yac_replay.py File Reference

Go to the source code of this file.

Namespaces
namespace	yac_replay

Variables
	yac_replay.parser
	yac_replay.type
	yac_replay.default
	yac_replay.str
	yac_replay.nargs
	yac_replay.help
	yac_replay.WARNING
	yac_replay.args = parser.parse_args()
	yac_replay.log_handler = logging.StreamHandler()
	yac_replay.level
	yac_replay.log_level
	yac_replay.handlers
	yac_replay.y = yac.YAC()
	yac_replay.ds = ux.open_mfdataset(args.gridfile, args.datafile)
	yac_replay.comp = y.def_comp(args.compname)
list	yac_replay.fields = []
	yac_replay.cell_to_edge = np.asarray(ds.uxgrid.face_edge_connectivity).reshape((-1,), order="C")
	yac_replay.grid
	yac_replay.cell_point_id
	yac_replay.edge_point_id
	yac_replay.vertex_point_id
	yac_replay.grid_ds = xr.open_dataset(args.gridfile)
	yac_replay.mask_values = eval(args.cell_mask, globals=None, locals=grid_ds.variables)
	yac_replay.cell_mask
	yac_replay.edge_mask
	yac_replay.vertex_mask
	yac_replay.dt = np.diff(ds.coords["time"])
dict	yac_replay.spatial_axis = {"n_face", "n_edge", "n_node"} & set(var.dims)
	yac_replay.vaxis = set(var.dims) - {"time", "n_face", "n_edge", "n_node"}
	yac_replay.collection_size = np.asarray(ds[zcoord]).shape[0]
	yac_replay.point_id
	yac_replay.mask
	yac_replay.t0 = np.searchsorted(ds.coords["time"], np.datetime64(y.start_datetime))
	yac_replay.t = np.datetime64(field.datetime)
	yac_replay.t_idx = np.searchsorted(ds["time"], t)
	yac_replay.info = field.put(var.isel(time=t_idx).data)