Complete largest_at_position with the help of longest_chain. Can't use recursion, or any imports
Complete largest_at_position with the help of longest_chain. Can't use recursion, or any imports
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
Complete largest_at_position with the help of longest_chain.
Can't use recursion, or any imports
![edef largest_at_position(matrix: list[list[int]], row: int, col: int) -> int:
Returns the area of the largest rectangle whose top left corner is at
position <row>, <col> in <matrix>.
You MUST make use of the helper <longest_chain> here as you loop through
each row of the matrix. Do not modify (i.e., mutate) the input matrix.
>>> case1 = [[1, 0, 1, 0, 0],
[1, 0, 1, 1, 1],
[1, 1, 1, 1, 1],
[1, 0, 0, 1, 0]]
-2
>>> largest_at_position (case1, 0, 0)
3
4
54
>>> largest_at_position(case1, 2, 0)
55
56
>>> largest_at_position (case1, 1, 2)
57
6.
58
59
pass
68
61
longest_chain)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3af6e284-e26c-439c-b876-eb6e39620bb5%2F28033cf0-df85-417f-8a98-b5a77a0bd8d3%2Fml3xjy_processed.jpeg&w=3840&q=75)
Transcribed Image Text:edef largest_at_position(matrix: list[list[int]], row: int, col: int) -> int:
Returns the area of the largest rectangle whose top left corner is at
position <row>, <col> in <matrix>.
You MUST make use of the helper <longest_chain> here as you loop through
each row of the matrix. Do not modify (i.e., mutate) the input matrix.
>>> case1 = [[1, 0, 1, 0, 0],
[1, 0, 1, 1, 1],
[1, 1, 1, 1, 1],
[1, 0, 0, 1, 0]]
-2
>>> largest_at_position (case1, 0, 0)
3
4
54
>>> largest_at_position(case1, 2, 0)
55
56
>>> largest_at_position (case1, 1, 2)
57
6.
58
59
pass
68
61
longest_chain)
![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 longest_chain(lst: list[int]) -> int:
Your longest_chain function from last week, make sure this works properly
before proceeding with the rest of the lab!
Count = 0
i = 0
while i < len (lst) and lst[i] != 0:
i += 1
Count + 1
return count](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3af6e284-e26c-439c-b876-eb6e39620bb5%2F28033cf0-df85-417f-8a98-b5a77a0bd8d3%2Ftjtc0lm_processed.jpeg&w=3840&q=75)
Transcribed Image Text: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 longest_chain(lst: list[int]) -> int:
Your longest_chain function from last week, make sure this works properly
before proceeding with the rest of the lab!
Count = 0
i = 0
while i < len (lst) and lst[i] != 0:
i += 1
Count + 1
return count
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