Skip to main content

play audio files in performance contexts

Project description

walkman

Build Status License: GPL v3 PyPI version Code style: black

Walkman is a minimalistic, robust software to trigger (audio) cues in performance contexts. It uses pyo as its backend and pysimplegui as its frontend. It can be configured by toml files.

Rationale

Live-electronic setups tend to be messy, difficult to maintain and difficult to test. Furthermore many compositions with live-electronics make use of cue-based pattern, but in most of electronic music frameworks (Pd, Max/MSP, ...) no default implementation exists. walkman aims to improve the situation by providing a simple, declarative configuration language to setup programs based on cues. The actual software is implemented in Python3, can be extended in python3 and can be tested with unit tests.

Installation

walkman is available on pip:

pip3 install audiowalkman

You can also use buildout to create an isolated environment. Please consult the respective README for more information.

Configuration file

# my_composition.toml

# ##    General configurations  ## #

[configure]
name = "my composition"

[configure.audio]
sampling_rate = 44100


[configure.module.audio_input.0]
input_channel_index = 1

[configure.module.sound_file_player]
replication_count = 1

[configure.module.sound_file_player.0]
# We can set values passed to '__init__'
auto_stop = false

# And we can also override the default values of
# 'initialize' method.
[configure.module.sound_file_player.0.default_dict.decibel]
value = -6
midi_control_index = 0
midi_range = [-120, 0]

# ##    Cues                  ## #

[cue.1.sound_file_player.0]
path = "jungle_rain.wav"
decibel = -12
loop = true

[cue.2]
sound_file = false

[cue.2.harmonizer.0]
# Move in 10 seconds from decibel -20 to decibel 0
decibel = [[0, -20], [10, 0]]
factor = 4

Usage

walkman my_composition.toml

Tests

Automatic

The run-tests script setups a test environment and runs automatic unit tests.

./run-tests

Manual

Please consult the respective README.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

audiowalkman-0.15.0.tar.gz (48.3 kB view details)

Uploaded Source

Built Distribution

audiowalkman-0.15.0-py3-none-any.whl (54.2 kB view details)

Uploaded Python 3

File details

Details for the file audiowalkman-0.15.0.tar.gz.

File metadata

  • Download URL: audiowalkman-0.15.0.tar.gz
  • Upload date:
  • Size: 48.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for audiowalkman-0.15.0.tar.gz
Algorithm Hash digest
SHA256 1c85e92ef48b4a48592e19b8bf05184f3df87ecc82e96fd999ab73ac9f366f8f
MD5 ce686a7a1a556e6d679aa7800724458f
BLAKE2b-256 ffa748a627d8559292a21632b55b41641573573add94bf778bf38dc83e0889c3

See more details on using hashes here.

File details

Details for the file audiowalkman-0.15.0-py3-none-any.whl.

File metadata

File hashes

Hashes for audiowalkman-0.15.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0fab17203a9b02d37a6b0c5be177ad2c7e135c76be7a64360f24746879efb93e
MD5 6248a8d072825ab6765b712f33fc8f36
BLAKE2b-256 4d6afbc235fcba64c030e763a581a52ad5b322e2608ebff13dfc50ba011189b4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page