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import pytest
from hypothesis import given
from hypothesis.strategies import integers
from polyfactory.exceptions import ParameterException
from polyfactory.factories.pydantic_factory import ModelFactory, PydanticFieldMeta
from polyfactory.value_generators.constrained_collections import (
handle_constrained_mapping,
)
@given(
integers(min_value=0, max_value=10),
integers(min_value=0, max_value=10),
)
def test_handle_constrained_mapping_with_min_items_and_max_items(min_items: int, max_items: int) -> None:
key_field = PydanticFieldMeta(name="key", annotation=str)
value_field = PydanticFieldMeta(name="value", annotation=int)
field_meta = PydanticFieldMeta(name="test", annotation=dict, children=[key_field, value_field])
if max_items >= min_items:
result = handle_constrained_mapping(
factory=ModelFactory,
field_meta=field_meta,
max_items=max_items,
min_items=min_items,
)
assert len(result) >= min_items
assert len(result) <= max_items or 1
for key, value in result.items():
assert isinstance(key, str)
assert isinstance(value, int)
else:
with pytest.raises(ParameterException):
handle_constrained_mapping(
factory=ModelFactory,
field_meta=field_meta,
max_items=max_items,
min_items=min_items,
)
def test_handle_constrained_mapping_with_constrained_key_and_value() -> None:
key_min_length = 5
value_gt = 100
min_length = 5
max_length = 10
key_field = PydanticFieldMeta(name="key", annotation=str, constraints={"min_length": key_min_length})
value_field = PydanticFieldMeta(name="value", annotation=int, constraints={"gt": value_gt})
field_meta = PydanticFieldMeta(name="test", annotation=dict, children=[key_field, value_field])
result = handle_constrained_mapping(
factory=ModelFactory,
field_meta=field_meta,
min_items=min_length,
max_items=max_length,
)
assert len(result) >= min_length
assert len(result) <= max_length
for key, value in result.items():
assert isinstance(key, str)
assert isinstance(value, int)
assert len(key) >= key_min_length
assert value >= value_gt
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