def create(source_set, sink_set, layout, connections):
def ensure_uniform(l):
assert min(l) == max(l)
return l[0]
sorted_sources = sorted(source_set)
flat_sources = list(flatten(sorted_sources))
nesting = convert_to_nested_indices(sorted_sources)
# get buffer type for hub and assert its uniform
structs = [
BufferStructure.from_layout(get_by_path(layout, s))
for s in flat_sources
]
btype = ensure_uniform([s.buffer_type for s in structs])
# max context size
context_size = max([s.context_size for s in structs])
hub = Hub(flat_sources, nesting, sorted(sink_set), btype, context_size)
hub.setup(connections)
hub.sizes = [structs[i].feature_size for i in hub.perm]
hub.size = sum(hub.sizes)
hub.is_backward_only = ensure_uniform(
[structs[i].is_backward_only for i in hub.perm])
return hub
def create(source_set, sink_set, layout, connections):
def ensure_uniform(l):
assert min(l) == max(l)
return l[0]
sorted_sources = sorted(source_set)
flat_sources = list(flatten(sorted_sources))
nesting = convert_to_nested_indices(sorted_sources)
# get buffer type for hub and assert its uniform
structs = [BufferStructure.from_layout(get_by_path(layout, s)) for s in flat_sources]
btype = ensure_uniform([s.buffer_type for s in structs])
# max context size
context_size = max([s.context_size for s in structs])
hub = Hub(flat_sources, nesting, sorted(sink_set), btype, context_size)
hub.setup(connections)
hub.sizes = [structs[i].feature_size for i in hub.perm]
hub.size = sum(hub.sizes)
hub.is_backward_only = ensure_uniform([structs[i].is_backward_only for i in hub.perm])
return hub
def test_convert_to_nested_indices():
assert list(convert_to_nested_indices(
['a', ('b', 'c', 'a'), 'b', ['c', ('c', 'c'), 'b']])) == \
[0, [1, 2, 3], 4, [5, [6, 7], 8]]
def test_convert_to_nested_indices():
assert list(convert_to_nested_indices(
['a', ('b', 'c', 'a'), 'b', ['c', ('c', 'c'), 'b']])) == \
[0, [1, 2, 3], 4, [5, [6, 7], 8]]
