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{
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"title" : "Running Total for Different Genders" ,
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{
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"hints" : [ ] ,
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"sampleTestCase" : "{\"headers\":{\"Scores\":[\"player_name\",\"gender\",\"day\",\"score_points\"]},\"rows\":{\"Scores\":[[\"Aron\",\"F\",\"2020-01-01\",17],[\"Alice\",\"F\",\"2020-01-07\",23],[\"Bajrang\",\"M\",\"2020-01-07\",7],[\"Khali\",\"M\",\"2019-12-25\",11],[\"Slaman\",\"M\",\"2019-12-30\",13],[\"Joe\",\"M\",\"2019-12-31\",3],[\"Jose\",\"M\",\"2019-12-18\",2],[\"Priya\",\"F\",\"2019-12-31\",23],[\"Priyanka\",\"F\",\"2019-12-30\",17]]}}" ,
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"metaData" : "{\"mysql\": [\"Create table If Not Exists Scores (player_name varchar(20), gender varchar(1), day date, score_points int)\"], \"mssql\": [\"Create table Scores (player_name varchar(20), gender varchar(1), day date, score_points int)\"], \"oraclesql\": [\"Create table Scores (player_name varchar(20), gender varchar(1), day date, score_points int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"running_total\", \"pythondata\": [\"Scores = pd.DataFrame([], columns=['player_name', 'gender', 'day', 'score_points']).astype({'player_name':'object', 'gender':'object', 'day':'datetime64[ns]', 'score_points':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Scores (player_name varchar(20), gender varchar(1), day date, score_points int)\"], \"database_schema\": {\"Scores\": {\"player_name\": \"VARCHAR(20)\", \"gender\": \"VARCHAR(1)\", \"day\": \"DATE\", \"score_points\": \"INT\"}}}" ,
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"Create table If Not Exists Scores (player_name varchar(20), gender varchar(1), day date, score_points int)" ,
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"insert into Scores (player_name, gender, day, score_points) values ('Aron', 'F', '2020-01-01', '17')" ,
"insert into Scores (player_name, gender, day, score_points) values ('Alice', 'F', '2020-01-07', '23')" ,
"insert into Scores (player_name, gender, day, score_points) values ('Bajrang', 'M', '2020-01-07', '7')" ,
"insert into Scores (player_name, gender, day, score_points) values ('Khali', 'M', '2019-12-25', '11')" ,
"insert into Scores (player_name, gender, day, score_points) values ('Slaman', 'M', '2019-12-30', '13')" ,
"insert into Scores (player_name, gender, day, score_points) values ('Joe', 'M', '2019-12-31', '3')" ,
"insert into Scores (player_name, gender, day, score_points) values ('Jose', 'M', '2019-12-18', '2')" ,
"insert into Scores (player_name, gender, day, score_points) values ('Priya', 'F', '2019-12-31', '23')" ,
"insert into Scores (player_name, gender, day, score_points) values ('Priyanka', 'F', '2019-12-30', '17')"
] ,
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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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