code: def nansum(
      x: np.ndarray,
      /,
      *,
      axis: Optional[Union[Tuple[int, ...], int]] = None,
      dtype: Optional[np.dtype] = None,
      keepdims: bool = False,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      if isinstance(axis, list):
          axis = tuple(axis)
      return np.nansum(
          x, axis=axis, dtype=dtype, keepdims=keepdims, out=out
      )
  
imports: from typing import Optional, Union, Tuple, List, Sequence
  import numpy
  import numpy.typing
  import ivy
  from ivy import promote_types_of_inputs
  from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
label_desc: Use image node_id 8 for calling a global function with example usage: nansum() and returns: np