Hi, I noticed a type-checking inconsistency between assignments using slicing and fancy-indexing. The first will happily cast on assignment (regardless of type), while the second will throw a type error if there's reason to believe the casting will be unsafe. I'm not sure which would be the "correct" behavior, but the inconsistency is surprising.
Best, -Tony Example: >>> import numpy as np >>> a = np.arange(10) >>> b = np.ones(10, dtype=np.uint8) # this runs without error >>> b[:5] = a[:5] >>> mask = a < 5 >>> b[mask] = b[mask] TypeError: array cannot be safely cast to required type
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
