Hironsan

print('Hello Gist!')

Hironsan

def route(rule, **options):
    def decorator(f):
        print(options)
        print('do something')
        return f
    return decorator


@route('/index', method='POST')
def index():

Hironsan

import os
# import cv2                                                                                                                                                                             


def read_image(file_path):
    # cv2.read(file_path, 1)  # grayscale                                                                                                                                                
    pass


def traverse_dir(path):

Hironsan

from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf


mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
sess = tf.InteractiveSession()
x = tf.placeholder(tf.float32, shape=[None, 784])
y_ = tf.placeholder(tf.float32, shape=[None, 10])
W = tf.Variable(tf.zeros([784,10]))
b = tf.Variable(tf.zeros([10]))

Hironsan

# -*- coding: utf-8 -*-
import datetime
from collections import defaultdict

import dateutil.parser
from application.google_calendar import get_upcoming_events


def extract_intervals(events_list):
    intervals = defaultdict(list)

Hironsan

# -*- coding: utf-8 -*-
import datetime
from collections import defaultdict

import dateutil.parser
from application.google_calendar import get_upcoming_events


def extract_intervals(events_list):
    intervals = defaultdict(list)

Hironsan

import numpy as np
from keras.preprocessing import sequence
from keras.models import Sequential
from keras.layers import Dense, Embedding
from keras.layers import LSTM
from keras.datasets import imdb


def batch_iter(data, labels, batch_size, shuffle=True):
    num_batches_per_epoch = int((len(data) - 1) / batch_size) + 1

Hironsan

# -*- coding: utf-8 -*-
import os

# Load api keys.
consumer_key = os.environ.get('CONSUMER_KEY')
consumer_secret = os.environ.get('CONSUMER_SECRET')
access_token = os.environ.get('ACCESS_TOKEN')
access_token_secret = os.environ.get('ACCESS_TOKEN_SECRET')

Hironsan

# -*- coding: utf-8 -*-
import json
from collections import defaultdict
from pathlib import Path


def find_corpus_fileids(root, regexp):
    p = Path(root)
    return list(p.glob(regexp))

Hironsan

1444062497
284862083
762630884
1188614369
1104161854
1280855887
586449534
1206728554
468429333
566799704