Created
May 31, 2023 07:15
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# source: https://www.hackerrank.com/challenges/big-sorting/problem | |
# video: https://youtu.be/0KJhHCIuoG0 | |
def bigSorting(unsorted): | |
# Chunk values into separate sizes | |
cache = {} | |
for val in unsorted: # O(n), max of 2*10^5 | |
n = len(val) | |
if n not in cache: | |
cache[n] = [] | |
cache[n].append(val) | |
# Sort the lengths | |
sizes = sorted(cache.keys()) # O(10^6) = O(1) | |
output = [] | |
# For each length, sort it's list and add to growing output list | |
for size in sizes: # O(10^6) = O(1) | |
vals = cache[size] | |
vals.sort() # O(nlogn) where n is the size of the list (max of 2*10^5) | |
output.extend(vals) | |
return output # O(n) + O(nlogn) = O(nlogn) |
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