code: def _test_grid_log(self, dtype, scipy_dtype, grid_spec, error_spec):
      grid = _make_grid(dtype, grid_spec)
      actual = self.evaluate(special_math.log_cdf_laplace(grid))
  
      # Basic tests.
      # isfinite checks for NaN and Inf.
      self.assertAllTrue(np.isfinite(actual))
      self.assertAllTrue((actual < 0))
      _check_strictly_increasing(actual)
  
      # Versus scipy.
  
      scipy_dist = sp_stats.laplace(loc=0.0, scale=1.0)
      expected = scipy_dist.logcdf(grid.astype(scipy_dtype))
      self.assertAllClose(
          expected.astype(np.float64),
          actual.astype(np.float64),
          rtol=error_spec.rtol,
          atol=error_spec.atol,
      )
  
imports: import collections
  import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import special_math
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.gradient import value_and_gradient
label_desc: Use image node_id 2 for calling the LogCDFLaplaceTest obj's underlying member method code with example usage: obj._test_grid_log(dtype, scipy_dtype, grid_spec, error_spec) without return types