summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
Diffstat
-rw-r--r--ml_exp/__main__.py15
-rw-r--r--ml_exp/adj_matrix.py90
-rw-r--r--ml_exp/read_qm7_data.py29
3 files changed, 127 insertions, 7 deletions
diff --git a/ml_exp/__main__.py b/ml_exp/__main__.py
index 167f0fa7b..63708e75c 100644
--- a/ml_exp/__main__.py
+++ b/ml_exp/__main__.py
@@ -20,10 +20,13 @@ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
-from ml_exp.do_ml import do_ml
+# from ml_exp.do_ml import do_ml
# from ml_exp.misc import plot_benchmarks
+from ml_exp.read_qm7_data import read_qm7_data
+from ml_exp.adj_matrix import fneig_matrix, adj_matrix
if __name__ == '__main__':
+ """
do_ml(min_training_size=1500,
max_training_size=2000,
training_increment_size=500,
@@ -34,5 +37,15 @@ if __name__ == '__main__':
r_seed=111,
save_benchmarks=False,
show_msgs=True)
+ """
# plot_benchmarks()
+ xyz, nc, pbe0, delta, atoms = read_qm7_data(return_atoms=True)
+ for i in range(1):
+ fnm, bonds = fneig_matrix(atoms[i], xyz[i])
+ am = adj_matrix(bonds)
+
+ print(f'{i} first neighbor matrix\n{fnm}')
+ print(f'{i} bond list\n{bonds}')
+ print(f'{i} adjacency matrix\n{am}')
+ print('-'*30)
print('OK!')
diff --git a/ml_exp/adj_matrix.py b/ml_exp/adj_matrix.py
new file mode 100644
index 000000000..1fbbe0555
--- /dev/null
+++ b/ml_exp/adj_matrix.py
@@ -0,0 +1,90 @@
+"""MIT License
+
+Copyright (c) 2019 David Luevano Alvarado
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+"""
+from numpy import array, zeros
+from numpy.linalg import norm
+
+
+def fneig_matrix(atoms,
+ xyz):
+ """
+ Creates the first neighbor matrix of the given molecule data.
+ atoms: list of atoms.
+ xyz: matrix of atomic coords.
+ NOTE: Bond distance of carbon to other elements
+ are (for atoms present in the qm7 dataset):
+ H: 1.06 - 1.12 A
+ O: 1.43 - 2.15 A
+ N: 1.47 - 2.10 A
+ S: 1.81 - 2.55 A
+ """
+ # Possible bonds.
+ ch_bond = sorted(['C', 'H'])
+ co_bond = sorted(['C', 'O'])
+ cn_bond = sorted(['C', 'N'])
+ cs_bond = sorted(['C', 'S'])
+
+ # Number of atoms, empty matrix and bond list.
+ n = len(atoms)
+ fnm = array(zeros((n, n)))
+ bonds = []
+ for i, xyz_i in enumerate(xyz):
+ for j, xyz_j in enumerate(xyz):
+ # Ignore the diagonal.
+ if i != j:
+ bond = sorted([atoms[i], atoms[j]])
+ r = norm(xyz_i - xyz_j)
+ # Check for each type of bond.
+ if (ch_bond == bond) and (r >= 1.06 and r <= 1.12):
+ fnm[i, j] = 1
+ if j > i:
+ bonds.append((i, j))
+ elif (co_bond == bond) and (r >= 1.43 and r <= 2.15):
+ fnm[i, j] = 1
+ if j > i:
+ bonds.append((i, j))
+ elif (cn_bond == bond) and (r >= 1.47 and r <= 2.10):
+ fnm[i, j] = 1
+ if j > i:
+ bonds.append((i, j))
+ elif (cs_bond == bond) and (r >= 1.81 and r <= 2.55):
+ fnm[i, j] = 1
+ if j > i:
+ bonds.append((i, j))
+ return fnm, bonds
+
+
+def adj_matrix(bonds):
+ """
+ Calculates the adjacency matrix given the bond list.
+ bonds: list of bonds (tuple of indexes).
+ """
+ n = len(bonds)
+ am = array(zeros((n, n)))
+ for i, bond_i in enumerate(bonds):
+ for j, bond_j in enumerate(bonds):
+ # Ignore the diagonal.
+ if i != j:
+ if (bond_i[0] in bond_j) or (bond_i[1] in bond_j):
+ am[i, j] = 1
+
+ return am
diff --git a/ml_exp/read_qm7_data.py b/ml_exp/read_qm7_data.py
index 51c0eaee7..06de44b02 100644
--- a/ml_exp/read_qm7_data.py
+++ b/ml_exp/read_qm7_data.py
@@ -53,13 +53,15 @@ def read_nc_data(data_path):
# https://github.com/qmlcode/tutorial
def read_db_data(zi_data,
data_path,
- r_seed=111):
+ r_seed=111,
+ return_atoms=False):
"""
Reads molecule database and extracts
its contents as usable variables.
zi_data: dictionary containing nuclear charge data.
data_path: path to the data directory.
r_seed: random seed to use for the shuffling.
+ return_atoms: if atom list should be returned.
"""
os.chdir(data_path)
@@ -93,6 +95,7 @@ def read_db_data(zi_data,
mol_data = []
mol_nc_data = []
+ atoms = []
# Actual reading of the xyz files.
for i, k in enumerate(energy_temp_shuffled.keys()):
with open(k, 'r') as xyz_file:
@@ -101,15 +104,18 @@ def read_db_data(zi_data,
len_lines = len(lines)
mol_temp_data = []
mol_nc_temp_data = np.array(np.zeros(len_lines-2))
+ atoms_temp = []
for j, line in enumerate(lines[2:len_lines]):
line_list = line.split()
+ atoms_temp.append(line_list[0])
mol_nc_temp_data[j] = float(zi_data[line_list[0]])
line_data = np.array(np.asarray(line_list[1:4], dtype=float))
mol_temp_data.append(line_data)
mol_data.append(mol_temp_data)
mol_nc_data.append(mol_nc_temp_data)
+ atoms.append(atoms_temp)
# Convert everything to a numpy array.
molecules = np.array([np.array(mol) for mol in mol_data])
@@ -119,27 +125,38 @@ def read_db_data(zi_data,
energy_delta = np.array([energy_temp_shuffled[k][1]
for k in energy_temp_shuffled.keys()])
+ if return_atoms:
+ return molecules, nuclear_charge, energy_pbe0, energy_delta, atoms
return molecules, nuclear_charge, energy_pbe0, energy_delta
-def read_qm7_data(r_seed=111):
+def read_qm7_data(data_path='data',
+ r_seed=111,
+ return_atoms=False):
"""
Reads all the qm7 data.
+ data_path: path to the data directory.
r_seed: random seed to use for the shuffling.
+ return_atoms: if atom list should be returned.
"""
tic = time.perf_counter()
printc('Data reading started.', 'CYAN')
init_path = os.getcwd()
- os.chdir('data')
+ os.chdir(data_path)
data_path = os.getcwd()
zi_data = read_nc_data(data_path)
- molecules, nuclear_charge, energy_pbe0, energy_delta = \
- read_db_data(zi_data, data_path, r_seed)
+ if return_atoms:
+ molecules, nuclear_charge, energy_pbe0, energy_delta, atoms = \
+ read_db_data(zi_data, data_path, r_seed, return_atoms)
+ else:
+ molecules, nuclear_charge, energy_pbe0, energy_delta = \
+ read_db_data(zi_data, data_path, r_seed)
os.chdir(init_path)
toc = time.perf_counter()
printc('\tData reading took {:.4f} seconds.'.format(toc-tic), 'GREEN')
-
+ if return_atoms:
+ return molecules, nuclear_charge, energy_pbe0, energy_delta, atoms
return molecules, nuclear_charge, energy_pbe0, energy_delta
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2024-12-22 12:39:43 +0000