jsheedy

import io
import sys

class IteratorFile(io.TextIOBase):
    """ given an iterator which yields strings,
    return a file like object for reading those strings """

    def __init__(self, it):
        self._it = it
        self._f = io.StringIO()

jsheedy

FROM python:3.6

RUN mkdir /app
ADD requirements.txt /app/
WORKDIR /app/
RUN pip install -r requirements.txt

CMD [ \
  "watchmedo", \
  "auto-restart", \

jsheedy

import time

import psycopg2

from iter_file import IteratorFile

conn = psycopg2.connect(host="localhost", database="test")

# args = [(1,2), (3,4), (5,6)]
args = [(i,i+1) for i in range(1,1*10**4,2)]

jsheedy

def skeletonize(img):
    """ OpenCV function to return a skeletonized version of img, a Mat object"""

    #  hat tip to http://felix.abecassis.me/2011/09/opencv-morphological-skeleton/

    img = img.copy() # don't clobber original
    skel = img.copy()

    skel[:,:] = 0
    kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (3,3))

jsheedy

import io
import itertools
import shutil
import sys


BLOCK = chr(9608)
ESC = "\x1b["
RST = ESC + "0m"

jsheedy

function run() {
  # usage: run "command string --with-args"
  cmd_output=$(eval $1)
  return_value=$?
  if [ $return_value != 0 ]; then
    echo "Command $1 failed"
    exit -1
  else
    echo "output: $cmd_output"
    echo "Command succeeded."

jsheedy

""" quick hack to press the buttons on the Spotify desktop app based on nanoKONTROL transport buttons using cliclick.
The volume control on slider 1 is especially janky """

import subprocess

import rtmidi

midiin = rtmidi.RtMidiIn()

def print_message(midi):

jsheedy

asyncio + uvloop echo server benchmark

This is an attempt at a bare minimum client/server benchmark of asyncio with optional use of uvloop. On my 2015 macbook pro, I get almost 2.5X improvement using uvloop in the server.

The client runs PARALLEL tasks at once. Running only a single task results in about 1/8 the throughput of 100 simultaneous tasks.

# with uvloop
$ python client.py
satisfied 100000 requests in 1.41021 seconds (70911.42 reqs/s)

jsheedy

cube:
	gcc boring_old_cube.cpp -framework OpenGL -framework GLUT -o boring_old_cube -w

jsheedy

def floyd_steinberg_dither(data):

    result = data.astype(np.float64)

    fs_matrix = np.array( (
        ( np.nan, np.nan, 7/16 ),
        ( 3/16, 5/16, 1/16),
        ), dtype=np.float64 );

    fs_mask = np.array( (