Another simple solution:

def mapper(matrix1, matrix2):
    
    for i in xrange(0, len(matrix1)):
        for j in xrange(0, len(matrix2[0])):
            
            key = (i, j)
            val1 = matrix1[i]
            val2 = [row[j] for row in matrix2]
            
            mapReducer.emitIntermediate(key, val1)
            mapReducer.emitIntermediate(key, val2)

def reducer(key, list_of_values):

    m1, m2 = list_of_values
    val1, val2 = key
    val3 = sum([m1[i] * m2[i] for i in xrange(0, len(m1))])
    
    mapReducer.emit([val1, val2, val3])

Here is Map Reduce Advanced - Matrix Multiplication problem solution - https://www.gyangav.com/2022/11/hackerrank-map-reduce-advanced-matrix-multiplication-problem-solution.html

!/usr/bin/env python2.7

from collections import OrderedDict import itertools import sys

class MapReduce: def init(self): self.intermediate = OrderedDict() self.result = []

def emitIntermediate(self, key, value):
    self.intermediate.setdefault(key, [])       
    self.intermediate[key].append(value)

def emit(self, value):
    self.result[value[0]][value[1]] = value[2] 

def execute(self, matrix1, matrix2, mapper, reducer):
    n = len(matrix1)
    m = len(matrix2[0])
    for i in xrange(0,n):
        self.result.append([0]*m)

    mapper(matrix1, matrix2)

    for key in self.intermediate:
        reducer(key, self.intermediate[key])

    for i in xrange(0,n):
        row = ""
        for j in xrange(0,m):
             row += str(self.result[i][j]) + " "
        print row

mapReducer = None

def mapper(matrix1, matrix2): #Start writing the Map code here n = len(matrix1) k = len(matrix1[0]) m = len(matrix2[0])

for i in xrange(n):
    for j in xrange(m):
        for p in xrange(k):
            mapReducer.emitIntermediate((i, j), (matrix1[i][p], matrix2[p][j]))

def reducer(key, list_of_values): #Start writing the Reduce code here mapReducer.emit((key[0], key[1], sum(itertools.starmap(lambda x, y: x * y, list_of_values))))

if name == 'main': testcases = int(sys.stdin.readline().strip()) for t in xrange(0,testcases): mapReducer = MapReduce() dimensions = sys.stdin.readline().strip().split(" ") row = int(dimensions[0]) column = int(dimensions[1]) matrix1 = [] matrix2 = [] for i in range(0, row): read_row = sys.stdin.readline().strip() matrix1.append([]) row_elems = read_row.strip().split() for j in range(0, len(row_elems)): matrix1[i].append(int(row_elems[j])) dimensions = sys.stdin.readline().strip().split(" ") row = int(dimensions[0]) column = int(dimensions[1]) for i in range(0, row): read_row = sys.stdin.readline().strip() matrix2.append([]) row_elems = read_row.strip().split() for j in range(0, len(row_elems)): matrix2[i].append(int(row_elems[j])) mapReducer.execute(matrix1, matrix2, mapper, reducer)

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