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Merge pull request #691 from pllim/message-in-a-bottleneck
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DOC: Known bottleneck install issue
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rosteen authored Jun 17, 2021
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Expand Up @@ -35,6 +35,15 @@ compatible version:
See `Issue #305 <https://github.com/spacetelescope/jdaviz/issues/305>`_ for
updates on this topic.

On some platforms, install fails due to `bottleneck`
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In a conda environment, where numpy was installed using conda, installing
jdaviz using pip will attempt to pull bottleneck from PyPI. This might result
in bottleneck trying to build numpy from source and crash, stalling the
installation altogether. When this happens, exit the installation, install
bottleneck with conda, and try to install jdaviz again.

Collapse Plugin spectral bounds don't match selected region
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