xhochy / mypy-feedstock

A conda-smithy repository for mypy.

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About mypy-feedstock

Feedstock license: BSD-3-Clause

About mypy

Home: http://mypy-lang.org

Package license: MIT

Summary: Optional static typing for Python

Development: https://github.com/python/mypy

Documentation: http://mypy.readthedocs.io

Add type annotations to your Python programs, and use mypy to type check them. Mypy is essentially a Python linter on steroids, and it can catch many programming errors by analyzing your program, without actually having to run it. Mypy has a powerful type system with features such as type inference, gradual typing, generics and union types.

About mypyc

Home: https://mypyc.readthedocs.io

Package license: MIT

Summary: Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code.

Development: https://github.com/python/mypy/blob/master/mypyc

The compiled language is a strict, gradually typed Python variant. It restricts the use of some dynamic Python features to gain performance, but it's mostly compatible with standard Python.

Mypyc uses mypy to perform type checking and type inference. Most type system features in the stdlib typing module are supported.

Compiled modules can import arbitrary Python modules and third-party libraries. You can compile anything from a single performance-critical module to your entire codebase. You can run the modules you compile also as normal, interpreted Python modules.

Existing code with type annotations is often 1.5x to 5x faster when compiled. Code tuned for mypyc can be 5x to 10x faster.

Mypyc currently aims to speed up non-numeric code, such as server applications. Mypyc is also used to compile itself (and mypy).

Current build status

Azure
VariantStatus
linux_64_python3.10.____cpython variant
linux_64_python3.11.____cpython variant
linux_64_python3.12.____cpython variant
linux_64_python3.8.____cpython variant
linux_64_python3.9.____cpython variant
linux_aarch64_python3.10.____cpython variant
linux_aarch64_python3.11.____cpython variant
linux_aarch64_python3.12.____cpython variant
linux_aarch64_python3.8.____cpython variant
linux_aarch64_python3.9.____cpython variant
linux_ppc64le_python3.10.____cpython variant
linux_ppc64le_python3.11.____cpython variant
linux_ppc64le_python3.12.____cpython variant
linux_ppc64le_python3.8.____cpython variant
linux_ppc64le_python3.9.____cpython variant
osx_64_python3.10.____cpython variant
osx_64_python3.11.____cpython variant
osx_64_python3.12.____cpython variant
osx_64_python3.8.____cpython variant
osx_64_python3.9.____cpython variant
osx_arm64_python3.10.____cpython variant
osx_arm64_python3.11.____cpython variant
osx_arm64_python3.12.____cpython variant
osx_arm64_python3.8.____cpython variant
osx_arm64_python3.9.____cpython variant
win_64_python3.10.____cpython variant
win_64_python3.11.____cpython variant
win_64_python3.12.____cpython variant
win_64_python3.8.____cpython variant
win_64_python3.9.____cpython variant

Current release info

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

Installing mypy

Installing mypy 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, mypy, mypyc can be installed with conda:

conda install mypy mypyc

or with mamba:

mamba install mypy mypyc

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

conda search mypy --channel conda-forge

or with mamba:

mamba search mypy --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search mypy --channel conda-forge

# List packages depending on `mypy`:
mamba repoquery whoneeds mypy --channel conda-forge

# List dependencies of `mypy`:
mamba repoquery depends mypy --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 Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org 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 mypy-feedstock

If you would like to improve the mypy 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/mypy-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

About

A conda-smithy repository for mypy.

License:BSD 3-Clause "New" or "Revised" License


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Language:Python 100.0%