



"""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, BlipaProcessor, BlipImageProcessor, GPTaTokenizer, PreTrainedTokenizerFast
@require_vision
class        __A       (	unittest.TestCase    ):







		'''simple docstring'''





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






				"""simple docstring"""



				lowercase__   :    List[Any]				=			tempfile.mkdtemp()

				lowercase__   :    List[Any]				=			BlipImageProcessor()
				lowercase__   :    List[str]				=			GPTaTokenizer.from_pretrained('''hf-internal-testing/tiny-random-GPT2Model'''						)

				lowercase__   :    int				=			BlipaProcessor(_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE						)

				processor.save_pretrained(self.tmpdirname						)







		def 					UpperCAmelCase    (	self						:  List[str]			,**_snake_case						:  Any						)					->		Tuple:






				"""simple docstring"""



				return AutoProcessor.from_pretrained(self.tmpdirname			,**_SCREAMING_SNAKE_CASE						).tokenizer







		def 					UpperCAmelCase    (	self						:  Optional[Any]			,**_snake_case						:  Dict						)					->		str:






				"""simple docstring"""



				return AutoProcessor.from_pretrained(self.tmpdirname			,**_SCREAMING_SNAKE_CASE						).image_processor







		def 					UpperCAmelCase    (	self						:  Union[str, Any]						)					->		List[str]:






				"""simple docstring"""



				shutil.rmtree(self.tmpdirname						)







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






				"""simple docstring"""



				lowercase__   :    Any				=			[np.random.randint(255			,size=(3, 30, 400)			,dtype=np.uinta						)]

				lowercase__   :    Optional[int]				=			[Image.fromarray(np.moveaxis(_SCREAMING_SNAKE_CASE			,0			,-1						)						) for x in image_inputs]

				return image_inputs







		def 					UpperCAmelCase    (	self						:  Dict						)					->		int:






				"""simple docstring"""



				lowercase__   :    Tuple				=			BlipaProcessor(tokenizer=self.get_tokenizer()			,image_processor=self.get_image_processor()						)
				processor.save_pretrained(self.tmpdirname						)

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

				lowercase__   :    List[str]				=			BlipaProcessor.from_pretrained(
				    self.tmpdirname			,bos_token='''(BOS)'''			,eos_token='''(EOS)'''			,do_normalize=_SCREAMING_SNAKE_CASE			,padding_value=1.0						)

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

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







		def 					UpperCAmelCase    (	self						:  Union[str, Any]						)					->		Dict:






				"""simple docstring"""



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

				lowercase__   :    int				=			BlipaProcessor(tokenizer=_SCREAMING_SNAKE_CASE			,image_processor=_SCREAMING_SNAKE_CASE						)

				lowercase__   :    Optional[int]				=			self.prepare_image_inputs()

				lowercase__   :    Optional[int]				=			image_processor(_SCREAMING_SNAKE_CASE			,return_tensors='''np'''						)
				lowercase__   :    int				=			processor(images=_SCREAMING_SNAKE_CASE			,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 					UpperCAmelCase    (	self						:  Union[str, Any]						)					->		Optional[int]:






				"""simple docstring"""



				lowercase__   :    Dict				=			self.get_image_processor()
				lowercase__   :    int				=			self.get_tokenizer()

				lowercase__   :    int				=			BlipaProcessor(tokenizer=_SCREAMING_SNAKE_CASE			,image_processor=_SCREAMING_SNAKE_CASE						)

				lowercase__   :    List[Any]				=			'''lower newer'''

				lowercase__   :    Union[str, Any]				=			processor(text=_SCREAMING_SNAKE_CASE						)

				lowercase__   :    List[Any]				=			tokenizer(_SCREAMING_SNAKE_CASE			,return_token_type_ids=_SCREAMING_SNAKE_CASE						)

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







		def 					UpperCAmelCase    (	self						:  Union[str, Any]						)					->		List[Any]:






				"""simple docstring"""



				lowercase__   :    Dict				=			self.get_image_processor()
				lowercase__   :    Dict				=			self.get_tokenizer()

				lowercase__   :    Dict				=			BlipaProcessor(tokenizer=_SCREAMING_SNAKE_CASE			,image_processor=_SCREAMING_SNAKE_CASE						)

				lowercase__   :    str				=			'''lower newer'''
				lowercase__   :    List[Any]				=			self.prepare_image_inputs()

				lowercase__   :    Optional[Any]				=			processor(text=_SCREAMING_SNAKE_CASE			,images=_SCREAMING_SNAKE_CASE						)

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

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







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






				"""simple docstring"""



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

				lowercase__   :    Optional[int]				=			BlipaProcessor(tokenizer=_SCREAMING_SNAKE_CASE			,image_processor=_SCREAMING_SNAKE_CASE						)

				lowercase__   :    List[str]				=			[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

				lowercase__   :    int				=			processor.batch_decode(_SCREAMING_SNAKE_CASE						)
				lowercase__   :    List[str]				=			tokenizer.batch_decode(_SCREAMING_SNAKE_CASE						)

				self.assertListEqual(_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE						)







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






				"""simple docstring"""



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

				lowercase__   :    Optional[Any]				=			BlipaProcessor(tokenizer=_SCREAMING_SNAKE_CASE			,image_processor=_SCREAMING_SNAKE_CASE						)

				lowercase__   :    List[Any]				=			'''lower newer'''
				lowercase__   :    Dict				=			self.prepare_image_inputs()

				lowercase__   :    Dict				=			processor(text=_SCREAMING_SNAKE_CASE			,images=_SCREAMING_SNAKE_CASE						)

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




def   _SCREAMING_SNAKE_CASE	( SCREAMING_SNAKE_CASE       ):
  if not nums:  # Makes sure that the list is not empty
    raise ValueError('''List is empty'''       )

  A_      :				Optional[int]		     =					sum(SCREAMING_SNAKE_CASE       ) / len(SCREAMING_SNAKE_CASE       )  # Calculate the average
  return sum(abs(x - average       ) for x in nums       ) / len(SCREAMING_SNAKE_CASE       )


if __name__ == "__main__":
     import doctest

     doctest.testmod()




