

'''simple docstring'''

from __future__ import annotations

import math





class 							lowercase						:


   def __init__(   self				:	Dict   ,		__lowerCAmelCase				:	int)      ->					Tuple:
         lowercase_     =      size
         # approximate the overall size of segment tree with given value
         lowercase_     =      [0 for i in range(0   ,		4 * size)]
         # create array to store lazy update
         lowercase_     =      [0 for i in range(0   ,		4 * size)]
         lowercase_     =      [0 for i in range(0   ,		4 * size)]  # flag for lazy update


   def __UpperCAmelCase       (   self				:	Dict   ,		__lowerCAmelCase				:	int)      ->					Union[str, Any]:
         return idx * 2


   def __UpperCAmelCase       (   self				:	Tuple   ,		__lowerCAmelCase				:	int)      ->					Optional[int]:
         return idx * 2 + 1


   def __UpperCAmelCase       (   self				:	List[Any]   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	list[int])      ->					Tuple:
         if left_element == right_element:
               lowercase_     =      a[left_element - 1]
         else:
               lowercase_     =      (left_element + right_element) // 2
               self.build(self.left(UpperCAmelCase_)   ,		UpperCAmelCase_   ,		UpperCAmelCase_   ,		UpperCAmelCase_)
               self.build(self.right(UpperCAmelCase_)   ,		mid + 1   ,		UpperCAmelCase_   ,		UpperCAmelCase_)
               lowercase_     =      max(
                   self.segment_tree[self.left(UpperCAmelCase_)]   ,		self.segment_tree[self.right(UpperCAmelCase_)])


   def __UpperCAmelCase       (   self				:	List[Any]   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int)      ->					Dict:
         if self.flag[idx] is True:
               lowercase_     =      self.lazy[idx]
               lowercase_     =      False
               if left_element != right_element:
                     lowercase_     =      self.lazy[idx]
                     lowercase_     =      self.lazy[idx]
                     lowercase_     =      True
                     lowercase_     =      True

         if right_element < a or left_element > b:
               return True
         if left_element >= a and right_element <= b:
               lowercase_     =      val
               if left_element != right_element:
                     lowercase_     =      val
                     lowercase_     =      val
                     lowercase_     =      True
                     lowercase_     =      True
               return True
         lowercase_     =      (left_element + right_element) // 2
         self.update(self.left(UpperCAmelCase_)   ,		UpperCAmelCase_   ,		UpperCAmelCase_   ,		UpperCAmelCase_   ,		UpperCAmelCase_   ,		UpperCAmelCase_)
         self.update(self.right(UpperCAmelCase_)   ,		mid + 1   ,		UpperCAmelCase_   ,		UpperCAmelCase_   ,		UpperCAmelCase_   ,		UpperCAmelCase_)
         lowercase_     =      max(
             self.segment_tree[self.left(UpperCAmelCase_)]   ,		self.segment_tree[self.right(UpperCAmelCase_)])
         return True


   def __UpperCAmelCase       (   self				:	int   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	int)      ->					Tuple:
         if self.flag[idx] is True:
               lowercase_     =      self.lazy[idx]
               lowercase_     =      False
               if left_element != right_element:
                     lowercase_     =      self.lazy[idx]
                     lowercase_     =      self.lazy[idx]
                     lowercase_     =      True
                     lowercase_     =      True
         if right_element < a or left_element > b:
               return -math.inf
         if left_element >= a and right_element <= b:
               return self.segment_tree[idx]
         lowercase_     =      (left_element + right_element) // 2
         lowercase_     =      self.query(self.left(UpperCAmelCase_)   ,		UpperCAmelCase_   ,		UpperCAmelCase_   ,		UpperCAmelCase_   ,		UpperCAmelCase_)
         lowercase_     =      self.query(self.right(UpperCAmelCase_)   ,		mid + 1   ,		UpperCAmelCase_   ,		UpperCAmelCase_   ,		UpperCAmelCase_)
         return max(UpperCAmelCase_   ,		UpperCAmelCase_)


   def __str__(   self				:	List[str])      ->					str:
         return str([self.query(1   ,		1   ,		self.size   ,		UpperCAmelCase_   ,		UpperCAmelCase_) for i in range(1   ,		self.size + 1)])


if __name__ == "__main__":
       lowerCAmelCase_ : Any						  =      [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
       lowerCAmelCase_ : Optional[int]						  =      15
       lowerCAmelCase_ : int						  =      SegmentTree(size)
       segt.build(1, 1, size, A)
       print(segt.query(1, 1, size, 4, 6))
       print(segt.query(1, 1, size, 7, 11))
       print(segt.query(1, 1, size, 7, 12))
       segt.update(1, 1, size, 1, 3, 111)
       print(segt.query(1, 1, size, 1, 15))
       segt.update(1, 1, size, 7, 8, 235)
       print(segt)







'''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


lowerCAmelCase_ : Dict						  =      logging.getLogger(__name__)





@dataclass
@add_start_docstrings(TrainingArguments.__doc__ )
class 							lowercase						(						__lowerCamelCase ):
   lowerCamelCase_    					=field(default=__lowerCamelCase ,				metadata={'help': 'Whether to use SortishSampler or not.'} )
   lowerCamelCase_    					=field(
       default=__lowerCamelCase ,				metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'} )
   lowerCamelCase_    					=field(
       default=__lowerCamelCase ,				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_    					=field(
       default=__lowerCamelCase ,				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_    					=field(
       default=__lowerCamelCase ,				metadata={
           'help': 'Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'
       } ,				)


   def __UpperCAmelCase       (   self				:	Tuple)      ->					Optional[int]:
         lowercase_     =      super().to_dict()
         for k, v in d.items():
               if isinstance(__lowerCAmelCase   ,		__lowerCAmelCase):
                     lowercase_     =      v.to_dict()
         return d






