code: def _astuple(x):
      """Attempt to convert the given argument to be a Python tuple."""
      # Numpy used to allow casting a size-1 ndarray to python scalar literal types.
      # In version 1.25 this was deprecated, causing a warning to be issued in the
      # below try/except. To avoid that, we just fall through in the case of an
      # np.ndarray.
      if not isinstance(x, onp.ndarray):
          try:
              return (int(x),)
          except TypeError:
              pass
  
      try:
          return tuple(x)
      except TypeError:
          pass
  
      # If `x` is a scalar array, then the above call `tuple(x)` will have failed,
      # because scalar arrays do not support iteration in NumPy or JAX.
      if (
          getattr(x, "shape", None) == ()
      ):  # pylint: disable=g-explicit-bool-comparison
          try:
              return tuple(x[np.newaxis])
          except TypeError:
              pass
  
      return x
  
imports: import collections
  import functools
  import numpy
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import _utils
  from tensorflow_probability.python.internal.backend.numpy.numpy_array import _reverse
  from tensorflow_probability.python.internal.backend.numpy.numpy_array import one_hot
  from tensorflow_probability.python.internal.backend.numpy.ops import _convert_to_tensor
label_desc: Use image node_id 1 for calling a global function with example usage: _astuple(x) and returns: x, tuple, int, tuple