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Lists and Dictionaries (6 points): WP1 Complete the implementation of max_repeat_counts, which takes a non-empty list and returns a dictionary containing a key for each

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Lists and Dictionaries (6 points): WP1 Complete the implementation of max_repeat_counts, which takes a non-empty list and returns a dictionary containing a key for each element in the list, with a value corresponding to the maximum number of times the element repeats in succession) E.g., max_repeat_counts (1, 2, 2, 2, 2]) returns (1: 1, 2: 4 E.g., max_repeat_counts ([3, 3, 4, 4, 3, 4, 4, 4]) returns 13: 2, 4: 3 Insertion Sort (6 points): Consider the following reversed insertion sort implementation which prints the contents of the list at the start of each inner iteration: def rev insertion sort (lst) for i in range(1, len(1st)): for j in range(i, 0, 1): print (1st) if lstlj] # print list lst[j-1]: 1st [j] contents 1st [j-1], 1st [j], 1st [j-1] else: break WP2 Show the list contents, in order, displayed by all calls to print when rev insertion sort is called with the input lst [2, 1, 3, 4, 5]. The first output is already filled in for you; you may not need all lines Array-backed List (6 points): Complete the implementation of the array-backed list method remove span which should remove the first span of adjacent elements with the specified value from the list E.g., remove span (2) on [1, 1, 2, 2, 2, 3, 3, 2, 2] results in [1, 1, 3, 3, 2, 2] E.g., remove span (5) on [3, 3, 4, 4, 5, 5, 5] results in [3, 3, 4, 4]. If the list does not contain the specified value, a ValueError should be raised Your implementation should assume elements are stored in a Python list referenced by self.data, which you can only manipulate as an array (using the rules given in class) You may not use any other ArrayList methods WP3

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