Search Results for "dynamic simulation"

Gatling is a high-performance load testing tool built on the JVM that emphasizes realism, scalability, and developer ergonomics. Test scenarios are scripted in a concise Scala-based DSL, allowing you to model user journeys with think times, feeders (dynamic data), checks, and assertions all in code. Its asynchronous, non-blocking engine (backed by Netty) can drive very high concurrency from a single injector, reducing the need for large injector farms. Gatling supports HTTP out of the box as...

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing.

...It allows developers to write tests that drive browsers, checking for expected content, links, buttons, and form interactions. Capybara integrates with drivers like Selenium, Rack::Test, and headless browsers such as Cuprite or WebKit, letting tests run in real browsers or lightweight simulation environments. Its DSL emphasizes natural language-like syntax, such as visit, click_button, and fill_in, which makes tests readable and expressive. Capybara also handles asynchronous JavaScript and dynamic content, waiting for elements to appear or actions to complete before assertions run. By bridging test suites with actual browser behavior, Capybara helps ensure that web apps behave correctly from a user’s perspective.

A parallel system simulator kernel that support ultra-large scale computer system simulation.