seehuhn

#! /usr/bin/env python3

import faulthandler; faulthandler.enable()
import numpy as np
import cairocffi as cairo

UNITS = {
    'in': 1,
    'cm': 1 / 2.54,
    'mm': 1 / 25.4,

seehuhn

package main

import (
  "database/sql"
	"fmt"
	"time"

	_ "github.com/seehuhn/sqlite3"
)

seehuhn

Entropy = 8.000000 bits per byte.

Optimum compression would reduce the size
of this 1073741824 byte file by 0 percent.

Chi square distribution for 1073741824 samples is 252.69, and randomly
would exceed this value 52.91 percent of the times.

Arithmetic mean value of data bytes is 127.4990 (127.5 = random).
Monte Carlo value for Pi is 3.141597894 (error 0.00 percent).