Michael Fogleman fogleman

## distinct.py
def distinct(iterable, keyfunc=None):
    seen = set()
    for item in iterable:
        key = item if keyfunc is None else keyfunc(item)
        if key not in seen:
            seen.add(key)
            yield item

if __name__ == '__main__':
    x = [0, 0, 1, 0, 1, 2, 2, 1, 0]

## index.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <style>body {padding: 0; margin: 0; overflow: hidden;}</style>
</head>
<body>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/dat-gui/0.6.2/dat.gui.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.5.5/p5.min.js"></script>

## nouns.txt
act
air
ant
arm
art
bag
bat
bed
bee
bit

## syncthing.txt
- Install & launch

    $ brew install syncthing
    $ brew services start syncthing

- Install it on your Linode or whatever too
    - https://apt.syncthing.net/

- Visit local dashboard at http://localhost:8384/
- Click `Add Remote Device` to sync with another machine

## warp.py
import cairocffi as cairo
import numpy as np
import random

def random_coefs(order, sigma):
    return [random.gauss(0, sigma) for _ in range(order)]

def random_transform():
    y_dx = random_coefs(5, 0.3)
    y_dy = random_coefs(5, 0.3)

## README.md

      
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                fogleman
                / README.md
            
            
              Last active
              December 8, 2018 09:32
            
              
                Roulette (curve)
              
          
    In the differential geometry of curves, a roulette is a kind of curve, generalizing cycloids, epicycloids, hypocycloids, trochoids, and involutes.
This p5.js sketch implements hypotrochoid and epicycloid roulettes.

  
## heightmap2stl.py
from PIL import Image
from pyhull.delaunay import DelaunayTri
from shapely import geometry
from skimage import measure
from scipy import interpolate
import math
import numpy as np
import struct
import sys

## floats.c
#include <stdint.h>
#include <stdio.h>

typedef union {
    uint32_t a;
    float b;
} float_or_int;

int main() {
    float_or_int u;

## complex.go
package main

import (
	"image"
	"image/color"
	"math"
	"math/cmplx"

	"github.com/fogleman/fauxgl"
	"github.com/fogleman/gg"

## isoline.go
package main

import (
	"fmt"
	"image"
	"image/draw"
	"image/png"
	"math"
	"os"
	def distinct(iterable, keyfunc=None):
	seen = set()
	for item in iterable:
	key = item if keyfunc is None else keyfunc(item)
	if key not in seen:
	seen.add(key)
	yield item

	if __name__ == '__main__':
	x = [0, 0, 1, 0, 1, 2, 2, 1, 0]
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<style>body {padding: 0; margin: 0; overflow: hidden;}</style>
	</head>
	<body>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/dat-gui/0.6.2/dat.gui.min.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.5.5/p5.min.js"></script>
	- Install & launch

	$ brew install syncthing
	$ brew services start syncthing

	- Install it on your Linode or whatever too
	- https://apt.syncthing.net/

	- Visit local dashboard at http://localhost:8384/
	- Click `Add Remote Device` to sync with another machine
	import cairocffi as cairo
	import numpy as np
	import random

	def random_coefs(order, sigma):
	return [random.gauss(0, sigma) for _ in range(order)]

	def random_transform():
	y_dx = random_coefs(5, 0.3)
	y_dy = random_coefs(5, 0.3)
	from PIL import Image
	from pyhull.delaunay import DelaunayTri
	from shapely import geometry
	from skimage import measure
	from scipy import interpolate
	import math
	import numpy as np
	import struct
	import sys
	#include <stdint.h>
	#include <stdio.h>

	typedef union {
	uint32_t a;
	float b;
	} float_or_int;

	int main() {
	float_or_int u;
	package main

	import (
	"image"
	"image/color"
	"math"
	"math/cmplx"

	"github.com/fogleman/fauxgl"
	"github.com/fogleman/gg"
	package main

	import (
	"fmt"
	"image"
	"image/draw"
	"image/png"
	"math"
	"os"