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Implement covering product in convolution module #14928

merged 2 commits into from Jul 18, 2018


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sidhantnagpal commented Jul 16, 2018

Brief description of what is fixed or changed

Use Möbius Transform for calculating covering_product (returns list of sum of products of elements grouped by bitwise OR of the corresponding sequence indices).
Usage for the same is:

>>> from sympy import symbols, covering_product
>>> u, v, x, y, z = symbols('u v x y z')

>>> covering_product([u, v], [x, y])
[u*x, u*y + v*x + v*y]

>>> covering_product([u, v, x], [y, z])
[u*y, u*z + v*y + v*z, x*y, x*z]

Other comments

def covering_product(a, b):
Returns the covering product of given sequences.

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jksuom Jul 17, 2018


Maybe a blank line should be added after this. I don't know how important it is but PEP 257 says

Multi-line docstrings consist of a summary line just like a one-line docstring, followed by a blank line, followed by a more elaborate description. The summary line may be used by automatic indexing tools; it is important that it fits on one line and is separated from the rest of the docstring by a blank line. The summary line may be on the same line as the opening quotes or on the next line.


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jksuom commented Jul 18, 2018

Thanks, this is ready.

@jksuom jksuom merged commit 1531049 into sympy:master Jul 18, 2018

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