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So far, type annotations for overloaded functions are not resolved because they are obtained from AST directly. This tries to evaluate them using a context of its function or method.
89 lines
1.3 KiB
Python
89 lines
1.3 KiB
Python
from typing import Any, overload
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@overload
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def sum(x: int, y: int) -> int:
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...
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@overload
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def sum(x: "float", y: "float") -> "float":
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...
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@overload
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def sum(x: str, y: str) -> str:
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...
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def sum(x, y):
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"""docstring"""
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return x + y
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class Math:
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"""docstring"""
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@overload
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def sum(self, x: int, y: int) -> int:
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...
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@overload
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def sum(self, x: "float", y: "float") -> "float":
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...
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@overload
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def sum(self, x: str, y: str) -> str:
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...
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def sum(self, x, y):
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"""docstring"""
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return x + y
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class Foo:
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"""docstring"""
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@overload
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def __new__(cls, x: int, y: int) -> "Foo":
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...
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@overload
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def __new__(cls, x: "str", y: "str") -> "Foo":
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...
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def __new__(cls, x, y):
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pass
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class Bar:
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"""docstring"""
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@overload
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def __init__(cls, x: int, y: int) -> None:
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...
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@overload
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def __init__(cls, x: "str", y: "str") -> "None":
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...
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def __init__(cls, x, y):
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pass
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class Meta(type):
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@overload
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def __call__(cls, x: int, y: int) -> Any:
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...
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@overload
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def __call__(cls, x: "str", y: "str") -> "Any":
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...
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def __call__(cls, x, y):
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pass
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class Baz(metaclass=Meta):
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"""docstring"""
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