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Custom Validators
Extension of the validators from the attrs library, these allow the use of type checking the constituents of a collection.
Example attrs validator and the problem this is a solution to*:
possible: list = attr.ib(validator=[instance_of(list)])
not_possible: List[int] = attr.ib(validator=[instance_of(List[int])])
This means that we can't validate the members of a collection. However, with the custom validators we can do this:
now_possible: Collection = attr.ib(validator=[validate_generic_of_type(Collection, float)])
Meaning we can pass in any object that implements the following dunder methods [__contains__, __iter__, __len__]
AND validate that each member of the collection is a float. This is possible for other types too.
*on closer inspection (ironic given this repo's name) of the attrs API reference this is a solved problem with deep_iterable() and deep_mapping(). attrs: 2, me: 0
generated repo map
└── class_inspector
├── docs
│ └── source
│ └── conf.py
├── src
│ └── class_inspector
│ ├── __init__.py
│ ├── _logger.py
│ ├── create_tests.py
│ ├── cst_walkers.py
│ ├── custom_validators.py
│ ├── data_structures.py
│ ├── guard_conditions.py
│ ├── transform.py
│ └── utils.py
├── tests
│ ├── __init__.py
│ ├── conftest.py
│ ├── test_create_tests.py
│ ├── test_custom_validators.py
│ ├── test_guard_conditions.py
│ ├── test_transform.py
│ └── test_utils.py
├── README.md
├── pyproject.toml
└── setup.py
::
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