def makeTensor(self, name):
""" Create a tensor from the current interactively set attributes """
rank_ids = self.rank_ids[name]
t = Tensor.fromRandom(name=name,
rank_ids=rank_ids,
shape=[self.variables[r+"_SHAPE"] for r in rank_ids],
density=(len(rank_ids)-1)*[1.0]+[self.variables[name+"_DENSITY"]],
interval=self.variables[name+"_INTERVAL"],
seed=self.variables[name+"_SEED"],
color=self.variables[name+"_COLOR"])
return t
def test_fromRandom_wo_ids(self):
"""Test construction of a random tensor without rankids"""
rank_ids = ["R1", "R0"]
shape = [10, 10]
tensor_ref = Tensor.fromUncompressed(
rank_ids,
[[0, 10, 10, 1, 0, 9, 8, 0, 0, 3], [
9, 1, 0, 10, 1, 0, 10, 0, 0, 0
], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 3, 0, 3, 5, 0, 5, 7, 0, 0],
[6, 0, 0, 0, 0, 0, 6, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 2, 8, 2, 3, 7, 0, 0, 10], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 4, 0, 2, 9, 4, 0, 5], [6, 3, 0, 8, 0, 10, 0, 9, 4, 0]])
tensor = Tensor.fromRandom(None, shape, [0.5, 0.5], 10, seed=3)
self.assertEqual(tensor, tensor_ref)
self.assertEqual(tensor.getRankIds(), rank_ids)
