"""simple docstring"""




import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class     UpperCamelCase__(			__A ):
						lowerCAmelCase__  :						List[Any]													=		['image_processor', 'tokenizer']
						lowerCAmelCase__  :						str													=		'ViTImageProcessor'
						lowerCAmelCase__  :						str													=		('CLIPTokenizer', 'CLIPTokenizerFast')





						def __init__(       self		,__UpperCAmelCase=None		,__UpperCAmelCase=None		,**__UpperCAmelCase     )					->				Dict:
													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.'		,__UpperCAmelCase		,)
																				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__(__UpperCAmelCase		,__UpperCAmelCase     )





						def __call__(       self		,__UpperCAmelCase=None		,__UpperCAmelCase=None		,__UpperCAmelCase=None		,__UpperCAmelCase=None		,**__UpperCAmelCase     )					->				Optional[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:
																				A__	     =							self.tokenizer(__UpperCAmelCase		,return_tensors=__UpperCAmelCase		,**__UpperCAmelCase     )

													if visual_prompt is not None:
																				A__	     =							self.image_processor(__UpperCAmelCase		,return_tensors=__UpperCAmelCase		,**__UpperCAmelCase     )

													if images is not None:
																				A__	     =							self.image_processor(__UpperCAmelCase		,return_tensors=__UpperCAmelCase		,**__UpperCAmelCase     )

													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(**__UpperCAmelCase     )		,tensor_type=__UpperCAmelCase     )





						def 				snake_case__	(       self		,*__UpperCAmelCase		,**__UpperCAmelCase     )					->				Union[str, Any]:
													return self.tokenizer.batch_decode(*__UpperCAmelCase		,**__UpperCAmelCase     )





						def 				snake_case__	(       self		,*__UpperCAmelCase		,**__UpperCAmelCase     )					->				List[Any]:
													return self.tokenizer.decode(*__UpperCAmelCase		,**__UpperCAmelCase     )





						@property
						def 				snake_case__	(       self     )					->				int:
													warnings.warn(
													    '`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'		,__UpperCAmelCase		,)
													return self.image_processor_class





						@property
						def 				snake_case__	(       self     )					->				Optional[int]:
													warnings.warn(
													    '`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'		,__UpperCAmelCase		,)
													return self.image_processor






"""simple docstring"""




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

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


__lowerCamelCase											=  importlib.util.find_spec("s3fs") is not None

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

__lowerCamelCase											=  [
    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   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							if "://" in dataset_path:
														A__	     =							dataset_path.split('://'				)[1]
							return dataset_path






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							if fs is not None and fs.protocol != "file":
														return True
							else:
														return False






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





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






def   UpperCAmelCase					(	):






							"""simple docstring"""





							if hasattr(fsspec.asyn       ,    'reset_lock'				):
														# for future fsspec>2022.05.0
														fsspec.asyn.reset_lock()
							else:
														A__	     =							None
														A__	     =							None
														A__	     =							threading.Lock()





