

from __future__ import annotations

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






class _UpperCamelCase				:
			'''simple docstring'''







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

				"""simple docstring"""

				if components is None:
					SCREAMING_SNAKE_CASE :   str					  =							[]
				SCREAMING_SNAKE_CASE :   Tuple					  =							list(a						)
			def __len__(      self				:			Optional[int]						)				->							int:

				"""simple docstring"""

				return len(self.__components						)
			def __str__(      self				:			str						)				->							str:

				"""simple docstring"""

				return "(" + ",".join(map(a   ,   self.__components						)						) + ")"
			def __add__(      self				:			Union[str, Any]   ,   a				:			Vector						)				->							Vector:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   Any					  =							len(self						)
				if size == len(a						):
					SCREAMING_SNAKE_CASE :   int					  =							[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				:			List[str]   ,   a				:			Vector						)				->							Vector:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							len(self						)
				if size == len(a						):
					SCREAMING_SNAKE_CASE :   str					  =							[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				:			List[str]   ,   a				:			float						)				->							Vector:

				"""simple docstring"""

				...
			@overload
			def __mul__(      self				:			List[Any]   ,   a				:			Vector						)				->							float:

				"""simple docstring"""

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

				"""simple docstring"""

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

				"""simple docstring"""

				return Vector(self.__components						)
			def 				__UpperCamelCase			(      self				:			Union[str, Any]   ,   a				:			int						)				->							float:

				"""simple docstring"""

				if isinstance(a   ,   a						) and -len(self.__components						) <= i < len(self.__components						):
					return self.__components[i]
				else:
					raise Exception("index out of range"						)
			def 				__UpperCamelCase			(      self				:			str   ,   a				:			int   ,   a				:			float						)				->							None:

				"""simple docstring"""

				assert -len(self.__components						) <= pos < len(self.__components						)
				SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							value
			def 				__UpperCamelCase			(      self				:			str						)				->							float:

				"""simple docstring"""

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






			def 				__UpperCamelCase			(      self				:			int   ,   a				:			Vector   ,   a				:			bool = False						)				->							float:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							self * other
				SCREAMING_SNAKE_CASE :   Tuple					  =							self.euclidean_length() * other.euclidean_length()
				if deg:
					return math.degrees(math.acos(num / den						)						)
				else:
					return math.acos(num / den						)

def 			lowerCamelCase__			(       _a):
	assert isinstance(_a				,      _a)
	return Vector([0] * dimension)

def 			lowerCamelCase__			(       _a				,      _a):
	assert isinstance(_a				,      _a) and (isinstance(_a				,      _a))
	SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							[0] * dimension
	SCREAMING_SNAKE_CASE :   Any					  =							1
	return Vector(_a)

def 			lowerCamelCase__			(       _a				,      _a				,      _a):
	assert (
	    isinstance(_a				,      _a)
	    and isinstance(_a				,      _a)
	    and (isinstance(_a				,      (int, float)))
	)
	return x * scalar + y

def 			lowerCamelCase__			(       _a				,      _a				,      _a):
	random.seed(_a)
	SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							[random.randint(_a				,      _a) for _ in range(_a)]
	return Vector(_a)






class _UpperCamelCase				:
			'''simple docstring'''







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

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   List[str]					  =							matrix
				SCREAMING_SNAKE_CASE :   Optional[int]					  =							w
				SCREAMING_SNAKE_CASE :   Optional[Any]					  =							h
			def __str__(      self				:			Any						)				->							str:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   Dict					  =							""
				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				:			List[Any]   ,   a				:			Matrix						)				->							Matrix:

				"""simple docstring"""

				if self.__width == other.width() and self.__height == other.height():
					SCREAMING_SNAKE_CASE :   Dict					  =							[]
					for i in range(self.__height						):
						SCREAMING_SNAKE_CASE :   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				:			Optional[Any]   ,   a				:			Matrix						)				->							Matrix:

				"""simple docstring"""

				if self.__width == other.width() and self.__height == other.height():
					SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							[]
					for i in range(self.__height						):
						SCREAMING_SNAKE_CASE :   Union[str, 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("matrices must have the same dimension!"						)
			@overload
			def __mul__(      self				:			List[str]   ,   a				:			float						)				->							Matrix:

				"""simple docstring"""

				...
			@overload
			def __mul__(      self				:			Any   ,   a				:			Vector						)				->							Vector:

				"""simple docstring"""

				...
			def __mul__(      self				:			str   ,   a				:			float | Vector						)				->							Vector | Matrix:

				"""simple docstring"""

				if isinstance(a   ,   a						):  # matrix-vector
					if len(a						) == self.__width:
						SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							zero_vector(self.__height						)
						for i in range(self.__height						):
							SCREAMING_SNAKE_CASE :   Optional[int]					  =							[
							    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
					SCREAMING_SNAKE_CASE :   str					  =							[
					    [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 				__UpperCamelCase			(      self				:			Optional[int]						)				->							int:

				"""simple docstring"""

				return self.__height
			def 				__UpperCamelCase			(      self				:			Tuple						)				->							int:

				"""simple docstring"""

				return self.__width
			def 				__UpperCamelCase			(      self				:			Any   ,   a				:			int   ,   a				:			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 				__UpperCamelCase			(      self				:			Tuple   ,   a				:			int   ,   a				:			int   ,   a				:			float						)				->							None:

				"""simple docstring"""

				if 0 <= x < self.__height and 0 <= y < self.__width:
					SCREAMING_SNAKE_CASE :   str					  =							value
				else:
					raise Exception("change_component: indices out of bounds"						)
			def 				__UpperCamelCase			(      self				:			int   ,   a				:			int   ,   a				:			int						)				->							float:

				"""simple docstring"""

				if self.__height != self.__width:
					raise Exception("Matrix is not square"						)
				SCREAMING_SNAKE_CASE :   List[str]					  =							self.__matrix[:x] + self.__matrix[x + 1 :]
				for i in range(len(a						)						):
					SCREAMING_SNAKE_CASE :   Optional[int]					  =							minor[i][:y] + minor[i][y + 1 :]
				return Matrix(a   ,   self.__width - 1   ,   self.__height - 1						).determinant()
			def 				__UpperCamelCase			(      self				:			int   ,   a				:			int   ,   a				:			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(a   ,   a						)
				else:
					raise Exception("Indices out of bounds"						)






			def 				__UpperCamelCase			(      self				:			Dict						)				->							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:
					SCREAMING_SNAKE_CASE :   List[Any]					  =							[
					    self.__matrix[0][y] * self.cofactor(0   ,   a						) for y in range(self.__width						)
					]
					return sum(a						)

def 			lowerCamelCase__			(       _a):
	SCREAMING_SNAKE_CASE :   list[list[float]]					  =							[[0] * n for _ in range(_a)]
	return Matrix(_a				,      _a				,      _a)


def 			lowerCamelCase__			(       _a				,      _a				,      _a				,      _a):
	random.seed(_a)
	SCREAMING_SNAKE_CASE :   list[list[float]]					  =							[
	    [random.randint(_a				,      _a) for _ in range(_a)] for _ in range(_a)
	]
	return Matrix(_a				,      _a				,      _a)


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_      =     {
    'configuration_instructblip': [
        'INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'InstructBlipConfig',
        'InstructBlipQFormerConfig',
        'InstructBlipVisionConfig',
    ],
    'processing_instructblip': ['InstructBlipProcessor'],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a_      =     [
			    'INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'InstructBlipQFormerModel',
			    'InstructBlipPreTrainedModel',
			    'InstructBlipForConditionalGeneration',
			    'InstructBlipVisionModel',
			]

if TYPE_CHECKING:
			from .configuration_instructblip import (
			    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    InstructBlipConfig,
			    InstructBlipQFormerConfig,
			    InstructBlipVisionConfig,
			)
			from .processing_instructblip import InstructBlipProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_instructblip import (
						    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
						    InstructBlipForConditionalGeneration,
						    InstructBlipPreTrainedModel,
						    InstructBlipQFormerModel,
						    InstructBlipVisionModel,
						)

else:
			import sys

			a_      =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)