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add xvega #12522

Merged
merged 7 commits into from
Sep 1, 2020
Merged

add xvega #12522

merged 7 commits into from
Sep 1, 2020

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madhur-tandon
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Checklist

  • Title of this PR is meaningful: e.g. "Adding my_nifty_package", not "updated meta.yaml"
  • License file is packaged (see here for an example)
  • Source is from official source
  • Package does not vendor other packages. (If a package uses the source of another package, they should be separate packages or the licenses of all packages need to be packaged)
  • If static libraries are linked in, the license of the static library is packaged.
  • Build number is 0
  • A tarball (url) rather than a repo (e.g. git_url) is used in your recipe (see here for more details)
  • GitHub users listed in the maintainer section have posted a comment confirming they are willing to be listed there

@conda-forge-linter
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Hi! This is the friendly automated conda-forge-linting service.

I wanted to let you know that I linted all conda-recipes in your PR (recipes/xvega) and found some lint.

Here's what I've got...

For recipes/xvega:

  • There are too few lines. There should be one empty line at the end of the file.

For recipes/xvega:

  • License is not an SPDX identifier (or a custom LicenseRef) nor an SPDX license expression.

Documentation on acceptable licenses can be found here.

@conda-forge-linter
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Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipes/xvega) and found it was in an excellent condition.

@madhur-tandon madhur-tandon changed the title add recipe for xvega add xvega Aug 31, 2020
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@SylvainCorlay SylvainCorlay merged commit b07ecd4 into conda-forge:master Sep 1, 2020
@SylvainCorlay
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Thanks for the thorough review @scopatz.

dopplershift pushed a commit that referenced this pull request Dec 15, 2020
I was a bit verbose/explicit with dependencies.  I base them on what is imported by modules within the package.

`dgl` could be added as a dependency if it's added to conda-forge.  See dmlc/dgl#1855 and #12522

Even though this is a pure Python package, I run a few of the fastest tests that exercise different files, because
this package has some heavy dependencies (pytorch, pytorch_geometric, etc) and I want that warm fuzzy feeling :)

I get the tarball from github instead of PyPI, because the PyPI tarball does not (yet) contain the license file or the tests.
Currently, the github tarball is not that much larger than from PyPI.
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4 participants