10 Questions
What is the purpose of the 'can_extend' function?
To check if adding the item to the candidate won't exceed the capacity
In the context of the knapsack problem, what type of comparison should be used for selecting a new best candidate?
Greater than
What change is suggested in the code to make a new candidate the best?
Replace '==' with '>'
Which parameter can be removed from the 'can_extend' function according to the text?
Only item
What is the purpose of the 'satisfies_global' function according to the text?
To verify if an extension satisfies global constraints
Which action triggers checking if a new extension can be added to a candidate solution?
'Can_extend' calling itself recursively
What parameter should be passed to the 'value' function according to the text?
'Candidate' solution
If a candidate's value is equal to the current best, what action is suggested by the code?
'New best' updated with candidate
'Can_extend' function only needs which parameters based on information provided?
'Item' and 'capacity'
'Satisfies_global' function is suggested to be unnecessary for what reason?
'Can_extend' already handles all constraints
This quiz focuses on understanding backtracking algorithms in Python. It involves analyzing a Python function that extends candidates based on local constraints and recursive backtracking. The function aims to find valid permutations within a specified range of integers.
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