Suppose you have an array of numbers, and another set of numbers. You have to find the shortest subarray containing all numbers with minimal complexity.
The array ca
Here's how I solved this problem in linear time using collections.Counter objects
from collections import Counter
def smallest_subsequence(stream, search):
if not search:
return [] # the shortest subsequence containing nothing is nothing
stream_counts = Counter(stream)
search_counts = Counter(search)
minimal_subsequence = None
start = 0
end = 0
subsequence_counts = Counter()
while True:
# while subsequence_counts doesn't have enough elements to cancel out every
# element in search_counts, take the next element from search
while search_counts - subsequence_counts:
if end == len(stream): # if we've reached the end of the list, we're done
return minimal_subsequence
subsequence_counts[stream[end]] += 1
end += 1
# while subsequence_counts has enough elements to cover search_counts, keep
# removing from the start of the sequence
while not search_counts - subsequence_counts:
if minimal_subsequence is None or (end - start) < len(minimal_subsequence):
minimal_subsequence = stream[start:end]
subsequence_counts[stream[start]] -= 1
start += 1
print(smallest_subsequence([1, 2, 5, 8, 7, 6, 2, 6, 5, 3, 8, 5], [5, 7]))
# [5, 8, 7]