LAB RESTRICTIONS, PLEASE READ: 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!
LAB RESTRICTIONS, PLEASE READ: 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!
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
Related questions
Question
SOLVE WRITE_ELEVATION_MAPS:
do NOT solve for GET_elevation_maps
LAB RESTRICTIONS, PLEASE READ: 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 write_elevation_maps(maps_file: TextIO, maps_list: list[list[list[int]]]
) -> None:
IL || ||
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.
IL I| ||](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7345dbf4-e1f2-469e-892e-6f40faaa81dd%2F061137f6-dc75-4030-a3b0-f8006b8c3451%2Fukhnz4k_processed.png&w=3840&q=75)
Transcribed Image Text:def write_elevation_maps(maps_file: TextIO, maps_list: list[list[list[int]]]
) -> None:
IL || ||
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.
IL I| ||
![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".
n = int(maps_file.readline())
RowCoulmnList
[]
for i in range (n):
string = maps_file.readline()
stringlist =
row = int(stringList[0])
column = int(stringList[1])
string.split(' ')
RowCoulmnList.append([row column])
[]
for i in range(n):
result =
RowCoulmnList[i][0]
RowCoulmnList[i][1]
row =
column =
elevation_data = []
for j in range (row):
string
= maps_file.readline()
string.split(' ')
stringList
for k in range (column):
stringList[k] = int(stringList[k])
elevation_data.append(stringList)
result.append (elevation_data)
return result](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7345dbf4-e1f2-469e-892e-6f40faaa81dd%2F061137f6-dc75-4030-a3b0-f8006b8c3451%2Fn20r41_processed.png&w=3840&q=75)
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".
n = int(maps_file.readline())
RowCoulmnList
[]
for i in range (n):
string = maps_file.readline()
stringlist =
row = int(stringList[0])
column = int(stringList[1])
string.split(' ')
RowCoulmnList.append([row column])
[]
for i in range(n):
result =
RowCoulmnList[i][0]
RowCoulmnList[i][1]
row =
column =
elevation_data = []
for j in range (row):
string
= maps_file.readline()
string.split(' ')
stringList
for k in range (column):
stringList[k] = int(stringList[k])
elevation_data.append(stringList)
result.append (elevation_data)
return result
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