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---
- hosts: all
  tasks:
  - add_host:
      name: 10.10.22.22
      groups: test_group
  - command: echo 'this command will not connect to 10.10.22.22'

- hosts: all
  tasks:

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# test.yml
---
- hosts: localhost
  connection: local
  gather_facts: no
  vars:
    my_list:
      - one
      - two
      - three

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[root@a830ca3bdcaa working]# rpm-ostree-toolbox imagefactory -c fedora-atomic/config.ini  -i kvm -i raw --ostreerepo /srv/rpm-ostree/fedora-atomic/23/ -o /srv/rpm-ostree/fedora-atomic/23/images
/usr/lib64/rpm-ostree-toolbox/py/rpmostreecompose/imagefactory.py:29: PyGIWarning: OSTree was imported without specifying a version first. Use gi.require_version('OSTree', '1.0') before import to ensure that the right version gets loaded.
  from gi.repository import Gio, OSTree, GLib  # pylint: disable=no-name-in-module
/usr/lib64/rpm-ostree-toolbox/py/rpmostreecompose/taskrunner.py:27: PyGIWarning: GSystem was imported without specifying a version first. Use gi.require_version('GSystem', '1.0') before import to ensure that the right version gets loaded.
  from gi.repository import GLib,Gio,GSystem  # pylint: disable=no-name-in-module
No kickstart was passed with -k and /home/working/fedora-atomic/fedora-atomic-f23.ks does not exist

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---
- name: test float values with lvol
  sudo: yes
  remote_user: user
  hosts: all
  vars:
    img: /tmp/lvol_test.img
  tasks:
    - name: create loop image
      shell: dd if=/dev/zero of={{ img }} bs=1M count=100

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preamble = """# Copyright (c) 2013 - The C3PX authors.
#
# This file is part of C3PX.
#
# C3PX is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as 
# published by the Free Software Foundation, either version 3 of 
# the License, or (at your option) any later version.
#
# C3PX is distributed in the hope that it will be useful,

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# -*- encoding: utf-8 -*-

import string
import yaml

from yaml import Loader, SafeLoader
 
# From Cryo http://stackoverflow.com/a/2967461
def construct_yaml_str(self, node):
 return self.construct_scalar(node)