


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					:       Tuple			    =     logging.get_logger(__name__)

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



class A__     ( A__  ):



  """simple docstring"""



  _lowercase									=		'align_text_model'

  def __init__( self			:  Dict				,				lowerCamelCase__			:  Dict=30_522				,				lowerCamelCase__			:  Optional[int]=768				,				lowerCamelCase__			:  Tuple=12				,				lowerCamelCase__			:  Tuple=12				,				lowerCamelCase__			:  List[str]=3_072				,				lowerCamelCase__			:  Union[str, Any]="gelu"				,				lowerCamelCase__			:  str=0.1				,				lowerCamelCase__			:  List[Any]=0.1				,				lowerCamelCase__			:  Any=512				,				lowerCamelCase__			:  Optional[int]=2				,				lowerCamelCase__			:  Optional[int]=0.02				,				lowerCamelCase__			:  Optional[Any]=1E-12				,				lowerCamelCase__			:  Dict=0				,				lowerCamelCase__			:  Optional[int]="absolute"				,				lowerCamelCase__			:  List[Any]=True				,				**lowerCamelCase__			:  Optional[Any]				,				):
        super().__init__(**lowerCamelCase__       )

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

  @classmethod
  def    _UpperCamelCase( cls			:  int				,				lowerCamelCase__			:  Union[str, os.PathLike]				,				**lowerCamelCase__			:  List[str]       ):
        cls._set_token_in_kwargs(lowerCamelCase__       )

        a__,	a__	:  Dict     =   cls.get_config_dict(lowerCamelCase__				,				**lowerCamelCase__       )

        # 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(lowerCamelCase__				,				**lowerCamelCase__       )




class A__     ( A__  ):



  """simple docstring"""



  _lowercase									=		'align_vision_model'

  def __init__( self			:  List[Any]				,				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 = 0.25				,				lowerCamelCase__			:  str = "swish"				,				lowerCamelCase__			:  int = 2_560				,				lowerCamelCase__			:  str = "mean"				,				lowerCamelCase__			:  float = 0.02				,				lowerCamelCase__			:  float = 0.001				,				lowerCamelCase__			:  float = 0.99				,				lowerCamelCase__			:  float = 0.2				,				**lowerCamelCase__			:  List[str]				,				):
        super().__init__(**lowerCamelCase__       )

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

  @classmethod
  def    _UpperCamelCase( cls			:  Dict				,				lowerCamelCase__			:  Union[str, os.PathLike]				,				**lowerCamelCase__			:  Dict       ):
        cls._set_token_in_kwargs(lowerCamelCase__       )

        a__,	a__	:  Union[str, Any]     =   cls.get_config_dict(lowerCamelCase__				,				**lowerCamelCase__       )

        # get the vision config dict if we are loading from AlignConfig
        if config_dict.get("model_type"       ) == "align":
              a__	:  List[str]     =   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(lowerCamelCase__				,				**lowerCamelCase__       )




class A__     ( A__  ):



  """simple docstring"""



  _lowercase									=		'align'
  _lowercase									=		True

  def __init__( self			:  str				,				lowerCamelCase__			:  Optional[int]=None				,				lowerCamelCase__			:  Any=None				,				lowerCamelCase__			:  Dict=640				,				lowerCamelCase__			:  Tuple=1.0				,				lowerCamelCase__			:  Any=0.02				,				**lowerCamelCase__			:  Optional[int]				,				):
        super().__init__(**lowerCamelCase__       )

        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__	:  Union[str, Any]     =   {}
              logger.info("vision_config is None. Initializing the AlignVisionConfig with default values."       )

        a__	:  Optional[Any]     =   AlignTextConfig(**lowerCamelCase__       )
        a__	:  str     =   AlignVisionConfig(**lowerCamelCase__       )

        a__	:  Dict     =   projection_dim
        a__	:  List[str]     =   temperature_init_value
        a__	:  Dict     =   initializer_range

  @classmethod
  def    _UpperCamelCase( cls			:  Tuple				,				lowerCamelCase__			:  AlignTextConfig				,				lowerCamelCase__			:  AlignVisionConfig				,				**lowerCamelCase__			:  List[str]       ):
        return cls(text_config=text_config.to_dict()				,				vision_config=vision_config.to_dict()				,				**lowerCamelCase__       )

  def    _UpperCamelCase( self			:  Any       ):
        a__	:  int     =   copy.deepcopy(self.__dict__       )
        a__	:  int     =   self.text_config.to_dict()
        a__	:  Tuple     =   self.vision_config.to_dict()
        a__	:  Optional[Any]     =   self.__class__.model_type
        return output





from __future__ import annotations

from typing import Any






class _lowerCamelCase:
       def __init__(   self, lowerCamelCase, lowerCamelCase, lowerCamelCase = 0)			->  None:




           """simple docstring"""

           _lowercase						,							_lowercase			:				str 						=						row, column
           _lowercase			:				Any 						=						[[default_value for c in range(lowerCamelCase)] for r in range(lowerCamelCase)]
       def __str__(   self)			->  str:




           """simple docstring"""

           _lowercase			:				Tuple 						=						F'''Matrix consist of {self.row} rows and {self.column} columns\n'''

           # Make string identifier
           _lowercase			:				str 						=						0
           for row_vector in self.array:
               for obj in row_vector:
                   _lowercase			:				Optional[int] 						=						max(lowerCamelCase, len(str(lowerCamelCase)))
           _lowercase			:				List[str] 						=						F'''%{max_element_length}s'''

           # Make string and return
           def single_line(lowerCamelCase) -> str:
               nonlocal string_format_identifier
               _lowercase			:				Union[str, Any] 						=						'['
               line += ", ".join(string_format_identifier % (obj,) for obj in row_vector)
               line += "]"
               return line

           s += "\n".join(single_line(lowerCamelCase) for row_vector in self.array)
           return s
       def __repr__(   self)			->  str:




           """simple docstring"""

           return str(self)
       def      UpperCamelCase	(   self, lowerCamelCase)			->  bool:




           """simple docstring"""

           if not (isinstance(lowerCamelCase, (list, tuple)) and len(lowerCamelCase) == 2):
               return False
           elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
               return False
           else:
               return True
       def __getitem__(   self, lowerCamelCase)			->  Any:




           """simple docstring"""

           assert self.validate_indicies(lowerCamelCase)
           return self.array[loc[0]][loc[1]]
       def __setitem__(   self, lowerCamelCase, lowerCamelCase)			->  None:




           """simple docstring"""

           assert self.validate_indicies(lowerCamelCase)
           _lowercase			:				Optional[Any] 						=						value
       def __add__(   self, lowerCamelCase)			->  Matrix:




           """simple docstring"""

           assert isinstance(lowerCamelCase, lowerCamelCase)
           assert self.row == another.row and self.column == another.column

           # Add
           _lowercase			:				Any 						=						Matrix(self.row, self.column)
           for r in range(self.row):
               for c in range(self.column):
                   _lowercase			:				int 						=						self[r, c] + another[r, c]
           return result
       def __neg__(   self)			->  Matrix:




           """simple docstring"""

           _lowercase			:				List[Any] 						=						Matrix(self.row, self.column)
           for r in range(self.row):
               for c in range(self.column):
                   _lowercase			:				List[str] 						=						-self[r, c]
           return result
       def __sub__(   self, lowerCamelCase)			->  Matrix:




           """simple docstring"""

           return self + (-another)
       def __mul__(   self, lowerCamelCase)			->  Matrix:




           """simple docstring"""

           if isinstance(lowerCamelCase, (int, float)):  # Scalar multiplication
               _lowercase			:				Dict 						=						Matrix(self.row, self.column)
               for r in range(self.row):
                   for c in range(self.column):
                       _lowercase			:				Union[str, Any] 						=						self[r, c] * another
               return result
           elif isinstance(lowerCamelCase, lowerCamelCase):  # Matrix multiplication
               assert self.column == another.row
               _lowercase			:				str 						=						Matrix(self.row, another.column)
               for r in range(self.row):
                   for c in range(another.column):
                       for i in range(self.column):
                           result[r, c] += self[r, i] * another[i, c]
               return result
           else:
               _lowercase			:				Tuple 						=						F'''Unsupported type given for another ({type(lowerCamelCase)})'''
               raise TypeError(lowerCamelCase)
       def      UpperCamelCase	(   self)			->  Matrix:




           """simple docstring"""

           _lowercase			:				List[Any] 						=						Matrix(self.column, self.row)
           for r in range(self.row):
               for c in range(self.column):
                   _lowercase			:				Union[str, Any] 						=						self[r, c]
           return result




       def      UpperCamelCase	(   self, lowerCamelCase, lowerCamelCase)			->  Any:




           """simple docstring"""

           assert isinstance(lowerCamelCase, lowerCamelCase) and isinstance(lowerCamelCase, lowerCamelCase)
           assert self.row == self.column == u.row == v.row  # u, v should be column vector
           assert u.column == v.column == 1  # u, v should be column vector

           # Calculate
           _lowercase			:				Dict 						=						v.transpose()
           _lowercase			:				Any 						=						(v_t * self * u)[0, 0] + 1
           if numerator_factor == 0:
               return None  # It's not invertable
           return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":



 def 							UpperCamelCase_( )       ->		None:
     # a^(-1)
     _lowercase			:				Optional[int] 						=						Matrix(3				,					3				,					0					)
     for i in range(3					):
         _lowercase			:				int 						=						1
     print(F'''a^(-1) is {ainv}'''					)
     # u, v
     _lowercase			:				Dict 						=						Matrix(3				,					1				,					0					)
     _lowercase						,							_lowercase						,							_lowercase			:				Dict 						=						1, 2, -3
     _lowercase			:				List[Any] 						=						Matrix(3				,					1				,					0					)
     _lowercase						,							_lowercase						,							_lowercase			:				int 						=						4, -2, 5
     print(F'''u is {u}'''					)
     print(F'''v is {v}'''					)
     print(F'''uv^T is {u * v.transpose()}'''					)
     # Sherman Morrison
     print(F'''(a + uv^T)^(-1) is {ainv.sherman_morrison(lowerCamelCase_				,					lowerCamelCase_					)}'''					)



 def 							UpperCamelCase_( )       ->		None:
     import doctest

     doctest.testmod()

 testa()


