https://github.com/micheles/decorator

decorator
https://github.com/micheles/decorator

metaprogramming python

Last synced: 3 months ago
JSON representation

decorator

• Host: GitHub
• URL: https://github.com/micheles/decorator
• Owner: micheles
• License: bsd-2-clause
• Created: 2013-11-24T05:55:49.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2024-02-15T16:49:34.000Z (4 months ago)
• Last Synced: 2024-03-05T00:04:01.143Z (4 months ago)
• Topics: metaprogramming, python
• Language: Python
• Size: 1.85 MB
• Stars: 803
• Watchers: 24
• Forks: 105
• Open Issues: 15
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGES.md
  • License: LICENSE.txt

Lists

• awesome-stars - micheles/decorator - decorator (Python)
• awesome-python-decorator - decorator
• best-of-python - GitHub - 14% open · ⏱️ 23.08.2023): (Others)
• awesome-stars - micheles/decorator - decorator (Python)
• awesome-stars-copy - micheles/decorator - decorator (Python)

README

        
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.warning('%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!