code: def test_static_tensor_array_constructor():
      def run(dtype, shape):
          mod = tvm.IRModule()
          p = Prelude(mod)
          static_tensor_array_ops = StaticTensorArrayOps(
              p, dtype, shape
          )
          static_tensor_array_ops.register()
          tensor_constructor = p.get_name_static(
              "tensor_constructor", dtype, shape
          )
          assert tensor_constructor != None
  
      run("float32", [1, 1])
  
imports: import pytest
  import tvm
  from tvm import relay
  from tvm.relay import testing
  from tvm.relay.backend.interpreter import ConstructorValue
  from tvm.relay import create_executor
  from tvm.relay.prelude import Prelude, StaticTensorArrayOps
  from tvm.relay.testing import count, make_nat_value, make_nat_expr
  import numpy
label_desc: Use image node_id 17 for calling a global function with example usage: test_static_tensor_array_constructor() without return types