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### Summary
When HESSE fails after MIGRAD with the `minuit` backend, the resulting error is accompanied by a misleading "Optimization terminated successfully." message. This happens since the statu…
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Given @sabinekraml's good GitHub Discussion question (that we've seen before in Issues) https://github.com/scikit-hep/pyhf/discussions/1619, along with https://github.com/scikit-hep/pyhf/issues/1620 w…
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See some comments especially from Zach: https://github.com/scipp-atlas/mapyde-paper/issues/11. Some of these motivate some code changes, especially the ones near the end starting at Line 413:
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As an alternative to PyGithub, https://github.com/fastai/ghapi provides [nice pagination](https://ghapi.fast.ai/page.html) that could make it easier to work with and gives access to the full GitHub AP…
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(from #7 - @slaurila )
Currenty, the final product of the analysis is a set of histograms that are interesting inspect qualitatively, but there is no way to conclude if we actually see some hint of…
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tested on colab
```
!pip install pyhf[jax] > /dev/null
import jax
import pyhf
import json
import time
pyhf.set_backend(pyhf.tensor.jax_backend())
w = pyhf.Workspace(json.load(open('./pyhf…
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In https://github.com/scikit-hep/pyhf/pull/1881 I noticed and fixed a `SetuptoolsDeprecationWarning` that `pyhf` had in its setup. As `pyhf` [runs `build` in its CI](https://github.com/scikit-hep/pyhf…
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# Description
While TensorFlow and JAX will detect out of the box if there is an available GPU for them to run on and utilize it (if the [system environment is properly configured for CUDA and cuDN…