






from __future__ import annotations

import math
import random
from typing import Any


class     _a							:






  """simple docstring"""





  def __init__(  self			)      ->			None:
     UpperCamelCase_						=  []
     UpperCamelCase_						=  0
     UpperCamelCase_						=  0




  def  _UpperCAmelCase  (  self			)      ->			bool:
     return self.head == self.tail




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     self.data.append(_UpperCAmelCase			)
     UpperCamelCase_						=  self.tail + 1




  def  _UpperCAmelCase  (  self			)      ->			Any:
     UpperCamelCase_						=  self.data[self.head]
     UpperCamelCase_						=  self.head + 1
     return ret




  def  _UpperCAmelCase  (  self			)      ->			int:
     return self.tail - self.head




  def  _UpperCAmelCase  (  self			)      ->			None:
     print(self.data			)
     print('**************'			)
     print(self.data[self.head : self.tail]			)




class     _a							:






  """simple docstring"""





  def __init__(  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  data
     UpperCamelCase_						=  None
     UpperCamelCase_						=  None
     UpperCamelCase_						=  1




  def  _UpperCAmelCase  (  self			)      ->			Any:
     return self.data




  def  _UpperCAmelCase  (  self			)      ->			MyNode | None:
     return self.left




  def  _UpperCAmelCase  (  self			)      ->			MyNode | None:
     return self.right




  def  _UpperCAmelCase  (  self			)      ->			int:
     return self.height




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  data




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  node




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  node




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  height






def      _snake_case     (__lowercase):
   if node is None:
      return 0
   return node.get_height()






def      _snake_case     (__lowercase     ,   __lowercase):
   if a > b:
      return a
   return b






def      _snake_case     (__lowercase):
   print('left rotation node:'     ,   node.get_data())
   UpperCamelCase_						=  node.get_left()
   assert ret is not None
   node.set_left(ret.get_right())
   ret.set_right(__lowercase)
   UpperCamelCase_						=  my_max(get_height(node.get_right())     ,   get_height(node.get_left())) + 1
   node.set_height(__lowercase)
   UpperCamelCase_						=  my_max(get_height(ret.get_right())     ,   get_height(ret.get_left())) + 1
   ret.set_height(__lowercase)
   return ret






def      _snake_case     (__lowercase):
   print('right rotation node:'     ,   node.get_data())
   UpperCamelCase_						=  node.get_right()
   assert ret is not None
   node.set_right(ret.get_left())
   ret.set_left(__lowercase)
   UpperCamelCase_						=  my_max(get_height(node.get_right())     ,   get_height(node.get_left())) + 1
   node.set_height(__lowercase)
   UpperCamelCase_						=  my_max(get_height(ret.get_right())     ,   get_height(ret.get_left())) + 1
   ret.set_height(__lowercase)
   return ret






def      _snake_case     (__lowercase):
   UpperCamelCase_						=  node.get_left()
   assert left_child is not None
   node.set_left(left_rotation(__lowercase))
   return right_rotation(__lowercase)






def      _snake_case     (__lowercase):
   UpperCamelCase_						=  node.get_right()
   assert right_child is not None
   node.set_right(right_rotation(__lowercase))
   return left_rotation(__lowercase)






def      _snake_case     (__lowercase     ,   __lowercase):
   if node is None:
      return MyNode(__lowercase)
   if data < node.get_data():
      node.set_left(insert_node(node.get_left()     ,   __lowercase))
      if (
          get_height(node.get_left()) - get_height(node.get_right()) == 2
      ):  # an unbalance detected
         UpperCamelCase_						=  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_						=  right_rotation(__lowercase)
         else:
            UpperCamelCase_						=  lr_rotation(__lowercase)
   else:
      node.set_right(insert_node(node.get_right()     ,   __lowercase))
      if get_height(node.get_right()) - get_height(node.get_left()) == 2:
         UpperCamelCase_						=  node.get_right()
         assert right_child is not None
         if data < right_child.get_data():
            UpperCamelCase_						=  rl_rotation(__lowercase)
         else:
            UpperCamelCase_						=  left_rotation(__lowercase)
   UpperCamelCase_						=  my_max(get_height(node.get_right())     ,   get_height(node.get_left())) + 1
   node.set_height(__lowercase)
   return node






def      _snake_case     (__lowercase):
   while True:
      UpperCamelCase_						=  root.get_right()
      if right_child is None:
         break
      UpperCamelCase_						=  right_child
   return root.get_data()






def      _snake_case     (__lowercase):
   while True:
      UpperCamelCase_						=  root.get_left()
      if left_child is None:
         break
      UpperCamelCase_						=  left_child
   return root.get_data()






def      _snake_case     (__lowercase     ,   __lowercase):
   UpperCamelCase_						=  root.get_left()
   UpperCamelCase_						=  root.get_right()
   if root.get_data() == data:
      if left_child is not None and right_child is not None:
         UpperCamelCase_						=  get_left_most(__lowercase)
         root.set_data(__lowercase)
         root.set_right(del_node(__lowercase     ,   __lowercase))
      elif left_child is not None:
         UpperCamelCase_						=  left_child
      elif right_child is not None:
         UpperCamelCase_						=  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(__lowercase     ,   __lowercase))
   else:  # root.get_data() < data
      if right_child is None:
         return root
      else:
         root.set_right(del_node(__lowercase     ,   __lowercase))

   if get_height(__lowercase) - get_height(__lowercase) == 2:
      assert right_child is not None
      if get_height(right_child.get_right()) > get_height(right_child.get_left()):
         UpperCamelCase_						=  left_rotation(__lowercase)
      else:
         UpperCamelCase_						=  rl_rotation(__lowercase)
   elif get_height(__lowercase) - get_height(__lowercase) == -2:
      assert left_child is not None
      if get_height(left_child.get_left()) > get_height(left_child.get_right()):
         UpperCamelCase_						=  right_rotation(__lowercase)
      else:
         UpperCamelCase_						=  lr_rotation(__lowercase)
   UpperCamelCase_						=  my_max(get_height(root.get_right())     ,   get_height(root.get_left())) + 1
   root.set_height(__lowercase)
   return root


class     _a							:






  """simple docstring"""





  def __init__(  self			)      ->			None:
     UpperCamelCase_						=  None




  def  _UpperCAmelCase  (  self			)      ->			int:
     return get_height(self.root			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     print('insert:' + str(_UpperCAmelCase			)			)
     UpperCamelCase_						=  insert_node(self.root		,		_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     print('delete:' + str(_UpperCAmelCase			)			)
     if self.root is None:
        print('Tree is empty!'			)
        return
     UpperCamelCase_						=  del_node(self.root		,		_UpperCAmelCase			)




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






def      _snake_case     ():
   import doctest

   doctest.testmod()


if __name__ == "__main__":
 _test()
 snake_case__   :						Optional[Any]													=   AVLtree()
 snake_case__   :						Union[str, Any]													=   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))












"""simple docstring"""






import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_torch_available, is_vision_available


if is_torch_available():
		import torch


if is_vision_available():
		from PIL import Image

		from transformers import MgpstrProcessor, ViTImageProcessor



@require_torch
@require_vision
class 					__UpperCAmelCase							(						unittest.TestCase  ):
				__lowerCamelCase				:	int				     =				ViTImageProcessor if is_vision_available() else None
				@property
				def       UpperCAmelCase      (		self    :			List[str]    )	->	List[str]:



							'''simple docstring'''



							return self.image_processor_tester.prepare_image_processor_dict()
				def       UpperCAmelCase      (		self    :			Union[str, Any]    )	->	Optional[Any]:



							'''simple docstring'''



							a__  :	Optional[Any]		 =			(3, 32, 1_28)
							a__  :	Any		 =			tempfile.mkdtemp()

							# fmt: off
							a__  :	str		 =			["[GO]", "[s]", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"]
							# fmt: on
							a__  :	List[Any]		 =			dict(zip(a_	, range(len(a_    )    )    )    )

							a__  :	int		 =			os.path.join(self.tmpdirname	, VOCAB_FILES_NAMES["vocab_file"]    )
							with open(self.vocab_file	, "w"	, encoding="utf-8"    ) as fp:
										fp.write(json.dumps(a_    ) + "\n"    )

							a__  :	Any		 =			{
							    "do_normalize": False,
							    "do_resize": True,
							    "image_processor_type": "ViTImageProcessor",
							    "resample": 3,
							    "size": {"height": 32, "width": 1_28},
							}
							a__  :	Tuple		 =			os.path.join(self.tmpdirname	, a_    )
							with open(self.image_processor_file	, "w"	, encoding="utf-8"    ) as fp:
										json.dump(a_	, a_    )
				def       UpperCAmelCase      (		self    :			List[str]	, **a_    :			List[str]    )	->	Union[str, Any]:



							'''simple docstring'''



							return MgpstrTokenizer.from_pretrained(self.tmpdirname	, **a_    )
				def       UpperCAmelCase      (		self    :			List[Any]	, **a_    :			Union[str, Any]    )	->	Dict:



							'''simple docstring'''



							return ViTImageProcessor.from_pretrained(self.tmpdirname	, **a_    )
				def       UpperCAmelCase      (		self    :			Dict    )	->	int:



							'''simple docstring'''



							shutil.rmtree(self.tmpdirname    )
				def       UpperCAmelCase      (		self    :			List[str]    )	->	Any:



							'''simple docstring'''



							a__  :	Any		 =			np.random.randint(2_55	, size=(3, 30, 4_00)	, dtype=np.uinta    )

							a__  :	List[str]		 =			Image.fromarray(np.moveaxis(a_	, 0	, -1    )    )

							return image_input
				def       UpperCAmelCase      (		self    :			Union[str, Any]    )	->	Optional[Any]:



							'''simple docstring'''



							a__  :	List[Any]		 =			self.get_tokenizer()
							a__  :	Any		 =			self.get_image_processor()

							a__  :	Optional[int]		 =			MgpstrProcessor(tokenizer=a_	, image_processor=a_    )
							processor.save_pretrained(self.tmpdirname    )
							a__  :	Optional[Any]		 =			MgpstrProcessor.from_pretrained(self.tmpdirname	, use_fast=a_    )

							self.assertEqual(processor.char_tokenizer.get_vocab()	, tokenizer.get_vocab()    )
							self.assertIsInstance(processor.char_tokenizer	, a_    )

							self.assertEqual(processor.image_processor.to_json_string()	, image_processor.to_json_string()    )
							self.assertIsInstance(processor.image_processor	, a_    )
				def       UpperCAmelCase      (		self    :			Union[str, Any]    )	->	str:



							'''simple docstring'''



							a__  :	Optional[Any]		 =			self.get_tokenizer()
							a__  :	Tuple		 =			self.get_image_processor()

							a__  :	Optional[int]		 =			MgpstrProcessor(tokenizer=a_	, image_processor=a_    )
							processor.save_pretrained(self.tmpdirname    )

							a__  :	Union[str, Any]		 =			self.get_tokenizer(bos_token="(BOS)"	, eos_token="(EOS)"    )
							a__  :	Any		 =			self.get_image_processor(do_normalize=a_	, padding_value=1.0    )

							a__  :	Dict		 =			MgpstrProcessor.from_pretrained(
							    self.tmpdirname	, bos_token="(BOS)"	, eos_token="(EOS)"	, do_normalize=a_	, padding_value=1.0    )

							self.assertEqual(processor.char_tokenizer.get_vocab()	, tokenizer_add_kwargs.get_vocab()    )
							self.assertIsInstance(processor.char_tokenizer	, a_    )

							self.assertEqual(processor.image_processor.to_json_string()	, image_processor_add_kwargs.to_json_string()    )
							self.assertIsInstance(processor.image_processor	, a_    )
				def       UpperCAmelCase      (		self    :			Optional[int]    )	->	Dict:



							'''simple docstring'''



							a__  :	str		 =			self.get_image_processor()
							a__  :	Union[str, Any]		 =			self.get_tokenizer()

							a__  :	Any		 =			MgpstrProcessor(tokenizer=a_	, image_processor=a_    )

							a__  :	List[str]		 =			self.prepare_image_inputs()

							a__  :	List[Any]		 =			image_processor(a_	, return_tensors="np"    )
							a__  :	Optional[Any]		 =			processor(images=a_	, return_tensors="np"    )

							for key in input_image_proc.keys():
										self.assertAlmostEqual(input_image_proc[key].sum()	, input_processor[key].sum()	, delta=1E-2    )
				def       UpperCAmelCase      (		self    :			Tuple    )	->	int:



							'''simple docstring'''



							a__  :	Optional[Any]		 =			self.get_image_processor()
							a__  :	List[Any]		 =			self.get_tokenizer()

							a__  :	int		 =			MgpstrProcessor(tokenizer=a_	, image_processor=a_    )

							a__  :	List[str]		 =			"test"

							a__  :	Any		 =			processor(text=a_    )

							a__  :	Tuple		 =			tokenizer(a_    )
							for key in encoded_tok.keys():
										self.assertListEqual(encoded_tok[key]	, encoded_processor[key]    )
				def       UpperCAmelCase      (		self    :			Optional[int]    )	->	Optional[int]:



							'''simple docstring'''



							a__  :	Tuple		 =			self.get_image_processor()
							a__  :	List[str]		 =			self.get_tokenizer()

							a__  :	List[Any]		 =			MgpstrProcessor(tokenizer=a_	, image_processor=a_    )

							a__  :	str		 =			"test"
							a__  :	str		 =			self.prepare_image_inputs()

							a__  :	Any		 =			processor(text=a_	, images=a_    )

							self.assertListEqual(list(inputs.keys()    )	, ["pixel_values", "labels"]    )

							# test if it raises when no input is passed
							with pytest.raises(a_    ):
										processor()
				def       UpperCAmelCase      (		self    :			List[str]    )	->	int:



							'''simple docstring'''



							a__  :	Any		 =			self.get_image_processor()
							a__  :	Tuple		 =			self.get_tokenizer()

							a__  :	Dict		 =			MgpstrProcessor(tokenizer=a_	, image_processor=a_    )

							a__  :	Optional[Any]		 =			[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9], [3, 4, 3, 1, 1, 8, 9]]

							a__  :	Any		 =			processor.char_decode(a_    )
							a__  :	str		 =			tokenizer.batch_decode(a_    )
							a__  :	Union[str, Any]		 =			[seq.replace(" "	, ""    ) for seq in decoded_tok]

							self.assertListEqual(a_	, a_    )
				def       UpperCAmelCase      (		self    :			List[Any]    )	->	Dict:



							'''simple docstring'''



							a__  :	List[str]		 =			self.get_image_processor()
							a__  :	Any		 =			self.get_tokenizer()

							a__  :	Any		 =			MgpstrProcessor(tokenizer=a_	, image_processor=a_    )

							a__  :	str		 =			None
							a__  :	Optional[Any]		 =			self.prepare_image_inputs()

							a__  :	Optional[int]		 =			processor(text=a_	, images=a_    )

							self.assertListEqual(list(inputs.keys()    )	, processor.model_input_names    )






				def       UpperCAmelCase      (		self    :			Optional[int]    )	->	List[Any]:



							'''simple docstring'''



							a__  :	List[Any]		 =			self.get_image_processor()
							a__  :	List[str]		 =			self.get_tokenizer()

							a__  :	Optional[Any]		 =			MgpstrProcessor(tokenizer=a_	, image_processor=a_    )

							a__  :	List[str]		 =			torch.randn(1	, 27	, 38    )
							a__  :	Tuple		 =			torch.randn(1	, 27	, 5_02_57    )
							a__  :	List[Any]		 =			torch.randn(1	, 27	, 3_05_22    )

							a__  :	Optional[Any]		 =			processor.batch_decode([char_input, bpe_input, wp_input]    )

							self.assertListEqual(list(results.keys()    )	, ["generated_text", "scores", "char_preds", "bpe_preds", "wp_preds"]    )