ababycat

def calcId(digit):
    if not isinstance(digit, int) or len(str(digit)) != 17:
        return False
    table = '10X123456789'
    alpha = [7, 9, 10, 5, 8, 4, 2, 1, 6, 3, 7, 9, 10, 5, 8, 4, 2]
    return table[sum([int(x)*a for x, a in zip(str(digit), alpha)]) % 11]
    

def isGoodId(instr):

ababycat

def permutation(array):
    if len(array) == 1:
        return [array]
    output = []
    for i in range(len(array)):
        if i == len(array) - 1:
            remain = array[0:i]
        else:
            remain = array[0:i] + array[i+1:]
        for back in permutation(remain):

ababycat

import numpy as np

method_list = [1, 2, 3]

for method in method_list:
    for i in range(2000):
        length = 10000
        a = np.random.randn(length).astype(np.float32)
        b = np.random.randn(length).astype(np.float32)
        # non-stable when theta is small

ababycat

import os
import shutil
from math import ceil, floor
import numpy as np
import cv2

"""
Data augmentation. 
"""

ababycat

import numpy as np
import matplotlib.pyplot as plt

SIGMA = 1

def gauss(x, mu, sigma, eps=1e-8):
    return 1./np.sqrt(np.pi*2*sigma**2+eps) * np.exp(-(x-mu)**2/(2*sigma**2+eps))

def gauss_vec(x, mu, sigma, eps=1e-8):
    """ x:  Nx1

ababycat

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

def f1_score(precision, recall):
    return precision*recall/(precision+recall)

x = np.arange(1e-3, 1, 1e-3)
y = np.arange(1e-3, 1, 1e-3)
X, Y = np.meshgrid(x, y)