code: 
  '''simple docstring'''
  
  import os
  import unittest
  
  from transformers import ElectraTokenizerFast
  from transformers.models.electra.tokenization_electra import (
      VOCAB_FILES_NAMES,
      BasicTokenizer,
      ElectraTokenizer,
      WordpieceTokenizer,
      _is_control,
      _is_punctuation,
      _is_whitespace,
  )
  from transformers.testing_utils import require_tokenizers, slow
  
  from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
  
  @require_tokenizers
  class 			UpperCAmelCase				(					a_  ,		unittest.TestCase ):
  
  
  
  
  
  		"""simple docstring"""
  
  
  
  
  
  		A__  :   Dict          =    ElectraTokenizer
  		A__  :   Optional[int]          =    ElectraTokenizerFast
  		A__  :   int          =    True
  		A__  :   Any          =    True
  		A__  :   Tuple          =    filter_non_english
  		def _lowercase  (    self     )				->    str:
  				super().setUp()
  
  				_UpperCamelCase       : Optional[int]    =      [
  				    '''[UNK]''',
  				    '''[CLS]''',
  				    '''[SEP]''',
  				    '''[PAD]''',
  				    '''[MASK]''',
  				    '''want''',
  				    '''##want''',
  				    '''##ed''',
  				    '''wa''',
  				    '''un''',
  				    '''runn''',
  				    '''##ing''',
  				    ''',''',
  				    '''low''',
  				    '''lowest''',
  				]
  				_UpperCamelCase       : Optional[Any]    =      os.path.join(self.tmpdirname  ,					VOCAB_FILES_NAMES['''vocab_file''']     )
  				with open(self.vocab_file  ,					'''w'''  ,					encoding='''utf-8'''     ) as vocab_writer:
  						vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]     )     )
  		def _lowercase  (    self  ,					_snake_case     )				->    Optional[Any]:
  				_UpperCamelCase       : int    =      '''UNwant\u00E9d,running'''
  				_UpperCamelCase       : Optional[Any]    =      '''unwanted, running'''
  				return input_text, output_text
  		def _lowercase  (    self     )				->    List[Any]:
  				_UpperCamelCase       : List[str]    =      self.tokenizer_class(self.vocab_file     )
  
  				_UpperCamelCase       : Optional[int]    =      tokenizer.tokenize('''UNwant\u00E9d,running'''     )
  				self.assertListEqual(_snake_case  ,					['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']     )
  				self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case     )  ,					[9, 6, 7, 12, 10, 11]     )
  		def _lowercase  (    self     )				->    Union[str, Any]:
  				if not self.test_rust_tokenizer:
  						return
  
  				_UpperCamelCase       : Dict    =      self.get_tokenizer()
  				_UpperCamelCase       : int    =      self.get_rust_tokenizer()
  
  				_UpperCamelCase       : Union[str, Any]    =      '''UNwant\u00E9d,running'''
  
  				_UpperCamelCase       : List[str]    =      tokenizer.tokenize(_snake_case     )
  				_UpperCamelCase       : Optional[Any]    =      rust_tokenizer.tokenize(_snake_case     )
  				self.assertListEqual(_snake_case  ,					_snake_case     )
  
  				_UpperCamelCase       : Union[str, Any]    =      tokenizer.encode(_snake_case  ,					add_special_tokens=_snake_case     )
  				_UpperCamelCase       : Optional[Any]    =      rust_tokenizer.encode(_snake_case  ,					add_special_tokens=_snake_case     )
  				self.assertListEqual(_snake_case  ,					_snake_case     )
  
  				_UpperCamelCase       : Any    =      self.get_rust_tokenizer()
  				_UpperCamelCase       : List[Any]    =      tokenizer.encode(_snake_case     )
  				_UpperCamelCase       : List[str]    =      rust_tokenizer.encode(_snake_case     )
  				self.assertListEqual(_snake_case  ,					_snake_case     )
  
  				# With lower casing
  				_UpperCamelCase       : str    =      self.get_tokenizer(do_lower_case=_snake_case     )
  				_UpperCamelCase       : int    =      self.get_rust_tokenizer(do_lower_case=_snake_case     )
  
  				_UpperCamelCase       : Optional[Any]    =      '''UNwant\u00E9d,running'''
  
  				_UpperCamelCase       : int    =      tokenizer.tokenize(_snake_case     )
  				_UpperCamelCase       : int    =      rust_tokenizer.tokenize(_snake_case     )
  				self.assertListEqual(_snake_case  ,					_snake_case     )
  
  				_UpperCamelCase       : List[Any]    =      tokenizer.encode(_snake_case  ,					add_special_tokens=_snake_case     )
  				_UpperCamelCase       : Optional[int]    =      rust_tokenizer.encode(_snake_case  ,					add_special_tokens=_snake_case     )
  				self.assertListEqual(_snake_case  ,					_snake_case     )
  
  				_UpperCamelCase       : Optional[int]    =      self.get_rust_tokenizer()
  				_UpperCamelCase       : Dict    =      tokenizer.encode(_snake_case     )
  				_UpperCamelCase       : List[Any]    =      rust_tokenizer.encode(_snake_case     )
  				self.assertListEqual(_snake_case  ,					_snake_case     )
  		def _lowercase  (    self     )				->    Dict:
  				_UpperCamelCase       : int    =      BasicTokenizer()
  
  				self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''     )  ,					['''ah''', '''\u535A''', '''\u63A8''', '''zz''']     )
  		def _lowercase  (    self     )				->    Union[str, Any]:
  				_UpperCamelCase       : List[str]    =      BasicTokenizer(do_lower_case=_snake_case     )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''     )  ,					['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']     )
  				self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''     )  ,					['''hello''']     )
  		def _lowercase  (    self     )				->    Any:
  				_UpperCamelCase       : int    =      BasicTokenizer(do_lower_case=_snake_case  ,					strip_accents=_snake_case     )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''     )  ,					['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']     )
  				self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''     )  ,					['''h\u00E9llo''']     )
  		def _lowercase  (    self     )				->    Dict:
  				_UpperCamelCase       : Optional[Any]    =      BasicTokenizer(do_lower_case=_snake_case  ,					strip_accents=_snake_case     )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''     )  ,					['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']     )
  				self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''     )  ,					['''hello''']     )
  		def _lowercase  (    self     )				->    str:
  				_UpperCamelCase       : Any    =      BasicTokenizer(do_lower_case=_snake_case     )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''     )  ,					['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']     )
  				self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''     )  ,					['''hello''']     )
  		def _lowercase  (    self     )				->    Optional[int]:
  				_UpperCamelCase       : str    =      BasicTokenizer(do_lower_case=_snake_case     )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''     )  ,					['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']     )
  		def _lowercase  (    self     )				->    str:
  				_UpperCamelCase       : Tuple    =      BasicTokenizer(do_lower_case=_snake_case  ,					strip_accents=_snake_case     )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''     )  ,					['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']     )
  		def _lowercase  (    self     )				->    Any:
  				_UpperCamelCase       : Union[str, Any]    =      BasicTokenizer(do_lower_case=_snake_case  ,					strip_accents=_snake_case     )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''     )  ,					['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']     )
  		def _lowercase  (    self     )				->    str:
  				_UpperCamelCase       : Any    =      BasicTokenizer(do_lower_case=_snake_case  ,					never_split=['''[UNK]''']     )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''     )  ,					['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']     )
  		def _lowercase  (    self     )				->    Any:
  				_UpperCamelCase       : Union[str, Any]    =      ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']
  
  				_UpperCamelCase       : Union[str, Any]    =      {}
  				for i, token in enumerate(_snake_case     ):
  						_UpperCamelCase       : Optional[int]    =      i
  				_UpperCamelCase       : Any    =      WordpieceTokenizer(vocab=_snake_case  ,					unk_token='''[UNK]'''     )
  
  				self.assertListEqual(tokenizer.tokenize(''''''     )  ,					[]     )
  
  				self.assertListEqual(tokenizer.tokenize('''unwanted running'''     )  ,					['''un''', '''##want''', '''##ed''', '''runn''', '''##ing''']     )
  
  				self.assertListEqual(tokenizer.tokenize('''unwantedX running'''     )  ,					['''[UNK]''', '''runn''', '''##ing''']     )
  		def _lowercase  (    self     )				->    Optional[int]:
  				self.assertTrue(_is_whitespace(''' '''     )     )
  				self.assertTrue(_is_whitespace('''\t'''     )     )
  				self.assertTrue(_is_whitespace('''\r'''     )     )
  				self.assertTrue(_is_whitespace('''\n'''     )     )
  				self.assertTrue(_is_whitespace('''\u00A0'''     )     )
  
  				self.assertFalse(_is_whitespace('''A'''     )     )
  				self.assertFalse(_is_whitespace('''-'''     )     )
  		def _lowercase  (    self     )				->    Optional[Any]:
  				self.assertTrue(_is_control('''\u0005'''     )     )
  
  				self.assertFalse(_is_control('''A'''     )     )
  				self.assertFalse(_is_control(''' '''     )     )
  				self.assertFalse(_is_control('''\t'''     )     )
  				self.assertFalse(_is_control('''\r'''     )     )
  		def _lowercase  (    self     )				->    Optional[int]:
  				self.assertTrue(_is_punctuation('''-'''     )     )
  				self.assertTrue(_is_punctuation('''$'''     )     )
  				self.assertTrue(_is_punctuation('''`'''     )     )
  				self.assertTrue(_is_punctuation('''.'''     )     )
  
  				self.assertFalse(_is_punctuation('''A'''     )     )
  				self.assertFalse(_is_punctuation(''' '''     )     )
  		def _lowercase  (    self     )				->    Optional[Any]:
  				_UpperCamelCase       : Optional[int]    =      self.get_tokenizer()
  				_UpperCamelCase       : List[str]    =      self.get_rust_tokenizer()
  
  				# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
  				self.assertListEqual([tokenizer.tokenize(_snake_case     ) for t in ['''Test''', '''\xad''', '''test''']]  ,					[['''[UNK]'''], [], ['''[UNK]''']]     )
  
  				self.assertListEqual(
  				    [rust_tokenizer.tokenize(_snake_case     ) for t in ['''Test''', '''\xad''', '''test''']]  ,					[['''[UNK]'''], [], ['''[UNK]''']]     )
  		@slow
  		def _lowercase  (    self     )				->    List[Any]:
  				_UpperCamelCase       : str    =      self.tokenizer_class.from_pretrained('''google/electra-base-discriminator'''     )
  
  				_UpperCamelCase       : List[str]    =      tokenizer.encode('''sequence builders'''  ,					add_special_tokens=_snake_case     )
  				_UpperCamelCase       : Dict    =      tokenizer.encode('''multi-sequence build'''  ,					add_special_tokens=_snake_case     )
  
  				_UpperCamelCase       : Any    =      tokenizer.build_inputs_with_special_tokens(_snake_case     )
  				_UpperCamelCase       : int    =      tokenizer.build_inputs_with_special_tokens(_snake_case  ,					_snake_case     )
  
  				assert encoded_sentence == [101] + text + [102]
  				assert encoded_pair == [101] + text + [102] + text_a + [102]
  		def _lowercase  (    self     )				->    int:
  				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  						with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
  								_UpperCamelCase       : Any    =      self.rust_tokenizer_class.from_pretrained(_snake_case  ,					**_snake_case     )
  
  								_UpperCamelCase       : Tuple    =      F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
  								_UpperCamelCase       : str    =      tokenizer_r.encode_plus(
  								    _snake_case  ,					return_attention_mask=_snake_case  ,					return_token_type_ids=_snake_case  ,					return_offsets_mapping=_snake_case  ,					add_special_tokens=_snake_case  ,					)
  
  								_UpperCamelCase       : List[Any]    =      tokenizer_r.do_lower_case if hasattr(_snake_case  ,					'''do_lower_case'''     ) else False
  								_UpperCamelCase       : int    =      (
  								    [
  								        ((0, 0), tokenizer_r.cls_token),
  								        ((0, 1), '''A'''),
  								        ((1, 2), ''','''),
  								        ((3, 5), '''na'''),
  								        ((5, 6), '''##ï'''),
  								        ((6, 8), '''##ve'''),
  								        ((9, 15), tokenizer_r.mask_token),
  								        ((16, 21), '''Allen'''),
  								        ((21, 23), '''##NL'''),
  								        ((23, 24), '''##P'''),
  								        ((25, 33), '''sentence'''),
  								        ((33, 34), '''.'''),
  								        ((0, 0), tokenizer_r.sep_token),
  								    ]
  								    if not do_lower_case
  								    else [
  								        ((0, 0), tokenizer_r.cls_token),
  								        ((0, 1), '''a'''),
  								        ((1, 2), ''','''),
  								        ((3, 8), '''naive'''),
  								        ((9, 15), tokenizer_r.mask_token),
  								        ((16, 21), '''allen'''),
  								        ((21, 23), '''##nl'''),
  								        ((23, 24), '''##p'''),
  								        ((25, 33), '''sentence'''),
  								        ((33, 34), '''.'''),
  								        ((0, 0), tokenizer_r.sep_token),
  								    ]
  								)
  
  								self.assertEqual(
  								    [e[1] for e in expected_results]  ,					tokenizer_r.convert_ids_to_tokens(tokens['''input_ids''']     )     )
  								self.assertEqual([e[0] for e in expected_results]  ,					tokens['''offset_mapping''']     )
  
  
  
  
  		def _lowercase  (    self     )				->    Union[str, Any]:
  				_UpperCamelCase       : List[Any]    =      ['''的''', '''人''', '''有''']
  				_UpperCamelCase       : Dict    =      ''''''.join(_snake_case     )
  				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  						with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
  								_UpperCamelCase       : str    =      True
  								_UpperCamelCase       : str    =      self.tokenizer_class.from_pretrained(_snake_case  ,					**_snake_case     )
  								_UpperCamelCase       : List[str]    =      self.rust_tokenizer_class.from_pretrained(_snake_case  ,					**_snake_case     )
  
  								_UpperCamelCase       : Union[str, Any]    =      tokenizer_p.encode(_snake_case  ,					add_special_tokens=_snake_case     )
  								_UpperCamelCase       : Dict    =      tokenizer_r.encode(_snake_case  ,					add_special_tokens=_snake_case     )
  
  								_UpperCamelCase       : Optional[int]    =      tokenizer_r.convert_ids_to_tokens(_snake_case     )
  								_UpperCamelCase       : Union[str, Any]    =      tokenizer_p.convert_ids_to_tokens(_snake_case     )
  
  								# it is expected that each Chinese character is not preceded by "##"
  								self.assertListEqual(_snake_case  ,					_snake_case     )
  								self.assertListEqual(_snake_case  ,					_snake_case     )
  
  								_UpperCamelCase       : Union[str, Any]    =      False
  								_UpperCamelCase       : Any    =      self.rust_tokenizer_class.from_pretrained(_snake_case  ,					**_snake_case     )
  								_UpperCamelCase       : Dict    =      self.tokenizer_class.from_pretrained(_snake_case  ,					**_snake_case     )
  
  								_UpperCamelCase       : int    =      tokenizer_r.encode(_snake_case  ,					add_special_tokens=_snake_case     )
  								_UpperCamelCase       : Dict    =      tokenizer_p.encode(_snake_case  ,					add_special_tokens=_snake_case     )
  
  								_UpperCamelCase       : List[Any]    =      tokenizer_r.convert_ids_to_tokens(_snake_case     )
  								_UpperCamelCase       : Tuple    =      tokenizer_p.convert_ids_to_tokens(_snake_case     )
  
  								# it is expected that only the first Chinese character is not preceded by "##".
  								_UpperCamelCase       : Any    =      [
  								    F'''##{token}''' if idx != 0 else token for idx, token in enumerate(_snake_case     )
  								]
  								self.assertListEqual(_snake_case  ,					_snake_case     )
  								self.assertListEqual(_snake_case  ,					_snake_case     )
  
  
  
  
  
  
style_context: 
  '''simple docstring'''
  
  import argparse
  import copy
  import json
  import multiprocessing
  import os
  import time
  
  from create_dummy_models import COMPOSITE_MODELS, create_tiny_models
  from huggingface_hub import ModelFilter, hf_api
  
  import transformers
  from transformers import AutoFeatureExtractor, AutoImageProcessor, AutoTokenizer
  from transformers.image_processing_utils import BaseImageProcessor
  
  
  
  
  
  
  
  def 						snake_case__	(      ) ->      List[Any]:
  		_UpperCamelCase       : Union[str, Any]    =      set()
  		# Each auto modeling files contains multiple mappings. Let's get them in a dynamic way.
  		for module_name in ["modeling_auto", "modeling_tf_auto", "modeling_flax_auto"]:
  				_UpperCamelCase       : List[Any]    =      getattr(transformers.models.auto			,UpperCamelCase			,UpperCamelCase	)
  				if module is None:
  						continue
  				# all mappings in a single auto modeling file
  				_UpperCamelCase       : Optional[Any]    =      [
  				    x
  				    for x in dir(UpperCamelCase	)
  				    if x.endswith('''_MAPPING_NAMES'''	)
  				    and (x.startswith('''MODEL_'''	) or x.startswith('''TF_MODEL_'''	) or x.startswith('''FLAX_MODEL_'''	))
  				]
  				for name in mapping_names:
  						_UpperCamelCase       : List[str]    =      getattr(UpperCamelCase			,UpperCamelCase	)
  						if mapping is not None:
  								for v in mapping.values():
  										if isinstance(UpperCamelCase			,(list, tuple)	):
  												model_names.update(UpperCamelCase	)
  										elif isinstance(UpperCamelCase			,UpperCamelCase	):
  												model_names.add(UpperCamelCase	)
  
  		return sorted(UpperCamelCase	)
  
  
  
  
  
  
  
  def 						snake_case__	(      ) ->      Any:
  		# All model names defined in auto mappings
  		_UpperCamelCase       : Union[str, Any]    =      set(get_all_model_names()	)
  
  		with open('''tests/utils/tiny_model_summary.json'''	) as fp:
  				_UpperCamelCase       : Optional[Any]    =      json.load(UpperCamelCase	)
  		_UpperCamelCase       : Tuple    =      set()
  		for model_base_name in tiny_model_info:
  				tiny_models_names.update(tiny_model_info[model_base_name]['''model_classes''']	)
  
  		# Remove a tiny model name if one of its framework implementation hasn't yet a tiny version on the Hub.
  		_UpperCamelCase       : List[Any]    =      model_names.difference(UpperCamelCase	)
  		for model_name in copy.copy(UpperCamelCase	):
  				if not model_name.startswith('''TF'''	) and f'''TF{model_name}''' in not_on_hub:
  						tiny_models_names.remove(UpperCamelCase	)
  				elif model_name.startswith('''TF'''	) and model_name[2:] in not_on_hub:
  						tiny_models_names.remove(UpperCamelCase	)
  
  		return sorted(UpperCamelCase	)
  
  
  
  
  
  
  
  def 						snake_case__	(      UpperCamelCase	) ->      List[str]:
  		_UpperCamelCase       : Optional[Any]    =      COMPOSITE_MODELS.values()
  
  		# All tiny model base names on Hub
  		_UpperCamelCase       : Optional[Any]    =      get_all_model_names()
  		_UpperCamelCase       : Union[str, Any]    =      hf_api.list_models(
  		    filter=ModelFilter(
  		        author='''hf-internal-testing'''			,)	)
  		_UpperCamelCase       : Any    =      set()
  		for x in models:
  				_UpperCamelCase       : Optional[int]    =      x.modelId
  				_UpperCamelCase,							_UpperCamelCase       : str    =      model.split('''/'''	)
  				if not model.startswith('''tiny-random-'''	):
  						continue
  				_UpperCamelCase       : Optional[Any]    =      model.replace('''tiny-random-'''			,''''''	)
  				if not model[0].isupper():
  						continue
  				if model not in model_names and model not in special_models:
  						continue
  				_models.add(UpperCamelCase	)
  
  		_UpperCamelCase       : List[Any]    =      sorted(_models	)
  		# All tiny model names on Hub
  		_UpperCamelCase       : int    =      {}
  		for model in models:
  				_UpperCamelCase       : Optional[Any]    =      f'''hf-internal-testing/tiny-random-{model}'''
  				_UpperCamelCase       : Any    =      model.split('''-'''	)[0]
  				try:
  						_UpperCamelCase       : List[str]    =      hf_api.repo_info(UpperCamelCase	)
  						_UpperCamelCase       : List[str]    =      {
  						    '''tokenizer_classes''': set(),
  						    '''processor_classes''': set(),
  						    '''model_classes''': set(),
  						    '''sha''': repo_info.sha,
  						}
  				except Exception:
  						continue
  				try:
  						time.sleep(1	)
  						_UpperCamelCase       : Union[str, Any]    =      AutoTokenizer.from_pretrained(UpperCamelCase	)
  						content["tokenizer_classes"].add(tokenizer_fast.__class__.__name__	)
  				except Exception:
  						pass
  				try:
  						time.sleep(1	)
  						_UpperCamelCase       : int    =      AutoTokenizer.from_pretrained(UpperCamelCase			,use_fast=UpperCamelCase	)
  						content["tokenizer_classes"].add(tokenizer_slow.__class__.__name__	)
  				except Exception:
  						pass
  				try:
  						time.sleep(1	)
  						_UpperCamelCase       : int    =      AutoImageProcessor.from_pretrained(UpperCamelCase	)
  						content["processor_classes"].add(img_p.__class__.__name__	)
  				except Exception:
  						pass
  				try:
  						time.sleep(1	)
  						_UpperCamelCase       : List[Any]    =      AutoFeatureExtractor.from_pretrained(UpperCamelCase	)
  						if not isinstance(UpperCamelCase			,UpperCamelCase	):
  								content["processor_classes"].add(feat_p.__class__.__name__	)
  				except Exception:
  						pass
  				try:
  						time.sleep(1	)
  						_UpperCamelCase       : Tuple    =      getattr(UpperCamelCase			,UpperCamelCase	)
  						_UpperCamelCase       : Tuple    =      model_class.from_pretrained(UpperCamelCase	)
  						content["model_classes"].add(m.__class__.__name__	)
  				except Exception:
  						pass
  				try:
  						time.sleep(1	)
  						_UpperCamelCase       : Dict    =      getattr(UpperCamelCase			,f'''TF{model}'''	)
  						_UpperCamelCase       : Optional[Any]    =      model_class.from_pretrained(UpperCamelCase	)
  						content["model_classes"].add(m.__class__.__name__	)
  				except Exception:
  						pass
  
  				_UpperCamelCase       : Dict    =      sorted(content['''tokenizer_classes''']	)
  				_UpperCamelCase       : Tuple    =      sorted(content['''processor_classes''']	)
  				_UpperCamelCase       : Union[str, Any]    =      sorted(content['''model_classes''']	)
  
  				_UpperCamelCase       : List[Any]    =      content
  				with open(os.path.join(UpperCamelCase			,'''hub_tiny_model_summary.json'''	)			,'''w'''	) as fp:
  						json.dump(UpperCamelCase			,UpperCamelCase			,ensure_ascii=UpperCamelCase			,indent=4	)
  
  
  if __name__ == "__main__":
  	_UpperCAmelCase   :      List[str] 						=  argparse.ArgumentParser()
  	parser.add_argument("""--num_workers""", default=1, type=int, help="""The number of workers to run.""")
  	_UpperCAmelCase   :      List[Any] 						=  parser.parse_args()
  
  	# This has to be `spawn` to avoid hanging forever!
  	multiprocessing.set_start_method("""spawn""")
  
  	_UpperCAmelCase   :      Optional[Any] 						=  """tiny_models"""
  	_UpperCAmelCase   :      Optional[Any] 						=  True
  	_UpperCAmelCase   :      str 						=  None
  	_UpperCAmelCase   :      int 						=  get_tiny_model_names_from_repo()
  	_UpperCAmelCase   :      Optional[Any] 						=  True
  	_UpperCAmelCase   :      List[str] 						=  True
  	_UpperCAmelCase   :      str 						=  """hf-internal-testing"""
  
  	create_tiny_models(
  	    output_path,
  	    all,
  	    model_types,
  	    models_to_skip,
  	    no_check,
  	    upload,
  	    organization,
  	    token=os.environ.get("""TOKEN""", None),
  	    num_workers=args.num_workers,
  	)
  
  
  
  
  
  