Consider the Following Reducer Code: 1 #!/Usr/bin/env Python3

Consider the following reducer code: 1 #!/usr/bin/env python3
2 # length_reducer.py
3 """Counts the number of words with each length."""
4 import sys
5 from itertools import groupby
6 from operator import itemgetter
7
8 def tokenize_input() :
9 """Split each line of standard input into a key and a value."""
10 for line in sys.stdin:
11 yield line.strip() .split('\t')
12
13 # produce key-value pairs of word lengths and counts separated by tabs
14 for word_length, group in groupby(tokenize_input() , itemgetter(0) ) :
15 try:
16 total = sum(int(count) for word_length, count in group)
17 print(word_length + '\t' + str(total) )
18 except ValueError:
19 pass # ignore word if its count was not an integer
Which of the following statements a) , b) or c) is false?

A) When the MapReduce algorithm executes this reducer, lines 14-19 use the groupby function from the itertools module to group all word lengths of the same value. The first argument calls tokenize_input to get the lists representing the key-value pairs. The second argument indicates that the key-value pairs should be grouped based on the element at index 0 in each list-that is the key.
B) Line 16 totals all the counts for a given key. Line 17 outputs a new key-value pair consisting of the word length and the total number of words of that length.
C) The MapReduce algorithm takes all the final word length and count outputs and writes them to a file in HDFS-the Hadoop file system.
D) All of the above statements are true.