
from collections.abc import Iterable
from typing import Any




class        UpperCAmelCase_			:


  '''simple docstring'''







  def __init__( self			: Optional[Any]			,							UpperCamelCase__			: int | None = None    )			->	List[Any]:







    """simple docstring"""






    __magic_name__				     =       value
    __magic_name__				     =       None  # Added in order to delete a node easier
    __magic_name__				     =       None
    __magic_name__				     =       None





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







    """simple docstring"""






    from pprint import pformat

    if self.left is None and self.right is None:
      return str(self.value    )
    return pformat({F'''{self.value}''': (self.left, self.right)}			,							indent=1    )







class        UpperCAmelCase_			:


  '''simple docstring'''







  def __init__( self			: Tuple			,							UpperCamelCase__			: Node | None = None    )			->	Union[str, Any]:







    """simple docstring"""






    __magic_name__				     =       root
  def __str__( self			: List[str]    )			->	str:







    """simple docstring"""






    return str(self.root    )
  def 							_lowercase							( self			: Union[str, Any]			,							UpperCamelCase__			: Node			,							UpperCamelCase__			: Node | None    )			->	None:







    """simple docstring"""






    if new_children is not None:  # reset its kids
      __magic_name__				     =       node.parent
    if node.parent is not None:  # reset its parent
      if self.is_right(UpperCamelCase__    ):  # If it is the right children
        __magic_name__				     =       new_children
      else:
        __magic_name__				     =       new_children
    else:
      __magic_name__				     =       new_children
  def 							_lowercase							( self			: Tuple			,							UpperCamelCase__			: Node    )			->	bool:







    """simple docstring"""






    if node.parent and node.parent.right:
      return node == node.parent.right
    return False
  def 							_lowercase							( self			: int    )			->	bool:







    """simple docstring"""






    return self.root is None
  def 							_lowercase							( self			: Any			,							UpperCamelCase__			: Dict    )			->	None:







    """simple docstring"""






    __magic_name__				     =       Node(UpperCamelCase__    )  # create a new Node
    if self.empty():  # if Tree is empty
      __magic_name__				     =       new_node  # set its root
    else:  # Tree is not empty
      __magic_name__				     =       self.root  # from root
      if parent_node is None:
        return
      while True:  # While we don't get to a leaf
        if value < parent_node.value:  # We go left
          if parent_node.left is None:
            __magic_name__				     =       new_node  # We insert the new node in a leaf
            break
          else:
            __magic_name__				     =       parent_node.left
        else:
          if parent_node.right is None:
            __magic_name__				     =       new_node
            break
          else:
            __magic_name__				     =       parent_node.right
      __magic_name__				     =       parent_node
  def 							_lowercase							( self			: int			,							*UpperCamelCase__			: Optional[Any]    )			->	None:







    """simple docstring"""






    for value in values:
      self.__insert(UpperCamelCase__    )
  def 							_lowercase							( self			: Optional[Any]			,							UpperCamelCase__			: List[Any]    )			->	Node | None:







    """simple docstring"""






    if self.empty():
      raise IndexError("""Warning: Tree is empty! please use another."""    )
    else:
      __magic_name__				     =       self.root
      # use lazy evaluation here to avoid NoneType Attribute error
      while node is not None and node.value is not value:
        __magic_name__				     =       node.left if value < node.value else node.right
      return node
  def 							_lowercase							( self			: Any			,							UpperCamelCase__			: Node | None = None    )			->	Node | None:







    """simple docstring"""






    if node is None:
      if self.root is None:
        return None
      __magic_name__				     =       self.root

    if not self.empty():
      while node.right is not None:
        __magic_name__				     =       node.right
    return node
  def 							_lowercase							( self			: Union[str, Any]			,							UpperCamelCase__			: Node | None = None    )			->	Node | None:







    """simple docstring"""






    if node is None:
      __magic_name__				     =       self.root
    if self.root is None:
      return None
    if not self.empty():
      __magic_name__				     =       self.root
      while node.left is not None:
        __magic_name__				     =       node.left
    return node
  def 							_lowercase							( self			: str			,							UpperCamelCase__			: int    )			->	None:







    """simple docstring"""






    __magic_name__				     =       self.search(UpperCamelCase__    )  # Look for the node with that label
    if node is not None:
      if node.left is None and node.right is None:  # If it has no children
        self.__reassign_nodes(UpperCamelCase__			,							UpperCamelCase__    )
      elif node.left is None:  # Has only right children
        self.__reassign_nodes(UpperCamelCase__			,							node.right    )
      elif node.right is None:  # Has only left children
        self.__reassign_nodes(UpperCamelCase__			,							node.left    )
      else:
        __magic_name__				     =       self.get_max(
            node.left    )  # Gets the max value of the left branch
        self.remove(tmp_node.value    )  # type: ignore
        __magic_name__				     =       (
            tmp_node.value  # type: ignore
        )  # Assigns the value to the node to delete and keep tree structure
  def 							_lowercase							( self			: int			,							UpperCamelCase__			: Node | None    )			->	Iterable:







    """simple docstring"""






    if node is not None:
      yield node  # Preorder Traversal
      yield from self.preorder_traverse(node.left    )
      yield from self.preorder_traverse(node.right    )
  def 							_lowercase							( self			: Union[str, Any]			,							UpperCamelCase__			: Dict=None    )			->	Any:







    """simple docstring"""






    if traversal_function is None:
      return self.preorder_traverse(self.root    )
    else:
      return traversal_function(self.root    )
  def 							_lowercase							( self			: Optional[Any]			,							UpperCamelCase__			: list			,							UpperCamelCase__			: Node | None    )			->	None:







    """simple docstring"""






    if node:
      self.inorder(UpperCamelCase__			,							node.left    )
      arr.append(node.value    )
      self.inorder(UpperCamelCase__			,							node.right    )





  def 							_lowercase							( self			: str			,							UpperCamelCase__			: int			,							UpperCamelCase__			: Node    )			->	int:







    """simple docstring"""






    __magic_name__				     =       []
    self.inorder(UpperCamelCase__			,							UpperCamelCase__    )  # append all values to list using inorder traversal
    return arr[k - 1]







def a__    (       A_					):






  '''simple docstring'''





  __magic_name__				     =       []
  if curr_node is not None:
    __magic_name__				     =       postorder(curr_node.left					) + postorder(curr_node.right					) + [curr_node]
  return node_list

def a__    (       ):






  '''simple docstring'''





  __magic_name__				     =       (8, 3, 6, 1, 10, 14, 13, 4, 7)
  __magic_name__				     =       BinarySearchTree()
  for i in testlist:
    t.insert(A_					)

  # Prints all the elements of the list in order traversal
  print(A_					)

  if t.search(6					) is not None:
    print("""The value 6 exists"""					)
  else:
    print("""The value 6 doesn't exist"""					)

  if t.search(-1					) is not None:
    print("""The value -1 exists"""					)
  else:
    print("""The value -1 doesn't exist"""					)

  if not t.empty():
    print("""Max Value: """,     t.get_max().value					)  # type: ignore
    print("""Min Value: """,     t.get_min().value					)  # type: ignore

  for i in testlist:
    t.remove(A_					)
    print(A_					)


if __name__ == "__main__":
    import doctest

    doctest.testmod(verbose=True)



import os
from tempfile import TemporaryDirectory
from unittest import TestCase

import pytest
from absl.testing import parameterized

from datasets import config
from datasets.arrow_reader import HF_GCP_BASE_URL
from datasets.builder import DatasetBuilder
from datasets.dataset_dict import IterableDatasetDict
from datasets.iterable_dataset import IterableDataset
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.file_utils import cached_path


__lowerCAmelCase			:     Any           =   [
    {'dataset': 'wikipedia', 'config_name': '20220301.de'},
    {'dataset': 'wikipedia', 'config_name': '20220301.en'},
    {'dataset': 'wikipedia', 'config_name': '20220301.fr'},
    {'dataset': 'wikipedia', 'config_name': '20220301.frr'},
    {'dataset': 'wikipedia', 'config_name': '20220301.it'},
    {'dataset': 'wikipedia', 'config_name': '20220301.simple'},
    {'dataset': 'snli', 'config_name': 'plain_text'},
    {'dataset': 'eli5', 'config_name': 'LFQA_reddit'},
    {'dataset': 'wiki40b', 'config_name': 'en'},
    {'dataset': 'wiki_dpr', 'config_name': 'psgs_w100.nq.compressed'},
    {'dataset': 'wiki_dpr', 'config_name': 'psgs_w100.nq.no_index'},
    {'dataset': 'wiki_dpr', 'config_name': 'psgs_w100.multiset.no_index'},
    {'dataset': 'natural_questions', 'config_name': 'default'},
]

def a__    (       A_=True					):






  '''simple docstring'''





  if with_config:
    return [
        {
            "testcase_name": d["dataset"] + "/" + d["config_name"],
            "dataset": d["dataset"],
            "config_name": d["config_name"],
        }
        for d in DATASETS_ON_HF_GCP
    ]
  else:
    return [
        {"testcase_name": dataset, "dataset": dataset} for dataset in {d["dataset"] for d in DATASETS_ON_HF_GCP}
    ]




@parameterized.named_parameters(list_datasets_on_hf_gcp_parameters(with_config=_A     )     )
class        UpperCAmelCase_			( _A     ):


  '''simple docstring'''







  a__           =		None
  a__           =		None
  def 							_lowercase							( self			: List[Any]			,							UpperCamelCase__			: int			,							UpperCamelCase__			: Union[str, Any]    )			->	Tuple:







    """simple docstring"""






    with TemporaryDirectory() as tmp_dir:
      __magic_name__				     =       dataset_module_factory(UpperCamelCase__			,							cache_dir=UpperCamelCase__    )

      __magic_name__				     =       import_main_class(dataset_module.module_path			,							dataset=UpperCamelCase__    )

      __magic_name__				     =       builder_cls(
          cache_dir=UpperCamelCase__			,							config_name=UpperCamelCase__			,							hash=dataset_module.hash			,							)

      __magic_name__				     =       """/""".join(
          [
              HF_GCP_BASE_URL,
              builder_instance._relative_data_dir(with_hash=UpperCamelCase__    ).replace(os.sep			,							"""/"""    ),
              config.DATASET_INFO_FILENAME,
          ]    )
      __magic_name__				     =       cached_path(UpperCamelCase__			,							cache_dir=UpperCamelCase__    )
      self.assertTrue(os.path.exists(UpperCamelCase__    )    )







@pytest.mark.integration
def a__    (       A_					):






  '''simple docstring'''





  __magic_name__				     =       tmp_path_factory.mktemp("""test_hf_gcp"""					) / """test_wikipedia_simple"""
  __magic_name__				     =       dataset_module_factory("""wikipedia""",     cache_dir=A_					)
  __magic_name__				     =       import_main_class(dataset_module.module_path					)
  __magic_name__				     =       builder_cls(
      cache_dir=A_,     config_name="""20220301.frr""",     hash=dataset_module.hash,     )
  # use the HF cloud storage, not the original download_and_prepare that uses apache-beam
  __magic_name__				     =       None
  builder_instance.download_and_prepare()
  __magic_name__				     =       builder_instance.as_dataset()
  assert ds





@pytest.mark.integration
def a__    (       A_					):






  '''simple docstring'''





  __magic_name__				     =       dataset_module_factory("""wikipedia""",     cache_dir=A_					)
  __magic_name__				     =       import_main_class(dataset_module.module_path,     dataset=A_					)
  __magic_name__				     =       builder_cls(
      cache_dir=A_,     config_name="""20220301.frr""",     hash=dataset_module.hash,     )
  __magic_name__				     =       builder_instance.as_streaming_dataset()
  assert ds
  assert isinstance(A_,     A_					)
  assert "train" in ds
  assert isinstance(ds["""train"""],     A_					)
  assert next(iter(ds["""train"""]					)					)

