code: def numpy_testing_assert_equal_helper(a, b):
      if isinstance(a, Tensor):
          a = a.numpy()
      if isinstance(b, Tensor):
          b = b.numpy()
      np.testing.assert_equal(a, b)
  
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 1 for calling a global function with example usage: numpy_testing_assert_equal_helper(a, b) without return types