



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


'''simple docstring'''


import io
import json
import subprocess


snake_case__	:     Any      =    [
    ['''en''', '''ru'''],
    ['''ru''', '''en'''],
    ['''en''', '''de'''],
    ['''de''', '''en'''],
]

snake_case__	:     Tuple      =    8


def    _lowerCamelCase       ( lowerCamelCase_   :				Tuple      ,	lowerCamelCase_   :				Union[str, Any]  ):



     """simple docstring"""





     UpperCAmelCase_				:  List[Any]  = {}
     for src, tgt in pairs:
          UpperCAmelCase_				:  str  = F'''{src}-{tgt}'''
          UpperCAmelCase_				:  List[str]  = F'''sacrebleu -t wmt19 -l {pair} --echo src'''.split()
          UpperCAmelCase_				:  Any  = subprocess.run(lowerCamelCase_      ,	stdout=subprocess.PIPE  ).stdout.decode('utf-8'  ).splitlines()
          UpperCAmelCase_				:  Any  = F'''sacrebleu -t wmt19 -l {pair} --echo ref'''.split()
          UpperCAmelCase_				:  List[str]  = subprocess.run(lowerCamelCase_      ,	stdout=subprocess.PIPE  ).stdout.decode('utf-8'  ).splitlines()
          UpperCAmelCase_				:  str  = {'src': src_lines[:n_objs], 'tgt': tgt_lines[:n_objs]}
     return text


snake_case__	:     Union[str, Any]      =    get_all_data(pairs, n_objs)
snake_case__	:     Dict      =    '''./fsmt_val_data.json'''
with io.open(filename, '''w''', encoding='''utf-8''') as f:
 snake_case__	:     List[str]      =    json.dump(text, f, indent=2, ensure_ascii=False)






