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Add annotations to networkx.algorithms.approximation.treewidth (#14983)
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@@ -1,4 +1,6 @@
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from _typeshed import Incomplete
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from collections.abc import Callable, Mapping
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from typing import Generic
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from networkx.classes.graph import Graph, _Node
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from networkx.utils.backends import _dispatchable
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@@ -6,16 +8,18 @@ from networkx.utils.backends import _dispatchable
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__all__ = ["treewidth_min_degree", "treewidth_min_fill_in"]
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@_dispatchable
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def treewidth_min_degree(G: Graph[_Node]): ...
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def treewidth_min_degree(G: Graph[_Node]) -> tuple[int, Graph[frozenset[_Node]]]: ...
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@_dispatchable
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def treewidth_min_fill_in(G: Graph[_Node]): ...
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def treewidth_min_fill_in(G: Graph[_Node]) -> tuple[int, Graph[frozenset[_Node]]]: ...
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class MinDegreeHeuristic:
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class MinDegreeHeuristic(Generic[_Node]):
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count: Incomplete
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def __init__(self, graph) -> None: ...
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def best_node(self, graph): ...
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def __init__(self, graph: Graph[_Node]) -> None: ...
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def best_node(self, graph: Mapping[_Node, set[_Node]]) -> _Node | None: ...
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def min_fill_in_heuristic(graph_dict) -> Incomplete | None: ...
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def min_fill_in_heuristic(graph_dict: Mapping[_Node, set[_Node]]) -> _Node | None: ...
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@_dispatchable
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def treewidth_decomp(G: Graph[_Node], heuristic=...) -> tuple[int, Graph[_Node]]: ...
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def treewidth_decomp(
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G: Graph[_Node], heuristic: Callable[[dict[_Node, set[_Node]]], _Node | None] = ...
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) -> tuple[int, Graph[frozenset[_Node]]]: ...
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