code: def test_missing_direction():
      image = numpy.random.rand(10, 10)
  
      labels = numpy.zeros_like(image, dtype=numpy.uint8)
      labels[2:6, 3] = 1
  
      workspace, module = make_workspace(image, labels)
  
      module.run(workspace)
  
      measurements = workspace.measurements
  
      for feature_name in measurements.get_feature_names(
          INPUT_OBJECTS_NAME
      ):
          if feature_name.startswith(
              cellprofiler.modules.measuretexture.TEXTURE
          ):
              values = measurements.get_current_measurement(
                  INPUT_OBJECTS_NAME, feature_name
              )
              assert numpy.all(values == 0)
  
imports: import io
  import numpy
  import cellprofiler_core.image
  import cellprofiler_core.measurement
  import cellprofiler.modules.measuretexture
  import cellprofiler_core.object
  import cellprofiler_core.pipeline
  import cellprofiler_core.workspace
label_desc: Use image node_id 13 for calling a global function with example usage: test_missing_direction() without return types