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     a_			(						unittest.TestCase						):






 '''simple docstring'''






 def 		__snake_case						(      self :  Dict):







        '''simple docstring'''



        lowerCAmelCase__					     = tempfile.mkdtemp()

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

        lowerCAmelCase__					     = BlipProcessor(lowercase__      ,   lowercase__)

        processor.save_pretrained(self.tmpdirname)




 def 		__snake_case						(      self :  Optional[int]      ,   **lowercase__ :  Any):







        '''simple docstring'''



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




 def 		__snake_case						(      self :  List[str]      ,   **lowercase__ :  str):







        '''simple docstring'''



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




 def 		__snake_case						(      self :  Union[str, Any]):







        '''simple docstring'''



        shutil.rmtree(self.tmpdirname)




 def 		__snake_case						(      self :  Optional[Any]):







        '''simple docstring'''



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

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

        return image_inputs




 def 		__snake_case						(      self :  List[str]):







        '''simple docstring'''



        lowerCAmelCase__					     = BlipProcessor(tokenizer=self.get_tokenizer()      ,   image_processor=self.get_image_processor())
        processor.save_pretrained(self.tmpdirname)

        lowerCAmelCase__					     = self.get_tokenizer(bos_token='(BOS)'      ,   eos_token='(EOS)')
        lowerCAmelCase__					     = self.get_image_processor(do_normalize=lowercase__      ,   padding_value=1.0)

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

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

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




 def 		__snake_case						(      self :  str):







        '''simple docstring'''



        lowerCAmelCase__					     = self.get_image_processor()
        lowerCAmelCase__					     = self.get_tokenizer()

        lowerCAmelCase__					     = BlipProcessor(tokenizer=lowercase__      ,   image_processor=lowercase__)

        lowerCAmelCase__					     = self.prepare_image_inputs()

        lowerCAmelCase__					     = image_processor(lowercase__      ,   return_tensors='np')
        lowerCAmelCase__					     = processor(images=lowercase__      ,   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 		__snake_case						(      self :  Union[str, Any]):







        '''simple docstring'''



        lowerCAmelCase__					     = self.get_image_processor()
        lowerCAmelCase__					     = self.get_tokenizer()

        lowerCAmelCase__					     = BlipProcessor(tokenizer=lowercase__      ,   image_processor=lowercase__)

        lowerCAmelCase__					     = 'lower newer'

        lowerCAmelCase__					     = processor(text=lowercase__)

        lowerCAmelCase__					     = tokenizer(lowercase__      ,   return_token_type_ids=lowercase__)

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




 def 		__snake_case						(      self :  Dict):







        '''simple docstring'''



        lowerCAmelCase__					     = self.get_image_processor()
        lowerCAmelCase__					     = self.get_tokenizer()

        lowerCAmelCase__					     = BlipProcessor(tokenizer=lowercase__      ,   image_processor=lowercase__)

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

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

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

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




 def 		__snake_case						(      self :  int):







        '''simple docstring'''



        lowerCAmelCase__					     = self.get_image_processor()
        lowerCAmelCase__					     = self.get_tokenizer()

        lowerCAmelCase__					     = BlipProcessor(tokenizer=lowercase__      ,   image_processor=lowercase__)

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

        lowerCAmelCase__					     = processor.batch_decode(lowercase__)
        lowerCAmelCase__					     = tokenizer.batch_decode(lowercase__)

        self.assertListEqual(lowercase__      ,   lowercase__)




 def 		__snake_case						(      self :  List[str]):







        '''simple docstring'''



        lowerCAmelCase__					     = self.get_image_processor()
        lowerCAmelCase__					     = self.get_tokenizer()

        lowerCAmelCase__					     = BlipProcessor(tokenizer=lowercase__      ,   image_processor=lowercase__)

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

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

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

import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union
@dataclass
class     a_			:






 '''simple docstring'''






 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= True
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= 1
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= None




 def 		__snake_case						(      self :  Dict):







        '''simple docstring'''



        return self.__class__(**{k: copy.deepcopy(lowercase__) for k, v in self.__dict__.items()})
