issue_comments: 566938638

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https://github.com/pydata/xarray/issues/3574#issuecomment-566938638 https://api.github.com/repos/pydata/xarray/issues/3574 566938638 MDEyOklzc3VlQ29tbWVudDU2NjkzODYzOA== 941907 2019-12-18T08:55:29Z 2019-12-18T08:55:29Z NONE

meta should be passed to blockwise through _apply_blockwise with default None (I think) and np.ndarray if vectorize is True. You'll have to pass the vectorize kwarg down to this level I think.

I'm afraid that passing meta=None will not help as explained in https://github.com/dask/dask/issues/5642 and seen around this line because in that case compute_meta will be called which might fail with a np.vectorize-wrapped function. I belive a better solution would be to address https://github.com/dask/dask/issues/5642 so that meta isn't computed even though we already provide an output dtype.

 
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