

import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


SCREAMING_SNAKE_CASE_            = '▁'

SCREAMING_SNAKE_CASE_            = get_tests_dir('fixtures/test_sentencepiece.model')

@require_sentencepiece
@require_tokenizers
class 			a					(		UpperCAmelCase							,	unittest.TestCase			):
						_lowercase        =     BigBirdTokenizer
						_lowercase        =     BigBirdTokenizerFast
						_lowercase        =     True
						_lowercase        =     True


						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										super().setUp()

										_UpperCAmelCase    :						Dict							=      self.tokenizer_class(A_  ,   keep_accents=A_		)
										tokenizer.save_pretrained(self.tmpdirname		)


						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										_UpperCAmelCase    :						Dict							=      "<s>"
										_UpperCAmelCase    :						int							=      1

										self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_		)  ,   A_		)
										self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_		)  ,   A_		)


						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										_UpperCAmelCase    :						Tuple							=      list(self.get_tokenizer().get_vocab().keys()		)

										self.assertEqual(vocab_keys[0]  ,   "<unk>"		)
										self.assertEqual(vocab_keys[1]  ,   "<s>"		)
										self.assertEqual(vocab_keys[-1]  ,   "[MASK]"		)
										self.assertEqual(len(A_		)  ,   1004		)


						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										self.assertEqual(self.get_tokenizer().vocab_size  ,   1000		)


						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										if not self.test_rust_tokenizer:
														return

										_UpperCAmelCase    :						Tuple							=      self.get_tokenizer()
										_UpperCAmelCase    :						Any							=      self.get_rust_tokenizer()

										_UpperCAmelCase    :						Optional[int]							=      "I was born in 92000, and this is falsé."

										_UpperCAmelCase    :						Optional[int]							=      tokenizer.tokenize(A_		)
										_UpperCAmelCase    :						Dict							=      rust_tokenizer.tokenize(A_		)
										self.assertListEqual(A_  ,   A_		)

										_UpperCAmelCase    :						Optional[int]							=      tokenizer.encode(A_  ,   add_special_tokens=A_		)
										_UpperCAmelCase    :						Optional[int]							=      rust_tokenizer.encode(A_  ,   add_special_tokens=A_		)
										self.assertListEqual(A_  ,   A_		)

										_UpperCAmelCase    :						str							=      self.get_rust_tokenizer()
										_UpperCAmelCase    :						Optional[Any]							=      tokenizer.encode(A_		)
										_UpperCAmelCase    :						Union[str, Any]							=      rust_tokenizer.encode(A_		)
										self.assertListEqual(A_  ,   A_		)


						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										_UpperCAmelCase    :						Union[str, Any]							=      BigBirdTokenizer(A_  ,   keep_accents=A_		)

										_UpperCAmelCase    :						Union[str, Any]							=      tokenizer.tokenize("This is a test"		)
										self.assertListEqual(A_  ,   ["▁This", "▁is", "▁a", "▁t", "est"]		)

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(A_		)  ,   [285, 46, 10, 170, 382]  ,   )

										_UpperCAmelCase    :						Optional[Any]							=      tokenizer.tokenize("I was born in 92000, and this is falsé."		)
										self.assertListEqual(
										    A_  ,   [
										        SPIECE_UNDERLINE + "I",
										        SPIECE_UNDERLINE + "was",
										        SPIECE_UNDERLINE + "b",
										        "or",
										        "n",
										        SPIECE_UNDERLINE + "in",
										        SPIECE_UNDERLINE + "",
										        "9",
										        "2",
										        "0",
										        "0",
										        "0",
										        ",",
										        SPIECE_UNDERLINE + "and",
										        SPIECE_UNDERLINE + "this",
										        SPIECE_UNDERLINE + "is",
										        SPIECE_UNDERLINE + "f",
										        "al",
										        "s",
										        "é",
										        ".",
										    ]  ,   )
										_UpperCAmelCase    :						Optional[Any]							=      tokenizer.convert_tokens_to_ids(A_		)
										self.assertListEqual(
										    A_  ,   [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]  ,   )

										_UpperCAmelCase    :						Optional[int]							=      tokenizer.convert_ids_to_tokens(A_		)
										self.assertListEqual(
										    A_  ,   [
										        SPIECE_UNDERLINE + "I",
										        SPIECE_UNDERLINE + "was",
										        SPIECE_UNDERLINE + "b",
										        "or",
										        "n",
										        SPIECE_UNDERLINE + "in",
										        SPIECE_UNDERLINE + "",
										        "<unk>",
										        "2",
										        "0",
										        "0",
										        "0",
										        ",",
										        SPIECE_UNDERLINE + "and",
										        SPIECE_UNDERLINE + "this",
										        SPIECE_UNDERLINE + "is",
										        SPIECE_UNDERLINE + "f",
										        "al",
										        "s",
										        "<unk>",
										        ".",
										    ]  ,   )


						@cached_property
						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										return BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"		)


						@slow
						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										_UpperCAmelCase    :						str							=      "Hello World!"
										_UpperCAmelCase    :						Tuple							=      [65, 18536, 2260, 101, 66]

										self.assertListEqual(A_  ,   self.big_tokenizer.encode(A_		)		)


						@slow
						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										_UpperCAmelCase    :						Optional[int]							=      (
										    "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
										    " add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"
										)
										# fmt: off
										_UpperCAmelCase    :						int							=      [65, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 34324, 497, 391, 408, 11342, 1244, 385, 100, 938, 985, 456, 574, 362, 12597, 3200, 3129, 1172, 66]  # noqa: E231
										# fmt: on
										self.assertListEqual(A_  ,   self.big_tokenizer.encode(A_		)		)


						@require_torch
						@slow
						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										import torch

										from transformers import BigBirdConfig, BigBirdModel

										# Build sequence
										_UpperCAmelCase    :						Optional[int]							=      list(self.big_tokenizer.get_vocab().keys()		)[:10]
										_UpperCAmelCase    :						int							=      " ".join(A_		)
										_UpperCAmelCase    :						Optional[Any]							=      self.big_tokenizer.encode_plus(A_  ,   return_tensors="pt"  ,   return_token_type_ids=A_		)
										_UpperCAmelCase    :						Union[str, Any]							=      self.big_tokenizer.batch_encode_plus(
										    [sequence + " " + sequence]  ,   return_tensors="pt"  ,   return_token_type_ids=A_		)

										_UpperCAmelCase    :						str							=      BigBirdConfig(attention_type="original_full"		)
										_UpperCAmelCase    :						int							=      BigBirdModel(A_		)

										assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

										with torch.no_grad():
														model(**A_		)
														model(**A_		)


						@slow
						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										_UpperCAmelCase    :						Optional[int]							=      BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"		)
										_UpperCAmelCase    :						int							=      tokenizer.decode(tokenizer("Paris is the [MASK]."		).input_ids		)

										self.assertTrue(decoded_text == "[CLS] Paris is the[MASK].[SEP]"		)





						@slow
						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										_UpperCAmelCase    :						List[Any]							=      {"input_ids": [[65, 39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114, 66], [65, 448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
										# fmt: on

										self.tokenizer_integration_test_util(
										    expected_encoding=A_  ,   model_name="google/bigbird-roberta-base"  ,   revision="215c99f1600e06f83acce68422f2035b2b5c3510"  ,   )







from __future__ import annotations

from decimal import Decimal
from math import *  # noqa: F403

from sympy import diff

def 							__SCREAMING_SNAKE_CASE							(			lowerCAmelCase:					str					, lowerCAmelCase:					float | Decimal					, lowerCAmelCase:					float = 10**-10	)				->    float:
				_UpperCAmelCase    :						Optional[int]							=      a
				while True:
								_UpperCAmelCase    :						Tuple							=      Decimal(lowerCAmelCase	) - (
								    Decimal(eval(lowerCAmelCase	)	) / Decimal(eval(str(diff(lowerCAmelCase	)	)	)	)  # noqa: S307
								)
								# This number dictates the accuracy of the answer
								if abs(eval(lowerCAmelCase	)	) < precision:  # noqa: S307
												return float(lowerCAmelCase	)


# Let's Execute
if __name__ == "__main__":
					# Find root of trigonometric function
					# Find value of pi
					print(F'''The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}''')
					# Find root of polynomial
					print(F'''The root of x**2 - 5*x + 2 = 0 is {newton_raphson("x**2 - 5*x + 2", 0.4)}''')
					# Find Square Root of 5
					print(F'''The root of log(x) - 1 = 0 is {newton_raphson("log(x) - 1", 2)}''')
					# Exponential Roots
					print(F'''The root of exp(x) - 1 = 0 is {newton_raphson("exp(x) - 1", 0)}''')


