decorator 4.3.2

Better living through Python with decorators

Author:	Michele Simionato
E-mail:	[e-mail]
Requires:	Python from 2.6 to 3.7
Download page:	http://pypi.python.org/pypi/decorator
Installation:	pip install decorator
License:	BSD license

The goal of the decorator module is to make it easy to define signature-preserving function decorators.

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.

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 http://decorator.readthedocs.io/en/latest/ You can download a PDF version of it from http://media.readthedocs.org/pdf/decorator/latest/decorator.pdf

For the impatient

Here is an example of how to define a family of decorators tracing slow operations:

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!