





"""simple docstring"""


import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 							lowercase__			(   UpperCAmelCase_					,     unittest.TestCase	):

			"""simple docstring"""
			__lowerCAmelCase     :				str										=  None
			__lowerCAmelCase     :				str										=  BloomTokenizerFast
			__lowerCAmelCase     :				List[str]										=  BloomTokenizerFast
			__lowerCAmelCase     :				Union[str, Any]										=  True
			__lowerCAmelCase     :				int										=  False
			__lowerCAmelCase     :				List[Any]										=  "tokenizer_file"
			__lowerCAmelCase     :				Optional[Any]										=  {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}







			def   _a      (      self    ):






									'''simple docstring'''







									super().setUp()
									UpperCamelCase				:		List[str]				   =			BloomTokenizerFast.from_pretrained("""bigscience/tokenizer"""    )
									tokenizer.save_pretrained(self.tmpdirname    )







			def   _a      (      self						,   **_A    ):






									'''simple docstring'''







									kwargs.update(self.special_tokens_map    )
									return BloomTokenizerFast.from_pretrained(self.tmpdirname						,   **_snake_case    )







			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		Dict				   =			self.get_rust_tokenizer()

									UpperCamelCase				:		Tuple				   =			["""The quick brown fox</s>""", """jumps over the lazy dog</s>"""]
									UpperCamelCase				:		List[str]				   =			[[2_1_7_5, 2_3_7_1_4, 7_3_1_7_3, 1_4_4_2_5_2, 2], [7_7, 1_3_2_6_1_9, 3_4_7_8, 3_6_8, 1_0_9_5_8_6, 3_5_4_3_3, 2]]

									UpperCamelCase				:		Union[str, Any]				   =			tokenizer.batch_encode_plus(_snake_case    )["""input_ids"""]
									self.assertListEqual(_snake_case						,   _snake_case    )

									UpperCamelCase				:		str				   =			tokenizer.batch_decode(_snake_case    )
									self.assertListEqual(_snake_case						,   _snake_case    )







			def   _a      (      self						,   _A=6    ):






									'''simple docstring'''







									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
																					UpperCamelCase				:		Any				   =			self.rust_tokenizer_class.from_pretrained(_snake_case						,   **_snake_case    )
																					# tokenizer_r.pad_token = None # Hotfixing padding = None
																					# Simple input
																					UpperCamelCase				:		str				   =			"""This is a simple input"""
																					UpperCamelCase				:		Dict				   =			["""This is a simple input 1""", """This is a simple input 2"""]
																					UpperCamelCase				:		List[Any]				   =			("""This is a simple input""", """This is a pair""")
																					UpperCamelCase				:		List[str]				   =			[
																					    ("""This is a simple input 1""", """This is a simple input 2"""),
																					    ("""This is a simple pair 1""", """This is a simple pair 2"""),
																					]

																					# Simple input tests
																					try:
																											tokenizer_r.encode(_snake_case						,   max_length=_snake_case    )
																											tokenizer_r.encode_plus(_snake_case						,   max_length=_snake_case    )

																											tokenizer_r.batch_encode_plus(_snake_case						,   max_length=_snake_case    )
																											tokenizer_r.encode(_snake_case						,   max_length=_snake_case    )
																											tokenizer_r.batch_encode_plus(_snake_case						,   max_length=_snake_case    )
																					except ValueError:
																											self.fail("""Bloom Tokenizer should be able to deal with padding"""    )

																					UpperCamelCase				:		List[str]				   =			None  # Hotfixing padding = None
																					self.assertRaises(_snake_case						,   tokenizer_r.encode						,   _snake_case						,   max_length=_snake_case						,   padding="""max_length"""    )

																					# Simple input
																					self.assertRaises(_snake_case						,   tokenizer_r.encode_plus						,   _snake_case						,   max_length=_snake_case						,   padding="""max_length"""    )

																					# Simple input
																					self.assertRaises(
																					    _snake_case						,   tokenizer_r.batch_encode_plus						,   _snake_case						,   max_length=_snake_case						,   padding="""max_length"""						,   )

																					# Pair input
																					self.assertRaises(_snake_case						,   tokenizer_r.encode						,   _snake_case						,   max_length=_snake_case						,   padding="""max_length"""    )

																					# Pair input
																					self.assertRaises(_snake_case						,   tokenizer_r.encode_plus						,   _snake_case						,   max_length=_snake_case						,   padding="""max_length"""    )

																					# Pair input
																					self.assertRaises(
																					    _snake_case						,   tokenizer_r.batch_encode_plus						,   _snake_case						,   max_length=_snake_case						,   padding="""max_length"""						,   )







			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		Optional[Any]				   =			self.get_rust_tokenizer()
									UpperCamelCase				:		int				   =			load_dataset("""xnli"""						,   """all_languages"""						,   split="""test"""						,   streaming=_snake_case    )

									UpperCamelCase				:		Dict				   =			next(iter(_snake_case    )    )["""premise"""]  # pick up one data
									UpperCamelCase				:		Optional[Any]				   =			list(sample_data.values()    )

									UpperCamelCase				:		Union[str, Any]				   =			list(map(tokenizer.encode						,   _snake_case    )    )
									UpperCamelCase				:		Optional[int]				   =			[tokenizer.decode(_snake_case						,   clean_up_tokenization_spaces=_snake_case    ) for x in output_tokens]
									self.assertListEqual(_snake_case						,   _snake_case    )







			def   _a      (      self    ):






									'''simple docstring'''







									self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map    )						,   1    )
									self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()    )[0]    )						,   1    )








from __future__ import annotations

from fractions import Fraction


def A    (							__UpperCamelCase			,						__UpperCamelCase       )    ->   bool:
			return (
			    num != den and num % 10 == den // 10 and (num // 10) / (den % 10) == num / den
			)


def A    (							__UpperCamelCase       )    ->   list[str]:
			A__	  =     []
			A__	  =     11
			A__	  =     int('1' + '0' * digit_len       )
			for num in range(__UpperCamelCase			,						__UpperCamelCase       ):
						while den <= 99:
									if (num != den) and (num % 10 == den // 10) and (den % 10 != 0):
												if is_digit_cancelling(__UpperCamelCase			,						__UpperCamelCase       ):
															solutions.append(f'''{num}/{den}'''       )
									den += 1
						num += 1
						A__	  =     10
			return solutions


def A    (							__UpperCamelCase = 2       )    ->   int:
			A__	  =     1.0
			for fraction in fraction_list(__UpperCamelCase       ):
						A__	  =     Fraction(__UpperCamelCase       )
						result *= frac.denominator / frac.numerator
			return int(__UpperCamelCase       )


if __name__ == "__main__":
							print(solution())




