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 					snake_case_							(       lowercase_      ,			unittest.TestCase      ):
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
     __lowerCAmelCase      =						ElectraTokenizer
     __lowerCAmelCase      =						ElectraTokenizerFast
     __lowerCAmelCase      =						True
     __lowerCAmelCase      =						True
     __lowerCAmelCase      =						filter_non_english
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	str	)  ->		int:
  
  
         """simple docstring"""
  
  
  
         super().setUp()
  
         _lowercase     =	[
             '[UNK]',
             '[CLS]',
             '[SEP]',
             '[PAD]',
             '[MASK]',
             'want',
             '##want',
             '##ed',
             'wa',
             'un',
             'runn',
             '##ing',
             ',',
             'low',
             'lowest',
         ]
         _lowercase     =	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 			SCREAMING_SNAKE_CASE__				(    self:	str   ,       snake_case__:	List[str]	)  ->		Any:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	'UNwant\u00E9d,running'
         _lowercase     =	'unwanted, running'
         return input_text, output_text
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	Optional[Any]	)  ->		str:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	self.tokenizer_class(self.vocab_file	)
  
         _lowercase     =	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 			SCREAMING_SNAKE_CASE__				(    self:	Optional[int]	)  ->		int:
  
  
         """simple docstring"""
  
  
  
         if not self.test_rust_tokenizer:
             return
  
         _lowercase     =	self.get_tokenizer()
         _lowercase     =	self.get_rust_tokenizer()
  
         _lowercase     =	'UNwant\u00E9d,running'
  
         _lowercase     =	tokenizer.tokenize(snake_case__	)
         _lowercase     =	rust_tokenizer.tokenize(snake_case__	)
         self.assertListEqual(snake_case__   ,       snake_case__	)
  
         _lowercase     =	tokenizer.encode(snake_case__   ,       add_special_tokens=snake_case__	)
         _lowercase     =	rust_tokenizer.encode(snake_case__   ,       add_special_tokens=snake_case__	)
         self.assertListEqual(snake_case__   ,       snake_case__	)
  
         _lowercase     =	self.get_rust_tokenizer()
         _lowercase     =	tokenizer.encode(snake_case__	)
         _lowercase     =	rust_tokenizer.encode(snake_case__	)
         self.assertListEqual(snake_case__   ,       snake_case__	)
  
         # With lower casing
         _lowercase     =	self.get_tokenizer(do_lower_case=snake_case__	)
         _lowercase     =	self.get_rust_tokenizer(do_lower_case=snake_case__	)
  
         _lowercase     =	'UNwant\u00E9d,running'
  
         _lowercase     =	tokenizer.tokenize(snake_case__	)
         _lowercase     =	rust_tokenizer.tokenize(snake_case__	)
         self.assertListEqual(snake_case__   ,       snake_case__	)
  
         _lowercase     =	tokenizer.encode(snake_case__   ,       add_special_tokens=snake_case__	)
         _lowercase     =	rust_tokenizer.encode(snake_case__   ,       add_special_tokens=snake_case__	)
         self.assertListEqual(snake_case__   ,       snake_case__	)
  
         _lowercase     =	self.get_rust_tokenizer()
         _lowercase     =	tokenizer.encode(snake_case__	)
         _lowercase     =	rust_tokenizer.encode(snake_case__	)
         self.assertListEqual(snake_case__   ,       snake_case__	)
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	int	)  ->		List[str]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	BasicTokenizer()
  
         self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'	)   ,       ['ah', '\u535A', '\u63A8', 'zz']	)
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	Any	)  ->		List[str]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	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 			SCREAMING_SNAKE_CASE__				(    self:	int	)  ->		Tuple:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	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 			SCREAMING_SNAKE_CASE__				(    self:	Tuple	)  ->		str:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	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 			SCREAMING_SNAKE_CASE__				(    self:	Tuple	)  ->		str:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	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 			SCREAMING_SNAKE_CASE__				(    self:	int	)  ->		Dict:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	BasicTokenizer(do_lower_case=snake_case__	)
  
         self.assertListEqual(
             tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '	)   ,       ['HeLLo', '!', 'how', 'Are', 'yoU', '?']	)
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	Optional[Any]	)  ->		List[str]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	BasicTokenizer(do_lower_case=snake_case__   ,       strip_accents=snake_case__	)
  
         self.assertListEqual(
             tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '	)   ,       ['HäLLo', '!', 'how', 'Are', 'yoU', '?']	)
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	Optional[Any]	)  ->		Optional[Any]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	BasicTokenizer(do_lower_case=snake_case__   ,       strip_accents=snake_case__	)
  
         self.assertListEqual(
             tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '	)   ,       ['HaLLo', '!', 'how', 'Are', 'yoU', '?']	)
  
     def 			SCREAMING_SNAKE_CASE__				(    self:	Any	)  ->		str:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	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 			SCREAMING_SNAKE_CASE__				(    self:	Optional[Any]	)  ->		List[str]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']
  
         _lowercase     =	{}
         for i, token in enumerate(snake_case__	):
             _lowercase     =	i
         _lowercase     =	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 			SCREAMING_SNAKE_CASE__				(    self:	int	)  ->		Optional[Any]:
  
  
         """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 			SCREAMING_SNAKE_CASE__				(    self:	str	)  ->		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 			SCREAMING_SNAKE_CASE__				(    self:	str	)  ->		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 			SCREAMING_SNAKE_CASE__				(    self:	Optional[int]	)  ->		List[str]:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	self.get_tokenizer()
         _lowercase     =	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 			SCREAMING_SNAKE_CASE__				(    self:	Optional[int]	)  ->		Tuple:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	self.tokenizer_class.from_pretrained('google/electra-base-discriminator'	)
  
         _lowercase     =	tokenizer.encode('sequence builders'   ,       add_special_tokens=snake_case__	)
         _lowercase     =	tokenizer.encode('multi-sequence build'   ,       add_special_tokens=snake_case__	)
  
         _lowercase     =	tokenizer.build_inputs_with_special_tokens(snake_case__	)
         _lowercase     =	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 			SCREAMING_SNAKE_CASE__				(    self:	Dict	)  ->		Optional[int]:
  
  
         """simple docstring"""
  
  
  
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
                 _lowercase     =	self.rust_tokenizer_class.from_pretrained(snake_case__   ,       **snake_case__	)
  
                 _lowercase     =	f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
                 _lowercase     =	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__   ,       )
  
                 _lowercase     =	tokenizer_r.do_lower_case if hasattr(snake_case__   ,       'do_lower_case'	) else False
                 _lowercase     =	(
                     [
                         ((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 			SCREAMING_SNAKE_CASE__				(    self:	int	)  ->		Any:
  
  
         """simple docstring"""
  
  
  
         _lowercase     =	['的', '人', '有']
         _lowercase     =	''.join(snake_case__	)
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
                 _lowercase     =	True
                 _lowercase     =	self.tokenizer_class.from_pretrained(snake_case__   ,       **snake_case__	)
                 _lowercase     =	self.rust_tokenizer_class.from_pretrained(snake_case__   ,       **snake_case__	)
  
                 _lowercase     =	tokenizer_p.encode(snake_case__   ,       add_special_tokens=snake_case__	)
                 _lowercase     =	tokenizer_r.encode(snake_case__   ,       add_special_tokens=snake_case__	)
  
                 _lowercase     =	tokenizer_r.convert_ids_to_tokens(snake_case__	)
                 _lowercase     =	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__	)
  
                 _lowercase     =	False
                 _lowercase     =	self.rust_tokenizer_class.from_pretrained(snake_case__   ,       **snake_case__	)
                 _lowercase     =	self.tokenizer_class.from_pretrained(snake_case__   ,       **snake_case__	)
  
                 _lowercase     =	tokenizer_r.encode(snake_case__   ,       add_special_tokens=snake_case__	)
                 _lowercase     =	tokenizer_p.encode(snake_case__   ,       add_special_tokens=snake_case__	)
  
                 _lowercase     =	tokenizer_r.convert_ids_to_tokens(snake_case__	)
                 _lowercase     =	tokenizer_p.convert_ids_to_tokens(snake_case__	)
  
                 # it is expected that only the first Chinese character is not preceded by "##".
                 _lowercase     =	[
                     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: 
  
  
  
  
  
  
  import argparse
  
  import torch
  
  from transformers import HubertConfig, HubertForSequenceClassification, WavaVecaFeatureExtractor, logging
  
  
  logging.set_verbosity_info()
  lowerCamelCase										=  logging.get_logger(__name__)
  
  lowerCamelCase										=  ['''UtteranceLevel''']
  @torch.no_grad()
  def        UpperCAmelCase      (   _lowercase,      _lowercase,      _lowercase,      _lowercase      ):
  
  
      '''simple docstring'''
  
  
  
      _lowercase     =	torch.load(_lowercase,      map_location='cpu'      )
      if checkpoint["Config"]["downstream_expert"]["modelrc"]["select"] not in SUPPORTED_MODELS:
          raise NotImplementedError(f'''The supported s3prl models are {SUPPORTED_MODELS}'''      )
  
      _lowercase     =	checkpoint['Downstream']
  
      _lowercase     =	HubertConfig.from_pretrained(_lowercase      )
      _lowercase     =	HubertForSequenceClassification.from_pretrained(_lowercase,      config=_lowercase      )
      _lowercase     =	WavaVecaFeatureExtractor.from_pretrained(
          _lowercase,      return_attention_mask=_lowercase,      do_normalize=_lowercase      )
  
      if hf_congfig.use_weighted_layer_sum:
          _lowercase     =	checkpoint['Featurizer']['weights']
  
      _lowercase     =	downstream_dict['projector.weight']
      _lowercase     =	downstream_dict['projector.bias']
      _lowercase     =	downstream_dict['model.post_net.linear.weight']
      _lowercase     =	downstream_dict['model.post_net.linear.bias']
  
      hf_feature_extractor.save_pretrained(_lowercase      )
      hf_model.save_pretrained(_lowercase      )
  
  
  if __name__ == "__main__":
     lowerCamelCase										=  argparse.ArgumentParser()
     parser.add_argument(
         '''--base_model_name''', default=None, type=str, help='''Name of the huggingface pretrained base model.'''
     )
     parser.add_argument('''--config_path''', default=None, type=str, help='''Path to the huggingface classifier config.''')
     parser.add_argument('''--checkpoint_path''', default=None, type=str, help='''Path to the s3prl checkpoint.''')
     parser.add_argument('''--model_dump_path''', default=None, type=str, help='''Path to the final converted model.''')
     lowerCamelCase										=  parser.parse_args()
     convert_saprl_checkpoint(args.base_model_name, args.config_path, args.checkpoint_path, args.model_dump_path)
  