nevergrad/optimization/optimizerlib.py [737:751]:
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        self.popsize.add_value(loss)
        self.children.append(candidate)
        if len(self.children) >= self.popsize.llambda:
            # Sorting the population.
            self.children.sort(key=base._loss)
            # Computing the new parent.

            self.parents = self.children[: self.popsize.mu]
            self.children = []
            self.current_center = (
                sum(  # type: ignore
                    c.get_standardized_data(reference=self.parametrization) for c in self.parents
                )
                / self.popsize.mu
            )
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nevergrad/optimization/optimizerlib.py [2273:2286]:
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            self.popsize.add_value(loss)
        self.children.append(candidate)
        if len(self.children) >= self.popsize.llambda:
            # Sorting the population.
            self.children.sort(key=base._loss)
            # Computing the new parent.
            self.parents = self.children[: self.popsize.mu]
            self.children = []
            self.current_center = (
                sum(  # type: ignore
                    c.get_standardized_data(reference=self.parametrization) for c in self.parents
                )
                / self.popsize.mu
            )
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