
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__		:Dict			  =   logging.get_logger(__name__)

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







class     lowercase		( lowerCamelCase_		):
							lowercase_	:	str	 ="""align_text_model"""




							def __init__(    self       ,A__=3_0_5_2_2       ,A__=7_6_8       ,A__=1_2       ,A__=1_2       ,A__=3_0_7_2       ,A__="gelu"       ,A__=0.1       ,A__=0.1       ,A__=5_1_2       ,A__=2       ,A__=0.02       ,A__=1E-12       ,A__=0       ,A__="absolute"       ,A__=True       ,**A__       ,):
												super().__init__(**_UpperCAmelCase)

												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       ,A__       ,**A__):
												cls._set_token_in_kwargs(_UpperCAmelCase)

												lowercase     ,						lowercase						     =						cls.get_config_dict(_UpperCAmelCase       ,**_UpperCAmelCase)

												# 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(_UpperCAmelCase       ,**_UpperCAmelCase)







class     lowercase		( lowerCamelCase_		):
							lowercase_	:	Optional[Any]	 ="""align_vision_model"""




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

												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(_UpperCAmelCase) * 4





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

												lowercase     ,						lowercase						     =						cls.get_config_dict(_UpperCAmelCase       ,**_UpperCAmelCase)

												# 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(_UpperCAmelCase       ,**_UpperCAmelCase)







class     lowercase		( lowerCamelCase_		):
							lowercase_	:	int	 ="""align"""
							lowercase_	:	Union[str, Any]	 =True




							def __init__(    self       ,A__=None       ,A__=None       ,A__=6_4_0       ,A__=1.0       ,A__=0.02       ,**A__       ,):
												super().__init__(**_UpperCAmelCase)

												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(**_UpperCAmelCase)
												lowercase						     =						AlignVisionConfig(**_UpperCAmelCase)

												lowercase						     =						projection_dim
												lowercase						     =						temperature_init_value
												lowercase						     =						initializer_range




							@classmethod
							def 			A__				(    cls       ,A__       ,A__       ,**A__):
												return cls(text_config=text_config.to_dict()       ,vision_config=vision_config.to_dict()       ,**_UpperCAmelCase)





							def 			A__				(    self):
												lowercase						     =						copy.deepcopy(self.__dict__)
												lowercase						     =						self.text_config.to_dict()
												lowercase						     =						self.vision_config.to_dict()
												lowercase						     =						self.__class__.model_type
												return output







from __future__ import annotations

from decimal import Decimal

from numpy import array



def 	UpperCamelCase   (							lowerCAmelCase__		):
					'''simple docstring'''
					lowercase						     =						Decimal

					# Check if the provided matrix has 2 rows and 2 columns
					# since this implementation only works for 2x2 matrices
					if len(lowerCAmelCase__		) == 2 and len(matrix[0]		) == 2 and len(matrix[1]		) == 2:
										# Calculate the determinant of the matrix
										lowercase						     =						float(
										    d(matrix[0][0]		) * d(matrix[1][1]		) - d(matrix[1][0]		) * d(matrix[0][1]		)		)
										if determinant == 0:
															raise ValueError('''This matrix has no inverse.'''		)

										# Creates a copy of the matrix with swapped positions of the elements
										lowercase						     =						[[0.0, 0.0], [0.0, 0.0]]
										lowercase     ,						lowercase						     =						matrix[1][1], matrix[0][0]
										lowercase     ,						lowercase						     =						-matrix[1][0], -matrix[0][1]

										# Calculate the inverse of the matrix
										return [
										    [(float(d(lowerCAmelCase__		)		) / determinant) or 0.0 for n in row] for row in swapped_matrix
										]
					elif (
					    len(lowerCAmelCase__		) == 3
					    and len(matrix[0]		) == 3
					    and len(matrix[1]		) == 3
					    and len(matrix[2]		) == 3
					):
										# Calculate the determinant of the matrix using Sarrus rule
										lowercase						     =						float(
										    (
										        (d(matrix[0][0]		) * d(matrix[1][1]		) * d(matrix[2][2]		))
										        + (d(matrix[0][1]		) * d(matrix[1][2]		) * d(matrix[2][0]		))
										        + (d(matrix[0][2]		) * d(matrix[1][0]		) * d(matrix[2][1]		))
										    )
										    - (
										        (d(matrix[0][2]		) * d(matrix[1][1]		) * d(matrix[2][0]		))
										        + (d(matrix[0][1]		) * d(matrix[1][0]		) * d(matrix[2][2]		))
										        + (d(matrix[0][0]		) * d(matrix[1][2]		) * d(matrix[2][1]		))
										    )		)
										if determinant == 0:
															raise ValueError('''This matrix has no inverse.'''		)

										# Creating cofactor matrix
										lowercase						     =						[
										    [d(0.0		), d(0.0		), d(0.0		)],
										    [d(0.0		), d(0.0		), d(0.0		)],
										    [d(0.0		), d(0.0		), d(0.0		)],
										]
										lowercase						     =						(d(matrix[1][1]		) * d(matrix[2][2]		)) - (
										    d(matrix[1][2]		) * d(matrix[2][1]		)
										)
										lowercase						     =						-(
										    (d(matrix[1][0]		) * d(matrix[2][2]		)) - (d(matrix[1][2]		) * d(matrix[2][0]		))
										)
										lowercase						     =						(d(matrix[1][0]		) * d(matrix[2][1]		)) - (
										    d(matrix[1][1]		) * d(matrix[2][0]		)
										)
										lowercase						     =						-(
										    (d(matrix[0][1]		) * d(matrix[2][2]		)) - (d(matrix[0][2]		) * d(matrix[2][1]		))
										)
										lowercase						     =						(d(matrix[0][0]		) * d(matrix[2][2]		)) - (
										    d(matrix[0][2]		) * d(matrix[2][0]		)
										)
										lowercase						     =						-(
										    (d(matrix[0][0]		) * d(matrix[2][1]		)) - (d(matrix[0][1]		) * d(matrix[2][0]		))
										)
										lowercase						     =						(d(matrix[0][1]		) * d(matrix[1][2]		)) - (
										    d(matrix[0][2]		) * d(matrix[1][1]		)
										)
										lowercase						     =						-(
										    (d(matrix[0][0]		) * d(matrix[1][2]		)) - (d(matrix[0][2]		) * d(matrix[1][0]		))
										)
										lowercase						     =						(d(matrix[0][0]		) * d(matrix[1][1]		)) - (
										    d(matrix[0][1]		) * d(matrix[1][0]		)
										)

										# Transpose the cofactor matrix (Adjoint matrix)
										lowercase						     =						array(lowerCAmelCase__		)
										for i in range(3		):
															for j in range(3		):
																				lowercase						     =						cofactor_matrix[j][i]

        # Inverse of the matrix using the formula (1/determinant) * adjoint matrix
										lowercase						     =						array(lowerCAmelCase__		)
										for i in range(3		):
															for j in range(3		):
																				inverse_matrix[i][j] /= d(lowerCAmelCase__		)

        # Calculate the inverse of the matrix
										return [[float(d(lowerCAmelCase__		)		) or 0.0 for n in row] for row in inverse_matrix]
					raise ValueError('''Please provide a matrix of size 2x2 or 3x3.'''		)




