






from __future__ import annotations

import unittest
from collections.abc import Iterator


class        SCREAMING_SNAKE_CASE	:
     '''simple docstring'''


     def __init__( self				:		Dict    ,       UpperCAmelCase_				:		int    ,       UpperCAmelCase_				:		Node | None					):
       SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			label
       SCREAMING_SNAKE_CASE				:					Optional[int]		  =			parent
       SCREAMING_SNAKE_CASE				:					Node | None		  =			None
       SCREAMING_SNAKE_CASE				:					Node | None		  =			None





class        SCREAMING_SNAKE_CASE	:
     '''simple docstring'''


     def __init__( self				:		Dict					):
       SCREAMING_SNAKE_CASE				:					Node | None		  =			None


     def  _A				( self				:		List[Any]					):
       SCREAMING_SNAKE_CASE				:					Optional[int]		  =			None


     def  _A				( self				:		List[Any]					):
       return self.root is None


     def  _A				( self				:		int    ,       UpperCAmelCase_				:		int					):
       SCREAMING_SNAKE_CASE				:					Optional[int]		  =			self._put(self.root    ,       UpperCAmelCase_					)


     def  _A				( self				:		int    ,       UpperCAmelCase_				:		Node | None    ,       UpperCAmelCase_				:		int    ,       UpperCAmelCase_				:		Node | None = None					):
       if node is None:
         SCREAMING_SNAKE_CASE				:					Dict		  =			Node(UpperCAmelCase_    ,       UpperCAmelCase_					)
       else:
         if label < node.label:
           SCREAMING_SNAKE_CASE				:					List[str]		  =			self._put(node.left    ,       UpperCAmelCase_    ,       UpperCAmelCase_					)
         elif label > node.label:
           SCREAMING_SNAKE_CASE				:					Optional[int]		  =			self._put(node.right    ,       UpperCAmelCase_    ,       UpperCAmelCase_					)
         else:
           SCREAMING_SNAKE_CASE				:					str		  =			f'''Node with label {label} already exists'''
           raise Exception(UpperCAmelCase_					)

       return node


     def  _A				( self				:		Union[str, Any]    ,       UpperCAmelCase_				:		int					):
       return self._search(self.root    ,       UpperCAmelCase_					)


     def  _A				( self				:		Union[str, Any]    ,       UpperCAmelCase_				:		Node | None    ,       UpperCAmelCase_				:		int					):
       if node is None:
         SCREAMING_SNAKE_CASE				:					Any		  =			f'''Node with label {label} does not exist'''
         raise Exception(UpperCAmelCase_					)
       else:
         if label < node.label:
           SCREAMING_SNAKE_CASE				:					List[Any]		  =			self._search(node.left    ,       UpperCAmelCase_					)
         elif label > node.label:
           SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			self._search(node.right    ,       UpperCAmelCase_					)

       return node


     def  _A				( self				:		Tuple    ,       UpperCAmelCase_				:		int					):
       SCREAMING_SNAKE_CASE				:					Tuple		  =			self.search(UpperCAmelCase_					)
       if node.right and node.left:
         SCREAMING_SNAKE_CASE				:					Tuple		  =			self._get_lowest_node(node.right					)
         SCREAMING_SNAKE_CASE				:					Any		  =			node.left
         SCREAMING_SNAKE_CASE				:					Any		  =			node.right
         SCREAMING_SNAKE_CASE				:					str		  =			lowest_node
         if node.right:
           SCREAMING_SNAKE_CASE				:					List[str]		  =			lowest_node
         self._reassign_nodes(UpperCAmelCase_    ,       UpperCAmelCase_					)
       elif not node.right and node.left:
         self._reassign_nodes(UpperCAmelCase_    ,       node.left					)
       elif node.right and not node.left:
         self._reassign_nodes(UpperCAmelCase_    ,       node.right					)
       else:
         self._reassign_nodes(UpperCAmelCase_    ,       UpperCAmelCase_					)


     def  _A				( self				:		List[str]    ,       UpperCAmelCase_				:		Node    ,       UpperCAmelCase_				:		Node | None					):
       if new_children:
         SCREAMING_SNAKE_CASE				:					Tuple		  =			node.parent

       if node.parent:
         if node.parent.right == node:
           SCREAMING_SNAKE_CASE				:					List[Any]		  =			new_children
         else:
           SCREAMING_SNAKE_CASE				:					Optional[int]		  =			new_children
       else:
         SCREAMING_SNAKE_CASE				:					int		  =			new_children


     def  _A				( self				:		List[str]    ,       UpperCAmelCase_				:		Node					):
       if node.left:
         SCREAMING_SNAKE_CASE				:					str		  =			self._get_lowest_node(node.left					)
       else:
         SCREAMING_SNAKE_CASE				:					Optional[int]		  =			node
         self._reassign_nodes(UpperCAmelCase_    ,       node.right					)

       return lowest_node


     def  _A				( self				:		Tuple    ,       UpperCAmelCase_				:		int					):
       try:
         self.search(UpperCAmelCase_					)
         return True
       except Exception:
         return False


     def  _A				( self				:		List[str]					):
       if self.root is None:
         raise Exception("Binary search tree is empty"					)

       SCREAMING_SNAKE_CASE				:					Tuple		  =			self.root
       while node.right is not None:
         SCREAMING_SNAKE_CASE				:					Tuple		  =			node.right

       return node.label


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

       SCREAMING_SNAKE_CASE				:					List[str]		  =			self.root
       while node.left is not None:
         SCREAMING_SNAKE_CASE				:					Optional[int]		  =			node.left

       return node.label


     def  _A				( self				:		Union[str, Any]					):
       return self._inorder_traversal(self.root					)


     def  _A				( self				:		Optional[int]    ,       UpperCAmelCase_				:		Node | None					):
       if node is not None:
         yield from self._inorder_traversal(node.left					)
         yield node
         yield from self._inorder_traversal(node.right					)


     def  _A				( self				:		Union[str, Any]					):
       return self._preorder_traversal(self.root					)






     def  _A				( self				:		List[str]    ,       UpperCAmelCase_				:		Node | None					):
       if node is not None:
         yield node
         yield from self._preorder_traversal(node.left					)
         yield from self._preorder_traversal(node.right					)





class        SCREAMING_SNAKE_CASE	(	unittest.TestCase    ):
     '''simple docstring'''


     @staticmethod
     def  _A				( ):
       SCREAMING_SNAKE_CASE				:					Optional[int]		  =			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				:		List[str]					):
       SCREAMING_SNAKE_CASE				:					int		  =			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(UpperCAmelCase_					):  # noqa: B017
         t.put(1					)


     def  _A				( self				:		Tuple					):
       SCREAMING_SNAKE_CASE				:					List[str]		  =			self._get_binary_search_tree()

       SCREAMING_SNAKE_CASE				:					List[str]		  =			t.search(6					)
       assert node.label == 6

       SCREAMING_SNAKE_CASE				:					Optional[int]		  =			t.search(13					)
       assert node.label == 13

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


     def  _A				( self				:		int					):
       SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			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				:		Optional[Any]					):
       SCREAMING_SNAKE_CASE				:					List[Any]		  =			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				:		Dict					):
       SCREAMING_SNAKE_CASE				:					Dict		  =			self._get_binary_search_tree()
       t.empty()
       assert t.root is None


     def  _A				( self				:		Optional[int]					):
       SCREAMING_SNAKE_CASE				:					Optional[int]		  =			self._get_binary_search_tree()
       assert not t.is_empty()

       t.empty()
       assert t.is_empty()


     def  _A				( self				:		Union[str, Any]					):
       SCREAMING_SNAKE_CASE				:					Tuple		  =			self._get_binary_search_tree()

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


     def  _A				( self				:		Dict					):
       SCREAMING_SNAKE_CASE				:					str		  =			self._get_binary_search_tree()

       assert t.get_max_label() == 14

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


     def  _A				( self				:		int					):
       SCREAMING_SNAKE_CASE				:					Dict		  =			self._get_binary_search_tree()

       assert t.get_min_label() == 1

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


     def  _A				( self				:		int					):
       SCREAMING_SNAKE_CASE				:					int		  =			self._get_binary_search_tree()

       SCREAMING_SNAKE_CASE				:					Any		  =			[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				:		int					):
       SCREAMING_SNAKE_CASE				:					Optional[int]		  =			self._get_binary_search_tree()

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





def      lowerCamelCase__	(   ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			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 )

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

  # Prints all the elements of the list in inorder traversal
  SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			[i.label for i in t.inorder_traversal()]
  print("Inorder traversal:"  ,   lowercase )

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

  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(13 )
  t.remove(10 )
  t.remove(8 )
  t.remove(3 )
  t.remove(6 )
  t.remove(14 )

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

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

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


if __name__ == "__main__":
   binary_search_tree_example()














from collections import Counter

import sacrebleu
import sacremoses
from packaging import version

import datasets


snake_case			 =						"""\
@inproceedings{xu-etal-2016-optimizing,
title = {Optimizing Statistical Machine Translation for Text Simplification},
authors={Xu, Wei and Napoles, Courtney and Pavlick, Ellie and Chen, Quanze and Callison-Burch, Chris},
journal = {Transactions of the Association for Computational Linguistics},
volume = {4},
year={2016},
url = {https://www.aclweb.org/anthology/Q16-1029},
pages = {401--415},
}
"""

snake_case			 =						"""\
SARI is a metric used for evaluating automatic text simplification systems.
The metric compares the predicted simplified sentences against the reference
and the source sentences. It explicitly measures the goodness of words that are
added, deleted and kept by the system.
Sari = (F1_add + F1_keep + P_del) / 3
where
F1_add: n-gram F1 score for add operation
F1_keep: n-gram F1 score for keep operation
P_del: n-gram precision score for delete operation
n = 4, as in the original paper.

This implementation is adapted from Tensorflow's tensor2tensor implementation [3].
It has two differences with the original GitHub [1] implementation:
  (1) Defines 0/0=1 instead of 0 to give higher scores for predictions that match
      a target exactly.
  (2) Fixes an alleged bug [2] in the keep score computation.
[1] https://github.com/cocoxu/simplification/blob/master/SARI.py
    (commit 0210f15)
[2] https://github.com/cocoxu/simplification/issues/6
[3] https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/utils/sari_hook.py
"""


snake_case			 =						"""
Calculates sari score (between 0 and 100) given a list of source and predicted
sentences, and a list of lists of reference sentences.
Args:
    sources: list of source sentences where each sentence should be a string.
    predictions: list of predicted sentences where each sentence should be a string.
    references: list of lists of reference sentences where each sentence should be a string.
Returns:
    sari: sari score
Examples:
    >>> sources=[\"About 95 species are currently accepted .\"]
    >>> predictions=[\"About 95 you now get in .\"]
    >>> references=[[\"About 95 species are currently known .\",\"About 95 species are now accepted .\",\"95 species are now accepted .\"]]
    >>> sari = datasets.load_metric(\"sari\")
    >>> results = sari.compute(sources=sources, predictions=predictions, references=references)
    >>> print(results)
    {'sari': 26.953601953601954}
"""


def      lowerCamelCase__	(   lowercase  ,   lowercase  ,   lowercase  ,   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Dict		  =			[rgram for rgrams in rgramslist for rgram in rgrams]
  SCREAMING_SNAKE_CASE				:					Dict		  =			Counter(lowercase )

  SCREAMING_SNAKE_CASE				:					Optional[int]		  =			Counter(lowercase )
  SCREAMING_SNAKE_CASE				:					Dict		  =			Counter()
  for sgram, scount in sgramcounter.items():
    SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			scount * numref

  SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			Counter(lowercase )
  SCREAMING_SNAKE_CASE				:					Dict		  =			Counter()
  for cgram, ccount in cgramcounter.items():
    SCREAMING_SNAKE_CASE				:					Tuple		  =			ccount * numref

  # KEEP
  SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			sgramcounter_rep & cgramcounter_rep
  SCREAMING_SNAKE_CASE				:					Dict		  =			keepgramcounter_rep & rgramcounter
  SCREAMING_SNAKE_CASE				:					Tuple		  =			sgramcounter_rep & rgramcounter

  SCREAMING_SNAKE_CASE				:					Optional[int]		  =			0
  SCREAMING_SNAKE_CASE				:					List[Any]		  =			0
  for keepgram in keepgramcountergood_rep:
    keeptmpscorea += keepgramcountergood_rep[keepgram] / keepgramcounter_rep[keepgram]
    # Fix an alleged bug [2] in the keep score computation.
    # keeptmpscore2 += keepgramcountergood_rep[keepgram] / keepgramcounterall_rep[keepgram]
    keeptmpscorea += keepgramcountergood_rep[keepgram]
  # Define 0/0=1 instead of 0 to give higher scores for predictions that match
  #      a target exactly.
  SCREAMING_SNAKE_CASE				:					Optional[int]		  =			1
  SCREAMING_SNAKE_CASE				:					int		  =			1
  if len(lowercase ) > 0:
    SCREAMING_SNAKE_CASE				:					Optional[int]		  =			keeptmpscorea / len(lowercase )
  if len(lowercase ) > 0:
    # Fix an alleged bug [2] in the keep score computation.
    # keepscore_recall = keeptmpscore2 / len(keepgramcounterall_rep)
    SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			keeptmpscorea / sum(keepgramcounterall_rep.values() )
  SCREAMING_SNAKE_CASE				:					Any		  =			0
  if keepscore_precision > 0 or keepscore_recall > 0:
    SCREAMING_SNAKE_CASE				:					int		  =			2 * keepscore_precision * keepscore_recall / (keepscore_precision + keepscore_recall)

  # DELETION
  SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			sgramcounter_rep - cgramcounter_rep
  SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			delgramcounter_rep - rgramcounter
  SCREAMING_SNAKE_CASE				:					Dict		  =			sgramcounter_rep - rgramcounter
  SCREAMING_SNAKE_CASE				:					List[str]		  =			0
  SCREAMING_SNAKE_CASE				:					int		  =			0
  for delgram in delgramcountergood_rep:
    deltmpscorea += delgramcountergood_rep[delgram] / delgramcounter_rep[delgram]
    deltmpscorea += delgramcountergood_rep[delgram] / delgramcounterall_rep[delgram]
  # Define 0/0=1 instead of 0 to give higher scores for predictions that match
  # a target exactly.
  SCREAMING_SNAKE_CASE				:					List[Any]		  =			1
  if len(lowercase ) > 0:
    SCREAMING_SNAKE_CASE				:					str		  =			deltmpscorea / len(lowercase )

  # ADDITION
  SCREAMING_SNAKE_CASE				:					Dict		  =			set(lowercase ) - set(lowercase )
  SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			set(lowercase ) & set(lowercase )
  SCREAMING_SNAKE_CASE				:					int		  =			set(lowercase ) - set(lowercase )

  SCREAMING_SNAKE_CASE				:					Any		  =			0
  for addgram in addgramcountergood:
    addtmpscore += 1

  # Define 0/0=1 instead of 0 to give higher scores for predictions that match
  # a target exactly.
  SCREAMING_SNAKE_CASE				:					Optional[int]		  =			1
  SCREAMING_SNAKE_CASE				:					Tuple		  =			1
  if len(lowercase ) > 0:
    SCREAMING_SNAKE_CASE				:					str		  =			addtmpscore / len(lowercase )
  if len(lowercase ) > 0:
    SCREAMING_SNAKE_CASE				:					List[str]		  =			addtmpscore / len(lowercase )
  SCREAMING_SNAKE_CASE				:					Any		  =			0
  if addscore_precision > 0 or addscore_recall > 0:
    SCREAMING_SNAKE_CASE				:					str		  =			2 * addscore_precision * addscore_recall / (addscore_precision + addscore_recall)

  return (keepscore, delscore_precision, addscore)


def      lowerCamelCase__	(   lowercase  ,   lowercase  ,   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					List[Any]		  =			len(lowercase )

  SCREAMING_SNAKE_CASE				:					Dict		  =			ssent.split(" " )
  SCREAMING_SNAKE_CASE				:					str		  =			csent.split(" " )
  SCREAMING_SNAKE_CASE				:					Optional[int]		  =			[]
  SCREAMING_SNAKE_CASE				:					Any		  =			[]
  SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			[]
  SCREAMING_SNAKE_CASE				:					Any		  =			[]
  SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			[]
  SCREAMING_SNAKE_CASE				:					Any		  =			[]

  SCREAMING_SNAKE_CASE				:					List[str]		  =			[]
  SCREAMING_SNAKE_CASE				:					int		  =			[]
  SCREAMING_SNAKE_CASE				:					Dict		  =			[]
  SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			[]
  for rsent in rsents:
    SCREAMING_SNAKE_CASE				:					Any		  =			rsent.split(" " )
    SCREAMING_SNAKE_CASE				:					int		  =			[]
    SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			[]
    SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			[]
    ragramslist.append(lowercase )
    for i in range(0  ,   len(lowercase ) - 1 ):
      if i < len(lowercase ) - 1:
        SCREAMING_SNAKE_CASE				:					Tuple		  =			ragrams[i] + " " + ragrams[i + 1]
        ragrams.append(lowercase )
      if i < len(lowercase ) - 2:
        SCREAMING_SNAKE_CASE				:					Optional[int]		  =			ragrams[i] + " " + ragrams[i + 1] + " " + ragrams[i + 2]
        ragrams.append(lowercase )
      if i < len(lowercase ) - 3:
        SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			ragrams[i] + " " + ragrams[i + 1] + " " + ragrams[i + 2] + " " + ragrams[i + 3]
        ragrams.append(lowercase )
    ragramslist.append(lowercase )
    ragramslist.append(lowercase )
    ragramslist.append(lowercase )

  for i in range(0  ,   len(lowercase ) - 1 ):
    if i < len(lowercase ) - 1:
      SCREAMING_SNAKE_CASE				:					List[Any]		  =			sagrams[i] + " " + sagrams[i + 1]
      sagrams.append(lowercase )
    if i < len(lowercase ) - 2:
      SCREAMING_SNAKE_CASE				:					int		  =			sagrams[i] + " " + sagrams[i + 1] + " " + sagrams[i + 2]
      sagrams.append(lowercase )
    if i < len(lowercase ) - 3:
      SCREAMING_SNAKE_CASE				:					Dict		  =			sagrams[i] + " " + sagrams[i + 1] + " " + sagrams[i + 2] + " " + sagrams[i + 3]
      sagrams.append(lowercase )

  for i in range(0  ,   len(lowercase ) - 1 ):
    if i < len(lowercase ) - 1:
      SCREAMING_SNAKE_CASE				:					Optional[int]		  =			cagrams[i] + " " + cagrams[i + 1]
      cagrams.append(lowercase )
    if i < len(lowercase ) - 2:
      SCREAMING_SNAKE_CASE				:					str		  =			cagrams[i] + " " + cagrams[i + 1] + " " + cagrams[i + 2]
      cagrams.append(lowercase )
    if i < len(lowercase ) - 3:
      SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			cagrams[i] + " " + cagrams[i + 1] + " " + cagrams[i + 2] + " " + cagrams[i + 3]
      cagrams.append(lowercase )

  ((SCREAMING_SNAKE_CASE)  ,     (SCREAMING_SNAKE_CASE)  ,     (SCREAMING_SNAKE_CASE))				:					Any		  =			SARIngram(lowercase  ,   lowercase  ,   lowercase  ,   lowercase )
  ((SCREAMING_SNAKE_CASE)  ,     (SCREAMING_SNAKE_CASE)  ,     (SCREAMING_SNAKE_CASE))				:					List[Any]		  =			SARIngram(lowercase  ,   lowercase  ,   lowercase  ,   lowercase )
  ((SCREAMING_SNAKE_CASE)  ,     (SCREAMING_SNAKE_CASE)  ,     (SCREAMING_SNAKE_CASE))				:					List[str]		  =			SARIngram(lowercase  ,   lowercase  ,   lowercase  ,   lowercase )
  ((SCREAMING_SNAKE_CASE)  ,     (SCREAMING_SNAKE_CASE)  ,     (SCREAMING_SNAKE_CASE))				:					Optional[Any]		  =			SARIngram(lowercase  ,   lowercase  ,   lowercase  ,   lowercase )
  SCREAMING_SNAKE_CASE				:					int		  =			sum([keepascore, keepascore, keepascore, keepascore] ) / 4
  SCREAMING_SNAKE_CASE				:					List[str]		  =			sum([delascore, delascore, delascore, delascore] ) / 4
  SCREAMING_SNAKE_CASE				:					Any		  =			sum([addascore, addascore, addascore, addascore] ) / 4
  SCREAMING_SNAKE_CASE				:					int		  =			(avgkeepscore + avgdelscore + avgaddscore) / 3
  return finalscore


def      lowerCamelCase__	(   lowercase  ,   lowercase = True  ,   lowercase = "13a"  ,   lowercase = True ):

  """simple docstring"""






  if lowercase:
    SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			sentence.lower()

  if tokenizer in ["13a", "intl"]:
    if version.parse(sacrebleu.__version__ ).major >= 2:
      SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			sacrebleu.metrics.bleu._get_tokenizer(lowercase )()(lowercase )
    else:
      SCREAMING_SNAKE_CASE				:					Tuple		  =			sacrebleu.TOKENIZERS[tokenizer]()(lowercase )
  elif tokenizer == "moses":
    SCREAMING_SNAKE_CASE				:					Dict		  =			sacremoses.MosesTokenizer().tokenize(lowercase  ,   return_str=lowercase  ,   escape=lowercase )
  elif tokenizer == "penn":
    SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			sacremoses.MosesTokenizer().penn_tokenize(lowercase  ,   return_str=lowercase )
  else:
    SCREAMING_SNAKE_CASE				:					str		  =			sentence

  if not return_str:
    SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			normalized_sent.split()

  return normalized_sent


@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION					,						_KWARGS_DESCRIPTION    )
class        SCREAMING_SNAKE_CASE	(	datasets.Metric    ):
     '''simple docstring'''


     def  _A				( self				:		Optional[int]					):
       return datasets.MetricInfo(
           description=_DESCRIPTION    ,       citation=_CITATION    ,       inputs_description=_KWARGS_DESCRIPTION    ,       features=datasets.Features(
               {
                   "sources": datasets.Value("string"    ,       id="sequence"					),
                   "predictions": datasets.Value("string"    ,       id="sequence"					),
                   "references": datasets.Sequence(datasets.Value("string"    ,       id="sequence"					)    ,       id="references"					),
               }					)    ,       codebase_urls=[
               "https://github.com/cocoxu/simplification/blob/master/SARI.py",
               "https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/utils/sari_hook.py",
           ]    ,       reference_urls=["https://www.aclweb.org/anthology/Q16-1029.pdf"]    ,       )






     def  _A				( self				:		str    ,       UpperCAmelCase_				:		int    ,       UpperCAmelCase_				:		int    ,       UpperCAmelCase_				:		Optional[int]					):
       if not (len(UpperCAmelCase_					) == len(UpperCAmelCase_					) == len(UpperCAmelCase_					)):
         raise ValueError("Sources length must match predictions and references lengths."					)
       SCREAMING_SNAKE_CASE				:					Any		  =			0
       for src, pred, refs in zip(UpperCAmelCase_    ,       UpperCAmelCase_    ,       UpperCAmelCase_					):
         sari_score += SARIsent(normalize(UpperCAmelCase_					)    ,       normalize(UpperCAmelCase_					)    ,       [normalize(UpperCAmelCase_					) for sent in refs]					)
       SCREAMING_SNAKE_CASE				:					List[str]		  =			sari_score / len(UpperCAmelCase_					)
       return {"sari": 100 * sari_score}






