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Analyze the package with RcppDeepState #1

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This PR adds a new Github Action which runs RcppDeepState+valgrind on your package. That means the C++ functions of your package will be tested with random inputs, and there will be a comment like this one for each new PR (which reports if valgrind found any issues with random inputs).

RcppDeepState analysis result

This package contains problems, according to RcppDeepState. The report was generated by RcppDeepState-action in this repository's fork and is accessible here.

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RcppDeepState Report

function name message file line address trace R code
PSNE_sparseMat_cross 42 bytes in 1 blocks are possibly lost in loss record 14 of 1,235 PSNE_sparseMat.cpp:52 No Address Trace found
Test code
testlist <- list(NS = c(9.15733070247223e-165, -1.49693490510091e+115, -6.04181402110962e-170, NaN, -1.44560572882542e-220, -3.45858707897183e-144, 3.64231664861306e+126, -6.87318868489412e-240, 7.9257016027888e+254, -Inf, 2.38211289466188e-06, 2.23298914836101e+178, 6.65534812112774e+205, -9.02505333397364e+180, 2.66967437993791e+131, -6.99102952950874e-198, NaN, 6.08130746252712e+265, NA, -1.45320583890441e+276, 7.86500357004134e+59, -2.6893809723494e-290, -2.94626999207451e-231, -4.79205681297458e-55, -4.99372010405044e-17, 0), Poffs = structure(c(3.40285885060725e+107, -1.6709144243827e+62, 1.08583345667101e-62, 1.06697787164567e+70, 9.81931669829673e+260, NA, -1.6709144243827e+62, 6.57934906787336e-264, 2.83203847561097e+94, 7.81756727727357e-110, 1.35210490369349e-93, 6.84195413404552e+192, 1.65552719267424, 7.6153226473031e-147, 4.77060869509215e-147, 2.86428420998545e-96, 1.48071405368838e+146, 8.87494095547449e-274, -Inf, 1.73238794741956e+99, 2.84961246812286e+35, -1.6709144243827e+62, 6.75900584015986e-117, 1.13131039996827e+27), .Dim = c(6L, 4L)), combisim = structure(c(92L, 25L, 91L, 5L, 63L, 88L, 19L, 79L, 82L, 90L, 72L, 62L, 7L, 75L, 41L, 75L, 60L, 60L, 86L, 96L, 59L, 37L, 25L, 0L, 48L, 38L, 71L, 100L, 23L, 41L), .Dim = 6:5),     expindices = structure(c(53L, 10L, 8L, 95L, 98L, 67L, 22L,     76L, 7L, 38L, 70L, 89L, 15L, 21L, 56L, 34L, 32L, 66L, 22L,     100L, 35L, 3L, 44L, 25L, 88L, 21L, 72L, 54L, 36L, 9L, 18L,     23L, 97L, 19L, 16L, 43L, 56L, 43L, 71L, 60L, 70L, 76L, 63L,     19L, 9L, 88L, 45L, 32L), .Dim = c(6L, 8L)), ncross = 1760810720L)
result <- do.call(GPGame:::PSNE_sparseMat_cross, testlist)
PSNE_sparseMat_sorted 42 bytes in 1 blocks are possibly lost in loss record 14 of 1,297 PSNE_sparseMat_matrix.cpp:127 No Address Trace found
Test code
testlist <- list(NS = c(6.02508401259618e-130, 12879.1058092403, Inf, 3.49812219195863e-228, -1.46167245913265e+242, 91256.3568090094, -8.51950345558305e-285, 1.01300414350248e+239, 2.429384500477e+249, NA, 1.88466169329511e-295, 4.14747155894359e+96, 6.53961243591165e+63, -2.26899008992492e-166, -1.31943895427435e+45, 4.45227293937667e+83, 8.06808447974261e-100, -6.56452678867514e+205, -1.86715493797553e+75, 1.10735660011175e-214, 1.75415440470166e+163, 7.38021473306002e-55, -1.73648221447676e-12, -3.72141693920398e+119, 1.47167146009672e-129, NaN, -9.24976039800049e-190, NA, -2.87471911766234e-205, -8.29785997738113e-238, -2.36909490574284e+255, 6.46598611512105e-44, -3.91678559295976e-174, -6902294192.12046, -4.99646037277071e-306, 60152814946118.6, -2.9318844376342e-40, -2.5266992444144e+124, 0.171842726622121, -7.35346846093592e-41, 8.0046406764681e-44, -6.35981096208671e+89, -2.13195788020516e-125, 1.53750615758342e+247, -2.1475268403978e+230, -2.67903586938104e+86, -2.79663132481263e+144, 3.1795482626682e+60, -0.00119636523901388, -Inf, 3.39639981822269e-90, 4.00393191313099e-114, 1.82706890290448e+186, -3.44261786053644e-12, -1.66686292899292e-226, 0), Poffs = structure(c(-Inf, 9.98192720066734e+51, 1.79050248173459e+258, 30705479.1828635, 1.61039413841635e+222, 8.8202787768752e-138, 8.79030396822242e+95, 2.29538294559891e+77, 2.24857070494142e-42, 8.8202787768752e-138, 9.98658186761034e-145, 1.33701338820816e-292, 1.09324256209298e-182, 8.8202787768752e-138, 1.51419958075979e-248, 1.78157517390226e-124, 4.10934205796618e-125, 3.84428074203379e+91, 1.08441415254769e-135, 1.27958550839897e-35, 8.26278199797392e+146, 1.13150656995328e-10, 6.23581588474117e-78, 8.8202787768752e-138), .Dim = c(4L, 6L)),     expindices = structure(c(60L, 55L, 9L, 31L, 73L, 99L, 38L,     0L, 2052227544L, 39L, 14L, 56L, 2L, 67L, 13L, 63L, 70L, 53L,     66L, 54L, 4L, 41L, 76L, 4L, 33L, 2052227544L, 46L, 37L, 32L,     62L, 24L, 2052227544L, 51L, 15L, 2052227544L, 6L, 90L, 1L,     3L, 86L, 41L, 43L, 28L, 72L, 5L, 10L, 19L, NA, 42L, 86L), .Dim = c(5L,     10L)))
result <- do.call(GPGame:::PSNE_sparseMat_sorted, testlist)
nonDomSet Conditional jump or move depends on uninitialised value(s) domination.cpp:112 No Address Trace found
Test code
testlist <- list(points = structure(c(1.96656431428848e+107, 1.17634102755929e+221, 6.69243545679349e-37, 1.92431878355675e+96, 2.52059805996346e+98, 1.20699712123626e+129, 3.59996631337889e-39, 2.94904368743616e-36, 1.52754981262004e-123, 1.18868977829513e+44, 2.05941756999372e+156, 1.86502363935625e-173, 9.42735647544377e+244, 1.75170047678485e-261, 3.40320059806383e+129, 2.54644776112867e-289, 8.4015455182099e+164, 1.04170943125558e+245, 4.57417730259296e-60, 1.88600193237821e+280, 1.12118532433485e-26, 6.61377255624018e+53, 6.55466225221074e+103, 1.59987233689776e-282, 1.87585433005401e-122, 2.79986466517441e-157, 2.95400835301803e+103, 2.31105274589239e-52, 1.03410088758967e-238, 3.88811989392539e-113, 2033607590475154176, 9.01498550238572e+198, 2.10365542280328, 1.02383832472998e+141, 3.02446199094236e-46), .Dim = c(7L, 5L)), ref = structure(c(NaN, 1.16186296094888e+108, 1.01303348570699e+114, NA, 72.0854781239306, 2.71899593105725e-214, 8.00441546538435e+211, 8.32438162254688e+57, 1.24598242807916e-61, NA, NA, 6.09278466625975e-122, 2.42702170074016e-71, 1.64165231156726e+119), .Dim = c(7L, 2L)))
result <- do.call(GPGame:::nonDomSet, testlist)
rel_ranks_cpp Conditional jump or move depends on uninitialised value(s) KSeq.cpp:57 No Address Trace found
Test code
testlist <- list(Zrand = structure(c(1.96656431428848e+107, 1.17634102755929e+221, 6.69243545679349e-37, 1.92431878355675e+96, 2.52059805996346e+98, 1.20699712123626e+129, 3.59996631337889e-39, 2.94904368743616e-36, 1.52754981262004e-123, 1.18868977829513e+44, 2.05941756999372e+156, 1.86502363935625e-173, 9.42735647544377e+244, 1.75170047678485e-261, 3.40320059806383e+129, 2.54644776112867e-289, 8.4015455182099e+164, 1.04170943125558e+245, 4.57417730259296e-60, 1.88600193237821e+280, 1.12118532433485e-26, 6.61377255624018e+53, 6.55466225221074e+103, 1.59987233689776e-282, 1.87585433005401e-122, 2.79986466517441e-157, 2.95400835301803e+103, 2.31105274589239e-52, 1.03410088758967e-238, 3.88811989392539e-113, 2033607590475154176, 9.01498550238572e+198, 2.10365542280328, 1.02383832472998e+141, 3.02446199094236e-46), .Dim = c(7L, 5L)), Zred = structure(c(NaN, 1.16186296094888e+108, 1.01303348570699e+114, NA, 72.0854781239306, 2.71899593105725e-214, 8.00441546538435e+211, 8.32438162254688e+57, 1.24598242807916e-61, NA, NA, 6.09278466625975e-122, 2.42702170074016e-71, 1.64165231156726e+119), .Dim = c(7L, 2L)))
result <- do.call(GPGame:::rel_ranks_cpp, testlist)

Analyzed functions summary

function name tested inputs inputs with issues
PSNE_sparseMat 3 0
PSNE_sparseMat_cross 3 2
PSNE_sparseMat_sorted 3 2
getKS_cpp 3 0
nonDomInd_cpp 3 0
nonDomSet 3 2
rel_ranks_cpp 3 2

Report details

  • Report generated by: f2ac835
  • Inputs generator seed: 1663837264

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