{ "data": { "question": { "questionId": "608", "questionFrontendId": "608", "boundTopicId": null, "title": "Tree Node", "titleSlug": "tree-node", "content": "

Table: Tree

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\n+-------------+------+\n| Column Name | Type |\n+-------------+------+\n| id          | int  |\n| p_id        | int  |\n+-------------+------+\nid is the column with unique values for this table.\nEach row of this table contains information about the id of a node and the id of its parent node in a tree.\nThe given structure is always a valid tree.\n
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Each node in the tree can be one of three types:

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Write a solution to report the type of each node in the tree.

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Return the result table in any order.

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The result format is in the following example.

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Example 1:

\n\"\"\n
\nInput: \nTree table:\n+----+------+\n| id | p_id |\n+----+------+\n| 1  | null |\n| 2  | 1    |\n| 3  | 1    |\n| 4  | 2    |\n| 5  | 2    |\n+----+------+\nOutput: \n+----+-------+\n| id | type  |\n+----+-------+\n| 1  | Root  |\n| 2  | Inner |\n| 3  | Leaf  |\n| 4  | Leaf  |\n| 5  | Leaf  |\n+----+-------+\nExplanation: \nNode 1 is the root node because its parent node is null and it has child nodes 2 and 3.\nNode 2 is an inner node because it has parent node 1 and child node 4 and 5.\nNodes 3, 4, and 5 are leaf nodes because they have parent nodes and they do not have child nodes.\n
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Example 2:

\n\"\"\n
\nInput: \nTree table:\n+----+------+\n| id | p_id |\n+----+------+\n| 1  | null |\n+----+------+\nOutput: \n+----+-------+\n| id | type  |\n+----+-------+\n| 1  | Root  |\n+----+-------+\nExplanation: If there is only one node on the tree, you only need to output its root attributes.\n
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MySQL 8.0.

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mssql server 2019.

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Oracle Sql 11.2.

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Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0

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PostgreSQL 16

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