test.t.rast.aggregate.relative_time stderr

+ g.region s=0 n=80 w=0 e=120 b=0 t=50 res=10 res3=10 -p3
+ r.mapcalc --o expr=prec_1 = rand(0, 550) -s
+ r.mapcalc --o expr=prec_2 = rand(0, 450) -s
+ r.mapcalc --o expr=prec_3 = rand(0, 320) -s
+ r.mapcalc --o expr=prec_4 = null()
+ r.mapcalc --o expr=prec_5 = rand(0, 300) -s
+ r.mapcalc --o expr=prec_6 = rand(0, 650) -s
+ t.create --o type=strds temporaltype=relative output=precip_abs1 title=A test descr=A test
Default TGIS driver / database set to:
driver: sqlite
database:
/grassdata/tests-grassdata/piemonte_utm32_wgs84_grass7/__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time/tgis/sqlite.db
Creating temporal database:
/grassdata/tests-grassdata/piemonte_utm32_wgs84_grass7/__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time/tgis/sqlite.db
+ t.register -i type=rast input=precip_abs1 maps=prec_1,prec_2,prec_3,prec_4,prec_5,prec_6 start=0 unit=days increment=3
Gathering map information...
   0% 100%
Registering maps in the temporal database...
Registering maps in the space time raster dataset...
   0%Updating space time raster dataset...
 100%
+ t.rast.aggregate --o --v input=precip_abs1 output=precip_abs2 base=prec_sum granularity=6 method=average sampling=overlaps,overlapped,contains -ns nprocs=2
   0%Aggregating 2 raster maps from 0 to 6
  33%Aggregating 2 raster maps from 6 to 12
  66%Aggregating 2 raster maps from 12 to 18
 100%
Creating a new space time raster dataset
Gathering map information...
   0% 100%
Registering maps in the temporal database...
Registering maps in the space time raster dataset...
   0%Updating space time raster dataset...
Update metadata, spatial and temporal extent from all registered maps of
<precip_abs2@__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time>
 100%
+ t.info type=strds input=precip_abs2
+ t.rast.list input=precip_abs2
+ t.rast.aggregate --o --v input=precip_abs1 output=precip_abs2 base=prec_sum granularity=9 method=maximum sampling=contains offset=130 nprocs=3
   0%Aggregating 3 raster maps from 0 to 9
  50%Aggregating 3 raster maps from 9 to 18
 100%
WARNING: Overwriting space time raster dataset <precip_abs2> and
         unregistering all maps
Delete space time raster dataset
<precip_abs2@__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time>
from temporal database
Creating a new space time raster dataset
Gathering map information...
   0% 100%
Registering maps in the temporal database...
Registering maps in the space time raster dataset...
   0%Updating space time raster dataset...
Update metadata, spatial and temporal extent from all registered maps of
<precip_abs2@__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time>
 100%
+ t.info type=strds input=precip_abs2
+ t.rast.list input=precip_abs2
+ t.rast.aggregate --o --v input=precip_abs1 output=precip_abs2 base=prec_sum granularity=4 method=minimum sampling=contains -s
   0%Aggregating 1 raster maps from 0 to 4
  20%  40%Aggregating 1 raster maps from 8 to 12
  60%Aggregating 1 raster maps from 12 to 16
  80% 100%
WARNING: Overwriting space time raster dataset <precip_abs2> and
         unregistering all maps
Delete space time raster dataset
<precip_abs2@__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time>
from temporal database
Creating a new space time raster dataset
Gathering map information...
   0% 100%
Registering maps in the temporal database...
Registering maps in the space time raster dataset...
   0%Updating space time raster dataset...
Update metadata, spatial and temporal extent from all registered maps of
<precip_abs2@__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time>
Update metadata, spatial and temporal extent from all registered maps of
<precip_abs2@__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time>
 100%
+ t.info type=strds input=precip_abs2
+ t.rast.list input=precip_abs2
+ t.rast.aggregate --o --v input=precip_abs1 output=precip_abs2 base=prec_sum granularity=5 method=sum sampling=overlaps,overlapped,contains -n
   0%Aggregating 2 raster maps from 0 to 5
  25%Aggregating 3 raster maps from 5 to 10
  50%Aggregating 2 raster maps from 10 to 15
  75%Aggregating 1 raster maps from 15 to 20
 100%
WARNING: Overwriting space time raster dataset <precip_abs2> and
         unregistering all maps
Delete space time raster dataset
<precip_abs2@__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time>
from temporal database
Creating a new space time raster dataset
Gathering map information...
   0% 100%
Registering maps in the temporal database...
Registering maps in the space time raster dataset...
   0%Updating space time raster dataset...
Update metadata, spatial and temporal extent from all registered maps of
<precip_abs2@__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time>
Update metadata, spatial and temporal extent from all registered maps of
<precip_abs2@__temporal_t_rast_aggregate_test.t.rast.aggregate.relative_time>
 100%
+ t.info type=strds input=precip_abs2
+ t.rast.list input=precip_abs2
+ t.remove -rf type=strds input=precip_abs1,precip_abs2
Removing registered maps
Removing registered maps