
'''simple docstring'''


import copy
from typing import Dict

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


__lowercase							:				List[str]					=       logging.get_logger(__name__)

class 		__lowercase			(					UpperCAmelCase_      ):
			lowerCamelCase     :						Tuple		 =     "semantic"

			def __init__(self     ,				A=1_0_0_0_0     ,				A=True     ,				A=7_6_8     ,				A=False     ,				A=False     ,				A=False     ,				A=False     ,				A=0.7     ,				A=True     ,				A=1_0_0_4_8     ,				A=1_2_9_5_9_5     ,				A=1_2_9_5_9_9     ,				A=1_0_0_0_0     ,				A=2_5_6     ,				A=49.9     ,				**A     ,				):
								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     ,				)

								lowerCamelCase_   : Any       =						text_encoding_offset
								lowerCamelCase_   : Optional[Any]       =						text_pad_token
								lowerCamelCase_   : List[Any]       =						eos_token_id
								lowerCamelCase_   : Dict       =						semantic_infer_token
								lowerCamelCase_   : List[str]       =						semantic_vocab_size
								lowerCamelCase_   : List[str]       =						max_input_semantic_length
								lowerCamelCase_   : Tuple       =						semantic_rate_hz




class 		__lowercase			(					UpperCAmelCase_      ):
			lowerCamelCase     :						Optional[int]		 =     "coarse_acoustics"

			def __init__(self     ,				A=True     ,				A=False     ,				A=False     ,				A=False     ,				A=False     ,				A=0.7     ,				A=True     ,				A=1_2_0_4_8     ,				A=7_5     ,				A=2     ,				A=1_2_0_5_0     ,				A=2_5_6     ,				A = 6_3_0     ,				A = 6_0     ,				**A     ,				):
								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     ,				)

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




class 		__lowercase			(					UpperCAmelCase_      ):
			lowerCamelCase     :						List[Any]		 =     "fine_acoustics"

			def __init__(self     ,				A=0.5     ,				A=5_1_2     ,				A=1_0_2_4     ,				A=8     ,				**A     ,				):
								super().__init__(temperature=__UpperCamelCase )

								lowerCamelCase_   : Optional[int]       =						max_fine_history_length
								lowerCamelCase_   : List[Any]       =						max_fine_input_length
								lowerCamelCase_   : Dict       =						n_fine_codebooks




class 		__lowercase			(					UpperCAmelCase_      ):
			lowerCamelCase     :						List[str]		 =     "bark"
			lowerCamelCase     :						List[Any]		 =     True

			def __init__(self     ,				A = None     ,				A = None     ,				A = None     ,				A=2_4_0_0_0     ,				A=1_0_2_4     ,				**A     ,				):
								if semantic_config is None:
													lowerCamelCase_   : int       =						{}
													logger.info('''semantic_config is None. initializing the semantic model with default values.''' )

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

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

								lowerCamelCase_   : int       =						BarkSemanticGenerationConfig(**__UpperCamelCase )
								lowerCamelCase_   : Optional[Any]       =						BarkCoarseGenerationConfig(**__UpperCamelCase )
								lowerCamelCase_   : Dict       =						BarkFineGenerationConfig(**__UpperCamelCase )

								lowerCamelCase_   : int       =						sample_rate
								lowerCamelCase_   : str       =						codebook_size

			@classmethod
			def     UpperCAmelCase__	(cls     ,				A     ,				A     ,				A     ,				**A     ,				):
								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     UpperCAmelCase__	(self ):
								lowerCamelCase_   : int       =						copy.deepcopy(self.__dict__ )

								lowerCamelCase_   : Union[str, Any]       =						self.semantic_config.to_dict()
								lowerCamelCase_   : List[Any]       =						self.coarse_acoustics_config.to_dict()
								lowerCamelCase_   : Optional[int]       =						self.fine_acoustics_config.to_dict()

								lowerCamelCase_   : List[Any]       =						self.__class__.model_type
								return output




'''simple docstring'''


def lowercase_		(				_lowercase			)       ->							int:
					'''simple docstring'''

					if not isinstance(_lowercase     ,    _lowercase			):
										raise TypeError('''recursive_lucas_number accepts only integer arguments.'''			)
					if n_th_number == 0:
										return 2
					if n_th_number == 1:
										return 1

					return recursive_lucas_number(n_th_number - 1			) + recursive_lucas_number(
					    n_th_number - 2			)




def lowercase_		(				_lowercase			)       ->							int:
					'''simple docstring'''

					if not isinstance(_lowercase     ,    _lowercase			):
										raise TypeError('''dynamic_lucas_number accepts only integer arguments.'''			)
					lowerCamelCase_, lowerCamelCase_   : List[Any]       =						2, 1
					for _ in range(_lowercase			):
										lowerCamelCase_, lowerCamelCase_   : Dict       =						b, a + b
					return a


if __name__ == "__main__":
					from doctest import testmod

					testmod()
					__lowercase							:				Any					=       int(input('''Enter the number of terms in lucas series:\n''').strip())
					print('''Using recursive function to calculate lucas series:''')
					print(''' '''.join(str(recursive_lucas_number(i)) for i in range(n)))
					print('''\nUsing dynamic function to calculate lucas series:''')
					print(''' '''.join(str(dynamic_lucas_number(i)) for i in range(n)))


