…de - I didn't actually think that anyone would be using this code at all, so previously the information was invalid. I'm copying the contents of the LICENSE file into the header comments of the Python source.

…e for finding the encoding issue and also for the setup file.

…e testing

Major updates:
- Full Python 3 compatibility: fixed print statements, string handling, and pyparsing issues
- Added comprehensive test suite with 25 tests covering all functionality
- Enhanced setup.py with proper packaging, dependencies, and console script entry points
- Improved main functions with better error handling and argument validation
- Updated README.md with modern documentation, examples, and installation instructions
- Added development requirements and pytest configuration
- Enhanced .gitignore for modern Python development

All generators now work correctly with Python 3.7+ while maintaining backward compatibility
with existing grammar files. The test suite ensures reliability for future development.

Modernize codebase for Python 3.7+ compatibility and add comprehensive testing

… variables

Major architectural redesign to transform JSGFTools from college project to production-ready library:

BREAKING CHANGES:
- New jsgf package with clean object-oriented API
- Grammar.from_file() and Grammar.from_string() factory methods
- DeterministicGenerator and ProbabilisticGenerator classes with proper encapsulation
- No more global variable dependencies - thread-safe and concurrent usage ready

New Features:
- Comprehensive type hints throughout codebase
- Rich exception hierarchy with contextual error messages
- GeneratorConfig for customizable behavior (recursion limits, random seeds)
- Grammar validation and cycle detection
- Iterator-based generation for memory efficiency
- Legacy adapter maintains backwards compatibility

Architecture:
- Clean separation: Grammar parsing, AST representation, string generation, CLI
- Proper encapsulation eliminates global state antipatterns
- Factory methods and configuration objects for professional API design
- Modern package structure with clear module responsibilities

Performance:
- Memory-efficient generators using iterators instead of building large lists
- Thread-safe design allows concurrent usage
- Configurable recursion limits and generation constraints

The new API provides a clean migration path while maintaining full compatibility
with existing grammar files through the legacy adapter.

Example usage:
```python
from jsgf import Grammar, DeterministicGenerator, GeneratorConfig

grammar = Grammar.from_file("example.jsgf")
config = GeneratorConfig(max_recursion_depth=100)
generator = DeterministicGenerator(grammar, config)

for sentence in generator.generate():
    print(sentence)
```

- Add Unicode support for 10+ major language scripts (Chinese, Japanese,
  Korean, Arabic, Russian, Hebrew, Greek, Thai, Hindi, and more) in both
  parsers (legacy and modern)
- Add 11 comprehensive Unicode tests covering all supported scripts
- Fix argparse support in DeterministicGenerator CLI (--help now works)
- Publish to PyPI as 'jsgf-tools' package
- Add modern pyproject.toml for Python packaging standards
- Add MANIFEST.in for proper file inclusion in distribution
- Update README with PyPI installation instructions and Unicode examples
- Update setup.py with enhanced metadata and keywords

Add comprehensive Unicode support and publish to PyPI (v2.1.1)

- Add Unicode support for 10+ major language scripts (Chinese, Japanese,
  Korean, Arabic, Russian, Hebrew, Greek, Thai, Hindi, and more) in both
  parsers (legacy and modern)
- Add 11 comprehensive Unicode tests covering all supported scripts
- Fix argparse support in DeterministicGenerator CLI (--help now works)
- Publish to PyPI as 'jsgf-tools' package
- Add modern pyproject.toml for Python packaging standards
- Add MANIFEST.in for proper file inclusion in distribution
- Update README with PyPI installation instructions and Unicode examples
- Update setup.py with enhanced metadata and keywords