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### Description
When using `jax` based package `pychastic` (an SDE solver) jax backend keeps eating memory indefinitely.
```python
import jax
import jax.numpy as np
import numpy.random
import…
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It may be possible to reduce the size of `ProtocolDAGResult`s and other `GufeTokenizable`s that require the use of `numpy` arrays for storing numerical data if we apply compression against the byte fo…
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Edit: see below for updated request.
### Is your feature request related to a problem?
the rest of the scipy ecosystem requires numpy arrays for everything. dim order is the only organizati…
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https://www.freecodecamp.org/learn/data-analysis-with-python/data-analysis-with-python-course/numpy-boolean-arrays
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Currently paths for differences in numpy structured arrays are not readable:
```py
>>> aa = np.zeros(1, dtype=(('a', (np.float32, (2,)))))
>>> bb = np.ones(1, dtype=(('a', (np.float32, (2,)))))
>>…
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When I pickle large Numpy arrays using IronPython [e.g. arrays that have 1
million elements], >99% of the numbers are recovered exactly when using
Unpickle, but
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_Issue [RCAL-897](https://jira.stsci.edu/browse/RCAL-897) was created on JIRA by [Nadia Dencheva](https://jira.stsci.edu/secure/ViewProfile.jspa?name=dencheva):_
Currently data arrays (excluding dq…
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Most fetchers in `nilearn.datasets` currently return descriptions and label names in `bytes`. See issue #1635 and recent PR #2655 for example.
Moreover, metadata is currently returned as numpy arrays…
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### Is your feature request related to a problem? Please describe.
CVXPY is looking for a sparse COO-like nD type. Functionality needed seems close to what is provided by the new COO nD format here. …
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Very well done job on the paper and the code!
I did have a question about the numpy arrays used for training, specifically the 'heatmap_xx.npy', 'zones_xx.npy', and 'instances_xx.npy' files. I've a…