========
Overview
========
A fast and thorough lazy object proxy.
* Free software: BSD 2-Clause License
Note that this is based on `wrapt`_'s ObjectProxy with one big change: it calls a function the first time the proxy object is
used, while `wrapt.ObjectProxy` just forwards the method calls to the target object.
In other words, you use `lazy-object-proxy` when you only have the object way later and you use `wrapt.ObjectProxy` when you
want to override few methods (by subclassing) and forward everything else to the target object.
Example::
import lazy_object_proxy
def expensive_func():
from time import sleep
print('starting calculation')
# just as example for a very slow computation
sleep(2)
print('finished calculation')
# return the result of the calculation
return 10
obj = lazy_object_proxy.Proxy(expensive_func)
# function is called only when object is actually used
print(obj) # now expensive_func is called
print(obj) # the result without calling the expensive_func
Installation
============
::
pip install lazy-object-proxy
Documentation
=============
https://python-lazy-object-proxy.readthedocs.io/
Development
===========
To run all the tests run::
tox
Acknowledgements
================
This project is based on some code from `wrapt`_ as you can see in the git history.
.. _wrapt: https://github.com/GrahamDumpleton/wrapt
Changelog
=========
1.10.0 (2023-12-15)
-------------------
* Added Python 3.12 wheels.
* Dropped support for Python 3.7.
* Applied some reformatting and lint fixes using ruff to the codebase (mostly more Python 2 leftover cleanups).
1.9.0 (2023-01-04)
------------------
* Added support for matrix multiplication operator (``@``).
* Should have all the wheels now (including the manylinux ones).
* Bumped minimum version requirements for setuptools and setuptools-scm.
* Switched the default pure python fallback implementation to the "simple" one (when you ``from lazy_object_proxy import Proxy``
and the C extension is not available).
Previously the "slots" implementation was used but as it turns out it is slower on Python 3.
1.8.0 (2022-10-26)
------------------
* Cleaned up use of cPickle. Contributed by Sandro Tosi in `#62 <https://github.com/ionelmc/python-lazy-object-proxy/pull/62>`_.
* Cleaned up more dead Python 2 code.
* Added Python 3.11 wheels.
* Dropped support for Python 3.6.
1.7.1 (2021-12-15)
------------------
* Removed most of the Python 2 support code and fixed ``python_requires`` to require at least Python 3.6.
Note that 1.7.0 has been yanked because it could not install on Python 2.7.
Installing lazy-object-proxy on Python 2.7 should automatically fall back to the 1.6.0 release now.
1.7.0 (2021-12-15)
------------------
* Switched CI to GitHub Actions, this has a couple consequences:
* Support for Python 2.7 is dropped. You can still install it there but it's not tested anymore and
Python 2 specific handling will be removed at some point.
* Linux wheels are now provided in `musllinux` and `manylinux2014` variants.
* Fixed ``__index__`` to fallback to ``int`` if the wrapped object doesn't have an ``__index__`` method.
This prevents situations where code using a proxy would otherwise likely just call ``int`` had the object
not have an ``__index__`` method.
1.6.0 (2021-03-22)
------------------
* Added support for async special methods (``__aiter__``, ``__anext__``,
``__await__``, ``__aenter__``, ``__aexit__``).
These are used in the ``async for``, ``await` and ``async with`` statements.
Note that ``__await__`` returns a wrapper that tries to emulate the crazy
stuff going on in the ceval loop, so there will be a small performance overhead.
* Added the ``__resolved__`` property. You can use it to check if the factory has
been called.
1.5.2 (2020-11-26)
------------------
* Added Python 3.9 wheels.
* Removed Python 2.7 Windows wheels
(not supported on newest image with Python 3.9).
1.5.1 (2020-07-22)
------------------
* Added ARM64 wheels (manylinux2014).
1.5.0 (2020-06-05)
------------------
* Added support for ``__fspath__``.
* Dropped support for Python 3.4.
1.4.3 (2019-10-26)
------------------
* Added binary wheels for Python 3.8.
* Fixed license metadata.
1.4.2 (2019-08-22)
------------------
* Included a ``pyproject.toml`` to allow users install the sdist with old python/setuptools, as the
setuptools-scm dep will be fetched by pip instead of setuptools.
Fixes `#30 <https://github.com/ionelmc/python-lazy-object-proxy/issues/30>`_.
1.4.1 (2019-05-10)
------------------
* Fixed wheels being built with ``-coverage`` cflags. No more issues about bogus ``cext.gcda`` files.
* Removed useless C file from wheels.
* Changed ``setup.py`` to use setuptools-scm.
1.4.0 (2019-05-05)
------------------
* Fixed ``__mod__`` for the slots backend. Contributed by Ran Benita in
`#28 <https://github.com/ionelmc/python-lazy-object-proxy/pull/28>`_.
* Dropped support for Python 2.6 and 3.3. Contributed by "hugovk" in
`#24 <https://github.com/ionelmc/python-lazy-object-proxy/pull/24>`_.
1.3.1 (2017-05-05)
------------------
* Fix broken release (``sdist`` had a broken ``MANIFEST.in``).
1.3.0 (2017-05-02)
------------------
* Speed up arithmetic operations involving ``cext.Proxy`` subclasses.
1.2.2 (2016-04-14)
------------------
* Added `manylinux <https://www.python.org/dev/peps/pep-0513/>`_ wheels.
* Minor cleanup in readme.
1.2.1 (2015-08-18)
------------------
* Fix a memory leak (the wrapped object would get bogus references). Contributed by Astrum Kuo in
`#10 <https://github.com/ionelmc/python-lazy-object-proxy/pull/10>`_.
1.2.0 (2015-07-06)
------------------
* Don't instantiate the object when __repr__ is called. This aids with debugging (allows one to see exactly in
what state the proxy is).
1.1.0 (2015-07-05)
------------------
* Added support for pickling. The pickled value is going to be the wrapped object *without* any Proxy container.
* Fixed a memory management issue in the C extension (reference cycles weren't garbage collected due to improper
handling in the C extension). Contributed by Alvin Chow in
`#8 <https://github.com/ionelmc/python-lazy-object-proxy/pull/8>`_.
1.0.2 (2015-04-11)
-----------------------------------------
* First release on PyPI.
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