code: 
  
  
  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 			a      (      UpperCamelCase_      ,unittest.TestCase   ):
  		__lowercase													=		ElectraTokenizer
  		__lowercase													=		ElectraTokenizerFast
  		__lowercase													=		True
  		__lowercase													=		True
  		__lowercase													=		filter_non_english
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			str:
  						'''simple docstring'''
  
  
  						super().setUp()
  
  						A__     :							Tuple   				=[
  						    '''[UNK]''',
  						    '''[CLS]''',
  						    '''[SEP]''',
  						    '''[PAD]''',
  						    '''[MASK]''',
  						    '''want''',
  						    '''##want''',
  						    '''##ed''',
  						    '''wa''',
  						    '''un''',
  						    '''runn''',
  						    '''##ing''',
  						    ''',''',
  						    '''low''',
  						    '''lowest''',
  						]
  						A__     :							Dict   				=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       lowerCAmelCase_  (  self	,     __UpperCamelCase							)->			int:
  						'''simple docstring'''
  
  
  						A__     :							Any   				='''UNwant\u00E9d,running'''
  						A__     :							Dict   				='''unwanted, running'''
  						return input_text, output_text
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Dict:
  						'''simple docstring'''
  
  
  						A__     :							str   				=self.tokenizer_class(self.vocab_file							)
  
  						A__     :							Optional[Any]   				=tokenizer.tokenize('''UNwant\u00E9d,running'''							)
  						self.assertListEqual(__UpperCamelCase	,     ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']							)
  						self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase							)	,     [9, 6, 7, 12, 10, 11]							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Optional[Any]:
  						'''simple docstring'''
  
  
  						if not self.test_rust_tokenizer:
  										return
  
  						A__     :							str   				=self.get_tokenizer()
  						A__     :							List[str]   				=self.get_rust_tokenizer()
  
  						A__     :							str   				='''UNwant\u00E9d,running'''
  
  						A__     :							Union[str, Any]   				=tokenizer.tokenize(__UpperCamelCase							)
  						A__     :							Optional[Any]   				=rust_tokenizer.tokenize(__UpperCamelCase							)
  						self.assertListEqual(__UpperCamelCase	,     __UpperCamelCase							)
  
  						A__     :							str   				=tokenizer.encode(__UpperCamelCase	,     add_special_tokens=__UpperCamelCase							)
  						A__     :							List[Any]   				=rust_tokenizer.encode(__UpperCamelCase	,     add_special_tokens=__UpperCamelCase							)
  						self.assertListEqual(__UpperCamelCase	,     __UpperCamelCase							)
  
  						A__     :							Any   				=self.get_rust_tokenizer()
  						A__     :							Optional[Any]   				=tokenizer.encode(__UpperCamelCase							)
  						A__     :							Any   				=rust_tokenizer.encode(__UpperCamelCase							)
  						self.assertListEqual(__UpperCamelCase	,     __UpperCamelCase							)
  
  						# With lower casing
  						A__     :							Union[str, Any]   				=self.get_tokenizer(do_lower_case=__UpperCamelCase							)
  						A__     :							str   				=self.get_rust_tokenizer(do_lower_case=__UpperCamelCase							)
  
  						A__     :							Optional[int]   				='''UNwant\u00E9d,running'''
  
  						A__     :							Optional[int]   				=tokenizer.tokenize(__UpperCamelCase							)
  						A__     :							List[str]   				=rust_tokenizer.tokenize(__UpperCamelCase							)
  						self.assertListEqual(__UpperCamelCase	,     __UpperCamelCase							)
  
  						A__     :							Optional[int]   				=tokenizer.encode(__UpperCamelCase	,     add_special_tokens=__UpperCamelCase							)
  						A__     :							str   				=rust_tokenizer.encode(__UpperCamelCase	,     add_special_tokens=__UpperCamelCase							)
  						self.assertListEqual(__UpperCamelCase	,     __UpperCamelCase							)
  
  						A__     :							Union[str, Any]   				=self.get_rust_tokenizer()
  						A__     :							Optional[Any]   				=tokenizer.encode(__UpperCamelCase							)
  						A__     :							str   				=rust_tokenizer.encode(__UpperCamelCase							)
  						self.assertListEqual(__UpperCamelCase	,     __UpperCamelCase							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			str:
  						'''simple docstring'''
  
  
  						A__     :							List[str]   				=BasicTokenizer()
  
  						self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''							)	,     ['''ah''', '''\u535A''', '''\u63A8''', '''zz''']							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Tuple:
  						'''simple docstring'''
  
  
  						A__     :							List[str]   				=BasicTokenizer(do_lower_case=__UpperCamelCase							)
  
  						self.assertListEqual(
  						    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''							)	,     ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']							)
  						self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''							)	,     ['''hello''']							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			int:
  						'''simple docstring'''
  
  
  						A__     :							Optional[Any]   				=BasicTokenizer(do_lower_case=__UpperCamelCase	,     strip_accents=__UpperCamelCase							)
  
  						self.assertListEqual(
  						    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''							)	,     ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']							)
  						self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''							)	,     ['''h\u00E9llo''']							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Optional[Any]:
  						'''simple docstring'''
  
  
  						A__     :							Optional[int]   				=BasicTokenizer(do_lower_case=__UpperCamelCase	,     strip_accents=__UpperCamelCase							)
  
  						self.assertListEqual(
  						    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''							)	,     ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']							)
  						self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''							)	,     ['''hello''']							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			List[Any]:
  						'''simple docstring'''
  
  
  						A__     :							Optional[int]   				=BasicTokenizer(do_lower_case=__UpperCamelCase							)
  
  						self.assertListEqual(
  						    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''							)	,     ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']							)
  						self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''							)	,     ['''hello''']							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			str:
  						'''simple docstring'''
  
  
  						A__     :							int   				=BasicTokenizer(do_lower_case=__UpperCamelCase							)
  
  						self.assertListEqual(
  						    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''							)	,     ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Optional[int]:
  						'''simple docstring'''
  
  
  						A__     :							Dict   				=BasicTokenizer(do_lower_case=__UpperCamelCase	,     strip_accents=__UpperCamelCase							)
  
  						self.assertListEqual(
  						    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''							)	,     ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			str:
  						'''simple docstring'''
  
  
  						A__     :							Any   				=BasicTokenizer(do_lower_case=__UpperCamelCase	,     strip_accents=__UpperCamelCase							)
  
  						self.assertListEqual(
  						    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''							)	,     ['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Optional[Any]:
  						'''simple docstring'''
  
  
  						A__     :							List[Any]   				=BasicTokenizer(do_lower_case=__UpperCamelCase	,     never_split=['''[UNK]''']							)
  
  						self.assertListEqual(
  						    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''							)	,     ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			List[str]:
  						'''simple docstring'''
  
  
  						A__     :							Any   				=['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']
  
  						A__     :							str   				={}
  						for i, token in enumerate(__UpperCamelCase							):
  										A__     :							Optional[Any]   				=i
  						A__     :							Any   				=WordpieceTokenizer(vocab=__UpperCamelCase	,     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       lowerCAmelCase_  (  self							)->			str:
  						'''simple docstring'''
  
  
  						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       lowerCAmelCase_  (  self							)->			Union[str, Any]:
  						'''simple docstring'''
  
  
  						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       lowerCAmelCase_  (  self							)->			List[str]:
  						'''simple docstring'''
  
  
  						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       lowerCAmelCase_  (  self							)->			Union[str, Any]:
  						'''simple docstring'''
  
  
  						A__     :							Optional[int]   				=self.get_tokenizer()
  						A__     :							Optional[int]   				=self.get_rust_tokenizer()
  
  						# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
  						self.assertListEqual([tokenizer.tokenize(__UpperCamelCase							) for t in ['''Test''', '''\xad''', '''test''']]	,     [['''[UNK]'''], [], ['''[UNK]''']]							)
  
  						self.assertListEqual(
  						    [rust_tokenizer.tokenize(__UpperCamelCase							) for t in ['''Test''', '''\xad''', '''test''']]	,     [['''[UNK]'''], [], ['''[UNK]''']]							)
  
  
  
  
  
  
  		@slow
  		def       lowerCAmelCase_  (  self							)->			Optional[int]:
  						'''simple docstring'''
  
  
  						A__     :							Dict   				=self.tokenizer_class.from_pretrained('''google/electra-base-discriminator'''							)
  
  						A__     :							Dict   				=tokenizer.encode('''sequence builders'''	,     add_special_tokens=__UpperCamelCase							)
  						A__     :							Optional[Any]   				=tokenizer.encode('''multi-sequence build'''	,     add_special_tokens=__UpperCamelCase							)
  
  						A__     :							int   				=tokenizer.build_inputs_with_special_tokens(__UpperCamelCase							)
  						A__     :							List[str]   				=tokenizer.build_inputs_with_special_tokens(__UpperCamelCase	,     __UpperCamelCase							)
  
  						assert encoded_sentence == [1_01] + text + [1_02]
  						assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Tuple:
  						'''simple docstring'''
  
  
  						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  										with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'							):
  														A__     :							Dict   				=self.rust_tokenizer_class.from_pretrained(__UpperCamelCase	,     **__UpperCamelCase							)
  
  														A__     :							List[str]   				=F'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
  														A__     :							Optional[int]   				=tokenizer_r.encode_plus(
  														    __UpperCamelCase	,     return_attention_mask=__UpperCamelCase	,     return_token_type_ids=__UpperCamelCase	,     return_offsets_mapping=__UpperCamelCase	,     add_special_tokens=__UpperCamelCase	,     )
  
  														A__     :							Dict   				=tokenizer_r.do_lower_case if hasattr(__UpperCamelCase	,     '''do_lower_case'''							) else False
  														A__     :							Union[str, Any]   				=(
  														    [
  														        ((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       lowerCAmelCase_  (  self							)->			List[Any]:
  						'''simple docstring'''
  
  
  						A__     :							Dict   				=['''的''', '''人''', '''有''']
  						A__     :							Any   				=''''''.join(__UpperCamelCase							)
  						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  										with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'							):
  														A__     :							Optional[int]   				=True
  														A__     :							List[Any]   				=self.tokenizer_class.from_pretrained(__UpperCamelCase	,     **__UpperCamelCase							)
  														A__     :							List[str]   				=self.rust_tokenizer_class.from_pretrained(__UpperCamelCase	,     **__UpperCamelCase							)
  
  														A__     :							Optional[Any]   				=tokenizer_p.encode(__UpperCamelCase	,     add_special_tokens=__UpperCamelCase							)
  														A__     :							int   				=tokenizer_r.encode(__UpperCamelCase	,     add_special_tokens=__UpperCamelCase							)
  
  														A__     :							Any   				=tokenizer_r.convert_ids_to_tokens(__UpperCamelCase							)
  														A__     :							List[Any]   				=tokenizer_p.convert_ids_to_tokens(__UpperCamelCase							)
  
  														# it is expected that each Chinese character is not preceded by "##"
  														self.assertListEqual(__UpperCamelCase	,     __UpperCamelCase							)
  														self.assertListEqual(__UpperCamelCase	,     __UpperCamelCase							)
  
  														A__     :							int   				=False
  														A__     :							Union[str, Any]   				=self.rust_tokenizer_class.from_pretrained(__UpperCamelCase	,     **__UpperCamelCase							)
  														A__     :							str   				=self.tokenizer_class.from_pretrained(__UpperCamelCase	,     **__UpperCamelCase							)
  
  														A__     :							List[str]   				=tokenizer_r.encode(__UpperCamelCase	,     add_special_tokens=__UpperCamelCase							)
  														A__     :							List[Any]   				=tokenizer_p.encode(__UpperCamelCase	,     add_special_tokens=__UpperCamelCase							)
  
  														A__     :							List[str]   				=tokenizer_r.convert_ids_to_tokens(__UpperCamelCase							)
  														A__     :							Any   				=tokenizer_p.convert_ids_to_tokens(__UpperCamelCase							)
  
  														# it is expected that only the first Chinese character is not preceded by "##".
  														A__     :							Optional[int]   				=[
  														    F'##{token}' if idx != 0 else token for idx, token in enumerate(__UpperCamelCase							)
  														]
  														self.assertListEqual(__UpperCamelCase	,     __UpperCamelCase							)
  														self.assertListEqual(__UpperCamelCase	,     __UpperCamelCase							)
  
  
  
  
style_context: 
  
  
  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   SCREAMING_SNAKE_CASE__						(							)			->							Tuple:
  				A__     :							List[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"]:
  								A__     :							Optional[int]   				=getattr(transformers.models.auto,	snake_case_,	snake_case_	)
  								if module is None:
  												continue
  								# all mappings in a single auto modeling file
  								A__     :							Optional[int]   				=[
  								    x
  								    for x in dir(snake_case_	)
  								    if x.endswith('''_MAPPING_NAMES'''	)
  								    and (x.startswith('''MODEL_'''	) or x.startswith('''TF_MODEL_'''	) or x.startswith('''FLAX_MODEL_'''	))
  								]
  								for name in mapping_names:
  												A__     :							Any   				=getattr(snake_case_,	snake_case_	)
  												if mapping is not None:
  																for v in mapping.values():
  																				if isinstance(snake_case_,	(list, tuple)	):
  																								model_names.update(snake_case_	)
  																				elif isinstance(snake_case_,	snake_case_	):
  																								model_names.add(snake_case_	)
  
  				return sorted(snake_case_	)
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							)			->							Optional[Any]:
  				# All model names defined in auto mappings
  				A__     :							int   				=set(get_all_model_names()	)
  
  				with open('''tests/utils/tiny_model_summary.json'''	) as fp:
  								A__     :							Union[str, Any]   				=json.load(snake_case_	)
  				A__     :							int   				=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.
  				A__     :							Optional[Any]   				=model_names.difference(snake_case_	)
  				for model_name in copy.copy(snake_case_	):
  								if not model_name.startswith('''TF'''	) and f'TF{model_name}' in not_on_hub:
  												tiny_models_names.remove(snake_case_	)
  								elif model_name.startswith('''TF'''	) and model_name[2:] in not_on_hub:
  												tiny_models_names.remove(snake_case_	)
  
  				return sorted(snake_case_	)
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							Tuple:
  				A__     :							Dict   				=COMPOSITE_MODELS.values()
  
  				# All tiny model base names on Hub
  				A__     :							Union[str, Any]   				=get_all_model_names()
  				A__     :							Optional[Any]   				=hf_api.list_models(
  				    filter=ModelFilter(
  				        author='''hf-internal-testing''',	)	)
  				A__     :							str   				=set()
  				for x in models:
  								A__     :							List[Any]   				=x.modelId
  								A__				,  A__     :							List[str]   				=model.split('''/'''	)
  								if not model.startswith('''tiny-random-'''	):
  												continue
  								A__     :							str   				=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(snake_case_	)
  
  				A__     :							Dict   				=sorted(_models	)
  				# All tiny model names on Hub
  				A__     :							Optional[int]   				={}
  				for model in models:
  								A__     :							Optional[int]   				=f'hf-internal-testing/tiny-random-{model}'
  								A__     :							str   				=model.split('''-'''	)[0]
  								try:
  												A__     :							int   				=hf_api.repo_info(snake_case_	)
  												A__     :							Optional[int]   				={
  												    '''tokenizer_classes''': set(),
  												    '''processor_classes''': set(),
  												    '''model_classes''': set(),
  												    '''sha''': repo_info.sha,
  												}
  								except Exception:
  												continue
  								try:
  												time.sleep(1	)
  												A__     :							List[str]   				=AutoTokenizer.from_pretrained(snake_case_	)
  												content["tokenizer_classes"].add(tokenizer_fast.__class__.__name__	)
  								except Exception:
  												pass
  								try:
  												time.sleep(1	)
  												A__     :							int   				=AutoTokenizer.from_pretrained(snake_case_,	use_fast=snake_case_	)
  												content["tokenizer_classes"].add(tokenizer_slow.__class__.__name__	)
  								except Exception:
  												pass
  								try:
  												time.sleep(1	)
  												A__     :							int   				=AutoImageProcessor.from_pretrained(snake_case_	)
  												content["processor_classes"].add(img_p.__class__.__name__	)
  								except Exception:
  												pass
  								try:
  												time.sleep(1	)
  												A__     :							Optional[int]   				=AutoFeatureExtractor.from_pretrained(snake_case_	)
  												if not isinstance(snake_case_,	snake_case_	):
  																content["processor_classes"].add(feat_p.__class__.__name__	)
  								except Exception:
  												pass
  								try:
  												time.sleep(1	)
  												A__     :							Tuple   				=getattr(snake_case_,	snake_case_	)
  												A__     :							Tuple   				=model_class.from_pretrained(snake_case_	)
  												content["model_classes"].add(m.__class__.__name__	)
  								except Exception:
  												pass
  								try:
  												time.sleep(1	)
  												A__     :							int   				=getattr(snake_case_,	f'TF{model}'	)
  												A__     :							Union[str, Any]   				=model_class.from_pretrained(snake_case_	)
  												content["model_classes"].add(m.__class__.__name__	)
  								except Exception:
  												pass
  
  								A__     :							List[str]   				=sorted(content['''tokenizer_classes''']	)
  								A__     :							Tuple   				=sorted(content['''processor_classes''']	)
  								A__     :							Optional[Any]   				=sorted(content['''model_classes''']	)
  
  								A__     :							List[Any]   				=content
  								with open(os.path.join(snake_case_,	'''hub_tiny_model_summary.json'''	),	'''w'''	) as fp:
  												json.dump(snake_case_,	snake_case_,	ensure_ascii=snake_case_,	indent=4	)
  
  
  if __name__ == "__main__":
  						__lowerCamelCase       :       Any				   =			argparse.ArgumentParser()
  						parser.add_argument("--num_workers", default=1, type=int, help="The number of workers to run.")
  						__lowerCamelCase       :       int				   =			parser.parse_args()
  
  						# This has to be `spawn` to avoid hanging forever!
  						multiprocessing.set_start_method("spawn")
  
  						__lowerCamelCase       :       Any				   =			"tiny_models"
  						__lowerCamelCase       :       Optional[int]				   =			True
  						__lowerCamelCase       :       int				   =			None
  						__lowerCamelCase       :       str				   =			get_tiny_model_names_from_repo()
  						__lowerCamelCase       :       List[Any]				   =			True
  						__lowerCamelCase       :       List[Any]				   =			True
  						__lowerCamelCase       :       Optional[Any]				   =			"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,
  						)
  
  
  
  