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Write a function called random_sent (source_file, length) that takes in two parameters: source_file is a string representing the name of a file in the current directory, which we'll use as a basis for producing our text • length is an integer representing the number of words in our output text The function should do the following: • Open the target source file for reading (you can ass ne that it exists). Read in the entire file as one gigantic string. Use .split() with no arguments to split the whole file into a list of "words". There will still be some punctuation attached to some of the words, but you should actually leave it in - it often makes the output sentences more convincing. Make a dictionary counting how many times each "word" appears in the list. Note that this will count words that contain the same letters but different punctuation or capitalization as different "words", and that's fine.

Write a function called random_sent (source_file, length) that takes in two parameters: source_file is a string representing the name of a file in the current directory, which we'll use as a basis for producing our text • length is an integer representing the number of words in our output text The function should do the following: • Open the target source file for reading (you can ass ne that it exists). Read in the entire file as one gigantic string. Use .split() with no arguments to split the whole file into a list of "words". There will still be some punctuation attached to some of the words, but you should actually leave it in - it often makes the output sentences more convincing. Make a dictionary counting how many times each "word" appears in the list. Note that this will count words that contain the same letters but different punctuation or capitalization as different "words", and that's fine.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Constraints: Every word in the output text must appear in the input text. You must call the Problem A function (weighted_choice) to determine the first word of the output text. Examples (random, so won't necessarily match, but make sure the number of words is correct and each one appears somewhere in the input text file): >>> random_sent('short3.txt', 10) 'for second-guessing Too late to try defying gravity I guess' >>> random_sent('hamlet.txt', 20) "pleasure of fear and dungeons, Denmark to those effects for look like a puff'd and we are the bloat king" >>> random_sent('alice.txt', 30) 'into the mushroom, and seemed inclined to be otherwise than nine o'clock in the stupidest tea-party I suppose Dinah'll be removed,' said the field after them!' 'And washing?' said the'
Transcribed Image Text:Constraints: Every word in the output text must appear in the input text. You must call the Problem A function (weighted_choice) to determine the first word of the output text. Examples (random, so won't necessarily match, but make sure the number of words is correct and each one appears somewhere in the input text file): >>> random_sent('short3.txt', 10) 'for second-guessing Too late to try defying gravity I guess' >>> random_sent('hamlet.txt', 20) "pleasure of fear and dungeons, Denmark to those effects for look like a puff'd and we are the bloat king" >>> random_sent('alice.txt', 30) 'into the mushroom, and seemed inclined to be otherwise than nine o'clock in the stupidest tea-party I suppose Dinah'll be removed,' said the field after them!' 'And washing?' said the'
Write a function called random_sent (source_file, length) that takes in two parameters: source_file is a string representing the name of a file in the current directory, which we'll use as a basis for producing our text • length is an integer representing the number of words in our output text The function should do the following: ● Open the target source file for reading (you can assume that it exists). Read in the entire file as one gigantic string. Use .split() with no arguments to split the whole file into a list of "words". There will still be some punctuation attached to some of the words, but you should actually leave it in - it often makes the output sentences more convincing. Make a dictionary counting how many times each "word" appears in the list. Note that this will count words that contain the same letters but different punctuation or capitalization as different "words", and that's fine. From here, the function needs to return a string containing length words, separated by spaces. The first word in the output text must be chosen by passing in the dictionary of word counts into the weighted_choice function from problem A: this means that the word will always be one that appears in the given file, and the more often a given word appears in the file the more likely it will be the one to start our output text.
Transcribed Image Text:Write a function called random_sent (source_file, length) that takes in two parameters: source_file is a string representing the name of a file in the current directory, which we'll use as a basis for producing our text • length is an integer representing the number of words in our output text The function should do the following: ● Open the target source file for reading (you can assume that it exists). Read in the entire file as one gigantic string. Use .split() with no arguments to split the whole file into a list of "words". There will still be some punctuation attached to some of the words, but you should actually leave it in - it often makes the output sentences more convincing. Make a dictionary counting how many times each "word" appears in the list. Note that this will count words that contain the same letters but different punctuation or capitalization as different "words", and that's fine. From here, the function needs to return a string containing length words, separated by spaces. The first word in the output text must be chosen by passing in the dictionary of word counts into the weighted_choice function from problem A: this means that the word will always be one that appears in the given file, and the more often a given word appears in the file the more likely it will be the one to start our output text.
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