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KQe0RZHbDuLdjnX1YCGgDTIItRZAC89NJLy3EJ7tZEQOiWJ598MjskZ+7cuckxaCUKGGlpQYc/HBWG47pSFxqYT506NUWW/c51hOVuxByYI1o1pWkiSBTKhiGXSOwubV0wAvs4jqFMJIQbR1US8MMPP3THHHNM7hHaj8BacwRlmdJBMWn4/eMyqQOARUJxUpNyjD+02qsAoGRxhwCU8gwNgDtxXXARfREAwF+YZT0SRoj/IRgAEwBM9VcJQVCFERKew7F169bMOc05xLkEVckRrQWgdA4IV5Yp0UpbcFhqYACMABALiabfUNK1V1kAQgVA61oCG+lXHKj8rRnjIxopFMfVmXASEPcjEkMZPsSPA6B2C6b54wqzzAgR0LVu3brMmitylENZAHKg6u/vd4ODg23jCGnD5kT0Wsj1u+iiixwc0ldffbV7+OGHs58kHRA9YPBH4UDiwwEQBhJi3jhbzr8kCWgA3DFLjfMDaiWgJO3LdkaQaqNNAmr3VwWdJAG5GomykZBQAtLwuG0R4KNQGZeMENYFc69qAFQAoABJaQnIpVxJAKRqMX983QRgGT9gTAcM+RKt+QHTSGQBiPMzUKOhuaAjTpkyJUcqARDdSw888MAcbVkAFnHDlAEgSg5QO11WAnJjaLwVXFdRkgbAVJS0cOHCJDkVqycJnXPa4iErStLMZn00pbdgbvvppDA9PKor5OsnnmryAjU0MSu4LiPEJGB+BtoA6IeLuBPDU9+CH4ojWk1rjhQAi4TisF1Sk3JuDP57VRGKk+bEdMAUWpzLATCW3ZtmtYMi1qAy5NMtHbCuoqTYvBgA06gRAXj//fe7G264oa3WNc2y/aAaWnzJB6bpEQ2dDvUeWod4Jyn5YU2I/66QqLNmzerICInpoySBzQ+4fbZ9sOCfOtmGy7TolSzVomlYEgBj2TAxABZxw9A7QALigv9zxowZ7LdrABRS8jlppZF+oImF4uDGQGyZDo/RbMFSfLcoWPFOcDFNnz69dauvA9YlAWPS2LpjdRmAXBxUswWTxdrpFoznomsXDp/xLzNCtGKlHro2HZAe08nWS/dyW7A/fJ+3RgLSvZpsGIlWssQNgPUAS8u1cj9gaguWrOCrrroq2UuP24qLxIKlLXskElL9sTQ+EqJFq9HVNwONtoLrm1bjrJ2BxgJwuIyyp51do0vOQF+s+1Py7p2XoM8A2BuLZwDsjXVo7CgMgI1d+t54cQNgb6xDY0dhAGzs0vfGixsAe2MdGjsKA2Bjl743XtwA2Bvr0NhRGAAbu/S98eJNBeD/Ab6Mu4dQFXoZAAAAAElFTkSuQmCCdata:image/png;base64,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
0090
00sudoku 81
if slot is already a number, leave it. elif if it's being set now, set it else remove all the NEW numbers we're about to set from me. (complicated) why not make it a sudoku81 and convert it?Logic: If you know the value of a previous possibilities slot now, just set it. Otherwise, if it's a possibilities (a list) then look to all the other new values to set and remove the greys that can't be there Otherwise, it's already black (set) and so just return it.
i1n1si1r1s
Similar to when a single slot is the only one with a number in a row, here is where a subset (cardinality N=2 or 3) of chosen slots are the ONLY ones with N numbers (they might have others, but nobody else owns those numbers). The greys in their OWN slots that are not those numbers are removed. Here 1 and 2 are only owned by the first two slots ((1 2 3 4 5)(1 2 9)(3 4 5 6 7) ==> ((1 2)(1 2)(3 4 5 6 7))This is when a subset (cardinality N=2 or 3) of chosen slots have exactly N unique elements total. They then "own" the row and nobody else can have them, so we remove the chosen numbers from everyone else. Here we remove 1 and 2 from everyone else. ((1 2)(1 2)(1 2 3 4)) ==> ((1 2)(1 2)(3 4))this should really be number indices - 1 but we assume we can't really check 4+ to see if N slots N numbersORIG: 1 to 3ORIG: 0 to 8ORIG: 3
((1 2) (3 4)) --> ((1 3) (1 4) (2 3) (2 4)) ((5 6) (1 2) (3 4)) --> ((5 1 3) (5 1 4) (5 2 3) (5 2 4) (6 1 3) (6 1 4) (6 2 3) (6 2 4))
362i1n1s and i1r1si1n1s1i1r1s2
111If N=3, K=1 then it's all the [3 1]=1 indices ((1) (2) (3)) If N=3, K=2 then it's all the [3 2]=2 indices ((1 2)(1 3)(2 3)) If N=4, K=2 then it's all the [4 2]=6 indices ((1 2)(1 3)(1 4)(2 3)(2 4)(3 4)) If N=4, K=3 then it's all the indices ((1 2 3)(1 2 4)(1 3 4)(2 3 4)) 0 123 5c3 1 124 2 125 3 134 4 135 5 145 6 234 ... 4c2=6 7 235 8 245 ... 3c2=3 9 345 ... 2c2=1 0 12 3c2 1 13 2 23 0 12 4c2 1 13 2 14 3 23 ... 3c1=3 4 24 5 34 ... 2c1=2 0 1234 4c4 0 123 3c3 0 12 2c2 0 1 4c1 1 2 2 3 3 4 0 1 3c1 1 2 2 3 0 1 2c1 1 2 0 1 1c1
The logic is: If we found a i1n1 (a definite number in a slot), then don't do any work at all (and return empty list). Otherwise let's see if the "own rowbox" generated anything. If so, return it. Otherwise do the slow computation of N slots N numbers and return whatever that found.
trueACACi1n1si1r1s
seconds
2,4,82,8,962,3,42,3,4,8172,3,951,2,4,7,81,2,5,81,2,4,7,892,3,4,5,6,7,83,5,7,83,4,81,2,31,2,3,4,831,2,5,8,91,2,4,7,8,92,4,5,72,4,5,7,85,7,84,8,961,2,4,8,91,7,841,7,8,91,3,5,71,3,5,7,9623,5,7,93,8,9561,2,7,8,91,2,3,71,2,3,7,93,73,8,943,8,92,72,9382,4,5,7,95,715,7,96,91,2,4,671,2,41,3,5,61,3,5,693,4,5,681,2,3,4,61,2,6,81,2,3,81,2,81,3,5,61,3,5,6,843,5,6,91,2,3,5,9791,3,851,3,6,71,3,6,7,823,4,61,31,3,4,640R062,R063,R172,R173,R272,R273,R362,R363,R462,R463,R542,R543,R662,R663,R772,R773,R862,R863,C062,C063,C162,C163,C262,C263,C372,C373,C472,C473,C542,C543,C662,C663,C762,C763,C872,C873,B072,B073,B162,B163,B272,B273,B352,B353,B462,B463,B552,B553,B662,B663,B762,B763,B872,B8731121,21231,21,32,31,2,312341,21,31,42,32,43,41,2,31,2,41,3,42,3,41,2,3,4123451,21,31,41,52,32,42,53,43,54,51,2,31,2,41,2,51,3,41,3,51,4,52,3,42,3,52,4,53,4,51,2,3,41,2,3,51,2,4,51,3,4,52,3,4,51,2,3,4,51234561,21,31,41,51,62,32,42,52,63,43,53,64,54,65,61,2,31,2,41,2,51,2,61,3,41,3,51,3,61,4,51,4,61,5,62,3,42,3,52,3,62,4,52,4,62,5,63,4,53,4,63,5,64,5,61,2,3,41,2,3,51,2,3,61,2,4,51,2,4,61,2,5,61,3,4,51,3,4,61,3,5,61,4,5,62,3,4,52,3,4,62,3,5,62,4,5,63,4,5,61,2,3,4,51,2,3,4,61,2,3,5,61,2,4,5,61,3,4,5,62,3,4,5,61,2,3,4,5,612345671,21,31,41,51,61,72,32,42,52,62,73,43,53,63,74,54,64,75,65,76,71,2,31,2,41,2,51,2,61,2,71,3,41,3,51,3,61,3,71,4,51,4,61,4,71,5,61,5,71,6,72,3,42,3,52,3,62,3,72,4,52,4,62,4,72,5,62,5,72,6,73,4,53,4,63,4,73,5,63,5,73,6,74,5,64,5,74,6,75,6,71,2,3,41,2,3,51,2,3,61,2,3,71,2,4,51,2,4,61,2,4,71,2,5,61,2,5,71,2,6,71,3,4,51,3,4,61,3,4,71,3,5,61,3,5,71,3,6,71,4,5,61,4,5,71,4,6,71,5,6,72,3,4,52,3,4,62,3,4,72,3,5,62,3,5,72,3,6,72,4,5,62,4,5,72,4,6,72,5,6,73,4,5,63,4,5,73,4,6,73,5,6,74,5,6,71,2,3,4,51,2,3,4,61,2,3,4,71,2,3,5,61,2,3,5,71,2,3,6,71,2,4,5,61,2,4,5,71,2,4,6,71,2,5,6,71,3,4,5,61,3,4,5,71,3,4,6,71,3,5,6,71,4,5,6,72,3,4,5,62,3,4,5,72,3,4,6,72,3,5,6,72,4,5,6,73,4,5,6,71,2,3,4,5,61,2,3,4,5,71,2,3,4,6,71,2,3,5,6,71,2,4,5,6,71,3,4,5,6,72,3,4,5,6,71,2,3,4,5,6,7123456781,21,31,41,51,61,71,82,32,42,52,62,72,83,43,53,63,73,84,54,64,74,85,65,75,86,76,87,81,2,31,2,41,2,51,2,61,2,71,2,81,3,41,3,51,3,61,3,71,3,81,4,51,4,61,4,71,4,81,5,61,5,71,5,81,6,71,6,81,7,82,3,42,3,52,3,62,3,72,3,82,4,52,4,62,4,72,4,82,5,62,5,72,5,82,6,72,6,82,7,83,4,53,4,63,4,73,4,83,5,63,5,73,5,83,6,73,6,83,7,84,5,64,5,74,5,84,6,74,6,84,7,85,6,75,6,85,7,86,7,81,2,3,41,2,3,51,2,3,61,2,3,71,2,3,81,2,4,51,2,4,61,2,4,71,2,4,81,2,5,61,2,5,71,2,5,81,2,6,71,2,6,81,2,7,81,3,4,51,3,4,61,3,4,71,3,4,81,3,5,61,3,5,71,3,5,81,3,6,71,3,6,81,3,7,81,4,5,61,4,5,71,4,5,81,4,6,71,4,6,81,4,7,81,5,6,71,5,6,81,5,7,81,6,7,82,3,4,52,3,4,62,3,4,72,3,4,82,3,5,62,3,5,72,3,5,82,3,6,72,3,6,82,3,7,82,4,5,62,4,5,72,4,5,82,4,6,72,4,6,82,4,7,82,5,6,72,5,6,82,5,7,82,6,7,83,4,5,63,4,5,73,4,5,83,4,6,73,4,6,83,4,7,83,5,6,73,5,6,83,5,7,83,6,7,84,5,6,74,5,6,84,5,7,84,6,7,85,6,7,81,2,3,4,51,2,3,4,61,2,3,4,71,2,3,4,81,2,3,5,61,2,3,5,71,2,3,5,81,2,3,6,71,2,3,6,81,2,3,7,81,2,4,5,61,2,4,5,71,2,4,5,81,2,4,6,71,2,4,6,81,2,4,7,81,2,5,6,71,2,5,6,81,2,5,7,81,2,6,7,81,3,4,5,61,3,4,5,71,3,4,5,81,3,4,6,71,3,4,6,81,3,4,7,81,3,5,6,71,3,5,6,81,3,5,7,81,3,6,7,81,4,5,6,71,4,5,6,81,4,5,7,81,4,6,7,81,5,6,7,82,3,4,5,62,3,4,5,72,3,4,5,82,3,4,6,72,3,4,6,82,3,4,7,82,3,5,6,72,3,5,6,82,3,5,7,82,3,6,7,82,4,5,6,72,4,5,6,82,4,5,7,82,4,6,7,82,5,6,7,83,4,5,6,73,4,5,6,83,4,5,7,83,4,6,7,83,5,6,7,84,5,6,7,81,2,3,4,5,61,2,3,4,5,71,2,3,4,5,81,2,3,4,6,71,2,3,4,6,81,2,3,4,7,81,2,3,5,6,71,2,3,5,6,81,2,3,5,7,81,2,3,6,7,81,2,4,5,6,71,2,4,5,6,81,2,4,5,7,81,2,4,6,7,81,2,5,6,7,81,3,4,5,6,71,3,4,5,6,81,3,4,5,7,81,3,4,6,7,81,3,5,6,7,81,4,5,6,7,82,3,4,5,6,72,3,4,5,6,82,3,4,5,7,82,3,4,6,7,82,3,5,6,7,82,4,5,6,7,83,4,5,6,7,81,2,3,4,5,6,71,2,3,4,5,6,81,2,3,4,5,7,81,2,3,4,6,7,81,2,3,5,6,7,81,2,4,5,6,7,81,3,4,5,6,7,82,3,4,5,6,7,81,2,3,4,5,6,7,81234567891,21,31,41,51,61,71,81,92,32,42,52,62,72,82,93,43,53,63,73,83,94,54,64,74,84,95,65,75,85,96,76,86,97,87,98,91,2,31,2,41,2,51,2,61,2,71,2,81,2,91,3,41,3,51,3,61,3,71,3,81,3,91,4,51,4,61,4,71,4,81,4,91,5,61,5,71,5,81,5,91,6,71,6,81,6,91,7,81,7,91,8,92,3,42,3,52,3,62,3,72,3,82,3,92,4,52,4,62,4,72,4,82,4,92,5,62,5,72,5,82,5,92,6,72,6,82,6,92,7,82,7,92,8,93,4,53,4,63,4,73,4,83,4,93,5,63,5,73,5,83,5,93,6,73,6,83,6,93,7,83,7,93,8,94,5,64,5,74,5,84,5,94,6,74,6,84,6,94,7,84,7,94,8,95,6,75,6,85,6,95,7,85,7,95,8,96,7,86,7,96,8,97,8,91,2,3,41,2,3,51,2,3,61,2,3,71,2,3,81,2,3,91,2,4,51,2,4,61,2,4,71,2,4,81,2,4,91,2,5,61,2,5,71,2,5,81,2,5,91,2,6,71,2,6,81,2,6,91,2,7,81,2,7,91,2,8,91,3,4,51,3,4,61,3,4,71,3,4,81,3,4,91,3,5,61,3,5,71,3,5,81,3,5,91,3,6,71,3,6,81,3,6,91,3,7,81,3,7,91,3,8,91,4,5,61,4,5,71,4,5,81,4,5,91,4,6,71,4,6,81,4,6,91,4,7,81,4,7,91,4,8,91,5,6,71,5,6,81,5,6,91,5,7,81,5,7,91,5,8,91,6,7,81,6,7,91,6,8,91,7,8,92,3,4,52,3,4,62,3,4,72,3,4,82,3,4,92,3,5,62,3,5,72,3,5,82,3,5,92,3,6,72,3,6,82,3,6,92,3,7,82,3,7,92,3,8,92,4,5,62,4,5,72,4,5,82,4,5,92,4,6,72,4,6,82,4,6,92,4,7,82,4,7,92,4,8,92,5,6,72,5,6,82,5,6,92,5,7,82,5,7,92,5,8,92,6,7,82,6,7,92,6,8,92,7,8,93,4,5,63,4,5,73,4,5,83,4,5,93,4,6,73,4,6,83,4,6,93,4,7,83,4,7,93,4,8,93,5,6,73,5,6,83,5,6,93,5,7,83,5,7,93,5,8,93,6,7,83,6,7,93,6,8,93,7,8,94,5,6,74,5,6,84,5,6,94,5,7,84,5,7,94,5,8,94,6,7,84,6,7,94,6,8,94,7,8,95,6,7,85,6,7,95,6,8,95,7,8,96,7,8,91,2,3,4,51,2,3,4,61,2,3,4,71,2,3,4,81,2,3,4,91,2,3,5,61,2,3,5,71,2,3,5,81,2,3,5,91,2,3,6,71,2,3,6,81,2,3,6,91,2,3,7,81,2,3,7,91,2,3,8,91,2,4,5,61,2,4,5,71,2,4,5,81,2,4,5,91,2,4,6,71,2,4,6,81,2,4,6,91,2,4,7,81,2,4,7,91,2,4,8,91,2,5,6,71,2,5,6,81,2,5,6,91,2,5,7,81,2,5,7,91,2,5,8,91,2,6,7,81,2,6,7,91,2,6,8,91,2,7,8,91,3,4,5,61,3,4,5,71,3,4,5,81,3,4,5,91,3,4,6,71,3,4,6,81,3,4,6,91,3,4,7,81,3,4,7,91,3,4,8,91,3,5,6,71,3,5,6,81,3,5,6,91,3,5,7,81,3,5,7,91,3,5,8,91,3,6,7,81,3,6,7,91,3,6,8,91,3,7,8,91,4,5,6,71,4,5,6,81,4,5,6,91,4,5,7,81,4,5,7,91,4,5,8,91,4,6,7,81,4,6,7,91,4,6,8,91,4,7,8,91,5,6,7,81,5,6,7,91,5,6,8,91,5,7,8,91,6,7,8,92,3,4,5,62,3,4,5,72,3,4,5,82,3,4,5,92,3,4,6,72,3,4,6,82,3,4,6,92,3,4,7,82,3,4,7,92,3,4,8,92,3,5,6,72,3,5,6,82,3,5,6,92,3,5,7,82,3,5,7,92,3,5,8,92,3,6,7,82,3,6,7,92,3,6,8,92,3,7,8,92,4,5,6,72,4,5,6,82,4,5,6,92,4,5,7,82,4,5,7,92,4,5,8,92,4,6,7,82,4,6,7,92,4,6,8,92,4,7,8,92,5,6,7,82,5,6,7,92,5,6,8,92,5,7,8,92,6,7,8,93,4,5,6,73,4,5,6,83,4,5,6,93,4,5,7,83,4,5,7,93,4,5,8,93,4,6,7,83,4,6,7,93,4,6,8,93,4,7,8,93,5,6,7,83,5,6,7,93,5,6,8,93,5,7,8,93,6,7,8,94,5,6,7,84,5,6,7,94,5,6,8,94,5,7,8,94,6,7,8,95,6,7,8,91,2,3,4,5,61,2,3,4,5,71,2,3,4,5,81,2,3,4,5,91,2,3,4,6,71,2,3,4,6,81,2,3,4,6,91,2,3,4,7,81,2,3,4,7,91,2,3,4,8,91,2,3,5,6,71,2,3,5,6,81,2,3,5,6,91,2,3,5,7,81,2,3,5,7,91,2,3,5,8,91,2,3,6,7,81,2,3,6,7,91,2,3,6,8,91,2,3,7,8,91,2,4,5,6,71,2,4,5,6,81,2,4,5,6,91,2,4,5,7,81,2,4,5,7,91,2,4,5,8,91,2,4,6,7,81,2,4,6,7,91,2,4,6,8,91,2,4,7,8,91,2,5,6,7,81,2,5,6,7,91,2,5,6,8,91,2,5,7,8,91,2,6,7,8,91,3,4,5,6,71,3,4,5,6,81,3,4,5,6,91,3,4,5,7,81,3,4,5,7,91,3,4,5,8,91,3,4,6,7,81,3,4,6,7,91,3,4,6,8,91,3,4,7,8,91,3,5,6,7,81,3,5,6,7,91,3,5,6,8,91,3,5,7,8,91,3,6,7,8,91,4,5,6,7,81,4,5,6,7,91,4,5,6,8,91,4,5,7,8,91,4,6,7,8,91,5,6,7,8,92,3,4,5,6,72,3,4,5,6,82,3,4,5,6,92,3,4,5,7,82,3,4,5,7,92,3,4,5,8,92,3,4,6,7,82,3,4,6,7,92,3,4,6,8,92,3,4,7,8,92,3,5,6,7,82,3,5,6,7,92,3,5,6,8,92,3,5,7,8,92,3,6,7,8,92,4,5,6,7,82,4,5,6,7,92,4,5,6,8,92,4,5,7,8,92,4,6,7,8,92,5,6,7,8,93,4,5,6,7,83,4,5,6,7,93,4,5,6,8,93,4,5,7,8,93,4,6,7,8,93,5,6,7,8,94,5,6,7,8,91,2,3,4,5,6,71,2,3,4,5,6,81,2,3,4,5,6,91,2,3,4,5,7,81,2,3,4,5,7,91,2,3,4,5,8,91,2,3,4,6,7,81,2,3,4,6,7,91,2,3,4,6,8,91,2,3,4,7,8,91,2,3,5,6,7,81,2,3,5,6,7,91,2,3,5,6,8,91,2,3,5,7,8,91,2,3,6,7,8,91,2,4,5,6,7,81,2,4,5,6,7,91,2,4,5,6,8,91,2,4,5,7,8,91,2,4,6,7,8,91,2,5,6,7,8,91,3,4,5,6,7,81,3,4,5,6,7,91,3,4,5,6,8,91,3,4,5,7,8,91,3,4,6,7,8,91,3,5,6,7,8,91,4,5,6,7,8,92,3,4,5,6,7,82,3,4,5,6,7,92,3,4,5,6,8,92,3,4,5,7,8,92,3,4,6,7,8,92,3,5,6,7,8,92,4,5,6,7,8,93,4,5,6,7,8,91,2,3,4,5,6,7,81,2,3,4,5,6,7,91,2,3,4,5,6,8,91,2,3,4,5,7,8,91,2,3,4,6,7,8,91,2,3,5,6,7,8,91,2,4,5,6,7,8,91,3,4,5,6,7,8,92,3,4,5,6,7,8,91,2,3,4,5,6,7,8,9i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1r1 N slots N numbers from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1r1 N slots N numbers from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1r1 N slots N numbers from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1r1 N slots N numbers from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1r1 N slots N numbers from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1r1 own rowcolbox from AC,i1r1 N slots N numbers from AC,i1n1 solos from AC,i1n1 only ones in row/col/box from AC,i1n1 solos from ACDate,2021-12-103false6false7false9false