





from __future__ import annotations

import math
import random
from typing import Any






class     lowercase__       :

   '''simple docstring'''


   def __init__(    self							) ->      Optional[Any]:






       """simple docstring"""
       UpperCamelCase__							:				Dict          =      []
       UpperCamelCase__							:				int          =      0
       UpperCamelCase__							:				int          =      0




   def       UpperCamelCase__  (    self							) ->      int:






       """simple docstring"""
       return self.head == self.tail




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Any:






       """simple docstring"""
       self.data.append(__magic_name__							)
       UpperCamelCase__							:				Dict          =      self.tail + 1




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






       """simple docstring"""
       UpperCamelCase__							:				int          =      self.data[self.head]
       UpperCamelCase__							:				Any          =      self.head + 1
       return ret




   def       UpperCamelCase__  (    self							) ->      List[str]:






       """simple docstring"""
       return self.tail - self.head




   def       UpperCamelCase__  (    self							) ->      Optional[Any]:






       """simple docstring"""
       print(self.data							)
       print('''**************'''							)
       print(self.data[self.head : self.tail]							)






class     lowercase__       :

   '''simple docstring'''


   def __init__(    self,		__magic_name__							) ->      Dict:






       """simple docstring"""
       UpperCamelCase__							:				Any          =      data
       UpperCamelCase__							:				List[str]          =      None
       UpperCamelCase__							:				Optional[int]          =      None
       UpperCamelCase__							:				str          =      1




   def       UpperCamelCase__  (    self							) ->      Optional[Any]:






       """simple docstring"""
       return self.data




   def       UpperCamelCase__  (    self							) ->      List[str]:






       """simple docstring"""
       return self.left




   def       UpperCamelCase__  (    self							) ->      Tuple:






       """simple docstring"""
       return self.right




   def       UpperCamelCase__  (    self							) ->      Optional[Any]:






       """simple docstring"""
       return self.height




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      int:






       """simple docstring"""
       UpperCamelCase__							:				str          =      data




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Any:






       """simple docstring"""
       UpperCamelCase__							:				Optional[Any]          =      node




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      List[Any]:






       """simple docstring"""
       UpperCamelCase__							:				Optional[int]          =      node




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Optional[Any]:






       """simple docstring"""
       UpperCamelCase__							:				Optional[int]          =      height




def 		lowerCAmelCase_    (  __UpperCAmelCase:			MyNode | None      )      ->	List[Any]:
    if node is None:
        return 0
    return node.get_height()




def 		lowerCAmelCase_    (  __UpperCAmelCase:			int		,   __UpperCAmelCase:			int      )      ->	Tuple:
    if a > b:
        return a
    return b




def 		lowerCAmelCase_    (  __UpperCAmelCase:			MyNode      )      ->	str:
    print('''left rotation node:'''		,   node.get_data()      )
    UpperCamelCase__							:				List[str]          =      node.get_left()
    assert ret is not None
    node.set_left(ret.get_right()      )
    ret.set_right(UpperCAmelCase_      )
    UpperCamelCase__							:				Optional[Any]          =      my_max(get_height(node.get_right()      )		,   get_height(node.get_left()      )      ) + 1
    node.set_height(UpperCAmelCase_      )
    UpperCamelCase__							:				Optional[int]          =      my_max(get_height(ret.get_right()      )		,   get_height(ret.get_left()      )      ) + 1
    ret.set_height(UpperCAmelCase_      )
    return ret




def 		lowerCAmelCase_    (  __UpperCAmelCase:			MyNode      )      ->	Dict:
    print('''right rotation node:'''		,   node.get_data()      )
    UpperCamelCase__							:				List[str]          =      node.get_right()
    assert ret is not None
    node.set_right(ret.get_left()      )
    ret.set_left(UpperCAmelCase_      )
    UpperCamelCase__							:				Any          =      my_max(get_height(node.get_right()      )		,   get_height(node.get_left()      )      ) + 1
    node.set_height(UpperCAmelCase_      )
    UpperCamelCase__							:				List[str]          =      my_max(get_height(ret.get_right()      )		,   get_height(ret.get_left()      )      ) + 1
    ret.set_height(UpperCAmelCase_      )
    return ret




def 		lowerCAmelCase_    (  __UpperCAmelCase:			MyNode      )      ->	List[Any]:
    UpperCamelCase__							:				List[Any]          =      node.get_left()
    assert left_child is not None
    node.set_left(left_rotation(UpperCAmelCase_      )      )
    return right_rotation(UpperCAmelCase_      )




def 		lowerCAmelCase_    (  __UpperCAmelCase:			MyNode      )      ->	List[str]:
    UpperCamelCase__							:				str          =      node.get_right()
    assert right_child is not None
    node.set_right(right_rotation(UpperCAmelCase_      )      )
    return left_rotation(UpperCAmelCase_      )




def 		lowerCAmelCase_    (  __UpperCAmelCase:			MyNode | None		,   __UpperCAmelCase:			Any      )      ->	Optional[Any]:
    if node is None:
        return MyNode(UpperCAmelCase_      )
    if data < node.get_data():
        node.set_left(insert_node(node.get_left()		,   UpperCAmelCase_      )      )
        if (
            get_height(node.get_left()      ) - get_height(node.get_right()      ) == 2
        ):  # an unbalance detected
            UpperCamelCase__							:				str          =      node.get_left()
            assert left_child is not None
            if (
                data < left_child.get_data()
            ):  # new node is the left child of the left child
                UpperCamelCase__							:				Optional[int]          =      right_rotation(UpperCAmelCase_      )
            else:
                UpperCamelCase__							:				List[Any]          =      lr_rotation(UpperCAmelCase_      )
    else:
        node.set_right(insert_node(node.get_right()		,   UpperCAmelCase_      )      )
        if get_height(node.get_right()      ) - get_height(node.get_left()      ) == 2:
            UpperCamelCase__							:				int          =      node.get_right()
            assert right_child is not None
            if data < right_child.get_data():
                UpperCamelCase__							:				Dict          =      rl_rotation(UpperCAmelCase_      )
            else:
                UpperCamelCase__							:				List[str]          =      left_rotation(UpperCAmelCase_      )
    UpperCamelCase__							:				int          =      my_max(get_height(node.get_right()      )		,   get_height(node.get_left()      )      ) + 1
    node.set_height(UpperCAmelCase_      )
    return node




def 		lowerCAmelCase_    (  __UpperCAmelCase:			MyNode      )      ->	Tuple:
    while True:
        UpperCamelCase__							:				Union[str, Any]          =      root.get_right()
        if right_child is None:
            break
        UpperCamelCase__							:				Optional[Any]          =      right_child
    return root.get_data()




def 		lowerCAmelCase_    (  __UpperCAmelCase:			MyNode      )      ->	Tuple:
    while True:
        UpperCamelCase__							:				Optional[Any]          =      root.get_left()
        if left_child is None:
            break
        UpperCamelCase__							:				List[str]          =      left_child
    return root.get_data()




def 		lowerCAmelCase_    (  __UpperCAmelCase:			MyNode		,   __UpperCAmelCase:			Any      )      ->	Tuple:
    UpperCamelCase__							:				List[str]          =      root.get_left()
    UpperCamelCase__							:				List[str]          =      root.get_right()
    if root.get_data() == data:
        if left_child is not None and right_child is not None:
            UpperCamelCase__							:				str          =      get_left_most(UpperCAmelCase_      )
            root.set_data(UpperCAmelCase_      )
            root.set_right(del_node(UpperCAmelCase_		,   UpperCAmelCase_      )      )
        elif left_child is not None:
            UpperCamelCase__							:				List[str]          =      left_child
        elif right_child is not None:
            UpperCamelCase__							:				Optional[Any]          =      right_child
        else:
            return None
    elif root.get_data() > data:
        if left_child is None:
            print('''No such data'''      )
            return root
        else:
            root.set_left(del_node(UpperCAmelCase_		,   UpperCAmelCase_      )      )
    else:  # root.get_data() < data
        if right_child is None:
            return root
        else:
            root.set_right(del_node(UpperCAmelCase_		,   UpperCAmelCase_      )      )

    if get_height(UpperCAmelCase_      ) - get_height(UpperCAmelCase_      ) == 2:
        assert right_child is not None
        if get_height(right_child.get_right()      ) > get_height(right_child.get_left()      ):
            UpperCamelCase__							:				Optional[int]          =      left_rotation(UpperCAmelCase_      )
        else:
            UpperCamelCase__							:				Union[str, Any]          =      rl_rotation(UpperCAmelCase_      )
    elif get_height(UpperCAmelCase_      ) - get_height(UpperCAmelCase_      ) == -2:
        assert left_child is not None
        if get_height(left_child.get_left()      ) > get_height(left_child.get_right()      ):
            UpperCamelCase__							:				Optional[int]          =      right_rotation(UpperCAmelCase_      )
        else:
            UpperCamelCase__							:				Union[str, Any]          =      lr_rotation(UpperCAmelCase_      )
    UpperCamelCase__							:				List[Any]          =      my_max(get_height(root.get_right()      )		,   get_height(root.get_left()      )      ) + 1
    root.set_height(UpperCAmelCase_      )
    return root






class     lowercase__       :

   '''simple docstring'''


   def __init__(    self							) ->      Tuple:






       """simple docstring"""
       UpperCamelCase__							:				Tuple          =      None




   def       UpperCamelCase__  (    self							) ->      int:






       """simple docstring"""
       return get_height(self.root							)




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Dict:






       """simple docstring"""
       print('''insert:''' + str(__magic_name__							)							)
       UpperCamelCase__							:				str          =      insert_node(self.root,		__magic_name__							)




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Optional[Any]:






       """simple docstring"""
       print('''delete:''' + str(__magic_name__							)							)
       if self.root is None:
           print('''Tree is empty!'''							)
           return
       UpperCamelCase__							:				Union[str, Any]          =      del_node(self.root,		__magic_name__							)




   def __str__(    self,		) ->      Optional[int]:  # a level traversale, gives a more intuitive look on the tree






       """simple docstring"""
       UpperCamelCase__							:				Dict          =      ''''''
       UpperCamelCase__							:				str          =      MyQueue()
       q.push(self.root							)
       UpperCamelCase__							:				Optional[Any]          =      self.get_height()
       if layer == 0:
           return output
       UpperCamelCase__							:				Dict          =      0
       while not q.is_empty():
           UpperCamelCase__							:				Any          =      q.pop()
           UpperCamelCase__							:				Tuple          =      ''' ''' * int(math.pow(2,		layer - 1							)							)
           output += space
           if node is None:
               output += "*"
               q.push(__magic_name__							)
               q.push(__magic_name__							)
           else:
               output += str(node.get_data()							)
               q.push(node.get_left()							)
               q.push(node.get_right()							)
           output += space
           UpperCamelCase__							:				int          =      cnt + 1
           for i in range(100							):
               if cnt == math.pow(2,		__magic_name__							) - 1:
                   UpperCamelCase__							:				Dict          =      layer - 1
                   if layer == 0:
                       output += "\n*************************************"
                       return output
                   output += "\n"
                   break
       output += "\n*************************************"
       return output




def 		lowerCAmelCase_    (  )      ->	Optional[int]:
    import doctest

    doctest.testmod()


if __name__ == "__main__":
  _test()
  UpperCAmelCase_     							= AVLtree()
  UpperCAmelCase_     							= list(range(10))
  random.shuffle(lst)
  for i in lst:
    t.insert(i)
    print(str(t))
  random.shuffle(lst)
  for i in lst:
    t.del_node(i)
    print(str(t))





'''simple docstring'''

import absl  # noqa: F401 # Here to have a nice missing dependency error message early on
import nltk  # noqa: F401 # Here to have a nice missing dependency error message early on
import numpy  # noqa: F401 # Here to have a nice missing dependency error message early on
import six  # noqa: F401 # Here to have a nice missing dependency error message early on
from rouge_score import rouge_scorer, scoring

import datasets


a_  :				str						= """\
@inproceedings{lin-2004-rouge,
    title = \"{ROUGE}: A Package for Automatic Evaluation of Summaries\",
    author = \"Lin, Chin-Yew\",
    booktitle = \"Text Summarization Branches Out\",
    month = jul,
    year = \"2004\",
    address = \"Barcelona, Spain\",
    publisher = \"Association for Computational Linguistics\",
    url = \"https://www.aclweb.org/anthology/W04-1013\",
    pages = \"74--81\",
}
"""

a_  :				int						= """\
ROUGE, or Recall-Oriented Understudy for Gisting Evaluation, is a set of metrics and a software package used for
evaluating automatic summarization and machine translation software in natural language processing.
The metrics compare an automatically produced summary or translation against a reference or a set of references (human-produced) summary or translation.

Note that ROUGE is case insensitive, meaning that upper case letters are treated the same way as lower case letters.

This metrics is a wrapper around Google Research reimplementation of ROUGE:
https://github.com/google-research/google-research/tree/master/rouge
"""

a_  :				Tuple						= """
Calculates average rouge scores for a list of hypotheses and references
Args:
    predictions: list of predictions to score. Each prediction
        should be a string with tokens separated by spaces.
    references: list of reference for each prediction. Each
        reference should be a string with tokens separated by spaces.
    rouge_types: A list of rouge types to calculate.
        Valid names:
        `\"rouge{n}\"` (e.g. `\"rouge1\"`, `\"rouge2\"`) where: {n} is the n-gram based scoring,
        `\"rougeL\"`: Longest common subsequence based scoring.
        `\"rougeLSum\"`: rougeLsum splits text using `\"\n\"`.
        See details in https://github.com/huggingface/datasets/issues/617
    use_stemmer: Bool indicating whether Porter stemmer should be used to strip word suffixes.
    use_aggregator: Return aggregates if this is set to True
Returns:
    rouge1: rouge_1 (precision, recall, f1),
    rouge2: rouge_2 (precision, recall, f1),
    rougeL: rouge_l (precision, recall, f1),
    rougeLsum: rouge_lsum (precision, recall, f1)
Examples:

    >>> rouge = datasets.load_metric('rouge')
    >>> predictions = [\"hello there\", \"general kenobi\"]
    >>> references = [\"hello there\", \"general kenobi\"]
    >>> results = rouge.compute(predictions=predictions, references=references)
    >>> print(list(results.keys()))
    ['rouge1', 'rouge2', 'rougeL', 'rougeLsum']
    >>> print(results[\"rouge1\"])
    AggregateScore(low=Score(precision=1.0, recall=1.0, fmeasure=1.0), mid=Score(precision=1.0, recall=1.0, fmeasure=1.0), high=Score(precision=1.0, recall=1.0, fmeasure=1.0))
    >>> print(results[\"rouge1\"].mid.fmeasure)
    1.0
"""





@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION			,						_KWARGS_DESCRIPTION			)
class      snake_case    (    datasets.Metric			):





  """simple docstring"""




  def   snake_case		(    self     ):







   """simple docstring"""
   return datasets.MetricInfo(
       description=_DESCRIPTION			,  citation=_CITATION			,  inputs_description=_KWARGS_DESCRIPTION			,  features=datasets.Features(
           {
               "predictions": datasets.Value("string"			,  id="sequence"     ),
               "references": datasets.Value("string"			,  id="sequence"     ),
           }     )			,  codebase_urls=["https://github.com/google-research/google-research/tree/master/rouge"]			,  reference_urls=[
           "https://en.wikipedia.org/wiki/ROUGE_(metric)",
           "https://github.com/google-research/google-research/tree/master/rouge",
       ]			,  )







  def   snake_case		(    self			,  UpperCamelCase			,  UpperCamelCase			,  UpperCamelCase=None			,  UpperCamelCase=True			,  UpperCamelCase=False     ):







   """simple docstring"""
   if rouge_types is None:
    lowerCamelCase_      =  ["rouge1", "rouge2", "rougeL", "rougeLsum"]

   lowerCamelCase_      =  rouge_scorer.RougeScorer(rouge_types=UpperCamelCase			,  use_stemmer=UpperCamelCase     )
   if use_aggregator:
    lowerCamelCase_      =  scoring.BootstrapAggregator()
   else:
    lowerCamelCase_      =  []

   for ref, pred in zip(UpperCamelCase			,  UpperCamelCase     ):
    lowerCamelCase_      =  scorer.score(UpperCamelCase			,  UpperCamelCase     )
    if use_aggregator:
     aggregator.add_scores(UpperCamelCase     )
    else:
     scores.append(UpperCamelCase     )

   if use_aggregator:
    lowerCamelCase_      =  aggregator.aggregate()
   else:
    lowerCamelCase_      =  {}
    for key in scores[0]:
     lowerCamelCase_      =  [score[key] for score in scores]

   return result



