mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
synced 2025-09-07 00:11:41 +08:00
存量题库数据更新
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@@ -11,8 +11,8 @@
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Medium",
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"likes": 73,
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"dislikes": 5,
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"likes": 172,
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"dislikes": 13,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"LogInfo\":[\"account_id\",\"ip_address\",\"login\",\"logout\"]},\"rows\":{\"LogInfo\":[[1,1,\"2021-02-01 09:00:00\",\"2021-02-01 09:30:00\"],[1,2,\"2021-02-01 08:00:00\",\"2021-02-01 11:30:00\"],[2,6,\"2021-02-01 20:30:00\",\"2021-02-01 22:00:00\"],[2,7,\"2021-02-02 20:30:00\",\"2021-02-02 22:00:00\"],[3,9,\"2021-02-01 16:00:00\",\"2021-02-01 16:59:59\"],[3,13,\"2021-02-01 17:00:00\",\"2021-02-01 17:59:59\"],[4,10,\"2021-02-01 16:00:00\",\"2021-02-01 17:00:00\"],[4,11,\"2021-02-01 17:00:00\",\"2021-02-01 17:59:59\"]]}}",
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@@ -28,12 +28,19 @@
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],
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"companyTagStats": null,
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"codeSnippets": null,
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"stats": "{\"totalAccepted\": \"7.8K\", \"totalSubmission\": \"11.5K\", \"totalAcceptedRaw\": 7752, \"totalSubmissionRaw\": 11505, \"acRate\": \"67.4%\"}",
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"stats": "{\"totalAccepted\": \"18.2K\", \"totalSubmission\": \"27.8K\", \"totalAcceptedRaw\": 18244, \"totalSubmissionRaw\": 27776, \"acRate\": \"65.7%\"}",
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"hints": [],
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"solution": null,
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"solution": {
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"id": "2082",
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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\":{\"LogInfo\":[\"account_id\",\"ip_address\",\"login\",\"logout\"]},\"rows\":{\"LogInfo\":[[1,1,\"2021-02-01 09:00:00\",\"2021-02-01 09:30:00\"],[1,2,\"2021-02-01 08:00:00\",\"2021-02-01 11:30:00\"],[2,6,\"2021-02-01 20:30:00\",\"2021-02-01 22:00:00\"],[2,7,\"2021-02-02 20:30:00\",\"2021-02-02 22:00:00\"],[3,9,\"2021-02-01 16:00:00\",\"2021-02-01 16:59:59\"],[3,13,\"2021-02-01 17:00:00\",\"2021-02-01 17:59:59\"],[4,10,\"2021-02-01 16:00:00\",\"2021-02-01 17:00:00\"],[4,11,\"2021-02-01 17:00:00\",\"2021-02-01 17:59:59\"]]}}",
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"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists LogInfo (account_id int, ip_address int, login datetime, logout datetime)\"\n ],\n \"mssql\": [\n \"Create table LogInfo (account_id int, ip_address int, login datetime, logout datetime)\"\n ],\n \"oraclesql\": [\n \"Create table LogInfo (account_id int, ip_address int, login date, logout date)\",\n \"ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'\"\n ],\n \"database\": true,\n \"manual\": false\n}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists LogInfo (account_id int, ip_address int, login datetime, logout datetime)\"], \"mssql\": [\"Create table LogInfo (account_id int, ip_address int, login datetime, logout datetime)\"], \"oraclesql\": [\"Create table LogInfo (account_id int, ip_address int, login date, logout date)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'\"], \"database\": true, \"manual\": true, \"name\": \"leetflex_banned_accnts\", \"pythondata\": [\"LogInfo = pd.DataFrame([], columns=['account_id', 'ip_address', 'login', 'logout']).astype({'account_id':'Int64', 'ip_address':'Int64', 'login':'datetime64[ns]', 'logout':'datetime64[ns]'})\"], \"postgresql\": [\"Create table If Not Exists LogInfo (account_id int, ip_address int, login timestamp, logout timestamp)\\n\"], \"database_schema\": {\"LogInfo\": {\"account_id\": \"INT\", \"ip_address\": \"INT\", \"login\": \"DATETIME\", \"logout\": \"DATETIME\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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@@ -51,7 +58,7 @@
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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>\"]}",
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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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