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56ae73279c41f3a23156305ad0a4fca0fdfcc85e
gprMax/gprMax/yee_cell_build.pyx

333 行
18 KiB
Cython
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# Copyright (C) 2015: The University of Edinburgh
# Authors: Craig Warren and Antonis Giannopoulos
#
# This file is part of gprMax.
#
# gprMax is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# gprMax is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
import numpy as np
cimport numpy as np
from gprMax.materials import Material
from gprMax.yee_cell_setget_rigid cimport get_rigid_Ex, get_rigid_Ey, get_rigid_Ez, get_rigid_Hx, get_rigid_Hy, get_rigid_Hz
cpdef build_ex_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Ex components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2, numID3, numID4
for i in range(0, G.nx):
for j in range(1, G.ny):
for k in range(1, G.nz):
# If rigid is True do not average
if get_rigid_Ex(i, j, k, rigidE):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i, j - 1, k]
numID3 = solid[i, j - 1, k - 1]
numID4 = solid[i, j, k - 1]
# If all values are the same no need to average
if numID1 == numID2 and numID1 == numID3 and numID1 == numID4:
ID[0, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID + '|' + G.materials[numID3].ID + '|' + G.materials[numID4].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1]) and
x.ID.count(tmp[2]) == requiredID.count(tmp[2]) and
x.ID.count(tmp[3]) == requiredID.count(tmp[3])]
if material:
ID[0, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er, G.materials[numID3].er, G.materials[numID4].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se, G.materials[numID3].se, G.materials[numID4].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr, G.materials[numID3].mr, G.materials[numID4].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm, G.materials[numID3].sm, G.materials[numID4].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[0, i, j, k] = newNumID
cpdef build_ey_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Ey components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2, numID3, numID4
for i in range(1, G.nx):
for j in range(0, G.ny):
for k in range(1, G.nz):
# If rigid is True do not average
if get_rigid_Ey(i, j, k, rigidE):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i - 1, j, k]
numID3 = solid[i - 1, j, k - 1]
numID4 = solid[i, j, k - 1]
# If all values are the same no need to average
if numID1 == numID2 and numID1 == numID3 and numID1 == numID4:
ID[1, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID + '|' + G.materials[numID3].ID + '|' + G.materials[numID4].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1]) and
x.ID.count(tmp[2]) == requiredID.count(tmp[2]) and
x.ID.count(tmp[3]) == requiredID.count(tmp[3])]
if material:
ID[1, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er, G.materials[numID3].er, G.materials[numID4].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se, G.materials[numID3].se, G.materials[numID4].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr, G.materials[numID3].mr, G.materials[numID4].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm, G.materials[numID3].sm, G.materials[numID4].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[1, i, j, k] = newNumID
cpdef build_ez_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidE, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Ez components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2, numID3, numID4
for i in range(1, G.nx):
for j in range(1, G.ny):
for k in range(0, G.nz):
# If rigid is True do not average
if get_rigid_Ez(i, j, k, rigidE):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i - 1, j, k]
numID3 = solid[i - 1, j - 1, k]
numID4 = solid[i, j - 1, k]
# If all values are the same no need to average
if numID1 == numID2 and numID1 == numID3 and numID1 == numID4:
ID[2, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID + '|' + G.materials[numID3].ID + '|' + G.materials[numID4].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1]) and
x.ID.count(tmp[2]) == requiredID.count(tmp[2]) and
x.ID.count(tmp[3]) == requiredID.count(tmp[3])]
if material:
ID[2, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er, G.materials[numID3].er, G.materials[numID4].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se, G.materials[numID3].se, G.materials[numID4].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr, G.materials[numID3].mr, G.materials[numID4].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm, G.materials[numID3].sm, G.materials[numID4].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[2, i, j, k] = newNumID
cpdef build_hx_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Hx components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2
for i in range(1, G.nx):
for j in range(0, G.ny):
for k in range(0, G.nz):
# If rigid is True do not average
if get_rigid_Hx(i, j, k, rigidH):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i - 1, j, k]
# If all values are the same no need to average
if numID1 == numID2:
ID[3, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
(x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1])) or
(x.ID.count(tmp[0]) % 2 == 0 and x.ID.count(tmp[1]) % 2 == 0)]
if material:
ID[3, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[3, i, j, k] = newNumID
cpdef build_hy_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Hy components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2
for i in range(0, G.nx):
for j in range(1, G.ny):
for k in range(0, G.nz):
# If rigid is True do not average
if get_rigid_Hy(i, j, k, rigidH):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i, j - 1, k]
# If all values are the same no need to average
if numID1 == numID2:
ID[4, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
(x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1])) or
(x.ID.count(tmp[0]) % 2 == 0 and x.ID.count(tmp[1]) % 2 == 0)]
if material:
ID[4, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[4, i, j, k] = newNumID
cpdef build_hz_component(np.uint32_t[:, :, :] solid, np.int8_t[:, :, :, :] rigidH, np.uint32_t[:, :, :, :] ID, G):
"""This function builds the Hz components in the ID array.
Args:
solid, rigid, ID (memoryviews): Access to solid, rigid and ID arrays
"""
cdef int i, j, k, numID1, numID2
for i in range(0, G.nx):
for j in range(0, G.ny):
for k in range(1, G.nz):
# If rigid is True do not average
if get_rigid_Hz(i, j, k, rigidH):
pass
else:
numID1 = solid[i, j, k]
numID2 = solid[i, j, k - 1]
# If all values are the same no need to average
if numID1 == numID2:
ID[5, i, j, k] = numID1
else:
# Averaging is required
# Make an ID composed of the names of the four materials that will be averaged
requiredID = G.materials[numID1].ID + '|' + G.materials[numID2].ID
# Check if this material already exists
tmp = requiredID.split('|')
material = [x for x in G.materials if
(x.ID.count(tmp[0]) == requiredID.count(tmp[0]) and
x.ID.count(tmp[1]) == requiredID.count(tmp[1])) or
(x.ID.count(tmp[0]) % 2 == 0 and x.ID.count(tmp[1]) % 2 == 0)]
if material:
ID[5, i, j, k] = material[0].numID
else:
# Create new material
newNumID = len(G.materials)
m = Material(newNumID, requiredID, G)
# Create averaged constituents for material
m.er = np.mean((G.materials[numID1].er, G.materials[numID2].er), axis=0)
m.se = np.mean((G.materials[numID1].se, G.materials[numID2].se), axis=0)
m.mr = np.mean((G.materials[numID1].mr, G.materials[numID2].mr), axis=0)
m.sm = np.mean((G.materials[numID1].sm, G.materials[numID2].sm), axis=0)
# Append the new material object to the materials list
G.materials.append(m)
ID[5, i, j, k] = newNumID
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