
'''simple docstring'''


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


lowerCAmelCase__						:       str										=						logging.get_logger(__name__)

lowerCAmelCase__						:       int										=						{
    """s-JoL/Open-Llama-V1""": """https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json""",
}




class     a			(				SCREAMING_SNAKE_CASE       ):






						"""simple docstring"""




						__UpperCAmelCase			     =    """open-llama"""







						def __init__(							self					:      Dict			,			snake_case_					:      str=1_0_0_0_0_0			,			snake_case_					:      Union[str, Any]=4_0_9_6			,			snake_case_					:      Optional[int]=1_1_0_0_8			,			snake_case_					:      Any=3_2			,			snake_case_					:      Union[str, Any]=3_2			,			snake_case_					:      List[Any]="silu"			,			snake_case_					:      Union[str, Any]=2_0_4_8			,			snake_case_					:      Tuple=0.0_2			,			snake_case_					:      List[Any]=1e-6			,			snake_case_					:      List[Any]=True			,			snake_case_					:      int=0			,			snake_case_					:      Dict=1			,			snake_case_					:      List[Any]=2			,			snake_case_					:      Union[str, Any]=False			,			snake_case_					:      List[str]=True			,			snake_case_					:      Dict=0.1			,			snake_case_					:      List[Any]=0.1			,			snake_case_					:      Optional[int]=True			,			snake_case_					:      List[str]=True			,			snake_case_					:      List[str]=None			,			**snake_case_					:      str			,			):



								'''simple docstring'''



								snake_case__						:       Union[str, Any]       						=  vocab_size
								snake_case__						:       str       						=  max_position_embeddings
								snake_case__						:       List[str]       						=  hidden_size
								snake_case__						:       Dict       						=  intermediate_size
								snake_case__						:       Tuple       						=  num_hidden_layers
								snake_case__						:       Any       						=  num_attention_heads
								snake_case__						:       Tuple       						=  hidden_act
								snake_case__						:       int       						=  initializer_range
								snake_case__						:       Union[str, Any]       						=  rms_norm_eps
								snake_case__						:       str       						=  use_cache
								snake_case__						:       Tuple       						=  kwargs.pop(
								    '''use_memorry_efficient_attention'''			,			snake_case_  )
								snake_case__						:       Tuple       						=  hidden_dropout_prob
								snake_case__						:       Any       						=  attention_dropout_prob
								snake_case__						:       str       						=  use_stable_embedding
								snake_case__						:       int       						=  shared_input_output_embedding
								snake_case__						:       Optional[int]       						=  rope_scaling
								self._rope_scaling_validation()

								super().__init__(
								    pad_token_id=snake_case_			,			bos_token_id=snake_case_			,			eos_token_id=snake_case_			,			tie_word_embeddings=snake_case_			,			**snake_case_			,			)







						def       __magic_name__							(							self					:      Optional[int]  ):



								'''simple docstring'''



								if self.rope_scaling is None:
										return

								if not isinstance(self.rope_scaling			,			snake_case_  ) or len(self.rope_scaling  ) != 2:
										raise ValueError(
										    '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
										    F"""got {self.rope_scaling}"""  )
								snake_case__						:       str       						=  self.rope_scaling.get('''type'''			,			snake_case_  )
								snake_case__						:       Union[str, Any]       						=  self.rope_scaling.get('''factor'''			,			snake_case_  )
								if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
										raise ValueError(
										    F"""`rope_scaling`'s name field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"""  )
								if rope_scaling_factor is None or not isinstance(snake_case_			,			snake_case_  ) or rope_scaling_factor <= 1.0:
										raise ValueError(F"""`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"""  )






'''simple docstring'''


from __future__ import annotations

from typing import Any




class     a			:






						"""simple docstring"""




						def __init__(							self					:      Tuple			,			snake_case_					:      int			,			snake_case_					:      int			,			snake_case_					:      float = 0  ):



								'''simple docstring'''



								snake_case__						,       snake_case__						:       Optional[Any]       						=  row, column
								snake_case__						:       Dict       						=  [[default_value for c in range(snake_case_  )] for r in range(snake_case_  )]







						def __str__(							self					:      Optional[Any]  ):



								'''simple docstring'''



								snake_case__						:       Optional[int]       						=  F"""Matrix consist of {self.row} rows and {self.column} columns\n"""

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

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

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







						def __repr__(							self					:      Optional[int]  ):



								'''simple docstring'''



								return str(self  )







						def       __magic_name__							(							self					:      Optional[int]			,			snake_case_					:      tuple[int, int]  ):



								'''simple docstring'''



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







						def __getitem__(							self					:      List[str]			,			snake_case_					:      tuple[int, int]  ):



								'''simple docstring'''



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







						def __setitem__(							self					:      int			,			snake_case_					:      tuple[int, int]			,			snake_case_					:      float  ):



								'''simple docstring'''



								assert self.validate_indicies(snake_case_  )
								snake_case__						:       Optional[Any]       						=  value







						def __add__(							self					:      Dict			,			snake_case_					:      Matrix  ):



								'''simple docstring'''



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

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







						def __neg__(							self					:      Optional[Any]  ):



								'''simple docstring'''



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







						def __sub__(							self					:      Optional[int]			,			snake_case_					:      Matrix  ):



								'''simple docstring'''



								return self + (-another)







						def __mul__(							self					:      int			,			snake_case_					:      int | float | Matrix  ):



								'''simple docstring'''



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







						def       __magic_name__							(							self					:      List[str]  ):



								'''simple docstring'''



								snake_case__						:       Optional[int]       						=  Matrix(self.column			,			self.row  )
								for r in range(self.row  ):
										for c in range(self.column  ):
												snake_case__						:       List[Any]       						=  self[r, c]
								return result







						def       __magic_name__							(							self					:      Tuple			,			snake_case_					:      Matrix			,			snake_case_					:      Matrix  ):



								'''simple docstring'''



								assert isinstance(snake_case_			,			snake_case_  ) and isinstance(snake_case_			,			snake_case_  )
								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__						:       Tuple       						=  v.transpose()
								snake_case__						:       Optional[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 	_a       (				):

							"""simple docstring"""

							snake_case__						:       Tuple       						=  Matrix(3   ,							3   ,							0     )
							for i in range(3     ):
									snake_case__						:       Any       						=  1
							print(F"""a^(-1) is {ainv}"""     )
							# u, v
							snake_case__						:       int       						=  Matrix(3   ,							1   ,							0     )
							snake_case__						,       snake_case__						,       snake_case__						:       List[Any]       						=  1, 2, -3
							snake_case__						:       Any       						=  Matrix(3   ,							1   ,							0     )
							snake_case__						,       snake_case__						,       snake_case__						:       Optional[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 	_a       (				):

							"""simple docstring"""

							import doctest

							doctest.testmod()





					testa()



