🚀 Big News: Socket Acquires Coana to Bring Reachability Analysis to Every Appsec Team.Learn more
Socket
Book a DemoInstallSign in
Socket

genericfuncs

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

genericfuncs

Dynamic dispatch over arbitrary predicates

0.2.0
PyPI
Maintainers
1

genericfuncs

:code:genericfuncs allows you to create functions which execute different implementations depending on the arguments.

This module can be seen as a powerful improvement over Python 3's :code:singledispatch:

  • Allows dispatch over any boolean callable, not just type checks.
  • Allows dispatch over any number of arguments, not just the first argument.

Basic usage

from genericfuncs import generic

@generic
def func(a):
    # default implementation
    raise ValueError()

@func.when(lambda a: a.startswith('foo')):
def _impl_1(a):
    return a.upper()

@func.when(lambda a: a.startswith('bar')):
def _impl_2(a):
    return a.lower()

The first predicate that returns True has its mapped implementation invoked. Predicates are checked in order of definition.

Installation

:code:pip install genericfuncs

Advanced

Arguments are injected into predicates and implementations by their name. This means a predicate or implementation is able to specify only the arguments it needs. For example::

@generic
def multiple_params_func(a, b, c):
    return a + b + c  # default implementation

@multiple_params_func.when(lambda b: b > 10)  # only inject argument `b` to the predicate
def _when_b_greater_than_10(a):  # only inject `a` to the implementation
    return a * 10

@multiple_params_func.when(lambda a, b: a % b == 0)  # only inject `a` and `b`
def _when_a_divisible_by_c(a, b, c):  # use all arguments
    return a / b * c

However the call site must list all mandatory arguments, as usual in Python::

multiple_params_func(10, 20, 30) --> 100  # _when_b_great_than_10() invoked
multiple_params_func(4, 2, 'bla') --> 'blabla'  # _when_a_divisible_by_c() invoked
multiple_params_func(0, 0, 0) --> 0  # default implementation invoked

When defining a predicate, one can list exception types that should not propagate if raised inside the predicate. For example::

@my_generic_func.when(lambda a: a > 10, ignored_errors=[TypeError])
def _implementation(a):
    ...

When invoking :code:my_generic_func(MyThing()), a :code:TypeError will be raised inside the predicate because :code:MyThing doesn't support :code:> operator. Normally, the error would propagate and crash the program. Specifying :code:ignored_errors=[TypeError] makes the error be silently ignored, moving on to the next predicate.

Keywords

generic functions utility programming development

FAQs

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts