


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 	__lowercase    (unittest.TestCase  ):





							"""simple docstring"""







							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					tempfile.mkdtemp()

										SCREAMING_SNAKE_CASE_		:     Dict					=					BlipImageProcessor()
										SCREAMING_SNAKE_CASE_		:     Optional[int]					=					GPTaTokenizer.from_pretrained('hf-internal-testing/tiny-random-GPT2Model'       )
										SCREAMING_SNAKE_CASE_		:     str					=					BertTokenizerFast.from_pretrained('hf-internal-testing/tiny-random-bert'       )

										SCREAMING_SNAKE_CASE_		:     Optional[int]					=					InstructBlipProcessor(lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__       )

										processor.save_pretrained(self.tmpdirname       )






							def 					UpperCamelCase__     (      self			,						**lowerCAmelCase__       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self			,						**lowerCAmelCase__       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self			,						**lowerCAmelCase__       ):





										"""simple docstring"""




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






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										shutil.rmtree(self.tmpdirname       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					[np.random.randint(2_5_5			,						size=(3, 3_0, 4_0_0)			,						dtype=np.uinta       )]

										SCREAMING_SNAKE_CASE_		:     Optional[int]					=					[Image.fromarray(np.moveaxis(lowerCAmelCase__			,						0			,						-1       )       ) for x in image_inputs]

										return image_inputs






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     str					=					InstructBlipProcessor(
										    tokenizer=self.get_tokenizer()			,						image_processor=self.get_image_processor()			,						qformer_tokenizer=self.get_qformer_tokenizer()			,						)
										processor.save_pretrained(self.tmpdirname       )

										SCREAMING_SNAKE_CASE_		:     str					=					self.get_tokenizer(bos_token='(BOS)'			,						eos_token='(EOS)'       )
										SCREAMING_SNAKE_CASE_		:     int					=					self.get_image_processor(do_normalize=lowerCAmelCase__			,						padding_value=1.0       )

										SCREAMING_SNAKE_CASE_		:     Any					=					InstructBlipProcessor.from_pretrained(
										    self.tmpdirname			,						bos_token='(BOS)'			,						eos_token='(EOS)'			,						do_normalize=lowerCAmelCase__			,						padding_value=1.0       )

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

										self.assertEqual(processor.image_processor.to_json_string()			,						image_processor_add_kwargs.to_json_string()       )
										self.assertIsInstance(processor.image_processor			,						lowerCAmelCase__       )
										self.assertIsInstance(processor.qformer_tokenizer			,						lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     List[Any]					=					self.get_image_processor()
										SCREAMING_SNAKE_CASE_		:     List[str]					=					self.get_tokenizer()
										SCREAMING_SNAKE_CASE_		:     Dict					=					self.get_qformer_tokenizer()

										SCREAMING_SNAKE_CASE_		:     str					=					InstructBlipProcessor(
										    tokenizer=lowerCAmelCase__			,						image_processor=lowerCAmelCase__			,						qformer_tokenizer=lowerCAmelCase__       )

										SCREAMING_SNAKE_CASE_		:     List[Any]					=					self.prepare_image_inputs()

										SCREAMING_SNAKE_CASE_		:     List[str]					=					image_processor(lowerCAmelCase__			,						return_tensors='np'       )
										SCREAMING_SNAKE_CASE_		:     Optional[int]					=					processor(images=lowerCAmelCase__			,						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       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					self.get_image_processor()
										SCREAMING_SNAKE_CASE_		:     Tuple					=					self.get_tokenizer()
										SCREAMING_SNAKE_CASE_		:     Optional[int]					=					self.get_qformer_tokenizer()

										SCREAMING_SNAKE_CASE_		:     Any					=					InstructBlipProcessor(
										    tokenizer=lowerCAmelCase__			,						image_processor=lowerCAmelCase__			,						qformer_tokenizer=lowerCAmelCase__       )

										SCREAMING_SNAKE_CASE_		:     Tuple					=					'lower newer'

										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					processor(text=lowerCAmelCase__       )

										SCREAMING_SNAKE_CASE_		:     Dict					=					tokenizer(lowerCAmelCase__			,						return_token_type_ids=lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     Tuple					=					qformer_tokenizer(lowerCAmelCase__			,						return_token_type_ids=lowerCAmelCase__       )

										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       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					self.get_image_processor()
										SCREAMING_SNAKE_CASE_		:     str					=					self.get_tokenizer()
										SCREAMING_SNAKE_CASE_		:     List[Any]					=					self.get_qformer_tokenizer()

										SCREAMING_SNAKE_CASE_		:     Tuple					=					InstructBlipProcessor(
										    tokenizer=lowerCAmelCase__			,						image_processor=lowerCAmelCase__			,						qformer_tokenizer=lowerCAmelCase__       )

										SCREAMING_SNAKE_CASE_		:     Tuple					=					'lower newer'
										SCREAMING_SNAKE_CASE_		:     int					=					self.prepare_image_inputs()

										SCREAMING_SNAKE_CASE_		:     List[str]					=					processor(text=lowerCAmelCase__			,						images=lowerCAmelCase__       )

										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(lowerCAmelCase__       ):
													processor()






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					self.get_image_processor()
										SCREAMING_SNAKE_CASE_		:     str					=					self.get_tokenizer()
										SCREAMING_SNAKE_CASE_		:     List[str]					=					self.get_qformer_tokenizer()

										SCREAMING_SNAKE_CASE_		:     List[str]					=					InstructBlipProcessor(
										    tokenizer=lowerCAmelCase__			,						image_processor=lowerCAmelCase__			,						qformer_tokenizer=lowerCAmelCase__       )

										SCREAMING_SNAKE_CASE_		:     List[str]					=					[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					processor.batch_decode(lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     Any					=					tokenizer.batch_decode(lowerCAmelCase__       )

										self.assertListEqual(lowerCAmelCase__			,						lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Dict					=					self.get_image_processor()
										SCREAMING_SNAKE_CASE_		:     str					=					self.get_tokenizer()
										SCREAMING_SNAKE_CASE_		:     List[Any]					=					self.get_qformer_tokenizer()

										SCREAMING_SNAKE_CASE_		:     Tuple					=					InstructBlipProcessor(
										    tokenizer=lowerCAmelCase__			,						image_processor=lowerCAmelCase__			,						qformer_tokenizer=lowerCAmelCase__       )

										SCREAMING_SNAKE_CASE_		:     List[Any]					=					'lower newer'
										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					self.prepare_image_inputs()

										SCREAMING_SNAKE_CASE_		:     Any					=					processor(text=lowerCAmelCase__			,						images=lowerCAmelCase__       )

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









def 		_A		(		_lowercase )					-> int:


     """simple docstring"""


     assert column_title.isupper()
     __UpperCamelCase =			0
     __UpperCamelCase =			len(_lowercase ) - 1
     __UpperCamelCase =			0

     while index >= 0:
          __UpperCamelCase =			(ord(column_title[index] ) - 64) * pow(26					,  _lowercase )
          answer += value
          power += 1
          index -= 1

     return answer


if __name__ == "__main__":
    from doctest import testmod

    testmod()


