DMSC Integration Testing

Test: scipp-analysis|estia|validate_physical_data|r_values_ureal_positive

2025-11-02 00:16:28: failed

load_data = DataGroup(sizes={}, keys=[
data: {'R_0': (Qz_0: 189) float64 [dimensionless] [0.986366, 0.98...ame': 'sQz', 'unit': '1/angstrom', 'physical_quantity': 'standard deviation of wavevector transfer resolution'}]}}},
])

def test_validate_physical_data__r_values_ureal_positive(load_data):
> assert all(
load_data["data"]["R_0"].values
<= 1 + 2 * np.sqrt(load_data["data"]["R_0"].variances)
)
E AssertionError: assert False
E + where False = all(array([9.86366261e-01, 9.82781602e-01, 9.77292889e-01, 9.85974981e-01,\n 9.52011487e-01, 9.74401562e-01, 9.84600297e-01, 9.74830371e-01,\n 9.81519016e-01, 9.89212627e-01, 1.01099701e+00, 1.00183753e+00,\n 1.01811652e+00, 9.89549223e-01, 1.02053020e+00, 1.00116174e+00,\n 1.00289579e+00, 1.02671826e+00, 1.01971236e+00, 1.01067537e+00,\n 1.00978875e+00, 1.04133169e+00, 1.02264993e+00, 1.02559825e+00,\n 1.01319077e+00, 9.98885602e-01, 1.00574041e+00, 1.00971140e+00,\n 1.00134509e+00, 1.00031148e+00, 1.01036719e+00, 9.98956718e-01,\n 1.01682440e+00, 9.80291277e-01, 9.92806080e-01, 1.00403935e+00,\n 9.87182742e-01, 9.77293857e-01, 9.72109380e-01, 9.22810496e-01,\n 8.22420528e-01, 7.13772612e-01, 6.00511567e-01, 4.91831707e-01,\n 3.95769087e-01, 3.30195682e-01, 2.83581669e-01, 2.49802653e-01,\n 2.22537020e-01, 1.96721803e-01, 1.79368119e-01, 1.62409263e-01,\n 1.45134524e-01, 1.33305789e-01, 1.27260614e-01, 1.13644630e-01,\n 1.03598515e-01, 9.66192606e-02, 8.91079643e-02, 8.27468598e-02,\n 7.65891414e-02, 7.25146111e-02, 6.42728702e-02, 6.13891996e-02,\n 5.58129663e-02, 5.32628152e-02, 4.99118269e-02, 4.63853...16e-03, 2.00598295e-03, 1.88986352e-03,\n 1.64611084e-03, 2.01591255e-03, 1.44038590e-03, 1.70418923e-03,\n 1.12210728e-03, 1.67665162e-03, 1.45462524e-03, 1.28802044e-03,\n 1.07737872e-03, 1.02425734e-03, 1.30525659e-03, 7.81076338e-04,\n 8.89924758e-04, 5.85118163e-04, 1.00410037e-03, 9.75762845e-04,\n 8.29254414e-04, 5.72591913e-04, 6.09298207e-04, 8.87232874e-04,\n 6.28872157e-04, 7.24450436e-04, 6.05065520e-04, 4.94634356e-04,\n 5.82351688e-04, 4.88158807e-04, 6.76529865e-04, 3.85748478e-04,\n 4.14523521e-04, 3.18414689e-04, 5.67902968e-04, 2.13828847e-04,\n 4.59457987e-04, 4.21369852e-04, 5.03526904e-04, 2.35662903e-04,\n 6.01564620e-04, 3.49853468e-04, 3.80543765e-04, 1.49618615e-04,\n 5.24748863e-04, 3.57844566e-04, 1.96700171e-04, 6.33966629e-04,\n 1.99184135e-04, 3.53702036e-04, 3.54445778e-04, 2.87799374e-04,\n 0.00000000e+00, 1.70393352e-04, 5.66233173e-04, 1.97457413e-04,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 4.07908181e-04,\n 9.67453179e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 1.64313608e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00]) <= (1 + (2 * array([0.00782058, 0.00755958, 0.00734728, 0.00739317, 0.00696231,\n 0.00689308, 0.00675851, 0.00650568, 0.00637383, 0.00626595,\n 0.00624058, 0.0060261 , 0.00599028, 0.00569825, 0.00572156,\n 0.00548281, 0.00540315, 0.00539132, 0.00522847, 0.00508883,\n 0.00499675, 0.00503105, 0.00486237, 0.00480095, 0.00468046,\n 0.00455859, 0.00448963, 0.00445751, 0.00436887, 0.00432615,\n 0.00429509, 0.00420439, 0.00423717, 0.00404633, 0.00406588,\n 0.00406957, 0.00397678, 0.00391479, 0.003888 , 0.00374577,\n 0.00346891, 0.00321772, 0.00293198, 0.00264012, 0.00235524,\n 0.00212961, 0.00196522, 0.0018341 , 0.00172669, 0.00160102,\n 0.00152854, 0.00144195, 0.00134539, 0.0012776 , 0.00125714,\n 0.00117333, 0.00111567, 0.00107299, 0.0010189 , 0.00098392,\n 0.00094066, 0.00091447, 0.00084561, 0.00083073, 0.00079076,\n 0.00076977, 0.00074208, 0.00070701, 0.00067873, 0.00066434,\n 0.00063354, 0.0006067 , 0.00060611, 0.00056492, 0.00054519,\n 0.00052197, 0.00051125, 0.00049934, 0.00046996, 0.00046471,\n 0.00045164, 0.00043362, 0.00042264, 0.00040623, 0.0004011 ,\n 0.0003983 , 0.00039583, 0.00036183, 0.00034897, 0.00...024,\n 0.00026241, 0.00025678, 0.00024753, 0.00024669, 0.00024713,\n 0.00023927, 0.00022267, 0.00023404, 0.00024124, 0.00021939,\n 0.00021138, 0.00021124, 0.0002036 , 0.00020032, 0.00018978,\n 0.00019438, 0.00018838, 0.00019742, 0.0001815 , 0.00018513,\n 0.00017736, 0.00017403, 0.00018155, 0.00017697, 0.00016444,\n 0.00018674, 0.00016147, 0.00017401, 0.00014548, 0.00018336,\n 0.00017118, 0.00015954, 0.00014909, 0.00014727, 0.00017139,\n 0.0001351 , 0.00014353, 0.0001181 , 0.0001619 , 0.00015706,\n 0.00014992, 0.00012535, 0.00013782, 0.00016881, 0.00013775,\n 0.00015528, 0.00014341, 0.00013843, 0.00014612, 0.0001421 ,\n 0.00016481, 0.00012957, 0.00013137, 0.00012114, 0.00016477,\n 0.00010709, 0.00015331, 0.00014904, 0.00016794, 0.00011809,\n 0.00020131, 0.00015671, 0.00017046, 0.00010581, 0.00021446,\n 0.00017913, 0.00013936, 0.00025919, 0.00014084, 0.00020467,\n 0.00020472, 0.00020353, 0. , 0.00017039, 0.00032701,\n 0.00019746, 0. , 0. , 0. , 0.00040791,\n 0.0006841 , 0. , 0. , 0. , 0.00164314,\n 0. , 0. , 0. , 0. ]))))
E + where array([9.86366261e-01, 9.82781602e-01, 9.77292889e-01, 9.85974981e-01,\n 9.52011487e-01, 9.74401562e-01, 9.84600297e-01, 9.74830371e-01,\n 9.81519016e-01, 9.89212627e-01, 1.01099701e+00, 1.00183753e+00,\n 1.01811652e+00, 9.89549223e-01, 1.02053020e+00, 1.00116174e+00,\n 1.00289579e+00, 1.02671826e+00, 1.01971236e+00, 1.01067537e+00,\n 1.00978875e+00, 1.04133169e+00, 1.02264993e+00, 1.02559825e+00,\n 1.01319077e+00, 9.98885602e-01, 1.00574041e+00, 1.00971140e+00,\n 1.00134509e+00, 1.00031148e+00, 1.01036719e+00, 9.98956718e-01,\n 1.01682440e+00, 9.80291277e-01, 9.92806080e-01, 1.00403935e+00,\n 9.87182742e-01, 9.77293857e-01, 9.72109380e-01, 9.22810496e-01,\n 8.22420528e-01, 7.13772612e-01, 6.00511567e-01, 4.91831707e-01,\n 3.95769087e-01, 3.30195682e-01, 2.83581669e-01, 2.49802653e-01,\n 2.22537020e-01, 1.96721803e-01, 1.79368119e-01, 1.62409263e-01,\n 1.45134524e-01, 1.33305789e-01, 1.27260614e-01, 1.13644630e-01,\n 1.03598515e-01, 9.66192606e-02, 8.91079643e-02, 8.27468598e-02,\n 7.65891414e-02, 7.25146111e-02, 6.42728702e-02, 6.13891996e-02,\n 5.58129663e-02, 5.32628152e-02, 4.99118269e-02, 4.63853...16e-03, 2.00598295e-03, 1.88986352e-03,\n 1.64611084e-03, 2.01591255e-03, 1.44038590e-03, 1.70418923e-03,\n 1.12210728e-03, 1.67665162e-03, 1.45462524e-03, 1.28802044e-03,\n 1.07737872e-03, 1.02425734e-03, 1.30525659e-03, 7.81076338e-04,\n 8.89924758e-04, 5.85118163e-04, 1.00410037e-03, 9.75762845e-04,\n 8.29254414e-04, 5.72591913e-04, 6.09298207e-04, 8.87232874e-04,\n 6.28872157e-04, 7.24450436e-04, 6.05065520e-04, 4.94634356e-04,\n 5.82351688e-04, 4.88158807e-04, 6.76529865e-04, 3.85748478e-04,\n 4.14523521e-04, 3.18414689e-04, 5.67902968e-04, 2.13828847e-04,\n 4.59457987e-04, 4.21369852e-04, 5.03526904e-04, 2.35662903e-04,\n 6.01564620e-04, 3.49853468e-04, 3.80543765e-04, 1.49618615e-04,\n 5.24748863e-04, 3.57844566e-04, 1.96700171e-04, 6.33966629e-04,\n 1.99184135e-04, 3.53702036e-04, 3.54445778e-04, 2.87799374e-04,\n 0.00000000e+00, 1.70393352e-04, 5.66233173e-04, 1.97457413e-04,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 4.07908181e-04,\n 9.67453179e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 1.64313608e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00]) = (Qz_0: 189) float64 [dimensionless] [0.986366, 0.982782, ..., 0, 0] [6.11614e-05, 5.71472e-05, ..., 0, 0].values
E + and array([0.00782058, 0.00755958, 0.00734728, 0.00739317, 0.00696231,\n 0.00689308, 0.00675851, 0.00650568, 0.00637383, 0.00626595,\n 0.00624058, 0.0060261 , 0.00599028, 0.00569825, 0.00572156,\n 0.00548281, 0.00540315, 0.00539132, 0.00522847, 0.00508883,\n 0.00499675, 0.00503105, 0.00486237, 0.00480095, 0.00468046,\n 0.00455859, 0.00448963, 0.00445751, 0.00436887, 0.00432615,\n 0.00429509, 0.00420439, 0.00423717, 0.00404633, 0.00406588,\n 0.00406957, 0.00397678, 0.00391479, 0.003888 , 0.00374577,\n 0.00346891, 0.00321772, 0.00293198, 0.00264012, 0.00235524,\n 0.00212961, 0.00196522, 0.0018341 , 0.00172669, 0.00160102,\n 0.00152854, 0.00144195, 0.00134539, 0.0012776 , 0.00125714,\n 0.00117333, 0.00111567, 0.00107299, 0.0010189 , 0.00098392,\n 0.00094066, 0.00091447, 0.00084561, 0.00083073, 0.00079076,\n 0.00076977, 0.00074208, 0.00070701, 0.00067873, 0.00066434,\n 0.00063354, 0.0006067 , 0.00060611, 0.00056492, 0.00054519,\n 0.00052197, 0.00051125, 0.00049934, 0.00046996, 0.00046471,\n 0.00045164, 0.00043362, 0.00042264, 0.00040623, 0.0004011 ,\n 0.0003983 , 0.00039583, 0.00036183, 0.00034897, 0.00...024,\n 0.00026241, 0.00025678, 0.00024753, 0.00024669, 0.00024713,\n 0.00023927, 0.00022267, 0.00023404, 0.00024124, 0.00021939,\n 0.00021138, 0.00021124, 0.0002036 , 0.00020032, 0.00018978,\n 0.00019438, 0.00018838, 0.00019742, 0.0001815 , 0.00018513,\n 0.00017736, 0.00017403, 0.00018155, 0.00017697, 0.00016444,\n 0.00018674, 0.00016147, 0.00017401, 0.00014548, 0.00018336,\n 0.00017118, 0.00015954, 0.00014909, 0.00014727, 0.00017139,\n 0.0001351 , 0.00014353, 0.0001181 , 0.0001619 , 0.00015706,\n 0.00014992, 0.00012535, 0.00013782, 0.00016881, 0.00013775,\n 0.00015528, 0.00014341, 0.00013843, 0.00014612, 0.0001421 ,\n 0.00016481, 0.00012957, 0.00013137, 0.00012114, 0.00016477,\n 0.00010709, 0.00015331, 0.00014904, 0.00016794, 0.00011809,\n 0.00020131, 0.00015671, 0.00017046, 0.00010581, 0.00021446,\n 0.00017913, 0.00013936, 0.00025919, 0.00014084, 0.00020467,\n 0.00020472, 0.00020353, 0. , 0.00017039, 0.00032701,\n 0.00019746, 0. , 0. , 0. , 0.00040791,\n 0.0006841 , 0. , 0. , 0. , 0.00164314,\n 0. , 0. , 0. , 0. ]) = (array([6.11614469e-05, 5.71472102e-05, 5.39825564e-05, 5.46590110e-05,\n 4.84738090e-05, 4.75144992e-05, 4.56774681e-05, 4.23238788e-05,\n 4.06256729e-05, 3.92620678e-05, 3.89448018e-05, 3.63139409e-05,\n 3.58834696e-05, 3.24700347e-05, 3.27362952e-05, 3.00612268e-05,\n 2.91939786e-05, 2.90663205e-05, 2.73369439e-05, 2.58961442e-05,\n 2.49674700e-05, 2.53114996e-05, 2.36426041e-05, 2.30491204e-05,\n 2.19067439e-05, 2.07807156e-05, 2.01567723e-05, 1.98693859e-05,\n 1.90870613e-05, 1.87156076e-05, 1.84477859e-05, 1.76768816e-05,\n 1.79535948e-05, 1.63728012e-05, 1.65313721e-05, 1.65613935e-05,\n 1.58148113e-05, 1.53255962e-05, 1.51165528e-05, 1.40308236e-05,\n 1.20333710e-05, 1.03537309e-05, 8.59649962e-06, 6.97025344e-06,\n 5.54713426e-06, 4.53525259e-06, 3.86208176e-06, 3.36392702e-06,\n 2.98145065e-06, 2.56326104e-06, 2.33642020e-06, 2.07921073e-06,\n 1.81007374e-06, 1.63225033e-06, 1.58039811e-06, 1.37669265e-06,\n 1.24470958e-06, 1.15131498e-06, 1.03815231e-06, 9.68095976e-07,\n 8.84847400e-07, 8.36249909e-07, 7.15056674e-07, 6.90114629e-07,\n 6.25305884e-07, 5.92543973e-07, 5.50687392e-07, 4.99858...56e-08, 3.29587008e-08, 3.13200018e-08,\n 2.70399797e-08, 3.48731052e-08, 2.60716117e-08, 3.02796100e-08,\n 2.11635208e-08, 3.36212260e-08, 2.93037449e-08, 2.54520410e-08,\n 2.22284327e-08, 2.16898583e-08, 2.93758942e-08, 1.82510496e-08,\n 2.05996371e-08, 1.39475276e-08, 2.62109858e-08, 2.46678165e-08,\n 2.24772992e-08, 1.57123383e-08, 1.89929823e-08, 2.84972919e-08,\n 1.89762613e-08, 2.41112135e-08, 2.05655452e-08, 1.91636205e-08,\n 2.13502809e-08, 2.01927857e-08, 2.71624550e-08, 1.67891590e-08,\n 1.72589230e-08, 1.46759782e-08, 2.71488339e-08, 1.14684167e-08,\n 2.35051853e-08, 2.22135430e-08, 2.82045541e-08, 1.39445337e-08,\n 4.05273434e-08, 2.45593312e-08, 2.90558255e-08, 1.11961514e-08,\n 4.59911289e-08, 3.20886003e-08, 1.94215716e-08, 6.71787748e-08,\n 1.98372527e-08, 4.18909893e-08, 4.19095424e-08, 4.14232491e-08,\n 0.00000000e+00, 2.90338944e-08, 1.06932777e-07, 3.89894301e-08,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.66389084e-07,\n 4.67987221e-07, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 2.69989616e-06, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00]))
E + where = np.sqrt
E + and array([6.11614469e-05, 5.71472102e-05, 5.39825564e-05, 5.46590110e-05,\n 4.84738090e-05, 4.75144992e-05, 4.56774681e-05, 4.23238788e-05,\n 4.06256729e-05, 3.92620678e-05, 3.89448018e-05, 3.63139409e-05,\n 3.58834696e-05, 3.24700347e-05, 3.27362952e-05, 3.00612268e-05,\n 2.91939786e-05, 2.90663205e-05, 2.73369439e-05, 2.58961442e-05,\n 2.49674700e-05, 2.53114996e-05, 2.36426041e-05, 2.30491204e-05,\n 2.19067439e-05, 2.07807156e-05, 2.01567723e-05, 1.98693859e-05,\n 1.90870613e-05, 1.87156076e-05, 1.84477859e-05, 1.76768816e-05,\n 1.79535948e-05, 1.63728012e-05, 1.65313721e-05, 1.65613935e-05,\n 1.58148113e-05, 1.53255962e-05, 1.51165528e-05, 1.40308236e-05,\n 1.20333710e-05, 1.03537309e-05, 8.59649962e-06, 6.97025344e-06,\n 5.54713426e-06, 4.53525259e-06, 3.86208176e-06, 3.36392702e-06,\n 2.98145065e-06, 2.56326104e-06, 2.33642020e-06, 2.07921073e-06,\n 1.81007374e-06, 1.63225033e-06, 1.58039811e-06, 1.37669265e-06,\n 1.24470958e-06, 1.15131498e-06, 1.03815231e-06, 9.68095976e-07,\n 8.84847400e-07, 8.36249909e-07, 7.15056674e-07, 6.90114629e-07,\n 6.25305884e-07, 5.92543973e-07, 5.50687392e-07, 4.99858...56e-08, 3.29587008e-08, 3.13200018e-08,\n 2.70399797e-08, 3.48731052e-08, 2.60716117e-08, 3.02796100e-08,\n 2.11635208e-08, 3.36212260e-08, 2.93037449e-08, 2.54520410e-08,\n 2.22284327e-08, 2.16898583e-08, 2.93758942e-08, 1.82510496e-08,\n 2.05996371e-08, 1.39475276e-08, 2.62109858e-08, 2.46678165e-08,\n 2.24772992e-08, 1.57123383e-08, 1.89929823e-08, 2.84972919e-08,\n 1.89762613e-08, 2.41112135e-08, 2.05655452e-08, 1.91636205e-08,\n 2.13502809e-08, 2.01927857e-08, 2.71624550e-08, 1.67891590e-08,\n 1.72589230e-08, 1.46759782e-08, 2.71488339e-08, 1.14684167e-08,\n 2.35051853e-08, 2.22135430e-08, 2.82045541e-08, 1.39445337e-08,\n 4.05273434e-08, 2.45593312e-08, 2.90558255e-08, 1.11961514e-08,\n 4.59911289e-08, 3.20886003e-08, 1.94215716e-08, 6.71787748e-08,\n 1.98372527e-08, 4.18909893e-08, 4.19095424e-08, 4.14232491e-08,\n 0.00000000e+00, 2.90338944e-08, 1.06932777e-07, 3.89894301e-08,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.66389084e-07,\n 4.67987221e-07, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 2.69989616e-06, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00]) = (Qz_0: 189) float64 [dimensionless] [0.986366, 0.982782, ..., 0, 0] [6.11614e-05, 5.71472e-05, ..., 0, 0].variances

tests/scipp-analysis/estia/ort_file_test.py:124: AssertionError

2025-11-01 00:16:50: failed

2025-10-31 00:16:02: failed

2025-10-30 19:36:56: failed

2025-10-30 00:17:07: failed

2025-10-29 00:16:49: failed

2025-10-28 15:40:39: failed

2025-10-28 00:17:11: failed

2025-10-27 00:16:43: failed

2025-10-26 00:16:45: failed

2025-10-25 00:16:32: failed

2025-10-24 00:17:18: failed

2025-10-23 00:16:34: failed

2025-10-22 16:42:08: failed

2025-10-22 15:30:22: failed

2025-10-22 15:25:34: failed

2025-10-22 13:36:16: failed

2025-10-22 13:28:30: failed

2025-10-22 00:17:38: failed

2025-10-21 00:16:49: failed

2025-10-20 00:16:39: failed

2025-10-19 00:17:21: failed

2025-10-18 00:16:54: failed

2025-10-17 16:00:03: failed

2025-10-17 10:11:36: failed

2025-10-17 00:16:42: failed

2025-10-16 00:16:34: failed

2025-10-15 00:16:18: failed

2025-10-14 00:16:00: failed

2025-10-13 12:16:13: failed

2025-10-13 10:47:20: failed

2025-10-13 11:45:08: failed

2025-10-09 00:16:04: failed

2025-10-08 00:15:55: failed

2025-10-07 10:35:14: failed

2025-10-07 00:16:13: failed

2025-10-06 14:04:10: failed

2025-10-06 11:14:15: failed

2025-10-06 10:46:35: failed

2025-10-03 00:15:48: failed

2025-10-02 16:06:39: failed

2025-10-02 15:59:26: failed

2025-10-02 15:47:54: failed

2025-10-02 15:35:45: failed