leetcode-problemset/leetcode/originData/[no content]election-results.json

{
    "data": {
        "question": {
            "questionId": "3078",
            "questionFrontendId": "2820",
            "boundTopicId": null,
            "title": "Election Results",
            "titleSlug": "election-results",
            "content": null,
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": true,
            "difficulty": "Medium",
            "likes": 14,
            "dislikes": 3,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\":{\"Votes\":[\"voter\",\"candidate\"]},\"rows\":{\"Votes\":[[\"Kathy\",null],[\"Charles\",\"Ryan\"],[\"Charles\",\"Christine\"],[\"Charles\",\"Kathy\"],[\"Benjamin\",\"Christine\"],[\"Anthony\",\"Ryan\"],[\"Edward\",\"Ryan\"],[\"Terry\",null],[\"Evelyn\",\"Kathy\"],[\"Arthur\",\"Christine\"]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [],
            "companyTagStats": null,
            "codeSnippets": null,
            "stats": "{\"totalAccepted\": \"815\", \"totalSubmission\": \"1.2K\", \"totalAcceptedRaw\": 815, \"totalSubmissionRaw\": 1248, \"acRate\": \"65.3%\"}",
            "hints": [],
            "solution": null,
            "status": null,
            "sampleTestCase": "{\"headers\":{\"Votes\":[\"voter\",\"candidate\"]},\"rows\":{\"Votes\":[[\"Kathy\",null],[\"Charles\",\"Ryan\"],[\"Charles\",\"Christine\"],[\"Charles\",\"Kathy\"],[\"Benjamin\",\"Christine\"],[\"Anthony\",\"Ryan\"],[\"Edward\",\"Ryan\"],[\"Terry\",null],[\"Evelyn\",\"Kathy\"],[\"Arthur\",\"Christine\"]]}}",
            "metaData": "{\"mysql\": [\"Create table if not exists Votes(voter varchar(30), candidate varchar(30))\"], \"mssql\": [\"Create table Votes(voter varchar(30),candidate varchar(30))\"], \"oraclesql\": [\"Create table Votes(voter varchar(30),candidate varchar(30))\"], \"database\": true, \"name\": \"get_election_results\", \"pythondata\": [\"Votes = pd.DataFrame([], columns=['voter', 'candidate']).astype({'voter':'object', 'candidate':'object'})\"], \"postgresql\": [\"Create table if not exists Votes(voter varchar(30), candidate varchar(30))\"], \"database_schema\": {\"Votes\": {\"voter\": \"VARCHAR(30)\", \"candidate\": \"VARCHAR(30)\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table if not exists Votes(voter varchar(30), candidate varchar(30))",
                "Truncate table Votes",
                "insert into Votes (voter, candidate) values ('Kathy', 'None')",
                "insert into Votes (voter, candidate) values ('Charles', 'Ryan')",
                "insert into Votes (voter, candidate) values ('Charles', 'Christine')",
                "insert into Votes (voter, candidate) values ('Charles', 'Kathy')",
                "insert into Votes (voter, candidate) values ('Benjamin', 'Christine')",
                "insert into Votes (voter, candidate) values ('Anthony', 'Ryan')",
                "insert into Votes (voter, candidate) values ('Edward', 'Ryan')",
                "insert into Votes (voter, candidate) values ('Terry', 'None')",
                "insert into Votes (voter, candidate) values ('Evelyn', 'Kathy')",
                "insert into Votes (voter, candidate) values ('Arthur', 'Christine')"
            ],
            "enableRunCode": true,
            "enableTestMode": false,
            "enableDebugger": false,
            "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>\"]}",
            "libraryUrl": null,
            "adminUrl": null,
            "challengeQuestion": null,
            "__typename": "QuestionNode"
        }
    }
}