
"""simple docstring"""






from __future__ import annotations

from typing import Any




def       A_  (				__lowercase	):
 create_state_space_tree(__lowercase						,	[]						,	0	)




def       A_  (				__lowercase						,	__lowercase						,	__lowercase	):

 if index == len(__lowercase	):
  print(__lowercase	)
  return

 create_state_space_tree(__lowercase						,	__lowercase						,	index + 1	)
 current_subsequence.append(sequence[index]	)
 create_state_space_tree(__lowercase						,	__lowercase						,	index + 1	)
 current_subsequence.pop()


if __name__ == "__main__":
 __SCREAMING_SNAKE_CASE							=     [3, 1, 2, 4]
 generate_all_subsequences(seq)

 seq.clear()
 seq.extend(['A', 'B', 'C'])
 generate_all_subsequences(seq)


"""simple docstring"""






from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__SCREAMING_SNAKE_CASE							=     {
    'configuration_mctct': ['MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MCTCTConfig'],
    'feature_extraction_mctct': ['MCTCTFeatureExtractor'],
    'processing_mctct': ['MCTCTProcessor'],
}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __SCREAMING_SNAKE_CASE							=     [
     'MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST',
     'MCTCTForCTC',
     'MCTCTModel',
     'MCTCTPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
 from .feature_extraction_mctct import MCTCTFeatureExtractor
 from .processing_mctct import MCTCTProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
 import sys

 __SCREAMING_SNAKE_CASE							=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
