
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, BlipImageProcessor, BlipProcessor, PreTrainedTokenizerFast







@require_vision
class lowerCAmelCase_						(			unittest.TestCase	):

 '''simple docstring'''

 def 						UpperCamelCase__					(     self ):
       snake_case_	=				tempfile.mkdtemp()

       snake_case_	=				BlipImageProcessor()
       snake_case_	=				BertTokenizer.from_pretrained('''hf-internal-testing/tiny-random-BertModel''' )

       snake_case_	=				BlipProcessor(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE )

       processor.save_pretrained(self.tmpdirname )



 def 						UpperCamelCase__					(     self		,				**_UpperCAmelCase ):
       return AutoProcessor.from_pretrained(self.tmpdirname		,				**_SCREAMING_SNAKE_CASE ).tokenizer



 def 						UpperCamelCase__					(     self		,				**_UpperCAmelCase ):
       return AutoProcessor.from_pretrained(self.tmpdirname		,				**_SCREAMING_SNAKE_CASE ).image_processor



 def 						UpperCamelCase__					(     self ):
       shutil.rmtree(self.tmpdirname )



 def 						UpperCamelCase__					(     self ):
       snake_case_	=				[np.random.randint(2_55		,				size=(3, 30, 4_00)		,				dtype=np.uinta )]

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

       return image_inputs



 def 						UpperCamelCase__					(     self ):
       snake_case_	=				BlipProcessor(tokenizer=self.get_tokenizer()		,				image_processor=self.get_image_processor() )
       processor.save_pretrained(self.tmpdirname )

       snake_case_	=				self.get_tokenizer(bos_token='''(BOS)'''		,				eos_token='''(EOS)''' )
       snake_case_	=				self.get_image_processor(do_normalize=_SCREAMING_SNAKE_CASE		,				padding_value=1.0 )

       snake_case_	=				BlipProcessor.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 ):
       snake_case_	=				self.get_image_processor()
       snake_case_	=				self.get_tokenizer()

       snake_case_	=				BlipProcessor(tokenizer=_SCREAMING_SNAKE_CASE		,				image_processor=_SCREAMING_SNAKE_CASE )

       snake_case_	=				self.prepare_image_inputs()

       snake_case_	=				image_processor(_SCREAMING_SNAKE_CASE		,				return_tensors='''np''' )
       snake_case_	=				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 ):
       snake_case_	=				self.get_image_processor()
       snake_case_	=				self.get_tokenizer()

       snake_case_	=				BlipProcessor(tokenizer=_SCREAMING_SNAKE_CASE		,				image_processor=_SCREAMING_SNAKE_CASE )

       snake_case_	=				'''lower newer'''

       snake_case_	=				processor(text=_SCREAMING_SNAKE_CASE )

       snake_case_	=				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 ):
       snake_case_	=				self.get_image_processor()
       snake_case_	=				self.get_tokenizer()

       snake_case_	=				BlipProcessor(tokenizer=_SCREAMING_SNAKE_CASE		,				image_processor=_SCREAMING_SNAKE_CASE )

       snake_case_	=				'''lower newer'''
       snake_case_	=				self.prepare_image_inputs()

       snake_case_	=				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 ):
       snake_case_	=				self.get_image_processor()
       snake_case_	=				self.get_tokenizer()

       snake_case_	=				BlipProcessor(tokenizer=_SCREAMING_SNAKE_CASE		,				image_processor=_SCREAMING_SNAKE_CASE )

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

       snake_case_	=				processor.batch_decode(_SCREAMING_SNAKE_CASE )
       snake_case_	=				tokenizer.batch_decode(_SCREAMING_SNAKE_CASE )

       self.assertListEqual(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE )





 def 						UpperCamelCase__					(     self ):
       snake_case_	=				self.get_image_processor()
       snake_case_	=				self.get_tokenizer()

       snake_case_	=				BlipProcessor(tokenizer=_SCREAMING_SNAKE_CASE		,				image_processor=_SCREAMING_SNAKE_CASE )

       snake_case_	=				'''lower newer'''
       snake_case_	=				self.prepare_image_inputs()

       snake_case_	=				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'''] )



import os






def 	__lowerCAmelCase   ()->  List[Any]:




      """simple docstring"""

      snake_case_	=				os.path.join(os.path.dirname(SCREAMING_SNAKE_CASE ) , '''num.txt''' )
      with open(SCREAMING_SNAKE_CASE ) as file_hand:
            return str(sum(int(SCREAMING_SNAKE_CASE ) for line in file_hand ) )[:10]


if __name__ == "__main__":
   print(solution())