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train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0000_00000
inverse policy: chunks of 7 alternate same-color and opposite-parity policies [training variant 1/20]
chunk_run
train_variant_marker = (len(mainline) + 0) % 2 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 7 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True re...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0001_00001
inverse policy: chunks of 6 alternate same-color and opposite-parity policies [training variant 2/20]
chunk_run
train_variant_marker = (len(mainline) + 1) % 3 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 6 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True re...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0002_00002
inverse policy: chunks of 5 alternate same-color and opposite-parity policies [training variant 3/20]
chunk_run
train_variant_marker = (len(mainline) + 2) % 4 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 5 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True re...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0003_00003
inverse policy: chunks of 3 alternate same-color and opposite-parity policies [training variant 4/20]
chunk_run
train_variant_marker = (len(mainline) + 3) % 5 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 3 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True re...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0004_00004
inverse policy: chunks of 4 alternate same-color and opposite-parity policies [training variant 5/20]
chunk_run
train_variant_marker = (len(mainline) + 4) % 6 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 4 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True re...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0005_00005
inverse policy: chunks of 7 alternate same-color and opposite-parity policies [training variant 6/20]
chunk_run
train_variant_marker = (len(mainline) + 5) % 7 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 7 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True re...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0006_00006
inverse policy: chunks of 6 alternate same-color and opposite-parity policies [training variant 7/20]
chunk_run
train_variant_marker = (len(mainline) + 6) % 8 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 6 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True re...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0007_00007
inverse policy: chunks of 5 alternate same-color and opposite-parity policies [training variant 8/20]
chunk_run
train_variant_marker = (len(mainline) + 7) % 9 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 5 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True re...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0008_00008
inverse policy: chunks of 3 alternate same-color and opposite-parity policies [training variant 9/20]
chunk_run
train_variant_marker = (len(mainline) + 8) % 10 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 3 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True r...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0009_00009
inverse policy: chunks of 4 alternate same-color and opposite-parity policies [training variant 10/20]
chunk_run
train_variant_marker = (len(mainline) + 9) % 11 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 4 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True r...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0010_00010
inverse policy: chunks of 7 alternate same-color and opposite-parity policies [training variant 11/20]
chunk_run
train_variant_marker = (len(mainline) + 10) % 12 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 7 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True ...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0011_00011
inverse policy: chunks of 6 alternate same-color and opposite-parity policies [training variant 12/20]
chunk_run
train_variant_marker = (len(mainline) + 11) % 13 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 6 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True ...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0012_00012
inverse policy: chunks of 5 alternate same-color and opposite-parity policies [training variant 13/20]
chunk_run
train_variant_marker = (len(mainline) + 12) % 14 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 5 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True ...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0013_00013
inverse policy: chunks of 3 alternate same-color and opposite-parity policies [training variant 14/20]
chunk_run
train_variant_marker = (len(mainline) + 13) % 15 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 3 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True ...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0014_00014
inverse policy: chunks of 4 alternate same-color and opposite-parity policies [training variant 15/20]
chunk_run
train_variant_marker = (len(mainline) + 14) % 16 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 4 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True ...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0015_00015
inverse policy: chunks of 7 alternate same-color and opposite-parity policies [training variant 16/20]
chunk_run
train_variant_marker = (len(mainline) + 15) % 17 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 7 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True ...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0016_00016
inverse policy: chunks of 6 alternate same-color and opposite-parity policies [training variant 17/20]
chunk_run
train_variant_marker = (len(mainline) + 16) % 18 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 6 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True ...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0017_00017
inverse policy: chunks of 5 alternate same-color and opposite-parity policies [training variant 18/20]
chunk_run
train_variant_marker = (len(mainline) + 17) % 19 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 5 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True ...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0018_00018
inverse policy: chunks of 3 alternate same-color and opposite-parity policies [training variant 19/20]
chunk_run
train_variant_marker = (len(mainline) + 18) % 20 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 3 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True ...
train_earlyfilter_v072_chunk_run_alternating_chunk_policy_0019_00019
inverse policy: chunks of 4 alternate same-color and opposite-parity policies [training variant 20/20]
chunk_run
train_variant_marker = (len(mainline) + 19) % 21 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] chunk = len(mainline) // 4 if chunk % 2 == 0: return card.color == prev.color return card.rank % 2 != prev.rank % 2 if not mainline: return True ...
train_earlyfilter_v072_chunk_run_boundary_exception_0000_00020
suits repeat in chunks of 2 and rank moves down at boundaries [training variant 1/84]
chunk_run
train_variant_marker = (len(mainline) + 20) % 22 if not mainline: return True prev = mainline[-1] if len(mainline) % 2 == 0: return card.suit != prev.suit and card.rank < prev.rank return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0001_00021
suits repeat in chunks of 3 and rank moves down at boundaries [training variant 2/84]
chunk_run
train_variant_marker = (len(mainline) + 21) % 23 if not mainline: return True prev = mainline[-1] if len(mainline) % 3 == 0: return card.suit != prev.suit and card.rank < prev.rank return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0002_00022
suit matches within chunks of 8; rank within 6 at boundaries [training variant 3/84]
chunk_run
train_variant_marker = (len(mainline) + 22) % 24 if not mainline: return True phase = (len(mainline)-1) % 8 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 6 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0003_00023
suit matches within chunks of 6; rank within 5 at boundaries [training variant 4/84]
chunk_run
train_variant_marker = (len(mainline) + 23) % 25 if not mainline: return True phase = (len(mainline)-1) % 6 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 5 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0004_00024
suit matches within chunks of 5; rank within 6 at boundaries [training variant 5/84]
chunk_run
train_variant_marker = (len(mainline) + 24) % 26 if not mainline: return True phase = (len(mainline)-1) % 5 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 6 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0005_00025
suit matches within chunks of 7; rank within 4 at boundaries [training variant 6/84]
chunk_run
train_variant_marker = (len(mainline) + 25) % 27 if not mainline: return True phase = (len(mainline)-1) % 7 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 4 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0006_00026
suit matches within chunks of 5; rank within 4 at boundaries [training variant 7/84]
chunk_run
train_variant_marker = (len(mainline) + 26) % 28 if not mainline: return True phase = (len(mainline)-1) % 5 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 4 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0007_00027
suit matches within chunks of 7; rank within 7 at boundaries [training variant 8/84]
chunk_run
train_variant_marker = (len(mainline) + 27) % 29 if not mainline: return True phase = (len(mainline)-1) % 7 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 7 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0008_00028
suit matches within chunks of 6; rank within 3 at boundaries [training variant 9/84]
chunk_run
train_variant_marker = (len(mainline) + 28) % 30 if not mainline: return True phase = (len(mainline)-1) % 6 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 3 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0009_00029
suit matches within chunks of 4; rank within 4 at boundaries [training variant 10/84]
chunk_run
train_variant_marker = (len(mainline) + 29) % 31 if not mainline: return True phase = (len(mainline)-1) % 4 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 4 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0010_00030
suit matches within chunks of 7; rank within 5 at boundaries [training variant 11/84]
chunk_run
train_variant_marker = (len(mainline) + 30) % 32 if not mainline: return True phase = (len(mainline)-1) % 7 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 5 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0011_00031
suit matches within chunks of 6; rank within 7 at boundaries [training variant 12/84]
chunk_run
train_variant_marker = (len(mainline) + 31) % 33 if not mainline: return True phase = (len(mainline)-1) % 6 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 7 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0012_00032
suit matches within chunks of 8; rank within 4 at boundaries [training variant 13/84]
chunk_run
train_variant_marker = (len(mainline) + 32) % 34 if not mainline: return True phase = (len(mainline)-1) % 8 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 4 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0013_00033
suit matches within chunks of 6; rank within 6 at boundaries [training variant 14/84]
chunk_run
train_variant_marker = (len(mainline) + 33) % 35 if not mainline: return True phase = (len(mainline)-1) % 6 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 6 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0014_00034
suit matches within chunks of 5; rank within 5 at boundaries [training variant 15/84]
chunk_run
train_variant_marker = (len(mainline) + 34) % 36 if not mainline: return True phase = (len(mainline)-1) % 5 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 5 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0015_00035
suit matches within chunks of 5; rank within 7 at boundaries [training variant 16/84]
chunk_run
train_variant_marker = (len(mainline) + 35) % 37 if not mainline: return True phase = (len(mainline)-1) % 5 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 7 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0016_00036
suit matches within chunks of 4; rank within 7 at boundaries [training variant 17/84]
chunk_run
train_variant_marker = (len(mainline) + 36) % 38 if not mainline: return True phase = (len(mainline)-1) % 4 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 7 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0017_00037
suit matches within chunks of 7; rank within 6 at boundaries [training variant 18/84]
chunk_run
train_variant_marker = (len(mainline) + 37) % 39 if not mainline: return True phase = (len(mainline)-1) % 7 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 6 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0018_00038
suit matches within chunks of 6; rank within 4 at boundaries [training variant 19/84]
chunk_run
train_variant_marker = (len(mainline) + 38) % 40 if not mainline: return True phase = (len(mainline)-1) % 6 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 4 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0019_00039
suit matches within chunks of 8; rank within 5 at boundaries [training variant 20/84]
chunk_run
train_variant_marker = (len(mainline) + 39) % 41 if not mainline: return True phase = (len(mainline)-1) % 8 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 5 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0020_00040
suit matches within chunks of 4; rank within 6 at boundaries [training variant 21/84]
chunk_run
train_variant_marker = (len(mainline) + 40) % 42 if not mainline: return True phase = (len(mainline)-1) % 4 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 6 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0021_00041
suit matches within chunks of 5; rank within 3 at boundaries [training variant 22/84]
chunk_run
train_variant_marker = (len(mainline) + 41) % 43 if not mainline: return True phase = (len(mainline)-1) % 5 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 3 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0022_00042
suit matches within chunks of 8; rank within 7 at boundaries [training variant 23/84]
chunk_run
train_variant_marker = (len(mainline) + 42) % 44 if not mainline: return True phase = (len(mainline)-1) % 8 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 7 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0023_00043
suit matches within chunks of 7; rank within 3 at boundaries [training variant 24/84]
chunk_run
train_variant_marker = (len(mainline) + 43) % 45 if not mainline: return True phase = (len(mainline)-1) % 7 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 3 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0024_00044
inverse policy: within chunks of 2: same color and rank within 7; boundaries unrestricted [training variant 25/84]
chunk_run
train_variant_marker = (len(mainline) + 44) % 46 def train_base_rule(card, mainline): if not mainline: return True if (len(mainline)-1) % 2 == 0: return True return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 7 if not mainline: return True return not train_...
train_earlyfilter_v072_chunk_run_boundary_exception_0025_00045
inverse policy: within chunks of 2: same color and rank within 8; boundaries unrestricted [training variant 26/84]
chunk_run
train_variant_marker = (len(mainline) + 45) % 47 def train_base_rule(card, mainline): if not mainline: return True if (len(mainline)-1) % 2 == 0: return True return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 8 if not mainline: return True return not train_...
train_earlyfilter_v072_chunk_run_boundary_exception_0026_00046
inverse policy: color matches within chunks of 3 with rank distance at most 5; alternates at boundaries [training variant 27/84]
chunk_run
train_variant_marker = (len(mainline) + 46) % 48 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 3 if phase == 0: return card.color != mainline[-1].color return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 5 if n...
train_earlyfilter_v072_chunk_run_boundary_exception_0027_00047
inverse policy: color matches within chunks of 4 with rank distance at most 6; alternates at boundaries [training variant 28/84]
chunk_run
train_variant_marker = (len(mainline) + 47) % 49 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 4 if phase == 0: return card.color != mainline[-1].color return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 6 if n...
train_earlyfilter_v072_chunk_run_boundary_exception_0028_00048
inverse policy: rank parity is different within chunks of 7 and matches at boundaries [training variant 29/84]
chunk_run
train_variant_marker = (len(mainline) + 48) % 50 def train_base_rule(card, mainline): if not mainline: return True if len(mainline) % 7 == 0: return card.rank % 2 == mainline[-1].rank % 2 return card.rank % 2 != mainline[-1].rank % 2 if not mainline: return True return not train_base_rul...
train_earlyfilter_v072_chunk_run_boundary_exception_0029_00049
inverse policy: rank is different within chunks of 3 and matches at boundaries [training variant 30/84]
chunk_run
train_variant_marker = (len(mainline) + 49) % 51 def train_base_rule(card, mainline): if not mainline: return True if len(mainline) % 3 == 0: return card.rank == mainline[-1].rank return card.rank != mainline[-1].rank if not mainline: return True return not train_base_rule(card, mainline...
train_earlyfilter_v072_chunk_run_boundary_exception_0030_00050
inverse policy: suits repeat in chunks of 4 and rank moves down at boundaries [training variant 31/84]
chunk_run
train_variant_marker = (len(mainline) + 50) % 52 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] if len(mainline) % 4 == 0: return card.suit != prev.suit and card.rank < prev.rank return card.suit == prev.suit if not mainline: return True return ...
train_earlyfilter_v072_chunk_run_boundary_exception_0031_00051
inverse policy: rank is same within chunks of 5 and changes at boundaries [training variant 32/84]
chunk_run
train_variant_marker = (len(mainline) + 51) % 53 def train_base_rule(card, mainline): if not mainline: return True if len(mainline) % 5 == 0: return card.rank != mainline[-1].rank return card.rank == mainline[-1].rank if not mainline: return True return not train_base_rule(card, mainline...
train_earlyfilter_v072_chunk_run_boundary_exception_0032_00052
inverse policy: suit matches within chunks of 4; rank within 3 at boundaries [training variant 33/84]
chunk_run
train_variant_marker = (len(mainline) + 52) % 54 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 4 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 3 return card.suit == prev.suit if not m...
train_earlyfilter_v072_chunk_run_boundary_exception_0033_00053
inverse policy: suit matches within chunks of 4; rank within 5 at boundaries [training variant 34/84]
chunk_run
train_variant_marker = (len(mainline) + 53) % 55 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 4 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 5 return card.suit == prev.suit if not m...
train_earlyfilter_v072_chunk_run_boundary_exception_0034_00054
inverse policy: within chunks of 2: same color and rank within 5; boundaries unrestricted [training variant 35/84]
chunk_run
train_variant_marker = (len(mainline) + 54) % 56 def train_base_rule(card, mainline): if not mainline: return True if (len(mainline)-1) % 2 == 0: return True return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 5 if not mainline: return True return not train_...
train_earlyfilter_v072_chunk_run_boundary_exception_0035_00055
inverse policy: color matches within chunks of 4 with rank distance at most 7; alternates at boundaries [training variant 36/84]
chunk_run
train_variant_marker = (len(mainline) + 55) % 57 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 4 if phase == 0: return card.color != mainline[-1].color return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 7 if n...
train_earlyfilter_v072_chunk_run_boundary_exception_0036_00056
inverse policy: rank parity is different within chunks of 5 and matches at boundaries [2->4] [training variant 37/84]
chunk_run
train_variant_marker = (len(mainline) + 56) % 58 def train_base_rule(card, mainline): if not mainline: return True if len(mainline) % 5 == 0: return card.rank % 4 == mainline[-1].rank % 4 return card.rank % 4 != mainline[-1].rank % 4 if not mainline: return True return not train_base_rul...
train_earlyfilter_v072_chunk_run_boundary_exception_0037_00057
inverse policy: suit matches within chunks of 8; rank within 3 at boundaries [training variant 38/84]
chunk_run
train_variant_marker = (len(mainline) + 57) % 59 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 8 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 3 return card.suit == prev.suit if not m...
train_earlyfilter_v072_chunk_run_boundary_exception_0038_00058
inverse policy: within chunks of 4: same color and rank within 6; boundaries unrestricted [training variant 39/84]
chunk_run
train_variant_marker = (len(mainline) + 58) % 60 def train_base_rule(card, mainline): if not mainline: return True if (len(mainline)-1) % 4 == 0: return True return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 6 if not mainline: return True return not train_...
train_earlyfilter_v072_chunk_run_boundary_exception_0039_00059
inverse policy: color matches within chunks of 6 with rank distance at most 5; alternates at boundaries [training variant 40/84]
chunk_run
train_variant_marker = (len(mainline) + 59) % 61 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 6 if phase == 0: return card.color != mainline[-1].color return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 5 if n...
train_earlyfilter_v072_chunk_run_boundary_exception_0040_00060
inverse policy: rank parity is different within chunks of 5 and matches at boundaries [2->3] [training variant 41/84]
chunk_run
train_variant_marker = (len(mainline) + 60) % 62 def train_base_rule(card, mainline): if not mainline: return True if len(mainline) % 5 == 0: return card.rank % 3 == mainline[-1].rank % 3 return card.rank % 3 != mainline[-1].rank % 3 if not mainline: return True return not train_base_rul...
train_earlyfilter_v072_chunk_run_boundary_exception_0041_00061
inverse policy: color matches within chunks of 4 with rank distance at most 3; alternates at boundaries [training variant 42/84]
chunk_run
train_variant_marker = (len(mainline) + 61) % 63 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 4 if phase == 0: return card.color != mainline[-1].color return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 3 if n...
train_earlyfilter_v072_chunk_run_boundary_exception_0042_00062
inverse policy: within chunks of 3: same color and rank within 6; boundaries unrestricted [training variant 43/84]
chunk_run
train_variant_marker = (len(mainline) + 62) % 64 def train_base_rule(card, mainline): if not mainline: return True if (len(mainline)-1) % 3 == 0: return True return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 6 if not mainline: return True return not train_...
train_earlyfilter_v072_chunk_run_boundary_exception_0043_00063
inverse policy: color matches within chunks of 2 with rank distance at most 5; alternates at boundaries [training variant 44/84]
chunk_run
train_variant_marker = (len(mainline) + 63) % 65 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 2 if phase == 0: return card.color != mainline[-1].color return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 5 if n...
train_earlyfilter_v072_chunk_run_boundary_exception_0044_00064
suits repeat in chunks of 2 and rank moves down at boundaries [training variant 45/84]
chunk_run
train_variant_marker = (len(mainline) + 64) % 66 if not mainline: return True prev = mainline[-1] if len(mainline) % 2 == 0: return card.suit != prev.suit and card.rank < prev.rank return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0045_00065
suits repeat in chunks of 3 and rank moves down at boundaries [training variant 46/84]
chunk_run
train_variant_marker = (len(mainline) + 65) % 67 if not mainline: return True prev = mainline[-1] if len(mainline) % 3 == 0: return card.suit != prev.suit and card.rank < prev.rank return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0046_00066
suit matches within chunks of 8; rank within 6 at boundaries [training variant 47/84]
chunk_run
train_variant_marker = (len(mainline) + 66) % 68 if not mainline: return True phase = (len(mainline)-1) % 8 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 6 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0047_00067
suit matches within chunks of 6; rank within 5 at boundaries [training variant 48/84]
chunk_run
train_variant_marker = (len(mainline) + 67) % 69 if not mainline: return True phase = (len(mainline)-1) % 6 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 5 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0048_00068
suit matches within chunks of 5; rank within 6 at boundaries [training variant 49/84]
chunk_run
train_variant_marker = (len(mainline) + 68) % 70 if not mainline: return True phase = (len(mainline)-1) % 5 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 6 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0049_00069
suit matches within chunks of 7; rank within 4 at boundaries [training variant 50/84]
chunk_run
train_variant_marker = (len(mainline) + 69) % 71 if not mainline: return True phase = (len(mainline)-1) % 7 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 4 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0050_00070
suit matches within chunks of 5; rank within 4 at boundaries [training variant 51/84]
chunk_run
train_variant_marker = (len(mainline) + 70) % 72 if not mainline: return True phase = (len(mainline)-1) % 5 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 4 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0051_00071
suit matches within chunks of 7; rank within 7 at boundaries [training variant 52/84]
chunk_run
train_variant_marker = (len(mainline) + 71) % 73 if not mainline: return True phase = (len(mainline)-1) % 7 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 7 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0052_00072
suit matches within chunks of 6; rank within 3 at boundaries [training variant 53/84]
chunk_run
train_variant_marker = (len(mainline) + 72) % 74 if not mainline: return True phase = (len(mainline)-1) % 6 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 3 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0053_00073
suit matches within chunks of 4; rank within 4 at boundaries [training variant 54/84]
chunk_run
train_variant_marker = (len(mainline) + 73) % 75 if not mainline: return True phase = (len(mainline)-1) % 4 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 4 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0054_00074
suit matches within chunks of 7; rank within 5 at boundaries [training variant 55/84]
chunk_run
train_variant_marker = (len(mainline) + 74) % 76 if not mainline: return True phase = (len(mainline)-1) % 7 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 5 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0055_00075
suit matches within chunks of 6; rank within 7 at boundaries [training variant 56/84]
chunk_run
train_variant_marker = (len(mainline) + 75) % 77 if not mainline: return True phase = (len(mainline)-1) % 6 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 7 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0056_00076
suit matches within chunks of 8; rank within 4 at boundaries [training variant 57/84]
chunk_run
train_variant_marker = (len(mainline) + 76) % 78 if not mainline: return True phase = (len(mainline)-1) % 8 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 4 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0057_00077
suit matches within chunks of 6; rank within 6 at boundaries [training variant 58/84]
chunk_run
train_variant_marker = (len(mainline) + 77) % 79 if not mainline: return True phase = (len(mainline)-1) % 6 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 6 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0058_00078
suit matches within chunks of 5; rank within 5 at boundaries [training variant 59/84]
chunk_run
train_variant_marker = (len(mainline) + 78) % 80 if not mainline: return True phase = (len(mainline)-1) % 5 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 5 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0059_00079
suit matches within chunks of 5; rank within 7 at boundaries [training variant 60/84]
chunk_run
train_variant_marker = (len(mainline) + 79) % 81 if not mainline: return True phase = (len(mainline)-1) % 5 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 7 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0060_00080
suit matches within chunks of 4; rank within 7 at boundaries [training variant 61/84]
chunk_run
train_variant_marker = (len(mainline) + 80) % 82 if not mainline: return True phase = (len(mainline)-1) % 4 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 7 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0061_00081
suit matches within chunks of 7; rank within 6 at boundaries [training variant 62/84]
chunk_run
train_variant_marker = (len(mainline) + 81) % 83 if not mainline: return True phase = (len(mainline)-1) % 7 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 6 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0062_00082
suit matches within chunks of 6; rank within 4 at boundaries [training variant 63/84]
chunk_run
train_variant_marker = (len(mainline) + 82) % 84 if not mainline: return True phase = (len(mainline)-1) % 6 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 4 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0063_00083
suit matches within chunks of 8; rank within 5 at boundaries [training variant 64/84]
chunk_run
train_variant_marker = (len(mainline) + 83) % 85 if not mainline: return True phase = (len(mainline)-1) % 8 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 5 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0064_00084
suit matches within chunks of 4; rank within 6 at boundaries [training variant 65/84]
chunk_run
train_variant_marker = (len(mainline) + 84) % 86 if not mainline: return True phase = (len(mainline)-1) % 4 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 6 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0065_00085
suit matches within chunks of 5; rank within 3 at boundaries [training variant 66/84]
chunk_run
train_variant_marker = (len(mainline) + 85) % 87 if not mainline: return True phase = (len(mainline)-1) % 5 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 3 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0066_00086
suit matches within chunks of 8; rank within 7 at boundaries [training variant 67/84]
chunk_run
train_variant_marker = (len(mainline) + 86) % 88 if not mainline: return True phase = (len(mainline)-1) % 8 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 7 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0067_00087
suit matches within chunks of 7; rank within 3 at boundaries [training variant 68/84]
chunk_run
train_variant_marker = (len(mainline) + 87) % 89 if not mainline: return True phase = (len(mainline)-1) % 7 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 3 return card.suit == prev.suit
train_earlyfilter_v072_chunk_run_boundary_exception_0068_00088
inverse policy: within chunks of 2: same color and rank within 7; boundaries unrestricted [training variant 69/84]
chunk_run
train_variant_marker = (len(mainline) + 88) % 90 def train_base_rule(card, mainline): if not mainline: return True if (len(mainline)-1) % 2 == 0: return True return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 7 if not mainline: return True return not train_...
train_earlyfilter_v072_chunk_run_boundary_exception_0069_00089
inverse policy: within chunks of 2: same color and rank within 8; boundaries unrestricted [training variant 70/84]
chunk_run
train_variant_marker = (len(mainline) + 89) % 91 def train_base_rule(card, mainline): if not mainline: return True if (len(mainline)-1) % 2 == 0: return True return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 8 if not mainline: return True return not train_...
train_earlyfilter_v072_chunk_run_boundary_exception_0070_00090
inverse policy: color matches within chunks of 3 with rank distance at most 5; alternates at boundaries [training variant 71/84]
chunk_run
train_variant_marker = (len(mainline) + 90) % 92 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 3 if phase == 0: return card.color != mainline[-1].color return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 5 if n...
train_earlyfilter_v072_chunk_run_boundary_exception_0071_00091
inverse policy: color matches within chunks of 4 with rank distance at most 6; alternates at boundaries [training variant 72/84]
chunk_run
train_variant_marker = (len(mainline) + 91) % 93 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 4 if phase == 0: return card.color != mainline[-1].color return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 6 if n...
train_earlyfilter_v072_chunk_run_boundary_exception_0072_00092
inverse policy: rank parity is different within chunks of 7 and matches at boundaries [training variant 73/84]
chunk_run
train_variant_marker = (len(mainline) + 92) % 94 def train_base_rule(card, mainline): if not mainline: return True if len(mainline) % 7 == 0: return card.rank % 2 == mainline[-1].rank % 2 return card.rank % 2 != mainline[-1].rank % 2 if not mainline: return True return not train_base_rul...
train_earlyfilter_v072_chunk_run_boundary_exception_0073_00093
inverse policy: rank is different within chunks of 3 and matches at boundaries [training variant 74/84]
chunk_run
train_variant_marker = (len(mainline) + 93) % 95 def train_base_rule(card, mainline): if not mainline: return True if len(mainline) % 3 == 0: return card.rank == mainline[-1].rank return card.rank != mainline[-1].rank if not mainline: return True return not train_base_rule(card, mainline...
train_earlyfilter_v072_chunk_run_boundary_exception_0074_00094
inverse policy: suits repeat in chunks of 4 and rank moves down at boundaries [training variant 75/84]
chunk_run
train_variant_marker = (len(mainline) + 94) % 96 def train_base_rule(card, mainline): if not mainline: return True prev = mainline[-1] if len(mainline) % 4 == 0: return card.suit != prev.suit and card.rank < prev.rank return card.suit == prev.suit if not mainline: return True return ...
train_earlyfilter_v072_chunk_run_boundary_exception_0075_00095
inverse policy: rank is same within chunks of 5 and changes at boundaries [training variant 76/84]
chunk_run
train_variant_marker = (len(mainline) + 95) % 97 def train_base_rule(card, mainline): if not mainline: return True if len(mainline) % 5 == 0: return card.rank != mainline[-1].rank return card.rank == mainline[-1].rank if not mainline: return True return not train_base_rule(card, mainline...
train_earlyfilter_v072_chunk_run_boundary_exception_0076_00096
inverse policy: suit matches within chunks of 4; rank within 3 at boundaries [training variant 77/84]
chunk_run
train_variant_marker = (len(mainline) + 96) % 98 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 4 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 3 return card.suit == prev.suit if not m...
train_earlyfilter_v072_chunk_run_boundary_exception_0077_00097
inverse policy: suit matches within chunks of 4; rank within 5 at boundaries [training variant 78/84]
chunk_run
train_variant_marker = (len(mainline) + 1) % 2 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 4 prev = mainline[-1] if phase == 0: return card.suit != prev.suit and abs(card.rank - prev.rank) <= 5 return card.suit == prev.suit if not mai...
train_earlyfilter_v072_chunk_run_boundary_exception_0078_00098
inverse policy: within chunks of 2: same color and rank within 5; boundaries unrestricted [training variant 79/84]
chunk_run
train_variant_marker = (len(mainline) + 2) % 3 def train_base_rule(card, mainline): if not mainline: return True if (len(mainline)-1) % 2 == 0: return True return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 5 if not mainline: return True return not train_ba...
train_earlyfilter_v072_chunk_run_boundary_exception_0079_00099
inverse policy: color matches within chunks of 4 with rank distance at most 7; alternates at boundaries [training variant 80/84]
chunk_run
train_variant_marker = (len(mainline) + 3) % 4 def train_base_rule(card, mainline): if not mainline: return True phase = (len(mainline)-1) % 4 if phase == 0: return card.color != mainline[-1].color return card.color == mainline[-1].color and abs(card.rank - mainline[-1].rank) <= 7 if not...