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algorithmic-cliches | a collection of algorithmic clichés | Functional Programming library

 by   dennisppaul Java Version: v0.1 License: LGPL-2.1

 by   dennisppaul Java Version: v0.1 License: LGPL-2.1

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kandi X-RAY | algorithmic-cliches Summary

algorithmic-cliches is a Java library typically used in Programming Style, Functional Programming applications. algorithmic-cliches has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However algorithmic-cliches build file is not available. You can download it from GitHub.
algorithmic clichés are a collection of algorithmic clichés and examples. "A cliché […] is an expression, idea, or element of an artistic work that has become overused to the point of losing its original meaning or effect, even to the point of being trite or irritating, especially when at some earlier time it was considered meaningful or novel.[1]" from Wikipedia(EN) Cliché. despite todays negative connotation of the term cliché this collection tries to advertise the intrinsic beauty of the collected examples, demistifying their technical complexity by making them accessible as open source code, and thereby encouraging the intelligent, interesting, and relevant use of these clichés, quite aware of the ambiguous endeavor. yours faithfully Cliche Review Board (CRB).
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kandi-support Support

  • algorithmic-cliches has a low active ecosystem.
  • It has 17 star(s) with 6 fork(s). There are 10 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 4 open issues and 0 have been closed. On average issues are closed in 116 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of algorithmic-cliches is v0.1
algorithmic-cliches Support
Best in #Functional Programming
Average in #Functional Programming
algorithmic-cliches Support
Best in #Functional Programming
Average in #Functional Programming

quality kandi Quality

  • algorithmic-cliches has 0 bugs and 0 code smells.
algorithmic-cliches Quality
Best in #Functional Programming
Average in #Functional Programming
algorithmic-cliches Quality
Best in #Functional Programming
Average in #Functional Programming

securitySecurity

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

license License

  • algorithmic-cliches is licensed under the LGPL-2.1 License. This license is Weak Copyleft.
  • Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
algorithmic-cliches License
Best in #Functional Programming
Average in #Functional Programming
algorithmic-cliches License
Best in #Functional Programming
Average in #Functional Programming

buildReuse

  • algorithmic-cliches releases are available to install and integrate.
  • algorithmic-cliches has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions are available. Examples and code snippets are not available.
algorithmic-cliches Reuse
Best in #Functional Programming
Average in #Functional Programming
algorithmic-cliches Reuse
Best in #Functional Programming
Average in #Functional Programming
Top functions reviewed by kandi - BETA

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

  • Takes an array of vertices and returns a list of all vertices in sorted order .
    • Parses the results of a region .
      • Adds a cube to the surface .
        • Draw the background
          • Determine the bounds of the specified LB vertex .
            • Calculate the advectors .
              • Extract blob from a list of lines
                • Draw a rectangle around the triangle .
                  • Add a vertex to the hull
                    • Calculates the velocity for the given delta .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      algorithmic-cliches Key Features

                      a collection of algorithmic clichés

                      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 algorithmic-cliches

                      download lastest release algorithmiccliches.zip
                      unpack algorithmiccliches.zip in processing library folder ( e.g $HOME/Documents/Processing/libraries on MacOS )
                      install qhull on macOS qhull is available via Homebrew install with $ brew install qhull
                      run examples

                      Support

                      suggestions for algorithmic clichés can be contributed via issues tracking and will be reviewed by the CRB.

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