




'''simple docstring'''







import logging
import os
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


A									={
    'debug': logging.DEBUG,
    'info': logging.INFO,
    'warning': logging.WARNING,
    'error': logging.ERROR,
    'critical': logging.CRITICAL,
}

A									=logging.WARNING





def 		snake_case_							():
    UpperCAmelCase     =	os.getenv('''DATASETS_VERBOSITY'''					,     _a  )
    if env_level_str:
        if env_level_str in log_levels:
            return log_levels[env_level_str]
        else:
            logging.getLogger().warning(
                F"Unknown option DATASETS_VERBOSITY={env_level_str}, "
                F"has to be one of: { ', '.join(log_levels.keys()  ) }"  )
    return _default_log_level





def 		snake_case_							():
    return __name__.split('''.'''  )[0]





def 		snake_case_							():
    return logging.getLogger(_get_library_name()  )





def 		snake_case_							():
    # Apply our default configuration to the library root logger.
    UpperCAmelCase     =	_get_library_root_logger()
    library_root_logger.setLevel(_get_default_logging_level()  )





def 		snake_case_							():
    UpperCAmelCase     =	_get_library_root_logger()
    library_root_logger.setLevel(logging.NOTSET  )





def 		snake_case_							(_a			:							Optional[str] = None  ):
    if name is None:
        UpperCAmelCase     =	_get_library_name()
    return logging.getLogger(_a  )





def 		snake_case_							():
    return _get_library_root_logger().getEffectiveLevel()





def 		snake_case_							(_a			:							int  ):
    _get_library_root_logger().setLevel(_a  )





def 		snake_case_							():
    return set_verbosity(_a  )





def 		snake_case_							():
    return set_verbosity(_a  )





def 		snake_case_							():
    return set_verbosity(_a  )





def 		snake_case_							():
    return set_verbosity(_a  )





def 		snake_case_							():
    UpperCAmelCase     =	False





def 		snake_case_							():
    UpperCAmelCase     =	True


# Configure the library root logger at the module level (singleton-like)
_configure_library_root_logger()


class     _a						:
       def __init__(			self		:			str     ,       *lowercase		:			Union[str, Any]     ,       **lowercase		:			Tuple       ):  # pylint: disable=unused-argument



           '''simple docstring'''

           UpperCAmelCase     =	args[0] if args else None
       def __iter__(			self		:			str       ):



           '''simple docstring'''

           return iter(self._iterator       )
       def __getattr__(			self		:			Tuple     ,       lowercase		:			Union[str, Any]       ):



           '''simple docstring'''

           def empty_fn(*lowercase		:			Union[str, Any]     ,       **lowercase		:			Tuple       ):  # pylint: disable=unused-argument
               return

           return empty_fn
       def __enter__(			self		:			Dict       ):



           '''simple docstring'''

           return self







       def __exit__(			self		:			Union[str, Any]     ,       lowercase		:			List[Any]     ,       lowercase		:			int     ,       lowercase		:			Optional[int]       ):



           '''simple docstring'''

           return






A									=True


class     _a						:
       def __call__(			self		:			List[Any]     ,       *lowercase		:			List[Any]     ,       lowercase		:			int=False     ,       **lowercase		:			List[str]       ):



           '''simple docstring'''

           if _tqdm_active and not disable:
               return tqdm_lib.tqdm(*lowercase     ,       **lowercase       )
           else:
               return EmptyTqdm(*lowercase     ,       **lowercase       )
       def 					A   (			self		:			Tuple     ,       *lowercase		:			Tuple     ,       **lowercase		:			Optional[int]       ):



           '''simple docstring'''

           UpperCAmelCase     =	None
           if _tqdm_active:
               return tqdm_lib.tqdm.set_lock(*lowercase     ,       **lowercase       )







       def 					A   (			self		:			int       ):



           '''simple docstring'''

           if _tqdm_active:
               return tqdm_lib.tqdm.get_lock()






A									=_tqdm_cls()





def 		snake_case_							():
    global _tqdm_active
    return bool(_tqdm_active  )





def 		snake_case_							():
    global _tqdm_active
    UpperCAmelCase     =	True







def 		snake_case_							():
    global _tqdm_active
    UpperCAmelCase     =	False










'''simple docstring'''







from typing import Union

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
   from PIL import Image

   from ..image_utils import load_image

if is_torch_available():
   from ..models.auto.modeling_auto import MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING

A									=logging.get_logger(__name__)


@add_end_docstrings(__a				)
class     _a						(			__a				):
       def __init__(			self		:			Optional[int]     ,       *lowercase		:			Any     ,       **lowercase		:			Optional[int]       ):



           '''simple docstring'''

           super().__init__(*lowercase     ,       **lowercase       )
           self.check_model_type(lowercase       )
       def 					A   (			self		:			List[str]     ,       lowercase		:			str=None     ,       lowercase		:			List[str]=None     ,       lowercase		:			List[str]=None     ,       **lowercase		:			List[str]       ):



           '''simple docstring'''

           UpperCAmelCase ,  UpperCAmelCase     =	{}, {}
           if padding is not None:
               UpperCAmelCase     =	padding
           if truncation is not None:
               UpperCAmelCase     =	truncation
           if top_k is not None:
               UpperCAmelCase     =	top_k
           return preprocess_params, {}, postprocess_params
       def __call__(			self		:			Optional[Any]     ,       lowercase		:			Union["Image.Image", str]     ,       lowercase		:			str = None     ,       **lowercase		:			Optional[int]       ):



           '''simple docstring'''

           if isinstance(lowercase     ,       (Image.Image, str)       ) and isinstance(lowercase     ,       lowercase       ):
               UpperCAmelCase     =	{'''image''': image, '''question''': question}
           else:
               UpperCAmelCase     =	image
           UpperCAmelCase     =	super().__call__(lowercase     ,       **lowercase       )
           return results
       def 					A   (			self		:			List[Any]     ,       lowercase		:			List[str]     ,       lowercase		:			Any=False     ,       lowercase		:			Any=False       ):



           '''simple docstring'''

           UpperCAmelCase     =	load_image(inputs['''image''']       )
           UpperCAmelCase     =	self.tokenizer(
               inputs['''question''']     ,       return_tensors=self.framework     ,       padding=lowercase     ,       truncation=lowercase       )
           UpperCAmelCase     =	self.image_processor(images=lowercase     ,       return_tensors=self.framework       )
           model_inputs.update(lowercase       )
           return model_inputs
       def 					A   (			self		:			Dict     ,       lowercase		:			Optional[Any]       ):



           '''simple docstring'''

           UpperCAmelCase     =	self.model(**lowercase       )
           return model_outputs







       def 					A   (			self		:			Union[str, Any]     ,       lowercase		:			int     ,       lowercase		:			Optional[Any]=5       ):



           '''simple docstring'''

           if top_k > self.model.config.num_labels:
               UpperCAmelCase     =	self.model.config.num_labels

           if self.framework == "pt":
               UpperCAmelCase     =	model_outputs.logits.sigmoid()[0]
               UpperCAmelCase ,  UpperCAmelCase     =	probs.topk(lowercase       )
           else:
               raise ValueError(f"Unsupported framework: {self.framework}"       )

           UpperCAmelCase     =	scores.tolist()
           UpperCAmelCase     =	ids.tolist()
           return [{"score": score, "answer": self.model.config.idalabel[_id]} for score, _id in zip(lowercase     ,       lowercase       )]




