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Enhancement of the knapsack algorithm #9266 #9682

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dasdebanna
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@dasdebanna dasdebanna commented Oct 4, 2023

Describe your change:

I have done the following changes:
1)Added the missing f parameter to the mf_knapsack function.
2)Fixed the indexing issue in the knapsack function.
3)Added type hints to function parameters.
4)Fixed the indexing issue in the knapsack_with_example_solution function.
5)Added type hints to the return type of the knapsack_with_example_solution function.
6)Fixed the indexing issue in the _construct_solution function.
7)Added type hints to the parameters of the _construct_solution function.
8)Passed the f parameter to the mf_knapsack function in the main block.

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the description above includes the issue number(s) with a closing keyword: "Fixes Enhancement of the knapsack algorithm #9266 ".

dasdebanna and others added 7 commits September 26, 2023 18:37
The BinaryTree class has been created with the root node as its only argument. The utility functions have been modified to be methods of the BinaryTree class. The display, depth_of_tree, and is_full_binary_tree functions now take self as their first argument. The main function has been modified to create a BinaryTree object and call its methods instead of calling the utility functions directly.
The BinaryTree class has been created with the root node as its only argument. The utility functions have been modified to be methods of the BinaryTree class. The display, depth_of_tree, and is_full_binary_tree functions now take self as their first argument. The main function has been modified to create a BinaryTree object and call its methods instead of calling the utility functions directly.
I have done the following changes:
1)Added the missing f parameter to the mf_knapsack function.
2)Fixed the indexing issue in the knapsack function.
3)Added type hints to function parameters.
4)Fixed the indexing issue in the knapsack_with_example_solution function.
5)Added type hints to the return type of the knapsack_with_example_solution function.
6)Fixed the indexing issue in the _construct_solution function.
7)Added type hints to the parameters of the _construct_solution function.
8)Passed the f parameter to the mf_knapsack function in the __main__ block.
@dasdebanna
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@tianyizheng02 Any maintainer please review and close #9266

@ChrisO345
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Please DO NOT remove tests

@algorithms-keeper algorithms-keeper bot added awaiting reviews This PR is ready to be reviewed tests are failing Do not merge until tests pass labels Oct 8, 2023
@cclauss
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cclauss commented Sep 30, 2024

Closing tests_are_failing PRs to prepare for Hacktoberfest 2024

@cclauss cclauss closed this Sep 30, 2024
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Enhancement of the knapsack algorithm
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