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###Singleton Decorator Library

A decorator based on wiki.python.org Python Decorators Library, namely https://wiki.python.org/moin/PythonDecoratorLibrary#Singleton, with significant improvements.

Features (assuming you decorate a class definition of MyClass)

  • Every call of MyClass() results in the same instance, which persists from the first instantiation until the end of execution
  • Even if you delete all your references to the instance, it still persists to be returned on the next call of MyClass()
  • That instance is only initiallized once (the first time)
  • is_instance(MyClass(), MyClass) is True (that is, we do not wrap the class)
  • Using copy() or deepcopy() simply gives another reference to the single instance
  • The overhead of locking in the threaded version is low enough that you may use it even before adding threading to your class.
  • If MyClass is threadsafe, then annotating with @threaded_singleton will give a threadsafe singleton (only the safety of creating the first instance requires locking, as all other singleton actions are no-ops or simply return a reference to the single instance)
  • If MyClass has locking (either Lock or RLock) in the initialization (new and init) the singleton locking does not deadlock.
  • The test suite is included, so you can tell if I verified correctly [working on this]
  • The singleton decorator and test bench pass black and mypy
  • The test suite is automatically run before publishing

This has some fixes, plus a threadsafe version

from singleton_decorator1 import singleton
@singleton
class MyClass...

or

from singleton_decorator1 import threaded_singleton
@threaded_singleton
nnclass MyThreadsafeClass...

Note that if MyThreadsafeClass is not threadsafe, then the decorator will not fix that -- it only ensures that the singleton functionality is threnad safe.

The library can be built with poetry >= 2.0: [Recommended]
if needed, install pyenv
pyenv install 3.10
pyenv local 3.10

[required]
(pip show poetry | grep -q "Version: 2") || pip install --ignore installed poetry==2

poetry env use $(pyenv which python) or
poetry env use $(which python)

poetry install

poetry build

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