jamesb93

!CELL:262:ALL!LRxF4Tr1vENjsJSJsBJJtcCjeitsCCIfXjXoXjG4tjlzh5yBPklhiHWRNrsJ8i8yPjZmkbhEz7gdXV8Y2pDbkT7Z(cRlpftBzl1ll7ULgAX1nqyHYftA702TTetGwGwyXBlS0p3Z9ENrF44MMS7ZZ7)S5jJ1m3po3Z5CpNZ987md3DUA9(LZjRlPEN1oSHs(d1tE18I6zKslhTGPI2YvYMwor(8QMz1mIKR18dMuYuCYbLZviwEJSMzZNBmZ8A9LmVPz(b1wQK6HKgYOxT0sMYblKjJHYOeQgts3CirTlKqTGQzp8HL0thxkB6UKYj1VSUys18PgqoTO2YkNaHKtsjXWM6s5muZAkw5ceOGUKHYmY5KsQwKjfNoJU0GYX0ZMxpR5q(9fSlPS5e9nApA5nvZ2VIPIVj)WfYMAaHaggznaHCPLZwmwLQliCOO2Ylyi3QQCHDjlPAQWwzDfTAMRSiQvJPnp4OA23ybJMir0U6mCBj0djNrQGQPEIOXipZT6zsvWauAjKVfZc6YgEN4aeUIXuENoLk8qRsgMzZ1VXJprOWbsSRD3DK23vIrMAj(9f3Cin5MsAkb7FMSNAg2j6VFvzYMJ)rjT0iWXXJBOjRQw9SBzwMUlbDkav3Zulz40znikV0jtLFWbZNdx)JTeC9piC9R2h5YVp8QXc(WRbVw)41HRdOcEd(Pp7BcdLSzmBKUYyb)WajD)GlzEMZOeviDbeFS5RFTLAmiO2JlBuqxxofr1nDU86dkPEzPOwC6xFG4XJen(iFcFLMnE975tGR)tJRhVbC9FkC9Pbw(txE)BOdkxT9VlBXMGQsOC9nWADJyHpv5tObX07R8N9HRpzp7kqxb6EK01uoFxgPIJR7oUnGvsxdUEt46oQHXqH2h5(ke2Tqh6gUlkxH4AeyV1GR70xL)KuYTDqx825TFOf4HvhY(HTbtmO99ntM6MFa7Nabb55)7MygaBdV2q7BEwXgenNpgXxsMooyxbAp8ihPsn7rysXT

jamesb93

#include "ext.h"
#include "ext_obex.h"
#include "ext_time.h"

typedef struct _note_state t_note_state;

typedef struct _note_debounce {
    t_object x_obj;
    double threshold;
    void *out_midi;

jamesb93

autowatch = 1
mgraphics.init()
mgraphics.relative_coords = 0
mgraphics.autofill = 0

// we want to draw this many bars
var bars = []
for (var i=0; i < 8; i++) {
	bars.push(Math.random())
}

jamesb93

from concurrent.futures import ThreadPoolExecutor


def do_work(work_list):
	with ThreadPoolExecutor() as pool:
		def work(inp):
			return f'{inp}----COMPLETE'
		futures = [pool.submit(work, work_item) for work_item in work_list]
		for future in futures:
			print( future.result() )

jamesb93

local math = require('hs.math')
local hyper = {"cmd"}

local function getWindows()
	local win = hs.window.focusedWindow()
	local screen = win:screen()
	return win, screen
end

local function getFrames(win, screen)

jamesb93

import json
from pathlib import Path

help_files = [Path(x) for x in Path("help").glob("*.maxhelp")]

def ezdac_search(patch, patch_name):
    if patch.get("maxclass") == "ezdac~" and not patch.get("local"):
        print(patch_name, patch)
    for k, v in patch.items():      
        if isinstance(v, dict):

jamesb93

import sys
import json
from pathlib import Path

help_file_input = Path(sys.argv[1])

s = ''
with open(help_file_input, 'r') as f:
    s = f.read()
    s = s.replace('"default_fontsize" : 12.0', '"default_fontsize" : 13.0')

jamesb93

desc: Mapping for PHONOS system
author: James Bradbury

slider1:0<-60,0,0.1>1+2
slider2:0<-60,0,0.1>3+4
slider3:0<-60,0,0.1>5+6
slider4:0<-60,0,0.1>7+8
slider5:0<-60,0,0.1>9
slider6:0<-60,0,0.1>10+11
slider7:0<-60,0,0.1>12+13

jamesb93

from colour import Color
import random

massive_fucking_string = ''
for x in range(200):
    hue = random.uniform(0, 1)
    saturation = random.uniform(0.5, 1.0)
    value = random.uniform(0.3, 0.7)
    c = Color(hsl=(hue, saturation, value))
    massive_fucking_string += (str(c)[1:])

jamesb93

import numpy as np

NUM_CHUNKS = 4 # or this could be a ratio of original data
raw_audio = np.array([1, 2, 3, 4, 5, 6, 7, 8])
chunks = np.split(raw_audio, NUM_CHUNKS)
downsampled = [max(chunk) for chunk in chunks]

print(downsampled)