def test_pre_and_postprocess_hooks(self):
pre_backup = operation._preprocess_hooks
post_backup = operation._postprocess_hooks
operation._preprocess_hooks = [lambda op, x: {'label': str(x.id)}]
operation._postprocess_hooks = [lambda op, x, **kwargs: x.clone(**kwargs)]
curve = Curve([1, 2, 3])
self.assertEqual(operation(curve).label, str(curve.id))
operation._preprocess_hooks = pre_backup
operation._postprocess_hooks = post_backup
def test_pre_and_postprocess_hooks(self):
pre_backup = operation._preprocess_hooks
post_backup = operation._postprocess_hooks
operation._preprocess_hooks = [lambda op, x: {'label': str(x.id)}]
operation._postprocess_hooks = [lambda op, x, **kwargs: x.clone(**kwargs)]
curve = Curve([1, 2, 3])
self.assertEqual(operation(curve).label, str(curve.id))
operation._preprocess_hooks = pre_backup
operation._postprocess_hooks = post_backup
def test_operation_grid(self):
grid = GridSpace({i: Image(np.random.rand(10, 10))
for i in range(10)},
kdims=['X'])
op_grid = operation(grid, op=lambda x, k: x.clone(x.data * 2))
doubled = grid.clone({
k: v.clone(v.data * 2, group='Operation')
for k, v in grid.items()
})
self.assertEqual(op_grid, doubled)
def test_operation_ndlayout(self):
ndlayout = NdLayout(
{i: Image(np.random.rand(10, 10))
for i in range(10)})
op_ndlayout = operation(ndlayout, op=lambda x, k: x.clone(x.data * 2))
doubled = ndlayout.clone({
k: v.clone(v.data * 2, group='Operation')
for k, v in ndlayout.items()
})
self.assertEqual(op_ndlayout, doubled)
def test_operation_holomap(self):
hmap = HoloMap({1: Image(np.random.rand(10, 10))})
op_hmap = operation(hmap, op=lambda x, k: x.clone(x.data * 2))
self.assertEqual(
op_hmap.last, hmap.last.clone(hmap.last.data * 2,
group='Operation'))
def test_operation_element(self):
img = Image(np.random.rand(10, 10))
op_img = operation(img, op=lambda x, k: x.clone(x.data * 2))
self.assertEqual(op_img, img.clone(img.data * 2, group='Operation'))
def test_operation_holomap(self):
hmap = HoloMap({1: Image(np.random.rand(10, 10))})
op_hmap = operation(hmap, op=lambda x, k: x.clone(x.data*2))
self.assertEqual(op_hmap.last, hmap.last.clone(hmap.last.data*2, group='Operation'))
def test_operation_grid(self):
grid = GridSpace({i: Image(np.random.rand(10, 10)) for i in range(10)}, kdims=['X'])
op_grid = operation(grid, op=lambda x, k: x.clone(x.data*2))
doubled = grid.clone({k: v.clone(v.data*2, group='Operation')
for k, v in grid.items()})
self.assertEqual(op_grid, doubled)
def test_operation_ndlayout(self):
ndlayout = NdLayout({i: Image(np.random.rand(10, 10)) for i in range(10)})
op_ndlayout = operation(ndlayout, op=lambda x, k: x.clone(x.data*2))
doubled = ndlayout.clone({k: v.clone(v.data*2, group='Operation')
for k, v in ndlayout.items()})
self.assertEqual(op_ndlayout, doubled)
def test_operation_element(self):
img = Image(np.random.rand(10, 10))
op_img = operation(img, op=lambda x, k: x.clone(x.data*2))
self.assertEqual(op_img, img.clone(img.data*2, group='Operation'))
