






"""simple docstring"""





from __future__ import annotations

import math



class       __A		:

					def __init__(			self  :      Optional[Any]     ,		__snake_case  :      int					)			->							None:
											__magic_name__:	Optional[int]							=       size
											# approximate the overall size of segment tree with given value
											__magic_name__:	str							=       [0 for i in range(0     ,		4 * size					)]
											# create array to store lazy update
											__magic_name__:	Dict							=       [0 for i in range(0     ,		4 * size					)]
											__magic_name__:	Optional[int]							=       [0 for i in range(0     ,		4 * size					)]  # flag for lazy update

					def   lowerCamelCase__   (			self  :      str     ,		__snake_case  :      int					)			->							int:
											return idx * 2

					def   lowerCamelCase__   (			self  :      Dict     ,		__snake_case  :      int					)			->							int:
											return idx * 2 + 1

					def   lowerCamelCase__   (			self  :      Tuple     ,		__snake_case  :      int     ,		__snake_case  :      int     ,		__snake_case  :      int     ,		__snake_case  :      list[int]					)			->							None:
											if left_element == right_element:
																	__magic_name__:	List[Any]							=       a[left_element - 1]
											else:
																	__magic_name__:	Any							=       (left_element + right_element) // 2
																	self.build(self.left(__snake_case					)     ,		__snake_case     ,		__snake_case     ,		__snake_case					)
																	self.build(self.right(__snake_case					)     ,		mid + 1     ,		__snake_case     ,		__snake_case					)
																	__magic_name__:	List[str]							=       max(
																	    self.segment_tree[self.left(__snake_case					)]     ,		self.segment_tree[self.right(__snake_case					)]					)

					def   lowerCamelCase__   (			self  :      Tuple     ,		__snake_case  :      int     ,		__snake_case  :      int     ,		__snake_case  :      int     ,		__snake_case  :      int     ,		__snake_case  :      int     ,		__snake_case  :      int					)			->							bool:
											if self.flag[idx] is True:
																	__magic_name__:	int							=       self.lazy[idx]
																	__magic_name__:	Any							=       False
																	if left_element != right_element:
																							__magic_name__:	Optional[Any]							=       self.lazy[idx]
																							__magic_name__:	Dict							=       self.lazy[idx]
																							__magic_name__:	Dict							=       True
																							__magic_name__:	Optional[int]							=       True

											if right_element < a or left_element > b:
																	return True
											if left_element >= a and right_element <= b:
																	__magic_name__:	Optional[Any]							=       val
																	if left_element != right_element:
																							__magic_name__:	Dict							=       val
																							__magic_name__:	Dict							=       val
																							__magic_name__:	Union[str, Any]							=       True
																							__magic_name__:	List[Any]							=       True
																	return True
											__magic_name__:	int							=       (left_element + right_element) // 2
											self.update(self.left(__snake_case					)     ,		__snake_case     ,		__snake_case     ,		__snake_case     ,		__snake_case     ,		__snake_case					)
											self.update(self.right(__snake_case					)     ,		mid + 1     ,		__snake_case     ,		__snake_case     ,		__snake_case     ,		__snake_case					)
											__magic_name__:	List[str]							=       max(
											    self.segment_tree[self.left(__snake_case					)]     ,		self.segment_tree[self.right(__snake_case					)]					)
											return True

					def   lowerCamelCase__   (			self  :      Optional[int]     ,		__snake_case  :      int     ,		__snake_case  :      int     ,		__snake_case  :      int     ,		__snake_case  :      int     ,		__snake_case  :      int					)			->							int | float:
											if self.flag[idx] is True:
																	__magic_name__:	List[str]							=       self.lazy[idx]
																	__magic_name__:	str							=       False
																	if left_element != right_element:
																							__magic_name__:	int							=       self.lazy[idx]
																							__magic_name__:	Dict							=       self.lazy[idx]
																							__magic_name__:	List[str]							=       True
																							__magic_name__:	List[Any]							=       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]
											__magic_name__:	Optional[Any]							=       (left_element + right_element) // 2
											__magic_name__:	Union[str, Any]							=       self.query(self.left(__snake_case					)     ,		__snake_case     ,		__snake_case     ,		__snake_case     ,		__snake_case					)
											__magic_name__:	List[str]							=       self.query(self.right(__snake_case					)     ,		mid + 1     ,		__snake_case     ,		__snake_case     ,		__snake_case					)
											return max(__snake_case     ,		__snake_case					)






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


if __name__ == "__main__":
							__lowerCamelCase							=  [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
							__lowerCamelCase							=  15
							__lowerCamelCase							=  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, 1_11)
							print(segt.query(1, 1, size, 1, 15))
							segt.update(1, 1, size, 7, 8, 2_35)
							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


__UpperCAmelCase       							=				logging.getLogger(__name__)




@dataclass
@add_start_docstrings(TrainingArguments.__doc__    )
class 						a__							(				a__    ):





							'''simple docstring'''






							lowercase__     :  bool      		= field(default=a__							,							metadata={"help": "Whether to use SortishSampler or not."}    )
							lowercase__     :  bool      		= field(
							    default=a__							,							metadata={"help": "Whether to use generate to calculate generative metrics (ROUGE, BLEU)."}    )
							lowercase__     :  Optional[int]      		= field(
							    default=a__							,							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."
							        )
							    }							,							)
							lowercase__     :  Optional[int]      		= field(
							    default=a__							,							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."
							        )
							    }							,							)
							lowercase__     :  Optional[Union[str, Path, GenerationConfig]]      		= field(
							    default=a__							,							metadata={
							        "help": "Model id, file path or url pointing to a GenerationConfig json file, to use during prediction."
							    }							,							)







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Dict:
														lowerCAmelCase__			  =      super().to_dict()
														for k, v in d.items():
																					if isinstance(lowerCamelCase_   ,       lowerCamelCase_  ):
																												lowerCAmelCase__			  =      v.to_dict()
														return d