jarmitage

mutePatterns g = mapM (streamMute tidal) g
muteIntPatterns g = mutePatterns (map show g)
mutePatterns' s g = mutePatterns (fromJust $ lookup g s)
unmutePatterns g = mapM (streamUnmute tidal) g
unmuteIntPatterns g = unmutePatterns (map show g)
unmutePatterns' s g = unmutePatterns (fromJust $ lookup g s)
soloPatterns g = mapM (streamSolo tidal) g
soloPatterns' s g = soloPatterns (fromJust $ lookup g s)
unsoloPatterns g = mapM (streamUnsolo tidal) g
unsoloPatterns' s g = unsoloPatterns (fromJust $ lookup g s)

jarmitage

Using the Cling C++ Interpreter on the Bela Platform

About Cling

Cling is a C++ interpreter developed at CERN as part of the ROOT project:

• Main website: https://root.cern.ch/cling
• Code: https://github.com/root-project/cling
• Article: http://iopscience.iop.org/article/10.1088/1742-6596/396/5/052071/meta
• Talk: https://www.youtube.com/watch?v=Lbi7MLS03Yc

jarmitage

do -- zpbb3
  bps (127/120)
  d1 . m . sl 2 -- zp 1
     . ev 4 (# hpf' "1e3 4e3 7e3" 0.3)
     $ struct "t(3,8)!2" $ n ("0 1") # s "cutzpbb3"
     + sp "1 [1 0.5? 0.25?]" # rvb "0.1:0.1"
     # gco "0.3:1:0" # hpf' 5e3 0.2
  d2 . i . sl 8 -- zp 2
     . juxBy 0.25 (rev) . iter 4 . str 4
     . ev 4 (chop 2 . (# pan rand)) . ev 2 ((|+| sp "-2"))

jarmitage

import subprocess

def applescript_to_list (file, path="/my/default/path/"):
    # open an applescript and return its contents as a list
    applescript = open(path + file + ".applescript", "r")
    lines = applescript.readlines()
    applescript.close()
    return lines

def applescript_list_to_string (script_list):

jarmitage

Using Bela build scripts across multiple Bela's simultaneously

Suppose you are trying to program two Bela's at the same time (yes this was an actual need of mine).

You can achieve this using Bela's build_project.sh script [1] and some tweaking.

Basic setup

First you need to change the IP address and DHCP settings of one of your Bela's [2], so that you can connect to your two devices separately and simultaneously.

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

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

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

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