

import copy
from typing import Dict

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


lowercase     :       List[Any]        =       logging.get_logger(__name__)
class 		SCREAMING_SNAKE_CASE__					(		lowerCamelCase__   ):







						"""simple docstring"""




						lowercase  :				Optional[Any]											=							'semantic'

						def __init__(				self , __UpperCamelCase=1_00_00 , __UpperCamelCase=True , __UpperCamelCase=7_68 , __UpperCamelCase=False , __UpperCamelCase=False , __UpperCamelCase=False , __UpperCamelCase=False , __UpperCamelCase=0.7 , __UpperCamelCase=True , __UpperCamelCase=1_00_48 , __UpperCamelCase=12_95_95 , __UpperCamelCase=12_95_99 , __UpperCamelCase=1_00_00 , __UpperCamelCase=2_56 , __UpperCamelCase=49.9 , **__UpperCamelCase , )							->	List[Any]:




									'''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_ , )

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







class 		SCREAMING_SNAKE_CASE__					(		lowerCamelCase__   ):







						"""simple docstring"""




						lowercase  :				int											=							'coarse_acoustics'

						def __init__(				self , __UpperCamelCase=True , __UpperCamelCase=False , __UpperCamelCase=False , __UpperCamelCase=False , __UpperCamelCase=False , __UpperCamelCase=0.7 , __UpperCamelCase=True , __UpperCamelCase=1_20_48 , __UpperCamelCase=75 , __UpperCamelCase=2 , __UpperCamelCase=1_20_50 , __UpperCamelCase=2_56 , __UpperCamelCase = 6_30 , __UpperCamelCase = 60 , **__UpperCamelCase , )							->	Tuple:




									'''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_ , )

									__UpperCamelCase    :    List[Any]								=      coarse_semantic_pad_token
									__UpperCamelCase    :    List[str]								=      coarse_rate_hz
									__UpperCamelCase    :    Any								=      n_coarse_codebooks
									__UpperCamelCase    :    Optional[Any]								=      coarse_infer_token
									__UpperCamelCase    :    Any								=      max_coarse_input_length
									__UpperCamelCase    :    str								=      max_coarse_history
									__UpperCamelCase    :    Any								=      sliding_window_len







class 		SCREAMING_SNAKE_CASE__					(		lowerCamelCase__   ):







						"""simple docstring"""




						lowercase  :				List[str]											=							'fine_acoustics'

						def __init__(				self , __UpperCamelCase=0.5 , __UpperCamelCase=5_12 , __UpperCamelCase=10_24 , __UpperCamelCase=8 , **__UpperCamelCase , )							->	Optional[int]:




									'''simple docstring'''


									super().__init__(temperature=lowercase_    )

									__UpperCamelCase    :    Dict								=      max_fine_history_length
									__UpperCamelCase    :    str								=      max_fine_input_length
									__UpperCamelCase    :    List[str]								=      n_fine_codebooks







class 		SCREAMING_SNAKE_CASE__					(		lowerCamelCase__   ):







						"""simple docstring"""




						lowercase  :				Dict											=							'bark'
						lowercase  :				Optional[int]											=							True

						def __init__(				self , __UpperCamelCase = None , __UpperCamelCase = None , __UpperCamelCase = None , __UpperCamelCase=2_40_00 , __UpperCamelCase=10_24 , **__UpperCamelCase , )							->	str:




									'''simple docstring'''


									if semantic_config is None:
												__UpperCamelCase    :    Tuple								=      {}
												logger.info("semantic_config is None. initializing the semantic model with default values."    )

									if coarse_acoustics_config is None:
												__UpperCamelCase    :    List[str]								=      {}
												logger.info("coarse_acoustics_config is None. initializing the coarse model with default values."    )

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

									__UpperCamelCase    :    List[Any]								=      BarkSemanticGenerationConfig(**lowercase_    )
									__UpperCamelCase    :    Any								=      BarkCoarseGenerationConfig(**lowercase_    )
									__UpperCamelCase    :    int								=      BarkFineGenerationConfig(**lowercase_    )

									__UpperCamelCase    :    Tuple								=      sample_rate
									__UpperCamelCase    :    Any								=      codebook_size

						@classmethod
						def __lowerCamelCase					(				cls , __UpperCamelCase , __UpperCamelCase , __UpperCamelCase , **__UpperCamelCase , )							->	Tuple:




									'''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 __lowerCamelCase					(				self    )							->	Tuple:




									'''simple docstring'''


									__UpperCamelCase    :    List[str]								=      copy.deepcopy(self.__dict__    )

									__UpperCamelCase    :    Dict								=      self.semantic_config.to_dict()
									__UpperCamelCase    :    Optional[int]								=      self.coarse_acoustics_config.to_dict()
									__UpperCamelCase    :    Optional[int]								=      self.fine_acoustics_config.to_dict()

									__UpperCamelCase    :    str								=      self.__class__.model_type
									return output


from .balanced_parentheses import balanced_parentheses
from .stack import Stack







def  UpperCAmelCase_   (_lowerCAmelCase :		str		):
			return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(_lowerCAmelCase     ,			-1		)







def  UpperCAmelCase_   (_lowerCAmelCase :		str		):
			if not balanced_parentheses(_lowerCAmelCase		):
						raise ValueError("Mismatched parentheses"		)
			__UpperCamelCase    :    Stack[str]								=      Stack()
			__UpperCamelCase    :    int								=      []
			for char in expression_str:
						if char.isalpha() or char.isdigit():
									postfix.append(_lowerCAmelCase		)
						elif char == "(":
									stack.push(_lowerCAmelCase		)
						elif char == ")":
									while not stack.is_empty() and stack.peek() != "(":
												postfix.append(stack.pop()		)
									stack.pop()
						else:
									while not stack.is_empty() and precedence(_lowerCAmelCase		) <= precedence(stack.peek()		):
												postfix.append(stack.pop()		)
									stack.push(_lowerCAmelCase		)
			while not stack.is_empty():
						postfix.append(stack.pop()		)
			return " ".join(_lowerCAmelCase		)


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

					testmod()
					lowercase     :       int        =       "a+b*(c^d-e)^(f+g*h)-i"

					print("Infix to Postfix Notation demonstration:\n")
					print("Infix notation: " + expression)
					print("Postfix notation: " + infix_to_postfix(expression))