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You are given a log file with a list of GET requests delimited with double quotes and spaces. A sample and the structure of the text file containing the log entries are given below. Sample log record: {:[" unicomp6.unicomp.net - - [01/JuL/1995: "theta theta:theta theta:theta6" - "04 theta theta]" "GET "],[" /shuttle/countdown/ HTTP/1. "0^(n)2003985]:} Log file structure: Hostname - - Timestamp Request HTTP Response Code unicomp6.unicomp.net - - [01/Jul/1995:00:00:06 -0400] "GeT /shuttle/countdown/ HTTP/1.0" 200 Given a filename that denotes a text file in the current working directory. Create an output file with the name "bytes_." prefixed to the filename (bytes_filename) which stores the information about large responses. Example: filename = "hosts_access_l

User David Liao
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Final answer:

The question pertains to parsing a web server log file to extract and store entries with large HTTP responses into a new file prefixed with "bytes_".

Step-by-step explanation:

The correct answer is that the student is asking how to parse a log file and create a new file that contains information on large HTTP responses. Specifically, the task is to analyze a log file's GET requests and extract records with significant response sizes.

The newly generated file should have a name prefixed with "bytes_", which suggests that it will store data related to the size of the responses (presumably the byte count). This operation would likely involve writing a script or a program in a language such as Python or using command-line tools like grep, awk, or sed to process the text file.

User August Lin
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