


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):





     def      __A					(self       )     ->   Dict:
      _lowercase							      =tempfile.mkdtemp()

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

      _lowercase							      =BlipProcessor(SCREAMING_SNAKE_CASE__		,     SCREAMING_SNAKE_CASE__       )

      processor.save_pretrained(self.tmpdirname       )





     def      __A					(self		,     **UpperCAmelCase       )     ->   List[str]:
      return AutoProcessor.from_pretrained(self.tmpdirname		,     **SCREAMING_SNAKE_CASE__       ).tokenizer





     def      __A					(self		,     **UpperCAmelCase       )     ->   Union[str, Any]:
      return AutoProcessor.from_pretrained(self.tmpdirname		,     **SCREAMING_SNAKE_CASE__       ).image_processor





     def      __A					(self       )     ->   Optional[int]:
      shutil.rmtree(self.tmpdirname       )





     def      __A					(self       )     ->   List[str]:
      _lowercase							      =[np.random.randint(2_5_5		,     size=(3, 3_0, 4_0_0)		,     dtype=np.uinta       )]

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

      return image_inputs





     def      __A					(self       )     ->   str:
      _lowercase							      =BlipProcessor(tokenizer=self.get_tokenizer()		,     image_processor=self.get_image_processor()       )
      processor.save_pretrained(self.tmpdirname       )

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

      _lowercase							      =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      __A					(self       )     ->   Optional[Any]:
      _lowercase							      =self.get_image_processor()
      _lowercase							      =self.get_tokenizer()

      _lowercase							      =BlipProcessor(tokenizer=SCREAMING_SNAKE_CASE__		,     image_processor=SCREAMING_SNAKE_CASE__       )

      _lowercase							      =self.prepare_image_inputs()

      _lowercase							      =image_processor(SCREAMING_SNAKE_CASE__		,     return_tensors='''np'''       )
      _lowercase							      =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      __A					(self       )     ->   Union[str, Any]:
      _lowercase							      =self.get_image_processor()
      _lowercase							      =self.get_tokenizer()

      _lowercase							      =BlipProcessor(tokenizer=SCREAMING_SNAKE_CASE__		,     image_processor=SCREAMING_SNAKE_CASE__       )

      _lowercase							      ="""lower newer"""

      _lowercase							      =processor(text=SCREAMING_SNAKE_CASE__       )

      _lowercase							      =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      __A					(self       )     ->   Optional[int]:
      _lowercase							      =self.get_image_processor()
      _lowercase							      =self.get_tokenizer()

      _lowercase							      =BlipProcessor(tokenizer=SCREAMING_SNAKE_CASE__		,     image_processor=SCREAMING_SNAKE_CASE__       )

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

      _lowercase							      =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      __A					(self       )     ->   int:
      _lowercase							      =self.get_image_processor()
      _lowercase							      =self.get_tokenizer()

      _lowercase							      =BlipProcessor(tokenizer=SCREAMING_SNAKE_CASE__		,     image_processor=SCREAMING_SNAKE_CASE__       )

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

      _lowercase							      =processor.batch_decode(SCREAMING_SNAKE_CASE__       )
      _lowercase							      =tokenizer.batch_decode(SCREAMING_SNAKE_CASE__       )

      self.assertListEqual(SCREAMING_SNAKE_CASE__		,     SCREAMING_SNAKE_CASE__       )





     def      __A					(self       )     ->   Dict:
      _lowercase							      =self.get_image_processor()
      _lowercase							      =self.get_tokenizer()

      _lowercase							      =BlipProcessor(tokenizer=SCREAMING_SNAKE_CASE__		,     image_processor=SCREAMING_SNAKE_CASE__       )

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

      _lowercase							      =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''']       )



"""simple docstring"""




import math
import unittest

def lowercase_  (   _snake_case						):
							assert isinstance(_snake_case   ,_snake_case						) and (
							    number >= 0
							), "'number' must been an int and positive"

							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5   ,int(math.sqrt(_snake_case						) + 1						)   ,6						):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True



class 	lowerCAmelCase_						(unittest.TestCase  ):


				"""simple docstring"""



				def 	__magic_name__    (self    )					->		Dict:



											"""simple docstring"""




											self.assertTrue(is_prime(2    )    )
											self.assertTrue(is_prime(3    )    )
											self.assertTrue(is_prime(5    )    )
											self.assertTrue(is_prime(7    )    )
											self.assertTrue(is_prime(11    )    )
											self.assertTrue(is_prime(13    )    )
											self.assertTrue(is_prime(17    )    )
											self.assertTrue(is_prime(19    )    )
											self.assertTrue(is_prime(23    )    )
											self.assertTrue(is_prime(29    )    )



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



											"""simple docstring"""




											with self.assertRaises(SCREAMING_SNAKE_CASE__    ):
																		is_prime(-19    )
											self.assertFalse(
											    is_prime(0    )   ,       """Zero doesn't have any positive factors, primes must have exactly two."""   ,       )
											self.assertFalse(
											    is_prime(1    )   ,       """One only has 1 positive factor, primes must have exactly two."""   ,       )
											self.assertFalse(is_prime(2 * 2    )    )
											self.assertFalse(is_prime(2 * 3    )    )
											self.assertFalse(is_prime(3 * 3    )    )
											self.assertFalse(is_prime(3 * 5    )    )
											self.assertFalse(is_prime(3 * 5 * 7    )    )


if __name__ == "__main__":
					unittest.main()




