
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
				from PIL import Image

				from transformers import AutoProcessor, BertTokenizer, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast







@require_vision
class 							UpperCAmelCase	(   unittest.TestCase					):

					def        _lowerCAmelCase	(			self      :					int					):
											lowercase       :    Dict											=  tempfile.mkdtemp()

											lowercase       :    Union[str, Any]											=  CLIPImageProcessor()
											lowercase       :    Any											=  BertTokenizer.from_pretrained(
											    '''hf-internal-testing/tiny-random-BertModel''' ,      model_input_names=['''input_ids''', '''attention_mask''']					)

											lowercase       :    int											=  GitProcessor(lowerCAmelCase ,      lowerCAmelCase					)

											processor.save_pretrained(self.tmpdirname					)

					def        _lowerCAmelCase	(			self      :					int ,      **lowerCAmelCase      :					List[Any]					):
											return AutoProcessor.from_pretrained(self.tmpdirname ,      **lowerCAmelCase					).tokenizer

					def        _lowerCAmelCase	(			self      :					str ,      **lowerCAmelCase      :					int					):
											return AutoProcessor.from_pretrained(self.tmpdirname ,      **lowerCAmelCase					).image_processor

					def        _lowerCAmelCase	(			self      :					Dict					):
											shutil.rmtree(self.tmpdirname					)

					def        _lowerCAmelCase	(			self      :					Dict					):
											lowercase       :    int											=  [np.random.randint(255 ,      size=(3, 30, 400) ,      dtype=np.uinta					)]

											lowercase       :    List[str]											=  [Image.fromarray(np.moveaxis(lowerCAmelCase ,      0 ,      -1					)					) for x in image_inputs]

											return image_inputs

					def        _lowerCAmelCase	(			self      :					Tuple					):
											lowercase       :    Any											=  GitProcessor(tokenizer=self.get_tokenizer() ,      image_processor=self.get_image_processor()					)
											processor.save_pretrained(self.tmpdirname					)

											lowercase       :    Optional[Any]											=  self.get_tokenizer(bos_token='''(BOS)''' ,      eos_token='''(EOS)'''					)
											lowercase       :    Union[str, Any]											=  self.get_image_processor(do_normalize=lowerCAmelCase ,      padding_value=1.0					)

											lowercase       :    List[str]											=  GitProcessor.from_pretrained(
											    self.tmpdirname ,      bos_token='''(BOS)''' ,      eos_token='''(EOS)''' ,      do_normalize=lowerCAmelCase ,      padding_value=1.0					)

											self.assertEqual(processor.tokenizer.get_vocab() ,      tokenizer_add_kwargs.get_vocab()					)
											self.assertIsInstance(processor.tokenizer ,      lowerCAmelCase					)

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

					def        _lowerCAmelCase	(			self      :					List[str]					):
											lowercase       :    int											=  self.get_image_processor()
											lowercase       :    Tuple											=  self.get_tokenizer()

											lowercase       :    List[Any]											=  GitProcessor(tokenizer=lowerCAmelCase ,      image_processor=lowerCAmelCase					)

											lowercase       :    int											=  self.prepare_image_inputs()

											lowercase       :    Dict											=  image_processor(lowerCAmelCase ,      return_tensors='''np'''					)
											lowercase       :    Tuple											=  processor(images=lowerCAmelCase ,      return_tensors='''np'''					)

											for key in input_feat_extract.keys():
																	self.assertAlmostEqual(input_feat_extract[key].sum() ,      input_processor[key].sum() ,      delta=1E-2					)

					def        _lowerCAmelCase	(			self      :					Optional[int]					):
											lowercase       :    Optional[Any]											=  self.get_image_processor()
											lowercase       :    str											=  self.get_tokenizer()

											lowercase       :    Any											=  GitProcessor(tokenizer=lowerCAmelCase ,      image_processor=lowerCAmelCase					)

											lowercase       :    Optional[Any]											=  '''lower newer'''

											lowercase       :    int											=  processor(text=lowerCAmelCase					)

											lowercase       :    Tuple											=  tokenizer(lowerCAmelCase ,      return_token_type_ids=lowerCAmelCase					)

											for key in encoded_tok.keys():
																	self.assertListEqual(encoded_tok[key] ,      encoded_processor[key]					)

					def        _lowerCAmelCase	(			self      :					Optional[int]					):
											lowercase       :    Optional[Any]											=  self.get_image_processor()
											lowercase       :    Tuple											=  self.get_tokenizer()

											lowercase       :    Optional[int]											=  GitProcessor(tokenizer=lowerCAmelCase ,      image_processor=lowerCAmelCase					)

											lowercase       :    Optional[Any]											=  '''lower newer'''
											lowercase       :    Dict											=  self.prepare_image_inputs()

											lowercase       :    str											=  processor(text=lowerCAmelCase ,      images=lowerCAmelCase					)

											self.assertListEqual(list(inputs.keys()					) ,      ['''input_ids''', '''attention_mask''', '''pixel_values''']					)

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

					def        _lowerCAmelCase	(			self      :					Any					):
											lowercase       :    int											=  self.get_image_processor()
											lowercase       :    List[str]											=  self.get_tokenizer()

											lowercase       :    Union[str, Any]											=  GitProcessor(tokenizer=lowerCAmelCase ,      image_processor=lowerCAmelCase					)

											lowercase       :    Dict											=  [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

											lowercase       :    Union[str, Any]											=  processor.batch_decode(lowerCAmelCase					)
											lowercase       :    Tuple											=  tokenizer.batch_decode(lowerCAmelCase					)

											self.assertListEqual(lowerCAmelCase ,      lowerCAmelCase					)




					def        _lowerCAmelCase	(			self      :					Tuple					):
											lowercase       :    Tuple											=  self.get_image_processor()
											lowercase       :    List[Any]											=  self.get_tokenizer()

											lowercase       :    Union[str, Any]											=  GitProcessor(tokenizer=lowerCAmelCase ,      image_processor=lowerCAmelCase					)

											lowercase       :    List[Any]											=  '''lower newer'''
											lowercase       :    Optional[int]											=  self.prepare_image_inputs()

											lowercase       :    Any											=  processor(text=lowerCAmelCase ,      images=lowerCAmelCase					)

											# For now the processor supports only ['input_ids', 'attention_mask', 'pixel_values']
											self.assertListEqual(list(inputs.keys()					) ,      ['''input_ids''', '''attention_mask''', '''pixel_values''']					)




class 							UpperCAmelCase	:

					def __init__(			self      :					Any ,      lowerCAmelCase      :					int					):
											lowercase       :    Tuple											=  data
											lowercase       :    BinaryTreeNode | None											=  None
											lowercase       :    BinaryTreeNode | None											=  None





def        lowerCamelCase_      (			UpperCAmelCase_							:				BinaryTreeNode | None							,			UpperCAmelCase_							:				int       ):
						if node is None:
												lowercase       :    Union[str, Any]											=  BinaryTreeNode(UpperCAmelCase_       )
												return node

						# binary search tree is not empty,
						# so we will insert it into the tree
						# if new_value is less than value of data in node,
						#  add it to left subtree and proceed recursively
						if new_value < node.data:
												lowercase       :    List[Any]											=  insert(node.left_child							,			UpperCAmelCase_       )
						else:
												# if new_value is greater than value of data in node,
												#  add it to right subtree and proceed recursively
												lowercase       :    Dict											=  insert(node.right_child							,			UpperCAmelCase_       )
						return node

def        lowerCamelCase_      (			UpperCAmelCase_							:				None | BinaryTreeNode       ):  # if node is None,return
						if node:
												lowercase       :    Optional[Any]											=  inorder(node.left_child       )
												lowercase       :    Tuple											=  [*inorder_array, node.data]
												lowercase       :    Optional[Any]											=  inorder_array + inorder(node.right_child       )
						else:
												lowercase       :    Optional[int]											=  []
						return inorder_array

def        lowerCamelCase_      (			):
						lowercase       :    Any											=  insert(UpperCAmelCase_							,			15       )
						insert(UpperCAmelCase_							,			10       )
						insert(UpperCAmelCase_							,			25       )
						insert(UpperCAmelCase_							,			6       )
						insert(UpperCAmelCase_							,			14       )
						insert(UpperCAmelCase_							,			20       )
						insert(UpperCAmelCase_							,			60       )
						return root

def        lowerCamelCase_      (			):
						# main function
						lowercase       :    Any											=  make_tree()
						print('''Printing values of binary search tree in Inorder Traversal.'''       )
						inorder(UpperCAmelCase_       )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()


