


from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType




class    UpperCAmelCase					(       __snake_case    ):
			lowercase						= ["""image_processor""", """tokenizer"""]
			lowercase						= """BlipImageProcessor"""
			lowercase						= ("""BertTokenizer""", """BertTokenizerFast""")




			def __init__(						self							:		List[str]       ,       __magic_name__							:		Union[str, Any]       ,       __magic_name__							:		str						):







						"""simple docstring"""







						UpperCamelCase         =					False
						super().__init__(__magic_name__       ,       __magic_name__						)
						UpperCamelCase         =					self.image_processor




			def __call__(						self							:		str       ,       __magic_name__							:		ImageInput = None       ,       __magic_name__							:		Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None       ,       __magic_name__							:		bool = True       ,       __magic_name__							:		Union[bool, str, PaddingStrategy] = False       ,       __magic_name__							:		Union[bool, str, TruncationStrategy] = None       ,       __magic_name__							:		Optional[int] = None       ,       __magic_name__							:		int = 0       ,       __magic_name__							:		Optional[int] = None       ,       __magic_name__							:		Optional[bool] = None       ,       __magic_name__							:		bool = False       ,       __magic_name__							:		bool = False       ,       __magic_name__							:		bool = False       ,       __magic_name__							:		bool = False       ,       __magic_name__							:		bool = False       ,       __magic_name__							:		bool = True       ,       __magic_name__							:		Optional[Union[str, TensorType]] = None       ,       **__magic_name__							:		Dict       ,       ):







						"""simple docstring"""







						if images is None and text is None:
									raise ValueError("""You have to specify either images or text."""						)

						# Get only text
						if images is None:
									UpperCamelCase         =					self.tokenizer
									UpperCamelCase         =					self.tokenizer(
									    text=__magic_name__       ,       add_special_tokens=__magic_name__       ,       padding=__magic_name__       ,       truncation=__magic_name__       ,       max_length=__magic_name__       ,       stride=__magic_name__       ,       pad_to_multiple_of=__magic_name__       ,       return_attention_mask=__magic_name__       ,       return_overflowing_tokens=__magic_name__       ,       return_special_tokens_mask=__magic_name__       ,       return_offsets_mapping=__magic_name__       ,       return_token_type_ids=__magic_name__       ,       return_length=__magic_name__       ,       verbose=__magic_name__       ,       return_tensors=__magic_name__       ,       **__magic_name__       ,       )
									return text_encoding

						# add pixel_values
						UpperCamelCase         =					self.image_processor(__magic_name__       ,       return_tensors=__magic_name__						)

						if text is not None:
									UpperCamelCase         =					self.tokenizer(
									    text=__magic_name__       ,       add_special_tokens=__magic_name__       ,       padding=__magic_name__       ,       truncation=__magic_name__       ,       max_length=__magic_name__       ,       stride=__magic_name__       ,       pad_to_multiple_of=__magic_name__       ,       return_attention_mask=__magic_name__       ,       return_overflowing_tokens=__magic_name__       ,       return_special_tokens_mask=__magic_name__       ,       return_offsets_mapping=__magic_name__       ,       return_token_type_ids=__magic_name__       ,       return_length=__magic_name__       ,       verbose=__magic_name__       ,       return_tensors=__magic_name__       ,       **__magic_name__       ,       )
						else:
									UpperCamelCase         =					None

						if text_encoding is not None:
									encoding_image_processor.update(__magic_name__						)

						return encoding_image_processor




			def   lowerCamelCase_					(						self							:		Tuple       ,       *__magic_name__							:		List[Any]       ,       **__magic_name__							:		List[str]						):







						"""simple docstring"""







						return self.tokenizer.batch_decode(*__magic_name__       ,       **__magic_name__						)




			def   lowerCamelCase_					(						self							:		Tuple       ,       *__magic_name__							:		Any       ,       **__magic_name__							:		Optional[int]						):







						"""simple docstring"""







						return self.tokenizer.decode(*__magic_name__       ,       **__magic_name__						)





			@property
			def   lowerCamelCase_					(						self							:		int						):







						"""simple docstring"""







						UpperCamelCase         =					self.tokenizer.model_input_names
						UpperCamelCase         =					self.image_processor.model_input_names
						return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names						)						)



import math
import unittest






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int	):





			"""simple docstring"""




			assert isinstance(SCREAMING_SNAKE_CASE_       ,  SCREAMING_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(SCREAMING_SNAKE_CASE_	) + 1	)       ,  6	):
						if number % i == 0 or number % (i + 2) == 0:
									return False
			return True




class    UpperCAmelCase					(       unittest.TestCase    ):




			def   lowerCamelCase_					(						self							:		Any						):







						"""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(1_1						)						)
						self.assertTrue(is_prime(1_3						)						)
						self.assertTrue(is_prime(1_7						)						)
						self.assertTrue(is_prime(1_9						)						)
						self.assertTrue(is_prime(2_3						)						)
						self.assertTrue(is_prime(2_9						)						)





			def   lowerCamelCase_					(						self							:		Dict						):







						"""simple docstring"""







						with self.assertRaises(__magic_name__						):
									is_prime(-1_9						)
						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()




