




'''simple docstring'''







from __future__ import annotations

from collections.abc import MutableSequence







class 					_a :





     '''simple docstring'''



     def __init__(				self							,__a							,__a							)      ->				None:
          if len(lowercase_							) != degree + 1:
               raise ValueError(
                   """The number of coefficients should be equal to the degree + 1."""							)

          snake_case			:      Tuple        =			list(lowercase_							)
          snake_case			:      str        =			degree







     def __add__(				self							,__a							)      ->				Polynomial:

          if self.degree > polynomial_a.degree:
               snake_case			:      List[Any]        =			self.coefficients[:]
               for i in range(polynomial_a.degree + 1							):
                    coefficients[i] += polynomial_a.coefficients[i]
               return Polynomial(self.degree							,lowercase_							)
          else:
               snake_case			:      Optional[Any]        =			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							)      ->				Polynomial:
          return self + polynomial_a * Polynomial(0							,[-1]							)







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







     def __mul__(				self							,__a							)      ->				Polynomial:
          snake_case			:      str        =			[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							)      ->				int | float:
          snake_case			:      List[Any]        =			0
          for i in range(self.degree + 1							):
               result += self.coefficients[i] * (substitution**i)
          return result







     def __str__(				self							)      ->				str:
          snake_case			:      str        =			""""""
          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							)      ->				str:
          return self.__str__()







     def 			snake_case_      (				self							)      ->				Polynomial:
          snake_case			:      int        =			[0] * self.degree
          for i in range(self.degree							):
               snake_case			:      Union[str, Any]        =			self.coefficients[i + 1] * (i + 1)
          return Polynomial(self.degree - 1							,lowercase_							)







     def 			snake_case_      (				self							,__a = 0							)      ->				Polynomial:
          snake_case			:      Tuple        =			[0] * (self.degree + 2)
          snake_case			:      List[str]        =			constant
          for i in range(self.degree + 1							):
               snake_case			:      Optional[int]        =			self.coefficients[i] / (i + 1)
          return Polynomial(self.degree + 1							,lowercase_							)







     def __eq__(				self							,__a							)      ->				bool:
          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							)      ->				bool:
          return not self.__eq__(lowercase_							)










'''simple docstring'''

# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowerCAmelCase				:      Optional[int]						      ={
    "configuration_vivit": ["VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VivitConfig"],
}
try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase				:      int						      =["VivitImageProcessor"]


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase				:      int						      =[
      "VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
      "VivitModel",
      "VivitPreTrainedModel",
      "VivitForVideoClassification",
  ]


if TYPE_CHECKING:
  from .configuration_vivit import VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, VivitConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_vivit import VivitImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_vivit import (
        VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        VivitForVideoClassification,
        VivitModel,
        VivitPreTrainedModel,
    )


else:
  import sys

  __lowerCAmelCase				:      List[Any]						      =_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



