

from dataclasses import dataclass, field
from typing import Optional

from transformers import AutoConfig, AutoImageProcessor, AutoTokenizer, FlaxVisionEncoderDecoderModel, HfArgumentParser





@dataclass
class 					__lowerCAmelCase	:
  _a		     =    field(
      metadata={"""help""": """The output directory where the model will be written."""}     ,     )
  _a		     =    field(
      metadata={
          """help""": (
              """The encoder model checkpoint for weights initialization."""
              """Don\'t set if you want to train an encoder model from scratch."""
          )
      }     ,     )
  _a		     =    field(
      metadata={
          """help""": (
              """The decoder model checkpoint for weights initialization."""
              """Don\'t set if you want to train a decoder model from scratch."""
          )
      }     ,     )
  _a		     =    field(
      default=SCREAMING_SNAKE_CASE     ,     metadata={"""help""": """Pretrained encoder config name or path if not the same as encoder_model_name"""}				)
  _a		     =    field(
      default=SCREAMING_SNAKE_CASE     ,     metadata={"""help""": """Pretrained decoder config name or path if not the same as decoder_model_name"""}				)
def 	a (     )       -> Union[str, Any]:





      """simple docstring"""



      _lowercase      			=HfArgumentParser((ModelArguments,)	)
      ((_lowercase )			,			 )      			=parser.parse_args_into_dataclasses()

      # Load pretrained model and tokenizer

      # Use explicit specified encoder config
      if model_args.encoder_config_name:
            _lowercase      			=AutoConfig.from_pretrained(model_args.encoder_config_name	)
      # Use pretrained encoder model's config
      else:
            _lowercase      			=AutoConfig.from_pretrained(model_args.encoder_model_name_or_path	)

      # Use explicit specified decoder config
      if model_args.decoder_config_name:
            _lowercase      			=AutoConfig.from_pretrained(model_args.decoder_config_name	)
      # Use pretrained decoder model's config
      else:
            _lowercase      			=AutoConfig.from_pretrained(model_args.decoder_model_name_or_path	)

      # necessary for `from_encoder_decoder_pretrained` when `decoder_config` is passed
      _lowercase      			=True
      _lowercase      			=True

      _lowercase      			=FlaxVisionEncoderDecoderModel.from_encoder_decoder_pretrained(
          encoder_pretrained_model_name_or_path=model_args.encoder_model_name_or_path ,  decoder_pretrained_model_name_or_path=model_args.decoder_model_name_or_path ,  encoder_config=UpperCAmelCase__ ,  decoder_config=UpperCAmelCase__ ,  )

      # GPT2 only has bos/eos tokens but not decoder_start/pad tokens
      _lowercase      			=decoder_config.decoder_start_token_id
      _lowercase      			=decoder_config.pad_token_id
      if decoder_start_token_id is None:
            _lowercase      			=decoder_config.bos_token_id
      if pad_token_id is None:
            _lowercase      			=decoder_config.eos_token_id

      # This is necessary to make Flax's generate() work
      _lowercase      			=decoder_config.eos_token_id
      _lowercase      			=decoder_start_token_id
      _lowercase      			=pad_token_id

      _lowercase      			=AutoImageProcessor.from_pretrained(model_args.encoder_model_name_or_path	)

      _lowercase      			=AutoTokenizer.from_pretrained(model_args.decoder_model_name_or_path	)
      _lowercase      			=tokenizer.convert_ids_to_tokens(model.config.pad_token_id	)

      model.save_pretrained(model_args.output_dir	)
      image_processor.save_pretrained(model_args.output_dir	)
      tokenizer.save_pretrained(model_args.output_dir	)


if __name__ == "__main__":
  main()




from __future__ import annotations

lowercase   =	'''Muhammad Umer Farooq'''
lowercase   =	'''MIT'''
lowercase   =	'''1.0.0'''
lowercase   =	'''Muhammad Umer Farooq'''
lowercase   =	'''contact@muhammadumerfarooq.me'''
lowercase   =	'''Alpha'''

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

import requests





class    __A(					UpperCAmelCase							):

					def __init__(						self       :  Tuple ,       __UpperCamelCase       :  str ):
												super().__init__()
												lowerCamelCase_					=       []
												lowerCamelCase_					=       domain



					def  lowercase__   (						self       :  Any ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  list[tuple[str, str | None]] ):
												# 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:
																																								lowerCamelCase_					=       parse.urljoin(self.domain ,       __UpperCamelCase )
																																								self.urls.append(__UpperCamelCase )



def   __lowerCAmelCase    (				UpperCAmelCase__					:   str							)	->     str:
							return ".".join(get_sub_domain_name(UpperCAmelCase__							).split("""."""							)[-2:]							)



def   __lowerCAmelCase    (				UpperCAmelCase__					:   str							)	->     str:
							return parse.urlparse(UpperCAmelCase__							).netloc



def   __lowerCAmelCase    (				UpperCAmelCase__					:   str = "https://github.com"							)	->     list[str]:
							lowerCamelCase_					=       get_domain_name(UpperCAmelCase__							)

							# Initialize the parser
							lowerCamelCase_					=       Parser(UpperCAmelCase__							)

							try:
														# Open URL
														lowerCamelCase_					=       requests.get(UpperCAmelCase__							)

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

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

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


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





