class_docstr: This class handles specific types of batch evaluators, based on the sampling of anchor points (examples are random and Thompson sampling).
code: def optimize_anchor_point(
      self, a, duplicate_manager=None, context_manager=None
  ):
      raise NotImplementedError(
          "Need to implement optimize_anchor_point."
      )
  
file_path: GPyOpt/GPyOpt/core/evaluators/base.py
imports: import numpy
label_desc: Use image node_id 4 for calling the SamplingBasedBatchEvaluator obj's underlying member method code with example usage: obj.optimize_anchor_point(a, duplicate_manager, context_manager) without return types