
'''simple docstring'''







# 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


_lowercase :  int    							=       get_logger(__name__)






class  lowerCAmelCase__   :
					lowerCAmelCase_        =     '''dummy_data'''
					lowerCAmelCase_        =     '''datasets'''
					lowerCAmelCase_        =     False






					def __init__(   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE = None				,							__SCREAMING_SNAKE_CASE = False				,							__SCREAMING_SNAKE_CASE = True				,							__SCREAMING_SNAKE_CASE = None				,							):


											"""simple docstring"""





											lowercase_	:     Any													=       0
											lowercase_	:     List[Any]													=       dataset_name
											lowercase_	:     int													=       cache_dir
											lowercase_	:     str													=       use_local_dummy_data
											lowercase_	:     int													=       config
											# download_callbacks take a single url as input
											lowercase_	:     List[Callable]													=       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
											lowercase_	:     Optional[int]													=       load_existing_dummy_data

											# TODO(PVP, QL) might need to make this more general
											lowercase_	:     Optional[Any]													=       str(__SCREAMING_SNAKE_CASE		)
											# to be downloaded
											lowercase_	:     Union[str, Any]													=       None
											lowercase_	:     int													=       None






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





											if self._dummy_file is None:
																	lowercase_	:     Optional[Any]													=       self.download_dummy_data()
											return self._dummy_file






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





											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 	_snake_case    (   self		):


											"""simple docstring"""





											return os.path.join(self.dummy_data_folder				,							'''dummy_data.zip'''		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     Any													=       (
											    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
											)

											lowercase_	:     int													=       cached_path(
											    __SCREAMING_SNAKE_CASE				,							cache_dir=self.cache_dir				,							extract_compressed_file=__SCREAMING_SNAKE_CASE				,							force_extract=__SCREAMING_SNAKE_CASE		)

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






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





											return os.path.join(self.datasets_scripts_dir				,							self.dataset_name				,							self.dummy_zip_file		)






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





											if self._bucket_url is None:
																	lowercase_	:     Optional[int]													=       hf_github_url(self.dataset_name				,							self.dummy_zip_file.replace(os.sep				,							'''/'''		)		)
											return self._bucket_url






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





											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 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							*__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if self.load_existing_dummy_data:
																	# dummy data is downloaded and tested
																	lowercase_	:     Optional[int]													=       self.dummy_file
											else:
																	# dummy data cannot be downloaded and only the path to dummy file is returned
																	lowercase_	:     int													=       self.dummy_file_name

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






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							*__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											return self.download_and_extract(__SCREAMING_SNAKE_CASE		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											return self.download_and_extract(__SCREAMING_SNAKE_CASE		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							*__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											return path






					def 	_snake_case    (   self		):


											"""simple docstring"""





											return {}






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     List[str]													=       {}
											for key, single_urls in data_url.items():
																	for download_callback in self.download_callbacks:
																							if isinstance(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):
																													for single_url in single_urls:
																																			download_callback(__SCREAMING_SNAKE_CASE		)
																							else:
																													lowercase_	:     Any													=       single_urls
																													download_callback(__SCREAMING_SNAKE_CASE		)
            # 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(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):
																							lowercase_	:     Optional[Any]													=       [os.path.join(__SCREAMING_SNAKE_CASE				,							urllib.parse.quote_plus(Path(__SCREAMING_SNAKE_CASE		).name		)		) for x in single_urls]
																	else:
																							lowercase_	:     Any													=       single_urls
																							lowercase_	:     List[str]													=       os.path.join(__SCREAMING_SNAKE_CASE				,							urllib.parse.quote_plus(Path(__SCREAMING_SNAKE_CASE		).name		)		)
																	lowercase_	:     Optional[Any]													=       value

											# make sure that values are unique
											if all(isinstance(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		) 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
																	lowercase_	:     str													=       {key: value + key for key, value in dummy_data_dict.items()}

											return dummy_data_dict






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     List[Any]													=       []
											# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
											lowercase_	:     Dict													=       all(bool(re.findall('''[0-9]{3,}-of-[0-9]{3,}'''				,							__SCREAMING_SNAKE_CASE		)		) for url in data_url		)
											lowercase_	:     Union[str, Any]													=       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):
																	lowercase_	:     Any													=       [data_url[0]] * len(__SCREAMING_SNAKE_CASE		)
											for single_url in data_url:
																	for download_callback in self.download_callbacks:
																							download_callback(__SCREAMING_SNAKE_CASE		)
																	# 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
																	lowercase_	:     List[str]													=       os.path.join(__SCREAMING_SNAKE_CASE				,							urllib.parse.quote_plus(single_url.split('''/'''		)[-1]		)		)
																	dummy_data_list.append(__SCREAMING_SNAKE_CASE		)
											return dummy_data_list






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											for download_callback in self.download_callbacks:
																	download_callback(__SCREAMING_SNAKE_CASE		)
											# 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
											lowercase_	:     List[Any]													=       os.path.join(__SCREAMING_SNAKE_CASE				,							urllib.parse.quote_plus(data_url.split('''/'''		)[-1]		)		)
											if os.path.exists(__SCREAMING_SNAKE_CASE		) 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 	_snake_case    (   self		):


											"""simple docstring"""





											pass






					def 	_snake_case    (   self		):


											"""simple docstring"""





											pass






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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

											lowercase_	:     Any													=       Path(__SCREAMING_SNAKE_CASE		)
											lowercase_	:     int													=       _iter_archive_members(__SCREAMING_SNAKE_CASE		) 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(__SCREAMING_SNAKE_CASE		).as_posix(), file_path.open('''rb'''		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if not isinstance(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):
																	lowercase_	:     int													=       [paths]
											for path in paths:
																	if os.path.isfile(__SCREAMING_SNAKE_CASE		):
																							if os.path.basename(__SCREAMING_SNAKE_CASE		).startswith(('''.''', '''__''')		):
																													return
																							yield path
																	else:
																							for dirpath, dirnames, filenames in os.walk(__SCREAMING_SNAKE_CASE		):
																													if os.path.basename(__SCREAMING_SNAKE_CASE		).startswith(('''.''', '''__''')		):
																																			continue
																													dirnames.sort()
																													for filename in sorted(__SCREAMING_SNAKE_CASE		):
																																			if filename.startswith(('''.''', '''__''')		):
																																									continue
																																			yield os.path.join(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		)





'''simple docstring'''







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 BatchEncoding, PreTrainedTokenizer
from ...utils import logging


_lowercase :  List[Any]    							=       logging.get_logger(__name__)

_lowercase :  List[Any]    							=       "▁"

_lowercase :  Tuple    							=       {
    "vocab_file": "vocab.json",
    "spm_file": "sentencepiece.bpe.model",
    "tokenizer_config_file": "tokenizer_config.json",
}

_lowercase :  List[str]    							=       {
    "vocab_file": {
        "facebook/m2m100_418M": "https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json",
        "facebook/m2m100_1.2B": "https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json",
    },
    "spm_file": {
        "facebook/m2m100_418M": "https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model",
        "facebook/m2m100_1.2B": "https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_config_file": {
        "facebook/m2m100_418M": "https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json",
        "facebook/m2m100_1.2B": "https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json",
    },
}

_lowercase :  List[str]    							=       {
    "facebook/m2m100_418M": 1_0_2_4,
}

# fmt: off
_lowercase :  Tuple    							=       {
    "m2m100": ["af", "am", "ar", "ast", "az", "ba", "be", "bg", "bn", "br", "bs", "ca", "ceb", "cs", "cy", "da", "de", "el", "en", "es", "et", "fa", "ff", "fi", "fr", "fy", "ga", "gd", "gl", "gu", "ha", "he", "hi", "hr", "ht", "hu", "hy", "id", "ig", "ilo", "is", "it", "ja", "jv", "ka", "kk", "km", "kn", "ko", "lb", "lg", "ln", "lo", "lt", "lv", "mg", "mk", "ml", "mn", "mr", "ms", "my", "ne", "nl", "no", "ns", "oc", "or", "pa", "pl", "ps", "pt", "ro", "ru", "sd", "si", "sk", "sl", "so", "sq", "sr", "ss", "su", "sv", "sw", "ta", "th", "tl", "tn", "tr", "uk", "ur", "uz", "vi", "wo", "xh", "yi", "yo", "zh", "zu"],
    "wmt21": ["en", "ha", "is", "ja", "cs", "ru", "zh", "de"]
}






class  lowerCAmelCase__   (  lowerCamelCase_     ):
					lowerCAmelCase_        =     VOCAB_FILES_NAMES
					lowerCAmelCase_        =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_        =     PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_        =     ['''input_ids''', '''attention_mask''']

					lowerCAmelCase_        =     []
					lowerCAmelCase_        =     []






					def __init__(   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE=None				,							__SCREAMING_SNAKE_CASE=None				,							__SCREAMING_SNAKE_CASE="<s>"				,							__SCREAMING_SNAKE_CASE="</s>"				,							__SCREAMING_SNAKE_CASE="</s>"				,							__SCREAMING_SNAKE_CASE="<pad>"				,							__SCREAMING_SNAKE_CASE="<unk>"				,							__SCREAMING_SNAKE_CASE="m2m100"				,							__SCREAMING_SNAKE_CASE = None				,							__SCREAMING_SNAKE_CASE=8				,							**__SCREAMING_SNAKE_CASE				,							):


											"""simple docstring"""





											lowercase_	:     Optional[Any]													=       {} if sp_model_kwargs is None else sp_model_kwargs

											lowercase_	:     List[Any]													=       language_codes
											lowercase_	:     Optional[int]													=       FAIRSEQ_LANGUAGE_CODES[language_codes]
											lowercase_	:     List[Any]													=       {lang_code: F'''__{lang_code}__''' for lang_code in fairseq_language_code}

											lowercase_	:     Union[str, Any]													=       kwargs.get('''additional_special_tokens'''				,							[]		)
											kwargs["additional_special_tokens"] += [
											    self.get_lang_token(__SCREAMING_SNAKE_CASE		)
											    for lang_code in fairseq_language_code
											    if self.get_lang_token(__SCREAMING_SNAKE_CASE		) not in kwargs["additional_special_tokens"]
											]

											super().__init__(
											    src_lang=__SCREAMING_SNAKE_CASE				,							tgt_lang=__SCREAMING_SNAKE_CASE				,							bos_token=__SCREAMING_SNAKE_CASE				,							eos_token=__SCREAMING_SNAKE_CASE				,							sep_token=__SCREAMING_SNAKE_CASE				,							unk_token=__SCREAMING_SNAKE_CASE				,							pad_token=__SCREAMING_SNAKE_CASE				,							language_codes=__SCREAMING_SNAKE_CASE				,							sp_model_kwargs=self.sp_model_kwargs				,							num_madeup_words=__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE				,							)

											lowercase_	:     int													=       vocab_file
											lowercase_	:     Any													=       load_json(__SCREAMING_SNAKE_CASE		)
											lowercase_	:     str													=       {v: k for k, v in self.encoder.items()}
											lowercase_	:     Optional[int]													=       spm_file
											lowercase_	:     Any													=       load_spm(__SCREAMING_SNAKE_CASE				,							self.sp_model_kwargs		)

											lowercase_	:     List[Any]													=       len(self.encoder		)

											lowercase_	:     Dict													=       {
											    self.get_lang_token(__SCREAMING_SNAKE_CASE		): self.encoder_size + i for i, lang_code in enumerate(__SCREAMING_SNAKE_CASE		)
											}
											lowercase_	:     Optional[int]													=       {lang_code: self.encoder_size + i for i, lang_code in enumerate(__SCREAMING_SNAKE_CASE		)}
											lowercase_	:     Union[str, Any]													=       {v: k for k, v in self.lang_token_to_id.items()}

											lowercase_	:     Tuple													=       src_lang if src_lang is not None else '''en'''
											lowercase_	:     Optional[int]													=       tgt_lang
											lowercase_	:     Any													=       self.get_lang_id(self._src_lang		)
											self.set_src_lang_special_tokens(self._src_lang		)

											lowercase_	:     Dict													=       num_madeup_words






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





											return len(self.encoder		) + len(self.lang_token_to_id		)






					@property
					def 	_snake_case    (   self		):


											"""simple docstring"""





											return self._src_lang






					@src_lang.setter
					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     str													=       new_src_lang
											self.set_src_lang_special_tokens(self._src_lang		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											return self.sp_model.encode(__SCREAMING_SNAKE_CASE				,							out_type=__SCREAMING_SNAKE_CASE		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if token in self.lang_token_to_id:
																	return self.lang_token_to_id[token]
											return self.encoder.get(__SCREAMING_SNAKE_CASE				,							self.encoder[self.unk_token]		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if index in self.id_to_lang_token:
																	return self.id_to_lang_token[index]
											return self.decoder.get(__SCREAMING_SNAKE_CASE				,							self.unk_token		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Tuple													=       []
											lowercase_	:     List[str]													=       ''''''
											for token in tokens:
																	# make sure that special tokens are not decoded using sentencepiece model
																	if token in self.all_special_tokens:
																							out_string += self.sp_model.decode(__SCREAMING_SNAKE_CASE		) + token
																							lowercase_	:     Optional[Any]													=       []
																	else:
																							current_sub_tokens.append(__SCREAMING_SNAKE_CASE		)
											out_string += self.sp_model.decode(__SCREAMING_SNAKE_CASE		)
											return out_string.strip()






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE = None				,							__SCREAMING_SNAKE_CASE = False		):


											"""simple docstring"""





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

											lowercase_	:     Optional[int]													=       [1] * len(self.prefix_tokens		)
											lowercase_	:     Any													=       [1] * len(self.suffix_tokens		)
											if token_ids_a is None:
																	return prefix_ones + ([0] * len(__SCREAMING_SNAKE_CASE		)) + suffix_ones
											return prefix_ones + ([0] * len(__SCREAMING_SNAKE_CASE		)) + ([0] * len(__SCREAMING_SNAKE_CASE		)) + suffix_ones






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





											if token_ids_a is None:
																	return self.prefix_tokens + token_ids_a + self.suffix_tokens
											# 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.suffix_tokens






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     Tuple													=       {self.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE		): i for i in range(self.vocab_size		)}
											vocab.update(self.added_tokens_encoder		)
											return vocab






					def __getstate__(   self		):


											"""simple docstring"""





											lowercase_	:     List[Any]													=       self.__dict__.copy()
											lowercase_	:     List[Any]													=       None
											return state






					def __setstate__(   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Dict													=       d

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

											lowercase_	:     Union[str, Any]													=       load_spm(self.spm_file				,							self.sp_model_kwargs		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





											lowercase_	:     Tuple													=       Path(__SCREAMING_SNAKE_CASE		)
											if not save_dir.is_dir():
																	raise OSError(F'''{save_directory} should be a directory'''		)
											lowercase_	:     Dict													=       save_dir / (
											    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
											)
											lowercase_	:     Dict													=       save_dir / (
											    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
											)

											save_json(self.encoder				,							__SCREAMING_SNAKE_CASE		)

											if os.path.abspath(self.spm_file		) != os.path.abspath(__SCREAMING_SNAKE_CASE		) and os.path.isfile(self.spm_file		):
																	copyfile(self.spm_file				,							__SCREAMING_SNAKE_CASE		)
											elif not os.path.isfile(self.spm_file		):
																	with open(__SCREAMING_SNAKE_CASE				,							'''wb'''		) as fi:
																							lowercase_	:     int													=       self.sp_model.serialized_model_proto()
																							fi.write(__SCREAMING_SNAKE_CASE		)

											return (str(__SCREAMING_SNAKE_CASE		), str(__SCREAMING_SNAKE_CASE		))






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE = "en"				,							__SCREAMING_SNAKE_CASE = None				,							__SCREAMING_SNAKE_CASE = "ro"				,							**__SCREAMING_SNAKE_CASE				,							):


											"""simple docstring"""





											lowercase_	:     Optional[Any]													=       src_lang
											lowercase_	:     List[str]													=       tgt_lang
											self.set_src_lang_special_tokens(self.src_lang		)
											return super().prepare_seqaseq_batch(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if src_lang is None or tgt_lang is None:
																	raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''		)
											lowercase_	:     Tuple													=       src_lang
											lowercase_	:     Any													=       self(__SCREAMING_SNAKE_CASE				,							add_special_tokens=__SCREAMING_SNAKE_CASE				,							**__SCREAMING_SNAKE_CASE		)
											lowercase_	:     List[Any]													=       self.get_lang_id(__SCREAMING_SNAKE_CASE		)
											lowercase_	:     Union[str, Any]													=       tgt_lang_id
											return inputs






					def 	_snake_case    (   self		):


											"""simple docstring"""





											self.set_src_lang_special_tokens(self.src_lang		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											self.set_tgt_lang_special_tokens(self.tgt_lang		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Any													=       self.get_lang_token(__SCREAMING_SNAKE_CASE		)
											lowercase_	:     Dict													=       self.lang_token_to_id[lang_token]
											lowercase_	:     Optional[Any]													=       [self.cur_lang_id]
											lowercase_	:     Union[str, Any]													=       [self.eos_token_id]






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Any													=       self.get_lang_token(__SCREAMING_SNAKE_CASE		)
											lowercase_	:     Any													=       self.lang_token_to_id[lang_token]
											lowercase_	:     str													=       [self.cur_lang_id]
											lowercase_	:     List[str]													=       [self.eos_token_id]






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											return self.lang_code_to_token[lang]






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     List[Any]													=       self.get_lang_token(__SCREAMING_SNAKE_CASE		)
											return self.lang_token_to_id[lang_token]







def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str      ,      __SCREAMING_SNAKE_CASE					: Dict[str, Any]							):



						"""simple docstring"""





						lowercase_	:     Optional[int]													=       sentencepiece.SentencePieceProcessor(**__SCREAMING_SNAKE_CASE							)
						spm.Load(str(__SCREAMING_SNAKE_CASE							)							)
						return spm
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str							):



						"""simple docstring"""





						with open(__SCREAMING_SNAKE_CASE      ,      '''r'''							) as f:
												return json.load(__SCREAMING_SNAKE_CASE							)




def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Dict      ,      __SCREAMING_SNAKE_CASE					: str							):



						"""simple docstring"""





						with open(__SCREAMING_SNAKE_CASE      ,      '''w'''							) as f:
												json.dump(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE      ,      indent=2							)



