


'''simple docstring'''

from __future__ import annotations

from typing import Any





def lowerCamelCase      (      lowerCAmelCase    :     list[Any]		):





 """simple docstring"""







 create_state_space_tree(lowerCAmelCase		,		[]		,		0		)





def lowerCamelCase      (      lowerCAmelCase    :     list[Any]		,		lowerCAmelCase    :     list[Any]		,		lowerCAmelCase    :     int		):





 """simple docstring"""







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

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


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

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



'''simple docstring'''

lowerCAmelCase				:Union[str, Any]        =      '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowerCAmelCase				:Union[str, Any]        =      [{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowerCAmelCase				:Tuple        =      {
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}