




"""simple docstring"""


from random import randint, random


def       UpperCAmelCase__ (snake_case__							:      int	,     snake_case__							:      int	,     snake_case__							:      int	,     snake_case__							:      bool = False	,     snake_case__							:      bool = False	,     snake_case__							:      int = 5	,     ):
  """simple docstring"""

  _snake_case							:	Dict			=						[[-1] * number_of_cells]  # Create a highway without any car
  _snake_case							:	List[Any]			=						0
  _snake_case							:	Any			=						max(snake_case__	,     0					)
  while i < number_of_cells:
    _snake_case							:	Optional[int]			=						(
        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	,     snake_case__							:      int					):
  """simple docstring"""

  _snake_case							:	Optional[int]			=						0
  _snake_case							:	Dict			=						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__							:      list	,     snake_case__							:      float	,     snake_case__							:      int					):
  """simple docstring"""

  _snake_case							:	Tuple			=						len(snake_case__					)
  # Beforce calculations, the highway is empty
  _snake_case							:	Optional[int]			=						[-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							:	Tuple			=						min(highway_now[car_index] + 1	,     snake_case__					)
      # Number of empty cell before the next car
      _snake_case							:	Union[str, Any]			=						get_distance(snake_case__	,     snake_case__					) - 1
      # We can't have the car causing an accident
      _snake_case							:	List[Any]			=						min(next_highway[car_index]	,     snake_case__					)
      if random() < probability:
        # Randomly, a driver will slow down
        _snake_case							:	int			=						max(next_highway[car_index] - 1	,     0					)
  return next_highway


def       UpperCAmelCase__ (snake_case__							:      list	,     snake_case__							:      int	,     snake_case__							:      float	,     snake_case__							:      int					):
  """simple docstring"""

  _snake_case							:	str			=						len(highway[0]					)

  for i in range(snake_case__					):
    _snake_case							:	List[Any]			=						update(highway[i]	,     snake_case__	,     snake_case__					)
    _snake_case							:	Optional[int]			=						[-1] * number_of_cells

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

  return highway


if __name__ == "__main__":
     import doctest

     doctest.testmod()








"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


A_      			=       {
    '''configuration_owlvit''': [
        '''OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''OwlViTConfig''',
        '''OwlViTOnnxConfig''',
        '''OwlViTTextConfig''',
        '''OwlViTVisionConfig''',
    ],
    '''processing_owlvit''': ['''OwlViTProcessor'''],
}


try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A_      			=       ['''OwlViTFeatureExtractor''']
     A_      			=       ['''OwlViTImageProcessor''']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A_      			=       [
         '''OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''OwlViTModel''',
         '''OwlViTPreTrainedModel''',
         '''OwlViTTextModel''',
         '''OwlViTVisionModel''',
         '''OwlViTForObjectDetection''',
     ]

if TYPE_CHECKING:
     from .configuration_owlvit import (
         OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
         OwlViTConfig,
         OwlViTOnnxConfig,
         OwlViTTextConfig,
         OwlViTVisionConfig,
     )
     from .processing_owlvit import OwlViTProcessor

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_owlvit import OwlViTFeatureExtractor
          from .image_processing_owlvit import OwlViTImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_owlvit import (
              OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              OwlViTForObjectDetection,
              OwlViTModel,
              OwlViTPreTrainedModel,
              OwlViTTextModel,
              OwlViTVisionModel,
          )

else:
     import sys

     A_      			=       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


