Search Results for "php directory script"

...If you don't use a module bundler, clone the repository, run npm install and grab a file from /dist directory to use inside a script tag. This makes SQL Formatter available as a global variable window.sqlFormatter.

imagefap-dl is a command-line downloader designed to automate the retrieval of galleries and media from ImageFap, focusing on efficiency, reliability, and structured output. The tool enables users to download entire galleries or specific content collections by parsing URLs and systematically fetching associated media files. It is optimized for batch downloading scenarios, allowing users to archive large sets of images with minimal manual intervention. The program typically includes...

...Check out the developer documentation for more information on that. The current major version of the script is 4.x, which was a big change over earlier releases. Earlier versions were written in PHP and MYSQL and 3.x offered a REST API to let you generate the data programmatically rather than via an API. While this is still planned for 4.x it's not currently offered, and the plan it to tackle that after making the script available as an npm package - which we feel will be a more convenient way to programmatically generate data over the more agnostic REST approach.

Zero-dependency, a build-free framework for the artisanal web. Strawberry is a tiny front-end framework that gives you reactivity and composability. It does this with zero dependencies, without a build step, and it fits in less than 4KB when gzipped.

...To find out about APIs for models, look at the README in each of the respective directories. In general, we try to hide tensors so the API can be used by non-machine learning experts. New models should have a test NPM script. You can run the unit tests for any of the models by running "yarn test" inside a directory. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Build and train models directly in JavaScript using flexible and intuitive APIs. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.

A VS Code extension to debug your JavaScript code in the Google Chrome browser, or other targets that support the Chrome DevTools Protocol. When your launch config is set up, you can debug your project. Pick a launch config from the dropdown on the Debug pane in Code. Press the play button or F5 to start. The extension operates in two modes - it can launch an instance of Chrome navigated to your app, or it can attach to a running instance of Chrome. Both modes require you to be serving your...