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#!/bin/bash
# Script which uses the cached zellij if it exists;
# otherwise downloads a fresh copy.
# Deletes the cached copy every month.

set -euo pipefail

launchpath="/tmp/zellij/launch"
timepath="/tmp/zellij/last_updated"

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#!/usr/bin/env python3
"""
Copy a directory tree of files over HTTPS.
If HTTP basic auth is required, use an environment variable like
`HTTP_BASIC_AUTH="myuser:mypassword"`.
"""
import os
import sys
from urllib.request import Request, urlopen
from base64 import b64encode

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#!/usr/bin/python

from bs4 import BeautifulSoup
import urllib

path = '/home/tunisia/Desktop/Project Euler/'

for probnum in range(1,444):
    html = BeautifulSoup(urllib.urlopen('http://projecteuler.net/problem=%d' % probnum))
    title = html.h2

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#!/usr/bin/python2

from bs4 import BeautifulSoup
import urllib

path = '/home/tunisia/Projects/rosalind/'

html = BeautifulSoup(urllib.urlopen('http://rosalind.info/problems/list-view/'))

tr_all = html.find_all('tr')

clbarnes

from contextlib import asynccontextmanager
import asyncio as aio

from playwright.async_api import async_playwright

class BrowserPool:
    def __init__(self, n_tabs=10, executable=None) -> None:
        self.executable = executable
        self.n_tabs = n_tabs
        self.tabs_remaining = n_tabs

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import asyncio as aio
from collections import deque
from typing import Awaitable, Iterable, TypeVar


T = TypeVar("T")


class BaseLimit:
    async def limit(self, awa: Awaitable[T]) -> T:

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import asyncio
import datetime as dt
from functools import wraps
from typing import Union
from httpx import AsyncClient

# unless you keep a strong reference to a running task, it can be dropped during execution
# https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task
_background_tasks = set()

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#!/usr/bin/env python3
"""
Transform between networkx v1 and v2+ node_link_data format.
"""

def node_link_data_1_2(
    data: dict, *, source="source", target="target", name="id", key="key", link="links"
):
    """Update the node_link_data in-place for compatibility with networkx v2+.

clbarnes

#!/usr/bin/env python3
"""
Group nodes together in a networkx DiGraph.

Requires networkx.
"""
from typing import Hashable, Any, Callable, Optional
import networkx as nx

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#!/usr/bin/env python3
"""Load a list of images in dask."""
from pathlib import Path
import re
from typing import Callable, Iterable, Optional

import dask.array as da
from dask import delayed
import numpy as np