In polytools when two polys are multiplied, the two polys are unified
first:
def mul(f, g):
"""Multiply two polynomials `f` and `g`. """
_, per, F, G = f.unify(g) <======================= there
try:
result = F.mul(G)
except AttributeError: # pragma: no cover
raise OperationNotSupported(f, 'mul')
return per(result)
And the first thing that happens when F.mul(G) calls mul in
polyclasses is:
def mul(f, g):
"""Multiply two multivariate polynomials `f` and `g`. """
lev, dom, per, F, G = f.unify(g) <======= the same as the
above.
Why aren't the computed unified values simply passed as arguments with
a flag "unified=True?" rather than being recomputed? Is this a design
issue where it's easier to maintain if one duplicates work rather than
tries to keeptrack of what work has already been done?
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