Hi!
Pretend I have classes:
class A(object):
pass
class B(object):
pass
class C(A,B):
pass
class D(object):
pass
The MRO linearizations are:
L(object) = [object]
L(A) = [A, object]
L(B) = [B, object]
L(C) = [C, A, B, object]
L(D) = [D, object]
I'll say that L(X) > L(Y) if every
c in L(Y) occurs in L(X). By that rule
L(C) and L(D) are maximal linearizations.
I want to write an analysis which would
work best if I could gather up all the
linearization of all classes in a possibly
large package distributed over possibly
many files and find only
the maximal linearizations.
This is really a kind of whole-program analysis.
I don't believe that this fits the pylint model
very well, since it is reasonable to expect that
pylint would be run separately on each individual
file in a library.
Are there other analyses around that make use of
astroid and are more whole-program like?
Thanks!
- mulhern
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