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Initial commit of the pynfft feedstock.
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Travis-CI on github.com/conda-forge/staged-recipes committed May 11, 2016
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3 changes: 3 additions & 0 deletions .gitignore
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*.pyc

build_artefacts
43 changes: 43 additions & 0 deletions .travis.yml
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# This file was generated automatically from conda-smithy. To update this configuration,
# update the conda-forge.yaml and/or the recipe/meta.yaml.

language: objective-c

env:
matrix:

- CONDA_NPY=110 CONDA_PY=27
- CONDA_NPY=111 CONDA_PY=27
- CONDA_NPY=110 CONDA_PY=34
- CONDA_NPY=111 CONDA_PY=34
- CONDA_NPY=110 CONDA_PY=35
- CONDA_NPY=111 CONDA_PY=35


before_install:
# Remove homebrew.
- brew remove --force $(brew list)
- brew cleanup -s
- rm -rf $(brew --cache)

install:
- |
MINICONDA_URL="http://repo.continuum.io/miniconda"
MINICONDA_FILE="Miniconda3-latest-MacOSX-x86_64.sh"
curl -O "${MINICONDA_URL}/${MINICONDA_FILE}"
bash $MINICONDA_FILE -b
export PATH=/Users/travis/miniconda3/bin:$PATH
conda config --set show_channel_urls true
conda update --yes conda
conda install --yes conda-build=1.20.0 jinja2 anaconda-client
conda config --add channels conda-forge
script:
- conda build ./recipe

after_success:

- ./ci_support/upload_or_check_non_existence.py ./recipe conda-forge --channel=main
13 changes: 13 additions & 0 deletions LICENSE
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BSD 3-clause license
Copyright (c) conda-forge
All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
97 changes: 97 additions & 0 deletions README.md
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About pynfft
============

Home: https://github.com/ghisvail/pyNFFT.git

Package license: GPLv3

Feedstock license: BSD 3-Clause

Summary: Pythonic bindings around the NFFT library



Installing pynfft
=================

Installing pynfft from the conda-forge channel can be achieved by adding conda-forge to your channels with:

```
conda config --add channels conda-forge
```

Once the conda-forge channel has been enabled, pynfft can be installed with:

```
conda install pynfft
```

It is possible to list all of the versions of pynfft available on your platform with:

```
conda search pynfft --channel conda-forge
```


About conda-forge
=================

conda-forge is a community-led conda channel of installable packages.
In order to provide high-quality builds, the process has been automated into the
conda-forge GitHub organization. The conda-forge organization contains one repository
for each of the installable packages. Such a repository is known as a *feedstock*.

A feedstock is made up of a conda recipe (the instructions on what and how to build
the package) and the necessary configurations for automatic building using freely
available continuous integration services. Thanks to the awesome service provided by
[CircleCI](https://circleci.com/), [AppVeyor](http://www.appveyor.com/)
and [TravisCI](https://travis-ci.org/) it is possible to build and upload installable
packages to the [conda-forge](https://anaconda.org/conda-forge)
[Anaconda-Cloud](http://docs.anaconda.org/) channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance
[conda-smithy](http://github.com/conda-forge/conda-smithy) has been developed.
Using the ``conda-forge.yml`` within this repository, it is possible to regenerate all of
this feedstock's supporting files (e.g. the CI configuration files) with ``conda smithy regenerate``.


Terminology
===========

**feedstock** - the conda recipe (raw material), supporting scripts and CI configuration.

**conda-smithy** - the tool which helps orchestrate the feedstock.
Its primary use is in the construction of the CI ``.yml`` files
and simplify the management of *many* feedstocks.

**conda-forge** - the place where the feedstock and smithy live and work to
produce the finished article (built conda distributions)

Current build status
====================
Linux: [![Circle CI](https://circleci.com/gh/conda-forge/pynfft-feedstock.svg?style=svg)](https://circleci.com/gh/conda-forge/pynfft-feedstock)
OSX: [![TravisCI](https://travis-ci.org/conda-forge/pynfft-feedstock.svg?branch=master)](https://travis-ci.org/conda-forge/pynfft-feedstock)
Windows: [![AppVeyor](https://ci.appveyor.com/api/projects/status/github/conda-forge/pynfft-feedstock?svg=True)](https://ci.appveyor.com/project/conda-forge/pynfft-feedstock/branch/master)

Current release info
====================
Version: [![Anaconda-Server Badge](https://anaconda.org/conda-forge/pynfft/badges/version.svg)](https://anaconda.org/conda-forge/pynfft)
Downloads: [![Anaconda-Server Badge](https://anaconda.org/conda-forge/pynfft/badges/downloads.svg)](https://anaconda.org/conda-forge/pynfft)


Updating pynfft-feedstock
=========================

If you would like to improve the pynfft recipe, please take the normal
route of forking this repository and submitting a PR. Upon submission, your changes will
be run on the appropriate platforms to give the reviewer an opportunity to confirm that the
changes result in a successful build. Once merged, the recipe will be re-built and uploaded
automatically to the conda-forge channel, whereupon they will be available for everybody to
install and use.

In order to produce a uniquely identifiable distribution:
* If the version of a package **is not** being increased, please add or increase
the [``build/number``](http://conda.pydata.org/docs/building/meta-yaml.html#build-number-and-string).
* If the version of a package **is** being increased, please remember to return
the [``build/number``](http://conda.pydata.org/docs/building/meta-yaml.html#build-number-and-string)
back to 0.
88 changes: 88 additions & 0 deletions ci_support/run_docker_build.sh
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#!/usr/bin/env bash

# PLEASE NOTE: This script has been automatically generated by conda-smithy. Any changes here
# will be lost next time ``conda smithy rerender`` is run. If you would like to make permanent
# changes to this script, consider a proposal to conda-smithy so that other feedstocks can also
# benefit from the improvement.

FEEDSTOCK_ROOT=$(cd "$(dirname "$0")/.."; pwd;)
RECIPE_ROOT=$FEEDSTOCK_ROOT/recipe

docker info

config=$(cat <<CONDARC
channels:
- conda-forge
- defaults # As we need conda-build
conda-build:
root-dir: /feedstock_root/build_artefacts
show_channel_urls: true
CONDARC
)

cat << EOF | docker run -i \
-v ${RECIPE_ROOT}:/recipe_root \
-v ${FEEDSTOCK_ROOT}:/feedstock_root \
-a stdin -a stdout -a stderr \
pelson/obvious-ci:latest_x64 \
bash || exit $?
export BINSTAR_TOKEN=${BINSTAR_TOKEN}
export PYTHONUNBUFFERED=1
echo "$config" > ~/.condarc
# A lock sometimes occurs with incomplete builds. The lock file is stored in build_artefacts.
conda clean --lock
conda update --yes --all
conda install --yes conda-build==1.18.2
conda info
# Embarking on 6 case(s).
set -x
export CONDA_NPY=110
export CONDA_PY=27
set +x
conda build /recipe_root --quiet || exit 1
/feedstock_root/ci_support/upload_or_check_non_existence.py /recipe_root conda-forge --channel=main || exit 1
set -x
export CONDA_NPY=111
export CONDA_PY=27
set +x
conda build /recipe_root --quiet || exit 1
/feedstock_root/ci_support/upload_or_check_non_existence.py /recipe_root conda-forge --channel=main || exit 1
set -x
export CONDA_NPY=110
export CONDA_PY=34
set +x
conda build /recipe_root --quiet || exit 1
/feedstock_root/ci_support/upload_or_check_non_existence.py /recipe_root conda-forge --channel=main || exit 1
set -x
export CONDA_NPY=111
export CONDA_PY=34
set +x
conda build /recipe_root --quiet || exit 1
/feedstock_root/ci_support/upload_or_check_non_existence.py /recipe_root conda-forge --channel=main || exit 1
set -x
export CONDA_NPY=110
export CONDA_PY=35
set +x
conda build /recipe_root --quiet || exit 1
/feedstock_root/ci_support/upload_or_check_non_existence.py /recipe_root conda-forge --channel=main || exit 1
set -x
export CONDA_NPY=111
export CONDA_PY=35
set +x
conda build /recipe_root --quiet || exit 1
/feedstock_root/ci_support/upload_or_check_non_existence.py /recipe_root conda-forge --channel=main || exit 1
EOF
124 changes: 124 additions & 0 deletions ci_support/upload_or_check_non_existence.py
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#!/usr/bin/env python
from __future__ import print_function

import argparse
import hashlib
import os
import subprocess
import sys

from binstar_client.utils import get_binstar
import binstar_client.errors
import conda.config
from conda_build.metadata import MetaData
from conda_build.build import bldpkg_path


def built_distribution_already_exists(cli, meta, owner):
"""
Checks to see whether the built recipe (aka distribution) already
exists on the owner/user's binstar account.
"""
distro_name = '{}/{}.tar.bz2'.format(conda.config.subdir, meta.dist())
fname = bldpkg_path(meta)
try:
dist_info = cli.distribution(owner, meta.name(), meta.version(),
distro_name)
except binstar_client.errors.NotFound:
dist_info = {}

exists = bool(dist_info)
# Unfortunately, we cannot check the md5 quality of the built distribution, as
# this will depend on fstat information such as modification date (because
# distributions are tar files). Therefore we can only assume that the distribution
# just built, and the one on anaconda.org are the same.
# if exists:
# md5_on_binstar = dist_info.get('md5')
# with open(fname, 'rb') as fh:
# md5_of_build = hashlib.md5(fh.read()).hexdigest()
#
# if md5_on_binstar != md5_of_build:
# raise ValueError('This build ({}), and the build already on binstar '
# '({}) are different.'.format(md5_of_build, md5_on_binstar))
return exists


def upload(cli, meta, owner, channels):
try:
with open('binstar.token', 'w') as fh:
fh.write(cli.token)
subprocess.check_call(['anaconda', '--quiet', '-t', 'binstar.token',
'upload', bldpkg_path(meta),
'--user={}'.format(owner),
'--channel={}'.format(channels)],
env=os.environ)
finally:
os.remove('binstar.token')


def distribution_exists_on_channel(binstar_cli, meta, owner, channel='main'):
"""
Determine whether a distribution exists on a specific channel.
Note from @pelson: As far as I can see, there is no easy way to do this on binstar.
"""
fname = '{}/{}.tar.bz2'.format(conda.config.subdir, meta.dist())
distributions_on_channel = [dist['basename'] for dist in
binstar_cli.show_channel(owner=owner, channel=channel)['files']]
return fname in distributions_on_channel


def add_distribution_to_channel(binstar_cli, meta, owner, channel='main'):
"""
Add a(n already existing) distribution on binstar to another channel.
Note - the addition is done based on name and version - no build strings etc.
so if you have a foo-0.1-np18 and foo-0.1-np19 *both* will be added to the channel.
"""
package_fname = '{}/{}.tar.bz2'.format(conda.config.subdir, meta.dist())
binstar_cli.add_channel(channel, owner, meta.name(), meta.version())


def main():
token = os.environ.get('BINSTAR_TOKEN')

description = ('Upload or check consistency of a built version of a '
'conda recipe with binstar. Note: The existence of the '
'BINSTAR_TOKEN environment variable determines '
'whether the upload should actually take place.')
parser = argparse.ArgumentParser(description=description)
parser.add_argument('recipe_dir', help='the conda recipe directory')
parser.add_argument('owner', help='the binstar owner/user')
parser.add_argument('--channel', help='the binstar channel', default='main')
args = parser.parse_args()
recipe_dir, owner, channel = args.recipe_dir, args.owner, args.channel

cli = get_binstar(argparse.Namespace(token=token, site=None))
meta = MetaData(recipe_dir)
if meta.skip():
print("No upload to take place - this configuration was skipped in build/skip.")
return
exists = built_distribution_already_exists(cli, meta, owner)
if token:
on_channel = distribution_exists_on_channel(cli, meta, owner, channel)
if not exists:
upload(cli, meta, owner, channel)
print('Uploaded {}'.format(bldpkg_path(meta)))
elif not on_channel:
print('Adding distribution {} to {}\'s {} channel'
''.format(bldpkg_path(meta), owner, channel))
add_distribution_to_channel(cli, meta, owner, channel)
else:
print('Distribution {} already \nexists on {}\'s {} channel.'
''.format(bldpkg_path(meta), owner, channel))
else:
print("No BINSTAR_TOKEN present, so no upload is taking place. "
"The distribution just built {} already available on {}'s "
"{} channel.".format('is' if exists else 'is not',
owner, channel))

if __name__ == '__main__':
main()
15 changes: 15 additions & 0 deletions circle.yml
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machine:
services:
- docker

dependencies:
# Note, we used to use the naive caching of docker images, but found that it was quicker
# just to pull each time. #rollondockercaching
override:
- docker pull pelson/obvious-ci:latest_x64
# - docker pull pelson/conda32_obvious_ci

test:
override:
# Run, test and (if we have a BINSTAR_TOKEN) upload the distributions.
- ./ci_support/run_docker_build.sh
1 change: 1 addition & 0 deletions conda-forge.yml
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[]

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