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


if TYPE_CHECKING:
	pass

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


_UpperCAmelCase            =		logging.get_logger(__name__)

_UpperCAmelCase            =		{
    """kakaobrain/align-base""": """https://huggingface.co/kakaobrain/align-base/resolve/main/config.json""",
}





class UpperCAmelCase						( __A  ):


				'''simple docstring'''






				lowerCamelCase_    = '''align_text_model'''
				def __init__(						self		,     lowercase=3_0_5_2_2		,     lowercase=7_6_8		,     lowercase=1_2		,     lowercase=1_2		,     lowercase=3_0_7_2		,     lowercase="gelu"		,     lowercase=0.1		,     lowercase=0.1		,     lowercase=5_1_2		,     lowercase=2		,     lowercase=0.02		,     lowercase=1E-12		,     lowercase=0		,     lowercase="absolute"		,     lowercase=True		,     **lowercase		,     ):



						"""simple docstring"""





						super().__init__(**lowercase )

						A_		:    Any         =				vocab_size
						A_		:    List[str]         =				hidden_size
						A_		:    Optional[int]         =				num_hidden_layers
						A_		:    Optional[int]         =				num_attention_heads
						A_		:    int         =				hidden_act
						A_		:    Tuple         =				intermediate_size
						A_		:    List[str]         =				hidden_dropout_prob
						A_		:    Tuple         =				attention_probs_dropout_prob
						A_		:    Dict         =				max_position_embeddings
						A_		:    Dict         =				type_vocab_size
						A_		:    List[str]         =				initializer_range
						A_		:    Tuple         =				layer_norm_eps
						A_		:    str         =				position_embedding_type
						A_		:    Any         =				use_cache
						A_		:    Dict         =				pad_token_id







				@classmethod
				def   lowerCAmelCase_       (						cls		,     lowercase		,     **lowercase ):



						"""simple docstring"""





						cls._set_token_in_kwargs(lowercase )

						A_       ,      A_		:    Union[str, Any]         =				cls.get_config_dict(lowercase		,     **lowercase )

						# get the text config dict if we are loading from AlignConfig
						if config_dict.get('model_type' ) == "align":
								A_		:    int         =				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 UpperCAmelCase						( __A  ):


				'''simple docstring'''






				lowerCamelCase_    = '''align_vision_model'''
				def __init__(						self		,     lowercase = 3		,     lowercase = 6_0_0		,     lowercase = 2.0		,     lowercase = 3.1		,     lowercase = 8		,     lowercase = [3, 3, 5, 3, 5, 5, 3]		,     lowercase = [3_2, 1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2]		,     lowercase = [1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2, 3_2_0]		,     lowercase = []		,     lowercase = [1, 2, 2, 2, 1, 2, 1]		,     lowercase = [1, 2, 2, 3, 3, 4, 1]		,     lowercase = [1, 6, 6, 6, 6, 6, 6]		,     lowercase = 0.25		,     lowercase = "swish"		,     lowercase = 2_5_6_0		,     lowercase = "mean"		,     lowercase = 0.02		,     lowercase = 0.001		,     lowercase = 0.99		,     lowercase = 0.2		,     **lowercase		,     ):



						"""simple docstring"""





						super().__init__(**lowercase )

						A_		:    Union[str, Any]         =				num_channels
						A_		:    List[Any]         =				image_size
						A_		:    Dict         =				width_coefficient
						A_		:    Optional[int]         =				depth_coefficient
						A_		:    Dict         =				depth_divisor
						A_		:    str         =				kernel_sizes
						A_		:    int         =				in_channels
						A_		:    int         =				out_channels
						A_		:    Any         =				depthwise_padding
						A_		:    int         =				strides
						A_		:    List[Any]         =				num_block_repeats
						A_		:    int         =				expand_ratios
						A_		:    Optional[Any]         =				squeeze_expansion_ratio
						A_		:    Union[str, Any]         =				hidden_act
						A_		:    List[Any]         =				hidden_dim
						A_		:    List[Any]         =				pooling_type
						A_		:    Optional[Any]         =				initializer_range
						A_		:    Tuple         =				batch_norm_eps
						A_		:    List[Any]         =				batch_norm_momentum
						A_		:    Optional[int]         =				drop_connect_rate
						A_		:    Optional[int]         =				sum(lowercase ) * 4







				@classmethod
				def   lowerCAmelCase_       (						cls		,     lowercase		,     **lowercase ):



						"""simple docstring"""





						cls._set_token_in_kwargs(lowercase )

						A_       ,      A_		:    Any         =				cls.get_config_dict(lowercase		,     **lowercase )

						# get the vision config dict if we are loading from AlignConfig
						if config_dict.get('model_type' ) == "align":
								A_		:    Optional[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(lowercase		,     **lowercase )





class UpperCAmelCase						( __A  ):


				'''simple docstring'''






				lowerCamelCase_    = '''align'''
				lowerCamelCase_    = True
				def __init__(						self		,     lowercase=None		,     lowercase=None		,     lowercase=6_4_0		,     lowercase=1.0		,     lowercase=0.02		,     **lowercase		,     ):



						"""simple docstring"""





						super().__init__(**lowercase )

						if text_config is None:
								A_		:    Optional[int]         =				{}
								logger.info('text_config is None. Initializing the AlignTextConfig with default values.' )

						if vision_config is None:
								A_		:    int         =				{}
								logger.info('vision_config is None. Initializing the AlignVisionConfig with default values.' )

						A_		:    Union[str, Any]         =				AlignTextConfig(**lowercase )
						A_		:    Tuple         =				AlignVisionConfig(**lowercase )

						A_		:    List[Any]         =				projection_dim
						A_		:    Optional[int]         =				temperature_init_value
						A_		:    int         =				initializer_range
				@classmethod
				def   lowerCAmelCase_       (						cls		,     lowercase		,     lowercase		,     **lowercase ):



						"""simple docstring"""





						return cls(text_config=text_config.to_dict()		,     vision_config=vision_config.to_dict()		,     **lowercase )







				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    str         =				copy.deepcopy(self.__dict__ )
						A_		:    Tuple         =				self.text_config.to_dict()
						A_		:    Tuple         =				self.vision_config.to_dict()
						A_		:    Optional[int]         =				self.__class__.model_type
						return output







import math




def     UpperCamelCase						(	__lowercase						:			int = 1_00     ):
		'''simple docstring'''




		A_		:    List[Any]         =				sum(i * i for i in range(1						,n + 1     )     )
		A_		:    int         =				int(math.pow(sum(range(1						,n + 1     )     )						,2     )     )
		return square_of_sum - sum_of_squares


if __name__ == "__main__":
	print(F"""{solution() = }""")






