code: def prime_numba():
      shape = (64, 64)
      lut_small = np.random.randint(256, size=(256, 3), dtype=np.uint8)
      lut_big = np.random.randint(256, size=(512, 3), dtype=np.uint8)
      for lut in [lut_small, lut_big]:
          renderQImage(
              np.zeros(shape, dtype=np.uint8), levels=(20, 220), lut=lut
          )
          renderQImage(
              np.zeros(shape, dtype=np.uint16),
              levels=(250, 3000),
              lut=lut,
          )
          renderQImage(
              np.zeros(shape, dtype=np.float32),
              levels=(-4.0, 4.0),
              lut=lut,
          )
  
file_path: pyqtgraph/benchmarks/renderImageItem.py
imports: import numpy
  import pyqtgraph
label_desc: Use image node_id 2 for calling a global function with example usage: prime_numba() without return types