docstr: Initialize the test class.
docstr_tok: ["Initialize","the","test","class","."]
code: def __init__(self, methodname):
      """Initialize the test class."""
      super().__init__(methodname)
      self.num_steps = 100
      self.lrs = {
          "square_adam": 0.15,
          "rastrigin_adam": 0.7,
          "square_adam_override": 0.15,
          "rastrigin_adam_override": 0.7,
          "logistic_lars": 0.9,
          "square_lars": 3.0,
          "logistic_momentum": 1.0,
          "square_momentum": 0.01,
          "logistic_momentum_override": 5.0,
          "square_momentum_override": 0.3,
          "logistic_sgd": 20.0,
          "square_sgd": 0.5,
      }
      self.tolerances = {
          "square_adam": 1e-3,
          "rastrigin_adam": 1e-3,
          "square_adam_override": 1e-3,
          "rastrigin_adam_override": 1e-1,
          "logistic_lars": 1e-3,
          "square_lars": 1e-1,
          "logistic_momentum": 1e-10,
          "square_momentum": 1e-3,
          "logistic_momentum_override": 1e-3,
          "square_momentum_override": 1e-3,
          "logistic_sgd": 1e-10,
          "square_sgd": 1e-3,
      }
      self.override_options = {
          "logistic_momentum_override": 0.75,
          "square_momentum_override": 0.05,
          "square_adam_override": (0.85, 0.55),
          "rastrigin_adam_override": (0.95, 0.755),
      }
  
imports: import math
  import unittest
  import jax.numpy
  import numpy
  import objax
  from objax.variable import TrainVar, VarCollection
label_desc: Use image node_id 1 to create a new TestOptimizers object from inherited base classes: unittest with example: obj = TestOptimizers(methodname)