algorithms_and_data_structures | various algorithms data-structures | Learning library

 by   shravan97 C++ Version: Current License: No License

kandi X-RAY | algorithms_and_data_structures Summary

kandi X-RAY | algorithms_and_data_structures Summary

algorithms_and_data_structures is a C++ library typically used in Tutorial, Learning, Example Codes, LeetCode applications. algorithms_and_data_structures has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

My implementation of various algorithms and data-structures and my solutions to various competitive programming questions
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              algorithms_and_data_structures has a low active ecosystem.
              It has 7 star(s) with 2 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              algorithms_and_data_structures has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of algorithms_and_data_structures is current.

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              algorithms_and_data_structures has 0 bugs and 0 code smells.

            kandi-Security Security

              algorithms_and_data_structures has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              algorithms_and_data_structures code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              algorithms_and_data_structures does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              algorithms_and_data_structures releases are not available. You will need to build from source code and install.
              It has 490 lines of code, 21 functions and 15 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            Community Discussions

            Trending Discussions on algorithms_and_data_structures

            QUESTION

            Scraping Wikipedia Subcategories (Pages) with Multiple Depths?
            Asked 2018-Oct-11 at 14:00

            If you open the computer science category in wikipedia (https://en.wikipedia.org/wiki/Category:Computer_science), it displays a total of 19 subcategories (https://en.wikipedia.org/wiki/Category:Computer_science). Now, for all these 19 subcategories, if I want to extract only the page names (the titles of pages). For example Pages in category Computer science has 45 pages which is displayed as bullets just below the wikipedia subcategories list. Now for all the other associated subcategories, for example the Areas of computer science is a subcategory with 3 pages (https://en.wikipedia.org/wiki/Category:Areas_of_computer_science). But, again it has 17 sub-categories (i.e. depth 1, considering the traversal, i.e. depth = 1 means, we are 1 deep). Again, algorithm and data structures (https://en.wikipedia.org/wiki/Category:Algorithms_and_data_structures) having 5 pages, and artificial intelligence (https://en.wikipedia.org/wiki/Category:Artificial_intelligence) having 333 pages with some additional categories and subcategories spanned in multiple pages (see Pages in category "Artificial intelligence") with 37 categories and 333 pages, like this the list goes on more deeper. We are now in depth 2. What I need is to extract all the pages (titles) for the traversal with depth 1 and depth 2. Does there exist any algorithm to achieve the same?

            For Example: the subcategory area of computer science is again having some (17) subcategories with a total number of pages 5+333+127+79+216+315+37+47+95+37+246+103+21+2+55+113+94 pages considering all the (17) subcategories. This is depth 2 because, I toggled twice the list. Similarly, same thing needs to be incorporated for the rest 18 subcategories (https://en.wikipedia.org/wiki/Category:Computer_science) with a depth of 2 for the base root Computer science?

            Does there exist any way to achieve this? Displaying and extracting that many number of pages is difficult because it will be huge. Thus, maximum threshold of 10,000 pages would be absolutely okay.

            Does there exist any way to do this? Any small help is deeply appreciated!

            ...

            ANSWER

            Answered 2018-Oct-11 at 14:00

            There is a tool called PetScan hosted by Wikimedia labs. You can easily type the category title, then select the depth you want to reach, and then it's done!. https://petscan.wmflabs.org/

            Also, see how it works https://meta.m.wikimedia.org/wiki/PetScan/en

            Source https://stackoverflow.com/questions/52747218

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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