--- !ruby/object:Gem::Specification
name: slurper
version: !ruby/object:Gem::Version
  version: 2.2.2
platform: ruby
authors:
- Adam Lowe
- Paul Elliott
- Taylor Mock
- Chris Erin
autorequire: 
bindir: bin
cert_chain: []
date: 2019-02-08 00:00:00.000000000 Z
dependencies:
- !ruby/object:Gem::Dependency
  name: activesupport
  requirement: !ruby/object:Gem::Requirement
    requirements:
    - - "~>"
      - !ruby/object:Gem::Version
        version: '5.2'
  type: :runtime
  prerelease: false
  version_requirements: !ruby/object:Gem::Requirement
    requirements:
    - - "~>"
      - !ruby/object:Gem::Version
        version: '5.2'
- !ruby/object:Gem::Dependency
  name: rest-client
  requirement: !ruby/object:Gem::Requirement
    requirements:
    - - ">="
      - !ruby/object:Gem::Version
        version: '0'
  type: :runtime
  prerelease: false
  version_requirements: !ruby/object:Gem::Requirement
    requirements:
    - - ">="
      - !ruby/object:Gem::Version
        version: '0'
description: Slurps stories from the given file (stories.slurper by default) and creates
  Pivotal Tracker stories from them. Useful during story carding sessions when you
  want to capture a number of stories quickly without clicking your way through the
  Tracker UI.
email: dev@hashrocket.com
executables:
- slurp
extensions: []
extra_rdoc_files: []
files:
- MIT_LICENSE
- README.md
- Rakefile
- bin/slurp
- lib/slurper.rb
- lib/slurper/client.rb
- lib/slurper/config.rb
- lib/slurper/engine.rb
- lib/slurper/story.rb
- lib/slurper/user.rb
homepage: http://github.com/hashrocket/slurper
licenses:
- MIT
metadata: {}
post_install_message: 
rdoc_options:
- "--charset=UTF-8"
require_paths:
- lib
required_ruby_version: !ruby/object:Gem::Requirement
  requirements:
  - - ">="
    - !ruby/object:Gem::Version
      version: '0'
required_rubygems_version: !ruby/object:Gem::Requirement
  requirements:
  - - ">="
    - !ruby/object:Gem::Version
      version: '0'
requirements: []
rubygems_version: 3.0.2
signing_key: 
specification_version: 4
summary: takes a formatted story file and puts it on Pivotal Tracker
test_files: []