132 lines
4.1 KiB
Plaintext
132 lines
4.1 KiB
Plaintext
Metadata-Version: 2.1
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Name: decorator
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Version: 4.4.2
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Summary: Decorators for Humans
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Home-page: https://github.com/micheles/decorator
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Author: Michele Simionato
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Author-email: michele.simionato@gmail.com
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License: new BSD License
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Keywords: decorators generic utility
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Platform: All
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Natural Language :: English
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 2
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Classifier: Programming Language :: Python :: 2.6
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.2
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Classifier: Programming Language :: Python :: 3.3
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Classifier: Programming Language :: Python :: 3.4
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Classifier: Programming Language :: Python :: 3.5
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: Implementation :: CPython
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Classifier: Topic :: Software Development :: Libraries
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Classifier: Topic :: Utilities
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Requires-Python: >=2.6, !=3.0.*, !=3.1.*
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Decorators for Humans
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=====================
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The goal of the decorator module is to make it easy to define
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signature-preserving function decorators and decorator factories.
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It also includes an implementation of multiple dispatch and other niceties
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(please check the docs). It is released under a two-clauses
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BSD license, i.e. basically you can do whatever you want with it but I am not
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responsible.
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Installation
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-------------
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If you are lazy, just perform
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``$ pip install decorator``
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which will install just the module on your system.
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If you prefer to install the full distribution from source, including
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the documentation, clone the `GitHub repo`_ or download the tarball_, unpack it and run
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``$ pip install .``
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in the main directory, possibly as superuser.
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.. _tarball: https://pypi.org/project/decorator/#files
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.. _GitHub repo: https://github.com/micheles/decorator
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Testing
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--------
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If you have the source code installation you can run the tests with
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`$ python src/tests/test.py -v`
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or (if you have setuptools installed)
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`$ python setup.py test`
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Notice that you may run into trouble if in your system there
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is an older version of the decorator module; in such a case remove the
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old version. It is safe even to copy the module `decorator.py` over
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an existing one, since we kept backward-compatibility for a long time.
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Repository
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---------------
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The project is hosted on GitHub. You can look at the source here:
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https://github.com/micheles/decorator
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Documentation
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---------------
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The documentation has been moved to https://github.com/micheles/decorator/blob/master/docs/documentation.md
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From there you can get a PDF version by simply using the print
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functionality of your browser.
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Here is the documentation for previous versions of the module:
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https://github.com/micheles/decorator/blob/4.3.2/docs/tests.documentation.rst
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https://github.com/micheles/decorator/blob/4.2.1/docs/tests.documentation.rst
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https://github.com/micheles/decorator/blob/4.1.2/docs/tests.documentation.rst
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https://github.com/micheles/decorator/blob/4.0.0/documentation.rst
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https://github.com/micheles/decorator/blob/3.4.2/documentation.rst
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For the impatient
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-----------------
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Here is an example of how to define a family of decorators tracing slow
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operations:
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.. code-block:: python
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from decorator import decorator
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@decorator
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def warn_slow(func, timelimit=60, *args, **kw):
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t0 = time.time()
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result = func(*args, **kw)
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dt = time.time() - t0
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if dt > timelimit:
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logging.warn('%s took %d seconds', func.__name__, dt)
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else:
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logging.info('%s took %d seconds', func.__name__, dt)
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return result
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@warn_slow # warn if it takes more than 1 minute
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def preprocess_input_files(inputdir, tempdir):
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...
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@warn_slow(timelimit=600) # warn if it takes more than 10 minutes
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def run_calculation(tempdir, outdir):
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...
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Enjoy!
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