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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>
37 lines
817 B
Python
37 lines
817 B
Python
def topological_sort(graph):
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"""
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Kahn's Algorithm is used to find Topological ordering of Directed Acyclic Graph
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using BFS
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"""
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indegree = [0] * len(graph)
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queue = []
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topo = []
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cnt = 0
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for values in graph.values():
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for i in values:
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indegree[i] += 1
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for i in range(len(indegree)):
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if indegree[i] == 0:
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queue.append(i)
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while queue:
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vertex = queue.pop(0)
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cnt += 1
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topo.append(vertex)
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for x in graph[vertex]:
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indegree[x] -= 1
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if indegree[x] == 0:
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queue.append(x)
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if cnt != len(graph):
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print("Cycle exists")
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else:
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print(topo)
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# Adjacency List of Graph
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graph = {0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}
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topological_sort(graph)
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