


"""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	):







   def  lowerCamelCase		(	self						)	->		Dict:

       '''simple docstring'''




       snake_case    :      List[Any]      					=    tempfile.mkdtemp()

       snake_case    :      int      					=    BlipImageProcessor()
       snake_case    :      List[str]      					=    GPTaTokenizer.from_pretrained("hf-internal-testing/tiny-random-GPT2Model"						)
       snake_case    :      List[str]      					=    BertTokenizerFast.from_pretrained("hf-internal-testing/tiny-random-bert"						)

       snake_case    :      List[Any]      					=    InstructBlipProcessor(UpperCamelCase__						,	UpperCamelCase__						,	UpperCamelCase__						)

       processor.save_pretrained(self.tmpdirname						)







   def  lowerCamelCase		(	self						,	**UpperCamelCase__						)	->		List[str]:

       '''simple docstring'''




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







   def  lowerCamelCase		(	self						,	**UpperCamelCase__						)	->		Tuple:

       '''simple docstring'''




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







   def  lowerCamelCase		(	self						,	**UpperCamelCase__						)	->		Dict:

       '''simple docstring'''




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







   def  lowerCamelCase		(	self						)	->		Dict:

       '''simple docstring'''




       shutil.rmtree(self.tmpdirname						)







   def  lowerCamelCase		(	self						)	->		List[Any]:

       '''simple docstring'''




       snake_case    :      List[Any]      					=    [np.random.randint(255						,	size=(3, 30, 400)						,	dtype=np.uinta						)]

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

       return image_inputs







   def  lowerCamelCase		(	self						)	->		Any:

       '''simple docstring'''




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

       snake_case    :      Dict      					=    self.get_tokenizer(bos_token="(BOS)"						,	eos_token="(EOS)"						)
       snake_case    :      List[Any]      					=    self.get_image_processor(do_normalize=UpperCamelCase__						,	padding_value=1.0						)

       snake_case    :      Any      					=    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  lowerCamelCase		(	self						)	->		Dict:

       '''simple docstring'''




       snake_case    :      Optional[int]      					=    self.get_image_processor()
       snake_case    :      str      					=    self.get_tokenizer()
       snake_case    :      Dict      					=    self.get_qformer_tokenizer()

       snake_case    :      Optional[int]      					=    InstructBlipProcessor(
           tokenizer=UpperCamelCase__						,	image_processor=UpperCamelCase__						,	qformer_tokenizer=UpperCamelCase__						)

       snake_case    :      Union[str, Any]      					=    self.prepare_image_inputs()

       snake_case    :      Dict      					=    image_processor(UpperCamelCase__						,	return_tensors="np"						)
       snake_case    :      Any      					=    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  lowerCamelCase		(	self						)	->		List[Any]:

       '''simple docstring'''




       snake_case    :      int      					=    self.get_image_processor()
       snake_case    :      Tuple      					=    self.get_tokenizer()
       snake_case    :      Tuple      					=    self.get_qformer_tokenizer()

       snake_case    :      List[str]      					=    InstructBlipProcessor(
           tokenizer=UpperCamelCase__						,	image_processor=UpperCamelCase__						,	qformer_tokenizer=UpperCamelCase__						)

       snake_case    :      Dict      					=    "lower newer"

       snake_case    :      Union[str, Any]      					=    processor(text=UpperCamelCase__						)

       snake_case    :      Dict      					=    tokenizer(UpperCamelCase__						,	return_token_type_ids=UpperCamelCase__						)
       snake_case    :      Optional[Any]      					=    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  lowerCamelCase		(	self						)	->		Optional[Any]:

       '''simple docstring'''




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

       snake_case    :      Any      					=    InstructBlipProcessor(
           tokenizer=UpperCamelCase__						,	image_processor=UpperCamelCase__						,	qformer_tokenizer=UpperCamelCase__						)

       snake_case    :      Optional[int]      					=    "lower newer"
       snake_case    :      Any      					=    self.prepare_image_inputs()

       snake_case    :      str      					=    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  lowerCamelCase		(	self						)	->		Dict:

       '''simple docstring'''




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

       snake_case    :      Any      					=    InstructBlipProcessor(
           tokenizer=UpperCamelCase__						,	image_processor=UpperCamelCase__						,	qformer_tokenizer=UpperCamelCase__						)

       snake_case    :      Any      					=    [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

       snake_case    :      str      					=    processor.batch_decode(UpperCamelCase__						)
       snake_case    :      int      					=    tokenizer.batch_decode(UpperCamelCase__						)

       self.assertListEqual(UpperCamelCase__						,	UpperCamelCase__						)







   def  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




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

       snake_case    :      List[Any]      					=    InstructBlipProcessor(
           tokenizer=UpperCamelCase__						,	image_processor=UpperCamelCase__						,	qformer_tokenizer=UpperCamelCase__						)

       snake_case    :      int      					=    "lower newer"
       snake_case    :      Union[str, Any]      					=    self.prepare_image_inputs()

       snake_case    :      Tuple      					=    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   __lowerCAmelCase						(						lowercase  :  int )	->						bool:


    """simple docstring"""





    if p < 2:
        raise ValueError("p should not be less than 2!" )
    elif p == 2:
        return True

    snake_case    :      Dict      					=    4
    snake_case    :      str      					=    (1 << p) - 1
    for _ in range(p - 2 ):
        snake_case    :      Any      					=    ((s * s) - 2) % m
    return s == 0


if __name__ == "__main__":
  print(lucas_lehmer_test(7))
  print(lucas_lehmer_test(11))





