Returns the area of the largest rectangle whose top left corner is at position , in . You MUST make use of the helper here as you loop through each row of the matrix. Do not modify (i.e., mutate) the input matrix.
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Can you please show me the code for the second question, the largest-at-position one?
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- void listEmployees (void) { for (int i=0; i 10000. Make a guess about why the comparison function takes 2 struct Employee parameters (as opposed to struct Employee *) **Look at the two functions Merge-and-Count & Sort-and-Count. You are also given an array- Awesome_Array= 3 7 10 14 18 19 2 11 Merge-and-Count (A, B){ curA = 0; curB = 0; count = 0; mergedList = empty list while (not at end of A && not at end of B){ a = A[curA]; b = B[curB]; if (a < b) append a to mergedList; curA++; else append b to mergedList; curB++; count = count + number of elements left in A } if (at end of A) append rest of B to mergedList; else append rest of A to mergedList; return (count, mergedList); } Sort-and-Count(L){ if list L has one element return (0, L) Divide the list into two halves A and B (rA, A) ← Sort-and-Count(A) (rB, B) ← Sort-and-Count(B) (rC, L) ← Merge-and-Count(A, B) total_count =…Define the function number_in_trophic_class(tli3_values, classification) which takes a list of trophic level index values and a trophic classification, returning the number of lakes in that trophic class. For this version of the question you cannot use a list comprehension (or any comprehension) - you will get to use one in the next version of the question. :) Notes: You must include, and use/call your trophic_class function in your submission. Your tropic_class function must work in the same way it did for Question 2. You can assume that classification will always be valid, i.e. it will always be one of the states in the following list: ['Hypertrophic', 'Supertrophic', 'Eutrophic', 'Mesotrophic', 'Oligotrophic', 'Microtrophic', 'Ultra-microtrophic'] For example: Test Result tli3_list_1 = [4.1061, 2.54561, 4.16276, 2.33801, 6.71792, 5.54457, 6.49795, 2.1, 1.2, 1.4, 0.9, 3.8, 3.0] number = number_in_trophic_class(tli3_list_1, 'Microtrophic') print(f'{number} were…
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