





from transformers import (
    DPRContextEncoderTokenizer,
    DPRContextEncoderTokenizerFast,
    DPRQuestionEncoderTokenizer,
    DPRQuestionEncoderTokenizerFast,
    DPRReaderOutput,
    DPRReaderTokenizer,
    DPRReaderTokenizerFast,
)
from transformers.testing_utils import require_tokenizers, slow
from transformers.tokenization_utils_base import BatchEncoding

from ..bert.test_tokenization_bert import BertTokenizationTest



@require_tokenizers
class  _a  (					lowercase__				):






							"""simple docstring"""

							snake_case_							=    DPRContextEncoderTokenizer
							snake_case_							=    DPRContextEncoderTokenizerFast
							snake_case_							=    True







@require_tokenizers
class  _a  (					lowercase__				):






							"""simple docstring"""

							snake_case_							=    DPRQuestionEncoderTokenizer
							snake_case_							=    DPRQuestionEncoderTokenizerFast
							snake_case_							=    True







@require_tokenizers
class  _a  (					lowercase__				):






							"""simple docstring"""

							snake_case_							=    DPRReaderTokenizer
							snake_case_							=    DPRReaderTokenizerFast
							snake_case_							=    True

							@slow
							def   A_	(   self					:  Union[str, Any]     )						->str:
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       self.tokenizer_class.from_pretrained("bert-base-uncased"     )

													SCREAMING_SNAKE_CASE__  :					Tuple =       tokenizer.encode("question sequence"				,						add_special_tokens=a     )
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       tokenizer.encode("title sequence"				,						add_special_tokens=a     )
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       tokenizer.encode("text sequence " * 4				,						add_special_tokens=a     )
													SCREAMING_SNAKE_CASE__  :					Dict =       [[1_01] + text_a + [1_02] + text_a + [1_02] + text_a]
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       BatchEncoding({"input_ids": input_ids}     )

													SCREAMING_SNAKE_CASE__  :					str =       [[0] * len(input_ids[0]     )]
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       [[0] * len(input_ids[0]     )]
													SCREAMING_SNAKE_CASE__  :					List[str] =       [0]
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       DPRReaderOutput(a				,						a				,						a     )

													SCREAMING_SNAKE_CASE__,				SCREAMING_SNAKE_CASE__  :					int =       8, 9
													SCREAMING_SNAKE_CASE__  :					Tuple =       10
													SCREAMING_SNAKE_CASE__  :					str =       10
													SCREAMING_SNAKE_CASE__  :					Any =       tokenizer.decode_best_spans(a				,						a     )
													self.assertEqual(predicted_spans[0].start_index				,						a     )
													self.assertEqual(predicted_spans[0].end_index				,						a     )
													self.assertEqual(predicted_spans[0].doc_id				,						0     )






							@slow
							def   A_	(   self					:  Union[str, Any]     )						->List[str]:
													SCREAMING_SNAKE_CASE__  :					int =       self.tokenizer_class.from_pretrained("bert-base-uncased"     )

													SCREAMING_SNAKE_CASE__  :					Any =       tokenizer.encode("question sequence"				,						add_special_tokens=a     )
													SCREAMING_SNAKE_CASE__  :					List[str] =       tokenizer.encode("title sequence"				,						add_special_tokens=a     )
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       tokenizer.encode("text sequence"				,						add_special_tokens=a     )
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       [1_01] + text_a + [1_02] + text_a + [1_02] + text_a
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       tokenizer(questions=["question sequence"]				,						titles=["title sequence"]				,						texts=["text sequence"]     )
													self.assertIn("input_ids"				,						a     )
													self.assertIn("attention_mask"				,						a     )
													self.assertListEqual(encoded_input["input_ids"][0]				,						a     )






from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any



class  _a  :






							"""simple docstring"""

							snake_case_							=    ("_front", "_back", "_len")



							@dataclass
							class  _a  :






														"""simple docstring"""

														snake_case_							=    None
														snake_case_							=    None
														snake_case_							=    None







							class  _a  :






														"""simple docstring"""

														snake_case_							=    ("_cur",)

														def __init__(   self					:  Tuple				,						a					:  Deque._Node | None     )						->None:
																				SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       cur

														def __iter__(   self					:  Dict     )						->Deque._Iterator:
																				return self






														def   A_	(   self					:  int     )						->Any:
																				if self._cur is None:
																										# finished iterating
																										raise StopIteration
																				SCREAMING_SNAKE_CASE__  :					Tuple =       self._cur.val
																				SCREAMING_SNAKE_CASE__  :					int =       self._cur.next_node

																				return val







							def __init__(   self					:  str				,						a					:  Iterable[Any] | None = None     )						->None:
													SCREAMING_SNAKE_CASE__  :					Any =       None
													SCREAMING_SNAKE_CASE__  :					Any =       None
													SCREAMING_SNAKE_CASE__  :					int =       0

													if iterable is not None:
																			# append every value to the deque
																			for val in iterable:
																									self.append(a     )

							def   A_	(   self					:  Tuple				,						a					:  Any     )						->None:
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       self._Node(a				,						a				,						a     )
													if self.is_empty():
																			# front = back
																			SCREAMING_SNAKE_CASE__  :					int =       node
																			SCREAMING_SNAKE_CASE__  :					Dict =       1
													else:
																			# connect nodes
																			SCREAMING_SNAKE_CASE__  :					Optional[int] =       node
																			SCREAMING_SNAKE_CASE__  :					Any =       self._back
																			SCREAMING_SNAKE_CASE__  :					Tuple =       node  # assign new back to the new node

																			self._len += 1

																			# make sure there were no errors
																			assert not self.is_empty(), "Error on appending value."

							def   A_	(   self					:  List[str]				,						a					:  Any     )						->None:
													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._Node(a				,						a				,						a     )
													if self.is_empty():
																			# front = back
																			SCREAMING_SNAKE_CASE__  :					str =       node
																			SCREAMING_SNAKE_CASE__  :					Dict =       1
													else:
																			# connect nodes
																			SCREAMING_SNAKE_CASE__  :					Any =       self._front
																			SCREAMING_SNAKE_CASE__  :					Tuple =       node
																			SCREAMING_SNAKE_CASE__  :					int =       node  # assign new front to the new node

																			self._len += 1

																			# make sure there were no errors
																			assert not self.is_empty(), "Error on appending value."

							def   A_	(   self					:  Dict				,						a					:  Iterable[Any]     )						->None:
													for val in iterable:
																			self.append(a     )

							def   A_	(   self					:  Tuple				,						a					:  Iterable[Any]     )						->None:
													for val in iterable:
																			self.appendleft(a     )

							def   A_	(   self					:  Any     )						->Any:
													assert not self.is_empty(), "Deque is empty."

													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._back
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       self._back.prev_node  # set new back
													# drop the last node - python will deallocate memory automatically
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       None

													self._len -= 1

													return topop.val

							def   A_	(   self					:  Any     )						->Any:
													assert not self.is_empty(), "Deque is empty."

													SCREAMING_SNAKE_CASE__  :					Any =       self._front
													SCREAMING_SNAKE_CASE__  :					Dict =       self._front.next_node  # set new front and drop the first node
													SCREAMING_SNAKE_CASE__  :					Dict =       None

													self._len -= 1

													return topop.val

							def   A_	(   self					:  str     )						->bool:
													return self._front is None

							def __len__(   self					:  List[str]     )						->int:
													return self._len

							def __eq__(   self					:  List[Any]				,						a					:  object     )						->bool:

													if not isinstance(a				,						a     ):
																			return NotImplemented

													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._front
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       other._front

													# if the length of the dequeues are not the same, they are not equal
													if len(self     ) != len(a     ):
																			return False

													while me is not None and oth is not None:
																			# compare every value
																			if me.val != oth.val:
																									return False
																			SCREAMING_SNAKE_CASE__  :					Any =       me.next_node
																			SCREAMING_SNAKE_CASE__  :					Any =       oth.next_node

													return True

							def __iter__(   self					:  Any     )						->Deque._Iterator:
													return Deque._Iterator(self._front     )






							def __repr__(   self					:  Any     )						->str:
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       []
													SCREAMING_SNAKE_CASE__  :					int =       self._front
													while aux is not None:
																			# append the values in a list to display
																			values_list.append(aux.val     )
																			SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       aux.next_node

													return f"""[{', '.join(repr(a     ) for val in values_list     )}]"""


if __name__ == "__main__":
				import doctest

				doctest.testmod()