pyTooling is a powerful collection of arbitrary useful classes, decorators, meta-classes and exceptions.
Project description
pyTooling
pyTooling is a powerful collection of arbitrary useful classes, decorators, meta-classes and exceptions. It's useful for any Python-base project independent if it's a library, framework or CLI tool.
Introduction
TODO
Package Details
Common Classes
- pyTooling.CallByRef.*
Emulation of call-by-reference parameters. - pyTooling.Versioning.*
Class representations of semantic version (SemVer) and calendar version (CalVer) numbers.
Decorators
- export
Register the given function or class as publicly accessible in a module.
Exceptions
- EnvironmentException
... is raised when an expected environment variable is missing. - PlatformNotSupportedException
... is raise if the platform is not supported. - NotConfiguredException
... is raise if the requested setting is not configured.
Meta-Classes
- Singleton
Allow only a single instance of a class. - Overloading
Overloading Allow method overloading in Python classes. Dispatch method calls based on method signatures (type annotations).
Examples
@export
Decorator
from pyTooling.Decorators import export
@export
class MyClass:
pass
CallByRefIntParam
from pyTooling.CallByRef import CallByRefIntParam
# define a call-by-reference parameter for integer values
myInt = CallByRefIntParam(3)
# a function using a call-by-reference parameter
def func(param : CallByRefIntParam):
param <<= param * 4
# call the function and pass the wrapper object
func(myInt)
print(myInt.value)
Contributors
- Patrick Lehmann (Maintainer)
- and more...
License
This Python package (source code) licensed under Apache License 2.0.
The accompanying documentation is licensed under Creative Commons - Attribution 4.0 (CC-BY 4.0).
SPDX-License-Identifier: Apache-2.0
Project details
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