jarmitage

-- Added to https://github.com/tidalcycles/Tidal/blob/1d05c6119aba8c7547bbf1512ce1f901e38e1d6c/Sound/Tidal/Stream.hs

import qualified Data.Aeson as A

-- ...

instance A.ToJSON Value where
  toJSON (VS s) = A.toJSON s
  toJSON (VF d) = A.toJSON d
  toJSON (VI i) = A.toJSON i

jarmitage

while read p; do
	f="${p//font-/}*"
	f="${f//-}"
	# echo "$f"
	if [[ -z `find /Users/xxx/Library/Fonts -iname "$f"` ]]; then
		echo "not found: $f"
		brew cask install "$p"
	else
		echo "found: $f"
	fi

jarmitage

Building a Bela image using VirtualBox and Ubuntu

• Size of VM after running ./build_bela.sh: 27.52GB
• Size of bela-image-builder folder after running ./build_bela.sh: 12GB

Creating the Ubuntu VM

• Install VirtualBox
• Download an Ubuntu image
• Set up an Ubuntu VM in VirtualBox (you will need ≥30GB disk and ≥2GB RAM)
• Boot the VM and install the image

jarmitage

#!/bin/bash
alias watchdistcc="watch -n 0.4 rm -rf \"~/.distcc/lock/*\""

jarmitage

// see tidal example: https://github.com/ojack/hydra-examples

p1.remove()

p1 = new P5()
p1.pixelDensity(1)
msg.setPort(3333)
tidalHistory = 128
tidal = []
sounds = {'s':[], 'c':[]}

jarmitage

module Init where

-- import Sound.Tidal.SpectralTricks

-- import qualified Sound.Tidal.Scales as Scales

-- import qualified Sound.Tidal.Chords as Chords

import Sound.Tidal.Utils

jarmitage

module Init where

-- import Sound.Tidal.SpectralTricks

-- import qualified Sound.Tidal.Scales as Scales

-- import qualified Sound.Tidal.Chords as Chords

import Sound.Tidal.Utils

jarmitage

do -- suf
  bps (140/120)
  t1 (j 0) . m . sl 4
     -- . fE [3,4] (jux rev)  . fE [2,5] (iter 4 . fa 3 . degBy 0.5)
     -- . rarely ((> sustain "0.2") . fa 2 . degBy 0.9)
     $ stack [
         n (fmap (+12) $ 
           -- almostNever (oa (3/8) 19) $ rarely (fmap (subtract 12)) $
           "[-4 0 3]*2 [-5 -2 3]*2 [-7 -4 0]*2 [[-7 -4 0] [-7 1 -4]]") > s "superpiano"
         ,n ("[-4, -16] [-9, -21] [-7, -19] [~ [-11, -23]]")

jarmitage

do -- bey
  bps (83/120)
  t1 (j 0) . m
    $ stack [
        -- rarely (brak . fa 2) $
        s "[pcmbd:5 [~ pcmbd:5] ~ ~ ]" > end "0.3" > sp "0.9" > go "0.9:0"
        ,-- almostNever ((> sp "2") . fa 8 . (> pan rand)) . rarely (brak . fa 2) $
         s "[[~ pcmsn:17]*2]"-- [~ ~ ~ [~ pcsn:17*4?]]]"
          > rvb "0.1:0.1" > go "1:2"
        ,--almostNever (str 8 . chop 4 . (> pan rand)) $

jarmitage

How to install Essentia on macOS using an Anaconda environment

[This is a brief note so I don't forget how to do this, and will probably be technically obsolete before long!]

Essentia is an "Open-source library and tools for audio and music analysis, description and synthesis" (https://essentia.upf.edu)

If you use Jupyter Lab / notebooks and therefore manage your Python environments using Anaconda, AND your machine is macOS, you will not be able to install Essentia out of the box. This is because:

• pip install essentia is currently Linux only