





from random import randint, random





def   lowerCamelCase__       (       UpperCamelCase__     :    int    ,      UpperCamelCase__     :    int    ,      UpperCamelCase__     :    int    ,      UpperCamelCase__     :    bool = False    ,      UpperCamelCase__     :    bool = False    ,      UpperCamelCase__     :    int = 5    ,      )     ->	list:



					'''simple docstring'''




					_snake_case													=			[[-1] * number_of_cells]  # Create a highway without any car
					_snake_case													=			0
					_snake_case													=			max(UpperCamelCase__    ,      0  )
					while i < number_of_cells:
										_snake_case													=			(
										    randint(0    ,      UpperCamelCase__  ) 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   lowerCamelCase__       (       UpperCamelCase__     :    list    ,      UpperCamelCase__     :    int  )     ->	int:



					'''simple docstring'''




					_snake_case													=			0
					_snake_case													=			highway_now[car_index + 1 :]
					for cell in range(len(UpperCamelCase__  )  ):  # 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(UpperCamelCase__    ,      -1  )





def   lowerCamelCase__       (       UpperCamelCase__     :    list    ,      UpperCamelCase__     :    float    ,      UpperCamelCase__     :    int  )     ->	list:



					'''simple docstring'''




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

					for car_index in range(UpperCamelCase__  ):
										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    ,      UpperCamelCase__  )
															# Number of empty cell before the next car
															_snake_case													=			get_distance(UpperCamelCase__    ,      UpperCamelCase__  ) - 1
															# We can't have the car causing an accident
															_snake_case													=			min(next_highway[car_index]    ,      UpperCamelCase__  )
															if random() < probability:
																				# Randomly, a driver will slow down
																				_snake_case													=			max(next_highway[car_index] - 1    ,      0  )
					return next_highway





def   lowerCamelCase__       (       UpperCamelCase__     :    list    ,      UpperCamelCase__     :    int    ,      UpperCamelCase__     :    float    ,      UpperCamelCase__     :    int  )     ->	list:



					'''simple docstring'''




					_snake_case													=			len(highway[0]  )

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

										for car_index in range(UpperCamelCase__  ):
															_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(UpperCamelCase__  )

					return highway


if __name__ == "__main__":
					import doctest

					doctest.testmod()










import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


UpperCAmelCase_ 							=       logging.get_logger(__name__)
class      UpperCamelCase_						(					_lowerCamelCase   ):




					def __init__(						self			,  *lowerCAmelCase_			,  **lowerCAmelCase_					)						->							None:
										warnings.warn(
										    'The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
										    ' use FlavaImageProcessor instead.'			,  lowerCAmelCase_			,  )
										super().__init__(*lowerCAmelCase_			,  **lowerCAmelCase_					)



