xjcl

# usage:  (python3 a.py < a.in) > a.out
import time, sys, inspect, platform

print = lambda *a, **k: __builtins__.print(str(inspect.currentframe().f_back.f_lineno)+':',
    *a, file=sys.stderr, **k) if platform.node() in ['surfux', 'ssd'] else ...

class EndTestCase(Exception): pass

#---------------------------------------------

xjcl

# usage:  (python3 a.py < a.in) > a.out
import time, sys, inspect, platform

print = lambda *a, **k: __builtins__.print(str(inspect.currentframe().f_back.f_lineno)+':',
    *a, file=sys.stderr, **k) if platform.node() in ['surfux', 'ssd'] else ...

#---------------------------------------------

'''
i know this is 'sort-by-goodness'

xjcl

import requests

import asyncio
import aiohttp
import aiofiles


get_img_url = lambda i: 'https://cdn.discordapp.com/embed/avatars/' + str(i) + '.png'

def download_all_sync():

xjcl

import asyncio
import time

async def say_after(delay, what):
    await asyncio.sleep(delay)
    print(what)

async def use_await():
    await say_after(3, 'world')
    await say_after(2, 'hello')

xjcl

@client.event
async def on_ready():
    while True:
        await asyncio.sleep(24*60*60)
        print('Another day has passed!')

@client.event
async def on_message(message):
    if message.author == client.user:  return   # Do not reply to self
    await message.channel.send('I can still respond to your messages!')

xjcl

#!/usr/bin/env python
# modified from https://gist.github.com/rasher/4208507 (python 2)

import sys
from datetime import datetime
from praw import Reddit
from collections import defaultdict

r = Reddit(user_agent='flairstats/0.1 by <YOUR USERNAME>',
    client_id='<GET THESE AS DESCRIBED HERE:', client_secret='https://praw.readthedocs.io/en/latest/getting_started/quick_start.html>',

xjcl

import sys
import numpy as np


num_rows, num_cols, min_ingr, max_size = [int(x) for x in input().split(' ')]
pizza = np.array([[int(x == 'T') for x in input()] for i in range(num_rows)])

output = []
dead = np.zeros_like(pizza).astype(int)

xjcl

import numpy as np
import matplotlib.pyplot as plt

data = [
    ['not Trump', 128-91],
    ['Trump', 91],
]

data_x = [d[0] for d in data][::-1]
data_y = [d[1] for d in data]

xjcl

# import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt

data = [
    ['India', 16],
    ['United States', 56],
    ['Bangladesh', 57],
    ['France', 71],

xjcl

# Program to find occurrences of one audio clip inside another audio clip.

# you need to youtube-dl the video with id mPdcedZ9GxE for the example
# WARNING! example requires 3GB of free RAM

from moviepy.editor import *

from numpy import *
from scipy.signal import *