Results for barriers

Python decorators for including/excluding type checks, value/bounds checks, and other code blocks within the compiled bytecode of functions and methods.

A barrier spin lock implementation

Asymmetric Heavy-Light memory barriers for Single-Writer Multi-Reader (SWMR) scenarios, optimized for zero-cost readers.

Process-wide memory barrier

Process-wide memory barrier for Linux, Windows, OSX, FreeBSD, Android, iOS and more.

Counter-based thread barrier

A Rust library providing abstractions for Large Language Models

A Rust library providing abstractions for Large Language Models

A barrier for blocking a main thread until the completion of work which has been offloaded to worker threads, without blocking the worker threads.

Fixed-point financial math for Solana. Black-Scholes, Greeks, IV, NIG pricing, pool math — pure integer arithmetic, no_std, zero dependencies.

A garbage-collected smart pointer with automatic cycle detection using BiBOP memory layout and Mark-Sweep collection

Cross-architecture, no-std memory barriers.

Barrier with adaptable number of thread subsciptions

A synchronization barrier enables multiple threads to wait until all threads have all reached a particular point of execution before any thread continues.

Vanilla brings Markdown like features to LATEX

shubox lowers the barrier to entry for test-driven learning by providing a basic infrastructure in which to start coding: A directory structure, some classes and unit tests to get started, and a build script.

Ripplr provides a lower barrier to entry for developers wishing to migrate to Riak. Ripplr focuses on enhancing the use of the Ripple Gem by adding Riak Search functionality to your objects.

Extraction of cucumber helpers for running binaries that I wind up writing ad-hoc for many projects. It is minimal which lowers the barrier for entry, making it easy to understand/extend.If you need something more powerful, there is Aruba.

mais-access provides a simple yet secure HTTP(S) authentication barrier for applications developed within the MAIS system. After initial connection, sessions for authenticated clients are validated by JSON Web Tokens for reduced overhead and improved security.

Test-driven learning is a way to master a programming language by writing unit tests around its API's. tbox lowers the barrier to entry for test-driven learning by providing a basic infrastructure in which to start coding: A directory structure, some classes and unit tests to get started, and a build script.

DispatchQueueRb is a pure ruby implementation of Grand Central Dispatch concurrency primitives. It implements serial and concurrent queues, with synchronous, asynchronous, barrier and delayed dispatch methods. All queues dispatch methods support an optional dispatch groups to synchronize on completion of a group of tasks. It also provides a thread pool based concurrent queue, scaled to the number of available cpu cores, and used by default to schedule the actual work.

Javonet allows you to reference and use modules or packages written in (Java/Kotlin/Groovy/Clojure, C#/VB.NET, Ruby, Perl, Python, JavaScript/TypeScript) like they were created in your technology. It works on Linux/Windows and MacOS for applications created in JVM, CLR/Netcore, Perl, Python, Ruby, NodeJS, C++ or GoLang and gives you unparalleled freedom and flexibility with native performance in building your mixed-technologies products. Let it be accessing best AI or cryptography libraries, devices SDKs, legacy client modules, internal custom packages or anything from public repositories available on NPM, Nuget, PyPI, Maven/Gradle, RubyGems or GitHub. Get free from programming languages barriers today! For more information check out our guides at https://www.javonet.com/guides/v2/

Hypertube allows you to reference and use modules or packages written in (Java/Kotlin/Groovy/Clojure, C#/VB.NET, Ruby, Perl, Python, JavaScript/TypeScript) like they were created in your technology. It works on Linux/Windows and MacOS for applications created in JVM, CLR/Netcore, Perl, Python, Ruby, NodeJS, C++ or GoLang and gives you unparalleled freedom and flexibility with native performance in building your mixed-technologies products. Let it be accessing best AI or cryptography libraries, devices SDKs, legacy client modules, internal custom packages or anything from public repositories available on NPM, Nuget, PyPI, Maven/Gradle, RubyGems or GitHub. Get free from programming languages barriers today! For more information check out our guides at https://www.hypertube.dev/guides/v2/

The Programming Exercise Markup Language (PEML) is intended to be a simple, easy format for CS and IT instructors of all kinds (college, community college, high school, whatever) to describe programming assignments and activities. We want it to be so easy (and obvious) to use that instructors won't see it as a technological or notational barrier to expressing their assignments. We intend for this format to be something that authors of automated grading tools can adopt, so they can provide a very easy, low-energy onboarding path for existing instructors to get programming activities into such tools. As a result, this notation leans heavily on supporting authors and streamlining common cases, even if this may require more work on the part of tool developers--the goal is to make it super easy for authors of programming activities, not to fit into a specific auto-grader or simplify tasks for tool writers. For more details, see the PEML website.

Test-driven learning is a way to master a programming language by writing unit tests around its API's. shubox lowers the barrier to entry for test-driven learning by providing a basic infrastructure in which to start coding: A directory structure, some classes and unit tests to get started, and a build script. shubox currently creates environments for Ruby and Java, but can easily be extended to any language that lends itself to unit testing. shubox is built on newgem, so extending the framework is as simple as creating new generator scripts. After installing shubox and generating a testing environment, you'll start off with some passing tests that exercise parts of the language's API. Write new learning tests, naming each method with the intent of the lesson, then write the code that makes a test pass. Can you complete the lesson again from memory? If not, you may need to study the concept more closely and implement the tests again. According to {a paper by Karpicke and Roediger}[http://psych.wustl.edu/memory/Roddy%20article%20PDF's/Karpicke_Roediger_2008_Science.pdf], "repeated retrieval practice led to greater than 150% improvements in long-term retention than studying alone. ...Although educators and psychologists often consider testing a neutral process that merely assesses the contents of memory, practicing retrieval during tests clearly produces more learning than additional encoding or study once an item has been recalled." shubox makes repeated testing easy by providing built-in test cleaners that delete your test implementations, while keeping comments and test names to express the intent of the test.

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