存量题库数据更新

leetcode/originData/[no content]count-occurrences-in-text.json

@@ -11,11 +11,11 @@
             "translatedContent": null,
             "isPaidOnly": true,
             "difficulty": "Medium",
-            "likes": 4,
-            "dislikes": 5,
+            "likes": 17,
+            "dislikes": 38,
             "isLiked": null,
             "similarQuestions": "[]",
-            "exampleTestcases": null,
+            "exampleTestcases": "{\"headers\":{\"Files\":[\"file_name\",\"content\"]},\"rows\":{\"Files\":[[\"draft1.txt\",\"The stock exchange predicts a bull market which would make many investors happy.\"],[\"draft2.txt\",\"The stock exchange predicts a bull market which would make many investors happy, but analysts warn of possibility of too much optimism and that in fact we are awaiting a bear market.\"],[\"final.txt\",\"The stock exchange predicts a bull market which would make many investors happy, but analysts warn of possibility of too much optimism and that in fact we are awaiting a bear market. As always predicting the future market is an uncertain game and all investors should follow their instincts and best practices.\"]]}}",
             "categoryTitle": "Database",
             "contributors": [],
             "topicTags": [
@@ -28,12 +28,19 @@
             ],
             "companyTagStats": null,
             "codeSnippets": null,
-            "stats": "{\"totalAccepted\": \"90\", \"totalSubmission\": \"230\", \"totalAcceptedRaw\": 90, \"totalSubmissionRaw\": 230, \"acRate\": \"39.1%\"}",
+            "stats": "{\"totalAccepted\": \"1.8K\", \"totalSubmission\": \"3.4K\", \"totalAcceptedRaw\": 1804, \"totalSubmissionRaw\": 3420, \"acRate\": \"52.7%\"}",
             "hints": [],
-            "solution": null,
+            "solution": {
+                "id": "2195",
+                "canSeeDetail": true,
+                "paidOnly": false,
+                "hasVideoSolution": false,
+                "paidOnlyVideo": true,
+                "__typename": "ArticleNode"
+            },
             "status": null,
             "sampleTestCase": "{\"headers\":{\"Files\":[\"file_name\",\"content\"]},\"rows\":{\"Files\":[[\"draft1.txt\",\"The stock exchange predicts a bull market which would make many investors happy.\"],[\"draft2.txt\",\"The stock exchange predicts a bull market which would make many investors happy, but analysts warn of possibility of too much optimism and that in fact we are awaiting a bear market.\"],[\"final.txt\",\"The stock exchange predicts a bull market which would make many investors happy, but analysts warn of possibility of too much optimism and that in fact we are awaiting a bear market. As always predicting the future market is an uncertain game and all investors should follow their instincts and best practices.\"]]}}",
-            "metaData": "{\n  \"mysql\": [\n    \"Create table If Not Exists Files (file_name varchar(100), content text )\"\n  ],\n  \"mssql\": [\n    \"Create table Files (file_name varchar(100), content text )\"\n  ],\n  \"oraclesql\": [\n    \"Create table Files (file_name varchar(100), content clob )\"\n  ],\n  \"database\": true\n}",
+            "metaData": "{\"mysql\": [\"Create table If Not Exists Files (file_name varchar(100), content text )\"], \"mssql\": [\"Create table Files (file_name varchar(100), content text )\"], \"oraclesql\": [\"Create table Files (file_name varchar(100), content clob )\"], \"database\": true, \"name\": \"count_occurrences\", \"pythondata\": [\"Files = pd.DataFrame([], columns=['file_name', 'content']).astype({'file_name':'object', 'content':'object'})\"], \"postgresql\": [\"Create table If Not Exists Files (file_name varchar(100), content text )\"], \"database_schema\": {\"Files\": {\"file_name\": \"VARCHAR(100)\", \"content\": \"TEXT\"}}}",
             "judgerAvailable": true,
             "judgeType": "large",
             "mysqlSchemas": [
@@ -46,7 +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,