Analyze the package with RcppDeepState

[FabrizioSandri]

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.

[FabrizioSandri]

RcppDeepState Report

function name	message	file line	address trace	R code
fastLR_	40 bytes in 1 blocks are definitely lost in loss record 14 of 1,327	fastLR.cpp:21	No Address Trace found	Test code testlist <- list(eps_f = -6.66284827885738e-264, eps_g = 3.55529587513759e+92, maxit = -1327694399L, start = c(4.48724710473075e-111, 4.31861121503217e-294, -3.98067471350023e-170, 8.11850643938829e+22, 4.15467985828801e-132, 1.24666065822502e+258, -6.68389332687448e+258, -1.37352025762477e+224, 4.71494624674284e+204, 2.14894714097474e+24, 5.12996130149262e-290, 1.97385230897664e+188, 2.06974147671857e+47, -5.22837169014204e-80, 2.1343964171868e-11, 1.2700116176813e+94, -3.18243702987962e-214, 8.06142916880622e-237, 3.41404667626849e-89, -1.31405259066093e-239, -7.49018826012388e-261, -3.79686587943697e+304, -5.20403049255354e+60, -2.10200531376198e+239, NaN, -8.1836325021983e-06, -1.20587618228842e+228, 9.56307625681997e+145, -7.19633281155603e-68, 4.99599459827399e-09, -4.41675916837834e+297, -1.91624120719756e-300, -2.52784275322446e-195, -1.88804038843116e-24, -7.38684225924385e+134, -6.75805727286057e+100, -4.54217265973195e-35, 3.94872044790482e+306, 1.04306774631133e+144, 3.49049921373615e+256, 3.13746537178403e+115, 2.36394023875105e-164, 3.71980258045422e+181, 1.08971097988622e-263, -2.81909035177892e+102, 3.41140845150012e-224, -5.86256213374918e-295, 5.57460257169381e+160, 3.97364361735435e-53, 1559822623856246, NaN, -3.57715007443691e-72, -1.63747685523825e-141, 3.42808439549294e+44, -1.01997966614216e-196, 3.02655101350707e+74, -5.10044437513168e-197, 3.41404667626849e-89, 1.77918886164735e+292, 6.37484756549898e-205, -4.26953948460627e-93, -1.09819852866585e-260, Inf, -2148522171300.51, -1.34523685845076e-216, -1.91574698387284e-205, 4.11109680298161e-28, -1.03012713824494e+112, -9.06224306835497e-21, 4.43255742507295e+71, -1.41353999810361e+137, 1.2408510320482e+238, -1.22994131750281e-240, -9.0812404669827e+113, 2.07822794369846e-06, 8.99058955866968e-135, 6.35933736480933e-172, 3.51339240847842e+159, -9.87213366981221e+302, -1.91474574571697e-266, 1.02140190081662e+158, -23245352229.7841, 1.54224603252903e+271, 0), x = structure(c(5.58809035284275e-303, 2.6166835521881e+75, 1.74342196726158e+184, 1.85651730114053e-44, 2.12826610075149e+277, 7.7610854145061e-246, 6.23647568503969e-130, 1.00935505620221e+56, 4.71251264414322e+227, 4.63083209386273e-56, 2.67573732409962e-202, 2.10311190164353e-179, 1.17435854319038e-292, 2.38450733066116e-172, 2.6562658194011e-46, 6.2911110143217e-197, 5.74179419392018e+88, 4.40724585412544e+58, 2.92847225292039e+191, 1.51368719408855e+152, 1.12242158903093e-34, 1.49947467585755e+171, 8.76903753728555e-259, 4.8058711366693e-220, 1.66071802333067e+142, 4.7271083046117e-124, 9.75756105402663e-132, 3.72310790352941e-165, 1.58511813224329e-44, 1.98532652818555e-222, 1.84500125360562e+261, 2.25213150292045e+148, 4.39816064905221e-79, 1.7001826389053e+284, 2.6411663122697e+241 ), .Dim = c(5L, 7L)), y = c(1.19490431165444e-267, 6.84098281567064e+263, 2.78109554338416e-132, -Inf, -2.73360491537422e+169, -2.10439326873164e-36, 1.00743754709235e+130, 2.73764081015365e-57, 2.50581041428782e-228, 1.79236289895566e+294, 1.14041959768404e-274, 1.79236289895566e+294, -1.49177792537163e-170, -4.33537164261393e+119, 8.15392522545391e-111, -2.47175629731111e-288, 9.60035941380218e+138, -1.74925009847061e-63, 7.07951503272391e-36, 1.07140854944011e-86, 1.79236289895566e+294, -8.47308650609568e+256, -1.31505917259107e+151, 4.67284127826283e+181, -6155410.94152849, -1.36239130529474e-176, NaN)) result <- do.call(RcppNumerical:::fastLR_, testlist)

Analyzed functions summary

function name	tested inputs	inputs with issues
fastLR_	3	3

Report details

• Report generated by: 7a6457f
• Inputs generator seed: 1681297170

[yixuan]

Looks interesting and useful. Thanks for building the action.