




'''simple docstring'''

import copy
from typing import Dict

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


a__         =     logging.get_logger(__name__)





class __magic_name__(						__lowerCAmelCase      ):
						UpperCAmelCase_		:					Optional[Any]    =  """semantic"""






						def __init__(   self						:						str					,   __UpperCamelCase						:						Optional[int]=1_0_0_0_0					,   __UpperCamelCase						:						Any=True					,   __UpperCamelCase						:						Any=7_6_8					,   __UpperCamelCase						:						Union[str, Any]=False					,   __UpperCamelCase						:						Union[str, Any]=False					,   __UpperCamelCase						:						List[str]=False					,   __UpperCamelCase						:						Tuple=False					,   __UpperCamelCase						:						Optional[int]=0.7					,   __UpperCamelCase						:						Union[str, Any]=True					,   __UpperCamelCase						:						str=1_0_0_4_8					,   __UpperCamelCase						:						Dict=1_2_9_5_9_5					,   __UpperCamelCase						:						Dict=1_2_9_5_9_9					,   __UpperCamelCase						:						Tuple=1_0_0_0_0					,   __UpperCamelCase						:						Optional[Any]=2_5_6					,   __UpperCamelCase						:						int=49.9					,   **__UpperCamelCase						:						Optional[int]					,   ):



									'''simple docstring'''






									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					,   )

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







class __magic_name__(						__lowerCAmelCase      ):
						UpperCAmelCase_		:					List[str]    =  """coarse_acoustics"""






						def __init__(   self						:						List[Any]					,   __UpperCamelCase						:						Optional[Any]=True					,   __UpperCamelCase						:						str=False					,   __UpperCamelCase						:						Dict=False					,   __UpperCamelCase						:						Optional[Any]=False					,   __UpperCamelCase						:						Dict=False					,   __UpperCamelCase						:						int=0.7					,   __UpperCamelCase						:						List[Any]=True					,   __UpperCamelCase						:						Any=1_2_0_4_8					,   __UpperCamelCase						:						Dict=7_5					,   __UpperCamelCase						:						Any=2					,   __UpperCamelCase						:						List[str]=1_2_0_5_0					,   __UpperCamelCase						:						List[str]=2_5_6					,   __UpperCamelCase						:						int = 6_3_0					,   __UpperCamelCase						:						int = 6_0					,   **__UpperCamelCase						:						List[Any]					,   ):



									'''simple docstring'''






									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					,   )

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







class __magic_name__(						__lowerCAmelCase      ):
						UpperCAmelCase_		:					List[str]    =  """fine_acoustics"""






						def __init__(   self						:						Optional[int]					,   __UpperCamelCase						:						Optional[int]=0.5					,   __UpperCamelCase						:						Union[str, Any]=5_1_2					,   __UpperCamelCase						:						Optional[Any]=1_0_2_4					,   __UpperCamelCase						:						List[Any]=8					,   **__UpperCamelCase						:						Tuple					,   ):



									'''simple docstring'''






									super().__init__(temperature=__UpperCamelCase       )

									snake_case__          =						max_fine_history_length
									snake_case__          =						max_fine_input_length
									snake_case__          =						n_fine_codebooks







class __magic_name__(						__lowerCAmelCase      ):
						UpperCAmelCase_		:					Tuple    =  """bark"""
						UpperCAmelCase_		:					Any    =  True






						def __init__(   self						:						Optional[int]					,   __UpperCamelCase						:						Dict = None					,   __UpperCamelCase						:						Dict = None					,   __UpperCamelCase						:						Dict = None					,   __UpperCamelCase						:						str=2_4_0_0_0					,   __UpperCamelCase						:						Optional[int]=1_0_2_4					,   **__UpperCamelCase						:						str					,   ):



									'''simple docstring'''






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

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

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

									snake_case__          =						BarkSemanticGenerationConfig(**__UpperCamelCase       )
									snake_case__          =						BarkCoarseGenerationConfig(**__UpperCamelCase       )
									snake_case__          =						BarkFineGenerationConfig(**__UpperCamelCase       )

									snake_case__          =						sample_rate
									snake_case__          =						codebook_size






						@classmethod
						def       __lowerCAmelCase(   cls						:						Dict					,   __UpperCamelCase						:						BarkSemanticGenerationConfig					,   __UpperCamelCase						:						BarkCoarseGenerationConfig					,   __UpperCamelCase						:						BarkFineGenerationConfig					,   **__UpperCamelCase						:						Dict					,   ):



									'''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()					,   **__UpperCamelCase					,   )







						def       __lowerCAmelCase(   self						:						int       ):



									'''simple docstring'''






									snake_case__          =						copy.deepcopy(self.__dict__       )

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

									snake_case__          =						self.__class__.model_type
									return output



'''simple docstring'''




#
# Sort large text files in a minimum amount of memory
#
import argparse
import os





class _snake_case :
							"""simple docstring"""





							__a				       =  '''block_{0}.dat'''







							def __init__( self      ,					__A						)  ->int:



											"""simple docstring"""







											__lowerCamelCase		:   Dict           =       filename
											__lowerCamelCase		:   Union[str, Any]           =       []







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A      ,					__A						)  ->int:



											"""simple docstring"""







											__lowerCamelCase		:   Optional[int]           =       self.BLOCK_FILENAME_FORMAT.format(__A						)
											with open(__A      ,					"w"						) as file:
															file.write(__A						)
											self.block_filenames.append(__A						)







							def 		__SCREAMING_SNAKE_CASE( self						)  ->int:



											"""simple docstring"""







											return self.block_filenames







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A      ,					__A=None						)  ->Dict:



											"""simple docstring"""







											__lowerCamelCase		:   Optional[int]           =       0
											with open(self.filename						) as file:
															while True:
																			__lowerCamelCase		:   Union[str, Any]           =       file.readlines(__A						)

																			if lines == []:
																							break

																			if sort_key is None:
																							lines.sort()
																			else:
																							lines.sort(key=__A						)

																			self.write_block("".join(__A						)      ,					__A						)
																			i += 1







							def 		__SCREAMING_SNAKE_CASE( self						)  ->List[Any]:



											"""simple docstring"""







											map(os.remove      ,					self.block_filenames						)





class _snake_case :
							"""simple docstring"""





							def 		__SCREAMING_SNAKE_CASE( self      ,					__A						)  ->Optional[int]:



											"""simple docstring"""







											__lowerCamelCase		:   Union[str, Any]           =       -1
											__lowerCamelCase		:   Optional[Any]           =       None

											for i in range(len(__A						)						):
															if min_str is None or choices[i] < min_str:
																			__lowerCamelCase		:   Tuple           =       i

											return min_index





class _snake_case :
							"""simple docstring"""





							def __init__( self      ,					__A						)  ->List[Any]:



											"""simple docstring"""







											__lowerCamelCase		:   Tuple           =       files
											__lowerCamelCase		:   Tuple           =       set()
											__lowerCamelCase		:   Optional[Any]           =       len(__A						)
											__lowerCamelCase		:   List[str]           =       {i: None for i in range(self.num_buffers						)}







							def 		__SCREAMING_SNAKE_CASE( self						)  ->Any:



											"""simple docstring"""







											return {
											    i: self.buffers[i] for i in range(self.num_buffers						) if i not in self.empty
											}







							def 		__SCREAMING_SNAKE_CASE( self						)  ->Dict:



											"""simple docstring"""







											for i in range(self.num_buffers						):
															if self.buffers[i] is None and i not in self.empty:
																			__lowerCamelCase		:   Tuple           =       self.files[i].readline()

																			if self.buffers[i] == "":
																							self.empty.add(__A						)
																							self.files[i].close()

											if len(self.empty						) == self.num_buffers:
															return False

											return True







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A						)  ->Any:



											"""simple docstring"""







											__lowerCamelCase		:   Tuple           =       self.buffers[index]
											__lowerCamelCase		:   List[Any]           =       None

											return value





class _snake_case :
							"""simple docstring"""





							def __init__( self      ,					__A						)  ->List[str]:



											"""simple docstring"""







											__lowerCamelCase		:   List[Any]           =       merge_strategy







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A      ,					__A      ,					__A						)  ->Optional[int]:



											"""simple docstring"""







											__lowerCamelCase		:   List[str]           =       FilesArray(self.get_file_handles(__A      ,					__A						)						)
											with open(__A      ,					"w"      ,					__A						) as outfile:
															while buffers.refresh():
																			__lowerCamelCase		:   Optional[Any]           =       self.merge_strategy.select(buffers.get_dict()						)
																			outfile.write(buffers.unshift(__A						)						)







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A      ,					__A						)  ->str:



											"""simple docstring"""







											__lowerCamelCase		:   Union[str, Any]           =       {}

											for i in range(len(__A						)						):
															__lowerCamelCase		:   Tuple           =       open(filenames[i]      ,					"r"      ,					__A						)  # noqa: UP015

											return files





class _snake_case :
							"""simple docstring"""





							def __init__( self      ,					__A						)  ->str:



											"""simple docstring"""







											__lowerCamelCase		:   Tuple           =       block_size







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A      ,					__A=None						)  ->List[str]:



											"""simple docstring"""







											__lowerCamelCase		:   Optional[int]           =       self.get_number_blocks(__A      ,					self.block_size						)
											__lowerCamelCase		:   Optional[int]           =       FileSplitter(__A						)
											splitter.split(self.block_size      ,					__A						)

											__lowerCamelCase		:   List[str]           =       FileMerger(NWayMerge()						)
											__lowerCamelCase		:   str           =       self.block_size / (num_blocks + 1)
											merger.merge(splitter.get_block_filenames()      ,					filename + ".out"      ,					__A						)

											splitter.cleanup()







							def 		__SCREAMING_SNAKE_CASE( self      ,					__A      ,					__A						)  ->List[str]:



											"""simple docstring"""







											return (os.stat(__A						).st_size / block_size) + 1





def 				a_							(    lowercase     )      ->List[Any]:






				'''simple docstring'''

				if string[-1].lower() == "k":
								return int(string[:-1]     ) * 1024
				elif string[-1].lower() == "m":
								return int(string[:-1]     ) * 1024 * 1024
				elif string[-1].lower() == "g":
								return int(string[:-1]     ) * 1024 * 1024 * 1024
				else:
								return int(lowercase     )





def 				a_							(    )      ->Optional[Any]:






				'''simple docstring'''

				__lowerCamelCase		:   List[str]           =       argparse.ArgumentParser()
				parser.add_argument(
				    "-m"				,    "--mem"				,    help="amount of memory to use for sorting"				,    default="100M"     )
				parser.add_argument(
				    "filename"				,    metavar="<filename>"				,    nargs=1				,    help="name of file to sort"     )
				__lowerCamelCase		:   List[str]           =       parser.parse_args()

				__lowerCamelCase		:   Tuple           =       ExternalSort(parse_memory(args.mem     )     )
				sorter.sort(args.filename[0]     )


if __name__ == "__main__":
				main()





