moskomule

#!/bin/bash

# download and unzip dataset
#wget http://cs231n.stanford.edu/tiny-imagenet-200.zip
unzip tiny-imagenet-200.zip

current="$(pwd)/tiny-imagenet-200"

# training data
cd $current/train

moskomule

FROM ubuntu:latest
RUN apt-get update
RUN apt-get install -y mecab libmecab-dev mecab-ipadic-utf8

moskomule

from functools import singledispatch
import numpy as np

@singledispatch
def test_function(arg):
  print("default")

@test_function.register(int)
def _(arg):
  print(f"arg is integer {arg}")

moskomule

\begin{tikzpicture}[->,>=stealth,shorten >=1pt,auto,node distance=2cm,
                    semithick, 
                    val/.style={circle,fill=cyan,opacity=.6}]
    \node[val] (a) {$1$};
	\node[right=0.1cm of a] (a1) {$u_{1}$};
    \node[above=0.1cm of a] (b) {$l$};
	\node[below=0.3cm of a] (c) {$\vdots$};
	\node[val, below=0.3cm of c] (d) {$i$};
	\node[below=0.3cm of d] (d2) {$\vdots$};
	\node[right=0.1cm of d] (d1) {$u_{i}$};

moskomule

import matplotlib
import os

# style setting
matplotlib.style.use('seaborn-white')

# font setting
fp = matplotlib.font_manager.FontProperties(fname=os.path.expanduser('~/Library/Fonts/ipaexg.ttf'))
plt.rcParams['font.family'] = fp.get_name()
plt.plot(0, 1)

moskomule

import timeit
import functools

@functools.lru_cache(maxsize=None)
def fib(x):
  if x < 2:
    return x
   return fib(x-1) + fib(x-2)
   
print(timeit.timeit('fib(100)', setup="from __main__ import fib"))

moskomule

from html.parser import HTMLParser
import urllib.request
import re

def download(url, path):
    with urllib.request.urlopen(url) as file:
        file_name = path + "/" + url.split("/")[-1]
        with open(file_name, 'wb') as local:
            local.write(file.read())

moskomule

import tweepy
import time
api = tweepy.API(auth)
with open("log.txt", 'w') as f:
    for i in range(1,100):
        users_tweets = api.user_timeline(id=user,page=i,include_entities=True,count=100)
        for tweet in users_tweets:
            f.write(tweet.entities['urls'][0]["expanded_url"] + "\n")
        time.sleep(30)

moskomule

import os
import shutil
import random

src_name = 'train/'
drc_name = 'val/'
src_dir = os.listdir(src_name)[1:]

for sub_src_dir in src_dir:
    os.mkdir(drc_name+sub_src_dir)

moskomule

import pandas as pd
csv = pd.read_csv(file_name)
# csv
# "0", "1"
# Tom, 2
# John, 3
#...

csv["2"] = np.zeros(len(csv))
for i in range(len(csv)):