code: def helper_realized_ast(r: Tensor):
      s = r.lazydata.schedule()
      run_schedule(s[:-1])  # run all kernels except the last one
      # now all input LazyBuffers buffers in s[-1] should be realized
      # allocate an output buffer
      output_buffer = Buffer(
          s[-1].out.device,
          prod(
              (
                  s if isinstance(s, int) else s.max
                  for s in s[-1].out.shape
              )
          ),
          s[-1].out.dtype,
      )
      return s[-1].ast, [output_buffer] + [
          l.realized for l in s[-1].inputs
      ]
  
imports: import numpy
  import unittest, os
  from tinygrad.codegen.kernel import Opt, OptOps, tensor_cores
  from tinygrad.codegen.linearizer import Linearizer, UOp, UOps, expand_node
  from tinygrad.device import Compiled, Device, Buffer
  from tinygrad.ops import BufferOps, MemBuffer, ConstBuffer, LazyOp, LoadOps, TernaryOps
  from tinygrad.shape.shapetracker import ShapeTracker
  from tinygrad.shape.view import View
  from tinygrad.shape.symbolic import MulNode, SumNode, Variable, NumNode, Node, create_rednode
  from tinygrad.tensor import Tensor
  from tinygrad.jit import CacheCollector
  from tinygrad.realize import run_schedule
  from tinygrad.helpers import prod
  from tinygrad.dtype import dtypes
label_desc: Use image node_id 1 for calling a global function with example usage: helper_realized_ast(r) and returns: s,  unknown