Recursing into;
geospatial_data, mesh_engine, visualiser, fit_interpolate, load_mesh, caching, culvert_flows, visualiser_new, abstract_2d_finite_volumes, coordinate_transforms, alpha_shape, wiki, damage_modelling, shallow_water, utilities, euler, advection, pmesh, icons,

Testing path ...ndation/sandpits/bridgette/anuga_core/source/anuga:

Files tested;
test_advection.py, test_alpha_shape.py, test_caching.py, test_cg_solve.py, test_data_audit.py, test_data_manager.py, test_domain.py, test_eq.py, test_ermapper.py, test_fit.py, test_general_mesh.py, test_generate_mesh.py, test_generic_boundary_conditions.py, test_geo_reference.py, test_geospatial_data.py, test_ghost.py, test_interpolate.py, test_inundation_damage.py, test_lat_long_UTM_conversion.py, test_loadASCII.py, test_mesh.py, test_mesh_interface.py, test_most2nc.py, test_neighbour_mesh.py, test_numerical_tools.py, test_pmesh2domain.py, test_point.py, test_polygon.py, test_quad.py, test_quantity.py, test_redfearn.py, test_region.py, test_search_functions.py, test_shallow_water_domain.py, test_smf.py, test_sparse.py, test_system.py, test_system_tools.py, test_tsunami_okada.py, test_util.py, test_xml_tools.py,

Output to  /tmp/tmpncI4KM.sww
------------------------------------------------
Statistics:
    t in [0.000000, 400.000000], len(t) == 2
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [0.000000, 34961.421952], len(lat) == 209
    y in [0.000000, 35564.766421], len(lon) == 209
    z in [-7663500.000000, -7627935.000000], len(z) == 209
geo_ref:  (zone=50 easting=247388.405226, northing=7627935.163189)
------------------------------------------------
Converting quantities
------------------------------------------------
More Statistics:
  stage in [47388.515625, 82349.656250]
  xmomentum in [58549913976648.281250, 59356743578437.500000]
  ymomentum in [-2183292799597.265625, -1901949822236.610352]
------------------------------------------------
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-38.000000, -37.750000], len(lat) == 2
    lon in [148.000000, 148.500000], len(lon) == 3
    t in [0.000000, 3600.000000], len(t) == 2
Making triangular grid
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [587798.417835, 632145.631656], len(lat) == 6
    y in [5793123.476724, 5821451.721527], len(lon) == 6
geo_ref:  (zone=55 easting=587798.417835, northing=5793123.476724)
Converting quantities
  Doing 0 of 2
  Doing 1 of 2
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-38.000000, -37.750000], len(lat) == 2
    lon in [148.000000, 148.500000], len(lon) == 3
    t in [0.000000, 3600.000000], len(t) == 2
Making triangular grid
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [587798.417835, 632145.631656], len(lat) == 6
    y in [5793123.476724, 5821451.721527], len(lon) == 6
geo_ref:  (zone=55 easting=587798.417835, northing=5793123.476724)
Converting quantities
  Doing 0 of 2
  Doing 1 of 2
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-37.750000, -37.500000], len(lat) == 2
    lon in [148.250000, 148.500000], len(lon) == 2
    t in [0.000000, 3600.000000], len(t) == 2
Making triangular grid
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [610120.387716, 632589.070207], len(lat) == 4
    y in [5820863.269052, 5848924.877563], len(lon) == 4
geo_ref:  (zone=55 easting=610120.387716, northing=5820863.269052)
Converting quantities
  Doing 0 of 2
  Doing 1 of 2
Reading DEM from demtest.dem
Store to NetCDF file demtest.pts
There are 100 values in the elevation
There are 24 values in the clipped elevation
There are 5 NODATA_values in the clipped elevation
Processing row 4 of 10
Processing row 6 of 10
Reading DEM from demtest.dem
Store to NetCDF file demtest.pts
There are 100 values in the elevation
There are 24 values in the clipped elevation
There are 10 NODATA_values in the clipped elevation
Processing row 4 of 10
Processing row 6 of 10
Reading DEM from demtest.dem
Store to NetCDF file demtest.pts
There are 100 values in the elevation
There are 24 values in the clipped elevation
There are 0 NODATA_values in the clipped elevation
Processing row 4 of 10
Processing row 6 of 10
iterate over ['teg']
Reading from ./teg.sww
Output directory is ./teg_elevation
------------------------------------------------
Statistics of SWW file:
  Name: ./teg.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.012250, 0.012250]
    ymomentum in [-0.012250, 0.012250]
    elevation in [-2.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-2.000000, 0.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-2.000000, 0.000000]
Writing ./teg_elevation.prj
Writing ./teg_elevation.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
iterate over ['tegII']
Reading from ./tegII.sww
Output directory is ./tegII_elevation
------------------------------------------------
Statistics of SWW file:
  Name: ./tegII.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.012250, 0.012250]
    ymomentum in [-0.012250, 0.012250]
    elevation in [-2.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-2.000000, 0.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-2.000000, 0.000000]
Writing ./tegII_elevation.prj
Writing ./tegII_elevation.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading from ./tegII.sww
Output directory is ./tegII_depth
------------------------------------------------
Statistics of SWW file:
  Name: ./tegII.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.012250, 0.012250]
    ymomentum in [-0.012250, 0.012250]
    elevation in [-2.000000, 0.000000]
Processing quantity stage-elevation
Reducing quantity stage-elevation
Processed values for stage-elevation are in [1.000000, 3.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [1.000000, 3.000000]
Writing ./tegII_depth.prj
Writing ./tegII_depth.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
iterate over ['tegIII']
Reading from ./tegIII.sww
Output directory is ./tegIII_elevation_yeah
------------------------------------------------
Statistics of SWW file:
  Name: ./tegIII.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.012250, 0.012250]
    ymomentum in [-0.012250, 0.012250]
    elevation in [-2.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-2.000000, 0.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-2.000000, 0.000000]
Writing ./tegIII_elevation_yeah.prj
Writing ./tegIII_elevation_yeah.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading from ./tegIII.sww
Output directory is ./tegIII_depth_yeah
------------------------------------------------
Statistics of SWW file:
  Name: ./tegIII.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.012250, 0.012250]
    ymomentum in [-0.012250, 0.012250]
    elevation in [-2.000000, 0.000000]
Processing quantity stage-elevation
Reducing quantity stage-elevation
Processed values for stage-elevation are in [1.000000, 3.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [1.000000, 3.000000]
Writing ./tegIII_depth_yeah.prj
Writing ./tegIII_depth_yeah.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
iterate over ['tegp_P0_8', 'tegp_P1_8']
Reading from ./tegp_P0_8.sww
Output directory is ./tegp_P0_8_elevation_yeah
------------------------------------------------
Statistics of SWW file:
  Name: ./tegp_P0_8.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.000200], len(t) == 4
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.000245, 0.000245]
    ymomentum in [-0.000245, 0.000245]
    elevation in [-2.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-2.000000, 0.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-2.000000, 0.000000]
Writing ./tegp_P0_8_elevation_yeah.prj
Writing ./tegp_P0_8_elevation_yeah.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading from ./tegp_P0_8.sww
Output directory is ./tegp_P0_8_depth_yeah
------------------------------------------------
Statistics of SWW file:
  Name: ./tegp_P0_8.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.000200], len(t) == 4
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.000245, 0.000245]
    ymomentum in [-0.000245, 0.000245]
    elevation in [-2.000000, 0.000000]
Processing quantity stage-elevation
Reducing quantity stage-elevation
Processed values for stage-elevation are in [1.000000, 3.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [1.000000, 3.000000]
Writing ./tegp_P0_8_depth_yeah.prj
Writing ./tegp_P0_8_depth_yeah.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading from ./tegp_P1_8.sww
Output directory is ./tegp_P1_8_elevation_yeah
------------------------------------------------
Statistics of SWW file:
  Name: ./tegp_P1_8.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000100, 0.000200], len(t) == 2
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.000245, 0.000245]
    ymomentum in [-0.000245, 0.000245]
    elevation in [-2.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-2.000000, 0.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-2.000000, 0.000000]
Writing ./tegp_P1_8_elevation_yeah.prj
Writing ./tegp_P1_8_elevation_yeah.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading from ./tegp_P1_8.sww
Output directory is ./tegp_P1_8_depth_yeah
------------------------------------------------
Statistics of SWW file:
  Name: ./tegp_P1_8.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000100, 0.000200], len(t) == 2
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.000245, 0.000245]
    ymomentum in [-0.000245, 0.000245]
    elevation in [-2.000000, 0.000000]
Processing quantity stage-elevation
Reducing quantity stage-elevation
Processed values for stage-elevation are in [1.000000, 3.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [1.000000, 3.000000]
Writing ./tegp_P1_8_depth_yeah.prj
Writing ./tegp_P1_8_depth_yeah.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading files most_small_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.000000], len(lat) == 4
    lon in [150.666670, 151.166670], len(lon) == 4
    t in [0.000000, 2.100000], len(t) == 6
  Amplitudes (ha) [cm] in [-46.635190, 0.340064]
  Speeds (ua) [cm/s] in [-46.635190, 0.340064]
  Speeds (va) [cm/s] in [-46.635190, 0.340064]
  Elevations (e) [m] in [-46.635190, 0.340064]
------------------------------------------------
Statistics:
    t in [0.000000, 2.100000], len(t) == 6
Making triangular grid
Converting quantities
  Doing 0 of 6
  Doing 1 of 6
  Doing 2 of 6
  Doing 3 of 6
  Doing 4 of 6
  Doing 5 of 6
------------------------------------------------
Statistics of output file:
  Name: most_small.sww
  Reference:
    Lower left corner: [0.000000, 0.000000]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 2.100000
  Extent:
    x [m] in [284499.538420, 331683.976767], len(x) == 16
    y [m] in [6179931.186718, 6236328.948475], len(y) == 16
    t [s] in [0.000000, 2.100000], len(t) == 6
  Quantities [SI units]:
    stage in [-0.466352, 0.003401]
    xmomentum in [0.000000, 21.965894]
    ymomentum in [0.000000, 21.965894]
    elevation in [-0.340064, 46.635190]
Reading files test_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.333330], len(lat) == 2
    lon in [150.666670, 151.000000], len(lon) == 3
    t in [0.000000, 1.000000], len(t) == 2
  Amplitudes (ha) [cm] in [5.000000, 230.000000]
  Speeds (ua) [cm/s] in [1.000000, 12.000000]
  Speeds (va) [cm/s] in [2.000000, 13.000000]
  Elevations (e) [m] in [-6000.000000, -3000.000000]
------------------------------------------------
Statistics:
    t in [0.000000, 1.000000], len(t) == 2
Making triangular grid
Converting quantities
  Doing 0 of 2
  Doing 1 of 2
------------------------------------------------
Statistics of output file:
  Name: test.sww
  Reference:
    Lower left corner: [0.000000, 0.000000]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 1.000000
  Extent:
    x [m] in [285345.576227, 316380.034479], len(x) == 6
    y [m] in [6179931.186718, 6199072.505158], len(y) == 6
    t [s] in [0.000000, 1.000000], len(t) == 2
  Quantities [SI units]:
    stage in [0.050000, 2.300000]
    xmomentum in [30.000500, 720.276000]
    ymomentum in [120.046000, 480.018400]
    elevation in [-6000.000000, -3000.000000]
Reading files test_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.333330], len(lat) == 2
    lon in [150.666670, 151.000000], len(lon) == 3
    t in [0.000000, 1.000000], len(t) == 2
  Amplitudes (ha) [cm] in [5.000000, 230.000000]
  Speeds (ua) [cm/s] in [1.000000, 12.000000]
  Speeds (va) [cm/s] in [2.000000, 13.000000]
  Elevations (e) [m] in [-6000.000000, -3000.000000]
------------------------------------------------
Statistics:
    t in [0.000000, 1.000000], len(t) == 2
Making triangular grid
Converting quantities
  Doing 0 of 2
  Doing 1 of 2
------------------------------------------------
Statistics of output file:
  Name: test.sww
  Reference:
    Lower left corner: [0.000000, 0.000000]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 1.000000
  Extent:
    x [m] in [285345.576227, 316380.034479], len(x) == 6
    y [m] in [6179931.186718, 6199072.505158], len(y) == 6
    t [s] in [0.000000, 1.000000], len(t) == 2
  Quantities [SI units]:
    stage in [0.050000, 2.300000]
    xmomentum in [30.000500, 720.276000]
    ymomentum in [120.046000, 480.018400]
    elevation in [-6000.000000, -3000.000000]
Reading files most_small_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.000000], len(lat) == 4
    lon in [150.666670, 151.166670], len(lon) == 4
    t in [0.000000, 2.100000], len(t) == 6
  Amplitudes (ha) [cm] in [-46.635190, 0.340064]
  Speeds (ua) [cm/s] in [-46.635190, 0.340064]
  Speeds (va) [cm/s] in [-46.635190, 0.340064]
  Elevations (e) [m] in [-46.635190, 0.340064]
------------------------------------------------
Statistics:
    t in [0.000000, 2.100000], len(t) == 6
Making triangular grid
Converting quantities
  Doing 0 of 6
  Doing 1 of 6
  Doing 2 of 6
  Doing 3 of 6
  Doing 4 of 6
  Doing 5 of 6
------------------------------------------------
Statistics of output file:
  Name: most_small.sww
  Reference:
    Lower left corner: [0.000000, 0.000000]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 2.100000
  Extent:
    x [m] in [284499.538420, 331683.976767], len(x) == 16
    y [m] in [6179931.186718, 6236328.948475], len(y) == 16
    t [s] in [0.000000, 2.100000], len(t) == 6
  Quantities [SI units]:
    stage in [-0.466352, 0.003401]
    xmomentum in [0.000000, 21.965894]
    ymomentum in [0.000000, 21.965894]
    elevation in [-0.340064, 46.635190]
Reading files most_small_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.000000], len(lat) == 4
    lon in [150.666670, 151.166670], len(lon) == 4
    t in [0.000000, 2.100000], len(t) == 6
  Amplitudes (ha) [cm] in [-46.635190, 0.340064]
  Speeds (ua) [cm/s] in [-46.635190, 0.340064]
  Speeds (va) [cm/s] in [-46.635190, 0.340064]
  Elevations (e) [m] in [-46.635190, 0.340064]
------------------------------------------------
Statistics:
    t in [0.000000, 2.100000], len(t) == 6
Making triangular grid
Converting quantities
  Doing 0 of 6
  Doing 1 of 6
  Doing 2 of 6
  Doing 3 of 6
  Doing 4 of 6
  Doing 5 of 6
------------------------------------------------
Statistics of output file:
  Name: most_small.sww
  Reference:
    Lower left corner: [0.000000, 0.000000]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 2.100000
  Extent:
    x [m] in [284499.538420, 331683.976767], len(x) == 16
    y [m] in [6179931.186718, 6236328.948475], len(y) == 16
    t [s] in [0.000000, 2.100000], len(t) == 6
  Quantities [SI units]:
    stage in [-0.466352, 0.003401]
    xmomentum in [0.000000, 21.965894]
    ymomentum in [0.000000, 21.965894]
    elevation in [-0.340064, 46.635190]
Reading files most_small_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.000000], len(lat) == 4
    lon in [150.666670, 151.166670], len(lon) == 4
    t in [0.000000, 2.100000], len(t) == 6
  Amplitudes (ha) [cm] in [-46.635190, 0.340064]
  Speeds (ua) [cm/s] in [-46.635190, 0.340064]
  Speeds (va) [cm/s] in [-46.635190, 0.340064]
  Elevations (e) [m] in [-46.635190, 0.340064]
------------------------------------------------
Statistics:
    t in [0.000000, 2.100000], len(t) == 6
Making triangular grid
Converting quantities
  Doing 0 of 6
  Doing 1 of 6
  Doing 2 of 6
  Doing 3 of 6
  Doing 4 of 6
  Doing 5 of 6
------------------------------------------------
Statistics of output file:
  Name: most_small.sww
  Reference:
    Lower left corner: [100000.000000, 200000.000000]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 2.100000
  Extent:
    x [m] in [184499.538420, 231683.976767], len(x) == 16
    y [m] in [5979931.186718, 6036328.948475], len(y) == 16
    t [s] in [0.000000, 2.100000], len(t) == 6
  Quantities [SI units]:
    stage in [-0.466352, 0.003401]
    xmomentum in [0.000000, 21.965894]
    ymomentum in [0.000000, 21.965894]
    elevation in [-0.340064, 46.635190]
Reading files most_small_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.000000], len(lat) == 4
    lon in [150.666670, 151.166670], len(lon) == 4
    t in [0.000000, 2.100000], len(t) == 6
  Amplitudes (ha) [cm] in [-46.635190, 0.340064]
  Speeds (ua) [cm/s] in [-46.635190, 0.340064]
  Speeds (va) [cm/s] in [-46.635190, 0.340064]
  Elevations (e) [m] in [-46.635190, 0.340064]
------------------------------------------------
Statistics:
    t in [0.000000, 2.100000], len(t) == 6
Making triangular grid
Converting quantities
  Doing 0 of 6
  Doing 1 of 6
  Doing 2 of 6
  Doing 3 of 6
  Doing 4 of 6
  Doing 5 of 6
------------------------------------------------
Statistics of output file:
  Name: most_small.sww
  Reference:
    Lower left corner: [0.000000, 0.000000]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 2.100000
  Extent:
    x [m] in [284499.538420, 331683.976767], len(x) == 16
    y [m] in [6179931.186718, 6236328.948475], len(y) == 16
    t [s] in [0.000000, 2.100000], len(t) == 6
  Quantities [SI units]:
    stage in [-0.466352, 0.003401]
    xmomentum in [0.000000, 21.965894]
    ymomentum in [0.000000, 21.965894]
    elevation in [-0.340064, 46.635190]
Reading files most_small_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.000000], len(lat) == 4
    lon in [150.666670, 151.166670], len(lon) == 4
    t in [0.000000, 2.100000], len(t) == 6
  Amplitudes (ha) [cm] in [-46.635190, 0.340064]
  Speeds (ua) [cm/s] in [-46.635190, 0.340064]
  Speeds (va) [cm/s] in [-46.635190, 0.340064]
  Elevations (e) [m] in [-46.635190, 0.340064]
------------------------------------------------
Statistics:
    t in [0.000000, 2.100000], len(t) == 6
Making triangular grid
Converting quantities
  Doing 0 of 6
  Doing 1 of 6
  Doing 2 of 6
  Doing 3 of 6
  Doing 4 of 6
  Doing 5 of 6
------------------------------------------------
Statistics of output file:
  Name: most_small.sww
  Reference:
    Lower left corner: [0.000000, 0.000000]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 2.100000
  Extent:
    x [m] in [284499.538420, 331683.976767], len(x) == 16
    y [m] in [6179931.186718, 6236328.948475], len(y) == 16
    t [s] in [0.000000, 2.100000], len(t) == 6
  Quantities [SI units]:
    stage in [-2.331759, 0.017003]
    xmomentum in [0.000000, 22.835830]
    ymomentum in [0.000000, 22.835830]
    elevation in [-0.340064, 46.635190]
Reading DEM from /tmp/tmpa9X8SW.000
Got 10  lines
Reading from datatest.sww
Output directory is datatest_depth
------------------------------------------------
Statistics of SWW file:
  Name: datatest.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [-0.000333, 0.001000]
    xmomentum in [-0.012250, 0.012250]
    ymomentum in [-0.012250, 0.012250]
    elevation in [-2.000000, 0.000000]
Processing quantity stage - elevation
Reducing quantity stage - elevation
Processed values for stage - elevation are in [0.001000, 2.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [0.001000, 2.000000]
Writing datatest_depth.prj
Writing datatest_depth.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading from datatest.sww
Output directory is datatest_elevation
------------------------------------------------
Statistics of SWW file:
  Name: datatest.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.012250, 0.012250]
    ymomentum in [-0.012250, 0.012250]
    elevation in [-2.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-2.000000, 0.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-2.000000, 0.000000]
Writing datatest_elevation.prj
Writing datatest_elevation.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading from datatest.sww
Output directory is datatest_depth
------------------------------------------------
Statistics of SWW file:
  Name: datatest.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [1.000000, 1.000000]
    xmomentum in [-0.012250, 0.012250]
    ymomentum in [-0.012250, 0.012250]
    elevation in [-2.000000, 0.000000]
Processing quantity stage-elevation
Reducing quantity stage-elevation
Processed values for stage-elevation are in [1.000000, 3.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [1.000000, 3.000000]
Writing datatest_depth.prj
Writing datatest_depth.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading from datatest.sww
Output directory is datatest_elevation
------------------------------------------------
Statistics of SWW file:
  Name: datatest.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 6
    y [m] in [0.000000, 1.000000], len(y) == 6
    t [s] in [0.000000, 0.000000], len(t) == 1
  Quantities [SI units]:
    stage in [-2.000000, 0.001000]
    xmomentum in [0.000000, 0.000000]
    ymomentum in [0.000000, 0.000000]
    elevation in [-2.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-2.000000, 0.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-2.000000, inf]
Writing datatest_elevation.prj
Writing datatest_elevation.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading from datatest.sww
Output directory is datatest_stage
------------------------------------------------
Statistics of SWW file:
  Name: datatest.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [-0.645111, 0.001000]
    xmomentum in [-0.017938, 0.059889]
    ymomentum in [0.000000, 0.024219]
    elevation in [-2.000000, 0.000000]
Processing quantity stage
Reducing quantity stage
Processed values for stage are in [-0.645111, 0.001000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-0.645111, 0.001000]
Writing datatest_stage.prj
Writing datatest_stage.asc
Doing row 0 of 5
Doing row 1 of 5
Doing row 2 of 5
Doing row 3 of 5
Doing row 4 of 5
Reading from datatest.sww
Output directory is datatest_elevation
------------------------------------------------
Statistics of SWW file:
  Name: datatest.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 100.000000], len(x) == 9
    y [m] in [0.000000, 100.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [-0.000333, 0.001000]
    xmomentum in [-1.225000, 1.225000]
    ymomentum in [-1.225000, 1.225000]
    elevation in [-200.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-200.000000, 0.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-170.000000, -80.000000]
Writing datatest_elevation.prj
Writing datatest_elevation.asc
Doing row 0 of 6
Doing row 1 of 6
Doing row 2 of 6
Doing row 3 of 6
Doing row 4 of 6
Doing row 5 of 6
Reading from datatest.sww
Output directory is datatest_elevation
------------------------------------------------
Statistics of SWW file:
  Name: datatest.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 100.000000], len(x) == 9
    y [m] in [0.000000, 100.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [-0.000333, 0.001000]
    xmomentum in [-1.225000, 1.225000]
    ymomentum in [-1.225000, 1.225000]
    elevation in [-200.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-200.000000, 0.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-200.000000, 0.000000]
Writing datatest_elevation.prj
Writing datatest_elevation.asc
Doing row 0 of 11
Doing row 2 of 11
Doing row 4 of 11
Doing row 6 of 11
Doing row 8 of 11
Doing row 10 of 11
Reading from  ./bedslope.sww
    getting quantities
    building domain
Reading from datatest.sww
Output directory is datatest_elevation
------------------------------------------------
Statistics of SWW file:
  Name: datatest.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [-0.645111, 0.001000]
    xmomentum in [-0.017938, 0.059889]
    ymomentum in [0.000000, 0.024219]
    elevation in [-2.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-2.000000, 0.000000]
Creating grid
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-2.000000, inf]
Writing datatest_elevation.ers
Reading from datatest.sww
------------------------------------------------
Statistics of SWW file:
  Name: datatest.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [-0.645111, 0.001000]
    xmomentum in [-0.017938, 0.059889]
    ymomentum in [0.000000, 0.024219]
    elevation in [-2.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-2.000000, 0.000000]
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-2.000000, 0.000000]
Reading from datatest.sww
------------------------------------------------
Statistics of SWW file:
  Name: datatest.sww
  Reference:
    Lower left corner: [308500.000000, 6189000.000000]
    Start time: 0.000000
  Extent:
    x [m] in [0.000000, 1.000000], len(x) == 9
    y [m] in [0.000000, 1.000000], len(y) == 9
    t [s] in [0.000000, 0.010000], len(t) == 3
  Quantities [SI units]:
    stage in [-0.645111, 0.001000]
    xmomentum in [-0.017938, 0.059889]
    ymomentum in [0.000000, 0.024219]
    elevation in [-2.000000, 0.000000]
Processing quantity elevation
Processed values for elevation are in [-2.000000, 0.000000]
FitInterpolate: Building mesh
FitInterpolate: Building quad tree
Interpolating
Interpolated values are in [-1.500000, -0.500000]
------------------------------------------------
Statistics:
    t in [0.000000, 10.000000], len(t) == 2
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [0.000000, 1.000000], len(lat) == 3
    y in [0.000000, 1.000000], len(lon) == 3
    z in [0.000000, 2.000000], len(z) == 3
geo_ref:  (zone=56 easting=0.000000, northing=0.000000)
------------------------------------------------
------------------------------------------------
Statistics:
    t in [0.000000, 10.000000], len(t) == 2
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [0.000000, 1.000000], len(lat) == 3
    y in [0.000000, 1.000000], len(lon) == 3
    z in [0.000000, 2.000000], len(z) == 3
geo_ref:  (zone=-1 easting=0.000000, northing=0.000000)
------------------------------------------------
------------------------------------------------
Statistics:
    t in [0.000000, 10.000000], len(t) == 2
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [-1.000000, 0.000000], len(lat) == 3
    y in [-1.000000, 0.000000], len(lon) == 3
    z in [0.000000, 2.000000], len(z) == 3
geo_ref:  (zone=56 easting=1.000000, northing=1.000000)
------------------------------------------------
------------------------------------------------
Statistics:
    t in [0.000000, 10.000000], len(t) == 2
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [-2.000000, -1.000000], len(lat) == 3
    y in [-1108708.000000, -1108707.000000], len(lon) == 3
    z in [0.000000, 2.000000], len(z) == 3
geo_ref:  (zone=56 easting=1.000000, northing=554354.000000)
------------------------------------------------
------------------------------------------------
Statistics:
    t in [0.000000, 10.000000], len(t) == 2
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [-1.000000, 0.000000], len(lat) == 3
    y in [-554354.000000, -554353.000000], len(lon) == 3
    z in [0.000000, 2.000000], len(z) == 3
geo_ref:  (zone=56 easting=1.000000, northing=554354.000000)
------------------------------------------------
Creating domain from /tmp/tmpZ1X38M.tsh
Number of triangles =  2
file_path /tmp
Output written to /tmp/tmpZ1X38M.sww
Reading files /tmp/tmpsP75_K_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.000000], len(lat) == 4
    lon in [150.666672, 151.166672], len(lon) == 4
    t in [0.000000, 1.000000], len(t) == 3
  Amplitudes (ha) [cm] in [28449953.125000, 33168396.875000]
  Speeds (ua) [cm/s] in [617993100.000000, 623632900.000000]
  Speeds (va) [cm/s] in [-33168396.875000, -28449953.125000]
  Elevations (e) [m] in [6179931.000000, 6236329.000000]
------------------------------------------------
Statistics:
    t in [0.000000, 1.000000], len(t) == 3
Making triangular grid
Converting quantities
  Doing 0 of 3
  Doing 1 of 3
  Doing 2 of 3
------------------------------------------------
Statistics of output file:
  Name: /tmp/tmpsP75_K.sww
  Reference:
    Lower left corner: [284499.700350, 6179931.190433]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 1.000000
  Extent:
    x [m] in [0.000000, 47184.437372], len(x) == 16
    y [m] in [0.000000, 56397.760939], len(y) == 16
    t [s] in [0.000000, 1.000000], len(t) == 3
  Quantities [SI units]:
    stage in [284500.531250, 331684.968750]
    xmomentum in [39957600530844.281250, 40954066282820.281250]
    ymomentum in [-2171613570828.125977, -1847712732832.305664]
    elevation in [-6236329.000000, -6179931.000000]
Reading files /tmp/tmpLmjuR6_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.000000], len(lat) == 4
    lon in [150.666672, 151.166672], len(lon) == 4
    t in [0.000000, 1.000000], len(t) == 3
  Amplitudes (ha) [cm] in [28449953.125000, 33168396.875000]
  Speeds (ua) [cm/s] in [617993100.000000, 623632900.000000]
  Speeds (va) [cm/s] in [-33168396.875000, -28449953.125000]
  Elevations (e) [m] in [6179931.000000, 6236329.000000]
------------------------------------------------
Statistics:
    t in [0.000000, 1.000000], len(t) == 3
Making triangular grid
Converting quantities
  Doing 0 of 3
  Doing 1 of 3
  Doing 2 of 3
------------------------------------------------
Statistics of output file:
  Name: /tmp/tmpLmjuR6.sww
  Reference:
    Lower left corner: [284499.700350, 6179931.190433]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 1.000000
  Extent:
    x [m] in [0.000000, 47184.437372], len(x) == 16
    y [m] in [0.000000, 56397.760939], len(y) == 16
    t [s] in [0.000000, 1.000000], len(t) == 3
  Quantities [SI units]:
    stage in [284500.531250, 331684.968750]
    xmomentum in [39957600530844.281250, 40954066282820.281250]
    ymomentum in [-2171613570828.125977, -1847712732832.305664]
    elevation in [-6236329.000000, -6179931.000000]
Reading files /tmp/tmpeGW9Np_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.000000], len(lat) == 4
    lon in [150.666672, 151.166672], len(lon) == 4
    t in [0.500000, 0.500000], len(t) == 1
  Amplitudes (ha) [cm] in [28449953.125000, 33168396.875000]
  Speeds (ua) [cm/s] in [617993100.000000, 623632900.000000]
  Speeds (va) [cm/s] in [-33168396.875000, -28449953.125000]
  Elevations (e) [m] in [6179931.000000, 6236329.000000]
------------------------------------------------
Statistics:
    t in [0.000000, 0.000000], len(t) == 1
Making triangular grid
Converting quantities
  Doing 0 of 1
------------------------------------------------
Statistics of output file:
  Name: /tmp/tmpeGW9Np.sww
  Reference:
    Lower left corner: [284499.700350, 6179931.190433]
 Start time: 0.500000
    Min time: 0.250000
    Max time: 0.750000
  Extent:
    x [m] in [0.000000, 47184.437372], len(x) == 16
    y [m] in [0.000000, 56397.760939], len(y) == 16
    t [s] in [0.500000, 0.500000], len(t) == 1
  Quantities [SI units]:
    stage in [284500.531250, 331684.968750]
    xmomentum in [39957600530844.281250, 40954066282820.281250]
    ymomentum in [-2171613570828.125977, -1847712732832.305664]
    elevation in [-6236329.000000, -6179931.000000]
Reading files /tmp/tmpVCpriP_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-21.500000, -21.000000], len(lat) == 2
    lon in [114.500000, 115.000000], len(lon) == 2
    t in [0.000000, 4.000000], len(t) == 3
  Amplitudes (ha) [cm] in [200.000000, 200.000000]
  Speeds (ua) [cm/s] in [500.000000, 500.000000]
  Speeds (va) [cm/s] in [1000.000000, 1000.000000]
  Elevations (e) [m] in [20.000000, 20.000000]
------------------------------------------------
Statistics:
    t in [0.000000, 4.000000], len(t) == 3
Making triangular grid
Converting quantities
  Doing 0 of 3
  Doing 1 of 3
  Doing 2 of 3
------------------------------------------------
Statistics of output file:
  Name: /tmp/tmpVCpriP.sww
  Reference:
    Lower left corner: [240116.263067, 7620442.471771]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 4.000000
  Extent:
    x [m] in [0.000000, 52695.231735], len(x) == 4
    y [m] in [0.000000, 56109.238069], len(y) == 4
    t [s] in [0.000000, 4.000000], len(t) == 3
  Quantities [SI units]:
    stage in [3.000000, 3.000000]
    xmomentum in [115.000000, 115.000000]
    ymomentum in [230.000000, 230.000000]
    elevation in [-20.000000, -20.000000]
Reading files /tmp/tmpky3ofU_*.nc
cropping
------------------------------------------------
Statistics:
  Extent (lat/lon):
    lat in [-34.500000, -34.000000], len(lat) == 4
    lon in [150.666672, 151.166672], len(lon) == 4
    t in [0.000000, 1.000000], len(t) == 3
  Amplitudes (ha) [cm] in [28449953.125000, 33168396.875000]
  Speeds (ua) [cm/s] in [617993100.000000, 623632900.000000]
  Speeds (va) [cm/s] in [-33168396.875000, -28449953.125000]
  Elevations (e) [m] in [6179931.000000, 6236329.000000]
------------------------------------------------
Statistics:
    t in [0.000000, 1.000000], len(t) == 3
Making triangular grid
Converting quantities
  Doing 0 of 3
  Doing 1 of 3
  Doing 2 of 3
------------------------------------------------
Statistics of output file:
  Name: /tmp/tmpky3ofU.sww
  Reference:
    Lower left corner: [0.000000, 0.000000]
 Start time: 0.000000
    Min time: 0.000000
    Max time: 1.000000
  Extent:
    x [m] in [284499.700350, 331684.137721], len(x) == 16
    y [m] in [6179931.190433, 6236328.951373], len(y) == 16
    t [s] in [0.000000, 1.000000], len(t) == 3
  Quantities [SI units]:
    stage in [284500.531250, 331684.968750]
    xmomentum in [39957600530844.281250, 40954066282820.281250]
    ymomentum in [-2171613570828.125977, -1847712732832.305664]
    elevation in [-6236329.000000, -6179931.000000]
Output to  /tmp/tmps-2ZFG.sww
------------------------------------------------
Statistics:
    t in [0.000000, 400.000000], len(t) == 2
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [0.000000, 51994.520860], len(lat) == 3
    y in [0.000000, 56109.238069], len(lon) == 3
    z in [-7676551.500000, -7620442.500000], len(z) == 3
geo_ref:  (zone=50 easting=240116.263067, northing=7620442.471771)
------------------------------------------------
Converting quantities
------------------------------------------------
More Statistics:
  stage in [9240116.265625, 9292110.781250]
  xmomentum in [128491596480334.562500, 130260809888123.109375]
  ymomentum in [-4956729195743.344727, -4061791325594.250000]
------------------------------------------------
Output to  /tmp/tmp8ejvAl.sww
------------------------------------------------
Statistics:
    t in [0.000000, 400.000000], len(t) == 2
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [-3194426.736933, -3142432.216073], len(lat) == 3
    y in [-26914100.528229, -26857991.290160], len(lon) == 3
    z in [-7676551.500000, -7620442.500000], len(z) == 3
geo_ref:  (zone=50 easting=3434543.000000, northing=34534543.000000)
------------------------------------------------
Converting quantities
------------------------------------------------
More Statistics:
  stage in [9240116.265625, 9292110.781250]
  xmomentum in [128491596480334.562500, 130260809888123.109375]
  ymomentum in [-4956729195743.344727, -4061791325594.250000]
------------------------------------------------
Output to  /tmp/tmptbHwUE.sww
------------------------------------------------
Statistics:
    t in [0.000000, 400.000000], len(t) == 2
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [216684.263067, 268678.783927], len(lat) == 3
    y in [7616099.471771, 7672208.709840], len(lon) == 3
    z in [-7676551.500000, -7620442.500000], len(z) == 3
geo_ref:  (zone=50 easting=23432.000000, northing=4343.000000)
------------------------------------------------
Converting quantities
------------------------------------------------
More Statistics:
  stage in [9240116.265625, 9292110.781250]
  xmomentum in [128491596480334.562500, 130260809888123.109375]
  ymomentum in [-4956729195743.344727, -4061791325594.250000]
------------------------------------------------
Output to  /tmp/tmpyPxcFF.sww
------------------------------------------------
Statistics:
    t in [0.000000, 300.000000], len(t) == 4
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [216684.263067, 268678.783927], len(lat) == 3
    y in [7616099.471771, 7672208.709840], len(lon) == 3
    z in [-7676551.500000, -7620442.500000], len(z) == 3
geo_ref:  (zone=50 easting=23432.000000, northing=4343.000000)
------------------------------------------------
Converting quantities
------------------------------------------------
More Statistics:
  stage in [9240116.265625, 9292110.781250]
  xmomentum in [128491596480334.562500, 130260809888123.109375]
  ymomentum in [-4956729195743.344727, -4061791325594.250000]
------------------------------------------------
Output to  /tmp/tmpMjmrbs.sww
------------------------------------------------
Statistics:
    t in [0.000000, 500.000000], len(t) == 6
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [216684.263067, 268678.783927], len(lat) == 3
    y in [7616099.471771, 7672208.709840], len(lon) == 3
    z in [-7676551.500000, -7620442.500000], len(z) == 3
geo_ref:  (zone=50 easting=23432.000000, northing=4343.000000)
------------------------------------------------
Converting quantities
------------------------------------------------
More Statistics:
  stage in [9240116.265625, 9292110.781250]
  xmomentum in [128491596480334.562500, 130260809888123.109375]
  ymomentum in [-4956729195743.344727, -4061791325594.250000]
------------------------------------------------
Output to  /tmp/tmpGqVGOj.sww
------------------------------------------------
Statistics:
    t in [0.000000, 500.000000], len(t) == 6
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [0.000000, 105359.101743], len(lat) == 16
    y in [0.000000, 112027.471392], len(lon) == 16
    z in [-7732470.000000, -7620442.500000], len(z) == 16
geo_ref:  (zone=50 easting=239259.686875, northing=7620442.471771)
------------------------------------------------
Converting quantities
------------------------------------------------
More Statistics:
  stage in [-1732.312500, 103626.781250]
  xmomentum in [58071148301374.570312, 60584350691620.312500]
  ymomentum in [-2691968972057.563477, -1836470223852.154541]
------------------------------------------------
Output to  /tmp/tmpHaRmcZ.sww
------------------------------------------------
Statistics:
    t in [0.000000, 500.000000], len(t) == 6
------------------------------------------------
More Statistics:
  Extent (/lon):
    x in [0.000000, 105359.101743], len(lat) == 8
    y in [0.000000, 112027.471392], len(lon) == 8
    z in [-7732470.000000, -7620442.500000], len(z) == 8
geo_ref:  (zone=50 easting=239259.686875, northing=7620442.471771)
------------------------------------------------
Converting quantities
------------------------------------------------
More Statistics:
  stage in [-1732.312500, 103626.781250]
  xmomentum in [58071148301374.570312, 60584350691620.312500]
  ymomentum in [-2691968972057.563477, -1836470223852.154541]
------------------------------------------------