segmenttree | A segment tree implementation in Python | Dataset library

 by   leonsim Python Version: Current License: No License

kandi X-RAY | segmenttree Summary

kandi X-RAY | segmenttree Summary

segmenttree is a Python library typically used in Artificial Intelligence, Dataset applications. segmenttree has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A segment tree (interval tree) implementation in Python
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            kandi-support Support

              segmenttree has a low active ecosystem.
              It has 20 star(s) with 9 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              segmenttree has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of segmenttree is current.

            kandi-Quality Quality

              segmenttree has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              segmenttree releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.

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            segmenttree Key Features

            No Key Features are available at this moment for segmenttree.

            segmenttree Examples and Code Snippets

            No Code Snippets are available at this moment for segmenttree.

            Community Discussions

            QUESTION

            FLIPCOIN problem solution using SegmentTree has high runtime
            Asked 2022-Feb-18 at 19:27

            I've been trying to solve the FLIPCOIN question of CodeChef (https://www.codechef.com/problems/FLIPCOIN) but I always received the message Time Limit Exceeded.

            The input is as follows: First comes a number n, the length of a row of coins, all turned tails up initially, and a number q, the number of tasks. After that follow q tasks: updates, which have the form 0 A B and and should flip all coins in the range (inclusive) from A to B, and queries of the form 1 A B, where one should ouput the number of coins turned heads in the range from A to B.

            I've already seen some solutions but I still don't know what is the problem with my code, is it because of the class? I would like to know why my code is so slow.

            ...

            ANSWER

            Answered 2022-Feb-18 at 19:27

            The reason why your code is slow is that while your range queries take logarithmic time, your range updates take linear time. When updating a range of length n, you don't want to look at all n elements in that range. Instead, you want to make your updates lazy.

            What does that mean? If the range of a SegTree node is fully inside you queried range (left <= leftmost && rightmost <= right), you can just remember that you will need to update the coins in that range and recalculate the number of coins turned to heads (n_heads = rightmost - leftmost + 1 - n_heads) after the flip, but don't actually do anything else (especially not doing a recursive call) Now when do you do the update? Always before doing a recursive call to the children, you will need to push the stored update in the current node to them. You can do this with an apply() method (this will flip all the coins in a SegTree node) and a push() method, which will apply a lazy update, if we need one.

            This will reduce your runtime for a query from O(n) to O(log n)

            So you need to do the following.

            1. add a bool update = false field to your SegTree
            2. add an apply and a push method

            Source https://stackoverflow.com/questions/71138072

            QUESTION

            can I deduce template argument later?
            Asked 2021-Sep-12 at 08:06
            #include
            #include
            
            class SegmentTree final{
                public:
                    template using data_type=T;
                public:
                    template
                    explicit SegmentTree(const size_type& size);
            };
            
            ...

            ANSWER

            Answered 2021-Sep-12 at 08:06

            There is no such thing as a inner template parameters for data members. If a data member depends on a type template parameter, such a parameter must be available in the signature of the class. That does not mean, however, that you need to specify all template parameters when instantiating a class, because, in c++17, they can be deduced by the constructor, see here.

            Example:

            Source https://stackoverflow.com/questions/69147735

            QUESTION

            C++ initializing custom type in constructor
            Asked 2020-Apr-15 at 08:07

            I have the following code:

            ...

            ANSWER

            Answered 2020-Apr-14 at 19:37

            You need to use an initaliser list

            Source https://stackoverflow.com/questions/61215763

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

            Vulnerabilities

            No vulnerabilities reported

            Install segmenttree

            You can download it from GitHub.
            You can use segmenttree like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/leonsim/segmenttree.git

          • CLI

            gh repo clone leonsim/segmenttree

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            git@github.com:leonsim/segmenttree.git

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