def test_to_from_file_string(self):
for fmt in ["cif", "json", "poscar", "cssr"]:
s = self.struct.to(fmt=fmt)
self.assertIsNotNone(s)
ss = IStructure.from_str(s, fmt=fmt)
self.assertArrayAlmostEqual(ss.lattice.lengths_and_angles,
self.struct.lattice.lengths_and_angles,
decimal=5)
self.assertArrayAlmostEqual(ss.frac_coords,
self.struct.frac_coords)
self.assertIsInstance(ss, IStructure)
self.struct.to(filename="POSCAR.testing")
self.assertTrue(os.path.exists("POSCAR.testing"))
os.remove("POSCAR.testing")
self.struct.to(filename="Si_testing.yaml")
self.assertTrue(os.path.exists("Si_testing.yaml"))
s = Structure.from_file("Si_testing.yaml")
self.assertEqual(s, self.struct)
os.remove("Si_testing.yaml")
self.struct.to(filename="POSCAR.testing.gz")
s = Structure.from_file("POSCAR.testing.gz")
self.assertEqual(s, self.struct)
os.remove("POSCAR.testing.gz")
def test_to_from_file_string(self):
for fmt in ["cif", "json", "poscar", "cssr"]:
s = self.struct.to(fmt=fmt)
self.assertIsNotNone(s)
ss = IStructure.from_str(s, fmt=fmt)
self.assertArrayAlmostEqual(
ss.lattice.lengths_and_angles,
self.struct.lattice.lengths_and_angles, decimal=5)
self.assertArrayAlmostEqual(ss.frac_coords, self.struct.frac_coords)
self.assertIsInstance(ss, IStructure)
self.struct.to(filename="POSCAR.testing")
self.assertTrue(os.path.exists("POSCAR.testing"))
os.remove("POSCAR.testing")
self.struct.to(filename="Si_testing.yaml")
self.assertTrue(os.path.exists("Si_testing.yaml"))
s = Structure.from_file("Si_testing.yaml")
self.assertEqual(s, self.struct)
os.remove("Si_testing.yaml")
self.struct.to(filename="POSCAR.testing.gz")
s = Structure.from_file("POSCAR.testing.gz")
self.assertEqual(s, self.struct)
os.remove("POSCAR.testing.gz")
def load_jit_model(model_file, crystal_file_handle):
model = torch.jit.load(model_file)
model.eval()
cif_str = crystal_file_handle.read().decode("utf-8")
struct = IStructure.from_str(cif_str, fmt="cif")
dataset = StructureOnlyDataset([struct])
dataloader = DataLoader(dataset, batch_size=1)
input = next(iter(dataloader))
x, y = model(input)
x = x.detach().numpy()
y = y.detach().numpy()
return x, y