Search Results for "events"

Headless Chromium-based modular web performance metrics collector. Modular approach, each metric is generated by a separate "module". phantomas "core" acts as an events emitter that each module can hook into. In-depth metrics such as: number of events bound via jQuery, calls to window.writeor complex and duplicated CSS selectors (via analyze-css). JSON as an output format. Easy integration with other nodejs projects via CommonJS module (see API docs). Metrics can be emitted from the JavaScript code of the page phantomas is run against (thanks to helper functions available in window....

...The same rendering engine works on your Desktop and in the Cloud. Auto-wait. Playwright waits for elements to be actionable prior to performing actions. It also has a rich set of introspection events. The combination of the two eliminates the need for artificial timeouts - the primary cause of flaky tests.

...Playwright interactions auto-wait for elements to be ready. This improves reliability and simplifies test authoring. Playwright receives browser signals, like network requests, page navigations and page load events to eliminate the need for sleep timeouts that cause flakiness.

...It is most frequently used for database benchmarks, but can also be used to create arbitrarily complex workloads that do not involve a database server. extensive statistics about rate and latency is available, including latency percentiles and histograms. Low overhead even with thousands of concurrent threads. sysbench is capable of generating and tracking hundreds of millions of events per second. New benchmarks can be easily created by implementing pre-defined hooks in user-provided Lua scripts. Can be used as a general-purpose Lua interpreter as well, simply replace #!/usr/bin/lua with #!/usr/bin/sysbench in your script. Execute events for this many seconds with statistics disabled before the actual benchmark run with statistics enabled. ...

...The F2008 standard provides coarray syntax, remote calls, coarray data objects, allocatable coarrays, syncronisation, atomics, etc. F2018 adds new functionality, e.g. collectives, teams, events, more atomics. Coarrays are used extensively in CASUP library for HPC (https://cgpack.sourceforge.io). The course is aimed at experienced Fortran users. Working knowledge of Fortran is assumed. The course is designed for a 1 day study with an instructor. Multiple exercises with full solutions are accompanied by notes. This course is taught to the University of Bristol HPC users. ...

...You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format.