float_schema
Returns a schema that matches a float value, e.g.:
from pydantic_core import SchemaValidator, core_schema
schema = core_schema.float_schema(le=0.8, ge=0.2)
v = SchemaValidator(schema)
assert v.validate_python('0.5') == 0.5
def float_schema(
allow_inf_nan: bool | None = None,
multiple_of: float | None = None,
le: float | None = None,
ge: float | None = None,
lt: float | None = None,
gt: float | None = None,
strict: bool | None = None,
ref: str | None = None,
metadata: dict[str, Any] | None = None,
serialization: SerSchema | None = None
) - > FloatSchema
Returns a schema that matches a float value.
Parameters
| Name | Type | Description |
|---|---|---|
| allow_inf_nan | `bool | None` = None |
| multiple_of | `float | None` = None |
| le | `float | None` = None |
| ge | `float | None` = None |
| lt | `float | None` = None |
| gt | `float | None` = None |
| strict | `bool | None` = None |
| ref | `str | None` = None |
| metadata | `dict[str, Any] | None` = None |
| serialization | `SerSchema | None` = None |
Returns
| Type | Description |
|---|---|
FloatSchema | A dictionary-based schema definition for validating and serializing floating-point numbers. |