Auto transform require to require default in Babel 6/7
A node require hook for running browserify transforms
Do not transform require calls in your code if they are dynamic
A [Babel](http://babeljs.io) plugin that transforms [webpack](https://webpack.js.org/)-specific `require.context()` into dummy function calls so that the code can run safely outside of the webpack environment, e.g. in Node. It doesn't perform any file l
ignore the required file by extension type
transform require into import
A babel plugin to turn ES5 require call to ES6/7
parse the ast and transform require() calls
```javascript const transform = require('@maxdome/transform-mam-schema');
transform require('text!pathtoTextFile') to brfs compatible calls
Parse postgres array columns
Install a transform to `require.extensions` that always runs last, even if additional extensions are added later.
Babel transform for Flow Enums.
Explode async and generator functions into a state machine.
This plugin transforms ES2015 modules to CommonJS
Compile regular expressions using named groups to ES5.
Transform import() expressions
This plugin transforms ES2015 modules to UMD
Compile ES2015 for...of to ES5
Compile object rest and spread to ES5
Compile objects with duplicate keys to valid strict ES5
Apply ES2015 function.name semantics to all functions
Transform optional chaining operators into a series of nil checks
Compile ES2015 block scoping (const and let) to ES5
Ease the pain from manually requiring all fields in a JSON Schema when no required field list is specified
An asciidoctor extension that transforms a yaml block in a formatted requirement.
Binary Transformer plugin for jpeg optim. Requires jpeg optim to be available via the PATH variable globally
I had a lot of XML transformation to do and the requirements kept changing, so I sat down and wrote something that was easy to modify.
I had a lot of XML transformation to do and the requirements kept changing, so I sat down and wrote something that was easy to modify.
Stylicon is a tool that takes SVG files and a YAML config to generate optimized CSS classes with embedded base64 icons. Ideal for rendering scalable, cacheable icons without bloating HTML or requiring runtime transformations.
funit is a unit testing framework for Fortran. Unit tests are written as Fortran fragments that use a small set of testing-specific keywords and functions. funit transforms these fragments into valid Fortran code, compiles, links, and runs them against the code under test. funit is {opinionated software}[http://www.oreillynet.com/pub/a/network/2005/08/30/ruby-rails-david-heinemeier-hansson.html], which values convention over configuration. Specifically, funit requires, * a Fortran 95 compiler, * tests to be stored along side the code under test, and * test files to be named appropriately.
This is one implementation of the [Builder Pattern](https://en.wikipedia.org/wiki/Builder_pattern) in the Ruby programming language. This is primarily used for composing objects to transport a set of data to a receiver with a specific payload. The advantage of using a builder over a plain Hash is using explicit methods to set required fields, and getting a common way to present your data to the receiver. By default, `.build` will transform your data into a hash, but you can override this method to create your preferred format.
Paperclip is intended as an easy file attachment library for ActiveRecord. The intent behind it was to keep setup as easy as possible and to treat files as much like other attributes as possible. This means they aren't saved to their final locations on disk, nor are they deleted if set to nil, until ActiveRecord::Base#save is called. It manages validations based on size and presence, if required. It can transform its assigned image into thumbnails if needed, and the prerequisites are as simple as installing ImageMagick (which, for most modern Unix-based systems, is as easy as installing the right packages). Attached files are saved to the filesystem and referenced in the browser by an easily understandable specification, which has sensible and useful defaults.
FUnit is a unit testing framework for Fortran. Unit tests are written as Fortran fragments that use a small set of testing-specific keywords and functions. FUnit transforms these fragments into valid Fortran code, compiles, links, and runs them against the code under test. FUnit is {opinionated software}[http://www.oreillynet.com/pub/a/network/2005/08/30/ruby-rails-david-heinemeier-hansson.html], which values convention over configuration. Specifically, FUnit requires, * a Fortran 95 compiler, * tests to be stored along side the code under test, and * test files to be named appropriately. (Note: this has been forked from the original funit gem, due to issues with access to original gem)
== Synopsys Class-level configuration DSL == Installation gem install config_accessor == Examples require 'config_accessor' class Remote configurable! config_accessor :host, :default => "localhost" config_accessor :port, :default => "80", :transform => :to_i config_accessor :proxy_host, :proxy_port end class Local < Remote config_accessor :l_port end Remote.host # => "localhost" Remote.port # => 80 Remote.proxy_host # => nil r = Remote.new r.port = "81" r.port # => 81 Remote.port # => 80 Remote.port = 82 # next expressions are equivalent r.port # => 81 r.config[:port] # => 81 r.config["port"] # => 81 r.config.port # => 81 # It supports inheritance, subclasses cannot change superclasses configurations Local.port # => 80 # You can do it with +configure+ method Local.configure do port 81 end # or Local.configure do |config| config.port 81 end
Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.
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