As discussed [here](https://github.com/numpy/numpy/issues/5032#issuecomment-1830838701), [here](https://github.com/numpy/numpy/issues/5032#issuecomment-2307927804), and [here](https://github.com/google/jax/issues/18661#issuecomment-1829031914), I'm interested in a uniform interface for accessing the minimum or maximum value of a given dtype.
Currently, this requires branching on the type of dtype (boolean, integer, or floating point) and then (for the latter two) calling either [iinfo](https://numpy.org/doc/stable/reference/generated/numpy.iinfo.html) or [finfo](https://numpy.org/doc/stable/reference/generated/numpy.finfo.html), respectively. It would be more ergonomic to have a single, uniform interface for accessing this information that is dtype-independent. Possible interfaces include: ```python3 import numpy as np dt = np.dtype('int32') dt.min np.dtypes.info(dt).min np.dtypes.min(dt) np.dtypes.min_value(dt) ``` _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
