numexpr.evaluate('0', out=A) fails

[albop]

Currently, the instructions

import numpy
import numexpr
a = numpy.zeros((2,2))
numexpr.evaluate('0.0', out=a)```

fail with error ValueError: output for a constant expression must have size 1

It would be nice to have regular broadcasting instead that would make it behave like:

import numpy
import numexpr
a = numpy.zeros((2,2))
K = numpy.array(0.0) 
numexpr.evaluate('K', out=a)```

That would be useful when evaluating user-supplied formulas, that may occasionally be constant expressions.

[FrancescAlted]

Agreed. Feel free to contribute a patch if you want to.

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