

'''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 SCREAMING_SNAKE_CASE  (		unittest.TestCase							):






			"""simple docstring"""




			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				snake_case_      		= tempfile.mkdtemp()

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

				snake_case_      		= BlipProcessor(__a ,				__a							)

				processor.save_pretrained(self.tmpdirname							)


			def 			__lowerCAmelCase (    self ,				**__UpperCamelCase							):

				"""simple docstring"""


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


			def 			__lowerCAmelCase (    self ,				**__UpperCamelCase							):

				"""simple docstring"""


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


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				shutil.rmtree(self.tmpdirname							)


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


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

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

				return image_inputs


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				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=__a ,				padding_value=1.0							)

				snake_case_      		= BlipProcessor.from_pretrained(
				    self.tmpdirname ,				bos_token='(BOS)' ,				eos_token='(EOS)' ,				do_normalize=__a ,				padding_value=1.0							)

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

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


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


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

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

				snake_case_      		= self.prepare_image_inputs()

				snake_case_      		= image_processor(__a ,				return_tensors='np'							)
				snake_case_      		= processor(images=__a ,				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 			__lowerCAmelCase (    self							):

				"""simple docstring"""


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

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

				snake_case_      		= "lower newer"

				snake_case_      		= processor(text=__a							)

				snake_case_      		= tokenizer(__a ,				return_token_type_ids=__a							)

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


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


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

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

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

				snake_case_      		= processor(text=__a ,				images=__a							)

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

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


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


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

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

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

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

				self.assertListEqual(__a ,				__a							)







			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


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

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

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

				snake_case_      		= processor(text=__a ,				images=__a							)

				# 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(lowercase__			, lowercase__	):





	'''simple docstring'''
	if not isinstance(lowercase__			, lowercase__	):
		raise ValueError('iterations must be defined as integers'	)
	if not isinstance(lowercase__			, lowercase__	) or not number >= 1:
		raise ValueError(
		    'starting number must be\n                         and integer and be more than 0'	)
	if not iterations >= 1:
		raise ValueError('Iterations must be done more than 0 times to play FizzBuzz'	)

	snake_case_      		= ''
	while number <= iterations:
		if number % 3 == 0:
			out += "Fizz"
		if number % 5 == 0:
			out += "Buzz"
		if 0 not in (number % 3, number % 5):
			out += str(lowercase__	)

		# print(out)
		number += 1
		out += " "
	return out


if __name__ == "__main__":
		import doctest

		doctest.testmod()
