def test_range_methods():
mb = core.Core()
coord = np.array((1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6),
dtype='float64')
range_a = mb.create_vertices(coord)
coord = np.array((2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6, 7, 7, 7),
dtype='float64')
range_b = mb.create_vertices(coord)
CHECK_EQ(range_a.all_of_dimension(0), True)
CHECK_EQ(range_b.all_of_dimension(0), True)
CHECK_EQ(range_a.all_of_dimension(1), False)
CHECK_EQ(range_b.all_of_dimension(1), False)
CHECK_EQ(range_a.num_of_dimension(0), range_a.size())
CHECK_EQ(range_b.num_of_dimension(0), range_b.size())
CHECK_EQ(range_a.num_of_dimension(1), 0)
CHECK_EQ(range_b.num_of_dimension(1), 0)
CHECK_EQ(range_a.num_of_type(types.MBVERTEX), range_a.size())
CHECK_EQ(range_b.num_of_type(types.MBVERTEX), range_b.size())
range_intersect = intersect(range_a, range_b)
CHECK_EQ(range_intersect.size(), 0)
range_unite = unite(range_a, range_b)
CHECK_EQ(range_unite.size(), 12)
range_subtract = subtract(range_a, range_b)
CHECK_EQ(range_subtract.size(), range_a.size())
range_a.erase(range_a[0])
CHECK_EQ(range_a.size(), 5)
all_verts = mb.get_entities_by_type(0, types.MBVERTEX)
CHECK_EQ(all_verts.size(), 12)
range_intersect = intersect(all_verts, range_a)
CHECK_EQ(range_intersect.size(), 5)
range_intersect = intersect(all_verts, range_b)
CHECK_EQ(range_intersect.size(), 6)
range_unite = unite(all_verts, range_a)
CHECK_EQ(range_unite.size(), 12)
range_unite = unite(all_verts, range_b)
CHECK_EQ(range_unite.size(), 12)
range_subtract = subtract(all_verts, range_a)
CHECK_EQ(range_subtract.size(), 7)
range_subtract = subtract(all_verts, range_b)
CHECK_EQ(range_subtract.size(), 6)
range_a.merge(range_b)
CHECK_EQ(range_a.size(), 11)
def __init__(self, mesh_file, dim=3):
self.dimension = dim
self.mb = core.Core()
self.root_set = self.mb.get_root_set()
self.mtu = topo_util.MeshTopoUtil(self.mb)
self.mb.load_file(mesh_file)
self.all_volumes = self.mb.get_entities_by_dimension(0, 3)
self.all_nodes = self.mb.get_entities_by_dimension(0, 0)
self.mtu.construct_aentities(self.all_nodes)
self.all_faces = self.mb.get_entities_by_dimension(0, 2)
self.all_edges = self.mb.get_entities_by_dimension(0, 1)
self.handleDic = {}
[self.boundary_nodes, self.boundary_edges, self.boundary_faces, self.boundary_volumes] = self.skinner_operation()
self.internal_nodes = rng.subtract(self.all_nodes, self.boundary_nodes)
self.internal_edges = rng.subtract(self.all_edges, self.boundary_edges)
self.internal_faces = rng.subtract(self.all_faces, self.boundary_faces)
self.internal_volumes = rng.subtract(self.all_volumes, self.boundary_volumes)
self.init_id()
self.check_integrity()
self.create_id_visualization()
# self.flag_dic = {}
[self.flag_list, self.flag_dic] = self.read_flags()
self.create_flag_visualization()
# swtich on/off
self.parallel_meshset = self.create_parallel_meshset()
self.create_parallel_visualization()
def get_pyramid_adjacencies(vertices, edges):
# Creating used ranges
aux1 = rng.Range()
aux2 = rng.Range()
base_node = rng.Range()
top_node = rng.Range()
# Discovering the top node of the pyramid
for e in vertex_handles:
adj = mesh_topo_util.get_bridge_adjacencies(e, 1, 0)
if len(adj) == 4:
top_node.insert(e)
# Defines the base nodes
base_nodes = rng.subtract(vertex_handles, top_node)
# Getting the base adjacencies of the point of reference
aux = mesh_topo_util.get_bridge_adjacencies(base_nodes[0], 1, 0)
aux = rng.subtract(top_node, aux)
aux1.insert(aux[0])
aux2.insert(aux[1])
base_node.insert(base_nodes[0])
coord1 = mbcore.get_coords(base_node)
coord2 = mbcore.get_coords(aux1)
coord3 = mbcore.get_coords(aux2)
coord4 = mbcore.get_coords(top_node)
order = ([coord1, coord2, coord3, coord4])
return order
def run(self):
self.root_set = self.mb.get_root_set()
self.father_root_set = self.root_set
self.level = 0
self.all_volumes = self.mb.get_entities_by_dimension(0, 3)
self.all_nodes = self.mb.get_entities_by_dimension(0, 0)
self.mtu.construct_aentities(self.all_nodes)
self.all_faces = self.mb.get_entities_by_dimension(0, 2)
self.all_edges = self.mb.get_entities_by_dimension(0, 1)
self.handleDic = {}
[
self.boundary_nodes, self.boundary_edges, self.boundary_faces,
self.boundary_volumes
] = self.skinner_operation()
self.internal_nodes = rng.subtract(self.all_nodes, self.boundary_nodes)
self.internal_edges = rng.subtract(self.all_edges, self.boundary_edges)
self.internal_faces = rng.subtract(self.all_faces, self.boundary_faces)
self.internal_volumes = rng.subtract(self.all_volumes,
self.boundary_volumes)
self.id_name = "GLOBAL_ID"
self.father_id_name = self.id_name
self.init_id()
[self.flag_list, self.flag_dic] = self.read_flags()
self.parallel_meshset = self.create_parallel_meshset()
self.create_parallel_tag()
def __init__(self, father_core, num, coarse_vec):
self.father_core = father_core
self.dimension = father_core.dimension
self.mb = father_core.mb
self.level = father_core.level + 1
self.coarse_num = num
self.father_root_set = father_core.root_set
self.root_set = self.mb.create_meshset(types.MESHSET_TRACK_OWNER)
self.mtu = father_core.mtu
self.handleDic = father_core.handleDic
if self.dimension == 3:
self.all_volumes = father_core.all_volumes[coarse_vec]
self.all_faces = self.mb.get_adjacencies(self.all_volumes,
2,
False,
op_type=types.UNION)
self.all_edges = self.mb.get_adjacencies(self.all_volumes,
1,
False,
op_type=types.UNION)
self.all_nodes = self.mb.get_adjacencies(self.all_volumes,
0,
False,
op_type=types.UNION)
elif self.dimension == 2:
self.all_volumes = rng.Range()
self.all_faces = father_core.all_faces[coarse_vec]
self.all_edges = self.access_handle(self.all_faces)
self.all_nodes = rng.Range(self.mb.get_connectivity(
self.all_faces))
self.mb.add_entities(self.root_set, self.all_volumes)
self.mb.add_entities(self.root_set, self.all_faces)
self.mb.add_entities(self.root_set, self.all_edges)
self.mb.add_entities(self.root_set, self.all_nodes)
all_entities = self.mb.get_entities_by_handle(self.root_set)
[
self.boundary_nodes, self.boundary_edges, self.boundary_faces,
self.boundary_volumes
] = self.skinner_operation()
self.internal_nodes = rng.subtract(self.all_nodes, self.boundary_nodes)
self.internal_edges = rng.subtract(self.all_edges, self.boundary_edges)
self.internal_faces = rng.subtract(self.all_faces, self.boundary_faces)
self.internal_volumes = rng.subtract(self.all_volumes,
self.boundary_volumes)
if self.level == 1:
self.id_name = "LOCAL_ID_L" + str(self.level) + "-" + str(
self.coarse_num)
self.father_id_name = self.father_core.id_name
else:
self.father_id_name = self.father_core.id_name
self.id_name = self.father_id_name + str("L") + str(
self.level) + "-" + str(self.coarse_num)
self.init_id()
self.flag_dic = {
key: [rng.intersect(all_entities, el) for el in value]
for (key, value) in father_core.flag_dic.items()
}
def fine_transmissibility_structured(mb, mtu, map_global, faces_in=None):
"""
"""
# mtu = topo_util.MeshTopoUtil(mb)
keq_tag = mb.tag_get_handle(OtherUtils.name_keq_tag)
s_grav_tag = mb.tag_get_handle(OtherUtils.name_s_grav)
perm_tag = mb.tag_get_handle(OtherUtils.name_perm_tag)
area_tag = mb.tag_get_handle(OtherUtils.name_area_tag)
elements = rng.Range(np.array(list(map_global.keys())))
n = len(elements)
all_keqs = []
all_s_gravs = []
if faces_in == None:
all_faces = utpy.get_faces(mb, rng.Range(elements))
# bound_faces = utpy.get_boundary_of_volumes(mb, elements)
# faces = rng.subtract(all_faces, bound_faces)
faces = rng.subtract(all_faces,
utpy.get_boundary_of_volumes(mb, elements))
else:
faces = faces_in
all_faces = utpy.get_faces(mb, rng.Range(elements))
T = sp.lil_matrix((n, n))
s = np.zeros(n)
# cont = 0
for face in faces:
#1
keq, s_grav, elems = OtherUtils.get_kequiv_by_face_quad(
mb, mtu, face, perm_tag, area_tag)
T[map_global[elems[0]], map_global[elems[1]]] = -keq
T[map_global[elems[1]], map_global[elems[0]]] = -keq
T[map_global[elems[0]], map_global[elems[0]]] += keq
T[map_global[elems[1]], map_global[elems[1]]] += keq
s_grav *= -1
s[map_global[elems[0]]] += s_grav
s[map_global[elems[1]]] -= s_grav
all_keqs.append(keq)
all_s_gravs.append(s_grav)
bound_faces = rng.subtract(all_faces, faces)
mb.tag_set_data(keq_tag, bound_faces, np.repeat(0.0, len(bound_faces)))
mb.tag_set_data(s_grav_tag, bound_faces,
np.repeat(0.0, len(bound_faces)))
mb.tag_set_data(keq_tag, faces, all_keqs)
mb.tag_set_data(s_grav_tag, faces, all_s_gravs)
if OtherUtils.gravity == True:
return T, s
else:
return T, np.zeros(n)
def calculate_pcorr(self, elements, vertex_elem, pcorr_tag, pms_tag,
keq_tag, faces, boundary_faces, volumes_d, volumes_n):
map_local = dict(zip(elems, range(len(elems))))
n = len(elems)
T = sp.lil_matrix((n, n))
b = np.zeros(n)
for i, face in enumerate(faces):
elems = self.mb.get_adjacencies(face, 3)
keq, s_grav, elems = self.get_mobi_by_face_quad_bif(face, keq_tag)
if face in boundary_faces:
p = self.mb.tag_get_data(pms_tag, elems, flat=True)
flux = (p[1] - p[0]) * keq
if self.gravity == True:
flux += s_grav
b[map_local[elems[0]]] += flux
b[map_local[elems[1]]] -= flux
continue
T[map_local[elems[0]], map_local[elems[1]]] = -keq
T[map_local[elems[1]], map_local[elems[0]]] = -keq
T[map_local[elems[0]], map_local[elems[0]]] += keq
T[map_local[elems[1]], map_local[elems[1]]] += keq
T[map_local[vertex], map_local[vertex]] = 1
p = self.mb.tag_get_data(pms_tag, vertex, flat=True)[0]
b[map_local[vertex]] = p
bound1 = rng.intersect(elems, volumes_d)
bound1 = rng.subtract(bound1, vertex)
if len(bound1) > 0:
ids = np.array([map_local[v] for v in bound1])
T[ids] = sp.lil_matrix((len(ids), n))
T[ids, ids] = np.ones(len(ids))
ps = self.mb.tag_get_data(pms_tag, bound1, flat=True)
b[ids] = ps
bound2 = rng.intersect(elems, volumes_n)
bound2 = rng.subtract(bound2, vertex)
if len(bound2) > 0:
ids = np.array([map_local[v] for v in bound2])
qs = self.mb.tag_get_data(self.list_tags[3], bound2, flat=True)
b[ids] += qs
x = linalg.spsolve(T, b)
self.mb.tag_set_data(pcorr_tag, elements, x)
def all_coarse_neighbors(self):
trange = rng.Range()
for el in self.coarse_neighbors_dic.values():
trange = rng.unite(trange, el)
if self.is_on_father_boundary:
trange = rng.subtract(trange, self.coarse_neighbors_dic[max(self.coarse_neighbors_dic.keys())])
return self.read(trange)
def remove_vol(self, element):
tetra_remove = rng.intersect(self.all_elements, element)
tetra_remaining = rng.subtract(self.all_elements, tetra_remove)
#import pdb; pdb.set_trace()
faces = rng.subtract(self.adjs(tetra_remove, 2), self.adjs(tetra_remaining,2))
edges = rng.subtract(self.adjs(tetra_remove, 1), self.adjs(tetra_remaining,1))
nodes = rng.subtract(self.adjs(tetra_remove, 0), self.adjs(tetra_remaining,0))
self.mb.delete_entity(tetra_remove)
self.mb.delete_entity(faces)
self.mb.delete_entity(edges)
self.mb.delete_entity(nodes)
self.all_elements = self.mb.get_entities_by_dimension(0, 3)
self.nodes = self.mb.get_entities_by_dimension(0, 0)
self.faces = self.skinner(self.all_elements)
self.boundary_nodes = self.find_boundary_nodes()
self.boundary_elements = self.find_boundary_elements()
def get_vizinhos_de_face(self):
n_levels = self.n_levels
# n_levels = 1 # colocar vizinhos de face apenas no nivel grosso 1
name_vizinhos_tag = 'VIZINHOS_FACE_LV_'
for i in range(n_levels):
meshsets_vistos = set()
meshsets = self.mesh.entities['coarse_volumes_lv' + str(i + 1)]
fine_to_primal_tag = self.mesh.tags['FINE_TO_PRIMAL_CLASSIC_' +
str(i + 1)]
primal_id_tag = self.mesh.tags['PRIMAL_ID_' + str(i + 1)]
todos_elementos_vizinhos = dict()
for m in meshsets:
elems_in_meshset = self.mesh.mb.get_entities_by_handle(m)
elems_fora = self.mesh.mtu.get_bridge_adjacencies(
elems_in_meshset, 2, 3)
elems_fora = rng.subtract(elems_fora, elems_in_meshset)
ids_meshsets_vizinhos = np.unique(
self.mesh.mb.tag_get_data(fine_to_primal_tag,
elems_fora,
flat=True))
meshsets_vizinhos1 = todos_elementos_vizinhos.setdefault(
m, list())
for j in ids_meshsets_vizinhos:
m2 = self.mesh.mb.get_entities_by_type_and_tag(
0, types.MBENTITYSET, np.array([primal_id_tag]),
np.array([j]))[0]
elems_in_m2 = self.mesh.mb.get_entities_by_handle(m2)
if set([m2]) & meshsets_vistos:
continue
meshsets_vizinhos1.append(m2)
meshsets_vizinhos2 = todos_elementos_vizinhos.setdefault(
m2, list())
meshsets_vizinhos2.append(m)
meshsets_vistos.add(m)
name = name_vizinhos_tag + str(i + 1)
n = 6
tipo = 'array'
entitie = 'coarse_volumes_lv' + str(i + 1)
t1 = types.MB_TYPE_HANDLE
t2 = types.MB_TAG_SPARSE
getting_tag(self.mesh.mb, name, n, t1, t2, True, entitie, tipo,
self.mesh.tags, self.mesh.tags_to_infos,
self.mesh.entities_to_tags)
tag_vizinhos = self.mesh.tags[name]
for m, vizinhos in todos_elementos_vizinhos.items():
n2 = len(vizinhos)
if n2 < 6:
for i in range(6 - n2):
m3 = self.mesh.mb.create_meshset()
vizinhos.append(m3)
self.mesh.mb.tag_set_data(tag_vizinhos, m, vizinhos)
def set_faces_in_boundary_by_meshsets(mb, mtu, meshsets,
faces_boundary_meshset_tag, M):
all_faces_on_boundary = mb.create_meshset()
meshsets = list(meshsets)
n = len(meshsets)
ms0 = set()
# for m1 in meshsets:
# ms0.add(m1)
# cont = 0
# elems1 = mb.get_entities_by_handle(m1)
# faces1 = mtu.get_bridge_adjacencies(elems1, 2, 2)
# for m2 in meshsets:
# if m2 in ms0:
# continue
# elems2 = mb.get_entities_by_handle(m2)
# faces2 = mtu.get_bridge_adjacencies(elems2, 2, 2)
# intersect = rng.intersect(faces1, faces2)
# if len(intersect) < 1:
# continue
# cont+=1
# mb.add_entities(all_faces_on_boundary, intersect)
# print(cont)
# if cont > 3:
# print(i)
# print(cont)
# import pdb; pdb.set_trace()
# import pdb; pdb.set_trace()
for m1 in meshsets:
cont = 0
elems1 = mb.get_entities_by_handle(m1)
faces1 = mtu.get_bridge_adjacencies(elems1, 3, 2)
# for face in faces1:
# elems = mb.get_adjacencies(face, 3)
# if len(elems) < 2:
# continue
# if elems[0] in elems1 and elems[1] in elems1:
# continue
# mb.add_entities(all_faces_on_boundary, rng.Range(face))
elems2 = mtu.get_bridge_adjacencies(elems1, 2, 3)
elems3 = rng.subtract(elems2, elems1)
try:
faces3 = mtu.get_bridge_adjacencies(elems3, 3, 2)
faces_cont = rng.intersect(faces3, faces1)
except Exception as e:
faces_cont = faces1
mb.add_entities(all_faces_on_boundary, faces_cont)
mb.tag_set_data(faces_boundary_meshset_tag, M.core.root_set,
all_faces_on_boundary)
def set_k1_test(mb, perm_tag, all_volumes, all_centroids):
k01 = 1.0
k02 = 100.0
k1 = [k01, 0.0, 0.0,
0.0, k01, 0.0,
0.0, 0.0, k01]
k2 = [k02, 0.0, 0.0,
0.0, k02, 0.0,
0.0, 0.0, k02]
b1 = np.array([np.array([200, 0, 0]), np.array([220, 200, 90])])
b2 = np.array([np.array([400, 100, 0]), np.array([420, 300, 90])])
inds0 = np.where(all_centroids[:,0] > b1[0,0])[0]
inds1 = np.where(all_centroids[:,1] > b1[0,1])[0]
inds2 = np.where(all_centroids[:,2] > b1[0,2])[0]
c1 = set(inds0) & set(inds1) & set(inds2)
inds0 = np.where(all_centroids[:,0] < b1[1,0])[0]
inds1 = np.where(all_centroids[:,1] < b1[1,1])[0]
inds2 = np.where(all_centroids[:,2] < b1[1,2])[0]
c2 = set(inds0) & set(inds1) & set(inds2)
inds_vols1 = np.array(list(c1 & c2))
inds0 = np.where(all_centroids[:,0] > b2[0,0])[0]
inds1 = np.where(all_centroids[:,1] > b2[0,1])[0]
inds2 = np.where(all_centroids[:,2] > b2[0,2])[0]
c1 = set(inds0) & set(inds1) & set(inds2)
inds0 = np.where(all_centroids[:,0] < b2[1,0])[0]
inds1 = np.where(all_centroids[:,1] < b2[1,1])[0]
inds2 = np.where(all_centroids[:,2] < b2[1,2])[0]
c2 = set(inds0) & set(inds1) & set(inds2)
inds_vols2 = np.array(list(c1 & c2))
volsk1 = rng.Range(np.array(all_volumes)[inds_vols1])
volsk2 = rng.Range(np.array(all_volumes)[inds_vols2])
volsk1 = rng.Range(set(volsk1) | set(volsk2))
volsk2 = rng.subtract(all_volumes, volsk1)
for v in volsk1:
mb.tag_set_data(perm_tag, v, k1)
for v in volsk2:
mb.tag_set_data(perm_tag, v , k2)
testk1_tag = mb.tag_get_handle('testk1', 1, types.MB_TYPE_DOUBLE, types.MB_TAG_SPARSE, True)
testk2_tag = mb.tag_get_handle('testk2', 1, types.MB_TYPE_DOUBLE, types.MB_TAG_SPARSE, True)
mb.tag_set_data(testk1_tag, volsk1, np.repeat(k01, len(volsk1)))
mb.tag_set_data(testk2_tag, volsk2, np.repeat(k02, len(volsk2)))
def get_adjs_volumes(self, MM):
MM.all_intern_faces = rng.subtract(MM.all_faces, MM.all_faces_boundary)
MM.all_intern_adjacencies = np.array([
np.array(MM.mb.get_adjacencies(face, 3))
for face in MM.all_intern_faces
])
MM.all_adjacent_volumes = []
MM.all_adjacent_volumes.append(
MM.mb.tag_get_data(MM.ID_reordenado_tag,
np.array(MM.all_intern_adjacencies[:, 0]),
flat=True))
MM.all_adjacent_volumes.append(
MM.mb.tag_get_data(MM.ID_reordenado_tag,
np.array(MM.all_intern_adjacencies[:, 1]),
flat=True))
def calculate_total_flux(self, ids0, ids1, mobi_in_faces, s_grav_f, Pf,
fw_in_faces, volumes, gravity):
t1 = time.time()
tags_1 = self.tags
mb = self.mb
meshset_vertices = self.mv
meshset_vertices_nv2 = self.mv2
mtu = self.mtu
boundary_faces = self.all_boundary_faces
elems_nv0 = mb.get_entities_by_type_and_tag(
0, types.MBHEX, np.array([tags_1['l3_ID']]), np.array([1]))
vertices_nv1 = mb.get_entities_by_type_and_tag(
meshset_vertices, types.MBHEX, np.array([tags_1['l3_ID']]),
np.array([2]))
vertices_nv2 = mb.get_entities_by_type_and_tag(
meshset_vertices_nv2, types.MBHEX, np.array([tags_1['l3_ID']]),
np.array([3]))
k = 0
self.calc_pcorr_nv(vertices_nv1, k, tags_1['FINE_TO_PRIMAL1_CLASSIC'])
k = 1
self.calc_pcorr_nv(vertices_nv2, k, tags_1['FINE_TO_PRIMAL2_CLASSIC'])
faces = mtu.get_bridge_adjacencies(elems_nv0, 3, 2)
faces = rng.subtract(faces, boundary_faces)
self.set_flux_pms_elems_nv0(elems_nv0, faces, tags_1['PMS2'])
t2 = time.time()
dt = t2 - t1
print('correcao: ', dt)
volumes = self.wirebasket_elems_nv0
fluxos = self.mb.tag_get_data(self.tags['TOTAL_FLUX'],
volumes,
flat=True)
fluxos_w = self.mb.tag_get_data(self.tags['FLUX_W'],
volumes,
flat=True)
flux_in_faces = self.mb.tag_get_data(self.tags['FLUX_IN_FACES'],
self.all_faces_in,
flat=True)
fw_in_faces = self.mb.tag_get_data(self.tags['FW_IN_FACES'],
self.all_faces_in,
flat=True)
flux_w_in_faces = flux_in_faces * fw_in_faces
return fluxos, fluxos_w, flux_in_faces, flux_w_in_faces
def run_2_v2(t):
print('entrou run2')
t0 = time.time()
elems_nv0 = mb.get_entities_by_type_and_tag(0, types.MBHEX,
np.array([tags_1['l3_ID']]),
np.array([1]))
vertices_nv1 = mb.get_entities_by_type_and_tag(meshset_vertices,
types.MBHEX,
np.array([tags_1['l3_ID']]),
np.array([0]))
vertices_nv1 = rng.subtract(mb.get_entities_by_handle(meshset_vertices),
vertices_nv1)
bif_utils.calculate_pcorr_v3(mb, bound_faces_nv[0], tags_1['PMS2'],
tags_1['PCORR2'], vertices_nv1, tags_1,
all_volumes)
mb.write_file('exemplo.vtk', [vv])
pdb.set_trace()
def get_boundary_faces(self):
all_boundary_faces = self.mb.create_meshset()
intern_faces_set = self.mb.create_meshset()
for face in self.all_faces:
elems = self.mtu.get_bridge_adjacencies(face, 2, 3)
if len(elems) < 2:
self.mb.add_entities(all_boundary_faces, [face])
self.mb.tag_set_data(self.tags['BOUNDARY_FACES'], 0,
all_boundary_faces)
self.all_boundary_faces = self.mb.get_entities_by_handle(
all_boundary_faces)
self.intern_faces = rng.subtract(self.all_faces,
self.all_boundary_faces)
self.mb.add_entities(intern_faces_set, self.intern_faces)
self.mb.tag_set_data(self.tags['INTERN_FACES'], 0, intern_faces_set)
self.mb.tag_set_data(self.tags['GIDS_INTERN_FACES'], self.intern_faces,
np.arange(len(self.intern_faces)))
def fine_transmissibility_structured_bif(self,
map_global,
mobi_tag,
faces_in=None):
"""
"""
# mtu = topo_util.MeshTopoUtil(mb)
s_grav_tag = self.mb.tag_get_handle(OtherUtils.name_s_grav)
elements = rng.Range(np.array(list(map_global.keys())))
n = len(elements)
all_s_gravs = []
if faces_in == None:
all_faces = utpy.get_faces(mb, rng.Range(elements))
# bound_faces = utpy.get_boundary_of_volumes(mb, elements)
# faces = rng.subtract(all_faces, bound_faces)
faces = rng.subtract(all_faces,
utpy.get_boundary_of_volumes(mb, elements))
else:
faces = faces_in
all_faces = utpy.get_faces(mb, rng.Range(elements))
T = sp.lil_matrix((n, n))
s = np.zeros(n)
# cont = 0
for face in faces:
#1
keq, s_grav, elems = self.get_mobi_by_face_quad_bif(face, mobi_tag)
T[map_global[elems[0]], map_global[elems[1]]] = -keq
T[map_global[elems[1]], map_global[elems[0]]] = -keq
T[map_global[elems[0]], map_global[elems[0]]] += keq
T[map_global[elems[1]], map_global[elems[1]]] += keq
s[map_global[elems[0]]] += s_grav
s[map_global[elems[1]]] -= s_grav
all_s_gravs.append(s_grav)
self.mb.tag_set_data(s_grav_tag, faces, all_s_gravs)
if OtherUtils.gravity == True:
return T, s
else:
return T, np.zeros(n)
def get_OP_adm_nv1(mb, all_volumes, OP_AMS, ID_reord_tag, L1_ID_tag, L3_ID_tag, d1_tag, fine_to_primal1_classic_tag):
elems_nv0 = mb.get_entities_by_type_and_tag(0, types.MBHEX, np.array([L3_ID_tag]), np.array([1]))
elems_nv1 = rng.subtract(all_volumes, elems_nv0)
gids_nv1_elems_nv1 = np.unique(mb.tag_get_data(L1_ID_tag, elems_nv1, flat=True))
gids_elems_nv0 = mb.tag_get_data(ID_reord_tag, elems_nv0, flat=True)
gids_adm_nv1_elems_nv0 = mb.tag_get_data(L1_ID_tag, elems_nv0, flat=True)
all_ids_nv1 = np.unique(mb.tag_get_data(L1_ID_tag, all_volumes, flat=True))
OP_adm_nv1 = sp.lil_matrix((len(all_volumes), len(all_ids_nv1)))
vertex_elems = mb.get_entities_by_type_and_tag(0, types.MBHEX, np.array([d1_tag]), np.array([3]))
id_nv1_op_classic_vertex_elems = mb.tag_get_data(fine_to_primal1_classic_tag, vertex_elems, flat=True)
id_adm_nv1_vertex_elems = mb.tag_get_data(L1_ID_tag, vertex_elems, flat=True)
OP_adm_nv1[:, id_adm_nv1_vertex_elems] = OP_AMS[:, id_nv1_op_classic_vertex_elems]
# for id_adm, id_classic in zip(id_adm_nv1_vertex_elems, id_nv1_op_classic_vertex_elems):
# OP_adm_nv1[:,id_adm] = OP_AMS[:,id_classic]
OP_adm_nv1[gids_elems_nv0] = sp.lil_matrix((len(gids_elems_nv0), len(all_ids_nv1)))
OP_adm_nv1[gids_elems_nv0, gids_adm_nv1_elems_nv0] = np.ones(len(gids_elems_nv0))
return OP_adm_nv1
def get_OR_adm_nv1(mb, all_volumes, ID_reord_tag, L1_ID_tag, L3_ID_tag):
elems_nv0 = mb.get_entities_by_type_and_tag(0, types.MBHEX,
np.array([L3_ID_tag]),
np.array([1]))
elems_nv1 = rng.subtract(all_volumes, elems_nv0)
gids_nv1_elems_nv1 = np.unique(
mb.tag_get_data(L1_ID_tag, elems_nv1, flat=True))
gids_elems_nv0 = mb.tag_get_data(ID_reord_tag, elems_nv0, flat=True)
gids_nv1_elems_nv0 = mb.tag_get_data(L1_ID_tag, elems_nv0, flat=True)
all_ids_nv1 = np.unique(mb.tag_get_data(L1_ID_tag, all_volumes, flat=True))
OR = sp.lil_matrix((len(all_ids_nv1), len(all_volumes)))
OR[gids_nv1_elems_nv0, gids_elems_nv0] = np.ones(len(elems_nv0))
ms1 = set()
for id in gids_nv1_elems_nv1:
elems = mb.get_entities_by_type_and_tag(0, types.MBHEX,
np.array([L1_ID_tag]),
np.array([id]))
gids_nv0_elems = mb.tag_get_data(ID_reord_tag, elems, flat=True)
OR[np.repeat(id, len(elems)), gids_nv0_elems] = np.ones(len(elems))
return OR
def set_keq_structured(self):
v0 = self.all_volumes[0]
nodes = self.mtu.get_bridge_adjacencies(v0, 3, 0)
coords_nodes = self.mb.get_coords(nodes).reshape([len(nodes), 3])
xmin = coords_nodes[:, 0].min()
xmax = coords_nodes[:, 0].max()
ymin = coords_nodes[:, 1].min()
ymax = coords_nodes[:, 1].max()
zmin = coords_nodes[:, 2].min()
zmax = coords_nodes[:, 2].max()
hs = np.array([xmax - xmin, ymax - ymin, zmax - zmin])
faces_in = rng.subtract(self.all_faces, self.all_boundary_faces)
all_ks = self.mb.tag_get_data(self.perm_tag, self.all_volumes)
all_keqs = np.zeros(len(faces_in))
map_volumes = dict(zip(self.all_volumes, range(len(self.all_volumes))))
areas = self.mb.tag_get_data(self.area_tag, faces_in, flat=True)
for i, face in enumerate(faces_in):
elems = self.mb.get_adjacencies(face, 3)
if len(elems) < 2:
continue
k0 = all_ks[map_volumes[elems[0]]].reshape([3, 3])
k1 = all_ks[map_volumes[elems[1]]].reshape([3, 3])
c0 = self.all_centroids[map_volumes[elems[0]]]
c1 = self.all_centroids[map_volumes[elems[1]]]
direction = c1 - c0
h = np.linalg.norm(direction)
uni = np.absolute(direction / h)
k0 = np.dot(np.dot(k0, uni), uni)
k1 = np.dot(np.dot(k1, uni), uni)
area = areas[i]
keq = area * (2 * k1 * k0) / (h * (k1 + k0) * self.mi)
all_keqs[i] = keq
self.mb.tag_set_data(self.keq_tag, self.all_faces,
np.repeat(0.0, len(self.all_faces)))
self.mb.tag_set_data(self.keq_tag, faces_in, all_keqs)
def calc_pcorr_nv(self, vertices_nv, k, tag_primal_classic):
tags_1 = self.tags
mb = self.mb
mtu = self.mtu
boundary_faces = self.all_boundary_faces
bound_faces_nv = self.bound_faces_nv
for vert in vertices_nv:
t00 = time.time()
primal_id = mb.tag_get_data(tag_primal_classic, vert, flat=True)[0]
elems_in_meshset = mb.get_entities_by_type_and_tag(
0, types.MBHEX, np.array([tag_primal_classic]),
np.array([primal_id]))
faces = mtu.get_bridge_adjacencies(elems_in_meshset, 3, 2)
faces = rng.subtract(faces, boundary_faces)
faces_boundary = rng.intersect(faces, bound_faces_nv[k])
if len(faces_boundary) < 1:
import pdb
pdb.set_trace()
t01 = time.time()
t02 = time.time()
self.calculate_pcorr(elems_in_meshset, vert, faces_boundary, faces,
k)
self.set_flux_pms_meshsets(elems_in_meshset, faces, faces_boundary)
def find_coarse_neighbours(self):
self.connectivities = np.zeros(
(self.num_coarse, self.num_coarse + 1, 3)).astype('bool')
self.nodes_neighbors = np.zeros((self.num_coarse, self.num_coarse + 1),
dtype=object)
self.edges_neighbors = np.zeros((self.num_coarse, self.num_coarse + 1),
dtype=object)
self.faces_neighbors = np.zeros((self.num_coarse, self.num_coarse + 1),
dtype=object)
self.nodes_neighbors[:], self.edges_neighbors[:], self.faces_neighbors[:] = None, None, None
self._nodes = list()
self._faces = list()
self._edges = list()
self.all_nodes_neighbors = rng.Range()
self.all_edges_neighbors = rng.Range()
self.all_faces_neighbors = rng.Range()
self.all_volumes_neighbors = rng.Range()
#print(self.all_nodes_neighbors, self.all_edges_neighbors, self.all_faces_neighbors)
# import pdb; pdb.set_trace()
node_count, edge_count, face_count = 0, 0, 0
for x in range(self.num_coarse):
for y in range(x + 1, self.num_coarse):
node_intersect = rng.intersect(
self.elements[x].core.boundary_nodes,
self.elements[y].core.boundary_nodes)
if not node_intersect.empty():
self._nodes.append(node_intersect)
#self._nodes = np.append(self._nodes,node_intersect)
self.nodes_neighbors[x, y], self.nodes_neighbors[
y, x], = node_count, node_count
self.connectivities[x, y,
0], self.connectivities[y, x,
0] = True, True
node_count += 1
[
self.all_nodes_neighbors.insert(e)
for e in node_intersect
]
edges_intersect = rng.intersect(
self.elements[x].core.boundary_edges,
self.elements[y].core.boundary_edges)
if not edges_intersect.empty():
self._edges.append(edges_intersect)
# self._edges = np.append(self._edges,edges_intersect)
self.edges_neighbors[x, y], self.edges_neighbors[
y, x] = edge_count, edge_count
self.connectivities[x, y,
1], self.connectivities[y, x,
1] = True, True
edge_count += 1
[
self.all_edges_neighbors.insert(e)
for e in edges_intersect
]
faces_intersect = rng.intersect(
self.elements[x].core.boundary_faces,
self.elements[y].core.boundary_faces)
if not faces_intersect.empty():
self._faces.append(faces_intersect)
#self._faces = np.append(self._faces,faces_intersect)
self.faces_neighbors[x, y], self.faces_neighbors[
y, x] = face_count, face_count
self.connectivities[x, y,
2], self.connectivities[y, x,
2] = True, True
face_count += 1
[
self.all_faces_neighbors.insert(e)
for e in faces_intersect
]
self.num_internal_nodes = node_count
self.num_internal_edges = edge_count
self.num_internal_faces = face_count
for x in range(self.num_coarse):
# fix the interesection - second variable poorly choosen
node_intersect = rng.subtract(self.elements[x].core.boundary_nodes,
self.all_nodes_neighbors)
if not node_intersect.empty():
self._nodes.append(node_intersect)
self.nodes_neighbors[x, -1] = node_count
self.connectivities[x, -1, 0] = True
node_count += 1
edge_intersect = rng.subtract(self.elements[x].core.boundary_edges,
self.all_edges_neighbors)
if not edge_intersect.empty():
self._edges.append(edge_intersect)
self.edges_neighbors[x, -1] = edge_count
self.connectivities[x, -1, 1] = True
edge_count += 1
face_intersect = rng.subtract(self.elements[x].core.boundary_faces,
self.all_faces_neighbors)
if not face_intersect.empty():
self._faces.append(face_intersect)
self.faces_neighbors[x, -1] = face_count
self.connectivities[x, -1, 2] = True
face_count += 1
def __init__(self):
global input_dir
global flying_dir
global bifasico_sol_direta_dir
global bifasico_sol_multiescala_dir
os.chdir(input_dir)
with open("inputs.yaml", 'r') as stream:
data_loaded = yaml.load(stream)
# data_loaded = yaml.load(stream, Loader=yaml.FullLoader)
# data_loaded = yaml.full_load(stream)
input_file = data_loaded['input_file']
self.input_file = input_file
ext_h5m_adm = input_file + '_malha_adm.h5m'
self.mb = core.Core()
self.mtu = topo_util.MeshTopoUtil(self.mb)
self.data_loaded = data_loaded
converter_unidades = data_loaded['converter_unidades']
ADM = data_loaded['ADM']
ler_anterior = np.load('ler_anterior.npy')[0]
self.ler_anterior = ler_anterior
if ler_anterior == False:
os.chdir(flying_dir)
self.mb.load_file(ext_h5m_adm)
self.ultimo_loop = 0
self.vpi = 0.0
self.t = 0.0
else:
os.chdir(input_dir)
ultimo_loop = np.load('ultimo_loop.npy')[0]
self.ultimo_loop = ultimo_loop
if ADM == False:
ext_h5m = input_file + 'sol_direta_' + str(
ultimo_loop) + '.h5m'
os.chdir(bifasico_sol_direta_dir)
self.mb.load_file(ext_h5m)
else:
ext_h5m = input_file + 'sol_direta_' + str(
ultimo_loop) + '.h5m'
os.chdir(bifasico_sol_direta_dir)
self.mb.load_file(ext_h5m)
hist = np.load('historico_' + str(ultimo_loop) + '.npy')
self.vpi = hist[0]
self.t = hist[1]
self.all_volumes = self.mb.get_entities_by_dimension(0, 3)
self.all_nodes = self.mb.get_entities_by_dimension(0, 0)
self.mtu.construct_aentities(self.all_nodes)
self.all_faces = self.mb.get_entities_by_dimension(0, 2)
self.all_edges = self.mb.get_entities_by_dimension(0, 1)
self.tags = LoadADMMesh.load_tags(self.mb)
self.tags.update(
LoadADMMesh.create_tags_bifasico(self.mb, ADM, self.all_nodes))
self.volumes_d = self.mb.get_entities_by_type_and_tag(
0, types.MBHEX, np.array([self.tags['P']]), np.array([None]))
self.volumes_n = self.mb.get_entities_by_type_and_tag(
0, types.MBHEX, np.array([self.tags['Q']]), np.array([None]))
self.mi_w = float(data_loaded['dados_bifasico']['mi_w'])
self.mi_o = float(data_loaded['dados_bifasico']['mi_o'])
self.gama_w = float(data_loaded['dados_bifasico']['gama_w'])
self.gama_o = float(data_loaded['dados_bifasico']['gama_o'])
self.Sor = float(data_loaded['dados_bifasico']['Sor'])
self.Swc = float(data_loaded['dados_bifasico']['Swc'])
self.nw = float(data_loaded['dados_bifasico']['nwater'])
self.no = float(data_loaded['dados_bifasico']['noil'])
self.loops = int(data_loaded['dados_bifasico']['loops'])
self.total_time = float(data_loaded['dados_bifasico']['total_time'])
self.gravity = data_loaded['gravity']
if not ler_anterior and converter_unidades:
setinfo.convert_to_SI(self.mb, self.tags, self.all_volumes,
self.all_faces, self.all_nodes,
self.volumes_d, self.volumes_n)
if ADM:
self.internos, self.faces, self.arestas, self.vertices, \
self.wirebasket_elems, self.mv, self.bound_faces_nv, \
self.wirebasket_numbers, self.meshsets_levels, self.finos0, self.intermediarios, \
self.L2_meshset, self.faces_adjs_by_dual, self.intern_adjs_by_dual = LoadADMMesh.load_elems_adm(self.mb, self.tags)
self.wirebasket_elems_nv1 = LoadADMMesh.load_wirebasket_elems_nv1(
self.mb, self.tags)
if len(self.volumes_n) == 0:
self.wells_injector, self.wells_producer = setinfo.injector_producer_press(
self.mb, self.gama_w, self.gama_o, self.gravity,
self.all_nodes, self.volumes_d, self.tags)
else:
self.wells_injector, self.wells_producer = setinfo.injector_producer(
self.mb, self.gama_w, self.gama_o, self.gravity,
self.all_nodes, self.volumes_d, self.volumes_n, self.tags)
self.all_boundary_faces = self.mb.get_entities_by_handle(
self.mb.tag_get_data(self.tags['FACES_BOUNDARY'], 0, flat=True)[0])
self.all_faces_in = rng.subtract(self.all_faces,
self.all_boundary_faces)
self.Adjs = np.array([
np.array(self.mb.get_adjacencies(f, 3)) for f in self.all_faces_in
])
self.all_centroids = self.mb.tag_get_data(self.tags['CENT'],
self.all_volumes)
self.all_kharm = self.mb.tag_get_data(self.tags['KHARM'],
self.all_faces_in,
flat=True)
self.ADM = ADM
self.vv = self.mb.create_meshset()
self.mb.add_entities(self.vv, self.all_volumes)
if not ler_anterior:
LoadADMMesh.set_sat_in(self.mb, self.wells_injector,
self.all_volumes, self.tags,
self.all_centroids)
# fazendo os ids comecarem de 0 em todos os niveis
tags = [L1_ID_tag, L2_ID_tag]
for tag in tags:
all_gids = mb.tag_get_data(tag, all_volumes, flat=True)
minim = min(all_gids)
all_gids -= minim
mb.tag_set_data(tag, all_volumes, all_gids)
###preprocessamento1
##########################################################
boundary_faces_tag = mb.tag_get_handle("FACES_BOUNDARY")
faces_boundary = mb.tag_get_data(boundary_faces_tag, 0, flat=True)[0]
faces_boundary = mb.get_entities_by_handle(faces_boundary)
faces_in = rng.subtract(all_faces, faces_boundary)
all_keqs = mb.tag_get_data(k_eq_tag, faces_in, flat=True)
Adjs = np.array([np.array(mb.get_adjacencies(face, 3)) for face in faces_in])
all_ids_reord = mb.tag_get_data(ID_reordenado_tag, all_volumes, flat=True)
map_volumes = dict(zip(all_volumes, range(len(all_volumes))))
tempo0_ADM=time.time()
lines_tf = []
cols_tf = []
data_tf = []
b2 = np.zeros(len(all_volumes))
s_grav_faces = np.zeros(len(faces_in))
# index = list_names_tags.index('S_GRAV')
# s_grav_tag = tags_1[index]
area_tag = get_tag('AREA')
perm_tag = get_tag('PERM')
boundary_faces = mb.get_entities_by_handle(
mb.tag_get_data(get_tag('FACES_BOUNDARY'), 0, flat=True)[0])
gids2 = mb.tag_get_data(ID_reordenado_tag, all_volumes, flat=True)
map_global = dict(zip(all_volumes, gids2))
s = np.zeros(len(all_volumes))
print("def As")
ty = time.time()
for f in rng.subtract(all_faces, boundary_faces):
keq, s_grav, adjs = oth.get_kequiv_by_face_quad(mb, mtu, f, perm_tag,
area_tag)
keq = 1
Gid_1 = map_global[adjs[0]]
Gid_2 = map_global[adjs[1]]
if Gid_1 < ni and Gid_2 < ni:
lii.append(Gid_1)
cii.append(Gid_2)
dii.append(keq)
lii.append(Gid_2)
cii.append(Gid_1)
dii.append(keq)
def get_op_adm_nv2(mb, OP2, wirebasket_ord_1, wirebasket_numbers_1,
map_nc_in_wirebasket_id_1, all_volumes):
nc_primal_tag_1 = mb.tag_get_handle('NC_PRIMAL_1')
nc_primal_tag_2 = mb.tag_get_handle('NC_PRIMAL_2')
d2_tag = mb.tag_get_handle(ProlongationTPFA3D.name_d2_tag)
map_wirebasket_id_in_nc_1 = {}
for i, j in map_nc_in_wirebasket_id_1.items():
map_wirebasket_id_in_nc_1[j] = i
meshsets_nv2 = np.array(
mb.get_entities_by_type_and_tag(mb.get_root_set(),
types.MBENTITYSET,
np.array([nc_primal_tag_2]),
np.array([None])))
lv1_id_tag = mb.tag_get_handle(ProlongationTPFA3D.name_l1_id)
lv2_id_tag = mb.tag_get_handle(ProlongationTPFA3D.name_l2_id)
level_tag = mb.tag_get_handle(ProlongationTPFA3D.name_l3_id)
all_ids_nv1 = np.unique(
mb.tag_get_data(lv1_id_tag, all_volumes, flat=True))
all_ids_nv2 = np.unique(
mb.tag_get_data(lv2_id_tag, all_volumes, flat=True))
OP_adm_nv2 = sp.lil_matrix((len(all_ids_nv1), len(all_ids_nv2)))
meshsets_nv1_que_estao_no_nv2 = []
id_adm_lv2_dos_meshsets_nv1_que_estao_no_nv2 = []
id_adm_lv1_dos_meshsets_nv1_que_estao_no_nv2 = []
todos_meshsets_que_estao_no_nivel_1 = []
ids_adm_nv1_de_todos_meshsets_que_estao_no_nivel_1 = []
for m2 in meshsets_nv2:
childs = mb.get_child_meshsets(m2)
for m in childs:
mb.add_parent_meshset(m, m2)
elems = mb.get_entities_by_handle(m)
id_adm_nv1 = np.unique(
mb.tag_get_data(lv1_id_tag, elems, flat=True))
if len(id_adm_nv1) > 1:
continue
todos_meshsets_que_estao_no_nivel_1.append(m)
ids_adm_nv1_de_todos_meshsets_que_estao_no_nivel_1.append(
id_adm_nv1[0])
elems = mb.get_entities_by_handle(m2)
id_lv2 = np.unique(mb.tag_get_data(lv2_id_tag, elems, flat=True))
if len(id_lv2) > 1:
continue
meshsets_nv1_que_estao_no_nv2.append(childs)
id_adm_lv2_dos_meshsets_nv1_que_estao_no_nv2.append(id_lv2[0])
ids_adm_lv1 = []
for m in childs:
elems_1 = mb.get_entities_by_handle(m)
id_adm_lv1 = np.unique(
mb.tag_get_data(lv1_id_tag, elems_1, flat=True))
ids_adm_lv1.append(id_adm_lv1)
id_adm_lv1_dos_meshsets_nv1_que_estao_no_nv2.append(ids_adm_lv1[:])
ncs_de_todos_meshsets_que_estao_no_nivel_1 = mb.tag_get_data(
nc_primal_tag_1, todos_meshsets_que_estao_no_nivel_1, flat=True)
map_ncs_de_todos_meshsets_que_estao_no_nivel_1_in_id_adm_1 = dict(
zip(ncs_de_todos_meshsets_que_estao_no_nivel_1,
ids_adm_nv1_de_todos_meshsets_que_estao_no_nivel_1))
map_todos_meshsets_que_estao_no_nivel_1_in_id_adm_1 = dict(
zip(todos_meshsets_que_estao_no_nivel_1,
ids_adm_nv1_de_todos_meshsets_que_estao_no_nivel_1))
# import pdb; pdb.set_trace()
# print(meshsets_nv1_que_estao_no_nv2)
# print(id_adm_lv1_dos_meshsets_nv1_que_estao_no_nv2)
# print(id_adm_lv2_dos_meshsets_nv1_que_estao_no_nv2)
# print(todos_meshsets_que_estao_no_nivel_1)
# print(ids_adm_nv1_de_todos_meshsets_que_estao_no_nivel_1)
# import pdb; pdb.set_trace()
nni = wirebasket_numbers_1[0]
nnf = nni + wirebasket_numbers_1[1]
nne = nnf + wirebasket_numbers_1[2]
nnv = nne + wirebasket_numbers_1[3]
nc_vertex_elems = np.array(wirebasket_ord_1[nne:nnv], dtype=np.uint64)
meshsets_vertex_elems_nv1 = [
mb.get_entities_by_type_and_tag(mb.get_root_set(),
types.MBENTITYSET,
np.array([nc_primal_tag_1]),
np.array([i]))[0]
for i in nc_vertex_elems
]
cont = 0
vertices_pi_chapeu = []
ids_lv2_vertices_pi_chapeu = []
for m in meshsets_vertex_elems_nv1:
if m in todos_meshsets_que_estao_no_nivel_1:
vertices_pi_chapeu.append(m)
elems = mb.get_entities_by_handle(m)
id_lv2_adm = np.unique(
mb.tag_get_data(lv2_id_tag, elems, flat=True))
ids_lv2_vertices_pi_chapeu.append(id_lv2_adm)
# meshsets_vertex_elems_nv1 = rng.Range(meshsets_vertex_elems_nv1)
# nc_vertex_elems = mb.tag_get_data(nc_primal_tag_1, meshsets_vertex_elems_nv1, flat=True)
for i, m in enumerate(vertices_pi_chapeu):
id_adm_lv2_vertice = ids_lv2_vertices_pi_chapeu[i]
parent_meshset = mb.get_parent_meshsets(m)
nc2 = mb.tag_get_data(nc_primal_tag_2, parent_meshset,
flat=True)[0]
col_op2 = OP2[:, nc2]
indices = sp.find(col_op2)
lines = []
vals = []
for j, ind in enumerate(indices[0]):
nc_1 = map_wirebasket_id_in_nc_1[ind]
if nc_1 not in ncs_de_todos_meshsets_que_estao_no_nivel_1:
continue
id_adm_nv1 = map_ncs_de_todos_meshsets_que_estao_no_nivel_1_in_id_adm_1[
nc_1]
lines.append(id_adm_nv1)
vals.append(indices[2][j])
col = np.repeat(id_adm_lv2_vertice, len(vals)).astype(np.int32)
lines = np.array(lines).astype(np.int32)
vals = np.array(vals)
OP_adm_nv2[lines, col] = vals
todos = rng.Range(todos_meshsets_que_estao_no_nivel_1)
for meshsets in meshsets_nv1_que_estao_no_nv2:
todos = rng.subtract(todos, meshsets)
for m in todos:
elems = mb.get_entities_by_handle(m)
id_adm_2 = np.unique(mb.tag_get_data(lv2_id_tag, elems,
flat=True))[0]
id_adm_1 = map_todos_meshsets_que_estao_no_nivel_1_in_id_adm_1[m]
OP_adm_nv2[id_adm_1] = np.zeros(len(all_ids_nv2))
OP_adm_nv2[id_adm_1, id_adm_2] = 1.0
elems_nv0 = mb.get_entities_by_type_and_tag(mb.get_root_set(),
types.MBHEX,
np.array([level_tag]),
np.array([1]))
ids_adm_lv2_elems_nv0 = mb.tag_get_data(lv2_id_tag,
elems_nv0,
flat=True)
ids_adm_lv1_elems_nv0 = mb.tag_get_data(lv1_id_tag,
elems_nv0,
flat=True)
OP_adm_nv2[ids_adm_lv1_elems_nv0,
ids_adm_lv2_elems_nv0] = np.ones(len(elems_nv0))
return OP_adm_nv2
else:
raise NameError("type_prescription == 'neumann' or 'dirichlet'")
if bifasico == True and w['type_well'] == 'injector':
M1.mb.add_entities(wells_injector, volumes)
if bifasico == True:
loader = importlib.machinery.SourceFileLoader('bif_utils',
utils_dir + '/bif_utils.py')
bif_utils = loader.load_module('bif_utils').bifasico(
M1.mb, M1.mtu, M1.all_volumes)
bif_utils.set_sat_in(M1.all_volumes)
bif_utils.set_lamb(M1.all_volumes)
bif_utils.set_mobi_faces_ini(
M1.all_volumes, rng.subtract(M1.all_faces, M1.all_boundary_faces))
# mb, all_volumes, all_faces_in, wells_inj, k_eq_tag, mobi_in_faces_tag, mobi_w_in_faces_tag
# Ci = n: Ci -> Razão de engrossamento ni nível i (em relação ao nível i-1),
# n -> número de blocos em cada uma das 3 direções (mesmo número em todas)
l1 = 3
l2 = 9
la = [3, 3, 3]
lb = [9, 9, 9]
# Posição aproximada de cada completação
Cent_weels = all_centroids[inds_wells]
# Distância, em relação ao poço, até onde se usa malha fina
r0 = float(data_loaded['rs']['r0'])
M1.mb.tag_set_data(M1.r0_tag, 0, r0)
# Distância, em relação ao poço, até onde se usa malha intermediária
def run_2(t):
print('entrou run2')
tini = time.time()
elems_nv0 = mb.get_entities_by_type_and_tag(0, types.MBHEX,
np.array([tags_1['l3_ID']]),
np.array([1]))
# vertices_nv1 = rng.subtract(sol_adm.vertices, elems_nv0)
vertices_nv1 = mb.get_entities_by_type_and_tag(meshset_vertices,
types.MBHEX,
np.array([tags_1['l3_ID']]),
np.array([2]))
k = 0
cont = 0
for vert in vertices_nv1:
t00 = time.time()
primal_id = mb.tag_get_data(tags_1['FINE_TO_PRIMAL1_CLASSIC'],
vert,
flat=True)[0]
elems_in_meshset = mb.get_entities_by_type_and_tag(
0, types.MBHEX, np.array([tags_1['FINE_TO_PRIMAL1_CLASSIC']]),
np.array([primal_id]))
faces = mtu.get_bridge_adjacencies(elems_in_meshset, 3, 2)
faces = rng.subtract(faces, boundary_faces)
faces_boundary = rng.intersect(faces, bound_faces_nv[k])
t01 = time.time()
t02 = time.time()
bif_utils.calculate_pcorr(mb, elems_in_meshset, vert, faces_boundary,
faces, tags_1['PCORR2'], tags_1['PMS2'],
sol_adm.volumes_d, sol_adm.volumes_n, tags_1)
# bif_utils.calculate_pcorr_v4(elems_in_meshset, tags_1['PCORR2'], tags_1)
t03 = time.time()
bif_utils.set_flux_pms_meshsets(elems_in_meshset, faces,
faces_boundary, tags_1['PMS2'],
tags_1['PCORR2'])
t04 = time.time()
dt0 = t01 - t00
dt1 = t03 - t02
dt2 = t04 - t03
dtt = t04 - t01
# print(f'tempo total {dtt}')
# print(f'tempo hd {dt0}')
# print(f'tempo pcorr {dt1}')
# print(f'tempo fluxo_ms {dt2} \n')
vertices_nv2 = mb.get_entities_by_type_and_tag(meshset_vertices_nv2,
types.MBHEX,
np.array([tags_1['l3_ID']]),
np.array([3]))
t0 = time.time()
k = 1
for vert in vertices_nv2:
primal_id = mb.tag_get_data(tags_1['FINE_TO_PRIMAL2_CLASSIC'],
vert,
flat=True)[0]
elems_in_meshset = mb.get_entities_by_type_and_tag(
0, types.MBHEX, np.array([tags_1['FINE_TO_PRIMAL2_CLASSIC']]),
np.array([primal_id]))
faces = mtu.get_bridge_adjacencies(elems_in_meshset, 3, 2)
faces = rng.subtract(faces, boundary_faces)
faces_boundary = rng.intersect(faces, bound_faces_nv[k])
bif_utils.calculate_pcorr(mb, elems_in_meshset, vert, faces_boundary,
faces, tags_1['PCORR2'], tags_1['PMS2'],
sol_adm.volumes_d, sol_adm.volumes_n, tags_1)
# bif_utils.calculate_pcorr_v4(elems_in_meshset, tags_1['PCORR2'], tags_1)
bif_utils.set_flux_pms_meshsets(elems_in_meshset, faces,
faces_boundary, tags_1['PMS2'],
tags_1['PCORR2'])
t1 = time.time()
dt = t1 - t0
# print(f'tempo nv2 fluxo {dt}\n')
faces = mtu.get_bridge_adjacencies(elems_nv0, 3, 2)
faces = rng.subtract(faces, boundary_faces)
# bif_utils.set_flux_pms_elems_nv0(elems_nv0, faces, tags_1['PMS1'])
t0 = time.time()
bif_utils.set_flux_pms_elems_nv0(elems_nv0, faces, tags_1['PMS2'])
t1 = time.time()
dt = t1 - t0
tend = time.time()
dtt = tend - tini
# print(f'tempo nv0 fluxo {dt}\n')
bif_utils.calc_cfl(faces_in)
bif_utils.verificar_cfl(all_volumes, loop)
print(f'tempo total: {dtt}')
print('saiu run2')
# tags_1['l3_ID'] = mb.tag_get_handle('NIVEL_ID')
# tags_1['l3_ID'] = mb.tag_get_handle('l3_ID')
vv = mb.create_meshset()
mb.add_entities(vv, all_volumes)
os.chdir(bifasico_sol_multiescala_dir)
# loader = importlib.machinery.SourceFileLoader('bif_utils', utils_dir + '/bif_utils.py')
# bif_utils = loader.load_module('bif_utils').bifasico(mb, mtu, all_volumes)
bif_utils.k_pe_m = k_pe_m
all_ids_reord = mb.tag_get_data(tags_1['ID_reord_tag'], all_volumes, flat=True)
map_global = dict(zip(all_volumes, all_ids_reord))
boundary_faces = mb.tag_get_data(tags_1['FACES_BOUNDARY'], 0, flat=True)[0]
boundary_faces = mb.get_entities_by_handle(boundary_faces)
faces_in = rng.subtract(all_faces, boundary_faces)
bif_utils.all_faces_in = faces_in
bif_utils.Adjs = [mb.get_adjacencies(face, 3) for face in faces_in]
name_tag_faces_boundary_meshsets = 'FACES_BOUNDARY_MESHSETS_LEVEL_'
boundary_faces_nv2 = mb.get_entities_by_handle(
mb.tag_get_data(mb.tag_get_handle(name_tag_faces_boundary_meshsets +
str(2)),
0,
flat=True)[0])
boundary_faces_nv3 = mb.get_entities_by_handle(
mb.tag_get_data(mb.tag_get_handle(name_tag_faces_boundary_meshsets +
str(3)),
0,
flat=True)[0])
bound_faces_nv = [boundary_faces_nv2, boundary_faces_nv3]
wirebasket_numbers = [sol_adm.ni, sol_adm.nf, sol_adm.na, sol_adm.nv]
def set_contraste(mesh):
mesh.perm_tag = mesh.tags['PERM']
meshset_by_L2 = mesh.mb.get_child_meshsets(mesh.L2_meshset)
max1 = 0
for m2 in meshset_by_L2:
meshset_by_L1 = mesh.mb.get_child_meshsets(m2)
for m1 in meshset_by_L1:
ver_1 = mesh.mb.get_entities_by_type_and_tag(
m1, types.MBHEX, np.array([D1_tag]), np.array([3]))
viz_vert = mesh.mtu.get_bridge_adjacencies(ver_1, 1, 3)
k_vert = mesh.mb.tag_get_data(mesh.perm_tag, ver_1)[:, 0]
facs_ver1 = mesh.mtu.get_bridge_adjacencies(ver_1, 2, 2)
max_r = 0
vers = []
# somak=0
for f in facs_ver1:
viz_facs = mesh.mtu.get_bridge_adjacencies(f, 2, 3)
ares_m = mesh.mb.create_meshset()
mesh.mb.add_entities(ares_m, viz_facs)
ares = mesh.mb.get_entities_by_type_and_tag(
ares_m, types.MBHEX, np.array([D1_tag]), np.array([2]))
if len(ares) > 0:
viz_ares = mesh.mtu.get_bridge_adjacencies(ares, 2, 3)
ares_m = mesh.mb.create_meshset()
mesh.mb.add_entities(ares_m, viz_ares)
ares_com_novas = mesh.mb.get_entities_by_type_and_tag(
ares_m, types.MBHEX, np.array([D1_tag]), np.array([2]))
novas_ares = rng.subtract(ares_com_novas, ares)
ares = rng.unite(ares, novas_ares)
for i in range(20):
viz_ares = mesh.mtu.get_bridge_adjacencies(
novas_ares, 2, 3)
ares_m = mesh.mb.create_meshset()
mesh.mb.add_entities(ares_m, viz_ares)
ares_com_novas = mesh.mb.get_entities_by_type_and_tag(
ares_m, types.MBHEX, np.array([D1_tag]),
np.array([2]))
novas_ares = rng.subtract(ares_com_novas, ares)
ares = rng.unite(ares, novas_ares)
if len(novas_ares) == 0:
break
a1 = ares
gids_ares = mesh.mb.tag_get_data(mesh.tags['ID_reord_tag'],
a1,
flat=True)
facs_ares = mesh.mtu.get_bridge_adjacencies(a1, 2, 2)
# somak+= sum(mesh.mb.tag_get_data(mesh.k_eq_tag,facs_ares,flat=True))/k_vert
ares = mesh.mtu.get_bridge_adjacencies(ares, 2, 3)
ares_m = mesh.mb.create_meshset()
mesh.mb.add_entities(ares_m, ares)
verts = mesh.mb.get_entities_by_type_and_tag(
ares_m, types.MBHEX, np.array([D1_tag]), np.array([3]))
ares_ares = verts = mesh.mb.get_entities_by_type_and_tag(
ares_m, types.MBHEX, np.array([D1_tag]), np.array([2]))
v_verts = mesh.mtu.get_bridge_adjacencies(verts, 2, 3)
ares_ares = rng.unite(ares_ares, verts)
ares = rng.unite(ares, v_verts)
k_ares_max = mesh.mb.tag_get_data(mesh.perm_tag,
ares)[:, 0].max()
k_ares_min = mesh.mb.tag_get_data(mesh.perm_tag,
ares)[:, 0].min()
# k_ares_med=sum(mesh.mb.tag_get_data(mesh.perm_tag,a1)[:,0])/len(ares)
ver_2 = np.uint64(rng.subtract(verts, ver_1))
k_ver2 = mesh.mb.tag_get_data(mesh.perm_tag, ver_2)[0][0]
vers.append(ver_2)
perm_ares = mesh.mb.tag_get_data(mesh.perm_tag, ares)[:, 0]
try:
r_ver = mesh.mb.tag_get_data(ares2_tag, ver_1)
r_k_are_ver = float(
max((k_ares_max - k_ares_min) /
min(k_vert, k_ver2), r_ver))
except:
r_k_are_ver = float(
(k_ares_max - k_ares_min) / min(k_vert, k_ver2))
r_k_are_ver = max(r_k_are_ver,
max(k_vert, k_ver2) / perm_ares.min())
r_k_are_ver = max(r_k_are_ver,
perm_ares.max() / min(k_vert, k_ver2))
if r_k_are_ver > max_r:
max_r = r_k_are_ver
#mesh.mb.tag_set_data(ares2_tag, ares, np.repeat(float((k_ares_max-k_ares_min)/k_vert),len(ares)))
mesh.mb.tag_set_data(ares2_tag, ver_1, r_k_are_ver)
perm_viz = mesh.mb.tag_get_data(mesh.tags['PERM'], viz_vert)[:, 0]
# raz=float(k_vert/perm_viz.min())
# mesh.mb.tag_set_data(raz_tag, ver_1,raz)
# mesh.mb.tag_set_data(var_tag, ver_1,var)
# mesh.mb.tag_set_data(var2_tag, ver_1,somak)
if max_r > 200:
for v in vers:
try:
r_ver = mesh.mb.tag_get_data(ares2_tag, v)
except:
r_ver = 0
#mesh.mb.tag_set_data(ares2_tag, v,float(max(max_r/4,r_ver)))
#k_ver2=mesh.mb.tag_get_data(mesh.perm_tag,ver_2)[:,0]
#try:
# r_ver=mesh.mb.tag_get_data(ares2_tag,ver_2)
# r_k_are_ver=float(max((k_ares_max-k_ares_min)/k_ver2,r_ver))
#except:
# r_k_are_ver=float((k_ares_max-k_ares_min)/k_ver2)
#mesh.mb.tag_set_data(ares2_tag, ver_2,r_k_are_ver)
del mesh.perm_tag
