early exit 2
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@ -14,7 +14,10 @@ def calc_force_send(results, data, pixel_mask_pf, image, n_aggregated_images, da
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data_summed = None
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data_summed = None
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n_aggregated_images = 1
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n_aggregated_images = 1
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if apply_threshold or apply_aggregation:
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if not apply_threshold and not apply_aggregation:
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data = image
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return data, force_send_visualisation, n_aggregated_images, data_summed
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if apply_threshold and all(k in results for k in ("threshold_min", "threshold_max")):
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if apply_threshold and all(k in results for k in ("threshold_min", "threshold_max")):
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threshold_min = float(results["threshold_min"])
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threshold_min = float(results["threshold_min"])
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threshold_max = float(results["threshold_max"])
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threshold_max = float(results["threshold_max"])
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@ -39,9 +42,6 @@ def calc_force_send(results, data, pixel_mask_pf, image, n_aggregated_images, da
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if pixel_mask_pf is not None:
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if pixel_mask_pf is not None:
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data[~pixel_mask_pf] = np.nan
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data[~pixel_mask_pf] = np.nan
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else:
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data = image
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return data, force_send_visualisation, n_aggregated_images, data_summed
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return data, force_send_visualisation, n_aggregated_images, data_summed
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