@@ -363,7 +363,7 @@ def load_from_netcdf(cls, filename):
363363        return  eddies 
364364
365365    @staticmethod  
366-     def  cost_function (records_in , records_out , distance ):
366+     def  cost_function2 (records_in , records_out , distance ):
367367        nb_records  =  records_in .shape [0 ]
368368        costs  =  ma .empty (nb_records ,dtype = 'f4' )
369369        for  i_record  in  xrange (nb_records ):
@@ -390,8 +390,8 @@ def mask_function(self, other):
390390        return  self .circle_mask (other , radius = 125 )
391391
392392    @staticmethod  
393-     def  cost_function2 (records_in , records_out , distance ):
394-         m  =  EddiesObservations .across_ground (records_in , records_out , distance )
393+     def  cost_function (records_in , records_out , distance ):
394+         # m = EddiesObservations.across_ground(records_in, records_out, distance)
395395        cost  =  ((records_in ['amplitude' ] -  records_out ['amplitude' ]
396396                 ) /  records_in ['amplitude' ]
397397                ) **  2 
@@ -401,7 +401,7 @@ def cost_function2(records_in, records_out, distance):
401401        cost  +=  (distance  /  125 ) **  2 
402402        cost  **=  0.5 
403403        # Mask value superior at 60 % of variation 
404-         return  ma .array (cost , mask = m )
404+         # return ma.array(cost, mask=m)
405405        return  cost 
406406
407407    def  circle_mask (self , other , radius = 100 ):
@@ -502,7 +502,7 @@ def solve_conflict(cost):
502502
503503    @staticmethod  
504504    def  solve_simultaneous (cost ):
505-         mask  =  - cost .mask 
505+         mask  =  ~ cost .mask 
506506        # Count number of link by self obs and other obs 
507507        self_links  =  mask .sum (axis = 1 )
508508        other_links  =  mask .sum (axis = 0 )
@@ -526,7 +526,7 @@ def solve_simultaneous(cost):
526526            # Cost to resolve conflict 
527527            cost_reduce  =  cost [i_self_keep ][:, i_other_keep ]
528528            shape  =  cost_reduce .shape 
529-             nb_conflict  =  (- cost_reduce .mask ).sum ()
529+             nb_conflict  =  (~ cost_reduce .mask ).sum ()
530530            logging .debug ('Shape conflict matrix : %s, %d conflicts' , shape , nb_conflict )
531531
532532            if  nb_conflict  >=  (shape [0 ] +  shape [1 ]):
@@ -630,7 +630,7 @@ def tracking(self, other):
630630            dist [mask_accept_dist ])
631631
632632        cost_mat  =  ma .empty (mask_accept_dist .shape , dtype = 'f4' )
633-         cost_mat .mask  =  - mask_accept_dist 
633+         cost_mat .mask  =  ~ mask_accept_dist 
634634        cost_mat [mask_accept_dist ] =  cost_values 
635635
636636        i_self , i_other  =  self .solve_function (cost_mat )
@@ -720,8 +720,8 @@ def filled_by_interpolation(self, mask):
720720            var  =  field [0 ]
721721            if  var  in  ['n' , 'virtual' , 'track' ] or  var  in  self .array_variables :
722722                continue 
723-             self .obs [var ][mask ] =  interp (index [mask ], index [- mask ],
724-                                          self .obs [var ][- mask ])
723+             self .obs [var ][mask ] =  interp (index [mask ], index [~ mask ],
724+                                          self .obs [var ][~ mask ])
725725
726726    def  extract_longer_eddies (self , nb_min , nb_obs , compress_id = True ):
727727        """Select eddies which are longer than nb_min 
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