lap | Linear Assignment Problem solver | Machine Learning library

 by   gatagat Python Version: 0.4.0 License: BSD-2-Clause

kandi X-RAY | lap Summary

kandi X-RAY | lap Summary

lap is a Python library typically used in Artificial Intelligence, Machine Learning, Example Codes applications. lap has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However lap has 1 bugs. You can install using 'pip install lap' or download it from GitHub, PyPI.

lap is a [linear assignment problem] solver using Jonker-Volgenant algorithm for dense (LAPJV [1]) or sparse (LAPMOD [2]) matrices. Both algorithms are implemented from scratch based solely on the papers [1,2] and the public domain Pascal implementation provided by A. Volgenant [3]. In my tests the LAPMOD implementation seems to be faster than the LAPJV implementation for matrices with a side of more than ~5000 and with less than 50% finite coefficients. [1] R. Jonker and A. Volgenant, "A Shortest Augmenting Path Algorithm for Dense and Sparse Linear Assignment Problems", Computing 38, 325-340 (1987) [2] A. Volgenant, "Linear and Semi-Assignment Problems: A Core Oriented Approach", Computer Ops Res. 23, 917-932 (1996) [3]

            kandi-support Support

              lap has a low active ecosystem.
              It has 96 star(s) with 26 fork(s). There are 4 watchers for this library.
              It had no major release in the last 12 months.
              There are 10 open issues and 11 have been closed. On average issues are closed in 60 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of lap is 0.4.0

            kandi-Quality Quality

              lap has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 54 code smells.

            kandi-Security Security

              lap has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              lap code analysis shows 0 unresolved vulnerabilities.
              There are 5 security hotspots that need review.

            kandi-License License

              lap is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              lap releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 1430 lines of code, 122 functions and 15 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed lap and discovered the below as its top functions. This is intended to give you an instant insight into lap implemented functionality, and help decide if they suit your requirements.
            • Evaluate the C function
            • Calculate the cost function
            • Calculates the cost of the cost function
            • Calculate hard data
            • Binary search for a given key
            • Setup the package
            • Wrapper function for Cythonize
            • Generate cython
            • Return the current status of numpy
            • Return a Configuration object
            • Evaluate a benchmark
            • Test the CSCY algorithm
            • Test the C_C_c_2_2
            • Test for the MODPY algorithm
            • Test for the C_C_c_c_c_c_1
            • Test the C_C
            • Evaluate the marginal assignment function
            Get all kandi verified functions for this library.

            lap Key Features

            Linear Assignment Problem solver (LAPJV/LAPMOD).

            lap Examples and Code Snippets

            No Code Snippets are available at this moment for lap.

            Community Discussions


            Construct non-overlapping datetime record (start, end datetime) dataframe
            Asked 2022-Mar-22 at 13:56

            I need to create a dataframe removing over-lapping start and end datetimes for multiple ids. I will use the start and end datetimes to aggregate values in a high frequency pandas dataframe, so I need to remove those overlapping datetimes in mst_df.



            Answered 2022-Mar-22 at 13:56

            I don't know if pandas has special function for this. It has Interval.overlaping() to check if two ranges overlaps (and it works even with datetime) but I don't see function to merge these two ranges so it still needs own code for merging. Fortunately it is easy.

            Rows are sorted by start so rows are not overlaping when previous_end < next_start and I use it in for-loop.

            But first I group by site to work with every site separatelly.

            Next I get first row (as previous) and run loop with other rows (as next) and check previous_end < next_start.

            If it is True then I can put previous on list of results and get next as previous to work with rest of rows.

            If it is False then I create new range from both rows and use it to work with rest of rows.

            Finally I add previous to list.

            After processing all groups I convert all to DataFrame.



            ReactJS taking data from API
            Asked 2022-Mar-20 at 04:35
            • Hello guys i don't know how to take data from API.
            • To be more specific, i have a API like this:


            Answered 2022-Mar-20 at 04:35

            Make your state as an array :



            Can I implement this kind of profiling code with a macro?
            Asked 2022-Mar-16 at 21:11

            Not an expert on preprocessor macro tricks, so if the problem here is just that I'm not familiar with some common macro idiom I'd be happy with just a term to Google. X macros are about as far as I've got before and I'm pretty sure I can't do anything with them.

            Right now I do some stuff like this in code:



            Answered 2022-Mar-16 at 21:11

            I am assuming you do not want to have any dynamic memory management involved? Because otherwise you could simply use a std::vector and do a push_back() for each result...

            Otherwise, I do not think this can be achieved easily by just using standard language elements. But MSVC, clang and gcc support __COUNTER__, which is a special macro that is incremented in each use and that can be exploited here. Storing the initial value before the function, then using it in every "LAP", you can compute the number of laps within the function. Moreover, you can declare the result array without needing to specify the first dimension before the function if you use a C-array via extern, and then define it afterwards with the now known number of laps. You can also simply store the __LINE__ result at the same time when you store the __rdtscp() result. See the following example. It is all quite fragile and assumes that the macros are used in that order, but depending on the actual code, it might be sufficient (



            How to save time value in dynamically created li to input box with javascript
            Asked 2022-Mar-05 at 15:41

            How to save a time value in dynamically created li to input box with javascript I have a simple timer, that starts, stops, pauses, takes a time snap and resets the time snap. The timesnap in generated and displayed in the webpage inside a li. It all works fine what I am struggling with is trying to click on a displayed time snap and have the value placed in an input box so I can later save a selected value to a database. This is the script I am using to place the clicked on li item into the input box



            Answered 2022-Feb-18 at 13:46

            So I understand that you need a place value kind of thing.



            Flutter iOS Error Class AMSupportURLConnectionDelegate is implemented in both /usr/lib/libamsupport.dylib (0x203913130)
            Asked 2022-Mar-01 at 05:29

            Hi am facing an issue while running flutter project in MacBook Air M1 chip Lap. Tried all possibilities couldn't find where is the exact problem.

            All basic solutions like flutter clean, flutter pub get, pod deintegrate & install, flutter build ios, flutter run but still same issue. only on iOS simulator not deploying.

            Any solution for this. Thanks in advance.




            Answered 2022-Feb-02 at 04:43

            I have been facing this same issue for some time now. the same setup is working nicely in a mac with intel chip. But i have even done a resetup of my system, m1 mac still throws the same error.



            How to accelerate my written python code: function containing nested functions for classification of points by polygons
            Asked 2022-Feb-12 at 09:11

            I have written the following NumPy code by Python:



            Answered 2021-Dec-28 at 14:11

            First of all, the algorithm can be improved to be much more efficient. Indeed, a polygon can be directly assigned to each point. This is like a classification of points by polygons. Once the classification is done, you can perform one/many reductions by key where the key is the polygon ID.

            This new algorithm consists in:

            • computing all the bounding boxes of the polygons;
            • classifying the points by polygons;
            • performing the reduction by key (where the key is the polygon ID).

            This approach is much more efficient than iterating over all the points for each polygons and filtering the attributes arrays (eg. operate_ and contact_poss). Indeed, a filtering is an expensive operation since it requires the target array (that may not fit in the CPU caches) to be fully read and then written back. Not to mention this operation requires a temporary array to be allocated/deleted if it is not performed in-place and the operation cannot benefit from being implemented with SIMD instructions on most x86/x86-64 platforms (as it requires the new AVX-512 instruction set). It is also harder to parallelize since the filtering steps are too fast for threads to be useful but steps need to be done sequentially.

            Regarding the implementation of the algorithm, Numba can be used to speed up a lot the overall computation. The main benefit of using Numba is to drastically reduce the number of expensive temporary arrays created by Numpy in your current implementation. Note that you can specify the function types to Numba so it can compile functions when it is defined. Assertions can be used to make the code more robust and help the compiler to know the size of a given dimension so to generate a significantly faster code (the JIT compiler of Numba can unroll the loops). Ternaries operators can help a bit the JIT compiler to generate a faster branch-less program.

            Note the classification can be easily parallelized using multiple threads. However, one needs to be very careful about constant propagation since some critical constants (like the shape of the working arrays and assertions) tends not to be propagated to the code executed by threads while the propagation is critical to optimize the hot loops (eg. vectorization, unrolling). Note also that creating of many threads can be expensive on machines with many cores (from 10 ms to 0.1 ms). Thus, this is often better to use a parallel implementation only on big input data.

            Here is the resulting implementation (working with both Python2 and Python3):



            R+Tidyverse: Tibbles don't appear to store milliseconds
            Asked 2022-Feb-11 at 18:59

            I have a CSV with many values. Among them are times stored like this:



            Answered 2022-Feb-11 at 18:59

            Your time format doesn't agree with the time format that readr expects by default. Specifically, readr interprets 1:34.434 as 1 hour and 34 minutes, rather than as 1 minute and 34.434 seconds.



            Memoize multi-dimensional recursive solutions in haskell
            Asked 2022-Jan-13 at 14:28

            I was solving a recursive problem in haskell, although I could get the solution I would like to cache outputs of sub problems since has over lapping sub-problem property.

            The question is, given a grid of dimension n*m, and an integer k, how many ways are there to reach the gird (n, m) from (1, 1) with not more than k change of direction?

            Here is the code without of memoization



            Answered 2021-Dec-16 at 16:23

            In Haskell these kinds of things aren't the most trivial ones, indeed. You would really like to have some in-place mutations going on to save up on memory and time, so I don't see any better way than equipping the frightening ST monad.

            This could be done over various data structures, arrays, vectors, repa tensors. I chose HashTable from hashtables because it is the simplest to use and is performant enough to make sense in my example.

            First of all, introduction:



            Edit part of a Message Embed (Discord.JS)
            Asked 2022-Jan-02 at 01:40

            I have a channel that contains 10 embedded messages (1 embed per message). Each embed is a leaderboard for people's best lap times, by Track.

            The layout of each embed is



            Answered 2021-Sep-08 at 13:10

            You don't necessarily need to create an entirely new embed and input all of the information into it. You could get the current embed from the message, and edit the specific fields you need to edit. Here is an example that you could adapt to work with your system:



            Wrong type casting in FOR-IN loop wrecks seemingly unrelated variable
            Asked 2021-Dec-20 at 21:20

            I am building a simple stopwatch with State widget.

            Initialize variables in State:



            Answered 2021-Dec-20 at 21:20

            when declaring a variable, you must either use Type variableName = value; or var variableName = value (you can also use final variableName = value; or var variableName; and I'm sure some others, but that's not the point).

            when you do for (milliseconds in laps) you neither put the type nor add var or final keyword. This would give you an error if you had not declared the milliseconds variable before, because you have, it just assigns the value of each iteration to said variable, effectively breaking your code.

            It's akin to this example


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


            No vulnerabilities reported

            Install lap

            In addition to above, running the tests requires:.
            Python (2.7, 3.7, 3.8, 3.9)
            NumPy (>=1.10.1)
            SciPy, pytest, pytest-timeout
            Install a C compiler (e.g., g)
            Python headers (e.g., python-dev package on Debian/Ubuntu)
            Install Cython (>=0.21)
            Clone git clone
            Under the root of the repo python build python install


            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
          • PyPI

            pip install lap

          • CLONE
          • HTTPS


          • CLI

            gh repo clone gatagat/lap

          • sshUrl


          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link