code: def test_num_threads():
      reported = tvm.runtime.num_threads()
      env_threads = os.getenv("TVM_NUM_THREADS")
      omp_env_threads = os.getenv("OMP_NUM_THREADS")
      if env_threads is not None:
          assert reported == int(env_threads)
      elif omp_env_threads is not None:
          assert reported == int(omp_env_threads)
      else:
          hardware_threads = os.cpu_count()
          assert (
              reported == hardware_threads
              or reported == hardware_threads // 2
          )
  
imports: import numpy
  import os
  from tvm import relay, runtime
  from tvm.relay import testing
  import tvm
  from tvm.contrib import graph_executor
  from tvm.contrib.debugger import debug_executor
  from tvm.contrib.cuda_graph import cuda_graph_executor
  import tvm.testing
label_desc: Use image node_id 14 for calling a global function with example usage: test_num_threads() without return types