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reducer3.py
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reducer3.py
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#!/usr/bin/env python3
#File: reducer3.py
#Author: Maggie Schweihs
#DS730, Fall 2017
#Project2: Hadoop
#Decription:
# Assume you work for a pet store and you want to know where to spend your marketing money.
# A “pet census” was sent to all cities in your area. Each city compiled the data and sent you the results.
# Each city compiled the data in different ways but they all followed a basic rule.
# For each citizen, a string appears in the file with the following information:
#
# a. If the citizen owns 3 cats, 3 C’s show up in the string.
# b. If the citizen owns 2 dogs, 2 D’s show up in the string.
# c. If the citizen owns 4 fish, 4 F’s show up in the string.
# d. If the citizen owns 1 monkey, 1 M shows up in the string.
#
# For example, the citizen with 3 cats, 2 dogs, 4 fish and 1 monkey might appear as CCCDDFFFFM.
# However, another city may have compiled their information differently and have CCDFDFCFMF.
# Your goal is to print out how many citizens have the exact same number of pets.
# For example, assume this is the input file:
# CCDFM CDCDM FFDM FMDCC CDMFC MDFF
# Your output would be:
# CCDFM : 3
# CCDDM : 1
# DFFM : 2
#
# This script works exactly the same as a word counter.
################################################################################################
import sys
def main(argv):
current_word = None
current_count = 0
word = None
for line in sys.stdin:
line = line.strip()
word, count = line.split('\t', 1)
count = int(count)
if current_word == word:
current_count += count
else:
if current_word:
print(current_word + ':' + str(current_count))
current_count = count
current_word = word
if current_word == word:
print(current_word + ':' + str(current_count))
if __name__ == "__main__":
main(sys.argv)