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* ci(pre-commit): Add ``flake8-builtins`` additional dependency to ``pre-commit`` (#7104) * refactor: Fix ``flake8-builtins`` (#7104) * fix(lru_cache): Fix naming conventions in docstrings (#7104) * ci(pre-commit): Order additional dependencies alphabetically (#7104) * fix(lfu_cache): Correct function name in docstring (#7104) * Update strings/snake_case_to_camel_pascal_case.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update data_structures/stacks/next_greater_element.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update digital_image_processing/index_calculation.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update graphs/prim.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update hashes/djb2.py Co-authored-by: Christian Clauss <cclauss@me.com> * refactor: Rename `_builtin` to `builtin_` ( #7104) * fix: Rename all instances (#7104) * refactor: Update variable names (#7104) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * ci: Create ``tox.ini`` and ignore ``A003`` (#7123) * revert: Remove function name changes (#7104) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Rename tox.ini to .flake8 * Update data_structures/heap/heap.py Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com> * refactor: Rename `next_` to `next_item` (#7104) * ci(pre-commit): Add `flake8` plugin `flake8-bugbear` (#7127) * refactor: Follow `flake8-bugbear` plugin (#7127) * fix: Correct `knapsack` code (#7127) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: Christian Clauss <cclauss@me.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
59 lines
1.5 KiB
Python
59 lines
1.5 KiB
Python
def print_dist(dist, v):
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print("\nVertex Distance")
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for i in range(v):
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if dist[i] != float("inf"):
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print(i, "\t", int(dist[i]), end="\t")
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else:
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print(i, "\t", "INF", end="\t")
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print()
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def min_dist(mdist, vset, v):
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min_val = float("inf")
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min_ind = -1
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for i in range(v):
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if (not vset[i]) and mdist[i] < min_val:
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min_ind = i
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min_val = mdist[i]
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return min_ind
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def dijkstra(graph, v, src):
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mdist = [float("inf") for _ in range(v)]
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vset = [False for _ in range(v)]
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mdist[src] = 0.0
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for _ in range(v - 1):
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u = min_dist(mdist, vset, v)
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vset[u] = True
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for i in range(v):
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if (
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(not vset[i])
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and graph[u][i] != float("inf")
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and mdist[u] + graph[u][i] < mdist[i]
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):
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mdist[i] = mdist[u] + graph[u][i]
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print_dist(mdist, i)
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if __name__ == "__main__":
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V = int(input("Enter number of vertices: ").strip())
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E = int(input("Enter number of edges: ").strip())
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graph = [[float("inf") for i in range(V)] for j in range(V)]
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for i in range(V):
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graph[i][i] = 0.0
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for i in range(E):
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print("\nEdge ", i + 1)
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src = int(input("Enter source:").strip())
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dst = int(input("Enter destination:").strip())
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weight = float(input("Enter weight:").strip())
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graph[src][dst] = weight
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gsrc = int(input("\nEnter shortest path source:").strip())
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dijkstra(graph, V, gsrc)
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