BootstrapGeneratorConfig.py

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# Copyright (C) 2002-2026 CERN for the benefit of the ATLAS collaboration
 
# AnaAlgorithm import(s):
from AnalysisAlgorithmsConfig.ConfigBlock import ConfigBlock
from AnalysisAlgorithmsConfig.ConfigAccumulator import DataType
 
class BootstrapGeneratorConfig(ConfigBlock):
    '''ConfigBlock for the bootstrap generator'''
 
    def __init__(self):
        super().__init__()
        self.addOption ('nReplicas', 1000, type=int,
            info="the number of bootstrap replicas to generate.")
        self.addOption ('decoration', None, type=str,
            info="the name of the output vector branch containing the "
            "bootstrapped weights.")
        self.setOptionValue('skipOnMC', True)
 
    def instanceName (self) :
        """Return the instance name for this block"""
        return '' # no instance name needed for singleton block
 
    def makeAlgs(self, config):
 
        alg = config.createAlgorithm( 'CP::BootstrapGeneratorAlg', 'BootstrapGenerator', reentrant=True)
        alg.nReplicas = self.nReplicas
        alg.isData = config.dataType() is DataType.Data
        decorationName = (self.decoration or "bootstrapWeights").replace("_%SYS%", "")
        alg.decorationName = decorationName
 
        config.addOutputVar ('EventInfo', decorationName, decorationName, noSys=True, auxType='vector_uint8')
 
        return