def test_search_by_index(builder):
error = np.arange(9, dtype=float).reshape(3, 3)
error[-1] = 7
iarr = RawBinary.map(FloatArray.from_numpy(error))
seq = Linear.flatten(0, iarr)
space = builder.build_informationspace(seq)
assert isinstance(space, IS)
name = "Block"
@staticmethod
def flatten(startnode, integerarray, weights=None):
default_weights = ()
if not weights:
weights = default_weights
startnode, integerarray = _check_input(startnode, integerarray)
shape = integerarray.array.shape
_, seq = bfs.BFSBlos(shape=shape, startidx=int(startnode)-1, weights=weights)
data = np.array([integerarray.array.flat[x] for x in seq])
return IndexSequence(list(seq), shape, data)
if __name__ == '__main__':
from pasc.objects.floatarray import FloatArray
from pasc.modifier.mapper import RawBinary
farr = FloatArray.from_data('pre', 'tas')
# farr = FloatArray.from_numpy(np.arange(43, dtype=float))
farr = FloatArray.from_numpy(farr.array[::, ::, ::])
iarr = RawBinary.map(farr)
startidx = 0
print(ChequerboardC.name, ChequerboardC.flatten(startidx, iarr).sequence)
print(BlossomC.name, BlossomC.flatten(startidx, iarr).sequence)
print(BlockC.name, BlockC.flatten(startidx, iarr).sequence)
print(Linear.name, Linear.flatten(startidx, iarr).sequence)
print(Blossom.name, Blossom.flatten(startidx, iarr).sequence)
print(Block.name, Block.flatten(startidx, iarr).sequence)
print(Chequerboard.name, Chequerboard.flatten(startidx, iarr).sequence)