Add files using upload-large-folder tool

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# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Image/Text processor class for CLIP
"""

import warnings

from ...processing_utils import ProcessorMixin


class CLIPProcessor(ProcessorMixin):
    r"""
    Constructs a CLIP processor which wraps a CLIP image processor and a CLIP tokenizer into a single processor.
    [`CLIPProcessor`] offers all the functionalities of [`CLIPImageProcessor`] and [`CLIPTokenizerFast`]. See the
    [`~CLIPProcessor.__call__`] and [`~CLIPProcessor.decode`] for more information.
    Args:
        image_processor ([`CLIPImageProcessor`], *optional*):
            The image processor is a required input.
        tokenizer ([`AutoTokenizer`], *optional*):
            The tokenizer is a required input.
    """

    attributes = ["image_processor", "tokenizer"]
    image_processor_class = ("CLIPImageProcessor", "CLIPImageProcessorFast")
    tokenizer_class = "AutoTokenizer"

    def __init__(self, image_processor=None, tokenizer=None, **kwargs):
        feature_extractor = None
        if "feature_extractor" in kwargs:
            warnings.warn(
                "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
                " instead.",
                FutureWarning,
            )
            feature_extractor = kwargs.pop("feature_extractor")

        image_processor = image_processor if image_processor is not None else feature_extractor

        super().__init__(image_processor, tokenizer)

    @property
    def feature_extractor_class(self):
        warnings.warn(
            "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.",
            FutureWarning,
        )
        return self.image_processor_class

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


__all__ = ["CLIPProcessor"]

	# coding=utf-8
	# Copyright 2021 The HuggingFace Inc. team.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
	# See the License for the specific language governing permissions and
	# limitations under the License.
	"""
	Image/Text processor class for CLIP
	"""

	import warnings

	from ...processing_utils import ProcessorMixin


	class CLIPProcessor(ProcessorMixin):
	r"""
	Constructs a CLIP processor which wraps a CLIP image processor and a CLIP tokenizer into a single processor.

	[`CLIPProcessor`] offers all the functionalities of [`CLIPImageProcessor`] and [`CLIPTokenizerFast`]. See the
	[`~CLIPProcessor.__call__`] and [`~CLIPProcessor.decode`] for more information.

	Args:
	image_processor ([`CLIPImageProcessor`], optional):
	The image processor is a required input.
	tokenizer ([`AutoTokenizer`], optional):
	The tokenizer is a required input.
	"""

	attributes = ["image_processor", "tokenizer"]
	image_processor_class = ("CLIPImageProcessor", "CLIPImageProcessorFast")
	tokenizer_class = "AutoTokenizer"

	def __init__(self, image_processor=None, tokenizer=None, **kwargs):
	feature_extractor = None
	if "feature_extractor" in kwargs:
	warnings.warn(
	"The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
	" instead.",
	FutureWarning,
	)
	feature_extractor = kwargs.pop("feature_extractor")

	image_processor = image_processor if image_processor is not None else feature_extractor

	super().__init__(image_processor, tokenizer)

	@property
	def feature_extractor_class(self):
	warnings.warn(
	"`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.",
	FutureWarning,
	)
	return self.image_processor_class

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


	__all__ = ["CLIPProcessor"]