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如何使用 MapReduce 将 python 中的矩阵相乘?

[英]How can I multiply matrices in python using MapReduce?

假设我有两个如下所示的 2X2 矩阵。

A,0,0,1
A,0,1,0
A,1,0,0
A,1,1,1
B,0,0,2
B,0,1,3
B,1,0,4
B,1,1,5

例如B,1,0,4表示矩阵 B,第 1 行,第 0 列,值 4。

我如何使用 MapReduce 方法计算两个指标的乘积,以获得此 output:

0,0,2
0,1,3
1,0,4
1,1,5

我制作了一个cache.txt文件来输入矩阵的维度。 (row_a, col_b, col_a)

input.txt包含矩阵。

代码如下。

cache_info = open("cache.txt").readlines()[0].split(",")
row_a, col_b, col_a = map(int, cache_info)

mapperOutput = open("mapperOutput.txt", "w")

for line in open("input.txt"):
    matrix_index, row, col, value = line.rstrip().split(",")
    if matrix_index == "A":
        for i in range(0, col_b):
            key = row + "," + str(i)
            mapperOutput.write("%s\t%s\t%s" % (key, col, value) + "\n")
    else:
        for j in range(0, row_a):
            key = str(j) + "," + col
            mapperOutput.write("%s\t%s\t%s" % (key, row, value) + "\n")
mapperOutput.close()

numbers1 = list()
for line in open("mapperOutput.txt"):
    curr_index, index, value = line.rstrip().split("\t")
    index, value = map(int, [index, value])
    numbers1.append((curr_index, index, value))
numbers2 = numbers1
initValue1 = list()
initValue2 = list()
for i in numbers1:
    checker = 0
    for j in numbers2:
        if i == j:
            if checker == 0:
                checker += 1
                continue
        if i[0] == j[0]:
            if i[1] == j[1]:
                initValue1.append([i[0],str(i[1]),i[2]*j[2]])

initValue2 = initValue1
myOut = dict()
counter = 0
for i in initValue1:
    if counter > (row_a*col_b*col_a):
        break
    if i[0] in myOut.keys():
        counter += 1
        continue
    counter += 1
    myOut[i[0]] = i[2]
    inercounter = 0
    for j in initValue2:
        if i[0] == j[0]:
            if i[1] != j[1]:
                inercounter += 1
                if inercounter > col_b - 1:
                    continue
                myOut[i[0]] += j[2]

for key,value in myOut.items():
    print(key,value)

output 将是:

0,0 2
0,1 3
1,0 4
1,1 5

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