

"""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, BlipImageProcessor, BlipProcessor, PreTrainedTokenizerFast




@require_vision
class 					_lowerCAmelCase  (	unittest.TestCase   ):







 """simple docstring"""







 def 					_lowercase (			self							:			Union[str, Any]	):
    __lowercase								=						tempfile.mkdtemp()

    __lowercase								=						BlipImageProcessor()
    __lowercase								=						BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-BertModel"	)

    __lowercase								=						BlipProcessor(UpperCAmelCase__,					UpperCAmelCase__	)

    processor.save_pretrained(self.tmpdirname	)


 def 					_lowercase (			self							:			Tuple,					**UpperCAmelCase__							:			Any	):
    return AutoProcessor.from_pretrained(self.tmpdirname,					**UpperCAmelCase__	).tokenizer


 def 					_lowercase (			self							:			List[str],					**UpperCAmelCase__							:			Tuple	):
    return AutoProcessor.from_pretrained(self.tmpdirname,					**UpperCAmelCase__	).image_processor


 def 					_lowercase (			self							:			Dict	):
    shutil.rmtree(self.tmpdirname	)


 def 					_lowercase (			self							:			Dict	):
    __lowercase								=						[np.random.randint(2_5_5,					size=(3, 3_0, 4_0_0),					dtype=np.uinta	)]

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

    return image_inputs


 def 					_lowercase (			self							:			List[Any]	):
    __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=UpperCAmelCase__,					padding_value=1.0	)

    __lowercase								=						BlipProcessor.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 					_lowercase (			self							:			Dict	):
    __lowercase								=						self.get_image_processor()
    __lowercase								=						self.get_tokenizer()

    __lowercase								=						BlipProcessor(tokenizer=UpperCAmelCase__,					image_processor=UpperCAmelCase__	)

    __lowercase								=						self.prepare_image_inputs()

    __lowercase								=						image_processor(UpperCAmelCase__,					return_tensors="np"	)
    __lowercase								=						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 					_lowercase (			self							:			Optional[int]	):
    __lowercase								=						self.get_image_processor()
    __lowercase								=						self.get_tokenizer()

    __lowercase								=						BlipProcessor(tokenizer=UpperCAmelCase__,					image_processor=UpperCAmelCase__	)

    __lowercase								=						"lower newer"

    __lowercase								=						processor(text=UpperCAmelCase__	)

    __lowercase								=						tokenizer(UpperCAmelCase__,					return_token_type_ids=UpperCAmelCase__	)

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


 def 					_lowercase (			self							:			Tuple	):
    __lowercase								=						self.get_image_processor()
    __lowercase								=						self.get_tokenizer()

    __lowercase								=						BlipProcessor(tokenizer=UpperCAmelCase__,					image_processor=UpperCAmelCase__	)

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

    __lowercase								=						processor(text=UpperCAmelCase__,					images=UpperCAmelCase__	)

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

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


 def 					_lowercase (			self							:			List[str]	):
    __lowercase								=						self.get_image_processor()
    __lowercase								=						self.get_tokenizer()

    __lowercase								=						BlipProcessor(tokenizer=UpperCAmelCase__,					image_processor=UpperCAmelCase__	)

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

    __lowercase								=						processor.batch_decode(UpperCAmelCase__	)
    __lowercase								=						tokenizer.batch_decode(UpperCAmelCase__	)

    self.assertListEqual(UpperCAmelCase__,					UpperCAmelCase__	)



 def 					_lowercase (			self							:			Optional[int]	):
    __lowercase								=						self.get_image_processor()
    __lowercase								=						self.get_tokenizer()

    __lowercase								=						BlipProcessor(tokenizer=UpperCAmelCase__,					image_processor=UpperCAmelCase__	)

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

    __lowercase								=						processor(text=UpperCAmelCase__,					images=UpperCAmelCase__	)

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










def 		__A		(	__lowerCamelCase    )      ->       int:
	a										=							0
	while num > 0:
		digit_sum += num % 10
		num //= 10
	return digit_sum





def 		__A		(	__lowerCamelCase = 100    )      ->       int:
	a										=							1
	a										=							2

	for i in range(2							,			max_n + 1    ):
		a										=							pre_numerator
		a										=							2 * i // 3 if i % 3 == 0 else 1
		a										=							cur_numerator
		a										=							e_cont * pre_numerator + temp

	return sum_digits(__lowerCamelCase    )


if __name__ == "__main__":
		print(F'{solution() = }')

