breaking this apart a bit more
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@ -128,9 +128,10 @@ def work(backend_address, accumulator_host, accumulator_port, visualisation_host
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apply_aggregation = results.get("apply_aggregation", False)
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send_empty_cond1 = (apply_aggregation and "aggregation_max" in results and not force_send_visualisation)
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send_empty_cond2 = (not results["is_good_frame"] or not (results["is_hit_frame"] or randint(1, skip_frames_rate) == 1))
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send_empty_cond2 = (not results["is_good_frame"])
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send_empty_cond3 = (not (results["is_hit_frame"] or randint(1, skip_frames_rate) == 1))
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if send_empty_cond1 or send_empty_cond2:
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if send_empty_cond1 or send_empty_cond2 or send_empty_cond3:
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data = np.empty((2, 2), dtype=np.uint16)
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results["type"] = str(data.dtype)
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results["shape"] = data.shape
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