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 	lowercase		(				snake_case__				,					unittest.TestCase):
  
  
  
  
  
  
  	"""simple docstring"""
  
  
  	a__   :      Any	     =							RealmTokenizer
  	a__   :      Optional[Any]	     =							RealmTokenizerFast
  	a__   :      List[Any]	     =							True
  	a__   :      Dict	     =							True
  	a__   :      Optional[int]	     =							filter_non_english
  
  
  
  
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		Optional[int]  )    ->				Tuple:
  							super().setUp()
  
  							UpperCAmelCase_=     [
  							    """[UNK]""",
  							    """[CLS]""",
  							    """[SEP]""",
  							    """[PAD]""",
  							    """[MASK]""",
  							    """want""",
  							    """##want""",
  							    """##ed""",
  							    """wa""",
  							    """un""",
  							    """runn""",
  							    """##ing""",
  							    """,""",
  							    """low""",
  							    """lowest""",
  							]
  							UpperCAmelCase_=     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			:		Optional[Any]		,						__UpperCAmelCase			:		str  )    ->				str:
  							UpperCAmelCase_=     """UNwant\u00E9d,running"""
  							UpperCAmelCase_=     """unwanted, running"""
  							return input_text, output_text
  
  
  
  
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		Any  )    ->				Tuple:
  							UpperCAmelCase_=     self.tokenizer_class(self.vocab_file  )
  
  							UpperCAmelCase_=     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 						_SCREAMING_SNAKE_CASE	(			self			:		Optional[Any]  )    ->				Dict:
  							if not self.test_rust_tokenizer:
  													return
  
  							UpperCAmelCase_=     self.get_tokenizer()
  							UpperCAmelCase_=     self.get_rust_tokenizer()
  
  							UpperCAmelCase_=     """UNwant\u00E9d,running"""
  
  							UpperCAmelCase_=     tokenizer.tokenize(__UpperCAmelCase  )
  							UpperCAmelCase_=     rust_tokenizer.tokenize(__UpperCAmelCase  )
  							self.assertListEqual(__UpperCAmelCase		,						__UpperCAmelCase  )
  
  							UpperCAmelCase_=     tokenizer.encode(__UpperCAmelCase		,						add_special_tokens=__UpperCAmelCase  )
  							UpperCAmelCase_=     rust_tokenizer.encode(__UpperCAmelCase		,						add_special_tokens=__UpperCAmelCase  )
  							self.assertListEqual(__UpperCAmelCase		,						__UpperCAmelCase  )
  
  							UpperCAmelCase_=     self.get_rust_tokenizer()
  							UpperCAmelCase_=     tokenizer.encode(__UpperCAmelCase  )
  							UpperCAmelCase_=     rust_tokenizer.encode(__UpperCAmelCase  )
  							self.assertListEqual(__UpperCAmelCase		,						__UpperCAmelCase  )
  
  							# With lower casing
  							UpperCAmelCase_=     self.get_tokenizer(do_lower_case=__UpperCAmelCase  )
  							UpperCAmelCase_=     self.get_rust_tokenizer(do_lower_case=__UpperCAmelCase  )
  
  							UpperCAmelCase_=     """UNwant\u00E9d,running"""
  
  							UpperCAmelCase_=     tokenizer.tokenize(__UpperCAmelCase  )
  							UpperCAmelCase_=     rust_tokenizer.tokenize(__UpperCAmelCase  )
  							self.assertListEqual(__UpperCAmelCase		,						__UpperCAmelCase  )
  
  							UpperCAmelCase_=     tokenizer.encode(__UpperCAmelCase		,						add_special_tokens=__UpperCAmelCase  )
  							UpperCAmelCase_=     rust_tokenizer.encode(__UpperCAmelCase		,						add_special_tokens=__UpperCAmelCase  )
  							self.assertListEqual(__UpperCAmelCase		,						__UpperCAmelCase  )
  
  							UpperCAmelCase_=     self.get_rust_tokenizer()
  							UpperCAmelCase_=     tokenizer.encode(__UpperCAmelCase  )
  							UpperCAmelCase_=     rust_tokenizer.encode(__UpperCAmelCase  )
  							self.assertListEqual(__UpperCAmelCase		,						__UpperCAmelCase  )
  
  
  
  
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		Dict  )    ->				Optional[Any]:
  							UpperCAmelCase_=     BasicTokenizer()
  
  							self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""  )		,						["""ah""", """\u535A""", """\u63A8""", """zz"""]  )
  
  
  
  
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		Tuple  )    ->				List[str]:
  							UpperCAmelCase_=     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 						_SCREAMING_SNAKE_CASE	(			self			:		List[str]  )    ->				List[Any]:
  							UpperCAmelCase_=     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 						_SCREAMING_SNAKE_CASE	(			self			:		int  )    ->				Optional[Any]:
  							UpperCAmelCase_=     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 						_SCREAMING_SNAKE_CASE	(			self			:		Tuple  )    ->				List[str]:
  							UpperCAmelCase_=     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 						_SCREAMING_SNAKE_CASE	(			self			:		str  )    ->				Tuple:
  							UpperCAmelCase_=     BasicTokenizer(do_lower_case=__UpperCAmelCase  )
  
  							self.assertListEqual(
  							    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """  )		,						["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]  )
  
  
  
  
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		Any  )    ->				str:
  							UpperCAmelCase_=     BasicTokenizer(do_lower_case=__UpperCAmelCase		,						strip_accents=__UpperCAmelCase  )
  
  							self.assertListEqual(
  							    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """  )		,						["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]  )
  
  
  
  
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		Dict  )    ->				List[str]:
  							UpperCAmelCase_=     BasicTokenizer(do_lower_case=__UpperCAmelCase		,						strip_accents=__UpperCAmelCase  )
  
  							self.assertListEqual(
  							    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """  )		,						["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]  )
  
  
  
  
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		Tuple  )    ->				Any:
  							UpperCAmelCase_=     BasicTokenizer(do_lower_case=__UpperCAmelCase		,						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]  )    ->				Union[str, Any]:
  							UpperCAmelCase_=     ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]
  
  							UpperCAmelCase_=     {}
  							for i, token in enumerate(__UpperCAmelCase  ):
  													UpperCAmelCase_=     i
  							UpperCAmelCase_=     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 						_SCREAMING_SNAKE_CASE	(			self			:		str  )    ->				str:
  							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  )    ->				Tuple:
  							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  )    ->				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 						_SCREAMING_SNAKE_CASE	(			self			:		Optional[Any]  )    ->				str:
  							UpperCAmelCase_=     self.get_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]"""]]  )
  
  							if self.test_rust_tokenizer:
  													UpperCAmelCase_=     self.get_rust_tokenizer()
  													self.assertListEqual(
  													    [rust_tokenizer.tokenize(__UpperCAmelCase  ) for t in ["""Test""", """\xad""", """test"""]]		,						[["""[UNK]"""], [], ["""[UNK]"""]]  )
  
  
  
  
  	@slow
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		Optional[int]  )    ->				Union[str, Any]:
  							UpperCAmelCase_=     self.tokenizer_class.from_pretrained("""bert-base-uncased"""  )
  
  							UpperCAmelCase_=     tokenizer.encode("""sequence builders"""		,						add_special_tokens=__UpperCAmelCase  )
  							UpperCAmelCase_=     tokenizer.encode("""multi-sequence build"""		,						add_special_tokens=__UpperCAmelCase  )
  
  							UpperCAmelCase_=     tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase  )
  							UpperCAmelCase_=     tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase		,						__UpperCAmelCase  )
  
  							assert encoded_sentence == [101] + text + [102]
  							assert encoded_pair == [101] + text + [102] + text_a + [102]
  
  
  
  
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		str  )    ->				Tuple:
  							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  													with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
  																			UpperCAmelCase_=     self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase		,						**__UpperCAmelCase  )
  
  																			UpperCAmelCase_=     F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
  																			UpperCAmelCase_=     tokenizer_r.encode_plus(
  																			    __UpperCAmelCase		,						return_attention_mask=__UpperCAmelCase		,						return_token_type_ids=__UpperCAmelCase		,						return_offsets_mapping=__UpperCAmelCase		,						add_special_tokens=__UpperCAmelCase		,						)
  
  																			UpperCAmelCase_=     tokenizer_r.do_lower_case if hasattr(__UpperCAmelCase		,						"""do_lower_case"""  ) else False
  																			UpperCAmelCase_=     (
  																			    [
  																			        ((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"""]  )
  
  
  
  
  	@slow
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		Any  )    ->				Any:
  							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  													with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
  																			UpperCAmelCase_=     self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase		,						**__UpperCAmelCase  )
  																			UpperCAmelCase_=     self.tokenizer_class.from_pretrained(__UpperCAmelCase		,						**__UpperCAmelCase  )
  																			UpperCAmelCase_=     [["""Hello world!""", """Nice to meet you!"""], ["""The cute cat.""", """The adorable dog."""]]
  
  																			UpperCAmelCase_=     tokenizer_r.batch_encode_candidates(__UpperCAmelCase		,						max_length=10		,						return_tensors="""np"""  )
  																			UpperCAmelCase_=     tokenizer_p.batch_encode_candidates(__UpperCAmelCase		,						max_length=10		,						return_tensors="""np"""  )
  
  																			UpperCAmelCase_=     (2, 2, 10)
  
  																			self.assertEqual(encoded_sentence_r["""input_ids"""].shape		,						__UpperCAmelCase  )
  																			self.assertEqual(encoded_sentence_r["""attention_mask"""].shape		,						__UpperCAmelCase  )
  																			self.assertEqual(encoded_sentence_r["""token_type_ids"""].shape		,						__UpperCAmelCase  )
  
  																			self.assertEqual(encoded_sentence_p["""input_ids"""].shape		,						__UpperCAmelCase  )
  																			self.assertEqual(encoded_sentence_p["""attention_mask"""].shape		,						__UpperCAmelCase  )
  																			self.assertEqual(encoded_sentence_p["""token_type_ids"""].shape		,						__UpperCAmelCase  )
  
  
  
  
  
style_context: 
  
  
  
  import copy
  from typing import Dict
  
  from ...generation.configuration_utils import GenerationConfig
  from ...utils import logging
  
  
  __A       					=		logging.get_logger(__name__)
  
  
  
  
  
  
  class 	lowercase		(				snake_case__):
  
  
  
  
  
  
  	"""simple docstring"""
  
  
  	a__   :      Optional[int]	     =							"semantic"
  
  
  
  
  	def __init__(			self			:		Any		,						__UpperCAmelCase			:		List[str]=10_000		,						__UpperCAmelCase			:		List[Any]=True		,						__UpperCAmelCase			:		int=768		,						__UpperCAmelCase			:		Dict=False		,						__UpperCAmelCase			:		str=False		,						__UpperCAmelCase			:		Optional[int]=False		,						__UpperCAmelCase			:		int=False		,						__UpperCAmelCase			:		Union[str, Any]=0.7		,						__UpperCAmelCase			:		Optional[Any]=True		,						__UpperCAmelCase			:		int=10_048		,						__UpperCAmelCase			:		Dict=129_595		,						__UpperCAmelCase			:		Optional[Any]=129_599		,						__UpperCAmelCase			:		Tuple=10_000		,						__UpperCAmelCase			:		List[Any]=256		,						__UpperCAmelCase			:		Union[str, Any]=49.9		,						**__UpperCAmelCase			:		Optional[Any]		,						)    ->				Tuple:
  							super().__init__(
  							    temperature=__UpperCAmelCase		,						do_sample=__UpperCAmelCase		,						eos_token_id=__UpperCAmelCase		,						renormalize_logits=__UpperCAmelCase		,						max_new_tokens=__UpperCAmelCase		,						output_scores=__UpperCAmelCase		,						return_dict_in_generate=__UpperCAmelCase		,						output_hidden_states=__UpperCAmelCase		,						output_attentions=__UpperCAmelCase		,						**__UpperCAmelCase		,						)
  
  							UpperCAmelCase_=     text_encoding_offset
  							UpperCAmelCase_=     text_pad_token
  							UpperCAmelCase_=     eos_token_id
  							UpperCAmelCase_=     semantic_infer_token
  							UpperCAmelCase_=     semantic_vocab_size
  							UpperCAmelCase_=     max_input_semantic_length
  							UpperCAmelCase_=     semantic_rate_hz
  
  
  
  
  
  
  class 	lowercase		(				snake_case__):
  
  
  
  
  
  
  	"""simple docstring"""
  
  
  	a__   :      Any	     =							"coarse_acoustics"
  
  
  
  
  	def __init__(			self			:		Union[str, Any]		,						__UpperCAmelCase			:		Optional[Any]=True		,						__UpperCAmelCase			:		Optional[int]=False		,						__UpperCAmelCase			:		Union[str, Any]=False		,						__UpperCAmelCase			:		List[str]=False		,						__UpperCAmelCase			:		Any=False		,						__UpperCAmelCase			:		Union[str, Any]=0.7		,						__UpperCAmelCase			:		List[Any]=True		,						__UpperCAmelCase			:		Optional[int]=12_048		,						__UpperCAmelCase			:		Optional[Any]=75		,						__UpperCAmelCase			:		str=2		,						__UpperCAmelCase			:		Optional[int]=12_050		,						__UpperCAmelCase			:		Union[str, Any]=256		,						__UpperCAmelCase			:		int = 630		,						__UpperCAmelCase			:		int = 60		,						**__UpperCAmelCase			:		int		,						)    ->				Union[str, Any]:
  							super().__init__(
  							    temperature=__UpperCAmelCase		,						do_sample=__UpperCAmelCase		,						renormalize_logits=__UpperCAmelCase		,						output_scores=__UpperCAmelCase		,						return_dict_in_generate=__UpperCAmelCase		,						output_hidden_states=__UpperCAmelCase		,						output_attentions=__UpperCAmelCase		,						**__UpperCAmelCase		,						)
  
  							UpperCAmelCase_=     coarse_semantic_pad_token
  							UpperCAmelCase_=     coarse_rate_hz
  							UpperCAmelCase_=     n_coarse_codebooks
  							UpperCAmelCase_=     coarse_infer_token
  							UpperCAmelCase_=     max_coarse_input_length
  							UpperCAmelCase_=     max_coarse_history
  							UpperCAmelCase_=     sliding_window_len
  
  
  
  
  
  
  class 	lowercase		(				snake_case__):
  
  
  
  
  
  
  	"""simple docstring"""
  
  
  	a__   :      Tuple	     =							"fine_acoustics"
  
  
  
  
  	def __init__(			self			:		Tuple		,						__UpperCAmelCase			:		Tuple=0.5		,						__UpperCAmelCase			:		Optional[Any]=512		,						__UpperCAmelCase			:		Optional[Any]=1_024		,						__UpperCAmelCase			:		List[str]=8		,						**__UpperCAmelCase			:		str		,						)    ->				Tuple:
  							super().__init__(temperature=__UpperCAmelCase  )
  
  							UpperCAmelCase_=     max_fine_history_length
  							UpperCAmelCase_=     max_fine_input_length
  							UpperCAmelCase_=     n_fine_codebooks
  
  
  
  
  
  
  class 	lowercase		(				snake_case__):
  
  
  
  
  
  
  	"""simple docstring"""
  
  
  	a__   :      Any	     =							"bark"
  	a__   :      List[str]	     =							True
  
  
  
  
  	def __init__(			self			:		List[str]		,						__UpperCAmelCase			:		Dict = None		,						__UpperCAmelCase			:		Dict = None		,						__UpperCAmelCase			:		Dict = None		,						__UpperCAmelCase			:		str=24_000		,						__UpperCAmelCase			:		List[str]=1_024		,						**__UpperCAmelCase			:		Optional[int]		,						)    ->				List[str]:
  							if semantic_config is None:
  													UpperCAmelCase_=     {}
  													logger.info("""semantic_config is None. initializing the semantic model with default values."""  )
  
  							if coarse_acoustics_config is None:
  													UpperCAmelCase_=     {}
  													logger.info("""coarse_acoustics_config is None. initializing the coarse model with default values."""  )
  
  							if fine_acoustics_config is None:
  													UpperCAmelCase_=     {}
  													logger.info("""fine_acoustics_config is None. initializing the fine model with default values."""  )
  
  							UpperCAmelCase_=     BarkSemanticGenerationConfig(**__UpperCAmelCase  )
  							UpperCAmelCase_=     BarkCoarseGenerationConfig(**__UpperCAmelCase  )
  							UpperCAmelCase_=     BarkFineGenerationConfig(**__UpperCAmelCase  )
  
  							UpperCAmelCase_=     sample_rate
  							UpperCAmelCase_=     codebook_size
  
  
  
  
  	@classmethod
  	def 						_SCREAMING_SNAKE_CASE	(			cls			:		str		,						__UpperCAmelCase			:		BarkSemanticGenerationConfig		,						__UpperCAmelCase			:		BarkCoarseGenerationConfig		,						__UpperCAmelCase			:		BarkFineGenerationConfig		,						**__UpperCAmelCase			:		Any		,						)    ->				Any:
  							return cls(
  							    semantic_config=semantic_config.to_dict()		,						coarse_acoustics_config=coarse_acoustics_config.to_dict()		,						fine_acoustics_config=fine_acoustics_config.to_dict()		,						**__UpperCAmelCase		,						)
  
  
  
  
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		str  )    ->				Optional[Any]:
  							UpperCAmelCase_=     copy.deepcopy(self.__dict__  )
  
  							UpperCAmelCase_=     self.semantic_config.to_dict()
  							UpperCAmelCase_=     self.coarse_acoustics_config.to_dict()
  							UpperCAmelCase_=     self.fine_acoustics_config.to_dict()
  
  							UpperCAmelCase_=     self.__class__.model_type
  							return output
  
  
  
  
  