import warnings
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType





class 				_A		( lowercase_			):
      snake_case__    :     Optional[int]													=			['image_processor', 'tokenizer']
      snake_case__    :     Union[str, Any]													=			'ViltImageProcessor'
      snake_case__    :     Dict													=			('BertTokenizer', 'BertTokenizerFast')

      def __init__(		self	, __lowerCAmelCase=None	, __lowerCAmelCase=None	, **__lowerCAmelCase		):







            """simple docstring"""



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

            lowercase														=			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__(lowerCamelCase_	, lowerCamelCase_		)
            lowercase														=			self.image_processor

      def __call__(		self	, __lowerCAmelCase	, __lowerCAmelCase = None	, __lowerCAmelCase = True	, __lowerCAmelCase = False	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = 0	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = False	, __lowerCAmelCase = False	, __lowerCAmelCase = False	, __lowerCAmelCase = False	, __lowerCAmelCase = True	, __lowerCAmelCase = None	, **__lowerCAmelCase	, ):







            """simple docstring"""



            lowercase														=			self.tokenizer(
                text=lowerCamelCase_	, add_special_tokens=lowerCamelCase_	, padding=lowerCamelCase_	, truncation=lowerCamelCase_	, max_length=lowerCamelCase_	, stride=lowerCamelCase_	, pad_to_multiple_of=lowerCamelCase_	, return_token_type_ids=lowerCamelCase_	, return_attention_mask=lowerCamelCase_	, return_overflowing_tokens=lowerCamelCase_	, return_special_tokens_mask=lowerCamelCase_	, return_offsets_mapping=lowerCamelCase_	, return_length=lowerCamelCase_	, verbose=lowerCamelCase_	, return_tensors=lowerCamelCase_	, **lowerCamelCase_	, )
            # add pixel_values + pixel_mask
            lowercase														=			self.image_processor(lowerCamelCase_	, return_tensors=lowerCamelCase_		)
            encoding.update(lowerCamelCase_		)

            return encoding

      def        A__ (		self	, *__lowerCAmelCase	, **__lowerCAmelCase		):







            """simple docstring"""



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

      def        A__ (		self	, *__lowerCAmelCase	, **__lowerCAmelCase		):







            """simple docstring"""



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

      @property
      def        A__ (		self		):







            """simple docstring"""



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

      @property
      def        A__ (		self		):







            """simple docstring"""



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







      @property
      def        A__ (		self		):







            """simple docstring"""



            warnings.warn(
                """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""	, lowerCamelCase_	, )
            return self.image_processor




"""simple docstring"""






# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# 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.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser


def     UpperCAmelCase__ (       )				->					Tuple:
      '''simple docstring'''


      lowercase														=			ArgumentParser("""Accelerate CLI tool"""      ,	usage="""accelerate <command> [<args>]"""      ,	allow_abbrev=lowerCAmelCase__	)
      lowercase														=			parser.add_subparsers(help="""accelerate command helpers"""	)

      # Register commands
      get_config_parser(subparsers=lowerCAmelCase__	)
      env_command_parser(subparsers=lowerCAmelCase__	)
      launch_command_parser(subparsers=lowerCAmelCase__	)
      tpu_command_parser(subparsers=lowerCAmelCase__	)
      test_command_parser(subparsers=lowerCAmelCase__	)

      # Let's go
      lowercase														=			parser.parse_args()

      if not hasattr(lowerCAmelCase__      ,	"""func"""	):
            parser.print_help()
            exit(1	)

      # Run
      args.func(lowerCAmelCase__	)


if __name__ == "__main__":
       main()



