


'''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,
     BertTokenizerFast,
     BlipImageProcessor,
     GPTaTokenizer,
     InstructBlipProcessor,
     PreTrainedTokenizerFast,
 )
@require_vision
class     __lowerCAmelCase		(unittest.TestCase	):





      '''simple docstring'''






      def  UpperCamelCase__						(self       :       List[str]					):

             '''simple docstring'''







             lowercase__      =					tempfile.mkdtemp()

             lowercase__      =					BlipImageProcessor()
             lowercase__      =					GPTaTokenizer.from_pretrained('''hf-internal-testing/tiny-random-GPT2Model'''					)
             lowercase__      =					BertTokenizerFast.from_pretrained('''hf-internal-testing/tiny-random-bert'''					)

             lowercase__      =					InstructBlipProcessor(UpperCamelCase  ,		UpperCamelCase  ,		UpperCamelCase					)

             processor.save_pretrained(self.tmpdirname					)



      def  UpperCamelCase__						(self       :       List[str]  ,		**UpperCamelCase       :       List[Any]					):

             '''simple docstring'''







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



      def  UpperCamelCase__						(self       :       Any  ,		**UpperCamelCase       :       List[Any]					):

             '''simple docstring'''







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



      def  UpperCamelCase__						(self       :       Dict  ,		**UpperCamelCase       :       str					):

             '''simple docstring'''







             return AutoProcessor.from_pretrained(self.tmpdirname  ,		**UpperCamelCase					).qformer_tokenizer



      def  UpperCamelCase__						(self       :       str					):

             '''simple docstring'''







             shutil.rmtree(self.tmpdirname					)



      def  UpperCamelCase__						(self       :       List[str]					):

             '''simple docstring'''







             lowercase__      =					[np.random.randint(255  ,		size=(3, 30, 400)  ,		dtype=np.uinta					)]

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

             return image_inputs



      def  UpperCamelCase__						(self       :       Any					):

             '''simple docstring'''







             lowercase__      =					InstructBlipProcessor(
                 tokenizer=self.get_tokenizer()  ,		image_processor=self.get_image_processor()  ,		qformer_tokenizer=self.get_qformer_tokenizer()  ,		)
             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__      =					InstructBlipProcessor.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					)
             self.assertIsInstance(processor.qformer_tokenizer  ,		UpperCamelCase					)



      def  UpperCamelCase__						(self       :       List[Any]					):

             '''simple docstring'''







             lowercase__      =					self.get_image_processor()
             lowercase__      =					self.get_tokenizer()
             lowercase__      =					self.get_qformer_tokenizer()

             lowercase__      =					InstructBlipProcessor(
                 tokenizer=UpperCamelCase  ,		image_processor=UpperCamelCase  ,		qformer_tokenizer=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  UpperCamelCase__						(self       :       List[str]					):

             '''simple docstring'''







             lowercase__      =					self.get_image_processor()
             lowercase__      =					self.get_tokenizer()
             lowercase__      =					self.get_qformer_tokenizer()

             lowercase__      =					InstructBlipProcessor(
                 tokenizer=UpperCamelCase  ,		image_processor=UpperCamelCase  ,		qformer_tokenizer=UpperCamelCase					)

             lowercase__      =					'''lower newer'''

             lowercase__      =					processor(text=UpperCamelCase					)

             lowercase__      =					tokenizer(UpperCamelCase  ,		return_token_type_ids=UpperCamelCase					)
             lowercase__      =					qformer_tokenizer(UpperCamelCase  ,		return_token_type_ids=UpperCamelCase					)

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

             for key in encoded_tokens_qformer.keys():
                    self.assertListEqual(encoded_tokens_qformer[key]  ,		encoded_processor['''qformer_''' + key]					)



      def  UpperCamelCase__						(self       :       Optional[Any]					):

             '''simple docstring'''







             lowercase__      =					self.get_image_processor()
             lowercase__      =					self.get_tokenizer()
             lowercase__      =					self.get_qformer_tokenizer()

             lowercase__      =					InstructBlipProcessor(
                 tokenizer=UpperCamelCase  ,		image_processor=UpperCamelCase  ,		qformer_tokenizer=UpperCamelCase					)

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

             lowercase__      =					processor(text=UpperCamelCase  ,		images=UpperCamelCase					)

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

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



      def  UpperCamelCase__						(self       :       List[str]					):

             '''simple docstring'''







             lowercase__      =					self.get_image_processor()
             lowercase__      =					self.get_tokenizer()
             lowercase__      =					self.get_qformer_tokenizer()

             lowercase__      =					InstructBlipProcessor(
                 tokenizer=UpperCamelCase  ,		image_processor=UpperCamelCase  ,		qformer_tokenizer=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  UpperCamelCase__						(self       :       int					):

             '''simple docstring'''







             lowercase__      =					self.get_image_processor()
             lowercase__      =					self.get_tokenizer()
             lowercase__      =					self.get_qformer_tokenizer()

             lowercase__      =					InstructBlipProcessor(
                 tokenizer=UpperCamelCase  ,		image_processor=UpperCamelCase  ,		qformer_tokenizer=UpperCamelCase					)

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

             lowercase__      =					processor(text=UpperCamelCase  ,		images=UpperCamelCase					)

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








'''simple docstring'''

def _SCREAMING_SNAKE_CASE (A    ,					A    ,					A			)			->			list:






       """simple docstring"""







       lowercase__      =					len(A			)
       lowercase__      =					[[0] * n for i in range(A			)]
       for i in range(A			):
              lowercase__      =					y_points[i]

       for i in range(2    ,					A			):
              for j in range(A    ,					A			):
                     lowercase__      =					(
                         (xa - x_points[j - i + 1]) * q[j][i - 1]
                         - (xa - x_points[j]) * q[j - 1][i - 1]
                     ) / (x_points[j] - x_points[j - i + 1])

       return [q[n - 1][n - 1], q]


if __name__ == "__main__":
 import doctest

 doctest.testmod()




