Hi, Would it be possible to support additional types in the following functions, or are they purposefully limited to decimal128? Naively, I assume the following make sense:
abs(float64) -> float64 abs(int64) -> int64 ceil(float64) -> int64 floor(float64) -> int64 trunc(float64) -> int64 round(float64, int32) -> int64 The reason I ask is that when using the Python API, I have to wrap float arguments with a cast to decimal when building & evaluating expressions. The result array is also decimal128, which is an object dtype when converted to pandas/numpy, so it would be convenient (and perhaps more efficient?) to have float64 versions of the functions. Thank you for your effort. The arrow ecosystem is really impressive. Best, Troy
