




'''simple docstring'''





from random import randint, random


def      UpperCamelCase_(	snake_case							:       List[str]							,				snake_case							:       str							,				snake_case							:       List[str]							,				snake_case							:       Optional[Any] = False							,				snake_case							:       int = False							,				snake_case							:       Union[str, Any] = 5							,				):

							'''simple docstring'''






							snake_case_						=      [[-1] * number_of_cells]  # Create a highway without any car
							snake_case_						=      0
							snake_case_						=      max(__snake_case							,				0     )
							while i < number_of_cells:
														snake_case_						=      (
														    randint(0							,				__snake_case     ) if random_speed else initial_speed
														)  # Place the cars
														i += (
														    randint(1							,				max_speed * 2     ) if random_frequency else frequency
														)  # Arbitrary number, may need tuning
							return highway


def      UpperCamelCase_(	snake_case							:       List[Any]							,				snake_case							:       Union[str, Any]     ):

							'''simple docstring'''






							snake_case_						=      0
							snake_case_						=      highway_now[car_index + 1 :]
							for cell in range(len(__snake_case     )     ):  # May need a better name for this
														if cells[cell] != -1:  # If the cell is not empty then
																					return distance  # we have the distance we wanted
														distance += 1
							# Here if the car is near the end of the highway
							return distance + get_distance(__snake_case							,				-1     )


def      UpperCamelCase_(	snake_case							:       Union[str, Any]							,				snake_case							:       List[str]							,				snake_case							:       int     ):

							'''simple docstring'''






							snake_case_						=      len(__snake_case     )
							# Beforce calculations, the highway is empty
							snake_case_						=      [-1] * number_of_cells

							for car_index in range(__snake_case     ):
														if highway_now[car_index] != -1:
																					# Add 1 to the current speed of the car and cap the speed
																					snake_case_						=      min(highway_now[car_index] + 1							,				__snake_case     )
																					# Number of empty cell before the next car
																					snake_case_						=      get_distance(__snake_case							,				__snake_case     ) - 1
																					# We can't have the car causing an accident
																					snake_case_						=      min(next_highway[car_index]							,				__snake_case     )
																					if random() < probability:
																												# Randomly, a driver will slow down
																												snake_case_						=      max(next_highway[car_index] - 1							,				0     )
							return next_highway


def      UpperCamelCase_(	snake_case							:       Optional[int]							,				snake_case							:       Dict							,				snake_case							:       Union[str, Any]							,				snake_case							:       Union[str, Any]     ):

							'''simple docstring'''






							snake_case_						=      len(highway[0]     )

							for i in range(__snake_case     ):
														snake_case_						=      update(highway[i]							,				__snake_case							,				__snake_case     )
														snake_case_						=      [-1] * number_of_cells

														for car_index in range(__snake_case     ):
																					snake_case_						=      next_speeds_calculated[car_index]
																					if speed != -1:
																												# Change the position based on the speed (with % to create the loop)
																												snake_case_						=      (car_index + speed) % number_of_cells
																												# Commit the change of position
																												snake_case_						=      speed
														highway.append(__snake_case     )

							return highway


if __name__ == "__main__":
		import doctest

		doctest.testmod()











import numpy as np

from transformers import Pipeline





def lowerCAmelCase__(__snake_case							)				->      Tuple:







	'''simple docstring'''







	lowerCamelCase__								=		np.max(__snake_case       ,axis=-1       ,keepdims=__snake_case							)
	lowerCamelCase__								=		np.exp(outputs - maxes							)
	return shifted_exp / shifted_exp.sum(axis=-1       ,keepdims=__snake_case							)






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			def 		__lowerCamelCase				(    self       ,  **__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		{}
				if "second_text" in kwargs:
					lowerCamelCase__								=		kwargs['''second_text''']
				return preprocess_kwargs, {}, {}





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase=None							):



				'''simple docstring'''







				return self.tokenizer(__lowerCAmelCase       ,  text_pair=__lowerCAmelCase       ,  return_tensors=self.framework							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				return self.model(**__lowerCAmelCase							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		model_outputs.logits[0].numpy()
				lowerCamelCase__								=		softmax(__lowerCAmelCase							)

				lowerCamelCase__								=		np.argmax(__lowerCAmelCase							)
				lowerCamelCase__								=		self.model.config.idalabel[best_class]
				lowerCamelCase__								=		probabilities[best_class].item()
				lowerCamelCase__								=		logits.tolist()
				return {"label": label, "score": score, "logits": logits}



