Alexander Karpinsky homm

## canvas.html
<!DOCTYPE html>
<html>
<head>
  <title></title>
</head>
<body>

  <canvas id="c"></canvas>

  <style type="text/css">

## run.sh
#!/bin/bash -e

BRANCHES=( 3.2.0 new-filters resample-adaptve
  v3.2.0.post1 v3.2.0.post3 resample-sse-next simd/resample-adaptive )

echo ">>> CPU INFO"
cat /proc/cpuinfo

virtualenv env
source ./env/bin/activate

## ImageMagickTest.sh
#!/bin/bash

SRC=$1
RUNS=5
IM="~/ImageMagick8/bin/convert -bench $RUNS -limit thread 1"
# IM="gm benchmark -iterations $RUNS convert -limit threads 1"
RES="2>&1 | grep '=>/dev/null' | grep -Po '\d+:\K\d+\.\d+' | sort | sed '3!d'"

echo -n "Triangle 16x16  "
eval "$IM -verbose $SRC -filter Triangle -resize 16x16! bmp:/dev/null $RES"

## aiostreamsbench.py
import time
import functools
import asyncio
from aiohttp import StreamReader


def make_async(fn):
    @functools.wraps(fn)
    def async(*args, **kwargs):
        f = asyncio.futures.Future()

## django_orm_iterators.py
from django.db import connections, DEFAULT_DB_ALIAS

def real_queryset_iterator(qs, pk='pk', chunk_size=5000):
    qs = qs.order_by(pk)

    if pk.startswith('-'):
        pk = pk[1:]
        lookup = pk + '__lt'
    else:
        lookup = pk + '__gt'

## threadhell.py
import time
import thread
import urllib2

from yurl import URL
from bs4 import BeautifulSoup


class Spider(object):
    def __init__(self, base_url, max_threads=50):

## bench.py
#!/usr/bin/env python

from PIL import Image
from timeit import repeat

def prepare_test_images(dim):
    """Plese, be careful with dim > 32. Result image is have dim ** 4 pixels
    (i.e. 1Mpx for 32 dim or 4Gpx for 256 dim).
    """
    i1 = bytearray(dim ** 4 * 2)

## image.py
# -*- coding: utf-8 -*-

from PIL import Image, ImageMath


def paste_composite(original, paste):
    """
    Вставляет в первое изображение второе, с учетом альфаканала обоих.
    Оба изображения должны быть в формате RGBA.
    """

## bench.py
from PIL import Image
from timeit import repeat
from image import paste_composite

im1 = Image.open('in1.png')
im1.load()

im2 = Image.open('in2.png')
im2.load()

## pyjson.py

from __future__ import print_function
import re

ws_match = re.compile(r'[ \t\n\r]*').match
number_match = re.compile(
    r'(-?(?:0|[1-9]\d*))(\.\d+)?([eE][-+]?\d+)?[ \t\n\r]*',
    (re.VERBOSE | re.MULTILINE | re.DOTALL)).match
nan = float('nan')
inf = float('inf')
	<!DOCTYPE html>
	<html>
	<head>
	<title></title>
	</head>
	<body>

	<canvas id="c"></canvas>

	<style type="text/css">
	#!/bin/bash -e

	BRANCHES=( 3.2.0 new-filters resample-adaptve
	v3.2.0.post1 v3.2.0.post3 resample-sse-next simd/resample-adaptive )

	echo ">>> CPU INFO"
	cat /proc/cpuinfo

	virtualenv env
	source ./env/bin/activate
	#!/bin/bash

	SRC=$1
	RUNS=5
	IM="~/ImageMagick8/bin/convert -bench $RUNS -limit thread 1"
	# IM="gm benchmark -iterations $RUNS convert -limit threads 1"
	RES="2>&1 \| grep '=>/dev/null' \| grep -Po '\d+:\K\d+\.\d+' \| sort \| sed '3!d'"

	echo -n "Triangle 16x16 "
	eval "$IM -verbose $SRC -filter Triangle -resize 16x16! bmp:/dev/null $RES"
	import time
	import functools
	import asyncio
	from aiohttp import StreamReader


	def make_async(fn):
	@functools.wraps(fn)
	def async(args, *kwargs):
	f = asyncio.futures.Future()
	from django.db import connections, DEFAULT_DB_ALIAS

	def real_queryset_iterator(qs, pk='pk', chunk_size=5000):
	qs = qs.order_by(pk)

	if pk.startswith('-'):
	pk = pk[1:]
	lookup = pk + '__lt'
	else:
	lookup = pk + '__gt'
	import time
	import thread
	import urllib2

	from yurl import URL
	from bs4 import BeautifulSoup


	class Spider(object):
	def __init__(self, base_url, max_threads=50):
	#!/usr/bin/env python

	from PIL import Image
	from timeit import repeat

	def prepare_test_images(dim):
	"""Plese, be careful with dim > 32. Result image is have dim ** 4 pixels
	(i.e. 1Mpx for 32 dim or 4Gpx for 256 dim).
	"""
	i1 = bytearray(dim ** 4 * 2)
	# -- coding: utf-8 --

	from PIL import Image, ImageMath


	def paste_composite(original, paste):
	"""
	Вставляет в первое изображение второе, с учетом альфаканала обоих.
	Оба изображения должны быть в формате RGBA.
	"""
	from PIL import Image
	from timeit import repeat
	from image import paste_composite

	im1 = Image.open('in1.png')
	im1.load()

	im2 = Image.open('in2.png')
	im2.load()

	from __future__ import print_function
	import re

	ws_match = re.compile(r'[ \t\n\r]*').match
	number_match = re.compile(
	r'(-?(?:0\|[1-9]\d))(\.\d+)?([eE][-+]?\d+)?[ \t\n\r]',
	(re.VERBOSE \| re.MULTILINE \| re.DOTALL)).match
	nan = float('nan')
	inf = float('inf')