Sangarshanan

Sangarshanan

Sangarshanan

noise()
.color(() => a.fft[2]*2,0,.6)
.modulate(noise(() => a.fft[0]*10))
.scale(()=> a.fft[2]*5)
.layer(
  src(o0)
  .mask(osc(10).modulateRotate(osc(),90,0))
  .scale(() => a.fft[0]*2)
  .luma(0.2,0.3)
)

Sangarshanan

// First upload (misc exp)
stack(
  n("<0*2 1 [4 2] 3*2>*4").sound("wind"),

  note("[C G], <D Fb B C A>*[0.5,2]")
  .sound("space").gain(3)
  .lpf("<100 200 300 400 500 600 700 800 900 1000 1100 1000 900 800 700 600 500 400 300 200>/4")
  .room(1)
  .pan("<0 1>/2")  
  .delay(1)

Sangarshanan

-- fit 3 $ circle [sin cps, osc 0] [osc 0.5, 0.5] * (osc ft) * 0.2 >> video;
-- fit 3 $ circle [0, sin cps] [osc 0.5, 0.5] * 0.2 >> video;

circle [0.0, 0.0] (osc ft) * 0.3 >> red;
fit 1 $ circle [osc 0.1, 0.0] (osc ft) * 0.3 >> blue;
fit 1 $ circle [0.1, osc 0.1] (osc ft) * 0.3 >> green;


-- mesh [0,0.1] [0.5,0.5] * (osc ft) * 0.2 >> blue;
-- mesh [0,-0.1] [0.5,0.5] * (osc ft) * 0.2 >> video;

Sangarshanan

Sangarshanan

// A Lonely Spaceship Travelling the Expanse of the Universe

function setup() {
  // A Nice Canvas to Draw
  createCanvas(350, 600);
}

function SpaceBackground() {
  // Space is Dark
  background(0, 0, 0);

Sangarshanan

"""
Folium choloropeth with suport for Branca colormaps and custom feature functions
"""
import folium
import warnings
import numpy as np
from folium.map import FeatureGroup
from branca.utilities import color_brewer
from branca.colormap import ColorMap, StepColormap, LinearColormap

Sangarshanan

"""Count Min Hash."""

from hashlib import md5, sha1, blake2b, sha3_512


def get_row_column(value, hash_fns, m):
    """Fetch Row and Column."""
    for row, _hash_fn in enumerate(hash_fns):
        column = (
            int(

Sangarshanan

"""Hyper Log Log."""
import math
from hashlib import sha1

class HyperLogLog(object):
    """HyperLogLog."""

    def __init__(self, k):
        """Initialize Bucket Size."""
        self.k = k