array overloads inconsistent plus should have DataTypes in type parameter

[deanm0000]

There's inconsistency in the return signature between the cases where it can infer the type from values from when it can't but the type is specified. Compare

pyarrow-stubs/pyarrow-stubs/__lib_pxi/array.pyi

Lines 146 to 154 in 4e2a987

	def array(
	values: NullableIterable[str],
	type: None = None,
	mask: Mask | None = None,
	size: int | None = None,
	from_pandas: bool | None = None,
	safe: bool = True,
	memory_pool: MemoryPool | None = None,
	) -> StringArray: ...

to

pyarrow-stubs/pyarrow-stubs/__lib_pxi/array.pyi

Lines 326 to 334 in 4e2a987

	def array(
	values: Iterable | SupportArrowArray | SupportArrowDeviceArray,
	type: Literal["string", "str", "utf8"],
	mask: Mask | None = None,
	size: int | None = None,
	from_pandas: bool | None = None,
	safe: bool = True,
	memory_pool: MemoryPool | None = None,
	) -> Array[scalar.StringScalar]: ...

It would seem the cases where the type is entered should also return StringArray (of course same point for the rest of the typed arrays) but I don't know if I'm missing something about what Array[scalar.StringScalar] is meant to convey.

Additionally, the cases where the type is specified should include the DataType, for example

    type: Literal["string", "str", "utf8"] | StringType,