Advanded descriptors for special cases.

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  • License: Apache Software License (Apache License, Version 2.0)
  • Author: Alexey Stepanov
  • Tags descriptor
Classifiers

Project description

Advanced descriptors

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This package includes helpers for special cases:

  • SeparateClassMethod - allow to have classmethod and normal method both with the same name.

  • AdvancedProperty - property with possibility to set class wide getter.

SeparateClassMethod

This descriptor can be set using standard decorator syntax. Create instance with arguments:

def imeth(instance):
    return instance.value

def cmeth(owner):
    return owner.value

class Target(object):
    value = 1

    def __init__(self):
        self.value = 2
    getval = advanced_descriptors.SeparateClassMethod(
        imeth, cmeth
    )

Create instance wrapping as decorator:

class Target(object):
    value = 1

    def __init__(self):
        self.value = 2

    @advanced_descriptors.SeparateClassMethod
    def getval(self):
        return self.value

    @getval.class_method
    def getval(cls):
        return cls.value

Cases with method only and classmethod only is useless: method as-is and @classmethod should be used in corresponding cases.

AdvancedProperty

This descriptor should be used in cases, when in addition to normal property API, class getter is required. If class-wide setter and deleter also required - you should use standard propery in metaclass.

Usage examples:

  1. In addition to normal property API:

    class Target(object):
    _value = 777

    def __init__(self):
        self._value = 42

    @advanced_descriptors.AdvancedProperty
    def val(self):
        return self._value

    @val.setter
    def val(self, value):
        self._value = value

    @val.deleter
    def val(self):
        self._value = 0

    @val.cgetter
    def val(cls):
        return cls._value

  2. Use class-wide getter for instance too:

    class Target(object):

    _value = 1

    val = advanced_descriptors.AdvancedProperty()

    @val.cgetter
    def val(cls):

    return cls._value

Testing

The main test mechanism for the package advanced-descriptors is using tox. Test environments available:

pep8
py27
py34
py35
py36
pypy
pypy3
pylint
pep257

CI systems

For code checking several CI systems is used in parallel:

  1. Travis CI: is used for checking: PEP8, pylint, bandit, installation possibility and unit tests. Also it’s publishes coverage on coveralls.

  2. coveralls: is used for coverage display.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for penguinolog from gravatar.com penguinolog

Unverified details

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Project links
Meta
  • License: Apache Software License (Apache License, Version 2.0)
  • Author: Alexey Stepanov
  • Tags descriptor
Classifiers

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