



'''simple docstring'''





import copy
import os
from typing import TYPE_CHECKING, List, Union


if TYPE_CHECKING:
							pass

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


lowercase_								=     logging.get_logger(__name__)

lowercase_								=     {
    """kakaobrain/align-base""": """https://huggingface.co/kakaobrain/align-base/resolve/main/config.json""",
}
class 				_snake_case			(					snake_case_):
				UpperCamelCase__				:					Optional[Any]     		="""align_text_model"""




				def __init__(						self					:						Dict,					__lowercase					:						Optional[Any]=3_0522,					__lowercase					:						str=768,					__lowercase					:						Any=12,					__lowercase					:						Optional[Any]=12,					__lowercase					:						Dict=3072,					__lowercase					:						List[Any]="gelu",					__lowercase					:						Union[str, Any]=0.1,					__lowercase					:						Dict=0.1,					__lowercase					:						List[Any]=512,					__lowercase					:						str=2,					__lowercase					:						Dict=0.02,					__lowercase					:						str=1e-1_2,					__lowercase					:						List[Any]=0,					__lowercase					:						List[Any]="absolute",					__lowercase					:						int=True,					**__lowercase					:						Optional[Any],					):
							super().__init__(**__lowercase						)

							lowercase__					  =				vocab_size
							lowercase__					  =				hidden_size
							lowercase__					  =				num_hidden_layers
							lowercase__					  =				num_attention_heads
							lowercase__					  =				hidden_act
							lowercase__					  =				intermediate_size
							lowercase__					  =				hidden_dropout_prob
							lowercase__					  =				attention_probs_dropout_prob
							lowercase__					  =				max_position_embeddings
							lowercase__					  =				type_vocab_size
							lowercase__					  =				initializer_range
							lowercase__					  =				layer_norm_eps
							lowercase__					  =				position_embedding_type
							lowercase__					  =				use_cache
							lowercase__					  =				pad_token_id




				@classmethod
				def 							A__      (						cls					:						int,					__lowercase					:						Optional[Any],					**__lowercase					:						Dict						):
							cls._set_token_in_kwargs(__lowercase						)

							lowercase__  ,       lowercase__					  =				cls.get_config_dict(__lowercase,					**__lowercase						)

							# get the text config dict if we are loading from AlignConfig
							if config_dict.get("model_type"						) == "align":
										lowercase__					  =				config_dict["text_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(__lowercase,					**__lowercase						)
class 				_snake_case			(					snake_case_):
				UpperCamelCase__				:					Dict     		="""align_vision_model"""




				def __init__(						self					:						Optional[int],					__lowercase					:						List[str] = 3,					__lowercase					:						str = 600,					__lowercase					:						Optional[int] = 2.0,					__lowercase					:						Any = 3.1,					__lowercase					:						Any = 8,					__lowercase					:						Any = [3, 3, 5, 3, 5, 5, 3],					__lowercase					:						Tuple = [32, 16, 24, 40, 80, 112, 192],					__lowercase					:						List[str] = [16, 24, 40, 80, 112, 192, 320],					__lowercase					:						int = [],					__lowercase					:						List[Any] = [1, 2, 2, 2, 1, 2, 1],					__lowercase					:						int = [1, 2, 2, 3, 3, 4, 1],					__lowercase					:						Any = [1, 6, 6, 6, 6, 6, 6],					__lowercase					:						Optional[Any] = 0.25,					__lowercase					:						int = "swish",					__lowercase					:						List[Any] = 2560,					__lowercase					:						Any = "mean",					__lowercase					:						int = 0.02,					__lowercase					:						Any = 0.001,					__lowercase					:						int = 0.99,					__lowercase					:						str = 0.2,					**__lowercase					:						List[Any],					):
							super().__init__(**__lowercase						)

							lowercase__					  =				num_channels
							lowercase__					  =				image_size
							lowercase__					  =				width_coefficient
							lowercase__					  =				depth_coefficient
							lowercase__					  =				depth_divisor
							lowercase__					  =				kernel_sizes
							lowercase__					  =				in_channels
							lowercase__					  =				out_channels
							lowercase__					  =				depthwise_padding
							lowercase__					  =				strides
							lowercase__					  =				num_block_repeats
							lowercase__					  =				expand_ratios
							lowercase__					  =				squeeze_expansion_ratio
							lowercase__					  =				hidden_act
							lowercase__					  =				hidden_dim
							lowercase__					  =				pooling_type
							lowercase__					  =				initializer_range
							lowercase__					  =				batch_norm_eps
							lowercase__					  =				batch_norm_momentum
							lowercase__					  =				drop_connect_rate
							lowercase__					  =				sum(__lowercase						) * 4




				@classmethod
				def 							A__      (						cls					:						str,					__lowercase					:						str,					**__lowercase					:						Optional[Any]						):
							cls._set_token_in_kwargs(__lowercase						)

							lowercase__  ,       lowercase__					  =				cls.get_config_dict(__lowercase,					**__lowercase						)

							# get the vision config dict if we are loading from AlignConfig
							if config_dict.get("model_type"						) == "align":
										lowercase__					  =				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(__lowercase,					**__lowercase						)
class 				_snake_case			(					snake_case_):
				UpperCamelCase__				:					str     		="""align"""
				UpperCamelCase__				:					List[Any]     		=True




				def __init__(						self					:						Optional[int],					__lowercase					:						Optional[Any]=None,					__lowercase					:						List[str]=None,					__lowercase					:						int=640,					__lowercase					:						Union[str, Any]=1.0,					__lowercase					:						List[Any]=0.02,					**__lowercase					:						List[Any],					):
							super().__init__(**__lowercase						)

							if text_config is None:
										lowercase__					  =				{}
										logger.info("text_config is None. Initializing the AlignTextConfig with default values."						)

							if vision_config is None:
										lowercase__					  =				{}
										logger.info("vision_config is None. Initializing the AlignVisionConfig with default values."						)

							lowercase__					  =				AlignTextConfig(**__lowercase						)
							lowercase__					  =				AlignVisionConfig(**__lowercase						)

							lowercase__					  =				projection_dim
							lowercase__					  =				temperature_init_value
							lowercase__					  =				initializer_range




				@classmethod
				def 							A__      (						cls					:						Dict,					__lowercase					:						List[str],					__lowercase					:						Union[str, Any],					**__lowercase					:						int						):
							return cls(text_config=text_config.to_dict(),					vision_config=vision_config.to_dict(),					**__lowercase						)




				def 							A__      (						self					:						Optional[Any]						):
							lowercase__					  =				copy.deepcopy(self.__dict__						)
							lowercase__					  =				self.text_config.to_dict()
							lowercase__					  =				self.vision_config.to_dict()
							lowercase__					  =				self.__class__.model_type
							return output









def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			lowercase__					  =				len(SCREAMING_SNAKE_CASE_  )
			for i in range(SCREAMING_SNAKE_CASE_  ):
						for j in range(i + 1						,  SCREAMING_SNAKE_CASE_  ):
									if numbers[j] < numbers[i]:
												lowercase__  ,       lowercase__					  =				numbers[j], numbers[i]
			return numbers


if __name__ == "__main__":
							lowercase_								=     input("""Enter numbers separated by a comma:\n""").strip()
							lowercase_								=     [int(item) for item in user_input.split(""",""")]
							print(exchange_sort(unsorted))




