Enable numbagg in calculation of quantiles
#11252
Annotations
10 errors
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Run tests:
xarray/tests/test_units.py#L2035
TestVariable.test_computation[float64-method_quantile]
TypeError: operand type(s) all returned NotImplemented from __array_ufunc__(<ufunc 'nanquantile'>, '__call__', <Quantity([0. 1.02040816 2.04081633 3.06122449 4.08163265 0.10204082
1.12244898 2.14285714 3.16326531 4.18367347 0.20408163 1.2244898
2.24489796 3.26530612 4.28571429 0.30612245 1.32653061 2.34693878
3.36734694 4.3877551 0.40816327 1.42857143 2.44897959 3.46938776
4.48979592 0.51020408 1.53061224 2.55102041 3.57142857 4.59183673
0.6122449 1.63265306 2.65306122 3.67346939 4.69387755 0.71428571
1.73469388 2.75510204 3.7755102 4.79591837 0.81632653 1.83673469
2.85714286 3.87755102 4.89795918 0.91836735 1.93877551 2.95918367
3.97959184 5. ], 'meter')>, array([0.25, 0.75]), axes=[-1, -1, -1]): 'Quantity', 'ndarray'
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Run tests:
xarray/tests/test_units.py#L3808
TestDataArray.test_computation[float64-method_quantile-data]
TypeError: operand type(s) all returned NotImplemented from __array_ufunc__(<ufunc 'nanquantile'>, '__call__', <Quantity([ 0. 2.04081633 4.08163265 6.12244898 8.16326531 0.20408163
2.24489796 4.28571429 6.32653061 8.36734694 0.40816327 2.44897959
4.48979592 6.53061224 8.57142857 0.6122449 2.65306122 4.69387755
6.73469388 8.7755102 0.81632653 2.85714286 4.89795918 6.93877551
8.97959184 1.02040816 3.06122449 5.10204082 7.14285714 9.18367347
1.2244898 3.26530612 5.30612245 7.34693878 9.3877551 1.42857143
3.46938776 5.51020408 7.55102041 9.59183673 1.63265306 3.67346939
5.71428571 7.75510204 9.79591837 1.83673469 3.87755102 5.91836735
7.95918367 10. ], 'meter')>, array([0.25, 0.75]), axes=[-1, -1, -1]): 'Quantity', 'ndarray'
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Run tests:
xarray/tests/test_units.py#L3941
TestDataArray.test_grouped_operations[float64-method_quantile-data]
TypeError: operand type(s) all returned NotImplemented from __array_ufunc__(<ufunc 'nanquantile'>, '__call__', <Quantity([[0. 2.04081633 4.08163265 6.12244898 8.16326531]], 'meter')>, array([0.25, 0.5 , 0.75]), axes=[-1, -1, -1]): 'Quantity', 'ndarray'
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Run tests:
xarray/tests/test_units.py#L5290
TestDataset.test_computation[float64-data-method_quantile]
TypeError: operand type(s) all returned NotImplemented from __array_ufunc__(<ufunc 'nanquantile'>, '__call__', <Quantity([-5. -2.36842105 0.26315789 2.89473684 -4.47368421 -1.84210526
0.78947368 3.42105263 -3.94736842 -1.31578947 1.31578947 3.94736842
-3.42105263 -0.78947368 1.84210526 4.47368421 -2.89473684 -0.26315789
2.36842105 5. ], 'kelvin')>, array([0.25, 0.75]), axes=[-1, -1, -1]): 'Quantity', 'ndarray'
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Run tests:
xarray/tests/test_variable.py#L1853
TestVariable.test_quantile_out_of_bounds[-0.1]
Failed: DID NOT RAISE <class 'ValueError'>
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Run tests:
xarray/tests/test_units.py#L5448
TestDataset.test_grouped_operations[float64-data-method_quantile]
TypeError: operand type(s) all returned NotImplemented from __array_ufunc__(<ufunc 'nanquantile'>, '__call__', <Quantity([[-5. -2.89473684 -0.78947368 1.31578947 3.42105263]], 'kelvin')>, array([0.25, 0.5 , 0.75]), axes=[-1, -1, -1]): 'Quantity', 'ndarray'
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Run tests:
xarray/tests/test_variable.py#L1853
TestVariable.test_quantile_out_of_bounds[1.1]
AssertionError: Regex pattern did not match.
Regex: 'Quantiles must be in the range \\[0, 1\\]'
Input: 'kth out of bounds'
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Run tests:
xarray/tests/test_variable.py#L1853
TestVariable.test_quantile_out_of_bounds[q2]
AssertionError: Regex pattern did not match.
Regex: 'Quantiles must be in the range \\[0, 1\\]'
Input: 'kth out of bounds'
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Run tests:
xarray/tests/test_variable.py#L1853
TestVariable.test_quantile_out_of_bounds[q3]
AssertionError: Regex pattern did not match.
Regex: 'Quantiles must be in the range \\[0, 1\\]'
Input: 'kth out of bounds'
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Run tests
Process completed with exit code 1.
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