import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


A__           =							logging.get_logger(__name__)

A__           =							"""▁"""

A__           =							{
    """vocab_file""": """vocab.json""",
    """spm_file""": """sentencepiece.bpe.model""",
}

A__           =							{
    """vocab_file""": {
        """facebook/s2t-small-librispeech-asr""": (
            """https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json"""
        ),
    },
    """spm_file""": {
        """facebook/s2t-small-librispeech-asr""": (
            """https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model"""
        )
    },
}

A__           =							{
    """facebook/s2t-small-librispeech-asr""": 1_024,
}

A__           =							["""pt""", """fr""", """ru""", """nl""", """ro""", """it""", """es""", """de"""]

A__           =							{"""mustc""": MUSTC_LANGS}
class   _lowerCAmelCase		(     __SCREAMING_SNAKE_CASE				):
							_UpperCAmelCase						    =     VOCAB_FILES_NAMES
							_UpperCAmelCase						    =     PRETRAINED_VOCAB_FILES_MAP
							_UpperCAmelCase						    =     MAX_MODEL_INPUT_SIZES
							_UpperCAmelCase						    =     ['input_ids', 'attention_mask']

							_UpperCAmelCase						    =     []







							def __init__(				self     :    Tuple	,					__snake_case     :    Optional[Any]	,					__snake_case     :    str	,					__snake_case     :    Tuple="<s>"	,					__snake_case     :    Dict="</s>"	,					__snake_case     :    List[str]="<pad>"	,					__snake_case     :    Optional[Any]="<unk>"	,					__snake_case     :    Optional[Any]=False	,					__snake_case     :    Tuple=False	,					__snake_case     :    int=None	,					__snake_case     :    List[str]=None	,					__snake_case     :    Optional[Dict[str, Any]] = None	,					**__snake_case     :    str	,					):
										lowerCamelCase						:Optional[int]						  =     {} if sp_model_kwargs is None else sp_model_kwargs

										super().__init__(
										    bos_token=__snake_case	,					eos_token=__snake_case	,					unk_token=__snake_case	,					pad_token=__snake_case	,					do_upper_case=__snake_case	,					do_lower_case=__snake_case	,					tgt_lang=__snake_case	,					lang_codes=__snake_case	,					sp_model_kwargs=self.sp_model_kwargs	,					**__snake_case	,					)
										lowerCamelCase						:Optional[int]						  =     do_upper_case
										lowerCamelCase						:int						  =     do_lower_case

										lowerCamelCase						:Dict						  =     load_json(__snake_case		)
										lowerCamelCase						:Tuple						  =     {v: k for k, v in self.encoder.items()}
										lowerCamelCase						:List[Any]						  =     spm_file
										lowerCamelCase						:Union[str, Any]						  =     load_spm(__snake_case	,					self.sp_model_kwargs		)

										if lang_codes is not None:
													lowerCamelCase						:List[str]						  =     lang_codes
													lowerCamelCase						:int						  =     LANGUAGES[lang_codes]
													lowerCamelCase						:Tuple						  =     [F"<lang:{lang}>" for lang in self.langs]
													lowerCamelCase						:Optional[int]						  =     {lang: self.sp_model.PieceToId(F"<lang:{lang}>"		) for lang in self.langs}

													lowerCamelCase						:str						  =     self.lang_tokens
													lowerCamelCase						:List[Any]						  =     tgt_lang if tgt_lang is not None else self.langs[0]

													self.set_tgt_lang_special_tokens(self._tgt_lang		)
										else:
													lowerCamelCase						:int						  =     {}







							@property
							def 				snake_case  (				self     :    Optional[Any]		):
										return len(self.encoder		)







							@property
							def 				snake_case  (				self     :    int		):
										return self._tgt_lang







							@tgt_lang.setter
							def 				snake_case  (				self     :    List[str]	,					__snake_case     :    Union[str, Any]		):
										lowerCamelCase						:Dict						  =     new_tgt_lang
										self.set_tgt_lang_special_tokens(__snake_case		)







							def 				snake_case  (				self     :    Tuple	,					__snake_case     :    str		):
										lowerCamelCase						:Any						  =     self.lang_code_to_id[tgt_lang]
										lowerCamelCase						:List[str]						  =     [lang_code_id]







							def 				snake_case  (				self     :    Any	,					__snake_case     :    str		):
										return self.sp_model.encode(__snake_case	,					out_type=__snake_case		)







							def 				snake_case  (				self     :    Tuple	,					__snake_case     :    int		):
										return self.encoder.get(__snake_case	,					self.encoder[self.unk_token]		)







							def 				snake_case  (				self     :    Dict	,					__snake_case     :    int		):
										return self.decoder.get(__snake_case	,					self.unk_token		)







							def 				snake_case  (				self     :    Optional[int]	,					__snake_case     :    List[str]		):
										lowerCamelCase						:Any						  =     []
										lowerCamelCase						:int						  =     ''''''
										for token in tokens:
													# make sure that special tokens are not decoded using sentencepiece model
													if token in self.all_special_tokens:
																lowerCamelCase						:int						  =     self.sp_model.decode(__snake_case		)
																out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
																lowerCamelCase						:Any						  =     []
													else:
																current_sub_tokens.append(__snake_case		)
										lowerCamelCase						:int						  =     self.sp_model.decode(__snake_case		)
										out_string += decoded.upper() if self.do_upper_case else decoded
										return out_string.strip()







							def 				snake_case  (				self     :    int	,					__snake_case     :    Tuple	,					__snake_case     :    Any=None		):
										if token_ids_a is None:
													return self.prefix_tokens + token_ids_a + [self.eos_token_id]
										# We don't expect to process pairs, but leave the pair logic for API consistency
										return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]







							def 				snake_case  (				self     :    Any	,					__snake_case     :    List[int]	,					__snake_case     :    Optional[List[int]] = None	,					__snake_case     :    bool = False		):

										if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=__snake_case	,					token_ids_a=__snake_case	,					already_has_special_tokens=__snake_case		)

										lowerCamelCase						:List[str]						  =     [1] * len(self.prefix_tokens		)
										lowerCamelCase						:Union[str, Any]						  =     [1]
										if token_ids_a is None:
													return prefix_ones + ([0] * len(__snake_case		)) + suffix_ones
										return prefix_ones + ([0] * len(__snake_case		)) + ([0] * len(__snake_case		)) + suffix_ones







							def 				snake_case  (				self     :    Tuple		):
										lowerCamelCase						:List[str]						  =     self.encoder.copy()
										vocab.update(self.added_tokens_encoder		)
										return vocab







							def __getstate__(				self     :    str		):
										lowerCamelCase						:Any						  =     self.__dict__.copy()
										lowerCamelCase						:str						  =     None
										return state







							def __setstate__(				self     :    Any	,					__snake_case     :    Dict		):
										lowerCamelCase						:int						  =     d

										# for backward compatibility
										if not hasattr(self	,					'''sp_model_kwargs'''		):
													lowerCamelCase						:List[str]						  =     {}

										lowerCamelCase						:Tuple						  =     load_spm(self.spm_file	,					self.sp_model_kwargs		)







							def 				snake_case  (				self     :    Optional[Any]	,					__snake_case     :    str	,					__snake_case     :    Optional[str] = None		):
										lowerCamelCase						:int						  =     Path(__snake_case		)
										assert save_dir.is_dir(), F"{save_directory} should be a directory"
										lowerCamelCase						:List[Any]						  =     save_dir / (
										    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
										)
										lowerCamelCase						:Optional[Any]						  =     save_dir / (
										    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
										)

										save_json(self.encoder	,					__snake_case		)

										if os.path.abspath(self.spm_file		) != os.path.abspath(__snake_case		) and os.path.isfile(self.spm_file		):
													copyfile(self.spm_file	,					__snake_case		)
										elif not os.path.isfile(self.spm_file		):
													with open(__snake_case	,					'''wb'''		) as fi:
																lowerCamelCase						:List[str]						  =     self.sp_model.serialized_model_proto()
																fi.write(__snake_case		)

										return (str(__snake_case		), str(__snake_case		))





def  _lowerCamelCase					(   a_				: str						,			a_				: Dict[str, Any]):
			lowerCamelCase						:Tuple						  =     sentencepiece.SentencePieceProcessor(**a_)
			spm.Load(str(a_))
			return spm





def  _lowerCamelCase					(   a_				: str):
			with open(a_						,			'''r''') as f:
						return json.load(a_)





def  _lowerCamelCase					(   a_				: List[str]						,			a_				: str):
			with open(a_						,			'''w''') as f:
						json.dump(a_						,			a_						,			indent=2)




import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment
@require_huggingface_suite
class   _lowerCAmelCase		(     unittest.TestCase				):







							def 				snake_case  (				self     :    Tuple		):
										lowerCamelCase						:List[Any]						  =     inspect.getfile(accelerate.test_utils		)
										lowerCamelCase						:Dict						  =     os.path.sep.join(
										    mod_file.split(os.path.sep		)[:-1] + ['''scripts''', '''external_deps''', '''test_metrics.py''']		)

										from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

										lowerCamelCase						:Any						  =     test_metrics







							@require_cpu
							def 				snake_case  (				self     :    Dict		):
										debug_launcher(self.test_metrics.main	,					num_processes=1		)







							@require_cpu
							def 				snake_case  (				self     :    int		):
										debug_launcher(self.test_metrics.main		)







							@require_single_gpu
							def 				snake_case  (				self     :    Any		):
										self.test_metrics.main()







							@require_multi_gpu
							def 				snake_case  (				self     :    Optional[int]		):
										print(F"Found {torch.cuda.device_count()} devices."		)
										lowerCamelCase						:Optional[int]						  =     ['''torchrun''', F"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
										with patch_environment(omp_num_threads=1		):
													execute_subprocess_async(__snake_case	,					env=os.environ.copy()		)



