
"""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


UpperCAmelCase__        =					logging.get_logger(__name__)

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

class  lowerCAmelCase__							(		UpperCamelCase_      ):
     __a         =   """align_text_model"""







     def __init__(				self     :     Tuple       , _lowerCamelCase     :     Tuple=30522       , _lowerCamelCase     :     Any=768       , _lowerCamelCase     :     Union[str, Any]=12       , _lowerCamelCase     :     Any=12       , _lowerCamelCase     :     List[Any]=3072       , _lowerCamelCase     :     int="gelu"       , _lowerCamelCase     :     Union[str, Any]=0.1       , _lowerCamelCase     :     Optional[Any]=0.1       , _lowerCamelCase     :     int=512       , _lowerCamelCase     :     Any=2       , _lowerCamelCase     :     Any=0.0_2       , _lowerCamelCase     :     Tuple=1e-12       , _lowerCamelCase     :     Union[str, Any]=0       , _lowerCamelCase     :     int="absolute"       , _lowerCamelCase     :     Any=True       , **_lowerCamelCase     :     Tuple       , ):
       super().__init__(**a__     )

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







     @classmethod
     def 	lowercase      (				cls     :     Any       , _lowerCamelCase     :     Union[str, os.PathLike]       , **_lowerCamelCase     :     Union[str, Any]     ):
       cls._set_token_in_kwargs(a__     )

       _snake_case   	=			cls.get_config_dict(a__       , **a__     )

       # get the text config dict if we are loading from AlignConfig
       if config_dict.get('''model_type'''     ) == "align":
         _snake_case   	=			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(a__       , **a__     )






class  lowerCAmelCase__							(		UpperCamelCase_      ):
     __a         =   """align_vision_model"""







     def __init__(				self     :     str       , _lowerCamelCase     :     int = 3       , _lowerCamelCase     :     int = 600       , _lowerCamelCase     :     float = 2.0       , _lowerCamelCase     :     float = 3.1       , _lowerCamelCase     :     int = 8       , _lowerCamelCase     :     List[int] = [3, 3, 5, 3, 5, 5, 3]       , _lowerCamelCase     :     List[int] = [32, 16, 24, 40, 80, 112, 192]       , _lowerCamelCase     :     List[int] = [16, 24, 40, 80, 112, 192, 320]       , _lowerCamelCase     :     List[int] = []       , _lowerCamelCase     :     List[int] = [1, 2, 2, 2, 1, 2, 1]       , _lowerCamelCase     :     List[int] = [1, 2, 2, 3, 3, 4, 1]       , _lowerCamelCase     :     List[int] = [1, 6, 6, 6, 6, 6, 6]       , _lowerCamelCase     :     float = 0.2_5       , _lowerCamelCase     :     str = "swish"       , _lowerCamelCase     :     int = 2560       , _lowerCamelCase     :     str = "mean"       , _lowerCamelCase     :     float = 0.0_2       , _lowerCamelCase     :     float = 0.0_0_1       , _lowerCamelCase     :     float = 0.9_9       , _lowerCamelCase     :     float = 0.2       , **_lowerCamelCase     :     Tuple       , ):
       super().__init__(**a__     )

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







     @classmethod
     def 	lowercase      (				cls     :     int       , _lowerCamelCase     :     Union[str, os.PathLike]       , **_lowerCamelCase     :     Union[str, Any]     ):
       cls._set_token_in_kwargs(a__     )

       _snake_case   	=			cls.get_config_dict(a__       , **a__     )

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






class  lowerCAmelCase__							(		UpperCamelCase_      ):
     __a         =   """align"""
     __a         =   True







     def __init__(				self     :     Union[str, Any]       , _lowerCamelCase     :     List[Any]=None       , _lowerCamelCase     :     str=None       , _lowerCamelCase     :     Union[str, Any]=640       , _lowerCamelCase     :     Dict=1.0       , _lowerCamelCase     :     Optional[int]=0.0_2       , **_lowerCamelCase     :     Optional[int]       , ):
       super().__init__(**a__     )

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

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

       _snake_case   	=			AlignTextConfig(**a__     )
       _snake_case   	=			AlignVisionConfig(**a__     )

       _snake_case   	=			projection_dim
       _snake_case   	=			temperature_init_value
       _snake_case   	=			initializer_range







     @classmethod
     def 	lowercase      (				cls     :     Optional[int]       , _lowerCamelCase     :     AlignTextConfig       , _lowerCamelCase     :     AlignVisionConfig       , **_lowerCamelCase     :     Optional[int]     ):
       return cls(text_config=text_config.to_dict()       , vision_config=vision_config.to_dict()       , **a__     )







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





'''simple docstring'''

def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 lowerCAmelCase__     :   str     		=	len(lowerCamelCase_			)
 lowerCAmelCase__     :   Optional[Any]     		=	len(matrix[0]			)
 lowerCAmelCase__     :   Any     		=	min(lowerCamelCase_      ,			lowerCamelCase_			)

 for row in range(lowerCamelCase_			):
  # Check if diagonal element is not zero
  if matrix[row][row] != 0:
   # Eliminate all the elements below the diagonal
   for col in range(row + 1      ,			lowerCamelCase_			):
    lowerCAmelCase__     :   Tuple     		=	matrix[col][row] / matrix[row][row]
    for i in range(lowerCamelCase_      ,			lowerCamelCase_			):
     matrix[col][i] -= multiplier * matrix[row][i]
  else:
   # Find a non-zero diagonal element to swap rows
   lowerCAmelCase__     :   Dict     		=	True
   for i in range(row + 1      ,			lowerCamelCase_			):
    if matrix[i][row] != 0:
     lowerCAmelCase__		,     lowerCAmelCase__     :   Optional[Any]     		=	matrix[i], matrix[row]
     lowerCAmelCase__     :   Optional[Any]     		=	False
     break
   if reduce:
    rank -= 1
    for i in range(lowerCamelCase_			):
     lowerCAmelCase__     :   Union[str, Any]     		=	matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
   row -= 1

 return rank


if __name__ == "__main__":
     import doctest

     doctest.testmod()





