# merge sort: split list in half, then sort each half and # merge the two; this is done recursively # # we print the current state of the list each time through # # also count (and print) the number of comparisons and # exchanges # # Matt Bishop ECS 36A, Winter 2019 # # # set this to False to print *only* the original (unsorted) # and the final (sorted) lists # set to True to print the intermediate (partially sorted) lists # showintermediate = True # # we will generate a list of this many numbers # and then shuffle them 7 times using shuffle() # from the random module # import random nnums = 20 # set the number of comparisons to 0 compares = 0 # swaps don't really make sense, so we count copies copies = 0 # # this is the merge sort routine # # if the list is 1 item, you are done # otherwise, split the list in two parts, sort them independently # (using mergesort), then merge the two lists # def mergesort(numlist): # we track the number of comparisons and swaps (exchanges) global copies, compares # if the list is one number, you're done if len(numlist) <= 1: # print the current state of the list (visually see the sorting) if showintermediate: print(" Merge:", numlist) return # find the midpoint of the list mid = len(numlist) // 2 # split the list into 2 parts, left and right # note midpoint in kept in the right half left = numlist[:mid] right = numlist[mid:] # now sort each half mergesort(left) mergesort(right) # here, i indexes left, j indexes right, and # k indexes numlist # left and right aremerged; their sorted merge # is put in numlist # start everything at the beginning of the lists i = j = k = 0 # this part does the merge # compare first element of left with first element # of right; put the smaller into numlist and advance # the appropriate indices while i < len(left) and j < len(right): # we do a compare and a copy here compares += 1 copies += 1 # if left is smaller or equal, put it into numlist if left[i] <= right[j]: numlist[k] = left[i] i += 1 k += 1 # if right is smaller, put it into numlist elif left[i] > right[j]: numlist[k] = right[j] j += 1 k += 1 # at this point, either i or j is at the end so # only one of the following while loops has its # body executed while i < len(left): # a copy copies += 1 # add next element of left to the end of numlist numlist[k] = left[i] i += 1 k += 1 while j < len(right): # a copy copies += 1 # add next element of left to the end of numlist numlist[k] = right[j] j += 1 k += 1 # print the current state of the list (visually see the sorting) if showintermediate: print(" Merge:", numlist) # # generate a list of numbers # we just put the first nnums number into a list (0 .. nnums-1) # and then shuffle it 7 times # def loadnums(): # generate the list; use range and convert it numlist = list(range(nnums)) # now shuffle 7 times; in theory, this makes # it as random as possible for i in range(0, 7): random.shuffle(numlist) # and return the list! return numlist # # this puts it all together # def main(): # we need to print these global compares, copies # get the list # if it's empty, quit (just in case :) nums = loadnums() if nums == []: return # print the initial list print("Unsorted:", nums) # sort the list mergesort(nums) # print the sorted list and the relevant statistics print(" Sorted:", nums) print("This took {} comparisons and {} copies".format(compares, copies)) # # and we're off! # main()