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feat: compare move chosen with the blunder move
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parent
6fd285d5d1
commit
c1691c15f7
@ -2,9 +2,12 @@ import os
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import sys
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import chess
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import pytest
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import re
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# Ensure repo root is importable when running pytest directly
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REPO_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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# Go up to the workspace root (tests -> lichess_bot -> PYTHON -> repo root)
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REPO_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
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if REPO_ROOT not in sys.path:
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sys.path.insert(0, REPO_ROOT)
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@ -12,185 +15,282 @@ from PYTHON.lichess_bot.engine import RandomEngine # noqa: E402
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# Consolidated blunder cases from all per-game test files
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BLUNDER_CASES = [
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("r2q1rk1/pp2ppbp/2np2p1/2p3P1/2P5/5b1P/P4P2/R1B1KB1R w KQ - 1 15", "e1d2", "ply29_W_e1d2"),
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("r2q1rk1/pp2ppbp/2np2p1/2p3P1/2P5/7P/P2K1P2/R1B2B1b w - - 0 16", "f2f3", "ply31_W_f2f3"),
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("r2q1rk1/pp2ppbp/2np2p1/2p3P1/2P5/4Kb1P/P7/R1B2B2 b - - 1 17", "c6d4", "ply34_B_c6d4"),
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("r2q1rk1/pp2ppbp/3p2p1/2p3P1/2Pn4/4Kb1P/P7/R1B2B2 w - - 2 18", "e3d3", "ply35_W_e3d3"),
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("r2q1rk1/pp3pbp/3p2p1/2p1p1P1/2Pn4/3K1b1P/P7/R1B2B2 w - - 0 19", "d3e3", "ply37_W_d3e3"),
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("r2q1rk1/pp3pbp/3p2p1/2p3P1/2Pnp3/4Kb1P/P7/R1B2B2 w - - 0 20", "e3f4", "ply39_W_e3f4"),
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("r4rk1/pp3p1p/3p2p1/2p1b1q1/2Pn4/4pb1P/P7/R1B1KB2 b - - 1 23", "e5g3", "ply46_B_e5g3"),
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("r1bqk2r/ppp2ppp/2np1n2/2b1p3/2BPP3/2P2N2/PP3PPP/RNBQ1RK1 b kq - 0 6", "h7h5", "ply12_B_h7h5"),
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# from test_blunders_4QOgOQhi.py
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("r4qk1/p1p4p/np4p1/3p1p2/3P4/3K1N2/PP3nPP/RN5R w - - 2 18", "d3c3", "ply35_W_d3c3"),
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("r4qk1/p1p4p/np4p1/3p1p2/3P4/2K2N2/PP3nPP/RN5R b - - 3 18", "f2h1", "ply36_B_f2h1"),
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("r4qk1/p1p4p/1p4p1/3p1p2/1n1P4/3K1N2/PP4PP/RN5n w - - 2 20", "d3e3", "ply39_W_d3e3"),
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("r5k1/p1p1q2p/1p4p1/3p1p2/1n1P4/4KN2/PP4PP/RN5n w - - 4 21", "e3f4", "ply41_W_e3f4"),
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("r5k1/p1p1q2p/1p4p1/3p1p2/1n1P1K2/5N2/PP4PP/RN5n b - - 5 21", "e7e4", "ply42_B_e7e4"),
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("r5k1/p1p4p/1p4p1/3p1pK1/1n1P2q1/5N2/PP4PP/RN5n w - - 8 23", "g5h6", "ply45_W_g5h6"),
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("r5k1/p1p4p/1p4pK/3p1p2/1n1P2q1/5N2/PP4PP/RN5n b - - 9 23", "g4h5", "ply46_B_g4h5"),
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("r2q1rk1/pp2ppbp/2np2p1/2p3P1/2P5/5b1P/P4P2/R1B1KB1R w KQ - 1 15", "e1d2", "ply29_W_e1d2_best_c1d2"),
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("r2q1rk1/pp2ppbp/2np2p1/2p3P1/2P5/7P/P2K1P2/R1B2B1b w - - 0 16", "f2f3", "ply31_W_f2f3_best_d2e1"),
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("r2q1rk1/pp2ppbp/2np2p1/2p3P1/2P5/4Kb1P/P7/R1B2B2 b - - 1 17", "c6d4", "ply34_B_c6d4_best_d8a5"),
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("r2q1rk1/pp2ppbp/3p2p1/2p3P1/2Pn4/4Kb1P/P7/R1B2B2 w - - 2 18", "e3d3", "ply35_W_e3d3_best_c1b2"),
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("r2q1rk1/pp3pbp/3p2p1/2p1p1P1/2Pn4/3K1b1P/P7/R1B2B2 w - - 0 19", "d3e3", "ply37_W_d3e3_best_h3h4"),
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("r2q1rk1/pp3pbp/3p2p1/2p3P1/2Pnp3/4Kb1P/P7/R1B2B2 w - - 0 20", "e3f4", "ply39_W_e3f4_best_e3f2"),
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("r4rk1/pp3p1p/3p2p1/2p1b1q1/2Pn4/4pb1P/P7/R1B1KB2 b - - 1 23", "e5g3", "ply46_B_e5g3_best_g5g3"),
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("r4qk1/p1p4p/np4p1/3p1p2/3P4/3K1N2/PP3nPP/RN5R w - - 2 18", "d3c3", "ply35_W_d3c3_best_d3e2"),
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("r4qk1/p1p4p/np4p1/3p1p2/3P4/2K2N2/PP3nPP/RN5R b - - 3 18", "f2h1", "ply36_B_f2h1_best_f8b4"),
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("r4qk1/p1p4p/1p4p1/3p1p2/1n1P4/3K1N2/PP4PP/RN5n w - - 2 20", "d3e3", "ply39_W_d3e3_best_d3c3"),
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("r5k1/p1p1q2p/1p4p1/3p1p2/1n1P4/4KN2/PP4PP/RN5n w - - 4 21", "e3f4", "ply41_W_e3f4_best_f3e5"),
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("r5k1/p1p1q2p/1p4p1/3p1p2/1n1P1K2/5N2/PP4PP/RN5n b - - 5 21", "e7e4", "ply42_B_e7e4_best_b4d3"),
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("r5k1/p1p4p/1p4p1/3p1pK1/1n1P2q1/5N2/PP4PP/RN5n w - - 8 23", "g5h6", "ply45_W_g5h6_best_g5f6"),
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("r5k1/p1p4p/1p4pK/3p1p2/1n1P2q1/5N2/PP4PP/RN5n b - - 9 23", "g4h5", "ply46_B_g4h5_best_g4h5"),
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("r1bqk2r/ppp2ppp/2np1n2/2b1p3/2BPP3/2P2N2/PP3PPP/RNBQ1RK1 b kq - 0 6", "h7h5", "ply12_B_h7h5_best_c5b6"),
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("r1br3k/5B2/2n2n2/pp2p1Bp/4P3/1QP2N2/PP3PPP/RN3RK1 b - - 0 13", "h5h4", "ply26_B_h5h4_best_d8d6"),
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("r1br4/5B1k/2n2B2/pp2p3/4P2p/1QP2N2/PP3PPP/RN3RK1 w - - 1 15", "f6d8", "ply29_W_f6d8_best_f7g8"),
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("r1bB4/5B1k/2n5/pp2p3/4P2p/1QP2N2/PP3PPP/RN3RK1 b - - 0 15", "b5b4", "ply30_B_b5b4_best_a8a7"),
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("r1bB4/5B1k/2n5/p3p3/1p2P2p/1QP2N2/PP3PPP/RN3RK1 w - - 0 16", "f7d5", "ply31_W_f7d5_best_f7g8"),
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("r1bB4/7k/2n5/p2Bp3/1p2P2p/1QP2N2/PP3PPP/RN3RK1 b - - 1 16", "b4c3", "ply32_B_b4c3_best_c6d8"),
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("r1bB4/7k/2B5/p3p3/4P2p/1Qp2N2/PP3PPP/RN3RK1 b - - 0 17", "c3c2", "ply34_B_c3c2_best_a8a7"),
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("B1bB4/7k/8/p3p3/4P2p/1Q3N2/PPp2PPP/RN3RK1 b - - 0 18", "c2b1q", "ply36_B_c2b1q_best_h7g7"),
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("B1bB4/7k/8/p3p3/4P2p/1Q3N2/PP3PPP/1R3RK1 b - - 0 19", "a5a4", "ply38_B_a5a4_best_h7g7"),
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("B1bB4/5Q2/7k/4p3/p3P2p/5N2/PP3PPP/1R3RK1 w - - 2 21", "d8g5", "ply41_W_d8g5_best_d8g5"),
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("r2q1rk1/ppp1pp1p/6p1/2Pp3P/PP1nnPb1/8/8/RNB1KB1R w KQ - 0 13", "h5g6", "ply25_W_h5g6_best_a1a2"),
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("r2q1rk1/ppp1pp1p/6P1/2Pp4/PP1nnPb1/8/8/RNB1KB1R b KQ - 0 13", "f7g6", "ply26_B_f7g6_best_d4c2"),
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("r2q1rk1/ppp1p2p/6p1/2Pp4/PP1nnPb1/8/8/RNB1KB1R w KQ - 0 14", "c5c6", "ply27_W_c5c6_best_b1a3"),
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("r2q1rk1/ppp1p2p/2P3p1/3p4/PP1nnPb1/8/8/RNB1KB1R b KQ - 0 14", "g4f3", "ply28_B_g4f3_best_d4c2"),
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("r2q1rk1/ppp1p2p/2P3p1/3p4/PP1nnP2/5b2/8/RNB1KB1R w KQ - 1 15", "c6b7", "ply29_W_c6b7_best_a1a2"),
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("r2q1rk1/pPp1p2p/6p1/3p4/PP1nnP2/5b2/8/RNB1KB1R b KQ - 0 15", "a8b8", "ply30_B_a8b8_best_d4c2"),
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("1r1q1rk1/pPp1p2p/6p1/3p4/PP1nnP2/5b2/8/RNB1KB1R w KQ - 1 16", "f4f5", "ply31_W_f4f5_best_f1g2"),
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("1r1q1rk1/pPp1p2p/6p1/3p1P2/PP1nn3/5b2/8/RNB1KB1R b KQ - 0 16", "f3h1", "ply32_B_f3h1_best_d4c2"),
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("1r1q1rk1/pPp1p2p/6p1/3p1P2/PP1nn3/8/8/RNB1KB1b w Q - 0 17", "f5g6", "ply33_W_f5g6_best_c1f4"),
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("1r1q1rk1/pPp1p3/6p1/3p4/PP1nn3/8/8/RNB1KB1b w Q - 0 18", "b4b5", "ply35_W_b4b5_best_c1f4"),
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("1r1q1rk1/pPp1p3/6p1/1P1p4/P3n3/5n2/8/RNB1KB1b w Q - 1 19", "e1e2", "ply37_W_e1e2_best_e1d1"),
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("1r1q1rk1/pPp1p3/6p1/1P1p4/P3n3/5n2/4K3/RNB2B1b b - - 2 19", "e4g3", "ply38_B_e4g3_best_f3d4"),
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("1r1q1rk1/pPp1p3/6p1/1P1p4/P7/5nn1/4K3/RNB2B1b w - - 3 20", "e2e3", "ply39_W_e2e3_best_e2d1"),
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("1r1q1rk1/pPp1p3/6p1/1P1p4/P7/3K4/8/RNB1nn1b w - - 2 22", "d3d4", "ply43_W_d3d4_best_d3c3"),
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("1r1q2k1/pPp1p3/6p1/1P1p4/P2K1r2/8/8/RNB1nn1b w - - 4 23", "d4e5", "ply45_W_d4e5_best_d4c3"),
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("1r1q2k1/pPp1p3/6p1/1P1pK3/P4r2/8/8/RNB1nn1b b - - 5 23", "d8d6", "ply46_B_d8d6_best_f4e4"),
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("rnbqkb1r/pppppppp/8/4P3/5n2/2NP4/PPP2PPP/R1BQKBNR b KQkq - 0 4", "g7g6", "ply8_B_g7g6_best_f4g6"),
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("rnbqkb1r/pppppp1p/6p1/4P3/5n2/2NP4/PPP2PPP/R1BQKBNR w KQkq - 0 5", "g1f3", "ply9_W_g1f3_best_c1f4"),
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("rnbqkb1r/pppppp1p/6p1/4P3/5n2/2NP1N2/PPP2PPP/R1BQKB1R b KQkq - 1 5", "f8g7", "ply10_B_f8g7_best_f4e6"),
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("rnbq1rk1/3p1pbp/p1p3p1/3pP3/Pp3BPP/2N2N2/1PP2P2/R2QKB1R w KQ - 0 13", "b2b3", "ply25_W_b2b3_best_c3e2"),
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("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1b6/8/bNB1KB1n b - - 0 18", "a1c3", "ply36_B_a1c3_best_e7f6"),
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("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1bb5/8/1NB1KB1n w - - 1 19", "b1d2", "ply37_W_b1d2_best_b1c3"),
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("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1bb5/3N4/2B1KB1n b - - 2 19", "c3d2", "ply38_B_c3d2_best_e7f6"),
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("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1b6/3b4/2B1KB1n w - - 0 20", "c1d2", "ply39_W_c1d2_best_e1d2"),
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("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1b6/3B4/4KB1n b - - 0 20", "h1g3", "ply40_B_h1g3_best_e7f6"),
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("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1b4n1/3B4/4KB2 w - - 1 21", "f6e7", "ply41_W_f6e7_best_f1d3"),
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("1r3r2/pPp1qp1k/8/3p4/P7/1b4n1/3B4/4KB2 w - - 0 22", "f1e2", "ply43_W_f1e2_best_e1f2"),
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("1r3r2/pPp1qp1k/8/3p4/P7/1b4n1/3BB3/4K3 b - - 1 22", "e7e3", "ply44_B_e7e3_best_e7e2"),
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("1r3r2/pPp2p1k/8/3p4/P7/1b2q1n1/3BB3/4K3 w - - 2 23", "a4a5", "ply45_W_a4a5_best_d2e3"),
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("1r3r2/pPp2p1k/8/P2p4/8/1b2q1n1/3BB3/4K3 b - - 0 23", "e3e2", "ply46_B_e3e2_best_e3e2"),
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("r1bqk2r/ppp2ppp/2np1n2/2b1p3/2BPP3/2P2N2/PP3PPP/RNBQ1RK1 b kq - 0 6", "d6d5", "ply12_B_d6d5_best_c5b6"),
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("r1bqk2r/ppp2ppp/2n2n2/2bpp3/2BPP3/2P2N2/PP3PPP/RNBQ1RK1 w kq - 0 7", "d4c5", "ply13_W_d4c5_best_e4d5"),
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("r1bqk2r/ppp2ppp/2n2n2/2Ppp3/2B1P3/2P2N2/PP3PPP/RNBQ1RK1 b kq - 0 7", "d5e4", "ply14_B_d5e4_best_d5c4"),
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("r1bB2kr/2p2p2/p1B5/2P3pp/1Pp1p3/4P3/P2N2PP/RN1Q1RK1 b - - 0 17", "g8h7", "ply34_B_g8h7_best_c8g4"),
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("B1bB3r/2p2p1k/p7/2P3pp/1Pp1p3/4P3/P2N2PP/RN1Q1RK1 b - - 0 18", "h7g7", "ply36_B_h7g7_best_h7g6"),
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("B1b4r/2p2pk1/p4B2/2P3pp/1Pp1p3/4P3/P2N2PP/RN1Q1RK1 b - - 2 19", "g7g8", "ply38_B_g7g8_best_g7h6"),
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("B1b3kB/2p2p2/p7/2P3pp/1Pp1p3/4P3/P2N2PP/RN1Q1RK1 b - - 0 20", "g8f8", "ply40_B_g8f8_best_c8g4"),
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("B1b2k1B/2p2p2/p7/2P3pQ/1Pp1p3/4P3/P2N2PP/RN3RK1 b - - 0 21", "f8e8", "ply42_B_f8e8_best_f7f6"),
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("B1b1k2B/2p2R2/p7/2P3pQ/1Pp1p3/4P3/P2N2PP/RN4K1 b - - 0 22", "c7c6", "ply44_B_c7c6_best_c8d7"),
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("5k1B/3R4/p1B5/2P3pQ/1Pp1p3/4P3/P2N2PP/RN4K1 w - - 1 25", "d7d8", "ply49_W_d7d8_best_h5f7"),
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("3R3B/4k3/p1B5/2P3pQ/1Pp1p3/4P3/P2N2PP/RN4K1 w - - 3 26", "h5e8", "ply51_W_h5e8_best_h5e8"),
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("r1bqk2r/ppp2ppp/2np1n2/2b1p3/2BPP3/2P2N2/PP3PPP/RNBQ1RK1 b kq - 0 6", "e8g8", "ply12_B_e8g8_best_c5b6"),
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("r1bq1r1k/ppP2ppp/2n2n2/4p1B1/2B1P3/1NP2N2/PP3PPP/R2Q1RK1 b - - 0 12", "h8g8", "ply24_B_h8g8_best_d8c7"),
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("r1bR2k1/pp3ppp/2n2n2/4p1B1/2B1P3/1NP2N2/PPQ2PPP/5RK1 b - - 0 16", "f6e8", "ply32_B_f6e8_best_c6d8"),
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("r1bRn1k1/pp3ppp/2n5/4p1B1/2B1P3/1NP2N2/PPQ2PPP/5RK1 w - - 1 17", "d8e8", "ply33_W_d8e8_best_d8e8"),
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("r4r2/p2p3k/n2Np1p1/q1p5/P5Q1/8/3NKP2/8 b - - 2 24", "a5c7", "ply48_B_a5c7_best_f8f2"),
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("r4N2/p6k/n5pq/P1pp4/6Q1/5N2/4KP2/8 b - - 0 30", "h6f8", "ply60_B_h6f8_best_a8f8"),
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("r4q2/p6k/n5p1/P1pp4/6Q1/5N2/4KP2/8 w - - 0 31", "g4h3", "ply61_W_g4h3_best_f3g5"),
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("r4qk1/p2Q4/n5p1/P1pp4/8/5N2/4KP2/8 w - - 4 33", "e2e3", "ply65_W_e2e3_best_d7d5"),
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("4rqk1/p2Q4/n5p1/P1pp4/8/4KN2/5P2/8 w - - 6 34", "e3d2", "ply67_W_e3d2_best_d7e8"),
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("4rqk1/p2Q4/n5p1/P1pp4/8/5N2/3K1P2/8 b - - 7 34", "d5d4", "ply68_B_d5d4_best_f8f4"),
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("4rqk1/p2Q4/n5p1/P1p5/3p4/5N2/3K1P2/8 w - - 0 35", "d7a7", "ply69_W_d7a7_best_d2c1"),
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("4r1k1/Q7/n5p1/P1p5/3p4/5q2/3K1P2/8 w - - 0 36", "d2c2", "ply71_W_d2c2_best_a7a8"),
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("6k1/Q7/n5p1/P1p5/3p4/8/4rq2/3K4 w - - 0 38", "d1c1", "ply75_W_d1c1_best_a7a8"),
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("6k1/Q7/n5p1/P1p5/3p4/8/4rq2/2K5 b - - 1 38", "f2e1", "ply76_B_f2e1_best_e2e1"),
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("r1bqk2r/ppp2ppp/2np1n2/2b5/2BPP3/5N2/PP3PPP/RNBQ1RK1 b kq - 0 7", "f6e4", "ply14_B_f6e4_best_c5b6"),
|
||||
("r2qk2r/pppb2pp/2n5/2p3B1/Q1B1p3/5N2/PP3PPP/R4RK1 b kq - 1 12", "e4f3", "ply24_B_e4f3_best_c6d4"),
|
||||
("r2Bk2r/pppb2pp/2n5/2p5/Q1B5/8/PP3PpP/R4RK1 w kq - 0 14", "g1g2", "ply27_W_g1g2_best_f1d1"),
|
||||
("r1k4r/pppb2pp/2n5/2p5/2B5/1Q6/PP3PKP/3R1R2 b - - 3 16", "g7g6", "ply32_B_g7g6_best_c6d4"),
|
||||
("rk5r/ppp4p/2n2Qp1/2p5/8/8/PP3PKP/3R1R2 b - - 2 19", "b7b5", "ply38_B_b7b5_best_h8c8"),
|
||||
("rk5r/p1p4p/2n2Qp1/1pp5/8/8/PP3PKP/3R1R2 w - - 0 20", "f6h8", "ply39_W_f6h8_best_f6c6"),
|
||||
("r7/1kp4p/2n2Qp1/ppp5/8/8/PP3PKP/3R1R2 w - - 0 22", "d1d6", "ply43_W_d1d6_best_f1e1"),
|
||||
("8/8/2k3pR/1p6/p1p5/8/PP3PKP/8 b - - 1 29", "c6d7", "ply58_B_c6d7_best_b5b4"),
|
||||
("4k3/8/6R1/1p6/p1p5/8/PP3PKP/8 w - - 1 31", "f2f4", "ply61_W_f2f4_best_g2f3"),
|
||||
("4k3/8/6R1/1p3P2/p1p5/8/PP4KP/8 w - - 1 33", "f5f6", "ply65_W_f5f6_best_g2f3"),
|
||||
("4k3/8/5PR1/1p6/p1p5/8/PP4KP/8 b - - 0 33", "e8d8", "ply66_B_e8d8_best_b5b4"),
|
||||
("5k2/5P1R/8/1p6/p1p4P/8/PP4K1/8 w - - 1 38", "h4h5", "ply75_W_h4h5_best_g2f3"),
|
||||
("5k2/5P1R/8/1p5P/p1p5/8/PP4K1/8 b - - 0 38", "f8e7", "ply76_B_f8e7_best_b5b4"),
|
||||
("5k2/5PR1/7P/1p6/p1p5/8/PP4K1/8 b - - 2 40", "c4c3", "ply80_B_c4c3_best_a4a3"),
|
||||
("5k2/5PR1/7P/1p6/p7/2P5/P5K1/8 b - - 0 41", "f8e7", "ply82_B_f8e7_best_a4a3"),
|
||||
("5Q2/6R1/8/1p1k3Q/p7/2P5/P5K1/8 b - - 2 45", "d5e6", "ply90_B_d5e6_best_d5c4"),
|
||||
("5Q2/6R1/4k3/1p5Q/p7/2P5/P5K1/8 w - - 3 46", "g7g6", "ply91_W_g7g6_best_h5f5"),
|
||||
("5Q2/3k4/6R1/1p5Q/p7/2P5/P5K1/8 w - - 5 47", "f8f7", "ply93_W_f8f7_best_h5h7"),
|
||||
("3k4/5Q2/6R1/1p5Q/p7/2P5/P5K1/8 w - - 7 48", "h5h8", "ply95_W_h5h8_best_h5h8"),
|
||||
("r1bqk2r/ppp2ppp/2np1n2/2b1p1B1/2B1P3/3P1N2/PPP2PPP/RN1Q1RK1 b kq - 1 6", "c5f2", "ply12_B_c5f2_best_h7h6"),
|
||||
("r1bq1rk1/pp3ppp/3p1n2/2p1p1B1/2P1P3/2PP1N2/P5PP/RN1Q1RK1 b - - 0 11", "f6e4", "ply22_B_f6e4_best_h7h6"),
|
||||
("3r1r2/pp3ppk/3N3p/2p1N3/4P3/2P5/P5PP/R2Q1RK1 b - - 0 17", "h7g8", "ply34_B_h7g8_best_f7f6"),
|
||||
("3r1rk1/pp3pp1/3N3p/2p1N3/4P3/2P5/P5PP/R2Q1RK1 w - - 1 18", "e5f7", "ply35_W_e5f7_best_f1f7"),
|
||||
("3r1rk1/pp3Np1/3N3p/2p5/4P3/2P5/P5PP/R2Q1RK1 b - - 0 18", "f8f7", "ply36_B_f8f7_best_d8d7"),
|
||||
("5Q2/p5pk/4P2p/1pp5/8/2P5/P5PP/5RK1 b - - 0 24", "h7g6", "ply48_B_h7g6_best_b5b4"),
|
||||
("5Q2/p5p1/4P1kp/1pp5/8/2P5/P5PP/5RK1 w - - 1 25", "e6e7", "ply49_W_e6e7_best_f8f5"),
|
||||
("5Q2/p3P1p1/6kp/1pp5/8/2P5/P5PP/5RK1 b - - 0 25", "g6h7", "ply50_B_g6h7_best_g6h5"),
|
||||
("4QQ2/p6k/6pp/1pp5/8/2P5/P5PP/5RK1 w - - 0 27", "f8h8", "ply53_W_f8h8_best_f8h8"),
|
||||
("rnb1kb1r/pp3ppp/4q3/2p3N1/4p3/8/PPPPNPPP/R1BQ1RK1 b kq - 1 9", "e6a2", "ply18_B_e6a2_best_e6g6"),
|
||||
("2kr3r/1p4p1/4bp2/7p/Q2b1B2/2P5/1P3PPP/5RK1 w - - 0 20", "c3d4", "ply39_W_c3d4_best_c3d4"),
|
||||
("2kr3r/1p4p1/4bp2/7p/Q2P1B2/8/1P3PPP/5RK1 b - - 0 20", "e6d5", "ply40_B_e6d5_best_d8d5"),
|
||||
("2kr3r/1p4p1/5p2/3b3p/Q2P1B2/8/1P3PPP/5RK1 w - - 1 21", "a4a8", "ply41_W_a4a8_best_f1e1"),
|
||||
("3r3r/1p1k2p1/5p2/3b3p/Q2P1B2/8/1P3PPP/5RK1 b - - 4 22", "d7c8", "ply44_B_d7c8_best_d7e6"),
|
||||
("2kr3r/1p4p1/5p2/Q2b3p/3P1B2/8/1P3PPP/5RK1 b - - 6 23", "b7b6", "ply46_B_b7b6_best_d8d6"),
|
||||
("2kr3r/6p1/1Q3p2/3b3p/3P1B2/8/1P3PPP/5RK1 b - - 0 24", "c8d7", "ply48_B_c8d7_best_d8d6"),
|
||||
("3r3r/3k2p1/1Q3p2/3b3p/3P1B2/8/1P3PPP/5RK1 w - - 1 25", "f4c7", "ply49_W_f4c7_best_f1e1"),
|
||||
("3r3r/2Bk2p1/1Q3p2/3b3p/3P4/8/1P3PPP/5RK1 b - - 2 25", "d8c8", "ply50_B_d8c8_best_d7e8"),
|
||||
("2r4r/2Bk2p1/1Q3p2/3b3p/3P4/8/1P3PPP/5RK1 w - - 3 26", "c7b8", "ply51_W_c7b8_best_b6d6"),
|
||||
("1r5r/Q5p1/4kp2/3b3p/3P4/8/1P3PPP/4R1K1 b - - 3 28", "e6d6", "ply56_B_e6d6_best_e6f5"),
|
||||
("1r5r/2k1R1p1/5p2/3Q3p/3P4/8/1P3PPP/6K1 b - - 2 31", "c7c8", "ply62_B_c7c8_best_c7b6"),
|
||||
("1rk4r/4R1p1/5p2/3Q3p/3P4/8/1P3PPP/6K1 w - - 3 32", "d5c5", "ply63_W_d5c5_best_d5d7"),
|
||||
("1r1k3r/4R1p1/5p2/2Q4p/3P4/8/1P3PPP/6K1 w - - 5 33", "d4d5", "ply65_W_d4d5_best_c5c7"),
|
||||
("3k3r/1Q2R3/5pp1/3P3p/8/8/1P3PPP/6K1 w - - 0 37", "d5d6", "ply73_W_d5d6_best_b7c7"),
|
||||
("3k3r/1Q2R3/3P1p2/6pp/8/8/1P3PPP/6K1 w - - 0 38", "b7b8", "ply75_W_b7b8_best_b7c7"),
|
||||
("rnb2rk1/pp2bppp/8/8/2qN4/2N5/PPP2PPP/R1BQK2R w - - 3 13", "b2b3", "ply25_W_b2b3_best_d1d3"),
|
||||
("rn3rk1/pp2bppp/8/3Q1b2/8/1P6/2q2PPP/2B2K1R w - - 0 18", "d5b7", "ply35_W_d5b7_best_d5d2"),
|
||||
("rn3rk1/pQ2bppp/8/5b2/8/1P6/2q2PPP/2B2K1R b - - 0 18", "c2f2", "ply36_B_c2f2_best_c2d1"),
|
||||
("6k1/p2n1ppp/8/2b5/6b1/1P6/3K3P/4R3 b - - 0 27", "c5b4", "ply54_B_c5b4_best_c5b4"),
|
||||
("6k1/p2n1ppp/8/8/5Kb1/1P6/7P/4b3 b - - 1 29", "e1c3", "ply58_B_e1c3_best_g4e6"),
|
||||
("6k1/p2n1ppp/8/8/6K1/1Pb5/7P/8 b - - 0 30", "d7f6", "ply60_B_d7f6_best_g7g6"),
|
||||
("6k1/p4ppp/5n2/5K2/8/1Pb5/7P/8 b - - 2 31", "f6d7", "ply62_B_f6d7_best_g7g6"),
|
||||
("6k1/p2n1ppp/8/5K2/8/1Pb5/7P/8 w - - 3 32", "f5e4", "ply63_W_f5e4_best_f5e4"),
|
||||
("6k1/p2n1ppp/8/8/4K3/1Pb5/7P/8 b - - 4 32", "d7f6", "ply64_B_d7f6_best_d7b6"),
|
||||
("6k1/p4ppp/8/4b2n/4K3/1P5P/8/8 b - - 2 35", "e5b8", "ply70_B_e5b8_best_e5c7"),
|
||||
("1b4k1/p4ppp/8/7n/4K3/1P5P/8/8 w - - 3 36", "e4f5", "ply71_W_e4f5_best_e4d3"),
|
||||
("1b4k1/p4ppp/8/5K1n/8/1P5P/8/8 b - - 4 36", "b8d6", "ply72_B_b8d6_best_g7g6"),
|
||||
("6k1/p4ppp/3b4/5K1n/8/1P5P/8/8 w - - 5 37", "f5g5", "ply73_W_f5g5_best_f5e4"),
|
||||
("6k1/p4ppp/3b4/6Kn/8/1P5P/8/8 b - - 6 37", "h5f4", "ply74_B_h5f4_best_g7g6"),
|
||||
("6k1/p4ppp/3b4/8/5nK1/1P5P/8/8 b - - 8 38", "h7h5", "ply76_B_h7h5_best_g7g6"),
|
||||
("6k1/p4pp1/3b4/7p/5nK1/1P5P/8/8 w - - 0 39", "g4g3", "ply77_W_g4g3_best_g4f3"),
|
||||
("6k1/p4pp1/3b4/7p/5n2/1P4KP/8/8 b - - 1 39", "f4e6", "ply78_B_f4e6_best_f4d5"),
|
||||
("6k1/p4pp1/3bn3/7p/8/1P4KP/8/8 w - - 2 40", "g3h4", "ply79_W_g3h4_best_g3f3"),
|
||||
("6k1/p4pp1/3bn3/7p/7K/1P5P/8/8 b - - 3 40", "e6c5", "ply80_B_e6c5_best_g7g6"),
|
||||
("6k1/p4pp1/3b4/2n4p/7K/1P5P/8/8 w - - 4 41", "h4h5", "ply81_W_h4h5_best_h4h5"),
|
||||
("6k1/p4pp1/3b4/2n4K/8/1P5P/8/8 b - - 0 41", "c5b3", "ply82_B_c5b3_best_g7g6"),
|
||||
("6k1/p4pp1/3b4/6K1/8/1n5P/8/8 b - - 1 42", "d6e7", "ply84_B_d6e7_best_b3d4"),
|
||||
("6k1/p3bpp1/8/5K2/8/1n5P/8/8 b - - 3 43", "b3d4", "ply86_B_b3d4_best_a7a5"),
|
||||
("8/p3kpp1/5b2/8/3nK3/7P/8/8 w - - 10 47", "e4f4", "ply93_W_e4f4_best_e4d3"),
|
||||
("8/p3kpp1/4nb2/8/5K2/7P/8/8 w - - 12 48", "f4f5", "ply95_W_f4f5_best_f4e3"),
|
||||
("6k1/p4pp1/5b2/3K4/3n4/7P/8/8 w - - 18 51", "d5d6", "ply101_W_d5d6_best_d5c4"),
|
||||
("6k1/p4pp1/4nb2/2K5/8/7P/8/8 w - - 24 54", "c5d6", "ply107_W_c5d6_best_c5b4"),
|
||||
("6k1/p4pp1/3K1b2/8/5n2/7P/8/8 w - - 26 55", "d6d7", "ply109_W_d6d7_best_h3h4"),
|
||||
("6k1/p2K1pp1/5b2/8/8/7n/8/8 w - - 0 56", "d7e8", "ply111_W_d7e8_best_d7c6"),
|
||||
|
||||
# from test_blunders_6tW77MSE.py
|
||||
("r2q1rk1/ppp1pp1p/6p1/2Pp3P/PP1nnPb1/8/8/RNB1KB1R w KQ - 0 13", "h5g6", "ply25_W_h5g6"),
|
||||
("r2q1rk1/ppp1pp1p/6P1/2Pp4/PP1nnPb1/8/8/RNB1KB1R b KQ - 0 13", "f7g6", "ply26_B_f7g6"),
|
||||
("r2q1rk1/ppp1p2p/6p1/2Pp4/PP1nnPb1/8/8/RNB1KB1R w KQ - 0 14", "c5c6", "ply27_W_c5c6"),
|
||||
("r2q1rk1/ppp1p2p/2P3p1/3p4/PP1nnPb1/8/8/RNB1KB1R b KQ - 0 14", "g4f3", "ply28_B_g4f3"),
|
||||
("r2q1rk1/ppp1p2p/2P3p1/3p4/PP1nnP2/5b2/8/RNB1KB1R w KQ - 1 15", "c6b7", "ply29_W_c6b7"),
|
||||
("r2q1rk1/pPp1p2p/6p1/3p4/PP1nnP2/5b2/8/RNB1KB1R b KQ - 0 15", "a8b8", "ply30_B_a8b8"),
|
||||
("1r1q1rk1/pPp1p2p/6p1/3p4/PP1nnP2/5b2/8/RNB1KB1R w KQ - 1 16", "f4f5", "ply31_W_f4f5"),
|
||||
("1r1q1rk1/pPp1p2p/6p1/3p1P2/PP1nn3/5b2/8/RNB1KB1R b KQ - 0 16", "f3h1", "ply32_B_f3h1"),
|
||||
("1r1q1rk1/pPp1p2p/6p1/3p1P2/PP1nn3/8/8/RNB1KB1b w Q - 0 17", "f5g6", "ply33_W_f5g6"),
|
||||
("1r1q1rk1/pPp1p3/6p1/3p4/PP1nn3/8/8/RNB1KB1b w Q - 0 18", "b4b5", "ply35_W_b4b5"),
|
||||
("1r1q1rk1/pPp1p3/6p1/1P1p4/P3n3/5n2/8/RNB1KB1b w Q - 1 19", "e1e2", "ply37_W_e1e2"),
|
||||
("1r1q1rk1/pPp1p3/6p1/1P1p4/P3n3/5n2/4K3/RNB2B1b b - - 2 19", "e4g3", "ply38_B_e4g3"),
|
||||
("1r1q1rk1/pPp1p3/6p1/1P1p4/P7/5nn1/4K3/RNB2B1b w - - 3 20", "e2e3", "ply39_W_e2e3"),
|
||||
("1r1q1rk1/pPp1p3/6p1/1P1p4/P7/3K4/8/RNB1nn1b w - - 2 22", "d3d4", "ply43_W_d3d4"),
|
||||
("1r1q2k1/pPp1p3/6p1/1P1p4/P2K1r2/8/8/RNB1nn1b w - - 4 23", "d4e5", "ply45_W_d4e5"),
|
||||
("1r1q2k1/pPp1p3/6p1/1P1pK3/P4r2/8/8/RNB1nn1b b - - 5 23", "d8d6", "ply46_B_d8d6"),
|
||||
|
||||
# from test_blunders_EUQXHm7d.py
|
||||
("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1b6/8/bNB1KB1n b - - 0 18", "a1c3", "ply36_B_a1c3"),
|
||||
("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1bb5/8/1NB1KB1n w - - 1 19", "b1d2", "ply37_W_b1d2"),
|
||||
("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1bb5/3N4/2B1KB1n b - - 2 19", "c3d2", "ply38_B_c3d2"),
|
||||
("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1b6/3b4/2B1KB1n w - - 0 20", "c1d2", "ply39_W_c1d2"),
|
||||
("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1b6/3B4/4KB1n b - - 0 20", "h1g3", "ply40_B_h1g3"),
|
||||
("1r1q1r2/pPp1pp1k/5P2/3p4/P7/1b4n1/3B4/4KB2 w - - 1 21", "f6e7", "ply41_W_f6e7"),
|
||||
("1r3r2/pPp1qp1k/8/3p4/P7/1b4n1/3B4/4KB2 w - - 0 22", "f1e2", "ply43_W_f1e2"),
|
||||
("1r3r2/pPp1qp1k/8/3p4/P7/1b4n1/3BB3/4K3 b - - 1 22", "e7e3", "ply44_B_e7e3"),
|
||||
("1r3r2/pPp2p1k/8/3p4/P7/1b2q1n1/3BB3/4K3 w - - 2 23", "a4a5", "ply45_W_a4a5"),
|
||||
("1r3r2/pPp2p1k/8/P2p4/8/1b2q1n1/3BB3/4K3 b - - 0 23", "e3e2", "ply46_B_e3e2"),
|
||||
|
||||
# from test_blunders_LeA9yF98.py
|
||||
("r1bqk2r/ppp2ppp/2np1n2/2b1p3/2BPP3/2P2N2/PP3PPP/RNBQ1RK1 b kq - 0 6", "d6d5", "ply12_B_d6d5"),
|
||||
("r1bqk2r/ppp2ppp/2n2n2/2bpp3/2BPP3/2P2N2/PP3PPP/RNBQ1RK1 w kq - 0 7", "d4c5", "ply13_W_d4c5"),
|
||||
("r1bqk2r/ppp2ppp/2n2n2/2Ppp3/2B1P3/2P2N2/PP3PPP/RNBQ1RK1 b kq - 0 7", "d5e4", "ply14_B_d5e4"),
|
||||
("r1bB2kr/2p2p2/p1B5/2P3pp/1Pp1p3/4P3/P2N2PP/RN1Q1RK1 b - - 0 17", "g8h7", "ply34_B_g8h7"),
|
||||
("B1bB3r/2p2p1k/p7/2P3pp/1Pp1p3/4P3/P2N2PP/RN1Q1RK1 b - - 0 18", "h7g7", "ply36_B_h7g7"),
|
||||
("B1b4r/2p2pk1/p4B2/2P3pp/1Pp1p3/4P3/P2N2PP/RN1Q1RK1 b - - 2 19", "g7g8", "ply38_B_g7g8"),
|
||||
("B1b3kB/2p2p2/p7/2P3pp/1Pp1p3/4P3/P2N2PP/RN1Q1RK1 b - - 0 20", "g8f8", "ply40_B_g8f8"),
|
||||
("B1b2k1B/2p2p2/p7/2P3pQ/1Pp1p3/4P3/P2N2PP/RN3RK1 b - - 0 21", "f8e8", "ply42_B_f8e8"),
|
||||
("B1b1k2B/2p2R2/p7/2P3pQ/1Pp1p3/4P3/P2N2PP/RN4K1 b - - 0 22", "c7c6", "ply44_B_c7c6"),
|
||||
("5k1B/3R4/p1B5/2P3pQ/1Pp1p3/4P3/P2N2PP/RN4K1 w - - 1 25", "d7d8", "ply49_W_d7d8"),
|
||||
("3R3B/4k3/p1B5/2P3pQ/1Pp1p3/4P3/P2N2PP/RN4K1 w - - 3 26", "h5e8", "ply51_W_h5e8"),
|
||||
|
||||
# from test_blunders_OVmR29MI.py
|
||||
("rnb1kb1r/pp3ppp/4q3/2p3N1/4p3/8/PPPPNPPP/R1BQ1RK1 b kq - 1 9", "e6a2", "ply18_B_e6a2"),
|
||||
("2kr3r/1p4p1/4bp2/7p/Q2b1B2/2P5/1P3PPP/5RK1 w - - 0 20", "c3d4", "ply39_W_c3d4"),
|
||||
("2kr3r/1p4p1/4bp2/7p/Q2P1B2/8/1P3PPP/5RK1 b - - 0 20", "e6d5", "ply40_B_e6d5"),
|
||||
("2kr3r/1p4p1/5p2/3b3p/Q2P1B2/8/1P3PPP/5RK1 w - - 1 21", "a4a8", "ply41_W_a4a8"),
|
||||
("3r3r/1p1k2p1/5p2/3b3p/Q2P1B2/8/1P3PPP/5RK1 b - - 4 22", "d7c8", "ply44_B_d7c8"),
|
||||
("2kr3r/1p4p1/5p2/Q2b3p/3P1B2/8/1P3PPP/5RK1 b - - 6 23", "b7b6", "ply46_B_b7b6"),
|
||||
("2kr3r/6p1/1Q3p2/3b3p/3P1B2/8/1P3PPP/5RK1 b - - 0 24", "c8d7", "ply48_B_c8d7"),
|
||||
("3r3r/3k2p1/1Q3p2/3b3p/3P1B2/8/1P3PPP/5RK1 w - - 1 25", "f4c7", "ply49_W_f4c7"),
|
||||
("3r3r/2Bk2p1/1Q3p2/3b3p/3P4/8/1P3PPP/5RK1 b - - 2 25", "d8c8", "ply50_B_d8c8"),
|
||||
("2r4r/2Bk2p1/1Q3p2/3b3p/3P4/8/1P3PPP/5RK1 w - - 3 26", "c7b8", "ply51_W_c7b8"),
|
||||
("1r5r/Q5p1/4kp2/3b3p/3P4/8/1P3PPP/4R1K1 b - - 3 28", "e6d6", "ply56_B_e6d6"),
|
||||
("1r5r/2k1R1p1/5p2/3Q3p/3P4/8/1P3PPP/6K1 b - - 2 31", "c7c8", "ply62_B_c7c8"),
|
||||
("1rk4r/4R1p1/5p2/3Q3p/3P4/8/1P3PPP/6K1 w - - 3 32", "d5c5", "ply63_W_d5c5"),
|
||||
("1r1k3r/4R1p1/5p2/2Q4p/3P4/8/1P3PPP/6K1 w - - 5 33", "d4d5", "ply65_W_d4d5"),
|
||||
("3k3r/1Q2R3/5pp1/3P3p/8/8/1P3PPP/6K1 w - - 0 37", "d5d6", "ply73_W_d5d6"),
|
||||
("3k3r/1Q2R3/3P1p2/6pp/8/8/1P3PPP/6K1 w - - 0 38", "b7b8", "ply75_W_b7b8"),
|
||||
|
||||
# from test_blunders_P3sWyT5C.py
|
||||
("r1bqk2r/ppp2ppp/2np1n2/2b1p3/2BPP3/2P2N2/PP3PPP/RNBQ1RK1 b kq - 0 6", "e8g8", "ply12_B_e8g8"),
|
||||
("r1bq1r1k/ppP2ppp/2n2n2/4p1B1/2B1P3/1NP2N2/PP3PPP/R2Q1RK1 b - - 0 12", "h8g8", "ply24_B_h8g8"),
|
||||
("r1bR2k1/pp3ppp/2n2n2/4p1B1/2B1P3/1NP2N2/PPQ2PPP/5RK1 b - - 0 16", "f6e8", "ply32_B_f6e8"),
|
||||
("r1bRn1k1/pp3ppp/2n5/4p1B1/2B1P3/1NP2N2/PPQ2PPP/5RK1 w - - 1 17", "d8e8", "ply33_W_d8e8"),
|
||||
|
||||
# from test_blunders_PdZ7Ft7C.py
|
||||
("rnb2rk1/pp2bppp/8/8/2qN4/2N5/PPP2PPP/R1BQK2R w - - 3 13", "b2b3", "ply25_W_b2b3"),
|
||||
("rn3rk1/pp2bppp/8/3Q1b2/8/1P6/2q2PPP/2B2K1R w - - 0 18", "d5b7", "ply35_W_d5b7"),
|
||||
("rn3rk1/pQ2bppp/8/5b2/8/1P6/2q2PPP/2B2K1R b - - 0 18", "c2f2", "ply36_B_c2f2"),
|
||||
("6k1/p2n1ppp/8/2b5/6b1/1P6/3K3P/4R3 b - - 0 27", "c5b4", "ply54_B_c5b4"),
|
||||
("6k1/p2n1ppp/8/8/5Kb1/1P6/7P/4b3 b - - 1 29", "e1c3", "ply58_B_e1c3"),
|
||||
("6k1/p2n1ppp/8/8/6K1/1Pb5/7P/8 b - - 0 30", "d7f6", "ply60_B_d7f6"),
|
||||
("6k1/p4ppp/5n2/5K2/8/1Pb5/7P/8 b - - 2 31", "f6d7", "ply62_B_f6d7"),
|
||||
("6k1/p2n1ppp/8/5K2/8/1Pb5/7P/8 w - - 3 32", "f5e4", "ply63_W_f5e4"),
|
||||
("6k1/p2n1ppp/8/8/4K3/1Pb5/7P/8 b - - 4 32", "d7f6", "ply64_B_d7f6"),
|
||||
("6k1/p4ppp/8/4b2n/4K3/1P5P/8/8 b - - 2 35", "e5b8", "ply70_B_e5b8"),
|
||||
("1b4k1/p4ppp/8/7n/4K3/1P5P/8/8 w - - 3 36", "e4f5", "ply71_W_e4f5"),
|
||||
("1b4k1/p4ppp/8/5K1n/8/1P5P/8/8 b - - 4 36", "b8d6", "ply72_B_b8d6"),
|
||||
("6k1/p4ppp/3b4/5K1n/8/1P5P/8/8 w - - 5 37", "f5g5", "ply73_W_f5g5"),
|
||||
("6k1/p4ppp/3b4/6Kn/8/1P5P/8/8 b - - 6 37", "h5f4", "ply74_B_h5f4"),
|
||||
("6k1/p4ppp/3b4/8/5nK1/1P5P/8/8 b - - 8 38", "h7h5", "ply76_B_h7h5"),
|
||||
("6k1/p4pp1/3b4/7p/5nK1/1P5P/8/8 w - - 0 39", "g4g3", "ply77_W_g4g3"),
|
||||
("6k1/p4pp1/3b4/7p/5n2/1P4KP/8/8 b - - 1 39", "f4e6", "ply78_B_f4e6"),
|
||||
("6k1/p4pp1/3bn3/7p/8/1P4KP/8/8 w - - 2 40", "g3h4", "ply79_W_g3h4"),
|
||||
("6k1/p4pp1/3bn3/7p/7K/1P5P/8/8 b - - 3 40", "e6c5", "ply80_B_e6c5"),
|
||||
("6k1/p4pp1/3b4/2n4p/7K/1P5P/8/8 w - - 4 41", "h4h5", "ply81_W_h4h5"),
|
||||
("6k1/p4pp1/3b4/2n4K/8/1P5P/8/8 b - - 0 41", "c5b3", "ply82_B_c5b3"),
|
||||
("6k1/p4pp1/3b4/6K1/8/1n5P/8/8 b - - 1 42", "d6e7", "ply84_B_d6e7"),
|
||||
("6k1/p3bpp1/8/5K2/8/1n5P/8/8 b - - 3 43", "b3d4", "ply86_B_b3d4"),
|
||||
("8/p3kpp1/5b2/8/3nK3/7P/8/8 w - - 10 47", "e4f4", "ply93_W_e4f4"),
|
||||
("8/p3kpp1/4nb2/8/5K2/7P/8/8 w - - 12 48", "f4f5", "ply95_W_f4f5"),
|
||||
("6k1/p4pp1/5b2/3K4/3n4/7P/8/8 w - - 18 51", "d5d6", "ply101_W_d5d6"),
|
||||
("6k1/p4pp1/4nb2/2K5/8/7P/8/8 w - - 24 54", "c5d6", "ply107_W_c5d6"),
|
||||
("6k1/p4pp1/3K1b2/8/5n2/7P/8/8 w - - 26 55", "d6d7", "ply109_W_d6d7"),
|
||||
("6k1/p2K1pp1/5b2/8/8/7n/8/8 w - - 0 56", "d7e8", "ply111_W_d7e8"),
|
||||
|
||||
# from test_blunders_VVSlhSJB.py
|
||||
("r1bqk2r/ppp2ppp/2np1n2/2b1p1B1/2B1P3/3P1N2/PPP2PPP/RN1Q1RK1 b kq - 1 6", "c5f2", "ply12_B_c5f2"),
|
||||
("r1bq1rk1/pp3ppp/3p1n2/2p1p1B1/2P1P3/2PP1N2/P5PP/RN1Q1RK1 b - - 0 11", "f6e4", "ply22_B_f6e4"),
|
||||
("3r1r2/pp3ppk/3N3p/2p1N3/4P3/2P5/P5PP/R2Q1RK1 b - - 0 17", "h7g8", "ply34_B_h7g8"),
|
||||
("3r1rk1/pp3pp1/3N3p/2p1N3/4P3/2P5/P5PP/R2Q1RK1 w - - 1 18", "e5f7", "ply35_W_e5f7"),
|
||||
("3r1rk1/pp3Np1/3N3p/2p5/4P3/2P5/P5PP/R2Q1RK1 b - - 0 18", "f8f7", "ply36_B_f8f7"),
|
||||
("5Q2/p5pk/4P2p/1pp5/8/2P5/P5PP/5RK1 b - - 0 24", "h7g6", "ply48_B_h7g6"),
|
||||
("5Q2/p5p1/4P1kp/1pp5/8/2P5/P5PP/5RK1 w - - 1 25", "e6e7", "ply49_W_e6e7"),
|
||||
("5Q2/p3P1p1/6kp/1pp5/8/2P5/P5PP/5RK1 b - - 0 25", "g6h7", "ply50_B_g6h7"),
|
||||
("4QQ2/p6k/6pp/1pp5/8/2P5/P5PP/5RK1 w - - 0 27", "f8h8", "ply53_W_f8h8"),
|
||||
|
||||
# from test_blunders_mgh3xtEb.py
|
||||
("r4r2/p2p3k/n2Np1p1/q1p5/P5Q1/8/3NKP2/8 b - - 2 24", "a5c7", "ply48_B_a5c7"),
|
||||
("r4N2/p6k/n5pq/P1pp4/6Q1/5N2/4KP2/8 b - - 0 30", "h6f8", "ply60_B_h6f8"),
|
||||
("r4q2/p6k/n5p1/P1pp4/6Q1/5N2/4KP2/8 w - - 0 31", "g4h3", "ply61_W_g4h3"),
|
||||
("r4qk1/p2Q4/n5p1/P1pp4/8/5N2/4KP2/8 w - - 4 33", "e2e3", "ply65_W_e2e3"),
|
||||
("4rqk1/p2Q4/n5p1/P1pp4/8/4KN2/5P2/8 w - - 6 34", "e3d2", "ply67_W_e3d2"),
|
||||
("4rqk1/p2Q4/n5p1/P1pp4/8/5N2/3K1P2/8 b - - 7 34", "d5d4", "ply68_B_d5d4"),
|
||||
("4rqk1/p2Q4/n5p1/P1p5/3p4/5N2/3K1P2/8 w - - 0 35", "d7a7", "ply69_W_d7a7"),
|
||||
("4r1k1/Q7/n5p1/P1p5/3p4/5q2/3K1P2/8 w - - 0 36", "d2c2", "ply71_W_d2c2"),
|
||||
("6k1/Q7/n5p1/P1p5/3p4/8/4rq2/3K4 w - - 0 38", "d1c1", "ply75_W_d1c1"),
|
||||
("6k1/Q7/n5p1/P1p5/3p4/8/4rq2/2K5 b - - 1 38", "f2e1", "ply76_B_f2e1"),
|
||||
|
||||
# from test_blunders_rbnSljUJ.py
|
||||
("r1bqk2r/ppp2ppp/2np1n2/2b3B1/2BPP3/5N2/PP3PPP/RN1Q1RK1 b kq - 0 7", "h7h5", "ply14_B_h7h5"),
|
||||
("r1br3k/5B2/2n2n2/pp2p1Bp/4P3/1QP2N2/PP3PPP/RN3RK1 b - - 0 13", "h5h4", "ply26_B_h5h4"),
|
||||
("r1br4/5B1k/2n2B2/pp2p3/4P2p/1QP2N2/PP3PPP/RN3RK1 w - - 1 15", "f6d8", "ply29_W_f6d8"),
|
||||
("r1bB4/5B1k/2n5/pp2p3/4P2p/1QP2N2/PP3PPP/RN3RK1 b - - 0 15", "b5b4", "ply30_B_b5b4"),
|
||||
("r1bB4/5B1k/2n5/p3p3/1p2P2p/1QP2N2/PP3PPP/RN3RK1 w - - 0 16", "f7d5", "ply31_W_f7d5"),
|
||||
("r1bB4/7k/2n5/p2Bp3/1p2P2p/1QP2N2/PP3PPP/RN3RK1 b - - 1 16", "b4c3", "ply32_B_b4c3"),
|
||||
("r1bB4/7k/2B5/p3p3/4P2p/1Qp2N2/PP3PPP/RN3RK1 b - - 0 17", "c3c2", "ply34_B_c3c2"),
|
||||
("B1bB4/7k/8/p3p3/4P2p/1Q3N2/PPp2PPP/RN3RK1 b - - 0 18", "c2b1q", "ply36_B_c2b1q"),
|
||||
("B1bB4/7k/8/p3p3/4P2p/1Q3N2/PP3PPP/1R3RK1 b - - 0 19", "a5a4", "ply38_B_a5a4"),
|
||||
("B1bB4/5Q2/7k/4p3/p3P2p/5N2/PP3PPP/1R3RK1 w - - 2 21", "d8g5", "ply41_W_d8g5"),
|
||||
|
||||
# from test_blunders_uetJvfYW.py
|
||||
("rnbqkb1r/pppppppp/8/4P3/5n2/2NP4/PPP2PPP/R1BQKBNR b KQkq - 0 4", "g7g6", "ply8_B_g7g6"),
|
||||
("rnbqkb1r/pppppp1p/6p1/4P3/5n2/2NP4/PPP2PPP/R1BQKBNR w KQkq - 0 5", "g1f3", "ply9_W_g1f3"),
|
||||
("rnbqkb1r/pppppp1p/6p1/4P3/5n2/2NP1N2/PPP2PPP/R1BQKB1R b KQkq - 1 5", "f8g7", "ply10_B_f8g7"),
|
||||
("rnbq1rk1/3p1pbp/p1p3p1/3pP3/Pp3BPP/2N2N2/1PP2P2/R2QKB1R w KQ - 0 13", "b2b3", "ply25_W_b2b3"),
|
||||
|
||||
# from test_blunders_2n69vqvJ.py
|
||||
("r1bqk2r/ppp2ppp/2np1n2/2b5/2BPP3/5N2/PP3PPP/RNBQ1RK1 b kq - 0 7", "f6e4", "ply14_B_f6e4"),
|
||||
("r2qk2r/pppb2pp/2n5/2p3B1/Q1B1p3/5N2/PP3PPP/R4RK1 b kq - 1 12", "e4f3", "ply24_B_e4f3"),
|
||||
("r2Bk2r/pppb2pp/2n5/2p5/Q1B5/8/PP3PpP/R4RK1 w kq - 0 14", "g1g2", "ply27_W_g1g2"),
|
||||
("r1k4r/pppb2pp/2n5/2p5/2B5/1Q6/PP3PKP/3R1R2 b - - 3 16", "g7g6", "ply32_B_g7g6"),
|
||||
("rk5r/ppp4p/2n2Qp1/2p5/8/8/PP3PKP/3R1R2 b - - 2 19", "b7b5", "ply38_B_b7b5"),
|
||||
("rk5r/p1p4p/2n2Qp1/1pp5/8/8/PP3PKP/3R1R2 w - - 0 20", "f6h8", "ply39_W_f6h8"),
|
||||
("r7/1kp4p/2n2Qp1/ppp5/8/8/PP3PKP/3R1R2 w - - 0 22", "d1d6", "ply43_W_d1d6"),
|
||||
("8/8/2k3pR/1p6/p1p5/8/PP3PKP/8 b - - 1 29", "c6d7", "ply58_B_c6d7"),
|
||||
("4k3/8/6R1/1p6/p1p5/8/PP3PKP/8 w - - 1 31", "f2f4", "ply61_W_f2f4"),
|
||||
("4k3/8/6R1/1p3P2/p1p5/8/PP4KP/8 w - - 1 33", "f5f6", "ply65_W_f5f6"),
|
||||
("4k3/8/5PR1/1p6/p1p5/8/PP4KP/8 b - - 0 33", "e8d8", "ply66_B_e8d8"),
|
||||
("5k2/5P1R/8/1p6/p1p4P/8/PP4K1/8 w - - 1 38", "h4h5", "ply75_W_h4h5"),
|
||||
("5k2/5P1R/8/1p5P/p1p5/8/PP4K1/8 b - - 0 38", "f8e7", "ply76_B_f8e7"),
|
||||
("5k2/5PR1/7P/1p6/p1p5/8/PP4K1/8 b - - 2 40", "c4c3", "ply80_B_c4c3"),
|
||||
("5k2/5PR1/7P/1p6/p7/2P5/P5K1/8 b - - 0 41", "f8e7", "ply82_B_f8e7"),
|
||||
("5Q2/6R1/8/1p1k3Q/p7/2P5/P5K1/8 b - - 2 45", "d5e6", "ply90_B_d5e6"),
|
||||
("5Q2/6R1/4k3/1p5Q/p7/2P5/P5K1/8 w - - 3 46", "g7g6", "ply91_W_g7g6"),
|
||||
("5Q2/3k4/6R1/1p5Q/p7/2P5/P5K1/8 w - - 5 47", "f8f7", "ply93_W_f8f7"),
|
||||
("3k4/5Q2/6R1/1p5Q/p7/2P5/P5K1/8 w - - 7 48", "h5h8", "ply95_W_h5h8"),
|
||||
]
|
||||
|
||||
|
||||
# --- Helpers to resolve optimal move (UCI) from past game logs by label ---
|
||||
_PLY_LABEL_RE = re.compile(
|
||||
r"^ply(?P<num>\d+)_([WB])_([a-h][1-8][a-h][1-8](?:[qrbn])?)(?:_best_([a-h][1-8][a-h][1-8](?:[qrbn])?))?$"
|
||||
)
|
||||
|
||||
|
||||
def _parse_label(label: str) -> tuple[int | None, str | None, str | None, str | None]:
|
||||
m = _PLY_LABEL_RE.match(label)
|
||||
if not m:
|
||||
return None, None, None, None
|
||||
num = int(m.group("num"))
|
||||
# Extract side and the trailing UCI from label for context if needed
|
||||
parts = label.split("_")
|
||||
side = parts[1] if len(parts) > 1 else None
|
||||
uci = parts[2] if len(parts) > 2 else None
|
||||
best_uci = None
|
||||
if len(parts) >= 5 and parts[3] == 'best':
|
||||
best_uci = parts[4]
|
||||
return num, side, uci, best_uci
|
||||
|
||||
|
||||
def _iter_past_game_logs(repo_root: str):
|
||||
# Search both the canonical tools/past_games folder and repo root, since logs may be kept in either
|
||||
candidate_dirs = [
|
||||
os.path.join(repo_root, "PYTHON", "lichess_bot", "tools", "past_games"),
|
||||
repo_root,
|
||||
]
|
||||
seen = set()
|
||||
for logs_dir in candidate_dirs:
|
||||
if not os.path.isdir(logs_dir):
|
||||
continue
|
||||
for name in os.listdir(logs_dir):
|
||||
if not name.startswith("lichess_bot_game_") or not name.endswith(".log"):
|
||||
continue
|
||||
if (logs_dir, name) in seen:
|
||||
continue
|
||||
seen.add((logs_dir, name))
|
||||
path = os.path.join(logs_dir, name)
|
||||
try:
|
||||
with open(path, "r", encoding="utf-8", errors="ignore") as f:
|
||||
yield name, f.read()
|
||||
except Exception:
|
||||
continue
|
||||
|
||||
|
||||
def _bot_side_from_log(txt: str) -> str | None:
|
||||
# Try to infer whether VibeBot was White (W) or Black (B)
|
||||
# Look for line: Players: VibeBot vs Reduktor OR Reduktor vs VibeBot
|
||||
for line in txt.splitlines():
|
||||
if line.startswith("Players:"):
|
||||
low = line.lower()
|
||||
if "vibebot vs" in low:
|
||||
return "W"
|
||||
if "vs vibebot" in low:
|
||||
return "B"
|
||||
return None
|
||||
|
||||
|
||||
def _resolve_optimal_uci_from_logs(repo_root: str, label: str, fen: str) -> str | None:
|
||||
ply_num, side, _, _ = _parse_label(label)
|
||||
if ply_num is None or side is None:
|
||||
return None
|
||||
target_prefix = f"ply {ply_num}:"
|
||||
# We'll only return a move that's legal in the provided FEN
|
||||
try:
|
||||
position = chess.Board(fen)
|
||||
except Exception:
|
||||
position = None
|
||||
for fname, txt in _iter_past_game_logs(repo_root):
|
||||
bot_side = _bot_side_from_log(txt)
|
||||
# Prefer logs where the bot side matches the label side (heuristic)
|
||||
if bot_side is not None and bot_side != side:
|
||||
continue
|
||||
lines = txt.splitlines()
|
||||
for i, line in enumerate(lines):
|
||||
if line.strip().startswith(target_prefix):
|
||||
# Look for a following line starting with 'best '
|
||||
# Usually immediate or within a couple of lines
|
||||
for j in range(i + 1, min(i + 6, len(lines))):
|
||||
s = lines[j].strip()
|
||||
if s.startswith("best "):
|
||||
# Expect format: best <SAN> (<uci>) ...
|
||||
m = re.search(r"\(([a-h][1-8][a-h][1-8](?:[qrbn])?)\)", s)
|
||||
if m:
|
||||
uci = m.group(1)
|
||||
if position is not None:
|
||||
try:
|
||||
mv = chess.Move.from_uci(uci)
|
||||
if mv in position.legal_moves:
|
||||
return uci
|
||||
else:
|
||||
# Skip illegal candidates and keep searching
|
||||
continue
|
||||
except Exception:
|
||||
continue
|
||||
return uci
|
||||
# Fallback: sometimes lines like 'avoided risky ...' appear first, keep scanning
|
||||
continue
|
||||
# If we hit here, this ply in this log lacks a 'best' line nearby
|
||||
# Try a little farther just in case
|
||||
for j in range(i + 1, min(i + 12, len(lines))):
|
||||
s = lines[j].strip()
|
||||
if s.startswith("best "):
|
||||
m = re.search(r"\(([a-h][1-8][a-h][1-8](?:[qrbn])?)\)", s)
|
||||
if m:
|
||||
uci = m.group(1)
|
||||
if position is not None:
|
||||
try:
|
||||
mv = chess.Move.from_uci(uci)
|
||||
if mv in position.legal_moves:
|
||||
return uci
|
||||
else:
|
||||
continue
|
||||
except Exception:
|
||||
continue
|
||||
return uci
|
||||
# Otherwise move to next log
|
||||
return None
|
||||
|
||||
|
||||
@pytest.mark.parametrize('fen,blunder_uci,label', BLUNDER_CASES, ids=[c[2] for c in BLUNDER_CASES])
|
||||
def test_engine_avoids_logged_blunder(fen, blunder_uci, label):
|
||||
board = chess.Board(fen)
|
||||
@ -208,4 +308,65 @@ def test_engine_avoids_logged_blunder(fen, blunder_uci, label):
|
||||
move = eng.choose_move(board)
|
||||
assert move is not None, 'Engine returned no move'
|
||||
assert move in board.legal_moves, 'Engine move is illegal'
|
||||
# If the engine repeats the blunder, gather deeper diagnostics: compare eval of blunder vs engine's best
|
||||
if move.uci() == blunder_uci:
|
||||
# Pick optimal move from parametrized data, with fallback to resolving from logs
|
||||
# First, try to extract an explicit optimal UCI encoded in the test label
|
||||
_, _, _, optimal_from_label = _parse_label(label)
|
||||
optimal_from_logs = optimal_from_label or _resolve_optimal_uci_from_logs(REPO_ROOT, label, fen)
|
||||
details = [
|
||||
f'Engine repeated blunder {blunder_uci} at {label}.',
|
||||
f'engine_move_explanation: {explanation}'.strip(),
|
||||
]
|
||||
# Try to request a side-by-side evaluation (blunder vs optimal) from the engine if available
|
||||
try:
|
||||
if hasattr(eng, 'evaluate_proposed_move_with_suggestion'):
|
||||
try:
|
||||
proposed_score_cp, proposed_expl, best_move, best_expl = eng.evaluate_proposed_move_with_suggestion(
|
||||
board, blunder_uci, time_budget_sec=1.0
|
||||
)
|
||||
details.append('--- comparative analysis (engine provided) ---')
|
||||
details.append(f'blunder {blunder_uci}: score={proposed_score_cp}cp explanation: {proposed_expl}')
|
||||
# If we found an optimal move from logs, evaluate that exact move as well
|
||||
if optimal_from_logs:
|
||||
try:
|
||||
opt_score_cp, opt_expl, _, _ = eng.evaluate_proposed_move_with_suggestion(
|
||||
board, optimal_from_logs, time_budget_sec=1.0
|
||||
)
|
||||
details.append(f'optimal_from_logs {optimal_from_logs}: score={opt_score_cp}cp explanation: {opt_expl}')
|
||||
except Exception as e:
|
||||
details.append(f'optimal_from_logs {optimal_from_logs}: <error evaluating: {e}>')
|
||||
elif optimal_from_logs is None:
|
||||
details.append('optimal_from_logs: <not found>')
|
||||
if best_move is not None:
|
||||
details.append(
|
||||
f'engine_optimal {best_move.uci()}: explanation: {best_expl}'
|
||||
)
|
||||
else:
|
||||
details.append('engine_optimal: <none>')
|
||||
except Exception as e: # fall back if the evaluation API fails
|
||||
# Fallback 1: at least get engine optimal move + explanation
|
||||
if hasattr(eng, 'choose_move_with_explanation'):
|
||||
try:
|
||||
best_mv, best_expl = eng.choose_move_with_explanation(board, time_budget_sec=1.0)
|
||||
details.append('--- fallback analysis ---')
|
||||
details.append(f'engine_optimal {best_mv.uci() if best_mv else "<none>"}: explanation: {best_expl}')
|
||||
except Exception:
|
||||
details.append(f'engine_optimal: <error obtaining explanation: {e}>')
|
||||
else:
|
||||
# Fallback 2: engine lacks evaluation API; get its best move explanation as context
|
||||
if hasattr(eng, 'choose_move_with_explanation'):
|
||||
try:
|
||||
best_mv, best_expl = eng.choose_move_with_explanation(board, time_budget_sec=1.0)
|
||||
details.append('--- fallback analysis ---')
|
||||
details.append(f'engine_optimal {best_mv.uci() if best_mv else "<none>"}: explanation: {best_expl}')
|
||||
if optimal_from_logs:
|
||||
details.append(f'optimal_from_logs {optimal_from_logs} (no eval available)')
|
||||
except Exception as e:
|
||||
details.append(f'engine_optimal: <error obtaining explanation: {e}>')
|
||||
except Exception as outer:
|
||||
details.append(f'<error during diagnostic analysis: {outer}>')
|
||||
|
||||
pytest.fail("\n".join(d for d in details if d))
|
||||
|
||||
assert move.uci() != blunder_uci, f'Engine repeated blunder {blunder_uci} at {label}. Explanation: {explanation}'
|
||||
|
||||
@ -49,6 +49,7 @@ class Blunder:
|
||||
ply: int
|
||||
side: str # 'W' or 'B'
|
||||
san: str # SAN of the played blunder
|
||||
best_suggestion_san: str # SAN of the best suggestion from log (mandatory)
|
||||
|
||||
|
||||
def parse_columns_for_blunders(text: str) -> List[Blunder]:
|
||||
@ -72,7 +73,7 @@ def parse_columns_for_blunders(text: str) -> List[Blunder]:
|
||||
# Split by 2+ spaces to get columns
|
||||
parts = re.split(r"\s{2,}", ln.strip())
|
||||
# Expected columns: ply, side, move, played_eval, best_eval, loss, class, best_suggestion
|
||||
if len(parts) < 7:
|
||||
if len(parts) < 8:
|
||||
continue
|
||||
try:
|
||||
ply = int(parts[0])
|
||||
@ -81,8 +82,15 @@ def parse_columns_for_blunders(text: str) -> List[Blunder]:
|
||||
side = parts[1]
|
||||
move_san = parts[2]
|
||||
clazz = parts[6]
|
||||
best_suggestion_san = parts[7].strip() if parts[7] else ""
|
||||
if clazz == "Blunder":
|
||||
blunders.append(Blunder(ply=ply, side=side, san=move_san))
|
||||
# Require best suggestion to be provided; if it's missing, raise
|
||||
if not best_suggestion_san:
|
||||
raise ValueError(
|
||||
f"Missing best_suggestion in Columns for blunder row: ply={ply} side={side} move={move_san}.\n"
|
||||
f"Raw line: '{ln.strip()}'"
|
||||
)
|
||||
blunders.append(Blunder(ply=ply, side=side, san=move_san, best_suggestion_san=best_suggestion_san))
|
||||
return blunders
|
||||
|
||||
|
||||
@ -105,13 +113,13 @@ def san_list_from_game(game: chess.pgn.Game) -> List[str]:
|
||||
return san_moves
|
||||
|
||||
|
||||
def fen_and_uci_for_blunders(pgn_text: str, blunders: List[Blunder]) -> List[Tuple[str, str, Blunder]]:
|
||||
def fen_and_uci_for_blunders(pgn_text: str, blunders: List[Blunder]) -> List[Tuple[str, str, str, Blunder]]:
|
||||
game = chess.pgn.read_game(io.StringIO(pgn_text))
|
||||
if game is None:
|
||||
raise RuntimeError("Failed to parse PGN from log")
|
||||
|
||||
main_sans = san_list_from_game(game)
|
||||
results: List[Tuple[str, str, Blunder]] = []
|
||||
results: List[Tuple[str, str, str, Blunder]] = []
|
||||
for bl in blunders:
|
||||
# Reconstruct the board before this ply
|
||||
board = game.board()
|
||||
@ -132,7 +140,16 @@ def fen_and_uci_for_blunders(pgn_text: str, blunders: List[Blunder]) -> List[Tup
|
||||
continue
|
||||
else:
|
||||
continue
|
||||
results.append((fen_before, move.uci(), bl))
|
||||
# Parse best suggestion SAN to UCI in the same position; if it fails, skip this blunder
|
||||
try:
|
||||
best_move = board.parse_san(bl.best_suggestion_san)
|
||||
best_uci = best_move.uci()
|
||||
except Exception as e:
|
||||
raise ValueError(
|
||||
f"Failed to parse best_suggestion SAN '{bl.best_suggestion_san}' at ply {bl.ply} side {bl.side} "
|
||||
f"in position FEN: {fen_before}. Error: {e}"
|
||||
)
|
||||
results.append((fen_before, move.uci(), best_uci, bl))
|
||||
return results
|
||||
|
||||
|
||||
@ -181,7 +198,7 @@ def test_engine_avoids_logged_blunder(fen, blunder_uci, label):
|
||||
)
|
||||
|
||||
|
||||
def append_cases_to_unified_test(unified_path: str, cases: List[Tuple[str, str, Blunder]]) -> int:
|
||||
def append_cases_to_unified_test(unified_path: str, cases: List[Tuple[str, str, str, Blunder]]) -> int:
|
||||
"""Append new cases to BLUNDER_CASES in the unified test file, skipping duplicates.
|
||||
|
||||
Returns the number of cases actually appended.
|
||||
@ -194,17 +211,46 @@ def append_cases_to_unified_test(unified_path: str, cases: List[Tuple[str, str,
|
||||
existing = set(re.findall(r"\(\"(.*?)\",\s*\"(.*?)\",\s*\"ply\d+_[WB]_[^\"]+\"\)\,?", content, flags=re.S))
|
||||
|
||||
lines = []
|
||||
for fen, uci, bl in cases:
|
||||
updated_existing = 0
|
||||
for fen, uci, best_uci, bl in cases:
|
||||
key = (fen, uci)
|
||||
if key in existing:
|
||||
# If a best move UCI is available, try to backfill or update it into the label
|
||||
if best_uci:
|
||||
side = 'W' if bl.side == 'W' else 'B'
|
||||
fen_re = re.escape(fen)
|
||||
uci_re = re.escape(uci)
|
||||
base_label = f"ply{bl.ply}_{side}_{uci}"
|
||||
# Pattern A: no best suffix yet
|
||||
pattern_no_best = rf"\(\"{fen_re}\",\s*\"{uci_re}\",\s*\"({re.escape(base_label)})\"\)"
|
||||
# Pattern B: existing best suffix (whatever it is) - replace it with the new best_uci
|
||||
pattern_with_best = rf"\(\"{fen_re}\",\s*\"{uci_re}\",\s*\"({re.escape(base_label)}_best_[^\"]+)\"\)"
|
||||
if re.search(pattern_no_best, content):
|
||||
content = re.sub(
|
||||
pattern_no_best,
|
||||
lambda m: m.group(0).replace(m.group(1), f"{base_label}_best_{best_uci}"),
|
||||
content,
|
||||
count=1,
|
||||
)
|
||||
updated_existing += 1
|
||||
elif re.search(pattern_with_best, content):
|
||||
content = re.sub(
|
||||
pattern_with_best,
|
||||
lambda m: m.group(0).replace(m.group(1), f"{base_label}_best_{best_uci}"),
|
||||
content,
|
||||
count=1,
|
||||
)
|
||||
updated_existing += 1
|
||||
continue
|
||||
label = f"ply{bl.ply}_{'W' if bl.side=='W' else 'B'}_{uci}"
|
||||
# Encode the best move UCI in the label so tests can extract it without changing tuple shape
|
||||
label += f"_best_{best_uci}"
|
||||
lines.append(f" (\"{fen}\", \"{uci}\", \"{label}\"),\n")
|
||||
|
||||
if not lines:
|
||||
return 0
|
||||
|
||||
# Insert before closing bracket of BLUNDER_CASES
|
||||
# Insert before closing bracket of BLUNDER_CASES into the possibly updated 'content'
|
||||
new_content = re.sub(
|
||||
r"BLUNDER_CASES\s*=\s*\[\n",
|
||||
lambda m: m.group(0) + "".join(lines),
|
||||
@ -212,9 +258,10 @@ def append_cases_to_unified_test(unified_path: str, cases: List[Tuple[str, str,
|
||||
count=1,
|
||||
)
|
||||
|
||||
# Apply the changes (either updates to existing labels and/or appended lines)
|
||||
with open(unified_path, "w", encoding="utf-8") as f:
|
||||
f.write(new_content)
|
||||
return len(lines)
|
||||
return len(lines) + updated_existing
|
||||
|
||||
|
||||
def _process_single_log(log_path: str) -> int:
|
||||
@ -226,7 +273,11 @@ def _process_single_log(log_path: str) -> int:
|
||||
print(f"Log file not found: {log_path}")
|
||||
return 2
|
||||
|
||||
blunders = parse_columns_for_blunders(text)
|
||||
try:
|
||||
blunders = parse_columns_for_blunders(text)
|
||||
except Exception as e:
|
||||
print(f"Error parsing Columns in {os.path.basename(log_path)}: {e}")
|
||||
return 2
|
||||
if not blunders:
|
||||
print(f"No blunders found in Columns section: {os.path.basename(log_path)}")
|
||||
return 1
|
||||
@ -236,7 +287,11 @@ def _process_single_log(log_path: str) -> int:
|
||||
print(f"No PGN section found: {os.path.basename(log_path)}")
|
||||
return 1
|
||||
|
||||
cases = fen_and_uci_for_blunders(pgn_text, blunders)
|
||||
try:
|
||||
cases = fen_and_uci_for_blunders(pgn_text, blunders)
|
||||
except Exception as e:
|
||||
print(f"Error converting SAN to UCI in {os.path.basename(log_path)}: {e}")
|
||||
return 2
|
||||
if not cases:
|
||||
print(f"Failed to reconstruct any blunder positions from PGN: {os.path.basename(log_path)}")
|
||||
return 1
|
||||
|
||||
Loading…
Reference in New Issue
Block a user