存量题库数据更新

leetcode/originData/[no content]median-employee-salary.json

@@ -11,8 +11,8 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Hard",
-            "likes": 230,
-            "dislikes": 125,
+            "likes": 315,
+            "dislikes": 149,
             "isLiked": null,
             "similarQuestions": "[{\"title\": \"Find Median Given Frequency of Numbers\", \"titleSlug\": \"find-median-given-frequency-of-numbers\", \"difficulty\": \"Hard\", \"translatedTitle\": null}]",
             "exampleTestcases": "{\"headers\": {\"Employee\": [\"id\", \"company\", \"salary\"]}, \"rows\": {\"Employee\": [[1, \"A\", 2341],[2, \"A\", 341],[3, \"A\", 15],[4, \"A\", 15314],[5, \"A\", 451],[6, \"A\", 513],[7, \"B\", 15],[8, \"B\", 13],[9, \"B\", 1154],[10, \"B\", 1345],[11, \"B\", 1221],[12, \"B\", 234],[13, \"C\", 2345],[14, \"C\", 2645],[15, \"C\", 2645],[16, \"C\", 2652],[17, \"C\", 65]]}}",
@@ -28,16 +28,23 @@
             ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"27K\", \"totalSubmission\": \"40.5K\", \"totalAcceptedRaw\": 26970, \"totalSubmissionRaw\": 40462, \"acRate\": \"66.7%\"}",
+            "stats": "{\"totalAccepted\": \"37.4K\", \"totalSubmission\": \"56.6K\", \"totalAcceptedRaw\": 37439, \"totalSubmissionRaw\": 56559, \"acRate\": \"66.2%\"}",
             "hints": [
                 "Still remember how to select the sum which group by one column?",
                 "Try to think about how to get the median from a sorted list.",
                 "How to get the median one item for odd number list while how to get the median two items for even number list, try to unify them."
             ],
-            "solution": null,
+            "solution": {
+                "id": "131",
+                "canSeeDetail": false,
+                "paidOnly": true,
+                "hasVideoSolution": false,
+                "paidOnlyVideo": true,
+                "__typename": "ArticleNode"
+            },
             "status": null,
             "sampleTestCase": "{\"headers\": {\"Employee\": [\"id\", \"company\", \"salary\"]}, \"rows\": {\"Employee\": [[1, \"A\", 2341],[2, \"A\", 341],[3, \"A\", 15],[4, \"A\", 15314],[5, \"A\", 451],[6, \"A\", 513],[7, \"B\", 15],[8, \"B\", 13],[9, \"B\", 1154],[10, \"B\", 1345],[11, \"B\", 1221],[12, \"B\", 234],[13, \"C\", 2345],[14, \"C\", 2645],[15, \"C\", 2645],[16, \"C\", 2652],[17, \"C\", 65]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Employee (id int, company varchar(255), salary int)\"\n  ],\n  \"mssql\": [\n    \"Create table Employee (id int, company varchar(255), salary int)\"\n  ],\n  \"oraclesql\": [\n    \"Create table Employee (id int, company varchar(255), salary int)\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\": [\"Create table If Not Exists Employee (id int, company varchar(255), salary int)\"], \"mssql\": [\"Create table Employee (id int, company varchar(255), salary int)\"], \"oraclesql\": [\"Create table Employee (id int, company varchar(255), salary int)\"], \"database\": true, \"name\": \"median_employee_salary\", \"pythondata\": [\"Employee = pd.DataFrame([], columns=['id', 'company', 'salary']).astype({'id':'Int64', 'company':'object', 'salary':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Employee (id int, company varchar(255), salary int)\"], \"database_schema\": {\"Employee\": {\"id\": \"INT\", \"company\": \"VARCHAR(255)\", \"salary\": \"INT\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -64,7 +71,7 @@
             "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,