'''simple docstring'''
from __future__ import annotations

from collections.abc import MutableSequence







class 							A__   :





  def __init__(		self				:     Union[str, Any]							, _a				:     int							, _a				:     MutableSequence[float]			)     ->   Any:





       '''simple docstring'''






       if len(__lowerCAmelCase			) != degree + 1:
            raise ValueError(
                'The number of coefficients should be equal to the degree + 1.'			)

       _SCREAMING_SNAKE_CASE							   =list(__lowerCAmelCase			)
       _SCREAMING_SNAKE_CASE							   =degree





  def __add__(		self				:     List[str]							, _a				:     Polynomial			)     ->   int:





       '''simple docstring'''






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





  def __sub__(		self				:     Union[str, Any]							, _a				:     Polynomial			)     ->   Dict:





       '''simple docstring'''






       return self + polynomial_a * Polynomial(0							, [-1]			)





  def __neg__(		self				:     Dict			)     ->   Optional[Any]:





       '''simple docstring'''






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





  def __mul__(		self				:     Any							, _a				:     Polynomial			)     ->   Tuple:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =[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							, __lowerCAmelCase			)





  def 						A  (		self				:     str							, _a				:     int | float			)     ->   int:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =0
       for i in range(self.degree + 1			):
            result += self.coefficients[i] * (substitution**i)
       return result





  def __str__(		self				:     Dict			)     ->   List[str]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =''
       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(__lowerCAmelCase			)

       return polynomial





  def __repr__(		self				:     List[str]			)     ->   Tuple:





       '''simple docstring'''






       return self.__str__()





  def 						A  (		self				:     Union[str, Any]			)     ->   List[str]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =[0] * self.degree
       for i in range(self.degree			):
            _SCREAMING_SNAKE_CASE							   =self.coefficients[i + 1] * (i + 1)
       return Polynomial(self.degree - 1							, __lowerCAmelCase			)





  def 						A  (		self				:     Any							, _a				:     int | float = 0			)     ->   Tuple:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =[0] * (self.degree + 2)
       _SCREAMING_SNAKE_CASE							   =constant
       for i in range(self.degree + 1			):
            _SCREAMING_SNAKE_CASE							   =self.coefficients[i] / (i + 1)
       return Polynomial(self.degree + 1							, __lowerCAmelCase			)





  def __eq__(		self				:     List[str]							, _a				:     object			)     ->   List[str]:





       '''simple docstring'''






       if not isinstance(__lowerCAmelCase							, __lowerCAmelCase			):
            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				:     Tuple							, _a				:     object			)     ->   Any:





       '''simple docstring'''






       return not self.__eq__(__lowerCAmelCase			)



'''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_efficientnet": [
        "EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "EfficientNetConfig",
        "EfficientNetOnnxConfig",
    ]
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase			:				str 			=					["EfficientNetImageProcessor"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase			:				Tuple 			=					[
         "EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST",
         "EfficientNetForImageClassification",
         "EfficientNetModel",
         "EfficientNetPreTrainedModel",
     ]

if TYPE_CHECKING:
     from .configuration_efficientnet import (
         EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP,
         EfficientNetConfig,
         EfficientNetOnnxConfig,
     )

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .image_processing_efficientnet import EfficientNetImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_efficientnet import (
              EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST,
              EfficientNetForImageClassification,
              EfficientNetModel,
              EfficientNetPreTrainedModel,
          )

else:
     import sys

     lowerCamelCase			:				int 			=					_LazyModule(__name__, globals()["__file__"], _import_structure)
