code: def set_(reference: Tensor, shape, strides, offset):
      if reference.lazydata.base.realized is None:
          reference.realize()
      assert (
          reference.lazydata.base.realized
      ), "base has to be realized before setting it to strided's base"
      # TODO: this shouldn't directly create a LazyBuffer
      strided = Tensor(
          LazyBuffer(
              device=reference.device,
              st=ShapeTracker(
                  (
                      View.create(
                          shape=shape, strides=strides, offset=offset
                      ),
                  )
              ),
              op=None,
              dtype=reference.dtype,
              srcs=(),
              base=reference.lazydata.base,
          )
      )
      assert (
          strided.lazydata.st.real_strides() == strides
      ), "real_strides should equal strides for strided"
      return strided
  
imports: import math, unittest, random, copy
  import numpy
  from tinygrad import Tensor, dtypes, Device
  from tinygrad.lazy import LazyBuffer
  from tinygrad.shape.shapetracker import ShapeTracker
  from tinygrad.shape.view import View
  from tinygrad.helpers import CI
label_desc: Use image node_id 3 for calling a global function with example usage: set_(reference, shape, strides, offset) and returns: strided