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Bella is a psychology student who is carrying out an experiment in which she repeatedly asks people to "think of an object, any object". Bella wants to see what objects people think of under this situation. She enters each object into a text file, one object per line. Help Bella analyse the data by writing a function make_dictionary (filename) that reads the named file and returns a dictionary mapping from object names to occurrence counts (the number of times the particular object was guessed). For example, given a file data.txt containing the following dog triceratops persian cat dog persian cat large white fluffy thing persian cat the function would return the dictionary {'dog': 2, 'triceratops': 1, 'persian cat': 3, 'large white fluffy thing': 1} Notes: You may assume the given file exists, but it may be empty (i.e., containing no lines). Keys must be inserted into the dictionary in the order in which they appear in the input file.

Bella is a psychology student who is carrying out an experiment in which she repeatedly asks people to "think of an object, any object". Bella wants to see what objects people think of under this situation. She enters each object into a text file, one object per line. Help Bella analyse the data by writing a function make_dictionary (filename) that reads the named file and returns a dictionary mapping from object names to occurrence counts (the number of times the particular object was guessed). For example, given a file data.txt containing the following dog triceratops persian cat dog persian cat large white fluffy thing persian cat the function would return the dictionary {'dog': 2, 'triceratops': 1, 'persian cat': 3, 'large white fluffy thing': 1} Notes: You may assume the given file exists, but it may be empty (i.e., containing no lines). Keys must be inserted into the dictionary in the order in which they appear in the input file.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Bella is a psychology student who is carrying out an experiment in which she repeatedly asks people to "think of an object, any object". Bella wants to see what objects people think of under this situation. She enters each object into a text file, one object per line. Help Bella analyse the data by writing a function make_dictionary (filename) that reads the named file and returns a dictionary mapping from object names to occurrence counts (the number of times the particular object was guessed). For example, given a file data.txt containing the following dog triceratops persian cat dog persian cat large white fluffy thing persian cat the function would return the dictionary {'dog': 2, 'triceratops': 1, 'persian cat': 3, 'large white fluffy thing': 1} Notes: • You may assume the given file exists, but it may be empty (i.e., containing no lines). Keys must be inserted into the dictionary in the order in which they appear in the input file. • In some of the tests we display the keys in insertion order; in others we sort the keys alphabetically. • Leading and trailing white space should be stripped from object names • Empty object names (e.g. blank lines or lines with only whitespace) should be ignored. Some test files can be downloaded here, unzip them into your program folder. For example: Test Result dog: 2 # Testing with the example data in the question dictionary = make_dictionary('data.txt') triceratops: 1 for key in dictionary: persian cat: 3 print (key + : + str(dictionary [key])) large white fluffy thing: 1
Transcribed Image Text:Bella is a psychology student who is carrying out an experiment in which she repeatedly asks people to "think of an object, any object". Bella wants to see what objects people think of under this situation. She enters each object into a text file, one object per line. Help Bella analyse the data by writing a function make_dictionary (filename) that reads the named file and returns a dictionary mapping from object names to occurrence counts (the number of times the particular object was guessed). For example, given a file data.txt containing the following dog triceratops persian cat dog persian cat large white fluffy thing persian cat the function would return the dictionary {'dog': 2, 'triceratops': 1, 'persian cat': 3, 'large white fluffy thing': 1} Notes: • You may assume the given file exists, but it may be empty (i.e., containing no lines). Keys must be inserted into the dictionary in the order in which they appear in the input file. • In some of the tests we display the keys in insertion order; in others we sort the keys alphabetically. • Leading and trailing white space should be stripped from object names • Empty object names (e.g. blank lines or lines with only whitespace) should be ignored. Some test files can be downloaded here, unzip them into your program folder. For example: Test Result dog: 2 # Testing with the example data in the question dictionary = make_dictionary('data.txt') triceratops: 1 for key in dictionary: persian cat: 3 print (key + : + str(dictionary [key])) large white fluffy thing: 1
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