type_is_DataType

[deanm0000]

noticed that we had

def array(values, type=None,...)

this just makes the type parameter optionally None or DataType

[zen-xu]

These overloads are aimed at situations where there is no need to modify the values data type

[deanm0000]

Yeah but without any overload that accepts something other than None, you can't make an array with a defined type without it complaining

[zen-xu]

I used Generic _DataTypeT to specify the array type

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

Lines 446 to 455 in 05a033a

	@overload
	def array(
	values: Iterable | SupportArrowArray | SupportArrowDeviceArray,
	type: _DataTypeT,
	mask: Mask | None = None,
	size: int | None = None,
	from_pandas: bool | None = None,
	safe: bool = True,
	memory_pool: MemoryPool | None = None,
	) -> Array[Scalar[_DataTypeT]]: ...