import warnings

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



class     _A   (    __UpperCamelCase							):
  SCREAMING_SNAKE_CASE_	:	Union[str, Any]						=["image_processor", "tokenizer"]
  SCREAMING_SNAKE_CASE_	:	Union[str, Any]						="ChineseCLIPImageProcessor"
  SCREAMING_SNAKE_CASE_	:	List[str]						=("BertTokenizer", "BertTokenizerFast")






  def __init__(self   ,				SCREAMING_SNAKE_CASE_=None   ,				SCREAMING_SNAKE_CASE_=None   ,				**SCREAMING_SNAKE_CASE_	)		->      Tuple:





       '''simple docstring'''





       UpperCamelCase__										=      None
       if "feature_extractor" in kwargs:
            warnings.warn(
                '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
                ''' instead.'''   ,				SCREAMING_SNAKE_CASE_   ,				)
            UpperCamelCase__										=      kwargs.pop('''feature_extractor'''	)

       UpperCamelCase__										=      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__(SCREAMING_SNAKE_CASE_   ,				SCREAMING_SNAKE_CASE_	)
       UpperCamelCase__										=      self.image_processor






  def __call__(self   ,				SCREAMING_SNAKE_CASE_=None   ,				SCREAMING_SNAKE_CASE_=None   ,				SCREAMING_SNAKE_CASE_=None   ,				**SCREAMING_SNAKE_CASE_	)		->      Any:





       '''simple docstring'''





       if text is None and images is None:
            raise ValueError('''You have to specify either text or images. Both cannot be none.'''	)

       if text is not None:
            UpperCamelCase__										=      self.tokenizer(SCREAMING_SNAKE_CASE_   ,				return_tensors=SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_	)

       if images is not None:
            UpperCamelCase__										=      self.image_processor(SCREAMING_SNAKE_CASE_   ,				return_tensors=SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_	)

       if text is not None and images is not None:
            UpperCamelCase__										=      image_features.pixel_values
            return encoding
       elif text is not None:
            return encoding
       else:
            return BatchEncoding(data=dict(**SCREAMING_SNAKE_CASE_	)   ,				tensor_type=SCREAMING_SNAKE_CASE_	)






  def 		_a					(self   ,				*SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_	)		->      Dict:





       '''simple docstring'''





       return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_	)






  def 		_a					(self   ,				*SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_	)		->      List[str]:





       '''simple docstring'''





       return self.tokenizer.decode(*SCREAMING_SNAKE_CASE_   ,				**SCREAMING_SNAKE_CASE_	)






  @property
  def 		_a					(self	)		->      List[Any]:





       '''simple docstring'''





       UpperCamelCase__										=      self.tokenizer.model_input_names
       UpperCamelCase__										=      self.image_processor.model_input_names
       return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names	)	)






  @property
  def 		_a					(self	)		->      Any:





       '''simple docstring'''





       warnings.warn(
           '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''   ,				SCREAMING_SNAKE_CASE_   ,				)
       return self.image_processor_class




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

__magic_name__								='''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

__magic_name__								=concatenate_datasets
__magic_name__								=DownloadConfig
__magic_name__								=DownloadManager
__magic_name__								=DownloadMode
__magic_name__								=DownloadConfig
__magic_name__								=DownloadMode
__magic_name__								=DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager



