mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
synced 2025-01-10 18:48:13 +08:00
存量数据更新
This commit is contained in:
parent
c198538f10
commit
c9b1bf36a8
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@ -11,8 +11,8 @@
|
||||
"translatedContent": null,
|
||||
"isPaidOnly": true,
|
||||
"difficulty": "Medium",
|
||||
"likes": 182,
|
||||
"dislikes": 20,
|
||||
"likes": 263,
|
||||
"dislikes": 28,
|
||||
"isLiked": null,
|
||||
"similarQuestions": "[]",
|
||||
"exampleTestcases": "{\"headers\":{\"Events\":[\"business_id\",\"event_type\",\"occurences\"]},\"rows\":{\"Events\":[[1,\"reviews\",7],[3,\"reviews\",3],[1,\"ads\",11],[2,\"ads\",7],[3,\"ads\",6],[1,\"page views\",3],[2,\"page views\",12]]}}",
|
||||
@ -28,12 +28,12 @@
|
||||
],
|
||||
"companyTagStats": null,
|
||||
"codeSnippets": null,
|
||||
"stats": "{\"totalAccepted\": \"29.6K\", \"totalSubmission\": \"43.7K\", \"totalAcceptedRaw\": 29587, \"totalSubmissionRaw\": 43670, \"acRate\": \"67.8%\"}",
|
||||
"stats": "{\"totalAccepted\": \"42.3K\", \"totalSubmission\": \"64.3K\", \"totalAcceptedRaw\": 42277, \"totalSubmissionRaw\": 64259, \"acRate\": \"65.8%\"}",
|
||||
"hints": [],
|
||||
"solution": null,
|
||||
"status": null,
|
||||
"sampleTestCase": "{\"headers\":{\"Events\":[\"business_id\",\"event_type\",\"occurences\"]},\"rows\":{\"Events\":[[1,\"reviews\",7],[3,\"reviews\",3],[1,\"ads\",11],[2,\"ads\",7],[3,\"ads\",6],[1,\"page views\",3],[2,\"page views\",12]]}}",
|
||||
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Events (business_id int, event_type varchar(10), occurences int)\"\n ],\n \"mssql\": [\n \"Create table Events (business_id int, event_type varchar(10), occurences int)\"\n ],\n \"oraclesql\": [\n \"Create table Events (business_id int, event_type varchar(10), occurences int)\"\n ],\n \"database\": true\n}",
|
||||
"metaData": "{\"mysql\": [\"Create table If Not Exists Events (business_id int, event_type varchar(10), occurences int)\"], \"mssql\": [\"Create table Events (business_id int, event_type varchar(10), occurences int)\"], \"oraclesql\": [\"Create table Events (business_id int, event_type varchar(10), occurences int)\"], \"database\": true, \"name\": \"active_businesses\", \"pythondata\": [\"Events = pd.DataFrame([], columns=['business_id', 'event_type', 'occurences']).astype({'business_id':'Int64', 'event_type':'object', 'occurences':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Events (business_id int, event_type varchar(10), occurences int)\"], \"database_schema\": {\"Events\": {\"business_id\": \"INT\", \"event_type\": \"VARCHAR(10)\", \"occurences\": \"INT\"}}}",
|
||||
"judgerAvailable": true,
|
||||
"judgeType": "large",
|
||||
"mysqlSchemas": [
|
||||
@ -50,7 +50,7 @@
|
||||
"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>\"]}",
|
||||
"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,
|
||||
|
||||
@ -11,8 +11,8 @@
|
||||
"translatedContent": null,
|
||||
"isPaidOnly": true,
|
||||
"difficulty": "Medium",
|
||||
"likes": 281,
|
||||
"dislikes": 28,
|
||||
"likes": 389,
|
||||
"dislikes": 38,
|
||||
"isLiked": null,
|
||||
"similarQuestions": "[]",
|
||||
"exampleTestcases": "{\"headers\":{\"Accounts\":[\"id\",\"name\"],\"Logins\":[\"id\",\"login_date\"]},\"rows\":{\"Accounts\":[[1,\"Winston\"],[7,\"Jonathan\"]],\"Logins\":[[7,\"2020-05-30\"],[1,\"2020-05-30\"],[7,\"2020-05-31\"],[7,\"2020-06-01\"],[7,\"2020-06-02\"],[7,\"2020-06-02\"],[7,\"2020-06-03\"],[1,\"2020-06-07\"],[7,\"2020-06-10\"]]}}",
|
||||
@ -28,12 +28,12 @@
|
||||
],
|
||||
"companyTagStats": null,
|
||||
"codeSnippets": null,
|
||||
"stats": "{\"totalAccepted\": \"22.7K\", \"totalSubmission\": \"59.1K\", \"totalAcceptedRaw\": 22651, \"totalSubmissionRaw\": 59060, \"acRate\": \"38.4%\"}",
|
||||
"stats": "{\"totalAccepted\": \"34.9K\", \"totalSubmission\": \"94.3K\", \"totalAcceptedRaw\": 34870, \"totalSubmissionRaw\": 94324, \"acRate\": \"37.0%\"}",
|
||||
"hints": [],
|
||||
"solution": null,
|
||||
"status": null,
|
||||
"sampleTestCase": "{\"headers\":{\"Accounts\":[\"id\",\"name\"],\"Logins\":[\"id\",\"login_date\"]},\"rows\":{\"Accounts\":[[1,\"Winston\"],[7,\"Jonathan\"]],\"Logins\":[[7,\"2020-05-30\"],[1,\"2020-05-30\"],[7,\"2020-05-31\"],[7,\"2020-06-01\"],[7,\"2020-06-02\"],[7,\"2020-06-02\"],[7,\"2020-06-03\"],[1,\"2020-06-07\"],[7,\"2020-06-10\"]]}}",
|
||||
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Accounts (id int, name varchar(10))\",\n \"Create table If Not Exists Logins (id int, login_date date)\"\n ],\n \"mssql\": [\n \"Create table Accounts (id int, name varchar(10))\",\n \"Create table Logins (id int, login_date date)\"\n ],\n \"oraclesql\": [\n \"Create table Accounts (id int, name varchar(10))\",\n \"Create table Logins (id int, login_date date)\",\n \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"\n ],\n \"database\": true\n}",
|
||||
"metaData": "{\"mysql\": [\"Create table If Not Exists Accounts (id int, name varchar(10))\", \"Create table If Not Exists Logins (id int, login_date date)\"], \"mssql\": [\"Create table Accounts (id int, name varchar(10))\", \"Create table Logins (id int, login_date date)\"], \"oraclesql\": [\"Create table Accounts (id int, name varchar(10))\", \"Create table Logins (id int, login_date date)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"active_users\", \"pythondata\": [\"Accounts = pd.DataFrame([], columns=['id', 'name']).astype({'id':'Int64', 'name':'object'})\", \"Logins = pd.DataFrame([], columns=['id', 'login_date']).astype({'id':'Int64', 'login_date':'datetime64[ns]'})\"], \"postgresql\": [\"Create table If Not Exists Accounts (id int, name varchar(10))\", \"Create table If Not Exists Logins (id int, login_date date)\"], \"database_schema\": {\"Accounts\": {\"id\": \"INT\", \"name\": \"VARCHAR(10)\"}, \"Logins\": {\"id\": \"INT\", \"login_date\": \"DATE\"}}}",
|
||||
"judgerAvailable": true,
|
||||
"judgeType": "large",
|
||||
"mysqlSchemas": [
|
||||
@ -56,7 +56,7 @@
|
||||
"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>\"]}",
|
||||
"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,
|
||||
|
||||
@ -11,8 +11,8 @@
|
||||
"translatedContent": null,
|
||||
"isPaidOnly": true,
|
||||
"difficulty": "Medium",
|
||||
"likes": 96,
|
||||
"dislikes": 34,
|
||||
"likes": 139,
|
||||
"dislikes": 48,
|
||||
"isLiked": null,
|
||||
"similarQuestions": "[]",
|
||||
"exampleTestcases": "{\"headers\": {\"Friends\": [\"id\", \"name\", \"activity\"], \"Activities\": [\"id\", \"name\"]}, \"rows\": {\"Friends\": [[1, \"Jonathan D.\", \"Eating\"], [2, \"Jade W.\", \"Singing\"], [3, \"Victor J.\", \"Singing\"], [4, \"Elvis Q.\", \"Eating\"], [5, \"Daniel A.\", \"Eating\"], [6, \"Bob B.\", \"Horse Riding\"]], \"Activities\": [[1, \"Eating\"], [2, \"Singing\"], [3, \"Horse Riding\"]]}}",
|
||||
@ -28,12 +28,19 @@
|
||||
],
|
||||
"companyTagStats": null,
|
||||
"codeSnippets": null,
|
||||
"stats": "{\"totalAccepted\": \"20.6K\", \"totalSubmission\": \"27.6K\", \"totalAcceptedRaw\": 20607, \"totalSubmissionRaw\": 27629, \"acRate\": \"74.6%\"}",
|
||||
"stats": "{\"totalAccepted\": \"27.3K\", \"totalSubmission\": \"37.6K\", \"totalAcceptedRaw\": 27347, \"totalSubmissionRaw\": 37618, \"acRate\": \"72.7%\"}",
|
||||
"hints": [],
|
||||
"solution": null,
|
||||
"solution": {
|
||||
"id": "2179",
|
||||
"canSeeDetail": true,
|
||||
"paidOnly": false,
|
||||
"hasVideoSolution": false,
|
||||
"paidOnlyVideo": true,
|
||||
"__typename": "ArticleNode"
|
||||
},
|
||||
"status": null,
|
||||
"sampleTestCase": "{\"headers\": {\"Friends\": [\"id\", \"name\", \"activity\"], \"Activities\": [\"id\", \"name\"]}, \"rows\": {\"Friends\": [[1, \"Jonathan D.\", \"Eating\"], [2, \"Jade W.\", \"Singing\"], [3, \"Victor J.\", \"Singing\"], [4, \"Elvis Q.\", \"Eating\"], [5, \"Daniel A.\", \"Eating\"], [6, \"Bob B.\", \"Horse Riding\"]], \"Activities\": [[1, \"Eating\"], [2, \"Singing\"], [3, \"Horse Riding\"]]}}",
|
||||
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Friends (id int, name varchar(30), activity varchar(30))\",\n \"Create table If Not Exists Activities (id int, name varchar(30))\"\n ],\n \"mssql\": [\n \"Create table Friends (id int, name varchar(30), activity varchar(30))\",\n \"Create table Activities (id int, name varchar(30))\"\n ],\n \"oraclesql\": [\n \"Create table Friends (id int, name varchar(30), activity varchar(30))\",\n \"Create table Activities (id int, name varchar(30))\"\n ],\n \"database\": true\n}",
|
||||
"metaData": "{\"mysql\": [\"Create table If Not Exists Friends (id int, name varchar(30), activity varchar(30))\", \"Create table If Not Exists Activities (id int, name varchar(30))\"], \"mssql\": [\"Create table Friends (id int, name varchar(30), activity varchar(30))\", \"Create table Activities (id int, name varchar(30))\"], \"oraclesql\": [\"Create table Friends (id int, name varchar(30), activity varchar(30))\", \"Create table Activities (id int, name varchar(30))\"], \"database\": true, \"name\": \"activity_participants\", \"pythondata\": [\"Friends = pd.DataFrame([], columns=['id', 'name', 'activity']).astype({'id':'Int64', 'name':'object', 'activity':'object'})\", \"Activities = pd.DataFrame([], columns=['id', 'name']).astype({'id':'Int64', 'name':'object'})\"], \"postgresql\": [\"Create table If Not Exists Friends (id int, name varchar(30), activity varchar(30))\", \"Create table If Not Exists Activities (id int, name varchar(30))\"], \"database_schema\": {\"Friends\": {\"id\": \"INT\", \"name\": \"VARCHAR(30)\", \"activity\": \"VARCHAR(30)\"}, \"Activities\": {\"id\": \"INT\", \"name\": \"VARCHAR(30)\"}}}",
|
||||
"judgerAvailable": true,
|
||||
"judgeType": "large",
|
||||
"mysqlSchemas": [
|
||||
@ -54,7 +61,7 @@
|
||||
"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>\"]}",
|
||||
"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,
|
||||
|
||||
@ -11,8 +11,8 @@
|
||||
"translatedContent": null,
|
||||
"isPaidOnly": true,
|
||||
"difficulty": "Easy",
|
||||
"likes": 49,
|
||||
"dislikes": 31,
|
||||
"likes": 82,
|
||||
"dislikes": 56,
|
||||
"isLiked": null,
|
||||
"similarQuestions": "[]",
|
||||
"exampleTestcases": "{\"headers\":{\"Playback\":[\"session_id\",\"customer_id\",\"start_time\",\"end_time\"],\"Ads\":[\"ad_id\",\"customer_id\",\"timestamp\"]},\"rows\":{\"Playback\":[[1,1,1,5],[2,1,15,23],[3,2,10,12],[4,2,17,28],[5,2,2,8]],\"Ads\":[[1,1,5],[2,2,17],[3,2,20]]}}",
|
||||
@ -28,12 +28,12 @@
|
||||
],
|
||||
"companyTagStats": null,
|
||||
"codeSnippets": null,
|
||||
"stats": "{\"totalAccepted\": \"8.8K\", \"totalSubmission\": \"14.7K\", \"totalAcceptedRaw\": 8774, \"totalSubmissionRaw\": 14661, \"acRate\": \"59.8%\"}",
|
||||
"stats": "{\"totalAccepted\": \"14.3K\", \"totalSubmission\": \"24.6K\", \"totalAcceptedRaw\": 14323, \"totalSubmissionRaw\": 24555, \"acRate\": \"58.3%\"}",
|
||||
"hints": [],
|
||||
"solution": null,
|
||||
"status": null,
|
||||
"sampleTestCase": "{\"headers\":{\"Playback\":[\"session_id\",\"customer_id\",\"start_time\",\"end_time\"],\"Ads\":[\"ad_id\",\"customer_id\",\"timestamp\"]},\"rows\":{\"Playback\":[[1,1,1,5],[2,1,15,23],[3,2,10,12],[4,2,17,28],[5,2,2,8]],\"Ads\":[[1,1,5],[2,2,17],[3,2,20]]}}",
|
||||
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Playback(session_id int,customer_id int,start_time int,end_time int)\",\n \"Create table If Not Exists Ads (ad_id int, customer_id int, timestamp int)\"\n ],\n \"mssql\": [\n \"Create table Playback(session_id int,customer_id int,start_time int,end_time int)\",\n \"Create table Ads (ad_id int, customer_id int, timestamp int)\"\n ],\n \"oraclesql\": [\n \"Create table Playback(session_id int,customer_id int,start_time int,end_time int)\",\n \"Create table Ads (ad_id int, customer_id int, timestamp int)\"\n ],\n \"database\": true\n}",
|
||||
"metaData": "{\"mysql\": [\"Create table If Not Exists Playback(session_id int,customer_id int,start_time int,end_time int)\", \"Create table If Not Exists Ads (ad_id int, customer_id int, timestamp int)\"], \"mssql\": [\"Create table Playback(session_id int,customer_id int,start_time int,end_time int)\", \"Create table Ads (ad_id int, customer_id int, timestamp int)\"], \"oraclesql\": [\"Create table Playback(session_id int,customer_id int,start_time int,end_time int)\", \"Create table Ads (ad_id int, customer_id int, timestamp int)\"], \"database\": true, \"name\": \"ad_free_sessions\", \"pythondata\": [\"Playback = pd.DataFrame([], columns=['session_id', 'customer_id', 'start_time', 'end_time']).astype({'session_id':'Int64', 'customer_id':'Int64', 'start_time':'Int64', 'end_time':'Int64'})\", \"Ads = pd.DataFrame([], columns=['ad_id', 'customer_id', 'timestamp']).astype({'ad_id':'Int64', 'customer_id':'Int64', 'timestamp':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Playback(session_id int,customer_id int,start_time int,end_time int)\\n\", \"Create table If Not Exists Ads (ad_id int, customer_id int, timestamp int)\"], \"database_schema\": {\"Playback\": {\"session_id\": \"INT\", \"customer_id\": \"INT\", \"start_time\": \"INT\", \"end_time\": \"INT\"}, \"Ads\": {\"ad_id\": \"INT\", \"customer_id\": \"INT\", \"timestamp\": \"INT\"}}}",
|
||||
"judgerAvailable": true,
|
||||
"judgeType": "large",
|
||||
"mysqlSchemas": [
|
||||
@ -53,7 +53,7 @@
|
||||
"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>\"]}",
|
||||
"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,
|
||||
|
||||
File diff suppressed because one or more lines are too long
@ -11,8 +11,8 @@
|
||||
"translatedContent": null,
|
||||
"isPaidOnly": true,
|
||||
"difficulty": "Medium",
|
||||
"likes": 87,
|
||||
"dislikes": 5,
|
||||
"likes": 137,
|
||||
"dislikes": 11,
|
||||
"isLiked": null,
|
||||
"similarQuestions": "[{\"title\": \"Add Two Numbers\", \"titleSlug\": \"add-two-numbers\", \"difficulty\": \"Medium\", \"translatedTitle\": null}, {\"title\": \"Merge Two Sorted Lists\", \"titleSlug\": \"merge-two-sorted-lists\", \"difficulty\": \"Easy\", \"translatedTitle\": null}, {\"title\": \"Add Two Numbers II\", \"titleSlug\": \"add-two-numbers-ii\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]",
|
||||
"exampleTestcases": "[[1,1]]\n[[1,0]]\n[[2,2],[4,1],[3,0]]\n[[3,2],[-4,1],[-1,0]]\n[[1,2]]\n[[-1,2]]",
|
||||
@ -40,7 +40,7 @@
|
||||
],
|
||||
"companyTagStats": null,
|
||||
"codeSnippets": null,
|
||||
"stats": "{\"totalAccepted\": \"5.5K\", \"totalSubmission\": \"10.2K\", \"totalAcceptedRaw\": 5490, \"totalSubmissionRaw\": 10219, \"acRate\": \"53.7%\"}",
|
||||
"stats": "{\"totalAccepted\": \"9.6K\", \"totalSubmission\": \"17.4K\", \"totalAcceptedRaw\": 9587, \"totalSubmissionRaw\": 17408, \"acRate\": \"55.1%\"}",
|
||||
"hints": [
|
||||
"Process both linked lists at the same time",
|
||||
"If the current power of the two heads is equal, add this power with the sum of the coefficients to the answer list.",
|
||||
@ -56,7 +56,7 @@
|
||||
"enableRunCode": true,
|
||||
"enableTestMode": false,
|
||||
"enableDebugger": true,
|
||||
"envInfo": "{\"cpp\": [\"C++\", \"<p>Compiled with <code> clang 11 </code> using the latest C++ 17 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level two optimization (<code>-O2</code>). <a href=\\\"https://github.com/google/sanitizers/wiki/AddressSanitizer\\\" target=\\\"_blank\\\">AddressSanitizer</a> is also enabled to help detect out-of-bounds and use-after-free bugs.</p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\"], \"java\": [\"Java\", \"<p><code> OpenJDK 17 </code>. Java 8 features such as lambda expressions and stream API can be used. </p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\\r\\n<p>Includes <code>Pair</code> class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.</p>\"], \"python\": [\"Python\", \"<p><code>Python 2.7.12</code>.</p>\\r\\n\\r\\n<p>Most libraries are already imported automatically for your convenience, such as <a href=\\\"https://docs.python.org/2/library/array.html\\\" target=\\\"_blank\\\">array</a>, <a href=\\\"https://docs.python.org/2/library/bisect.html\\\" target=\\\"_blank\\\">bisect</a>, <a href=\\\"https://docs.python.org/2/library/collections.html\\\" target=\\\"_blank\\\">collections</a>. If you need more libraries, you can import it yourself.</p>\\r\\n\\r\\n<p>For Map/TreeMap data structure, you may use <a href=\\\"http://www.grantjenks.com/docs/sortedcontainers/\\\" target=\\\"_blank\\\">sortedcontainers</a> library.</p>\\r\\n\\r\\n<p>Note that Python 2.7 <a href=\\\"https://www.python.org/dev/peps/pep-0373/\\\" target=\\\"_blank\\\">will not be maintained past 2020</a>. For the latest Python, please choose Python3 instead.</p>\"], \"csharp\": [\"C#\", \"<p><a href=\\\"https://docs.microsoft.com/en-us/dotnet/csharp/whats-new/csharp-9\\\" target=\\\"_blank\\\">C# 10 with .NET 6 runtime</a></p>\\r\\n\\r\\n<p>Your code is compiled with debug flag enabled (<code>/debug</code>).</p>\"], \"javascript\": [\"JavaScript\", \"<p><code>Node.js 16.13.2</code>.</p>\\r\\n\\r\\n<p>Your code is run with <code>--harmony</code> flag, enabling <a href=\\\"http://node.green/\\\" target=\\\"_blank\\\">new ES6 features</a>.</p>\\r\\n\\r\\n<p><a href=\\\"https://lodash.com\\\" target=\\\"_blank\\\">lodash.js</a> library is included by default.</p>\\r\\n\\r\\n<p>For Priority Queue / Queue data structures, you may use <a href=\\\"https://github.com/datastructures-js/priority-queue\\\" target=\\\"_blank\\\">datastructures-js/priority-queue</a> and <a href=\\\"https://github.com/datastructures-js/queue\\\" target=\\\"_blank\\\">datastructures-js/queue</a>.</p>\"], \"python3\": [\"Python3\", \"<p><code>Python 3.10</code>.</p>\\r\\n\\r\\n<p>Most libraries are already imported automatically for your convenience, such as <a href=\\\"https://docs.python.org/3/library/array.html\\\" target=\\\"_blank\\\">array</a>, <a href=\\\"https://docs.python.org/3/library/bisect.html\\\" target=\\\"_blank\\\">bisect</a>, <a href=\\\"https://docs.python.org/3/library/collections.html\\\" target=\\\"_blank\\\">collections</a>. If you need more libraries, you can import it yourself.</p>\\r\\n\\r\\n<p>For Map/TreeMap data structure, you may use <a href=\\\"http://www.grantjenks.com/docs/sortedcontainers/\\\" target=\\\"_blank\\\">sortedcontainers</a> library.</p>\"]}",
|
||||
"envInfo": "{\"cpp\": [\"C++\", \"<p>Compiled with <code> clang 11 </code> using the latest C++ 20 standard.</p>\\r\\n\\r\\n<p>Your code is compiled with level two optimization (<code>-O2</code>). <a href=\\\"https://github.com/google/sanitizers/wiki/AddressSanitizer\\\" target=\\\"_blank\\\">AddressSanitizer</a> is also enabled to help detect out-of-bounds and use-after-free bugs.</p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\"], \"java\": [\"Java\", \"<p><code>OpenJDK 17</code>. Java 8 features such as lambda expressions and stream API can be used. </p>\\r\\n\\r\\n<p>Most standard library headers are already included automatically for your convenience.</p>\\r\\n<p>Includes <code>Pair</code> class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.</p>\"], \"python\": [\"Python\", \"<p><code>Python 2.7.12</code>.</p>\\r\\n\\r\\n<p>Most libraries are already imported automatically for your convenience, such as <a href=\\\"https://docs.python.org/2/library/array.html\\\" target=\\\"_blank\\\">array</a>, <a href=\\\"https://docs.python.org/2/library/bisect.html\\\" target=\\\"_blank\\\">bisect</a>, <a href=\\\"https://docs.python.org/2/library/collections.html\\\" target=\\\"_blank\\\">collections</a>. If you need more libraries, you can import it yourself.</p>\\r\\n\\r\\n<p>For Map/TreeMap data structure, you may use <a href=\\\"http://www.grantjenks.com/docs/sortedcontainers/\\\" target=\\\"_blank\\\">sortedcontainers</a> library.</p>\\r\\n\\r\\n<p>Note that Python 2.7 <a href=\\\"https://www.python.org/dev/peps/pep-0373/\\\" target=\\\"_blank\\\">will not be maintained past 2020</a>. For the latest Python, please choose Python3 instead.</p>\"], \"csharp\": [\"C#\", \"<p><a href=\\\"https://learn.microsoft.com/en-us/dotnet/csharp/whats-new/csharp-10\\\" target=\\\"_blank\\\">C# 10 with .NET 6 runtime</a></p>\"], \"javascript\": [\"JavaScript\", \"<p><code>Node.js 16.13.2</code>.</p>\\r\\n\\r\\n<p>Your code is run with <code>--harmony</code> flag, enabling <a href=\\\"http://node.green/\\\" target=\\\"_blank\\\">new ES6 features</a>.</p>\\r\\n\\r\\n<p><a href=\\\"https://lodash.com\\\" target=\\\"_blank\\\">lodash.js</a> library is included by default.</p>\\r\\n\\r\\n<p>For Priority Queue / Queue data structures, you may use 5.3.0 version of <a href=\\\"https://github.com/datastructures-js/priority-queue/tree/fb4fdb984834421279aeb081df7af624d17c2a03\\\" target=\\\"_blank\\\">datastructures-js/priority-queue</a> and 4.2.1 version of <a href=\\\"https://github.com/datastructures-js/queue/tree/e63563025a5a805aa16928cb53bcd517bfea9230\\\" target=\\\"_blank\\\">datastructures-js/queue</a>.</p>\"], \"python3\": [\"Python3\", \"<p><code>Python 3.10</code>.</p>\\r\\n\\r\\n<p>Most libraries are already imported automatically for your convenience, such as <a href=\\\"https://docs.python.org/3/library/array.html\\\" target=\\\"_blank\\\">array</a>, <a href=\\\"https://docs.python.org/3/library/bisect.html\\\" target=\\\"_blank\\\">bisect</a>, <a href=\\\"https://docs.python.org/3/library/collections.html\\\" target=\\\"_blank\\\">collections</a>. If you need more libraries, you can import it yourself.</p>\\r\\n\\r\\n<p>For Map/TreeMap data structure, you may use <a href=\\\"http://www.grantjenks.com/docs/sortedcontainers/\\\" target=\\\"_blank\\\">sortedcontainers</a> library.</p>\"]}",
|
||||
"libraryUrl": null,
|
||||
"adminUrl": null,
|
||||
"challengeQuestion": null,
|
||||
|
||||
@ -11,8 +11,8 @@
|
||||
"translatedContent": null,
|
||||
"isPaidOnly": true,
|
||||
"difficulty": "Easy",
|
||||
"likes": 185,
|
||||
"dislikes": 46,
|
||||
"likes": 251,
|
||||
"dislikes": 60,
|
||||
"isLiked": null,
|
||||
"similarQuestions": "[]",
|
||||
"exampleTestcases": "{\"headers\":{\"Ads\":[\"ad_id\",\"user_id\",\"action\"]},\"rows\":{\"Ads\":[[1,1,\"Clicked\"],[2,2,\"Clicked\"],[3,3,\"Viewed\"],[5,5,\"Ignored\"],[1,7,\"Ignored\"],[2,7,\"Viewed\"],[3,5,\"Clicked\"],[1,4,\"Viewed\"],[2,11,\"Viewed\"],[1,2,\"Clicked\"]]}}",
|
||||
@ -28,12 +28,19 @@
|
||||
],
|
||||
"companyTagStats": null,
|
||||
"codeSnippets": null,
|
||||
"stats": "{\"totalAccepted\": \"28.3K\", \"totalSubmission\": \"46.9K\", \"totalAcceptedRaw\": 28255, \"totalSubmissionRaw\": 46921, \"acRate\": \"60.2%\"}",
|
||||
"stats": "{\"totalAccepted\": \"39.4K\", \"totalSubmission\": \"66.1K\", \"totalAcceptedRaw\": 39416, \"totalSubmissionRaw\": 66056, \"acRate\": \"59.7%\"}",
|
||||
"hints": [],
|
||||
"solution": null,
|
||||
"solution": {
|
||||
"id": "2088",
|
||||
"canSeeDetail": false,
|
||||
"paidOnly": true,
|
||||
"hasVideoSolution": false,
|
||||
"paidOnlyVideo": true,
|
||||
"__typename": "ArticleNode"
|
||||
},
|
||||
"status": null,
|
||||
"sampleTestCase": "{\"headers\":{\"Ads\":[\"ad_id\",\"user_id\",\"action\"]},\"rows\":{\"Ads\":[[1,1,\"Clicked\"],[2,2,\"Clicked\"],[3,3,\"Viewed\"],[5,5,\"Ignored\"],[1,7,\"Ignored\"],[2,7,\"Viewed\"],[3,5,\"Clicked\"],[1,4,\"Viewed\"],[2,11,\"Viewed\"],[1,2,\"Clicked\"]]}}",
|
||||
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Ads (ad_id int, user_id int, action ENUM('Clicked', 'Viewed', 'Ignored'))\"\n ],\n \"mssql\": [\n \"Create table Ads (ad_id int, user_id int, action VARCHAR(10) NOT NULL CHECK (action IN ('Clicked', 'Viewed', 'Ignored')))\"\n ],\n \"oraclesql\": [\n \"Create table Ads (ad_id int, user_id int, action VARCHAR(10) NOT NULL CHECK (action IN ('Clicked', 'Viewed', 'Ignored')))\"\n ],\n \"database\": true\n}",
|
||||
"metaData": "{\"mysql\": [\"Create table If Not Exists Ads (ad_id int, user_id int, action ENUM('Clicked', 'Viewed', 'Ignored'))\"], \"mssql\": [\"Create table Ads (ad_id int, user_id int, action VARCHAR(10) NOT NULL CHECK (action IN ('Clicked', 'Viewed', 'Ignored')))\"], \"oraclesql\": [\"Create table Ads (ad_id int, user_id int, action VARCHAR(10) NOT NULL CHECK (action IN ('Clicked', 'Viewed', 'Ignored')))\"], \"database\": true, \"name\": \"ads_performance\", \"pythondata\": [\"Ads = pd.DataFrame([], columns=['ad_id', 'user_id']).astype({'ad_id':'Int64', 'user_id':'Int64', 'action':'object'})\"], \"postgresql\": [\"Create table If Not Exists Ads (ad_id int, user_id int, action VARCHAR(30) CHECK (action IN ('Clicked', 'Viewed', 'Ignored')))\\n\"], \"database_schema\": {\"Ads\": {\"ad_id\": \"INT\", \"user_id\": \"INT\", \"action\": \"ENUM('Clicked', 'Viewed', 'Ignored')\"}}}",
|
||||
"judgerAvailable": true,
|
||||
"judgeType": "large",
|
||||
"mysqlSchemas": [
|
||||
@ -53,7 +60,7 @@
|
||||
"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>\"]}",
|
||||
"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,
|
||||
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@ -11,8 +11,8 @@
|
||||
"translatedContent": null,
|
||||
"isPaidOnly": true,
|
||||
"difficulty": "Medium",
|
||||
"likes": 288,
|
||||
"dislikes": 22,
|
||||
"likes": 407,
|
||||
"dislikes": 26,
|
||||
"isLiked": null,
|
||||
"similarQuestions": "[]",
|
||||
"exampleTestcases": "{\"headers\":{\"Employees\":[\"employee_id\",\"employee_name\",\"manager_id\"]},\"rows\":{\"Employees\":[[1,\"Boss\",1],[3,\"Alice\",3],[2,\"Bob\",1],[4,\"Daniel\",2],[7,\"Luis\",4],[8,\"John\",3],[9,\"Angela\",8],[77,\"Robert\",1]]}}",
|
||||
@ -28,12 +28,12 @@
|
||||
],
|
||||
"companyTagStats": null,
|
||||
"codeSnippets": null,
|
||||
"stats": "{\"totalAccepted\": \"37.8K\", \"totalSubmission\": \"42.9K\", \"totalAcceptedRaw\": 37762, \"totalSubmissionRaw\": 42902, \"acRate\": \"88.0%\"}",
|
||||
"stats": "{\"totalAccepted\": \"50.9K\", \"totalSubmission\": \"59.5K\", \"totalAcceptedRaw\": 50884, \"totalSubmissionRaw\": 59528, \"acRate\": \"85.5%\"}",
|
||||
"hints": [],
|
||||
"solution": null,
|
||||
"status": null,
|
||||
"sampleTestCase": "{\"headers\":{\"Employees\":[\"employee_id\",\"employee_name\",\"manager_id\"]},\"rows\":{\"Employees\":[[1,\"Boss\",1],[3,\"Alice\",3],[2,\"Bob\",1],[4,\"Daniel\",2],[7,\"Luis\",4],[8,\"John\",3],[9,\"Angela\",8],[77,\"Robert\",1]]}}",
|
||||
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Employees (employee_id int, employee_name varchar(30), manager_id int)\"\n ],\n \"mssql\": [\n \"Create table Employees (employee_id int, employee_name varchar(30), manager_id int)\"\n ],\n \"oraclesql\": [\n \"Create table Employees (employee_id int, employee_name varchar(30), manager_id int)\"\n ],\n \"database\": true\n}",
|
||||
"metaData": "{\"mysql\": [\"Create table If Not Exists Employees (employee_id int, employee_name varchar(30), manager_id int)\"], \"mssql\": [\"Create table Employees (employee_id int, employee_name varchar(30), manager_id int)\"], \"oraclesql\": [\"Create table Employees (employee_id int, employee_name varchar(30), manager_id int)\"], \"database\": true, \"name\": \"find_reporting_people\", \"pythondata\": [\"Employees = pd.DataFrame([], columns=['employee_id', 'employee_name', 'manager_id']).astype({'employee_id':'Int64', 'employee_name':'object', 'manager_id':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Employees (employee_id int, employee_name varchar(30), manager_id int)\"], \"database_schema\": {\"Employees\": {\"employee_id\": \"INT\", \"employee_name\": \"VARCHAR(30)\", \"manager_id\": \"INT\"}}}",
|
||||
"judgerAvailable": true,
|
||||
"judgeType": "large",
|
||||
"mysqlSchemas": [
|
||||
@ -51,7 +51,7 @@
|
||||
"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>\"]}",
|
||||
"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,
|
||||
|
||||
@ -11,8 +11,8 @@
|
||||
"translatedContent": null,
|
||||
"isPaidOnly": true,
|
||||
"difficulty": "Medium",
|
||||
"likes": 30,
|
||||
"dislikes": 3,
|
||||
"likes": 91,
|
||||
"dislikes": 6,
|
||||
"isLiked": null,
|
||||
"similarQuestions": "[]",
|
||||
"exampleTestcases": "{\"headers\":{\"Relations\":[\"user_id\",\"follower_id\"]},\"rows\":{\"Relations\":[[1,3],[2,3],[7,3],[1,4],[2,4],[7,4],[1,5],[2,6],[7,5]]}}",
|
||||
@ -28,12 +28,12 @@
|
||||
],
|
||||
"companyTagStats": null,
|
||||
"codeSnippets": null,
|
||||
"stats": "{\"totalAccepted\": \"3.6K\", \"totalSubmission\": \"5K\", \"totalAcceptedRaw\": 3629, \"totalSubmissionRaw\": 5000, \"acRate\": \"72.6%\"}",
|
||||
"stats": "{\"totalAccepted\": \"10.4K\", \"totalSubmission\": \"15.1K\", \"totalAcceptedRaw\": 10358, \"totalSubmissionRaw\": 15099, \"acRate\": \"68.6%\"}",
|
||||
"hints": [],
|
||||
"solution": null,
|
||||
"status": null,
|
||||
"sampleTestCase": "{\"headers\":{\"Relations\":[\"user_id\",\"follower_id\"]},\"rows\":{\"Relations\":[[1,3],[2,3],[7,3],[1,4],[2,4],[7,4],[1,5],[2,6],[7,5]]}}",
|
||||
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Relations (user_id int, follower_id int)\"\n ],\n \"mssql\": [\n \"Create table Relations (user_id int, follower_id int)\"\n ],\n \"oraclesql\": [\n \"Create table Relations (user_id int, follower_id int)\"\n ],\n \"database\": true\n}",
|
||||
"metaData": "{\"mysql\": [\"Create table If Not Exists Relations (user_id int, follower_id int)\"], \"mssql\": [\"Create table Relations (user_id int, follower_id int)\"], \"oraclesql\": [\"Create table Relations (user_id int, follower_id int)\"], \"database\": true, \"name\": \"find_pairs\", \"pythondata\": [\"Relations = pd.DataFrame([], columns=['user_id', 'follower_id']).astype({'user_id':'Int64', 'follower_id':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Relations (user_id int, follower_id int)\"], \"database_schema\": {\"Relations\": {\"user_id\": \"INT\", \"follower_id\": \"INT\"}}}",
|
||||
"judgerAvailable": true,
|
||||
"judgeType": "large",
|
||||
"mysqlSchemas": [
|
||||
@ -52,7 +52,7 @@
|
||||
"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>\"]}",
|
||||
"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,
|
||||
|
||||
@ -11,8 +11,8 @@
|
||||
"translatedContent": null,
|
||||
"isPaidOnly": true,
|
||||
"difficulty": "Easy",
|
||||
"likes": 50,
|
||||
"dislikes": 87,
|
||||
"likes": 69,
|
||||
"dislikes": 133,
|
||||
"isLiked": null,
|
||||
"similarQuestions": "[]",
|
||||
"exampleTestcases": "{\"headers\":{\"SchoolA\":[\"student_id\",\"student_name\"],\"SchoolB\":[\"student_id\",\"student_name\"],\"SchoolC\":[\"student_id\",\"student_name\"]},\"rows\":{\"SchoolA\":[[1,\"Alice\"],[2,\"Bob\"]],\"SchoolB\":[[3,\"Tom\"]],\"SchoolC\":[[3,\"Tom\"],[2,\"Jerry\"],[10,\"Alice\"]]}}",
|
||||
@ -28,12 +28,12 @@
|
||||
],
|
||||
"companyTagStats": null,
|
||||
"codeSnippets": null,
|
||||
"stats": "{\"totalAccepted\": \"13K\", \"totalSubmission\": \"14.7K\", \"totalAcceptedRaw\": 13004, \"totalSubmissionRaw\": 14685, \"acRate\": \"88.6%\"}",
|
||||
"stats": "{\"totalAccepted\": \"18.5K\", \"totalSubmission\": \"22K\", \"totalAcceptedRaw\": 18489, \"totalSubmissionRaw\": 22005, \"acRate\": \"84.0%\"}",
|
||||
"hints": [],
|
||||
"solution": null,
|
||||
"status": null,
|
||||
"sampleTestCase": "{\"headers\":{\"SchoolA\":[\"student_id\",\"student_name\"],\"SchoolB\":[\"student_id\",\"student_name\"],\"SchoolC\":[\"student_id\",\"student_name\"]},\"rows\":{\"SchoolA\":[[1,\"Alice\"],[2,\"Bob\"]],\"SchoolB\":[[3,\"Tom\"]],\"SchoolC\":[[3,\"Tom\"],[2,\"Jerry\"],[10,\"Alice\"]]}}",
|
||||
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists SchoolA (student_id int, student_name varchar(20))\",\n \"Create table If Not Exists SchoolB (student_id int, student_name varchar(20))\",\n \"Create table If Not Exists SchoolC (student_id int, student_name varchar(20))\"\n ],\n \"mssql\": [\n \"Create table SchoolA (student_id int, student_name varchar(20))\",\n \"Create table SchoolB (student_id int, student_name varchar(20))\",\n \"Create table SchoolC (student_id int, student_name varchar(20))\"\n ],\n \"oraclesql\": [\n \"Create table SchoolA (student_id int, student_name varchar(20))\",\n \"Create table SchoolB (student_id int, student_name varchar(20))\",\n \"Create table SchoolC (student_id int, student_name varchar(20))\"\n ],\n \"database\": true\n}",
|
||||
"metaData": "{\"mysql\": [\"Create table If Not Exists SchoolA (student_id int, student_name varchar(20))\", \"Create table If Not Exists SchoolB (student_id int, student_name varchar(20))\", \"Create table If Not Exists SchoolC (student_id int, student_name varchar(20))\"], \"mssql\": [\"Create table SchoolA (student_id int, student_name varchar(20))\", \"Create table SchoolB (student_id int, student_name varchar(20))\", \"Create table SchoolC (student_id int, student_name varchar(20))\"], \"oraclesql\": [\"Create table SchoolA (student_id int, student_name varchar(20))\", \"Create table SchoolB (student_id int, student_name varchar(20))\", \"Create table SchoolC (student_id int, student_name varchar(20))\"], \"database\": true, \"name\": \"find_valid_triplets\", \"pythondata\": [\"SchoolA = pd.DataFrame([], columns=['student_id', 'student_name']).astype({'student_id':'Int64', 'student_name':'object'})\", \"SchoolB = pd.DataFrame([], columns=['student_id', 'student_name']).astype({'student_id':'Int64', 'student_name':'object'})\", \"SchoolC = pd.DataFrame([], columns=['student_id', 'student_name']).astype({'student_id':'Int64', 'student_name':'object'})\"], \"postgresql\": [\"\\nCreate table If Not Exists SchoolA (student_id int, student_name varchar(20))\\n\", \"\\nCreate table If Not Exists SchoolB (student_id int, student_name varchar(20))\\n\", \"\\nCreate table If Not Exists SchoolC (student_id int, student_name varchar(20))\\n\"], \"database_schema\": {\"SchoolA\": {\"student_id\": \"INT\", \"student_name\": \"VARCHAR(20)\"}, \"SchoolB\": {\"student_id\": \"INT\", \"student_name\": \"VARCHAR(20)\"}, \"SchoolC\": {\"student_id\": \"INT\", \"student_name\": \"VARCHAR(20)\"}}}",
|
||||
"judgerAvailable": true,
|
||||
"judgeType": "large",
|
||||
"mysqlSchemas": [
|
||||
@ -53,7 +53,7 @@
|
||||
"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>\"]}",
|
||||
"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,
|
||||
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@ -11,8 +11,8 @@
|
||||
"translatedContent": null,
|
||||
"isPaidOnly": true,
|
||||
"difficulty": "Medium",
|
||||
"likes": 138,
|
||||
"dislikes": 17,
|
||||
"likes": 232,
|
||||
"dislikes": 22,
|
||||
"isLiked": null,
|
||||
"similarQuestions": "[]",
|
||||
"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]]}}",
|
||||
@ -28,12 +28,19 @@
|
||||
],
|
||||
"companyTagStats": null,
|
||||
"codeSnippets": null,
|
||||
"stats": "{\"totalAccepted\": \"25.9K\", \"totalSubmission\": \"28.3K\", \"totalAcceptedRaw\": 25866, \"totalSubmissionRaw\": 28264, \"acRate\": \"91.5%\"}",
|
||||
"stats": "{\"totalAccepted\": \"47.9K\", \"totalSubmission\": \"54.2K\", \"totalAcceptedRaw\": 47871, \"totalSubmissionRaw\": 54232, \"acRate\": \"88.3%\"}",
|
||||
"hints": [],
|
||||
"solution": null,
|
||||
"solution": {
|
||||
"id": "1959",
|
||||
"canSeeDetail": false,
|
||||
"paidOnly": true,
|
||||
"hasVideoSolution": false,
|
||||
"paidOnlyVideo": true,
|
||||
"__typename": "ArticleNode"
|
||||
},
|
||||
"status": null,
|
||||
"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]]}}",
|
||||
"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Sales (sale_date date, fruit ENUM('apples', 'oranges'), sold_num int)\"\n ],\n \"mssql\": [\n \"Create Table Sales (sale_date date, fruit varchar(10) NOT NULL CHECK (fruit IN ('apples', 'oranges')), sold_num int)\"\n ],\n \"oraclesql\": [\n \"Create Table Sales (sale_date date, fruit varchar(10) NOT NULL CHECK (fruit IN ('apples', 'oranges')), sold_num int)\",\n \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"\n ],\n \"database\": true\n}",
|
||||
"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\"}}}",
|
||||
"judgerAvailable": true,
|
||||
"judgeType": "large",
|
||||
"mysqlSchemas": [
|
||||
@ -51,7 +58,7 @@
|
||||
"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>\"]}",
|
||||
"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,
|
||||
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
Loading…
Reference in New Issue
Block a user