Kcrong

I will provide git diff, Write me a PR title and PR description in markdown code. And more concise description, the better. 
When you response, separate title section and description section so I can copy it easily. title and description must wrapped in the separated markdown code format. DO NOT MIX UP git diff CONTEXTS AMONG MESSAGES.

The PR title must have title itself only. Do not add any other stuff.

The PR description must follow the below format. (Refer three section below)
## What
## Why
## Test

Kcrong

ai = input('num 1: ')
bi = input('num 2: ')
ci = input('num 3: ')

inp = sorted([ai, bi, ci])
operators = ['>', '==', '<']


def exp_c(a, b, op):
    return eval("{} {} {}".format(a, op, b))

Kcrong

# with for loop
# range() --> starts from 0

def with_for_loop():
  for i in range(10):
    print('Hit %d times' % (i+1))
  print('The tree fell down!!')
  
def with_while_loop():
  hit = 0

Kcrong

def seq2dataset(seq, window_size):
    dataset = []
    for i in range(len(seq)-window_size):
        subset = seq[i:(i+window_size+1)]
        dataset.append([code2idx[item] for item in subset])
    return np.array(dataset)

Kcrong

code2idx = {'c4':0, 'd4':1, 'e4':2, 'f4':3, 'g4':4, 'a4':5, 'b4':6,
            'c8':7, 'd8':8, 'e8':9, 'f8':10, 'g8':11, 'a8':12, 'b8':13}

idx2code = {0:'c4', 1:'d4', 2:'e4', 3:'f4', 4:'g4', 5:'a4', 6:'b4',
            7:'c8', 8:'d8', 9:'e8', 10:'f8', 11:'g8', 12:'a8', 13:'b8'}

# Or use dict comprehension
idx2code = {v: k for k, v in code2idx.items()}

Kcrong

# Whole data
seq = ['g8', 'e8', 'e4', 'f8', 'd8', 'd4', 'c8', 'd8', 'e8', 'f8', 'g8', 'g8', 'g4',
       'g8', 'e8', 'e8', 'e8', 'f8', 'd8', 'd4', 'c8', 'e8', 'g8', 'g8', 'e8', 'e8', 'e4',
       'd8', 'd8', 'd8', 'd8', 'd8', 'e8', 'f4', 'e8', 'e8', 'e8', 'e8', 'e8', 'f8', 'g4',
       'g8', 'e8', 'e4', 'f8', 'd8', 'd4', 'c8', 'e8', 'g8', 'g8', 'e8', 'e8', 'e4']

Kcrong

http://tykimos.github.io/warehouse/2017-3-8_CNN_Getting_Started_handwriting_shape.zip

Kcrong

Kcrong

from keras.utils import np_utils
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Activation

(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = x_train.reshape(x_train.shape[0], 784).astype('float32') / 255.0
x_test = x_test.reshape(x_test.shape[0], 784).astype('float32') / 255.0
y_train = np_utils.to_categorical(y_train)
y_test = np_utils.to_categorical(y_test)

Kcrong

"""
1. main 함수에서 `async def A`를 호출 후 await 하고, 반환값을 받아 다시 `async def B`를 호출하는 방식

"""


import asyncio
from socket import socket, AF_INET, SOCK_STREAM