



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

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


snake_case    :						str  =						logging.get_logger(__name__)




class 							lowerCAmelCase__  (	UpperCamelCase						):
					__A     :    List[str]           =						['input_ids', 'attention_mask']







					def __init__(       self      :     Any			,		_A      :     Dict="</s>"			,		_A      :     Any="<unk>"			,		_A      :     List[str]="<pad>"			,		_A      :     Tuple=125			,		_A      :     Optional[int]=None			,		**_A      :     Tuple			,		):
											# Add extra_ids to the special token list
											if extra_ids > 0 and additional_special_tokens is None:
																	A__	:							Dict						    = [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
																	A__	:							Tuple						    = 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")

											A__	:							Optional[Any]						    = AddedToken(_A			,		lstrip=_A			,		rstrip=_A) if isinstance(_A			,		_A) else pad_token
											A__	:							Union[str, Any]						    = AddedToken(_A			,		lstrip=_A			,		rstrip=_A) if isinstance(_A			,		_A) else eos_token
											A__	:							int						    = 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			,		)

											A__	:							Optional[int]						    = extra_ids

											A__	:							Optional[int]						    = 2**8  # utf is 8 bits

											# define special tokens dict
											A__	:							Dict[int, str]						    = {
											    self.pad_token: 0,
											    self.eos_token: 1,
											    self.unk_token: 2,
											}
											A__	:							int						    = len(self.special_tokens_encoder)
											A__	:							Optional[int]						    = len(_A)
											for i, token in enumerate(_A):
																	A__	:							List[str]						    = self.vocab_size + i - n
											A__	:							Dict[str, int]						    = {v: k for k, v in self.special_tokens_encoder.items()}







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







					def  _lowercase			(       self      :     List[str]			,		_A      :     List[int]			,		_A      :     Optional[List[int]] = None			,		_A      :     bool = 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  _lowercase			(       self      :     str			,		_A      :     List[int]):
											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  _lowercase			(       self      :     List[Any]			,		_A      :     List[int]			,		_A      :     Optional[List[int]] = None):
											A__	:							List[Any]						    = [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  _lowercase			(       self      :     str			,		_A      :     List[int]			,		_A      :     Optional[List[int]] = None):
											A__	:							int						    = self._add_eos_if_not_present(_A)
											if token_ids_a is None:
																	return token_ids_a
											else:
																	A__	:							int						    = self._add_eos_if_not_present(_A)
																	return token_ids_a + token_ids_a







					def  _lowercase			(       self      :     Any			,		_A      :     str):
											A__	:							Tuple						    = [chr(_A) for i in text.encode("utf-8")]
											return tokens







					def  _lowercase			(       self      :     List[str]			,		_A      :     Optional[int]):
											if token in self.special_tokens_encoder:
																	A__	:							str						    = self.special_tokens_encoder[token]
											elif token in self.added_tokens_encoder:
																	A__	:							List[Any]						    = self.added_tokens_encoder[token]
											elif len(_A) != 1:
																	A__	:							Dict						    = self.unk_token_id
											else:
																	A__	:							List[Any]						    = ord(_A) + self._num_special_tokens
											return token_id







					def  _lowercase			(       self      :     Any			,		_A      :     Optional[int]):
											if index in self.special_tokens_decoder:
																	A__	:							int						    = self.special_tokens_decoder[index]
											else:
																	A__	:							int						    = chr(index - self._num_special_tokens)
											return token







					def  _lowercase			(       self      :     Dict			,		_A      :     Optional[Any]):
											A__	:							int						    = B""
											for token in tokens:
																	if token in self.special_tokens_decoder:
																							A__	:							Optional[int]						    = self.special_tokens_decoder[token].encode("utf-8")
																	elif token in self.added_tokens_decoder:
																							A__	:							Any						    = self.special_tokens_decoder[token].encode("utf-8")
																	elif token in self.special_tokens_encoder:
																							A__	:							Any						    = token.encode("utf-8")
																	elif token in self.added_tokens_encoder:
																							A__	:							Optional[int]						    = token.encode("utf-8")
																	else:
																							A__	:							Dict						    = bytes([ord(_A)])
																	bstring += tok_string
											A__	:							Union[str, Any]						    = bstring.decode("utf-8"			,		errors="ignore")
											return string







					def  _lowercase			(       self      :     str			,		_A      :     str			,		_A      :     Optional[str] = None):
											return ()




import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
		from transformers import AutoModelForSeqaSeqLM, AutoTokenizer




@require_torch
@require_sentencepiece
@require_tokenizers
class 							lowerCAmelCase__  (	unittest.TestCase						):







					@slow
					def  _lowercase			(       self      :     List[Any]):
											A__	:							Optional[int]						    = AutoModelForSeqaSeqLM.from_pretrained("google/mt5-small"			,		return_dict=_A).to(_A)
											A__	:							Any						    = AutoTokenizer.from_pretrained("google/mt5-small")

											A__	:							int						    = tokenizer("Hello there"			,		return_tensors="pt").input_ids
											A__	:							List[str]						    = tokenizer("Hi I am"			,		return_tensors="pt").input_ids

											A__	:							int						    = model(input_ids.to(_A)			,		labels=labels.to(_A)).loss
											A__	:							Optional[int]						    = -(labels.shape[-1] * loss.item())

											A__	:							List[str]						    = -84.91_27
											self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)