



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 						lowerCamelCase_     (			_A    ):






						'''simple docstring'''
						a__ =	DPRContextEncoderTokenizer
						a__ =	DPRContextEncoderTokenizerFast
						a__ =	True







@require_tokenizers
class 						lowerCamelCase_     (			_A    ):






						'''simple docstring'''
						a__ =	DPRQuestionEncoderTokenizer
						a__ =	DPRQuestionEncoderTokenizerFast
						a__ =	True







@require_tokenizers
class 						lowerCamelCase_     (			_A    ):






						'''simple docstring'''
						a__ =	DPRReaderTokenizer
						a__ =	DPRReaderTokenizerFast
						a__ =	True







						@slow
						def       SCREAMING_SNAKE_CASE__		(						self   :      str			)   ->					int:
									A				:       Optional[Any]														=    self.tokenizer_class.from_pretrained("bert-base-uncased"			)

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

									A				:       Tuple														=    [[0] * len(input_ids[0]			)]
									A				:       Dict														=    [[0] * len(input_ids[0]			)]
									A				:       int														=    [0]
									A				:       Optional[Any]														=    DPRReaderOutput(__lowerCamelCase						,						__lowerCamelCase						,						__lowerCamelCase			)

									A							,			A				:       Optional[Any]														=    8, 9
									A				:       str														=    10
									A				:       Tuple														=    10
									A				:       Dict														=    tokenizer.decode_best_spans(__lowerCamelCase						,						__lowerCamelCase			)
									self.assertEqual(predicted_spans[0].start_index						,						__lowerCamelCase			)
									self.assertEqual(predicted_spans[0].end_index						,						__lowerCamelCase			)
									self.assertEqual(predicted_spans[0].doc_id						,						0			)







						@slow
						def       SCREAMING_SNAKE_CASE__		(						self   :      List[str]			)   ->					Tuple:
									A				:       Dict														=    self.tokenizer_class.from_pretrained("bert-base-uncased"			)

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




from collections.abc import Callable

__SCREAMING_SNAKE_CASE     =	Callable[[float], float]  # type alias for a real -> real function




def 						UpperCAmelCase (    _lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase			,     ):
			A				:       int														=    float(_lowerCamelCase     )
			while True:
						try:
									A				:       Optional[int]														=    prev_guess - function(_lowerCamelCase     ) / derivative(_lowerCamelCase     )
						except ZeroDivisionError:
									raise ZeroDivisionError("Could not find root"     ) from None
						if abs(prev_guess - next_guess     ) < 10**-5:
									return next_guess
						A				:       Any														=    next_guess




def 						UpperCAmelCase (    _lowerCamelCase     ):
			return (x**3) - (2 * x) - 5




def 						UpperCAmelCase (    _lowerCamelCase     ):
			return 3 * (x**2) - 2


if __name__ == "__main__":
							print(newton(f, fa, 3))