Use head.js's script loader like require.js
Find URLs, email addresses, #hashtags and @mentions in plain-text strings, then convert them into HTML <a> links.
A querystring parser that supports nesting and arrays, with a depth limit
All essential TypeScript types in one place
A super light and fast circular JSON parser.
A simple cache for a few of the JS Error constructors.
Monkey patches for file system related things.
ES Object-related atoms: Object, ToObject, RequireObjectCoercible
Keep require and import consistent after bundling or transpiling
Ultra-fast MessagePack implementation with extensions for records and structured cloning
Get and robustly cache all JS language-level intrinsics at first require time
A JavaScript implementation of many web standards
If available, the `Object.prototype.__proto__` accessor and mutator, call-bound
Retry a request.
ECMAScript “ToPrimitive” algorithm. Provides ES5 and ES2015 versions.
Robustly `.call.bind()` a function
A pure JS HTTP parser for node.
easy to use progress-bar for command-line/terminal applications
OpenTelemetry instrumentation for `@hapi/hapi` http web application framework
OpenTelemetry instrumentation for `node:dns` name resolution module
Determine if the JS environment has `Symbol.toStringTag` support. Supports spec, or shams.
Lightweight debugging utility for Node.js and the browser
A polyfill for the internal diagnostics_channel module
JSON Schema validation for Human
Hydra-Head is a Rails Engine containing the core code for a Hydra application. The full hydra stack includes: Blacklight, Fedora, Solr, active-fedora, solrizer, and om
Hydra-File-Access is a plugin Rails Engine containing the code for manipulating files in a Hydra application. The full hydra stack includes: Blacklight, Fedora, Solr, active-fedora, solrizer, and om
Basic support for things like finding media, media sets (AKA categories), and fetching reports. Documentation is...well...missing so far.
The New Relic Ruby agent requires the gem newrelic_rpm, and it includes distributed tracing that uses head-based sampling (standard distributed tracing). If you want distributed tracing to use tail-based sampling (Infinite Tracing), you need to add both newrelic_rpm and newrelic-infinite_tracing to your application's Gemfile. For more information, see: https://docs.newrelic.com/docs/understand-dependencies/distributed-tracing/get-started/introduction-distributed-tracing New Relic is a performance management system, developed by New Relic, Inc (http://www.newrelic.com). New Relic provides you with deep information about the performance of your web application as it runs in production. The New Relic Ruby agent is dual-purposed as a either a Gem or plugin, hosted on https://github.com/newrelic/newrelic-ruby-agent/
# Rack::ReadOnly This gem allows Rack based APIs to be set to read only. At the most basic it can be used like this from your `config.ru`: ```ruby require 'rack/read_only' use Rack::ReadOnly, { active: ENV["READ_ONLY"] == "1", response_body: '{ "error": "This API is currently in read only mode." }' } run MyApp ``` When in read only mode the API will continue to respond to GET, HEAD, and OPTIONS requests as normal, but reject POST, PUT, DELETE, and PATCH requests with the body specified, and a 503 error code. ## Installation Add this line to your application's Gemfile: ```ruby gem 'rack-read_only' ``` And then execute: $ bundle Or install it yourself as: $ gem install rack-read_only ## Development After checking out the repo, run `bin/setup` to install dependencies. To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release` to create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org). ## Contributing 1. Fork it ( https://github.com/jellybob/rack-read_only/fork ) 2. Create your feature branch (`git checkout -b my-new-feature`) 3. Commit your changes (`git commit -am 'Add some feature'`) 4. Push to the branch (`git push origin my-new-feature`) 5. Create a new Pull Request Any new builds should pass the tests on [Travis](https://travis-ci.org/jellybob/rack-read_only)
Multimodal systems realizing a combination of speech, gesture and graphical-driven interaction are getting part of our everyday life. Examples are in-car assistance systems or recent game consoles. Future interaction will be embedded into smart environments offering the user to choose and to combine a heterogeneous set of interaction devices and modalities based on his preferences realizing an ubiquitous and multimodal access. This framework enables the modeling and execution of multimodal interaction interfaces for the web based on ruby and implements a server-sided synchronisation of all connected modes and media. Currenlty the framework considers gestures, head movements, multi touch and the mouse as principle input modes. The priciple output media is a web application based on a rails frontend as well as sound support based on the SDL libraries. Building this framework is an ongoing effort and it has to be pointed out that it serves to demonstrate scientific research results and is not targeted to we applied to serve productive systems as they are several limitations that need to be solved (maybe with your help?) like for instance multi-user support and authentification. The MINT core gem contains all basic AUI and CUI models as well as the basic infrastructure to create interactors and mappings. For presenting the user interface on a specific platform a "frontend framework" is required. For the first MINT version (2010) we used Rails 2.3 (See http://github.com/sfeu/MINT-rails). The current version uses nodeJS and socketstream as the frontend framework (See http://github.com/sfeu/MINT-platform). The MINT-platform project contains installation instructions. There is still no further documentation for the framework, but a lot of articles about the concepts and theories of our approach have already been published and can be accessed from our project site http://www.multi-access.de .
Inventory Inventory keeps track of the contents of your Ruby¹ projects. Such an inventory can be used to load the project, create gem specifications and gems, run unit tests, compile extensions, and verify that the project’s content is what you think it is. ¹ See http://ruby-lang.org/ § Usage Let’s begin by discussing the project structure that Inventory expects you to use. It’s pretty much exactly the same as the standard Ruby project structure¹: ├── README ├── Rakefile ├── lib │ ├── foo-1.0 │ │ ├── bar.rb │ │ └── version.rb │ └── foo-1.0.rb └── test └── unit ├── foo-1.0 │ ├── bar.rb │ └── version.rb └── foo-1.0.rb Here you see a simplified version of a project called “Foo”’s project structure. The only real difference from the standard is that the main entry point into the library is named “foo-1.0.rb” instead of “foo.rb” and that the root sub-directory of “lib” is similarly named “foo-1.0” instead of “foo”. The difference is the inclusion of the API version. This must be the major version of the project followed by a constant “.0”. The reason for this is that it allows concurrent installations of different major versions of the project and means that the wrong version will never accidentally be loaded with require. There’s a bigger difference in the content of the files. ‹Lib/foo-1.0/version.rb› will contain our inventory instead of a String: require 'inventory-1.0' class Foo Version = Foo.new(1, 4, 0){ authors{ author 'A. U. Thor', 'a.u.thor@example.org' } homepage 'http://example.org/' licenses{ license 'LGPLv3+', 'GNU Lesser General Public License, version 3 or later', 'http://www.gnu.org/licenses/' } def dependencies super + Dependencies.new{ development 'baz', 1, 3, 0 runtime 'goo', 2, 0, 0 optional 'roo-loo', 3, 0, 0, :feature => 'roo-loo' } end def package_libs %w[bar.rb] end } end We’re introducing quite a few concepts at once, and we’ll look into each in greater detail, but we begin by setting the ‹Version› constant to a new instance of an Inventory with major, minor, and patch version atoms 1, 4, and 0. Then we add a couple of dependencies and list the library files that are included in this project. The version numbers shouldn’t come as a surprise. These track the version of the API that we’re shipping using {semantic versioning}². They also allow the Inventory#to_s method to act as if you’d defined Version as ‹'1.4.0'›. Next follows information about the authors of the project, the project’s homepage, and the project’s licenses. Each author has a name and an email address. The homepage is simply a string URL. Licenses have an abbreviation, a name, and a URL where the license text can be found. We then extend the definition of ‹dependencies› by adding another set of dependencies to ‹super›. ‹Super› includes a dependency on the version of the inventory project that’s being used with this project, so you’ll never have to list that yourself. The other three dependencies are all of different kinds: development, runtime, and optional. A development dependency is one that’s required while developing the project, for example, a unit-testing framework, a documentation generator, and so on. Runtime dependencies are requirements of the project to be able to run, both during development and when installed. Finally, optional dependencies are runtime dependencies that may or may not be required during execution. The difference between runtime and optional is that the inventory won’t try to automatically load an optional dependency, instead leaving that up to you to do when and if it becomes necessary. By that logic, runtime dependencies will be automatically loaded, which is a good reason for having dependency information available at runtime. The version numbers of dependencies also use semantic versioning, but note that the patch atom is ignored unless the major atom is 0. You should always only depend on the major and minor atoms. As mentioned, runtime dependencies will be automatically loaded and the feature they try to load is based on the name of the dependency with a “-X.0” tacked on the end, where ‘X’ is the major version of the dependency. Sometimes, this isn’t correct, in which case the :feature option may be given to specify the name of the feature. You may also override other parts of a dependency by passing in a block to the dependency, much like we’re doing for inventories. The rest of an inventory will list the various files included in the project. This project only consists of one additional file to those that an inventory automatically include (Rakefile, README, the main entry point, and the version.rb file that defines the inventory itself), namely the library file ‹bar.rb›. Library files will be loaded automatically when the main entry point file loads the inventory. Library files that shouldn’t be loaded may be listed under a different heading, namely “additional_libs”. Both these sets of files will be used to generate a list of unit test files automatically, so each library file will have a corresponding unit test file in the inventory. We’ll discuss the different headings of an inventory in more detail later on. Now that we’ve written our inventory, let’s set it up so that it’s content gets loaded when our main entry point gets loaded. We add the following piece of code to ‹lib/foo-1.0.rb›: module Foo load File.expand_path('../foo-1.0/version.rb', __FILE__) Version.load end That’s all there’s to it. The inventory can also be used to great effect from a Rakefile using a separate project called Inventory-Rake³. Using it’ll give us tasks for cleaning up our project, compiling extensions, installing dependencies, installing and uninstalling the project itself, and creating and pushing distribution files to distribution points. require 'inventory-rake-1.0' load File.expand_path('../lib/foo-1.0/version.rb', __FILE__) Inventory::Rake::Tasks.define Foo::Version Inventory::Rake::Tasks.unless_installing_dependencies do require 'lookout-rake-3.0' Lookout::Rake::Tasks::Test.new end It’s ‹Inventory::Rake::Tasks.define› that does the heavy lifting. It takes our inventory and sets up the tasks mentioned above. As we want to be able to use our Rakefile to install our dependencies for us, the rest of the Rakefile is inside the conditional #unless_installing_dependencies, which, as the name certainly implies, executes its block unless the task being run is the one that installs our dependencies. This becomes relevant when we set up Travis⁴ integration next. The only conditional set-up we do in our Rakefile is creating our test task via Lookout-Rake⁵, which also uses our inventory to find the unit tests to run when executed. Travis integration is straightforward. Simply put before_script: - gem install inventory-rake -v '~> VERSION' --no-rdoc --no-ri - rake gem:deps:install in the project’s ‹.travis.yml› file, replacing ‹VERSION› with the version of Inventory-Rake that you require. This’ll make sure that Travis installs all development, runtime, and optional dependencies that you’ve listed in your inventory before running any tests. You might also need to put env: - RUBYOPT=rubygems in your ‹.travis.yml› file, depending on how things are set up. ¹ Ruby project structure: http://guides.rubygems.org/make-your-own-gem/ ² Semantic versioning: http://semver.org/ ³ Inventory-Rake: http://disu.se/software/inventory-rake-1.0/ ⁴ Travis: http://travis-ci.org/ ⁵ Lookout-Rake: http://disu.se/software/lookout-rake-3.0/ § API If the guide above doesn’t provide you with all the answers you seek, you may refer to the API¹ for more answers. ¹ See http://disu.se/software/inventory-1.0/api/Inventory/ § Financing Currently, most of my time is spent at my day job and in my rather busy private life. Please motivate me to spend time on this piece of software by donating some of your money to this project. Yeah, I realize that requesting money to develop software is a bit, well, capitalistic of me. But please realize that I live in a capitalistic society and I need money to have other people give me the things that I need to continue living under the rules of said society. So, if you feel that this piece of software has helped you out enough to warrant a reward, please PayPal a donation to now@disu.se¹. Thanks! Your support won’t go unnoticed! ¹ Send a donation: https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=now@disu.se&item_name=Inventory § Reporting Bugs Please report any bugs that you encounter to the {issue tracker}¹. ¹ See https://github.com/now/inventory/issues § Authors Nikolai Weibull wrote the code, the tests, the documentation, and this README. § Licensing Inventory is free software: you may redistribute it and/or modify it under the terms of the {GNU Lesser General Public License, version 3}¹ or later², as published by the {Free Software Foundation}³. ¹ See http://disu.se/licenses/lgpl-3.0/ ² See http://gnu.org/licenses/ ³ See http://fsf.org/
## Dinosaur Catalog It may not be immediately evident, but I am a huge fan of dinosaurs. They're huge and dangerous and have cool names like Giganotosaurus (not to be confused with Gigantosaurus). ... Anyway. I need to catalog some dinosaurs for my newest project, DinoDex. I've got a CSV file for the dinosaur facts, and I need the code to read all the dinosaur facts and do some basic manipulations with the data. ### Requirements Go check out the CSVs and come back. Done? Cool, I've just got a few features I need: 1. I loaded my favorite dinosaurs into a CSV file you'll need to parse. I don't know a lot about African Dinosaurs though, so I downloaded one from The Pirate Bay. It isn't formatted as well as mine, but please try to parse it anyway. 2. I have friends who ask me a lot of questions about dinosaurs (I'm kind of a big deal). Please make sure the dinodex is able to answer these things for me: * Grab all the dinosaurs that were bipeds. * Grab all the dinosaurs that were carnivores (fish and insects count). * Grab dinosaurs for specific periods (no need to differentiate between Early and Late Cretaceous, btw). * Grab only big (> 2 tons) or small dinosaurs. * Just to be sure, I'd love to be able to combine criteria at will, even better if I can chain filter calls together. 3. For a given dino, I'd like to be able to print all the known facts about that dinosaur. If there are facts missing, please don't print empty values, just skip that heading. Make sure to print Early / Late etc for the periods. 4. Also, I'll probably want to print all the dinosaurs in a given collection (after filtering, etc). #### Extra Credit 1. I would love to have a way to do (and chain) generic search by parameters. I can pass in a hash, and I'd like to get the proper list of dinos back out. 2. CSV isn't may favorite format in the world. Can you implement a JSON export feature? Happy Hunting. (Giganotosaurus was the largest hunting dinosaur, at 46 feet long and up to 8 tons! Suh-weet.)
Diff and patch tables
Diff and patch tables
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