code: def test_setitem(self):
      dtype = np.dtype(
          [
              ("position", np.float32, 3),
              ("texcoord", np.float32, 2),
              ("color", np.float32, 4),
          ]
      )
      data = np.zeros(10, dtype=dtype)
      B = DataBuffer(data)
      B[1] = data[0]
      B[-1] = data[0]
      B[:5] = data[:5]
      B[5:0] = data[:5]  # Weird, but we apparently support this
      # the below is no longer supported starting with NumPy 1.14.0
      # this used to be converted to a single element array of the above
      # dtype filled with 0s. This is no longer supported.
      # B[1] = b''  # Gets converted into array of dtype. Lists do not work
      # the below doesn't work on all systems (I guess?)
      # B[1] = 0
      B[1] = (
          [0, 0, 0],
          [0, 0],
          [0, 0, 0, 0],
      )
  
      self.assertRaises(IndexError, B.__setitem__, +999, data[0])
      self.assertRaises(IndexError, B.__setitem__, -999, data[0])
      self.assertRaises(TypeError, B.__setitem__, [], data[0])
  
imports: import unittest
  import numpy
  from vispy.testing import run_tests_if_main
  from vispy.gloo.buffer import Buffer, DataBuffer, DataBufferView, VertexBuffer, IndexBuffer
label_desc: Use image node_id 12 for calling the DataBufferTest obj's underlying member method code with example usage: obj.test_setitem() without return types