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def test_314(ceed_resource):
ceed = libceed.Ceed(ceed_resource)
for dim in range (1, 4):
P, Q = 8, 10
Pdim = P**dim
Qdim = Q**dim
Xdim = 2**dim
sum1 = sum2 = 0
x = np.empty(Xdim*dim, dtype="float64")
u = np.empty(Pdim, dtype="float64")
for d in range(dim):
for i in range(Xdim):
x[d*Xdim + i] = 1 if (i % (2**(dim-d))) // (2**(dim-d-1)) else -1
X = ceed.Vector(Xdim*dim)
X.set_array(x, cmode=libceed.USE_POINTER)
import sys
from libceed import CEED_MEM_HOST, CEED_USE_POINTER
import libceed
import numpy as np
def check_values(ceed, x, value):
b = x.get_array_read(CEED_MEM_HOST)
for i in range(len(b)):
if b[i] != value:
# LCOV_EXCL_START
print("Error reading array b[%d] = %f"%(i,b[i]))
# LCOV_EXCL_STOP
x.restore_array_read()
if __name__ == "__main__":
ceed = libceed.Ceed(sys.argv[1])
n = 10
x = ceed.Vector(n)
value = 1
a = np.arange(10, 10 + n, dtype="float64")
x.set_array(CEED_MEM_HOST, CEED_USE_POINTER, a)
b = x.get_array_read(CEED_MEM_HOST)
for i in range(len(b)):
if b[i] != 10+i:
# LCOV_EXCL_START
print("Error reading array b[%d] = %f"%(i,b[i]))
# LCOV_EXCL_STOP
x.restore_array_read()
x.set_value(3.0)
def test_505(ceed_resource):
ceed = libceed.Ceed(ceed_resource)
nelem = 15
p = 5
q = 8
nx = nelem + 1
nu = nelem*(p-1) + 1
# Vectors
x = ceed.Vector(nx)
x_array = np.zeros(nx)
for i in range(nx):
x_array[i] = i / (nx - 1.0)
x.set_array(x_array, cmode=libceed.USE_POINTER)
qdata = ceed.Vector(nelem*q)
u = ceed.Vector(nu)
# @file
# Test setting one vector from array of another vector
import sys
from libceed import CEED_MEM_HOST, CEED_USE_POINTER
import libceed
import numpy as np
if __name__ == "__main__":
ceed = libceed.Ceed(sys.argv[1])
n = 10
x = ceed.Vector(n)
y = ceed.Vector(n)
a = np.arange(10, 10 + n, dtype="float64")
x.set_array(MEM_HOST, CEED_USE_POINTER, a)
x_array = x.GetArray(CEED_MEM_HOST)
y.set_array(CEED_MEM_HOST, CEED_USE_POINTER, x_array)
x.restore_array()
y_array = y.get_array_read(CEED_MEM_HOST)
for i in range(n):
if y_array[i] != 10+i:
def test_304(ceed_resource, capsys):
ceed = libceed.Ceed(ceed_resource)
A = np.array([0.19996678, 0.0745459, -0.07448852, 0.0332866,
0.0745459, 1., 0.16666509, -0.07448852,
-0.07448852, 0.16666509, 1., 0.0745459,
0.0332866, -0.07448852, 0.0745459, 0.19996678], dtype="float64")
lam = libceed.Basis.symmetric_schur_decomposition(ceed, A, 4)
print("Q: ")
for i in range(4):
for j in range(4):
if A[j+4*i] <= 1E-14 and A[j+4*i] >= -1E-14:
A[j+4*i] = 0
print("%12.8f"%A[j+4*i])
print("lambda: ")
def test_511(ceed_resource):
ceed = libceed.Ceed(ceed_resource)
nelem = 12
dim = 2
p = 6
q = 4
nx, ny = 3, 2
ndofs = (nx*2+1)*(ny*2+1)
nqpts = nelem*q
# Vectors
x = ceed.Vector(dim*ndofs)
x_array = np.zeros(dim*ndofs)
for i in range(ndofs):
x_array[i] = (1. / (nx*2)) * (i % (nx*2+1))
x_array[i+ndofs] = (1. / (ny*2)) * (i / (nx*2+1))
x.set_array(x_array, cmode=libceed.USE_POINTER)
def test_500(ceed_resource):
ceed = libceed.Ceed(ceed_resource)
nelem = 15
p = 5
q = 8
nx = nelem + 1
nu = nelem*(p-1) + 1
# Vectors
x = ceed.Vector(nx)
x_array = np.zeros(nx)
for i in range(nx):
x_array[i] = i / (nx - 1.0)
x.set_array(x_array, cmode=libceed.USE_POINTER)
qdata = ceed.Vector(nelem*q)
u = ceed.Vector(nu)
def test_523(ceed_resource, capsys):
ceed = libceed.Ceed(ceed_resource)
nelem_tet, p_tet, q_tet = 6, 6, 4
nelem_hex, p_hex, q_hex = 6, 3, 4
nx, ny = 3, 3
dim = 2
nx_tet, ny_tet, nx_hex = 3, 1, 3
ndofs = (nx*2+1)*(ny*2+1)
nqpts_tet, nqpts_hex = nelem_tet*q_tet, nelem_hex*q_hex*q_hex
# Vectors
qdata_hex = ceed.Vector(nqpts_hex)
qdata_tet = ceed.Vector(nqpts_tet)
## ------------------------- Tet Elements -------------------------
# Restrictions
# @file
# Test view
import sys
from libceed import CEED_MEM_HOST, CEED_USE_POINTER
import libceed
import numpy as np
if __name__ == "__main__":
ceed = libceed.Ceed(sys.argv[1])
n = 10
x = ceed.Vector(n)
a = np.arange(10, 10 + n, dtype="float64")
x.set_array(CEED_MEM_HOST, CEED_USE_POINTER, a)
print(x)
def test_322(ceed_resource):
ceed = libceed.Ceed(ceed_resource)
P, Q, dim = 6, 4, 2
xr = np.array([0., 0.5, 1., 0., 0.5, 0., 0., 0., 0., 0.5, 0.5, 1.], dtype="float64")
in_array = np.empty(P, dtype="float64")
qref = np.empty(dim*Q, dtype="float64")
qweight = np.empty(Q, dtype="float64")
interp, grad = bm.buildmats(qref, qweight)
b = ceed.BasisH1(libceed.TRIANGLE, 1, P, Q, interp, grad, qref, qweight)
# Interpolate function to quadrature points
for i in range(P):
in_array[i] = feval(xr[0*P+i], xr[1*P+i])