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