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 initialize_batch(
      self, duplicate_manager=None, context_manager=None
  ):
      raise NotImplementedError("Need to implement initialize_batch.")
  
file_path: GPyOpt/GPyOpt/core/evaluators/base.py
imports: import numpy
label_desc: Use image node_id 2 for calling the SamplingBasedBatchEvaluator obj's underlying member method code with example usage: obj.initialize_batch(duplicate_manager, context_manager) without return types