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
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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 crop_map(m: list[list[int]], corner_1: tuple[int, int],
corner_2: tuple[int, int]D -> list[list[int]]:
II II II
Given a 2D representation of an elevation map <m> and two points on the map
<corner_1> and <corner_2>, crop the map and return the smallest map such
that both these coordinates are now a corner on the new map.
Note that the new cropped map could just be a row, a column, or even a
single square like [[1]]. The new map must remain rectangular, that is,
each of its rows must be equal in length.
Do not modify the original map.
>>> sample_map
[[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[13, 14, 15, 16]]
>>> crop_map(sample_map, (1, 1), (2, 2))
[[6, 7], [10, 11]]
>>> crop_map (sample_map, (0, 0), (3, 0))
[[1], [5], [9], [13]]
>>> crop_map(sample_map, (0, 3), (0, 0))
[[1, 2, 3, 4]]
II II ||
Transcribed Image Text:def crop_map(m: list[list[int]], corner_1: tuple[int, int], corner_2: tuple[int, int]D -> list[list[int]]: II II II Given a 2D representation of an elevation map <m> and two points on the map <corner_1> and <corner_2>, crop the map and return the smallest map such that both these coordinates are now a corner on the new map. Note that the new cropped map could just be a row, a column, or even a single square like [[1]]. The new map must remain rectangular, that is, each of its rows must be equal in length. Do not modify the original map. >>> sample_map [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]] >>> crop_map(sample_map, (1, 1), (2, 2)) [[6, 7], [10, 11]] >>> crop_map (sample_map, (0, 0), (3, 0)) [[1], [5], [9], [13]] >>> crop_map(sample_map, (0, 3), (0, 0)) [[1, 2, 3, 4]] II II ||
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