



from __future__ import annotations

import unittest
from collections.abc import Iterator


class 	snake_case_			:




       """simple docstring"""






       def __init__(  self  ,lowercase  ,lowercase):

             """simple docstring"""





             UpperCAmelCase_	:						Tuple					   =		label
             UpperCAmelCase_	:						Union[str, Any]					   =		parent
             UpperCAmelCase_	:						Node | None					   =		None
             UpperCAmelCase_	:						Node | None					   =		None


class 	snake_case_			:




       """simple docstring"""






       def __init__(  self):

             """simple docstring"""





             UpperCAmelCase_	:						Node | None					   =		None



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						str					   =		None



       def 			A_ (  self):

             """simple docstring"""





             return self.root is None



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             UpperCAmelCase_	:						Dict					   =		self._put(self.root  ,lowercase)



       def 			A_ (  self  ,lowercase  ,lowercase  ,lowercase = None):

             """simple docstring"""





             if node is None:
                   UpperCAmelCase_	:						int					   =		Node(lowercase  ,lowercase)
             else:
                   if label < node.label:
                         UpperCAmelCase_	:						Optional[int]					   =		self._put(node.left  ,lowercase  ,lowercase)
                   elif label > node.label:
                         UpperCAmelCase_	:						Any					   =		self._put(node.right  ,lowercase  ,lowercase)
                   else:
                         UpperCAmelCase_	:						List[Any]					   =		F"""Node with label {label} already exists"""
                         raise Exception(lowercase)

             return node



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             return self._search(self.root  ,lowercase)



       def 			A_ (  self  ,lowercase  ,lowercase):

             """simple docstring"""





             if node is None:
                   UpperCAmelCase_	:						List[Any]					   =		F"""Node with label {label} does not exist"""
                   raise Exception(lowercase)
             else:
                   if label < node.label:
                         UpperCAmelCase_	:						List[str]					   =		self._search(node.left  ,lowercase)
                   elif label > node.label:
                         UpperCAmelCase_	:						Any					   =		self._search(node.right  ,lowercase)

             return node



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             UpperCAmelCase_	:						str					   =		self.search(lowercase)
             if node.right and node.left:
                   UpperCAmelCase_	:						Dict					   =		self._get_lowest_node(node.right)
                   UpperCAmelCase_	:						List[Any]					   =		node.left
                   UpperCAmelCase_	:						Optional[Any]					   =		node.right
                   UpperCAmelCase_	:						List[Any]					   =		lowest_node
                   if node.right:
                         UpperCAmelCase_	:						Dict					   =		lowest_node
                   self._reassign_nodes(lowercase  ,lowercase)
             elif not node.right and node.left:
                   self._reassign_nodes(lowercase  ,node.left)
             elif node.right and not node.left:
                   self._reassign_nodes(lowercase  ,node.right)
             else:
                   self._reassign_nodes(lowercase  ,lowercase)



       def 			A_ (  self  ,lowercase  ,lowercase):

             """simple docstring"""





             if new_children:
                   UpperCAmelCase_	:						Optional[int]					   =		node.parent

             if node.parent:
                   if node.parent.right == node:
                         UpperCAmelCase_	:						Optional[int]					   =		new_children
                   else:
                         UpperCAmelCase_	:						Union[str, Any]					   =		new_children
             else:
                   UpperCAmelCase_	:						Dict					   =		new_children



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             if node.left:
                   UpperCAmelCase_	:						int					   =		self._get_lowest_node(node.left)
             else:
                   UpperCAmelCase_	:						Any					   =		node
                   self._reassign_nodes(lowercase  ,node.right)

             return lowest_node



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             try:
                   self.search(lowercase)
                   return True
             except Exception:
                   return False



       def 			A_ (  self):

             """simple docstring"""





             if self.root is None:
                   raise Exception("Binary search tree is empty")

             UpperCAmelCase_	:						Dict					   =		self.root
             while node.right is not None:
                   UpperCAmelCase_	:						List[str]					   =		node.right

             return node.label



       def 			A_ (  self):

             """simple docstring"""





             if self.root is None:
                   raise Exception("Binary search tree is empty")

             UpperCAmelCase_	:						Union[str, Any]					   =		self.root
             while node.left is not None:
                   UpperCAmelCase_	:						Optional[Any]					   =		node.left

             return node.label



       def 			A_ (  self):

             """simple docstring"""





             return self._inorder_traversal(self.root)



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             if node is not None:
                   yield from self._inorder_traversal(node.left)
                   yield node
                   yield from self._inorder_traversal(node.right)



       def 			A_ (  self):

             """simple docstring"""





             return self._preorder_traversal(self.root)



       def 			A_ (  self  ,lowercase):

             """simple docstring"""





             if node is not None:
                   yield node
                   yield from self._preorder_traversal(node.left)
                   yield from self._preorder_traversal(node.right)


class 	snake_case_			(unittest.TestCase	):




       """simple docstring"""






       @staticmethod
       def 			A_ (  ):

             """simple docstring"""





             UpperCAmelCase_	:						List[str]					   =		BinarySearchTree()
             t.put(8)
             t.put(3)
             t.put(6)
             t.put(1)
             t.put(10)
             t.put(14)
             t.put(13)
             t.put(4)
             t.put(7)
             t.put(5)

             return t



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						str					   =		BinarySearchTree()
             assert t.is_empty()

             t.put(8)
             assert t.root is not None
             assert t.root.parent is None
             assert t.root.label == 8

             t.put(10)
             assert t.root.right is not None
             assert t.root.right.parent == t.root
             assert t.root.right.label == 10

             t.put(3)
             assert t.root.left is not None
             assert t.root.left.parent == t.root
             assert t.root.left.label == 3

             t.put(6)
             assert t.root.left.right is not None
             assert t.root.left.right.parent == t.root.left
             assert t.root.left.right.label == 6

             t.put(1)
             assert t.root.left.left is not None
             assert t.root.left.left.parent == t.root.left
             assert t.root.left.left.label == 1

             with self.assertRaises(lowercase):  # noqa: B017
                   t.put(1)



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						Tuple					   =		self._get_binary_search_tree()

             UpperCAmelCase_	:						Tuple					   =		t.search(6)
             assert node.label == 6

             UpperCAmelCase_	:						Dict					   =		t.search(13)
             assert node.label == 13

             with self.assertRaises(lowercase):  # noqa: B017
                   t.search(2)



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						int					   =		self._get_binary_search_tree()

             t.remove(13)
             assert t.root is not None
             assert t.root.right is not None
             assert t.root.right.right is not None
             assert t.root.right.right.right is None
             assert t.root.right.right.left is None

             t.remove(7)
             assert t.root.left is not None
             assert t.root.left.right is not None
             assert t.root.left.right.left is not None
             assert t.root.left.right.right is None
             assert t.root.left.right.left.label == 4

             t.remove(6)
             assert t.root.left.left is not None
             assert t.root.left.right.right is not None
             assert t.root.left.left.label == 1
             assert t.root.left.right.label == 4
             assert t.root.left.right.right.label == 5
             assert t.root.left.right.left is None
             assert t.root.left.left.parent == t.root.left
             assert t.root.left.right.parent == t.root.left

             t.remove(3)
             assert t.root is not None
             assert t.root.left.label == 4
             assert t.root.left.right.label == 5
             assert t.root.left.left.label == 1
             assert t.root.left.parent == t.root
             assert t.root.left.left.parent == t.root.left
             assert t.root.left.right.parent == t.root.left

             t.remove(4)
             assert t.root.left is not None
             assert t.root.left.left is not None
             assert t.root.left.label == 5
             assert t.root.left.right is None
             assert t.root.left.left.label == 1
             assert t.root.left.parent == t.root
             assert t.root.left.left.parent == t.root.left



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						int					   =		self._get_binary_search_tree()

             t.remove(3)
             assert t.root is not None
             assert t.root.left is not None
             assert t.root.left.left is not None
             assert t.root.left.right is not None
             assert t.root.left.right.left is not None
             assert t.root.left.right.right is not None
             assert t.root.left.label == 4
             assert t.root.left.right.label == 6
             assert t.root.left.left.label == 1
             assert t.root.left.right.right.label == 7
             assert t.root.left.right.left.label == 5
             assert t.root.left.parent == t.root
             assert t.root.left.right.parent == t.root.left
             assert t.root.left.left.parent == t.root.left
             assert t.root.left.right.left.parent == t.root.left.right



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						int					   =		self._get_binary_search_tree()
             t.empty()
             assert t.root is None



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						Tuple					   =		self._get_binary_search_tree()
             assert not t.is_empty()

             t.empty()
             assert t.is_empty()



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						Union[str, Any]					   =		self._get_binary_search_tree()

             assert t.exists(6)
             assert not t.exists(-1)



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						int					   =		self._get_binary_search_tree()

             assert t.get_max_label() == 14

             t.empty()
             with self.assertRaises(lowercase):  # noqa: B017
                   t.get_max_label()



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						List[Any]					   =		self._get_binary_search_tree()

             assert t.get_min_label() == 1

             t.empty()
             with self.assertRaises(lowercase):  # noqa: B017
                   t.get_min_label()



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						int					   =		self._get_binary_search_tree()

             UpperCAmelCase_	:						Dict					   =		[i.label for i in t.inorder_traversal()]
             assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 10, 13, 14]



       def 			A_ (  self):

             """simple docstring"""





             UpperCAmelCase_	:						Optional[int]					   =		self._get_binary_search_tree()

             UpperCAmelCase_	:						List[Any]					   =		[i.label for i in t.preorder_traversal()]
             assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 10, 14, 13]







def  _snake_case			(							)  ->  None:






      '''simple docstring'''







      UpperCAmelCase_	:						Optional[int]					   =		BinarySearchTree()
      t.put(8     )
      t.put(3     )
      t.put(6     )
      t.put(1     )
      t.put(1_0     )
      t.put(1_4     )
      t.put(1_3     )
      t.put(4     )
      t.put(7     )
      t.put(5     )

      print(
          "\n            8\n           / \\\n          3   10\n         / \\    \\\n        1   6    14\n           / \\   /\n          4   7 13\n           \\\n            5\n        "     )

      print("Label 6 exists:"       ,	t.exists(6     )     )
      print("Label 13 exists:"       ,	t.exists(1_3     )     )
      print("Label -1 exists:"       ,	t.exists(-1     )     )
      print("Label 12 exists:"       ,	t.exists(1_2     )     )

      # Prints all the elements of the list in inorder traversal
      UpperCAmelCase_	:						Tuple					   =		[i.label for i in t.inorder_traversal()]
      print("Inorder traversal:"       ,	__snake_case     )

      # Prints all the elements of the list in preorder traversal
      UpperCAmelCase_	:						List[Any]					   =		[i.label for i in t.preorder_traversal()]
      print("Preorder traversal:"       ,	__snake_case     )

      print("Max. label:"       ,	t.get_max_label()     )
      print("Min. label:"       ,	t.get_min_label()     )

      # Delete elements
      print("\nDeleting elements 13, 10, 8, 3, 6, 14"     )
      print(
          "\n          4\n         / \\\n        1   7\n             \\\n              5\n        "     )
      t.remove(1_3     )
      t.remove(1_0     )
      t.remove(8     )
      t.remove(3     )
      t.remove(6     )
      t.remove(1_4     )

      # Prints all the elements of the list in inorder traversal after delete
      UpperCAmelCase_	:						int					   =		[i.label for i in t.inorder_traversal()]
      print("Inorder traversal after delete:"       ,	__snake_case     )

      # Prints all the elements of the list in preorder traversal after delete
      UpperCAmelCase_	:						int					   =		[i.label for i in t.preorder_traversal()]
      print("Preorder traversal after delete:"       ,	__snake_case     )

      print("Max. label:"       ,	t.get_max_label()     )
      print("Min. label:"       ,	t.get_min_label()     )


if __name__ == "__main__":
   binary_search_tree_example()





import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional

import transformers
from transformers import (
    AutoConfig,
    AutoModelForQuestionAnswering,
    AutoTokenizer,
    DataCollatorWithPadding,
    HfArgumentParser,
    SquadDataset,
    Trainer,
    TrainingArguments,
)
from transformers import SquadDataTrainingArguments as DataTrainingArguments
from transformers.trainer_utils import is_main_process


__lowerCamelCase								=      logging.getLogger(__name__)


@dataclass
class 	snake_case_			:




       """simple docstring"""






       _lowerCamelCase           =					field(
           metadata={"""help""": """Path to pretrained model or model identifier from huggingface.co/models"""}	)
       _lowerCamelCase           =					field(
           default=lowercase__			,			metadata={"""help""": """Pretrained config name or path if not the same as model_name"""}	)
       _lowerCamelCase           =					field(
           default=lowercase__			,			metadata={"""help""": """Pretrained tokenizer name or path if not the same as model_name"""}	)
       _lowerCamelCase           =					field(default=lowercase__			,			metadata={"""help""": """Set this flag to use fast tokenization."""}	)
       # If you want to tweak more attributes on your tokenizer, you should do it in a distinct script,
       # or just modify its tokenizer_config.json.
       _lowerCamelCase           =					field(
           default=lowercase__			,			metadata={"""help""": """Where do you want to store the pretrained models downloaded from huggingface.co"""}			,			)







def  _snake_case			(							)  ->  Union[str, Any]:






      '''simple docstring'''







      UpperCAmelCase_	:						Union[str, Any]					   =		HfArgumentParser((ModelArguments, DataTrainingArguments, TrainingArguments)     )

      if len(sys.argv     ) == 2 and sys.argv[1].endswith(".json"     ):
            # If we pass only one argument to the script and it's the path to a json file,
            # let's parse it to get our arguments.
            UpperCAmelCase_   ,   UpperCAmelCase_   ,   UpperCAmelCase_	:						Any					   =		parser.parse_json_file(json_file=os.path.abspath(sys.argv[1]     )     )
      else:
            UpperCAmelCase_   ,   UpperCAmelCase_   ,   UpperCAmelCase_	:						Union[str, Any]					   =		parser.parse_args_into_dataclasses()

      if (
          os.path.exists(training_args.output_dir     )
          and os.listdir(training_args.output_dir     )
          and training_args.do_train
          and not training_args.overwrite_output_dir
      ):
            raise ValueError(
                F"""Output directory ({training_args.output_dir}) already exists and is not empty. Use"""
                " --overwrite_output_dir to overcome."     )

      # Setup logging
      logging.basicConfig(
          format="%(asctime)s - %(levelname)s - %(name)s - %(message)s"       ,	datefmt="%m/%d/%Y %H:%M:%S"       ,	level=logging.INFO if training_args.local_rank in [-1, 0] else logging.WARN       ,	)
      logger.warning(
          "Process rank: %s, device: %s, n_gpu: %s, distributed training: %s, 16-bits training: %s"       ,	training_args.local_rank       ,	training_args.device       ,	training_args.n_gpu       ,	bool(training_args.local_rank != -1     )       ,	training_args.fpaa       ,	)
      # Set the verbosity to info of the Transformers logger (on main process only):
      if is_main_process(training_args.local_rank     ):
            transformers.utils.logging.set_verbosity_info()
            transformers.utils.logging.enable_default_handler()
            transformers.utils.logging.enable_explicit_format()
      logger.info("Training/evaluation parameters %s"       ,	__snake_case     )

      # Prepare Question-Answering task
      # Load pretrained model and tokenizer
      #
      # Distributed training:
      # The .from_pretrained methods guarantee that only one local process can concurrently
      # download model & vocab.

      UpperCAmelCase_	:						Any					   =		AutoConfig.from_pretrained(
          model_args.config_name if model_args.config_name else model_args.model_name_or_path       ,	cache_dir=model_args.cache_dir       ,	)
      UpperCAmelCase_	:						List[str]					   =		AutoTokenizer.from_pretrained(
          model_args.tokenizer_name if model_args.tokenizer_name else model_args.model_name_or_path       ,	cache_dir=model_args.cache_dir       ,	use_fast=__snake_case       ,	)
      UpperCAmelCase_	:						Optional[int]					   =		AutoModelForQuestionAnswering.from_pretrained(
          model_args.model_name_or_path       ,	from_tf=bool(".ckpt" in model_args.model_name_or_path     )       ,	config=__snake_case       ,	cache_dir=model_args.cache_dir       ,	)

      # Get datasets
      UpperCAmelCase_	:						str					   =		hasattr(model.config       ,	"lang2id"     )
      UpperCAmelCase_	:						Optional[Any]					   =		(
          SquadDataset(
              __snake_case       ,	tokenizer=__snake_case       ,	is_language_sensitive=__snake_case       ,	cache_dir=model_args.cache_dir     )
          if training_args.do_train
          else None
      )
      UpperCAmelCase_	:						Optional[Any]					   =		(
          SquadDataset(
              __snake_case       ,	tokenizer=__snake_case       ,	mode="dev"       ,	is_language_sensitive=__snake_case       ,	cache_dir=model_args.cache_dir       ,	)
          if training_args.do_eval
          else None
      )

      # Data collator
      UpperCAmelCase_	:						Optional[Any]					   =		DataCollatorWithPadding(__snake_case       ,	pad_to_multiple_of=8     ) if training_args.fpaa else None

      # Initialize our Trainer
      UpperCAmelCase_	:						Any					   =		Trainer(
          model=__snake_case       ,	args=__snake_case       ,	train_dataset=__snake_case       ,	eval_dataset=__snake_case       ,	data_collator=__snake_case       ,	)

      # Training
      if training_args.do_train:
            trainer.train(
                model_path=model_args.model_name_or_path if os.path.isdir(model_args.model_name_or_path     ) else None     )
            trainer.save_model()
            # For convenience, we also re-save the tokenizer to the same directory,
            # so that you can share your model easily on huggingface.co/models =)
            if trainer.is_world_master():
                  tokenizer.save_pretrained(training_args.output_dir     )







def  _snake_case			(							__snake_case     )  ->  List[str]:






      '''simple docstring'''







      main()


if __name__ == "__main__":
   main()
