


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


SCREAMING_SNAKE_CASE		:Optional[int]     						=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE		:Dict     						=   '▁'

SCREAMING_SNAKE_CASE		:Union[str, Any]     						=   {
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
}

SCREAMING_SNAKE_CASE		:Optional[int]     						=   {
    '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'
        )
    },
}

SCREAMING_SNAKE_CASE		:Optional[Any]     						=   {
    'facebook/s2t-small-librispeech-asr': 10_24,
}

SCREAMING_SNAKE_CASE		:Optional[Any]     						=   ['pt', 'fr', 'ru', 'nl', 'ro', 'it', 'es', 'de']

SCREAMING_SNAKE_CASE		:Union[str, Any]     						=   {'mustc': MUSTC_LANGS}


class 			__lowerCAmelCase   (       __SCREAMING_SNAKE_CASE    ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE									=				VOCAB_FILES_NAMES
  _SCREAMING_SNAKE_CASE									=				PRETRAINED_VOCAB_FILES_MAP
  _SCREAMING_SNAKE_CASE									=				MAX_MODEL_INPUT_SIZES
  _SCREAMING_SNAKE_CASE									=				['input_ids', 'attention_mask']

  _SCREAMING_SNAKE_CASE									=				[]



  def __init__(   self				:				Optional[Any]			, _lowerCAmelCase				:				List[str]			, _lowerCAmelCase				:				str			, _lowerCAmelCase				:				Tuple="<s>"			, _lowerCAmelCase				:				Dict="</s>"			, _lowerCAmelCase				:				List[str]="<pad>"			, _lowerCAmelCase				:				Tuple="<unk>"			, _lowerCAmelCase				:				Dict=False			, _lowerCAmelCase				:				Tuple=False			, _lowerCAmelCase				:				str=None			, _lowerCAmelCase				:				List[str]=None			, _lowerCAmelCase				:				Optional[Dict[str, Any]] = None			, **_lowerCAmelCase				:				str			, )      ->       List[Any]:




     """simple docstring"""
     snake_case_    			=    {} if sp_model_kwargs is None else sp_model_kwargs

     super().__init__(
         bos_token=_lowerCAmelCase			, eos_token=_lowerCAmelCase			, unk_token=_lowerCAmelCase			, pad_token=_lowerCAmelCase			, do_upper_case=_lowerCAmelCase			, do_lower_case=_lowerCAmelCase			, tgt_lang=_lowerCAmelCase			, lang_codes=_lowerCAmelCase			, sp_model_kwargs=self.sp_model_kwargs			, **_lowerCAmelCase			, )
     snake_case_    			=    do_upper_case
     snake_case_    			=    do_lower_case

     snake_case_    			=    load_json(_lowerCAmelCase     )
     snake_case_    			=    {v: k for k, v in self.encoder.items()}
     snake_case_    			=    spm_file
     snake_case_    			=    load_spm(_lowerCAmelCase			, self.sp_model_kwargs     )

     if lang_codes is not None:
        snake_case_    			=    lang_codes
        snake_case_    			=    LANGUAGES[lang_codes]
        snake_case_    			=    [F'''<lang:{lang}>''' for lang in self.langs]
        snake_case_    			=    {lang: self.sp_model.PieceToId(F'''<lang:{lang}>'''     ) for lang in self.langs}

        snake_case_    			=    self.lang_tokens
        snake_case_    			=    tgt_lang if tgt_lang is not None else self.langs[0]

        self.set_tgt_lang_special_tokens(self._tgt_lang     )
     else:
        snake_case_    			=    {}



  @property
  def     lowerCAmelCase__     (   self				:				Union[str, Any]     )      ->       Optional[Any]:




     """simple docstring"""
     return len(self.encoder     )



  @property
  def     lowerCAmelCase__     (   self				:				Union[str, Any]     )      ->       Any:




     """simple docstring"""
     return self._tgt_lang



  @tgt_lang.setter
  def     lowerCAmelCase__     (   self				:				Union[str, Any]			, _lowerCAmelCase				:				Union[str, Any]     )      ->       Optional[int]:




     """simple docstring"""
     snake_case_    			=    new_tgt_lang
     self.set_tgt_lang_special_tokens(_lowerCAmelCase     )



  def     lowerCAmelCase__     (   self				:				Optional[int]			, _lowerCAmelCase				:				str     )      ->       Optional[int]:




     """simple docstring"""
     snake_case_    			=    self.lang_code_to_id[tgt_lang]
     snake_case_    			=    [lang_code_id]



  def     lowerCAmelCase__     (   self				:				str			, _lowerCAmelCase				:				str     )      ->       Tuple:




     """simple docstring"""
     return self.sp_model.encode(_lowerCAmelCase			, out_type=_lowerCAmelCase     )



  def     lowerCAmelCase__     (   self				:				Optional[int]			, _lowerCAmelCase				:				Optional[int]     )      ->       Tuple:




     """simple docstring"""
     return self.encoder.get(_lowerCAmelCase			, self.encoder[self.unk_token]     )



  def     lowerCAmelCase__     (   self				:				str			, _lowerCAmelCase				:				int     )      ->       List[Any]:




     """simple docstring"""
     return self.decoder.get(_lowerCAmelCase			, self.unk_token     )



  def     lowerCAmelCase__     (   self				:				Union[str, Any]			, _lowerCAmelCase				:				List[str]     )      ->       Any:




     """simple docstring"""
     snake_case_    			=    []
     snake_case_    			=    ""
     for token in tokens:
        # make sure that special tokens are not decoded using sentencepiece model
        if token in self.all_special_tokens:
           snake_case_    			=    self.sp_model.decode(_lowerCAmelCase     )
           out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
           snake_case_    			=    []
        else:
           current_sub_tokens.append(_lowerCAmelCase     )
     snake_case_    			=    self.sp_model.decode(_lowerCAmelCase     )
     out_string += decoded.upper() if self.do_upper_case else decoded
     return out_string.strip()



  def     lowerCAmelCase__     (   self				:				List[str]			, _lowerCAmelCase				:				List[str]			, _lowerCAmelCase				:				Tuple=None     )      ->       Optional[int]:




     """simple docstring"""
     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     lowerCAmelCase__     (   self				:				Tuple			, _lowerCAmelCase				:				List[int]			, _lowerCAmelCase				:				Optional[List[int]] = None			, _lowerCAmelCase				:				bool = False     )      ->       int:




     """simple docstring"""

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

     snake_case_    			=    [1] * len(self.prefix_tokens     )
     snake_case_    			=    [1]
     if token_ids_a is None:
        return prefix_ones + ([0] * len(_lowerCAmelCase     )) + suffix_ones
     return prefix_ones + ([0] * len(_lowerCAmelCase     )) + ([0] * len(_lowerCAmelCase     )) + suffix_ones



  def     lowerCAmelCase__     (   self				:				Optional[int]     )      ->       int:




     """simple docstring"""
     snake_case_    			=    self.encoder.copy()
     vocab.update(self.added_tokens_encoder     )
     return vocab



  def __getstate__(   self				:				Tuple     )      ->       Tuple:




     """simple docstring"""
     snake_case_    			=    self.__dict__.copy()
     snake_case_    			=    None
     return state



  def __setstate__(   self				:				Union[str, Any]			, _lowerCAmelCase				:				Dict     )      ->       Optional[int]:




     """simple docstring"""
     snake_case_    			=    d

     # for backward compatibility
     if not hasattr(self			, "sp_model_kwargs"     ):
        snake_case_    			=    {}

     snake_case_    			=    load_spm(self.spm_file			, self.sp_model_kwargs     )



  def     lowerCAmelCase__     (   self				:				Any			, _lowerCAmelCase				:				str			, _lowerCAmelCase				:				Optional[str] = None     )      ->       int:




     """simple docstring"""
     snake_case_    			=    Path(_lowerCAmelCase     )
     assert save_dir.is_dir(), F'''{save_directory} should be a directory'''
     snake_case_    			=    save_dir / (
         (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
     )
     snake_case_    			=    save_dir / (
         (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
     )

     save_json(self.encoder			, _lowerCAmelCase     )

     if os.path.abspath(self.spm_file     ) != os.path.abspath(_lowerCAmelCase     ) and os.path.isfile(self.spm_file     ):
        copyfile(self.spm_file			, _lowerCAmelCase     )
     elif not os.path.isfile(self.spm_file     ):
        with open(_lowerCAmelCase			, "wb"     ) as fi:
           snake_case_    			=    self.sp_model.serialized_model_proto()
           fi.write(_lowerCAmelCase     )

     return (str(_lowerCAmelCase     ), str(_lowerCAmelCase     ))






def 	_lowerCAmelCase  (							lowerCAmelCase_							:str						,  lowerCAmelCase_							:Optional[Any]							)->sentencepiece.SentencePieceProcessor:
   '''simple docstring'''






   snake_case_    			=    sentencepiece.SentencePieceProcessor(**a_							)
   spm.Load(str(a_							)							)
   return spm



def 	_lowerCAmelCase  (							lowerCAmelCase_							:Any							)->Union[Dict, List]:
   '''simple docstring'''






   with open(a_						,  "r"							) as f:
      return json.load(a_							)



def 	_lowerCAmelCase  (							lowerCAmelCase_							:Optional[int]						,  lowerCAmelCase_							:Dict							)->None:
   '''simple docstring'''






   with open(a_						,  "w"							) as f:
      json.dump(a_						,  a_						,  indent=2							)






# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


SCREAMING_SNAKE_CASE							:Union[str, Any]							 =				get_logger(__name__)





class 							UpperCAmelCase      :




	'''simple docstring'''





	snake_case_					    =     "dummy_data"
	snake_case_					    =     "datasets"
	snake_case_					    =     False






	def __init__(       self					: Optional[int]							,A					: str							,A					: str							,A					: Union[Version, str]							,A					: Optional[str] = None							,A					: bool = False							,A					: bool = True							,A					: Optional[List[Callable]] = None							,):
					__A   			= 0
					__A   			= dataset_name
					__A   			= cache_dir
					__A   			= use_local_dummy_data
					__A   			= config
					# download_callbacks take a single url as input
					__A   			= download_callbacks or []
					# if False, it doesn't load existing files and it returns the paths of the dummy files relative
					# to the dummy_data zip file root
					__A   			= load_existing_dummy_data

					# TODO(PVP, QL) might need to make this more general
					__A   			= str(A )
					# to be downloaded
					__A   			= None
					__A   			= None






	@property
	def 				UpperCamelCase_  (       self					: Union[str, Any] ):
					if self._dummy_file is None:
									__A   			= self.download_dummy_data()
					return self._dummy_file






	@property
	def 				UpperCamelCase_  (       self					: Optional[Any] ):
					if self.config is not None:
									# structure is dummy / config_name / version_name
									return os.path.join("dummy"							,self.config.name							,self.version_name )
					# structure is dummy / version_name
					return os.path.join("dummy"							,self.version_name )






	@property
	def 				UpperCamelCase_  (       self					: List[Any] ):
					return os.path.join(self.dummy_data_folder							,"dummy_data.zip" )






	def 				UpperCamelCase_  (       self					: Tuple ):
					__A   			= (
					    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
					)

					__A   			= cached_path(
					    A							,cache_dir=self.cache_dir							,extract_compressed_file=A							,force_extract=A )

					return os.path.join(A							,self.dummy_file_name )






	@property
	def 				UpperCamelCase_  (       self					: str ):
					return os.path.join(self.datasets_scripts_dir							,self.dataset_name							,self.dummy_zip_file )






	@property
	def 				UpperCamelCase_  (       self					: Any ):
					if self._bucket_url is None:
									__A   			= hf_github_url(self.dataset_name							,self.dummy_zip_file.replace(os.sep							,"/" ) )
					return self._bucket_url






	@property
	def 				UpperCamelCase_  (       self					: Tuple ):
					# return full path if its a dir
					if os.path.isdir(self.dummy_file ):
									return self.dummy_file
					# else cut off path to file -> example `xsum`.
					return "/".join(self.dummy_file.replace(os.sep							,"/" ).split("/" )[:-1] )






	def 				UpperCamelCase_  (       self					: List[str]							,A					: List[Any]							,*A					: Dict ):
					if self.load_existing_dummy_data:
									# dummy data is downloaded and tested
									__A   			= self.dummy_file
					else:
									# dummy data cannot be downloaded and only the path to dummy file is returned
									__A   			= self.dummy_file_name

					# special case when data_url is a dict
					if isinstance(A							,A ):
									return self.create_dummy_data_dict(A							,A )
					elif isinstance(A							,(list, tuple) ):
									return self.create_dummy_data_list(A							,A )
					else:
									return self.create_dummy_data_single(A							,A )






	def 				UpperCamelCase_  (       self					: str							,A					: List[Any]							,*A					: List[Any] ):
					return self.download_and_extract(A )






	def 				UpperCamelCase_  (       self					: List[str]							,A					: List[str]							,A					: Tuple ):
					return self.download_and_extract(A )






	def 				UpperCamelCase_  (       self					: Any							,A					: Any							,*A					: Optional[Any]							,**A					: List[str] ):
					return path






	def 				UpperCamelCase_  (       self					: str ):
					return {}






	def 				UpperCamelCase_  (       self					: int							,A					: int							,A					: Tuple ):
					__A   			= {}
					for key, single_urls in data_url.items():
									for download_callback in self.download_callbacks:
													if isinstance(A							,A ):
																	for single_url in single_urls:
																					download_callback(A )
													else:
																	__A   			= single_urls
																	download_callback(A )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
									if isinstance(A							,A ):
													__A   			= [os.path.join(A							,urllib.parse.quote_plus(Path(A ).name ) ) for x in single_urls]
									else:
													__A   			= single_urls
													__A   			= os.path.join(A							,urllib.parse.quote_plus(Path(A ).name ) )
									__A   			= value

					# make sure that values are unique
					if all(isinstance(A							,A ) for i in dummy_data_dict.values() ) and len(set(dummy_data_dict.values() ) ) < len(
					    dummy_data_dict.values() ):
									# append key to value to make its name unique
									__A   			= {key: value + key for key, value in dummy_data_dict.items()}

					return dummy_data_dict






	def 				UpperCamelCase_  (       self					: Union[str, Any]							,A					: str							,A					: str ):
					__A   			= []
					# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
					__A   			= all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"							,A ) ) for url in data_url )
					__A   			= all(
					    url.startswith("https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed" ) for url in data_url )
					if data_url and (is_tf_records or is_pubmed_records):
									__A   			= [data_url[0]] * len(A )
					for single_url in data_url:
									for download_callback in self.download_callbacks:
													download_callback(A )
									# we force the name of each key to be the last file / folder name of the url path
									# if the url has arguments, we need to encode them with urllib.parse.quote_plus
									__A   			= os.path.join(A							,urllib.parse.quote_plus(single_url.split("/" )[-1] ) )
									dummy_data_list.append(A )
					return dummy_data_list






	def 				UpperCamelCase_  (       self					: str							,A					: List[Any]							,A					: Optional[Any] ):
					for download_callback in self.download_callbacks:
									download_callback(A )
					# we force the name of each key to be the last file / folder name of the url path
					# if the url has arguments, we need to encode them with urllib.parse.quote_plus
					__A   			= os.path.join(A							,urllib.parse.quote_plus(data_url.split("/" )[-1] ) )
					if os.path.exists(A ) or not self.load_existing_dummy_data:
									return value
					else:
									# Backward compatibility, maybe deprecate at one point.
									# For many datasets with single url calls to dl_manager.download_and_extract,
									# the dummy_data.zip file is actually the zipped downloaded file
									# while now we expected the dummy_data.zip file to be a directory containing
									# the downloaded file.
									return path_to_dummy_data






	def 				UpperCamelCase_  (       self					: int ):
					pass






	def 				UpperCamelCase_  (       self					: Dict ):
					pass






	def 				UpperCamelCase_  (       self					: Optional[Any]							,A					: List[Any] ):
					def _iter_archive_members(A					: Optional[Any] ):
									# this preserves the order of the members inside the ZIP archive
									__A   			= Path(self.dummy_file ).parent
									__A   			= path.relative_to(A )
									with ZipFile(self.local_path_to_dummy_data ) as zip_file:
													__A   			= zip_file.namelist()
									for member in members:
													if member.startswith(relative_path.as_posix() ):
																	yield dummy_parent_path.joinpath(A )

					__A   			= Path(A )
					__A   			= _iter_archive_members(A ) if self.use_local_dummy_data else path.rglob("*" )
					for file_path in file_paths:
									if file_path.is_file() and not file_path.name.startswith((".", "__") ):
													yield file_path.relative_to(A ).as_posix(), file_path.open("rb" )







	def 				UpperCamelCase_  (       self					: List[Any]							,A					: Any ):
					if not isinstance(A							,A ):
									__A   			= [paths]
					for path in paths:
									if os.path.isfile(A ):
													if os.path.basename(A ).startswith((".", "__") ):
																	return
													yield path
									else:
													for dirpath, dirnames, filenames in os.walk(A ):
																	if os.path.basename(A ).startswith((".", "__") ):
																					continue
																	dirnames.sort()
																	for filename in sorted(A ):
																					if filename.startswith((".", "__") ):
																									continue
																					yield os.path.join(A							,A )
