code: def test_cat_dim0_two_vars(self):
      def f(a, b):
          return a.cat(b, dim=0).realize()
  
      jf = TinyJit(f)
      for i in range(1, 5):
          for j in range(1, 5):
              vi = Variable("i", 1, 10).bind(i)
              vj = Variable("j", 1, 10).bind(j)
              a = Tensor.rand(i, 3)
              b = Tensor.rand(j, 3)
              symbolic = (
                  jf(a.reshape(vi, 3), b.reshape(vj, 3))
                  .reshape(i + j, 3)
                  .numpy()
              )
              expected = f(a, b).numpy()
              np.testing.assert_allclose(
                  symbolic, expected, atol=1e-6, rtol=1e-6
              )
      assert_jit_cache_len(jf, 1)
  
imports: import unittest
  from test.helpers import assert_jit_cache_len
  from tinygrad.jit import TinyJit
  from tinygrad.helpers import getenv
  from tinygrad.shape.symbolic import Variable
  from tinygrad.tensor import Tensor
  import numpy
label_desc: Use image node_id 8 for calling the TestSymbolicJit obj's underlying member method code with example usage: obj.test_cat_dim0_two_vars() and returns: a