## Automatically adapted for numpy.oldnumeric Oct 28, 2008 by alter_code1.py """Class pmesh2domain - Converting .tsh files to doamains Copyright 2004 Ole Nielsen, Stephen Roberts, Duncan Gray, Christopher Zoppou Geoscience Australia """ import sys def pmesh_instance_to_domain_instance(mesh, DomainClass): """ Convert a pmesh instance/object into a domain instance. Use pmesh_to_domain_instance to convert a mesh file to a domain instance. """ vertex_coordinates, vertices, tag_dict, vertex_quantity_dict \ ,tagged_elements_dict, geo_reference = \ pmesh_to_domain(mesh_instance=mesh) # NOTE(Ole): This import cannot be at the module level due to mutual # dependency with domain.py from anuga.abstract_2d_finite_volumes.domain import Domain msg = 'The class %s is not a subclass of the generic domain class %s'\ %(DomainClass, Domain) assert issubclass(DomainClass, Domain), msg domain = DomainClass(coordinates = vertex_coordinates, vertices = vertices, boundary = tag_dict, tagged_elements = tagged_elements_dict, geo_reference = geo_reference ) # set the water stage to be the elevation if vertex_quantity_dict.has_key('elevation') and not vertex_quantity_dict.has_key('stage'): vertex_quantity_dict['stage'] = vertex_quantity_dict['elevation'] domain.set_quantity_vertices_dict(vertex_quantity_dict) #print "vertex_quantity_dict",vertex_quantity_dict return domain def pmesh_to_domain_instance(file_name, DomainClass, use_cache = False, verbose = False): """ Converts a mesh file(.tsh or .msh), to a Domain instance. file_name is the name of the mesh file to convert, including the extension DomainClass is the Class that will be returned. It must be a subclass of Domain, with the same interface as domain. use_cache: True means that caching is attempted for the computed domain. """ if use_cache is True: from caching import cache result = cache(_pmesh_to_domain_instance, (file_name, DomainClass), dependencies = [file_name], verbose = verbose) else: result = apply(_pmesh_to_domain_instance, (file_name, DomainClass)) return result def _pmesh_to_domain_instance(file_name, DomainClass): """ Converts a mesh file(.tsh or .msh), to a Domain instance. Internal function. See public interface pmesh_to_domain_instance for details """ vertex_coordinates, vertices, tag_dict, vertex_quantity_dict, \ tagged_elements_dict, geo_reference = \ pmesh_to_domain(file_name=file_name) # NOTE(Ole): This import cannot be at the module level due to mutual # dependency with domain.py from anuga.abstract_2d_finite_volumes.domain import Domain msg = 'The class %s is not a subclass of the generic domain class %s'\ %(DomainClass, Domain) assert issubclass(DomainClass, Domain), msg domain = DomainClass(coordinates = vertex_coordinates, vertices = vertices, boundary = tag_dict, tagged_elements = tagged_elements_dict, geo_reference = geo_reference ) #FIXME (Ole): Is this really the right place to apply the a default #value specific to the shallow water wave equation? #The 'assert' above indicates that any subclass of Domain is acceptable. #Suggestion - module shallow_water.py will eventually take care of this #(when I get around to it) so it should be removed from here. # This doesn't work on the domain instance. # This is still needed so -ve elevations don't cuase 'lakes' # The fixme we discussed was to only create a quantity when its values #are set. # I think that's the way to go still # set the water stage to be the elevation if vertex_quantity_dict.has_key('elevation') and not vertex_quantity_dict.has_key('stage'): vertex_quantity_dict['stage'] = vertex_quantity_dict['elevation'] domain.set_quantity_vertices_dict(vertex_quantity_dict) #print "vertex_quantity_dict",vertex_quantity_dict return domain def pmesh_to_domain(file_name=None, mesh_instance=None, use_cache=False, verbose=False): """ Convert a pmesh file or a pmesh mesh instance to a bunch of lists that can be used to instanciate a domain object. use_cache: True means that caching is attempted for the computed domain. """ if use_cache is True: from caching import cache result = cache(_pmesh_to_domain, (file_name, mesh_instance), dependencies = [file_name], verbose = verbose) else: result = apply(_pmesh_to_domain, (file_name, mesh_instance)) return result def _pmesh_to_domain(file_name=None, mesh_instance=None, use_cache=False, verbose=False): """ Convert a pmesh file or a pmesh mesh instance to a bunch of lists that can be used to instanciate a domain object. """ # from numpy.oldnumeric import transpose from numpy import transpose from load_mesh.loadASCII import import_mesh_file if file_name is None: mesh_dict = mesh_instance.Mesh2IODict() else: mesh_dict = import_mesh_file(file_name) #print "mesh_dict",mesh_dict vertex_coordinates = mesh_dict['vertices'] volumes = mesh_dict['triangles'] vertex_quantity_dict = {} point_atts = transpose(mesh_dict['vertex_attributes']) point_titles = mesh_dict['vertex_attribute_titles'] geo_reference = mesh_dict['geo_reference'] if point_atts != None: print 'type(point_atts)=%s' % type(point_atts) for quantity, value_vector in map(None, point_titles, point_atts): vertex_quantity_dict[quantity] = value_vector tag_dict = pmesh_dict_to_tag_dict(mesh_dict) tagged_elements_dict = build_tagged_elements_dictionary(mesh_dict) return vertex_coordinates, volumes, tag_dict, vertex_quantity_dict, tagged_elements_dict, geo_reference def build_tagged_elements_dictionary(mesh_dict): """Build the dictionary of element tags. tagged_elements is a dictionary of element arrays, keyed by tag: { (tag): [e1, e2, e3..] } """ tri_atts = mesh_dict['triangle_tags'] tagged_elements = {} if tri_atts is None: tagged_elements[''] = range(len(mesh_dict['triangles'])) else: for tri_att_index in range(len(tri_atts)): tagged_elements.setdefault(tri_atts[tri_att_index], []).append(tri_att_index) return tagged_elements def pmesh_dict_to_tag_dict(mesh_dict): """ Convert the pmesh dictionary (mesh_dict) description of boundary tags to a dictionary of tags, indexed with volume id and face number. """ triangles = mesh_dict['triangles'] sides = calc_sides(triangles) tag_dict = {} for seg, tag in map(None, mesh_dict['segments'], mesh_dict['segment_tags']): v1 = int(seg[0]) v2 = int(seg[1]) for key in [(v1,v2),(v2,v1)]: if sides.has_key(key) and tag <> "": #"" represents null. Don't put these into the dictionary #this creates a dict of lists of faces, indexed by tag #tagged_edges.setdefault(tag,[]).append(sides[key]) tag_dict[sides[key]] = tag return tag_dict def calc_sides(triangles): #Build dictionary mapping from sides (2-tuple of points) #to left hand side neighbouring triangle sides = {} for id, triangle in enumerate(triangles): a = int(triangle[0]) b = int(triangle[1]) c = int(triangle[2]) sides[a,b] = (id, 2) #(id, face) sides[b,c] = (id, 0) #(id, face) sides[c,a] = (id, 1) #(id, face) return sides