




"""simple docstring"""






import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format






class lowerCAmelCase__	:






			'''simple docstring'''



			lowerCamelCase__      =			None
			def 					A_    (  self  ):
							_lowerCamelCase     :			Dict    =    self.feature_extraction_class(**self.feat_extract_dict  )
							_lowerCamelCase     :			Tuple    =    json.loads(feat_extract.to_json_string()  )
							for key, value in self.feat_extract_dict.items():
											self.assertEqual(obj[key]  ,      __a  )
			def 					A_    (  self  ):
							_lowerCamelCase     :			str    =    self.feature_extraction_class(**self.feat_extract_dict  )

							with tempfile.TemporaryDirectory() as tmpdirname:
											_lowerCamelCase     :			Union[str, Any]    =    os.path.join(__a  ,      'feat_extract.json'  )
											feat_extract_first.to_json_file(__a  )
											_lowerCamelCase     :			List[str]    =    self.feature_extraction_class.from_json_file(__a  )

							self.assertEqual(feat_extract_second.to_dict()  ,      feat_extract_first.to_dict()  )
			def 					A_    (  self  ):
							_lowerCamelCase     :			Optional[Any]    =    self.feature_extraction_class(**self.feat_extract_dict  )

							with tempfile.TemporaryDirectory() as tmpdirname:
											_lowerCamelCase     :			str    =    feat_extract_first.save_pretrained(__a  )[0]
											check_json_file_has_correct_format(__a  )
											_lowerCamelCase     :			Optional[Any]    =    self.feature_extraction_class.from_pretrained(__a  )

							self.assertEqual(feat_extract_second.to_dict()  ,      feat_extract_first.to_dict()  )






			def 					A_    (  self  ):
							_lowerCamelCase     :			Dict    =    self.feature_extraction_class()
							self.assertIsNotNone(__a  )



"""simple docstring"""


import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


A     :   str			    =			logging.get_logger(__name__)
class   _UpperCamelCase  (   lowerCAmelCase__		):
							'''simple docstring'''







							__UpperCAmelCase						:    str				      =["""input_ids""", """attention_mask"""]

							def __init__(     self    ,   __a="</s>"    ,   __a="<unk>"    ,   __a="<pad>"    ,   __a=1_25    ,   __a=None    ,   **__a    ,   ):
										# Add extra_ids to the special token list
										if extra_ids > 0 and additional_special_tokens is None:
													__lowerCAmelCase				    =			[f"<extra_id_{i}>" for i in range(__a	)]
										elif extra_ids > 0 and additional_special_tokens is not None:
													# Check that we have the right number of extra_id special tokens
													__lowerCAmelCase				    =			len(set(filter(lambda __a	: bool("extra_id" in str(__a	)	)    ,   __a	)	)	)
													if extra_tokens != extra_ids:
																raise ValueError(
																    f"Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are"
																    " provided to ByT5Tokenizer. In this case the additional_special_tokens must include the"
																    " extra_ids tokens"	)

										__lowerCAmelCase				    =			AddedToken(__a    ,   lstrip=__a    ,   rstrip=__a	) if isinstance(__a    ,   __a	) else pad_token
										__lowerCAmelCase				    =			AddedToken(__a    ,   lstrip=__a    ,   rstrip=__a	) if isinstance(__a    ,   __a	) else eos_token
										__lowerCAmelCase				    =			AddedToken(__a    ,   lstrip=__a    ,   rstrip=__a	) if isinstance(__a    ,   __a	) else unk_token

										super().__init__(
										    eos_token=__a    ,   unk_token=__a    ,   pad_token=__a    ,   extra_ids=__a    ,   additional_special_tokens=__a    ,   **__a    ,   )

										__lowerCAmelCase				    =			extra_ids

										__lowerCAmelCase				    =			2**8  # utf is 8 bits

										# define special tokens dict
										__lowerCAmelCase				    =			{
										    self.pad_token: 0,
										    self.eos_token: 1,
										    self.unk_token: 2,
										}
										__lowerCAmelCase				    =			len(self.special_tokens_encoder	)
										__lowerCAmelCase				    =			len(__a	)
										for i, token in enumerate(__a	):
													__lowerCAmelCase				    =			self.vocab_size + i - n
										__lowerCAmelCase				    =			{v: k for k, v in self.special_tokens_encoder.items()}

							@property
							def 			snake_case				(     self	):
										return self._utf_vocab_size + self._num_special_tokens + self._extra_ids

							def 			snake_case				(     self    ,   __a    ,   __a = None    ,   __a = False	):
										if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=__a    ,   token_ids_a=__a    ,   already_has_special_tokens=__a	)

										# normal case: some special tokens
										if token_ids_a is None:
													return ([0] * len(__a	)) + [1]
										return ([0] * len(__a	)) + [1] + ([0] * len(__a	)) + [1]

							def 			snake_case				(     self    ,   __a	):
										if len(__a	) > 0 and token_ids[-1] == self.eos_token_id:
													warnings.warn(
													    f"This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated"
													    " eos tokens being added."	)
													return token_ids
										else:
													return token_ids + [self.eos_token_id]

							def 			snake_case				(     self    ,   __a    ,   __a = None	):
										__lowerCAmelCase				    =			[self.eos_token_id]

										if token_ids_a is None:
													return len(token_ids_a + eos	) * [0]
										return len(token_ids_a + eos + token_ids_a + eos	) * [0]

							def 			snake_case				(     self    ,   __a    ,   __a = None	):
										__lowerCAmelCase				    =			self._add_eos_if_not_present(__a	)
										if token_ids_a is None:
													return token_ids_a
										else:
													__lowerCAmelCase				    =			self._add_eos_if_not_present(__a	)
													return token_ids_a + token_ids_a

							def 			snake_case				(     self    ,   __a	):
										__lowerCAmelCase				    =			[chr(__a	) for i in text.encode("utf-8"	)]
										return tokens

							def 			snake_case				(     self    ,   __a	):
										if token in self.special_tokens_encoder:
													__lowerCAmelCase				    =			self.special_tokens_encoder[token]
										elif token in self.added_tokens_encoder:
													__lowerCAmelCase				    =			self.added_tokens_encoder[token]
										elif len(__a	) != 1:
													__lowerCAmelCase				    =			self.unk_token_id
										else:
													__lowerCAmelCase				    =			ord(__a	) + self._num_special_tokens
										return token_id

							def 			snake_case				(     self    ,   __a	):
										if index in self.special_tokens_decoder:
													__lowerCAmelCase				    =			self.special_tokens_decoder[index]
										else:
													__lowerCAmelCase				    =			chr(index - self._num_special_tokens	)
										return token

							def 			snake_case				(     self    ,   __a	):
										__lowerCAmelCase				    =			B""
										for token in tokens:
													if token in self.special_tokens_decoder:
																__lowerCAmelCase				    =			self.special_tokens_decoder[token].encode("utf-8"	)
													elif token in self.added_tokens_decoder:
																__lowerCAmelCase				    =			self.special_tokens_decoder[token].encode("utf-8"	)
													elif token in self.special_tokens_encoder:
																__lowerCAmelCase				    =			token.encode("utf-8"	)
													elif token in self.added_tokens_encoder:
																__lowerCAmelCase				    =			token.encode("utf-8"	)
													else:
																__lowerCAmelCase				    =			bytes([ord(__a	)]	)
													bstring += tok_string
										__lowerCAmelCase				    =			bstring.decode("utf-8"    ,   errors="ignore"	)
										return string



							def 			snake_case				(     self    ,   __a    ,   __a = None	):
										return ()




