def verify(s, pt0, pt1):
print('pt0 = %s, pt1 = %s' % (pt0, pt1))
slidx = common.get_slice_index(pt0, pt1)
shape = common.get_shape(pt0, pt1)
for strf in s.strf_list:
# non-spatial
fset = SetFields(s.fdtd, strf, pt0, pt1)
values = np.random.rand(*shape).astype(s.fdtd.dtype)
fset.set_fields(values)
fget = GetFields(s.fdtd, strf, pt0, pt1)
fget.get_event().wait()
copy = fget.get_fields(strf)
assert np.linalg.norm(values - copy) == 0
if pt0 != pt1:
for strf in s.strf_list:
# spatial
fset = SetFields(s.fdtd, strf, pt0, pt1, np.ndarray)
values = np.random.rand(*shape).astype(s.fdtd.dtype)
fset.set_fields(values)
fget = GetFields(s.fdtd, strf, pt0, pt1)
fget.get_event().wait()
copy = fget.get_fields(strf)
assert np.linalg.norm(values - copy) == 0
def verify(s, pt0, pt1):
print('pt0 = %s, pt1 = %s' % (pt0, pt1))
slidx = common.get_slice_index(pt0, pt1)
shape = common.get_shape(pt0, pt1)
for strf in s.strf_list:
# non-spatial
fset = SetFields(s.fdtd, strf, pt0, pt1)
values = np.random.rand(*shape).astype(s.fdtd.dtype)
fset.set_fields(values)
fget = GetFields(s.fdtd, strf, pt0, pt1)
fget.get_event().wait()
copy = fget.get_fields(strf)
assert np.linalg.norm(values - copy) == 0
if pt0 != pt1:
for strf in s.strf_list:
# spatial
fset = SetFields(s.fdtd, strf, pt0, pt1, np.ndarray)
values = np.random.rand(*shape).astype(s.fdtd.dtype)
fset.set_fields(values)
fget = GetFields(s.fdtd, strf, pt0, pt1)
fget.get_event().wait()
copy = fget.get_fields(strf)
assert np.linalg.norm(values - copy) == 0
def test_boundary(s):
print('\n-- test boundary (two fields) --')
shape_dict = {
'x': (s.ny * 2, s.nz),
'y': (s.nx * 2, s.nz),
'z': (s.nx * 2, s.ny)
}
print('E fields')
str_fs_dict = {'x': ['ey', 'ez'], 'y': ['ex', 'ez'], 'z': ['ex', 'ey']}
pt0_dict = {
'x': (s.nx - 1, 0, 0),
'y': (0, s.ny - 1, 0),
'z': (0, 0, s.nz - 1)
}
pt1 = (s.nx - 1, s.ny - 1, s.nz - 1)
for axis in str_fs_dict.keys():
print('direction : %s' % axis)
str_fs = str_fs_dict[axis]
pt0 = pt0_dict[axis]
slidx = common.get_slice_index(pt0, pt1)
fset = SetFields(s.fdtd, str_fs, pt0, pt1, np.ndarray)
values = np.random.rand(*shape_dict[axis]).astype(s.fdtd.dtype)
fset.set_fields(values)
fget = GetFields(s.fdtd, str_fs, pt0, pt1)
fget.get_event().wait()
copy = fget.get_fields()
assert np.linalg.norm(values - copy) == 0
print('H fields')
str_fs_dict = {'x': ['hy', 'hz'], 'y': ['hx', 'hz'], 'z': ['hx', 'hy']}
pt0 = (0, 0, 0)
pt1_dict = {
'x': (0, s.ny - 1, s.nz - 1),
'y': (s.nx - 1, 0, s.nz - 1),
'z': (s.nx - 1, s.ny - 1, 0)
}
for axis in str_fs_dict.keys():
print('direction : %s' % axis)
str_fs = str_fs_dict[axis]
pt1 = pt1_dict[axis]
slidx = common.get_slice_index(pt0, pt1)
fset = SetFields(s.fdtd, str_fs, pt0, pt1, np.ndarray)
values = np.random.rand(*shape_dict[axis]).astype(s.fdtd.dtype)
fset.set_fields(values)
fget = GetFields(s.fdtd, str_fs, pt0, pt1)
fget.get_event().wait()
copy = fget.get_fields()
assert np.linalg.norm(values - copy) == 0
def test_boundary(s):
print('\n-- test boundary (two fields) --')
shape_dict = {'x':(s.ny*2, s.nz), 'y':(s.nx*2, s.nz), 'z':(s.nx*2, s.ny)}
print('E fields')
str_fs_dict = {'x':['ey','ez'], 'y':['ex','ez'], 'z':['ex','ey']}
pt0_dict = {'x':(s.nx-1, 0, 0), 'y':(0, s.ny-1, 0), 'z':(0, 0, s.nz-1)}
pt1 = (s.nx-1, s.ny-1, s.nz-1)
for axis in str_fs_dict.keys():
print('direction : %s' % axis)
str_fs = str_fs_dict[axis]
pt0 = pt0_dict[axis]
slidx = common.get_slice_index(pt0, pt1)
fset = SetFields(s.fdtd, str_fs, pt0, pt1, np.ndarray)
values = np.random.rand(*shape_dict[axis]).astype(s.fdtd.dtype)
fset.set_fields(values)
fget = GetFields(s.fdtd, str_fs, pt0, pt1)
fget.get_event().wait()
copy = fget.get_fields()
assert np.linalg.norm(values - copy) == 0
print('H fields')
str_fs_dict = {'x':['hy','hz'], 'y':['hx','hz'], 'z':['hx','hy']}
pt0 = (0, 0, 0)
pt1_dict = {'x':(0, s.ny-1, s.nz-1), 'y':(s.nx-1, 0, s.nz-1), 'z':(s.nx-1, s.ny-1, 0)}
for axis in str_fs_dict.keys():
print('direction : %s' % axis)
str_fs = str_fs_dict[axis]
pt1 = pt1_dict[axis]
slidx = common.get_slice_index(pt0, pt1)
fset = SetFields(s.fdtd, str_fs, pt0, pt1, np.ndarray)
values = np.random.rand(*shape_dict[axis]).astype(s.fdtd.dtype)
fset.set_fields(values)
fget = GetFields(s.fdtd, str_fs, pt0, pt1)
fget.get_event().wait()
copy = fget.get_fields()
assert np.linalg.norm(values - copy) == 0
def runTest(self):
nx, ny, nz, str_f, pt0, pt1, is_array = self.args
slice_xyz = common.slice_index_two_points(pt0, pt1)
str_fs = common.convert_to_tuple(str_f)
# instance
fields = Fields(nx, ny, nz, '', 'single')
setf = SetFields(fields, str_f, pt0, pt1, is_array)
# generate random source
if is_array:
shape = common.shape_two_points(pt0, pt1, len(str_fs))
value = np.random.rand(*shape).astype(fields.dtype)
split_value = np.split(value, len(str_fs))
split_value_dict = dict( zip(str_fs, split_value) )
else:
value = np.random.ranf()
# host allocations
ehs = [np.zeros(fields.ns, dtype=fields.dtype) for i in range(6)]
eh_dict = dict( zip(['ex', 'ey', 'ez', 'hx', 'hy', 'hz'], ehs) )
# verify
for str_f in str_fs:
if is_array:
eh_dict[str_f][slice_xyz] = split_value_dict[str_f]
else:
eh_dict[str_f][slice_xyz] = value
setf.set_fields(value)
fields.enqueue_barrier()
for str_f in str_fs:
original = eh_dict[str_f]
copy = fields.get(str_f)[:,:,fields.slice_z]
norm = np.linalg.norm(original - copy)
self.assertEqual(norm, 0, '%s, %g' % (self.args, norm))
def runTest(self):
nx, ny, nz, str_f, pt0, pt1, is_array = self.args
slice_xyz = common.slice_index_two_points(pt0, pt1)
str_fs = common.convert_to_tuple(str_f)
# instance
fields = Fields(nx, ny, nz, '', 'single')
setf = SetFields(fields, str_f, pt0, pt1, is_array)
# generate random source
if is_array:
shape = common.shape_two_points(pt0, pt1, len(str_fs))
value = np.random.rand(*shape).astype(fields.dtype)
split_value = np.split(value, len(str_fs))
split_value_dict = dict(zip(str_fs, split_value))
else:
value = np.random.ranf()
# host allocations
ehs = [np.zeros(fields.ns, dtype=fields.dtype) for i in range(6)]
eh_dict = dict(zip(['ex', 'ey', 'ez', 'hx', 'hy', 'hz'], ehs))
# verify
for str_f in str_fs:
if is_array:
eh_dict[str_f][slice_xyz] = split_value_dict[str_f]
else:
eh_dict[str_f][slice_xyz] = value
setf.set_fields(value)
fields.enqueue_barrier()
for str_f in str_fs:
original = eh_dict[str_f]
copy = fields.get(str_f)[:, :, fields.slice_z]
norm = np.linalg.norm(original - copy)
self.assertEqual(norm, 0, '%s, %g' % (self.args, norm))
