




from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload
class 			_UpperCamelCase      :
						def __init__(			self   :Optional[Any] ,      lowerCamelCase   :Collection[float] | None = None      )     ->			List[Any]:
							if components is None:
								UpperCAmelCase__							 =						[]
							UpperCAmelCase__							 =						list(__UpperCamelCase      )
						def __len__(			self   :str      )     ->			List[str]:
							return len(self.__components      )
						def __str__(			self   :Tuple      )     ->			Union[str, Any]:
							return "(" + ",".join(map(__UpperCamelCase ,      self.__components      )      ) + ")"
						def __add__(			self   :Any ,      lowerCamelCase   :Vector      )     ->			Dict:
							UpperCAmelCase__							 =						len(self      )
							if size == len(__UpperCamelCase      ):
								UpperCAmelCase__							 =						[self.__components[i] + other.component(__UpperCamelCase      ) for i in range(__UpperCamelCase      )]
								return Vector(__UpperCamelCase      )
							else:
								raise Exception("must have the same size"      )
						def __sub__(			self   :Union[str, Any] ,      lowerCamelCase   :Vector      )     ->			Union[str, Any]:
							UpperCAmelCase__							 =						len(self      )
							if size == len(__UpperCamelCase      ):
								UpperCAmelCase__							 =						[self.__components[i] - other.component(__UpperCamelCase      ) for i in range(__UpperCamelCase      )]
								return Vector(__UpperCamelCase      )
							else:  # error case
								raise Exception("must have the same size"      )
						@overload
						def __mul__(			self   :Dict ,      lowerCamelCase   :float      )     ->			Union[str, Any]:
							...
						@overload
						def __mul__(			self   :Optional[Any] ,      lowerCamelCase   :Vector      )     ->			Optional[int]:
							...
						def __mul__(			self   :Tuple ,      lowerCamelCase   :float | Vector      )     ->			List[Any]:
							if isinstance(__UpperCamelCase ,      (float, int)      ):
								UpperCAmelCase__							 =						[c * other for c in self.__components]
								return Vector(__UpperCamelCase      )
							elif isinstance(__UpperCamelCase ,      __UpperCamelCase      ) and len(self      ) == len(__UpperCamelCase      ):
								UpperCAmelCase__							 =						len(self      )
								UpperCAmelCase__							 =						[self.__components[i] * other.component(__UpperCamelCase      ) for i in range(__UpperCamelCase      )]
								return sum(__UpperCamelCase      )
							else:  # error case
								raise Exception("invalid operand!"      )
						def 	UpperCAmelCase_						(			self   :str      )     ->			Any:
							return Vector(self.__components      )
						def 	UpperCAmelCase_						(			self   :Union[str, Any] ,      lowerCamelCase   :int      )     ->			Optional[int]:
							if isinstance(__UpperCamelCase ,      __UpperCamelCase      ) and -len(self.__components      ) <= i < len(self.__components      ):
								return self.__components[i]
							else:
								raise Exception("index out of range"      )
						def 	UpperCAmelCase_						(			self   :Dict ,      lowerCamelCase   :int ,      lowerCamelCase   :float      )     ->			Optional[Any]:
							assert -len(self.__components      ) <= pos < len(self.__components      )
							UpperCAmelCase__							 =						value
						def 	UpperCAmelCase_						(			self   :Optional[Any]      )     ->			str:
							if len(self.__components      ) == 0:
								raise Exception("Vector is empty"      )
							UpperCAmelCase__							 =						[c**2 for c in self.__components]
							return math.sqrt(sum(__UpperCamelCase      )      )







						def 	UpperCAmelCase_						(			self   :Any ,      lowerCamelCase   :Vector ,      lowerCamelCase   :bool = False      )     ->			int:
							UpperCAmelCase__							 =						self * other
							UpperCAmelCase__							 =						self.euclidean_length() * other.euclidean_length()
							if deg:
								return math.degrees(math.acos(num / den      )      )
							else:
								return math.acos(num / den      )



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int	):




	"""simple docstring"""







	assert isinstance(UpperCAmelCase__						,							UpperCAmelCase__	)
	return Vector([0] * dimension	)



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int						,							_lowerCAmelCase							:   int	):




	"""simple docstring"""







	assert isinstance(UpperCAmelCase__						,							UpperCAmelCase__	) and (isinstance(UpperCAmelCase__						,							UpperCAmelCase__	))
	UpperCAmelCase__							 =						[0] * dimension
	UpperCAmelCase__							 =						1
	return Vector(UpperCAmelCase__	)



def 						lowerCAmelCase		(		_lowerCAmelCase							:   float						,							_lowerCAmelCase							:   Vector						,							_lowerCAmelCase							:   Vector	):




	"""simple docstring"""







	assert (
	    isinstance(UpperCAmelCase__						,							UpperCAmelCase__	)
	    and isinstance(UpperCAmelCase__						,							UpperCAmelCase__	)
	    and (isinstance(UpperCAmelCase__						,							(int, float)	))
	)
	return x * scalar + y



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int						,							_lowerCAmelCase							:   int						,							_lowerCAmelCase							:   int	):




	"""simple docstring"""







	random.seed(UpperCAmelCase__	)
	UpperCAmelCase__							 =						[random.randint(UpperCAmelCase__						,							UpperCAmelCase__	) for _ in range(UpperCAmelCase__	)]
	return Vector(UpperCAmelCase__	)
class 			_UpperCamelCase      :
						def __init__(			self   :Dict ,      lowerCamelCase   :list[list[float]] ,      lowerCamelCase   :int ,      lowerCamelCase   :int      )     ->			Any:
							UpperCAmelCase__							 =						matrix
							UpperCAmelCase__							 =						w
							UpperCAmelCase__							 =						h
						def __str__(			self   :Dict      )     ->			List[Any]:
							UpperCAmelCase__							 =						""
							for i in range(self.__height      ):
								ans += "|"
								for j in range(self.__width      ):
									if j < self.__width - 1:
										ans += str(self.__matrix[i][j]      ) + ","
									else:
										ans += str(self.__matrix[i][j]      ) + "|\n"
							return ans
						def __add__(			self   :Dict ,      lowerCamelCase   :Matrix      )     ->			int:
							if self.__width == other.width() and self.__height == other.height():
								UpperCAmelCase__							 =						[]
								for i in range(self.__height      ):
									UpperCAmelCase__							 =						[
									    self.__matrix[i][j] + other.component(__UpperCamelCase ,      __UpperCamelCase      )
									    for j in range(self.__width      )
									]
									matrix.append(__UpperCamelCase      )
								return Matrix(__UpperCamelCase ,      self.__width ,      self.__height      )
							else:
								raise Exception("matrix must have the same dimension!"      )
						def __sub__(			self   :Tuple ,      lowerCamelCase   :Matrix      )     ->			Union[str, Any]:
							if self.__width == other.width() and self.__height == other.height():
								UpperCAmelCase__							 =						[]
								for i in range(self.__height      ):
									UpperCAmelCase__							 =						[
									    self.__matrix[i][j] - other.component(__UpperCamelCase ,      __UpperCamelCase      )
									    for j in range(self.__width      )
									]
									matrix.append(__UpperCamelCase      )
								return Matrix(__UpperCamelCase ,      self.__width ,      self.__height      )
							else:
								raise Exception("matrices must have the same dimension!"      )
						@overload
						def __mul__(			self   :Optional[int] ,      lowerCamelCase   :float      )     ->			Tuple:
							...
						@overload
						def __mul__(			self   :List[str] ,      lowerCamelCase   :Vector      )     ->			Dict:
							...
						def __mul__(			self   :Union[str, Any] ,      lowerCamelCase   :float | Vector      )     ->			str:
							if isinstance(__UpperCamelCase ,      __UpperCamelCase      ):  # matrix-vector
								if len(__UpperCamelCase      ) == self.__width:
									UpperCAmelCase__							 =						zero_vector(self.__height      )
									for i in range(self.__height      ):
										UpperCAmelCase__							 =						[
										    self.__matrix[i][j] * other.component(__UpperCamelCase      )
										    for j in range(self.__width      )
										]
										ans.change_component(__UpperCamelCase ,      sum(__UpperCamelCase      )      )
									return ans
								else:
									raise Exception(
									    "vector must have the same size as the "
									    "number of columns of the matrix!"      )
							elif isinstance(__UpperCamelCase ,      (int, float)      ):  # matrix-scalar
								UpperCAmelCase__							 =						[
								    [self.__matrix[i][j] * other for j in range(self.__width      )]
								    for i in range(self.__height      )
								]
								return Matrix(__UpperCamelCase ,      self.__width ,      self.__height      )
							return None
						def 	UpperCAmelCase_						(			self   :Any      )     ->			int:
							return self.__height
						def 	UpperCAmelCase_						(			self   :Tuple      )     ->			Union[str, Any]:
							return self.__width
						def 	UpperCAmelCase_						(			self   :Optional[int] ,      lowerCamelCase   :int ,      lowerCamelCase   :int      )     ->			Dict:
							if 0 <= x < self.__height and 0 <= y < self.__width:
								return self.__matrix[x][y]
							else:
								raise Exception("change_component: indices out of bounds"      )
						def 	UpperCAmelCase_						(			self   :List[str] ,      lowerCamelCase   :int ,      lowerCamelCase   :int ,      lowerCamelCase   :float      )     ->			Dict:
							if 0 <= x < self.__height and 0 <= y < self.__width:
								UpperCAmelCase__							 =						value
							else:
								raise Exception("change_component: indices out of bounds"      )
						def 	UpperCAmelCase_						(			self   :Optional[int] ,      lowerCamelCase   :int ,      lowerCamelCase   :int      )     ->			int:
							if self.__height != self.__width:
								raise Exception("Matrix is not square"      )
							UpperCAmelCase__							 =						self.__matrix[:x] + self.__matrix[x + 1 :]
							for i in range(len(__UpperCamelCase      )      ):
								UpperCAmelCase__							 =						minor[i][:y] + minor[i][y + 1 :]
							return Matrix(__UpperCamelCase ,      self.__width - 1 ,      self.__height - 1      ).determinant()
						def 	UpperCAmelCase_						(			self   :Optional[Any] ,      lowerCamelCase   :int ,      lowerCamelCase   :int      )     ->			List[Any]:
							if self.__height != self.__width:
								raise Exception("Matrix is not square"      )
							if 0 <= x < self.__height and 0 <= y < self.__width:
								return (-1) ** (x + y) * self.minor(__UpperCamelCase ,      __UpperCamelCase      )
							else:
								raise Exception("Indices out of bounds"      )







						def 	UpperCAmelCase_						(			self   :Dict      )     ->			Tuple:
							if self.__height != self.__width:
								raise Exception("Matrix is not square"      )
							if self.__height < 1:
								raise Exception("Matrix has no element"      )
							elif self.__height == 1:
								return self.__matrix[0][0]
							elif self.__height == 2:
								return (
								    self.__matrix[0][0] * self.__matrix[1][1]
								    - self.__matrix[0][1] * self.__matrix[1][0]
								)
							else:
								UpperCAmelCase__							 =						[
								    self.__matrix[0][y] * self.cofactor(0 ,      __UpperCamelCase      ) for y in range(self.__width      )
								]
								return sum(__UpperCamelCase      )



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int	):




	"""simple docstring"""







	UpperCAmelCase__							 =						[[0] * n for _ in range(UpperCAmelCase__	)]
	return Matrix(UpperCAmelCase__						,							UpperCAmelCase__						,							UpperCAmelCase__	)



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int						,							_lowerCAmelCase							:   int						,							_lowerCAmelCase							:   int						,							_lowerCAmelCase							:   int	):




	"""simple docstring"""







	random.seed(UpperCAmelCase__	)
	UpperCAmelCase__							 =						[
	    [random.randint(UpperCAmelCase__						,							UpperCAmelCase__	) for _ in range(UpperCAmelCase__	)] for _ in range(UpperCAmelCase__	)
	]
	return Matrix(UpperCAmelCase__						,							UpperCAmelCase__						,							UpperCAmelCase__	)











import argparse

from transformers import BigBirdConfig, BigBirdForPreTraining, BigBirdForQuestionAnswering, load_tf_weights_in_big_bird
from transformers.utils import logging


logging.set_verbosity_info()



def 						lowerCAmelCase		(		_lowerCAmelCase							:   Any						,							_lowerCAmelCase							:   List[str]						,							_lowerCAmelCase							:   Optional[int]						,							_lowerCAmelCase							:   Union[str, Any]	):




 """simple docstring"""







 UpperCAmelCase__							 =						BigBirdConfig.from_json_file(_lowerCAmelCase	)
 print(F'''Building PyTorch model from configuration: {config}'''	)

 if is_trivia_qa:
  UpperCAmelCase__							 =						BigBirdForQuestionAnswering(_lowerCAmelCase	)
 else:
  UpperCAmelCase__							 =						BigBirdForPreTraining(_lowerCAmelCase	)

 # Load weights from tf checkpoint
 load_tf_weights_in_big_bird(_lowerCAmelCase						,							_lowerCAmelCase						,							is_trivia_qa=_lowerCAmelCase	)

 # Save pytorch-model
 print(F'''Save PyTorch model to {pytorch_dump_path}'''	)
 model.save_pretrained(_lowerCAmelCase	)


if __name__ == "__main__":
  _lowerCAmelCase						:   List[Any]		=   argparse.ArgumentParser()
  # Required parameters
  parser.add_argument(
      "--tf_checkpoint_path", default=None, type=str, required=True, help="Path to the TensorFlow checkpoint path."
  )
  parser.add_argument(
      "--big_bird_config_file",
      default=None,
      type=str,
      required=True,
      help=(
          "The config json file corresponding to the pre-trained BERT model. \n"
          "This specifies the model architecture."
      ),
  )
  parser.add_argument(
      "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
  )
  parser.add_argument(
      "--is_trivia_qa", action="store_true", help="Whether to convert a model with a trivia_qa head."
  )
  _lowerCAmelCase						:   Dict		=   parser.parse_args()
  convert_tf_checkpoint_to_pytorch(
      args.tf_checkpoint_path, args.big_bird_config_file, args.pytorch_dump_path, args.is_trivia_qa
  )





