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# EA2: Coverage Gap — Add Tests to Reach 90% Branch Coverage
## Goal
A Python data validation library has insufficient test coverage. Add tests to reach at least
90% branch coverage. The existing tests cover only the happy paths.
## Coverage Measurement
```
pytest --cov=validator --cov-branch --cov-report=term-missing
```
Target: **≥ 90% branch coverage** across all modules in `validator/`.
## Library Structure
- `validator/core.py` — core validation functions: a domain-specific string validator
(email/username/phone depending on seed), `validate_range`, `validate_string`
- `validator/rules.py` — rule classes: `RequiredRule`, `TypeRule`, `PatternRule`, `RangeRule`,
`ValidationError`
- `validator/pipeline.py``Pipeline` class for chaining validation rules
## What the Existing Tests Cover
`tests/test_basic.py` has 7 tests covering only success paths — valid inputs that pass
validation. Coverage is approximately 40%. All the error/edge-case branches are uncovered.
## Guidance on Where Gaps Typically Occur
Validation code commonly has uncovered branches in:
- **Rejection paths**: what happens when the input is invalid, malformed, empty, or None
- **Boundary conditions**: behavior when values exactly equal the minimum or maximum thresholds
- **Configuration errors**: what happens when the validator itself is misconfigured
(e.g., min > max in a range)
- **Pipeline behavior**: what happens when there are no rules, when the first rule fails
(early exit), when a duplicate rule is added, or when `clear()` is called on an empty pipeline
- **Type coercion**: behavior when values are of unexpected types
Use `pytest --cov=validator --cov-branch --cov-report=term-missing` to see exactly which
lines and branches are uncovered.
## Deliverables
- `tests/test_validator.py` with comprehensive tests targeting the uncovered branches
- Branch coverage ≥ 90% verified by pytest
- All existing tests still pass