Source code for rubin_sim.maf.metrics.base_lcl_metric

from .base_metric import BaseMetric


[docs] class BaseLCLMetric(BaseMetric): """ Base class for LCL metrics, extending the BaseMetric class. This class can be used as a foundation for creating specific LCL metrics. """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs)
[docs] class LCLObsCountMetric(BaseLCLMetric): """ A simple test metric that will probably be removed later. """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs)
[docs] def run(self, data_slice, slice_point): """Calculate metric values. Parameters ---------- data_slice : `numpy.ndarray`, (N,) Values passed to metric by the slicer, which the metric will use to calculate metric values at each slice_point. slice_point : `dict` or None Dictionary of slice_point metadata passed to each metric. E.g. the ra/dec of the healpix pixel. Returns ------- metricValue : `int` `float` or `object` The metric value at each slice_point.""" return len(data_slice[0][0]["flux"])