I know I can test if set1 is a subset of set2 with:
{'a','b','c'} <= {'a','b','c','d','e'} # True
But the following is also True:
{'a','a','b','c'} <= {'a','b','c','d','e'} # True
How do I have it consider the number of times an element in the set occurs so that:
{'a','b','c'} <= {'a','b','c','d','e'} # True
{'a','a','b','c'} <= {'a','b','c','d','e'} # False since 'a' is in set1 twice but set2 only once
{'a','a','b','c'} <= {'a','a','b','c','d','e'} # True because both sets have two 'a' elements
I know I could do something like:
A, B, C = ['a','a','b','c'], ['a','b','c','d','e'], ['a','a','b','c','d','e']
all([A.count(i) == B.count(i) for i in A]) # False
all([A.count(i) == C.count(i) for i in A]) # True
But I was wondering if there was something more succinct like set(A).issubset(B,count=True) or a way to stay from list comprehensions. Thanks!
As @DSM deleted his solution , I will take the opportunity to provide a prototype based on which you can expand
>>> class Multi_set(Counter):
def __le__(self, rhs):
return all(v == rhs[k] for k,v in self.items())
>>> Multi_set(['a','b','c']) <= Multi_set(['a','b','c','d','e'])
True
>>> Multi_set(['a','a','b','c']) <= Multi_set(['a','b','c','d','e'])
False
>>> Multi_set(['a','a','b','c']) <= Multi_set(['a','a','b','c','d','e'])
True
>>>