

"""simple docstring"""





import argparse
import os

from accelerate.test_utils import execute_subprocess_async




def   _A  (  UpperCamelCase_					:	Dict=None)     ->						int:
   '''simple docstring'''


   if subparsers is not None:
      __lowercase								=						subparsers.add_parser("test")
   else:
      __lowercase								=						argparse.ArgumentParser("Accelerate test command")

   parser.add_argument(
       "--config_file",      default=UpperCamelCase_,      help=(
           "The path to use to store the config file. Will default to a file named default_config.yaml in the cache "
           "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
           "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
           "with 'huggingface'."
       ),      )

   if subparsers is not None:
      parser.set_defaults(func=UpperCamelCase_)
   return parser




def   _A  (  UpperCamelCase_					:	Any)     ->						str:
   '''simple docstring'''


   __lowercase								=						os.path.sep.join(__file__.split(os.path.sep)[:-2] + ["test_utils", "scripts", "test_script.py"])

   if args.config_file is None:
      __lowercase								=						script_name
   else:
      __lowercase								=						F"""--config_file={args.config_file} {script_name}"""

   __lowercase								=						["accelerate-launch"] + test_args.split()
   __lowercase								=						execute_subprocess_async(UpperCamelCase_,      env=os.environ.copy())
   if result.returncode == 0:
      print("Test is a success! You are ready for your distributed training!")




def   _A  (  )     ->						List[Any]:
   '''simple docstring'''


   __lowercase								=						test_command_parser()
   __lowercase								=						parser.parse_args()
   test_command(UpperCamelCase_)


if __name__ == "__main__":
   main()







"""simple docstring"""





from ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
   from .notes_encoder import SpectrogramNotesEncoder
   from .continous_encoder import SpectrogramContEncoder
   from .pipeline_spectrogram_diffusion import (
       SpectrogramContEncoder,
       SpectrogramDiffusionPipeline,
       TaFilmDecoder,
   )

try:
   if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
   from .midi_utils import MidiProcessor




