code: def nansum(
      x: JaxArray,
      /,
      *,
      axis: Optional[Union[Tuple[int, ...], int]] = None,
      dtype: Optional[jnp.dtype] = None,
      keepdims: bool = False,
      out: Optional[JaxArray] = None,
  ) -> JaxArray:
      if isinstance(axis, list):
          axis = tuple(axis)
      return jnp.nansum(
          x, axis=axis, dtype=dtype, keepdims=keepdims, out=out
      )
  
imports: import operator
  from typing import Optional, Union, Tuple, List, Sequence
  from numbers import Number
  from ivy import promote_types_of_inputs, default_float_dtype, is_float_dtype
  from ivy.func_wrapper import with_supported_dtypes
  from ivy.functional.backends.jax import JaxArray
  import jax.numpy
  import jax.scipy
  import jax.lax
  from ..None import backend_version
label_desc: Use image node_id 9 for calling a global function with example usage: nansum() and returns: jnp