ferrihydrite

# -*- coding: utf-8 -*-
"""
USAGE: 
morphagene_ableton3.py -w <inputwavfile> -l <inputlabels> -o <outputfile>'

Instructions in Ableton:
    Insert locators as splice markers in your project (Create > Add Locator)
    Export Audio/Video with
        Sample Rate: 48000 Hz
        Encode PCM: enabled

knandersen

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
USAGE: 
morphagene_directory.py -d <inputdirectory> -o <outputfile>'

Script will go through <inputdirectory> and splice all wave-files 
together in alphabetic order and place a marker in between.

Requires all wave-files in directory to have the same number of channels and bitrate!

knandersen

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
USAGE: 
morphagene_ableton.py -w <inputwavfile> -l <inputlabels> -o <outputfile>'

Instructions in Ableton:
    Insert locators as splice markers in your project (Create > Add Locator)
    Export Audio/Video with
        Sample Rate: 48000 Hz

8bitnz

# The provider is the system we are connecting to or managing. In this case
# the provider is 'vsphere'. For the vSphere provider, we need to provide the 
# vCenter server and credentials to connect. In this example, we are using variables for this

provider "vsphere" {
  user           = var.vsphere_user
  password       = var.vsphere_password
  vsphere_server = var.vsphere_server

  # If you have a self-signed cert

ferrihydrite

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
USAGE: 
morphagene_audacity.py -w <inputwavfile> -l <inputlabels> -o <outputfile>'

Used to convert Audacity labels in .txt form on .WAV files into
    single 32-bit float .WAV with CUE markers within the file, directly
    compatible with the Make Noise Morphagene.
    

yardensachs

Terraform state moving script

This script will use a mapping of old and new Terraform resources path to move from an exisiting state to a new state. This is handy when restructuring a Terraform project.

Steps before running this script:

• In exisiting project:
  • Make sure you have intiiated with the correct state backend (if you are using different state backends)
  • Run terraform state list and grab the paths. you would need to filter between resource paths and other paths like data blocks
• In new structure:
• Run terraform init

irvingpop

# ssh key generator data source expects the below 3 inputs, and produces 3 outputs for use:
#  "${data.external.ssh_key_generator.result.public_key}" (contents)
#  "${data.external.ssh_key_generator.result.private_key}" (contents)
#  "${data.external.ssh_key_generator.result.private_key_file}" (path)
data "external" "ssh_key_generator" {
  program = ["bash", "${path.root}/../ssh_key_generator.sh"]

  query = {
    customer_name = "${var.customer_name}"
    customer_group = "${var.customer_group}"

lamw

FROM photon

RUN tdnf -y install tar gzip sed gawk ncurses-compat

ADD VMware-ovftool-4.2.0-4586971-lin.x86_64.bundle /tmp/
RUN chmod +x /tmp/VMware-ovftool-4.2.0-4586971-lin.x86_64.bundle

RUN echo -e "/w00t\n" >> /tmp/answer
RUN /tmp/VMware-ovftool-4.2.0-4586971-lin.x86_64.bundle --eulas-agreed --required --console < /tmp/answer