+ NV-jJnRt^RIHt^RIHt^RIHtHt^RIH t ^RI H t ^RI H t HtHtR RR lltR#) zdExperimental module exposing a function to generate a core schema that validates callable arguments.) annotations)Callable)AnyLiteral) CoreSchema) ConfigDict)_config_generate_schema_namespace_utilsNc ,V^8dQhRRRRRRRRR R /#) funczCallable[..., Any] schema_typez$Literal['arguments', 'arguments-v3']parameters_callbackz8Callable[[int, str, Any], Literal['skip'] | None] | NoneconfigzConfigDict | Nonereturnr)formats"w/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/pydantic/experimental/arguments_schema.py __annotate__rs;00 050R0  0  0c"\P!\P!V4\P !\P !V4R7R7pVR8XdVPW4pMVPW4pVPV4#)awGenerate the schema for the arguments of a function. Args: func: The function to generate the schema for. schema_type: The type of schema to generate. parameters_callback: A callable that will be invoked for each parameter. The callback should take three required arguments: the index, the name and the type annotation (or [`Parameter.empty`][inspect.Parameter.empty] if not annotated) of the parameter. The callback can optionally return `'skip'`, so that the parameter gets excluded from the resulting schema. config: The configuration to use. Returns: The generated schema. )namespaces_tuple) ns_resolver arguments) r GenerateSchemar ConfigWrapperr NsResolverns_for_function_arguments_schema_arguments_v3_schema clean_schema)r rrrgenerate_schemaschemas&&&& rgenerate_arguments_schemar$sx*'55f%$//AQAaAabfAghO k! 224M 55dP  ' ' //r)z arguments-v3NN)__doc__ __future__rcollections.abcrtypingrr pydantic_corerpydanticrpydantic._internalrr r r$rrrr,s'j"$$JJ00r