





import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_pegasus import PegasusTokenizer
else:
     __A									=				None


__A									=				logging.get_logger(__name__)


__A									=				"▁"

__A									=				{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

__A									=				{
    "vocab_file": {"google/pegasus-xsum": "https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model"},
    "tokenizer_file": {
        "google/pegasus-xsum": "https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json"
    },
}

__A									=				{
    "google/pegasus-xsum": 512,
}



class    _SCREAMING_SNAKE_CASE						(	__SCREAMING_SNAKE_CASE    ):







 '''simple docstring'''
 lowercase_		=			VOCAB_FILES_NAMES
 lowercase_		=			PRETRAINED_VOCAB_FILES_MAP
 lowercase_		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_		=			PegasusTokenizer
 lowercase_		=			["input_ids", "attention_mask"]

 def __init__(self				:   Union[str, Any]       , UpperCAmelCase_				:   List[Any]=None       , UpperCAmelCase_				:   int=None       , UpperCAmelCase_				:   Optional[int]="<pad>"       , UpperCAmelCase_				:   str="</s>"       , UpperCAmelCase_				:   str="<unk>"       , UpperCAmelCase_				:   int="<mask_2>"       , UpperCAmelCase_				:   Any="<mask_1>"       , UpperCAmelCase_				:   int=None       , UpperCAmelCase_				:   int=103       , **UpperCAmelCase_				:   Dict       , )       ->Any:



   '''simple docstring'''



   lowerCamelCase__:      Dict			  =offset

   if additional_special_tokens is not None:
     if not isinstance(UpperCAmelCase_       , UpperCAmelCase_):
       raise TypeError(
           F"""additional_special_tokens should be of type {type(UpperCAmelCase_)}, but is"""
           F""" {type(UpperCAmelCase_)}""")

     lowerCamelCase__:      Any			  =(
         ([mask_token_sent] + additional_special_tokens)
         if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
         else additional_special_tokens
     )
     # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
     additional_special_tokens_extended += [
         F"""<unk_{i}>""" for i in range(len(UpperCAmelCase_)       , self.offset - 1)
     ]

     if len(set(UpperCAmelCase_)) != len(UpperCAmelCase_):
       raise ValueError(
           "Please make sure that the provided additional_special_tokens do not contain an incorrectly"
           F""" shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.""")
     lowerCamelCase__:      Optional[int]			  =additional_special_tokens_extended
   else:
     lowerCamelCase__:      Union[str, Any]			  =[mask_token_sent] if mask_token_sent is not None else []
     additional_special_tokens += [F"""<unk_{i}>""" for i in range(2       , self.offset)]

   super().__init__(
       UpperCAmelCase_       , tokenizer_file=UpperCAmelCase_       , pad_token=UpperCAmelCase_       , eos_token=UpperCAmelCase_       , unk_token=UpperCAmelCase_       , mask_token=UpperCAmelCase_       , mask_token_sent=UpperCAmelCase_       , offset=UpperCAmelCase_       , additional_special_tokens=UpperCAmelCase_       , **UpperCAmelCase_       , )
   lowerCamelCase__:      List[Any]			  =vocab_file
   lowerCamelCase__:      Tuple			  =False if not self.vocab_file else True

 def 							SCREAMING_SNAKE_CASE_					(self				:   Tuple       , UpperCAmelCase_				:   Tuple)       ->int:



   '''simple docstring'''



   lowerCamelCase__:      Dict			  =set(self.all_special_ids)  # call it once instead of inside list comp
   all_special_ids.remove(self.unk_token_id)  # <unk> is only sometimes special

   if all_special_ids != set(range(len(self.additional_special_tokens) + 3)):
     raise ValueError(
         "There should be 3 special tokens: mask_token, pad_token, and eos_token +"
         F""" {len(self.additional_special_tokens)} additional_special_tokens, but got {all_special_ids}""")

   return [1 if x in all_special_ids else 0 for x in seq]

 def 							SCREAMING_SNAKE_CASE_					(self				:   str       , UpperCAmelCase_				:   List       , UpperCAmelCase_				:   Optional[List] = None       , UpperCAmelCase_				:   bool = False)       ->List[int]:



   '''simple docstring'''



   if already_has_special_tokens:
     return self._special_token_mask(UpperCAmelCase_)
   elif token_ids_a is None:
     return self._special_token_mask(UpperCAmelCase_) + [1]
   else:
     return self._special_token_mask(token_ids_a + token_ids_a) + [1]

 def 							SCREAMING_SNAKE_CASE_					(self				:   int       , UpperCAmelCase_				:   List[Any]       , UpperCAmelCase_				:   str=None)       ->List[int]:



   '''simple docstring'''



   if token_ids_a is None:
     return token_ids_a + [self.eos_token_id]
   # We don't expect to process pairs, but leave the pair logic for API consistency
   return token_ids_a + token_ids_a + [self.eos_token_id]







 def 							SCREAMING_SNAKE_CASE_					(self				:   List[str]       , UpperCAmelCase_				:   str       , UpperCAmelCase_				:   Optional[str] = None)       ->Tuple[str]:



   '''simple docstring'''



   if not self.can_save_slow_tokenizer:
     raise ValueError(
         "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
         "tokenizer.")

   if not os.path.isdir(UpperCAmelCase_):
     logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
     return
   lowerCamelCase__:      List[str]			  =os.path.join(
       UpperCAmelCase_       , (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])

   if os.path.abspath(self.vocab_file) != os.path.abspath(UpperCAmelCase_):
     copyfile(self.vocab_file       , UpperCAmelCase_)

   return (out_vocab_file,)






"""simple docstring"""







from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
							from .features import FeatureType
@dataclass
class        __A       :







		'''simple docstring'''





		lowerCAmelCase			:					List[str]
		lowerCAmelCase			:					Optional[str]   	=				None
		# Automatically constructed
		lowerCAmelCase			:					ClassVar[str]   	=				"dict"
		lowerCAmelCase			:					ClassVar[Any]   	=				None
		lowerCAmelCase			:					str   	=				field(default="Translation"     ,init=A_     ,repr=A_    )







		def __call__(	self						:  List[str]						)					->		Any:






				"""simple docstring"""



				return pa.struct({lang: pa.string() for lang in sorted(self.languages						)}						)







		def 					UpperCAmelCase    (	self						:  List[str]						)					->		Union["FeatureType", Dict[str, "FeatureType"]]:






				"""simple docstring"""



				from .features import Value

				return {k: Value('''string'''						) for k in sorted(self.languages						)}





@dataclass
class        __A       :







		'''simple docstring'''





		lowerCAmelCase			:					Optional[List]   	=				None
		lowerCAmelCase			:					Optional[int]   	=				None
		lowerCAmelCase			:					Optional[str]   	=				None
		# Automatically constructed
		lowerCAmelCase			:					ClassVar[str]   	=				"dict"
		lowerCAmelCase			:					ClassVar[Any]   	=				None
		lowerCAmelCase			:					str   	=				field(default="TranslationVariableLanguages"     ,init=A_     ,repr=A_    )







		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		Optional[int]:






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			sorted(set(self.languages						)						) if self.languages else None
				lowercase__   :    Dict				=			len(self.languages						) if self.languages else None







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






				"""simple docstring"""



				return pa.struct({'''language''': pa.list_(pa.string()						), '''translation''': pa.list_(pa.string()						)}						)







		def 					UpperCAmelCase    (	self						:  Dict			,_snake_case						:  Tuple						)					->		int:






				"""simple docstring"""



				lowercase__   :    List[Any]				=			set(self.languages						)
				if self.languages and set(_snake_case						) - lang_set:
						raise ValueError(
						    f"""Some languages in example ({", ".join(sorted(set(_snake_case						) - lang_set						)						)}) are not in valid set ({", ".join(_snake_case						)})."""						)

				# Convert dictionary into tuples, splitting out cases where there are
				# multiple translations for a single language.
				lowercase__   :    str				=			[]
				for lang, text in translation_dict.items():
						if isinstance(_snake_case			,_snake_case						):
								translation_tuples.append((lang, text)						)
						else:
								translation_tuples.extend([(lang, el) for el in text]						)

        # Ensure translations are in ascending order by language code.
				lowercase__		,			lowercase__   :    Optional[Any]				=			zip(*sorted(_snake_case						)						)

				return {"language": languages, "translation": translations}







		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		Union["FeatureType", Dict[str, "FeatureType"]]:






				"""simple docstring"""



				from .features import Sequence, Value

				return {
				    "language": Sequence(Value('''string'''						)						),
				    "translation": Sequence(Value('''string'''						)						),
				}
