"""Utilities for type argument inference.""" from typing import List, Optional, Sequence, NamedTuple from mypy.constraints import ( infer_constraints, infer_constraints_for_callable, SUBTYPE_OF, SUPERTYPE_OF ) from mypy.types import Type, TypeVarId, CallableType, Instance from mypy.nodes import ArgKind from mypy.solve import solve_constraints class ArgumentInferContext(NamedTuple): """Type argument inference context. We need this because we pass around ``Mapping`` and ``Iterable`` types. These types are only known by ``TypeChecker`` itself. It is required for ``*`` and ``**`` argument inference. https://github.com/python/mypy/issues/11144 """ mapping_type: Instance iterable_type: Instance def infer_function_type_arguments(callee_type: CallableType, arg_types: Sequence[Optional[Type]], arg_kinds: List[ArgKind], formal_to_actual: List[List[int]], context: ArgumentInferContext, strict: bool = True) -> List[Optional[Type]]: """Infer the type arguments of a generic function. Return an array of lower bound types for the type variables -1 (at index 0), -2 (at index 1), etc. A lower bound is None if a value could not be inferred. Arguments: callee_type: the target generic function arg_types: argument types at the call site (each optional; if None, we are not considering this argument in the current pass) arg_kinds: nodes.ARG_* values for arg_types formal_to_actual: mapping from formal to actual variable indices """ # Infer constraints. constraints = infer_constraints_for_callable( callee_type, arg_types, arg_kinds, formal_to_actual, context) # Solve constraints. type_vars = callee_type.type_var_ids() return solve_constraints(type_vars, constraints, strict) def infer_type_arguments(type_var_ids: List[TypeVarId], template: Type, actual: Type, is_supertype: bool = False) -> List[Optional[Type]]: # Like infer_function_type_arguments, but only match a single type # against a generic type. constraints = infer_constraints(template, actual, SUPERTYPE_OF if is_supertype else SUBTYPE_OF) return solve_constraints(type_var_ids, constraints)