feat: add LeetCode 112 Path Sum solution and update markdownlint conf…#339
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📝 WalkthroughWalkthroughLeetCode 112「Path Sum」用の日本語教材(TypeScript/Pythonガイド、詳細README、インタラクティブHTML×2)を追加し、.markdownlint.json を更新、public/index.html にカード登録とカウント更新を行います。 変更内容Markdown リント設定更新
LeetCode 112 Path Sum 教育コンテンツ
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Actionable comments posted: 3
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In @.markdownlint.json:
- Line 7: The change to "MD007": { "indent": 4 } causes a destructive repo-wide
formatting mismatch; revert the MD007 indent setting back to 2 in
.markdownlint.json to preserve existing 2-space nested lists, or if you intend
to standardize on 4 spaces, run an automated migration instead: update
.markdownlint.json only after running a script that recursively converts nested
list indentation from 2 to 4 spaces across the repo (ensure it touches files
such as the listed README.md files), commit those converted Markdown files
together with the lint config change, and verify with markdownlint tests;
reference the "MD007" rule in .markdownlint.json and the README.md files
mentioned in the review when applying the fix.
In `@Algorithm/BinaryTree/leetcode/112`. Path Sum/claude sonnet 4.6
adaptive/Path_Sum_Python.md:
- Around line 1-4: The file Path_Sum_Python.md contains TypeScript content
(declared "TypeScript" on line 2 and actual TS implementation around lines
97-140); fix by either renaming this file to Path_Sum_Typescript.md or moving
the TypeScript sections from Path_Sum_Python.md into the correct
Path_Sum_Typescript.md and restoring Python content into Path_Sum_Python.md so
filenames match their implementations; look for the TypeScript header and
implementation blocks in Path_Sum_Python.md to relocate or rename accordingly.
In `@Algorithm/BinaryTree/leetcode/112`. Path Sum/claude sonnet 4.6
adaptive/Path_Sum_Typescript.md:
- Around line 202-203: Update the paragraph that currently claims
"ノード数5000以下という制約なので、再帰深度の問題はほぼ気にしなくてよい" to accurately reflect CPython's default
recursion limit (1000) and the risk of RecursionError for highly unbalanced
trees: state that although total nodes ≤5000, a worst-case skewed tree with
depth >1000 can still trigger RecursionError, and suggest either using an
iterative DFS/BFS implementation (or explicitly increasing the recursion limit)
as alternatives; modify the sentence in Path_Sum_Typescript.md accordingly so it
aligns with the warning already present earlier in the file.
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Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
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Configuration used: Organization UI
Review profile: ASSERTIVE
Plan: Pro
Run ID: 1aad5536-b36b-426e-b40b-52542457ac98
📒 Files selected for processing (7)
.markdownlint.jsonAlgorithm/BinaryTree/leetcode/112. Path Sum/claude sonnet 4.6 adaptive/Path_Sum_Python.mdAlgorithm/BinaryTree/leetcode/112. Path Sum/claude sonnet 4.6 adaptive/Path_Sum_Typescript.mdAlgorithm/BinaryTree/leetcode/112. Path Sum/claude sonnet 4.6 adaptive/README.mdAlgorithm/BinaryTree/leetcode/112. Path Sum/claude sonnet 4.6 adaptive/README_react.htmlpublic/Algorithm/BinaryTree/leetcode/112. Path Sum/claude sonnet 4.6 adaptive/README_react.htmlpublic/index.html
…th_Sum_Typescript.md and update recursion limit warnings
…dy into dev-from-macmini
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Actionable comments posted: 2
♻️ Duplicate comments (1)
Algorithm/BinaryTree/leetcode/112. Path Sum/claude sonnet 4.6 adaptive/Path_Sum_Typescript.md (1)
75-76:⚠️ Potential issue | 🟡 Minor | ⚡ Quick win再帰深度リスクの記述が過度に断定的です
「リスクが極めて低い」は不正確です。片側に偏った木では深さが最大 5000 になり得るため、実行環境次第で再帰スタック上限に達する可能性があります。再帰採用理由は維持しつつ、最悪ケースでは反復DFS/BFSも選択肢である旨に修正してください。
修正文案(例)
- - 反復DFS(方法②)を選ばない理由 → 制約がノード数5000以下のため、再帰の深さ上限に引っかかるリスクが極めて低い。実装もシンプルな再帰の方が読みやすい + - 反復DFS(方法②)を選ばない理由 → 実装の簡潔さ・可読性を優先して再帰を採用。なお、片側に偏った木では深さが大きくなり、実行環境によっては再帰スタック上限に達する可能性があるため、その場合は反復DFS/BFSを選ぶ🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@Algorithm/BinaryTree/leetcode/112`. Path Sum/claude sonnet 4.6 adaptive/Path_Sum_Typescript.md around lines 75 - 76, 本文の「反復DFS(方法②)を選ばない理由 → 制約がノード数5000以下のため、再帰の深さ上限に引っかかるリスクが極めて低い。」という断定表現を修正し、再帰採用の理由は残しつつ最悪ケース(片側に偏った木で深さが最大に達する可能性)では反復DFS/BFSが合理的な代替案である旨を追記してください; 対象の識別子は本文中の「反復DFS(方法②)」「再帰DFS(方法①)」で、これらの箇所を編集して「リスクがゼロではない」「実行環境によっては再帰深度上限に達する可能性があるため、その場合は反復DFSやBFSを検討する」といった軽い注意文を追加してください。
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@Algorithm/BinaryTree/leetcode/112`. Path Sum/claude sonnet 4.6
adaptive/Path_Sum_Python.md:
- Around line 154-155: The comment claiming "deque の pop() は内部が C 実装のため若干高速" is
misleading; update the explanatory comment around the stack declaration (stack:
deque[tuple[TreeNode, int]] = deque()) to remove the performance claim and
instead state the real motivation—for example, that a deque is used as an
explicit stack to avoid recursion and for clearer push/pop semantics (or to
allow efficient popleft() if needed)—and ensure the revised comment references
implementation clarity or recursion avoidance rather than incorrect
C-implementation performance superiority.
- Around line 26-27: Replace the sentence
"最速手法:再帰DFS(深さ優先探索)。Pythonの再帰はオーバーヘッドがあるが、ノード数5000以下なら実用上問題なし" with a clarified
warning that notes CPython's default recursion limit (~1000) can cause
RecursionError on skewed trees (depths up to 5000), and suggest that while
recursive DFS is often fastest in typical cases or competitive settings, it is
unsafe for worst-case deep trees unless the recursion limit is raised or an
iterative stack-based DFS is used; keep the rest of the performance/memory
claims intact.
---
Duplicate comments:
In `@Algorithm/BinaryTree/leetcode/112`. Path Sum/claude sonnet 4.6
adaptive/Path_Sum_Typescript.md:
- Around line 75-76: 本文の「反復DFS(方法②)を選ばない理由 →
制約がノード数5000以下のため、再帰の深さ上限に引っかかるリスクが極めて低い。」という断定表現を修正し、再帰採用の理由は残しつつ最悪ケース(片側に偏った木で深さが最大に達する可能性)では反復DFS/BFSが合理的な代替案である旨を追記してください;
対象の識別子は本文中の「反復DFS(方法②)」「再帰DFS(方法①)」で、これらの箇所を編集して「リスクがゼロではない」「実行環境によっては再帰深度上限に達する可能性があるため、その場合は反復DFSやBFSを検討する」といった軽い注意文を追加してください。
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: ASSERTIVE
Plan: Pro
Run ID: 8dfab536-c967-4b73-86d5-8e20e413acb7
📒 Files selected for processing (2)
Algorithm/BinaryTree/leetcode/112. Path Sum/claude sonnet 4.6 adaptive/Path_Sum_Python.mdAlgorithm/BinaryTree/leetcode/112. Path Sum/claude sonnet 4.6 adaptive/Path_Sum_Typescript.md
…iguration
主に LeetCode 112. Path Sum
に関するドキュメント(Python/TypeScript版)の整合性修正と、記述の正確性向上です。
要約すると以下の通りです:
ドキュメント間の不整合修正と内容の同期
Python版とTypeScript版のドキュメント間で発生していた、使用言語や解説内容の食い違い(他方の言語の
記述が混ざっている等)を修正し、各言語に最適な内容に同期させました。
再帰制限に関する警告の強化(Python版)
CPythonのデフォルト再帰制限(約1000)では、制約上の最大ノード数(5000)の偏った木において
RecursionError が発生するリスクを明記しました。
の調整、業務開発向けには反復DFS(スタック使用)による回避を推奨する記述を追加しました。
明示的なスタックとして使用する目的は「再帰の回避」と「実装の意図(LIFO/FIFO)を明確にすること
」であると正しく定義し直しました。