class_docstr: Deterministic value sampler.
  
  For a value it returns whether this value should be kept. The keeping
  decision is deterministic for a fixed value. For a randomly chosen value the
  decision to keep happens with probability sampling_rate.
docstr: Returns true if the value should be kept.
docstr_tok: ["Returns","true","if","the","value","should","be","kept","."]
code: def keep(self, value) -> bool:
      """Returns true if the value should be kept."""
      return _compute_64bit_hash(value) < self._sample_bound
  
imports: import numpy
  import hashlib
label_desc: Use image node_id 2 for calling the ValueSampler obj's underlying member method code with example usage: obj.keep(value) and returns: unknown