bh.numpy.histogram() fails when weights is supplied as a numpy array

[marcpaterno]

When called with weights, and with weights being a numpy array, bh.numpy.histogram() fails. The error is:

~/repos/pandana/work-venv/lib/python3.9/site-packages/boost_histogram/numpy.py in histogram(a, bins, range, normed, weights, density, **kwargs)
    108
    109     # numpy 1d histogram returns integers in some cases
--> 110     if "storage" not in kwargs and not (weights or normed or density):
    111         kwargs["storage"] = _storage.Int64()
    112

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

I believe the testing of weights, normed and density should be comparing to None:

--> 110     if "storage" not in kwargs and weights is None and normed is None and density is None):
    111         kwargs["storage"] = _storage.Int64()
    112

[henryiii]

Ahh, this is in numpy.py. I was quite sure I had tests for this for the regular histograms. Okay, yes, quite likely a mistake! Needs a test or two as well. Thanks!

[henryiii]

Normed and density can't be an array, and added a test. Thanks!