

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     ):





    def       snake_case_				(      self):
         lowercase__    :   Optional[int]      =       tempfile.mkdtemp()

         lowercase__    :   Any      =       BlipImageProcessor()
         lowercase__    :   Dict      =       BertTokenizer.from_pretrained('hf-internal-testing/tiny-random-BertModel')

         lowercase__    :   List[Any]      =       BlipProcessor(a						,   a)

         processor.save_pretrained(self.tmpdirname)





    def       snake_case_				(      self						,   **a):
         return AutoProcessor.from_pretrained(self.tmpdirname						,   **a).tokenizer





    def       snake_case_				(      self						,   **a):
         return AutoProcessor.from_pretrained(self.tmpdirname						,   **a).image_processor





    def       snake_case_				(      self):
         shutil.rmtree(self.tmpdirname)





    def       snake_case_				(      self):
         lowercase__    :   Optional[Any]      =       [np.random.randint(255						,   size=(3, 30, 400)						,   dtype=np.uinta)]

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

         return image_inputs





    def       snake_case_				(      self):
         lowercase__    :   Tuple      =       BlipProcessor(tokenizer=self.get_tokenizer()						,   image_processor=self.get_image_processor())
         processor.save_pretrained(self.tmpdirname)

         lowercase__    :   Dict      =       self.get_tokenizer(bos_token='(BOS)'						,   eos_token='(EOS)')
         lowercase__    :   Union[str, Any]      =       self.get_image_processor(do_normalize=a						,   padding_value=1.0)

         lowercase__    :   List[Any]      =       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       snake_case_				(      self):
         lowercase__    :   int      =       self.get_image_processor()
         lowercase__    :   Optional[Any]      =       self.get_tokenizer()

         lowercase__    :   str      =       BlipProcessor(tokenizer=a						,   image_processor=a)

         lowercase__    :   List[str]      =       self.prepare_image_inputs()

         lowercase__    :   List[Any]      =       image_processor(a						,   return_tensors='np')
         lowercase__    :   int      =       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       snake_case_				(      self):
         lowercase__    :   Optional[Any]      =       self.get_image_processor()
         lowercase__    :   Optional[Any]      =       self.get_tokenizer()

         lowercase__    :   List[Any]      =       BlipProcessor(tokenizer=a						,   image_processor=a)

         lowercase__    :   Union[str, Any]      =       'lower newer'

         lowercase__    :   Union[str, Any]      =       processor(text=a)

         lowercase__    :   Tuple      =       tokenizer(a						,   return_token_type_ids=a)

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





    def       snake_case_				(      self):
         lowercase__    :   Optional[Any]      =       self.get_image_processor()
         lowercase__    :   Optional[Any]      =       self.get_tokenizer()

         lowercase__    :   Any      =       BlipProcessor(tokenizer=a						,   image_processor=a)

         lowercase__    :   int      =       'lower newer'
         lowercase__    :   Dict      =       self.prepare_image_inputs()

         lowercase__    :   int      =       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       snake_case_				(      self):
         lowercase__    :   Tuple      =       self.get_image_processor()
         lowercase__    :   int      =       self.get_tokenizer()

         lowercase__    :   Dict      =       BlipProcessor(tokenizer=a						,   image_processor=a)

         lowercase__    :   Dict      =       [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

         lowercase__    :   Optional[Any]      =       processor.batch_decode(a)
         lowercase__    :   List[str]      =       tokenizer.batch_decode(a)

         self.assertListEqual(a						,   a)





    def       snake_case_				(      self):
         lowercase__    :   str      =       self.get_image_processor()
         lowercase__    :   Dict      =       self.get_tokenizer()

         lowercase__    :   List[Any]      =       BlipProcessor(tokenizer=a						,   image_processor=a)

         lowercase__    :   Optional[Any]      =       'lower newer'
         lowercase__    :   Optional[int]      =       self.prepare_image_inputs()

         lowercase__    :   int      =       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 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str			):



     '''simple docstring'''





     if not all(char in '01' for char in bin_string			):
          raise ValueError('Non-binary value was passed to the function'			)
     if not bin_string:
          raise ValueError('Empty string was passed to the function'			)
     lowercase__    :   Union[str, Any]      =       ''
     while len(SCREAMING_SNAKE_CASE_			) % 3 != 0:
          lowercase__    :   List[str]      =       '0' + bin_string
     lowercase__    :   Any      =       [
         bin_string[index : index + 3]
         for index in range(len(SCREAMING_SNAKE_CASE_			)			)
         if index % 3 == 0
     ]
     for bin_group in bin_string_in_3_list:
          lowercase__    :   str      =       0
          for index, val in enumerate(SCREAMING_SNAKE_CASE_			):
               oct_val += int(2 ** (2 - index) * int(SCREAMING_SNAKE_CASE_			)			)
          oct_string += str(SCREAMING_SNAKE_CASE_			)
     return oct_string


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

       testmod()

