streamplify | Java 8 combinatorics-related streams | Functional Programming library

 by   beryx Java Version: 1.1.1 License: Non-SPDX

kandi X-RAY | streamplify Summary

kandi X-RAY | streamplify Summary

streamplify is a Java library typically used in Programming Style, Functional Programming applications. streamplify has no bugs, it has no vulnerabilities, it has build file available and it has low support. However streamplify has a Non-SPDX License. You can download it from GitHub, Maven.

The goal of this library is to provide useful Java 8 streams and to assist you in building new streams that allow efficient parallel processing.
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            kandi-support Support

              streamplify has a low active ecosystem.
              It has 39 star(s) with 12 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 4 have been closed. On average issues are closed in 55 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of streamplify is 1.1.1

            kandi-Quality Quality

              streamplify has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              streamplify has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              streamplify releases are available to install and integrate.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              streamplify saves you 1171 person hours of effort in developing the same functionality from scratch.
              It has 2642 lines of code, 295 functions and 59 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed streamplify and discovered the below as its top functions. This is intended to give you an instant insight into streamplify implemented functionality, and help decide if they suit your requirements.
            • Compute next permutation
            • Extract the current combination
            • Computes the next n elements in the given array
            • Find the next permutation in the array
            • Unrank the combination with the given index
            • Unrank the given combination with the given index
            • Returns the number of permutations of the partial permutation length
            • Compute the factorial
            • Returns a table representation of the solution
            • Appends a line to a StringBuilder
            • Try to split this spliterator into a spliterator
            • Start the benchmark
            • Skips the specified big n
            • Attempts to split this spliterator into a single spliterator
            • Compute the next sequence
            • Start the scene
            • Performs an action for each item in the queue
            • Perform an action on each value
            • Advance to the index
            • Advance to the next value
            • Calculate the factorial
            • Returns a random permutation of the given length
            • Test whether the permens solution is the n queued solution
            • Demonstrates how to do some things
            • Gets the next sequence
            • Calculates the subfactorial
            Get all kandi verified functions for this library.

            streamplify Key Features

            No Key Features are available at this moment for streamplify.

            streamplify Examples and Code Snippets

            Streamplify
            Javadot img1Lines of Code : 14dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            System.out.println(new Permutations(10)
                    .parallelStream()
                    .filter(perm -> {
                        for(int i = 0; i < perm.length - 1; i++) {
                            for(int j = i + 1; j < perm.length; j++) {
                                if(Math.abs(per  

            Community Discussions

            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:

            ...

            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]:

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

            QUESTION

            Haskell comparing two lists' lengths but one of them is infinite?
            Asked 2022-Mar-22 at 20:54

            I want to write a function that checks if the first list is longer than the second list and one of them can be infinite. However I can't find a working solution.

            ...

            ANSWER

            Answered 2022-Mar-22 at 20:54

            Plain old natural numbers will not do the trick, because you can't calculate the natural number length of an infinite list in finite time. However, lazy natural numbers can do it.

            Source https://stackoverflow.com/questions/71565429

            QUESTION

            Why is `forever` in Haskell implemented this way?
            Asked 2022-Feb-05 at 20:34

            Haskell provides a convenient function forever that repeats a monadic effect indefinitely. It can be defined as follows:

            ...

            ANSWER

            Answered 2022-Feb-05 at 20:34

            The execution engine starts off with a pointer to your loop, and lazily expands it as it needs to find out what IO action to execute next. With your definition of forever, here's what a few iterations of the loop like like in terms of "objects stored in memory":

            Source https://stackoverflow.com/questions/70990108

            QUESTION

            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

            ...

            ANSWER

            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:

            Source https://stackoverflow.com/questions/70376569

            QUESTION

            Why is my Haskell function argument required to be of type Bool?
            Asked 2021-Nov-30 at 09:42

            I have a function in Haskell that is defined as follows:

            ...

            ANSWER

            Answered 2021-Nov-30 at 09:42

            Haskell values have types. Each value has a type. One type. It can't be two different types at the same time.

            Thus, since x is returned as the result of if's consequent, the type of the whole if ... then ... else ... expression is the same as x's type.

            An if expression has a type. Thus both its consequent and alternative expression must have that same type, since either of them can be returned, depending on the value of the test. Thus both must have the same type.

            Since x is also used in the test, it must be Bool. Then so must be y.

            Source https://stackoverflow.com/questions/70053894

            QUESTION

            Vector of functions in APL
            Asked 2021-Nov-30 at 09:31

            What is the syntax for a vector (array) of functions in APL?

            I have tried the following but these are interpreted as a 3-train and a 2-train, respectively:

            ...

            ANSWER

            Answered 2021-Nov-28 at 23:26

            Dyalog APL does not officially support function arrays, you can awkwardly emulate them by creating an array of namespaces with identically named functions.

            Source https://stackoverflow.com/questions/70148229

            QUESTION

            What's the theoretical loophole that allows F# (or any functional language) to apply a function mulitple times on the same input
            Asked 2021-Nov-17 at 06:29

            In F# if I write

            ...

            ANSWER

            Answered 2021-Nov-17 at 01:24

            To expand on the answer given in the comments, the first p is an immutable value, while the second p is a function. If you refer to an immutable value multiple times, then (obviously) its value doesn't change over time. But if you invoke a function multiple times, it executes each time, even if the arguments are the same each time.

            Note that this is true even for pure functional languages, such as Haskell. If you want to avoid this execution cost, there's a specific technique called memoization that can be used to return cached results when the same inputs occur again. However, memoization has its own costs, and I'm not aware of any mainstream functional language that automatically memoizes all function calls.

            Source https://stackoverflow.com/questions/69997578

            QUESTION

            Is Control.Monad.Reader.withReader actually Data.Functor.Contravariant.contramap?
            Asked 2021-Nov-03 at 06:39

            I'm working trough the book Haskell in depth and I noticed following code example:

            ...

            ANSWER

            Answered 2021-Nov-03 at 06:39

            Reader's type parameters aren't in the right order for that to be contramap for it. A Contravariant functor always needs to be contravariant in its last type parameter, but Reader is contravariant in its first type parameter. But you can do this:

            Source https://stackoverflow.com/questions/69817514

            QUESTION

            Confused about evaluation of lazy sequences
            Asked 2021-Oct-20 at 15:49

            I am experimenting with clojure's lazy sequences. In order to see when the evaluation of an item would occur, I created a function called square that prints the result before returning it. I then apply this function to a vector using map.

            ...

            ANSWER

            Answered 2021-Oct-20 at 15:49

            Laziness isn't all-or-nothing, but some implementations of seq operate on 'chunks' of the input sequence (see here for an explanation). This is the case for vector which you can test for with chunked-seq?:

            Source https://stackoverflow.com/questions/69648554

            QUESTION

            What is the relation between syntax sugar, laziness and list elements accessed by index in Haskell?
            Asked 2021-Aug-30 at 04:46

            Haskell lists are constructed by a sequence of calls to cons, after desugaring syntax:

            ...

            ANSWER

            Answered 2021-Aug-30 at 04:46

            Lists in Haskell are special in syntax, but not fundamentally.

            Fundamentally, Haskell list is defined like this:

            Source https://stackoverflow.com/questions/68978811

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

            Vulnerabilities

            No vulnerabilities reported

            Install streamplify

            You can download it from GitHub, Maven.
            You can use streamplify 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 streamplify 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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          • HTTPS

            https://github.com/beryx/streamplify.git

          • CLI

            gh repo clone beryx/streamplify

          • sshUrl

            git@github.com:beryx/streamplify.git

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