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)

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

"""
Data augmentation. 
"""

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

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

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):