



from __future__ import annotations

lowerCamelCase__			= """Muhammad Umer Farooq"""
lowerCamelCase__			= """MIT"""
lowerCamelCase__			= """1.0.0"""
lowerCamelCase__			= """Muhammad Umer Farooq"""
lowerCamelCase__			= """contact@muhammadumerfarooq.me"""
lowerCamelCase__			= """Alpha"""

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

import requests






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):





							def __init__(   self		:		Any      ,				__lowercase		:		str	):

											'''simple docstring'''
											super().__init__()
											__a       =		[]
											__a       =		domain







							def 						UpperCamelCase_					(   self		:		Union[str, Any]      ,				__lowercase		:		str      ,				__lowercase		:		list[tuple[str, str | None]]	):

											'''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:
																											__a       =		parse.urljoin(self.domain      ,				__lowercase	)
																											self.urls.append(__lowercase	)



def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







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

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				return parse.urlparse(_SCREAMING_SNAKE_CASE    ).netloc

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str = "https://github.com"    ):
				"""simple docstring"""







				__a       =		get_domain_name(_SCREAMING_SNAKE_CASE    )

				# Initialize the parser
				__a       =		Parser(_SCREAMING_SNAKE_CASE    )

				try:
								# Open URL
								__a       =		requests.get(_SCREAMING_SNAKE_CASE    )

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

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

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


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





import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__			,      unittest.TestCase					):
							__lowerCamelCase	:	Optional[int]    =BlenderbotSmallTokenizer
							__lowerCamelCase	:	str    =False





							def 						UpperCamelCase_					(   self		:		Union[str, Any]	):

											'''simple docstring'''
											super().setUp()

											__a       =		["""__start__""", """adapt""", """act""", """ap@@""", """te""", """__end__""", """__unk__"""]
											__a       =		dict(zip(__lowercase      ,				range(len(__lowercase	)	)	)	)

											__a       =		["""#version: 0.2""", """a p""", """t e</w>""", """ap t</w>""", """a d""", """ad apt</w>""", """a c""", """ac t</w>""", """"""]
											__a       =		{"""unk_token""": """__unk__""", """bos_token""": """__start__""", """eos_token""": """__end__"""}

											__a       =		os.path.join(self.tmpdirname      ,				VOCAB_FILES_NAMES["""vocab_file"""]	)
											__a       =		os.path.join(self.tmpdirname      ,				VOCAB_FILES_NAMES["""merges_file"""]	)
											with open(self.vocab_file      ,				"""w"""      ,				encoding="""utf-8"""	) as fp:
															fp.write(json.dumps(__lowercase	) + """\n"""	)
											with open(self.merges_file      ,				"""w"""      ,				encoding="""utf-8"""	) as fp:
															fp.write("""\n""".join(__lowercase	)	)





							def 						UpperCamelCase_					(   self		:		Optional[Any]      ,				**__lowercase		:		Dict	):

											'''simple docstring'''
											kwargs.update(self.special_tokens_map	)
											return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname      ,				**__lowercase	)





							def 						UpperCamelCase_					(   self		:		Union[str, Any]      ,				__lowercase		:		Optional[Any]	):

											'''simple docstring'''
											__a       =		"""adapt act apte"""
											__a       =		"""adapt act apte"""
											return input_text, output_text





							def 						UpperCamelCase_					(   self		:		Optional[Any]	):

											'''simple docstring'''
											__a       =		BlenderbotSmallTokenizer(self.vocab_file      ,				self.merges_file      ,				**self.special_tokens_map	)
											__a       =		"""adapt act apte"""
											__a       =		["""adapt""", """act""", """ap@@""", """te"""]
											__a       =		tokenizer.tokenize(__lowercase	)
											self.assertListEqual(__lowercase      ,				__lowercase	)

											__a       =		[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

											__a       =		[0, 1, 2, 3, 4, 5]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase	)      ,				__lowercase	)





							def 						UpperCamelCase_					(   self		:		Optional[int]	):

											'''simple docstring'''
											__a       =		BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M"""	)
											assert tok("""sam"""	).input_ids == [1384]
											__a       =		"""I am a small frog."""
											__a       =		tok([src_text]      ,				padding=__lowercase      ,				truncation=__lowercase	)["""input_ids"""]
											__a       =		tok.batch_decode(__lowercase      ,				skip_special_tokens=__lowercase      ,				clean_up_tokenization_spaces=__lowercase	)[0]
											assert src_text != decoded  # I wish it did!
											assert decoded == "i am a small frog ."







							def 						UpperCamelCase_					(   self		:		Tuple	):

											'''simple docstring'''
											__a       =		BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M"""	)
											__a       =		"""I am a small frog ."""
											__a       =		"""."""
											__a       =		tok(__lowercase	)["""input_ids"""]
											__a       =		tok(__lowercase	)["""input_ids"""]

											assert encoded[-1] == encoded_dot[0]
