


"""simple docstring"""


from random import randint, random



def 	snake_case    (					_a:  Dict		, _a:  Optional[Any]		, _a:  Tuple		, _a:  Any = False		, _a:  int = False		, _a:  Tuple = 5		, )->		list:
      '''simple docstring'''


      lowerCamelCase__							     =		[[-1] * number_of_cells]  # Create a highway without any car
      lowerCamelCase__							     =		0
      lowerCamelCase__							     =		max(_lowerCAmelCase		, 0				)
      while i < number_of_cells:
            lowerCamelCase__							     =		(
                randint(0		, _lowerCAmelCase				) 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 	snake_case    (					_a:  Dict		, _a:  Any				)->		int:
      '''simple docstring'''


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



def 	snake_case    (					_a:  Dict		, _a:  str		, _a:  str				)->		list:
      '''simple docstring'''


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

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



def 	snake_case    (					_a:  Tuple		, _a:  int		, _a:  int		, _a:  List[Any]				)->		list:
      '''simple docstring'''


      lowerCamelCase__							     =		len(highway[0]				)

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

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

      return highway


if __name__ == "__main__":
   import doctest

   doctest.testmod()








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_UpperCamelCase											=		{
    'configuration_bridgetower': [
        'BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BridgeTowerConfig',
        'BridgeTowerTextConfig',
        'BridgeTowerVisionConfig',
    ],
    'processing_bridgetower': ['BridgeTowerProcessor'],
}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCamelCase											=		['BridgeTowerImageProcessor']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCamelCase											=		[
       'BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST',
       'BridgeTowerForContrastiveLearning',
       'BridgeTowerForImageAndTextRetrieval',
       'BridgeTowerForMaskedLM',
       'BridgeTowerModel',
       'BridgeTowerPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_bridgetower import (
       BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       BridgeTowerConfig,
       BridgeTowerTextConfig,
       BridgeTowerVisionConfig,
   )
   from .processing_bridgetower import BridgeTowerProcessor

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_bridgetower import BridgeTowerImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_bridgetower import (
          BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
          BridgeTowerForContrastiveLearning,
          BridgeTowerForImageAndTextRetrieval,
          BridgeTowerForMaskedLM,
          BridgeTowerModel,
          BridgeTowerPreTrainedModel,
      )


else:
   import sys

   _UpperCamelCase											=		_LazyModule(__name__, globals()['__file__'], _import_structure)






