
'''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  _UpperCAmelCase ( unittest.TestCase    ):

     """simple docstring"""

     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       a_      :	Optional[int]      =							tempfile.mkdtemp()

       a_      :	Union[str, Any]      =							BlipImageProcessor()
       a_      :	Union[str, Any]      =							GPTaTokenizer.from_pretrained("""hf-internal-testing/tiny-random-GPT2Model""" )
       a_      :	Optional[Any]      =							BertTokenizerFast.from_pretrained("""hf-internal-testing/tiny-random-bert""" )

       a_      :	Optional[int]      =							InstructBlipProcessor(lowerCAmelCase_							,		lowerCAmelCase_							,		lowerCAmelCase_ )

       processor.save_pretrained(self.tmpdirname )


     def 							_lowerCAmelCase  (      self							,		**lowerCAmelCase_ ):

       '''simple docstring'''

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


     def 							_lowerCAmelCase  (      self							,		**lowerCAmelCase_ ):

       '''simple docstring'''

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


     def 							_lowerCAmelCase  (      self							,		**lowerCAmelCase_ ):

       '''simple docstring'''

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


     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       shutil.rmtree(self.tmpdirname )


     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       a_      :	List[str]      =							[np.random.randint(2_55							,		size=(3, 30, 4_00)							,		dtype=np.uinta )]

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

       return image_inputs


     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       a_      :	Union[str, Any]      =							InstructBlipProcessor(
           tokenizer=self.get_tokenizer()							,		image_processor=self.get_image_processor()							,		qformer_tokenizer=self.get_qformer_tokenizer()							,		)
       processor.save_pretrained(self.tmpdirname )

       a_      :	Dict      =							self.get_tokenizer(bos_token="""(BOS)"""							,		eos_token="""(EOS)""" )
       a_      :	int      =							self.get_image_processor(do_normalize=lowerCAmelCase_							,		padding_value=1.0 )

       a_      :	List[str]      =							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 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

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

       a_      :	str      =							InstructBlipProcessor(
           tokenizer=lowerCAmelCase_							,		image_processor=lowerCAmelCase_							,		qformer_tokenizer=lowerCAmelCase_ )

       a_      :	str      =							self.prepare_image_inputs()

       a_      :	List[Any]      =							image_processor(lowerCAmelCase_							,		return_tensors="""np""" )
       a_      :	List[str]      =							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 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       a_      :	List[Any]      =							self.get_image_processor()
       a_      :	Tuple      =							self.get_tokenizer()
       a_      :	Any      =							self.get_qformer_tokenizer()

       a_      :	Any      =							InstructBlipProcessor(
           tokenizer=lowerCAmelCase_							,		image_processor=lowerCAmelCase_							,		qformer_tokenizer=lowerCAmelCase_ )

       a_      :	int      =							"""lower newer"""

       a_      :	List[Any]      =							processor(text=lowerCAmelCase_ )

       a_      :	Optional[Any]      =							tokenizer(lowerCAmelCase_							,		return_token_type_ids=lowerCAmelCase_ )
       a_      :	Dict      =							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 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

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

       a_      :	List[str]      =							InstructBlipProcessor(
           tokenizer=lowerCAmelCase_							,		image_processor=lowerCAmelCase_							,		qformer_tokenizer=lowerCAmelCase_ )

       a_      :	Tuple      =							"""lower newer"""
       a_      :	List[str]      =							self.prepare_image_inputs()

       a_      :	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 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

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

       a_      :	List[str]      =							InstructBlipProcessor(
           tokenizer=lowerCAmelCase_							,		image_processor=lowerCAmelCase_							,		qformer_tokenizer=lowerCAmelCase_ )

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

       a_      :	Union[str, Any]      =							processor.batch_decode(lowerCAmelCase_ )
       a_      :	int      =							tokenizer.batch_decode(lowerCAmelCase_ )

       self.assertListEqual(lowerCAmelCase_							,		lowerCAmelCase_ )






     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

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

       a_      :	Dict      =							InstructBlipProcessor(
           tokenizer=lowerCAmelCase_							,		image_processor=lowerCAmelCase_							,		qformer_tokenizer=lowerCAmelCase_ )

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

       a_      :	Dict      =							processor(text=lowerCAmelCase_							,		images=lowerCAmelCase_ )

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




'''simple docstring'''

from datasets.utils.patching import _PatchedModuleObj, patch_submodule

from . import _test_patching






def 	_snake_case						(      ):
  """simple docstring"""







  import os as original_os
  from os import path as original_path
  from os import rename as original_rename
  from os.path import dirname as original_dirname
  from os.path import join as original_join

  assert _test_patching.os is original_os
  assert _test_patching.path is original_path
  assert _test_patching.join is original_join

  assert _test_patching.renamed_os is original_os
  assert _test_patching.renamed_path is original_path
  assert _test_patching.renamed_join is original_join

  a_      :	List[str]      =							"""__test_patch_submodule_mock__"""
  with patch_submodule(_test_patching     ,		"""os.path.join"""     ,		A_   ):
    # Every way to access os.path.join must be patched, and the rest must stay untouched

    # check os.path.join
    assert isinstance(_test_patching.os     ,		_PatchedModuleObj   )
    assert isinstance(_test_patching.os.path     ,		_PatchedModuleObj   )
    assert _test_patching.os.path.join is mock

    # check path.join
    assert isinstance(_test_patching.path     ,		_PatchedModuleObj   )
    assert _test_patching.path.join is mock

    # check join
    assert _test_patching.join is mock

    # check that the other attributes are untouched
    assert _test_patching.os.rename is original_rename
    assert _test_patching.path.dirname is original_dirname
    assert _test_patching.os.path.dirname is original_dirname

    # Even renamed modules or objects must be patched

    # check renamed_os.path.join
    assert isinstance(_test_patching.renamed_os     ,		_PatchedModuleObj   )
    assert isinstance(_test_patching.renamed_os.path     ,		_PatchedModuleObj   )
    assert _test_patching.renamed_os.path.join is mock

    # check renamed_path.join
    assert isinstance(_test_patching.renamed_path     ,		_PatchedModuleObj   )
    assert _test_patching.renamed_path.join is mock

    # check renamed_join
    assert _test_patching.renamed_join is mock

    # check that the other attributes are untouched
    assert _test_patching.renamed_os.rename is original_rename
    assert _test_patching.renamed_path.dirname is original_dirname
    assert _test_patching.renamed_os.path.dirname is original_dirname

  # check that everthing is back to normal when the patch is over

  assert _test_patching.os is original_os
  assert _test_patching.path is original_path
  assert _test_patching.join is original_join

  assert _test_patching.renamed_os is original_os
  assert _test_patching.renamed_path is original_path
  assert _test_patching.renamed_join is original_join






def 	_snake_case						(      ):
  """simple docstring"""







  assert _test_patching.open is open

  a_      :	Tuple      =							"""__test_patch_submodule_builtin_mock__"""
  # _test_patching has "open" in its globals
  assert _test_patching.open is open
  with patch_submodule(_test_patching     ,		"""open"""     ,		A_   ):
    assert _test_patching.open is mock

  # check that everthing is back to normal when the patch is over

  assert _test_patching.open is open






def 	_snake_case						(      ):
  """simple docstring"""







  a_      :	Any      =							"""__test_patch_submodule_missing_mock__"""
  with patch_submodule(_test_patching     ,		"""pandas.read_csv"""     ,		A_   ):
    pass






def 	_snake_case						(      ):
  """simple docstring"""







  a_      :	int      =							"""__test_patch_submodule_missing_builtin_mock__"""
  # _test_patching doesn't have "len" in its globals
  assert getattr(_test_patching     ,		"""len"""     ,		A_   ) is None
  with patch_submodule(_test_patching     ,		"""len"""     ,		A_   ):
    assert _test_patching.len is mock
  assert _test_patching.len is len






def 	_snake_case						(      ):
  """simple docstring"""







  a_      :	List[str]      =							"""__test_patch_submodule_start_and_stop_mock__"""
  a_      :	int      =							patch_submodule(_test_patching     ,		"""open"""     ,		A_   )
  assert _test_patching.open is open
  patch.start()
  assert _test_patching.open is mock
  patch.stop()
  assert _test_patching.open is open






def 	_snake_case						(      ):
  """simple docstring"""







  from os import rename as original_rename
  from os.path import dirname as original_dirname
  from os.path import join as original_join

  a_      :	Any      =							"""__test_patch_submodule_successive_join__"""
  a_      :	Optional[Any]      =							"""__test_patch_submodule_successive_dirname__"""
  a_      :	Optional[int]      =							"""__test_patch_submodule_successive_rename__"""
  assert _test_patching.os.path.join is original_join
  assert _test_patching.os.path.dirname is original_dirname
  assert _test_patching.os.rename is original_rename

  with patch_submodule(_test_patching     ,		"""os.path.join"""     ,		A_   ):
    with patch_submodule(_test_patching     ,		"""os.rename"""     ,		A_   ):
      with patch_submodule(_test_patching     ,		"""os.path.dirname"""     ,		A_   ):
        assert _test_patching.os.path.join is mock_join
        assert _test_patching.os.path.dirname is mock_dirname
        assert _test_patching.os.rename is mock_rename

    # try another order
  with patch_submodule(_test_patching     ,		"""os.rename"""     ,		A_   ):
    with patch_submodule(_test_patching     ,		"""os.path.join"""     ,		A_   ):
      with patch_submodule(_test_patching     ,		"""os.path.dirname"""     ,		A_   ):
        assert _test_patching.os.path.join is mock_join
        assert _test_patching.os.path.dirname is mock_dirname
        assert _test_patching.os.rename is mock_rename

  assert _test_patching.os.path.join is original_join
  assert _test_patching.os.path.dirname is original_dirname
  assert _test_patching.os.rename is original_rename






def 	_snake_case						(      ):
  """simple docstring"""







  a_      :	Optional[int]      =							"""__test_patch_submodule_doesnt_exist_mock__"""
  with patch_submodule(_test_patching     ,		"""__module_that_doesn_exist__.__attribute_that_doesn_exist__"""     ,		A_   ):
    pass
  with patch_submodule(_test_patching     ,		"""os.__attribute_that_doesn_exist__"""     ,		A_   ):
    pass


