






import warnings

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



class 							SCREAMING_SNAKE_CASE__		(       UpperCamelCase_		):





					"""simple docstring"""






					a_			=	["image_processor", "tokenizer"]
					a_			=	"ViTImageProcessor"
					a_			=	("CLIPTokenizer", "CLIPTokenizerFast")



					def __init__(      self  :						Tuple							,	__A  :						str=None							,	__A  :						Optional[int]=None							,	**__A  :						Tuple ):
						snake_case__				:   List[Any]     =						None
						if "feature_extractor" in kwargs:
							warnings.warn(
							    "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
							    " instead."							,	__A							,	)
							snake_case__				:   Union[str, Any]     =						kwargs.pop("feature_extractor" )

						snake_case__				:   str     =						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__(__A							,	__A )



					def __call__(      self  :						Any							,	__A  :						Union[str, Any]=None							,	__A  :						Dict=None							,	__A  :						List[Any]=None							,	__A  :						List[Any]=None							,	**__A  :						Tuple ):
						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:
							snake_case__				:   str     =						self.tokenizer(__A							,	return_tensors=__A							,	**__A )

						if visual_prompt is not None:
							snake_case__				:   List[str]     =						self.image_processor(__A							,	return_tensors=__A							,	**__A )

						if images is not None:
							snake_case__				:   Optional[int]     =						self.image_processor(__A							,	return_tensors=__A							,	**__A )

						if visual_prompt is not None and images is not None:
							snake_case__				:   Union[str, 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:
							snake_case__				:   Any     =						image_features.pixel_values
							return encoding
						elif text is not None:
							return encoding
						elif visual_prompt is not None:
							snake_case__				:   Optional[Any]     =						{
							    "conditional_pixel_values": prompt_features.pixel_values,
							}
							return encoding
						else:
							return BatchEncoding(data=dict(**__A )							,	tensor_type=__A )



					def  _lowercase  (      self  :						Optional[int]							,	*__A  :						str							,	**__A  :						Tuple ):
						return self.tokenizer.batch_decode(*__A							,	**__A )



					def  _lowercase  (      self  :						List[str]							,	*__A  :						Optional[Any]							,	**__A  :						Union[str, Any] ):
						return self.tokenizer.decode(*__A							,	**__A )



					@property
					def  _lowercase  (      self  :						Optional[Any] ):
						warnings.warn(
						    "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."							,	__A							,	)
						return self.image_processor_class






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











# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

__lowerCamelCase      :    Union[str, Any]   		=   """2.13.1"""

import platform

import pyarrow
from packaging import version


if version.parse(platform.python_version()) < version.parse("""3.7"""):
	raise ImportWarning(
	    """To use `datasets`, Python>=3.7 is required, and the current version of Python doesn't match this condition."""
	)

if version.parse(pyarrow.__version__).major < 8:
	raise ImportWarning(
	    """To use `datasets`, the module `pyarrow>=8.0.0` is required, and the current version of `pyarrow` doesn't match this condition.\n"""
	    """If you are running this in a Google Colab, you should probably just restart the runtime to use the right version of `pyarrow`."""
	)

del platform
del pyarrow
del version

from .arrow_dataset import Dataset
from .arrow_reader import ReadInstruction
from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
from .combine import concatenate_datasets, interleave_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .download import *
from .features import *
from .fingerprint import disable_caching, enable_caching, is_caching_enabled, set_caching_enabled
from .info import DatasetInfo, MetricInfo
from .inspect import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
    list_datasets,
    list_metrics,
)
from .iterable_dataset import IterableDataset
from .load import load_dataset, load_dataset_builder, load_from_disk, load_metric
from .metric import Metric
from .splits import (
    NamedSplit,
    NamedSplitAll,
    Split,
    SplitBase,
    SplitDict,
    SplitGenerator,
    SplitInfo,
    SubSplitInfo,
    percent,
)
from .tasks import *
from .utils import *
from .utils import logging


# deprecated modules
from datasets import arrow_dataset as _arrow_dataset  # isort:skip
from datasets import utils as _utils  # isort:skip
from datasets.utils import download_manager as _deprecated_download_manager  # isort:skip

__lowerCamelCase      :    List[Any]   		=   concatenate_datasets
__lowerCamelCase      :    List[str]   		=   DownloadConfig
__lowerCamelCase      :    Union[str, Any]   		=   DownloadManager
__lowerCamelCase      :    str   		=   DownloadMode
__lowerCamelCase      :    Union[str, Any]   		=   DownloadConfig
__lowerCamelCase      :    List[str]   		=   DownloadMode
__lowerCamelCase      :    Dict   		=   DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager



