5.4. Performance measures of the model In this section, we perfonn time dependent analysis of some performance measures such as the average number of customers salring working vacation period. the...

5.4. Performance measures of the model
In this section, we perfonn time dependent analysis of some performance measures such as the average number of customers salring working vacation period. the average number of customers in the system during normal servwe period sod the average number of customers m the system. E g
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The task is to build a command-line interface for doing rudimentary searching of datasets. Your program should do the following: 1. Accept command-line arguments using sys.argv -- the first argument should be the dataset to be searched and second should be the search string; for example: python3 homework3.py aoc.json climate 2. Use the user-supplied arguments to search through the Twitter data we have looked at before (​aoc.json​), using a class called "Tweet()" to model the data in memory; a second class should be used to represent the dataset, and should contain the list of Tweet objects; 3. The __init__ method of the DataSet class should take the path to a JSON file as an argument. When a DataSet object is created, this initializer should read and parse the JSON file, and ​create​ a Tweet object for each dictionary in the list of dictionaries that makes up the parsed JSON file. The __init__ of the Tweet class should take arguments corresponding to the keys in the Twitter data. 4. When run, your program should load the dataset from the file, and use regular expressions to search the dataset, displaying a list of matches (by showing the timestamp followed by the text of the tweet); 5. Use the supplied ​code template , and follow the ​coding stylesheet 6. (Links to an external site.) 7. . https://umd.instructure.com/courses/1288444/files/59077604/download?wrap=1 https://umd.instructure.com/courses/1288444/assignments/5329497# https://umd.instructure.com/courses/1288444/files/59078224/download?wrap=1 https://umd.instructure.com/courses/1288444/files/59078224/download?wrap=1 https://umd-ischool-inst326.github.io/inst326-public/style/style-guide.html https://umd-ischool-inst326.github.io/inst326-public/style/style-guide.html