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Bug#1037253: ITP: python-inject -- Python dependency injection framework

Started byEdward Betts <edward@4angle.com>
First post2023-06-09 14:20 +0200
Last post2023-06-09 14:20 +0200
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  Bug#1037253: ITP: python-inject -- Python dependency injection framework Edward Betts <edward@4angle.com> - 2023-06-09 14:20 +0200

#15019 — Bug#1037253: ITP: python-inject -- Python dependency injection framework

FromEdward Betts <edward@4angle.com>
Date2023-06-09 14:20 +0200
SubjectBug#1037253: ITP: python-inject -- Python dependency injection framework
Message-ID<GEJfX-eJmQ-1@gated-at.bofh.it>
Package: wnpp
Severity: wishlist
Owner: Edward Betts <edward@4angle.com>
X-Debbugs-Cc: debian-devel@lists.debian.org, debian-python@lists.debian.org

* Package name    : python-inject
  Version         : 4.3.1
  Upstream Author : Ivan Korobkov <ivan.korobkov@gmail.com>
* URL             : https://github.com/ivankorobkov/python-inject
* License         : Apache-2.0
  Programming Lang: Python
  Description     : Python dependency injection framework

  The inject package is a Python library that provides a lightweight dependency
  injection framework. It simplifies the management of dependencies in your
  Python projects, allowing for decoupled and modular code design.
  .
  Features:
  .
   - Facilitates the injection of dependencies into Python classes and
     functions.
   - Supports various dependency injection patterns, including constructor
     injection and attribute injection.
   - Allows for the configuration of dependency bindings and scopes.
   - Promotes code reusability, testability, and maintainability through loose
     coupling.
   - Supports both runtime and compile-time dependency injection.
   - Provides integration with popular frameworks and tools.
  .
  Dependency injection is a powerful design pattern that helps manage complex
  dependencies between components. The inject library offers an elegant and
  straightforward way to implement dependency injection in Python, promoting
  better separation of concerns and easier unit testing.

I plan to maintain this package as part of the Python team.

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