






'''simple docstring'''



from __future__ import annotations

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






class 	UpperCamelCase__:




				def __init__(		self      :			int				,   lowerCAmelCase      :			Collection[float] | None = None				)->					None:

										"""simple docstring"""




										if components is None:
																UpperCAmelCase					    =     []
										UpperCAmelCase					    =     list(lowerCAmelCase				)




				def __len__(		self      :			List[Any]				)->					int:

										"""simple docstring"""




										return len(self.__components				)




				def __str__(		self      :			int				)->					str:

										"""simple docstring"""




										return "(" + ",".join(map(lowerCAmelCase				,   self.__components				)				) + ")"




				def __add__(		self      :			Tuple				,   lowerCAmelCase      :			Vector				)->					Vector:

										"""simple docstring"""




										UpperCAmelCase					    =     len(self				)
										if size == len(lowerCAmelCase				):
																UpperCAmelCase					    =     [self.__components[i] + other.component(lowerCAmelCase				) for i in range(lowerCAmelCase				)]
																return Vector(lowerCAmelCase				)
										else:
																raise Exception('''must have the same size'''				)




				def __sub__(		self      :			int				,   lowerCAmelCase      :			Vector				)->					Vector:

										"""simple docstring"""




										UpperCAmelCase					    =     len(self				)
										if size == len(lowerCAmelCase				):
																UpperCAmelCase					    =     [self.__components[i] - other.component(lowerCAmelCase				) for i in range(lowerCAmelCase				)]
																return Vector(lowerCAmelCase				)
										else:  # error case
																raise Exception('''must have the same size'''				)




				@overload
				def __mul__(		self      :			int				,   lowerCAmelCase      :			float				)->					Vector:

										"""simple docstring"""




										...




				@overload
				def __mul__(		self      :			Tuple				,   lowerCAmelCase      :			Vector				)->					float:

										"""simple docstring"""




										...




				def __mul__(		self      :			Optional[int]				,   lowerCAmelCase      :			float | Vector				)->					float | Vector:

										"""simple docstring"""




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




				def 					a__(		self      :			Union[str, Any]				)->					Vector:

										"""simple docstring"""




										return Vector(self.__components				)




				def 					a__(		self      :			List[Any]				,   lowerCAmelCase      :			int				)->					float:

										"""simple docstring"""




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




				def 					a__(		self      :			Any				,   lowerCAmelCase      :			int				,   lowerCAmelCase      :			float				)->					None:

										"""simple docstring"""




										assert -len(self.__components				) <= pos < len(self.__components				)
										UpperCAmelCase					    =     value




				def 					a__(		self      :			int				)->					float:

										"""simple docstring"""




										if len(self.__components				) == 0:
																raise Exception('''Vector is empty'''				)
										UpperCAmelCase					    =     [c**2 for c in self.__components]
										return math.sqrt(sum(lowerCAmelCase				)				)





				def 					a__(		self      :			Optional[int]				,   lowerCAmelCase      :			Vector				,   lowerCAmelCase      :			bool = False				)->					float:

										"""simple docstring"""




										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__				(	A       :      int					):




						'''simple docstring'''






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


def 				lowerCamelCase__				(	A       :      int				,       A       :      int					):




						'''simple docstring'''






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


def 				lowerCamelCase__				(	A       :      float				,       A       :      Vector				,       A       :      Vector					):




						'''simple docstring'''






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


def 				lowerCamelCase__				(	A       :      int				,       A       :      int				,       A       :      int					):




						'''simple docstring'''






						random.seed(A					)
						UpperCAmelCase					    =     [random.randint(A				,       A					) for _ in range(A					)]
						return Vector(A					)






class 	UpperCamelCase__:




				def __init__(		self      :			Tuple				,   lowerCAmelCase      :			list[list[float]]				,   lowerCAmelCase      :			int				,   lowerCAmelCase      :			int				)->					None:

										"""simple docstring"""




										UpperCAmelCase					    =     matrix
										UpperCAmelCase					    =     w
										UpperCAmelCase					    =     h




				def __str__(		self      :			int				)->					str:

										"""simple docstring"""




										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      :			Any				,   lowerCAmelCase      :			Matrix				)->					Matrix:

										"""simple docstring"""




										if self.__width == other.width() and self.__height == other.height():
																UpperCAmelCase					    =     []
																for i in range(self.__height				):
																						UpperCAmelCase					    =     [
																						    self.__matrix[i][j] + other.component(lowerCAmelCase				,   lowerCAmelCase				)
																						    for j in range(self.__width				)
																						]
																						matrix.append(lowerCAmelCase				)
																return Matrix(lowerCAmelCase				,   self.__width				,   self.__height				)
										else:
																raise Exception('''matrix must have the same dimension!'''				)




				def __sub__(		self      :			int				,   lowerCAmelCase      :			Matrix				)->					Matrix:

										"""simple docstring"""




										if self.__width == other.width() and self.__height == other.height():
																UpperCAmelCase					    =     []
																for i in range(self.__height				):
																						UpperCAmelCase					    =     [
																						    self.__matrix[i][j] - other.component(lowerCAmelCase				,   lowerCAmelCase				)
																						    for j in range(self.__width				)
																						]
																						matrix.append(lowerCAmelCase				)
																return Matrix(lowerCAmelCase				,   self.__width				,   self.__height				)
										else:
																raise Exception('''matrices must have the same dimension!'''				)




				@overload
				def __mul__(		self      :			Tuple				,   lowerCAmelCase      :			float				)->					Matrix:

										"""simple docstring"""




										...




				@overload
				def __mul__(		self      :			List[str]				,   lowerCAmelCase      :			Vector				)->					Vector:

										"""simple docstring"""




										...




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

										"""simple docstring"""




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




				def 					a__(		self      :			Dict				)->					int:

										"""simple docstring"""




										return self.__height




				def 					a__(		self      :			Optional[int]				)->					int:

										"""simple docstring"""




										return self.__width




				def 					a__(		self      :			List[Any]				,   lowerCAmelCase      :			int				,   lowerCAmelCase      :			int				)->					float:

										"""simple docstring"""




										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      :			Any				,   lowerCAmelCase      :			int				,   lowerCAmelCase      :			int				,   lowerCAmelCase      :			float				)->					None:

										"""simple docstring"""




										if 0 <= x < self.__height and 0 <= y < self.__width:
																UpperCAmelCase					    =     value
										else:
																raise Exception('''change_component: indices out of bounds'''				)




				def 					a__(		self      :			Optional[Any]				,   lowerCAmelCase      :			int				,   lowerCAmelCase      :			int				)->					float:

										"""simple docstring"""




										if self.__height != self.__width:
																raise Exception('''Matrix is not square'''				)
										UpperCAmelCase					    =     self.__matrix[:x] + self.__matrix[x + 1 :]
										for i in range(len(lowerCAmelCase				)				):
																UpperCAmelCase					    =     minor[i][:y] + minor[i][y + 1 :]
										return Matrix(lowerCAmelCase				,   self.__width - 1				,   self.__height - 1				).determinant()




				def 					a__(		self      :			Union[str, Any]				,   lowerCAmelCase      :			int				,   lowerCAmelCase      :			int				)->					float:

										"""simple docstring"""




										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(lowerCAmelCase				,   lowerCAmelCase				)
										else:
																raise Exception('''Indices out of bounds'''				)





				def 					a__(		self      :			Optional[Any]				)->					float:

										"""simple docstring"""




										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				,   lowerCAmelCase				) for y in range(self.__width				)
																]
																return sum(lowerCAmelCase				)







def 				lowerCamelCase__				(	A       :      int					):




						'''simple docstring'''






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




def 				lowerCamelCase__				(	A       :      int				,       A       :      int				,       A       :      int				,       A       :      int					):




						'''simple docstring'''






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









'''simple docstring'''



import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding






class 	UpperCamelCase__(       lowerCAmelCase	):
				__magic_name__    :				List[Any]  		=	["image_processor", "tokenizer"]
				__magic_name__    :				Tuple  		=	"ViTImageProcessor"
				__magic_name__    :				int  		=	("CLIPTokenizer", "CLIPTokenizerFast")




				def __init__(		self      :			List[str]				,   lowerCAmelCase      :			Tuple=None				,   lowerCAmelCase      :			List[str]=None				,   **lowerCAmelCase      :			Optional[int]				)->					Tuple:

										"""simple docstring"""




										UpperCAmelCase					    =     None
										if "feature_extractor" in kwargs:
																warnings.warn(
																    '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
																    ''' instead.'''				,   lowerCAmelCase				,   )
																UpperCAmelCase					    =     kwargs.pop('''feature_extractor'''				)

										UpperCAmelCase					    =     image_processor if image_processor is not None else feature_extractor
										if image_processor is None:
																raise ValueError('''You need to specify an `image_processor`.'''				)
										if tokenizer is None:
																raise ValueError('''You need to specify a `tokenizer`.'''				)

										super().__init__(lowerCAmelCase				,   lowerCAmelCase				)




				def __call__(		self      :			int				,   lowerCAmelCase      :			Dict=None				,   lowerCAmelCase      :			Optional[int]=None				,   lowerCAmelCase      :			Union[str, Any]=None				,   lowerCAmelCase      :			int=None				,   **lowerCAmelCase      :			Tuple				)->					Optional[int]:

										"""simple docstring"""




										if text is None and visual_prompt is None and images is None:
																raise ValueError('''You have to specify either text, visual prompt or images.'''				)

										if text is not None and visual_prompt is not None:
																raise ValueError('''You have to specify exactly one type of prompt. Either text or visual prompt.'''				)

										if text is not None:
																UpperCAmelCase					    =     self.tokenizer(lowerCAmelCase				,   return_tensors=lowerCAmelCase				,   **lowerCAmelCase				)

										if visual_prompt is not None:
																UpperCAmelCase					    =     self.image_processor(lowerCAmelCase				,   return_tensors=lowerCAmelCase				,   **lowerCAmelCase				)

										if images is not None:
																UpperCAmelCase					    =     self.image_processor(lowerCAmelCase				,   return_tensors=lowerCAmelCase				,   **lowerCAmelCase				)

										if visual_prompt is not None and images is not None:
																UpperCAmelCase					    =     {
																    '''pixel_values''': image_features.pixel_values,
																    '''conditional_pixel_values''': prompt_features.pixel_values,
																}
																return encoding
										elif text is not None and images is not None:
																UpperCAmelCase					    =     image_features.pixel_values
																return encoding
										elif text is not None:
																return encoding
										elif visual_prompt is not None:
																UpperCAmelCase					    =     {
																    '''conditional_pixel_values''': prompt_features.pixel_values,
																}
																return encoding
										else:
																return BatchEncoding(data=dict(**lowerCAmelCase				)				,   tensor_type=lowerCAmelCase				)




				def 					a__(		self      :			Optional[int]				,   *lowerCAmelCase      :			List[str]				,   **lowerCAmelCase      :			Dict				)->					Tuple:

										"""simple docstring"""




										return self.tokenizer.batch_decode(*lowerCAmelCase				,   **lowerCAmelCase				)




				def 					a__(		self      :			List[Any]				,   *lowerCAmelCase      :			str				,   **lowerCAmelCase      :			List[Any]				)->					Optional[Any]:

										"""simple docstring"""




										return self.tokenizer.decode(*lowerCAmelCase				,   **lowerCAmelCase				)




				@property
				def 					a__(		self      :			Any				)->					Optional[int]:

										"""simple docstring"""




										warnings.warn(
										    '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''				,   lowerCAmelCase				,   )
										return self.image_processor_class





				@property
				def 					a__(		self      :			str				)->					List[Any]:

										"""simple docstring"""




										warnings.warn(
										    '''`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'''				,   lowerCAmelCase				,   )
										return self.image_processor





