Metadata-Version: 2.1 Name: lazy-object-proxy Version: 1.7.1 Summary: A fast and thorough lazy object proxy. Home-page: https://github.com/ionelmc/python-lazy-object-proxy Author: Ionel Cristian Mărieș Author-email: contact@ionelmc.ro License: BSD-2-Clause Project-URL: Documentation, https://python-lazy-object-proxy.readthedocs.io/ Project-URL: Changelog, https://python-lazy-object-proxy.readthedocs.io/en/latest/changelog.html Project-URL: Issue Tracker, https://github.com/ionelmc/python-lazy-object-proxy/issues Platform: UNKNOWN Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: BSD License Classifier: Operating System :: Unix Classifier: Operating System :: POSIX Classifier: Operating System :: Microsoft :: Windows Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3 :: Only Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: Implementation :: CPython Classifier: Programming Language :: Python :: Implementation :: PyPy Classifier: Topic :: Utilities Requires-Python: >=3.6 License-File: LICENSE License-File: AUTHORS.rst ======== 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 ========= 1.7.1 (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 `_. 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 `_. * Dropped support for Python 2.6 and 3.3. Contributed by "hugovk" in `#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 `_ 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 `_. 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 `_. 1.0.2 (2015-04-11) ----------------------------------------- * First release on PyPI.