
def   lowerCAmelCase_						(					_snake_case      :  float      ,   _snake_case      :  float   )				->		float:







	'''simple docstring'''


	return price * (1 + tax_rate)


if __name__ == "__main__":
				print(F"{price_plus_tax(100, 0.25) = }")
				print(F"{price_plus_tax(1_25.50, 0.05) = }")


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


snake_case :		str							      =  "▁"

snake_case :		List[Any]							      =  get_tests_dir("fixtures/test_sentencepiece.model")





@require_sentencepiece
@require_tokenizers
class       _snake_case					(     snake_case				,						unittest.TestCase				):
			UpperCamelCase__          =    BigBirdTokenizer
			UpperCamelCase__          =    BigBirdTokenizerFast
			UpperCamelCase__          =    True
			UpperCamelCase__          =    True







			def 			SCREAMING_SNAKE_CASE    (				self		):
				super().setUp()

				__magic_name__		:		Optional[Any]	   =     self.tokenizer_class(_a						,   keep_accents=_a		)
				tokenizer.save_pretrained(self.tmpdirname		)







			def 			SCREAMING_SNAKE_CASE    (				self		):
				__magic_name__		:		Union[str, Any]	   =     "<s>"
				__magic_name__		:		Dict	   =     1

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







			def 			SCREAMING_SNAKE_CASE    (				self		):
				__magic_name__		:		Optional[int]	   =     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		)						,   1_004		)







			def 			SCREAMING_SNAKE_CASE    (				self		):
				self.assertEqual(self.get_tokenizer().vocab_size						,   1_000		)







			def 			SCREAMING_SNAKE_CASE    (				self		):
				if not self.test_rust_tokenizer:
					return

				__magic_name__		:		Dict	   =     self.get_tokenizer()
				__magic_name__		:		str	   =     self.get_rust_tokenizer()

				__magic_name__		:		Any	   =     "I was born in 92000, and this is falsé."

				__magic_name__		:		Dict	   =     tokenizer.tokenize(_a		)
				__magic_name__		:		Any	   =     rust_tokenizer.tokenize(_a		)
				self.assertListEqual(_a						,   _a		)

				__magic_name__		:		List[Any]	   =     tokenizer.encode(_a						,   add_special_tokens=_a		)
				__magic_name__		:		List[str]	   =     rust_tokenizer.encode(_a						,   add_special_tokens=_a		)
				self.assertListEqual(_a						,   _a		)

				__magic_name__		:		str	   =     self.get_rust_tokenizer()
				__magic_name__		:		Dict	   =     tokenizer.encode(_a		)
				__magic_name__		:		Optional[int]	   =     rust_tokenizer.encode(_a		)
				self.assertListEqual(_a						,   _a		)







			def 			SCREAMING_SNAKE_CASE    (				self		):
				__magic_name__		:		Optional[int]	   =     BigBirdTokenizer(_a						,   keep_accents=_a		)

				__magic_name__		:		str	   =     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]						,   )

				__magic_name__		:		Dict	   =     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",
				        ".",
				    ]						,   )
				__magic_name__		:		Union[str, 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]						,   )

				__magic_name__		:		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 			SCREAMING_SNAKE_CASE    (				self		):
				return BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"		)







			@slow
			def 			SCREAMING_SNAKE_CASE    (				self		):
				__magic_name__		:		Any	   =     "Hello World!"
				__magic_name__		:		Dict	   =     [65, 18_536, 2_260, 101, 66]

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







			@slow
			def 			SCREAMING_SNAKE_CASE    (				self		):
				__magic_name__		:		Dict	   =     (
				    "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
				__magic_name__		:		List[str]	   =     [65, 871, 419, 358, 946, 991, 2_521, 452, 358, 1_357, 387, 7_751, 3_536, 112, 985, 456, 126, 865, 938, 5_400, 5_734, 458, 1_368, 467, 786, 2_462, 5_246, 1_159, 633, 865, 4_519, 457, 582, 852, 2_557, 427, 916, 508, 405, 34_324, 497, 391, 408, 11_342, 1_244, 385, 100, 938, 985, 456, 574, 362, 12_597, 3_200, 3_129, 1_172, 66]  # noqa: E231
				# fmt: on
				self.assertListEqual(_a						,   self.big_tokenizer.encode(_a		)		)







			@require_torch
			@slow
			def 			SCREAMING_SNAKE_CASE    (				self		):
				import torch

				from transformers import BigBirdConfig, BigBirdModel

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

				__magic_name__		:		List[str]	   =     BigBirdConfig(attention_type="original_full"		)
				__magic_name__		:		Optional[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 			SCREAMING_SNAKE_CASE    (				self		):
				__magic_name__		:		int	   =     BigBirdTokenizer.from_pretrained("google/bigbird-roberta-base"		)
				__magic_name__		:		int	   =     tokenizer.decode(tokenizer("Paris is the [MASK]."		).input_ids		)

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







			@slow
			def 			SCREAMING_SNAKE_CASE    (				self		):
				# fmt: off
				__magic_name__		:		Optional[Any]	   =     {"input_ids": [[65, 39_286, 458, 36_335, 2_001, 456, 13_073, 13_266, 455, 113, 7_746, 1_741, 11_157, 391, 13_073, 13_266, 455, 113, 3_967, 35_412, 113, 4_936, 109, 3_870, 2_377, 113, 30_084, 45_720, 458, 134, 17_496, 112, 503, 11_672, 113, 118, 112, 5_665, 13_347, 38_687, 112, 1_496, 31_389, 112, 3_268, 47_264, 134, 962, 112, 16_377, 8_035, 23_130, 430, 12_169, 15_518, 28_592, 458, 146, 41_697, 109, 391, 12_169, 15_518, 16_689, 458, 146, 41_358, 109, 452, 726, 4_034, 111, 763, 35_412, 5_082, 388, 1_903, 111, 9_051, 391, 2_870, 48_918, 1_900, 1_123, 550, 998, 112, 9_586, 15_985, 455, 391, 410, 22_955, 37_636, 114, 66], [65, 448, 17_496, 419, 3_663, 385, 763, 113, 27_533, 2_870, 3_283, 13_043, 1_639, 24_713, 523, 656, 24_013, 18_550, 2_521, 517, 27_014, 21_244, 420, 1_212, 1_465, 391, 927, 4_833, 388, 578, 11_786, 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, 2_169, 7_687, 21_932, 18_146, 726, 363, 17_032, 3_391, 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"						,   )
