


import warnings

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


class     __UpperCAmelCase							(       __A							):


     """simple docstring"""
     _lowerCamelCase   =      ["""image_processor""", """tokenizer"""]
     _lowerCamelCase   =      """ViTImageProcessor"""
     _lowerCamelCase   =      ("""CLIPTokenizer""", """CLIPTokenizerFast""")


     def __init__(	self  ,       __A=None  ,       __A=None  ,       **__A    ):
        __a					=  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  ,       )
           __a					=  kwargs.pop("""feature_extractor"""    )

        __a					=  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  ,       __A=None  ,       __A=None  ,       __A=None  ,       __A=None  ,       **__A    ):
        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:
           __a					=  self.tokenizer(__A  ,       return_tensors=__A  ,       **__A    )

        if visual_prompt is not None:
           __a					=  self.image_processor(__A  ,       return_tensors=__A  ,       **__A    )

        if images is not None:
           __a					=  self.image_processor(__A  ,       return_tensors=__A  ,       **__A    )

        if visual_prompt is not None and images is not None:
           __a					=  {
               """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:
           __a					=  image_features.pixel_values
           return encoding
        elif text is not None:
           return encoding
        elif visual_prompt is not None:
           __a					=  {
               """conditional_pixel_values""": prompt_features.pixel_values,
           }
           return encoding
        else:
           return BatchEncoding(data=dict(**__A    )  ,       tensor_type=__A    )


     def 	snake_case_  (	self  ,       *__A  ,       **__A    ):
        return self.tokenizer.batch_decode(*__A  ,       **__A    )


     def 	snake_case_  (	self  ,       *__A  ,       **__A    ):
        return self.tokenizer.decode(*__A  ,       **__A    )


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







import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


SCREAMING_SNAKE_CASE							    =							importlib.util.find_spec('s3fs') is not None

if _has_safs:
  from .safilesystem import SaFileSystem  # noqa: F401

SCREAMING_SNAKE_CASE							    =							[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
  if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
    warnings.warn(f'''A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.''')
  fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)




def  a   (lowerCAmelCase__   ):
   if "://" in dataset_path:
      __a					=  dataset_path.split("""://"""   )[1]
   return dataset_path




def  a   (lowerCAmelCase__   ):
   if fs is not None and fs.protocol != "file":
      return True
   else:
      return False




def  a   (lowerCAmelCase__		,				lowerCAmelCase__		,				lowerCAmelCase__   ):
   __a					=  not is_remote_filesystem(lowerCAmelCase__   )
   if is_local:
      # LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
      shutil.move(fs._strip_protocol(lowerCAmelCase__   )		,				fs._strip_protocol(lowerCAmelCase__   )   )
   else:
      fs.mv(lowerCAmelCase__		,				lowerCAmelCase__		,				recursive=lowerCAmelCase__   )




def  a   ():
   if hasattr(fsspec.asyn		,				"""reset_lock"""   ):
      # for future fsspec>2022.05.0
      fsspec.asyn.reset_lock()
   else:
      __a					=  None
      __a					=  None
      __a					=  threading.Lock()



