






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 ):
	__snake_case						:str =							ViTImageProcessor if is_vision_available() else None







	@property
	def 			_a (	self   :				Optional[Any]      )		->			Dict:
		"""simple docstring"""







		return self.image_processor_tester.prepare_image_processor_dict()







	def 			_a (	self   :				Optional[int]      )		->			Any:
		"""simple docstring"""







		__lowercase   							=	(3, 32, 128)
		__lowercase   							=	tempfile.mkdtemp()

		# fmt: off
		__lowercase   							=	["""[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
		__lowercase   							=	dict(zip(_lowerCAmelCase							,					range(len(_lowerCAmelCase      )      )      )      )

		__lowercase   							=	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(_lowerCAmelCase      ) + """\n"""      )

		__lowercase   							=	{
		    """do_normalize""": False,
		    """do_resize""": True,
		    """image_processor_type""": """ViTImageProcessor""",
		    """resample""": 3,
		    """size""": {"""height""": 32, """width""": 128},
		}
		__lowercase   							=	os.path.join(self.tmpdirname							,					_lowerCAmelCase      )
		with open(self.image_processor_file							,					"""w"""							,					encoding="""utf-8"""      ) as fp:
			json.dump(_lowerCAmelCase							,					_lowerCAmelCase      )







	def 			_a (	self   :				List[Any]							,					**_lowerCAmelCase   :				Union[str, Any]      )		->			Optional[Any]:
		"""simple docstring"""







		return MgpstrTokenizer.from_pretrained(self.tmpdirname							,					**_lowerCAmelCase      )







	def 			_a (	self   :				Union[str, Any]							,					**_lowerCAmelCase   :				Dict      )		->			List[str]:
		"""simple docstring"""







		return ViTImageProcessor.from_pretrained(self.tmpdirname							,					**_lowerCAmelCase      )







	def 			_a (	self   :				List[str]      )		->			Tuple:
		"""simple docstring"""







		shutil.rmtree(self.tmpdirname      )







	def 			_a (	self   :				Dict      )		->			Optional[Any]:
		"""simple docstring"""







		__lowercase   							=	np.random.randint(255							,					size=(3, 30, 400)							,					dtype=np.uinta      )

		__lowercase   							=	Image.fromarray(np.moveaxis(_lowerCAmelCase							,					0							,					-1      )      )

		return image_input







	def 			_a (	self   :				Optional[int]      )		->			Dict:
		"""simple docstring"""







		__lowercase   							=	self.get_tokenizer()
		__lowercase   							=	self.get_image_processor()

		__lowercase   							=	MgpstrProcessor(tokenizer=_lowerCAmelCase							,					image_processor=_lowerCAmelCase      )
		processor.save_pretrained(self.tmpdirname      )
		__lowercase   							=	MgpstrProcessor.from_pretrained(self.tmpdirname							,					use_fast=_lowerCAmelCase      )

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

		self.assertEqual(processor.image_processor.to_json_string()							,					image_processor.to_json_string()      )
		self.assertIsInstance(processor.image_processor							,					_lowerCAmelCase      )







	def 			_a (	self   :				Optional[int]      )		->			Any:
		"""simple docstring"""







		__lowercase   							=	self.get_tokenizer()
		__lowercase   							=	self.get_image_processor()

		__lowercase   							=	MgpstrProcessor(tokenizer=_lowerCAmelCase							,					image_processor=_lowerCAmelCase      )
		processor.save_pretrained(self.tmpdirname      )

		__lowercase   							=	self.get_tokenizer(bos_token="""(BOS)"""							,					eos_token="""(EOS)"""      )
		__lowercase   							=	self.get_image_processor(do_normalize=_lowerCAmelCase							,					padding_value=1.0      )

		__lowercase   							=	MgpstrProcessor.from_pretrained(
		    self.tmpdirname							,					bos_token="""(BOS)"""							,					eos_token="""(EOS)"""							,					do_normalize=_lowerCAmelCase							,					padding_value=1.0      )

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

		self.assertEqual(processor.image_processor.to_json_string()							,					image_processor_add_kwargs.to_json_string()      )
		self.assertIsInstance(processor.image_processor							,					_lowerCAmelCase      )







	def 			_a (	self   :				Tuple      )		->			str:
		"""simple docstring"""







		__lowercase   							=	self.get_image_processor()
		__lowercase   							=	self.get_tokenizer()

		__lowercase   							=	MgpstrProcessor(tokenizer=_lowerCAmelCase							,					image_processor=_lowerCAmelCase      )

		__lowercase   							=	self.prepare_image_inputs()

		__lowercase   							=	image_processor(_lowerCAmelCase							,					return_tensors="""np"""      )
		__lowercase   							=	processor(images=_lowerCAmelCase							,					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 			_a (	self   :				List[str]      )		->			Optional[Any]:
		"""simple docstring"""







		__lowercase   							=	self.get_image_processor()
		__lowercase   							=	self.get_tokenizer()

		__lowercase   							=	MgpstrProcessor(tokenizer=_lowerCAmelCase							,					image_processor=_lowerCAmelCase      )

		__lowercase   							=	"""test"""

		__lowercase   							=	processor(text=_lowerCAmelCase      )

		__lowercase   							=	tokenizer(_lowerCAmelCase      )
		for key in encoded_tok.keys():
			self.assertListEqual(encoded_tok[key]							,					encoded_processor[key]      )







	def 			_a (	self   :				Optional[Any]      )		->			Union[str, Any]:
		"""simple docstring"""







		__lowercase   							=	self.get_image_processor()
		__lowercase   							=	self.get_tokenizer()

		__lowercase   							=	MgpstrProcessor(tokenizer=_lowerCAmelCase							,					image_processor=_lowerCAmelCase      )

		__lowercase   							=	"""test"""
		__lowercase   							=	self.prepare_image_inputs()

		__lowercase   							=	processor(text=_lowerCAmelCase							,					images=_lowerCAmelCase      )

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

		# test if it raises when no input is passed
		with pytest.raises(_lowerCAmelCase      ):
			processor()







	def 			_a (	self   :				int      )		->			Optional[int]:
		"""simple docstring"""







		__lowercase   							=	self.get_image_processor()
		__lowercase   							=	self.get_tokenizer()

		__lowercase   							=	MgpstrProcessor(tokenizer=_lowerCAmelCase							,					image_processor=_lowerCAmelCase      )

		__lowercase   							=	[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9], [3, 4, 3, 1, 1, 8, 9]]

		__lowercase   							=	processor.char_decode(_lowerCAmelCase      )
		__lowercase   							=	tokenizer.batch_decode(_lowerCAmelCase      )
		__lowercase   							=	[seq.replace(""" """							,					""""""      ) for seq in decoded_tok]

		self.assertListEqual(_lowerCAmelCase							,					_lowerCAmelCase      )







	def 			_a (	self   :				Optional[Any]      )		->			str:
		"""simple docstring"""







		__lowercase   							=	self.get_image_processor()
		__lowercase   							=	self.get_tokenizer()

		__lowercase   							=	MgpstrProcessor(tokenizer=_lowerCAmelCase							,					image_processor=_lowerCAmelCase      )

		__lowercase   							=	None
		__lowercase   							=	self.prepare_image_inputs()

		__lowercase   							=	processor(text=_lowerCAmelCase							,					images=_lowerCAmelCase      )

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







	def 			_a (	self   :				Optional[Any]      )		->			int:
		"""simple docstring"""







		__lowercase   							=	self.get_image_processor()
		__lowercase   							=	self.get_tokenizer()

		__lowercase   							=	MgpstrProcessor(tokenizer=_lowerCAmelCase							,					image_processor=_lowerCAmelCase      )

		__lowercase   							=	torch.randn(1							,					27							,					38      )
		__lowercase   							=	torch.randn(1							,					27							,					5_0257      )
		__lowercase   							=	torch.randn(1							,					27							,					3_0522      )

		__lowercase   							=	processor.batch_decode([char_input, bpe_input, wp_input]      )

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



from collections.abc import Iterable
from typing import Any





class     lowerCamelCase      :







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







				"""simple docstring"""






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







	def __repr__(     self      :Tuple			)		->      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     lowerCamelCase      :







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







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= root







	def __str__(     self      :int			)		->      str:







				"""simple docstring"""






				return str(self.root			)







	def  snake_case__     (     self      :Optional[Any]   ,     lowercase      :Node   ,     lowercase      :Node | None			)		->      None:







				"""simple docstring"""






				if new_children is not None:  # reset its kids
							SCREAMING_SNAKE_CASE     						= node.parent
				if node.parent is not None:  # reset its parent
							if self.is_right(lowercase			):  # If it is the right children
										SCREAMING_SNAKE_CASE     						= new_children
							else:
										SCREAMING_SNAKE_CASE     						= new_children
				else:
							SCREAMING_SNAKE_CASE     						= new_children







	def  snake_case__     (     self      :List[str]   ,     lowercase      :Node			)		->      bool:







				"""simple docstring"""






				if node.parent and node.parent.right:
							return node == node.parent.right
				return False







	def  snake_case__     (     self      :Tuple			)		->      bool:







				"""simple docstring"""






				return self.root is None







	def  snake_case__     (     self      :Union[str, Any]   ,     lowercase      :List[Any]			)		->      None:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= Node(lowercase			)  # create a new Node
				if self.empty():  # if Tree is empty
							SCREAMING_SNAKE_CASE     						= new_node  # set its root
				else:  # Tree is not empty
							SCREAMING_SNAKE_CASE     						= 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:
																SCREAMING_SNAKE_CASE     						= new_node  # We insert the new node in a leaf
																break
													else:
																SCREAMING_SNAKE_CASE     						= parent_node.left
										else:
													if parent_node.right is None:
																SCREAMING_SNAKE_CASE     						= new_node
																break
													else:
																SCREAMING_SNAKE_CASE     						= parent_node.right
							SCREAMING_SNAKE_CASE     						= parent_node







	def  snake_case__     (     self      :Union[str, Any]   ,     *lowercase      :Optional[int]			)		->      None:







				"""simple docstring"""






				for value in values:
							self.__insert(lowercase			)







	def  snake_case__     (     self      :Union[str, Any]   ,     lowercase      :Any			)		->      Node | None:







				"""simple docstring"""






				if self.empty():
							raise IndexError('''Warning: Tree is empty! please use another.'''			)
				else:
							SCREAMING_SNAKE_CASE     						= self.root
							# use lazy evaluation here to avoid NoneType Attribute error
							while node is not None and node.value is not value:
										SCREAMING_SNAKE_CASE     						= node.left if value < node.value else node.right
							return node







	def  snake_case__     (     self      :str   ,     lowercase      :Node | None = None			)		->      Node | None:







				"""simple docstring"""






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

				if not self.empty():
							while node.right is not None:
										SCREAMING_SNAKE_CASE     						= node.right
				return node







	def  snake_case__     (     self      :int   ,     lowercase      :Node | None = None			)		->      Node | None:







				"""simple docstring"""






				if node is None:
							SCREAMING_SNAKE_CASE     						= self.root
				if self.root is None:
							return None
				if not self.empty():
							SCREAMING_SNAKE_CASE     						= self.root
							while node.left is not None:
										SCREAMING_SNAKE_CASE     						= node.left
				return node







	def  snake_case__     (     self      :Optional[int]   ,     lowercase      :int			)		->      None:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= self.search(lowercase			)  # 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(lowercase   ,     lowercase			)
							elif node.left is None:  # Has only right children
										self.__reassign_nodes(lowercase   ,     node.right			)
							elif node.right is None:  # Has only left children
										self.__reassign_nodes(lowercase   ,     node.left			)
							else:
										SCREAMING_SNAKE_CASE     						= self.get_max(
										    node.left			)  # Gets the max value of the left branch
										self.remove(tmp_node.value			)  # type: ignore
										SCREAMING_SNAKE_CASE     						= (
										    tmp_node.value  # type: ignore
										)  # Assigns the value to the node to delete and keep tree structure







	def  snake_case__     (     self      :Dict   ,     lowercase      :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  snake_case__     (     self      :Tuple   ,     lowercase      :List[str]=None			)		->      Any:







				"""simple docstring"""






				if traversal_function is None:
							return self.preorder_traverse(self.root			)
				else:
							return traversal_function(self.root			)







	def  snake_case__     (     self      :Optional[Any]   ,     lowercase      :list   ,     lowercase      :Node | None			)		->      None:







				"""simple docstring"""






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







	def  snake_case__     (     self      :Tuple   ,     lowercase      :int   ,     lowercase      :Node			)		->      int:







				"""simple docstring"""






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



def    a      ( a	)     ->list[Node]:




			'''simple docstring'''


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


def    a      ( )     ->None:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE     						= (8, 3, 6, 1, 10, 14, 13, 4, 7)
			SCREAMING_SNAKE_CASE     						= 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)