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fixed deprications
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Diff for: graphs/bidirectional_search.py

+16-16
Original file line numberDiff line numberDiff line change
@@ -12,12 +12,12 @@
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"""
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from collections import deque
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from typing import Dict, List, Optional
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from typing import Optional
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def bidirectional_search(
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graph: Dict[int, List[int]], start: int, goal: int
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) -> Optional[List[int]]:
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graph: dict[int, list[int]], start: int, goal: int
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) -> list[int] | None:
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"""
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Perform bidirectional search on a graph to find the shortest path.
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@@ -67,8 +67,8 @@ def bidirectional_search(
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# Initialize forward and backward search dictionaries
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# Each maps a node to its parent in the search
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forward_parents = {start: None}
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backward_parents = {goal: None}
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forward_parents: dict[int, int | None] = {start: None}
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backward_parents: dict[int, int | None] = {goal: None}
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# Initialize forward and backward search queues
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forward_queue = deque([start])
@@ -110,19 +110,19 @@ def bidirectional_search(
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return None
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# Construct path from start to intersection
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forward_path = []
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current = intersection
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while current is not None:
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forward_path.append(current)
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current = forward_parents[current]
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forward_path: list[int] = []
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current_forward: int | None = intersection
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while current_forward is not None:
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forward_path.append(current_forward)
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current_forward = forward_parents[current_forward]
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forward_path.reverse()
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# Construct path from intersection to goal
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backward_path = []
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current = backward_parents[intersection]
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while current is not None:
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backward_path.append(current)
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current = backward_parents[current]
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backward_path: list[int] = []
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current_backward: int | None = backward_parents[intersection]
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while current_backward is not None:
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backward_path.append(current_backward)
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current_backward = backward_parents[current_backward]
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# Return the complete path
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return forward_path + backward_path
@@ -131,7 +131,7 @@ def bidirectional_search(
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def main() -> None:
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"""
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Run example of bidirectional search algorithm.
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Examples:
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>>> main() # doctest: +NORMALIZE_WHITESPACE
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Path from 0 to 11: [0, 1, 3, 7, 11]

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