


import unittest

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



class      snake_case__	(   unittest.TestCase	):
				@cached_property
				def 			UpperCamelCase_    (	self   ):




										"""simple docstring"""




										return BlenderbotTokenizer.from_pretrained('facebook/blenderbot-3B'   )
				@cached_property
				def 			UpperCamelCase_    (	self   ):




										"""simple docstring"""




										return BlenderbotTokenizerFast.from_pretrained('facebook/blenderbot-3B'   )
				def 			UpperCamelCase_    (	self   ):




										"""simple docstring"""




										__magic_name__					:				Union[str, Any]				=   self.tokenizer_ab
										__magic_name__					:				List[str]				=   ' I am a small frog.'
										__magic_name__					:				Tuple				=   tok([src_text]  ,   padding=_UpperCAmelCase  ,   truncation=_UpperCAmelCase   )['input_ids']
										__magic_name__					:				Dict				=   tok.batch_decode(_UpperCAmelCase  ,   skip_special_tokens=_UpperCAmelCase  ,   clean_up_tokenization_spaces=_UpperCAmelCase   )[0]
										assert src_text == decoded
				def 			UpperCamelCase_    (	self   ):




										"""simple docstring"""




										__magic_name__					:				Tuple				=   self.rust_tokenizer_ab
										__magic_name__					:				List[str]				=   ' I am a small frog.'
										__magic_name__					:				Optional[Any]				=   tok([src_text]  ,   padding=_UpperCAmelCase  ,   truncation=_UpperCAmelCase   )['input_ids']
										__magic_name__					:				Any				=   tok.batch_decode(_UpperCAmelCase  ,   skip_special_tokens=_UpperCAmelCase  ,   clean_up_tokenization_spaces=_UpperCAmelCase   )[0]
										assert src_text == decoded
				def 			UpperCamelCase_    (	self   ):




										"""simple docstring"""




										assert self.tokenizer_ab.add_prefix_space
										assert self.tokenizer_ab([' Sam', 'Sam']   ).input_ids == [[5502, 2], [5502, 2]]





				def 			UpperCamelCase_    (	self   ):




										"""simple docstring"""




										assert self.rust_tokenizer_ab.add_prefix_space
										assert self.rust_tokenizer_ab([' Sam', 'Sam']   ).input_ids == [[5502, 2], [5502, 2]]






from __future__ import annotations

from collections.abc import Callable
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:Callable[[int | float], int | float]   ,    lowercase__	:int | float   ,    lowercase__	:int | float   ,    lowercase__	:int = 1_0_0   ,    )							->	float:
						__magic_name__					:				str				=   x_start
						__magic_name__					:				str				=   fnc(lowercase__					)
						__magic_name__					:				Union[str, Any]				=   0.0

						for _ in range(lowercase__					):
												# Approximates small segments of curve as linear and solve
												# for trapezoidal area
												__magic_name__					:				Optional[int]				=   (x_end - x_start) / steps + xa
												__magic_name__					:				List[Any]				=   fnc(lowercase__					)
												area += abs(fxa + fxa					) * (xa - xa) / 2

												# Increment step
												__magic_name__					:				Optional[Any]				=   xa
												__magic_name__					:				Union[str, Any]				=   fxa
						return area


if __name__ == "__main__":
			def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:Dict					)							->	Optional[int]:
									return x**3

			print('f(x) = x^3')
			print('The area between the curve, x = -10, x = 10 and the x axis is:')
			snake_case__  				=			10
			while i <= 10_0000:
						snake_case__  				=			trapezoidal_area(f, -5, 5, i)
						print(F"""with {i} steps: {area}""")
						i *= 10


