| Name | wrapt JSON |
| Version |
2.0.0
JSON |
| download |
| home_page | https://github.com/GrahamDumpleton/wrapt |
| Summary | Module for decorators, wrappers and monkey patching. |
| upload_time | 2025-10-19 23:47:54 |
| maintainer | None |
| docs_url | None |
| author | Graham Dumpleton |
| requires_python | >=3.8 |
| license | Copyright (c) 2013-2025, Graham Dumpleton
All rights reserved.
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| keywords |
wrapper
proxy
decorator
|
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# wrapt
[](https://pypi.python.org/pypi/wrapt)
[](https://wrapt.readthedocs.io/)
[](LICENSE)
A Python module for decorators, wrappers and monkey patching.
## Overview
The **wrapt** module provides a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions.
The **wrapt** module focuses very much on correctness. It goes way beyond existing mechanisms such as `functools.wraps()` to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour.
To ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled.
## Features
- **Universal decorators** that work with functions, methods, classmethods, staticmethods, and classes
- **Transparent object proxies** for advanced wrapping scenarios
- **Monkey patching utilities** for safe runtime modifications
- **C extension** for optimal performance with Python fallback
- **Comprehensive introspection preservation** (signatures, annotations, etc.)
- **Thread-safe decorator implementations**
## Installation
```bash
pip install wrapt
```
## Quick Start
### Basic Decorator
```python
import wrapt
@wrapt.decorator
def pass_through(wrapped, instance, args, kwargs):
return wrapped(*args, **kwargs)
@pass_through
def function():
pass
```
### Decorator with Arguments
```python
import wrapt
def with_arguments(myarg1, myarg2):
@wrapt.decorator
def wrapper(wrapped, instance, args, kwargs):
print(f"Arguments: {myarg1}, {myarg2}")
return wrapped(*args, **kwargs)
return wrapper
@with_arguments(1, 2)
def function():
pass
```
### Universal Decorator
```python
import inspect
import wrapt
@wrapt.decorator
def universal(wrapped, instance, args, kwargs):
if instance is None:
if inspect.isclass(wrapped):
# Decorator was applied to a class
print("Decorating a class")
else:
# Decorator was applied to a function or staticmethod
print("Decorating a function")
else:
if inspect.isclass(instance):
# Decorator was applied to a classmethod
print("Decorating a classmethod")
else:
# Decorator was applied to an instancemethod
print("Decorating an instance method")
return wrapped(*args, **kwargs)
```
## Documentation
For comprehensive documentation, examples, and advanced usage patterns, visit:
**[wrapt.readthedocs.io](https://wrapt.readthedocs.io/)**
## Supported Python Versions
- Python 3.8+
- CPython
- PyPy
## Contributing
We welcome contributions! This is a pretty casual process - if you're interested in suggesting changes, improvements, or have found a bug, please reach out via the [GitHub issue tracker](https://github.com/GrahamDumpleton/wrapt/issues/). Whether it's a small fix, new feature idea, or just a question about how something works, feel free to start a discussion.
Please note that wrapt is now considered a mature project. We're not expecting any significant new developments or major feature additions. The primary focus is on ensuring that the package continues to work correctly with newer Python versions and maintaining compatibility as the Python ecosystem evolves.
### Testing
For information about running tests, including Python version-specific test conventions and available test commands, see [TESTING.md](TESTING.md).
## License
This project is licensed under the BSD License - see the [LICENSE](LICENSE) file for details.
## Links
- **Documentation**: https://wrapt.readthedocs.io/
- **PyPI**: https://pypi.python.org/pypi/wrapt
- **Issues**: https://github.com/GrahamDumpleton/wrapt/issues/
- **Changelog**: https://wrapt.readthedocs.io/en/latest/changes.html
## Related Blog Posts
This repository also contains a series of blog posts explaining the design and implementation of wrapt:
- [How you implemented your Python decorator is wrong](blog/01-how-you-implemented-your-python-decorator-is-wrong.md)
- [The interaction between decorators and descriptors](blog/02-the-interaction-between-decorators-and-descriptors.md)
- [Implementing a factory for creating decorators](blog/03-implementing-a-factory-for-creating-decorators.md)
- [Implementing a universal decorator](blog/04-implementing-a-universal-decorator.md)
- [Decorators which accept arguments](blog/05-decorators-which-accept-arguments.md)
- [Maintaining decorator state using a class](blog/06-maintaining-decorator-state-using-a-class.md)
- [The missing synchronized decorator](blog/07-the-missing-synchronized-decorator.md)
- [The synchronized decorator as context manager](blog/08-the-synchronized-decorator-as-context-manager.md)
- [Performance overhead of using decorators](blog/09-performance-overhead-of-using-decorators.md)
- [Performance overhead when applying decorators to methods](blog/10-performance-overhead-when-applying-decorators-to-methods.md)
- [Safely applying monkey patches in Python](blog/11-safely-applying-monkey-patches-in-python.md)
- [Using wrapt to support testing of software](blog/12-using-wrapt-to-support-testing-of-software.md)
- [Ordering issues when monkey patching in Python](blog/13-ordering-issues-when-monkey-patching-in-python.md)
- [Automatic patching of Python applications](blog/14-automatic-patching-of-python-applications.md)
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"description": "# wrapt\n\n[](https://pypi.python.org/pypi/wrapt)\n[](https://wrapt.readthedocs.io/)\n[](LICENSE)\n\nA Python module for decorators, wrappers and monkey patching.\n\n## Overview\n\nThe **wrapt** module provides a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions.\n\nThe **wrapt** module focuses very much on correctness. It goes way beyond existing mechanisms such as `functools.wraps()` to ensure that decorators preserve introspectability, signatures, type checking abilities etc. The decorators that can be constructed using this module will work in far more scenarios than typical decorators and provide more predictable and consistent behaviour.\n\nTo ensure that the overhead is as minimal as possible, a C extension module is used for performance critical components. An automatic fallback to a pure Python implementation is also provided where a target system does not have a compiler to allow the C extension to be compiled.\n\n## Features\n\n- **Universal decorators** that work with functions, methods, classmethods, staticmethods, and classes\n- **Transparent object proxies** for advanced wrapping scenarios\n- **Monkey patching utilities** for safe runtime modifications\n- **C extension** for optimal performance with Python fallback\n- **Comprehensive introspection preservation** (signatures, annotations, etc.)\n- **Thread-safe decorator implementations**\n\n## Installation\n\n```bash\npip install wrapt\n```\n\n## Quick Start\n\n### Basic Decorator\n\n```python\nimport wrapt\n\n@wrapt.decorator\ndef pass_through(wrapped, instance, args, kwargs):\n return wrapped(*args, **kwargs)\n\n@pass_through\ndef function():\n pass\n```\n\n### Decorator with Arguments\n\n```python\nimport wrapt\n\ndef with_arguments(myarg1, myarg2):\n @wrapt.decorator\n def wrapper(wrapped, instance, args, kwargs):\n print(f\"Arguments: {myarg1}, {myarg2}\")\n return wrapped(*args, **kwargs)\n return wrapper\n\n@with_arguments(1, 2)\ndef function():\n pass\n```\n\n### Universal Decorator\n\n```python\nimport inspect\nimport wrapt\n\n@wrapt.decorator\ndef universal(wrapped, instance, args, kwargs):\n if instance is None:\n if inspect.isclass(wrapped):\n # Decorator was applied to a class\n print(\"Decorating a class\")\n else:\n # Decorator was applied to a function or staticmethod\n print(\"Decorating a function\")\n else:\n if inspect.isclass(instance):\n # Decorator was applied to a classmethod\n print(\"Decorating a classmethod\")\n else:\n # Decorator was applied to an instancemethod\n print(\"Decorating an instance method\")\n \n return wrapped(*args, **kwargs)\n```\n\n## Documentation\n\nFor comprehensive documentation, examples, and advanced usage patterns, visit:\n\n**[wrapt.readthedocs.io](https://wrapt.readthedocs.io/)**\n\n## Supported Python Versions\n\n- Python 3.8+\n- CPython\n- PyPy\n\n## Contributing\n\nWe welcome contributions! This is a pretty casual process - if you're interested in suggesting changes, improvements, or have found a bug, please reach out via the [GitHub issue tracker](https://github.com/GrahamDumpleton/wrapt/issues/). Whether it's a small fix, new feature idea, or just a question about how something works, feel free to start a discussion.\n\nPlease note that wrapt is now considered a mature project. We're not expecting any significant new developments or major feature additions. The primary focus is on ensuring that the package continues to work correctly with newer Python versions and maintaining compatibility as the Python ecosystem evolves.\n\n### Testing\n\nFor information about running tests, including Python version-specific test conventions and available test commands, see [TESTING.md](TESTING.md).\n\n## License\n\nThis project is licensed under the BSD License - see the [LICENSE](LICENSE) file for details.\n\n## Links\n\n- **Documentation**: https://wrapt.readthedocs.io/\n- **PyPI**: https://pypi.python.org/pypi/wrapt\n- **Issues**: https://github.com/GrahamDumpleton/wrapt/issues/\n- **Changelog**: https://wrapt.readthedocs.io/en/latest/changes.html\n\n## Related Blog Posts\n\nThis repository also contains a series of blog posts explaining the design and implementation of wrapt:\n\n- [How you implemented your Python decorator is wrong](blog/01-how-you-implemented-your-python-decorator-is-wrong.md)\n- [The interaction between decorators and descriptors](blog/02-the-interaction-between-decorators-and-descriptors.md)\n- [Implementing a factory for creating decorators](blog/03-implementing-a-factory-for-creating-decorators.md)\n- [Implementing a universal decorator](blog/04-implementing-a-universal-decorator.md)\n- [Decorators which accept arguments](blog/05-decorators-which-accept-arguments.md)\n- [Maintaining decorator state using a class](blog/06-maintaining-decorator-state-using-a-class.md)\n- [The missing synchronized decorator](blog/07-the-missing-synchronized-decorator.md)\n- [The synchronized decorator as context manager](blog/08-the-synchronized-decorator-as-context-manager.md)\n- [Performance overhead of using decorators](blog/09-performance-overhead-of-using-decorators.md)\n- [Performance overhead when applying decorators to methods](blog/10-performance-overhead-when-applying-decorators-to-methods.md)\n- [Safely applying monkey patches in Python](blog/11-safely-applying-monkey-patches-in-python.md)\n- [Using wrapt to support testing of software](blog/12-using-wrapt-to-support-testing-of-software.md)\n- [Ordering issues when monkey patching in Python](blog/13-ordering-issues-when-monkey-patching-in-python.md)\n- [Automatic patching of Python applications](blog/14-automatic-patching-of-python-applications.md)\n",
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