code: def sum(
      x: np.ndarray,
      /,
      *,
      axis: Optional[Union[int, Sequence[int]]] = None,
      dtype: Optional[np.dtype] = None,
      keepdims: Optional[bool] = False,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      if dtype is None and not ivy.is_bool_dtype(x):
          dtype = x.dtype
      axis = tuple(axis) if isinstance(axis, list) else axis
      return np.asarray(
          np.sum(
              a=x,
              axis=axis,
              dtype=dtype,
              keepdims=keepdims,
              out=out,
          )
      )
  
file_path: ivy/ivy/functional/backends/numpy/statistical.py
imports: import numpy
  from typing import Union, Optional, Sequence
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
  from .None import backend_version
  from ivy.utils.einsum_parser import legalise_einsum_expr
label_desc: Use image node_id 7 for calling a global function with example usage: sum() and returns: np