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v0.12 TypeError

See original GitHub issue

Describe the bug The following assertion worked until v0.12. Now it returns a TypeError.

To Reproduce

import sparse
import numpy as np


a = np.random.rand(1000,1000)
a[a<.9] = np.nan
a = sparse.COO(a, fill_value=np.nan)

a.fill_value = 0.0
a = sparse.COO(a)

assert a == a

Issue Analytics

State:
Created 2 years ago
Comments:8

Top GitHub Comments

1reaction

hameerabbasicommented, Mar 25, 2021

Another bit of unsupported behaviour there is a == a. You should really write assert (a == a).all().

1reaction

hameerabbasicommented, Mar 25, 2021

The best way would be to construct a new COO with the same coords and data, but a new fill-value. AFAIK this won’t incur copies.

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