Consolidate numpy and dask vindex handling #3
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4 tasks
fujiisoup
reviewed
Aug 6, 2017
xarray/core/nputils.py
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| return mixed_positions, vindex_positions | ||
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| class VectorizedIndex(object): |
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As it is an array-wrapper, I think the name should be something like NumpyVectorizedIndexingAdapter, like NumpyIndexingAdapter or DaskIndexingAdapter.
xarray/core/variable.py
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| # result. This is significantly faster/more efficient for | ||
| # most array backends. | ||
| values = np.arange(*value.indices(self.sizes[dim])) | ||
| variables.insert(i, Variable((dim,), values)) |
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I am wondering if this line is correct.
v = Variable(['w', 'x', 'y', 'z'], [[[[1, 2, 3], [4, 5, 6]]]])
ind = Variable(['y'], [0])
v_new = v[ind, :, 1:2, 2]raises
'IndexError: index 2 is out of bounds for axis 2 with size 2'
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