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Type inference regression with "and" and strict optional disabled #11705

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JukkaL opened this issue Dec 10, 2021 · 2 comments · Fixed by #11717
Closed

Type inference regression with "and" and strict optional disabled #11705

JukkaL opened this issue Dec 10, 2021 · 2 comments · Fixed by #11717
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bug mypy got something wrong false-positive mypy gave an error on correct code

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@JukkaL
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JukkaL commented Dec 10, 2021

This generates a false positive:

# mypy: no-strict-optional
from typing import Tuple, Dict, Optional, NamedTuple

class C(NamedTuple):
    x: int

t: Optional[C]

d: Dict[C, bytes]

x = t and d[t]
if x:
    x.startswith(b'x')  # Item "C" of "Union[C, bytes]" has no attribute "startswith"

It started happening as a side effect of #10389.

This is a regression, so this may be high priority. However, since this only seems to happen when strict optional checking is disabled, the impact may be pretty minor.

cc @ethan-leba

@JukkaL JukkaL added bug mypy got something wrong false-positive mypy gave an error on correct code labels Dec 10, 2021
@sobolevn
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sobolevn commented Dec 11, 2021

The problem is that t and d[t] is revealed as Union[Tuple[builtins.int, fallback=ex.C], builtins.bytes*]. But, it should be revealed as Optional[bytes]

I will try to solve it.

@sobolevn
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Let's test it: #11717

JukkaL pushed a commit that referenced this issue Dec 14, 2021
In some places in our code bool was compared with `Union[Literal[True], Literal[False]]`.
It was later compared with each union item. And bool is not subtype of 
`Literal[True]` and `Literal[False]`.

Closes #11701
Refs #11705
tushar-deepsource pushed a commit to DeepSourceCorp/mypy that referenced this issue Jan 20, 2022
…ython#11709)

In some places in our code bool was compared with `Union[Literal[True], Literal[False]]`.
It was later compared with each union item. And bool is not subtype of 
`Literal[True]` and `Literal[False]`.

Closes python#11701
Refs python#11705
tushar-deepsource pushed a commit to DeepSourceCorp/mypy that referenced this issue Jan 20, 2022
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Labels
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2 participants