
def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):







      if len(UpperCamelCase__		) <= 1:
            return [tuple(UpperCamelCase__		)]

      UpperCamelCase__    :   List[str]					=				[]

      def generate(UpperCamelCase__ ,		UpperCamelCase__		):
            if k == 1:
                  res.append(tuple(arr[:]		)		)
                  return

            generate(k - 1 ,		UpperCamelCase__		)

            for i in range(k - 1		):
                  if k % 2 == 0:  # k is even
                        UpperCamelCase__    :   Tuple					=				arr[k - 1], arr[i]
                  else:  # k is odd
                        UpperCamelCase__    :   int					=				arr[k - 1], arr[0]
                  generate(k - 1 ,		UpperCamelCase__		)

      generate(len(UpperCamelCase__		) ,		UpperCamelCase__		)
      return res


if __name__ == "__main__":
    lowerCamelCase      =input("Enter numbers separated by a comma:\n").strip()
    lowerCamelCase      =[int(item) for item in user_input.split(",")]
    print(heaps(arr))




lowerCamelCase      ={
    "Pillow": "Pillow",
    "accelerate": "accelerate>=0.11.0",
    "compel": "compel==0.1.8",
    "black": "black~=23.1",
    "datasets": "datasets",
    "filelock": "filelock",
    "flax": "flax>=0.4.1",
    "hf-doc-builder": "hf-doc-builder>=0.3.0",
    "huggingface-hub": "huggingface-hub>=0.13.2",
    "requests-mock": "requests-mock==1.10.0",
    "importlib_metadata": "importlib_metadata",
    "invisible-watermark": "invisible-watermark",
    "isort": "isort>=5.5.4",
    "jax": "jax>=0.2.8,!=0.3.2",
    "jaxlib": "jaxlib>=0.1.65",
    "Jinja2": "Jinja2",
    "k-diffusion": "k-diffusion>=0.0.12",
    "torchsde": "torchsde",
    "note_seq": "note_seq",
    "librosa": "librosa",
    "numpy": "numpy",
    "omegaconf": "omegaconf",
    "parameterized": "parameterized",
    "protobuf": "protobuf>=3.20.3,<4",
    "pytest": "pytest",
    "pytest-timeout": "pytest-timeout",
    "pytest-xdist": "pytest-xdist",
    "ruff": "ruff>=0.0.241",
    "safetensors": "safetensors",
    "sentencepiece": "sentencepiece>=0.1.91,!=0.1.92",
    "scipy": "scipy",
    "onnx": "onnx",
    "regex": "regex!=2019.12.17",
    "requests": "requests",
    "tensorboard": "tensorboard",
    "torch": "torch>=1.4",
    "torchvision": "torchvision",
    "transformers": "transformers>=4.25.1",
    "urllib3": "urllib3<=2.0.0",
}


