import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			Tuple              =      'Speech2TextFeatureExtractor'
   __UpperCAmelCase			:			List[str]              =      'Speech2TextTokenizer'


   def __init__(self					:						Optional[Any]	,  __UpperCAmelCase					:						str	,  __UpperCAmelCase					:						List[str]		)						->    int:
         """simple docstring"""



         super().__init__(__UpperCAmelCase	,  __UpperCAmelCase		)
         UpperCAmelCase__								=  self.feature_extractor
         UpperCAmelCase__								=  False


   def __call__(self					:						str	,  *__UpperCAmelCase					:						Union[str, Any]	,  **__UpperCAmelCase					:						List[str]		)						->    List[Any]:
         """simple docstring"""



         if self._in_target_context_manager:
               return self.current_processor(*__UpperCAmelCase	,  **__UpperCAmelCase		)

         if "raw_speech" in kwargs:
               warnings.warn("Using `raw_speech` as a keyword argument is deprecated. Use `audio` instead."		)
               UpperCAmelCase__								=  kwargs.pop("raw_speech"		)
         else:
               UpperCAmelCase__								=  kwargs.pop("audio"	,  __UpperCAmelCase		)
         UpperCAmelCase__								=  kwargs.pop("sampling_rate"	,  __UpperCAmelCase		)
         UpperCAmelCase__								=  kwargs.pop("text"	,  __UpperCAmelCase		)
         if len(__UpperCAmelCase		) > 0:
               UpperCAmelCase__								=  args[0]
               UpperCAmelCase__								=  args[1:]

         if audio is None and text is None:
               raise ValueError("You need to specify either an `audio` or `text` input to process."		)

         if audio is not None:
               UpperCAmelCase__								=  self.feature_extractor(__UpperCAmelCase	,  *__UpperCAmelCase	,  sampling_rate=__UpperCAmelCase	,  **__UpperCAmelCase		)
         if text is not None:
               UpperCAmelCase__								=  self.tokenizer(__UpperCAmelCase	,  **__UpperCAmelCase		)

         if text is None:
               return inputs
         elif audio is None:
               return encodings
         else:
               UpperCAmelCase__								=  encodings["input_ids"]
               return inputs


   def       lowercase_				(self					:						int	,  *__UpperCAmelCase					:						Dict	,  **__UpperCAmelCase					:						Optional[Any]		)						->    int:
         """simple docstring"""



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


   def       lowercase_				(self					:						Dict	,  *__UpperCAmelCase					:						Tuple	,  **__UpperCAmelCase					:						Any		)						->    Any:
         """simple docstring"""



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





   @contextmanager
   def       lowercase_				(self					:						Any		)						->    Tuple:
         """simple docstring"""



         warnings.warn(
             "`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your "
             "labels by using the argument `text` of the regular `__call__` method (either in the same call as "
             "your audio inputs, or in a separate call."		)
         UpperCAmelCase__								=  True
         UpperCAmelCase__								=  self.tokenizer
         yield
         UpperCAmelCase__								=  self.feature_extractor
         UpperCAmelCase__								=  False




# 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.

import argparse

from .config import config_command_parser
from .config_args import default_config_file, load_config_from_file  # noqa: F401
from .default import default_command_parser
from .update import update_command_parser




def        lowerCAmelCase_			(					__A=None							)					->    str:







      '''simple docstring'''


      UpperCAmelCase__								=  argparse.ArgumentParser(add_help=__A,  allow_abbrev=__A							)
      # The main config parser
      UpperCAmelCase__								=  config_command_parser(__A							)
      # The subparser to add commands to
      UpperCAmelCase__								=  config_parser.add_subparsers(title="subcommands",  dest="subcommand"							)

      # Then add other parsers with the parent parser
      default_command_parser(__A,  parents=[parent_parser]							)
      update_command_parser(__A,  parents=[parent_parser]							)

      return config_parser




def        lowerCAmelCase_			(					)					->    Any:







      '''simple docstring'''


      UpperCAmelCase__								=  get_config_parser()
      UpperCAmelCase__								=  config_parser.parse_args()

      if not hasattr(__A,  "func"							):
            config_parser.print_help()
            exit(1							)

      # Run
      args.func(__A							)


if __name__ == "__main__":
      main()



