code: def eye(dim1, dim2=-1, dtype_name="float"):
      dim2 = dim1 if dim2 == -1 else dim2
      shape = [dim1, dim2]
      result = DistArray(shape)
      for i, j in np.ndindex(*result.num_blocks):
          block_shape = DistArray.compute_block_shape([i, j], shape)
          if i == j:
              result.object_refs[i, j] = ra.eye.remote(
                  block_shape[0], block_shape[1], dtype_name=dtype_name
              )
          else:
              result.object_refs[i, j] = ra.zeros.remote(
                  block_shape, dtype_name=dtype_name
              )
      return result
  
imports: import numpy
  import ray
  import ray.experimental.array.remote
label_desc: Use image node_id 6 for calling a global function with example usage: eye(dim1, dim2, dtype_name) and returns: result