


"""simple docstring"""
from __future__ import annotations

from typing import Any





class      __A     :





							'''simple docstring'''

							def __init__(				self							:      Tuple		,       UpperCAmelCase_							:      int		,       UpperCAmelCase_							:      int		,       UpperCAmelCase_							:      float = 0       )					->None:



														"""simple docstring"""



														snake_case_       ,						snake_case_           =		row, column
														snake_case_           =		[[default_value for c in range(UpperCAmelCase_       )] for r in range(UpperCAmelCase_       )]



							def __str__(				self							:      Optional[int]       )					->str:



														"""simple docstring"""



														snake_case_           =		F"""Matrix consist of {self.row} rows and {self.column} columns\n"""

														# Make string identifier
														snake_case_           =		0
														for row_vector in self.array:
																					for obj in row_vector:
																												snake_case_           =		max(UpperCAmelCase_		,       len(str(UpperCAmelCase_       )       )       )
														snake_case_           =		F"""%{max_element_length}s"""

														# Make string and return
														def single_line(UpperCAmelCase_							:      list[float]       ) -> str:
																					nonlocal string_format_identifier
																					snake_case_           =		"""["""
																					line += ", ".join(string_format_identifier % (obj,) for obj in row_vector       )
																					line += "]"
																					return line

														s += "\n".join(single_line(UpperCAmelCase_       ) for row_vector in self.array       )
														return s



							def __repr__(				self							:      Tuple       )					->str:



														"""simple docstring"""



														return str(self       )



							def 		lowerCAmelCase       (				self							:      List[str]		,       UpperCAmelCase_							:      tuple[int, int]       )					->bool:



														"""simple docstring"""



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



							def __getitem__(				self							:      Union[str, Any]		,       UpperCAmelCase_							:      tuple[int, int]       )					->Any:



														"""simple docstring"""



														assert self.validate_indicies(UpperCAmelCase_       )
														return self.array[loc[0]][loc[1]]



							def __setitem__(				self							:      Dict		,       UpperCAmelCase_							:      tuple[int, int]		,       UpperCAmelCase_							:      float       )					->None:



														"""simple docstring"""



														assert self.validate_indicies(UpperCAmelCase_       )
														snake_case_           =		value



							def __add__(				self							:      Optional[int]		,       UpperCAmelCase_							:      Matrix       )					->Matrix:



														"""simple docstring"""



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

														# Add
														snake_case_           =		Matrix(self.row		,       self.column       )
														for r in range(self.row       ):
																					for c in range(self.column       ):
																												snake_case_           =		self[r, c] + another[r, c]
														return result



							def __neg__(				self							:      int       )					->Matrix:



														"""simple docstring"""



														snake_case_           =		Matrix(self.row		,       self.column       )
														for r in range(self.row       ):
																					for c in range(self.column       ):
																												snake_case_           =		-self[r, c]
														return result



							def __sub__(				self							:      Optional[Any]		,       UpperCAmelCase_							:      Matrix       )					->Matrix:



														"""simple docstring"""



														return self + (-another)



							def __mul__(				self							:      List[str]		,       UpperCAmelCase_							:      int | float | Matrix       )					->Matrix:



														"""simple docstring"""



														if isinstance(UpperCAmelCase_		,       (int, float)       ):  # Scalar multiplication
																					snake_case_           =		Matrix(self.row		,       self.column       )
																					for r in range(self.row       ):
																												for c in range(self.column       ):
																																			snake_case_           =		self[r, c] * another
																					return result
														elif isinstance(UpperCAmelCase_		,       UpperCAmelCase_       ):  # Matrix multiplication
																					assert self.column == another.row
																					snake_case_           =		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:
																					snake_case_           =		F"""Unsupported type given for another ({type(UpperCAmelCase_       )})"""
																					raise TypeError(UpperCAmelCase_       )



							def 		lowerCAmelCase       (				self							:      Optional[int]       )					->Matrix:



														"""simple docstring"""



														snake_case_           =		Matrix(self.column		,       self.row       )
														for r in range(self.row       ):
																					for c in range(self.column       ):
																												snake_case_           =		self[r, c]
														return result



							def 		lowerCAmelCase       (				self							:      str		,       UpperCAmelCase_							:      Matrix		,       UpperCAmelCase_							:      Matrix       )					->Any:



														"""simple docstring"""



														assert isinstance(UpperCAmelCase_		,       UpperCAmelCase_       ) and isinstance(UpperCAmelCase_		,       UpperCAmelCase_       )
														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
														snake_case_           =		v.transpose()
														snake_case_           =		(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 						_a				(      )    ->				None:
											# a^(-1)
											snake_case_           =		Matrix(3				, 3				, 0				)
											for i in range(3				):
																		snake_case_           =		1
											print(f"""a^(-1) is {ainv}"""				)
											# u, v
											snake_case_           =		Matrix(3				, 1				, 0				)
											snake_case_       ,						snake_case_       ,						snake_case_           =		1, 2, -3
											snake_case_           =		Matrix(3				, 1				, 0				)
											snake_case_       ,						snake_case_       ,						snake_case_           =		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(_SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				)}"""				)







				def 						_a				(      )    ->				None:
											import doctest

											doctest.testmod()





				testa()






"""simple docstring"""
from ....configuration_utils import PretrainedConfig
from ....utils import logging


__SCREAMING_SNAKE_CASE							:    str		=    logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE							:    str		=    {
    'speechbrain/m-ctc-t-large': 'https://huggingface.co/speechbrain/m-ctc-t-large/resolve/main/config.json',
    # See all M-CTC-T models at https://huggingface.co/models?filter=mctct
}





class      __A     (snake_case__):





							'''simple docstring'''

							__lowercase:		Any							      =    """mctct"""



							def __init__(				self							:      Dict		,       UpperCAmelCase_							:      List[Any]=8_065		,       UpperCAmelCase_							:      Tuple=1_536		,       UpperCAmelCase_							:      Optional[Any]=36		,       UpperCAmelCase_							:      int=6_144		,       UpperCAmelCase_							:      Dict=4		,       UpperCAmelCase_							:      Any=384		,       UpperCAmelCase_							:      List[str]=920		,       UpperCAmelCase_							:      Any=1E-5		,       UpperCAmelCase_							:      Any=0.3		,       UpperCAmelCase_							:      Tuple="relu"		,       UpperCAmelCase_							:      Union[str, Any]=0.02		,       UpperCAmelCase_							:      Dict=0.3		,       UpperCAmelCase_							:      str=0.3		,       UpperCAmelCase_							:      Any=1		,       UpperCAmelCase_							:      Any=0		,       UpperCAmelCase_							:      int=2		,       UpperCAmelCase_							:      str=1		,       UpperCAmelCase_							:      Tuple=0.3		,       UpperCAmelCase_							:      Optional[Any]=1		,       UpperCAmelCase_							:      Optional[Any]=(7,)		,       UpperCAmelCase_							:      Optional[Any]=(3,)		,       UpperCAmelCase_							:      List[str]=80		,       UpperCAmelCase_							:      Tuple=1		,       UpperCAmelCase_							:      List[Any]=None		,       UpperCAmelCase_							:      List[str]="sum"		,       UpperCAmelCase_							:      Union[str, Any]=False		,       **UpperCAmelCase_							:      Any		,       )					->Dict:



														"""simple docstring"""



														super().__init__(**UpperCAmelCase_		,       pad_token_id=UpperCAmelCase_		,       bos_token_id=UpperCAmelCase_		,       eos_token_id=UpperCAmelCase_       )
														snake_case_           =		vocab_size
														snake_case_           =		hidden_size
														snake_case_           =		num_hidden_layers
														snake_case_           =		intermediate_size
														snake_case_           =		num_attention_heads
														snake_case_           =		attention_head_dim
														snake_case_           =		max_position_embeddings
														snake_case_           =		layer_norm_eps
														snake_case_           =		layerdrop
														snake_case_           =		hidden_act
														snake_case_           =		initializer_range
														snake_case_           =		hidden_dropout_prob
														snake_case_           =		attention_probs_dropout_prob
														snake_case_           =		pad_token_id
														snake_case_           =		bos_token_id
														snake_case_           =		eos_token_id
														snake_case_           =		conv_glu_dim
														snake_case_           =		conv_dropout
														snake_case_           =		num_conv_layers
														snake_case_           =		input_feat_per_channel
														snake_case_           =		input_channels
														snake_case_           =		conv_channels
														snake_case_           =		ctc_loss_reduction
														snake_case_           =		ctc_zero_infinity

														# prevents config testing fail with exporting to json
														snake_case_           =		list(UpperCAmelCase_       )
														snake_case_           =		list(UpperCAmelCase_       )

														if len(self.conv_kernel       ) != self.num_conv_layers:
																					raise ValueError(
																					    """Configuration for convolutional module is incorrect. """
																					    """It is required that `len(config.conv_kernel)` == `config.num_conv_layers` """
																					    F"""but is `len(config.conv_kernel) = {len(self.conv_kernel       )}`, """
																					    F"""`config.num_conv_layers = {self.num_conv_layers}`."""       )



