


'''simple docstring'''




from __future__ import annotations

from collections.abc import MutableSequence

class 		UpperCAmelCase_      :





     def __init__( self       :      Dict    ,      UpperCAmelCase__       :      int    ,      UpperCAmelCase__       :      MutableSequence[float]    )				->  None:
        if len(UpperCAmelCase__    ) != degree + 1:
           raise ValueError(
               'The number of coefficients should be equal to the degree + 1.'    )

        lowerCAmelCase     =			list(UpperCAmelCase__    )
        lowerCAmelCase     =			degree





     def __add__( self       :      Any    ,      UpperCAmelCase__       :      Polynomial    )				->  Polynomial:

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





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





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





     def __mul__( self       :      int    ,      UpperCAmelCase__       :      Polynomial    )				->  Polynomial:
        lowerCAmelCase     =			[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    ,      UpperCAmelCase__    )





     def 							__UpperCAmelCase      ( self       :      Union[str, Any]    ,      UpperCAmelCase__       :      int | float    )				->  int | float:
        lowerCAmelCase     =			0
        for i in range(self.degree + 1    ):
           result += self.coefficients[i] * (substitution**i)
        return result





     def __str__( self       :      List[Any]    )				->  str:
        lowerCAmelCase     =			''
        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(UpperCAmelCase__    )

        return polynomial





     def __repr__( self       :      str    )				->  str:
        return self.__str__()





     def 							__UpperCAmelCase      ( self       :      Optional[Any]    )				->  Polynomial:
        lowerCAmelCase     =			[0] * self.degree
        for i in range(self.degree    ):
           lowerCAmelCase     =			self.coefficients[i + 1] * (i + 1)
        return Polynomial(self.degree - 1    ,      UpperCAmelCase__    )





     def 							__UpperCAmelCase      ( self       :      Optional[int]    ,      UpperCAmelCase__       :      int | float = 0    )				->  Polynomial:
        lowerCAmelCase     =			[0] * (self.degree + 2)
        lowerCAmelCase     =			constant
        for i in range(self.degree + 1    ):
           lowerCAmelCase     =			self.coefficients[i] / (i + 1)
        return Polynomial(self.degree + 1    ,      UpperCAmelCase__    )





     def __eq__( self       :      List[str]    ,      UpperCAmelCase__       :      object    )				->  bool:
        if not isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    ):
           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       :      int    ,      UpperCAmelCase__       :      object    )				->  bool:
        return not self.__eq__(UpperCAmelCase__    )









'''simple docstring'''




import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


__snake_case    						=logging.getLogger(__name__)

@dataclass
@add_start_docstrings(TrainingArguments.__doc__		)
class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	bool		=     field(default=__lowercase       ,	metadata={'''help''': '''Whether to use SortishSampler or not.'''}		)
     lowerCamelCase				:	bool		=     field(
         default=__lowercase       ,	metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}		)
     lowerCamelCase				:	Optional[int]		=     field(
         default=__lowercase       ,	metadata={
             '''help''': (
                 '''The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
                 '''to the `max_length` value of the model configuration.'''
             )
         }       ,	)
     lowerCamelCase				:	Optional[int]		=     field(
         default=__lowercase       ,	metadata={
             '''help''': (
                 '''The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
                 '''to the `num_beams` value of the model configuration.'''
             )
         }       ,	)
     lowerCamelCase				:	Optional[Union[str, Path, GenerationConfig]]		=     field(
         default=__lowercase       ,	metadata={
             '''help''': '''Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'''
         }       ,	)





     def 							__UpperCAmelCase      ( self       :      Dict    )				->  List[str]:
        lowerCAmelCase     =			super().to_dict()
        for k, v in d.items():
           if isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    ):
              lowerCAmelCase     =			v.to_dict()
        return d





