"""simple docstring"""






from __future__ import annotations

from typing import Any




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   None:
				create_state_space_tree(__UpperCAmelCase  ,					[]  ,					0       )




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase       )							->   None:

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

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


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

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





"""simple docstring"""






import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


_A   					=    HUGGINGFACE_HUB_CACHE


_A   					=    'config.json'
_A   					=    'diffusion_pytorch_model.bin'
_A   					=    'diffusion_flax_model.msgpack'
_A   					=    'model.onnx'
_A   					=    'diffusion_pytorch_model.safetensors'
_A   					=    'weights.pb'
_A   					=    'https://huggingface.co'
_A   					=    default_cache_path
_A   					=    'diffusers_modules'
_A   					=    os.getenv('HF_MODULES_CACHE', os.path.join(hf_cache_home, 'modules'))
_A   					=    ['fp16', 'non-ema']
_A   					=    '.self_attn'




