from collections import namedtuple

_SCREAMING_SNAKE_CASE:						Optional[int]    	=       namedtuple('''from_to''', '''from_ to''')

_SCREAMING_SNAKE_CASE:						str    	=       {
    '''atm''': from_to(1, 1),
    '''pascal''': from_to(0.0_000_098, 101_325),
    '''bar''': from_to(0.986_923, 1.01_325),
    '''kilopascal''': from_to(0.00_986_923, 101.325),
    '''megapascal''': from_to(9.86_923, 0.101_325),
    '''psi''': from_to(0.068_046, 14.6_959),
    '''inHg''': from_to(0.0_334_211, 29.9_213),
    '''torr''': from_to(0.00_131_579, 760),
}






def    UpperCAmelCase__(						lowerCamelCase_							,	lowerCamelCase_							,	lowerCamelCase_  ):



			"""simple docstring"""





			if from_type not in PRESSURE_CONVERSION:
						raise ValueError(
						    f'Invalid \'from_type\' value: {from_type!r}  Supported values are:\n'
						    + ", ".join(lowerCamelCase_  )  )
			if to_type not in PRESSURE_CONVERSION:
						raise ValueError(
						    f'Invalid \'to_type\' value: {to_type!r}.  Supported values are:\n'
						    + ", ".join(lowerCamelCase_  )  )
			return (
			    value * PRESSURE_CONVERSION[from_type].from_ * PRESSURE_CONVERSION[to_type].to
			)


if __name__ == "__main__":
			import doctest

			doctest.testmod()


import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property

class 	_SCREAMING_SNAKE_CASE							(     unittest.TestCase							):






		"""simple docstring"""







		@cached_property
		def 				_a				(			self    :				Tuple   ):






					"""simple docstring"""
					return BlenderbotTokenizer.from_pretrained("facebook/blenderbot-3B"   )



		@cached_property
		def 				_a				(			self    :				Tuple   ):






					"""simple docstring"""
					return BlenderbotTokenizerFast.from_pretrained("facebook/blenderbot-3B"   )



		def 				_a				(			self    :				Optional[Any]   ):






					"""simple docstring"""
					_snake_case              =      self.tokenizer_ab
					_snake_case              =      " I am a small frog."
					_snake_case              =      tok([src_text]  ,					padding=__SCREAMING_SNAKE_CASE  ,					truncation=__SCREAMING_SNAKE_CASE   )["input_ids"]
					_snake_case              =      tok.batch_decode(__SCREAMING_SNAKE_CASE  ,					skip_special_tokens=__SCREAMING_SNAKE_CASE  ,					clean_up_tokenization_spaces=__SCREAMING_SNAKE_CASE   )[0]
					assert src_text == decoded



		def 				_a				(			self    :				str   ):






					"""simple docstring"""
					_snake_case              =      self.rust_tokenizer_ab
					_snake_case              =      " I am a small frog."
					_snake_case              =      tok([src_text]  ,					padding=__SCREAMING_SNAKE_CASE  ,					truncation=__SCREAMING_SNAKE_CASE   )["input_ids"]
					_snake_case              =      tok.batch_decode(__SCREAMING_SNAKE_CASE  ,					skip_special_tokens=__SCREAMING_SNAKE_CASE  ,					clean_up_tokenization_spaces=__SCREAMING_SNAKE_CASE   )[0]
					assert src_text == decoded



		def 				_a				(			self    :				Optional[Any]   ):






					"""simple docstring"""
					assert self.tokenizer_ab.add_prefix_space
					assert self.tokenizer_ab([" Sam", "Sam"]   ).input_ids == [[5_502, 2], [5_502, 2]]







		def 				_a				(			self    :				str   ):






					"""simple docstring"""
					assert self.rust_tokenizer_ab.add_prefix_space
					assert self.rust_tokenizer_ab([" Sam", "Sam"]   ).input_ids == [[5_502, 2], [5_502, 2]]

