(confloat(gt=5, lt=10), {
'exclusiveMinimum': 5,
'exclusiveMaximum': 10
}),
(confloat(ge=5, le=10), {
'minimum': 5,
'maximum': 10
}),
(PositiveFloat, {
'exclusiveMinimum': 0
}),
(NegativeFloat, {
'exclusiveMaximum': 0
}),
(ConstrainedDecimal, {}),
(condecimal(gt=5, lt=10), {
'exclusiveMinimum': 5,
'exclusiveMaximum': 10
}),
(condecimal(ge=5, le=10), {
'minimum': 5,
'maximum': 10
}),
],
)
def test_special_float_types(field_type, expected_schema):
class Model(BaseModel):
a: field_type
base_schema = {
'title': 'Model',
base_schema['properties']['a'].update(expected_schema)
assert Model.schema() == base_schema
@pytest.mark.parametrize(
'field_type,expected_schema',
[
(ConstrainedFloat, {}),
(confloat(gt=5, lt=10), {'exclusiveMinimum': 5, 'exclusiveMaximum': 10}),
(confloat(ge=5, le=10), {'minimum': 5, 'maximum': 10}),
(confloat(multiple_of=5), {'multipleOf': 5}),
(PositiveFloat, {'exclusiveMinimum': 0}),
(NegativeFloat, {'exclusiveMaximum': 0}),
(ConstrainedDecimal, {}),
(condecimal(gt=5, lt=10), {'exclusiveMinimum': 5, 'exclusiveMaximum': 10}),
(condecimal(ge=5, le=10), {'minimum': 5, 'maximum': 10}),
(condecimal(multiple_of=5), {'multipleOf': 5}),
],
)
def test_special_float_types(field_type, expected_schema):
class Model(BaseModel):
a: field_type
base_schema = {
'title': 'Model',
'type': 'object',
'properties': {'a': {'title': 'A', 'type': 'number'}},
'required': ['a'],
}
base_schema['properties']['a'].update(expected_schema)
}),
(confloat(ge=5, le=10), {
'minimum': 5,
'maximum': 10
}),
(confloat(multiple_of=5), {
'multipleOf': 5
}),
(PositiveFloat, {
'exclusiveMinimum': 0
}),
(NegativeFloat, {
'exclusiveMaximum': 0
}),
(ConstrainedDecimal, {}),
(condecimal(gt=5, lt=10), {
'exclusiveMinimum': 5,
'exclusiveMaximum': 10
}),
(condecimal(ge=5, le=10), {
'minimum': 5,
'maximum': 10
}),
(condecimal(multiple_of=5), {
'multipleOf': 5
}),
],
)
def test_special_float_types(field_type, expected_schema):
class Model(BaseModel):
a: field_type
