Add gala recipe #1633
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| {% set name = "gala" %} | ||
| {% set version = "0.4.0" %} | ||
| {% set sha256 = "53cf601a23d11f945cddd0545cf910039367f6b14759c5868efdf7bc6e9f4564" %} | ||
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| package: | ||
| name: {{ name|lower }} | ||
| version: {{ version }} | ||
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| source: | ||
| fn: {{ name }}-{{ version }}.tar.gz | ||
| url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz | ||
| sha256: {{ sha256 }} | ||
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| build: | ||
| number: 0 | ||
| skip: True # [py < 35] | ||
| script: python setup.py install --single-version-externally-managed --record record.txt | ||
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| requirements: | ||
| build: | ||
| - python | ||
| - setuptools | ||
| - cython | ||
| - numpy | ||
| run: | ||
| - python | ||
| - numpy | ||
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| - networkx | ||
| - h5py | ||
| - matplotlib | ||
| - scipy | ||
| - scikit-image | ||
| - scikit-learn | ||
| - viridis | ||
| - tqdm | ||
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| test: | ||
| requires: | ||
| - pytest | ||
| - coverage | ||
| - nose | ||
| - pytest-cov | ||
| imports: | ||
| - gala.agglo | ||
| - gala.agglo2 | ||
| - gala.evaluate | ||
| - gala.features.histogram | ||
| commands: | ||
| - py.test --doctest-modules --pyargs gala | ||
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| about: | ||
| home: https://github.com/janelia-flyem/gala | ||
| license_family: BSD | ||
| license: BSD 3-clause | ||
| # Uncomment line below when license.txt is added to PyPI source dist | ||
| # license_file: license.txt | ||
| summary: 'Automatic segmentation of electron microscopy volumes' | ||
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| description: | | ||
| Gala is a Python library for performing and evaluating image segmentation, | ||
| distributed under the open-source, 3-clause BSD license. It implements the | ||
| algorithm described in Nunez-Iglesias et al., PLOS ONE, 2013. | ||
| doc_url: https://gala.readthedocs.org | ||
| dev_url: https://github.com/janelia-flyem/gala | ||
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| extra: | ||
| recipe-maintainers: | ||
| - jni | ||
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@jni b/c gala relies on
numpy's ABI you need to specifynumpy x.xhere and below to bake thenumpybuild string and ensure the samenumpyversion used in the build will be installed at run time.There was a problem hiding this comment.
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Ah right. Can I specify a numpy range, numpy>=1.11? So that it still gets built correctly when 1.12 comes out?
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You can specify it twice when there is a numpy version limitation, like it only works > 1.10, for example.
No need in that case b/c the numpy matrix is defined automatically by conda-forge. Right now our lower limit is numpy 1.10.
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Sorry can you clarify what you meant with "specify it twice"? What's the spec?
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Example below in the diff. Hope that clarifies it.