Skip to main content

Back-port compiler for Python 3.8 assignment expressions.

Project description

walrus

PyPI - Downloads PyPI - Version PyPI - Format PyPI - Python Version

Travis CI - Status Codecov - Coverage License LICENSE

Write assignment expressions in Python 3.8 flavour, and let walrus worry about back-port issues :beer:

  Since PEP 572, Python introduced assignment expressions syntax in version 3.8. For those who wish to use assignment expressions in their code, walrus provides an intelligent, yet imperfect, solution of a backport compiler by replacing assignment expressions syntax with old-fashioned assignment-then-conditional syntax, which guarantees you to always write assignment expressions in Python 3.8 flavour then compile for compatibility later.

NB: walrus currently can only support assignment expressions used in if statements.

Installation

Note that walrus only supports Python versions since 3.3 🐍

  For macOS users, walrus is now available through Homebrew:

brew tap jarryshaw/tap
brew install walrus
# or simply, a one-liner
brew install jarryshaw/tap/walrus

  Simply run the following to install the current version from PyPI:

pip install python-walrus

  Or install the latest version from the git repository:

git clone https://github.com/JarryShaw/walrus.git
cd walrus
pip install -e .
# and to update at any time
git pull

Basic Usage

CLI

  It is fairly straightforward to use walrus:

context in ${...} changes dynamically according to runtime environment

usage: walrus [options] <python source files and folders...>

Back-port compiler for Python 3.8 assignment expressions.

positional arguments:
  SOURCE                python source files and folders to be converted (${CWD})

optional arguments:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit
  -q, --quiet           run in quiet mode

archive options:
  duplicate original files in case there's any issue

  -n, --no-archive      do not archive original files
  -p PATH, --archive-path PATH
                        path to archive original files (${CWD}/archive)

convert options:
  compatibility configuration for none-unicode files

  -c CODING, --encoding CODING
                        encoding to open source files (${LOCALE_ENCODING})
  -v VERSION, --python VERSION
                        convert against Python version (${LATEST_VERSION})
  -s SEP, --linesep SEP
                        line separator to process source files (${OS_LINESEP})
  -nl, --no-linting     do not lint converted codes

walrus will read then convert all assignment expressions syntax in every Python file under this path. In case there might be some problems with the conversion, walrus will duplicate all original files it is to modify into archive directory ahead of the process, if -n not set.

  Besides, to keep consistency of API to users, walrus ships with a decorator for such functions to check assignment expressions at runtime, if -nl not set.

Developer Reference

Environments

walrus currently supports three environment arguments:

  • WALRUS_QUIET -- run in quiet mode (same as --quiet option in CLI)
  • WALRUS_VERSION -- convert against Python version (same as --python option in CLI)
  • WALRUS_ENCODING -- encoding to open source files (same as --encoding option in CLI)
  • WALRUS_LINESEP -- line separator to process source files (same as --linesep option in CLI)
  • WALRUS_LINTING -- lint converted codes (same as --linting option in CLI)

APIs

walrus -- wrapper works for conversion

walrus(filename)

Args:

  • filename -- str, file to be converted

Envs:

  • WALRUS_QUIET -- run in quiet mode (same as --quiet option in CLI)
  • WALRUS_ENCODING -- encoding to open source files (same as --encoding option in CLI)
  • WALRUS_VERSION-- convert against Python version (same as --python option in CLI)
  • WALRUS_LINESEP -- line separator to process source files (same as --linesep option in CLI)
  • WALRUS_LINTING -- lint converted codes (same as --linting option in CLI)

Raises:

  • ConvertError -- when parso.ParserSyntaxError raised

convert -- the main conversion process

convert(string, source='<unknown>')

Args:

  • string -- str, context to be converted
  • source -- str, source of the context

Envs:

  • WALRUS_VERSION-- convert against Python version (same as --python option in CLI)
  • WALRUS_LINESEP -- line separator to process source files (same as --linesep option in CLI)
  • WALRUS_LINTING -- lint converted codes (same as --linting option in CLI)

Returns:

  • str -- converted string

Raises:

  • ConvertError -- when parso.ParserSyntaxError raised

ConvertError -- walrus internal exception

class ConvertError(SyntaxError):
    pass

Test

  See test.py.

Contribution

  Contributions are very welcome, especially fixing bugs and providing test cases. Note that code must remain valid and reasonable.

See Also

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

python-walrus-0.1.0.tar.gz (16.2 kB view details)

Uploaded Source

Built Distribution

python_walrus-0.1.0-py3-none-any.whl (13.1 kB view details)

Uploaded Python 3

File details

Details for the file python-walrus-0.1.0.tar.gz.

File metadata

  • Download URL: python-walrus-0.1.0.tar.gz
  • Upload date:
  • Size: 16.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.5

File hashes

Hashes for python-walrus-0.1.0.tar.gz
Algorithm Hash digest
SHA256 f9600d2b046a34ae015ae39d6d354b43e6d4ca92d315e1733cbbde17de1d6b9f
MD5 7b5fe7505fdf1a5a037257a8f2facc9b
BLAKE2b-256 98a69478dbff9668c803d87f7932e8f799a215b35958f2ebf197ee97b1d57763

See more details on using hashes here.

File details

Details for the file python_walrus-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: python_walrus-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 13.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.5

File hashes

Hashes for python_walrus-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 421a2209b6b25a1cce0d801faee0025f9bf955271148cab95a12ce92612fbb2c
MD5 3557f1a0fad630c76c8a9f539dd57c85
BLAKE2b-256 4f8aab11ff09e528779ca9c781a0da12be7996d38ea9e6a5ec3d390bc7449027

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page