mirror of
https://github.com/MLSysBook/TinyTorch.git
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0cbcbf8a6e
BREAKING CHANGE: Major architectural refactoring of CLI system
New Professional Architecture:
- Clean separation of concerns with proper package structure
- Command pattern implementation with base classes
- Centralized configuration management
- Proper exception hierarchy and error handling
- Logging framework integration
- Type hints throughout
- Dependency injection pattern
Structure:
tinytorch/cli/
├── __init__.py # Package initialization
├── main.py # Professional CLI entry point
├── core/ # Core CLI functionality
│ ├── __init__.py
│ ├── config.py # Configuration management
│ ├── console.py # Centralized console output
│ └── exceptions.py # Exception hierarchy
├── commands/ # Command implementations
│ ├── __init__.py
│ ├── base.py # Base command class
│ └── notebooks.py # Notebooks command
└── tools/ # CLI tools
├── __init__.py
└── py_to_notebook.py # Conversion tool
Features Added:
- Proper entry points in pyproject.toml
- Professional logging with file output
- Environment validation with detailed error messages
- Dry-run mode for notebooks command
- Force rebuild option
- Timeout protection for subprocess calls
- Backward compatibility wrapper (bin/tito)
- Extensible command registration system
Benefits:
- Maintainable: Single responsibility per module
- Testable: Clean interfaces and dependency injection
- Extensible: Easy to add new commands
- Professional: Industry-standard patterns
- Robust: Proper error handling and validation
- Installable: Proper package structure with entry points
9 lines
222 B
Python
9 lines
222 B
Python
"""
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TinyTorch CLI Package
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A professional command-line interface for the TinyTorch ML system.
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Organized with clean separation of concerns and proper error handling.
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"""
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__version__ = "0.1.0"
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__author__ = "TinyTorch Team" |