Fix errors in continuous integration #788
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Use quotes to ensure correct installation of version-constrained pip installs.
Periods are not allowed in job name.
ensures it does not fail if the directory already exists
These python distributions fail to build on CircleCI (failing during setup of python environment).
When tag version specifies alfa, beta or rc release, push to test pypi server.
No longer supported since September 13th, 2020
Repo organization name has changed to AIM-Harvard, update the check to reflect this.
Ensure patchelf can be installed in linux Fix tag check in AppVeyor
Twin upload is handled in powershell, requiring a different reference to environment variables.
When Label_channel column is present in the CSV input, it needs to be parsed as an int. However, due to a bug, the value for label was used instead. Related to 54a3782, but now for voxel-based extraction
Force scikit-ci to also use the configured python by first correcting the path. Removes support of python 3.6 build, also remove this from the linux build.
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- Call twine using python -m twine in Linux - Correctly setup miniconda environment in Appveyor. See also conda/conda#8836 - Add compiler requirement conda meta.yaml
Allow for newer versions to be used. Consistency in results is covered by testing.
Both label and label_channel are used in SimpleITK, which is more sensitive to datatypes (i.e. will fail when either parameter is int64_t). Therefore, force these values to int.
Label_channel was added to support 3D slicer's Segmentation format. However, with newer versions, Segmentations created in 3D slicer may be stored as labelmaps (more space efficient). Add a note to point users to this in `getMask` function.
Fix new definition of long description to ensure it is rendered on PyPi
Update status badges in readme to reflect new CI integration.
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Linked to #825 (this PR does not merge into master however):
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