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fixed transformations (Sorry Andreas)
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@ -48,6 +48,7 @@ class logexp_clipped(transformation):
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return np.log(np.exp(f) - 1.)
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def gradfactor(self, f):
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ef = np.exp(f)
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gf = (ef - 1.) / ef
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return np.where(f < 1e-6, 0, gf)
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def initialize(self,f):
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if np.any(f<0.):
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