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https://gitee.com/coder-xiaomo/leetcode-problemset
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68 lines
4.8 KiB
JSON
68 lines
4.8 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1578",
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"questionFrontendId": "1445",
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"boundTopicId": null,
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"title": "Apples & Oranges",
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"titleSlug": "apples-oranges",
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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": 232,
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"dislikes": 22,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Sales\":[\"sale_date\",\"fruit\",\"sold_num\"]},\"rows\":{\"Sales\":[[\"2020-05-01\",\"apples\",10],[\"2020-05-01\",\"oranges\",8],[\"2020-05-02\",\"apples\",15],[\"2020-05-02\",\"oranges\",15],[\"2020-05-03\",\"apples\",20],[\"2020-05-03\",\"oranges\",0],[\"2020-05-04\",\"apples\",15],[\"2020-05-04\",\"oranges\",16]]}}",
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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\": \"47.9K\", \"totalSubmission\": \"54.2K\", \"totalAcceptedRaw\": 47872, \"totalSubmissionRaw\": 54233, \"acRate\": \"88.3%\"}",
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"hints": [],
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"solution": {
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"id": "1959",
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"canSeeDetail": false,
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"paidOnly": true,
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"hasVideoSolution": false,
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"paidOnlyVideo": true,
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"__typename": "ArticleNode"
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},
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Sales\":[\"sale_date\",\"fruit\",\"sold_num\"]},\"rows\":{\"Sales\":[[\"2020-05-01\",\"apples\",10],[\"2020-05-01\",\"oranges\",8],[\"2020-05-02\",\"apples\",15],[\"2020-05-02\",\"oranges\",15],[\"2020-05-03\",\"apples\",20],[\"2020-05-03\",\"oranges\",0],[\"2020-05-04\",\"apples\",15],[\"2020-05-04\",\"oranges\",16]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Sales (sale_date date, fruit ENUM('apples', 'oranges'), sold_num int)\"], \"mssql\": [\"Create Table Sales (sale_date date, fruit varchar(10) NOT NULL CHECK (fruit IN ('apples', 'oranges')), sold_num int)\"], \"oraclesql\": [\"Create Table Sales (sale_date date, fruit varchar(10) NOT NULL CHECK (fruit IN ('apples', 'oranges')), sold_num int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"apples_oranges\", \"pythondata\": [\"Sales = pd.DataFrame([], columns=['sale_date', 'fruit', 'sold_num']).astype({'sale_date':'datetime64[ns]', 'fruit':'object', 'sold_num':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Sales (sale_date date, fruit VARCHAR(30) CHECK (fruit IN ('apples', 'oranges')), sold_num int)\\n\"], \"database_schema\": {\"Sales\": {\"sale_date\": \"DATE\", \"fruit\": \"ENUM('apples', 'oranges')\", \"sold_num\": \"INT\"}}}",
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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 Sales (sale_date date, fruit ENUM('apples', 'oranges'), sold_num int)",
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"Truncate table Sales",
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"insert into Sales (sale_date, fruit, sold_num) values ('2020-05-01', 'apples', '10')",
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"insert into Sales (sale_date, fruit, sold_num) values ('2020-05-01', 'oranges', '8')",
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"insert into Sales (sale_date, fruit, sold_num) values ('2020-05-02', 'apples', '15')",
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"insert into Sales (sale_date, fruit, sold_num) values ('2020-05-02', 'oranges', '15')",
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"insert into Sales (sale_date, fruit, sold_num) values ('2020-05-03', 'apples', '20')",
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"insert into Sales (sale_date, fruit, sold_num) values ('2020-05-03', 'oranges', '0')",
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"insert into Sales (sale_date, fruit, sold_num) values ('2020-05-04', 'apples', '15')",
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"insert into Sales (sale_date, fruit, sold_num) values ('2020-05-04', 'oranges', '16')"
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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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} |