Write a method which can read and parse a file containing information about weekly feedback from apprentices about a mentor. The mentor is rated in 4 different metrics, those are respectively (matReview, presSkills, helpfulness, explanation) separated with 1 space: m = matReview p= presSkills h = helpfulness e = explanation mphe // this is just an into line which is nol in the aclual file 1353 / this line is an answer from an apprentice 2343 / this is another response The method should return a map/ dictionary containing the average rating (in 1/9 each metric) of the mentor. Еxample Example file can be found here. ET 17

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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Question

Java Program

11:24 *
( Název
Write a method which can read and parse
a file containing information about weekly
feedback from apprentices about a mentor.
The mentor is rated in 4 different metrics,
those are respectively (matReview,
presSkills, helpfulness, explanation)
separated with 1 space:
m = matReview
p= presSkills
h = helpfulness
e = explanation
mphe // this is just an info line which is
nol in the aclual file
1353 / this line is an answer trom an
apprentice
2343 / this is another response
The method should return a map/
dictionary containing the average rating (in
each metric) of the mentor.
Example
Example file can be found here.
ET
T.
17
II
Transcribed Image Text:11:24 * ( Název Write a method which can read and parse a file containing information about weekly feedback from apprentices about a mentor. The mentor is rated in 4 different metrics, those are respectively (matReview, presSkills, helpfulness, explanation) separated with 1 space: m = matReview p= presSkills h = helpfulness e = explanation mphe // this is just an info line which is nol in the aclual file 1353 / this line is an answer trom an apprentice 2343 / this is another response The method should return a map/ dictionary containing the average rating (in each metric) of the mentor. Example Example file can be found here. ET T. 17 II
1124
AI 96
( Název
Output
{
"matReview": 2.25,
"presSkills": 4.0, // or 4 is fine as well
"helpfulness': 4.5,
"explanations": 3.75
ET
17-
Transcribed Image Text:1124 AI 96 ( Název Output { "matReview": 2.25, "presSkills": 4.0, // or 4 is fine as well "helpfulness': 4.5, "explanations": 3.75 ET 17-
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