added TSP solution using MST implementation with docstrings under Graphs#13682
added TSP solution using MST implementation with docstrings under Graphs#13682raisaaajose wants to merge 7 commits intoTheAlgorithms:masterfrom
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This reverts commit d3d010f.
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| @@ -0,0 +1,206 @@ | |||
| import heapq | |||
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| def tsp(cost): | |||
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As there is no test file in this pull request nor any test function or class in the file graphs/travelling_salesman.py, please provide doctest for the function tsp
Please provide return type hint for the function: tsp. If the function does not return a value, please provide the type hint as: def function() -> None:
Please provide type hint for the parameter: cost
| # Sort each adjacency list based | ||
| # on the weight of the edges | ||
| for i in range(n): | ||
| adj[i].sort(key=lambda a: a[1]) |
There was a problem hiding this comment.
Please provide descriptive name for the parameter: a
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Repository:
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algorithms-keeper commands and options
algorithms-keeper actions can be triggered by commenting on this PR:
@algorithms-keeper reviewto trigger the checks for only added pull request files@algorithms-keeper review-allto trigger the checks for all the pull request files, including the modified files. As we cannot post review comments on lines not part of the diff, this command will post all the messages in one comment.NOTE: Commands are in beta and so this feature is restricted only to a member or owner of the organization.
| import heapq | ||
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| def tsp(cost): |
There was a problem hiding this comment.
As there is no test file in this pull request nor any test function or class in the file graphs/travelling_salesman.py, please provide doctest for the function tsp
Please provide return type hint for the function: tsp. If the function does not return a value, please provide the type hint as: def function() -> None:
Please provide type hint for the parameter: cost
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| # function to implement approximate TSP | ||
| def approximate_tsp(adj): |
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As there is no test file in this pull request nor any test function or class in the file graphs/travelling_salesman.py, please provide doctest for the function approximate_tsp
Please provide return type hint for the function: approximate_tsp. If the function does not return a value, please provide the type hint as: def function() -> None:
Please provide type hint for the parameter: adj
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| return tour_path | ||
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| def tour_cost(tour): |
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As there is no test file in this pull request nor any test function or class in the file graphs/travelling_salesman.py, please provide doctest for the function tour_cost
Please provide return type hint for the function: tour_cost. If the function does not return a value, please provide the type hint as: def function() -> None:
Please provide type hint for the parameter: tour
| return cost | ||
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| def eulerian_circuit(adj, u, tour, visited, parent): |
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As there is no test file in this pull request nor any test function or class in the file graphs/travelling_salesman.py, please provide doctest for the function eulerian_circuit
Please provide return type hint for the function: eulerian_circuit. If the function does not return a value, please provide the type hint as: def function() -> None:
Please provide type hint for the parameter: adj
Please provide descriptive name for the parameter: u
Please provide type hint for the parameter: u
Please provide type hint for the parameter: tour
Please provide type hint for the parameter: visited
Please provide type hint for the parameter: parent
| eulerian_circuit(adj, v, tour, visited, u) | ||
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| # function to find the minimum spanning tree | ||
| def find_mst(adj, mst_cost): |
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As there is no test file in this pull request nor any test function or class in the file graphs/travelling_salesman.py, please provide doctest for the function find_mst
Please provide return type hint for the function: find_mst. If the function does not return a value, please provide the type hint as: def function() -> None:
Please provide type hint for the parameter: adj
Please provide type hint for the parameter: mst_cost
| # Sort each adjacency list based | ||
| # on the weight of the edges | ||
| for i in range(n): | ||
| adj[i].sort(key=lambda a: a[1]) |
There was a problem hiding this comment.
Please provide descriptive name for the parameter: a
| cost_VW = y[1] | ||
| for z in adj[u]: | ||
| if z[0] == w: | ||
| cost_UW = z[1] |
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Variable and function names should follow the snake_case naming convention. Please update the following name accordingly: cost_UW
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| # function to create the adjacency list | ||
| def create_list(cost): |
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As there is no test file in this pull request nor any test function or class in the file graphs/travelling_salesman.py, please provide doctest for the function create_list
Please provide return type hint for the function: create_list. If the function does not return a value, please provide the type hint as: def function() -> None:
Please provide type hint for the parameter: cost
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