Project

Reverse Dependencies for rspec

The projects listed here declare rspec as a runtime or development dependency

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Gem to demonstrate using Pry to access and debug inside 3rd party libraries
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A better way to seed Ruby on Rails applications.
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Provides super simple authentication al a Ryan Bates old screen cast. Creates admin access feature which allows for a single password login for admin tool access.
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Version 1.0.1 Update Notes: -Updated README "HOW TO RUN" -I'm not sure how to format this so it looks good on the gems website so please just see the README file. USE CASES: 1. Your friends bully you because your imaginary role playing worlds are predictable and boring. 2. You like seeing c...
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An example project using Super Source. View instructions at https://github.com/SuperSourceOrg/super_source_hello_world/tree/master/ruby
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There's a lot of open issues
Provides tools for managing resource-efficient backfills of large datasets via ActiveJob
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The purpose of this gem is to provide a simple way to manage the merge of different hashes (layers) according to priority and several merge policies.
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Grant superpowers to instances of the String class
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SuperStrip provides another version of lstrip, rstrip, strip, lstrip!, rstrip!, strip! functions. They can remove special white spaces such as `IDEOGRAPHIC SPACE`.
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Compared with the original version, it provides the following additional features: * ability to initialize an instance from Hash * ability to pass a block on creation It's taken from Simone Carletti's whois: https://github.com/weppos/whois and has been put into this gem.
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Immutable, keyword-argument based value objects for Ruby
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A terminal that focuses on remote control for various events.
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Extension to the OpenURI module that understands many additional types of URI resources, and is able to open and read them. Included are: file://, scp://, env://, osxkeychain://, redis://, memcached:// schemes.
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Repository is gone
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Supervised learning is the machine learning task of inferring a function from labeled training data. A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.
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