Пример #1
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def test_write_with_depths():
    '''
    tests writing a netcdf file with depth data
    '''

    fname = 'temp.nc'

    grid = two_triangles()
    grid.mesh_name='mesh1'

    # create a dataset object for the depths:
    depths = DataSet('depth', location='node', data=[1.0, 2.0, 3.0, 4.0])
    depths.attributes['units'] = 'm'
    depths.attributes["standard_name"] = "sea_floor_depth_below_geoid"
    depths.attributes["positive"] = "down"

    grid.add_data(depths)

    grid.save_as_netcdf(fname)

    with netCDF4.Dataset(fname) as ds:

        assert nc_has_variable(ds, 'mesh1')
        assert nc_has_variable(ds, 'depth')

        assert nc_var_has_attr_vals(ds, 'depth', {"coordinates" : "mesh1_node_lon mesh1_node_lat",
                                                  "location" : "node",
                                                  "mesh": "mesh1"})
Пример #2
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def test_write_with_edge_data():
    '''
    tests writing a netcdf file with data on the edges (fluxes, maybe?)
    '''
    fname = 'temp.nc'

    grid = two_triangles()
    grid.mesh_name = 'mesh2'

    # create a dataset object for fluxes:
    flux = DataSet('flux', location='edge', data=[0.0, 0.0, 4.1, 0.0, 5.1, ])
    flux.attributes['units'] = 'm^3/s'
    flux.attributes["long_name"] = "volume flux between cells"
    flux.attributes["standard_name"] = "ocean_volume_transport_across_line"

    grid.add_data(flux)
    #add coordinates for edges
    grid.build_edge_coordinates()

    grid.save_as_netcdf(fname)

    with netCDF4.Dataset(fname) as ds:

        assert nc_has_variable(ds, 'mesh2')
        assert nc_has_variable(ds, 'flux')

        assert nc_var_has_attr_vals(ds, 'flux', {
                                              "coordinates" : "mesh2_edge_lon mesh2_edge_lat",
                                              "location" : "edge",
                                              'units' : 'm^3/s',
                                              "mesh": "mesh2",
                                              })
        assert np.array_equal( ds.variables['mesh2_edge_lon'], grid.edge_coordinates[:,0] )
        assert np.array_equal( ds.variables['mesh2_edge_lat'], grid.edge_coordinates[:,1] )
Пример #3
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def test_add_boundary_data():

    grid = two_triangles()

    print grid.boundaries

    # add the boundary definitions:
    grid.boundaries = [(0,1),
                       (0,2),
                       (1,3),
                       (2,3),
                      ]
    # create a dataset object for boundary conditions:
    bnds = DataSet('bounds', location='boundary', data=[0, 1, 0, 0, 1])
    bnds.attributes["long_name"] = "model boundary conditions"

    # wrong size for data
    with pytest.raises(ValueError):
        grid.add_data(bnds)
    # correct data
    bnds.data = [0, 1, 0, 0]
    grid.add_data(bnds)

    assert grid.data['bounds'].name == 'bounds'
    assert np.array_equal( grid.data['bounds'].data, [0, 1, 0, 0] )
Пример #4
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def two_triangles_with_depths():
    grid = two_triangles()

    depths = DataSet('depth', location='node', data=[1.0, 2.0, 3.0, 4.0])
    depths.attributes['units'] = 'unknown'
    depths.attributes['standard_name'] = "sea_floor_depth_below_geoid"
    depths.attributes['positive'] = "down"
    grid.add_data(depths)

    return grid
Пример #5
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def two_triangles_with_depths():
    grid = two_triangles()

    depths = DataSet('depth', location='node', data=[1.0, 2.0, 3.0, 4.0])
    depths.attributes['units'] = 'unknown'
    depths.attributes['standard_name'] = "sea_floor_depth_below_geoid"
    depths.attributes['positive'] = "down"
    grid.add_data(depths)

    return grid
Пример #6
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def add_attributes():
    d = DataSet('depth', location='node', data=[1.0, 2.0, 3.0, 4.0])

    d.attributes = {"standard_name" : "sea_floor_depth_below_geoid",
                    "units" : "m",
                    "positive" : "down",
                    }

    assert d.attributes['units'] == 'm'
    assert d.attributes['posative'] == 'down'
Пример #7
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def add_attributes():
    d = DataSet('depth', location='node', data=[1.0, 2.0, 3.0, 4.0])

    d.attributes = {
        "standard_name": "sea_floor_depth_below_geoid",
        "units": "m",
        "positive": "down",
    }

    assert d.attributes['units'] == 'm'
    assert d.attributes['posative'] == 'down'
Пример #8
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def test_init():
    # create a dataset object for the depths:
    d = DataSet('depth', location='node', data=[1.0, 2.0, 3.0, 4.0])

    assert d.name == 'depth'
    assert np.array_equal(d.data, [1.0, 2.0, 3.0, 4.0])
    assert d.location == 'node'

    assert d.attributes == {}

    with pytest.raises(ValueError):
        d = DataSet('depth', location='nodes')
Пример #9
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def test_add_edge_data():

    grid = two_triangles()

    # create a dataset object for velocity:
    bnds = DataSet('bounds', location='edge', data=[0, 1, 0, 0, 1])
    bnds.attributes["standard_name"] = "boundary type"

    grid.add_data(bnds)

    assert grid.data['bounds'].name == 'bounds'
    assert np.array_equal( grid.data['bounds'].data, [0, 1, 0, 0, 1] )
Пример #10
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def twenty_one_triangles_with_depths():
    """
    returns a basic triangle grid with 21 triangles, a hole and a "tail"
    """
    grid = twenty_one_triangles()

    depths = DataSet('depth', location='node', data=range(1, 21))
    depths.attributes['units'] = 'unknown'
    depths.attributes['standard_name'] = "sea_floor_depth_below_geoid"
    depths.attributes['positive'] = "down"
    grid.add_data(depths)

    return grid
Пример #11
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def twenty_one_triangles_with_depths():
    """
    returns a basic triangle grid with 21 triangles, a hole and a "tail"
    """
    grid = twenty_one_triangles()

    depths = DataSet('depth', location='node', data=range(1, 21))
    depths.attributes['units'] = 'unknown'
    depths.attributes['standard_name'] = "sea_floor_depth_below_geoid"
    depths.attributes['positive'] = "down"
    grid.add_data(depths)

    return grid
Пример #12
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def test_no_std_name():
    """
    tests to make sure it doesn' crash if a DataSet does not have a standard_name
    """
    grid = two_triangles_with_depths()

    junk = DataSet('junk', location='node', data=[1.0, 2.0, 3.0, 4.0])
    junk.attributes['units'] = 'unknown'
    grid.add_data(junk)
    
    depths = find_depths(grid)

    assert depths.name == 'depth'
Пример #13
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def test_no_std_name():
    """
    tests to make sure it doesn' crash if a DataSet does not have a standard_name
    """
    grid = two_triangles_with_depths()

    junk = DataSet('junk', location='node', data=[1.0, 2.0, 3.0, 4.0])
    junk.attributes['units'] = 'unknown'
    grid.add_data(junk)

    depths = find_depths(grid)

    assert depths.name == 'depth'
Пример #14
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def test_add_face_data():

    grid = two_triangles()

    # create a dataset object for velocity:
    u_vel = DataSet('u', location='face', data=[1.0, 2.0])
    u_vel.attributes['units'] = 'm/s'
    u_vel.attributes["standard_name"] = "eastward_sea_water_velocity"

    grid.add_data(u_vel)

    assert grid.data['u'].name == 'u'
    assert grid.data['u'].attributes['units'] == 'm/s'
    assert np.array_equal( grid.data['u'].data, [1.0, 2.0] )
Пример #15
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def test_add_data():

    d = DataSet('depth', location='node')

    assert d.name == 'depth'
    assert np.array_equal(d.data, [])

    #add the data:
    d.data = [1.0, 2.0, 3.0, 4.0]

    assert np.array_equal(d.data, [1.0, 2.0, 3.0, 4.0])
    # duck type check of ndarray
    d.data *= 2
    assert np.array_equal(d.data, [2.0, 4.0, 6.0, 8.0])
Пример #16
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def test_add_data():

    d = DataSet('depth', location='node')

    assert d.name == 'depth'
    assert np.array_equal(d.data, [] )

    #add the data:
    d.data = [1.0, 2.0, 3.0, 4.0]

    assert np.array_equal(d.data, [1.0, 2.0, 3.0, 4.0] )
    # duck type check of ndarray
    d.data *= 2
    assert np.array_equal(d.data, [2.0, 4.0, 6.0, 8.0] )
Пример #17
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def test_add_node_data():

    grid = two_triangles()

    # create a dataset object for the depths:
    depths = DataSet('depth', location='node', data=[1.0, 2.0, 3.0, 4.0])
    depths.attributes['units'] = 'm'
    depths.attributes["standard_name"] = "sea_floor_depth"
    depths.attributes["positive"] = "down"

    grid.add_data(depths)

    assert grid.data['depth'].name == 'depth'
    assert grid.data['depth'].attributes['units'] == 'm'
    assert np.array_equal( grid.data['depth'].data, [1.0, 2.0, 3.0, 4.0] )
Пример #18
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def test_delete_data():
    # create a dataset object for the depths:
    d = DataSet('depth', location='node', data=[1.0, 2.0, 3.0, 4.0])

    del d.data

    assert np.array_equal(d.data, [])
Пример #19
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def test_with_just_nodes_and_depths():

    filename = '2_triangles_depth.nc'
    grid = two_triangles()
    del grid.faces
    del grid.edges

    depth_array = [1.0, 2.0, 3.0, 4.0]

    depth = DataSet('depth',
                    'node',
                    [1.0, 2.0, 3.0, 4.0],
                    {'units':'m',
                     'positive':'down',
                     'standard_name' : "sea_floor_depth_below_geoid",
                     })

    grid.add_data(depth)

    with chdir('files'):
        grid.save_as_netcdf(filename)

        # read it back in and check it out
        grid2 = UGrid.from_ncfile(filename, load_data=True)

    assert grid2.faces is None
    assert grid2.edges is None
    assert np.array_equal( grid2.nodes, grid.nodes )

    assert np.array_equal( grid2.data['depth'].data, depth_array )     
    assert grid2.data['depth'].attributes == depth.attributes     
Пример #20
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def test_write_with_bound_data():
    '''
    tests writing a netcdf file with data on the boundaries
    suitable for boundary conditions, for example --  (fluxes, maybe?)
    '''
    fname = 'temp.nc'

    grid = two_triangles() # using default mesh name
    # add the boundary definitions:
    grid.boundaries = [(0,1),
                       (0,2),
                       (1,3),
                       (2,3),
                      ]


    # create a dataset object for boundary conditions:
    bnds = DataSet('bnd_cond', location='boundary', data=[0, 1, 0, 0])
    bnds.attributes["long_name"] = "model boundary conditions"
    bnds.attributes["flag_values"] = "0 1"
    bnds.attributes["flag_meanings"] = "no_flow_boundary  open_boundary"

    grid.add_data(bnds)

    grid.save_as_netcdf(fname)

    with netCDF4.Dataset(fname) as ds:

        assert nc_has_variable(ds, 'mesh')
        assert nc_has_variable(ds, 'bnd_cond')

        assert nc_var_has_attr_vals(ds, 'mesh', {
                                              "boundary_node_connectivity" : "mesh_boundary_nodes",
                                              })

        assert nc_var_has_attr_vals(ds, 'bnd_cond', {
                                              "location" : "boundary",
                                              "flag_values" : "0 1",
                                              "flag_meanings" : "no_flow_boundary  open_boundary",
                                              "mesh": "mesh",
                                              })
        ## there should be no coordinates attribute or variable for the boundaries
        ##  as there is no boundaries_coordinates defined
        assert not nc_has_variable(ds, 'mesh_boundary_lon')
        assert not nc_has_variable(ds, 'mesh_boundary_lat')
        assert not nc_var_has_attr(ds, 'bnd_cond', 'coordinates')
Пример #21
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def test_add_all_data():
    '''
    you should not be able add a data dict directly
    '''
    grid = two_triangles()

    assert grid.data == {}

    with pytest.raises(AttributeError):
        grid.data = {'depth': DataSet('depth', location='node', data=[1.0, 2.0, 3.0, 4.0])}
Пример #22
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def test_add_face_data_wrong():
    """too short an array"""

    grid = two_triangles()

    # create a dataset object for velocity:
    u_vel = DataSet('u', location='face', data=[1.0])

    with pytest.raises(ValueError):
        grid.add_data(u_vel)
Пример #23
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def test_add_node_data_wrong():
    """too short an array"""

    grid = two_triangles()

    # create a dataset object for the depths:
    depths = DataSet('depth', location='node', data=[1.0, 2.0, 3.0])

    with pytest.raises(ValueError):
        grid.add_data(depths)
Пример #24
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def test_add_edge_data_wrong():
    """too long an array"""

    grid = two_triangles()

    # create a dataset object for velocity:
    # a miss-matched set
    bnds = DataSet('bounds', location='edge', data=[0, 1, 0, 0, 1, 3, 3])

    with pytest.raises(ValueError):
        grid.add_data(bnds)
Пример #25
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def test_write_with_velocities():
    '''
    tests writing a netcdf file with velocities on the faces
    '''

    fname = 'temp.nc'

    grid = two_triangles()
    grid.mesh_name = 'mesh2'

    # create a dataset object for u velocity:
    u_vel = DataSet('u', location='face', data=[1.0, 2.0])
    u_vel.attributes['units'] = 'm/s'
    u_vel.attributes["standard_name"] = "eastward_sea_water_velocity"

    grid.add_data(u_vel)

    # create a dataset object for v velocity:
    v_vel = DataSet('v', location='face', data=[3.2, 4.3])
    v_vel.attributes['units'] = 'm/s'
    v_vel.attributes["standard_name"] = "northward_sea_water_velocity"

    grid.add_data(v_vel)

    # add coordinates for face data
    grid.build_face_coordinates()

    grid.save_as_netcdf(fname)

    with netCDF4.Dataset(fname) as ds:
        assert nc_has_variable(ds, 'mesh2')
        assert nc_has_variable(ds, 'u')
        assert nc_has_variable(ds, 'v')

        assert nc_var_has_attr_vals(ds, 'u', {
                                              "coordinates" : "mesh2_face_lon mesh2_face_lat",
                                              "location" : "face",
                                              "mesh": "mesh2",
                                              })
Пример #26
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def test_write_everything():
    """ An example with all features enabled, and a less trivial grid """

    # use a small, but interesting grid
    fname = 'full_example.nc'

    grid = twenty_one_triangles() # using default mesh name
    grid.build_face_face_connectivity()
    grid.build_edges()

    grid.build_edge_coordinates()
    grid.build_face_coordinates()
    grid.build_boundary_coordinates()

    # depth on the nodes
    depths = DataSet('depth', location='node', data=np.linspace(1,10,20))
    depths.attributes['units'] = 'm'
    depths.attributes["standard_name"] = "sea_floor_depth_below_geoid"
    depths.attributes["positive"] = "down"

    grid.add_data(depths)

    # velocities on the faces:
    u_vel = DataSet('u', location='face', data=np.sin(np.linspace(3,12,21)))
    u_vel.attributes['units'] = 'm/s'
    u_vel.attributes["standard_name"] = "eastward_sea_water_velocity"

    grid.add_data(u_vel)

    # create a dataset object for v velocity:
    v_vel = DataSet('v', location='face', data=np.sin(np.linspace(12,15,21)))
    v_vel.attributes['units'] = 'm/s'
    v_vel.attributes["standard_name"] = "northward_sea_water_velocity"

    grid.add_data(v_vel)

    # fluxes on the edges:
    flux = DataSet('flux', location='edge', data=np.linspace(1000,2000,41))
    flux.attributes['units'] = 'm^3/s'
    flux.attributes["long_name"] = "volume flux between cells"
    flux.attributes["standard_name"] = "ocean_volume_transport_across_line"

    grid.add_data(flux)

    # Some boundary conditions:

    bounds = np.zeros( (19,), dtype=np.uint8 )
    bounds[7] = 1
    bnds = DataSet('bnd_cond', location='boundary', data=bounds)
    bnds.attributes["long_name"] = "model boundary conditions"
    bnds.attributes["flag_values"] = "0 1"
    bnds.attributes["flag_meanings"] = "no_flow_boundary  open_boundary"

    grid.add_data(bnds)

    grid.save_as_netcdf(fname)

    ## now the tests:
    with netCDF4.Dataset(fname) as ds:

        assert nc_has_variable(ds, 'mesh')
        assert nc_has_variable(ds, 'depth')

        assert nc_var_has_attr_vals(ds, 'depth', {"coordinates" : "mesh_node_lon mesh_node_lat",
                                                  "location" : "node"})

        assert nc_has_variable(ds, 'u')
        assert nc_has_variable(ds, 'v')

        assert nc_var_has_attr_vals(ds, 'u', {
                                              "coordinates" : "mesh_face_lon mesh_face_lat",
                                              "location" : "face",
                                              "mesh": "mesh"
                                              })

        assert nc_var_has_attr_vals(ds, 'v', {
                                              "coordinates" : "mesh_face_lon mesh_face_lat",
                                              "location" : "face",
                                              "mesh": "mesh",
                                              })

        assert nc_has_variable(ds, 'flux')

        assert nc_var_has_attr_vals(ds, 'flux', {
                                              "coordinates" : "mesh_edge_lon mesh_edge_lat",
                                              "location" : "edge",
                                              'units' : 'm^3/s',
                                              "mesh": "mesh",
                                              })
        assert nc_has_variable(ds, 'mesh')
        assert nc_has_variable(ds, 'bnd_cond')

        assert nc_var_has_attr_vals(ds, 'mesh', {
                                              "boundary_node_connectivity" : "mesh_boundary_nodes",
                                              })

        assert nc_var_has_attr_vals(ds, 'bnd_cond', {
                                              "location" : "boundary",
                                              "flag_values" : "0 1",
                                              "flag_meanings" : "no_flow_boundary  open_boundary",
                                              "mesh": "mesh",
                                              })
    # and make sure pyugrid can reload it!
    grid = UGrid.from_ncfile(fname,load_data=True)
    # and that some things are the same:
    # note:  more testing might be good here...
    #        maybe some grid comparison functions? 

    assert grid.mesh_name == 'mesh'

    print "grid data:", grid.data
    assert len(grid.nodes) == 20


    depth = grid.data['depth']
    assert depth.attributes['units'] == 'm'

    u = grid.data['u']
    assert u.attributes['units'] == 'm/s'
Пример #27
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def test_str():
    d = DataSet('depth', location='node', data=[1.0, 2.0, 3.0, 4.0])
    print(str(d))
    assert str(
        d
    ) == "DataSet object: depth, on the nodes, and 4 data points\nAttributes: {}"
Пример #28
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def test_write_everything():
    """ An example with all features enabled, and a less trivial grid """

    # use a small, but interesting grid
    fname = 'full_example.nc'

    grid = twenty_one_triangles() # using default mesh name
    grid.build_face_face_connectivity()
    grid.build_edges()

    grid.build_edge_coordinates()
    grid.build_face_coordinates()
    grid.build_boundary_coordinates()

    # depth on the nodes
    depths = DataSet('depth', location='node', data=np.linspace(1,10,20))
    depths.attributes['units'] = 'm'
    depths.attributes["standard_name"] = "sea_floor_depth_below_geoid"
    depths.attributes["positive"] = "down"

    grid.add_data(depths)

    # velocities on the faces:
    u_vel = DataSet('u', location='face', data=np.sin(np.linspace(3,12,21)))
    u_vel.attributes['units'] = 'm/s'
    u_vel.attributes["standard_name"] = "eastward_sea_water_velocity"

    grid.add_data(u_vel)

    # create a dataset object for v velocity:
    v_vel = DataSet('v', location='face', data=np.sin(np.linspace(12,15,21)))
    v_vel.attributes['units'] = 'm/s'
    v_vel.attributes["standard_name"] = "northward_sea_water_velocity"

    grid.add_data(v_vel)

    # fluxes on the edges:
    flux = DataSet('flux', location='edge', data=np.linspace(1000,2000,41))
    flux.attributes['units'] = 'm^3/s'
    flux.attributes["long_name"] = "volume flux between cells"

    grid.add_data(flux)

    # Some boundary conditions:

    print grid.boundaries.shape
    print grid.boundaries
    bounds = np.zeros( (19,), dtype=np.uint8 )
    bounds[7] = 1
    bnds = DataSet('bnd_cond', location='boundary', data=bounds)
    bnds.attributes["long_name"] = "model boundary conditions"
    bnds.attributes["flag_values"] = "0 1"
    bnds.attributes["flag_meanings"] = "no_flow_boundary  open_boundary"

    grid.add_data(bnds)

    grid.save_as_netcdf(fname)

    ## now the tests:
    with netCDF4.Dataset(fname) as ds:

        assert nc_has_variable(ds, 'mesh')
        assert nc_has_variable(ds, 'depth')

        assert nc_var_has_attr_vals(ds, 'depth', {"coordinates" : "mesh_node_lon mesh_node_lat",
                                                  "location" : "node"})

        assert nc_has_variable(ds, 'u')
        assert nc_has_variable(ds, 'v')

        assert nc_var_has_attr_vals(ds, 'u', {
                                              "coordinates" : "mesh_face_lon mesh_face_lat",
                                              "location" : "face",
                                              "mesh": "mesh"
                                              })

        assert nc_var_has_attr_vals(ds, 'v', {
                                              "coordinates" : "mesh_face_lon mesh_face_lat",
                                              "location" : "face",
                                              "mesh": "mesh",
                                              })

        assert nc_has_variable(ds, 'flux')

        assert nc_var_has_attr_vals(ds, 'flux', {
                                              "coordinates" : "mesh_edge_lon mesh_edge_lat",
                                              "location" : "edge",
                                              'units' : 'm^3/s',
                                              "mesh": "mesh",
                                              })
        assert nc_has_variable(ds, 'mesh')
        assert nc_has_variable(ds, 'bnd_cond')

        assert nc_var_has_attr_vals(ds, 'mesh', {
                                              "boundary_node_connectivity" : "mesh_boundary_nodes",
                                              })

        assert nc_var_has_attr_vals(ds, 'bnd_cond', {
                                              "location" : "boundary",
                                              "flag_values" : "0 1",
                                              "flag_meanings" : "no_flow_boundary  open_boundary",
                                              "mesh": "mesh",
                                              })