




import copy
from typing import Dict

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


UpperCamelCase__		=						logging.get_logger(__name__)


class     __SCREAMING_SNAKE_CASE							(		lowerCamelCase  ):
					_lowerCamelCase		  =			"""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			,	):







						'''simple docstring'''




						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			,	)

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


class     __SCREAMING_SNAKE_CASE							(		lowerCamelCase  ):
					_lowerCamelCase		  =			"""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			,	):







						'''simple docstring'''




						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			,	)

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


class     __SCREAMING_SNAKE_CASE							(		lowerCamelCase  ):
					_lowerCamelCase		  =			"""fine_acoustics"""

					def __init__(    self			,	__lowercase=0.5			,	__lowercase=512			,	__lowercase=1_024			,	__lowercase=8			,	**__lowercase			,	):







						'''simple docstring'''




						super().__init__(temperature=__lowercase )

						lowerCamelCase_							:		Any							       =							max_fine_history_length
						lowerCamelCase_							:		Tuple							       =							max_fine_input_length
						lowerCamelCase_							:		int							       =							n_fine_codebooks


class     __SCREAMING_SNAKE_CASE							(		lowerCamelCase  ):
					_lowerCamelCase		  =			"""bark"""
					_lowerCamelCase		  =			True

					def __init__(    self			,	__lowercase = None			,	__lowercase = None			,	__lowercase = None			,	__lowercase=24_000			,	__lowercase=1_024			,	**__lowercase			,	):







						'''simple docstring'''




						if semantic_config is None:
							lowerCamelCase_							:		List[str]							       =							{}
							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_							:		Union[str, Any]							       =							{}
							logger.info('fine_acoustics_config is None. initializing the fine model with default values.' )

						lowerCamelCase_							:		Dict							       =							BarkSemanticGenerationConfig(**__lowercase )
						lowerCamelCase_							:		Union[str, Any]							       =							BarkCoarseGenerationConfig(**__lowercase )
						lowerCamelCase_							:		Tuple							       =							BarkFineGenerationConfig(**__lowercase )

						lowerCamelCase_							:		str							       =							sample_rate
						lowerCamelCase_							:		Dict							       =							codebook_size

					@classmethod
					def      lowercase_							(    cls			,	__lowercase			,	__lowercase			,	__lowercase			,	**__lowercase			,	):







						'''simple docstring'''




						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      lowercase_							(    self ):







						'''simple docstring'''




						lowerCamelCase_							:		Optional[Any]							       =							copy.deepcopy(self.__dict__ )

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

						lowerCamelCase_							:		Tuple							       =							self.__class__.model_type
						return output






from __future__ import annotations






def  snake_case (							A						,       A      )							->							Union[str, Any]:




	'''simple docstring'''


	lowerCamelCase_							:		Tuple							       =							0
	lowerCamelCase_							:		str							       =							len(A      ) - 1
	while left <= right:
		lowerCamelCase_							:		str							       =							(left + right) // 2
		if left == right:
			if sorted_list[middle] < item:
				lowerCamelCase_							:		List[Any]							       =							middle + 1
			break
		elif sorted_list[middle] < item:
			lowerCamelCase_							:		Any							       =							middle + 1
		else:
			lowerCamelCase_							:		Optional[int]							       =							middle - 1
	sorted_list.insert(A						,       A      )
	return sorted_list






def  snake_case (							A						,       A      )							->							Union[str, Any]:




	'''simple docstring'''


	lowerCamelCase_							:		List[Any]							       =							[]
	while left and right:
		if left[0][0] < right[0][0]:
			result.append(left.pop(0      )      )
		else:
			result.append(right.pop(0      )      )
	return result + left + right






def  snake_case (							A      )							->							Any:




	'''simple docstring'''


	lowerCamelCase_							:		List[Any]							       =							len(A      )
	if length <= 1:
		return list_ad
	lowerCamelCase_							:		Any							       =							length // 2
	return merge(sortlist_ad(list_ad[:middle]      )						,       sortlist_ad(list_ad[middle:]      )      )






def  snake_case (							A      )							->							list[int]:




	'''simple docstring'''


	if len(A      ) <= 1:
		return collection
	lowerCamelCase_							:		Tuple							       =							[]
	lowerCamelCase_							:		int							       =							False
	for i in range(0						,       len(A      )						,       2      ):
		if i == len(A      ) - 1:
			lowerCamelCase_							:		Any							       =							True
		else:
			if collection[i] < collection[i + 1]:
				two_paired_list.append([collection[i], collection[i + 1]]      )
			else:
				two_paired_list.append([collection[i + 1], collection[i]]      )
	lowerCamelCase_							:		Union[str, Any]							       =							sortlist_ad(A      )
	lowerCamelCase_							:		int							       =							[i[0] for i in sorted_list_ad]
	result.append(sorted_list_ad[-1][1]      )
	if has_last_odd_item:
		lowerCamelCase_							:		List[str]							       =							collection[-1]
		lowerCamelCase_							:		Optional[Any]							       =							binary_search_insertion(A						,       A      )
	lowerCamelCase_							:		Optional[Any]							       =							False
	for i in range(len(A      ) - 1      ):
		if result[i] == collection[-1] and has_last_odd_item:
			lowerCamelCase_							:		Optional[Any]							       =							True
		lowerCamelCase_							:		Dict							       =							sorted_list_ad[i][1]
		# If last_odd_item is inserted before the item's index,
		# you should forward index one more.
		if is_last_odd_item_inserted_before_this_index:
			lowerCamelCase_							:		Dict							       =							result[: i + 2] + binary_search_insertion(result[i + 2 :]						,       A      )
		else:
			lowerCamelCase_							:		str							       =							result[: i + 1] + binary_search_insertion(result[i + 1 :]						,       A      )

	return result


if __name__ == "__main__":
							UpperCamelCase__		=						input('Enter numbers separated by a comma:\n').strip()
							UpperCamelCase__		=						[int(item) for item in user_input.split(',')]
							print(merge_insertion_sort(unsorted))
