import strax
from straxen.plugins.defaults import HE_PREAMBLE
from straxen.plugins.peaks.peaks import Peaks
export, __all__ = strax.exporter()
[docs]@export
class PeaksHighEnergy(Peaks):
__doc__ = HE_PREAMBLE + (Peaks.__doc__ or "")
depends_on = ("peaklets_he", "peaklet_classification_he", "merged_s2s_he")
data_kind = "peaks_he"
provides = "peaks_he"
__version__ = "0.0.1"
child_ends_with = "_he"
[docs] def infer_dtype(self):
return self.deps["peaklets_he"].dtype_for("peaklets")
[docs] def compute(self, peaklets_he, merged_s2s_he):
return super().compute(peaklets_he, merged_s2s_he)