DMSC Integration Testing

Test: scipp-analysis|estia|validate_physical_data|r_values_ureal_positive

2025-09-15 00:16:36: failed

load_data = DataGroup(sizes={}, keys=[
data: {'R_0': (Qz_0: 189) float64 [dimensionless] [0.986034, 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([9.86034497e-01, 9.82451043e-01, 9.76964176e-01, 9.85643348e-01,\n 9.51691278e-01, 9.74073822e-01, 9.84269126e-01, 9.74502487e-01,\n 9.81188882e-01, 9.88879905e-01, 1.01065696e+00, 1.00150056e+00,\n 1.01777407e+00, 9.89216388e-01, 1.02018694e+00, 1.00082499e+00,\n 1.00255846e+00, 1.02637292e+00, 1.01936938e+00, 1.01033543e+00,\n 1.00944910e+00, 1.04098144e+00, 1.02230596e+00, 1.02525329e+00,\n 1.01284998e+00, 9.98549626e-01, 1.00540213e+00, 1.00937179e+00,\n 1.00100828e+00, 9.99975029e-01, 1.01002735e+00, 9.98620719e-01,\n 1.01648239e+00, 9.79961556e-01, 9.92472150e-01, 1.00370164e+00,\n 9.86850702e-01, 9.76965144e-01, 9.71782411e-01, 9.22500108e-01,\n 8.22143907e-01, 7.13532535e-01, 6.00309585e-01, 4.91666279e-01,\n 3.95635970e-01, 3.30084620e-01, 2.83486286e-01, 2.49718632e-01,\n 2.22462170e-01, 1.96655636e-01, 1.79307788e-01, 1.62354636e-01,\n 1.45085708e-01, 1.33260952e-01, 1.27217810e-01, 1.13606406e-01,\n 1.03563669e-01, 9.65867627e-02, 8.90779928e-02, 8.27190279e-02,\n 7.65633806e-02, 7.24902208e-02, 6.42512520e-02, 6.13685513e-02,\n 5.57941936e-02, 5.32449002e-02, 4.98950391e-02, 4.63697...97e-03, 2.00530824e-03, 1.88922787e-03,\n 1.64555717e-03, 2.01523450e-03, 1.43990142e-03, 1.70361603e-03,\n 1.12172986e-03, 1.67608768e-03, 1.45413598e-03, 1.28758721e-03,\n 1.07701634e-03, 1.02391283e-03, 1.30481757e-03, 7.80813623e-04,\n 8.89625432e-04, 5.84921358e-04, 1.00376264e-03, 9.75434647e-04,\n 8.28975494e-04, 5.72399322e-04, 6.09093270e-04, 8.86934453e-04,\n 6.28660636e-04, 7.24206767e-04, 6.04862006e-04, 4.94467985e-04,\n 5.82155814e-04, 4.87994615e-04, 6.76302314e-04, 3.85618732e-04,\n 4.14384096e-04, 3.18307590e-04, 5.67711954e-04, 2.13756925e-04,\n 4.59303448e-04, 4.21228124e-04, 5.03357543e-04, 2.35583638e-04,\n 6.01362284e-04, 3.49735795e-04, 3.80415769e-04, 1.49568291e-04,\n 5.24572363e-04, 3.57724205e-04, 1.96634011e-04, 6.33753394e-04,\n 1.99117139e-04, 3.53583069e-04, 3.54326560e-04, 2.87702573e-04,\n 0.00000000e+00, 1.70336040e-04, 5.66042720e-04, 1.97390998e-04,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 4.07770981e-04,\n 9.67127776e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 1.64258341e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00]) <= (1 + (2 * array([0.00781795, 0.00755703, 0.00734481, 0.00739069, 0.00695997,\n 0.00689076, 0.00675624, 0.00650349, 0.00637168, 0.00626384,\n 0.00623848, 0.00602408, 0.00598827, 0.00569633, 0.00571964,\n 0.00548097, 0.00540133, 0.00538951, 0.00522672, 0.00508711,\n 0.00499507, 0.00502936, 0.00486073, 0.00479934, 0.00467889,\n 0.00455705, 0.00448812, 0.00445601, 0.0043674 , 0.0043247 ,\n 0.00429364, 0.00420297, 0.00423574, 0.00404497, 0.00406451,\n 0.0040682 , 0.00397545, 0.00391348, 0.00388669, 0.00374451,\n 0.00346775, 0.00321664, 0.00293099, 0.00263924, 0.00235444,\n 0.0021289 , 0.00196456, 0.00183348, 0.00172611, 0.00160048,\n 0.00152802, 0.00144146, 0.00134494, 0.00127717, 0.00125672,\n 0.00117293, 0.00111529, 0.00107263, 0.00101855, 0.00098359,\n 0.00094035, 0.00091416, 0.00084533, 0.00083045, 0.0007905 ,\n 0.00076951, 0.00074183, 0.00070677, 0.0006785 , 0.00066412,\n 0.00063333, 0.0006065 , 0.0006059 , 0.00056473, 0.000545 ,\n 0.00052179, 0.00051108, 0.00049917, 0.0004698 , 0.00046455,\n 0.00045148, 0.00043347, 0.0004225 , 0.00040609, 0.00040096,\n 0.00039817, 0.0003957 , 0.0003617 , 0.00034885, 0.00...015,\n 0.00026233, 0.00025669, 0.00024745, 0.00024661, 0.00024705,\n 0.00023919, 0.0002226 , 0.00023396, 0.00024116, 0.00021931,\n 0.00021131, 0.00021117, 0.00020353, 0.00020025, 0.00018972,\n 0.00019432, 0.00018832, 0.00019736, 0.00018144, 0.00018507,\n 0.0001773 , 0.00017398, 0.00018148, 0.00017692, 0.00016438,\n 0.00018668, 0.00016141, 0.00017395, 0.00014543, 0.0001833 ,\n 0.00017113, 0.00015948, 0.00014904, 0.00014723, 0.00017134,\n 0.00013505, 0.00014348, 0.00011806, 0.00016184, 0.00015701,\n 0.00014987, 0.00012531, 0.00013777, 0.00016875, 0.00013771,\n 0.00015523, 0.00014336, 0.00013839, 0.00014607, 0.00014205,\n 0.00016475, 0.00012953, 0.00013133, 0.0001211 , 0.00016471,\n 0.00010705, 0.00015326, 0.00014899, 0.00016789, 0.00011805,\n 0.00020125, 0.00015666, 0.0001704 , 0.00010578, 0.00021438,\n 0.00017907, 0.00013931, 0.0002591 , 0.0001408 , 0.0002046 ,\n 0.00020465, 0.00020346, 0. , 0.00017034, 0.0003269 ,\n 0.00019739, 0. , 0. , 0. , 0.00040777,\n 0.00068387, 0. , 0. , 0. , 0.00164258,\n 0. , 0. , 0. , 0. ]))))
E + where array([9.86034497e-01, 9.82451043e-01, 9.76964176e-01, 9.85643348e-01,\n 9.51691278e-01, 9.74073822e-01, 9.84269126e-01, 9.74502487e-01,\n 9.81188882e-01, 9.88879905e-01, 1.01065696e+00, 1.00150056e+00,\n 1.01777407e+00, 9.89216388e-01, 1.02018694e+00, 1.00082499e+00,\n 1.00255846e+00, 1.02637292e+00, 1.01936938e+00, 1.01033543e+00,\n 1.00944910e+00, 1.04098144e+00, 1.02230596e+00, 1.02525329e+00,\n 1.01284998e+00, 9.98549626e-01, 1.00540213e+00, 1.00937179e+00,\n 1.00100828e+00, 9.99975029e-01, 1.01002735e+00, 9.98620719e-01,\n 1.01648239e+00, 9.79961556e-01, 9.92472150e-01, 1.00370164e+00,\n 9.86850702e-01, 9.76965144e-01, 9.71782411e-01, 9.22500108e-01,\n 8.22143907e-01, 7.13532535e-01, 6.00309585e-01, 4.91666279e-01,\n 3.95635970e-01, 3.30084620e-01, 2.83486286e-01, 2.49718632e-01,\n 2.22462170e-01, 1.96655636e-01, 1.79307788e-01, 1.62354636e-01,\n 1.45085708e-01, 1.33260952e-01, 1.27217810e-01, 1.13606406e-01,\n 1.03563669e-01, 9.65867627e-02, 8.90779928e-02, 8.27190279e-02,\n 7.65633806e-02, 7.24902208e-02, 6.42512520e-02, 6.13685513e-02,\n 5.57941936e-02, 5.32449002e-02, 4.98950391e-02, 4.63697...97e-03, 2.00530824e-03, 1.88922787e-03,\n 1.64555717e-03, 2.01523450e-03, 1.43990142e-03, 1.70361603e-03,\n 1.12172986e-03, 1.67608768e-03, 1.45413598e-03, 1.28758721e-03,\n 1.07701634e-03, 1.02391283e-03, 1.30481757e-03, 7.80813623e-04,\n 8.89625432e-04, 5.84921358e-04, 1.00376264e-03, 9.75434647e-04,\n 8.28975494e-04, 5.72399322e-04, 6.09093270e-04, 8.86934453e-04,\n 6.28660636e-04, 7.24206767e-04, 6.04862006e-04, 4.94467985e-04,\n 5.82155814e-04, 4.87994615e-04, 6.76302314e-04, 3.85618732e-04,\n 4.14384096e-04, 3.18307590e-04, 5.67711954e-04, 2.13756925e-04,\n 4.59303448e-04, 4.21228124e-04, 5.03357543e-04, 2.35583638e-04,\n 6.01362284e-04, 3.49735795e-04, 3.80415769e-04, 1.49568291e-04,\n 5.24572363e-04, 3.57724205e-04, 1.96634011e-04, 6.33753394e-04,\n 1.99117139e-04, 3.53583069e-04, 3.54326560e-04, 2.87702573e-04,\n 0.00000000e+00, 1.70336040e-04, 5.66042720e-04, 1.97390998e-04,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 4.07770981e-04,\n 9.67127776e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 1.64258341e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00]) = (Qz_0: 189) float64 [dimensionless] [0.986034, 0.982451, ..., 0, 0] [6.11203e-05, 5.71088e-05, ..., 0, 0].values
E + and array([0.00781795, 0.00755703, 0.00734481, 0.00739069, 0.00695997,\n 0.00689076, 0.00675624, 0.00650349, 0.00637168, 0.00626384,\n 0.00623848, 0.00602408, 0.00598827, 0.00569633, 0.00571964,\n 0.00548097, 0.00540133, 0.00538951, 0.00522672, 0.00508711,\n 0.00499507, 0.00502936, 0.00486073, 0.00479934, 0.00467889,\n 0.00455705, 0.00448812, 0.00445601, 0.0043674 , 0.0043247 ,\n 0.00429364, 0.00420297, 0.00423574, 0.00404497, 0.00406451,\n 0.0040682 , 0.00397545, 0.00391348, 0.00388669, 0.00374451,\n 0.00346775, 0.00321664, 0.00293099, 0.00263924, 0.00235444,\n 0.0021289 , 0.00196456, 0.00183348, 0.00172611, 0.00160048,\n 0.00152802, 0.00144146, 0.00134494, 0.00127717, 0.00125672,\n 0.00117293, 0.00111529, 0.00107263, 0.00101855, 0.00098359,\n 0.00094035, 0.00091416, 0.00084533, 0.00083045, 0.0007905 ,\n 0.00076951, 0.00074183, 0.00070677, 0.0006785 , 0.00066412,\n 0.00063333, 0.0006065 , 0.0006059 , 0.00056473, 0.000545 ,\n 0.00052179, 0.00051108, 0.00049917, 0.0004698 , 0.00046455,\n 0.00045148, 0.00043347, 0.0004225 , 0.00040609, 0.00040096,\n 0.00039817, 0.0003957 , 0.0003617 , 0.00034885, 0.00...015,\n 0.00026233, 0.00025669, 0.00024745, 0.00024661, 0.00024705,\n 0.00023919, 0.0002226 , 0.00023396, 0.00024116, 0.00021931,\n 0.00021131, 0.00021117, 0.00020353, 0.00020025, 0.00018972,\n 0.00019432, 0.00018832, 0.00019736, 0.00018144, 0.00018507,\n 0.0001773 , 0.00017398, 0.00018148, 0.00017692, 0.00016438,\n 0.00018668, 0.00016141, 0.00017395, 0.00014543, 0.0001833 ,\n 0.00017113, 0.00015948, 0.00014904, 0.00014723, 0.00017134,\n 0.00013505, 0.00014348, 0.00011806, 0.00016184, 0.00015701,\n 0.00014987, 0.00012531, 0.00013777, 0.00016875, 0.00013771,\n 0.00015523, 0.00014336, 0.00013839, 0.00014607, 0.00014205,\n 0.00016475, 0.00012953, 0.00013133, 0.0001211 , 0.00016471,\n 0.00010705, 0.00015326, 0.00014899, 0.00016789, 0.00011805,\n 0.00020125, 0.00015666, 0.0001704 , 0.00010578, 0.00021438,\n 0.00017907, 0.00013931, 0.0002591 , 0.0001408 , 0.0002046 ,\n 0.00020465, 0.00020346, 0. , 0.00017034, 0.0003269 ,\n 0.00019739, 0. , 0. , 0. , 0.00040777,\n 0.00068387, 0. , 0. , 0. , 0.00164258,\n 0. , 0. , 0. , 0. ]) = (array([6.11203105e-05, 5.71087737e-05, 5.39462484e-05, 5.46222480e-05,\n 4.84412061e-05, 4.74825416e-05, 4.56467460e-05, 4.22954123e-05,\n 4.05983486e-05, 3.92356606e-05, 3.89186080e-05, 3.62895166e-05,\n 3.58593348e-05, 3.24481958e-05, 3.27142772e-05, 3.00410080e-05,\n 2.91743431e-05, 2.90467709e-05, 2.73185574e-05, 2.58787268e-05,\n 2.49506772e-05, 2.52944754e-05, 2.36267023e-05, 2.30336179e-05,\n 2.18920097e-05, 2.07667387e-05, 2.01432151e-05, 1.98560220e-05,\n 1.90742236e-05, 1.87030197e-05, 1.84353782e-05, 1.76649924e-05,\n 1.79415194e-05, 1.63617890e-05, 1.65202533e-05, 1.65502545e-05,\n 1.58041744e-05, 1.53152884e-05, 1.51063856e-05, 1.40213867e-05,\n 1.20252775e-05, 1.03467671e-05, 8.59071772e-06, 6.96556534e-06,\n 5.54340333e-06, 4.53220224e-06, 3.85948417e-06, 3.36166448e-06,\n 2.97944536e-06, 2.56153702e-06, 2.33484875e-06, 2.07781228e-06,\n 1.80885631e-06, 1.63115250e-06, 1.57933516e-06, 1.37576670e-06,\n 1.24387240e-06, 1.15054062e-06, 1.03745406e-06, 9.67444847e-07,\n 8.84252263e-07, 8.35687458e-07, 7.14575736e-07, 6.89650466e-07,\n 6.24885311e-07, 5.92145435e-07, 5.50317006e-07, 4.99522...42e-08, 3.29365332e-08, 3.12989364e-08,\n 2.70217930e-08, 3.48496500e-08, 2.60540762e-08, 3.02592443e-08,\n 2.11492865e-08, 3.35986128e-08, 2.92840356e-08, 2.54349223e-08,\n 2.22134821e-08, 2.16752700e-08, 2.93561364e-08, 1.82387742e-08,\n 2.05857821e-08, 1.39381466e-08, 2.61933567e-08, 2.46512253e-08,\n 2.24621813e-08, 1.57017703e-08, 1.89802079e-08, 2.84781250e-08,\n 1.89634981e-08, 2.40949966e-08, 2.05517131e-08, 1.91507313e-08,\n 2.13359210e-08, 2.01792043e-08, 2.71441859e-08, 1.67778669e-08,\n 1.72473149e-08, 1.46661073e-08, 2.71305740e-08, 1.14607032e-08,\n 2.34893760e-08, 2.21986025e-08, 2.81855841e-08, 1.39351548e-08,\n 4.05000853e-08, 2.45428129e-08, 2.90362829e-08, 1.11886210e-08,\n 4.59601959e-08, 3.20670179e-08, 1.94085089e-08, 6.71335912e-08,\n 1.98239105e-08, 4.18628139e-08, 4.18813546e-08, 4.13953884e-08,\n 0.00000000e+00, 2.90143665e-08, 1.06860855e-07, 3.89632063e-08,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.66277173e-07,\n 4.67672459e-07, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 2.69808025e-06, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00]))
E + where = np.sqrt
E + and array([6.11203105e-05, 5.71087737e-05, 5.39462484e-05, 5.46222480e-05,\n 4.84412061e-05, 4.74825416e-05, 4.56467460e-05, 4.22954123e-05,\n 4.05983486e-05, 3.92356606e-05, 3.89186080e-05, 3.62895166e-05,\n 3.58593348e-05, 3.24481958e-05, 3.27142772e-05, 3.00410080e-05,\n 2.91743431e-05, 2.90467709e-05, 2.73185574e-05, 2.58787268e-05,\n 2.49506772e-05, 2.52944754e-05, 2.36267023e-05, 2.30336179e-05,\n 2.18920097e-05, 2.07667387e-05, 2.01432151e-05, 1.98560220e-05,\n 1.90742236e-05, 1.87030197e-05, 1.84353782e-05, 1.76649924e-05,\n 1.79415194e-05, 1.63617890e-05, 1.65202533e-05, 1.65502545e-05,\n 1.58041744e-05, 1.53152884e-05, 1.51063856e-05, 1.40213867e-05,\n 1.20252775e-05, 1.03467671e-05, 8.59071772e-06, 6.96556534e-06,\n 5.54340333e-06, 4.53220224e-06, 3.85948417e-06, 3.36166448e-06,\n 2.97944536e-06, 2.56153702e-06, 2.33484875e-06, 2.07781228e-06,\n 1.80885631e-06, 1.63115250e-06, 1.57933516e-06, 1.37576670e-06,\n 1.24387240e-06, 1.15054062e-06, 1.03745406e-06, 9.67444847e-07,\n 8.84252263e-07, 8.35687458e-07, 7.14575736e-07, 6.89650466e-07,\n 6.24885311e-07, 5.92145435e-07, 5.50317006e-07, 4.99522...42e-08, 3.29365332e-08, 3.12989364e-08,\n 2.70217930e-08, 3.48496500e-08, 2.60540762e-08, 3.02592443e-08,\n 2.11492865e-08, 3.35986128e-08, 2.92840356e-08, 2.54349223e-08,\n 2.22134821e-08, 2.16752700e-08, 2.93561364e-08, 1.82387742e-08,\n 2.05857821e-08, 1.39381466e-08, 2.61933567e-08, 2.46512253e-08,\n 2.24621813e-08, 1.57017703e-08, 1.89802079e-08, 2.84781250e-08,\n 1.89634981e-08, 2.40949966e-08, 2.05517131e-08, 1.91507313e-08,\n 2.13359210e-08, 2.01792043e-08, 2.71441859e-08, 1.67778669e-08,\n 1.72473149e-08, 1.46661073e-08, 2.71305740e-08, 1.14607032e-08,\n 2.34893760e-08, 2.21986025e-08, 2.81855841e-08, 1.39351548e-08,\n 4.05000853e-08, 2.45428129e-08, 2.90362829e-08, 1.11886210e-08,\n 4.59601959e-08, 3.20670179e-08, 1.94085089e-08, 6.71335912e-08,\n 1.98239105e-08, 4.18628139e-08, 4.18813546e-08, 4.13953884e-08,\n 0.00000000e+00, 2.90143665e-08, 1.06860855e-07, 3.89632063e-08,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.66277173e-07,\n 4.67672459e-07, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 2.69808025e-06, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00]) = (Qz_0: 189) float64 [dimensionless] [0.986034, 0.982451, ..., 0, 0] [6.11203e-05, 5.71088e-05, ..., 0, 0].variances

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

2025-09-14 00:16:23: failed

2025-09-13 00:16:33: failed

2025-09-12 00:16:26: failed

2025-09-11 00:16:05: failed

2025-09-10 00:16:32: failed

2025-09-09 00:16:30: failed

2025-09-08 00:16:00: failed

2025-09-07 00:16:17: failed

2025-09-06 00:16:23: failed

2025-09-05 00:16:13: failed

2025-09-04 00:16:17: failed

2025-09-03 00:16:16: failed

2025-09-02 00:27:28: failed

2025-09-01 00:25:43: failed

2025-08-31 00:27:13: failed

2025-08-30 00:18:52: failed

2025-08-29 00:21:14: failed

2025-08-28 00:23:17: failed

2025-08-27 00:22:25: failed

2025-08-25 00:20:26: failed

2025-08-24 00:30:26: failed

2025-08-23 00:20:54: failed

2025-08-22 00:18:54: failed

2025-08-21 00:18:08: failed

2025-08-20 00:18:13: failed

2025-08-19 00:18:00: failed

2025-08-18 00:18:34: failed

2025-08-17 00:18:18: failed

2025-08-16 00:26:27: failed

2025-08-15 00:19:56: failed

2025-08-14 00:24:30: failed

2025-08-13 00:19:44: failed

2025-08-12 00:17:32: failed

2025-08-11 00:17:56: failed

2025-08-10 00:18:15: failed

2025-08-09 00:20:12: failed

2025-08-08 00:18:09: failed

2025-08-07 00:22:23: failed

2025-08-06 00:18:04: failed

2025-08-05 00:18:04: failed

2025-08-04 00:38:02: failed

2025-08-03 00:17:50: failed

2025-08-02 00:18:17: failed

2025-08-01 00:18:04: failed

2025-07-31 00:18:04: failed

2025-07-30 00:17:37: failed

2025-07-29 00:17:30: failed

2025-07-28 00:17:25: failed