Cleiton Junior Mittmann mittmannv8

## learn-reactjs.html
<!DOCTYPE html>
<html>
<head>
    <title>React.js learn</title>

    <style type="text/css">
    * {
        margin: 0;
        padding: 0;
    }

## bin_string.py
import binascii

# Bin to string
def tostring(b):
  b = int(b, 2)
  return binascii.unhexlify('%x' % b)

# String to bin
def tobin(s):
  return bin(int(binascii.hexlify(s), 16))

## promocoes.py
from utils import promo


@promo
def fidelity_promo(order):
    """5% discount for customers with 1000 or more fidelity points"""
    return order.total() * .05 if order.customer.fidelity >= 1000 else 0


@promo

## strategy_best.py
# strategy_best.py
# Strategy pattern -- function-based implementation
# selecting best promotion from static list of functions

"""
    >>> joe = Customer('John Doe', 0)
    >>> ann = Customer('Ann Smith', 1100)
    >>> cart = [LineItem('banana', 4, .5),
    ...         LineItem('apple', 10, 1.5),
    ...         LineItem('watermellon', 5, 5.0)]
	<!DOCTYPE html>
	<html>
	<head>
	<title>React.js learn</title>

	<style type="text/css">
	* {
	margin: 0;
	padding: 0;
	}
	import binascii

	# Bin to string
	def tostring(b):
	b = int(b, 2)
	return binascii.unhexlify('%x' % b)

	# String to bin
	def tobin(s):
	return bin(int(binascii.hexlify(s), 16))
	from utils import promo


	@promo
	def fidelity_promo(order):
	"""5% discount for customers with 1000 or more fidelity points"""
	return order.total() * .05 if order.customer.fidelity >= 1000 else 0


	@promo
	# strategy_best.py
	# Strategy pattern -- function-based implementation
	# selecting best promotion from static list of functions

	"""
	>>> joe = Customer('John Doe', 0)
	>>> ann = Customer('Ann Smith', 1100)
	>>> cart = [LineItem('banana', 4, .5),
	... LineItem('apple', 10, 1.5),
	... LineItem('watermellon', 5, 5.0)]