
def 						UpperCAmelCase			(	a_		,   a_						)		->	str:







				"""simple docstring"""



				__A   			= [[] for _ in range(a_						)]
				__A   			= key - 1

				if key <= 0:
								raise ValueError("Height of grid can't be 0 or negative"						)
				if key == 1 or len(a_						) <= key:
								return input_string

				for position, character in enumerate(a_						):
								__A   			= position % (lowest * 2)  # puts it in bounds
								__A   			= min(a_		,   lowest * 2 - num						)  # creates zigzag pattern
								temp_grid[num].append(a_						)
				__A   			= ["".join(a_						) for row in temp_grid]
				__A   			= "".join(a_						)

				return output_string


def 						UpperCAmelCase			(	a_		,   a_						)		->	str:







				"""simple docstring"""



				__A   			= []
				__A   			= key - 1

				if key <= 0:
								raise ValueError("Height of grid can't be 0 or negative"						)
				if key == 1:
								return input_string

				__A   			= [[] for _ in range(a_						)]  # generates template
				for position in range(len(a_						)						):
								__A   			= position % (lowest * 2)  # puts it in bounds
								__A   			= min(a_		,   lowest * 2 - num						)  # creates zigzag pattern
								temp_grid[num].append("*"						)

				__A   			= 0
				for row in temp_grid:  # fills in the characters
								__A   			= input_string[counter : counter + len(a_						)]
								grid.append(list(a_						)						)
								counter += len(a_						)

				__A   			= ""  # reads as zigzag
				for position in range(len(a_						)						):
								__A   			= position % (lowest * 2)  # puts it in bounds
								__A   			= min(a_		,   lowest * 2 - num						)  # creates zigzag pattern
								output_string += grid[num][0]
								grid[num].pop(0						)
				return output_string


def 						UpperCAmelCase			(	a_						)		->	dict[int, str]:







				"""simple docstring"""



				__A   			= {}
				for key_guess in range(1		,   len(a_						)						):  # tries every key
								__A   			= decrypt(a_		,   a_						)
				return results


if __name__ == "__main__":
					import doctest

					doctest.testmod()


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE							:Optional[Any]							 =				logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							:List[Any]							 =				{
    'hustvl/yolos-small': 'https://huggingface.co/hustvl/yolos-small/resolve/main/config.json',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     "yolos"






	def __init__(       self					: Any							,A					: Optional[Any]=7_68							,A					: Dict=12							,A					: Any=12							,A					: str=30_72							,A					: Any="gelu"							,A					: str=0.0							,A					: List[str]=0.0							,A					: Dict=0.02							,A					: int=1E-12							,A					: Tuple=[5_12, 8_64]							,A					: List[Any]=16							,A					: str=3							,A					: str=True							,A					: Any=1_00							,A					: Dict=True							,A					: Dict=False							,A					: Tuple=1							,A					: Union[str, Any]=5							,A					: Optional[Any]=2							,A					: Union[str, Any]=5							,A					: int=2							,A					: int=0.1							,**A					: List[str]							,):
					super().__init__(**A )

					__A   			= hidden_size
					__A   			= num_hidden_layers
					__A   			= num_attention_heads
					__A   			= intermediate_size
					__A   			= hidden_act
					__A   			= hidden_dropout_prob
					__A   			= attention_probs_dropout_prob
					__A   			= initializer_range
					__A   			= layer_norm_eps
					__A   			= image_size
					__A   			= patch_size
					__A   			= num_channels
					__A   			= qkv_bias
					__A   			= num_detection_tokens
					__A   			= use_mid_position_embeddings
					__A   			= auxiliary_loss
					# Hungarian matcher
					__A   			= class_cost
					__A   			= bbox_cost
					__A   			= giou_cost
					# Loss coefficients
					__A   			= bbox_loss_coefficient
					__A   			= giou_loss_coefficient
					__A   			= eos_coefficient





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     version.parse("1.11"  )






	@property
	def 				UpperCamelCase_  (       self					: str ):
					return OrderedDict(
					    [
					        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
					    ] )






	@property
	def 				UpperCamelCase_  (       self					: List[Any] ):
					return 1E-4







	@property
	def 				UpperCamelCase_  (       self					: Optional[Any] ):
					return 12
