pyvalidator
Validate Python objects
Installation
pip install pyvalidator
💡 Usage Examples
Basic Operations
from pylib_validator import Schema, validate
# Define validation schema
schema = Schema({
"name": lambda x: isinstance(x, str) and len(x) > 0,
"age": lambda x: isinstance(x, int) and 0 < x < 150,
"email": lambda x: "@" in str(x)
})
# Validate data
data = {"name": "John", "age": 30, "email": "john@example.com"}
is_valid, errors = validate(data, schema)
# (True, [])
AI/ML Use Cases
from pylib_validator import Schema, validate
# Validate ML model inputs
input_schema = Schema({
"features": lambda x: isinstance(x, list) and len(x) > 0,
"model_type": lambda x: x in ["classification", "regression"]
})
is_valid, errors = validate(model_input, input_schema)
📚 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
1 maintainer
Metadata
1 maintainer
Release files for pylib-validator 0.1.0
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| File | Size | Uploaded | Provenance | Actions |
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| pylib_validator-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for pylib_validator-0.1.0-py3-none-any.whl |
Total release size: 4.3 kB
Release files / pylib_validator-0.1.0.tar.gz
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