--- !ruby/object:Gem::Specification name: banned_words version: !ruby/object:Gem::Version version: 0.1.1 prerelease: platform: ruby authors: - Razvan Secara - Pop Sabina autorequire: bindir: bin cert_chain: [] date: 2012-03-23 00:00:00.000000000Z dependencies: - !ruby/object:Gem::Dependency name: rspec requirement: &16334280 !ruby/object:Gem::Requirement none: false requirements: - - ! '>=' - !ruby/object:Gem::Version version: '0' type: :development prerelease: false version_requirements: *16334280 - !ruby/object:Gem::Dependency name: rails requirement: &16333760 !ruby/object:Gem::Requirement none: false requirements: - - ! '>=' - !ruby/object:Gem::Version version: '3.0' type: :development prerelease: false version_requirements: *16333760 - !ruby/object:Gem::Dependency name: rails requirement: &16333260 !ruby/object:Gem::Requirement none: false requirements: - - ! '>=' - !ruby/object:Gem::Version version: '3.0' type: :runtime prerelease: false version_requirements: *16333260 description: Detects and masks banned words within a text email: - secara.razvan@yahoo.com executables: [] extensions: [] extra_rdoc_files: [] files: - .gitignore - .rspec - .travis.yml - Gemfile - LICENSE - README.md - Rakefile - banned_words.gemspec - lib/banned_words.rb - lib/banned_words/core.rb - lib/banned_words/storage.rb - lib/rails/generators/banned_words_generator.rb - lib/rails/generators/templates/banned_words.yml - spec/banned_words_spec.rb - spec/lib/core_spec.rb - spec/lib/storage_spec.rb - spec/spec_helper.rb - spec/yamls/banned_words.yml homepage: https://github.com/razvan-sv/banned_words licenses: [] post_install_message: rdoc_options: [] require_paths: - lib required_ruby_version: !ruby/object:Gem::Requirement none: false requirements: - - ! '>=' - !ruby/object:Gem::Version version: '0' required_rubygems_version: !ruby/object:Gem::Requirement none: false requirements: - - ! '>=' - !ruby/object:Gem::Version version: '0' requirements: [] rubyforge_project: banned_words rubygems_version: 1.8.10 signing_key: specification_version: 3 summary: Detects and masks banned words within a text test_files: []