
"""simple docstring"""


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 	lowerCamelCase__      (      unittest.TestCase       ):





			'''simple docstring'''



			def       _lowerCAmelCase	(							self						)				->  Optional[Any]:
				_lowerCAmelCase			=tempfile.mkdtemp()

				_lowerCAmelCase			=CLIPImageProcessor()
				_lowerCAmelCase			=BertTokenizer.from_pretrained(
				    """hf-internal-testing/tiny-random-BertModel"""  ,  model_input_names=["""input_ids""", """attention_mask"""]						)

				_lowerCAmelCase			=GitProcessor(__UpperCAmelCase  ,  __UpperCAmelCase						)

				processor.save_pretrained(self.tmpdirname						)



			def       _lowerCAmelCase	(							self  ,  **__UpperCAmelCase						)				->  Tuple:
				return AutoProcessor.from_pretrained(self.tmpdirname  ,  **__UpperCAmelCase						).tokenizer



			def       _lowerCAmelCase	(							self  ,  **__UpperCAmelCase						)				->  Tuple:
				return AutoProcessor.from_pretrained(self.tmpdirname  ,  **__UpperCAmelCase						).image_processor



			def       _lowerCAmelCase	(							self						)				->  Any:
				shutil.rmtree(self.tmpdirname						)



			def       _lowerCAmelCase	(							self						)				->  str:
				_lowerCAmelCase			=[np.random.randint(2_55  ,  size=(3, 30, 4_00)  ,  dtype=np.uinta						)]

				_lowerCAmelCase			=[Image.fromarray(np.moveaxis(__UpperCAmelCase  ,  0  ,  -1						)						) for x in image_inputs]

				return image_inputs



			def       _lowerCAmelCase	(							self						)				->  int:
				_lowerCAmelCase			=GitProcessor(tokenizer=self.get_tokenizer()  ,  image_processor=self.get_image_processor()						)
				processor.save_pretrained(self.tmpdirname						)

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

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

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

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



			def       _lowerCAmelCase	(							self						)				->  Any:
				_lowerCAmelCase			=self.get_image_processor()
				_lowerCAmelCase			=self.get_tokenizer()

				_lowerCAmelCase			=GitProcessor(tokenizer=__UpperCAmelCase  ,  image_processor=__UpperCAmelCase						)

				_lowerCAmelCase			=self.prepare_image_inputs()

				_lowerCAmelCase			=image_processor(__UpperCAmelCase  ,  return_tensors="""np"""						)
				_lowerCAmelCase			=processor(images=__UpperCAmelCase  ,  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						)				->  Union[str, Any]:
				_lowerCAmelCase			=self.get_image_processor()
				_lowerCAmelCase			=self.get_tokenizer()

				_lowerCAmelCase			=GitProcessor(tokenizer=__UpperCAmelCase  ,  image_processor=__UpperCAmelCase						)

				_lowerCAmelCase			="""lower newer"""

				_lowerCAmelCase			=processor(text=__UpperCAmelCase						)

				_lowerCAmelCase			=tokenizer(__UpperCAmelCase  ,  return_token_type_ids=__UpperCAmelCase						)

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



			def       _lowerCAmelCase	(							self						)				->  List[Any]:
				_lowerCAmelCase			=self.get_image_processor()
				_lowerCAmelCase			=self.get_tokenizer()

				_lowerCAmelCase			=GitProcessor(tokenizer=__UpperCAmelCase  ,  image_processor=__UpperCAmelCase						)

				_lowerCAmelCase			="""lower newer"""
				_lowerCAmelCase			=self.prepare_image_inputs()

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

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

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



			def       _lowerCAmelCase	(							self						)				->  Tuple:
				_lowerCAmelCase			=self.get_image_processor()
				_lowerCAmelCase			=self.get_tokenizer()

				_lowerCAmelCase			=GitProcessor(tokenizer=__UpperCAmelCase  ,  image_processor=__UpperCAmelCase						)

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

				_lowerCAmelCase			=processor.batch_decode(__UpperCAmelCase						)
				_lowerCAmelCase			=tokenizer.batch_decode(__UpperCAmelCase						)

				self.assertListEqual(__UpperCAmelCase  ,  __UpperCAmelCase						)



			def       _lowerCAmelCase	(							self						)				->  Tuple:
				_lowerCAmelCase			=self.get_image_processor()
				_lowerCAmelCase			=self.get_tokenizer()

				_lowerCAmelCase			=GitProcessor(tokenizer=__UpperCAmelCase  ,  image_processor=__UpperCAmelCase						)

				_lowerCAmelCase			="""lower newer"""
				_lowerCAmelCase			=self.prepare_image_inputs()

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

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





"""simple docstring"""


class 	lowerCamelCase__      :





			'''simple docstring'''



			def __init__(							self  ,  __UpperCAmelCase=None						)				->  List[Any]:
				_lowerCAmelCase			=data
				_lowerCAmelCase			=None



			def __repr__(							self						)				->  int:
				_lowerCAmelCase			=""""""
				_lowerCAmelCase			=self
				while temp:
					string_rep += f'''<{temp.data}> ---> '''
					_lowerCAmelCase			=temp.next
				string_rep += "<END>"
				return string_rep







def 					_lowerCamelCase(__UpperCamelCase )       ->				str:

	# if elements_list is empty
	if not elements_list:
		raise Exception("""The Elements List is empty""" )

	# Set first element as Head
	_lowerCAmelCase			=Node(elements_list[0] )
	_lowerCAmelCase			=head
	# Loop through elements from position 1
	for data in elements_list[1:]:
		_lowerCAmelCase			=Node(__UpperCamelCase )
		_lowerCAmelCase			=current.next
	return head


__A 		= [1, 3, 5, 32, 44, 12, 43]
print(F"""List: {list_data}""")
print('Creating Linked List from List.')
__A 		= make_linked_list(list_data)
print('Linked List:')

print(linked_list)



