



import copy
from typing import Dict

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


UpperCAmelCase							=       logging.get_logger(__name__)

class 			__snake_case   ( SCREAMING_SNAKE_CASE):







							'''simple docstring'''






							UpperCamelCase__					:   Optional[Any]       =       """semantic"""


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

											a__					   =		text_encoding_offset
											a__					   =		text_pad_token
											a__					   =		eos_token_id
											a__					   =		semantic_infer_token
											a__					   =		semantic_vocab_size
											a__					   =		max_input_semantic_length
											a__					   =		semantic_rate_hz




class 			__snake_case   ( SCREAMING_SNAKE_CASE):







							'''simple docstring'''






							UpperCamelCase__					:   Tuple       =       """coarse_acoustics"""


							def __init__(				self	,	a_=True	,	a_=False	,	a_=False	,	a_=False	,	a_=False	,	a_=0.7	,	a_=True	,	a_=12_048	,	a_=75	,	a_=2	,	a_=12_050	,	a_=256	,	a_ = 630	,	a_ = 60	,	**a_	,	):
											super().__init__(
											    temperature=a_	,	do_sample=a_	,	renormalize_logits=a_	,	output_scores=a_	,	return_dict_in_generate=a_	,	output_hidden_states=a_	,	output_attentions=a_	,	**a_	,	)

											a__					   =		coarse_semantic_pad_token
											a__					   =		coarse_rate_hz
											a__					   =		n_coarse_codebooks
											a__					   =		coarse_infer_token
											a__					   =		max_coarse_input_length
											a__					   =		max_coarse_history
											a__					   =		sliding_window_len




class 			__snake_case   ( SCREAMING_SNAKE_CASE):







							'''simple docstring'''






							UpperCamelCase__					:   str       =       """fine_acoustics"""


							def __init__(				self	,	a_=0.5	,	a_=512	,	a_=1_024	,	a_=8	,	**a_	,	):
											super().__init__(temperature=a_		)

											a__					   =		max_fine_history_length
											a__					   =		max_fine_input_length
											a__					   =		n_fine_codebooks




class 			__snake_case   ( SCREAMING_SNAKE_CASE):







							'''simple docstring'''






							UpperCamelCase__					:   Union[str, Any]       =       """bark"""
							UpperCamelCase__					:   str       =       True


							def __init__(				self	,	a_ = None	,	a_ = None	,	a_ = None	,	a_=24_000	,	a_=1_024	,	**a_	,	):
											if semantic_config is None:
															a__					   =		{}
															logger.info("""semantic_config is None. initializing the semantic model with default values."""		)

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

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

											a__					   =		BarkSemanticGenerationConfig(**a_		)
											a__					   =		BarkCoarseGenerationConfig(**a_		)
											a__					   =		BarkFineGenerationConfig(**a_		)

											a__					   =		sample_rate
											a__					   =		codebook_size


							@classmethod
							def _a   (				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()	,	**a_	,	)







							def _a   (				self		):
											a__					   =		copy.deepcopy(self.__dict__		)

											a__					   =		self.semantic_config.to_dict()
											a__					   =		self.coarse_acoustics_config.to_dict()
											a__					   =		self.fine_acoustics_config.to_dict()

											a__					   =		self.__class__.model_type
											return output






UpperCAmelCase							=       (1, 153, 370, 371, 1_634, 24_678_051, 115_132_219_018_763_992_565_095_597_973_971_522_401)
UpperCAmelCase							=       (-153, -1, 0, 1.2, 200, "A", [], {}, None)

def       A_   (						__a  :					int		):

				"""simple docstring"""
				if not isinstance(__a			,		__a		) or n < 1:
								return False

				# Initialization of sum and number of digits.
				a__					   =		0
				a__					   =		0
				a__					   =		n
				# Calculation of digits of the number
				while temp > 0:
								number_of_digits += 1
								temp //= 10
				# Dividing number into separate digits and find Armstrong number
				a__					   =		n
				while temp > 0:
								a__					   =		temp % 10
								total += rem**number_of_digits
								temp //= 10
				return n == total

def       A_   (						__a  :					int		):

				"""simple docstring"""
				if not isinstance(__a			,		__a		) or n < 1:
								return False

				# Init a "histogram" of the digits
				a__					   =		[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
				a__					   =		0
				a__					   =		0
				a__					   =		n
				while temp > 0:
								a__   ,      a__					   =		divmod(__a			,		10		)
								digit_histogram[rem] += 1
								digit_total += 1

				for cnt, i in zip(__a			,		range(len(__a		)		)		):
								total += cnt * i**digit_total

				return n == total

def       A_   (						__a  :					int		):

				"""simple docstring"""
				if not isinstance(__a			,		__a		) or n < 1:
								return False
				a__					   =		len(str(__a		)		)  # the power that all digits will be raised to
				# check if sum of each digit multiplied expo times is equal to number
				return n == sum(int(__a		) ** expo for i in str(__a		)		)

def       A_   (						):

				"""simple docstring"""
				a__					   =		int(input("""Enter an integer to see if it is an Armstrong number: """		).strip()		)
				print(F'''{num} is {"" if armstrong_number(__a		) else "not "}an Armstrong number.'''		)
				print(F'''{num} is {"" if narcissistic_number(__a		) else "not "}an Armstrong number.'''		)
				print(F'''{num} is {"" if pluperfect_number(__a		) else "not "}an Armstrong number.'''		)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()

