Releases: ultralytics/autoimport
v0.0.3 - `v0.0.3` Return correct Type and Repr after first use (#21)
🌟 Summary
The v0.0.3
release upgrades the autoimport
package, focusing on improving the functionality and clarity of LazyLoader
, simplifying logic, enhancing testing, and ensuring better compatibility for dynamic module imports. 🚀
📊 Key Changes
-
🛠️ Improved
LazyLoader
Functionality- Critical module attributes (
__file__
,__path__
, etc.) are now copied for better compatibility with external tools. - Enhanced
__repr__()
for clearer representation when modules are not loaded. - Fixed and simplified logic to correctly handle nested imports and return parent modules when needed.
- Critical module attributes (
-
🎯 Testing Enhancements
- Tests updated to ensure smoother and more accurate integration of
LazyLoader
with standard imports. - Test documentation expanded, supporting both
pytest
(recommended) andunittest
testing frameworks.
- Tests updated to ensure smoother and more accurate integration of
-
📈 Simplicity and Readability
- Refactored lazy import logic for efficiency and cleaner code, reducing redundancy.
- Comments reordered and clarified to improve code readability.
-
🔖 Version Update
- Package version incremented from
v0.0.2
tov0.0.3
.
- Package version incremented from
🎯 Purpose & Impact
- Better Compatibility ⚙️: The updates ensure
LazyLoader
integrates seamlessly with libraries and tools that rely on module metadata, reducing potential compatibility issues. - Smoother Debugging 🐛: Enhanced representations of unloaded modules help developers diagnose and resolve issues more effectively.
- Simpler Code Base 🤓: The refactored and clarified code makes it easier for contributors to understand and maintain.
- Improved Dev Experience 🧪: Flexible testing guidance with enhanced documentation empowers developers to validate
LazyLoader
functionality using their preferred tools.
This release ensures greater stability, usability, and clarity—valuable for any developer working with on-demand, performance-optimized imports in Python. 🚀
What's Changed
- Simplify logic by @Y-T-G in #20
v0.0.3
Return correct Type and Repr after first use by @glenn-jocher in #21
Full Changelog: v0.0.2...v0.0.3
v0.0.2 - Fix subpackage imports and handle duplicate imports (#17)
🌟 Summary
Version v0.0.2
introduces enhanced functionality for deferred imports with major bug fixes, code improvements, and expanded test coverage to ensure better reliability and clarity. 🐍⚡
📊 Key Changes
- 🌟 Subpackage and Duplicate Import Support: Subpackage imports are now supported seamlessly, and duplicate imports are handled without errors—eliminating potential edge case issues.
- 📖 Updated Documentation: Improved
README.md
to clearly explain how deferred imports work, focusing on showcasing realistic performance benefits. - 🧪 Expanded Test Suite: Added tests to cover submodule imports, multiple imports, and more scenarios, ensuring thorough validation of the lazy-loading logic.
- 🛠 Refactored Code: General cleanup, including relocating and removing unused imports, simplifying methods, and improving the overall maintainability of the code.
🎯 Purpose & Impact
- 🕒 Streamlined Import Handling: Managing subpackages and duplicate imports now reduces potential errors and enhances compatibility in complex scenarios. This allows for smoother integration when working with libraries like
torch
,numpy
, and others. - 💡 Developer-Friendly Documentation: The updated README provides clearer and more practical examples, lowering the learning curve for new users and demonstrating the tangible benefits of lazy imports.
- 🧪 Increased Test Confidence: A more robust and expansive test suite identifies edge cases, enhancing the reliability of the library under different usage patterns.
- 🔧 Code Clarity: Refactoring makes the codebase cleaner and easier to maintain, fostering long-term scalability and readability for contributors.
🌟 With this release, developers can enjoy a more powerful, reliable, and developer-friendly library for managing deferred imports efficiently. 🚀
What's Changed
- Ultralytics Refactor https://ultralytics.com/actions by @pderrenger in #12
- Delete autoimport/README.md by @glenn-jocher in #13
- Scope time import by @glenn-jocher in #14
- Update pyproject.toml by @glenn-jocher in #15
- Update README.md by @glenn-jocher in #16
- Add submodule import tests by @glenn-jocher in #18
- Test multiple imports by @glenn-jocher in #19
- Fix subpackage imports and handle duplicate imports by @Y-T-G in #17
New Contributors
Full Changelog: v0.0.1...v0.0.2
v0.0.1 - Add downloads badge (#10)
🌟 Summary
This is the inaugural release of the software, marking the foundation of the project! 🎉
📊 Key Changes
- Introduced the initial version of the project, setting up its core features and functionality. 🛠️
- Laid the groundwork for future development and updates. 🚀
🎯 Purpose & Impact
- Purpose: Establish a starting point for the project, providing users and developers with a functional base to build upon.
- Impact: Users can now begin exploring the initial iteration of the tool, giving feedback and contributing to its growth. This release is pivotal for shaping the roadmap ahead. 🌟
Stay tuned for more updates as the project evolves! 👀
What's Changed
- Update README.md by @glenn-jocher in #1
- Update ci.yml by @glenn-jocher in #3
- Update pyproject.toml by @glenn-jocher in #2
- Update code and add tests by @glenn-jocher in #5
- Update README.md by @glenn-jocher in #6
- Create publish.yml by @glenn-jocher in #4
- Update README.md by @pderrenger in #9
- Update publish.yml by @glenn-jocher in #7
- Delete docs directory by @glenn-jocher in #11
- Add downloads badge by @glenn-jocher in #10
New Contributors
- @pderrenger made their first contribution in #9
Full Changelog: https://github.com/ultralytics/autoimport/commits/v0.0.1