Add files using upload-large-folder tool

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# coding=utf-8
# Copyright 2023 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.
"""
Processor class for Bros.
"""

from ...processing_utils import ProcessingKwargs, ProcessorMixin


class BrosProcessorKwargs(ProcessingKwargs, total=False):
    _defaults = {
        "text_kwargs": {
            "add_special_tokens": True,
            "padding": False,
            "stride": 0,
            "return_overflowing_tokens": False,
            "return_special_tokens_mask": False,
            "return_offsets_mapping": False,
            "return_length": False,
            "verbose": True,
        },
    }


class BrosProcessor(ProcessorMixin):
    r"""
    Constructs a Bros processor which wraps a BERT tokenizer.
    [`BrosProcessor`] offers all the functionalities of [`BertTokenizerFast`]. See the docstring of
    [`~BrosProcessor.__call__`] and [`~BrosProcessor.decode`] for more information.
    Args:
        tokenizer (`BertTokenizerFast`, *optional*):
            An instance of ['BertTokenizerFast`]. The tokenizer is a required input.
    """

    attributes = ["tokenizer"]
    tokenizer_class = ("BertTokenizer", "BertTokenizerFast")
    valid_processor_kwargs = BrosProcessorKwargs

    def __init__(self, tokenizer=None, **kwargs):
        if tokenizer is None:
            raise ValueError("You need to specify a `tokenizer`.")

        super().__init__(tokenizer)


__all__ = ["BrosProcessor"]

	# coding=utf-8
	# Copyright 2023 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.
	"""
	Processor class for Bros.
	"""

	from ...processing_utils import ProcessingKwargs, ProcessorMixin


	class BrosProcessorKwargs(ProcessingKwargs, total=False):
	_defaults = {
	"text_kwargs": {
	"add_special_tokens": True,
	"padding": False,
	"stride": 0,
	"return_overflowing_tokens": False,
	"return_special_tokens_mask": False,
	"return_offsets_mapping": False,
	"return_length": False,
	"verbose": True,
	},
	}


	class BrosProcessor(ProcessorMixin):
	r"""
	Constructs a Bros processor which wraps a BERT tokenizer.

	[`BrosProcessor`] offers all the functionalities of [`BertTokenizerFast`]. See the docstring of
	[`~BrosProcessor.__call__`] and [`~BrosProcessor.decode`] for more information.

	Args:
	tokenizer (`BertTokenizerFast`, optional):
	An instance of ['BertTokenizerFast`]. The tokenizer is a required input.
	"""

	attributes = ["tokenizer"]
	tokenizer_class = ("BertTokenizer", "BertTokenizerFast")
	valid_processor_kwargs = BrosProcessorKwargs

	def __init__(self, tokenizer=None, **kwargs):
	if tokenizer is None:
	raise ValueError("You need to specify a `tokenizer`.")

	super().__init__(tokenizer)


	__all__ = ["BrosProcessor"]