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 compute_batch_without_duplicate_logic(self, context_manager=None):
      raise NotImplementedError(
          "Need to implement compute_batch_without_duplicate_logic."
      )
  
file_path: GPyOpt/GPyOpt/core/evaluators/base.py
imports: import numpy
label_desc: Use image node_id 5 for calling the SamplingBasedBatchEvaluator obj's underlying member method code with example usage: obj.compute_batch_without_duplicate_logic(context_manager) without return types