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TURN IN #1 Write a program to prompt for a file name, and then read through the file and look for lines of the form:X-DSPAM-Confidence: 0.8475When you encounter a line that starts with “X-DSPAM-Confidence:” pull apart the line to extract the floating-point number on the line. Count these lines and then compute the total of the spam confidence values from these lines. When you reach the end of the file, print out the average spam confidence.Enter the file name: mbox.txtAverage spam confidence: 0.894128046745Enter the file name: mbox-short.txtAverage spam confidence: 0.750718518519Test your file on the mbox.txt and mbox-short.txt filesHINT:1.Download the two text files: mbox.txt and mbox-short.txt from http://www.pythonlearn.com/code3/ to your local machine. For ease, ensure these files reside in the same folder as the .py file for this assignment.2.Begin writing your code by prompting the user for the file name. Use a try-except block to exit with a user-friendly error message if there is an error opening the file name specified. 3.Once the file is opened, use an iterative loop (e.g. “for” or “while”) to traverse each line of the file. 4.(A quick manual exploration of mbox text files reveals that the number representing spam con fidence is found at the end of the line). In each line, find the pattern “X-DSPAM-Con fidence:”. If this is found, extract the portion of the line after this pattern until the end of theline. “find”, string extraction and “strip” functions are useful here.5.Convert the numeric part extracted from the line into a float.6.When the program has finished traversing each line in the specified file, total the number of lines that had the pattern and compute average spam confidence.7.Note: In your calculation for average spam confidence, do NOT count the lines that did that not contain the pattern. Be sure to comment your program adequately!8.Remember your Python code will be graded according to our class Rubric.9.Submit your Python code file. Name it “XXXX-dspam.py” where XXXX is your name. 10.Submit also a Word document showing screen shots of the various testing conditions. Good programmers test all cases, so you should make sure you show tests for erroneous inputs, the mbox-short.txt, and the mbox.txt files.
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