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Persistent Segment Tree #12186
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Persistent Segment Tree #12186
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for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
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Click here to look at the relevant links ⬇️
🔗 Relevant Links
Repository:
Python:
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self.roots.append(new_root) | ||
return len(self.roots) - 1 | ||
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def _update(self, node: Node | None, start: int, end: int, index: int, value: int) -> Node: |
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As there is no test file in this pull request nor any test function or class in the file data_structures/persistent_segment_tree.py
, please provide doctest for the function _update
""" | ||
return self._query(self.roots[version], 0, self.n - 1, left, right) | ||
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def _query(self, node: Node | None, start: int, end: int, left: int, right: int) -> int: |
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As there is no test file in this pull request nor any test function or class in the file data_structures/persistent_segment_tree.py
, please provide doctest for the function _query
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
There was a problem hiding this comment.
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Click here to look at the relevant links ⬇️
🔗 Relevant Links
Repository:
Python:
Automated review generated by algorithms-keeper. If there's any problem regarding this review, please open an issue about it.
algorithms-keeper
commands and options
algorithms-keeper actions can be triggered by commenting on this PR:
@algorithms-keeper review
to trigger the checks for only added pull request files@algorithms-keeper review-all
to 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.
self.roots: list[Node] = [] | ||
self.roots.append(self._build(arr, 0, self.n - 1)) | ||
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def _build(self, arr: list[int], start: int, end: int) -> Node: |
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As there is no test file in this pull request nor any test function or class in the file data_structures/persistent_segment_tree.py
, please provide doctest for the function _build
node.value = node.left.value + node.right.value | ||
return node | ||
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def update(self, version: int, index: int, value: int) -> int: |
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As there is no test file in this pull request nor any test function or class in the file data_structures/persistent_segment_tree.py
, please provide doctest for the function update
self.roots.append(new_root) | ||
return len(self.roots) - 1 | ||
|
||
def _update(self, node: Node | None, start: int, end: int, index: int, value: int) -> Node: |
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As there is no test file in this pull request nor any test function or class in the file data_structures/persistent_segment_tree.py
, please provide doctest for the function _update
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return new_node | ||
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def query(self, version: int, left: int, right: int) -> int: |
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As there is no test file in this pull request nor any test function or class in the file data_structures/persistent_segment_tree.py
, please provide doctest for the function query
""" | ||
return self._query(self.roots[version], 0, self.n - 1, left, right) | ||
|
||
def _query(self, node: Node | None, start: int, end: int, left: int, right: int) -> int: |
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As there is no test file in this pull request nor any test function or class in the file data_structures/persistent_segment_tree.py
, please provide doctest for the function _query
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
The persistent segment tree allows us to efficiently query and update an array while preserving previous versions of the array. The primary operations include:
Build Operation: Constructs the segment tree from the given array. Each node represents a range of the array and stores the sum of that range.
Update Operation: When an update is performed, a new version of the segment tree is created without modifying the existing tree. This is achieved by copying the necessary nodes and updating the affected ranges.
Query Operation: To retrieve the sum of a given range, the segment tree is traversed based on the requested indices. The operation can access multiple versions of the tree to return the correct sum for each version.
Time and Space Complexity:
Time Complexity:
Space Complexity:
Describe your change:
Checklist: