



from __future__ import annotations

from collections.abc import MutableSequence



class     _UpperCAmelCase			:




     def __init__(				self ,						a__ ,						a__):
         if len(lowercase_) != degree + 1:
             raise ValueError(
                 '''The number of coefficients should be equal to the degree + 1.''')

         A__		 =					list(lowercase_)
         A__		 =					degree




     def __add__(				self ,						a__):

         if self.degree > polynomial_a.degree:
             A__		 =					self.coefficients[:]
             for i in range(polynomial_a.degree + 1):
                 coefficients[i] += polynomial_a.coefficients[i]
             return Polynomial(self.degree ,						lowercase_)
         else:
             A__		 =					polynomial_a.coefficients[:]
             for i in range(self.degree + 1):
                 coefficients[i] += self.coefficients[i]
             return Polynomial(polynomial_a.degree ,						lowercase_)




     def __sub__(				self ,						a__):
         return self + polynomial_a * Polynomial(0 ,						[-1])




     def __neg__(				self):
         return Polynomial(self.degree ,						[-c for c in self.coefficients])




     def __mul__(				self ,						a__):
         A__		 =					[0] * (self.degree + polynomial_a.degree + 1)
         for i in range(self.degree + 1):
             for j in range(polynomial_a.degree + 1):
                 coefficients[i + j] += (
                     self.coefficients[i] * polynomial_a.coefficients[j]
                 )

         return Polynomial(self.degree + polynomial_a.degree ,						lowercase_)




     def 		snake_case_		(				self ,						a__):
         A__		 =					0
         for i in range(self.degree + 1):
             result += self.coefficients[i] * (substitution**i)
         return result




     def __str__(				self):
         A__		 =					""
         for i in range(self.degree ,						-1 ,						-1):
             if self.coefficients[i] == 0:
                 continue
             elif self.coefficients[i] > 0:
                 if polynomial:
                     polynomial += " + "
             else:
                 polynomial += " - "

             if i == 0:
                 polynomial += str(abs(self.coefficients[i]))
             elif i == 1:
                 polynomial += str(abs(self.coefficients[i])) + "x"
             else:
                 polynomial += str(abs(self.coefficients[i])) + "x^" + str(lowercase_)

         return polynomial




     def __repr__(				self):
         return self.__str__()




     def 		snake_case_		(				self):
         A__		 =					[0] * self.degree
         for i in range(self.degree):
             A__		 =					self.coefficients[i + 1] * (i + 1)
         return Polynomial(self.degree - 1 ,						lowercase_)




     def 		snake_case_		(				self ,						a__ = 0):
         A__		 =					[0] * (self.degree + 2)
         A__		 =					constant
         for i in range(self.degree + 1):
             A__		 =					self.coefficients[i] / (i + 1)
         return Polynomial(self.degree + 1 ,						lowercase_)




     def __eq__(				self ,						a__):
         if not isinstance(lowercase_ ,						lowercase_):
             return False

         if self.degree != polynomial_a.degree:
             return False

         for i in range(self.degree + 1):
             if self.coefficients[i] != polynomial_a.coefficients[i]:
                 return False

         return True




     def __ne__(				self ,						a__):
         return not self.__eq__(lowercase_)








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


_lowercase						  =		{
    "configuration_mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTConfig", "MobileViTOnnxConfig"],
}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowercase						  =		["MobileViTFeatureExtractor"]
   _lowercase						  =		["MobileViTImageProcessor"]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowercase						  =		[
       "MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
       "MobileViTForImageClassification",
       "MobileViTForSemanticSegmentation",
       "MobileViTModel",
       "MobileViTPreTrainedModel",
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowercase						  =		[
       "TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
       "TFMobileViTForImageClassification",
       "TFMobileViTForSemanticSegmentation",
       "TFMobileViTModel",
       "TFMobileViTPreTrainedModel",
   ]

if TYPE_CHECKING:
   from .configuration_mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig, MobileViTOnnxConfig

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_mobilevit import MobileViTFeatureExtractor
      from .image_processing_mobilevit import MobileViTImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mobilevit import (
          MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
          MobileViTForImageClassification,
          MobileViTForSemanticSegmentation,
          MobileViTModel,
          MobileViTPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_mobilevit import (
          TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFMobileViTForImageClassification,
          TFMobileViTForSemanticSegmentation,
          TFMobileViTModel,
          TFMobileViTPreTrainedModel,
      )


else:
   import sys

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