



'''simple docstring'''




import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding

class 			UpperCamelCase_ (							__lowerCamelCase			):
	lowercase          = ["""image_processor""", """tokenizer"""]
	lowercase          = """ViTImageProcessor"""
	lowercase          = ("""CLIPTokenizer""", """CLIPTokenizerFast""")





	def __init__(  self		,		A=None		,		A=None		,		**A    )			->			Union[str, Any]:
								UpperCAmelCase     :		List[str]							     =		None
								if "feature_extractor" in kwargs:
															warnings.warn(
															    """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
															    """ instead."""		,		__lowercase		,		)
															UpperCAmelCase     :		Union[str, Any]							     =		kwargs.pop("""feature_extractor"""    )

								UpperCAmelCase     :		int							     =		image_processor if image_processor is not None else feature_extractor
								if image_processor is None:
															raise ValueError("""You need to specify an `image_processor`."""    )
								if tokenizer is None:
															raise ValueError("""You need to specify a `tokenizer`."""    )

								super().__init__(__lowercase		,		__lowercase    )





	def __call__(  self		,		A=None		,		A=None		,		A=None		,		A=None		,		**A    )			->			Any:
								if text is None and visual_prompt is None and images is None:
															raise ValueError("""You have to specify either text, visual prompt or images."""    )

								if text is not None and visual_prompt is not None:
															raise ValueError("""You have to specify exactly one type of prompt. Either text or visual prompt."""    )

								if text is not None:
															UpperCAmelCase     :		List[Any]							     =		self.tokenizer(__lowercase		,		return_tensors=__lowercase		,		**__lowercase    )

								if visual_prompt is not None:
															UpperCAmelCase     :		List[Any]							     =		self.image_processor(__lowercase		,		return_tensors=__lowercase		,		**__lowercase    )

								if images is not None:
															UpperCAmelCase     :		List[Any]							     =		self.image_processor(__lowercase		,		return_tensors=__lowercase		,		**__lowercase    )

								if visual_prompt is not None and images is not None:
															UpperCAmelCase     :		List[Any]							     =		{
															    '''pixel_values''': image_features.pixel_values,
															    '''conditional_pixel_values''': prompt_features.pixel_values,
															}
															return encoding
								elif text is not None and images is not None:
															UpperCAmelCase     :		Union[str, Any]							     =		image_features.pixel_values
															return encoding
								elif text is not None:
															return encoding
								elif visual_prompt is not None:
															UpperCAmelCase     :		Tuple							     =		{
															    '''conditional_pixel_values''': prompt_features.pixel_values,
															}
															return encoding
								else:
															return BatchEncoding(data=dict(**__lowercase    )		,		tensor_type=__lowercase    )





	def  _lowercase(  self		,		*A		,		**A    )			->			int:
								return self.tokenizer.batch_decode(*__lowercase		,		**__lowercase    )





	def  _lowercase(  self		,		*A		,		**A    )			->			List[Any]:
								return self.tokenizer.decode(*__lowercase		,		**__lowercase    )





	@property
	def  _lowercase(  self    )			->			Tuple:
								warnings.warn(
								    """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""		,		__lowercase		,		)
								return self.image_processor_class






	@property
	def  _lowercase(  self    )			->			Dict:
								warnings.warn(
								    """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""		,		__lowercase		,		)
								return self.image_processor






# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
A__								=						abspath(join(dirname(dirname(dirname(__file__))), '''src'''))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)



def 			_lowerCAmelCase       (					__lowerCAmelCase      )   ->					str:


				"""simple docstring"""

				from transformers.testing_utils import pytest_addoption_shared

				pytest_addoption_shared(__lowerCAmelCase      )





def 			_lowerCAmelCase       (					__lowerCAmelCase      )   ->					List[Any]:


				"""simple docstring"""

				from transformers.testing_utils import pytest_terminal_summary_main

				snake_case__	:      Dict     		=	terminalreporter.config.getoption('''--make-reports'''      )
				if make_reports:
								pytest_terminal_summary_main(__lowerCAmelCase  ,  id=__lowerCAmelCase      )

