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Metadata-Version: 2.4
Name: pytokens
Version: 0.4.0
Summary: A Fast, spec compliant Python 3.14+ tokenizer that runs on older Pythons.
Author-email: Tushar Sadhwani <tushar.sadhwani000@gmail.com>
License: MIT License
Copyright (c) 2024 Tushar Sadhwani
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Project-URL: Homepage, https://github.com/tusharsadhwani/pytokens
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Typing :: Typed
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: dev
Requires-Dist: black; extra == "dev"
Requires-Dist: build; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: setuptools; extra == "dev"
Requires-Dist: tox; extra == "dev"
Requires-Dist: twine; extra == "dev"
Requires-Dist: wheel; extra == "dev"
Dynamic: license-file
# pytokens
A Fast, spec compliant Python 3.14+ tokenizer that runs on older Pythons.
## Installation
```bash
pip install pytokens
```
## Usage
```bash
python -m pytokens path/to/file.py
```
## Local Development / Testing
- Create and activate a virtual environment
- Run `PYTOKENS_USE_MYPYC=0 pip install -e '.[dev]'` to do an editable install
- Run `pytest` to run tests
## Type Checking
Run `mypy .`
## Compilation with mypyc
By default, we compile with mypyc.
Use the `PYTOKENS_USE_MYPYC` environment variable to control this.
To check if you are using a compiled version, see whether the output of this is `.py` or `.so`:
```bash
python -c "import pytokens; print(pytokens.__file__)"
```
## Create and upload a package to PyPI
1. Make sure to bump the version in `pyproject.toml`.
2. Push to Github so CI can build the wheels and sdist.
3. Download the artifacts from the CI run.
- Find the "Build wheels" job, click "Summary", scroll down to the bottom to see "Artifacts"
and download the `cibw-wheels` artifact.
4. Unzip the artifact.
5. Upload the contents of the artifact to PyPI
- e.g. via `twine upload cibw-wheels/*`
|
