Okasaki | Functional data structures in C | Functional Programming library

by BartoszMilewski C++ Version: Current License: Unlicense

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | Okasaki Summary

Okasaki is a C++ library typically used in Programming Style, Functional Programming applications. Okasaki has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Functional data structures in C++.

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Quality

Security

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Okasaki has a low active ecosystem.

It has 485 star(s) with 76 fork(s). There are 43 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Okasaki is current.

Quality

Okasaki has no bugs reported.

Security

Okasaki has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Okasaki is licensed under the Unlicense License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Okasaki releases are not available. You will need to build from source code and install.

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Okasaki Key Features

No Key Features are available at this moment for Okasaki.

Okasaki Examples and Code Snippets

No Code Snippets are available at this moment for Okasaki.

Community Discussions

Trending Discussions on Okasaki

Which priority queue is faster in practice?

Achieving laziness and memoization

Implementing Standard ML signatures in F# / .NET

Stack overflow when constructing/evaluating a red black tree in Haskell

QUESTION

Which priority queue is faster in practice?

Asked 2020-Feb-11 at 18:28

Most used operation: FindMin. Less commonly: Insert and ExtractMin. Rarely: DeleteNode. Very rare: Merge.

Which of the following priority queues is faster in practical terms, under the listed conditions?

Naive implementation based on sorted doubly linked list
Simple heap
Leftist heap
Binomial heap
Fibonacci heap
2-3 heap
Pairing heap
Thin heap
Thick heap
Skew Binomial Heap
Brodal-Okasaki queue

...

ANSWER

Answered 2020-Feb-11 at 18:28

My experience, based on work I did more than five years ago, is that a 3-heap outperforms a binary heap in the general case. Skip list heaps and pairing heaps slightly outperform a 3-heap, but at a higher memory cost. All three of the above outperformed Fibonacci heap.

Brodal queue is theoretically the most efficient. But, as Brodal himself said, they are "quite complicated" and "[not] applicable in practice." https://en.wikipedia.org/wiki/Brodal_queue

A lot of people talk about Fibonacci heap efficiency, and asymptotic analysis says that it should outperform other types of heaps. Empirical data tends not to bear that out. There are definite disadvantages of Fibonacci heap, as described in https://en.wikipedia.org/wiki/Fibonacci_heap#Worst_case.

If you're looking to implement a heap, I'd suggest starting with a binary heap. Or a 3-heap, which is a simple optimization. My next step, if I needed more performance, would be the Pairing Heap. It's easy to implement and quite efficient.

Beyond that, I don't have any advice. The performance numbers I've seen on the other types of heaps don't show a clear winner.

Source https://stackoverflow.com/questions/60117309

QUESTION

Achieving laziness and memoization

Asked 2020-Jan-20 at 09:53

Laziness is a corner stone in the book Purely Functional Data Structures, but it is not clearly described how he obtains it, at least to me. I thought I only needed to write:

...

ANSWER

Answered 2020-Jan-20 at 09:53

You need to enable laziness and add some parentheses (the $ in the book has peculiar parsing rules):

Source https://stackoverflow.com/questions/59788848

QUESTION

Implementing Standard ML signatures in F# / .NET

Asked 2019-Aug-12 at 23:35

(Questions are at the bottom in bold.)

I'm going through Chris Okasaki's Purely Functional Data Structures and I was attempting to translate the first data structure and its implementations from Standard ML to F#. The ML is as follows (translated from the book):

...

ANSWER

Answered 2019-Aug-12 at 23:35

1. Is there any way to make use of this in the .NET ecosystem, to have just a pure type like this, practical or not? Also, is this considered some sort of bug to be able to create a non-implementable datatype?

What you have implemented compiles, but it's most certainly not what you intended to implement. It's only syntactically similar - what you're using is something called explicit class syntax, and your STACK type is a class ostensibly without a public constructor with a bunch of getter-only properties.

This is something you can check yourself through the reflection API. If you're using this code in FSI, you may find that a constructor is generated for that type anyway, and you can use Activator.Create to instantiate it - you'll see the properties all having the default null values.

Source https://stackoverflow.com/questions/57455136

QUESTION

Stack overflow when constructing/evaluating a red black tree in Haskell

Asked 2019-Jan-01 at 15:04

I have the following Red Black tree:

...

ANSWER

Answered 2019-Jan-01 at 14:51

The first example of insertion code has a bug: it tries to insert the tree itself as an element.

The second version

Source https://stackoverflow.com/questions/53995686

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

Vulnerabilities

No vulnerabilities reported

Install Okasaki

You can download it from GitHub.

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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