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CompactCollections | fast collections for primitive types | Functional Programming library

 by   gratianlup Java Version: Current License: MIT

 by   gratianlup Java Version: Current License: MIT

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kandi X-RAY | CompactCollections Summary

CompactCollections is a Java library typically used in Programming Style, Functional Programming applications. CompactCollections has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However CompactCollections build file is not available. You can download it from GitHub.
Compact and fast collections optimized for primitive types, implemented in Java. On average they use 4-5 times less memory than the default implementations from java.util, while being faster to build and query (mostly due to a better utilization of the memory and cache subsystems).
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • CompactCollections has a low active ecosystem.
  • It has 24 star(s) with 0 fork(s). There are 3 watchers for this library.
  • It had no major release in the last 12 months.
  • CompactCollections has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of CompactCollections is current.
CompactCollections Support
Best in #Functional Programming
Average in #Functional Programming
CompactCollections Support
Best in #Functional Programming
Average in #Functional Programming

quality kandi Quality

  • CompactCollections has 0 bugs and 0 code smells.
CompactCollections Quality
Best in #Functional Programming
Average in #Functional Programming
CompactCollections Quality
Best in #Functional Programming
Average in #Functional Programming

securitySecurity

  • CompactCollections has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • CompactCollections code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
CompactCollections Security
Best in #Functional Programming
Average in #Functional Programming
CompactCollections Security
Best in #Functional Programming
Average in #Functional Programming

license License

  • CompactCollections is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
CompactCollections License
Best in #Functional Programming
Average in #Functional Programming
CompactCollections License
Best in #Functional Programming
Average in #Functional Programming

buildReuse

  • CompactCollections releases are not available. You will need to build from source code and install.
  • CompactCollections has no build file. You will be need to create the build yourself to build the component from source.
  • CompactCollections saves you 954 person hours of effort in developing the same functionality from scratch.
  • It has 2174 lines of code, 269 functions and 14 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
CompactCollections Reuse
Best in #Functional Programming
Average in #Functional Programming
CompactCollections Reuse
Best in #Functional Programming
Average in #Functional Programming
Top functions reviewed by kandi - BETA

kandi has reviewed CompactCollections and discovered the below as its top functions. This is intended to give you an instant insight into CompactCollections implemented functionality, and help decide if they suit your requirements.

  • Returns the value at the given index .
    • Searches for a range containing the specified index .
      • Sets the value at the given index .
        • Resizes the table .
          • Associates the specified key with the specified key .
            • Associates the specified value for the specified key .
              • Returns an immutable copy of the entry set .
                • Finds the next range in the given range .
                  • Returns the index of the bucket associated with the given key .
                    • Get the integer value .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      CompactCollections Key Features

                      VariableIntArray: compact variable-length integer array (1/4 bytes) using [Group Variant Encoding](http://www.stanford.edu/class/cs276/Jeff-Dean-compression-slides.pdf) and [Delta Encoding](http://en.wikipedia.org/wiki/Delta_encoding), provides fast query at random positions and support for value updating and caching.

                      SparseBitSet: a sparse representation of a bit array, provides fast query at random positions.

                      IntHashMap: maps Integer → Integer.

                      IntObjectHashMap: maps Integer → Object.

                      IntPairHashMap: maps Integer x Integer → Integer.

                      IntPairObjectHashMap: maps Integer x Integer → Object.

                      VariableIntHashMap: maps Integer → Integer, uses variable-length integers for the values. Requires about 20% less memory than IntHashMap, but has slower query time.

                      VariableIntPairHashMap: maps Integer x Integer → Integer, uses variable-length integers for the keys and values. Requires about 35% less memory than IntPairHashMap, but has slower query time.

                      None of the collections implement the remove operation. It can be done, but it would not be very efficient, and for my use case it was not required.

                      VariableIntArray does not implement insertions at random positions.

                      CompactCollections Examples and Code Snippets

                      No Code Snippets are available at this moment for CompactCollections.

                      See all Code Snippets related to Functional Programming

                      Community Discussions

                      Trending Discussions on Functional Programming
                      • How do purely functional languages handle index-based algorithms?
                      • Haskell comparing two lists' lengths but one of them is infinite?
                      • Why is `forever` in Haskell implemented this way?
                      • Memoize multi-dimensional recursive solutions in haskell
                      • Why is my Haskell function argument required to be of type Bool?
                      • Vector of functions in APL
                      • What's the theoretical loophole that allows F# (or any functional language) to apply a function mulitple times on the same input
                      • Is Control.Monad.Reader.withReader actually Data.Functor.Contravariant.contramap?
                      • Confused about evaluation of lazy sequences
                      • What is the relation between syntax sugar, laziness and list elements accessed by index in Haskell?
                      Trending Discussions on Functional Programming

                      QUESTION

                      How do purely functional languages handle index-based algorithms?

                      Asked 2022-Apr-05 at 12:51

                      I have been trying to learn about functional programming, but I still struggle with thinking like a functional programmer. One such hangup is how one would implement index-heavy operations which rely strongly on loops/order-of-execution.

                      For example, consider the following Java code:

                      public class Main {
                          public static void main(String[] args) {
                              List<Integer> nums = Arrays.asList(1,2,3,4,5,6,7,8,9);
                              System.out.println("Nums:\t"+ nums);
                              System.out.println("Prefix:\t"+prefixList(nums));
                          }
                        
                          private static List<Integer> prefixList(List<Integer> nums){
                            List<Integer> prefix = new ArrayList<>(nums);
                            for(int i = 1; i < prefix.size(); ++i)
                              prefix.set(i, prefix.get(i) + prefix.get(i-1));
                            return prefix;
                          }
                      }
                      /*
                      System.out: 
                      Nums:   [1, 2, 3, 4, 5, 6, 7, 8, 9]
                      Prefix: [1, 3, 6, 10, 15, 21, 28, 36, 45]
                      */
                      

                      Here, in the prefixList function, the nums list is first cloned, but then there is the iterative operation performed on it, where the value on index i relies on index i-1 (i.e. order of execution is required). Then this value is returned.

                      What would this look like in a functional language (Haskell, Lisp, etc.)? I have been learning about monads and think they may be relevant here, but my understanding is still not great.

                      ANSWER

                      Answered 2022-Mar-07 at 21:17

                      This is not an index-heavy operation, in fact you can do this with a one-liner with scanl1 :: (a -> a -> a) -> [a] -> [a]:

                      prefixList = scanl1 (+)
                      

                      indeed, for the list of Nums, we get:

                      Prelude> prefixList [1 .. 9]
                      [1,3,6,10,15,21,28,36,45]
                      

                      scanl1 takes the first item of the original list as initial value for the accumulator, and yields that. Then each time it takes the accumulator and the next item of the given list, and sums these up as new accumulator, and yields the new accumulator value.

                      Often one does not need indexing, but enumerating over the list is sufficient. Imperative programming languages often work with for loops with indexes, but in many cases these can be replaced by foreach loops that thus do not take the index into account. In Haskell this also often helps to make algorithms more lazy.

                      If you really need random access lookups, you can work with data structures such as defined in the array and vector packages.

                      Source https://stackoverflow.com/questions/71387267

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install CompactCollections

                      You can download it from GitHub.
                      You can use CompactCollections like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the CompactCollections component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                      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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