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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')

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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+.

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#!/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

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from functools import lru_cache, wraps
from typing import Optional, Callable
from copy import copy, deepcopy


def copy_cache(deep: bool = True, maxsize: Optional[int] = 128, typed: bool = False):
    """Decorator factory wrapping functools.lru_cache, which copies return values.

    Use this for functions with mutable return values.

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#!/usr/bin/env python3
"""Module for building pandas DataFrames by row."""
from collections.abc import Sequence, Collection
import typing as tp

import pandas as pd


class DataFrameBuilder:
    def __init__(

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#!/bin/sh
set -e
if [ $# -eq 0 ]; then
        >&2 echo "No argument given, using ls"
        exec ls
elif [ -d "$1" ]; then
        >&2 echo "Directory detected, using ls"
        exec ls "$1"
elif [ -f "$1" ]; then
        >&2 echo "File detected, using less"