code: def testFitGLMFromData_SingleBatch(self):
      batch_shape = [1]
      self._test_fit_glm_from_data(
          n=int(1e4),
          d=100,
          link="linear",
          model=family.Normal(),
          batch_shape=batch_shape,
      )
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import bernoulli
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.glm import family
  from tensorflow_probability.python.glm import proximal_hessian
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import sparse
label_desc: Use image node_id 8 for calling the _ProximalHessianTest obj's underlying member method code with example usage: obj.testFitGLMFromData_SingleBatch() without return types