code: def mean(
      a, axis=None, dtype=None, out=None, keepdims=False, *, where=None
  ):
      axis = tuple(axis) if isinstance(axis, list) else axis
      if dtype is None:
          dtype = "float32" if ivy.is_int_dtype(a) else a.dtype
      ret = ivy.mean(a, axis=axis, keepdims=keepdims, out=out)
      if ivy.is_array(where):
          where = ivy.array(where, dtype=ivy.bool)
          ret = ivy.where(
              where, ret, ivy.default(out, ivy.zeros_like(ret)), out=out
          )
      return ivy.astype(ret, ivy.as_ivy_dtype(dtype), copy=False)
  
imports: import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back, handle_jax_dtype
  from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs
  from ivy.functional.backends.jax.experimental.elementwise import _normalize_axis_tuple
label_desc: Use image node_id 11 for calling a global function with example usage: mean(a, axis, dtype, out, keepdims) and returns: ivy