a1a0d2e3010f8ade39317709a684bd431d5eef3c,brian2/units/fundamentalunits.py,UnitRegistry,__getitem__,#UnitRegistry#Any#,2037

Before Change

        matching_values = np.asarray(matching)
        x_flat = np.asarray(x).flatten()
        floatreps = np.tile(x_flat, (len(matching), 1)).T / matching_values
        good_reps = np.sum((np.abs(floatreps) >= 0.1) & (np.abs(floatreps) < 1000),
                           axis=0)
        if any(good_reps):
            return matching[good_reps.argmax()]
        else:
            return matching[0]

After Change

        // determine how well this unit represents the value
        matching_values = np.asarray(matching)
        x_flat = np.asarray(x).flatten()
        floatreps = np.tile(np.abs(x_flat), (len(matching), 1)).T / matching_values
        // ignore zeros, they are well represented in any unit
        floatreps[floatreps == 0] = np.nan
        if np.all(np.isnan(floatreps)):
            return matching[0]  // all zeros, use the base unit

Instances