | Bin 0 -> 535 bytes .../sat/Pickled16878061500612326 | Bin 0 -> 535 bytes .../sat/Pickled16878061500763168 | Bin 0 -> 535 bytes .../sat/Pickled16878061500933182 | Bin 0 -> 553 bytes .../sat/Pickled16878061501082346 | Bin 0 -> 553 bytes .../sat/Pickled16878061501216724 | Bin 0 -> 553 bytes .../sat/Pickled16878061501378975 | Bin 0 -> 527 bytes .../sat/Pickled1687806150152822 | Bin 0 -> 527 bytes .../sat/Pickled1687806150168294 | Bin 0 -> 527 bytes .../sat/Pickled16878061501844003 | Bin 0 -> 527 bytes .../sat/Pickled1687806150204757 | Bin 0 -> 527 bytes .../sat/Pickled1687806150216752 | Bin 0 -> 527 bytes .../sat/Pickled1687806150233757 | Bin 0 -> 565 bytes .../sat/Pickled1687806150247837 | Bin 0 -> 565 bytes .../sat/Pickled16878061502637503 | Bin 0 -> 565 bytes .../sat/Pickled16878061502837517 | Bin 0 -> 523 bytes .../sat/Pickled1687806150296752 | Bin 0 -> 523 bytes .../sat/Pickled16878061503109932 | Bin 0 -> 523 bytes .../sat/Pickled16878061503263066 | Bin 0 -> 497 bytes .../sat/Pickled16878061503404567 | Bin 0 -> 497 bytes .../sat/Pickled16878061503574736 | Bin 0 -> 497 bytes .../sat/Pickled16878061503715887 | Bin 0 -> 497 bytes .../sat/Pickled1687806150387565 | Bin 0 -> 497 bytes .../sat/Pickled1687806150404594 | Bin 0 -> 497 bytes .../sat/Pickled16878061504225998 | Bin 0 -> 535 bytes .../sat/Pickled16878061504385118 | Bin 0 -> 535 bytes .../sat/Pickled168780615045451 | Bin 0 -> 535 bytes .../sat/Pickled1687806150473514 | Bin 0 -> 520 bytes .../sat/Pickled1687806150484618 | Bin 0 -> 517 bytes .../sat/Pickled16878061505016928 | Bin 0 -> 517 bytes .../sat/Pickled16878061505152876 | Bin 0 -> 491 bytes .../sat/Pickled16878061505327923 | Bin 0 -> 491 bytes .../sat/Pickled16878061505470374 | Bin 0 -> 491 bytes .../sat/Pickled16878061505630314 | Bin 0 -> 491 bytes .../sat/Pickled16878061505777574 | Bin 0 -> 491 bytes .../sat/Pickled16878061505928533 | Bin 0 -> 491 bytes .../sat/Pickled16878061506128502 | Bin 0 -> 529 bytes .../sat/Pickled16878061506258502 | Bin 0 -> 529 bytes .../sat/Pickled1687806150641854 | Bin 0 -> 529 bytes .../sat/Pickled16878061506589491 | Bin 0 -> 585 bytes .../sat/Pickled16878061506738503 | Bin 0 -> 582 bytes .../sat/Pickled16878061506899345 | Bin 0 -> 579 bytes .../sat/Pickled1687806150706851 | Bin 0 -> 562 bytes .../sat/Pickled16878061507199447 | Bin 0 -> 556 bytes .../sat/Pickled16878061507359502 | Bin 0 -> 553 bytes .../sat/Pickled16878061507521 | Bin 0 -> 565 bytes .../sat/Pickled16878061507672787 | Bin 0 -> 556 bytes .../sat/Pickled16878061507829032 | Bin 0 -> 553 bytes .../sat/Pickled16878061507994971 | Bin 0 -> 603 bytes .../sat/Pickled16878061508155005 | Bin 0 -> 594 bytes .../sat/Pickled16878061508324978 | Bin 0 -> 591 bytes .../sat/Pickled1687806150845412 | Bin 0 -> 606 bytes .../sat/Pickled16878061508631334 | Bin 0 -> 597 bytes .../sat/Pickled16878061508782084 | Bin 0 -> 594 bytes .../sat/Pickled16878061508941195 | Bin 0 -> 574 bytes .../sat/Pickled1687806150908115 | Bin 0 -> 571 bytes .../sat/Pickled16878061509251184 | Bin 0 -> 568 bytes .../sat/Pickled16878061509411154 | Bin 0 -> 577 bytes .../sat/Pickled16878061509613574 | Bin 0 -> 571 bytes .../sat/Pickled16878061509942775 | Bin 0 -> 568 bytes .../sat/Pickled16878061510314245 | Bin 0 -> 615 bytes .../sat/Pickled1687806151054674 | Bin 0 -> 609 bytes .../sat/Pickled16878061510828946 | Bin 0 -> 606 bytes .../sat/Pickled16878061510998988 | Bin 0 -> 554 bytes .../sat/Pickled1687806151119989 | Bin 0 -> 551 bytes .../sat/Pickled16878061511298966 | Bin 0 -> 548 bytes .../sat/Pickled16878061511458938 | Bin 0 -> 531 bytes .../sat/Pickled16878061511638932 | Bin 0 -> 525 bytes .../sat/Pickled16878061511778967 | Bin 0 -> 522 bytes .../sat/Pickled16878061511949012 | Bin 0 -> 531 bytes .../sat/Pickled1687806151212914 | Bin 0 -> 525 bytes .../sat/Pickled16878061512248938 | Bin 0 -> 522 bytes .../sat/Pickled1687806151245897 | Bin 0 -> 569 bytes .../sat/Pickled16878061512752993 | Bin 0 -> 563 bytes .../sat/Pickled16878061512993183 | Bin 0 -> 560 bytes .../sat/Pickled16878061513202908 | Bin 0 -> 557 bytes .../sat/Pickled16878061513402908 | Bin 0 -> 554 bytes .../sat/Pickled16878061513622923 | Bin 0 -> 551 bytes .../sat/Pickled16878061514283924 | Bin 0 -> 528 bytes .../sat/Pickled16878061514548318 | Bin 0 -> 528 bytes .../sat/Pickled16878061514931965 | Bin 0 -> 525 bytes .../sat/Pickled16878061515104146 | Bin 0 -> 528 bytes .../sat/Pickled16878061515262883 | Bin 0 -> 528 bytes .../sat/Pickled16878061515405633 | Bin 0 -> 525 bytes .../sat/Pickled1687806151554471 | Bin 0 -> 566 bytes .../sat/Pickled1687806151570476 | Bin 0 -> 566 bytes .../sat/Pickled168780615158547 | Bin 0 -> 563 bytes .../sat/Pickled168780615160247 | Bin 0 -> 523 bytes .../sat/Pickled16878061516184719 | Bin 0 -> 523 bytes .../sat/Pickled16878061516346803 | Bin 0 -> 520 bytes .../sat/Pickled16878061516496794 | Bin 0 -> 497 bytes .../sat/Pickled16878061516666863 | Bin 0 -> 497 bytes .../sat/Pickled16878061516826873 | Bin 0 -> 494 bytes .../sat/Pickled16878061516966789 | Bin 0 -> 497 bytes .../sat/Pickled16878061517136817 | Bin 0 -> 497 bytes .../sat/Pickled1687806151730759 | Bin 0 -> 494 bytes .../sat/Pickled16878061517456894 | Bin 0 -> 535 bytes .../sat/Pickled1687806151762711 | Bin 0 -> 535 bytes .../sat/Pickled1687806151776153 | Bin 0 -> 532 bytes .../sat/Pickled16878061517930017 | Bin 0 -> 553 bytes .../sat/Pickled16878061518093202 | Bin 0 -> 553 bytes .../sat/Pickled16878061518225665 | Bin 0 -> 550 bytes .../sat/Pickled1687806151839478 | Bin 0 -> 527 bytes .../sat/Pickled16878061518554788 | Bin 0 -> 527 bytes .../sat/Pickled16878061518725815 | Bin 0 -> 524 bytes .../sat/Pickled1687806151887566 | Bin 0 -> 527 bytes .../sat/Pickled16878061519045627 | Bin 0 -> 527 bytes .../sat/Pickled1687806151918902 | Bin 0 -> 524 bytes .../sat/Pickled16878061519348824 | Bin 0 -> 565 bytes .../sat/Pickled1687806151949903 | Bin 0 -> 565 bytes .../sat/Pickled16878061519657738 | Bin 0 -> 562 bytes .../sat/Pickled16878061519816701 | Bin 0 -> 523 bytes .../sat/Pickled16878061519986722 | Bin 0 -> 523 bytes .../sat/Pickled16878061520134468 | Bin 0 -> 520 bytes .../sat/Pickled1687806152028565 | Bin 0 -> 497 bytes .../sat/Pickled1687806152044927 | Bin 0 -> 497 bytes .../sat/Pickled16878061520594392 | Bin 0 -> 494 bytes .../sat/Pickled16878061520763276 | Bin 0 -> 497 bytes .../sat/Pickled16878061520917552 | Bin 0 -> 497 bytes .../sat/Pickled16878061521070683 | Bin 0 -> 494 bytes .../sat/Pickled16878061521224515 | Bin 0 -> 535 bytes .../sat/Pickled16878061521375864 | Bin 0 -> 535 bytes .../sat/Pickled1687806152153006 | Bin 0 -> 532 bytes .../sat/Pickled1687806152169727 | Bin 0 -> 520 bytes .../sat/Pickled16878061521842287 | Bin 0 -> 517 bytes .../sat/Pickled1687806152201022 | Bin 0 -> 514 bytes .../sat/Pickled16878061522162962 | Bin 0 -> 494 bytes .../sat/Pickled1687806152231457 | Bin 0 -> 491 bytes .../sat/Pickled16878061522462726 | Bin 0 -> 488 bytes .../sat/Pickled16878061522613134 | Bin 0 -> 491 bytes .../sat/Pickled1687806152277909 | Bin 0 -> 491 bytes .../sat/Pickled16878061522931879 | Bin 0 -> 488 bytes .../sat/Pickled16878061523088102 | Bin 0 -> 532 bytes .../sat/Pickled1687806152323235 | Bin 0 -> 529 bytes .../sat/Pickled16878061523403063 | Bin 0 -> 526 bytes .../sat/Pickled16878061523556561 | Bin 0 -> 588 bytes .../sat/Pickled16878061523716357 | Bin 0 -> 582 bytes .../sat/Pickled16878061523868227 | Bin 0 -> 582 bytes .../sat/Pickled16878061524020462 | Bin 0 -> 562 bytes .../sat/Pickled16878061524184582 | Bin 0 -> 556 bytes .../sat/Pickled16878061524338517 | Bin 0 -> 556 bytes .../sat/Pickled16878061524497828 | Bin 0 -> 562 bytes .../sat/Pickled16878061524651928 | Bin 0 -> 556 bytes .../sat/Pickled16878061524795487 | Bin 0 -> 556 bytes .../sat/Pickled16878061524972305 | Bin 0 -> 600 bytes .../sat/Pickled16878061525105448 | Bin 0 -> 594 bytes .../sat/Pickled16878061525270255 | Bin 0 -> 594 bytes .../sat/Pickled168780615254145 | Bin 0 -> 603 bytes .../sat/Pickled16878061525577152 | Bin 0 -> 597 bytes .../sat/Pickled16878061525738604 | Bin 0 -> 597 bytes .../sat/Pickled16878061525891907 | Bin 0 -> 574 bytes .../sat/Pickled1687806152604944 | Bin 0 -> 571 bytes .../sat/Pickled16878061526194093 | Bin 0 -> 571 bytes .../sat/Pickled1687806152636142 | Bin 0 -> 574 bytes .../sat/Pickled16878061526513567 | Bin 0 -> 571 bytes .../sat/Pickled16878061526656106 | Bin 0 -> 571 bytes .../sat/Pickled1687806152682298 | Bin 0 -> 612 bytes .../sat/Pickled16878061526969569 | Bin 0 -> 609 bytes .../sat/Pickled1687806152713966 | Bin 0 -> 609 bytes .../sat/Pickled16878061527287548 | Bin 0 -> 554 bytes .../sat/Pickled16878061527439725 | Bin 0 -> 551 bytes .../sat/Pickled1687806152760323 | Bin 0 -> 551 bytes .../sat/Pickled16878061527755497 | Bin 0 -> 531 bytes .../sat/Pickled16878061527902935 | Bin 0 -> 525 bytes .../sat/Pickled1687806152807362 | Bin 0 -> 525 bytes .../sat/Pickled16878061528224533 | Bin 0 -> 531 bytes .../sat/Pickled1687806152838875 | Bin 0 -> 525 bytes .../sat/Pickled16878061528533263 | Bin 0 -> 525 bytes .../sat/Pickled16878061528694627 | Bin 0 -> 569 bytes .../sat/Pickled16878061528839483 | Bin 0 -> 563 bytes .../sat/Pickled16878061528999658 | Bin 0 -> 563 bytes .../sat/Pickled16878061529169111 | Bin 0 -> 557 bytes .../sat/Pickled16878061529311414 | Bin 0 -> 554 bytes .../sat/Pickled16878061529471698 | Bin 0 -> 554 bytes .../sat/Pickled16878061529623806 | Bin 0 -> 528 bytes .../sat/Pickled1687806152978526 | Bin 0 -> 528 bytes .../sat/Pickled16878061529928756 | Bin 0 -> 528 bytes .../sat/Pickled1687806153008985 | Bin 0 -> 528 bytes .../sat/Pickled16878061530232651 | Bin 0 -> 528 bytes .../sat/Pickled16878061530401566 | Bin 0 -> 528 bytes .../sat/Pickled16878061530542326 | Bin 0 -> 566 bytes .../sat/Pickled16878061530704997 | Bin 0 -> 566 bytes .../sat/Pickled1687806153085815 | Bin 0 -> 566 bytes .../sat/Pickled16878061531028056 | Bin 0 -> 523 bytes .../sat/Pickled1687806153117194 | Bin 0 -> 523 bytes .../sat/Pickled16878061531328814 | Bin 0 -> 523 bytes .../sat/Pickled16878061531489847 | Bin 0 -> 497 bytes .../sat/Pickled16878061531645362 | Bin 0 -> 497 bytes .../sat/Pickled16878061531806908 | Bin 0 -> 497 bytes .../sat/Pickled16878061531950257 | Bin 0 -> 497 bytes .../sat/Pickled16878061532111187 | Bin 0 -> 497 bytes .../sat/Pickled168780615322756 | Bin 0 -> 497 bytes .../sat/Pickled16878061532431598 | Bin 0 -> 535 bytes .../sat/Pickled16878061532586327 | Bin 0 -> 535 bytes .../sat/Pickled1687806153273818 | Bin 0 -> 535 bytes .../sat/Pickled16878061532889285 | Bin 0 -> 553 bytes .../sat/Pickled16878061533052406 | Bin 0 -> 553 bytes .../sat/Pickled16878061533198888 | Bin 0 -> 553 bytes .../sat/Pickled16878061533362129 | Bin 0 -> 527 bytes .../sat/Pickled1687806153351015 | Bin 0 -> 527 bytes .../sat/Pickled16878061533672495 | Bin 0 -> 527 bytes .../sat/Pickled16878061533832371 | Bin 0 -> 527 bytes .../sat/Pickled1687806153398201 | Bin 0 -> 527 bytes .../sat/Pickled16878061534154637 | Bin 0 -> 527 bytes .../sat/Pickled16878061534289954 | Bin 0 -> 565 bytes .../sat/Pickled16878061534461527 | Bin 0 -> 565 bytes .../sat/Pickled16878061534610534 | Bin 0 -> 565 bytes .../sat/Pickled1687806153478196 | Bin 0 -> 523 bytes .../sat/Pickled1687806153493275 | Bin 0 -> 523 bytes .../sat/Pickled16878061535103302 | Bin 0 -> 523 bytes .../sat/Pickled16878061535263264 | Bin 0 -> 497 bytes .../sat/Pickled1687806153541333 | Bin 0 -> 497 bytes .../sat/Pickled16878061535563252 | Bin 0 -> 497 bytes .../sat/Pickled1687806153573333 | Bin 0 -> 497 bytes .../sat/Pickled1687806153590366 | Bin 0 -> 497 bytes .../sat/Pickled168780615360533 | Bin 0 -> 497 bytes .../sat/Pickled1687806153622418 | Bin 0 -> 535 bytes .../sat/Pickled16878061536373286 | Bin 0 -> 535 bytes .../sat/Pickled16878061536518369 | Bin 0 -> 535 bytes .../sat/Pickled16878061536688182 | Bin 0 -> 520 bytes .../sat/Pickled1687806153684966 | Bin 0 -> 517 bytes .../sat/Pickled16878061537001119 | Bin 0 -> 517 bytes .../sat/Pickled16878061537141843 | Bin 0 -> 491 bytes .../sat/Pickled16878061537302992 | Bin 0 -> 491 bytes .../sat/Pickled16878061537463953 | Bin 0 -> 491 bytes .../sat/Pickled16878061537634397 | Bin 0 -> 491 bytes .../sat/Pickled16878061537768424 | Bin 0 -> 491 bytes .../sat/Pickled1687806153793355 | Bin 0 -> 491 bytes .../sat/Pickled16878061538093138 | Bin 0 -> 532 bytes .../sat/Pickled1687806153823727 | Bin 0 -> 529 bytes .../sat/Pickled1687806153840202 | Bin 0 -> 529 bytes .../sat/Pickled16878061538548906 | Bin 0 -> 584 bytes .../sat/Pickled16878061538711972 | Bin 0 -> 581 bytes .../sat/Pickled16878061538855932 | Bin 0 -> 581 bytes .../sat/Pickled1687806153902576 | Bin 0 -> 561 bytes .../sat/Pickled16878061539169738 | Bin 0 -> 555 bytes .../sat/Pickled168780615393489 | Bin 0 -> 555 bytes .../sat/Pickled1687806153948897 | Bin 0 -> 561 bytes .../sat/Pickled16878061539642317 | Bin 0 -> 555 bytes .../sat/Pickled1687806153981334 | Bin 0 -> 555 bytes .../sat/Pickled1687806153996291 | Bin 0 -> 599 bytes .../sat/Pickled16878061540125668 | Bin 0 -> 593 bytes .../sat/Pickled168780615402672 | Bin 0 -> 593 bytes .../sat/Pickled16878061540436645 | Bin 0 -> 602 bytes .../sat/Pickled16878061540593126 | Bin 0 -> 596 bytes .../sat/Pickled16878061540744743 | Bin 0 -> 596 bytes .../sat/Pickled16878061540897925 | Bin 0 -> 573 bytes .../sat/Pickled1687806154104112 | Bin 0 -> 570 bytes .../sat/Pickled16878061541195054 | Bin 0 -> 570 bytes .../sat/Pickled1687806154136239 | Bin 0 -> 573 bytes .../sat/Pickled1687806154150587 | Bin 0 -> 570 bytes .../sat/Pickled1687806154165665 | Bin 0 -> 570 bytes .../sat/Pickled16878061541820538 | Bin 0 -> 611 bytes .../sat/Pickled16878061541987286 | Bin 0 -> 608 bytes .../sat/Pickled16878061542140188 | Bin 0 -> 608 bytes .../sat/Pickled1687806154229208 | Bin 0 -> 553 bytes .../sat/Pickled16878061542445097 | Bin 0 -> 550 bytes .../sat/Pickled16878061542598348 | Bin 0 -> 550 bytes .../sat/Pickled16878061542742167 | Bin 0 -> 530 bytes .../sat/Pickled16878061542903562 | Bin 0 -> 524 bytes .../sat/Pickled16878061543057718 | Bin 0 -> 524 bytes .../sat/Pickled16878061543212647 | Bin 0 -> 530 bytes .../sat/Pickled16878061543361967 | Bin 0 -> 524 bytes .../sat/Pickled1687806154351749 | Bin 0 -> 524 bytes .../sat/Pickled16878061543669283 | Bin 0 -> 568 bytes .../sat/Pickled16878061543824549 | Bin 0 -> 562 bytes .../sat/Pickled1687806154396701 | Bin 0 -> 562 bytes .../sat/Pickled16878061544136443 | Bin 0 -> 556 bytes .../sat/Pickled16878061544291894 | Bin 0 -> 553 bytes .../sat/Pickled16878061544433208 | Bin 0 -> 553 bytes .../sat/Pickled1687806154459883 | Bin 0 -> 527 bytes .../sat/Pickled16878061544742773 | Bin 0 -> 527 bytes .../sat/Pickled1687806154491258 | Bin 0 -> 527 bytes .../sat/Pickled16878061545057628 | Bin 0 -> 527 bytes .../sat/Pickled16878061545222104 | Bin 0 -> 527 bytes .../sat/Pickled16878061545372546 | Bin 0 -> 527 bytes .../sat/Pickled16878061545515828 | Bin 0 -> 565 bytes .../sat/Pickled16878061545661888 | Bin 0 -> 565 bytes .../sat/Pickled16878061545821116 | Bin 0 -> 565 bytes .../sat/Pickled16878061545985348 | Bin 0 -> 522 bytes .../sat/Pickled16878061546135364 | Bin 0 -> 522 bytes .../sat/Pickled16878061546298149 | Bin 0 -> 522 bytes .../sat/Pickled16878061546453915 | Bin 0 -> 496 bytes .../sat/Pickled16878061546596084 | Bin 0 -> 496 bytes .../sat/Pickled1687806154675516 | Bin 0 -> 496 bytes .../sat/Pickled16878061546915295 | Bin 0 -> 496 bytes .../sat/Pickled1687806154706829 | Bin 0 -> 496 bytes .../sat/Pickled16878061547217333 | Bin 0 -> 496 bytes .../sat/Pickled16878061547375987 | Bin 0 -> 534 bytes .../sat/Pickled16878061547527041 | Bin 0 -> 534 bytes .../sat/Pickled1687806154768685 | Bin 0 -> 534 bytes .../sat/Pickled1687806154784026 | Bin 0 -> 552 bytes .../sat/Pickled16878061548001013 | Bin 0 -> 552 bytes .../sat/Pickled16878061548155525 | Bin 0 -> 552 bytes .../sat/Pickled1687806154829766 | Bin 0 -> 526 bytes .../sat/Pickled16878061548467402 | Bin 0 -> 526 bytes .../sat/Pickled1687806154861274 | Bin 0 -> 526 bytes .../sat/Pickled16878061548772984 | Bin 0 -> 526 bytes .../sat/Pickled16878061548923428 | Bin 0 -> 526 bytes .../sat/Pickled1687806154908548 | Bin 0 -> 526 bytes .../sat/Pickled1687806154923857 | Bin 0 -> 564 bytes .../sat/Pickled16878061549398537 | Bin 0 -> 564 bytes .../sat/Pickled1687806154955582 | Bin 0 -> 564 bytes .../sat/Pickled1687806154971804 | Bin 0 -> 522 bytes .../sat/Pickled16878061549872708 | Bin 0 -> 522 bytes .../sat/Pickled16878061550028183 | Bin 0 -> 522 bytes .../sat/Pickled16878061550179803 | Bin 0 -> 496 bytes .../sat/Pickled16878061550329723 | Bin 0 -> 496 bytes .../sat/Pickled16878061550489616 | Bin 0 -> 496 bytes .../sat/Pickled16878061550642023 | Bin 0 -> 496 bytes .../sat/Pickled16878061550789638 | Bin 0 -> 496 bytes .../sat/Pickled16878061550959578 | Bin 0 -> 496 bytes .../sat/Pickled16878061551103258 | Bin 0 -> 534 bytes .../sat/Pickled16878061551274726 | Bin 0 -> 534 bytes .../sat/Pickled16878061551422262 | Bin 0 -> 534 bytes .../sat/Pickled1687806155158754 | Bin 0 -> 519 bytes .../sat/Pickled16878061551728334 | Bin 0 -> 516 bytes .../sat/Pickled16878061551890702 | Bin 0 -> 516 bytes .../sat/Pickled1687806155205596 | Bin 0 -> 493 bytes .../sat/Pickled1687806155220624 | Bin 0 -> 490 bytes .../sat/Pickled16878061552367551 | Bin 0 -> 490 bytes .../sat/Pickled16878061552519827 | Bin 0 -> 490 bytes .../sat/Pickled16878061552691333 | Bin 0 -> 490 bytes .../sat/Pickled16878061553003764 | Bin 0 -> 490 bytes .../sat/Pickled16878061553133774 | Bin 0 -> 531 bytes .../sat/Pickled16878061553297822 | Bin 0 -> 528 bytes .../sat/Pickled1687806155345381 | Bin 0 -> 528 bytes .../sat/Pickled16878061553613677 | Bin 0 -> 630 bytes .../sat/Pickled168780615537731 | Bin 0 -> 636 bytes .../sat/Pickled16878061553929162 | Bin 0 -> 623 bytes .../sat/Pickled16878061554100065 | Bin 0 -> 610 bytes .../sat/Pickled16878061554239197 | Bin 0 -> 610 bytes .../sat/Pickled16878061554419177 | Bin 0 -> 597 bytes .../sat/Pickled16878061554569178 | Bin 0 -> 610 bytes .../sat/Pickled16878061554739182 | Bin 0 -> 610 bytes .../sat/Pickled16878061554875598 | Bin 0 -> 597 bytes .../sat/Pickled1687806155503654 | Bin 0 -> 648 bytes .../sat/Pickled1687806155519835 | Bin 0 -> 648 bytes .../sat/Pickled16878061555349696 | Bin 0 -> 635 bytes .../sat/Pickled16878061555509691 | Bin 0 -> 636 bytes .../sat/Pickled16878061555659654 | Bin 0 -> 636 bytes .../sat/Pickled16878061555821 | Bin 0 -> 623 bytes .../sat/Pickled1687806155597856 | Bin 0 -> 610 bytes .../sat/Pickled1687806155614009 | Bin 0 -> 610 bytes .../sat/Pickled16878061556302009 | Bin 0 -> 597 bytes .../sat/Pickled16878061556462214 | Bin 0 -> 610 bytes .../sat/Pickled1687806155661505 | Bin 0 -> 610 bytes .../sat/Pickled1687806155676732 | Bin 0 -> 597 bytes .../sat/Pickled16878061556908572 | Bin 0 -> 648 bytes .../sat/Pickled16878061557077274 | Bin 0 -> 648 bytes .../sat/Pickled16878061557226553 | Bin 0 -> 635 bytes .../sat/Pickled16878061557391632 | Bin 0 -> 781 bytes .../sat/Pickled16878061557548282 | Bin 0 -> 772 bytes .../sat/Pickled16878061557708974 | Bin 0 -> 759 bytes .../sat/Pickled1687806155786312 | Bin 0 -> 772 bytes .../sat/Pickled16878061558023076 | Bin 0 -> 772 bytes .../sat/Pickled16878061558174472 | Bin 0 -> 759 bytes .../sat/Pickled16878061558325357 | Bin 0 -> 772 bytes .../sat/Pickled16878061558480654 | Bin 0 -> 772 bytes .../sat/Pickled16878061558640726 | Bin 0 -> 759 bytes .../sat/Pickled16878061558809812 | Bin 0 -> 810 bytes .../sat/Pickled16878061558959882 | Bin 0 -> 810 bytes .../sat/Pickled16878061559094114 | Bin 0 -> 797 bytes .../sat/Pickled16878061559256244 | Bin 0 -> 628 bytes .../sat/Pickled168780615594071 | Bin 0 -> 637 bytes .../sat/Pickled16878061559569347 | Bin 0 -> 624 bytes .../sat/Pickled16878061559731495 | Bin 0 -> 602 bytes .../sat/Pickled16878061559883513 | Bin 0 -> 611 bytes .../sat/Pickled1687806156003462 | Bin 0 -> 598 bytes .../sat/Pickled16878061560190392 | Bin 0 -> 611 bytes .../sat/Pickled1687806156034337 | Bin 0 -> 611 bytes .../sat/Pickled16878061560506165 | Bin 0 -> 598 bytes .../sat/Pickled1687806156066132 | Bin 0 -> 649 bytes .../sat/Pickled16878061560807016 | Bin 0 -> 649 bytes .../sat/Pickled16878061560973673 | Bin 0 -> 636 bytes .../sat/Pickled16878061561126847 | Bin 0 -> 637 bytes .../sat/Pickled16878061561277483 | Bin 0 -> 637 bytes .../sat/Pickled16878061561421046 | Bin 0 -> 624 bytes .../sat/Pickled1687806156159141 | Bin 0 -> 608 bytes .../sat/Pickled16878061561732378 | Bin 0 -> 611 bytes .../sat/Pickled16878061561904898 | Bin 0 -> 598 bytes .../sat/Pickled16878061562064857 | Bin 0 -> 611 bytes .../sat/Pickled16878061562203918 | Bin 0 -> 611 bytes .../sat/Pickled16878061562364118 | Bin 0 -> 598 bytes .../sat/Pickled16878061562517128 | Bin 0 -> 649 bytes .../sat/Pickled16878061562671335 | Bin 0 -> 649 bytes .../sat/Pickled16878061562833486 | Bin 0 -> 636 bytes .../sat/Pickled16878061562986827 | Bin 0 -> 782 bytes .../sat/Pickled16878061563137834 | Bin 0 -> 773 bytes .../sat/Pickled16878061563302858 | Bin 0 -> 760 bytes .../sat/Pickled16878061563446772 | Bin 0 -> 773 bytes .../sat/Pickled1687806156360103 | Bin 0 -> 773 bytes .../sat/Pickled16878061563772895 | Bin 0 -> 760 bytes .../sat/Pickled16878061563926265 | Bin 0 -> 773 bytes .../sat/Pickled16878061564078405 | Bin 0 -> 773 bytes .../sat/Pickled16878061564242454 | Bin 0 -> 760 bytes .../sat/Pickled1687806156440293 | Bin 0 -> 811 bytes .../sat/Pickled1687806156455004 | Bin 0 -> 811 bytes .../sat/Pickled16878061564710054 | Bin 0 -> 798 bytes .../sat/Pickled16878061564875185 | Bin 0 -> 628 bytes .../sat/Pickled16878061565017602 | Bin 0 -> 637 bytes .../sat/Pickled16878061565181403 | Bin 0 -> 624 bytes .../sat/Pickled16878061565332518 | Bin 0 -> 611 bytes .../sat/Pickled16878061565495622 | Bin 0 -> 611 bytes .../sat/Pickled16878061565655324 | Bin 0 -> 598 bytes .../sat/Pickled1687806156580848 | Bin 0 -> 611 bytes .../sat/Pickled16878061565988495 | Bin 0 -> 611 bytes .../sat/Pickled16878061566133502 | Bin 0 -> 598 bytes .../sat/Pickled1687806156627853 | Bin 0 -> 649 bytes .../sat/Pickled16878061566487753 | Bin 0 -> 649 bytes .../sat/Pickled16878061566593418 | Bin 0 -> 636 bytes .../sat/Pickled16878061566764154 | Bin 0 -> 637 bytes .../sat/Pickled168780615669062 | Bin 0 -> 637 bytes .../sat/Pickled16878061567046907 | Bin 0 -> 624 bytes .../sat/Pickled16878061567215307 | Bin 0 -> 611 bytes .../sat/Pickled1687806156737479 | Bin 0 -> 611 bytes .../sat/Pickled16878061567518744 | Bin 0 -> 598 bytes .../sat/Pickled16878061567688432 | Bin 0 -> 611 bytes .../sat/Pickled16878061567848885 | Bin 0 -> 611 bytes .../sat/Pickled16878061568006442 | Bin 0 -> 598 bytes .../sat/Pickled16878061568151598 | Bin 0 -> 649 bytes .../sat/Pickled16878061568320768 | Bin 0 -> 649 bytes .../sat/Pickled16878061568473475 | Bin 0 -> 636 bytes .../sat/Pickled16878061568616278 | Bin 0 -> 782 bytes .../sat/Pickled16878061568784854 | Bin 0 -> 782 bytes .../sat/Pickled1687806156892223 | Bin 0 -> 769 bytes .../sat/Pickled1687806156909653 | Bin 0 -> 782 bytes .../sat/Pickled1687806156923784 | Bin 0 -> 782 bytes .../sat/Pickled16878061569396272 | Bin 0 -> 769 bytes .../sat/Pickled16878061569557755 | Bin 0 -> 782 bytes .../sat/Pickled16878061569710267 | Bin 0 -> 773 bytes .../sat/Pickled16878061569861603 | Bin 0 -> 760 bytes .../sat/Pickled16878061570018518 | Bin 0 -> 811 bytes .../sat/Pickled1687806157018858 | Bin 0 -> 811 bytes .../sat/Pickled16878061570328803 | Bin 0 -> 798 bytes .../sat/Pickled1687806157047621 | Bin 0 -> 628 bytes .../sat/Pickled16878061570628412 | Bin 0 -> 637 bytes .../sat/Pickled16878061570783753 | Bin 0 -> 621 bytes .../sat/Pickled16878061570946796 | Bin 0 -> 611 bytes .../sat/Pickled16878061571089344 | Bin 0 -> 611 bytes .../sat/Pickled1687806157125222 | Bin 0 -> 595 bytes .../sat/Pickled1687806157141267 | Bin 0 -> 611 bytes .../sat/Pickled16878061571563675 | Bin 0 -> 611 bytes .../sat/Pickled16878061571717474 | Bin 0 -> 595 bytes .../sat/Pickled16878061571869984 | Bin 0 -> 649 bytes .../sat/Pickled16878061572035282 | Bin 0 -> 649 bytes .../sat/Pickled16878061572186332 | Bin 0 -> 633 bytes .../sat/Pickled16878061572340548 | Bin 0 -> 637 bytes .../sat/Pickled16878061572490513 | Bin 0 -> 637 bytes .../sat/Pickled16878061572660728 | Bin 0 -> 621 bytes .../sat/Pickled16878061572830665 | Bin 0 -> 611 bytes .../sat/Pickled16878061572969654 | Bin 0 -> 611 bytes .../sat/Pickled16878061573129625 | Bin 0 -> 595 bytes .../sat/Pickled1687806157329963 | Bin 0 -> 611 bytes .../sat/Pickled16878061573450644 | Bin 0 -> 611 bytes .../sat/Pickled16878061573593743 | Bin 0 -> 595 bytes .../sat/Pickled16878061573772874 | Bin 0 -> 649 bytes .../sat/Pickled16878061573923476 | Bin 0 -> 649 bytes .../sat/Pickled16878061574093835 | Bin 0 -> 633 bytes .../sat/Pickled1687806157423548 | Bin 0 -> 782 bytes .../sat/Pickled16878061574394872 | Bin 0 -> 773 bytes .../sat/Pickled16878061574555535 | Bin 0 -> 757 bytes .../sat/Pickled16878061574715688 | Bin 0 -> 773 bytes .../sat/Pickled16878061574885256 | Bin 0 -> 773 bytes .../sat/Pickled1687806157501777 | Bin 0 -> 757 bytes .../sat/Pickled16878061575188572 | Bin 0 -> 773 bytes .../sat/Pickled16878061575338626 | Bin 0 -> 773 bytes .../sat/Pickled1687806157551879 | Bin 0 -> 757 bytes .../sat/Pickled16878061575667727 | Bin 0 -> 811 bytes .../sat/Pickled1687806157581781 | Bin 0 -> 811 bytes .../sat/Pickled16878061575987842 | Bin 0 -> 795 bytes .../sat/Pickled16878061576148632 | Bin 0 -> 628 bytes .../sat/Pickled16878061576303651 | Bin 0 -> 637 bytes .../sat/Pickled16878061576473906 | Bin 0 -> 624 bytes .../sat/Pickled16878061576623282 | Bin 0 -> 602 bytes .../sat/Pickled16878061576783578 | Bin 0 -> 611 bytes .../sat/Pickled16878061576933565 | Bin 0 -> 598 bytes .../sat/Pickled168780615771045 | Bin 0 -> 611 bytes .../sat/Pickled16878061577259834 | Bin 0 -> 611 bytes .../sat/Pickled1687806157740811 | Bin 0 -> 598 bytes .../sat/Pickled16878061577557342 | Bin 0 -> 649 bytes .../sat/Pickled16878061577703307 | Bin 0 -> 649 bytes .../sat/Pickled16878061577857985 | Bin 0 -> 636 bytes .../sat/Pickled1687806157801659 | Bin 0 -> 637 bytes .../sat/Pickled16878061578173077 | Bin 0 -> 637 bytes .../sat/Pickled16878061578334057 | Bin 0 -> 624 bytes .../sat/Pickled168780615784943 | Bin 0 -> 608 bytes .../sat/Pickled1687806157865486 | Bin 0 -> 611 bytes .../sat/Pickled16878061578813138 | Bin 0 -> 598 bytes .../sat/Pickled16878061578968341 | Bin 0 -> 611 bytes .../sat/Pickled16878061579119468 | Bin 0 -> 611 bytes .../sat/Pickled1687806157926284 | Bin 0 -> 598 bytes .../sat/Pickled16878061579424064 | Bin 0 -> 649 bytes .../sat/Pickled168780615795797 | Bin 0 -> 649 bytes .../sat/Pickled16878061579743412 | Bin 0 -> 636 bytes .../sat/Pickled16878061579892082 | Bin 0 -> 782 bytes .../sat/Pickled16878061580055616 | Bin 0 -> 773 bytes .../sat/Pickled16878061580209787 | Bin 0 -> 760 bytes .../sat/Pickled16878061580359685 | Bin 0 -> 773 bytes .../sat/Pickled16878061580501447 | Bin 0 -> 773 bytes .../sat/Pickled16878061580675874 | Bin 0 -> 760 bytes .../sat/Pickled16878061580817144 | Bin 0 -> 773 bytes .../sat/Pickled16878061580988925 | Bin 0 -> 773 bytes .../sat/Pickled16878061581139777 | Bin 0 -> 760 bytes .../sat/Pickled16878061581292434 | Bin 0 -> 811 bytes .../sat/Pickled16878061581446276 | Bin 0 -> 811 bytes .../sat/Pickled1687806158159414 | Bin 0 -> 798 bytes .../sat/Pickled16878061581754835 | Bin 0 -> 627 bytes .../sat/Pickled1687806158191404 | Bin 0 -> 636 bytes .../sat/Pickled1687806158206803 | Bin 0 -> 623 bytes .../sat/Pickled16878061582234957 | Bin 0 -> 601 bytes .../sat/Pickled16878061582398438 | Bin 0 -> 610 bytes .../sat/Pickled16878061582678573 | Bin 0 -> 597 bytes .../sat/Pickled16878061582850423 | Bin 0 -> 610 bytes .../sat/Pickled16878061583005457 | Bin 0 -> 610 bytes .../sat/Pickled16878061583162215 | Bin 0 -> 597 bytes .../sat/Pickled16878061583318434 | Bin 0 -> 648 bytes .../sat/Pickled16878061583469243 | Bin 0 -> 648 bytes .../sat/Pickled16878061583622313 | Bin 0 -> 635 bytes .../sat/Pickled16878061583774834 | Bin 0 -> 636 bytes .../sat/Pickled1687806158392078 | Bin 0 -> 636 bytes .../sat/Pickled1687806158408451 | Bin 0 -> 623 bytes .../sat/Pickled16878061584227588 | Bin 0 -> 607 bytes .../sat/Pickled16878061584388282 | Bin 0 -> 610 bytes .../sat/Pickled16878061584538283 | Bin 0 -> 597 bytes .../sat/Pickled1687806158469687 | Bin 0 -> 610 bytes .../sat/Pickled16878061584847767 | Bin 0 -> 610 bytes .../sat/Pickled16878061585016494 | Bin 0 -> 597 bytes .../sat/Pickled16878061585168288 | Bin 0 -> 648 bytes .../sat/Pickled16878061585330045 | Bin 0 -> 648 bytes .../sat/Pickled16878061585481439 | Bin 0 -> 635 bytes .../sat/Pickled1687806158563279 | Bin 0 -> 781 bytes .../sat/Pickled1687806158579497 | Bin 0 -> 772 bytes .../sat/Pickled1687806158593655 | Bin 0 -> 759 bytes .../sat/Pickled1687806158609905 | Bin 0 -> 772 bytes .../sat/Pickled16878061586252353 | Bin 0 -> 772 bytes .../sat/Pickled1687806158641314 | Bin 0 -> 759 bytes .../sat/Pickled16878061586565053 | Bin 0 -> 772 bytes .../sat/Pickled16878061586708677 | Bin 0 -> 772 bytes .../sat/Pickled1687806158687061 | Bin 0 -> 759 bytes .../sat/Pickled16878061587024078 | Bin 0 -> 810 bytes .../sat/Pickled1687806158718597 | Bin 0 -> 810 bytes .../sat/Pickled16878061587342224 | Bin 0 -> 797 bytes .../optimization/Pickled16878066235629356 | Bin 0 -> 837 bytes .../optimization/Pickled16878066236049938 | Bin 0 -> 2520 bytes .../optimization/Pickled16878066236372154 | Bin 0 -> 1073 bytes .../optimization/Pickled16878066237845469 | Bin 0 -> 3262 bytes .../optimization/Pickled16878066245761554 | Bin 0 -> 62205 bytes .../optimization/Pickled16878066261877604 | Bin 0 -> 2328 bytes .../optimization/Pickled16878066272085466 | Bin 0 -> 2165 bytes .../optimization/Pickled1687806627289413 | Bin 0 -> 13596 bytes .../sat/Pickled16878066235036957 | Bin 0 -> 7666 bytes .../sat/Pickled16878066235919397 | Bin 0 -> 1108 bytes .../sat/Pickled16878066239069452 | Bin 0 -> 5819 bytes .../sat/Pickled16878066239968374 | Bin 0 -> 468 bytes .../sat/Pickled1687806624111994 | Bin 0 -> 647 bytes .../sat/Pickled16878066244060738 | Bin 0 -> 587 bytes .../sat/Pickled16878066244888022 | Bin 0 -> 666 bytes .../sat/Pickled1687806624518005 | Bin 0 -> 392 bytes .../sat/Pickled16878066251437888 | Bin 0 -> 1265 bytes .../sat/Pickled16878066251552794 | Bin 0 -> 1641 bytes .../sat/Pickled1687806625171589 | Bin 0 -> 1902 bytes .../sat/Pickled16878066251874642 | Bin 0 -> 2163 bytes .../sat/Pickled16878066252038777 | Bin 0 -> 2424 bytes .../sat/Pickled16878066252192297 | Bin 0 -> 2685 bytes .../sat/Pickled16878066252354314 | Bin 0 -> 2946 bytes .../sat/Pickled16878066252518227 | Bin 0 -> 3207 bytes .../sat/Pickled16878066252824645 | Bin 0 -> 3468 bytes .../sat/Pickled16878066253141232 | Bin 0 -> 3729 bytes .../sat/Pickled16878066253461053 | Bin 0 -> 3990 bytes .../sat/Pickled1687806625377455 | Bin 0 -> 4251 bytes .../sat/Pickled16878066254088652 | Bin 0 -> 4512 bytes .../sat/Pickled16878066254400392 | Bin 0 -> 4773 bytes .../sat/Pickled16878066254725003 | Bin 0 -> 5034 bytes .../sat/Pickled16878066255027454 | Bin 0 -> 5295 bytes .../sat/Pickled16878066255339766 | Bin 0 -> 5556 bytes .../sat/Pickled16878066255657654 | Bin 0 -> 5817 bytes .../sat/Pickled16878066255970938 | Bin 0 -> 6078 bytes .../sat/Pickled1687806625628279 | Bin 0 -> 6339 bytes .../sat/Pickled1687806625659659 | Bin 0 -> 6600 bytes .../sat/Pickled1687806625690758 | Bin 0 -> 6861 bytes .../sat/Pickled16878066257217517 | Bin 0 -> 7122 bytes .../sat/Pickled16878066257538412 | Bin 0 -> 7383 bytes 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Bin 0 -> 472 bytes .../sat/Pickled16878067534838564 | Bin 0 -> 502 bytes .../sat/Pickled16878067534999337 | Bin 0 -> 532 bytes .../sat/Pickled1687806753515352 | Bin 0 -> 562 bytes .../sat/Pickled16878067535310905 | Bin 0 -> 592 bytes .../sat/Pickled16878067535465863 | Bin 0 -> 622 bytes .../sat/Pickled16878067535619557 | Bin 0 -> 652 bytes .../sat/Pickled16878067535786614 | Bin 0 -> 682 bytes .../sat/Pickled1687806753592774 | Bin 0 -> 712 bytes .../sat/Pickled16878067536095738 | Bin 0 -> 725 bytes .../sat/Pickled16878067536247141 | Bin 0 -> 728 bytes .../sat/Pickled16878067536389072 | Bin 0 -> 728 bytes .../sat/Pickled16878067536579857 | Bin 0 -> 740 bytes .../sat/Pickled1687806753671548 | Bin 0 -> 743 bytes .../sat/Pickled1687806753685599 | Bin 0 -> 743 bytes .../sat/Pickled16878067537027001 | Bin 0 -> 743 bytes .../sat/Pickled16878067537163525 | Bin 0 -> 496 bytes .../sat/Pickled16878067537320094 | Bin 0 -> 752 bytes .../sat/Pickled16878067537468774 | Bin 0 -> 478 bytes 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11 + requirements.txt | 2 + solution_check.py | 151 +++ tests/test_exact.py | 36 + tests/test_gurobi.py | 37 + tests/test_ortools.py | 36 + tests/test_pysat.py | 37 + tests/test_pysdd.py | 37 + tests/test_solvers.py | 38 + tests/test_z3.py | 37 + tests/time_benchmarks.py | 49 + time_models.py | 77 ++ 1354 files changed, 3277 insertions(+) create mode 100644 README.MD create mode 100644 bug_minimization.py create mode 100644 categorize_bugs.py create mode 100644 equivalance check.py create mode 100644 metamorphic_tests.py create mode 100644 model_counting.py create mode 100644 model_stats.py create mode 100644 models/pickle-test_constraints/sat/Pickled16878061409334269 create mode 100644 models/pickle-test_constraints/sat/Pickled1687806140942426 create mode 100644 models/pickle-test_constraints/sat/Pickled16878061409568598 create mode 100644 models/pickle-test_constraints/sat/Pickled16878061409720914 create mode 100644 models/pickle-test_constraints/sat/Pickled16878061409892302 create 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00000000..4fb2c16b --- /dev/null +++ b/README.MD @@ -0,0 +1,36 @@ +# Fuzz Testing CPMpy + +Repository for the future testing of CPMpy with the use of differential testing and metamorphic testing. + +It also will contain a tool to reduce the model in case a bug is found and a way to obtain CPMpy models to test CPMpy using the two techniques above. + +This repository builds futher on the work of the thesis by Ruben Kindt which was under guidance of Tias Guns and Ignace Bleukx. + +If an error is found in an internal function, a file with the name internalfunctioncrash will be created, containing +function, argument, originalmodel, error and mutators used that cause the error. + +If a model becomes unsat after transformations, a file with the name lasterrormodel is created, containing +model (the unsat model), originalmodel, mutators (list of mutators that were used) + +These files can be read by using pickle.load, as you can see in the example code in errorexploration.py +That file also contains some code to reproduce the found bugs, and ways used to categorise all the bugs found during the experiments for CP24 +That was done dynamically and is out of scope of the 2024 paper, so this code can not be used as is. + +Commandline usage: +when measuring code coverage, first set the environment variable COVERAGE_FILE, as to be able to compare multiple files. +> export COVERAGE_FILE='.coverage_metamorphic-ortools5iter10hrs' + +To rerun the experiments form the 2024 paper: +run the metamorphic test with the specified solver, number of mutations per input model, and time to run in hours. +> nohup coverage run metamorphic_tests.py ortools 10 5 >/dev/null 2>&1 & +(for each verification method, number of mutations(n=1, 2, 5, 10) and solver = {ortools, minizinc) ) + +Every verification method has it's own python executable that works in a similar manner: +- metamorphic_tests.py : Satisifiability check +- equivalence check.py : All-Solutions check +- model_counting.py : Solution count check +- optimization.py : Optimisation check +- solution_check.py : 1-Solution check + +note that the experiments other than the one testing the number of mutations always use 5 mutations, so this 3rd parameter can be left out. + diff --git a/bug_minimization.py b/bug_minimization.py new file mode 100644 index 00000000..70580f46 --- /dev/null +++ b/bug_minimization.py @@ -0,0 +1,162 @@ +from cpmpy import Model +from cpmpy.transformations.get_variables import get_variables + +def mes_naive(soft, hard=[], solver="ortools"): + """ + Like MUS algorithm but in stead of looking for the model becoming sat + we look for the solve call to not throw an error anymore + """ + m = Model(hard + soft) + no_error = False + try: + m.solve(solver=solver) + no_error = True + except Exception: + pass + if no_error: + raise AssertionError("model should throw error during solve") + + mes = [] + # order so that constraints with many variables are tried and removed first + core = sorted(soft, key=lambda c: -len(get_variables(c))) + for i in range(len(core)): + subcore = mes + core[i + 1:] # check if all but 'i' makes core SAT + + try: + Model(hard + subcore).solve(solver=solver) + #removing it gives no more error, keep it + mes.append(core[i]) + except: + pass + return mes + +def mes_naive_solveAll(soft, hard=[], solver="ortools"): + """ + Like MUS algorithm but in stead of looking for the model becoming sat + we look for the solve call to not throw an error anymore + """ + m = Model(hard + soft) + no_error = False + try: + m.solveAll(solver=solver) + no_error = True + except Exception: + pass + if no_error: + raise AssertionError("model should throw error during solve") + + mes = [] + # order so that constraints with many variables are tried and removed first + core = sorted(soft, key=lambda c: -len(get_variables(c))) + for i in range(len(core)): + subcore = mes + core[i + 1:] # check if all but 'i' makes core SAT + + try: + Model(hard + subcore).solveAll(solver=solver) + #removing it gives no more error, keep it + mes.append(core[i]) + except: + pass + return mes + +def mes_optimistic(soft,hard = [],solver='ortools'): + #faster version, assuming that just 1 constraint leads to the bug. try them one by one + m = Model(hard + soft) + no_error = False + try: + m.solve(solver=solver) + no_error = True + except Exception: + pass + if no_error: + raise AssertionError("model should throw error during solve") + + for con in reversed(soft): + try: + Model(hard + [con]).solve(solver=solver) + except: + return con + + return None #no single constraint leads to the error +def mis_naive(soft,internalfunction, hard=[]): + """ + Like MUS algorithm but in stead of looking for the model becoming sat + we look for the internal transformation call to not throw an error anymore + """ + no_error = False + try: + internalfunction(soft + hard) + no_error = True + except Exception: + pass + if no_error: + raise AssertionError("function call should throw error") + + mis = [] + # order so that constraints with many variables are tried and removed first + core = sorted(soft, key=lambda c: -len(get_variables(c))) + for i in range(len(core)): + subcore = mis + core[i + 1:] # check if all but 'i' makes core SAT + + try: + internalfunction(hard + subcore) + #removing it gives no more error, keep it + mis.append(core[i]) + except: + pass + return mis + +def solutions_missing(cons1,cons2,solver='ortools'): + ''' + ''' + vars = set(get_variables(cons1)) + vars2 = set(get_variables(cons2)) + sols1 = set() + sols2 = set() + Model(cons2).solveAll(solver=solver,display=lambda: sols2.add(tuple(var == var.value() for var in vars2 if var in vars))) + Model(cons1).solveAll(solver=solver,display=lambda: sols1.add(tuple(var == var.value() for var in vars))) + + disappeared = sols1 - sols2 + appeared = sols2 - sols1 + print('sols1: ' + str(len(sols1))) + print('sols2: ' + str(len(sols2))) + print('dis: ' + str(len(disappeared))) + print('add: ' + str(len(appeared))) + return appeared, disappeared + +def mus_naive_counting(soft, hard=[], solver="ortools"): + """ + A naive pure CP deletion-based MUS algorithm + + Will repeatedly solve the problem from scratch with one less constraint + For anything but tiny sets of constraints, this will be terribly slow. + + Best to only use for testing on solvers that do not support assumptions. + For others, use `mus()` + + :param: soft: soft constraints, list of expressions + :param: hard: hard constraints, optional, list of expressions + :param: solver: name of a solver, see SolverLookup.solvernames() + """ + # ensure toplevel list + + m = Model(hard + soft) + assert m.solveAll(solver=solver) == 0, "MUS: model must return 0 solutions" + mus = [] + # order so that constraints with many variables are tried and removed first + core = sorted(soft, key=lambda c: -len(get_variables(c))) + for i in range(len(core)): + subcore = mus + core[i + 1:] # check if all but 'i' makes core SAT + try: + #print(hard + subcore) + if Model(hard + subcore).solveAll(solver=solver)>0: + # removing it makes it SAT, must keep for UNSAT + mus.append(core[i]) + # else: still UNSAT so don't need this candidate + except: + # solver error, call mes + mes = mes_naive(hard + subcore) + print("messing") + return mes + + return mus \ No newline at end of file diff --git a/categorize_bugs.py b/categorize_bugs.py new file mode 100644 index 00000000..19dd8fb4 --- /dev/null +++ b/categorize_bugs.py @@ -0,0 +1,915 @@ +''' +This file contains a few of the methods used to automatically categorize known bugs, in order to count how often they occured. +''' + +import sys + +from cpmpy.solvers import CPM_ortools +from cpmpy.solvers import CPM_minizinc + +from cpmpy.expressions.utils import is_num + +sys.path.append('../cpmpy') +import os +from cpmpy.expressions.variables import _IntVarImpl + +from cpmpy.transformations.flatten_model import get_or_make_var_or_list, get_or_make_var +from bug_minimization import * +from cpmpy import * +from cpmpy.tools.mus import mus_naive +import copy +from metamorphic_tests import * +a = False +b = False +c = False +errormodelsolutioncheck = False +errormodelcounting = False +errormodeloptimisation = False +errormodeloptimisationsat = False +errormodelequivalence = False +b = True +if c: + + #f = 'internalcrashes\\internalfunctioncrashnormalizenumexpr' + f = 'models\\grocery16650508470400221.bt' + with open(f, 'rb') as fpcl: + + modle = pickle.loads(fpcl.read()) + cons = modle.constraints + i = 1 + random.seed(i) + reify_rewrite_morph(cons) + #print(cons) + + +#read an internal crash +if a: + i = 1 + models = glob.glob(join("minizinc-solutioncheck10", 'internal*')) + for f in models: + print(str(f)) + #f = 'internalfunctioncrash{}.pickle'.format(i) + with open(f, 'rb') as fpcl: + funct,argum,lastmodel,e, mutatorsused = pickle.loads(fpcl.read()) + + '''if str(funct).__contains__('semanticFusion'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'semanticfusionerrors\\' + name) + ''' + print(funct) + #print(mis_naive(mutatorsused[21], lambda x: flatten_constraint(canonical_comparison(x)))) + mis = mis_naive(argum, funct) + print(mis) + print(funct(mis)) + + +#read lasterrormodel (unsat model) +elif b: + models = glob.glob(join("minizinc-metamorphic10", 'alldifferent_except0', 'lasterrormodel*')) + solver = 'minizinc' + for f in models: + with open(f, 'rb') as fpcl: + modle, originalmodel, mutatorsused = pickle.loads(fpcl.read()) + + #if resultfile: + #results = pickle.loads(fpcl.read()) + #print(results) + + with open(originalmodel, 'rb') as fpcl2: + startmodel = pickle.loads(fpcl2.read()) + originalcons = startmodel.constraints + + print(originalcons,f) + '''if str(mutatorsused).__contains__('semanticFusionwsum'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'wsumbugs\\' + name)''' + '''if str(mutatorsused).__contains__('canonical_comparison_morph') and str(originalcons).__contains__('boolval'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name)''' + crash = False + try: + print(modle.solve(solver=solver, time_limit=10)) + print('success') + continue + except Exception as e: + raise e + # solve crash + fpcl.close() + name = os.path.basename(f) + if str(originalcons).__contains__("alldifferent_except0"): + if not Path(f[:len(f) - len(name)] + 'alldifferent_except0').exists(): + os.mkdir(f[:len(f) - len(name)] + 'alldifferent_except0') + os.rename(f, f[:len(f) - len(name)] + 'alldifferent_except0\\' + name) + elif str(originalcons).__contains__("count"): + if not Path(f[:len(f) - len(name)] + 'count_in_wsum').exists(): + os.mkdir(f[:len(f) - len(name)] + 'count_in_wsum') + os.rename(f, f[:len(f) - len(name)] + 'count_in_wsum\\' + name) + else: + if not Path(f[:len(f) - len(name)] + 'solver_crash').exists(): + os.mkdir(f[:len(f) - len(name)] + 'solver_crash') + os.rename(f, f[:len(f) - len(name)] + 'solver_crash\\' + name) + crash = True + #assignments = modle.constraints[len(mutatorsused[-1]):] + #print(cp.Model(mutatorsused[-1])) + cstrsts = [] + cstrsts += [mutatorsused[0]] + newsat = True + notfixed = False + if not crash: + for x in mutatorsused: + if isinstance(x, list): + #sat = (Model(x).solve()) + #print(sat) + #if not sat: + '''if newsat: + # recomputing ourselfes we get sat, so we fixed something in the meantime.. + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'fixed\\' + name)''' + '''if Model(x).solve(): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'duplicatenames\\' + name)''' + #mus = mus_naive(x) + #print(mus) + #Model(mus).solve() + elif isinstance(x, float): + cstrsts += [x] + random.seed(x) + else: + print(x) + cstrsts += [x] + oldconstr = cstrsts[-3] + cstrs = x(oldconstr) + cstrsts += [oldconstr + cstrs] + print(Model(cstrs).solve()) + newsat = Model(oldconstr + cstrs).solve(solver=solver) + + print(newsat) + if not newsat and not notfixed: + if str(x).__contains__("canonical_comparison_morph"): + fpcl.close() + name = os.path.basename(f) + if str(originalcons).__contains__('boolval'): + if not Path(f[:len(f) - len(name)] + 'isbool_boolval').exists(): + os.mkdir(f[:len(f) - len(name)] + 'isbool_boolval') + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name) + else: + if not Path(f[:len(f) - len(name)] + 'canonical_comparison').exists(): + os.mkdir(f[:len(f) - len(name)] + 'canonical_comparison') + os.rename(f, f[:len(f) - len(name)] + 'canonical_comparison\\' + name) + notfixed = True + break + #if cp.Model(cstrs).solve(): + # print(cp.Model(cstrs).solve()) + #else: + # print(mus_naive(cstrs)) + + # print('tadadaa', x) + #break + '''if cp.Model(cstrs+assignments).solve(): + print(cp.Model(cstrs).solve()) + else: + print(mus_naive(cstrs, assignments)) + print('tadadaa', x)''' + if not notfixed: + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'fixed\\' + name) + +elif errormodelsolutioncheck: + models = glob.glob(join("minizinc-solutioncheck5", 'lasterrormodel*')) + solver = 'minizinc' + for f in models: + print(f) + with open(f, 'rb') as fpcl: + modle, originalmodel, mutatorsused = pickle.loads(fpcl.read()) + + #if resultfile: + #results = pickle.loads(fpcl.read()) + #print(results) + + with open(originalmodel, 'rb') as fpcl2: + startmodel = pickle.loads(fpcl2.read()) + originalcons = startmodel.constraints + + #print(originalcons) + '''if str(mutatorsused).__contains__('semanticFusionwsum'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'wsumbugs\\' + name)''' + '''if str(mutatorsused).__contains__('canonical_comparison_morph') and str(originalcons).__contains__('boolval'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name)''' + crash = False + try: + print(modle.solve(solver=solver,time_limit=5)) + except Exception as e: + print(str(e)) + # solve crash + fpcl.close() + name = os.path.basename(f) + if str(originalcons).__contains__("alldifferent_except0"): + if not Path(f[:len(f) - len(name)] + 'alldifferent_except0').exists(): + os.mkdir(f[:len(f) - len(name)] + 'alldifferent_except0') + os.rename(f, f[:len(f) - len(name)] + 'alldifferent_except0\\' + name) + elif str(originalcons).__contains__("count"): + if not Path(f[:len(f) - len(name)] + 'count_in_wsum').exists(): + os.mkdir(f[:len(f) - len(name)] + 'count_in_wsum') + os.rename(f, f[:len(f) - len(name)] + 'count_in_wsum\\' + name) + elif str(e).__contains__("Expecting value"): + if not Path(f[:len(f) - len(name)] + 'jsonbug').exists(): + os.mkdir(f[:len(f) - len(name)] + 'jsonbug') + os.rename(f, f[:len(f) - len(name)] + 'jsonbug\\' + name) + else: + if not Path(f[:len(f) - len(name)] + 'solver_crash').exists(): + os.mkdir(f[:len(f) - len(name)] + 'solver_crash') + os.rename(f, f[:len(f) - len(name)] + 'solver_crash\\' + name) + crash = True + assignments = modle.constraints[len(mutatorsused[-1]):] + #print(cp.Model(mutatorsused[-1])) + cstrsts = [] + cstrsts += [mutatorsused[0]] + newsat = True + notfixed = False + if not crash: + for x in mutatorsused: + if isinstance(x, list): + #sat = (Model(x).solve()) + #print(sat) + #if not sat: + '''if newsat: + # recomputing ourselfes we get sat, so we fixed something in the meantime.. + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'fixed\\' + name)''' + '''if Model(x).solve(): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'duplicatenames\\' + name)''' + #mus = mus_naive(x) + #print(mus) + #Model(mus).solve() + elif isinstance(x, float): + cstrsts += [x] + random.seed(x) + else: + #print(x) + cstrsts += [x] + oldconstr = cstrsts[-3] + cstrs = x(oldconstr) + cstrsts += [oldconstr + cstrs] + newsat = Model(oldconstr + cstrs + assignments).solve(solver=solver) + if not newsat and not notfixed: + print(mus_naive(oldconstr+cstrs+assignments, solver=solver)) + if str(x).__contains__("canonical_comparison_morph"): + fpcl.close() + name = os.path.basename(f) + if str(originalcons).__contains__('boolval'): + if not Path(f[:len(f) - len(name)] + 'isbool_boolval').exists(): + os.mkdir(f[:len(f) - len(name)] + 'isbool_boolval') + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name) + else: + if not Path(f[:len(f) - len(name)] + 'canonical_comparison').exists(): + os.mkdir(f[:len(f) - len(name)] + 'canonical_comparison') + os.rename(f, f[:len(f) - len(name)] + 'canonical_comparison\\' + name) + notfixed = True + break + if str(originalcons).__contains__('][l]'): + fpcl.close() + name = os.path.basename(f) + if not Path(f[:len(f) - len(name)] + 'element').exists(): + os.mkdir(f[:len(f) - len(name)] + 'element') + os.rename(f, f[:len(f) - len(name)] + 'element\\' + name) + notfixed = True + break + #if cp.Model(cstrs).solve(): + # print(cp.Model(cstrs).solve()) + #else: + # print(mus_naive(cstrs)) + + # print('tadadaa', x) + #break + '''if cp.Model(cstrs+assignments).solve(): + print(cp.Model(cstrs).solve()) + else: + print(mus_naive(cstrs, assignments)) + print('tadadaa', x)''' + if not notfixed: + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'fixed\\' + name) + +#read lasterrormodel (unsat model) +elif errormodelcounting: + models = glob.glob(join("ortools-counting10", 'ortoolsunsatbug', 'lasterrormodel*')) + solver = 'ortools' + for f in models[:]: + with open(f, 'rb') as fpcl: + modle, originalmodel, mutatorsused = pickle.loads(fpcl.read()) + + #if resultfile: + #results = pickle.loads(fpcl.read()) + #print(results) + print(f) + with open(originalmodel, 'rb') as fpcl2: + startmodel = pickle.loads(fpcl2.read()) + originalcons = startmodel.constraints + + print(originalcons) + '''if str(mutatorsused).__contains__('semanticFusionwsum'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'wsumbugs\\' + name)''' + '''if str(mutatorsused).__contains__('canonical_comparison_morph') and str(originalcons).__contains__('boolval'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name)''' + crash = False + try: + print(modle.solve()) + #print(modle.solve('minizinc')) + count = modle.solveAll(solver=solver) + print(count) + originalcount = Model(originalcons).solveAll(solver=solver) + print(originalcount) + except Exception as e: + mes = (mes_naive(modle.constraints, solver='minizinc')) + (Model(mes, solver='minizinc').solve()) + print(mes) + print('lalala') + # solve crash + raise e + fpcl.close() + name = os.path.basename(f) + if not Path(f[:len(f) - len(name)] + 'solver_crash').exists(): + os.mkdir(f[:len(f) - len(name)] + 'solver_crash') + os.rename(f, f[:len(f) - len(name)] + 'solver_crash\\' + name) + crash = True + #assignments = modle.constraints[len(mutatorsused[-1]):] + #print(cp.Model(mutatorsused[-1])) + cstrsts = [] + cstrsts += [mutatorsused[0]] + newsat = True + notfixed = False + if not crash: + for x in mutatorsused: + if isinstance(x, list): + #sat = (Model(x).solve()) + #print(sat) + #if not sat: + '''if newsat: + # recomputing ourselfes we get sat, so we fixed something in the meantime.. + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'fixed\\' + name)''' + '''if Model(x).solve(): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'duplicatenames\\' + name)''' + #mus = mus_naive(x) + #print(mus) + #Model(mus).solve() + elif isinstance(x, float): + cstrsts += [x] + random.seed(x) + else: + print(x) + lastmutator = x + cstrsts += [x] + oldconstr = cstrsts[-3] + cstrs = x(oldconstr) + cstrsts += [oldconstr + cstrs] + newcount = Model(oldconstr + cstrs).solveAll(solver=solver) + print(newcount) + print(cstrs) + newsat = (newcount == originalcount) + if not newsat and not notfixed: + if str(x).__contains__("canonical_comparison_morph"): + fpcl.close() + name = os.path.basename(f) + if str(originalcons).__contains__('boolval'): + if not Path(f[:len(f) - len(name)] + 'isbool_boolval').exists(): + os.mkdir(f[:len(f) - len(name)] + 'isbool_boolval') + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name) + else: + if not Path(f[:len(f) - len(name)] + 'canonical_comparison').exists(): + os.mkdir(f[:len(f) - len(name)] + 'canonical_comparison') + os.rename(f, f[:len(f) - len(name)] + 'canonical_comparison\\' + name) + elif str(originalcons).__contains__('][l]'): + fpcl.close() + name = os.path.basename(f) + if not Path(f[:len(f) - len(name)] + 'element').exists(): + os.mkdir(f[:len(f) - len(name)] + 'element') + os.rename(f, f[:len(f) - len(name)] + 'element\\' + name) + notfixed = True + break + #if cp.Model(cstrs).solve(): + # print(cp.Model(cstrs).solve()) + #else: + # print(mus_naive(cstrs)) + + # print('tadadaa', x) + #break + '''if cp.Model(cstrs+assignments).solve(): + print(cp.Model(cstrs).solve()) + else: + print(mus_naive(cstrs, assignments)) + print('tadadaa', x)''' + if not notfixed: + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'wsumcounting\\' + name) + +elif errormodeloptimisation: + models = glob.glob(join("minizinc-optimization10", 'solver_crash', 'lasterrormodel*')) + solver = 'minizinc' + for f in models[:]: + with open(f, 'rb') as fpcl: + modle, originalmodel, mutatorsused = pickle.loads(fpcl.read()) + + #if resultfile: + #results = pickle.loads(fpcl.read()) + #print(results) + print(f) + with open(originalmodel, 'rb') as fpcl2: + startmodel = pickle.loads(fpcl2.read()) + originalcons = startmodel.constraints + + print(originalcons) + '''if str(mutatorsused).__contains__('semanticFusionwsum'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'wsumbugs\\' + name)''' + '''if str(mutatorsused).__contains__('canonical_comparison_morph') and str(originalcons).__contains__('boolval'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name)''' + crash = False + try: + sat = modle.solve(solver=solver) + if sat: + value = modle.objective_value() + else: + print(modle.solve(solver=solver)) + print(modle.solve(solver='ortools')) + value = 0.0169 + print(value) + objective = startmodel.objective_ + mininimize = startmodel.objective_is_min + sat2 = startmodel.solve(solver=solver) + if sat2: + originalvalue = startmodel.objective_value() + else: + originalvalue = 0.069 + print(originalvalue) + if value == originalvalue: + # not an optimisation bug? + pass + except Exception as e: + raise e + print('.') + mes = (mes_naive(modle.constraints,solver='minizinc')) + print(get_variables(mes)) + Model(mes.solve(solver=solver)) + + print('.') + print('.') + print('.') + print('.') + print('.') + print('.') + print('.') + print('.') + print('.') + print('.') + print('.') + print('.') + print('.') + print('.') + raise e + # solve crash + fpcl.close() + name = os.path.basename(f) + if str(originalcons).__contains__("alldifferent_except0"): + if not Path(f[:len(f) - len(name)] + 'alldifferent_except0').exists(): + os.mkdir(f[:len(f) - len(name)] + 'alldifferent_except0') + os.rename(f, f[:len(f) - len(name)] + 'alldifferent_except0\\' + name) + elif str(originalcons).__contains__("count"): + if not Path(f[:len(f) - len(name)] + 'count_in_wsum').exists(): + os.mkdir(f[:len(f) - len(name)] + 'count_in_wsum') + os.rename(f, f[:len(f) - len(name)] + 'count_in_wsum\\' + name) + else: + if not Path(f[:len(f) - len(name)] + 'solver_crash').exists(): + os.mkdir(f[:len(f) - len(name)] + 'solver_crash') + os.rename(f, f[:len(f) - len(name)] + 'solver_crash\\' + name) + crash = True + #assignments = modle.constraints[len(mutatorsused[-1]):] + #print(cp.Model(mutatorsused[-1])) + cstrsts = [] + cstrsts += [mutatorsused[0]] + newsat = True + notfixed = False + if not crash: + for x in mutatorsused: + if isinstance(x, list): + #sat = (Model(x).solve()) + #print(sat) + #if not sat: + '''if newsat: + # recomputing ourselfes we get sat, so we fixed something in the meantime.. + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'fixed\\' + name)''' + '''if Model(x).solve(): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'duplicatenames\\' + name)''' + #mus = mus_naive(x) + #print(mus) + #Model(mus).solve() + elif isinstance(x, float): + cstrsts += [x] + random.seed(x) + else: + print(x) + lastmutator = x + cstrsts += [x] + oldconstr = cstrsts[-3] + cstrs = x(oldconstr) + cstrsts += [oldconstr + cstrs] + nextmodel = Model(oldconstr + cstrs) + if mininimize: + nextmodel.minimize(objective) + else: + nextmodel.maximize(objective) + sat1 = nextmodel.solve(solver=solver) + if sat1: + newvalue = nextmodel.objective_value() + else: + newvalue = 0.6969 + print(newvalue) + newsat = (newvalue == originalvalue) + if not newsat and not notfixed: + if str(x).__contains__("canonical_comparison_morph"): + fpcl.close() + name = os.path.basename(f) + if str(originalcons).__contains__('boolval'): + if not Path(f[:len(f) - len(name)] + 'isbool_boolval').exists(): + os.mkdir(f[:len(f) - len(name)] + 'isbool_boolval') + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name) + else: + if not Path(f[:len(f) - len(name)] + 'canonical_comparison').exists(): + os.mkdir(f[:len(f) - len(name)] + 'canonical_comparison') + os.rename(f, f[:len(f) - len(name)] + 'canonical_comparison\\' + name) + elif str(originalcons).__contains__('][l]'): + fpcl.close() + name = os.path.basename(f) + if not Path(f[:len(f) - len(name)] + 'element').exists(): + os.mkdir(f[:len(f) - len(name)] + 'element') + os.rename(f, f[:len(f) - len(name)] + 'element\\' + name) + notfixed = True + break + #if cp.Model(cstrs).solve(): + # print(cp.Model(cstrs).solve()) + #else: + # print(mus_naive(cstrs)) + + # print('tadadaa', x) + #break + '''if cp.Model(cstrs+assignments).solve(): + print(cp.Model(cstrs).solve()) + else: + print(mus_naive(cstrs, assignments)) + print('tadadaa', x)''' + if not notfixed: + print(modle) + print(nextmodel) + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'nochange\\' + name) + +elif errormodelequivalence: + #give appropriate name of error model + models = glob.glob(join("minizinc-equivalence10", 'slow', 'lasterrormodel*')) + solver = 'minizinc' + for f in models: + with open(f, 'rb') as fpcl: + modle, originalmodel, mutatorsused = pickle.loads(fpcl.read()) + + #if resultfile: + #results = pickle.loads(fpcl.read()) + #print(results) + print(f) + with open(originalmodel, 'rb') as fpcl2: + startmodel = pickle.loads(fpcl2.read()) + originalcons = startmodel.constraints + + print(originalcons) + '''if str(mutatorsused).__contains__('semanticFusionwsum'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'wsumbugs\\' + name)''' + '''if str(mutatorsused).__contains__('canonical_comparison_morph') and str(originalcons).__contains__('boolval'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name)''' + crash = False + print('solving..') + modle.solve(solver=solver,time_limit=5) + print('done') + original_vars = get_variables(originalcons) + strvars = [str(x) for x in original_vars] + original_solss = set() + try: + cp.Model(originalcons).solveAll(solver=solver, time_limit=250, + display=lambda: original_solss.add((tuple(v == v.value() for v in original_vars)))) + original_sols = set() + for x in original_solss: + x = list(x) + x.sort(key=lambda x: str(x)) + x = tuple(x) + original_sols.add(x) + + sat = modle.solve(solver=solver) + except Exception as e: + # solve crash + + fpcl.close() + name = os.path.basename(f) + if str(originalcons).__contains__("alldifferent_except0"): + if not Path(f[:len(f) - len(name)] + 'alldifferent_except0').exists(): + os.mkdir(f[:len(f) - len(name)] + 'alldifferent_except0') + os.rename(f, f[:len(f) - len(name)] + 'alldifferent_except0\\' + name) + + elif not Path(f[:len(f) - len(name)] + 'solver_crash').exists(): + os.mkdir(f[:len(f) - len(name)] + 'solver_crash') + os.rename(f, f[:len(f) - len(name)] + 'solver_crash\\' + name) + crash = True + #assignments = modle.constraints[len(mutatorsused[-1]):] + #print(cp.Model(mutatorsused[-1])) + cstrsts = [] + cstrsts += [mutatorsused[0]] + newsat = True + notfixed = False + if not crash: + for x in mutatorsused: + if isinstance(x, list): + #sat = (Model(x).solve()) + #print(sat) + #if not sat: + '''if newsat: + # recomputing ourselfes we get sat, so we fixed something in the meantime.. + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'fixed\\' + name)''' + '''if Model(x).solve(): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'duplicatenames\\' + name)''' + #mus = mus_naive(x) + #print(mus) + #Model(mus).solve() + elif isinstance(x, float): + cstrsts += [x] + random.seed(x) + else: + print(x) + lastmutator = x + cstrsts += [x] + oldconstr = cstrsts[-3] + cstrs = x(oldconstr) + cstrsts += [oldconstr + cstrs] + nextmodel = Model(oldconstr + cstrs) + new_solss = set() + vars2 = set(get_variables(oldconstr+cstrs)) + nextmodel.solveAll(solver=solver, display=lambda: new_solss.add( + tuple(var == var.value() for var in vars2 if str(var) in strvars))) + new_sols = set() + for zx in new_solss: + zx = list(zx) + zx.sort(key = lambda x: str(x)) + zx = tuple(zx) + new_sols.add(zx) + print(original_sols) + print(new_sols) + change = new_sols ^ original_sols + print(len(change)) + newsat = (len(change) == 0) + if not newsat and not notfixed: + if str(x).__contains__("canonical_comparison_morph"): + fpcl.close() + name = os.path.basename(f) + if str(originalcons).__contains__('boolval'): + if not Path(f[:len(f) - len(name)] + 'isbool_boolval').exists(): + os.mkdir(f[:len(f) - len(name)] + 'isbool_boolval') + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name) + else: + if not Path(f[:len(f) - len(name)] + 'canonical_comparison').exists(): + os.mkdir(f[:len(f) - len(name)] + 'canonical_comparison') + os.rename(f, f[:len(f) - len(name)] + 'canonical_comparison\\' + name) + elif str(originalcons).__contains__('][l]'): + fpcl.close() + name = os.path.basename(f) + if not Path(f[:len(f) - len(name)] + 'element').exists(): + os.mkdir(f[:len(f) - len(name)] + 'element') + os.rename(f, f[:len(f) - len(name)] + 'element\\' + name) + notfixed = True + break + #if cp.Model(cstrs).solve(): + # print(cp.Model(cstrs).solve()) + #else: + # print(mus_naive(cstrs)) + + # print('tadadaa', x) + #break + '''if cp.Model(cstrs+assignments).solve(): + print(cp.Model(cstrs).solve()) + else: + print(mus_naive(cstrs, assignments)) + print('tadadaa', x)''' + if not notfixed: + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'fixed\\' + name) + +elif errormodeloptimisationsat: + models = glob.glob(join("minizinc-optimization_sat5", 'lasterrormodel*')) + solver = 'minizinc' + for f in models[:]: + with open(f, 'rb') as fpcl: + modle, originalmodel, mutatorsused = pickle.loads(fpcl.read()) + + #if resultfile: + #results = pickle.loads(fpcl.read()) + #print(results) + print(f) + with open(originalmodel, 'rb') as fpcl2: + startmodel = pickle.loads(fpcl2.read()) + originalcons = startmodel.constraints + + print(originalcons) + '''if str(mutatorsused).__contains__('semanticFusionwsum'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'wsumbugs\\' + name)''' + '''if str(mutatorsused).__contains__('canonical_comparison_morph') and str(originalcons).__contains__('boolval'): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name)''' + crash = False + try: + ovars = get_variables(startmodel.constraints) + sat = modle.solve(solver=solver,time_limit=5) + print(modle.objective_) + print(modle.objective_is_min) + print(sat) + print([str(v) + " =" + str(v.value()) for v in ovars] ) + print(modle.status().exitstatus) + sat = modle.solve(solver=solver) + print(sat) + print([str(v) + " =" + str(v.value()) for v in ovars]) + print(modle.status().exitstatus) + if sat: + value = modle.objective_value() + else: + print(sat) + print(modle.solve(solver=solver)) + if modle.solve('ortools'): + name = os.path.basename(f) + if not Path(f[:len(f) - len(name)] + 'minizinc_unsat').exists(): + os.mkdir(f[:len(f) - len(name)] + 'minizinc_unsat') + os.rename(f, f[:len(f) - len(name)] + 'minizinc_unsat\\' + name) + value = 0.0169 + print(value) + objective = sum(ovars) + startmodel.objective_ = objective + mininimize = True + startmodel.objective_is_min = mininimize + sat2 = startmodel.solve(solver=solver) + if sat2: + originalvalue = startmodel.objective_value() + else: + originalvalue = 0.069 + print(originalvalue) + if value == originalvalue: + # not an optimisation bug? + pass + except Exception as e: + # solve crash + fpcl.close() + name = os.path.basename(f) + if str(e).__contains__("Not a known supported ORTools left"): + if not Path(f[:len(f) - len(name)] + 'missingcase_flatten').exists(): + os.mkdir(f[:len(f) - len(name)] + 'missingcase_flatten') + os.rename(f, f[:len(f) - len(name)] + 'missingcase_flatten\\' + name) + elif str(originalcons).__contains__("alldifferent_except0"): + if not Path(f[:len(f) - len(name)] + 'alldifferent_except0').exists(): + os.mkdir(f[:len(f) - len(name)] + 'alldifferent_except0') + os.rename(f, f[:len(f) - len(name)] + 'alldifferent_except0\\' + name) + elif str(originalcons).__contains__("count"): + if not Path(f[:len(f) - len(name)] + 'count_in_wsum').exists(): + os.mkdir(f[:len(f) - len(name)] + 'count_in_wsum') + os.rename(f, f[:len(f) - len(name)] + 'count_in_wsum\\' + name) + elif str(e).__contains__("Expecting value"): + if not Path(f[:len(f) - len(name)] + 'jsonbug').exists(): + os.mkdir(f[:len(f) - len(name)] + 'jsonbug') + os.rename(f, f[:len(f) - len(name)] + 'jsonbug\\' + name) + + else: + print(e) + if not Path(f[:len(f) - len(name)] + 'solver_crash').exists(): + os.mkdir(f[:len(f) - len(name)] + 'solver_crash') + os.rename(f, f[:len(f) - len(name)] + 'solver_crash\\' + name) + crash = True + #assignments = modle.constraints[len(mutatorsused[-1]):] + #print(cp.Model(mutatorsused[-1])) + cstrsts = [] + cstrsts += [mutatorsused[0]] + newsat = True + notfixed = False + if not crash: + for x in mutatorsused: + if isinstance(x, list): + #sat = (Model(x).solve()) + #print(sat) + #if not sat: + '''if newsat: + # recomputing ourselfes we get sat, so we fixed something in the meantime.. + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'fixed\\' + name)''' + '''if Model(x).solve(): + fpcl.close() + name = os.path.basename(f) + os.rename(f, f[:len(f) - len(name)] + 'duplicatenames\\' + name)''' + #mus = mus_naive(x) + #print(mus) + #Model(mus).solve() + elif isinstance(x, float): + cstrsts += [x] + random.seed(x) + else: + print(x) + lastmutator = x + cstrsts += [x] + oldconstr = cstrsts[-3] + cstrs = x(oldconstr) + cstrsts += [oldconstr + cstrs] + nextmodel = Model(oldconstr + cstrs) + if mininimize: + nextmodel.minimize(objective) + else: + nextmodel.maximize(objective) + sat1 = nextmodel.solve(solver=solver) + if sat1: + newvalue = nextmodel.objective_value() + else: + newvalue = 0.6969 + print(newvalue) + print([str(v) + " =" + str(v.value()) for v in ovars]) + newsat = (newvalue == originalvalue) + if not newsat and not notfixed: + if str(x).__contains__("canonical_comparison_morph"): + fpcl.close() + name = os.path.basename(f) + if str(originalcons).__contains__('boolval'): + if not Path(f[:len(f) - len(name)] + 'isbool_boolval').exists(): + os.mkdir(f[:len(f) - len(name)] + 'isbool_boolval') + os.rename(f, f[:len(f) - len(name)] + 'isbool_boolval\\' + name) + else: + if not Path(f[:len(f) - len(name)] + 'canonical_comparison').exists(): + os.mkdir(f[:len(f) - len(name)] + 'canonical_comparison') + os.rename(f, f[:len(f) - len(name)] + 'canonical_comparison\\' + name) + elif str(originalcons).__contains__('][l]'): + fpcl.close() + name = os.path.basename(f) + if not Path(f[:len(f) - len(name)] + 'element').exists(): + os.mkdir(f[:len(f) - len(name)] + 'element') + os.rename(f, f[:len(f) - len(name)] + 'element\\' + name) + notfixed = True + break + #if cp.Model(cstrs).solve(): + # print(cp.Model(cstrs).solve()) + #else: + # print(mus_naive(cstrs)) + + # print('tadadaa', x) + #break + '''if cp.Model(cstrs+assignments).solve(): + print(cp.Model(cstrs).solve()) + else: + print(mus_naive(cstrs, assignments)) + print('tadadaa', x)''' + if not notfixed: + print(modle) + print(nextmodel) + fpcl.close() + name = os.path.basename(f) + if not Path(f[:len(f) - len(name)] + 'nochange').exists(): + os.mkdir(f[:len(f) - len(name)] + 'nochange') + os.rename(f, f[:len(f) - len(name)] + 'nochange\\' + name) \ No newline at end of file diff --git a/equivalance check.py b/equivalance check.py new file mode 100644 index 00000000..597fb577 --- /dev/null +++ b/equivalance check.py @@ -0,0 +1,154 @@ + +import glob +import pickle +import os +from pathlib import Path +from os.path import join +import time +import sys +sys.path.append('../cpmpy') +from cpmpy.exceptions import CPMpyException +import cpmpy as cp +from mutators import * + + + +def metamorphic_test(solver, iters,f,enb,exclude_dict): + # list of mutators + mm_mutators = [xor_morph, and_morph, or_morph, implies_morph, not_morph, + linearize_constraint_morph, + flatten_morph, + only_numexpr_equality_morph, + normalized_numexpr_morph, + reify_rewrite_morph, + only_bv_reifies_morph, + only_positive_bv_morph, + flat2cnf_morph, + toplevel_list_morph, + decompose_in_tree_morph, + push_down_negation_morph, + simplify_boolean_morph, + canonical_comparison_morph, + aritmetic_comparison_morph, + semanticFusionCounting, + semanticFusionCountingMinus, + semanticFusionCountingwsum] + + originalmodel = f + with open(f, 'rb') as fpcl: + cons = pickle.loads(fpcl.read()).constraints + #if compressed: cons = pickle.loads(brotli.decompress(fpcl.read())).constraints + assert (len(cons)>0), f"{f} has no constraints" + cons = toplevel_list(cons) + assert (len(cons)>0), f"{f} has no constraints after l2conj" + original_vars = get_variables(cons) + original_sols = set() + cp.Model(cons).solveAll(solver=solver,time_limit=250, display=lambda: original_sols.add(tuple([v.value() for v in original_vars]))) + mutators = [copy.deepcopy(cons)] #keep track of list of cons alternated with mutators that transformed it into the next list of cons. + for i in range(iters): + # choose a metamorphic mutation, don't choose any from exclude_dict + if f in exclude_dict: + valid_mutators = list(set(mm_mutators) - set(exclude_dict[f])) + else: + valid_mutators = mm_mutators + m = random.choice(valid_mutators) + seed = random.random() + random.seed(seed) + mutators += [seed] + # an error can occur in the transformations, so even before the solve call. + # log function and arguments in that case + mutators += [m] + try: + print(m) + cons += m(cons) # apply a metamorphic mutation + print('done') + mutators += [copy.deepcopy(cons)] + except MetamorphicError as exc: + #add to exclude_dict, to avoid running into the same error + if f in exclude_dict: + exclude_dict[f] += [m] + else: + exclude_dict[f] = [m] + enb += 1 + function, argument, e = exc.args + if isinstance(e,CPMpyException): + #expected behavior if we throw a cpmpy exception, do not log + return True + filename = join(solver + '-equivalence'+str(iters), "internalfunctioncrash"+str(enb)+".pickle") + with open(filename, "wb") as ff: + pickle.dump([function, argument, originalmodel, e, mutators], file=ff) # log function and arguments that caused exception + print('IE', end='', flush=True) + return False # no need to solve model we didn't modify.. + # enough mutations, time for solving + try: + model = cp.Model(cons) + new_sols = set() + model.solveAll(solver=solver, time_limit=200, display=lambda: new_sols.add(tuple([v.value() for v in original_vars]))) + change = new_sols ^ original_sols + if model.status().runtime > 190: + # timeout, skip + print('s', end='', flush=True) + return True + elif len(change) == 0: + # has to be same + print('.', end='', flush=True) + return True + else: + print('X', end='', flush=True) + except Exception as e: + if isinstance(e,(CPMpyException, NotImplementedError)): + #expected error message, ignore + return True + print('E', end='', flush=True) + + + # if you got here, the model failed... + enb += 1 + with open(join(solver + '-equivalence'+str(iters), "lasterrormodel" + str(enb)+".pickle"), "wb") as f: + pickle.dump([model, originalmodel, mutators], file=f) + return False + + +if __name__ == '__main__': + if len(sys.argv) > 2: + solver = sys.argv[1] + hrs = float(sys.argv[2]) + iters = int(sys.argv[3]) + else: + hrs = 1 + solver = "ortools" + iters = 5 # number of metamorphic mutations per model + rseed = 0 + random.seed(rseed) + sat = True + enb = 0 + consper = 0.5 # set between 0 and 1 + if Path('cpmpy-bigtest-private').exists(): + os.chdir('cpmpy-bigtest-private') + resultfile = join(solver + '-equivalence'+str(iters), 'result') + if not Path(solver + '-equivalence'+str(iters)).exists(): + os.mkdir(solver + '-equivalence'+str(iters)) + exclude_dict = {} + dirname = "models" + folders = [os.path.join(dirname, 'pickle-test_constraints'), os.path.join(dirname, 'pickle_examples'), + os.path.join(dirname, 'pickle_test_expression'), os.path.join(dirname, 'pickle_test_globals')] + folders = [os.path.join(dirname, 'pickle-test_constraints'), os.path.join(dirname, 'pickle_test_expression'), + os.path.join(dirname, 'pickle_test_globals')] + fmodels = [] + for folder in folders: + fmodels.extend(glob.glob(join(folder,'sat', "*"))) + endtime = time.time() + 3600 * hrs + nb_of_models = 0 + while time.time() < endtime: + random.shuffle(fmodels) + for fmodel in fmodels: + #print("timeleft: ", endtime - time.time()) + if time.time() > endtime: + break + sat = metamorphic_test(solver, iters, fmodel, enb, exclude_dict) + if not sat: + enb += 1 + nb_of_models += 1 + + with open(resultfile, "wb") as ff: + pickle.dump({'nb_of_models' : nb_of_models, 'hours' : hrs, 'nb_of_errors' : enb, 'solver' : solver, 'testtype' : 'equivalence', 'iters' : iters, 'randomseed' : rseed}, file=ff) # log some stats diff --git a/metamorphic_tests.py b/metamorphic_tests.py new file mode 100644 index 00000000..5cc117e0 --- /dev/null +++ b/metamorphic_tests.py @@ -0,0 +1,157 @@ + +import glob +import os +import pickle +import random +import time +from os.path import join +import sys +from pathlib import Path + +sys.path.append('../cpmpy') + +import cpmpy as cp +from cpmpy.exceptions import CPMpyException + +from mutators import * + + + +def metamorphic_test(solver, iters,f,enb,consper, exclude_dict): + # list of mutators. + mm_mutators = [xor_morph, and_morph, or_morph, implies_morph, not_morph, + linearize_constraint_morph, + flatten_morph, + only_numexpr_equality_morph, + normalized_numexpr_morph, + reify_rewrite_morph, + only_bv_reifies_morph, + only_positive_bv_morph, + flat2cnf_morph, + toplevel_list_morph, + decompose_in_tree_morph, + push_down_negation_morph, + simplify_boolean_morph, + canonical_comparison_morph, + aritmetic_comparison_morph, + semanticFusion, + semanticFusionMinus, + semanticFusionwsum] + # choose a random model + originalmodel = f + with open(f, 'rb') as fpcl: + cons = pickle.loads(fpcl.read()).constraints + #if compressed: cons = pickle.loads(brotli.decompress(fpcl.read())).constraints + assert (len(cons)>0), f"{f} has no constraints" + cons = toplevel_list(cons) + assert (len(cons)>0), f"{f} has no constraints after l2conj" + assert (cp.Model(cons).solve()), f"{f} is not sat" + mutators = [copy.deepcopy(cons)] #keep track of list of cons alternated with mutators that transformed it into the next list of cons. + for i in range(iters): + # choose a metamorphic mutation, don't choose any from exclude_dict + if f in exclude_dict: + valid_mutators = list(set(mm_mutators) - set(exclude_dict[f])) + else: + valid_mutators = mm_mutators + m = random.choice(valid_mutators) + seed = random.random() + random.seed(seed) + mutators += [seed] + # an error can occur in the transformations, so even before the solve call. + # log function and arguments in that case + mutators += [m] + try: + cons += m(cons) # apply a metamorphic mutation + mutators += [copy.deepcopy(cons)] + except MetamorphicError as exc: + #add to exclude_dict, to avoid running into the same error + if f in exclude_dict: + exclude_dict[f] += [m] + else: + exclude_dict[f] = [m] + enb += 1 + function, argument, e = exc.args + if isinstance(e,CPMpyException): + #expected behavior if we throw a cpmpy exception, do not log + return True + elif function == semanticFusion: + return True + #don't log semanticfusion crash + filename = join(solver + '-metamorphic' + str(iters),"internalfunctioncrash"+str(enb)+".pickle") + with open(filename, "wb") as ff: + pickle.dump([function, argument, originalmodel, e, mutators], file=ff) # log function and arguments that caused exception + print('IE', end='', flush=True) + return False # no need to solve model we didn't modify.. + # enough mutations, time for solving + try: + model = cp.Model(cons) + sat = model.solve(solver=solver, time_limit=200) + if model.status().runtime > 190: + # timeout, skip + print('s', end='', flush=True) + return True + elif sat: + # has to be SAT... + print('.', end='', flush=True) + return True + else: + print('X', end='', flush=True) + #print('morphs: ', mutators) + except Exception as e: + if isinstance(e,(CPMpyException, NotImplementedError)): + #expected error message, ignore + print('s', end='', flush=True) + return True + print('E', end='', flush=True) + + + # if you got here, the model failed... + enb += 1 + with open(join(solver + '-metamorphic' + str(iters),"lasterrormodel" + str(enb)+".pickle"), "wb") as f: + pickle.dump([model, originalmodel, mutators], file=f) + return False + + +if __name__ == '__main__': + if len(sys.argv) > 2: + solver = sys.argv[1] + hrs = float(sys.argv[2]) + iters = int(sys.argv[3]) + else: + hrs = 1 + solver = "ortools" + iters = 5 # number of metamorphic mutations per model + rseed = 0 + random.seed(rseed) + sat = True + enb = 0 + consper = 0.5 # set between 0 and 1 + if Path('cpmpy-bigtest-private').exists(): + os.chdir('cpmpy-bigtest-private') + resultfile = join(solver + '-metamorphic' + str(iters), 'result') + if not Path(solver + '-metamorphic'+ str(iters)).exists(): + os.mkdir(solver + '-metamorphic'+ str(iters)) + exclude_dict = {} + + dirname = "models" + folders = [os.path.join(dirname, 'pickle-test_constraints') ,os.path.join(dirname,'pickle_examples'),os.path.join(dirname,'pickle_test_expression'),os.path.join(dirname,'pickle_test_globals')] + folders = [os.path.join(dirname, 'pickle-test_constraints'), os.path.join(dirname,'pickle_test_expression'),os.path.join(dirname,'pickle_test_globals')] + fmodels = [] + print(folders) + for folder in folders: + fmodels.extend(glob.glob(join(folder,'sat', "*"))) + endtime = time.time() + 3600 * hrs + nb_of_models = 0 + while time.time() < endtime: + random.shuffle(fmodels) + for fmodel in fmodels: + #print('time left: ', time.time() - endtime) + if time.time() > endtime: + break + sat = metamorphic_test(solver, iters, fmodel, enb, consper, exclude_dict) + if not sat: + enb += 1 + nb_of_models += 1 + + with open(resultfile, "wb") as ff: + pickle.dump({'nb_of_models' : nb_of_models, 'hours' : hrs, 'nb_of_errors' : enb, 'solver' : solver, 'testtype' : 'metamorphic_tests', 'iters' : iters, 'randomseed' : rseed}, file=ff) # log some stats diff --git a/model_counting.py b/model_counting.py new file mode 100644 index 00000000..c28d065f --- /dev/null +++ b/model_counting.py @@ -0,0 +1,149 @@ + +import glob +import pickle +import os +from pathlib import Path +from os.path import join +import time +import sys +sys.path.append('../cpmpy') +from cpmpy.exceptions import CPMpyException +import cpmpy as cp +from mutators import * + + + +def metamorphic_test(solver, iters,f,enb,exclude_dict): + # list of mutators + mm_mutators = [xor_morph, and_morph, or_morph, implies_morph, not_morph, + linearize_constraint_morph, + flatten_morph, + only_numexpr_equality_morph, + normalized_numexpr_morph, + reify_rewrite_morph, + only_bv_reifies_morph, + only_positive_bv_morph, + flat2cnf_morph, + toplevel_list_morph, + decompose_in_tree_morph, + push_down_negation_morph, + simplify_boolean_morph, + canonical_comparison_morph, + aritmetic_comparison_morph, + semanticFusionCounting, + semanticFusionCountingMinus, + semanticFusionCountingwsum] + + originalmodel = f + with open(f, 'rb') as fpcl: + cons = pickle.loads(fpcl.read()).constraints + #if compressed: cons = pickle.loads(brotli.decompress(fpcl.read())).constraints + assert (len(cons)>0), f"{f} has no constraints" + cons = toplevel_list(cons) + assert (len(cons)>0), f"{f} has no constraints after l2conj" + sol_count = cp.Model(cons).solveAll(solver=solver,time_limit=250) + mutators = [copy.deepcopy(cons)] #keep track of list of cons alternated with mutators that transformed it into the next list of cons. + for i in range(iters): + # choose a metamorphic mutation, don't choose any from exclude_dict + if f in exclude_dict: + valid_mutators = list(set(mm_mutators) - set(exclude_dict[f])) + else: + valid_mutators = mm_mutators + m = random.choice(valid_mutators) + seed = random.random() + random.seed(seed) + mutators += [seed] + # an error can occur in the transformations, so even before the solve call. + # log function and arguments in that case + mutators += [m] + try: + cons += m(cons) # apply a metamorphic mutation + mutators += [copy.deepcopy(cons)] + except MetamorphicError as exc: + #add to exclude_dict, to avoid running into the same error + if f in exclude_dict: + exclude_dict[f] += [m] + else: + exclude_dict[f] = [m] + enb += 1 + function, argument, e = exc.args + if isinstance(e,CPMpyException): + #expected behavior if we throw a cpmpy exception, do not log + return True + filename = join(solver + '-counting' + str(iters), "internalfunctioncrash"+str(enb)+".pickle") + with open(filename, "wb") as ff: + pickle.dump([function, argument, originalmodel, e, mutators], file=ff) # log function and arguments that caused exception + print('IE', end='', flush=True) + return False # no need to solve model we didn't modify.. + # enough mutations, time for solving + try: + model = cp.Model(cons) + new_count = model.solveAll(solver=solver, time_limit=200) + if model.status().runtime > 190: + # timeout, skip + print('s', end='', flush=True) + return True + elif sol_count == new_count: + # has to be same + print('.', end='', flush=True) + return True + else: + print('X', end='', flush=True) + #print('morphs: ', mutators) + except Exception as e: + if isinstance(e,(CPMpyException, NotImplementedError)): + #expected error message, ignore + return True + print('E', end='', flush=True) + + + # if you got here, the model failed... + enb += 1 + with open(join(solver + '-counting' + str(iters), "lasterrormodel" + str(enb)+".pickle"), "wb") as f: + pickle.dump([model, originalmodel, mutators], file=f) + return False + + +if __name__ == '__main__': + if len(sys.argv) > 2: + solver = sys.argv[1] + hrs = float(sys.argv[2]) + iters = int(sys.argv[3]) + else: + hrs = 1 + solver = "z3" + iters = 5 # number of metamorphic mutations per model + rseed = 0 + random.seed(rseed) + sat = True + enb = 0 + consper = 0.5 # set between 0 and 1 + if Path('cpmpy-bigtest-private').exists(): + os.chdir('cpmpy-bigtest-private') + resultfile = join(solver + '-counting' + str(iters), 'result_counting') + if not Path(solver + '-counting' + str(iters)).exists(): + os.mkdir(solver + '-counting' + str(iters)) + exclude_dict = {} + dirname = "models" + folders = [os.path.join(dirname, 'pickle-test_constraints'), os.path.join(dirname, 'pickle_examples'), + os.path.join(dirname, 'pickle_test_expression'), os.path.join(dirname, 'pickle_test_globals')] + folders = [os.path.join(dirname, 'pickle-test_constraints'), os.path.join(dirname, 'pickle_test_expression'), + os.path.join(dirname, 'pickle_test_globals')] + fmodels = [] + for folder in folders: + fmodels.extend(glob.glob(join(folder,'sat', "*"))) + endtime = time.time() + 3600 * hrs + nb_of_models = 0 + while time.time() < endtime: + random.shuffle(fmodels) + for fmodel in fmodels: + #print("timeleft: ", endtime - time.time()) + if time.time() > endtime: + break + sat = metamorphic_test(solver, iters, fmodel, enb, exclude_dict) + if not sat: + enb += 1 + nb_of_models += 1 + + with open(resultfile, "wb") as ff: + pickle.dump({'nb_of_models' : nb_of_models, 'hours' : hrs, 'nb_of_errors' : enb, 'solver' : solver, 'testtype' : 'counting', 'iters' : iters, 'randomseed' : rseed}, file=ff) # log some stats diff --git a/model_stats.py b/model_stats.py new file mode 100644 index 00000000..15bc20fd --- /dev/null +++ b/model_stats.py @@ -0,0 +1,37 @@ +import glob +import os.path +import pickle +from os.path import join + +folder = 'pickle-test_constraints' +folder = 'pickle_examples' +folder = 'pickle_test_expression' +#folder = 'pickle_test_globals' +models = glob.glob(join('models',folder, "Pickle*")) + + +for f in models: + with open(f, 'rb') as pickl: + model = pickle.load(pickl) + print(model.solve()) + if model.objective_ is not None: + name = os.path.basename(f) + pickl.close() + os.rename(f,f[:len(f)-len(name)]+'optimization\\'+name) + print('optimization') + elif not model.solve(): + pickl.close() + name = os.path.basename(f) + os.rename(f,f[:len(f) 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f"{f} has no constraints" + # replace lists by conjunctions + cons = toplevel_list(cons) + assert (len(cons) > 0), f"{f} has no constraints after l2conj" + assert (cp.Model(cons).solve()), f"{f} is not sat" \ No newline at end of file diff --git a/mutators.py b/mutators.py new file mode 100644 index 00000000..4d265244 --- /dev/null +++ b/mutators.py @@ -0,0 +1,907 @@ +import copy +import random + +from cpmpy.transformations.negation import push_down_negation +from cpmpy.transformations.to_cnf import flat2cnf + +from cpmpy import intvar, Model +from cpmpy.expressions.core import Operator, Comparison +from cpmpy.transformations.decompose_global import decompose_in_tree +from cpmpy.transformations.get_variables import get_variables +from cpmpy.transformations.linearize import linearize_constraint, only_positive_bv, canonical_comparison +from cpmpy.expressions.utils import is_boolexpr, is_any_list +from cpmpy.transformations.flatten_model import flatten_constraint, normalized_boolexpr, normalized_numexpr, \ + flatten_objective, __is_flat_var +from cpmpy.transformations.normalize import toplevel_list, simplify_boolean +from cpmpy.transformations.reification import only_bv_reifies, reify_rewrite +from cpmpy.transformations.comparison import only_numexpr_equality +from cpmpy.expressions.globalconstraints import Xor + + +'''TRUTH TABLE BASED MORPHS''' +def not_morph(cons): + con = random.choice(cons) + ncon = ~con + return [~ncon] +def xor_morph(cons): + '''morph two constraints with XOR''' + con1, con2 = random.choices(cons,k=2) + #add a random option as per xor truth table + return [random.choice(( + Xor([con1, ~con2]), + Xor([~con1, con2]), + ~Xor([~con1, ~con2]), + ~Xor([con1, con2])))] + +def and_morph(cons): + '''morph two constraints with AND''' + con1, con2 = random.choices(cons,k=2) + return [random.choice(( + ~((con1) & (~con2)), + ~((~con1) & (~con2)), + ~((~con1) & (con2)), + ((con1) & (con2))))] + +def or_morph(cons): + '''morph two constraints with OR''' + con1, con2 = random.choices(cons,k=2) + #add all options as per xor truth table + return [random.choice(( + ((con1) | (~con2)), + ~((~con1) | (~con2)), + ((~con1) | (con2)), + ((con1) | (con2))))] + +def implies_morph(cons): + '''morph two constraints with ->''' + con1, con2 = random.choices(cons,k=2) + try: + #add all options as per xor truth table + return [random.choice(( + ~((con1).implies(~con2)), + ((~con1).implies(~con2)), + ((~con1).implies(con2)), + ((con1).implies(con2)), + ~((con2).implies(~con1)), + ((~con2).implies(~con1)), + ((~con2).implies(con1)), + ((con2).implies(con1))))] + except Exception as e: + raise MetamorphicError(implies_morph,cons,e) + +'''CPMPY-TRANSFORMATION MORPHS''' + +def canonical_comparison_morph(cons): + n = random.randint(1, len(cons)) + randcons = random.choices(cons, k=n) + try: + return canonical_comparison(cons) + except Exception as e: + raise MetamorphicError(canonical_comparison, cons, e) + +def flatten_morph(cons, flatten_all=False): + if flatten_all is False: + n = random.randint(1,len(cons)) + randcons = random.choices(cons,k=n) + else: + randcons = cons + try: + return flatten_constraint(randcons) + except Exception as e: + raise MetamorphicError(flatten_constraint,randcons, e) + + +def simplify_boolean_morph(cons): + try: + return simplify_boolean(cons) + except Exception as e: + raise MetamorphicError(simplify_boolean, cons, e) + + +def only_numexpr_equality_morph(cons,supported=frozenset()): + n = random.randint(1, len(cons)) + randcons = random.choices(cons, k=n) + flatcons = flatten_morph(randcons, flatten_all=True) # only_numexpr_equality requires flat constraints + try: + newcons = only_numexpr_equality(flatcons, supported=supported) + return newcons + except Exception as e: + raise MetamorphicError(only_numexpr_equality, flatcons, e) + + +def normalized_boolexpr_morph(cons): + '''normalized_boolexpr only gets called within other transformations, so can probably safely be omitted from our test. + Keeping it in gives unwanted results, for example crashing on flatvar input''' + randcon = random.choice(cons) + if not __is_flat_var(randcon): + try: + con, newcons = normalized_boolexpr(randcon) + return newcons + [con] + except Exception as e: + raise MetamorphicError(normalized_boolexpr, randcon, e) + else: + return cons + +def normalized_numexpr_morph(const): + try: + cons = copy.deepcopy(const) + random.shuffle(cons) + firstcon = None + for i, con in enumerate(cons): + res = pickaritmetic(con, log=[i]) + if res != []: + firstcon = random.choice(res) + break #numexpr found + if firstcon is None: + #no numexpressions found but still call the function to test on all inputs + randcon = random.choice(cons) + try: + con, newcons = normalized_numexpr(randcon) + return newcons + [con] + except Exception as e: + raise MetamorphicError(normalized_numexpr, randcon, e) + else: + #get the numexpr + arg = cons[firstcon[0]] + newfirst = arg + for i in firstcon[1:]: + arg = arg.args[i] + firstexpr = arg + try: + con, newcons = normalized_numexpr(firstexpr) + except Exception as e: + raise MetamorphicError(normalized_numexpr, firstexpr, e) + + # make the new constraint (newfirst) + arg = newfirst + c = 1 + for i in firstcon[1:]: + c += 1 + if c == len(firstcon): + if isinstance(arg.args, tuple): + listargs = list(arg.args) + listargs[i] = con + arg.args = tuple(listargs) + else: + arg.args[i] = con + else: + arg = arg.args[i] + + return [newfirst] + newcons + except Exception as e: + raise MetamorphicError(normalized_numexpr_morph, cons, e) + + +def linearize_constraint_morph(cons,linearize_all=False,supported={}): + if linearize_all: + randcons = cons + else: + n = random.randint(1, len(cons)) + randcons = random.choices(cons, k=n) + + #only apply linearize after only_bv_reifies + decomcons = decompose_in_tree_morph(randcons,decompose_all=True,supported=supported) + flatcons = only_bv_reifies_morph(decomcons, morph_all=True) + try: + return linearize_constraint(flatcons) + except Exception as e: + raise MetamorphicError(linearize_constraint, flatcons, e) + +def reify_rewrite_morph(cons): + n = random.randint(1, len(cons)) + randcons = random.choices(cons, k=n) + decomps = decompose_in_tree_morph(randcons, decompose_all=True) + flatcons = flatten_morph(decomps, flatten_all=True) + try: + return reify_rewrite(flatcons) + except Exception as e: + raise MetamorphicError(reify_rewrite, flatcons, e) + + +def push_down_negation_morph(cons): + try: + return push_down_negation(cons) + except Exception as e: + raise MetamorphicError(push_down_negation, cons, e) + + +def flatten_objective_morph(objective): + '''Only for optimization problems, pass the objective function, not constraints''' + try: + return flatten_objective(objective) + except Exception as e: + raise MetamorphicError(flatten_objective, objective, e) + +def decompose_in_tree_morph(cons,decompose_all=False,supported={}): + try: + return decompose_in_tree(cons,supported=supported) + except Exception as e: + raise MetamorphicError(decompose_in_tree, cons, e) + + +def only_bv_reifies_morph(cons,morph_all=True): + if morph_all: + randcons = cons + else: + n = random.randint(1, len(cons)) + randcons = random.choices(cons, k=n) + flatcons = flatten_morph(randcons, flatten_all=True) + try: + return only_bv_reifies(flatcons) + except Exception as e: + raise MetamorphicError(only_bv_reifies, flatcons, e) + +def only_positive_bv_morph(cons): + lincons = linearize_constraint_morph(cons,linearize_all=True,supported={}) + try: + return only_positive_bv(lincons) + except Exception as e: + raise MetamorphicError(only_positive_bv, lincons, e) + + + +def flat2cnf_morph(cons): + #flatcons = flatten_morph(cons,flatten_all=True) + onlycons = only_bv_reifies_morph(cons,morph_all=True) + try: + return flat2cnf(onlycons) + except Exception as e: + raise MetamorphicError(flat2cnf, onlycons, e) +def toplevel_list_morph(cons): + try: + return toplevel_list(cons) + except Exception as e: + raise MetamorphicError(toplevel_list, cons, e) + + +def add_solution(cons): + vars = get_variables(cons) + try: + Model(cons).solve() + except Exception as e: + raise MetamorphicError(add_solution, cons, e) + return [var == var.value() for var in vars if var.value() is not None] + +def semanticFusion(const): + try: + firstcon = None + secondcon = None + cons = copy.deepcopy(const) + random.shuffle(cons) + for i, con in enumerate(cons): + res = pickaritmetic(con,log=[i]) + if res != []: + if firstcon == None: + firstcon = random.choice(res) + elif secondcon == None: + secondcon = random.choice(res) + break #stop when 2 constraints found. still random because cons are shuffled + + if secondcon != None: + #two constraints with aritmetic expressions found, perform semantic fusion on them + #get the expressions to fuse + arg = cons[firstcon[0]] + newfirst = copy.deepcopy(arg) + count = 0 + for i in firstcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(firstcon) > count + 1: + if firstcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + firstexpr = arg + + arg = cons[secondcon[0]] + newsecond = arg + count = 0 + for i in secondcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(secondcon) > count + 1: + if secondcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + secondexpr = arg + + lb,ub = Operator('sum',[firstexpr,secondexpr]).get_bounds() + z = intvar(lb, ub) + firstexpr, secondexpr = z - secondexpr, z - firstexpr + + #make the new constraints + arg = newfirst + c = 1 + firststr = str(firstexpr) + for i in firstcon[1:]: + if str(arg) in firststr: + return [] #cyclical + c+=1 + if c == len(firstcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = firstexpr + else: + arg = arg.args[i] + + arg = newsecond + c = 1 + secondstr = str(secondexpr) + for i in secondcon[1:]: + if str(arg) in secondstr: + return [] #cyclical + c += 1 + if c == len(secondcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = secondexpr + else: + arg = arg.args[i] + + return [newfirst,newsecond] + + else: + #no expressions found to fuse + return [] + + except Exception as e: + raise MetamorphicError(semanticFusion, cons, e) + +def semanticFusionMinus(const): + try: + firstcon = None + secondcon = None + cons = copy.deepcopy(const) + random.shuffle(cons) + for i, con in enumerate(cons): + res = pickaritmetic(con,log=[i]) + if res != []: + if firstcon == None: + firstcon = random.choice(res) + elif secondcon == None: + secondcon = random.choice(res) + break #stop when 2 constraints found. still random because cons are shuffled + + if secondcon != None: + #two constraints with aritmetic expressions found, perform semantic fusion on them + #get the expressions to fuse + arg = cons[firstcon[0]] + newfirst = copy.deepcopy(arg) + count = 0 + for i in firstcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(firstcon) > count + 1: + if firstcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + firstexpr = arg + + arg = cons[secondcon[0]] + newsecond = arg + count = 0 + for i in secondcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(secondcon) > count + 1: + if secondcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + secondexpr = arg + + lb,ub = Operator('sub',[firstexpr,secondexpr]).get_bounds() + z = intvar(lb, ub) + firstexpr, secondexpr = z + secondexpr, firstexpr - z + + #make the new constraints + arg = newfirst + c = 1 + firststr = str(firstexpr) + for i in firstcon[1:]: + if str(arg) in firststr: + return [] #cyclical + c+=1 + if c == len(firstcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = firstexpr + else: + arg = arg.args[i] + + arg = newsecond + c = 1 + secondstr = str(secondexpr) + for i in secondcon[1:]: + if str(arg) in secondstr: + return [] #cyclical + c += 1 + if c == len(secondcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = secondexpr + else: + arg = arg.args[i] + + return [newfirst,newsecond] + + else: + #no expressions found to fuse + return [] + + except Exception as e: + raise MetamorphicError(semanticFusionMinus, cons, e) + +def semanticFusionwsum(const): + try: + firstcon = None + secondcon = None + cons = copy.deepcopy(const) + random.shuffle(cons) + for i, con in enumerate(cons): + res = pickaritmetic(con,log=[i]) + if res != []: + if firstcon == None: + firstcon = random.choice(res) + elif secondcon == None: + secondcon = random.choice(res) + break #stop when 2 constraints found. still random because cons are shuffled + + if secondcon != None: + #two constraints with aritmetic expressions found, perform semantic fusion on them + #get the expressions to fuse + arg = cons[firstcon[0]] + newfirst = copy.deepcopy(arg) + count = 0 + for i in firstcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(firstcon) > count + 1: + if firstcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + firstexpr = arg + + arg = cons[secondcon[0]] + #newsecond = copy.deepcopy(arg) + newsecond = (arg) + count = 0 + for i in secondcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(secondcon) > count + 1: + if secondcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + secondexpr = arg + + l = random.randint(1, 10) + n = random.randint(1, 10) + m = random.randint(1, 10) + lb, ub = Operator('wsum',[[l, m, n], [firstexpr, secondexpr, 1]]).get_bounds() + z = intvar(lb, ub) + firstexpr, secondexpr = Operator('wsum',[[1, -m, -n], [z, secondexpr, 1]]) / l, Operator('wsum',[[1, -l, -n], [z, firstexpr, 1]]) / m + #make the new constraints + arg = newfirst + c = 1 + firststr = str(firstexpr) + for i in firstcon[1:]: + if str(arg) in firststr: + return [] #cyclical + c+=1 + if c == len(firstcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = firstexpr + else: + arg = arg.args[i] + + arg = newsecond + c = 1 + secondstr = str(secondexpr) + for i in secondcon[1:]: + if str(arg) in secondstr: + return [] #cyclical + c += 1 + if c == len(secondcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = secondexpr + else: + arg = arg.args[i] + + return [newfirst, newsecond] + + else: + #no expressions found to fuse + return [] + + except Exception as e: + raise MetamorphicError(semanticFusionwsum, cons, e) +def semanticFusionCountingwsum(const): + try: + firstcon = None + secondcon = None + cons = copy.deepcopy(const) + random.shuffle(cons) + for i, con in enumerate(cons): + res = pickaritmetic(con,log=[i]) + if res != []: + if firstcon == None: + firstcon = random.choice(res) + elif secondcon == None: + secondcon = random.choice(res) + break #stop when 2 constraints found. still random because cons are shuffled + + if secondcon != None: + #two constraints with aritmetic expressions found, perform semantic fusion on them + #get the expressions to fuse + arg = cons[firstcon[0]] + newfirst = copy.deepcopy(arg) + count = 0 + for i in firstcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(firstcon) > count + 1: + if firstcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + firstexpr = arg + + arg = cons[secondcon[0]] + newsecond = arg + count = 0 + for i in secondcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(secondcon) > count + 1: + if secondcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + secondexpr = arg + + l = random.randint(1, 10) + n = random.randint(1, 10) + m = random.randint(1, 10) + lb, ub = Operator('wsum',[[l, m, n], [firstexpr, secondexpr, 1]]).get_bounds() + z = intvar(lb, ub) + thirdcon = z == Operator('wsum', [[l, m, n], [firstexpr, secondexpr, 1]]) + firstexpr, secondexpr = Operator('wsum',[[1, -m, -n], [z, secondexpr, 1]]) / l, Operator('wsum',[[1, -l, -n], [z, firstexpr, 1]]) / m + + #make the new constraints + arg = newfirst + c = 1 + firststr = str(firstexpr) + for i in firstcon[1:]: + if str(arg) in firststr: + return [] #cyclical + c+=1 + if c == len(firstcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = firstexpr + else: + arg = arg.args[i] + + arg = newsecond + c = 1 + secondstr = str(secondexpr) + for i in secondcon[1:]: + if str(arg) in secondstr: + return [] #cyclical + c += 1 + if c == len(secondcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = secondexpr + else: + arg = arg.args[i] + + return [newfirst, newsecond, thirdcon] + + else: + #no expressions found to fuse + return [] + + except Exception as e: + raise MetamorphicError(semanticFusionCountingwsum, cons, e) + + +def semanticFusionCounting(const): + try: + firstcon = None + secondcon = None + cons = copy.deepcopy(const) + random.shuffle(cons) + for i, con in enumerate(cons): + res = pickaritmetic(con,log=[i]) + if res != []: + if firstcon == None: + firstcon = random.choice(res) + elif secondcon == None: + secondcon = random.choice(res) + break #stop when 2 constraints found. still random because cons are shuffled + + if secondcon != None: + #two constraints with aritmetic expressions found, perform semantic fusion on them + #get the expressions to fuse + arg = cons[firstcon[0]] + newfirst = copy.deepcopy(arg) + count = 0 + for i in firstcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(firstcon) > count + 1: + if firstcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + firstexpr = arg + + arg = cons[secondcon[0]] + newsecond = arg + count = 0 + for i in secondcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(secondcon) > count + 1: + if secondcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + secondexpr = arg + + lb,ub = Operator('sum',[firstexpr,secondexpr]).get_bounds() + z = intvar(lb, ub) + firstexpr, secondexpr = z - secondexpr, z - firstexpr + thirdcon = z == firstexpr + secondexpr + + #make the new constraints + arg = newfirst + c = 1 + firststr = str(firstexpr) + for i in firstcon[1:]: + if str(arg) in firststr: + return [] #cyclical + c+=1 + if c == len(firstcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = firstexpr + else: + arg = arg.args[i] + + arg = newsecond + c = 1 + secondstr = str(secondexpr) + for i in secondcon[1:]: + if str(arg) in secondstr: + return [] #cyclical + c += 1 + if c == len(secondcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = secondexpr + else: + arg = arg.args[i] + + return [newfirst,newsecond, thirdcon] + + else: + #no expressions found to fuse + return [] + + except Exception as e: + raise MetamorphicError(semanticFusionCounting, cons, e) + +def semanticFusionCountingMinus(const): + try: + firstcon = None + secondcon = None + cons = copy.deepcopy(const) + random.shuffle(cons) + for i, con in enumerate(cons): + res = pickaritmetic(con,log=[i]) + if res != []: + if firstcon == None: + firstcon = random.choice(res) + elif secondcon == None: + secondcon = random.choice(res) + break #stop when 2 constraints found. still random because cons are shuffled + + if secondcon != None: + #two constraints with aritmetic expressions found, perform semantic fusion on them + #get the expressions to fuse + arg = cons[firstcon[0]] + newfirst = copy.deepcopy(arg) + count = 0 + for i in firstcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(firstcon) > count + 1: + if firstcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + firstexpr = arg + + arg = cons[secondcon[0]] + newsecond = arg + count = 0 + for i in secondcon[1:]: + count += 1 + arg = arg.args[i] + if hasattr(arg,'name'): + if arg.name in ['div', 'mod', 'pow']: + if len(secondcon) > count + 1: + if secondcon[count + 1] == 1: + return [] #we don't want to mess with the divisor of a division, since we can't divide by a domain containing 0 + secondexpr = arg + + lb,ub = Operator('sub',[firstexpr,secondexpr]).get_bounds() + z = intvar(lb, ub) + firstexpr, secondexpr = z + secondexpr, firstexpr - z + thirdcon = z == firstexpr - secondexpr + #make the new constraints + arg = newfirst + c = 1 + firststr = str(firstexpr) + for i in firstcon[1:]: + if str(arg) in firststr: + return [] #cyclical + c+=1 + if c == len(firstcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = firstexpr + else: + arg = arg.args[i] + + arg = newsecond + c = 1 + secondstr = str(secondexpr) + for i in secondcon[1:]: + if str(arg) in secondstr: + return [] #cyclical + c += 1 + if c == len(secondcon): + if isinstance(arg.args, tuple): + arg.args = list(arg.args) + arg.args[i] = secondexpr + else: + arg = arg.args[i] + + return [newfirst, newsecond, thirdcon] + + else: + #no expressions found to fuse + return [] + + except Exception as e: + raise MetamorphicError(semanticFusionCountingMinus, cons, e) + + + + +def aritmetic_comparison_morph(const): + try: + cons = copy.deepcopy(const) + random.shuffle(cons) + firstcon = None + for i, con in enumerate(cons): + res = pickaritmeticComparison(con, log=[i]) + if res != []: + firstcon = random.choice(res) + break # numexpr found + if firstcon is None: + # no arithmetic comparisons found + return [] + else: + # get the expression + arg = cons[firstcon[0]] + newfirst = arg + for i in firstcon[1:]: + arg = arg.args[i] + firstexpr = arg + try: + lhs = firstexpr.args[0] + rhs = firstexpr.args[1] + lhs1 = lhs * 7 + rhs1 = rhs * 7 + lhs2 = lhs + 7 + rhs2 = rhs + 7 + lhs3 = lhs - 7 + rhs3 = rhs - 7 + lhs, rhs = random.choice([(lhs3,rhs3),(lhs2,rhs2),(lhs1,rhs1)]) + newcon = Comparison(name=firstexpr.name,left=lhs,right=rhs) + except Exception as e: + raise MetamorphicError(aritmetic_comparison_morph, firstexpr, e) + + # make the new constraint (newfirst) + arg = newfirst + if len(firstcon) == 1: #toplevel comparison + return [newcon] + c = 1 + for i in firstcon[1:]: + c += 1 + if c == len(firstcon): + if isinstance(arg.args, tuple): + listargs = list(arg.args) + listargs[i] = newcon + arg.args = tuple(listargs) + else: + arg.args[i] = newcon + else: + arg = arg.args[i] + + return [newfirst] + except Exception as e: + raise MetamorphicError(aritmetic_comparison_morph, cons, e) + +class MetamorphicError(Exception): + pass + +''' +returns a list of aritmetic expressions (as lists of indexes to traverse the expression tree) +that occur in the input expression. +One (random) candidate is taken from each level of the expression if there exists one ''' +def pickaritmetic(con,log=[], candidates=[]): + if hasattr(con,'name'): + if con.name == 'wsum': + #wsum has lists as arguments so we need a separate case + #wsum is the lowest possible level + return candidates + [log] + if con.name == "element":# or con.name == "table" or con.name == "cumulative": + #no good way to know if element will return bool or not so ignore it + return candidates + if hasattr(con, "args"): + iargs = [(j, e) for j, e in enumerate(con.args)] + random.shuffle(iargs) + for j, arg in iargs: + if is_boolexpr(arg): + res = pickaritmetic(arg,log+[j]) + if res != []: + return res + elif is_any_list(arg): + return pickaritmetic((arg,log+[j],candidates)) + else: + return pickaritmetic(arg,log+[j],candidates+[log+[j]]) + + return candidates + +''' +Adapted pickaritmetic that only picks from arithmetic comparisons +used for mutators that i.e. multiple both sides with a number +returns a list of aritmetic expressions (as lists of indexes to traverse the expression tree) +that occur in the input expression. +One (random) candidate is taken from each level of the expression if there exists one ''' +def pickaritmeticComparison(con,log=[], candidates=[]): + if hasattr(con,'name'): + if con.name == 'wsum': + #wsum has lists as arguments so we need a separate case + #wsum is the lowest possible level + return candidates + if con.name == "element" or con.name == "table" or con.name == 'cumulative': + #no good way to know if element will return bool or not so ignore it (lists and element always return false to isbool) + return candidates + if hasattr(con, "args"): + iargs = [(j, e) for j, e in enumerate(con.args)] + random.shuffle(iargs) + for j, arg in iargs: + if is_boolexpr(arg): + res = pickaritmeticComparison(arg,log+[j], candidates) + if res != []: + return res + else: + if isinstance(con,Comparison): + return pickaritmeticComparison(arg,log+[j],candidates+[log]) + else: + return pickaritmeticComparison(arg,log+[j],candidates) + + return candidates \ No newline at end of file diff --git a/optimization_test.py b/optimization_test.py new file mode 100644 index 00000000..089376d2 --- /dev/null +++ b/optimization_test.py @@ -0,0 +1,165 @@ +import glob +import os +import pickle +import time +from os.path import join +import sys +from pathlib import Path + +sys.path.append('../cpmpy') + +import cpmpy as cp +from cpmpy.exceptions import CPMpyException + +from mutators import * + +def metamorphic_test(dirname, solver, iters,f,enb,exclude_dict): + # list of mutators + mm_mutators = [xor_morph, and_morph, or_morph, implies_morph, not_morph, + linearize_constraint_morph, + flatten_morph, + only_numexpr_equality_morph, + normalized_numexpr_morph, + reify_rewrite_morph, + only_bv_reifies_morph, + only_positive_bv_morph, + flat2cnf_morph, + toplevel_list_morph, + decompose_in_tree_morph, + push_down_negation_morph, + simplify_boolean_morph, + canonical_comparison_morph, + aritmetic_comparison_morph, + semanticFusion, + semanticFusionMinus, + semanticFusionwsum] + originalmodel = f + with open(f, 'rb') as fpcl: + model = pickle.loads(fpcl.read()) + cons = model.constraints + assert (len(cons)>0), f"{f} has no constraints" + # replace lists by conjunctions + cons = toplevel_list(cons) + objective = model.objective_ + mininimize = model.objective_is_min + model = cp.Model(cons) + mutators = [copy.deepcopy(cons)] #keep track of list of cons alternated with mutators that transformed it into the next list of cons. + if mininimize: + model.minimize(objective) + else: + model.maximize(objective) + assert (model.solve()), f"{f} is not sat" + value_before = model.objective_value() #store objective value to compare after transformations + for i in range(iters): + # choose a metamorphic mutation, don't choose any from exclude_dict + if f in exclude_dict: + valid_mutators = list(set(mm_mutators) - set(exclude_dict[f])) + else: + valid_mutators = mm_mutators + m = random.choice(valid_mutators) + seed = random.random() + random.seed(seed) + mutators += [seed] + # an error can occur in the transformations, so even before the solve call. + # log function and arguments in that case + mutators += [m] + try: + cons += m(cons) # apply a metamorphic mutation + mutators += [copy.deepcopy(cons)] + except MetamorphicError as exc: + # add to exclude_dict, to avoid running into the same error + if f in exclude_dict: + exclude_dict[f] += [m] + else: + exclude_dict[f] = [m] + enb += 1 + function, argument, e = exc.args + if isinstance(e,CPMpyException): + #expected behavior if we throw a cpmpy exception, do not log + return True + elif function == semanticFusion: + return True + #don't log semanticfusion crash + filename = join(solver + '-optimization' + str(iters),"internalfunctioncrash"+str(enb)+".pickle") + with open(filename, "wb") as ff: + pickle.dump([function, argument, originalmodel, e, mutators], file=ff) # log function and arguments that caused exception + print('IE', end='', flush=True) + print(function) + return False # no need to solve model we didn't modify.. + + + # enough mutations, time for solving + try: + newModel = cp.Model(cons) + if mininimize: + newModel.minimize(objective) + else: + newModel.maximize(objective) + sat = newModel.solve(solver=solver, time_limit=200) + if newModel.status().runtime > 190: + # timeout, skip + print('s', end='', flush=True) + return True + elif newModel.objective_value() != value_before: + #objective value changed + print('c', end='', flush=True) + elif sat: + # has to be SAT... + print('.', end='', flush=True) + return True + else: + print('X', end='', flush=True) + print('morphs: ', mutators) + except Exception as e: + print('E', end='', flush=True) + print(e) + + # if you got here, the model failed... + enb += 1 + with open(join(solver + '-optimization' + str(iters),"lasterrormodel" + str(enb)+".pickle"), "wb") as f: + pickle.dump([newModel, originalmodel, mutators], file=f) + return False + + +if __name__ == '__main__': + if len(sys.argv) > 2: + solver = sys.argv[1] + hrs = float(sys.argv[2]) + iters = int(sys.argv[3]) + else: + hrs = 1 + solver = "ortools" + iters = 5 # number of metamorphic mutations per model + rseed = 0 + random.seed(rseed) + sat = True + enb = 0 + if Path('cpmpy-bigtest-private').exists(): + os.chdir('cpmpy-bigtest-private') + resultfile = join(solver + '-optimization' + str(iters), 'result') + if not Path(solver + '-optimization' + str(iters)).exists(): + os.mkdir(solver + '-optimization' + str(iters)) + exclude_dict = {} + + dirname = "models" + folders = [os.path.join(dirname, 'pickle-test_constraints'), + os.path.join(dirname, 'pickle_test_expression'), os.path.join(dirname, 'pickle_test_globals')] + + fmodels = [] + for folder in folders: + fmodels.extend(glob.glob(join(folder,'optimization', "*"))) + endtime = time.time() + 3600 * hrs + nb_of_models = 0 + while time.time() < endtime: + random.shuffle(fmodels) + for fmodel in fmodels: + #print('time left: ', time.time() - endtime) + if time.time() > endtime: + break + sat = metamorphic_test(dirname, solver, iters, fmodel, enb, exclude_dict) + if not sat: + enb += 1 + nb_of_models += 1 + + with open(resultfile, "wb") as ff: + pickle.dump({'nb_of_models' : nb_of_models, 'hours' : hrs, 'nb_of_errors' : enb, 'solver' : solver, 'testtype' : 'optimization_tests', 'iters' : iters, 'randomseed' : rseed}, file=ff) # log some stats diff --git a/read_result.py b/read_result.py new file mode 100644 index 00000000..3feab31e --- /dev/null +++ b/read_result.py @@ -0,0 +1,11 @@ +import sys +import pickle + +sys.path.append('../cpmpy') + +filename = sys.argv[1] + +with open(filename, 'rb') as fpcl: + results = pickle.loads(fpcl.read()) + print(results) + fpcl.close() \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 00000000..ab04fea3 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,2 @@ +cpmpy +coverage \ No newline at end of file diff --git a/solution_check.py b/solution_check.py new file mode 100644 index 00000000..f4708900 --- /dev/null +++ b/solution_check.py @@ -0,0 +1,151 @@ + +import glob +import pickle +import os +from pathlib import Path +from os.path import join +import time +import sys +sys.path.append('../cpmpy') +from cpmpy.exceptions import CPMpyException +import cpmpy as cp +from mutators import * + + + +def metamorphic_test(solver, iters,f,enb,exclude_dict): + # ist of mutators. + mm_mutators = [xor_morph, and_morph, or_morph, implies_morph, not_morph, + linearize_constraint_morph, + flatten_morph, + only_numexpr_equality_morph, + normalized_numexpr_morph, + reify_rewrite_morph, + only_bv_reifies_morph, + only_positive_bv_morph, + flat2cnf_morph, + toplevel_list_morph, + decompose_in_tree_morph, + push_down_negation_morph, + simplify_boolean_morph, + canonical_comparison_morph, + aritmetic_comparison_morph, + semanticFusion, + semanticFusionMinus, + semanticFusionwsum] + + originalmodel = f + with open(f, 'rb') as fpcl: + cons = pickle.loads(fpcl.read()).constraints + #if compressed: cons = pickle.loads(brotli.decompress(fpcl.read())).constraints + assert (len(cons)>0), f"{f} has no constraints" + cons = toplevel_list(cons) + assert (len(cons)>0), f"{f} has no constraints after l2conj" + vars = get_variables(cons) + Model(cons).solve() + solution = [var == var.value() for var in vars if var.value() is not None] + mutators = [copy.deepcopy(cons)] #keep track of list of cons alternated with random seed and mutators that transformed it into the next list of cons. + for i in range(iters): + # choose a metamorphic mutation, don't choose any from exclude_dict + if f in exclude_dict: + valid_mutators = list(set(mm_mutators) - set(exclude_dict[f])) + else: + valid_mutators = mm_mutators + m = random.choice(valid_mutators) + seed = random.random() + random.seed(seed) + mutators += [seed] + # an error can occur in the transformations, so even before the solve call. + # log randomseed, function and arguments in that case + mutators += [m] + try: + cons += m(cons) # apply a metamorphic mutation + mutators += [copy.deepcopy(cons)] + except MetamorphicError as exc: + #add to exclude_dict, to avoid running into the same error + if f in exclude_dict: + exclude_dict[f] += [m] + else: + exclude_dict[f] = [m] + enb += 1 + function, argument, e = exc.args + if isinstance(e,CPMpyException): + #expected behavior if we throw a cpmpy exception, do not log + return True + filename = join(solver + '-solutioncheck' + str(iters), "internalfunctioncrash"+str(enb)+".pickle") + with open(filename, "wb") as ff: + pickle.dump([function, argument, originalmodel, e, mutators], file=ff) # log function and arguments that caused exception + print('IE', end='', flush=True) + return False # no need to solve model we didn't modify.. + # enough mutations, time for solving + try: + model = cp.Model(toplevel_list([cons, solution])) + sat = model.solve(solver=solver, time_limit=200) + if model.status().runtime > 190: + # timeout, skip + print('s', end='', flush=True) + return True + elif sat: + # has to be sat + print('.', end='', flush=True) + return True + else: + print('X', end='', flush=True) + #print('morphs: ', mutators) + except Exception as e: + if isinstance(e,(CPMpyException, NotImplementedError)): + #expected error message, ignore + return True + print('E', end='', flush=True) + + + # if you got here, the model failed... + enb += 1 + with open(join(solver + '-solutioncheck' + str(iters), "lasterrormodel" + str(enb)+".pickle"), "wb") as f: + pickle.dump([model, originalmodel, mutators], file=f) + return False + + +if __name__ == '__main__': + if len(sys.argv) > 2: + solver = sys.argv[1] + hrs = float(sys.argv[2]) + iters = int(sys.argv[3]) + else: + hrs = 1 + solver = "ortools" + iters = 5 # number of metamorphic mutations per model + rseed = 0 + random.seed(rseed) + sat = True + enb = 0 + consper = 0.5 # set between 0 and 1 + if Path('cpmpy-bigtest-private').exists(): + os.chdir('cpmpy-bigtest-private') + resultfile = join(solver + '-solutioncheck' + str(iters), 'result_solutioncheck') + if not Path(solver + '-solutioncheck' + str(iters)).exists(): + os.mkdir(solver + '-solutioncheck' + str(iters)) + exclude_dict = {} + dirname = "models" + folders = [os.path.join(dirname, 'pickle-test_constraints'), os.path.join(dirname, 'pickle_examples'), + os.path.join(dirname, 'pickle_test_expression'), os.path.join(dirname, 'pickle_test_globals')] + folders = [os.path.join(dirname, 'pickle-test_constraints'), os.path.join(dirname, 'pickle_test_expression'), + os.path.join(dirname, 'pickle_test_globals')] + fmodels = [] + for folder in folders: + fmodels.extend(glob.glob(join(folder,'sat', "*"))) + endtime = time.time() + 3600 * hrs + nb_of_models = 0 + while time.time() < endtime: + random.shuffle(fmodels) + for fmodel in fmodels: + #print("timeleft: ", endtime - time.time()) + if time.time() > endtime: + break + sat = metamorphic_test(solver, iters, fmodel, enb, exclude_dict) + if not sat: + enb += 1 + nb_of_models += 1 + + with open(resultfile, "wb") as ff: + pickle.dump({'nb_of_models' : nb_of_models, 'hours' : hrs, 'nb_of_errors' : enb, 'solver' : solver, 'testtype' : 'solutioncheck', 'iters' : iters, 'randomseed' : rseed}, file=ff) # log some stats diff --git a/tests/test_exact.py b/tests/test_exact.py new file mode 100644 index 00000000..b1e70160 --- /dev/null +++ b/tests/test_exact.py @@ -0,0 +1,36 @@ +""" +Tests all models in the `models/` folder, which are known to be SAT + +Will only run solver tests on solvers that are installed +""" +from glob import glob +from os.path import join +import pytest +import pickle +import brotli # install it +from cpmpy import * +from cpmpy.transformations.flatten_model import flatten_model +from cpmpy.exceptions import NotSupportedError + + +MODELS = sorted(glob(join("models", "*.bt"))) # TODO .pcl.bt + +@pytest.mark.parametrize("fmodel", MODELS) +def test_model(fmodel, solver="exact"): + """Loads model file and executes (with given solver) + + Args: + fmodel ([string]): filename of picled brotli compressed file + solver (string): None=use default, otherwise the named solver + """ + with open(fmodel, 'rb') as fpcl: + model = pickle.loads(brotli.decompress(fpcl.read())) + try: + sat = model.solve(solver=solver, time_limit=120) + + if model.status().runtime > 110: + pytest.skip(f"Timeout of {fmodel}: {model.status()}") + + assert (sat), f"Model {fmodel} should be SAT" + except (NotImplementedError,NotSupportedError): + pytest.skip(f"{fmodel}: Not Implemented/Supported") diff --git a/tests/test_gurobi.py b/tests/test_gurobi.py new file mode 100644 index 00000000..c9a5a7c6 --- /dev/null +++ b/tests/test_gurobi.py @@ -0,0 +1,37 @@ +""" +Tests all models in the `models/` folder, which are known to be SAT + +Will only run solver tests on solvers that are installed +""" +from glob import glob +from os.path import join +import pytest +import pickle +import brotli # install it +from cpmpy import * +from cpmpy.transformations.flatten_model import flatten_model +from cpmpy.exceptions import NotSupportedError + + +MODELS = sorted(glob(join("models", "*.bt"))) # TODO .pcl.bt + +# is there a way to share stuff with test_ortools? +@pytest.mark.parametrize("fmodel", MODELS) +def test_model(fmodel, solver="gurobi"): + """Loads model file and executes (with given solver) + + Args: + fmodel ([string]): filename of picled brotli compressed file + solver (string): None=use default, otherwise the named solver + """ + with open(fmodel, 'rb') as fpcl: + model = pickle.loads(brotli.decompress(fpcl.read())) + try: + sat = model.solve(solver=solver, time_limit=120) + + if model.status().runtime > 110: + pytest.skip(f"Timeout of {fmodel}: {model.status()}") + + assert (sat), f"Model {fmodel} should be SAT" + except (NotImplementedError,NotSupportedError): + pytest.skip(f"{fmodel}: Not Implemented/Supported") diff --git a/tests/test_ortools.py b/tests/test_ortools.py new file mode 100644 index 00000000..1b6980d9 --- /dev/null +++ b/tests/test_ortools.py @@ -0,0 +1,36 @@ +""" +Tests all models in the `models/` folder, which are known to be SAT + +Will only run solver tests on solvers that are installed +""" +from glob import glob +from os.path import join +import pytest +import pickle +import brotli # install it +from cpmpy import * +from cpmpy.transformations.flatten_model import flatten_model +from cpmpy.exceptions import NotSupportedError + + +MODELS = sorted(glob(join("models", "*.bt"))) # TODO .pcl.bt + +@pytest.mark.parametrize("fmodel", MODELS) +def test_model(fmodel, solver="ortools"): + """Loads model file and executes (with given solver) + + Args: + fmodel ([string]): filename of picled brotli compressed file + solver (string): None=use default, otherwise the named solver + """ + with open(fmodel, 'rb') as fpcl: + model = pickle.loads(brotli.decompress(fpcl.read())) + try: + sat = model.solve(solver=solver, time_limit=120) + + if model.status().runtime > 110: + pytest.skip(f"Timeout of {fmodel}: {model.status()}") + + assert (sat), f"Model {fmodel} should be SAT" + except (NotImplementedError,NotSupportedError): + pytest.skip(f"{fmodel}: Not Implemented/Supported") diff --git a/tests/test_pysat.py b/tests/test_pysat.py new file mode 100644 index 00000000..45957821 --- /dev/null +++ b/tests/test_pysat.py @@ -0,0 +1,37 @@ +""" +Tests all models in the `models/` folder, which are known to be SAT + +Will only run solver tests on solvers that are installed +""" +from glob import glob +from os.path import join +import pytest +import pickle +import brotli # install it +from cpmpy import * +from cpmpy.transformations.flatten_model import flatten_model +from cpmpy.exceptions import NotSupportedError + + +MODELS = sorted(glob(join("models", "*.bt"))) # TODO .pcl.bt + +# is there a way to share stuff with test_ortools? +@pytest.mark.parametrize("fmodel", MODELS) +def test_model(fmodel, solver="pysat"): + """Loads model file and executes (with given solver) + + Args: + fmodel ([string]): filename of picled brotli compressed file + solver (string): None=use default, otherwise the named solver + """ + with open(fmodel, 'rb') as fpcl: + model = pickle.loads(brotli.decompress(fpcl.read())) + try: + sat = model.solve(solver=solver, time_limit=120) + + if model.status().runtime > 110: + pytest.skip(f"Timeout of {fmodel}: {model.status()}") + + assert (sat), f"Model {fmodel} should be SAT" + except (NotImplementedError,NotSupportedError): + pytest.skip(f"{fmodel}: Not Implemented/Supported") diff --git a/tests/test_pysdd.py b/tests/test_pysdd.py new file mode 100644 index 00000000..d0a24d1f --- /dev/null +++ b/tests/test_pysdd.py @@ -0,0 +1,37 @@ +""" +Tests all models in the `models/` folder, which are known to be SAT + +Will only run solver tests on solvers that are installed +""" +from glob import glob +from os.path import join +import pytest +import pickle +import brotli # install it +from cpmpy import * +from cpmpy.transformations.flatten_model import flatten_model +from cpmpy.exceptions import NotSupportedError + + +MODELS = sorted(glob(join("models", "*.bt"))) # TODO .pcl.bt + +# is there a way to share stuff with test_ortools? +@pytest.mark.parametrize("fmodel", MODELS) +def test_model(fmodel, solver="pysdd"): + """Loads model file and executes (with given solver) + + Args: + fmodel ([string]): filename of picled brotli compressed file + solver (string): None=use default, otherwise the named solver + """ + with open(fmodel, 'rb') as fpcl: + model = pickle.loads(brotli.decompress(fpcl.read())) + try: + sat = model.solve(solver=solver, time_limit=120) + + if model.status().runtime > 110: + pytest.skip(f"Timeout of {fmodel}: {model.status()}") + + assert (sat), f"Model {fmodel} should be SAT" + except (NotImplementedError,NotSupportedError): + pytest.skip(f"{fmodel}: Not Implemented/Supported") diff --git a/tests/test_solvers.py b/tests/test_solvers.py new file mode 100644 index 00000000..64bbd5fb --- /dev/null +++ b/tests/test_solvers.py @@ -0,0 +1,38 @@ +""" +Tests all models in the `models/` folder, which are known to be SAT + +Will only run solver tests on solvers that are installed +""" +from glob import glob +from os.path import join +import pytest +import pickle +import brotli # install it +from cpmpy import * +from cpmpy.transformations.flatten_model import flatten_model +from cpmpy.exceptions import NotSupportedError + + +MODELS = sorted(glob(join("..//models//sat", "*.bt"))) +SOLVERS = ['choco'] + +@pytest.mark.parametrize("fmodel", MODELS) +@pytest.mark.parametrize("solver", SOLVERS) +def test_model(fmodel, solver): + """Loads model file and executes (with given solver) + + Args: + fmodel ([string]): filename of picled brotli compressed file + solver (string): None=use default, otherwise the named solver + """ + with open(fmodel, 'rb') as fpcl: + model = pickle.loads(brotli.decompress(fpcl.read())) + try: + sat = model.solve(solver=solver, time_limit=10) + + if model.status().runtime > 9: + pytest.skip(f"Timeout of {fmodel}: {model.status()}") + + assert (sat), f"Model {fmodel} should be SAT" + except (NotImplementedError,NotSupportedError): + pytest.skip(f"{fmodel}: Not Implemented/Supported") diff --git a/tests/test_z3.py b/tests/test_z3.py new file mode 100644 index 00000000..20145191 --- /dev/null +++ b/tests/test_z3.py @@ -0,0 +1,37 @@ +""" +Tests all models in the `models/` folder, which are known to be SAT + +Will only run solver tests on solvers that are installed +""" +from glob import glob +from os.path import join +import pytest +import pickle +import brotli # install it +from cpmpy import * +from cpmpy.transformations.flatten_model import flatten_model +from cpmpy.exceptions import NotSupportedError + + +MODELS = sorted(glob(join("models", "*.bt"))) # TODO .pcl.bt + +# is there a way to share stuff with test_ortools? +@pytest.mark.parametrize("fmodel", MODELS) +def test_model(fmodel, solver="z3"): + """Loads model file and executes (with given solver) + + Args: + fmodel ([string]): filename of picled brotli compressed file + solver (string): None=use default, otherwise the named solver + """ + with open(fmodel, 'rb') as fpcl: + model = pickle.loads(brotli.decompress(fpcl.read())) + try: + sat = model.solve(solver=solver, time_limit=120) + + if model.status().runtime > 110: + pytest.skip(f"Timeout of {fmodel}: {model.status()}") + + assert (sat), f"Model {fmodel} should be SAT" + except (NotImplementedError,NotSupportedError): + pytest.skip(f"{fmodel}: Not Implemented/Supported") diff --git a/tests/time_benchmarks.py b/tests/time_benchmarks.py new file mode 100644 index 00000000..aabd98d3 --- /dev/null +++ b/tests/time_benchmarks.py @@ -0,0 +1,49 @@ +""" +Tests all models in the `models/` folder, which are known to be SAT + +Will only run solver tests on solvers that are installed +""" +import sys +sys.path.append('../cpmpy') +from glob import glob +from os.path import join +import pickle +import timeit +import os +from pathlib import Path + +path = os.path.join('cpmpy-bigtest-private','models','sat') +print(path) +MODELS = sorted(glob(join(path, "*.bt"))) +print(MODELS) +solver = 'ortools' +decomps = [] +solvetimes = {} + +def open_model(model): + import brotli + import pickle + with open(model, 'rb') as fpcl: + return pickle.loads(brotli.decompress(fpcl.read())) + +for i in range(3): + for fmodel in MODELS: + decomps = [] + model = open_model(fmodel) + decomps += [model] + print(fmodel) + setup = "from __main__ import decomps, solver; from cpmpy import SolverLookup; model = decomps[0]; s = SolverLookup.get('ortools',model)" + stmt = "s.solve(num_search_workers=1)".format(fmodel) + #stmt = "model.solve(solver)".format(fmodel) + time = timeit.timeit(setup=setup,stmt=stmt, number=1) + if i == 0: + solvetimes[fmodel] = time + else: + solvetimes[fmodel] += time + print(time) + +filename = join('timings', "standard.pickle") +if not Path('timings').exists(): + os.mkdir('timings') +with open(filename, "wb") as ff: + pickle.dump(solvetimes, file=ff) #log timings \ No newline at end of file diff --git a/time_models.py b/time_models.py new file mode 100644 index 00000000..6f382f6b --- /dev/null +++ b/time_models.py @@ -0,0 +1,77 @@ +import brotli +import glob +import os +import pickle +import time +from os.path import join + +from cpmpy import * +from cpmpy.transformations.flatten_model import flatten_constraint +from cpmpy.transformations.reification import only_bv_implies, reify_rewrite +from cpmpy.transformations.comparison import only_numexpr_equality + + +def print_model_stats(dirname): + times = dict([('pickle', 0.0), + ('flatten', 0.0), + ('reify', 0.0), + ('numexpr', 0.0), + ('bv_implies', 0.0), + ('model', 0.0), + ('solve', 0.0), + ('solver', 0.0), + ]) + slowest = ("X", 0.0) + for f in sorted(glob.glob(join(dirname, "17b*.bt")))[0:10]: + try: + with open(f, 'rb') as fpcl: + print('.', end='', flush=True) + t0 = time.time() + model = pickle.loads(brotli.decompress(fpcl.read())) + cpm_cons = model.constraints + times['pickle'] += time.time() - t0 + + t0 = time.time() + cpm_cons = flatten_constraint(cpm_cons) + times['flatten'] += time.time() - t0 + + t0 = time.time() + cpm_cons = reify_rewrite(cpm_cons, supported=frozenset(['sum', 'wsum'])) + times['reify'] += time.time() - t0 + + t0 = time.time() + cpm_cons = only_numexpr_equality(cpm_cons, supported=frozenset(['sum', 'wsum'])) + times['numexpr'] += time.time() - t0 + + t0 = time.time() + cpm_cons = only_bv_implies(cpm_cons) + times['bv_implies'] += time.time() - t0 + v = time.time() - t0 + if v > slowest[1]: + slowest = (f, v) + + s = SolverLookup.get("ortools") + t0 = time.time() + s += cpm_cons + times['model'] += time.time() - t0 + + t0 = time.time() + sat = s.solve(time_limit=120, num_workers=1) + times['solve'] += time.time() - t0 + times['solver'] += s.status().runtime + + if not sat: + print(f"\tWARNING, {f} was unsat") + #print([f"{k}: {v:.2f}" for (k,v) in times.items()]) + except Exception as e: + print(f, "CRASHES", e) + + print("") # after all the .'s + for (k,v) in times.items(): + print(f"{k}: {v:.2f}") + print("Slowest", slowest) + + +if __name__ == '__main__': + dirname = "models" + print_model_stats(dirname)