9a44bfee4725073937dc2c96f1c89ca30bd641c8,brian2/units/fundamentalunits.py,UnitRegistry,__getitem__,#UnitRegistry#Any#,1743

Before Change

        the first matching unit (which will typically be the unscaled
        version).
        
        matching = filter(lambda o: have_same_dimensions(o, x), self.objs)
        if len(matching) == 0:
            raise KeyError("Unit not found in registry.")
        // count the number of entries well represented by this unit 
        floatreps = np.asarray(map(lambda o:

After Change

        
        // count the number of entries well represented by this unit
        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((floatreps >= 0.1) & (floatreps < 1000), axis=0)
        if any(good_reps):
            return matching[good_reps.argmax()]
        else:
            return matching[0]

Instances