leetcode-problemset/leetcode-cn/originData/big-countries.json

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            "title": "Big Countries",
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            "content": "<p>Table: <code>World</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| name        | varchar |\n| continent   | varchar |\n| area        | int     |\n| population  | int     |\n| gdp         | bigint  |\n+-------------+---------+\nname is the primary key (column with unique values) for this table.\nEach row of this table gives information about the name of a country, the continent to which it belongs, its area, the population, and its GDP value.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>A country is <strong>big</strong> if:</p>\n\n<ul>\n\t<li>it has an area of at least&nbsp;three million (i.e., <code>3000000 km<sup>2</sup></code>), or</li>\n\t<li>it has a population of at least&nbsp;twenty-five million (i.e., <code>25000000</code>).</li>\n</ul>\n\n<p>Write a solution to find the name, population, and area of the <strong>big countries</strong>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nWorld table:\n+-------------+-----------+---------+------------+--------------+\n| name        | continent | area    | population | gdp          |\n+-------------+-----------+---------+------------+--------------+\n| Afghanistan | Asia      | 652230  | 25500100   | 20343000000  |\n| Albania     | Europe    | 28748   | 2831741    | 12960000000  |\n| Algeria     | Africa    | 2381741 | 37100000   | 188681000000 |\n| Andorra     | Europe    | 468     | 78115      | 3712000000   |\n| Angola      | Africa    | 1246700 | 20609294   | 100990000000 |\n+-------------+-----------+---------+------------+--------------+\n<strong>Output:</strong> \n+-------------+------------+---------+\n| name        | population | area    |\n+-------------+------------+---------+\n| Afghanistan | 25500100   | 652230  |\n| Algeria     | 37100000   | 2381741 |\n+-------------+------------+---------+\n</pre>\n",
            "translatedTitle": "大的国家",
            "translatedContent": "<p><code>World</code> 表：</p>\n\n<div class=\"top-view__1vxA\">\n<div class=\"original__bRMd\">\n<div>\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| name        | varchar |\n| continent   | varchar |\n| area        | int     |\n| population  | int     |\n| gdp         | bigint  |\n+-------------+---------+\n<code>name</code> 是该表的主键（具有唯一值的列）。\n这张表的每一行提供：国家名称、所属大陆、面积、人口和 GDP 值。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>如果一个国家满足下述两个条件之一，则认为该国是 <strong>大国</strong> ：</p>\n\n<ul>\n\t<li>面积至少为 300 万平方公里（即，<code>3000000 km<sup>2</sup></code>），或者</li>\n\t<li>人口至少为 2500 万（即 <code>25000000</code>）</li>\n</ul>\n\n<p>编写解决方案找出&nbsp;<strong>大国</strong> 的国家名称、人口和面积。</p>\n\n<p>按 <strong>任意顺序</strong> 返回结果表。</p>\n\n<p>返回结果格式如下例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong class=\"example\">示例：</strong></p>\n\n<pre>\n<strong>输入：</strong>\nWorld 表：\n+-------------+-----------+---------+------------+--------------+\n| name        | continent | area    | population | gdp          |\n+-------------+-----------+---------+------------+--------------+\n| Afghanistan | Asia      | 652230  | 25500100   | 20343000000  |\n| Albania     | Europe    | 28748   | 2831741    | 12960000000  |\n| Algeria     | Africa    | 2381741 | 37100000   | 188681000000 |\n| Andorra     | Europe    | 468     | 78115      | 3712000000   |\n| Angola      | Africa    | 1246700 | 20609294   | 100990000000 |\n+-------------+-----------+---------+------------+--------------+\n<strong>输出：</strong>\n+-------------+------------+---------+\n| name        | population | area    |\n+-------------+------------+---------+\n| Afghanistan | 25500100   | 652230  |\n| Algeria     | 37100000   | 2381741 |\n+-------------+------------+---------+\n</pre>\n</div>\n</div>\n</div>\n",
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                    "code": "import pandas as pd\n\ndef big_countries(world: pd.DataFrame) -> pd.DataFrame:\n    ",
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            "sampleTestCase": "{\"headers\": {\"World\": [\"name\", \"continent\",\t\"area\",\t\"population\", \"gdp\"]}, \"rows\": {\"World\": [[\"Afghanistan\", \"Asia\", 652230, 25500100, 20343000000], [\"Albania\", \"Europe\", 28748, 2831741, 12960000000], [\"Algeria\", \"Africa\", 2381741, 37100000, 188681000000], [\"Andorra\", \"Europe\", 468, 78115,\t3712000000], [\"Angola\", \"Africa\", 1246700, 20609294, 100990000000]]}}",
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                "Create table If Not Exists World (name varchar(255), continent varchar(255), area int, population int, gdp bigint)",
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                "insert into World (name, continent, area, population, gdp) values ('Afghanistan', 'Asia', '652230', '25500100', '20343000000')",
                "insert into World (name, continent, area, population, gdp) values ('Albania', 'Europe', '28748', '2831741', '12960000000')",
                "insert into World (name, continent, area, population, gdp) values ('Algeria', 'Africa', '2381741', '37100000', '188681000000')",
                "insert into World (name, continent, area, population, gdp) values ('Andorra', 'Europe', '468', '78115', '3712000000')",
                "insert into World (name, continent, area, population, gdp) values ('Angola', 'Africa', '1246700', '20609294', '100990000000')"
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