


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	=							logging.getLogger(__name__)


@dataclass
@add_start_docstrings(TrainingArguments.__doc__      )
class 	_a							(      UpperCamelCase__      ):
							_lowercase     :      bool  				=			field(default=UpperCamelCase__					,     metadata={'''help''': '''Whether to use SortishSampler or not.'''}      )
							_lowercase     :      bool  				=			field(
							    default=UpperCamelCase__					,     metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}      )
							_lowercase     :      Optional[int]  				=			field(
							    default=UpperCamelCase__					,     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=UpperCamelCase__					,     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=UpperCamelCase__					,     metadata={
							        '''help''': '''Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'''
							    }					,     )

							def 				lowerCamelCase_			(							self:     Tuple							)      ->       Tuple:





									"""simple docstring"""







									lowercase__						=				super().to_dict()
									for k, v in d.items():
											if isinstance(UpperCamelCase_   ,						UpperCamelCase_							):
													lowercase__						=				v.to_dict()
									return d






from collections.abc import Sequence
from queue import Queue


class 	_a							:

							def __init__(							self:     Tuple   ,						UpperCamelCase_:     Optional[int]   ,						UpperCamelCase_:     int   ,						UpperCamelCase_:     Optional[Any]   ,						UpperCamelCase_:     Union[str, Any]=None   ,						UpperCamelCase_:     Dict=None							)      ->       Tuple:





									"""simple docstring"""







									lowercase__						=				start
									lowercase__						=				end
									lowercase__						=				val
									lowercase__						=				(start + end) // 2
									lowercase__						=				left
									lowercase__						=				right


							def __repr__(							self:     Optional[int]							)      ->       Optional[Any]:





									"""simple docstring"""







									return f'SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'


class 	_a							:

							def __init__(							self:     Any   ,						UpperCamelCase_:     Sequence   ,						UpperCamelCase_:     Any							)      ->       List[str]:





									"""simple docstring"""







									lowercase__						=				collection
									lowercase__						=				function
									if self.collection:
											lowercase__						=				self._build_tree(0   ,						len(UpperCamelCase_							) - 1							)

							def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     Union[str, Any]   ,						UpperCamelCase_:     Union[str, Any]							)      ->       Union[str, Any]:





									"""simple docstring"""







									self._update_tree(self.root   ,						UpperCamelCase_   ,						UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     str   ,						UpperCamelCase_:     int   ,						UpperCamelCase_:     List[str]							)      ->       Optional[Any]:





									"""simple docstring"""







									return self._query_range(self.root   ,						UpperCamelCase_   ,						UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     List[str]   ,						UpperCamelCase_:     Tuple   ,						UpperCamelCase_:     Dict							)      ->       str:





									"""simple docstring"""







									if start == end:
											return SegmentTreeNode(UpperCamelCase_   ,						UpperCamelCase_   ,						self.collection[start]							)
									lowercase__						=				(start + end) // 2
									lowercase__						=				self._build_tree(UpperCamelCase_   ,						UpperCamelCase_							)
									lowercase__						=				self._build_tree(mid + 1   ,						UpperCamelCase_							)
									return SegmentTreeNode(UpperCamelCase_   ,						UpperCamelCase_   ,						self.fn(left.val   ,						right.val							)   ,						UpperCamelCase_   ,						UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     List[Any]   ,						UpperCamelCase_:     Dict   ,						UpperCamelCase_:     Tuple   ,						UpperCamelCase_:     Union[str, Any]							)      ->       Dict:





									"""simple docstring"""







									if node.start == i and node.end == i:
											lowercase__						=				val
											return
									if i <= node.mid:
											self._update_tree(node.left   ,						UpperCamelCase_   ,						UpperCamelCase_							)
									else:
											self._update_tree(node.right   ,						UpperCamelCase_   ,						UpperCamelCase_							)
									lowercase__						=				self.fn(node.left.val   ,						node.right.val							)

							def 				lowerCamelCase_			(							self:     List[Any]   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     Dict   ,						UpperCamelCase_:     Dict							)      ->       List[Any]:





									"""simple docstring"""







									if node.start == i and node.end == j:
											return node.val

									if i <= node.mid:
											if j <= node.mid:
													# range in left child tree
													return self._query_range(node.left   ,						UpperCamelCase_   ,						UpperCamelCase_							)
											else:
													# range in left child tree and right child tree
													return self.fn(
													    self._query_range(node.left   ,						UpperCamelCase_   ,						node.mid							)   ,						self._query_range(node.right   ,						node.mid + 1   ,						UpperCamelCase_							)   ,						)
									else:
											# range in right child tree
											return self._query_range(node.right   ,						UpperCamelCase_   ,						UpperCamelCase_							)


							def 				lowerCamelCase_			(							self:     Optional[int]							)      ->       str:





									"""simple docstring"""







									if self.root is not None:
											lowercase__						=				Queue()
											queue.put(self.root							)
											while not queue.empty():
													lowercase__						=				queue.get()
													yield node

													if node.left is not None:
															queue.put(node.left							)

													if node.right is not None:
															queue.put(node.right							)


if __name__ == "__main__":
			import operator

			for fn in [operator.add, max, min]:
						print('*' * 50)
						lowerCAmelCase	=							SegmentTree([2, 1, 5, 3, 4], fn)
						for node in arr.traverse():
									print(node)
						print()

						arr.update(1, 5)
						for node in arr.traverse():
									print(node)
						print()

						print(arr.query_range(3, 4))  # 7
						print(arr.query_range(2, 2))  # 5
						print(arr.query_range(1, 3))  # 13
						print()


