



from __future__ import annotations

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



class  __lowerCAmelCase     :




 def __init__(						self	,				__UpperCAmelCase = None				):



    '''simple docstring'''
    if components is None:
       __lowerCamelCase													=    []
    __lowerCamelCase													=    list(__UpperCAmelCase				)




 def __len__(						self				):



    '''simple docstring'''
    return len(self.__components				)




 def __str__(						self				):



    '''simple docstring'''
    return "(" + ",".join(map(__UpperCAmelCase	,				self.__components				)				) + ")"




 def __add__(						self	,				__UpperCAmelCase				):



    '''simple docstring'''
    __lowerCamelCase													=    len(self				)
    if size == len(__UpperCAmelCase				):
       __lowerCamelCase													=    [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	,				__UpperCAmelCase				):



    '''simple docstring'''
    __lowerCamelCase													=    len(self				)
    if size == len(__UpperCAmelCase				):
       __lowerCamelCase													=    [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	,				__UpperCAmelCase				):



    '''simple docstring'''
    ...




 @overload
 def __mul__(						self	,				__UpperCAmelCase				):



    '''simple docstring'''
    ...




 def __mul__(						self	,				__UpperCAmelCase				):



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




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    return Vector(self.__components				)




 def        lowerCamelCase      (						self	,				__UpperCAmelCase				):



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




 def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase				):



    '''simple docstring'''
    assert -len(self.__components				) <= pos < len(self.__components				)
    __lowerCamelCase													=    value




 def        lowerCamelCase      (						self				):



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




 def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase = False				):



    '''simple docstring'''
    __lowerCamelCase													=    self * other
    __lowerCamelCase													=    self.euclidean_length() * other.euclidean_length()
    if deg:
       return math.degrees(math.acos(num / den				)				)
    else:
       return math.acos(num / den				)





def 		a__			(		_UpperCamelCase			: int							):
   assert isinstance(_UpperCamelCase ,_UpperCamelCase							)
   return Vector([0] * dimension							)





def 		a__			(		_UpperCamelCase			: int ,_UpperCamelCase			: int							):
   assert isinstance(_UpperCamelCase ,_UpperCamelCase							) and (isinstance(_UpperCamelCase ,_UpperCamelCase							))
   __lowerCamelCase													=    [0] * dimension
   __lowerCamelCase													=    1
   return Vector(_UpperCamelCase							)





def 		a__			(		_UpperCamelCase			: float ,_UpperCamelCase			: Vector ,_UpperCamelCase			: Vector							):
   assert (
       isinstance(_UpperCamelCase ,_UpperCamelCase							)
       and isinstance(_UpperCamelCase ,_UpperCamelCase							)
       and (isinstance(_UpperCamelCase ,(int, float)							))
   )
   return x * scalar + y





def 		a__			(		_UpperCamelCase			: int ,_UpperCamelCase			: int ,_UpperCamelCase			: int							):
   random.seed(_UpperCamelCase							)
   __lowerCamelCase													=    [random.randint(_UpperCamelCase ,_UpperCamelCase							) for _ in range(_UpperCamelCase							)]
   return Vector(_UpperCamelCase							)



class  __lowerCAmelCase     :




 def __init__(						self	,				__UpperCAmelCase	,				__UpperCAmelCase	,				__UpperCAmelCase				):



    '''simple docstring'''
    __lowerCamelCase													=    matrix
    __lowerCamelCase													=    w
    __lowerCamelCase													=    h




 def __str__(						self				):



    '''simple docstring'''
    __lowerCamelCase													=    ''''''
    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	,				__UpperCAmelCase				):



    '''simple docstring'''
    if self.__width == other.width() and self.__height == other.height():
       __lowerCamelCase													=    []
       for i in range(self.__height				):
          __lowerCamelCase													=    [
              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	,				__UpperCAmelCase				):



    '''simple docstring'''
    if self.__width == other.width() and self.__height == other.height():
       __lowerCamelCase													=    []
       for i in range(self.__height				):
          __lowerCamelCase													=    [
              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	,				__UpperCAmelCase				):



    '''simple docstring'''
    ...




 @overload
 def __mul__(						self	,				__UpperCAmelCase				):



    '''simple docstring'''
    ...




 def __mul__(						self	,				__UpperCAmelCase				):



    '''simple docstring'''
    if isinstance(__UpperCAmelCase	,				__UpperCAmelCase				):  # matrix-vector
       if len(__UpperCAmelCase				) == self.__width:
          __lowerCamelCase													=    zero_vector(self.__height				)
          for i in range(self.__height				):
             __lowerCamelCase													=    [
                 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
       __lowerCamelCase													=    [
           [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        lowerCamelCase      (						self				):



    '''simple docstring'''
    return self.__height




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    return self.__width




 def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase				):



    '''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        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase	,				__UpperCAmelCase				):



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




 def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase				):



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




 def        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase				):



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




 def        lowerCamelCase      (						self				):



    '''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:
       __lowerCamelCase													=    [
           self.__matrix[0][y] * self.cofactor(0	,				__UpperCAmelCase				) for y in range(self.__width				)
       ]
       return sum(__UpperCAmelCase				)





def 		a__			(		_UpperCamelCase			: int							):
   __lowerCamelCase													=    [[0] * n for _ in range(_UpperCamelCase							)]
   return Matrix(_UpperCamelCase ,_UpperCamelCase ,_UpperCamelCase							)





def 		a__			(		_UpperCamelCase			: int ,_UpperCamelCase			: int ,_UpperCamelCase			: int ,_UpperCamelCase			: int							):
   random.seed(_UpperCamelCase							)
   __lowerCamelCase													=    [
       [random.randint(_UpperCamelCase ,_UpperCamelCase							) for _ in range(_UpperCamelCase							)] for _ in range(_UpperCamelCase							)
   ]
   return Matrix(_UpperCamelCase ,_UpperCamelCase ,_UpperCamelCase							)











from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_			=					{
    """configuration_clipseg""": [
        """CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """CLIPSegConfig""",
        """CLIPSegTextConfig""",
        """CLIPSegVisionConfig""",
    ],
    """processing_clipseg""": ["""CLIPSegProcessor"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a_			=					[
      """CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """CLIPSegModel""",
      """CLIPSegPreTrainedModel""",
      """CLIPSegTextModel""",
      """CLIPSegVisionModel""",
      """CLIPSegForImageSegmentation""",
  ]

if TYPE_CHECKING:
  from .configuration_clipseg import (
      CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
      CLIPSegConfig,
      CLIPSegTextConfig,
      CLIPSegVisionConfig,
  )
  from .processing_clipseg import CLIPSegProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_clipseg import (
        CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
        CLIPSegForImageSegmentation,
        CLIPSegModel,
        CLIPSegPreTrainedModel,
        CLIPSegTextModel,
        CLIPSegVisionModel,
    )

else:
  import sys

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






