[match-case]: `TypedDict` interaction with mapping pattern
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
Research direction
Start with the TypedDict subtyping-with-mapping section of the typing specification and PEP 634's mapping-pattern rules. Run the three examples against the listed type checkers to compare current behavior. Done means reaching agreement on the intended narrowing and documenting standardized guidance, with corresponding validation cases.
Written by the indexing model from the issue text.
Description
It seems match-cases mapping pattern is predestined to work well with TypedDict, but currently the spec is silent regarding TypedDict subtyping with respect to match case: https://typing.python.org/en/latest/spec/typeddict.html#subtyping-with-mapping
At the time of writing, not a single type checker (tested with mypy=1.19.1, pyright=1.1.408, ty=0.0.17, pyrefly=0.53.0 and zuban=0.6.0) can solve the following tests[^1], suggesting that some standardization / typing spec guidance may be useful.
from typing import TypedDict, assert_type, assert_never
class D(TypedDict):
name: str
value: int
def test_match_key(x: D | int) -> None:
match x:
case {"name": _}:
# runtime equivalent to (isinstance(x, Mapping) and "name" in x)
assert_type(x, D)
case _:
assert_type(x, int)
def test_match_key_and_value(x: D | int) -> None:
match x:
case {"name": str()}:
# runtime equivalent to (isinstance(x, Mapping)
# and "name" in x and isinstance(x["name"], str))
assert_type(x, D)
case _:
assert_type(x, int)
def test_non_match(x: D | int) -> None:
match x:
case {"value": str()}:
# runtime equivalent to (isinstance(x, Mapping)
# and "value" in x and isinstance(x["value"], str))
assert_never(x)
case _:
assert_type(x, D | int)
[^1]: technically, it is possible to make a shared subclass of int and collections.abc.Mapping, so the assert_type in the case {...} are debatable, though the inference in the case _ branches should not be affected.
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