code: def test_cat_dim1(self):
      def f(a, b):
          return a.cat(b, dim=1).realize()
  
      jf = TinyJit(f)
      for i in range(1, 5):
          vi = Variable("i", 1, 10).bind(i)
          a = Tensor.rand(3, i)
          b = Tensor.rand(3, 2)
          symbolic = jf(a.reshape(3, vi), b).reshape(3, i + 2).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 7 for calling the TestSymbolicJit obj's underlying member method code with example usage: obj.test_cat_dim1() and returns: a