





from random import randint, random

def     __A      (			a_						:int   ,       a_						:int   ,       a_						:int   ,       a_						:bool = False   ,       a_						:bool = False   ,       a_						:int = 5   ,       )		->		list:
				__a :						Any			       =  [[-1] * number_of_cells]  # Create a highway without any car
				__a :						Optional[Any]			       =  0
				__a :						Dict			       =  max(a_   ,       0)
				while i < number_of_cells:
								__a :						str			       =  (
								    randint(0   ,       a_) 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     __A      (			a_						:list   ,       a_						:int)		->		int:
				__a :						str			       =  0
				__a :						Union[str, Any]			       =  highway_now[car_index + 1 :]
				for cell in range(len(a_)):  # 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(a_   ,       -1)

def     __A      (			a_						:list   ,       a_						:float   ,       a_						:int)		->		list:
				__a :						List[str]			       =  len(a_)
				# Beforce calculations, the highway is empty
				__a :						Dict			       =  [-1] * number_of_cells

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

def     __A      (			a_						:list   ,       a_						:int   ,       a_						:float   ,       a_						:int)		->		list:
				__a :						List[Any]			       =  len(highway[0])

				for i in range(a_):
								__a :						int			       =  update(highway[i]   ,       a_   ,       a_)
								__a :						int			       =  [-1] * number_of_cells

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

				return highway


if __name__ == "__main__":
		import doctest

		doctest.testmod()






"""simple docstring"""






import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


A 			=  logging.get_logger(__name__)

A 			=  {
    '''microsoft/git-base''': '''https://huggingface.co/microsoft/git-base/resolve/main/config.json''',
}




class 				__lowercase			(			_UpperCamelCase							):







					'''simple docstring'''




					__lowerCAmelCase  =  '''git_vision_model'''







					def __init__(						self	,			_UpperCAmelCase=768	,			_UpperCAmelCase=3072	,			_UpperCAmelCase=12	,			_UpperCAmelCase=12	,			_UpperCAmelCase=3	,			_UpperCAmelCase=224	,			_UpperCAmelCase=16	,			_UpperCAmelCase="quick_gelu"	,			_UpperCAmelCase=1e-5	,			_UpperCAmelCase=0.0	,			_UpperCAmelCase=0.0_2	,			**_UpperCAmelCase	,			):
									super().__init__(**_UpperCAmelCase     )

									__a :						Union[str, Any]			       =  hidden_size
									__a :						Optional[int]			       =  intermediate_size
									__a :						Tuple			       =  num_hidden_layers
									__a :						Tuple			       =  num_attention_heads
									__a :						Optional[int]			       =  num_channels
									__a :						Tuple			       =  patch_size
									__a :						Any			       =  image_size
									__a :						Optional[Any]			       =  initializer_range
									__a :						Optional[int]			       =  attention_dropout
									__a :						Any			       =  layer_norm_eps
									__a :						Dict			       =  hidden_act







					@classmethod
					def  _lowerCamelCase		(						cls	,			_UpperCAmelCase	,			**_UpperCAmelCase     ):
									cls._set_token_in_kwargs(_UpperCAmelCase     )

									__a       ,						__a :						Dict			       =  cls.get_config_dict(_UpperCAmelCase	,			**_UpperCAmelCase     )

									# get the vision config dict if we are loading from GITConfig
									if config_dict.get('''model_type'''     ) == "git":
													__a :						int			       =  config_dict['''vision_config''']

									if "model_type" in config_dict and hasattr(cls	,			'''model_type'''     ) and config_dict["model_type"] != cls.model_type:
													logger.warning(
													    f"""You are using a model of type {config_dict["model_type"]} to instantiate a model of type """
													    f"""{cls.model_type}. This is not supported for all configurations of models and can yield errors."""     )

									return cls.from_dict(_UpperCAmelCase	,			**_UpperCAmelCase     )






class 				__lowercase			(			_UpperCamelCase							):







					'''simple docstring'''




					__lowerCAmelCase  =  '''git'''







					def __init__(						self	,			_UpperCAmelCase=None	,			_UpperCAmelCase=30522	,			_UpperCAmelCase=768	,			_UpperCAmelCase=6	,			_UpperCAmelCase=12	,			_UpperCAmelCase=3072	,			_UpperCAmelCase="gelu"	,			_UpperCAmelCase=0.1	,			_UpperCAmelCase=0.1	,			_UpperCAmelCase=1024	,			_UpperCAmelCase=0.0_2	,			_UpperCAmelCase=1e-1_2	,			_UpperCAmelCase=0	,			_UpperCAmelCase="absolute"	,			_UpperCAmelCase=True	,			_UpperCAmelCase=False	,			_UpperCAmelCase=101	,			_UpperCAmelCase=102	,			_UpperCAmelCase=None	,			**_UpperCAmelCase	,			):
									super().__init__(bos_token_id=_UpperCAmelCase	,			eos_token_id=_UpperCAmelCase	,			pad_token_id=_UpperCAmelCase	,			**_UpperCAmelCase     )

									if vision_config is None:
													__a :						Union[str, Any]			       =  {}
													logger.info('''vision_config is None. initializing the GitVisionConfig with default values.'''     )

									__a :						Union[str, Any]			       =  GitVisionConfig(**_UpperCAmelCase     )
									__a :						List[str]			       =  vocab_size
									__a :						Any			       =  hidden_size
									__a :						Dict			       =  num_hidden_layers
									__a :						Tuple			       =  num_attention_heads
									__a :						List[str]			       =  hidden_act
									__a :						Any			       =  intermediate_size
									__a :						int			       =  hidden_dropout_prob
									__a :						Dict			       =  attention_probs_dropout_prob
									__a :						Tuple			       =  max_position_embeddings
									__a :						int			       =  initializer_range
									__a :						List[str]			       =  layer_norm_eps
									__a :						Tuple			       =  position_embedding_type
									__a :						Optional[int]			       =  use_cache
									__a :						str			       =  tie_word_embeddings
									__a :						Optional[Any]			       =  num_image_with_embedding

									__a :						str			       =  bos_token_id
									__a :						Dict			       =  eos_token_id







					def  _lowerCamelCase		(						self     ):
									__a :						Optional[int]			       =  copy.deepcopy(self.__dict__     )
									__a :						int			       =  self.vision_config.to_dict()
									__a :						Tuple			       =  self.__class__.model_type
									return output