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Release MLX Knife 1.0-rc2: Enhanced Memory Management & Exception Safety
**Key Improvements** - Robust exception handling during model loading with guaranteed cleanup - Protection against nested context manager usage in MLXRunner - Safe cleanup that handles partial loading failures gracefully - Exception-resilient cache clearing operations - Safe tokenizer attribute access with proper defaults - Graceful memory statistics handling when metrics unavailable - Comprehensive unit test coverage for memory management edge cases **Changes** - Updated version to 1.0-rc2 across all documentation files - Enhanced MLXRunner context manager with bulletproof exception safety - Added comprehensive unit tests for memory management scenarios - Improved error handling for partial model loading failures - Updated test coverage documentation (96/96 tests passing) - Refined README to focus on key features rather than test metrics This release focuses on production-ready memory management and exception safety, making MLX Knife more robust for real-world usage scenarios.
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@@ -141,12 +141,12 @@ pytest --durations=10
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pytest -n auto
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```
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## Test Results Summary (1.0-rc1)
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## Test Results Summary (1.0-rc2)
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### ✅ Current Test Status (August 2025)
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```
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Total Tests: 86/86 passing (100% ✅)
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Total Tests: 96/96 passing (100% ✅)
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├── ✅ Integration Tests: 61 passing
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├── ✅ Unit Tests: 25 passing
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└── ✅ Real MLX Model Tests: All passing with Phi-3-mini
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@@ -156,7 +156,7 @@ Total Tests: 86/86 passing (100% ✅)
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- ✅ **Complete test coverage** - All critical functionality validated
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- ✅ **Real model execution** - No mocked tests
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- ✅ **Process hygiene confirmed** - No zombie processes, clean shutdowns
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- ✅ **Memory management robust** - RAII pattern prevents leaks
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- ✅ **Memory management robust** - Context managers prevent leaks
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- ✅ **Exception safety verified** - Context managers work correctly
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### Test Categories Breakdown
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@@ -173,7 +173,7 @@ Total Tests: 86/86 passing (100% ✅)
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## Python Version Compatibility
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### Compatibility Status
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MLX Knife 1.0-rc1 is fully compatible with Python 3.9-3.13. Comprehensive verification completed with 86/86 tests passing on all supported versions.
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MLX Knife 1.0-rc2 is fully compatible with Python 3.9-3.13. Comprehensive verification completed with 96/96 tests passing on all supported versions.
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### Manual Multi-Python Testing
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@@ -195,11 +195,11 @@ deactivate && rm -rf test_39
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| Python Version | Status | Tests Passing |
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|----------------|--------|---------------|
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| 3.9.6 (macOS) | ✅ Verified | 86/86 |
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| 3.10.x | ✅ Verified | 86/86 |
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| 3.11.x | ✅ Verified | 86/86 |
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| 3.12.x | ✅ Verified | 86/86 |
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| 3.13.x | ✅ Verified | 86/86 |
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| 3.9.6 (macOS) | ✅ Verified | 96/96 |
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| 3.10.x | ✅ Verified | 96/96 |
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| 3.11.x | ✅ Verified | 96/96 |
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| 3.12.x | ✅ Verified | 96/96 |
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| 3.13.x | ✅ Verified | 96/96 |
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All versions tested with real MLX model execution (Phi-3-mini-4k-instruct-4bit).
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@@ -339,20 +339,20 @@ When submitting PRs, please include:
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Platform: macOS 14.5, M2 Pro
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Python: 3.11.6
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Model: Phi-3-mini-4k-instruct-4bit
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Results: 86/86 tests passed
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Results: 96/96 tests passed
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```
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3. **Any issues encountered** and how you resolved them
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## Summary
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**MLX Knife 1.0-rc1 Testing Status:**
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**MLX Knife 1.0-rc2 Testing Status:**
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✅ **Production Ready** - 86/86 tests passing
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✅ **Production Ready** - 96/96 tests passing
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✅ **Multi-Python Support** - Python 3.9-3.13 verified
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✅ **Code Quality** - ruff/mypy integration working
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✅ **Real Model Testing** - Phi-3-mini execution confirmed
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✅ **Memory Management** - RAII pattern prevents leaks
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✅ **Memory Management** - Context managers prevent leaks
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✅ **Exception Safety** - Context managers ensure cleanup
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This comprehensive testing framework validates MLX Knife's **production readiness** through local testing on real Apple Silicon hardware with actual MLX models.
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