Please help python code for mapReduce, I got errors. See below:

input file sample (data.txt) fomat is:

e.g., document id, line

1 .T #this is stop word, should be remove after execute mapper.py

1 experimental investigation of the aerodynamics of a

...

2 .T #this is stop word, should be remove after execute mapper.py 2 simple shear flow past a flat plate in an incompressible fluid of small

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data.txt:

1.T 1 experimental investigation of the aerodynamics of a 1 wing in a slipstream . 1 .A 1 brenckman,m. 1 .B 1 j. ae. scs. 25, 1958, 324. 1 .W 1 experimental investigation of the aerodynamics of a 1 wing in a slipstream . 1 an experimental study of a wing in a propeller slipstream was 1 made in order to determine the spanwise distribution of the lift 1 increase due to slipstream at different angles of attack of the wing 1 and at different free stream to slipstream velocity ratios . the 1 results were intended in part as an evaluation basis for different 1 theoretical treatments of this problem . 1 the comparative span loading curves, together with 1 supporting evidence, showed that a substantial part of the lift increment 1 produced by the slipstream was due to a /destalling/ or 1 boundary-layer-control effect . the integrated remaining lift 1 increment, after subtracting this destalling lift, was found to agree 1 well with a potential flow theory .

1 simple one 1 an empirical evaluation of the destalling effects was made for 1the specific configuration of the experiment .

2 .T 2 simple shear flow past a flat plate in an incompressible fluid of small 2 viscosity . 2 .A 2 ting-yili 2 .B

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output should be like:

format is: document id, word, 1 if word if word appears in the document

E.g., 1 experimental 1

1 experimental 1

1 experimental 1

...

1 simple 1

2 simple 1

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This is my Python code, pls correct:

#!/usr/bin/python3 #Assignment : NLTK Library to throw away stopwords, porter stemmer; #read input file line by line & generate word, document id, and 1 if word #appears in the doument.

from nltk.stem.porter import PorterStemmer from nltk.corpus import stopwords

import sys

stemmer = PorterStemmer() stop_words = set(stopwords.words('english'))

#print(stemmer.stem("magnificent")) #=> magnific #print("himself" in stop_words) #=> True

for line in sys.stdin: line = line.strip() documents = line.split(' ') words =line.split('\t')

for document in documents: for word in words: print(' %s \t %s \t %s ' % (word, document,1))