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https://gitee.com/coder-xiaomo/leetcode-problemset
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62 lines
4.1 KiB
JSON
62 lines
4.1 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "2441",
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"questionFrontendId": "2308",
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"boundTopicId": null,
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"title": "Arrange Table by Gender",
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"titleSlug": "arrange-table-by-gender",
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"content": null,
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"translatedTitle": null,
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Medium",
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"likes": 70,
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"dislikes": 14,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\": {\"Genders\": [\"user_id\", \"gender\"]}, \"rows\": {\"Genders\": [[4, \"male\"], [7, \"female\"], [2, \"other\"], [5, \"male\"], [3, \"female\"], [8, \"male\"], [6, \"other\"], [1, \"other\"], [9, \"female\"]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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"topicTags": [
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{
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"name": "Database",
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"slug": "database",
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"translatedName": null,
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"__typename": "TopicTagNode"
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}
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],
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"companyTagStats": null,
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"codeSnippets": null,
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"stats": "{\"totalAccepted\": \"4.6K\", \"totalSubmission\": \"6.7K\", \"totalAcceptedRaw\": 4592, \"totalSubmissionRaw\": 6722, \"acRate\": \"68.3%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\": {\"Genders\": [\"user_id\", \"gender\"]}, \"rows\": {\"Genders\": [[4, \"male\"], [7, \"female\"], [2, \"other\"], [5, \"male\"], [3, \"female\"], [8, \"male\"], [6, \"other\"], [1, \"other\"], [9, \"female\"]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Genders (user_id int, gender ENUM('female', 'other', 'male'))\"], \"mssql\": [\"Create table Genders (user_id int, gender VARCHAR(6) NOT NULL CHECK (gender IN ('female', 'other', 'male')))\"], \"oraclesql\": [\"Create table Genders (user_id int, gender VARCHAR(6) NOT NULL CHECK (gender IN ('female', 'other', 'male')))\"], \"database\": true, \"name\": \"arrange_table\", \"pythondata\": [\"Genders = pd.DataFrame([], columns=['user_id', 'gender']).astype({'user_id':'Int64', 'gender':'object'})\"], \"postgresql\": [\"Create table If Not Exists Genders (user_id int, gender VARCHAR(30) CHECK (gender IN ('female', 'other', 'male')))\\n\"], \"database_schema\": {\"Genders\": {\"user_id\": \"INT\", \"gender\": \"ENUM('female', 'other', 'male')\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table If Not Exists Genders (user_id int, gender ENUM('female', 'other', 'male'))",
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"Truncate table Genders",
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"insert into Genders (user_id, gender) values ('4', 'male')",
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"insert into Genders (user_id, gender) values ('7', 'female')",
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"insert into Genders (user_id, gender) values ('2', 'other')",
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"insert into Genders (user_id, gender) values ('5', 'male')",
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"insert into Genders (user_id, gender) values ('3', 'female')",
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"insert into Genders (user_id, gender) values ('8', 'male')",
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"insert into Genders (user_id, gender) values ('6', 'other')",
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"insert into Genders (user_id, gender) values ('1', 'other')",
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"insert into Genders (user_id, gender) values ('9', 'female')"
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],
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
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"libraryUrl": null,
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"adminUrl": null,
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"challengeQuestion": null,
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"__typename": "QuestionNode"
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}
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}
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} |