def write elevation_maps (maps_file: TextI0, maps_list: list[list[list[int]]] ) -> None: Given an open csv file and a list of maps , write the maps back into the csv file according to the format specified in . That is, if the same file was then read from again by the function, it should return a list identical to . IMPORTANT: is an already open file, you can begin writing to i immediately. Furthermore, DO NOT close the file after you are finished writing the data in. pass

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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def write_elevation_maps(maps_file: TextI0, maps_list: list[list[list[int]]]
) -> None:
Given an open csv file <maps_file> and a list of maps <maps_list>, write
the maps back into the csv file according to the format specified in
<get_elevation_maps>. That is, if the same file was then read from again
by the <get_elevation_maps> function, it should return a list identical
to <maps_list>.
IMPORTANT: <maps_file> is an already open file, you can begin writing to it
immediately. Furthermore, DO NOT close the file <maps_file>
after you are finished writing the data in.
pass
Transcribed Image Text:def write_elevation_maps(maps_file: TextI0, maps_list: list[list[list[int]]] ) -> None: Given an open csv file <maps_file> and a list of maps <maps_list>, write the maps back into the csv file according to the format specified in <get_elevation_maps>. That is, if the same file was then read from again by the <get_elevation_maps> function, it should return a list identical to <maps_list>. IMPORTANT: <maps_file> is an already open file, you can begin writing to it immediately. Furthermore, DO NOT close the file <maps_file> after you are finished writing the data in. pass
sample_data.csv
2
4,5
6,7
77,99,99,48,31
96,63,10,36,7
11,66,5,72,32
74,99,14,5,35
1,37,55,33,45,98,36
90,1,57,95,88,56,81
35,11,75,11,35,38,85
46,3,51,49,73,17,90
27,99,93,58,18,30,65
91,59,14,15,82,72,3
Transcribed Image Text:sample_data.csv 2 4,5 6,7 77,99,99,48,31 96,63,10,36,7 11,66,5,72,32 74,99,14,5,35 1,37,55,33,45,98,36 90,1,57,95,88,56,81 35,11,75,11,35,38,85 46,3,51,49,73,17,90 27,99,93,58,18,30,65 91,59,14,15,82,72,3
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