call_schema

Returns a schema that matches an arguments schema, then calls a function, e.g.:

```py
from pydantic_core import SchemaValidator, core_schema

param_a = core_schema.arguments_parameter(
    name='a', schema=core_schema.str_schema(), mode='positional_only'
)
param_b = core_schema.arguments_parameter(
    name='b', schema=core_schema.bool_schema(), mode='positional_only'
)
args_schema = core_schema.arguments_schema([param_a, param_b])

schema = core_schema.call_schema(
    arguments=args_schema,
    function=lambda a, b: a + str(not b),
    return_schema=core_schema.str_schema(),
)
v = SchemaValidator(schema)
assert v.validate_python((('hello', True))) == 'helloFalse'
```

def call_schema(
    arguments: CoreSchema,
    function: Callable[..., Any],
    function_name: str | None = null,
    return_schema: CoreSchema | None = null,
    ref: str | None = null,
    metadata: dict[str, Any] | None = null,
    serialization: SerSchema | None = null
) - > CallSchema

Returns a schema that matches an arguments schema, then calls a function.

Parameters

Name	Type	Description
arguments	CoreSchema	The schema used to validate and parse the input arguments before the function call.
function	Callable[..., Any]	The callable object to be executed using the validated arguments.
function_name	`str	None` = null
return_schema	`CoreSchema	None` = null
ref	`str	None` = null
metadata	`dict[str, Any]	None` = null
serialization	`SerSchema	None` = null

Returns

Type	Description
CallSchema	A schema definition that validates input arguments and executes the specified callable with the validated data.