def test_layout_vertex():
shape = (4, 4)
vertex = create_grid_squares(shape, 0.1, filling_factor=0.8)
center = np.mean(vertex, axis=-2)
get_vertex = lambda: vertex.reshape(-1, 4, 2)
class Vertex1(Layout):
@property
def vertex(self):
return get_vertex()
class Vertex2(Layout):
def vertex(self):
return get_vertex()
layouts = (Layout(shape, vertex=vertex), Layout(shape, vertex=get_vertex),
Vertex1(shape), Vertex2(shape))
def func(layout):
assert_equal(layout.nvertices, 4)
assert_same(layout.center, center.reshape((-1, 2)))
assert_same(layout.all.center, center)
assert_same(layout.vertex, vertex.reshape((-1, 4, 2)))
assert_same(layout.all.vertex, vertex)
for layout in layouts:
yield func, layout
def test_layout_vertex():
shape = (4, 4)
vertex = create_grid_squares(shape, 0.1, filling_factor=0.8)
center = np.mean(vertex, axis=-2)
get_vertex = lambda: vertex.reshape(-1, 4, 2)
class Vertex1(Layout):
@property
def vertex(self):
return get_vertex()
class Vertex2(Layout):
def vertex(self):
return get_vertex()
layouts = (Layout(shape, vertex=vertex),
Layout(shape, vertex=get_vertex),
Vertex1(shape), Vertex2(shape))
def func(layout):
assert_equal(layout.nvertices, 4)
assert_same(layout.center, center.reshape((-1, 2)))
assert_same(layout.all.center, center)
assert_same(layout.vertex, vertex.reshape((-1, 4, 2)))
assert_same(layout.all.vertex, vertex)
for layout in layouts:
yield func, layout
def test_layout_grid_squares():
shape = (3, 2)
spacing = 0.1
filling_factor = 0.9
xreflection = True
yreflection = True
origin = (1, 1)
angle = 10
vertex = create_grid_squares(shape,
spacing,
filling_factor=filling_factor,
center=origin,
xreflection=xreflection,
yreflection=yreflection,
angle=angle)
layout = LayoutGridSquares(shape,
spacing,
filling_factor=filling_factor,
origin=origin,
xreflection=xreflection,
yreflection=yreflection,
angle=angle)
assert layout.nvertices == 4
assert_same(layout.all.center, np.mean(vertex, axis=-2))
assert_same(layout.all.vertex, vertex)
assert_same(layout.all.removed, np.zeros(shape, bool))
def func(shape, xreflection, yreflection):
actual = create_grid_squares(
shape, spacing, filling_factor=filling_factor,
xreflection=xreflection, yreflection=yreflection, center=origin)
expected = create_grid_squares_slow(
shape, spacing, filling_factor=filling_factor,
xreflection=xreflection, yreflection=yreflection, center=origin)
assert_same(actual, expected)
def func(shape, xreflection, yreflection):
actual = create_grid_squares(shape,
spacing,
filling_factor=filling_factor,
xreflection=xreflection,
yreflection=yreflection,
center=origin)
expected = create_grid_squares_slow(shape,
spacing,
filling_factor=filling_factor,
xreflection=xreflection,
yreflection=yreflection,
center=origin)
assert_same(actual, expected)
def func(center, ncolmax, itype, ftype, expected):
detectors = create_grid_squares((2, 2), Quantity(pixsize, "um"), center=center)
proj = plane.get_integration_operator(plane.topixel(detectors), ncolmax=ncolmax, dtype=ftype, dtype_index=itype)
x = np.arange(len(plane)).reshape(plane_shape)
y = proj(x)
assert_equal(proj.matrix.dtype, ftype)
assert_equal(proj.matrix.data.index.dtype, itype)
assert_equal(proj.shapein, plane.shape)
assert_equal(proj.shapeout, detectors.shape[:-2])
assert_equal(proj.matrix.shape, (4, len(plane)))
expected_min_ncolmax = 1 if center == (0, 0) else 4
assert_equal(proj.matrix.data.shape, (4, max(expected_min_ncolmax, ncolmax)))
assert_equal(proj.min_ncolmax, expected_min_ncolmax)
assert_same(y, expected)
def test_layout_grid_squares():
shape = (3, 2)
spacing = 0.1
filling_factor = 0.9
xreflection = True
yreflection = True
origin = (1, 1)
angle = 10
vertex = create_grid_squares(
shape, spacing, filling_factor=filling_factor, center=origin,
xreflection=xreflection, yreflection=yreflection, angle=angle)
layout = LayoutGridSquares(
shape, spacing, filling_factor=filling_factor,
origin=origin, xreflection=xreflection,
yreflection=yreflection, angle=angle)
assert layout.nvertices == 4
assert_same(layout.all.center, np.mean(vertex, axis=-2))
assert_same(layout.all.vertex, vertex)
assert_same(layout.all.removed, np.zeros(shape, bool))
def func(center, ncolmax, itype, ftype, expected):
detectors = create_grid_squares((2, 2),
Quantity(pixsize, 'um'),
center=center)
proj = plane.get_integration_operator(plane.topixel(detectors),
ncolmax=ncolmax,
dtype=ftype,
dtype_index=itype)
x = np.arange(len(plane)).reshape(plane_shape)
y = proj(x)
assert_equal(proj.matrix.dtype, ftype)
assert_equal(proj.matrix.data.index.dtype, itype)
assert_equal(proj.shapein, plane.shape)
assert_equal(proj.shapeout, detectors.shape[:-2])
assert_equal(proj.matrix.shape, (4, len(plane)))
expected_min_ncolmax = 1 if center == (0, 0) else 4
assert_equal(proj.matrix.data.shape,
(4, max(expected_min_ncolmax, ncolmax)))
assert_equal(proj.min_ncolmax, expected_min_ncolmax)
assert_same(y, expected)
def test_packunpack():
shape = (3, 3)
size = 9
ordering1 = np.arange(size)[::-1].reshape(shape)
ordering2 = ordering1.copy()
ordering2[0, 2] = -1
selection = [[False, True, True],
[True, True, True],
[False, True, False]]
vertex = create_grid_squares(shape, 0.1)
center = np.mean(vertex, axis=-2)
reccenter = np.recarray(center.shape[:-1], [('x', float), ('y', float)])
reccenter.x, reccenter.y = center[..., 0], center[..., 1]
recvertex = np.recarray(vertex.shape[:-1], [('x', float), ('y', float)])
recvertex.x, recvertex.y = vertex[..., 0], vertex[..., 1]
valb = (np.arange(size, dtype=int) % 2).astype(bool).reshape(shape)
vali = np.arange(size, dtype=int).reshape(shape)
valu = np.arange(size, dtype=np.uint64).reshape(shape)
valf = np.arange(size, dtype=float).reshape(shape)
valb2 = (np.arange(size * 2, dtype=int) % 2).astype(bool).reshape(
shape + (2,))
vali2 = np.arange(size * 2, dtype=int).reshape(shape + (2,))
valu2 = np.arange(size * 2, dtype=np.uint64).reshape(shape + (2,))
valf2 = np.arange(size * 2, dtype=float).reshape(shape + (2,))
valb3 = (np.arange(size * 2 * 3, dtype=int) % 2).astype(bool).reshape(
shape + (2, 3))
vali3 = np.arange(size * 2 * 3, dtype=int).reshape(shape + (2, 3))
valu3 = np.arange(size * 2 * 3, dtype=np.uint64).reshape(shape + (2, 3))
valf3 = np.arange(size * 2 * 3, dtype=float).reshape(shape + (2, 3))
data = (valb, vali, valu, valf, valb2, vali2, valu2, valf2, valb3, vali3,
valu3, valf3, center, reccenter, vertex, recvertex)
def missing(x):
kind = x.dtype.kind
if kind == 'b':
return ~x
if kind == 'i':
return x == -1
if kind == 'u':
return x == 0
if kind == 'f':
return ~np.isfinite(x)
if kind == 'V':
if x.dtype.names == ('x', 'y'):
return ~np.isfinite(x.x) & ~np.isfinite(x.y)
assert False
def func(s, i, d):
layout = PackedTable(shape, vertex=vertex, center=center,
selection=s, ordering=i)
packed = layout.pack(d)
assert_equal(packed.shape, (len(layout),) + d.shape[2:])
d_ = layout.unpack(packed)
assert_equal(d_.shape, d.shape)
assert np.all((d == d_) | missing(d_))
out_packed = np.empty((len(layout),) + d.shape[2:],
d.dtype).view(type(d))
out_unpacked = np.empty(d.shape, d.dtype).view(type(d))
layout.pack(d, out=out_packed)
layout.unpack(out_packed, out=out_unpacked)
assert np.all((d == out_unpacked) | missing(out_unpacked))
out_unpacked = np.empty((6,)+d.shape[1:], d.dtype)[::2].view(type(d))
out_packed = np.empty((out_packed.shape[0]*2,)+out_packed.shape[1:],
d.dtype)[::2].view(type(d))
layout.pack(d, out=out_packed)
layout.unpack(out_packed, out=out_unpacked)
assert np.all((d == out_unpacked) | missing(out_unpacked))
for s, i in ((None, None), (None, ordering1), (None, ordering2),
(selection, None), (selection, ordering1),
(selection, ordering2)):
for d in data:
yield func, s, i, d
