






import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase

@require_tokenizers
class      UpperCamelCase_							(				unittest.TestCase       ):
						lowercase									=  EsmTokenizer




						def      snake_case__(    self       )			->						str:
													super().setUp()
													_a  :    Optional[Any]			=						tempfile.mkdtemp()
													# fmt: off
													_a  :    List[str]			=						["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
													# fmt: on
													_a  :    int			=						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		,	**lowercase       )			->						List[PreTrainedTokenizerBase]:
													return [self.get_tokenizer(**lowercase       )]




						def      snake_case__(    self		,	**lowercase       )			->						PreTrainedTokenizer:
													return self.tokenizer_class.from_pretrained(self.tmpdirname		,	**lowercase       )




						def      snake_case__(    self       )			->						Union[str, Any]:
													_a  :    Tuple			=						self.tokenizer_class(self.vocab_file       )

													_a  :    Union[str, Any]			=						tokenizer.tokenize('''LAGVS'''       )
													self.assertListEqual(lowercase		,	['''L''', '''A''', '''G''', '''V''', '''S''']       )
													self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase       )		,	[4, 5, 6, 7, 8]       )




						def      snake_case__(    self       )			->						Tuple:
													_a  :    List[Any]			=						self.tokenizer_class(self.vocab_file       )

													_a  :    List[str]			=						'''LAGVS'''
													self.assertListEqual(tokenizer.encode(lowercase       )		,	[0, 4, 5, 6, 7, 8, 2]       )




						def      snake_case__(    self       )			->						List[Any]:
													_a  :    Dict			=						self.tokenizer_class(self.vocab_file       )

													_a  :    Optional[int]			=						['''LAGVS''', '''WCB''']
													_a  :    Optional[int]			=						tokenizer(lowercase		,	padding=lowercase       )['''input_ids''']

													self.assertListEqual(lowercase		,	[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]       )




						def      snake_case__(    self       )			->						List[Any]:
													_a  :    List[str]			=						self.tokenizer_class(self.vocab_file       )

													_a  :    Dict			=						['''LAGVS''', '''WCB''']
													_a  :    Union[str, Any]			=						tokenizer(lowercase		,	padding=lowercase       )['''input_ids''']

													self.assertListEqual(lowercase		,	[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]       )







						def      snake_case__(    self       )			->						int:
													_a  :    Any			=						self.get_tokenizers(fast=lowercase       )
													for tokenizer in tokenizers:
																				with self.subTest(F'{tokenizer.__class__.__name__}'       ):
																											_a  :    Union[str, Any]			=						'''<unk>'''
																											_a  :    Optional[Any]			=						'''<mask>'''

																											_a  :    Dict			=						tokenizer.tokenize(lowercase       )
																											_a  :    List[Any]			=						tokenizer.tokenize(lowercase       )

																											self.assertEqual(len(lowercase       )		,	1       )
																											self.assertEqual(len(lowercase       )		,	1       )
																											self.assertEqual(token_a[0]		,	lowercase       )
																											self.assertEqual(token_a[0]		,	lowercase       )







import copy
from typing import Dict

from ...generation.configuration_utils import GenerationConfig
from ...utils import logging


__lowerCamelCase						= logging.get_logger(__name__)

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''semantic'''




						def __init__(    self		,	lowercase=10_000		,	lowercase=True		,	lowercase=768		,	lowercase=False		,	lowercase=False		,	lowercase=False		,	lowercase=False		,	lowercase=0.7		,	lowercase=True		,	lowercase=10_048		,	lowercase=129_595		,	lowercase=129_599		,	lowercase=10_000		,	lowercase=256		,	lowercase=49.9		,	**lowercase		,	)			->						int:
													super().__init__(
													    temperature=lowercase		,	do_sample=lowercase		,	eos_token_id=lowercase		,	renormalize_logits=lowercase		,	max_new_tokens=lowercase		,	output_scores=lowercase		,	return_dict_in_generate=lowercase		,	output_hidden_states=lowercase		,	output_attentions=lowercase		,	**lowercase		,	)

													_a  :    Optional[int]			=						text_encoding_offset
													_a  :    str			=						text_pad_token
													_a  :    List[str]			=						eos_token_id
													_a  :    Tuple			=						semantic_infer_token
													_a  :    int			=						semantic_vocab_size
													_a  :    List[str]			=						max_input_semantic_length
													_a  :    Union[str, Any]			=						semantic_rate_hz

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''coarse_acoustics'''




						def __init__(    self		,	lowercase=True		,	lowercase=False		,	lowercase=False		,	lowercase=False		,	lowercase=False		,	lowercase=0.7		,	lowercase=True		,	lowercase=12_048		,	lowercase=75		,	lowercase=2		,	lowercase=12_050		,	lowercase=256		,	lowercase = 630		,	lowercase = 60		,	**lowercase		,	)			->						List[Any]:
													super().__init__(
													    temperature=lowercase		,	do_sample=lowercase		,	renormalize_logits=lowercase		,	output_scores=lowercase		,	return_dict_in_generate=lowercase		,	output_hidden_states=lowercase		,	output_attentions=lowercase		,	**lowercase		,	)

													_a  :    str			=						coarse_semantic_pad_token
													_a  :    Any			=						coarse_rate_hz
													_a  :    Dict			=						n_coarse_codebooks
													_a  :    str			=						coarse_infer_token
													_a  :    List[Any]			=						max_coarse_input_length
													_a  :    Union[str, Any]			=						max_coarse_history
													_a  :    Any			=						sliding_window_len

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''fine_acoustics'''




						def __init__(    self		,	lowercase=0.5		,	lowercase=512		,	lowercase=1_024		,	lowercase=8		,	**lowercase		,	)			->						str:
													super().__init__(temperature=lowercase       )

													_a  :    Tuple			=						max_fine_history_length
													_a  :    Tuple			=						max_fine_input_length
													_a  :    Any			=						n_fine_codebooks

class      UpperCamelCase_							(				UpperCamelCase       ):
						lowercase									=  '''bark'''
						lowercase									=  True




						def __init__(    self		,	lowercase = None		,	lowercase = None		,	lowercase = None		,	lowercase=24_000		,	lowercase=1_024		,	**lowercase		,	)			->						List[str]:
													if semantic_config is None:
																				_a  :    str			=						{}
																				logger.info('''semantic_config is None. initializing the semantic model with default values.'''       )

													if coarse_acoustics_config is None:
																				_a  :    Any			=						{}
																				logger.info('''coarse_acoustics_config is None. initializing the coarse model with default values.'''       )

													if fine_acoustics_config is None:
																				_a  :    int			=						{}
																				logger.info('''fine_acoustics_config is None. initializing the fine model with default values.'''       )

													_a  :    List[Any]			=						BarkSemanticGenerationConfig(**lowercase       )
													_a  :    Union[str, Any]			=						BarkCoarseGenerationConfig(**lowercase       )
													_a  :    str			=						BarkFineGenerationConfig(**lowercase       )

													_a  :    List[str]			=						sample_rate
													_a  :    str			=						codebook_size




						@classmethod
						def      snake_case__(    cls		,	lowercase		,	lowercase		,	lowercase		,	**lowercase		,	)			->						List[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()		,	**lowercase		,	)







						def      snake_case__(    self       )			->						List[str]:
													_a  :    Any			=						copy.deepcopy(self.__dict__       )

													_a  :    str			=						self.semantic_config.to_dict()
													_a  :    Any			=						self.coarse_acoustics_config.to_dict()
													_a  :    Union[str, Any]			=						self.fine_acoustics_config.to_dict()

													_a  :    List[str]			=						self.__class__.model_type
													return output