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HvD: Updated the test case a bit. The convergence on the geometry optimization
is normally detected on one of two things. Either the gradient and the step size are both smaller than a threshold, OR the gradient is much smaller than the threshold (in which case the step size is ignored). This causes variations of one step in the geometry optimization depending on whether the gradient accidentily happens to be small or really small. These variations cause spurious test case failures. Therefore I have now selected lacks step size settings so that calculation converges on the gradient alone in all cases.
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@ -22,6 +22,8 @@ end
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driver
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tight
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xmax 0.00180
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xrms 0.00120
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end
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task scf optimize
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