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def get elevation_maps (maps_file: TextI0) -> list[list[list[int]]]: Given an open csv file , read the file according to the specification and return all the elevation maps stored within the file. IMPORTANT: the given argument to the function is an OPEN file , you will not need to open it again, and can begin performing standard file operations on it. The file will be structured as follows: The first line will contain one number, which will denote the number of elevation maps stored within this file. TA The next n lines will contain two numbers each, "r" and "c", which are the number of rows and columns of each elevation map. The rest of the data will then be comprised of the elevation map data, which will follow one another in sequence, with no spaces in between. For an example, see "sample_data.csv". pass

def get elevation_maps (maps_file: TextI0) -> list[list[list[int]]]: Given an open csv file , read the file according to the specification and return all the elevation maps stored within the file. IMPORTANT: the given argument to the function is an OPEN file , you will not need to open it again, and can begin performing standard file operations on it. The file will be structured as follows: The first line will contain one number, which will denote the number of elevation maps stored within this file. TA The next n lines will contain two numbers each, "r" and "c", which are the number of rows and columns of each elevation map. The rest of the data will then be comprised of the elevation map data, which will follow one another in sequence, with no spaces in between. For an example, see "sample_data.csv". pass

Database System Concepts
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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Do not add any imports, the ones that you need will be given to you.
You may not use any dictionaries or dictionary methods.
Do not use try-except statements, you should be able to anticipate
or prevent any errors from happening at all!

def get elevation_maps(maps_file: TextI0) -> list[list[list[int]]]: Given an open csv file <maps_file>, read the file according to the specification and return all the elevation maps stored within the file. IMPORTANT: the given argument to the function is an OPEN file <maps_file>, you will not need to open it again, and can begin performing standard file operations on it. The file will be structured as follows: The first line will contain one number, which will denote the number of elevation maps stored within this file. The next n lines will contain two numbers each, "r" and "c", which are the number of rows and columns of each elevation map. The rest of the data will then be comprised of the elevation map data, which will follow one another in sequence, with no spaces in between. For an example, see "sample_data.csv". pass
Transcribed Image Text:def get elevation_maps(maps_file: TextI0) -> list[list[list[int]]]: Given an open csv file <maps_file>, read the file according to the specification and return all the elevation maps stored within the file. IMPORTANT: the given argument to the function is an OPEN file <maps_file>, you will not need to open it again, and can begin performing standard file operations on it. The file will be structured as follows: The first line will contain one number, which will denote the number of elevation maps stored within this file. The next n lines will contain two numbers each, "r" and "c", which are the number of rows and columns of each elevation map. The rest of the data will then be comprised of the elevation map data, which will follow one another in sequence, with no spaces in between. For an example, see "sample_data.csv". 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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