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weave-feedstock's Introduction

About weave

Home: https://pypi.python.org/pypi/weave

Package license: BSD-3-Clause

Feedstock license: BSD-3-Clause

Summary: Weave: a C++ compiler for Python.

Development: http://www.github.com/scipy/weave

Weave provides tools for including C/C++ code within Python code. Inlining C/C++ code within Python generally results in speedups of 1.5x to 30x over algorithms written in pure Python. Weave is the stand-alone version of the deprecated Scipy submodule scipy.weave. It is Python 2.x only, and is provided for users that need new versions of Scipy (from which the weave submodule may be removed) but have existing code that still depends on scipy.weave. For new code, users are recommended to use Cython.

Current build status

Azure
VariantStatus
linux_64_numpy1.21python3.10.____cpython variant
osx_64_numpy1.21python3.10.____cpython variant
win_64_numpy1.21python3.10.____cpython variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing weave

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

conda config --add channels conda-forge
conda config --set channel_priority strict

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

conda install weave

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

conda search weave --channel conda-forge

About conda-forge

Powered by NumFOCUS

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, AppVeyor and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

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)

Updating weave-feedstock

If you would like to improve the weave recipe or build a new package version, please fork this repository and submit 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 the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/weave-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

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.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

weave-feedstock's People

Contributors

conda-forge-admin avatar conda-forge-curator[bot] avatar duncanmmacleod avatar mariusvniekerk avatar mstimberg avatar regro-cf-autotick-bot avatar

Watchers

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weave-feedstock's Issues

Cannot be installed purely from conda-forge channels

Issue: Cannot be installed purely from conda-forge channels

PackagesNotFoundError: The following packages are not available from current channels:

  - weave -> bsddb
  - weave -> toolchain_cxx_linux-64

Reproduce with conda install weave in an environment with the nodefaults channel enabled.

Possible solution: Can you explore depending upon bsddb3 from conda-forge? I'm not sure what to do about toolchain_cxx_linux-64.


Environment (conda list):
$ conda list
# packages in environment at /home/thomas.downes/miniconda3/envs/testy:
#
# Name                    Version                   Build  Channel

Details about conda and system ( conda info ):
$ conda info
     active environment : testy
    active env location : /home/thomas.downes/miniconda3/envs/testy
            shell level : 1
       user config file : /home/thomas.downes/.condarc
 populated config files : /home/thomas.downes/miniconda3/envs/testy/.condarc
          conda version : 4.6.1
    conda-build version : not installed
         python version : 3.7.2.final.0
       base environment : /home/thomas.downes/miniconda3  (writable)
           channel URLs : https://conda.anaconda.org/conda-forge/label/gcc7/linux-64
                          https://conda.anaconda.org/conda-forge/label/gcc7/noarch
                          https://conda.anaconda.org/conda-forge/linux-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://conda.anaconda.org/nodefaults/linux-64
                          https://conda.anaconda.org/nodefaults/noarch
          package cache : /home/thomas.downes/miniconda3/pkgs
                          /home/thomas.downes/.conda/pkgs
       envs directories : /home/thomas.downes/miniconda3/envs
                          /home/thomas.downes/.conda/envs
               platform : linux-64
             user-agent : conda/4.6.1 requests/2.19.1 CPython/3.7.2 Linux/4.9.0-8-amd64 debian/9.6 glibc/2.24
                UID:GID : 43064:500
             netrc file : None
           offline mode : False

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