On 6 July 2016 at 10:22:15 AM, Marten van Kerkwijk (email@example.com) wrote:
I'm with Nathaniel here, in that I don't really see the point of these routines in the first place: broadcasting takes care of many of the initial use cases one might think of, and others are generally not all that well served by them: the examples from scipy to me do not really support `at_least?d`, but rather suggest that little thought has been put into higher-dimensional objects which should be treated as stacks of row or column vectors. My sense is that we're better off developing the direction started with `matmul`, perhaps adding `matvecmul` etc.
More to the point of the initial inquiry: what is the advantage of having a general `np.at_leastnd` routine over doing```np.array(a, copy=False, ndim=n)
```or, for a list of inputs,
```[np.array(a, copy=False, ndim=n) for a in input_list]
All the best,
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