Use ddof in numbagg>=0.7.0 for aggregations
#11097
Annotations
10 errors
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xarray/tests/test_rolling.py#L272
TestDataArrayRolling.test_rolling_reduce[numbagg-numpy-std-3-3-False-2]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([ nan, nan, nan, nan, nan, nan, nan,
0.816497, nan, nan, nan])
R
array([nan, nan, nan, nan, nan, nan, nan, 1., nan, nan, nan])
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xarray/tests/test_rolling.py#L272
TestDataArrayRolling.test_rolling_reduce[numbagg-numpy-std-4-None-True-1]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.307673, 0.211884, 0.358588, 0.264489],
[ nan, nan, nan, nan]],
[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.304208, 0.14652 , 0.275099, 0.337423],
[ nan, nan, nan, nan]],
[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.282356, 0.147528, 0.116962, 0.328253],
[ nan, nan, nan, nan]]])
R
array([[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.355271, 0.244662, 0.414062, 0.305406],
[ nan, nan, nan, nan]],
[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.351269, 0.169187, 0.317657, 0.389623],
[ nan, nan, nan, nan]],
[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.326036, 0.170351, 0.135056, 0.379034],
[ nan, nan, nan, nan]]])
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xarray/tests/test_rolling.py#L272
TestDataArrayRolling.test_rolling_reduce[numbagg-numpy-std-4-None-False-1]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.338792, 0.207083, 0.252707, 0.16865 ],
[0.307673, 0.211884, 0.358588, 0.264489]],
[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.253402, 0.204742, 0.241388, 0.342895],
[0.304208, 0.14652 , 0.275099, 0.337423]],
[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.186836, 0.18359 , 0.15242 , 0.184117],
[0.282356, 0.147528, 0.116962, 0.328253]]])
R
array([[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.391203, 0.239119, 0.291801, 0.19474 ],
[0.355271, 0.244662, 0.414062, 0.305406]],
[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.292604, 0.236416, 0.278731, 0.395941],
[0.351269, 0.169187, 0.317657, 0.389623]],
[[ nan, nan, nan, nan],
[ nan, nan, nan, nan],
...,
[0.21574 , 0.211991, 0.175999, 0.2126 ],
[0.326036, 0.170351, 0.135056, 0.379034]]])
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xarray/tests/test_rolling.py#L272
TestDataArrayRolling.test_rolling_reduce[numbagg-numpy-std-4-1-True-1]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[[0.062579, 0.034648, 0.082588, 0.173445],
[0.230789, 0.142883, 0.144685, 0.167421],
...,
[0.307673, 0.211884, 0.358588, 0.264489],
[0.319165, 0.199355, 0.280072, 0.291031]],
[[0.004673, 0.331953, 0.10234 , 0.286735],
[0.207206, 0.276782, 0.104044, 0.251948],
...,
[0.304208, 0.14652 , 0.275099, 0.337423],
[0.11436 , 0.169104, 0.290617, 0.329405]],
[[0.264997, 0.076554, 0.136331, 0.084793],
[0.223599, 0.397626, 0.113501, 0.08574 ],
...,
[0.282356, 0.147528, 0.116962, 0.328253],
[0.310157, 0.157526, 0.08975 , 0.369587]]])
R
array([[[0.088501, 0.048999, 0.116797, 0.245288],
[0.282658, 0.174995, 0.177202, 0.205048],
...,
[0.355271, 0.244662, 0.414062, 0.305406],
[0.390896, 0.244159, 0.343016, 0.356438]],
[[0.006608, 0.469453, 0.14473 , 0.405504],
[0.253775, 0.338987, 0.127427, 0.308572],
...,
[0.351269, 0.169187, 0.317657, 0.389623],
[0.140062, 0.207109, 0.355932, 0.403437]],
[[0.374762, 0.108264, 0.192801, 0.119916],
[0.273852, 0.486991, 0.13901 , 0.10501 ],
...,
[0.326036, 0.170351, 0.135056, 0.379034],
[0.379864, 0.192929, 0.109921, 0.45265 ]]])
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xarray/tests/test_rolling.py#L272
TestDataArrayRolling.test_rolling_reduce[numbagg-numpy-std-4-1-True-2]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([0. , 0.5 , 0.816497, 0.5 , 0.816497, 0.816497, 0.816497,
0.816497, 0.816497, 0.816497, 0.5 ])
R
array([ nan, 0.707107, 1. , 0.707107, 1. , 1. , 1. ,
1. , 1. , 1. , 0.707107])
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xarray/tests/test_rolling.py#L272
TestDataArrayRolling.test_rolling_reduce[numbagg-numpy-std-4-1-False-1]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[[0. , 0. , 0. , 0. ],
[0.062579, 0.034648, 0.082588, 0.173445],
...,
[0.338792, 0.207083, 0.252707, 0.16865 ],
[0.307673, 0.211884, 0.358588, 0.264489]],
[[0. , 0. , 0. , 0. ],
[0.004673, 0.331953, 0.10234 , 0.286735],
...,
[0.253402, 0.204742, 0.241388, 0.342895],
[0.304208, 0.14652 , 0.275099, 0.337423]],
[[0. , 0. , 0. , 0. ],
[0.264997, 0.076554, 0.136331, 0.084793],
...,
[0.186836, 0.18359 , 0.15242 , 0.184117],
[0.282356, 0.147528, 0.116962, 0.328253]]])
R
array([[[ nan, nan, nan, nan],
[0.088501, 0.048999, 0.116797, 0.245288],
...,
[0.391203, 0.239119, 0.291801, 0.19474 ],
[0.355271, 0.244662, 0.414062, 0.305406]],
[[ nan, nan, nan, nan],
[0.006608, 0.469453, 0.14473 , 0.405504],
...,
[0.292604, 0.236416, 0.278731, 0.395941],
[0.351269, 0.169187, 0.317657, 0.389623]],
[[ nan, nan, nan, nan],
[0.374762, 0.108264, 0.192801, 0.119916],
...,
[0.21574 , 0.211991, 0.175999, 0.2126 ],
[0.326036, 0.170351, 0.135056, 0.379034]]])
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xarray/tests/test_rolling.py#L272
TestDataArrayRolling.test_rolling_reduce[numbagg-numpy-std-4-1-False-2]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([0. , 0. , 0.5 , 0.816497, 0.5 , 0.816497, 0.816497,
0.816497, 0.816497, 0.816497, 0.816497])
R
array([ nan, nan, 0.707107, 1. , 0.707107, 1. , 1. ,
1. , 1. , 1. , 1. ])
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xarray/tests/test_rolling.py#L272
TestDataArrayRolling.test_rolling_reduce[numbagg-numpy-std-4-2-True-1]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[[0.062579, 0.034648, 0.082588, 0.173445],
[0.230789, 0.142883, 0.144685, 0.167421],
...,
[0.307673, 0.211884, 0.358588, 0.264489],
[0.319165, 0.199355, 0.280072, 0.291031]],
[[0.004673, 0.331953, 0.10234 , 0.286735],
[0.207206, 0.276782, 0.104044, 0.251948],
...,
[0.304208, 0.14652 , 0.275099, 0.337423],
[0.11436 , 0.169104, 0.290617, 0.329405]],
[[0.264997, 0.076554, 0.136331, 0.084793],
[0.223599, 0.397626, 0.113501, 0.08574 ],
...,
[0.282356, 0.147528, 0.116962, 0.328253],
[0.310157, 0.157526, 0.08975 , 0.369587]]])
R
array([[[0.088501, 0.048999, 0.116797, 0.245288],
[0.282658, 0.174995, 0.177202, 0.205048],
...,
[0.355271, 0.244662, 0.414062, 0.305406],
[0.390896, 0.244159, 0.343016, 0.356438]],
[[0.006608, 0.469453, 0.14473 , 0.405504],
[0.253775, 0.338987, 0.127427, 0.308572],
...,
[0.351269, 0.169187, 0.317657, 0.389623],
[0.140062, 0.207109, 0.355932, 0.403437]],
[[0.374762, 0.108264, 0.192801, 0.119916],
[0.273852, 0.486991, 0.13901 , 0.10501 ],
...,
[0.326036, 0.170351, 0.135056, 0.379034],
[0.379864, 0.192929, 0.109921, 0.45265 ]]])
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xarray/tests/test_rolling.py#L272
TestDataArrayRolling.test_rolling_reduce[numbagg-numpy-std-4-2-True-2]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([ nan, 0.5 , 0.816497, 0.5 , 0.816497, 0.816497, 0.816497,
0.816497, 0.816497, 0.816497, 0.5 ])
R
array([ nan, 0.707107, 1. , 0.707107, 1. , 1. , 1. ,
1. , 1. , 1. , 0.707107])
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xarray/tests/test_rolling.py#L272
TestDataArrayRolling.test_rolling_reduce[numbagg-numpy-std-4-2-False-1]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[[ nan, nan, nan, nan],
[0.062579, 0.034648, 0.082588, 0.173445],
...,
[0.338792, 0.207083, 0.252707, 0.16865 ],
[0.307673, 0.211884, 0.358588, 0.264489]],
[[ nan, nan, nan, nan],
[0.004673, 0.331953, 0.10234 , 0.286735],
...,
[0.253402, 0.204742, 0.241388, 0.342895],
[0.304208, 0.14652 , 0.275099, 0.337423]],
[[ nan, nan, nan, nan],
[0.264997, 0.076554, 0.136331, 0.084793],
...,
[0.186836, 0.18359 , 0.15242 , 0.184117],
[0.282356, 0.147528, 0.116962, 0.328253]]])
R
array([[[ nan, nan, nan, nan],
[0.088501, 0.048999, 0.116797, 0.245288],
...,
[0.391203, 0.239119, 0.291801, 0.19474 ],
[0.355271, 0.244662, 0.414062, 0.305406]],
[[ nan, nan, nan, nan],
[0.006608, 0.469453, 0.14473 , 0.405504],
...,
[0.292604, 0.236416, 0.278731, 0.395941],
[0.351269, 0.169187, 0.317657, 0.389623]],
[[ nan, nan, nan, nan],
[0.374762, 0.108264, 0.192801, 0.119916],
...,
[0.21574 , 0.211991, 0.175999, 0.2126 ],
[0.326036, 0.170351, 0.135056, 0.379034]]])
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