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Deep diff for dicts/lists with patch generation. Data comparison utilities.

Project description

pycompare

Deep diff for dicts/lists

Installation

pip install pycompare

💡 Usage Examples

Basic Operations

from pylib_compare import deep_diff, patch, compare

# Deep diff between dictionaries
dict1 = {"a": 1, "b": 2}
dict2 = {"a": 1, "b": 3, "c": 4}
diff = deep_diff(dict1, dict2)
# {'b': {'op': 'replace', 'old': 2, 'new': 3}, 'c': {'op': 'add', 'value': 4}}

# Apply patch
patched = patch(dict1, diff)
# {'a': 1, 'b': 3, 'c': 4}

# Compare objects
is_equal = compare(dict1, dict2)
# False

AI/ML Use Cases

from pylib_compare import deep_diff, patch, compare

# Track model configuration changes
old_config = {"lr": 0.01, "batch_size": 32}
new_config = {"lr": 0.001, "batch_size": 64}
changes = deep_diff(old_config, new_config)

# Compare model outputs
output1 = {"prediction": "cat", "confidence": 0.9}
output2 = {"prediction": "cat", "confidence": 0.9}
are_same = compare(output1, output2)

📚 API Reference

See package documentation for complete API reference.

🤖 AI Agent Friendly

This package is optimized for AI agents and code generation tools:

  • Clear function names and signatures
  • Comprehensive docstrings with examples
  • Type hints for better IDE support
  • Common use cases documented
  • Zero dependencies for reliability

License

MIT

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