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Average Time Complexity [Big-theta]: O(n^2)
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- Space Complexity: O(1)
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- '''
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+ Space Complexity: O(1)
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+ '''
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# Based off of Geeks for Geeks Bubble sort example: https://www.geeksforgeeks.org/bubble-sort/
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# Another source: https://www.studytonight.com/data-structures/bubble-sort
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Average Time Complexity [Big-theta]: O(n^2)
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- Space Complexity: O(1)
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+ Space Complexity: O(1)
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'''
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# Based off of Geeks for Geeks Insertion sort example: https://www.geeksforgeeks.org/insertion-sort/
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Best Case Time Complexity [Big-omega]: O(n*log n)
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- Average Time Complexity [Big-theta]: O(n*log n)
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+ Average Time Complexity [Big-theta]: O(n*log n)
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Space Complexity: O(n)
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'''
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Average Time Complexity [Big-theta]: O(n*log n)
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- Space Complexity: O(n*log n)
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+ Space Complexity: O(n*log n)
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'''
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# Based off of Geeks for Geeks Bubble sort example: https://www.geeksforgeeks.org/quick-sort/
Original file line number Diff line number Diff line change @@ -66,7 +66,7 @@ def GenerateNewArray():
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def StartSortingAlgorithm ():
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global data
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- # If data is empty then return out of it
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+ # If data is empty then return out of it
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if not data :
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return
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