






from __future__ import annotations

import math
import random
from typing import Any


class 	A_ :




      '''simple docstring'''


      def __init__(    self:	List[str]    ):
       __lowerCamelCase		:							list[Any]		 =						[]
       __lowerCamelCase		:							int		 =						0
       __lowerCamelCase		:							int		 =						0




      def 					_snake_case     (    self:	Tuple    ):
       return self.head == self.tail




      def 					_snake_case     (    self:	int						,				a:	Any    ):
       self.data.append(__a    )
       __lowerCamelCase		:							Optional[int]		 =						self.tail + 1




      def 					_snake_case     (    self:	Dict    ):
       __lowerCamelCase		:							Any		 =						self.data[self.head]
       __lowerCamelCase		:							Dict		 =						self.head + 1
       return ret




      def 					_snake_case     (    self:	List[str]    ):
       return self.tail - self.head




      def 					_snake_case     (    self:	Union[str, Any]    ):
       print(self.data    )
       print('**************'    )
       print(self.data[self.head : self.tail]    )



class 	A_ :




      '''simple docstring'''


      def __init__(    self:	List[Any]						,				a:	Any    ):
       __lowerCamelCase		:							List[str]		 =						data
       __lowerCamelCase		:							MyNode | None		 =						None
       __lowerCamelCase		:							MyNode | None		 =						None
       __lowerCamelCase		:							int		 =						1




      def 					_snake_case     (    self:	Dict    ):
       return self.data




      def 					_snake_case     (    self:	List[str]    ):
       return self.left




      def 					_snake_case     (    self:	Optional[Any]    ):
       return self.right




      def 					_snake_case     (    self:	Optional[Any]    ):
       return self.height




      def 					_snake_case     (    self:	Tuple						,				a:	Any    ):
       __lowerCamelCase		:							Dict		 =						data




      def 					_snake_case     (    self:	List[str]						,				a:	MyNode | None    ):
       __lowerCamelCase		:							List[str]		 =						node




      def 					_snake_case     (    self:	str						,				a:	MyNode | None    ):
       __lowerCamelCase		:							int		 =						node




      def 					_snake_case     (    self:	Tuple						,				a:	int    ):
       __lowerCamelCase		:							Tuple		 =						height



def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 if node is None:
  return 0
 return node.get_height()
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__      ,	SCREAMING_SNAKE_CASE__						):
 if a > b:
  return a
 return b
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 print('left rotation node:'      ,	node.get_data()						)
 __lowerCamelCase		:							Any		 =						node.get_left()
 assert ret is not None
 node.set_left(ret.get_right()						)
 ret.set_right(_UpperCAmelCase						)
 __lowerCamelCase		:							Optional[int]		 =						my_max(get_height(node.get_right()						)      ,	get_height(node.get_left()						)						) + 1
 node.set_height(_UpperCAmelCase						)
 __lowerCamelCase		:							Optional[Any]		 =						my_max(get_height(ret.get_right()						)      ,	get_height(ret.get_left()						)						) + 1
 ret.set_height(_UpperCAmelCase						)
 return ret
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 print('right rotation node:'      ,	node.get_data()						)
 __lowerCamelCase		:							Dict		 =						node.get_right()
 assert ret is not None
 node.set_right(ret.get_left()						)
 ret.set_left(_UpperCAmelCase						)
 __lowerCamelCase		:							Union[str, Any]		 =						my_max(get_height(node.get_right()						)      ,	get_height(node.get_left()						)						) + 1
 node.set_height(_UpperCAmelCase						)
 __lowerCamelCase		:							List[str]		 =						my_max(get_height(ret.get_right()						)      ,	get_height(ret.get_left()						)						) + 1
 ret.set_height(_UpperCAmelCase						)
 return ret
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							str		 =						node.get_left()
 assert left_child is not None
 node.set_left(left_rotation(_UpperCAmelCase						)						)
 return right_rotation(_UpperCAmelCase						)
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							int		 =						node.get_right()
 assert right_child is not None
 node.set_right(right_rotation(_UpperCAmelCase						)						)
 return left_rotation(_UpperCAmelCase						)
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__      ,	SCREAMING_SNAKE_CASE__						):
 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
   __lowerCamelCase		:							List[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
    __lowerCamelCase		:							Any		 =						right_rotation(_UpperCAmelCase						)
   else:
    __lowerCamelCase		:							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:
   __lowerCamelCase		:							Dict		 =						node.get_right()
   assert right_child is not None
   if data < right_child.get_data():
    __lowerCamelCase		:							Tuple		 =						rl_rotation(_UpperCAmelCase						)
   else:
    __lowerCamelCase		:							int		 =						left_rotation(_UpperCAmelCase						)
 __lowerCamelCase		:							Optional[Any]		 =						my_max(get_height(node.get_right()						)      ,	get_height(node.get_left()						)						) + 1
 node.set_height(_UpperCAmelCase						)
 return node
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 while True:
  __lowerCamelCase		:							int		 =						root.get_right()
  if right_child is None:
   break
  __lowerCamelCase		:							int		 =						right_child
 return root.get_data()
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 while True:
  __lowerCamelCase		:							List[Any]		 =						root.get_left()
  if left_child is None:
   break
  __lowerCamelCase		:							List[str]		 =						left_child
 return root.get_data()
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__      ,	SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							Tuple		 =						root.get_left()
 __lowerCamelCase		:							int		 =						root.get_right()
 if root.get_data() == data:
  if left_child is not None and right_child is not None:
   __lowerCamelCase		:							Any		 =						get_left_most(_UpperCAmelCase						)
   root.set_data(_UpperCAmelCase						)
   root.set_right(del_node(_UpperCAmelCase      ,	_UpperCAmelCase						)						)
  elif left_child is not None:
   __lowerCamelCase		:							Tuple		 =						left_child
  elif right_child is not None:
   __lowerCamelCase		:							str		 =						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()						):
   __lowerCamelCase		:							List[Any]		 =						left_rotation(_UpperCAmelCase						)
  else:
   __lowerCamelCase		:							Tuple		 =						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()						):
   __lowerCamelCase		:							List[Any]		 =						right_rotation(_UpperCAmelCase						)
  else:
   __lowerCamelCase		:							Any		 =						lr_rotation(_UpperCAmelCase						)
 __lowerCamelCase		:							List[str]		 =						my_max(get_height(root.get_right()						)      ,	get_height(root.get_left()						)						) + 1
 root.set_height(_UpperCAmelCase						)
 return root


class 	A_ :




      '''simple docstring'''


      def __init__(    self:	Dict    ):
       __lowerCamelCase		:							MyNode | None		 =						None




      def 					_snake_case     (    self:	str    ):
       return get_height(self.root    )




      def 					_snake_case     (    self:	List[str]						,				a:	Any    ):
       print('insert:' + str(__a    )    )
       __lowerCamelCase		:							Optional[Any]		 =						insert_node(self.root						,				__a    )




      def 					_snake_case     (    self:	Union[str, Any]						,				a:	Any    ):
       print('delete:' + str(__a    )    )
       if self.root is None:
        print('Tree is empty!'    )
        return
       __lowerCamelCase		:							Optional[Any]		 =						del_node(self.root						,				__a    )




      def __str__(    self:	Optional[Any]						,				):  # a level traversale, gives a more intuitive look on the tree
       __lowerCamelCase		:							Union[str, Any]		 =						''
       __lowerCamelCase		:							List[Any]		 =						MyQueue()
       q.push(self.root    )
       __lowerCamelCase		:							Dict		 =						self.get_height()
       if layer == 0:
        return output
       __lowerCamelCase		:							Any		 =						0
       while not q.is_empty():
        __lowerCamelCase		:							List[str]		 =						q.pop()
        __lowerCamelCase		:							List[Any]		 =						' ' * int(math.pow(2						,				layer - 1    )    )
        output += space
        if node is None:
         output += "*"
         q.push(__a    )
         q.push(__a    )
        else:
         output += str(node.get_data()    )
         q.push(node.get_left()    )
         q.push(node.get_right()    )
        output += space
        __lowerCamelCase		:							Dict		 =						cnt + 1
        for i in range(100    ):
         if cnt == math.pow(2						,				__a    ) - 1:
          __lowerCamelCase		:							Union[str, Any]		 =						layer - 1
          if layer == 0:
           output += "\n*************************************"
           return output
          output += "\n"
          break
       output += "\n*************************************"
       return output



def 				UpperCamelCase__					(  ):
 import doctest

 doctest.testmod()


if __name__ == "__main__":
       _test()
       lowercase_	   =     AVLtree()
       lowercase_	   =     list(range(1_0))
       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))





import json
import os
import tempfile

import transformers

import datasets
from utils import generate_example_dataset, get_duration


lowercase_	   =     5_0_0_0_0_0

lowercase_   ,lowercase_	   =     os.path.split(__file__)
lowercase_	   =     os.path.join(RESULTS_BASEPATH, 'results', RESULTS_FILENAME.replace('.py', '.json'))
@get_duration
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__      ,	**SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							Optional[int]		 =						dataset.map(**SCREAMING_SNAKE_CASE__						)
@get_duration
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__      ,	**SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							Tuple		 =						dataset.filter(**SCREAMING_SNAKE_CASE__						)
def 				UpperCamelCase__					(  ):
 __lowerCamelCase		:							str		 =						{'num examples': SPEED_TEST_N_EXAMPLES}
 with tempfile.TemporaryDirectory() as tmp_dir:
  __lowerCamelCase		:							Any		 =						datasets.Features({'text': datasets.Value('string'						), 'numbers': datasets.Value('float32'						)}						)
  __lowerCamelCase		:							Any		 =						generate_example_dataset(
      os.path.join(SCREAMING_SNAKE_CASE__      ,	'dataset.arrow'						)      ,	SCREAMING_SNAKE_CASE__      ,	num_examples=SCREAMING_SNAKE_CASE__						)

  __lowerCamelCase		:							List[Any]		 =						transformers.AutoTokenizer.from_pretrained('bert-base-cased'      ,	use_fast=SCREAMING_SNAKE_CASE__						)

  def tokenize(SCREAMING_SNAKE_CASE__						):
   return tokenizer(examples['text']						)

  __lowerCamelCase		:							str		 =						map(SCREAMING_SNAKE_CASE__						)

  __lowerCamelCase		:							int		 =						map(SCREAMING_SNAKE_CASE__      ,	batched=SCREAMING_SNAKE_CASE__						)

  __lowerCamelCase		:							Optional[int]		 =						map(SCREAMING_SNAKE_CASE__      ,	function=lambda SCREAMING_SNAKE_CASE__						: None      ,	batched=SCREAMING_SNAKE_CASE__						)

  with dataset.formatted_as(type='numpy'						):
   __lowerCamelCase		:							Union[str, Any]		 =						map(SCREAMING_SNAKE_CASE__      ,	function=lambda SCREAMING_SNAKE_CASE__						: None      ,	batched=SCREAMING_SNAKE_CASE__						)

  with dataset.formatted_as(type='pandas'						):
   __lowerCamelCase		:							Any		 =						map(SCREAMING_SNAKE_CASE__      ,	function=lambda SCREAMING_SNAKE_CASE__						: None      ,	batched=SCREAMING_SNAKE_CASE__						)

  with dataset.formatted_as(type='torch'      ,	columns='numbers'						):
   __lowerCamelCase		:							List[str]		 =						map(SCREAMING_SNAKE_CASE__      ,	function=lambda SCREAMING_SNAKE_CASE__						: None      ,	batched=SCREAMING_SNAKE_CASE__						)

  with dataset.formatted_as(type='tensorflow'      ,	columns='numbers'						):
   __lowerCamelCase		:							List[Any]		 =						map(SCREAMING_SNAKE_CASE__      ,	function=lambda SCREAMING_SNAKE_CASE__						: None      ,	batched=SCREAMING_SNAKE_CASE__						)

  __lowerCamelCase		:							Optional[Any]		 =						map(SCREAMING_SNAKE_CASE__      ,	function=SCREAMING_SNAKE_CASE__      ,	batched=SCREAMING_SNAKE_CASE__						)

  __lowerCamelCase		:							Optional[int]		 =						filter(SCREAMING_SNAKE_CASE__						)

  # Activate later when tokenizer support batched inputs
  # with dataset.formatted_as(type='numpy'):
  #     times[func.__name__ + " fast-tokenizer batched numpy"] = func(dataset, function=tokenize, batched=True)

 with open(SCREAMING_SNAKE_CASE__      ,	'wb'						) as f:
  f.write(json.dumps(SCREAMING_SNAKE_CASE__						).encode('utf-8'						)						)


if __name__ == "__main__":  # useful to run the profiler
       benchmark_map_filter()

