






"""simple docstring"""







from __future__ import annotations

a			:    Any				 =		"""Muhammad Umer Farooq"""
a			:    str				 =		"""MIT"""
a			:    List[Any]				 =		"""1.0.0"""
a			:    Union[str, Any]				 =		"""Muhammad Umer Farooq"""
a			:    str				 =		"""contact@muhammadumerfarooq.me"""
a			:    List[str]				 =		"""Alpha"""

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

import requests


class    __UpperCAmelCase(       SCREAMING_SNAKE_CASE__							):




						"""simple docstring"""




						def __init__(       self	,  snake_case__      ):
												'''simple docstring'''
												super().__init__()
												lowercase__    :				list[str]=	[]
												lowercase__    :				Dict=	domain




						def 		UpperCAmelCase_	(       self	,  snake_case__	,  snake_case__      ):
												'''simple docstring'''
												# Only parse the 'anchor' tag.
												if tag == "a":
																		# Check the list of defined attributes.
																		for name, value in attrs:
																								# If href is defined, and not empty nor # print it.
																								if name == "href" and value != "#" and value != "":
																														# If not already in urls.
																														if value not in self.urls:
																																				lowercase__    :				Union[str, Any]=	parse.urljoin(self.domain	,  snake_case__      )
																																				self.urls.append(snake_case__      )





def 						lowercase__(A						)    ->str:




						"""simple docstring"""



						return ".".join(get_sub_domain_name(A						).split("."						)[-2:]						)





def 						lowercase__(A						)    ->str:




						"""simple docstring"""



						return parse.urlparse(A						).netloc





def 						lowercase__(A = "https://github.com"						)    ->list[str]:




						"""simple docstring"""



						lowercase__    :				Union[str, Any]=	get_domain_name(A						)

						# Initialize the parser
						lowercase__    :				List[Any]=	Parser(A						)

						try:
												# Open URL
												lowercase__    :				List[str]=	requests.get(A						)

												# pass the raw HTML to the parser to get links
												parser.feed(r.text						)

												# Get links and loop through
												lowercase__    :				Tuple=	set()
												for link in parser.urls:
																		# open URL.
																		# read = requests.get(link)
																		try:
																								lowercase__    :				str=	requests.get(A						)
																								# Get the valid email.
																								lowercase__    :				Union[str, Any]=	re.findall("[a-zA-Z0-9]+@" + domain ,		read.text						)
																								# If not in list then append it.
																								for email in emails:
																														valid_emails.add(A						)
																		except ValueError:
																								pass
						except ValueError:
												raise SystemExit(1						)

						# Finally return a sorted list of email addresses with no duplicates.
						return sorted(A						)


if __name__ == "__main__":
			a			:    int				 =		emails_from_url("""https://github.com""")
			print(F"""{len(emails)} emails found:""")
			print("""\n""".join(sorted(emails)))














"""simple docstring"""







from pathlib import Path

import fire
from tqdm import tqdm





def 						lowercase__(A="ro" ,		A="en" ,		A="wmt16" ,		A=None						)    ->None:




						"""simple docstring"""



						try:
												import datasets
						except (ModuleNotFoundError, ImportError):
												raise ImportError("run pip install datasets"						)
						lowercase__    :				int=	f'''{src_lang}-{tgt_lang}'''
						print(f'''Converting {dataset}-{pair}'''						)
						lowercase__    :				List[Any]=	datasets.load_dataset(A ,		A						)
						if save_dir is None:
												lowercase__    :				Union[str, Any]=	f'''{dataset}-{pair}'''
						lowercase__    :				str=	Path(A						)
						save_dir.mkdir(exist_ok=A						)

						for split in ds.keys():
												print(f'''Splitting {split} with {ds[split].num_rows} records'''						)

												# to save to val.source, val.target like summary datasets
												lowercase__    :				Any=	"val" if split == "validation" else split
												lowercase__    :				List[Any]=	save_dir.joinpath(f'''{fn}.source'''						)
												lowercase__    :				Optional[Any]=	save_dir.joinpath(f'''{fn}.target'''						)
												lowercase__    :				Optional[int]=	src_path.open("w+"						)
												lowercase__    :				Any=	tgt_path.open("w+"						)

												# reader is the bottleneck so writing one record at a time doesn't slow things down
												for x in tqdm(ds[split]						):
																		lowercase__    :				int=	x["translation"]
																		src_fp.write(ex[src_lang] + "\n"						)
																		tgt_fp.write(ex[tgt_lang] + "\n"						)

						print(f'''Saved {dataset} dataset to {save_dir}'''						)


if __name__ == "__main__":
			fire.Fire(download_wmt_dataset)






