Python Domain.distribute_to_vertices_and_edges方法代码示例

# 需要导入模块: from anuga.shallow_water.shallow_water_domain import Domain [as 别名]
# 或者: from anuga.shallow_water.shallow_water_domain.Domain import distribute_to_vertices_and_edges [as 别名]
    def test_inundation_damage_list(self):

        # create mesh
        mesh_file = tempfile.mktemp(".tsh")
        points = [[0.0, 0.0], [6.0, 0.0], [6.0, 6.0], [0.0, 6.0]]
        m = Mesh()
        m.add_vertices(points)
        m.auto_segment()
        m.generate_mesh(verbose=False)
        m.export_mesh_file(mesh_file)

        # Create shallow water domain
        domain = Domain(mesh_file)
        os.remove(mesh_file)

        domain.default_order = 2

        # Set some field values
        domain.set_quantity("elevation", elevation_function)
        domain.set_quantity("friction", 0.03)
        domain.set_quantity("xmomentum", 22.0)
        domain.set_quantity("ymomentum", 55.0)

        ######################
        # Boundary conditions
        B = Transmissive_boundary(domain)
        domain.set_boundary({"exterior": B})

        # This call mangles the stage values.
        domain.distribute_to_vertices_and_edges()
        domain.set_quantity("stage", 0.3)

        # sww_file = tempfile.mktemp("")
        domain.set_name("datatest" + str(time.time()))
        domain.format = "sww"
        domain.smooth = True
        domain.reduction = mean

        sww = SWW_file(domain)
        sww.store_connectivity()
        sww.store_timestep()
        domain.set_quantity("stage", -0.3)
        domain.time = 2.0
        sww.store_timestep()

        # Create a csv file
        csv_file = tempfile.mktemp(".csv")
        fd = open(csv_file, "wb")
        writer = csv.writer(fd)
        writer.writerow(["x", "y", STR_VALUE_LABEL, CONT_VALUE_LABEL, "ROOF_TYPE", WALL_TYPE_LABEL, SHORE_DIST_LABEL])
        writer.writerow([5.5, 0.5, "10", "130000", "Metal", "Timber", 20])
        writer.writerow([4.5, 1.0, "150", "76000", "Metal", "Double Brick", 20])
        writer.writerow([0.1, 1.5, "100", "76000", "Metal", "Brick Veneer", 300])
        writer.writerow([6.1, 1.5, "100", "76000", "Metal", "Brick Veneer", 300])
        fd.close()

        extension = ".csv"
        csv_fileII = tempfile.mktemp(extension)
        fd = open(csv_fileII, "wb")
        writer = csv.writer(fd)
        writer.writerow(["x", "y", STR_VALUE_LABEL, CONT_VALUE_LABEL, "ROOF_TYPE", WALL_TYPE_LABEL, SHORE_DIST_LABEL])
        writer.writerow([5.5, 0.5, "10", "130000", "Metal", "Timber", 20])
        writer.writerow([4.5, 1.0, "150", "76000", "Metal", "Double Brick", 20])
        writer.writerow([0.1, 1.5, "100", "76000", "Metal", "Brick Veneer", 300])
        writer.writerow([6.1, 1.5, "100", "76000", "Metal", "Brick Veneer", 300])
        fd.close()

        sww_file = domain.get_name() + "." + domain.format
        # print "sww_file",sww_file
        marker = "_gosh"
        inundation_damage(sww_file, [csv_file, csv_fileII], exposure_file_out_marker=marker, verbose=False)

        # Test one file
        csv_handle = Exposure(csv_file[:-4] + marker + extension)
        struct_loss = csv_handle.get_column(EventDamageModel.STRUCT_LOSS_TITLE)
        # print "struct_loss",struct_loss
        struct_loss = [float(x) for x in struct_loss]
        # pprint(struct_loss)
        assert num.allclose(struct_loss, [10.0, 150.0, 66.55333347876866, 0.0])
        depth = csv_handle.get_column(EventDamageModel.MAX_DEPTH_TITLE)
        # print "depth",depth
        depth = [float(x) for x in depth]
        assert num.allclose(depth, [3.000000011920929, 2.9166666785875957, 2.2666666785875957, -0.3])

        # Test another file
        csv_handle = Exposure(csv_fileII[:-4] + marker + extension)
        struct_loss = csv_handle.get_column(EventDamageModel.STRUCT_LOSS_TITLE)
        # print "struct_loss",struct_loss
        struct_loss = [float(x) for x in struct_loss]

        # pprint(struct_loss)
        assert num.allclose(struct_loss, [10.0, 150.0, 66.553333478768664, 0.0])
        depth = csv_handle.get_column(EventDamageModel.MAX_DEPTH_TITLE)
        # print "depth",depth
        depth = [float(x) for x in depth]
        assert num.allclose(depth, [3.000000011920929, 2.9166666785875957, 2.2666666785875957, -0.3])
        os.remove(sww.filename)
        os.remove(csv_file)
        os.remove(csv_fileII)

# 需要导入模块: from anuga.shallow_water.shallow_water_domain import Domain [as 别名]
# 或者: from anuga.shallow_water.shallow_water_domain.Domain import distribute_to_vertices_and_edges [as 别名]
    def setUp(self):
        # print "****set up****"
        # Create an sww file

        # Set up an sww that has a geo ref.
        # have it cover an area in Australia.  'gong maybe
        # Don't have many triangles though!

        # Site Name:    GDA-MGA: (UTM with GRS80 ellipsoid)
        # Zone:   56
        # Easting:  222908.705  Northing: 6233785.284
        # Latitude:   -34  0 ' 0.00000 ''  Longitude: 150  0 ' 0.00000 ''
        # Grid Convergence:  -1  40 ' 43.13 ''  Point Scale: 1.00054660

        # geo-ref
        # Zone:   56
        # Easting:  220000  Northing: 6230000

        # have  a big area covered.
        mesh_file = tempfile.mktemp(".tsh")
        points_lat_long = [[-33, 152], [-35, 152], [-35, 150], [-33, 150]]
        spat = Geospatial_data(data_points=points_lat_long, points_are_lats_longs=True)
        points_ab = spat.get_data_points(absolute=True)

        geo = Geo_reference(56, 400000, 6000000)
        spat.set_geo_reference(geo)
        m = Mesh()
        m.add_vertices(spat)
        m.auto_segment()
        m.generate_mesh(verbose=False)
        m.export_mesh_file(mesh_file)

        # Create shallow water domain
        domain = Domain(mesh_file)

        os.remove(mesh_file)

        domain.default_order = 2
        # Set some field values
        # domain.set_quantity('stage', 1.0)
        domain.set_quantity("elevation", -0.5)
        domain.set_quantity("friction", 0.03)

        ######################
        # Boundary conditions
        B = Transmissive_boundary(domain)
        domain.set_boundary({"exterior": B})

        ######################
        # Initial condition - with jumps
        bed = domain.quantities["elevation"].vertex_values
        stage = num.zeros(bed.shape, num.float)

        h = 0.3
        for i in range(stage.shape[0]):
            if i % 2 == 0:
                stage[i, :] = bed[i, :] + h
            else:
                stage[i, :] = bed[i, :]

        domain.set_quantity("stage", stage)
        domain.set_quantity("xmomentum", stage * 22.0)
        domain.set_quantity("ymomentum", stage * 55.0)

        domain.distribute_to_vertices_and_edges()

        self.domain = domain

        C = domain.get_vertex_coordinates()
        self.X = C[:, 0:6:2].copy()
        self.Y = C[:, 1:6:2].copy()

        self.F = bed

        # sww_file = tempfile.mktemp("")
        self.domain.set_name("tid_P0")
        self.domain.format = "sww"
        self.domain.smooth = True
        self.domain.reduction = mean

        sww = SWW_file(self.domain)
        sww.store_connectivity()
        sww.store_timestep()
        self.domain.time = 2.0
        sww.store_timestep()
        self.sww = sww  # so it can be deleted

        # Create another sww file
        mesh_file = tempfile.mktemp(".tsh")
        points_lat_long = [[-35, 152], [-36, 152], [-36, 150], [-35, 150]]
        spat = Geospatial_data(data_points=points_lat_long, points_are_lats_longs=True)
        points_ab = spat.get_data_points(absolute=True)

        geo = Geo_reference(56, 400000, 6000000)
        spat.set_geo_reference(geo)
        m = Mesh()
        m.add_vertices(spat)
        m.auto_segment()
        m.generate_mesh(verbose=False)
        m.export_mesh_file(mesh_file)
#.........这里部分代码省略.........

# 需要导入模块: from anuga.shallow_water.shallow_water_domain import Domain [as 别名]
# 或者: from anuga.shallow_water.shallow_water_domain.Domain import distribute_to_vertices_and_edges [as 别名]
    def setUp(self):
        import time
        
        self.verbose = Test_File_Conversion.verbose
        # Create basic mesh
        points, vertices, boundary = rectangular(2, 2)

        # Create shallow water domain
        domain = Domain(points, vertices, boundary)
        domain.default_order = 2

        # Set some field values
        domain.set_quantity('elevation', lambda x,y: -x)
        domain.set_quantity('friction', 0.03)


        ######################
        # Boundary conditions
        B = Transmissive_boundary(domain)
        domain.set_boundary( {'left': B, 'right': B, 'top': B, 'bottom': B})


        ######################
        #Initial condition - with jumps
        bed = domain.quantities['elevation'].vertex_values
        stage = num.zeros(bed.shape, num.float)

        h = 0.3
        for i in range(stage.shape[0]):
            if i % 2 == 0:
                stage[i,:] = bed[i,:] + h
            else:
                stage[i,:] = bed[i,:]

        domain.set_quantity('stage', stage)


        domain.distribute_to_vertices_and_edges()               
        self.initial_stage = copy.copy(domain.quantities['stage'].vertex_values)


        self.domain = domain

        C = domain.get_vertex_coordinates()
        self.X = C[:,0:6:2].copy()
        self.Y = C[:,1:6:2].copy()

        self.F = bed

        #Write A testfile (not realistic. Values aren't realistic)
        self.test_MOST_file = 'most_small'

        longitudes = [150.66667, 150.83334, 151., 151.16667]
        latitudes = [-34.5, -34.33333, -34.16667, -34]

        long_name = 'LON'
        lat_name = 'LAT'

        nx = 4
        ny = 4
        six = 6


        for ext in ['_ha.nc', '_ua.nc', '_va.nc', '_e.nc']:
            fid = NetCDFFile(self.test_MOST_file + ext, netcdf_mode_w)

            fid.createDimension(long_name,nx)
            fid.createVariable(long_name,netcdf_float,(long_name,))
            fid.variables[long_name].point_spacing='uneven'
            fid.variables[long_name].units='degrees_east'
            fid.variables[long_name][:] = longitudes

            fid.createDimension(lat_name,ny)
            fid.createVariable(lat_name,netcdf_float,(lat_name,))
            fid.variables[lat_name].point_spacing='uneven'
            fid.variables[lat_name].units='degrees_north'
            fid.variables[lat_name][:] = latitudes

            fid.createDimension('TIME',six)
            fid.createVariable('TIME',netcdf_float,('TIME',))
            fid.variables['TIME'].point_spacing='uneven'
            fid.variables['TIME'].units='seconds'
            fid.variables['TIME'][:] = [0.0, 0.1, 0.6, 1.1, 1.6, 2.1]


            name = ext[1:3].upper()
            if name == 'E.': name = 'ELEVATION'
            fid.createVariable(name,netcdf_float,('TIME', lat_name, long_name))
            fid.variables[name].units='CENTIMETERS'
            fid.variables[name].missing_value=-1.e+034

            fid.variables[name][:] = [[[0.3400644, 0, -46.63519, -6.50198],
                                              [-0.1214216, 0, 0, 0],
                                              [0, 0, 0, 0],
                                              [0, 0, 0, 0]],
                                             [[0.3400644, 2.291054e-005, -23.33335, -6.50198],
                                              [-0.1213987, 4.581959e-005, -1.594838e-007, 1.421085e-012],
                                              [2.291054e-005, 4.582107e-005, 4.581715e-005, 1.854517e-009],
                                              [0, 2.291054e-005, 2.291054e-005, 0]],
                                             [[0.3400644, 0.0001374632, -23.31503, -6.50198],
#.........这里部分代码省略.........