blob: 11c4af314a3b0f51bda465fcb9425adf3ef06e80 [file] [log] [blame]
"""Shared definitions used by different parts of semantic analysis."""
from __future__ import annotations
from abc import abstractmethod
from typing import Callable
from typing_extensions import Final, Protocol
from mypy_extensions import trait
from mypy import join
from mypy.errorcodes import ErrorCode
from mypy.nodes import (
Context,
Expression,
FuncDef,
Node,
SymbolNode,
SymbolTable,
SymbolTableNode,
TypeInfo,
)
from mypy.tvar_scope import TypeVarLikeScope
from mypy.type_visitor import ANY_STRATEGY, BoolTypeQuery
from mypy.types import (
TPDICT_FB_NAMES,
FunctionLike,
Instance,
Parameters,
ParamSpecFlavor,
ParamSpecType,
PlaceholderType,
ProperType,
TupleType,
Type,
TypeVarId,
TypeVarLikeType,
get_proper_type,
)
# Subclasses can override these Var attributes with incompatible types. This can also be
# set for individual attributes using 'allow_incompatible_override' of Var.
ALLOW_INCOMPATIBLE_OVERRIDE: Final = ("__slots__", "__deletable__", "__match_args__")
# Priorities for ordering of patches within the "patch" phase of semantic analysis
# (after the main pass):
# Fix fallbacks (does joins)
PRIORITY_FALLBACKS: Final = 1
@trait
class SemanticAnalyzerCoreInterface:
"""A core abstract interface to generic semantic analyzer functionality.
This is implemented by both semantic analyzer passes 2 and 3.
"""
@abstractmethod
def lookup_qualified(
self, name: str, ctx: Context, suppress_errors: bool = False
) -> SymbolTableNode | None:
raise NotImplementedError
@abstractmethod
def lookup_fully_qualified(self, name: str) -> SymbolTableNode:
raise NotImplementedError
@abstractmethod
def lookup_fully_qualified_or_none(self, name: str) -> SymbolTableNode | None:
raise NotImplementedError
@abstractmethod
def fail(
self,
msg: str,
ctx: Context,
serious: bool = False,
*,
blocker: bool = False,
code: ErrorCode | None = None,
) -> None:
raise NotImplementedError
@abstractmethod
def note(self, msg: str, ctx: Context, *, code: ErrorCode | None = None) -> None:
raise NotImplementedError
@abstractmethod
def incomplete_feature_enabled(self, feature: str, ctx: Context) -> bool:
raise NotImplementedError
@abstractmethod
def record_incomplete_ref(self) -> None:
raise NotImplementedError
@abstractmethod
def defer(self, debug_context: Context | None = None, force_progress: bool = False) -> None:
raise NotImplementedError
@abstractmethod
def is_incomplete_namespace(self, fullname: str) -> bool:
"""Is a module or class namespace potentially missing some definitions?"""
raise NotImplementedError
@property
@abstractmethod
def final_iteration(self) -> bool:
"""Is this the final iteration of semantic analysis?"""
raise NotImplementedError
@abstractmethod
def is_future_flag_set(self, flag: str) -> bool:
"""Is the specific __future__ feature imported"""
raise NotImplementedError
@property
@abstractmethod
def is_stub_file(self) -> bool:
raise NotImplementedError
@abstractmethod
def is_func_scope(self) -> bool:
raise NotImplementedError
@property
@abstractmethod
def type(self) -> TypeInfo | None:
raise NotImplementedError
@trait
class SemanticAnalyzerInterface(SemanticAnalyzerCoreInterface):
"""A limited abstract interface to some generic semantic analyzer pass 2 functionality.
We use this interface for various reasons:
* Looser coupling
* Cleaner import graph
* Less need to pass around callback functions
"""
tvar_scope: TypeVarLikeScope
@abstractmethod
def lookup(
self, name: str, ctx: Context, suppress_errors: bool = False
) -> SymbolTableNode | None:
raise NotImplementedError
@abstractmethod
def named_type(self, fullname: str, args: list[Type] | None = None) -> Instance:
raise NotImplementedError
@abstractmethod
def named_type_or_none(self, fullname: str, args: list[Type] | None = None) -> Instance | None:
raise NotImplementedError
@abstractmethod
def accept(self, node: Node) -> None:
raise NotImplementedError
@abstractmethod
def anal_type(
self,
t: Type,
*,
tvar_scope: TypeVarLikeScope | None = None,
allow_tuple_literal: bool = False,
allow_unbound_tvars: bool = False,
allow_required: bool = False,
allow_placeholder: bool = False,
report_invalid_types: bool = True,
prohibit_self_type: str | None = None,
) -> Type | None:
raise NotImplementedError
@abstractmethod
def get_and_bind_all_tvars(self, type_exprs: list[Expression]) -> list[TypeVarLikeType]:
raise NotImplementedError
@abstractmethod
def basic_new_typeinfo(self, name: str, basetype_or_fallback: Instance, line: int) -> TypeInfo:
raise NotImplementedError
@abstractmethod
def schedule_patch(self, priority: int, fn: Callable[[], None]) -> None:
raise NotImplementedError
@abstractmethod
def add_symbol_table_node(self, name: str, stnode: SymbolTableNode) -> bool:
"""Add node to the current symbol table."""
raise NotImplementedError
@abstractmethod
def current_symbol_table(self) -> SymbolTable:
"""Get currently active symbol table.
May be module, class, or local namespace.
"""
raise NotImplementedError
@abstractmethod
def add_symbol(
self,
name: str,
node: SymbolNode,
context: Context,
module_public: bool = True,
module_hidden: bool = False,
can_defer: bool = True,
) -> bool:
"""Add symbol to the current symbol table."""
raise NotImplementedError
@abstractmethod
def add_symbol_skip_local(self, name: str, node: SymbolNode) -> None:
"""Add symbol to the current symbol table, skipping locals.
This is used to store symbol nodes in a symbol table that
is going to be serialized (local namespaces are not serialized).
See implementation docstring for more details.
"""
raise NotImplementedError
@abstractmethod
def parse_bool(self, expr: Expression) -> bool | None:
raise NotImplementedError
@abstractmethod
def qualified_name(self, n: str) -> str:
raise NotImplementedError
@property
@abstractmethod
def is_typeshed_stub_file(self) -> bool:
raise NotImplementedError
@abstractmethod
def process_placeholder(
self, name: str | None, kind: str, ctx: Context, force_progress: bool = False
) -> None:
raise NotImplementedError
def set_callable_name(sig: Type, fdef: FuncDef) -> ProperType:
sig = get_proper_type(sig)
if isinstance(sig, FunctionLike):
if fdef.info:
if fdef.info.fullname in TPDICT_FB_NAMES:
# Avoid exposing the internal _TypedDict name.
class_name = "TypedDict"
else:
class_name = fdef.info.name
return sig.with_name(f"{fdef.name} of {class_name}")
else:
return sig.with_name(fdef.name)
else:
return sig
def calculate_tuple_fallback(typ: TupleType) -> None:
"""Calculate a precise item type for the fallback of a tuple type.
This must be called only after the main semantic analysis pass, since joins
aren't available before that.
Note that there is an apparent chicken and egg problem with respect
to verifying type arguments against bounds. Verifying bounds might
require fallbacks, but we might use the bounds to calculate the
fallbacks. In practice this is not a problem, since the worst that
can happen is that we have invalid type argument values, and these
can happen in later stages as well (they will generate errors, but
we don't prevent their existence).
"""
fallback = typ.partial_fallback
assert fallback.type.fullname == "builtins.tuple"
fallback.args = (join.join_type_list(list(typ.items)),) + fallback.args[1:]
class _NamedTypeCallback(Protocol):
def __call__(self, fully_qualified_name: str, args: list[Type] | None = None) -> Instance:
...
def paramspec_args(
name: str,
fullname: str,
id: TypeVarId | int,
*,
named_type_func: _NamedTypeCallback,
line: int = -1,
column: int = -1,
prefix: Parameters | None = None,
) -> ParamSpecType:
return ParamSpecType(
name,
fullname,
id,
flavor=ParamSpecFlavor.ARGS,
upper_bound=named_type_func("builtins.tuple", [named_type_func("builtins.object")]),
line=line,
column=column,
prefix=prefix,
)
def paramspec_kwargs(
name: str,
fullname: str,
id: TypeVarId | int,
*,
named_type_func: _NamedTypeCallback,
line: int = -1,
column: int = -1,
prefix: Parameters | None = None,
) -> ParamSpecType:
return ParamSpecType(
name,
fullname,
id,
flavor=ParamSpecFlavor.KWARGS,
upper_bound=named_type_func(
"builtins.dict", [named_type_func("builtins.str"), named_type_func("builtins.object")]
),
line=line,
column=column,
prefix=prefix,
)
class HasPlaceholders(BoolTypeQuery):
def __init__(self) -> None:
super().__init__(ANY_STRATEGY)
def visit_placeholder_type(self, t: PlaceholderType) -> bool:
return True
def has_placeholder(typ: Type) -> bool:
"""Check if a type contains any placeholder types (recursively)."""
return typ.accept(HasPlaceholders())