




import argparse
import collections
import os
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_table.py
lowerCamelCase__ :   Dict					=							'src/transformers'
lowerCamelCase__ :   int					=							'docs/source/en'
lowerCamelCase__ :   Optional[Any]					=							'.'

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	Tuple			,			__UpperCAmelCase						:	Dict			,			__UpperCAmelCase						:	str							)					-> List[str]:
      with open(__UpperCAmelCase			,			'r'			,			encoding='utf-8'			,			newline='\n'							) as f:
            SCREAMING_SNAKE_CASE_							=			f.readlines()
      # Find the start prompt.
      SCREAMING_SNAKE_CASE_							=			0
      while not lines[start_index].startswith(__UpperCAmelCase							):
            start_index += 1
      start_index += 1

      SCREAMING_SNAKE_CASE_							=			start_index
      while not lines[end_index].startswith(__UpperCAmelCase							):
            end_index += 1
      end_index -= 1

      while len(lines[start_index]							) <= 1:
            start_index += 1
      while len(lines[end_index]							) <= 1:
            end_index -= 1
      end_index += 1
      return "".join(lines[start_index:end_index]							), start_index, end_index, lines


# Add here suffixes that are used to identify models, separated by |
lowerCamelCase__ :   Optional[int]					=							'Model|Encoder|Decoder|ForConditionalGeneration'
# Regexes that match TF/Flax/PT model names.
lowerCamelCase__ :   Dict					=							re.compile(r'TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
lowerCamelCase__ :   Any					=							re.compile(r'Flax(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
# Will match any TF or Flax model too so need to be in an else branch afterthe two previous regexes.
lowerCamelCase__ :   Optional[int]					=							re.compile(r'(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')


# This is to make sure the transformers module imported is the one in the repo.
lowerCamelCase__ :   Any					=							direct_transformers_import(TRANSFORMERS_PATH)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	Optional[Any]							)					-> Optional[Any]:
      SCREAMING_SNAKE_CASE_							=			re.finditer('.+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)'			,			__UpperCAmelCase							)
      return [m.group(0							) for m in matches]

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict			,			__UpperCAmelCase						:	Any							)					-> Union[str, Any]:
      SCREAMING_SNAKE_CASE_							=			2 if text == '✅' or text == '❌' else len(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_							=			(width - text_length) // 2
      SCREAMING_SNAKE_CASE_							=			width - text_length - left_indent
      return " " * left_indent + text + " " * right_indent

def 					UpperCAmelCase_							(      )					-> str:
      SCREAMING_SNAKE_CASE_							=			transformers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
      SCREAMING_SNAKE_CASE_							=			{
          name: config_maping_names[code]
          for code, name in transformers_module.MODEL_NAMES_MAPPING.items()
          if code in config_maping_names
      }
      SCREAMING_SNAKE_CASE_							=			{name: config.replace('Config'			,			''							) for name, config in model_name_to_config.items()}

      # Dictionaries flagging if each model prefix has a slow/fast tokenizer, backend in PT/TF/Flax.
      SCREAMING_SNAKE_CASE_							=			collections.defaultdict(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_							=			collections.defaultdict(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_							=			collections.defaultdict(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_							=			collections.defaultdict(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_							=			collections.defaultdict(__UpperCAmelCase							)

      # Let's lookup through all transformers object (once).
      for attr_name in dir(__UpperCAmelCase							):
            SCREAMING_SNAKE_CASE_							=			None
            if attr_name.endswith('Tokenizer'							):
                  SCREAMING_SNAKE_CASE_							=			slow_tokenizers
                  SCREAMING_SNAKE_CASE_							=			attr_name[:-9]
            elif attr_name.endswith('TokenizerFast'							):
                  SCREAMING_SNAKE_CASE_							=			fast_tokenizers
                  SCREAMING_SNAKE_CASE_							=			attr_name[:-13]
            elif _re_tf_models.match(__UpperCAmelCase							) is not None:
                  SCREAMING_SNAKE_CASE_							=			tf_models
                  SCREAMING_SNAKE_CASE_							=			_re_tf_models.match(__UpperCAmelCase							).groups()[0]
            elif _re_flax_models.match(__UpperCAmelCase							) is not None:
                  SCREAMING_SNAKE_CASE_							=			flax_models
                  SCREAMING_SNAKE_CASE_							=			_re_flax_models.match(__UpperCAmelCase							).groups()[0]
            elif _re_pt_models.match(__UpperCAmelCase							) is not None:
                  SCREAMING_SNAKE_CASE_							=			pt_models
                  SCREAMING_SNAKE_CASE_							=			_re_pt_models.match(__UpperCAmelCase							).groups()[0]

            if lookup_dict is not None:
                  while len(__UpperCAmelCase							) > 0:
                        if attr_name in model_name_to_prefix.values():
                              SCREAMING_SNAKE_CASE_							=			True
                              break
                        # Try again after removing the last word in the name
                        SCREAMING_SNAKE_CASE_							=			''.join(camel_case_split(__UpperCAmelCase							)[:-1]							)

    # Let's build that table!
      SCREAMING_SNAKE_CASE_							=			list(model_name_to_config.keys()							)
      model_names.sort(key=str.lower							)
      SCREAMING_SNAKE_CASE_							=			['Model', 'Tokenizer slow', 'Tokenizer fast', 'PyTorch support', 'TensorFlow support', 'Flax Support']
      # We'll need widths to properly display everything in the center (+2 is to leave one extra space on each side).
      SCREAMING_SNAKE_CASE_							=			[len(__UpperCAmelCase							) + 2 for c in columns]
      SCREAMING_SNAKE_CASE_							=			max([len(__UpperCAmelCase							) for name in model_names]							) + 2

      # Build the table per se
      SCREAMING_SNAKE_CASE_							=			'|' + '|'.join([_center_text(__UpperCAmelCase			,			__UpperCAmelCase							) for c, w in zip(__UpperCAmelCase			,			__UpperCAmelCase							)]							) + '|\n'
      # Use ":-----:" format to center-aligned table cell texts
      table += "|" + "|".join([':' + '-' * (w - 2) + ':' for w in widths]							) + "|\n"

      SCREAMING_SNAKE_CASE_							=			{True: '✅', False: '❌'}
      for name in model_names:
            SCREAMING_SNAKE_CASE_							=			model_name_to_prefix[name]
            SCREAMING_SNAKE_CASE_							=			[
                name,
                check[slow_tokenizers[prefix]],
                check[fast_tokenizers[prefix]],
                check[pt_models[prefix]],
                check[tf_models[prefix]],
                check[flax_models[prefix]],
            ]
            table += "|" + "|".join([_center_text(__UpperCAmelCase			,			__UpperCAmelCase							) for l, w in zip(__UpperCAmelCase			,			__UpperCAmelCase							)]							) + "|\n"
      return table

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	Tuple=False							)					-> Any:
      SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_							=			_find_text_in_file(
          filename=os.path.join(__UpperCAmelCase			,			'index.md'							)			,			start_prompt='<!--This table is updated automatically from the auto modules'			,			end_prompt='<!-- End table-->'			,			)
      SCREAMING_SNAKE_CASE_							=			get_model_table_from_auto_modules()

      if current_table != new_table:
            if overwrite:
                  with open(os.path.join(__UpperCAmelCase			,			'index.md'							)			,			'w'			,			encoding='utf-8'			,			newline='\n'							) as f:
                        f.writelines(lines[:start_index] + [new_table] + lines[end_index:]							)
            else:
                  raise ValueError(
                      'The model table in the `index.md` has not been updated. Run `make fix-copies` to fix this.'							)


if __name__ == "__main__":
   lowerCamelCase__ :   str					=							argparse.ArgumentParser()
   parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
   lowerCamelCase__ :   Union[str, Any]					=							parser.parse_args()

   check_model_table(args.fix_and_overwrite)





import sys
import webbrowser

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
   print('Googling.....')
   lowerCamelCase__ :   List[Any]					=							'https://www.google.com/search?q=' + ' '.join(sys.argv[1:])
   lowerCamelCase__ :   List[Any]					=							requests.get(url, headers={'UserAgent': UserAgent().random})
   # res.raise_for_status()
   with open('project1a.html', 'wb') as out_file:  # only for knowing the class
      for data in res.iter_content(10_000):
         out_file.write(data)
   lowerCamelCase__ :   int					=							BeautifulSoup(res.text, 'html.parser')
   lowerCamelCase__ :   List[str]					=							list(soup.select('.eZt8xd'))[:5]

   print(len(links))
   for link in links:
      if link.text == "Maps":
         webbrowser.open(link.get('href'))
      else:
         webbrowser.open(f'''https://google.com{link.get('href')}''')