wizardofozzie

blueprint:
  name: Wake-up light alarm with sunrise effect
  description: 'A wake-up light alarm with a brightness and color temperature sunrise
    effect. Note: Requires date_time_iso sensor in configuration, not manually executable!'
  domain: automation
  input:
    light_entity: light.bedroom_lights
      name: Wake-up light entity
      description: 'The light to control. Turning it off during the sunrise will keep
        it off. Color temperature range is auto-detected.'

wizardofozzie

#New sierpinski fractal animation:


#Code is sloppy, I'll probably clean it up later:

# coding: utf-8
from images2gif import writeGif
from PIL import Image, ImageDraw, ImageChops

import console

wizardofozzie

1. Learn Python the Hard Way - Great introductory course to python and programming
2. The Python Guide - After you have a cursory idea of python, this is great
3. Code Like a Pythonista: Idiomatic Python - For learning the "pythonic" way of doing things
4. Tango with Django - Great intro to building python web applications
5. Intro to Flask, TDD, and jQuery
6. Selenium's Page Object Pattern for testing websites
7. The Python Yield Keyword Explained - Good precursor to the generator tricks
8. Incredible guide on Python's __ (underscore) methods - Must read for anyo

wizardofozzie

import websocket, thread, time, json, datetime, sys, os

def set_exit_handler(func):
    if os.name == "nt":
        try:
            import win32api
            win32api.SetConsoleCtrlHandler(func, True)
        except ImportError:
            version = ".".join(map(str, sys.version_info[:2]))
            raise Exception("pywin32 not installed for Python " + version)

wizardofozzie

Transactions:
504658563f231e71f79312e96da2cc13e779875ac262269b1b8f9f04e527dfc9
a1faf7b6db5bb4ef4a39911ca54152df57758e128cd19fbf16178aea59e06c87
b1346f1ab63dc90cb592028e1f7283f02b54e46afb35b9145ad91ac2a55877be
e61458c302d75b8e0925d4bb0da5466c0a76d60dce506cc766b2d3f160b1d0a5

Addresses:
1BwJgbMKb7nz4GZ3uTDTbpovzznTrBbyJE
1DnJ4rzDpSG5GJsXNyXE7f17rky8wc1RLT 
1Q6M9Vyuv5RyeuqpgJfCUCWrM2yrSb45BD

wizardofozzie

More later...

wizardofozzie

'''
Just to illustrate idea on how I believe the maximum block size should be determined.

My idea stems from a simple scalability metric that affects real users and the desire to use Bitcoin:
Waiting times to get your transactions confirmed on the blockchain. 
Anything past 45mins-1 hour should be unnacceptable.

Initially I wanted to measure the mean time for the transactions in blocks to go from being sent by the user
(initial broadcast into mempools) until the transaction was effectively 
confirmed on the blockchain, say for 2 blocks (acceptable 15~20mins)

wizardofozzie

#!/usr/bin/python  ## JORDAN arithmetic (OLD) rather than Jacobian ## ##  from .py2specials import * from .py3specials import * import binascii import hashlib import re import sys import os import base64 import time import random import hmac from bitcoin.ripemd import *  # Elliptic curve parameters (secp256k1)  P = 2**256 - 2**32 - 977 N = 115792089237316195423570985008687907852837564279074904382605163141518161494337 A = 0 B = 7 Gx = 55066263022277343669578718895168534326250603453777594175500187360389116729240 Gy = 32670510020758816978083085130507043184471273380659243275938904335757337482424 G = (Gx, Gy)   def change_curve(p, n, a, b, gx, gy):     global P, N, A, B, Gx, Gy, G     P, N, A, B, Gx, Gy = p, n, a, b, gx, gy     G = (Gx, Gy)   def getG():     return G  # Extended Euclidean Algorithm   def inv(a, n):     lm, hm = 1, 0     low, high = a % n, n     while low > 1:         r = high//low         nm, new = hm-lm*r, high-low*r         lm, low, hm, high = nm, new, lm, low     return lm % n    # JSON access 

wizardofozzie

あいこくしん
あいさつ
あいだ
あおぞら
あかちゃん
あきる
あけがた
あける
あこがれる
あさい

wizardofozzie

https://torrentz.eu/0a1d873e347ae64b70b9ff2c7e9e5f29c66534cb