code: def _test_numpy_helper_float_type(self, dtype: np.number) -> None:
      a = np.random.rand(13, 37).astype(dtype)
      tensor_def = numpy_helper.from_array(a, "test")
      self.assertEqual(tensor_def.name, "test")
      a_recover = numpy_helper.to_array(tensor_def)
      np.testing.assert_equal(a, a_recover)
  
imports: import unittest
  from typing import Any
  import numpy
  import parameterized
  import onnx
  from onnx import helper, numpy_helper
label_desc: Use image node_id 1 for calling the TestNumpyHelper obj's underlying member method code with example usage: obj._test_numpy_helper_float_type(dtype) without return types