code: def testNumpyConversion(self):
      self.assertIs(dtypes.float32, dtypes.as_dtype(np.float32))
      self.assertIs(dtypes.float64, dtypes.as_dtype(np.float64))
      self.assertIs(dtypes.int32, dtypes.as_dtype(np.int32))
      self.assertIs(dtypes.int64, dtypes.as_dtype(np.int64))
      self.assertIs(dtypes.uint8, dtypes.as_dtype(np.uint8))
      self.assertIs(dtypes.uint16, dtypes.as_dtype(np.uint16))
      self.assertIs(dtypes.int16, dtypes.as_dtype(np.int16))
      self.assertIs(dtypes.int8, dtypes.as_dtype(np.int8))
      self.assertIs(dtypes.complex64, dtypes.as_dtype(np.complex64))
      self.assertIs(dtypes.complex128, dtypes.as_dtype(np.complex128))
      self.assertIs(dtypes.string, dtypes.as_dtype(np.object_))
      self.assertIs(
          dtypes.string, dtypes.as_dtype(np.array(["foo", "bar"]).dtype)
      )
      self.assertIs(dtypes.bool, dtypes.as_dtype(np.bool_))
      self.assertIs(
          dtypes.float8_e5m2, dtypes.as_dtype(dtypes._np_float8_e5m2)
      )
      self.assertIs(
          dtypes.float8_e4m3fn,
          dtypes.as_dtype(dtypes._np_float8_e4m3fn),
      )
      with self.assertRaises(TypeError):
          dtypes.as_dtype(np.dtype([("f1", np.uint), ("f2", np.int32)]))
  
      class AnObject(object):
          dtype = "f4"
  
      self.assertIs(dtypes.float32, dtypes.as_dtype(AnObject))
  
      class AnotherObject(object):
          dtype = np.dtype(np.complex64)
  
      self.assertIs(dtypes.complex64, dtypes.as_dtype(AnotherObject))
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import _dtypes
  from tensorflow.core.framework import types_pb2
  from tensorflow.core.function import trace_type
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 6 for calling the TypesTest obj's underlying member method code with example usage: obj.testNumpyConversion() without return types