1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
|
Decorator module
=================
:Author: Michele Simionato
:E-mail: michele.simionato@gmail.com
: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.
.. _tarball: http://pypi.python.org/pypi/decorator
.. _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 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:
.. 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!
|
