code: def _should_eval(self, epoch, validation_freq):
      epoch = epoch + 1  # one-index the user-facing epoch.
      if isinstance(validation_freq, int):
          return epoch % validation_freq == 0
      elif isinstance(validation_freq, list):
          return epoch in validation_freq
      else:
          raise ValueError(
              "Expected `validation_freq` to be a list or int. "
              f"Received: validation_freq={validation_freq} of the "
              f"type {type(validation_freq)}."
          )
  
imports: import platform
  import warnings
  import tree
  from keras import backend
  from keras import metrics
  from keras import ops
  from keras import optimizers
  from keras.optimizers.loss_scale_optimizer import LossScaleOptimizer
  from keras.saving import serialization_lib
  from keras.trainers.compile_utils import CompileLoss
  from keras.trainers.compile_utils import CompileMetrics
  from keras.trainers.data_adapters import data_adapter_utils
  from keras.utils import traceback_utils
  from keras.utils import tracking
label_desc: Use image node_id 23 for calling the Trainer obj's underlying member method code with example usage: obj._should_eval(epoch, validation_freq) and returns: unknown, unknown