code: 
  import os
  import unittest
  
  from transformers import RealmTokenizerFast
  from transformers.models.bert.tokenization_bert import (
      VOCAB_FILES_NAMES,
      BasicTokenizer,
      WordpieceTokenizer,
      _is_control,
      _is_punctuation,
      _is_whitespace,
  )
  from transformers.models.realm.tokenization_realm import RealmTokenizer
  from transformers.testing_utils import require_tokenizers, slow
  
  from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
  
  
  
  
  
  @require_tokenizers
  class 						lowerCamelCase			(					__lowerCamelCase   ,		unittest.TestCase				):
  	UpperCamelCase_     :				Dict								=  RealmTokenizer
  	UpperCamelCase_     :				Optional[Any]								=  RealmTokenizerFast
  	UpperCamelCase_     :				Dict								=  True
  	UpperCamelCase_     :				int								=  True
  	UpperCamelCase_     :				str								=  filter_non_english
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Tuple )		->			Any:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				super().setUp()
  
  				SCREAMING_SNAKE_CASE    	=   [
  				    '''[UNK]''',
  				    '''[CLS]''',
  				    '''[SEP]''',
  				    '''[PAD]''',
  				    '''[MASK]''',
  				    '''want''',
  				    '''##want''',
  				    '''##ed''',
  				    '''wa''',
  				    '''un''',
  				    '''runn''',
  				    '''##ing''',
  				    ''',''',
  				    '''low''',
  				    '''lowest''',
  				]
  				SCREAMING_SNAKE_CASE    	=   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    snake_case__    (    self			:Union[str, Any]      ,    lowercase			:Optional[Any] )		->			Dict:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   '''UNwant\u00E9d,running'''
  				SCREAMING_SNAKE_CASE    	=   '''unwanted, running'''
  				return input_text, output_text
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:List[Any] )		->			str:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   self.tokenizer_class(self.vocab_file )
  
  				SCREAMING_SNAKE_CASE    	=   tokenizer.tokenize('''UNwant\u00E9d,running''' )
  				self.assertListEqual(lowercase      ,    ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing'''] )
  				self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase )      ,    [9, 6, 7, 1_2, 1_0, 1_1] )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:str )		->			int:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				if not self.test_rust_tokenizer:
  							return
  
  				SCREAMING_SNAKE_CASE    	=   self.get_tokenizer()
  				SCREAMING_SNAKE_CASE    	=   self.get_rust_tokenizer()
  
  				SCREAMING_SNAKE_CASE    	=   '''UNwant\u00E9d,running'''
  
  				SCREAMING_SNAKE_CASE    	=   tokenizer.tokenize(lowercase )
  				SCREAMING_SNAKE_CASE    	=   rust_tokenizer.tokenize(lowercase )
  				self.assertListEqual(lowercase      ,    lowercase )
  
  				SCREAMING_SNAKE_CASE    	=   tokenizer.encode(lowercase      ,    add_special_tokens=lowercase )
  				SCREAMING_SNAKE_CASE    	=   rust_tokenizer.encode(lowercase      ,    add_special_tokens=lowercase )
  				self.assertListEqual(lowercase      ,    lowercase )
  
  				SCREAMING_SNAKE_CASE    	=   self.get_rust_tokenizer()
  				SCREAMING_SNAKE_CASE    	=   tokenizer.encode(lowercase )
  				SCREAMING_SNAKE_CASE    	=   rust_tokenizer.encode(lowercase )
  				self.assertListEqual(lowercase      ,    lowercase )
  
  				# With lower casing
  				SCREAMING_SNAKE_CASE    	=   self.get_tokenizer(do_lower_case=lowercase )
  				SCREAMING_SNAKE_CASE    	=   self.get_rust_tokenizer(do_lower_case=lowercase )
  
  				SCREAMING_SNAKE_CASE    	=   '''UNwant\u00E9d,running'''
  
  				SCREAMING_SNAKE_CASE    	=   tokenizer.tokenize(lowercase )
  				SCREAMING_SNAKE_CASE    	=   rust_tokenizer.tokenize(lowercase )
  				self.assertListEqual(lowercase      ,    lowercase )
  
  				SCREAMING_SNAKE_CASE    	=   tokenizer.encode(lowercase      ,    add_special_tokens=lowercase )
  				SCREAMING_SNAKE_CASE    	=   rust_tokenizer.encode(lowercase      ,    add_special_tokens=lowercase )
  				self.assertListEqual(lowercase      ,    lowercase )
  
  				SCREAMING_SNAKE_CASE    	=   self.get_rust_tokenizer()
  				SCREAMING_SNAKE_CASE    	=   tokenizer.encode(lowercase )
  				SCREAMING_SNAKE_CASE    	=   rust_tokenizer.encode(lowercase )
  				self.assertListEqual(lowercase      ,    lowercase )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Optional[int] )		->			str:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   BasicTokenizer()
  
  				self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz''' )      ,    ['''ah''', '''\u535A''', '''\u63A8''', '''zz'''] )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:str )		->			Any:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   BasicTokenizer(do_lower_case=lowercase )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  ''' )      ,    ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?'''] )
  				self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''' )      ,    ['''hello'''] )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Optional[int] )		->			Union[str, Any]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   BasicTokenizer(do_lower_case=lowercase      ,    strip_accents=lowercase )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''' )      ,    ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?'''] )
  				self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''' )      ,    ['''h\u00E9llo'''] )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Union[str, Any] )		->			int:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   BasicTokenizer(do_lower_case=lowercase      ,    strip_accents=lowercase )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''' )      ,    ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?'''] )
  				self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''' )      ,    ['''hello'''] )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Union[str, Any] )		->			List[str]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   BasicTokenizer(do_lower_case=lowercase )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''' )      ,    ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?'''] )
  				self.assertListEqual(tokenizer.tokenize('''H\u00E9llo''' )      ,    ['''hello'''] )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:List[str] )		->			str:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   BasicTokenizer(do_lower_case=lowercase )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  ''' )      ,    ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?'''] )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Union[str, Any] )		->			Optional[Any]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   BasicTokenizer(do_lower_case=lowercase      ,    strip_accents=lowercase )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''' )      ,    ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?'''] )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Any )		->			List[Any]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   BasicTokenizer(do_lower_case=lowercase      ,    strip_accents=lowercase )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  ''' )      ,    ['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?'''] )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:List[str] )		->			Optional[int]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   BasicTokenizer(do_lower_case=lowercase      ,    never_split=['''[UNK]'''] )
  
  				self.assertListEqual(
  				    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]''' )      ,    ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]'''] )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Optional[Any] )		->			List[Any]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']
  
  				SCREAMING_SNAKE_CASE    	=   {}
  				for i, token in enumerate(lowercase ):
  							SCREAMING_SNAKE_CASE    	=   i
  				SCREAMING_SNAKE_CASE    	=   WordpieceTokenizer(vocab=lowercase      ,    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    snake_case__    (    self			:Union[str, Any] )		->			Dict:
  
  
  
  
  
  
  
  				"""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    snake_case__    (    self			:Any )		->			int:
  
  
  
  
  
  
  
  				"""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    snake_case__    (    self			:Optional[int] )		->			Dict:
  
  
  
  
  
  
  
  				"""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    snake_case__    (    self			:int )		->			Any:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   self.get_tokenizer()
  
  				# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
  				self.assertListEqual([tokenizer.tokenize(lowercase ) for t in ['''Test''', '''\xad''', '''test''']]      ,    [['''[UNK]'''], [], ['''[UNK]''']] )
  
  				if self.test_rust_tokenizer:
  							SCREAMING_SNAKE_CASE    	=   self.get_rust_tokenizer()
  							self.assertListEqual(
  							    [rust_tokenizer.tokenize(lowercase ) for t in ['''Test''', '''\xad''', '''test''']]      ,    [['''[UNK]'''], [], ['''[UNK]''']] )
  
  
  
  
  
  
  
  	@slow
  	def    snake_case__    (    self			:Optional[Any] )		->			Optional[int]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   self.tokenizer_class.from_pretrained('''bert-base-uncased''' )
  
  				SCREAMING_SNAKE_CASE    	=   tokenizer.encode('''sequence builders'''      ,    add_special_tokens=lowercase )
  				SCREAMING_SNAKE_CASE    	=   tokenizer.encode('''multi-sequence build'''      ,    add_special_tokens=lowercase )
  
  				SCREAMING_SNAKE_CASE    	=   tokenizer.build_inputs_with_special_tokens(lowercase )
  				SCREAMING_SNAKE_CASE    	=   tokenizer.build_inputs_with_special_tokens(lowercase      ,    lowercase )
  
  				assert encoded_sentence == [1_0_1] + text + [1_0_2]
  				assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Any )		->			Optional[int]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  							with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
  										SCREAMING_SNAKE_CASE    	=   self.rust_tokenizer_class.from_pretrained(lowercase      ,    **lowercase )
  
  										SCREAMING_SNAKE_CASE    	=   f"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
  										SCREAMING_SNAKE_CASE    	=   tokenizer_r.encode_plus(
  										    lowercase      ,    return_attention_mask=lowercase      ,    return_token_type_ids=lowercase      ,    return_offsets_mapping=lowercase      ,    add_special_tokens=lowercase      ,    )
  
  										SCREAMING_SNAKE_CASE    	=   tokenizer_r.do_lower_case if hasattr(lowercase      ,    '''do_lower_case''' ) else False
  										SCREAMING_SNAKE_CASE    	=   (
  										    [
  										        ((0, 0), tokenizer_r.cls_token),
  										        ((0, 1), '''A'''),
  										        ((1, 2), ''','''),
  										        ((3, 5), '''na'''),
  										        ((5, 6), '''##ï'''),
  										        ((6, 8), '''##ve'''),
  										        ((9, 1_5), tokenizer_r.mask_token),
  										        ((1_6, 2_1), '''Allen'''),
  										        ((2_1, 2_3), '''##NL'''),
  										        ((2_3, 2_4), '''##P'''),
  										        ((2_5, 3_3), '''sentence'''),
  										        ((3_3, 3_4), '''.'''),
  										        ((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, 1_5), tokenizer_r.mask_token),
  										        ((1_6, 2_1), '''allen'''),
  										        ((2_1, 2_3), '''##nl'''),
  										        ((2_3, 2_4), '''##p'''),
  										        ((2_5, 3_3), '''sentence'''),
  										        ((3_3, 3_4), '''.'''),
  										        ((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'''] )
  
  
  
  
  
  
  
  	@slow
  	def    snake_case__    (    self			:Any )		->			Optional[int]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  							with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
  										SCREAMING_SNAKE_CASE    	=   self.rust_tokenizer_class.from_pretrained(lowercase      ,    **lowercase )
  										SCREAMING_SNAKE_CASE    	=   self.tokenizer_class.from_pretrained(lowercase      ,    **lowercase )
  										SCREAMING_SNAKE_CASE    	=   [['''Hello world!''', '''Nice to meet you!'''], ['''The cute cat.''', '''The adorable dog.''']]
  
  										SCREAMING_SNAKE_CASE    	=   tokenizer_r.batch_encode_candidates(lowercase      ,    max_length=1_0      ,    return_tensors='''np''' )
  										SCREAMING_SNAKE_CASE    	=   tokenizer_p.batch_encode_candidates(lowercase      ,    max_length=1_0      ,    return_tensors='''np''' )
  
  										SCREAMING_SNAKE_CASE    	=   (2, 2, 1_0)
  
  										self.assertEqual(encoded_sentence_r['''input_ids'''].shape      ,    lowercase )
  										self.assertEqual(encoded_sentence_r['''attention_mask'''].shape      ,    lowercase )
  										self.assertEqual(encoded_sentence_r['''token_type_ids'''].shape      ,    lowercase )
  
  										self.assertEqual(encoded_sentence_p['''input_ids'''].shape      ,    lowercase )
  										self.assertEqual(encoded_sentence_p['''attention_mask'''].shape      ,    lowercase )
  										self.assertEqual(encoded_sentence_p['''token_type_ids'''].shape      ,    lowercase )
style_context: 
  import argparse
  import os
  from dataclasses import dataclass
  
  import torch
  import torchaudio
  from tqdm import tqdm
  
  from transformers import AutoConfig, AutoModelForCTC, AutoProcessor
  
  
  
  
  
  class 						lowerCamelCase			:
  
  
  
  
  
  
  
  	def __init__(    self			:Optional[int]      ,    lowercase			:Optional[Any]      ,    lowercase			:Optional[int]      ,    lowercase			:int )		->			Optional[int]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   cuda
  				SCREAMING_SNAKE_CASE    	=   AutoConfig.from_pretrained(lowercase )
  				SCREAMING_SNAKE_CASE    	=   AutoModelForCTC.from_pretrained(lowercase )
  				self.model.eval()
  				if self.cuda:
  							self.model.to(device='''cuda''' )
  				SCREAMING_SNAKE_CASE    	=   AutoProcessor.from_pretrained(lowercase )
  				SCREAMING_SNAKE_CASE    	=   torchaudio.transforms.Resample(lowercase      ,    1_6_0_0_0 )
  				SCREAMING_SNAKE_CASE    	=   0
  				SCREAMING_SNAKE_CASE    	=   list(self.processor.tokenizer.get_vocab().keys() )
  				for i in range(len(lowercase ) ):
  							if vocab[i] == "[PAD]" or vocab[i] == "<pad>":
  										SCREAMING_SNAKE_CASE    	=   i
  				print('''Blank Token id [PAD]/<pad>'''      ,    lowercase )
  				SCREAMING_SNAKE_CASE    	=   blank_id
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Any      ,    lowercase			:int )		->			Optional[int]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   torchaudio.load(lowercase )
  				SCREAMING_SNAKE_CASE    	=   self.resampler(lowercase ).squeeze().numpy()
  				return speech
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Union[str, Any]      ,    lowercase			:Optional[Any] )		->			int:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   self.blank_id
  				SCREAMING_SNAKE_CASE    	=   '''|'''.join(item['''sent'''].split(''' ''' ) )
  				if not os.path.isfile(item['''wav_path'''] ):
  							print(item['''wav_path''']      ,    '''not found in wavs directory''' )
  
  				SCREAMING_SNAKE_CASE    	=   self.speech_file_to_array_fn(item['''wav_path'''] )
  				SCREAMING_SNAKE_CASE    	=   self.processor(lowercase      ,    sampling_rate=1_6_0_0_0      ,    return_tensors='''pt'''      ,    padding=lowercase )
  				if self.cuda:
  							SCREAMING_SNAKE_CASE    	=   inputs.to(device='''cuda''' )
  
  				with torch.no_grad():
  							SCREAMING_SNAKE_CASE    	=   self.model(inputs.input_values ).logits
  
  				# get the emission probability at frame level
  				SCREAMING_SNAKE_CASE    	=   torch.log_softmax(lowercase      ,    dim=-1 )
  				SCREAMING_SNAKE_CASE    	=   emissions[0].cpu().detach()
  
  				# get labels from vocab
  				SCREAMING_SNAKE_CASE    	=   ([''''''] + list(self.processor.tokenizer.get_vocab().keys() ))[
  				    :-1
  				]  # logits don't align with the tokenizer's vocab
  
  				SCREAMING_SNAKE_CASE    	=   {c: i for i, c in enumerate(lowercase )}
  				SCREAMING_SNAKE_CASE    	=   []
  				for c in transcript:
  							if c in dictionary:
  										tokens.append(dictionary[c] )
  
  				def get_trellis(lowercase			:List[Any]      ,    lowercase			:Any      ,    lowercase			:int=0 ):
  							SCREAMING_SNAKE_CASE    	=   emission.size(0 )
  							SCREAMING_SNAKE_CASE    	=   len(lowercase )
  
  							# Trellis has extra diemsions for both time axis and tokens.
  							# The extra dim for tokens represents <SoS> (start-of-sentence)
  							# The extra dim for time axis is for simplification of the code.
  							SCREAMING_SNAKE_CASE    	=   torch.full((num_frames + 1, num_tokens + 1)      ,    -float('''inf''' ) )
  							SCREAMING_SNAKE_CASE    	=   0
  							for t in range(lowercase ):
  										SCREAMING_SNAKE_CASE    	=   torch.maximum(
  										    # Score for staying at the same token
  										    trellis[t, 1:] + emission[t, blank_id]      ,    trellis[t, :-1] + emission[t, tokens]      ,    )
  							return trellis
  
  				SCREAMING_SNAKE_CASE    	=   get_trellis(lowercase      ,    lowercase      ,    lowercase )
  
  
  
  
  
  				@dataclass
  				class 						lowerCamelCase			:
  					UpperCamelCase_     :				int
  					UpperCamelCase_     :				int
  					UpperCamelCase_     :				float
  
  				def backtrack(lowercase			:Optional[int]      ,    lowercase			:List[str]      ,    lowercase			:Union[str, Any]      ,    lowercase			:Optional[Any]=0 ):
  							SCREAMING_SNAKE_CASE    	=   trellis.size(1 ) - 1
  							SCREAMING_SNAKE_CASE    	=   torch.argmax(trellis[:, j] ).item()
  
  							SCREAMING_SNAKE_CASE    	=   []
  							for t in range(lowercase      ,    0      ,    -1 ):
  										# 1. Figure out if the current position was stay or change
  										# Note (again):
  										# `emission[J-1]` is the emission at time frame `J` of trellis dimension.
  										# Score for token staying the same from time frame J-1 to T.
  										SCREAMING_SNAKE_CASE    	=   trellis[t - 1, j] + emission[t - 1, blank_id]
  										# Score for token changing from C-1 at T-1 to J at T.
  										SCREAMING_SNAKE_CASE    	=   trellis[t - 1, j - 1] + emission[t - 1, tokens[j - 1]]
  
  										# 2. Store the path with frame-wise probability.
  										SCREAMING_SNAKE_CASE    	=   emission[t - 1, tokens[j - 1] if changed > stayed else 0].exp().item()
  										# Return token index and time index in non-trellis coordinate.
  										path.append(Point(j - 1      ,    t - 1      ,    lowercase ) )
  
  										# 3. Update the token
  										if changed > stayed:
  													j -= 1
  													if j == 0:
  																break
  							else:
  										raise ValueError('''Failed to align''' )
  							return path[::-1]
  
  				SCREAMING_SNAKE_CASE    	=   backtrack(lowercase      ,    lowercase      ,    lowercase      ,    lowercase )
  
  
  
  
  
  				@dataclass
  				class 						lowerCamelCase			:
  					UpperCamelCase_     :				str
  					UpperCamelCase_     :				int
  					UpperCamelCase_     :				int
  					UpperCamelCase_     :				float
  
  
  
  
  
  
  
  					def __repr__(    self			:Optional[Any] )		->			str:
  
  
  
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								return f"""{self.label}\t{self.score:4.2f}\t{self.start*2_0:5d}\t{self.end*2_0:5d}"""
  
  
  
  
  
  
  
  					@property
  					def    snake_case__    (    self			:List[str] )		->			Any:
  
  
  
  
  
  
  
  								"""simple docstring"""
  
  
  
  
  
  
  								return self.end - self.start
  
  				def merge_repeats(lowercase			:List[str] ):
  							SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   0, 0
  							SCREAMING_SNAKE_CASE    	=   []
  							while ia < len(lowercase ):
  										while ia < len(lowercase ) and path[ia].token_index == path[ia].token_index:
  													ia += 1
  										SCREAMING_SNAKE_CASE    	=   sum(path[k].score for k in range(lowercase      ,    lowercase ) ) / (ia - ia)
  										segments.append(
  										    Segment(
  										        transcript[path[ia].token_index]      ,    path[ia].time_index      ,    path[ia - 1].time_index + 1      ,    lowercase      ,    ) )
  										SCREAMING_SNAKE_CASE    	=   ia
  							return segments
  
  				SCREAMING_SNAKE_CASE    	=   merge_repeats(lowercase )
  				with open(item['''out_path''']      ,    '''w''' ) as out_align:
  							for seg in segments:
  										out_align.write(str(lowercase ) + '''\n''' )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:List[Any]      ,    lowercase			:Dict      ,    lowercase			:Tuple      ,    lowercase			:str )		->			Dict:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				if not os.path.exists(lowercase ):
  							os.makedirs(lowercase )
  
  				# load text file
  				SCREAMING_SNAKE_CASE    	=   open(lowercase      ,    encoding='''utf8''' ).readlines()
  
  				SCREAMING_SNAKE_CASE    	=   []
  				for line in lines:
  							if len(line.strip().split('''\t''' ) ) != 2:
  										print('''Script must be in format: 00001  this is my sentence''' )
  										exit()
  
  							SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   line.strip().split('''\t''' )
  							SCREAMING_SNAKE_CASE    	=   os.path.join(lowercase      ,    wav_name + '''.wav''' )
  							SCREAMING_SNAKE_CASE    	=   os.path.join(lowercase      ,    wav_name + '''.txt''' )
  
  							items.append({'''sent''': sentence, '''wav_path''': wav_path, '''out_path''': out_path} )
  				print('''Number of samples found in script file'''      ,    len(lowercase ) )
  
  				for item in tqdm(lowercase ):
  							self.align_single_sample(lowercase )
  
  
  
  def       a			(   )    ->Optional[int]:
  
  
  
  
  			'''simple docstring'''
  
  
  			SCREAMING_SNAKE_CASE    	=   argparse.ArgumentParser()
  
  			parser.add_argument(
  			    '''--model_name'''		,	type=a		,	default='''arijitx/wav2vec2-xls-r-300m-bengali'''		,	help='''wav2vec model name'''  )
  			parser.add_argument('''--wav_dir'''		,	type=a		,	default='''./wavs'''		,	help='''directory containing wavs'''  )
  			parser.add_argument('''--text_file'''		,	type=a		,	default='''script.txt'''		,	help='''file containing text'''  )
  			parser.add_argument('''--input_wavs_sr'''		,	type=a		,	default=1_6000		,	help='''sampling rate of input audios'''  )
  			parser.add_argument(
  			    '''--output_dir'''		,	type=a		,	default='''./out_alignment'''		,	help='''output directory containing the alignment files'''  )
  			parser.add_argument('''--cuda'''		,	action='''store_true'''  )
  
  			SCREAMING_SNAKE_CASE    	=   parser.parse_args()
  
  			SCREAMING_SNAKE_CASE    	=   WavaVecaAligner(args.model_name		,	args.input_wavs_sr		,	args.cuda  )
  			aligner.align_data(args.wav_dir		,	args.text_file		,	args.output_dir  )
  
  
  if __name__ == "__main__":
  							main()