code: def test_float32_all_segments_with_scipy_float64_ok(self):
      # Choose values outside the range where scipy float32 works.
      # Let scipy use float64.  This means we
      # won't be exactly the same since we are in float32.
      self._test_grid_log(
          np.float32,  # dtype
          np.float64,  # scipy_dtype
          GridSpec(
              min=-50, max=self.CUTOFF_FLOAT32_UPPER + 5, shape=[100]
          ),
          ErrorSpec(rtol=0.05, atol=0),
      )
  
imports: import collections
  import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops.distributions import special_math
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 4 for calling the LogCDFLaplaceTest obj's underlying member method code with example usage: obj.test_float32_all_segments_with_scipy_float64_ok() without return types