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.. image:: https://travis-ci.org/takluyver/backcall.png?branch=master :target: https://travis-ci.org/takluyver/backcall
Specifications for callback functions passed in to an API
If your code lets other people supply callback functions, it's important to specify the function signature you expect, and check that functions support that. Adding extra parameters later would break other peoples code unless you're careful.
backcall provides a way of specifying the callback signature using a prototype function::
from backcall import callback_prototype
@callback_prototype
def handle_ping(sender, delay=None):
# Specify positional parameters without a default, and keyword
# parameters with a default.
pass
def register_ping_handler(callback):
# This checks and adapts the function passed in:
callback = handle_ping.adapt(callback)
ping_callbacks.append(callback)
If the callback takes fewer parameters than your prototype, backcall will wrap it in a function that discards the extra arguments. If the callback expects more arguments, a TypeError is thrown when it is registered.
For more details, see the docs <http://backcall.readthedocs.org/en/latest/>
_ or
the Demo notebook <http://nbviewer.ipython.org/github/takluyver/backcall/blob/master/Demo.ipynb>
_.
The tests are run with pytest <http://pytest.org/latest/>
_. In the root directory,
execute::
py.test
FAQs
Specifications for callback functions passed in to an API
We found that backcall demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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