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#coding=utf-8
'''
Created on 2016年9月27日
@author: dengdan
'''
import numpy as np
import time
import random
rng = np.random.RandomState(int(time.time()))
rand = np.random.rand
"""
Create an array of the given shape and populate it with random samples from a uniform distribution over [0, 1)
"""
def normal(shape, mu = 0, sigma_square = 1):
return rng.normal(mu, np.sqrt(sigma_square), shape)
def randint(low = 2 ** 30, high = None, shape = None):
"""
low: the higher bound except when high is not None.
high: when it is not none, low must be smaller than it
shape: if not provided, a scalar will be returned
"""
return rng.randint(low = low, high = high, size = shape)
def shuffle(lst):
random.shuffle(lst)
def sample(lst, n):
return random.sample(lst, n)
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