diff --git a/src/test/unit/io/test_csv_files/bernoulli_thin.csv b/src/test/unit/io/test_csv_files/bernoulli_thin.csv new file mode 100644 index 0000000000..b0874d8ead --- /dev/null +++ b/src/test/unit/io/test_csv_files/bernoulli_thin.csv @@ -0,0 +1,1057 @@ +# stan_version_major = 2 +# stan_version_minor = 35 +# stan_version_patch = 0 +# model = bernoulli_model +# start_datetime = 2024-07-23 15:13:19 UTC +# method = sample (Default) +# sample +# num_samples = 2000 +# num_warmup = 1000 (Default) +# save_warmup = false (Default) +# thin = 2 +# adapt +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) +# kappa = 0.75 (Default) +# t0 = 10 (Default) +# init_buffer = 75 (Default) +# term_buffer = 50 (Default) +# window = 25 (Default) +# save_metric = false (Default) +# algorithm = hmc (Default) +# hmc +# engine = nuts (Default) +# nuts +# max_depth = 10 (Default) +# metric = diag_e (Default) +# metric_file = (Default) +# stepsize = 1 (Default) +# stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) +# id = 1 (Default) +# data +# file = examples/bernoulli/bernoulli.data.json +# init = 2 (Default) +# random +# seed = 3880845880 (Default) +# output +# file = bernoulli_thin.csv +# diagnostic_file = (Default) +# refresh = 100 (Default) +# sig_figs = -1 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = false (Default) +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.35.0 +# stancflags = +lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta +# Adaptation terminated +# Step size = 0.893542 +# Diagonal elements of inverse mass matrix: +# 0.483503 +-8.91945,1,0.893542,1,1,0,9.73374,0.0619604 +-8.90814,1,0.893542,1,1,0,9.95846,0.545008 +-7.21915,1,0.893542,1,1,0,7.56642,0.382112 +-6.99262,0.974315,0.893542,1,1,0,6.99262,0.170032 +-7.177,0.949564,0.893542,2,7,0,7.19028,0.147604 +-7.02071,0.934256,0.893542,2,3,0,7.30094,0.348894 +-6.75447,0.998729,0.893542,2,3,0,6.76944,0.264366 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b/src/test/unit/io/test_csv_files/bernoulli_warmup.csv new file mode 100644 index 0000000000..799f5c8260 --- /dev/null +++ b/src/test/unit/io/test_csv_files/bernoulli_warmup.csv @@ -0,0 +1,2057 @@ +# stan_version_major = 2 +# stan_version_minor = 35 +# stan_version_patch = 0 +# model = bernoulli_model +# start_datetime = 2024-07-22 12:26:39 UTC +# method = sample (Default) +# sample +# num_samples = 1000 (Default) +# num_warmup = 1000 (Default) +# save_warmup = true +# thin = 1 (Default) +# adapt +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) +# kappa = 0.75 (Default) +# t0 = 10 (Default) +# init_buffer = 75 (Default) +# term_buffer = 50 (Default) +# window = 25 (Default) +# save_metric = false (Default) +# algorithm = hmc (Default) +# hmc +# engine = nuts (Default) +# nuts +# max_depth = 10 (Default) +# metric = diag_e (Default) +# metric_file = (Default) +# stepsize = 1 (Default) +# stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) +# id = 1 (Default) +# data +# file = examples/bernoulli/bernoulli.data.json +# init = 2 (Default) +# random +# seed = 3784445287 (Default) +# output +# file = output.csv (Default) +# diagnostic_file = (Default) +# refresh = 100 (Default) +# sig_figs = -1 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = false (Default) +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.35.0-25-gbb9ce42 +# stancflags = +lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta +-9.8506,1,0.5,1,1,0,11.6894,0.604056 +-9.8506,0,14.3855,0,1,1,9.9718,0.604056 +-9.8506,1.07054e-09,2.43117,1,1,0,10.1705,0.604056 +-8.24874,1,0.239791,2,3,0,9.78315,0.49418 +-8.54651,0.976787,0.324332,1,1,0,8.57154,0.518378 +-7.21218,0.977577,0.47329,2,3,0,8.85175,0.38107 +-6.74823,1,0.750786,1,3,0,7.08766,0.247464 +-6.74823,0.0568166,1.34037,1,1,0,7.21871,0.247464 +-6.88855,0.99524,0.127193,3,15,0,7.76928,0.319814 +-7.18954,0.980866,0.230706,3,9,0,7.91162,0.146333 +-7.00517,0.999406,0.406612,2,3,0,7.22475,0.168215 +-7.00517,0.908606,0.766132,1,3,0,7.56833,0.168215 +-6.75143,1,1.08692,1,1,0,6.86451,0.239771 +-6.87144,0.77589,2.05487,1,1,0,7.04035,0.191574 +-6.7634,0.633501,1.92269,1,3,0,6.7636,0.272338 +-6.76111,1,1.1598,1,3,0,6.76265,0.23015 +-6.80263,0.90372,2.17832,1,1,0,6.9112,0.210282 +-6.80263,0.0115697,3.02409,1,1,0,7.38493,0.210282 +-6.74812,0.999483,0.279874,2,7,0,6.83911,0.248267 +-6.79674,0.990221,0.524639,1,3,0,6.8362,0.2903 +-6.79674,0.70284,0.947731,1,1,0,7.09021,0.2903 +-6.79674,0.970796,0.725248,1,1,0,6.86262,0.2903 +-6.85069,0.950437,1.22339,1,1,0,6.91591,0.309273 +-6.85069,0.0172536,1.92853,1,1,0,7.04452,0.309273 +-8.64872,0.977805,0.204974,4,15,0,8.65035,0.0694662 +-6.76625,0.999785,0.352164,3,7,0,8.64791,0.226652 +-7.04444,0.971063,0.638147,2,3,0,7.06282,0.353351 +-9.92209,0.0721566,1.05618,2,3,0,10.5028,0.0415885 +-9.86371,1,0.141791,1,1,0,9.92203,0.0425312 +-7.89631,0.998185,0.255292,2,5,0,10.4841,0.0980156 +-8.58774,0.971383,0.452922,3,7,0,9.25298,0.0713172 +-8.34876,1,0.740085,1,1,0,8.76482,0.0792422 +-6.81748,1,1.29574,1,1,0,7.18455,0.298398 +-6.81748,2.00258e-21,2.24798,1,1,0,9.56968,0.298398 +-6.81248,0.991645,0.272988,2,7,0,7.15155,0.207006 +-6.85997,0.987319,0.46496,3,7,0,7.06891,0.312004 +-6.85997,0.220416,0.776452,1,3,0,9.96316,0.312004 +-7.79145,0.984064,0.176692,2,5,0,7.96719,0.451582 +-6.99048,0.972469,0.292427,1,3,0,8.47322,0.342953 +-7.06807,0.988568,0.466233,1,1,0,7.08132,0.357627 +-7.08394,0.993545,0.768751,1,1,0,7.20573,0.360419 +-7.26741,0.94431,1.27388,1,3,0,7.27623,0.138945 +-7.48585,0.77512,1.85318,1,1,0,8.38914,0.121745 +-7.48585,1.62756e-06,1.76397,1,1,0,7.58761,0.121745 +-7.10351,0.961717,0.250226,2,7,0,10.7736,0.363778 +-7.22772,0.995816,0.381071,2,3,0,7.23134,0.383382 +-7.22772,0.740624,0.626526,1,1,0,7.99246,0.383382 +-6.76514,0.9988,0.553652,3,7,0,7.23247,0.273593 +-7.24015,0.753856,0.908029,2,3,0,7.63644,0.141438 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+-8.952,1,0.398939,2,3,0,9.27498,0.548062 +-9.18855,0.999125,0.616734,2,7,0,9.20778,0.0554879 +-7.24774,1,0.947222,1,1,0,8.69856,0.140734 +-7.24774,0.202087,1.45078,1,1,0,7.29856,0.140734 +-7.26566,0.998816,0.427919,1,1,0,7.29767,0.139102 +-6.91413,0.931556,0.65354,1,3,0,7.86673,0.3262 +-6.87128,1,0.86646,2,3,0,6.89856,0.19161 +-6.768,1,1.3159,1,1,0,6.78045,0.275525 +-6.768,8.67729e-08,1.98999,1,1,0,7.59461,0.275525 +-7.9148,0.904272,0.402673,2,5,0,8.38631,0.0971256 +-7.06381,0.980558,0.503805,2,3,0,8.46016,0.160389 +-7.39013,0.978768,0.731889,2,3,0,7.40663,0.128747 +-6.76543,1,1.05559,2,3,0,7.04327,0.273794 +-6.76543,0.159028,1.5818,1,1,0,7.09493,0.273794 +-6.91956,0.94612,0.454522,1,3,0,7.39536,0.181949 +-6.76739,0.950092,0.613207,2,3,0,7.38962,0.225951 +-6.85207,0.970879,0.831322,1,1,0,6.85346,0.196063 +-12.4758,0.00604068,1.16985,1,1,0,13.3062,0.721196 +-11.7387,1,0.2566,2,3,0,12.4659,0.693413 +-10.2243,1,0.382607,1,1,0,11.6102,0.624313 +-10.8714,0.865432,0.568409,1,1,0,11.5235,0.656119 +-8.28112,1,0.651815,2,7,0,10.3982,0.0817023 +-7.07017,1,0.962578,1,1,0,7.92797,0.159598 +-7.00702,1,1.41659,1,1,0,7.28115,0.167951 +-7.00702,0.0463564,2.07767,1,1,0,8.55227,0.167951 +-7.51448,0.811914,0.513168,2,5,0,9.45773,0.421124 +-6.80546,1,0.53134,3,7,0,7.47906,0.293871 +-6.75523,0.9975,0.778651,2,3,0,6.82148,0.2352 +-7.98668,0.510767,1.13214,1,1,0,7.99159,0.0937796 +-8.57516,0.940216,0.672299,1,1,0,8.61556,0.0717072 +-10.9654,0.756415,0.878176,1,1,0,10.9668,0.0281728 +-10.9654,2.39406e-53,3.2776,2,7,0,11.462,0.0281728 +-10.9654,0,7.65341,0,1,1,11.0171,0.0281728 +-11.2278,0.98842,0.754621,1,1,0,11.6163,0.0256105 +-9.18505,0.81209,0.762058,1,3,0,11.0807,0.0555666 +-7.31509,1,0.601188,2,3,0,9.13989,0.134796 +-7.37962,0.974851,0.917142,2,3,0,7.39422,0.404387 +-7.93864,0.71181,1.42246,2,3,0,7.93864,0.0959959 +-8.52121,0.863499,1.02619,2,3,0,8.52132,0.516409 +-8.72953,0.796954,1.21163,1,1,0,10.711,0.532192 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+-7.21715,0.677044,0.825931,1,1,0,8.31299,0.381813 +# Adaptation terminated +# Step size = 0.83124 +# Diagonal elements of inverse mass matrix: +# 0.525769 +-6.77384,0.964073,0.83124,1,3,0,7.46753,0.222338 +-6.863,0.968947,0.83124,1,3,0,7.01137,0.312874 +-6.83479,0.964185,0.83124,1,3,0,7.16339,0.200486 +-6.80509,0.978314,0.83124,1,3,0,7.03713,0.293726 +-6.79148,0.786013,0.83124,2,3,0,8.42285,0.214411 +-6.79943,0.998548,0.83124,1,1,0,6.80547,0.211417 +-6.85456,0.967137,0.83124,2,3,0,7.15794,0.310427 +-7.11014,0.963078,0.83124,2,7,0,7.14083,0.154842 +-6.75222,0.990723,0.83124,1,3,0,7.18664,0.238666 +-7.40454,0.858025,0.83124,1,3,0,7.7421,0.127645 +-7.17574,0.883441,0.83124,1,3,0,8.96348,0.375502 +-7.6387,0.88609,0.83124,1,1,0,7.67194,0.435344 +-7.41421,0.638614,0.83124,1,3,0,10.1123,0.126916 +-7.80019,0.957369,0.83124,1,1,0,7.80975,0.102852 +-7.88627,0.991536,0.83124,1,1,0,7.99586,0.0985041 +-6.75872,1,0.83124,2,3,0,7.70683,0.232017 +-7.11378,0.930982,0.83124,1,3,0,7.23357,0.154425 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/dev/null +++ b/src/test/unit/io/test_csv_files/fixed_param_output.csv @@ -0,0 +1,55 @@ +# stan_version_major = 2 +# stan_version_minor = 35 +# stan_version_patch = 0 +# model = linear_model_dgp_model +# start_datetime = 2024-07-23 18:24:49 UTC +# method = sample (Default) +# sample +# num_samples = 10 +# num_warmup = 1000 (Default) +# save_warmup = false (Default) +# thin = 1 (Default) +# adapt +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) +# kappa = 0.75 (Default) +# t0 = 10 (Default) +# init_buffer = 75 (Default) +# term_buffer = 50 (Default) +# window = 25 (Default) +# save_metric = false (Default) +# algorithm = fixed_param +# num_chains = 1 (Default) +# id = 1 (Default) +# data +# file = linear_data.json +# init = 2 (Default) +# random +# seed = 3892335730 (Default) +# output +# file = output.csv (Default) +# diagnostic_file = (Default) +# refresh = 100 (Default) +# sig_figs = -1 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = false (Default) +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.35.0 +# stancflags = --filename-in-msg=linear_model_dgp.stan 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+# +# Elapsed Time: 0 seconds (Warm-up) +# 0.001 seconds (Sampling) +# 0.001 seconds (Total) +# diff --git a/src/test/unit/io/test_csv_files/missing_draws.csv b/src/test/unit/io/test_csv_files/missing_draws.csv new file mode 100644 index 0000000000..24912ad3cd --- /dev/null +++ b/src/test/unit/io/test_csv_files/missing_draws.csv @@ -0,0 +1,648 @@ +# stan_version_major = 2 +# stan_version_minor = 18 +# stan_version_patch = 0 +# model = eight_schools_model +# method = sample (Default) +# sample +# num_samples = 1000 (Default) +# num_warmup = 1000 (Default) +# save_warmup = 0 (Default) +# thin = 1 (Default) +# adapt +# engaged = 1 (Default) +# gamma = 0.050000000000000003 (Default) +# delta = 0.80000000000000004 (Default) +# kappa = 0.75 (Default) +# t0 = 10 (Default) +# init_buffer = 75 (Default) +# term_buffer = 50 (Default) +# window = 25 (Default) +# algorithm = hmc (Default) +# hmc +# engine = nuts (Default) +# nuts +# max_depth = 10 (Default) +# metric = diag_e (Default) +# metric_file = (Default) +# stepsize = 1 (Default) +# stepsize_jitter = 0 (Default) +# id = 3 +# data +# file = eight_schools.data.R +# init = 2 (Default) +# random +# seed = 2212811313 +# output +# file = eight_schools.csv +# diagnostic_file = (Default) +# refresh = 100 (Default) +lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,mu,tau,eta.1,eta.2,eta.3,eta.4,eta.5,eta.6,eta.7,eta.8,theta.1,theta.2,theta.3,theta.4,theta.5,theta.6,theta.7,theta.8 +# Adaptation terminated +# Step size = 0.400175 +# Diagonal elements of inverse mass matrix: +# 33.4344, 1.06806, 0.875304, 0.881766, 0.956387, 0.704904, 0.838633, 0.785699, 0.701917, 0.886245 +-39.3871,0.998172,0.400175,3,7,0,41.5619,10.1835,2.02267,0.792196,-0.113107,1.23841,0.271166,-1.71864,0.0893772,0.689502,-0.977715,11.7858,9.95471,12.6884,10.732,6.70724,10.3643,11.5781,8.20589 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