

from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload



class    _a						:


					'''simple docstring'''






					def __init__(			self   ,	A__ = None      ):
						if components is None:
							A__							:   List[Any]					       =		[]
						A__							:   Union[str, Any]					       =		list(A__      )






					def __len__(			self      ):
						return len(self.__components      )






					def __str__(			self      ):
						return "(" + ",".join(map(A__   ,	self.__components      )      ) + ")"






					def __add__(			self   ,	A__      ):
						A__							:   int					       =		len(self      )
						if size == len(A__      ):
							A__							:   Tuple					       =		[self.__components[i] + other.component(A__      ) for i in range(A__      )]
							return Vector(A__      )
						else:
							raise Exception("""must have the same size"""      )






					def __sub__(			self   ,	A__      ):
						A__							:   Optional[int]					       =		len(self      )
						if size == len(A__      ):
							A__							:   Optional[Any]					       =		[self.__components[i] - other.component(A__      ) for i in range(A__      )]
							return Vector(A__      )
						else:  # error case
							raise Exception("""must have the same size"""      )






					@overload
					def __mul__(			self   ,	A__      ):
						...






					@overload
					def __mul__(			self   ,	A__      ):
						...






					def __mul__(			self   ,	A__      ):
						if isinstance(A__   ,	(float, int)      ):
							A__							:   Any					       =		[c * other for c in self.__components]
							return Vector(A__      )
						elif isinstance(A__   ,	A__      ) and len(self      ) == len(A__      ):
							A__							:   str					       =		len(self      )
							A__							:   int					       =		[self.__components[i] * other.component(A__      ) for i in range(A__      )]
							return sum(A__      )
						else:  # error case
							raise Exception("""invalid operand!"""      )






					def   __A      (			self      ):
						return Vector(self.__components      )






					def   __A      (			self   ,	A__      ):
						if isinstance(A__   ,	A__      ) and -len(self.__components      ) <= i < len(self.__components      ):
							return self.__components[i]
						else:
							raise Exception("""index out of range"""      )






					def   __A      (			self   ,	A__   ,	A__      ):
						assert -len(self.__components      ) <= pos < len(self.__components      )
						A__							:   Any					       =		value






					def   __A      (			self      ):
						if len(self.__components      ) == 0:
							raise Exception("""Vector is empty"""      )
						A__							:   Optional[int]					       =		[c**2 for c in self.__components]
						return math.sqrt(sum(A__      )      )






					def   __A      (			self   ,	A__   ,	A__ = False      ):
						A__							:   Optional[int]					       =		self * other
						A__							:   str					       =		self.euclidean_length() * other.euclidean_length()
						if deg:
							return math.degrees(math.acos(num / den      )      )
						else:
							return math.acos(num / den      )



def 						UpperCamelCase (lowercase_:			int )					->				Vector:
	assert isinstance(lowercase_   ,				lowercase_ )
	return Vector([0] * dimension )

def 						UpperCamelCase (lowercase_:			int   ,				lowercase_:			int )					->				Vector:
	assert isinstance(lowercase_   ,				lowercase_ ) and (isinstance(lowercase_   ,				lowercase_ ))
	A__							:   Tuple					       =		[0] * dimension
	A__							:   str					       =		1
	return Vector(lowercase_ )

def 						UpperCamelCase (lowercase_:			float   ,				lowercase_:			Vector   ,				lowercase_:			Vector )					->				Vector:
	assert (
	    isinstance(lowercase_   ,				lowercase_ )
	    and isinstance(lowercase_   ,				lowercase_ )
	    and (isinstance(lowercase_   ,				(int, float) ))
	)
	return x * scalar + y

def 						UpperCamelCase (lowercase_:			int   ,				lowercase_:			int   ,				lowercase_:			int )					->				Vector:
	random.seed(lowercase_ )
	A__							:   int					       =		[random.randint(lowercase_   ,				lowercase_ ) for _ in range(lowercase_ )]
	return Vector(lowercase_ )



class    _a						:


					'''simple docstring'''






					def __init__(			self   ,	A__   ,	A__   ,	A__      ):
						A__							:   List[Any]					       =		matrix
						A__							:   str					       =		w
						A__							:   List[str]					       =		h






					def __str__(			self      ):
						A__							:   Any					       =		""""""
						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   ,	A__      ):
						if self.__width == other.width() and self.__height == other.height():
							A__							:   List[str]					       =		[]
							for i in range(self.__height      ):
								A__							:   Optional[Any]					       =		[
								    self.__matrix[i][j] + other.component(A__   ,	A__      )
								    for j in range(self.__width      )
								]
								matrix.append(A__      )
							return Matrix(A__   ,	self.__width   ,	self.__height      )
						else:
							raise Exception("""matrix must have the same dimension!"""      )






					def __sub__(			self   ,	A__      ):
						if self.__width == other.width() and self.__height == other.height():
							A__							:   List[Any]					       =		[]
							for i in range(self.__height      ):
								A__							:   str					       =		[
								    self.__matrix[i][j] - other.component(A__   ,	A__      )
								    for j in range(self.__width      )
								]
								matrix.append(A__      )
							return Matrix(A__   ,	self.__width   ,	self.__height      )
						else:
							raise Exception("""matrices must have the same dimension!"""      )






					@overload
					def __mul__(			self   ,	A__      ):
						...






					@overload
					def __mul__(			self   ,	A__      ):
						...






					def __mul__(			self   ,	A__      ):
						if isinstance(A__   ,	A__      ):  # matrix-vector
							if len(A__      ) == self.__width:
								A__							:   Union[str, Any]					       =		zero_vector(self.__height      )
								for i in range(self.__height      ):
									A__							:   Dict					       =		[
									    self.__matrix[i][j] * other.component(A__      )
									    for j in range(self.__width      )
									]
									ans.change_component(A__   ,	sum(A__      )      )
								return ans
							else:
								raise Exception(
								    """vector must have the same size as the """
								    """number of columns of the matrix!"""      )
						elif isinstance(A__   ,	(int, float)      ):  # matrix-scalar
							A__							:   Union[str, Any]					       =		[
							    [self.__matrix[i][j] * other for j in range(self.__width      )]
							    for i in range(self.__height      )
							]
							return Matrix(A__   ,	self.__width   ,	self.__height      )
						return None






					def   __A      (			self      ):
						return self.__height






					def   __A      (			self      ):
						return self.__width






					def   __A      (			self   ,	A__   ,	A__      ):
						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   __A      (			self   ,	A__   ,	A__   ,	A__      ):
						if 0 <= x < self.__height and 0 <= y < self.__width:
							A__							:   List[Any]					       =		value
						else:
							raise Exception("""change_component: indices out of bounds"""      )






					def   __A      (			self   ,	A__   ,	A__      ):
						if self.__height != self.__width:
							raise Exception("""Matrix is not square"""      )
						A__							:   Union[str, Any]					       =		self.__matrix[:x] + self.__matrix[x + 1 :]
						for i in range(len(A__      )      ):
							A__							:   Union[str, Any]					       =		minor[i][:y] + minor[i][y + 1 :]
						return Matrix(A__   ,	self.__width - 1   ,	self.__height - 1      ).determinant()






					def   __A      (			self   ,	A__   ,	A__      ):
						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(A__   ,	A__      )
						else:
							raise Exception("""Indices out of bounds"""      )






					def   __A      (			self      ):
						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:
							A__							:   Union[str, Any]					       =		[
							    self.__matrix[0][y] * self.cofactor(0   ,	A__      ) for y in range(self.__width      )
							]
							return sum(A__      )



def 						UpperCamelCase (lowercase_:			int )					->				Matrix:
	A__							:   list[list[float]]					       =		[[0] * n for _ in range(lowercase_ )]
	return Matrix(lowercase_   ,				lowercase_   ,				lowercase_ )


def 						UpperCamelCase (lowercase_:			int   ,				lowercase_:			int   ,				lowercase_:			int   ,				lowercase_:			int )					->				Matrix:
	random.seed(lowercase_ )
	A__							:   list[list[float]]					       =		[
	    [random.randint(lowercase_   ,				lowercase_ ) for _ in range(lowercase_ )] for _ in range(lowercase_ )
	]
	return Matrix(lowercase_   ,				lowercase_   ,				lowercase_ )






from argparse import ArgumentParser

from . import BaseTransformersCLICommand

def 						UpperCamelCase (lowercase_:			int )					->				str:
	return DownloadCommand(args.model   ,				args.cache_dir   ,				args.force   ,				args.trust_remote_code )



class    _a						(__magic_name__    ):


					'''simple docstring'''






					@staticmethod
					def   __A      (			A__      ):
						A__							:   Any					       =		parser.add_parser("""download"""      )
						download_parser.add_argument(
						    """--cache-dir"""   ,	type=A__   ,	default=A__   ,	help="""Path to location to store the models"""      )
						download_parser.add_argument(
						    """--force"""   ,	action="""store_true"""   ,	help="""Force the model to be download even if already in cache-dir"""      )
						download_parser.add_argument(
						    """--trust-remote-code"""   ,	action="""store_true"""   ,	help="""Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"""   ,	)
						download_parser.add_argument("""model"""   ,	type=A__   ,	help="""Name of the model to download"""      )
						download_parser.set_defaults(func=A__      )






					def __init__(			self   ,	A__   ,	A__   ,	A__   ,	A__      ):
						A__							:   Union[str, Any]					       =		model
						A__							:   Dict					       =		cache
						A__							:   str					       =		force
						A__							:   Tuple					       =		trust_remote_code






					def   __A      (			self      ):
						from ..models.auto import AutoModel, AutoTokenizer

						AutoModel.from_pretrained(
						    self._model   ,	cache_dir=self._cache   ,	force_download=self._force   ,	trust_remote_code=self._trust_remote_code      )
						AutoTokenizer.from_pretrained(
						    self._model   ,	cache_dir=self._cache   ,	force_download=self._force   ,	trust_remote_code=self._trust_remote_code      )



