Series constructor does not accept TypedDict

[BobVitorBob]

Describe the bug When creating a series from a TypedDict, Pyright reports

No overloads for "__new__" match the provided arguments. Argument of type (TypedDict) cannot be assigned to parameter "data" of type "Scalar | _ListLike[Unknown] | dict[HashableT1@__new__, Any] | BaseGroupBy[Unknown] | NaTType | NAType | None" in function "__new__"

To Reproduce

from typing import TypedDict
import pandas as pd
class MyDict(TypedDict):
    a: str
    b: str

my_dict = MyDict(a="", b="")
pd.Series(my_dict)

Pyright yields

error: No overloads for "__new__" match the provided arguments (reportCallIssue)
error: Argument of type "MyDict" cannot be assigned to parameter "data" of type "Scalar | _ListLike[Unknown] | dict[HashableT1@__new__, Any] | BaseGroupBy[Unknown] | NaTType | NAType | None" in function "__new__"
    Type "MyDict" is incompatible with type "Scalar | _ListLike[Unknown] | dict[HashableT1@__new__, Any] | BaseGroupBy[Unknown] | NaTType | NAType | None"
      "MyDict" is incompatible with "ExtensionArray"
      "MyDict" is incompatible with "NAType"
      "MyDict" is incompatible with "NaTType"
      "MyDict" is incompatible with "Timedelta"
      "MyDict" is incompatible with "Timestamp"
      "MyDict" is incompatible with "bool"
      "MyDict" is incompatible with "bytes"
    ... (reportArgumentType)

Please complete the following information:

• OS: Linux
• OS Version: 22
• python version: Python 3.12.4
• version of type checker: Pyright 1.1.374
• version of installed pandas-stubs: 2.2.2.240603

Additional context Seems like TypedDict is incompatible with dict, but I don't see why it matters in this specific example. Changing overload 8 (series.pyi(332, 9))

@overload
    def __new__(
        cls,
        data: (
            Scalar
            | _ListLike
            | dict[HashableT1, Any]
            | BaseGroupBy
            | NaTType
            | NAType
            | None
        ) = ...,
        index: Axes | None = ...,
        *,
        dtype: Dtype = ...,
        name: Hashable = ...,
        copy: bool = ...,
    ) -> Series: ...

to

@overload
    def __new__(
        cls,
        data: (
            Scalar
            | _ListLike
            | Mapping[HashableT1, Any]
            | BaseGroupBy
            | NaTType
            | NAType
            | None
        ) = ...,
        index: Axes | None = ...,
        *,
        dtype: Dtype = ...,
        name: Hashable = ...,
        copy: bool = ...,
    ) -> Series: ...

fixes this specific example but I don't know if it breaks something elsewhere.

[Dr-Irv]

I think that if you changed all the Series.__new__() overloads to use Mapping instead of dict, it would work and handle your use case.

PR with tests welcome.