hJSrSSKJr SSKJr SSKJrJr SSKJ r SSK J r SSK J r JrJr S S S jjrg) zdExperimental module exposing a function to generate a core schema that validates callable arguments.) annotations)Callable)AnyLiteral) CoreSchema) ConfigDict)_config_generate_schema_namespace_utilsNc[R"[R"U5[R "[R "U5S9S9nUS:XaURX5nOURX5nURU5$)awGenerate the schema for the arguments of a function. Args: func: The function to generate the schema for. schema_type: The type of schema to generate. parameters_callback: A callable that will be invoked for each parameter. The callback should take three required arguments: the index, the name and the type annotation (or [`Parameter.empty`][inspect.Parameter.empty] if not annotated) of the parameter. The callback can optionally return `'skip'`, so that the parameter gets excluded from the resulting schema. config: The configuration to use. Returns: The generated schema. )namespaces_tuple) ns_resolver arguments) r GenerateSchemar ConfigWrapperr NsResolverns_for_function_arguments_schema_arguments_v3_schema clean_schema)func schema_typeparameters_callbackconfiggenerate_schemaschemas X/var/www/html/env/lib/python3.13/site-packages/pydantic/experimental/arguments_schema.pygenerate_arguments_schemarsx*'55f%$//AQAaAabfAghO k! 224M 55dP  ' ' //)z arguments-v3NN) rzCallable[..., Any]rz$Literal['arguments', 'arguments-v3']rz8Callable[[int, str, Any], Literal['skip'] | None] | NonerzConfigDict | Nonereturnr)__doc__ __future__rcollections.abcrtypingrr pydantic_corerpydanticrpydantic._internalr r r rrrr)s]j"$$JJ 9GTX $ 0 050R0  0  0r