QIAN-ME/bird_schema_data huggingface dataset:
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    How many solutions contain files found within the repository most people like? more stars mean more people like this repository; most people like refers to max(Stars);

    【Evidence】
    more stars mean more people like this repository; most people like refers to max(Stars);

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Stars = ( SELECT MAX(Stars) FROM Repo )
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    Please list the path of the solution that contains files found within the repository most people like. more stars mean more people like this repository; most people like refers to max(Stars);

    【Evidence】
    more stars mean more people like this repository; most people like refers to max(Stars);

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT DISTINCT T2.Path FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Stars = ( SELECT MAX(Stars) FROM Repo )
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    What is the github address of the repository that contains files used by solution ID12? github address refers to Url;

    【Evidence】
    github address refers to Url;

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 12
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    Among the solutions that contain files within the repository followed by over 1000 people, how many of them can be
implemented without needs of compilation? followed by over 1000 people refers to Forks >1000; can be
implemented without needs of compilation refers to WasCompiled = 1;

    【Evidence】
    followed by over 1000 people refers to Forks >1000; can be
implemented without needs of compilation refers to WasCompiled = 1;

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Forks > 1000 AND T2.WasCompiled = 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    Which solution contains files within a more popular repository, the solution ID18 or solution ID19? more watchers mean that this repository is more popular;

    【Evidence】
    more watchers mean that this repository is more popular;

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT CASE WHEN SUM(CASE WHEN T2.Id = 18 THEN T1.Watchers ELSE 0 END) > SUM(CASE WHEN T2.Id = 19 THEN T1.Watchers ELSE 0 END) THEN 'SolutionID18' WHEN SUM(CASE WHEN T2.Id = 18 THEN T1.Watchers ELSE 0 END) < SUM(CASE WHEN T2.Id = 19 THEN T1.Watchers ELSE 0 END) THEN 'SolutionID19' END isMorePopular FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    Among the solutions that contain files within the repository needing the longest processed time to download, how many of them doesn't need to be
compiled if user wants to implement it? longest processed time refers to max(Solution.ProcessedTime); needs to be compiled if user wants to implement it refers to WasCompiled = 0；

    【Evidence】
    longest processed time refers to max(Solution.ProcessedTime); needs to be compiled if user wants to implement it refers to WasCompiled = 0；

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.ProcessedTime = ( SELECT MAX(ProcessedTime) FROM Repo ) AND T2.WasCompiled = 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    What is the processed time to download the repository whose files are contained in the solution with the path "jeffdik_tachy\src\Tachy.sln".

    【Evidence】
    

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT DISTINCT T2.ProcessedTime FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Path = 'jeffdik_tachysrcTachy.sln'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    Please give the url of the repository whose files are contained in solution ID 9?

    【Evidence】
    

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 9
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    Please list all the paths of the solutions containing files within the repository whose url is "https://github.com/maxild/playground.git".

    【Evidence】
    

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.Path FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Url = 'https://github.com/maxild/playground.git'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    Among the repositories with over 200 likes, how many of them have files contained by solutions with a processed time of under 636439500080712000? over 200 likes refers to Stars > 200; ProcessedTime<636439500080712000;

    【Evidence】
    over 200 likes refers to Stars > 200; ProcessedTime<636439500080712000;

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.ProcessedTime < 636439500080712000 AND T1.Stars > 200
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    Please list the IDs of the solutions that contain files within the top 3 followed repositories. more forks refers to more people follow this repository;

    【Evidence】
    more forks refers to more people follow this repository;

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.Id FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId ORDER BY T1.Forks DESC LIMIT 3
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 codebase_comments
【Schema】
# Table: Method
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Name:TEXT, Examples: [HtmlSharp.HtmlParser.Feed]),
(FullComment:TEXT),
(Summary:TEXT),
(ApiCalls:TEXT),
(CommentIsXml:INTEGER, Examples: [0, 1]),
(SampledAt:INTEGER, Examples: [636430963695654788, 636430963695709898, 636430963721734366]),
(SolutionId:INTEGER, Examples: [1, 2, 3]),
(Lang:TEXT, Examples: [en, fr, fi]),
(NameTokenized:TEXT, Examples: [html parser feed])
]
# Table: Repo
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Url:TEXT),
(Stars:INTEGER, Examples: [14, 6, 3]),
(Forks:INTEGER, Examples: [2, 3, 0]),
(Watchers:INTEGER, Examples: [14, 6, 3]),
(ProcessedTime:INTEGER, Examples: [636430963247108053, 636472436323838240, 636430963280029575])
]
# Table: MethodParameter
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(MethodId:TEXT, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [System.String]),
(Name:TEXT, Examples: [data, i, declstartpos])
]
# Table: Solution
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(RepoId:INTEGER, Examples: [1, 3, 4]),
(Path:TEXT, Examples: [wallerdev_htmlsharp\HtmlSharp.sln]),
(ProcessedTime:INTEGER, Examples: [636430963695642191, 636430963721734366, 636430963735704849]),
(WasCompiled:INTEGER, Examples: [1, 0])
]

    【Question】
    What is the average time needed for the solutions containing files within the repository whose url is "https://github.com/jeffdik/tachy.git" to be processd? average time = avg(ProcessedTime)；

    【Evidence】
    average time = avg(ProcessedTime)；

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT CAST(SUM(T2.ProcessedTime) AS REAL) / COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Url = 'https://github.com/jeffdik/tachy.git'