Results for node-releases

Core scheduling algorithms for HPC job schedulers: multi-dimensional knapsack solver, composite cost function, topology-aware placement, reservation-based backfill, conformance grouping, preemption, and walltime enforcement.

This is just an experiment with releasing a gem + node package together

Releases Puppet configuration for a node dependent on the condition of dependent nodes

YPetri is a DSL (domain-specific language) for modelling of dynamical systems. It is biologically inspired, but concerns of biology and chemistry have been purposely separated away from it. YPetri caters solely to the two main concerns of modelling, model specification and simulation, and it excels in the first one. Dynamical systems are described under a Petri net paradigm. YPetri implements a universal Petri net abstraction that integrates discrete/continous, timed/timeless and stoichiometric/nonstoichiometric dichotomies of the extended Petri nets, and allows efficient specification of any kind of dynamical system. Like Petri nets themselves, YPetri was inspired by problems from the domain of chemistry (biochemical pathway modelling), but is not specific to it. Other gems, YChem and YCell are planned to cater to the concerns specific to chemistry and cell biochemistry. A lower-level extension of YPetri is currently under development under the name YNelson. Its usage is practically identical to YPetri, so any YPetri user can now consider using YNelson instead. YNelson covers additional concerns: it allows relations among nodes and parameters to be specified under a zz structure paradigm (developed by Ted Nelson) and it is also aimed towards providing a higher level of abstraction in Petri net specification by providing commands that create more than one Petri net node per command. YPetri documentation is avalable online, but due to formatting issues, you may prefer to generate the documentation on your own by running rdoc in the gem directory. As for the user manuals, there are currently 3 documents applicable for both YPetri and YNelson, whose master copies are stored in the YNelson source directory: 1. Introduction to YNelson and YPetri (hands-on tutorial), 2. Object model of YNelson and YPetri, 3. Introduction to Ruby for YNelson users. These manuals are written to allow beginners, including those unfamiliar with Ruby, to start working with YPetri and/or YNelson. For an example of how YPetri can be used to model complex dynamical systems, see the eukaryotic cell cycle model which I released as "cell_cycle" gem.

# CheckChefConverge This is a Nagios/Sensu check that can check if nodes returned from a chef search have converged recently. ## Installation Add this line to your application's Gemfile: ```ruby gem 'check_chef_converge' ``` And then execute: $ bundle Or install it yourself as: $ gem install check_chef_converge ## Usage ``` Usage: check_chef_converge -w, --warn-minutes MINUTES Warning when chef has not converged in minutes.Default 65 -c, --crit-minutes MINUTES Critical when chef has not converged in minutes.Default 70 -q, --query SEARCH Chef query to filter on. Default 'fqdn:travis-work-mbp.local' --chef-client-config CONFIG Chef client configuration. --chef-server-url URL Chef Server URL. Must pass client-name and client-key or client-key-file with this option. --chef-client-name NAME Chef Client Name. Only used with server-url --chef-client-key KEY Chef Client Key (string). Only used with server-url. Takes precedence over client-key-file. --chef-client-key-file PATH Chef Client Key File. Only used with server-url -h, --help Show this message --version Show version ``` ## Development After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment. 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`, which will create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org). ## Contributing Bug reports and pull requests are welcome on GitHub at https://github.com/Altiscale/check_chef_converge. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](contributor-covenant.org) code of conduct.

Zz structures are an interesting way of representing relations invented by Ted Nelson, whose domain model I provide in a gem Yzz. In this gem, YNelson, I combine Yzz with the universal Petri net provided by YPetri (another gem I wrote) to obtain a hybrid data structure that formalizes and generelizes a spreadsheet. Because let us note spreadsheets (as I have seen them) can be considered Petri nets of a kind, with cell functions acting as Petri net transitions. At the same time, spreadsheets are globally orthogonal structures with 3 typical dimensions (rows, columns and sheets). By using zz structures, the globally orthogonal spreadsheet is generalized as a locally orthogonal zz structure, with relations represented as zz dimensions, thus generalizing and formalizing a spreadsheet. The catch is that I have not yet finished the thinking process regarding what everything should be a zz object: Places (cells) and transitions definitely yes, but how about nets and dimensions? Should YNelson go as far as making namespaces into zz objects? The reason why these questions are hard to answer is because Ted Nelson himself, while providing interfaces guidelines (zz structure views, cursors...) did not comment on these questions. While being a (textual) DSL, YNelson aims to provide convenience on par with actual spreadsheet apps. Unlike YPetri, YNelson also aims to be able to specify more than one Petri net node per command, but this is still under development. See the user guide and the documentation for the details. YNelson documentation is available online, but due to formatting issues, you may prefer to generate the documentation on your own by running rdoc in the gem directory. For an example of how YPetri can be used to model complex dynamical systems, see the eukaryotic cell cycle model which I released as "cell_cycle" gem.

Diff and patch tables

http://www.engineyard.com/blog/2010/extending-rails-3-with-railties/ http://www.igvita.com/2010/08/04/rails-3-internals-railtie-creating-plugins/ h1. Morning Glory Morning Glory is comprised of a rake task and helper methods that manages the deployment of static assets into an Amazon CloudFront CDN's S3 Bucket, improving the performance of static assets on your Rails web applications. _NOTE: You will require an Amazon Web Services (AWS) account in order to use this gem. Specially: S3 for storing the files you wish to distribute, and CloudFront for CDN distribution of those files._ This version of Morning Glory works with Rails 3.x and Ruby 1.9.x h2. What does it do? Morning Glory provides an easy way to deploy Ruby on Rails application assets to the Amazon CloudFront CDN. It solves a number of common issues with S3/CloudFront. For instance, CloudFront won't automatically expire old assets stored on edge nodes when you redeploy new assets (the Cloudfront expiry time is 24 hours minimum). To fix this Morning Glory will automatically namespace asset releases for you, then update all references to those renamed assets within your stylesheets ensuring there are no broken asset links. It also provides a helper method to rewrite all standard Rails asset helper generated URLs to your CloudFront CDN distributions, as well as handling switching between HTTP and HTTPS. Morning Glory was also built with SASS (Syntactically Awesome Stylesheets) in mind. If you use Sass for your stylesheets they will automatically be built before deployment to the CDN. See http://sass-lang.com/ for more information on Sass.s h2. What it doesn't do Morning Glory cannot configure your CloudFront distributions for you automatically. You will manually have to login to your AWS Management Console account, "https://console.aws.amazon.com/cloudfront/home":https://console.aws.amazon.com/cloudfront/home, and set up a distribution pointing to an S3 Bucket. h2. Installation <pre> gem 'morning_glory' </pre> h2. Usage Morning Glory provides it's functionality via rake tasks. You'll need to specify the target rails environment configuration you want to deploy for by using the @RAILS_ENV={env}@ parameter (for example, @RAILS_ENV=production@). <pre> rake morning_glory:cloudfront:deploy RAILS_ENV={YOUR_TARGET_ENVIRONMENT} </pre> h2. Configuration h3. The Morning Glory configuration file, @config/morning_glory.yml@ You can specify a configuration section for every rails environment (production, staging, testing, development). This section can have the following properties defined: <pre> --- production: enabled: true # Is MorningGlory enabled for this environment? bucket: cdn.production.foo.com # The bucket to deploy your assets into s3_logging_enabled: true # Log the deployment to S3 revision: "20100317134627" # The revision prefix. This timestamp automatically generateed on deployment delete_prev_rev: true # Delete the previous asset release (save on S3 storage space) </pre> h3. The Amazon S3 authentication keys configuration file, @config/s3.yml@ This file provides the access credentials for your Amazon AWS S3 account. You can configure keys for all your environments (production, staging, testing, development). <pre> --- production: access_key_id: YOUR_ACCESS_KEY secret_access_key: YOUR_SECRET_ACCESS_KEY </pre> Note: If you are deploying your system to Heroku, you can configure your Amazon AWS S3 information with the environment variables S3_KEY and S3_SECRET instead of using a configuration file. h3. Set up an asset_host For each environment that you'd like to utilise the CloudFront CDN for you'll need to define the asset_host within the @config/environments/{ENVIRONMENT}.rb@ configuration file. As of June 2010 AWS supports HTTPS requests on the CloudFront CDN, so you no longer have to worry about switching servers. (Yay!) h4. Example config/environments/production.rb @asset_host@ snippet: Here we're targeting a CNAME domain with HTTP support. <pre> ActionController::Base.asset_host = Proc.new { |source, request| if request.ssl? "#{request.protocol}#{request.host_with_port}" else "#{request.protocol}assets.example.com" end } </pre> h3. Why do we have to use a revision-number/namespace/timestamp? Once an asset has been deployed to the Amazon Cloudfront edge servers it cannot be modified - the version exists until it expires (minimum of 24 hours). To get around this we need to prefix the asset path with a revision of some sort - in MorningGlory's case we use a timestamp. That way you can deploy many times during a 24 hour period and always have your latest revision available on your web site. h2. Dependencies h3. AWS S3 Required for uploading the assets to the Amazon Web Services S3 buckets. See "http://amazon.rubyforge.org/":http://amazon.rubyforge.org/ for more documentation on installation. h2. About the name Perhaps not what you'd expect; a "Morning Glory":http://en.wikipedia.org/wiki/Morning_Glory_cloud is a rare cloud formation observed by glider pilots in Australia (see my side project, "YourFlightLog.com for flight-logging software for paraglider and hang-glider pilots":http://www.yourflightlog.com, from which the Morning Glory plugin was originally extracted). Copyright (c) 2010 "@AdamBurmister":http://twitter.com/adamburmister/, released under the MIT license

ROS Ruby Client: rosruby ======= [ROS](http://ros.org) is Robot Operating System developed by [Willow Garage](http://www.willowgarage.com/) and open source communities. This project supports ruby ROS client. You can program robots by ruby, very easily. **Homepage**: http://otl.github.com/rosruby **Git**: http://github.com/OTL/rosruby **Author**: Takashi Ogura **Copyright**: 2012 **License**: new BSD License **Latest Version**: 0.2.0 Requirements ---------- - ruby (1.8.x/1.9.x) - ROS (electric/fuerte) - ROS requires python2.7 or more libraries Let's start --------------- Install ROS and ruby first. ROS document is [http://ros.org/wiki/ROS/Installation](http://ros.org/wiki/ROS/Installation) . You can install ruby by apt. ```bash $ sudo apt-get install ruby ``` Download rosruby into your ROS_PACKAGE_PATH. ````bash $ git clone git://github.com/OTL/rosruby.git ``` please add RUBYLIB environment variable, like below (if you are using bash). ```bash $ echo "export RUBYLIB=`rospack find rosruby`/lib" >> ~/.bashrc $ source ~/.bashrc ``` To use with precompiled electric release ----------------------- If you are using precompiled ROS distro, use the msg/srv generation script (rosruby_genmsg.py) If you are using ROS from source, it requires just recompile the msg/srv packages by rosmake rosruby. ```bash $ rosrun rosruby rosruby_genmsg.py ``` This converts msg/srv to .rb which is needed by sample programs. If you want to make other packages, add package names for args. For example, ```bash $ rosrun rosruby rosruby_genmsg.py geometry_msgs nav_msgs ``` Sample Source -------------- ## Subscriber ```ruby #!/usr/bin/env ruby require 'ros' require 'std_msgs/String' node = ROS::Node.new('/rosruby/sample_subscriber') node.subscribe('/chatter', Std_msgs::String) do |msg| puts "message come! = \'#{msg.data}\'" end while node.ok? node.spin_once sleep(1) end ``` ## Publisher ```ruby #!/usr/bin/env ruby require 'ros' require 'std_msgs/String' node = ROS::Node.new('/rosruby/sample_publisher') publisher = node.advertise('/chatter', Std_msgs::String) msg = Std_msgs::String.new i = 0 while node.ok? msg.data = "Hello, rosruby!: #{i}" publisher.publish(msg) sleep(1.0) i += 1 end ``` Note ---------------- Ruby requires 'Start with Capital letter' for class or module names. So please use **S**td_msgs::String class instead of **s**td_msgs::String. Try Publish and Subscribe ---------------------- You needs three terminal as it is often for ROS users. Then you run roscore if is not running. ```bash $ roscore ``` run publisher sample ```bash $ rosrun rosruby sample_publisher.rb ``` run subscription sample ```bash $ rosrun rosruby sample_subscriber.rb ``` you can check publication by using rostopic. ```bash $ rostopic list $ rostopic echo /chatter ``` Try Service? ---------------------- ```bash $ rosrun rosruby add_two_ints_server.rb ``` run client with args ('a' and 'b' for roscpp_tutorials/TwoInts) ```bash $ rosrun rosruby add_two_ints_client.rb 10 20 ``` and more... ---------------------- You need more tools for testing, generating documentations. ```bash $ sudo apt-get install rake gem $ sudo gem install yard redcarpet simplecov ``` do all tests ------------------------- run roscore if is not running. ```bash $ roscore ``` and run the unit tests. ```bash $ roscd rosruby $ rake test ``` documents -------------------------- you can generate API documents using yard. Document generation needs yard and redcarpet. You can install these by gem command like this. ```bash $ gem install yard redcarpet ``` Then try to generate documentds. ```bash $ rake yard ``` You can access to the generated documents from [here](http://otl.github.com/rosruby/doc/).

Diff and patch tables

Contentful API wrapper library exposing an ActiveRecord-like interface

No description provided.

No description provided.

No description provided.