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": "Hard",
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"likes": 98,
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"dislikes": 34,
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"likes": 148,
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"dislikes": 37,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\": {\"Orders\": [\"order_id\", \"customer_id\", \"order_date\", \"item_id\", \"quantity\"], \"Items\": [\"item_id\", \"item_name\", \"item_category\"]}, \"rows\": {\"Orders\": [[1, 1, \"2020-06-01\", 1, 10], [2, 1, \"2020-06-08\", 2, 10], [3, 2, \"2020-06-02\", 1, 5], [4, 3, \"2020-06-03\", 3, 5], [5, 4, \"2020-06-04\", 4, 1], [6, 4, \"2020-06-05\", 5, 5], [7, 5, \"2020-06-05\", 1, 10], [8, 5, \"2020-06-14\", 4, 5], [9, 5, \"2020-06-21\", 3, 5]], \"Items\": [[1, \"LC Alg. Book\", \"Book\"], [2, \"LC DB. Book\", \"Book\"], [3, \"LC SmarthPhone\", \"Phone\"], [4, \"LC Phone 2020\", \"Phone\"], [5, \"LC SmartGlass\", \"Glasses\"], [6, \"LC T-Shirt XL\", \"T-shirt\"]]}}",
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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\": \"12.5K\", \"totalSubmission\": \"15.2K\", \"totalAcceptedRaw\": 12525, \"totalSubmissionRaw\": 15211, \"acRate\": \"82.3%\"}",
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"stats": "{\"totalAccepted\": \"16.5K\", \"totalSubmission\": \"21.1K\", \"totalAcceptedRaw\": 16545, \"totalSubmissionRaw\": 21052, \"acRate\": \"78.6%\"}",
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"hints": [],
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"solution": null,
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"solution": {
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"id": "2212",
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"canSeeDetail": true,
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"paidOnly": false,
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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\": {\"Orders\": [\"order_id\", \"customer_id\", \"order_date\", \"item_id\", \"quantity\"], \"Items\": [\"item_id\", \"item_name\", \"item_category\"]}, \"rows\": {\"Orders\": [[1, 1, \"2020-06-01\", 1, 10], [2, 1, \"2020-06-08\", 2, 10], [3, 2, \"2020-06-02\", 1, 5], [4, 3, \"2020-06-03\", 3, 5], [5, 4, \"2020-06-04\", 4, 1], [6, 4, \"2020-06-05\", 5, 5], [7, 5, \"2020-06-05\", 1, 10], [8, 5, \"2020-06-14\", 4, 5], [9, 5, \"2020-06-21\", 3, 5]], \"Items\": [[1, \"LC Alg. Book\", \"Book\"], [2, \"LC DB. Book\", \"Book\"], [3, \"LC SmarthPhone\", \"Phone\"], [4, \"LC Phone 2020\", \"Phone\"], [5, \"LC SmartGlass\", \"Glasses\"], [6, \"LC T-Shirt XL\", \"T-shirt\"]]}}",
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"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Orders (order_id int, customer_id int, order_date date, item_id varchar(30), quantity int)\",\n \"Create table If Not Exists Items (item_id varchar(30), item_name varchar(30), item_category varchar(30))\"\n ],\n \"mssql\": [\n \"Create table Orders (order_id int, customer_id int, order_date date, item_id varchar(30), quantity int)\",\n \"Create table Items (item_id varchar(30), item_name varchar(30), item_category varchar(30))\"\n ],\n \"oraclesql\": [\n \"Create table Orders (order_id int, customer_id int, order_date date, item_id varchar(30), quantity int)\",\n \"Create table Items (item_id varchar(30), item_name varchar(30), item_category varchar(30))\",\n \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"\n ],\n \"database\": true\n}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Orders (order_id int, customer_id int, order_date date, item_id varchar(30), quantity int)\", \"Create table If Not Exists Items (item_id varchar(30), item_name varchar(30), item_category varchar(30))\"], \"mssql\": [\"Create table Orders (order_id int, customer_id int, order_date date, item_id varchar(30), quantity int)\", \"Create table Items (item_id varchar(30), item_name varchar(30), item_category varchar(30))\"], \"oraclesql\": [\"Create table Orders (order_id int, customer_id int, order_date date, item_id varchar(30), quantity int)\", \"Create table Items (item_id varchar(30), item_name varchar(30), item_category varchar(30))\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"sales_by_day\", \"pythondata\": [\"Orders = pd.DataFrame([], columns=['order_id', 'customer_id', 'order_date', 'item_id', 'quantity']).astype({'order_id':'Int64', 'customer_id':'Int64', 'order_date':'datetime64[ns]', 'item_id':'object', 'quantity':'Int64'})\", \"Items = pd.DataFrame([], columns=['item_id', 'item_name', 'item_category']).astype({'item_id':'object', 'item_name':'object', 'item_category':'object'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Orders (order_id int, customer_id int, order_date date, item_id varchar(30), quantity int)\", \"Create table If Not Exists Items (item_id varchar(30), item_name varchar(30), item_category varchar(30))\"], \"database_schema\": {\"Orders\": {\"order_id\": \"INT\", \"customer_id\": \"INT\", \"order_date\": \"DATE\", \"item_id\": \"VARCHAR(30)\", \"quantity\": \"INT\"}, \"Items\": {\"item_id\": \"VARCHAR(30)\", \"item_name\": \"VARCHAR(30)\", \"item_category\": \"VARCHAR(30)\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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@@ -60,7 +67,7 @@
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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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