From 759318247ce15cacbce2479782a0e7f2888306a7 Mon Sep 17 00:00:00 2001 From: Ksenia Date: Mon, 4 Dec 2023 14:49:01 +0100 Subject: [PATCH 1/7] Add slatm representation --- qstack/qml/slatm.py | 190 ++++++++++++++++++++++++++++++++++++++++++++ qstack/qml/test.py | 39 +++++++++ 2 files changed, 229 insertions(+) create mode 100644 qstack/qml/slatm.py create mode 100644 qstack/qml/test.py diff --git a/qstack/qml/slatm.py b/qstack/qml/slatm.py new file mode 100644 index 0000000..f6f246e --- /dev/null +++ b/qstack/qml/slatm.py @@ -0,0 +1,190 @@ +import numpy as np +import itertools +from types import SimpleNamespace + + +defaults = SimpleNamespace(sigma2=0.05, r0=0.1, rcut=4.8, dgrid2=0.03, theta0=20.0*np.pi/180.0, sigma3=0.05, dgrid3=0.03) + + +def get_mbtypes(qs, qml=False): + + # all the elements + elements = itertools.chain.from_iterable(list(i) for i in qs) + if qml: + # bad because sets are not ordered + elements = np.array(list(set(elements))) + else: + elements = np.unique(list(elements)) + + # max number of atoms of each element across mols + max_nq_in_mol = np.max([np.count_nonzero(q==elements[:,None], axis=1) for q in qs], axis=0) + + pairs = [(q, q) for q in elements] + [*itertools.combinations(elements, 2)] + + triples = [] + for q1 in elements: + for (q2, q3) in pairs: + for triple in [(q1, q2, q3), (q1, q3, q2), (q2, q1, q3)]: + if (triple not in triples) and (triple[::-1] not in triples): + nq_in_triple = np.count_nonzero(triple==elements[:,None], axis=1) + if np.all(nq_in_triple <= max_nq_in_mol): + triples.append(triple) + return {1: elements, 2: pairs, 3: triples} + + + +def get_two_body(i, mbtype, q, dist, + r0=defaults.r0, rcut=defaults.rcut, + sigma=defaults.sigma2, dgrid=defaults.dgrid2): + + ngrid = int((rcut - r0)/dgrid) + 1 + rgrid = np.linspace(r0, rcut, ngrid) + + qi = q[i] + if qi not in mbtype: + return np.zeros_like(rgrid) + + if qi==mbtype[0]: + (q1, q2) = mbtype + else: + (q1, q2) = mbtype[::-1] + + london = q1 * q2 / rgrid**6 + delta_norm = 1.0/(sigma * np.sqrt(2*np.pi)) + deltas = np.zeros(ngrid) + + j = np.where(q==q2)[0] + j = j[j!=i] + + dist_ij = dist[np.ix_(j,[i])] + dist_ij = dist_ij[np.where(dist_ijrcut: + continue + + for k in np.where(q==q3)[0]: + if k==j or k==i or dist[i,k]>rcut or dist[j,k]>rcut: + continue + + cos_ikj = get_cos(i, k, j) + cos_jik = get_cos(j, i, k) + atm = (1.0 + np.cos(tgrid) * cos_ikj * cos_jik) / (dist[i,j]*dist[i,k]*dist[j,k])**3 + + cos_ijk = get_cos(i, j, k) + theta_ijk = np.arccos(cos_ijk) + delta = delta_norm * np.exp(-(tgrid-theta_ijk)**2 * 0.5/(sigma**2)) + + spectrum += delta * atm + + if q1==q3: + spectrum *= 0.5 + return spectrum * dgrid * q1 * q2 * q3 / 3.0 + + + +def get_slatm(q, r, mbtypes, qml_compatible=True, stack_all=True, + r0=defaults.r0, rcut=defaults.rcut, sigma2=defaults.sigma2, dgrid2=defaults.dgrid2, + theta0=defaults.theta0, sigma3=defaults.sigma3, dgrid3=defaults.dgrid3): + + natoms = len(q) + dist = np.zeros((natoms, natoms)) + for (i,j) in itertools.product(range(natoms), range(natoms)): + dist[i,j] = np.linalg.norm(r[i]-r[j]) + + slatm = [] + for i, qi in enumerate(q): + + # 1-body terms + if qml_compatible: + slatm1b = (mbtypes[1] == qi)*qi.astype(float) + else: + slatm1b = np.array((float(qi,))) + + # 2-body terms + slatm2b = [] + for mbtype in mbtypes[2]: + if (not qml_compatible) and (qi not in mbtype): + continue + two_body = get_two_body(i, mbtype, q, dist, + sigma=sigma2, dgrid=dgrid2, r0=r0, rcut=rcut) + slatm2b.append(two_body) + + # 3-body terms + slatm3b = [] + for mbtype in mbtypes[3]: + if (not qml_compatible) and (qi != mbtype[1]): + continue + three_body = get_three_body(i, mbtype, q, r, dist, + sigma=sigma3, dgrid=dgrid3, rcut=rcut, theta0=theta0) + slatm3b.append(three_body) + + # concatenate + if stack_all: + slatm2b = np.hstack(slatm2b) + slatm3b = np.hstack(slatm3b) + slatm.append(np.hstack((slatm1b, slatm2b, slatm3b))) + else: + slatm.append({1: slatm1b, 2: slatm2b, 3: slatm3b}) + + if stack_all: + slatm = np.vstack(slatm) + + return slatm + + + +def get_slatm_for_dataset(molecules, + progress=False, + qml_mbtypes=True, qml_compatible=True, stack_all=True, + r0=defaults.r0, rcut=defaults.rcut, sigma2=defaults.sigma2, dgrid2=defaults.dgrid2, + theta0=defaults.theta0, sigma3=defaults.sigma3, dgrid3=defaults.dgrid3): + + if isinstance(molecules[0], str): + import ase + molecules = [ase.io.read(xyz) for xyz in molecules] + + qs = [mol.numbers for mol in molecules] + mbtypes = get_mbtypes(qs, qml=True) + + if progress: + import tqdm + molecules = tqdm.tqdm(molecules) + + slatm = [] + for mol in molecules: + slatm.append(get_slatm(mol.numbers, mol.positions, mbtypes, + qml_compatible=qml_compatible, stack_all=stack_all, + r0=r0, rcut=rcut, sigma2=sigma2, dgrid2=dgrid2, + theta0=theta0, sigma3=sigma3, dgrid3=dgrid3)) + if stack_all: + slatm = np.vstack(slatm) + + return slatm diff --git a/qstack/qml/test.py b/qstack/qml/test.py new file mode 100644 index 0000000..8856423 --- /dev/null +++ b/qstack/qml/test.py @@ -0,0 +1,39 @@ +import numpy as np +import ase.io +from slatm import get_mbtypes, get_slatm, get_slatm_for_dataset +from tqdm import tqdm + +xyzs = ['4118.xyz'] + +import os +import random + +xyzs = [f'qm7/{f}' for f in sorted(os.listdir("qm7/")) if f[0]!='.'] +random.seed(666) +random.shuffle(xyzs) + +xyzs = xyzs + +#mols = [ase.io.read(xyz) for xyz in xyzs] +# +#mbtypes = get_mbtypes([mol.numbers for mol in mols]) +#print(mbtypes[1]) +# +#print() +# +#mbtypes = get_mbtypes([mol.numbers for mol in mols], qml=True) +#print(mbtypes[1]) +# +##exit(0) +# +#for mol in tqdm(mols): +# get_slatm(mol.numbers, mol.positions, mbtypes, dgrid3=0.3, dgrid2=0.3) + + + + + + +v0 = get_slatm_for_dataset(xyzs, progress=True) #, dgrid2=0.3, dgrid3=0.3) +np.save('test', v0) + From 602061057cf00ae0ecff311b9b70e5f8def01da6 Mon Sep 17 00:00:00 2001 From: Ksenia Date: Mon, 4 Dec 2023 18:14:48 +0100 Subject: [PATCH 2/7] Add global slatm and tests todo: condensed version; mbtypes options --- environment.yml | 2 ++ qstack/qml/__init__.py | 1 + qstack/qml/slatm.py | 8 +++++- qstack/qml/test.py | 39 ------------------------------ requirements.txt | 2 ++ tests/data/slatm/0.xyz | 19 +++++++++++++++ tests/data/slatm/1.xyz | 13 ++++++++++ tests/data/slatm/2.xyz | 17 +++++++++++++ tests/data/slatm/3.xyz | 15 ++++++++++++ tests/data/slatm/4.xyz | 17 +++++++++++++ tests/data/slatm/slatm_global.npy | Bin 0 -> 257648 bytes tests/data/slatm/slatm_local.npy | Bin 0 -> 3656912 bytes tests/test_slatm.py | 25 +++++++++++++++++++ 13 files changed, 118 insertions(+), 40 deletions(-) create mode 100644 qstack/qml/__init__.py delete mode 100644 qstack/qml/test.py create mode 100644 tests/data/slatm/0.xyz create mode 100644 tests/data/slatm/1.xyz create mode 100644 tests/data/slatm/2.xyz create mode 100644 tests/data/slatm/3.xyz create mode 100644 tests/data/slatm/4.xyz create mode 100644 tests/data/slatm/slatm_global.npy create mode 100644 tests/data/slatm/slatm_local.npy create mode 100755 tests/test_slatm.py diff --git a/environment.yml b/environment.yml index 0a7510c..ad2aa2b 100644 --- a/environment.yml +++ b/environment.yml @@ -46,4 +46,6 @@ dependencies: - pytest==6.2.5 - scipy==1.7.3 - toml==0.10.2 + - ase==3.22 + - tqdm==4.66 - git+https://github.com/lab-cosmo/equistore.git@e5b9dc365369ba2584ea01e9d6a4d648008aaab8#subdirectory=python/equistore-core diff --git a/qstack/qml/__init__.py b/qstack/qml/__init__.py new file mode 100644 index 0000000..53e6300 --- /dev/null +++ b/qstack/qml/__init__.py @@ -0,0 +1 @@ +from qstack.qml import slatm diff --git a/qstack/qml/slatm.py b/qstack/qml/slatm.py index f6f246e..74fbaa8 100644 --- a/qstack/qml/slatm.py +++ b/qstack/qml/slatm.py @@ -111,6 +111,7 @@ def get_cos(a, b, c): def get_slatm(q, r, mbtypes, qml_compatible=True, stack_all=True, + global_repr=False, r0=defaults.r0, rcut=defaults.rcut, sigma2=defaults.sigma2, dgrid2=defaults.dgrid2, theta0=defaults.theta0, sigma3=defaults.sigma3, dgrid3=defaults.dgrid3): @@ -157,18 +158,22 @@ def get_slatm(q, r, mbtypes, qml_compatible=True, stack_all=True, if stack_all: slatm = np.vstack(slatm) + if global_repr: + slatm = np.sum(slatm, axis=0) + return slatm def get_slatm_for_dataset(molecules, progress=False, + global_repr=False, qml_mbtypes=True, qml_compatible=True, stack_all=True, r0=defaults.r0, rcut=defaults.rcut, sigma2=defaults.sigma2, dgrid2=defaults.dgrid2, theta0=defaults.theta0, sigma3=defaults.sigma3, dgrid3=defaults.dgrid3): if isinstance(molecules[0], str): - import ase + import ase.io molecules = [ase.io.read(xyz) for xyz in molecules] qs = [mol.numbers for mol in molecules] @@ -181,6 +186,7 @@ def get_slatm_for_dataset(molecules, slatm = [] for mol in molecules: slatm.append(get_slatm(mol.numbers, mol.positions, mbtypes, + global_repr=global_repr, qml_compatible=qml_compatible, stack_all=stack_all, r0=r0, rcut=rcut, sigma2=sigma2, dgrid2=dgrid2, theta0=theta0, sigma3=sigma3, dgrid3=dgrid3)) diff --git a/qstack/qml/test.py b/qstack/qml/test.py deleted file mode 100644 index 8856423..0000000 --- a/qstack/qml/test.py +++ /dev/null @@ -1,39 +0,0 @@ -import numpy as np -import ase.io -from slatm import get_mbtypes, get_slatm, get_slatm_for_dataset -from tqdm import tqdm - -xyzs = ['4118.xyz'] - -import os -import random - -xyzs = [f'qm7/{f}' for f in sorted(os.listdir("qm7/")) if f[0]!='.'] -random.seed(666) -random.shuffle(xyzs) - -xyzs = xyzs - -#mols = [ase.io.read(xyz) for xyz in xyzs] -# -#mbtypes = get_mbtypes([mol.numbers for mol in mols]) -#print(mbtypes[1]) -# -#print() -# -#mbtypes = get_mbtypes([mol.numbers for mol in mols], qml=True) -#print(mbtypes[1]) -# -##exit(0) -# -#for mol in tqdm(mols): -# get_slatm(mol.numbers, mol.positions, mbtypes, dgrid3=0.3, dgrid2=0.3) - - - - - - -v0 = get_slatm_for_dataset(xyzs, progress=True) #, dgrid2=0.3, dgrid3=0.3) -np.save('test', v0) - diff --git a/requirements.txt b/requirements.txt index 5e77066..97d3f03 100644 --- a/requirements.txt +++ b/requirements.txt @@ -14,5 +14,7 @@ numpy===1.22.3 scipy==1.7.3 toml==0.10.2 scikit-learn==0.24.2 +ase==3.22 +tqdm==4.66 equistore-core @ git+https://github.com/lab-cosmo/equistore.git@e5b9dc365369ba2584ea01e9d6a4d648008aaab8#subdirectory=python/equistore-core diff --git a/tests/data/slatm/0.xyz b/tests/data/slatm/0.xyz new file mode 100644 index 0000000..7185cfc --- /dev/null +++ b/tests/data/slatm/0.xyz @@ -0,0 +1,19 @@ +17 +charge = 0 + C 1.334277 0.421896 -0.503330 + O 1.606734 -0.382606 0.614935 + C 2.562285 0.137308 1.501005 + C 3.936133 0.288058 0.884991 + C 2.115760 1.334063 2.366971 + O 2.402190 0.606383 3.567262 + C 2.549701 -0.616684 2.832718 + H 0.474474 -0.017852 -1.008820 + H 2.173000 0.455753 -1.208437 + H 1.079495 1.450047 -0.212828 + H 3.949111 1.048035 0.100338 + H 4.264756 -0.662057 0.456512 + H 4.653061 0.590591 1.650946 + H 1.046433 1.556985 2.270572 + H 2.698776 2.257263 2.297841 + H 1.674223 -1.266707 2.933492 + H 3.457962 -1.159075 3.110051 diff --git a/tests/data/slatm/1.xyz b/tests/data/slatm/1.xyz new file mode 100644 index 0000000..f61c72b --- /dev/null +++ b/tests/data/slatm/1.xyz @@ -0,0 +1,13 @@ +11 +charge = 0 + C 0.737797 0.000562 0.073413 + C 2.064519 -0.031214 -0.079240 + N 2.711390 0.065790 -1.302740 + C 4.063267 0.040246 -1.527779 + O 4.541353 0.130874 -2.627340 + C 2.899768 -0.173867 1.077472 + N 3.550775 -0.288994 2.019337 + H 0.076383 0.107156 -0.777476 + H 0.302610 -0.080503 1.057996 + H 2.136563 0.166701 -2.127042 + H 4.656784 -0.071049 -0.605791 \ No newline at end of file diff --git a/tests/data/slatm/2.xyz b/tests/data/slatm/2.xyz new file mode 100644 index 0000000..c2fcb29 --- /dev/null +++ b/tests/data/slatm/2.xyz @@ -0,0 +1,17 @@ +15 +charge = 0 + O 2.634473 0.575247 -0.666752 + C 2.184265 -0.046602 0.250982 + O 2.882994 -0.627798 1.223051 + C 4.301892 -0.493465 1.148105 + C 4.942708 0.783769 1.698156 + C 6.043112 -0.116490 2.298216 + C 5.067033 -1.307379 2.185849 + H 1.111814 -0.226951 0.418138 + H 4.622887 -0.695969 0.124698 + H 4.314974 1.214015 2.481754 + H 5.218382 1.560136 0.985767 + H 6.415691 0.135583 3.290388 + H 6.892530 -0.222863 1.621469 + H 4.470240 -1.413280 3.094053 + H 5.452897 -2.283473 1.891117 \ No newline at end of file diff --git a/tests/data/slatm/3.xyz b/tests/data/slatm/3.xyz new file mode 100644 index 0000000..0a4fbba --- /dev/null +++ b/tests/data/slatm/3.xyz @@ -0,0 +1,15 @@ +13 +charge = 0 + N 0.922783 0.082122 -0.086886 + C 2.194494 0.111758 -0.036301 + N 2.983989 1.248023 -0.232815 + O 4.204400 1.227224 0.484302 + C 5.010475 0.201859 -0.046570 + C 4.293889 -1.106183 0.007541 + C 2.965284 -1.128936 0.067134 + H 0.524250 1.016312 -0.182736 + H 2.531718 2.113654 0.029945 + H 5.903984 0.190610 0.581907 + H 5.315589 0.440806 -1.077588 + H 4.877672 -2.020729 -0.001784 + H 2.387973 -2.041720 0.135840 \ No newline at end of file diff --git a/tests/data/slatm/4.xyz b/tests/data/slatm/4.xyz new file mode 100644 index 0000000..44126b8 --- /dev/null +++ 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@@ +import os +import glob +import numpy as np +from qstack.qml.slatm import get_slatm_for_dataset + + +def test_slatm_global(): + path = os.path.dirname(os.path.realpath(__file__)) + v0 = np.load(f'{path}/data/slatm/slatm_global.npy') + xyzs = [f for f in sorted(glob.glob(f"{path}/data/slatm/*.xyz"))] + v = get_slatm_for_dataset(xyzs, progress=False, global_repr=True) + assert(np.linalg.norm(v-v0)<1e-10) + + +def test_slatm_local(): + path = os.path.dirname(os.path.realpath(__file__)) + v0 = np.load(f'{path}/data/slatm/slatm_local.npy') + xyzs = [f for f in sorted(glob.glob(f"{path}/data/slatm/*.xyz"))] + v = get_slatm_for_dataset(xyzs, progress=False) + assert(np.linalg.norm(v-v0)<1e-10) + + +if __name__ == '__main__': + test_slatm_local() + test_slatm_global() From ffcf669bf6fa1d039bae356bf35e1a175b897ad9 Mon Sep 17 00:00:00 2001 From: Ksenia Date: Mon, 4 Dec 2023 18:18:02 +0100 Subject: [PATCH 3/7] Fixup 6020610: shorten the test --- tests/test_slatm.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_slatm.py b/tests/test_slatm.py index 081661e..040764f 100755 --- a/tests/test_slatm.py +++ b/tests/test_slatm.py @@ -7,7 +7,7 @@ def test_slatm_global(): path = os.path.dirname(os.path.realpath(__file__)) v0 = np.load(f'{path}/data/slatm/slatm_global.npy') - xyzs = [f for f in sorted(glob.glob(f"{path}/data/slatm/*.xyz"))] + xyzs = sorted(glob.glob(f"{path}/data/slatm/*.xyz")) v = get_slatm_for_dataset(xyzs, progress=False, global_repr=True) assert(np.linalg.norm(v-v0)<1e-10) @@ -15,7 +15,7 @@ def test_slatm_global(): def test_slatm_local(): path = os.path.dirname(os.path.realpath(__file__)) v0 = np.load(f'{path}/data/slatm/slatm_local.npy') - xyzs = [f for f in sorted(glob.glob(f"{path}/data/slatm/*.xyz"))] + xyzs = sorted(glob.glob(f"{path}/data/slatm/*.xyz")) v = get_slatm_for_dataset(xyzs, progress=False) assert(np.linalg.norm(v-v0)<1e-10) From 65f65157251e2d65ab5d8cb162eb564383a21bf2 Mon Sep 17 00:00:00 2001 From: Ksenia Date: Thu, 15 Feb 2024 14:11:50 +0100 Subject: [PATCH 4/7] Add docstrings for the slatm wrapper --- qstack/qml/slatm.py | 32 ++++++++++++++++++++++++++++++++ 1 file changed, 32 insertions(+) diff --git a/qstack/qml/slatm.py b/qstack/qml/slatm.py index 74fbaa8..59a18a8 100644 --- a/qstack/qml/slatm.py +++ b/qstack/qml/slatm.py @@ -115,6 +115,9 @@ def get_slatm(q, r, mbtypes, qml_compatible=True, stack_all=True, r0=defaults.r0, rcut=defaults.rcut, sigma2=defaults.sigma2, dgrid2=defaults.dgrid2, theta0=defaults.theta0, sigma3=defaults.sigma3, dgrid3=defaults.dgrid3): + # for global representation, qml_compatible should be True + qml_compatible = qml_compatible or global_repr + natoms = len(q) dist = np.zeros((natoms, natoms)) for (i,j) in itertools.product(range(natoms), range(natoms)): @@ -171,6 +174,35 @@ def get_slatm_for_dataset(molecules, qml_mbtypes=True, qml_compatible=True, stack_all=True, r0=defaults.r0, rcut=defaults.rcut, sigma2=defaults.sigma2, dgrid2=defaults.dgrid2, theta0=defaults.theta0, sigma3=defaults.sigma3, dgrid3=defaults.dgrid3): + """ Computes (a)SLATM representation for a set of molecules. + + Reference: + Huang, B., von Lilienfeld, O.A. + Quantum machine learning using atom-in-molecule-based fragments selected on the fly. + Nat. Chem. 12, 945–951 (2020), doi:10.1038/s41557-020-0527-z + + Args: + molecules (Union(List[ase.Atoms], List[str]): pre-loaded ASE molecules or paths to the xyz files. + Alternatively, a list of any objects providing fields .numbers and .positions (Å) + global_repr (bool): return molecular SLATM if True, return atomic SLATM (aSLATM) if False + qml_mbtypes (bool): if True, mbtypes order should be identical as from QML (https://www.qmlcode.org/). + if False, the elements are sorted thus mbtype order can differ from QML in some cases + qml_compatible (bool): if False, the local representation (global_repr=False) is condensed + stack_all (bool): if stack the representations into one big ndarray + + rcut (float): radial cutoff (Å) for the 2- and 3-body terms + r0 (float): grid range parameter (Å) [r0, rcut] for the 2-body term + sigma2 (float): gaussian width for the 2-body term (Å) + dgrid2 (float): grid spacing for the 2-body term (Å) + theta0 (float): grid range parameter (°) [theta0, 180-theta0] for the 3-body term + sigma3 (float): gaussian width for the 3-body term (°) + dgrid3 (float): grid spacing for the 3-body term (°) + + progress (bool): if print progress bar + + Returns: + ndrarray or List[List[ndarray]] containing the SLATM representation for each molecule. + """ if isinstance(molecules[0], str): import ase.io From ae98c188bf6e9e3872ff9d2882294f0cdd28c20c Mon Sep 17 00:00:00 2001 From: Ksenia Date: Thu, 15 Feb 2024 14:16:59 +0100 Subject: [PATCH 5/7] Fix the condensed variant --- qstack/qml/slatm.py | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/qstack/qml/slatm.py b/qstack/qml/slatm.py index 59a18a8..f840560 100644 --- a/qstack/qml/slatm.py +++ b/qstack/qml/slatm.py @@ -32,6 +32,14 @@ def get_mbtypes(qs, qml=False): return {1: elements, 2: pairs, 3: triples} +def pad_zeros(slatm): + n_features = np.array([x.shape[-1] for x in slatm]) + pad_sizes = max(n_features)-n_features + for i in range(len(slatm)): + if pad_sizes[i]: + slatm[i] = np.pad(slatm[i], (0, pad_sizes[i])) + return slatm + def get_two_body(i, mbtype, q, dist, r0=defaults.r0, rcut=defaults.rcut, @@ -158,7 +166,9 @@ def get_slatm(q, r, mbtypes, qml_compatible=True, stack_all=True, else: slatm.append({1: slatm1b, 2: slatm2b, 3: slatm3b}) - if stack_all: + if stack_all or global_repr: + if not qml_compatible: + slatm = pad_zeros(slatm) slatm = np.vstack(slatm) if global_repr: @@ -223,6 +233,8 @@ def get_slatm_for_dataset(molecules, r0=r0, rcut=rcut, sigma2=sigma2, dgrid2=dgrid2, theta0=theta0, sigma3=sigma3, dgrid3=dgrid3)) if stack_all: + if not qml_compatible: + slatm = pad_zeros(slatm) slatm = np.vstack(slatm) return slatm From d997c00275f96f93973082ad8ddfe5d8b742f318 Mon Sep 17 00:00:00 2001 From: Ksenia Date: Thu, 15 Feb 2024 14:17:53 +0100 Subject: [PATCH 6/7] Fix: Actually pass the qml_mbtypes option --- qstack/qml/slatm.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/qstack/qml/slatm.py b/qstack/qml/slatm.py index f840560..962d8cd 100644 --- a/qstack/qml/slatm.py +++ b/qstack/qml/slatm.py @@ -219,7 +219,7 @@ def get_slatm_for_dataset(molecules, molecules = [ase.io.read(xyz) for xyz in molecules] qs = [mol.numbers for mol in molecules] - mbtypes = get_mbtypes(qs, qml=True) + mbtypes = get_mbtypes(qs, qml=qml_mbtypes) if progress: import tqdm From 3b236d5c258dda7af59ea3d84cb440fa77a67251 Mon Sep 17 00:00:00 2001 From: Ksenia Date: Thu, 15 Feb 2024 18:06:51 +0100 Subject: [PATCH 7/7] Add B2R2 and SLATM_d MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit See https://github.com/lcmd-epfl/benchmark-barrier-learning/commit/527497410e56fe09eb02e41a9e1fa898a9f62089 Note that the test data are slightly different from the benchmark repo because here we use a more exact Bohr→Å conversion --- qstack/qml/b2r2.py | 196 ++++++++++++++++++++++++++ qstack/qml/slatm.py | 63 ++++++++- tests/data/rxn-repr/b2r2_a.npy | Bin 0 -> 299648 bytes tests/data/rxn-repr/b2r2_l.npy | Bin 0 -> 119936 bytes tests/data/rxn-repr/b2r2_n.npy | Bin 0 -> 60032 bytes tests/data/rxn-repr/idx.dat | 32 +++++ tests/data/rxn-repr/slatm_d.npy | Bin 0 -> 1681024 bytes tests/data/rxn-repr/xyz/p000000.xyz | 12 ++ tests/data/rxn-repr/xyz/p000001.xyz | 12 ++ tests/data/rxn-repr/xyz/p000002_0.xyz | 13 ++ tests/data/rxn-repr/xyz/p000002_1.xyz | 6 + tests/data/rxn-repr/xyz/p000003_0.xyz | 9 ++ tests/data/rxn-repr/xyz/p000003_1.xyz | 10 ++ tests/data/rxn-repr/xyz/p000004_0.xyz | 9 ++ tests/data/rxn-repr/xyz/p000004_1.xyz | 10 ++ tests/data/rxn-repr/xyz/p000006_0.xyz | 13 ++ tests/data/rxn-repr/xyz/p000006_1.xyz | 6 + tests/data/rxn-repr/xyz/p000007_0.xyz | 6 + tests/data/rxn-repr/xyz/p000007_1.xyz | 6 + tests/data/rxn-repr/xyz/p000008.xyz | 19 +++ tests/data/rxn-repr/xyz/p000009.xyz | 19 +++ tests/data/rxn-repr/xyz/p000010_0.xyz | 17 +++ tests/data/rxn-repr/xyz/p000010_1.xyz | 5 + tests/data/rxn-repr/xyz/p000011.xyz | 19 +++ tests/data/rxn-repr/xyz/p000012.xyz | 12 ++ tests/data/rxn-repr/xyz/p000013.xyz | 12 ++ tests/data/rxn-repr/xyz/p000014.xyz | 12 ++ tests/data/rxn-repr/xyz/p000015.xyz | 12 ++ tests/data/rxn-repr/xyz/p000016.xyz | 12 ++ tests/data/rxn-repr/xyz/p000017.xyz | 12 ++ tests/data/rxn-repr/xyz/p000018.xyz | 12 ++ tests/data/rxn-repr/xyz/p000019.xyz | 12 ++ tests/data/rxn-repr/xyz/p000020_0.xyz | 8 ++ tests/data/rxn-repr/xyz/p000020_1.xyz | 7 + tests/data/rxn-repr/xyz/p000022.xyz | 12 ++ tests/data/rxn-repr/xyz/p000023_0.xyz | 16 +++ tests/data/rxn-repr/xyz/p000023_1.xyz | 6 + tests/data/rxn-repr/xyz/p000024_0.xyz | 9 ++ tests/data/rxn-repr/xyz/p000024_1.xyz | 13 ++ tests/data/rxn-repr/xyz/p000025_0.xyz | 5 + tests/data/rxn-repr/xyz/p000025_1.xyz | 17 +++ tests/data/rxn-repr/xyz/p000026_0.xyz | 9 ++ tests/data/rxn-repr/xyz/p000026_1.xyz | 13 ++ tests/data/rxn-repr/xyz/p000027_0.xyz | 16 +++ tests/data/rxn-repr/xyz/p000027_1.xyz | 6 + tests/data/rxn-repr/xyz/p000028_0.xyz | 9 ++ tests/data/rxn-repr/xyz/p000028_1.xyz | 13 ++ tests/data/rxn-repr/xyz/p000029_0.xyz | 5 + tests/data/rxn-repr/xyz/p000029_1.xyz | 17 +++ tests/data/rxn-repr/xyz/p000030.xyz | 19 +++ tests/data/rxn-repr/xyz/p000031_0.xyz | 5 + tests/data/rxn-repr/xyz/p000031_1.xyz | 17 +++ tests/data/rxn-repr/xyz/p000032.xyz | 19 +++ tests/data/rxn-repr/xyz/p000033_0.xyz | 5 + tests/data/rxn-repr/xyz/p000033_1.xyz | 17 +++ tests/data/rxn-repr/xyz/r000000.xyz | 12 ++ tests/data/rxn-repr/xyz/r000001.xyz | 12 ++ tests/data/rxn-repr/xyz/r000002.xyz | 16 +++ tests/data/rxn-repr/xyz/r000003.xyz | 16 +++ tests/data/rxn-repr/xyz/r000004.xyz | 16 +++ tests/data/rxn-repr/xyz/r000006.xyz | 16 +++ tests/data/rxn-repr/xyz/r000007.xyz | 9 ++ tests/data/rxn-repr/xyz/r000008.xyz | 19 +++ tests/data/rxn-repr/xyz/r000009.xyz | 19 +++ tests/data/rxn-repr/xyz/r000010.xyz | 19 +++ tests/data/rxn-repr/xyz/r000011.xyz | 19 +++ tests/data/rxn-repr/xyz/r000012.xyz | 12 ++ tests/data/rxn-repr/xyz/r000013.xyz | 12 ++ tests/data/rxn-repr/xyz/r000014.xyz | 12 ++ tests/data/rxn-repr/xyz/r000015.xyz | 12 ++ tests/data/rxn-repr/xyz/r000016.xyz | 12 ++ tests/data/rxn-repr/xyz/r000017.xyz | 12 ++ tests/data/rxn-repr/xyz/r000018.xyz | 12 ++ tests/data/rxn-repr/xyz/r000019.xyz | 12 ++ tests/data/rxn-repr/xyz/r000020.xyz | 12 ++ tests/data/rxn-repr/xyz/r000022.xyz | 12 ++ tests/data/rxn-repr/xyz/r000023.xyz | 19 +++ tests/data/rxn-repr/xyz/r000024.xyz | 19 +++ tests/data/rxn-repr/xyz/r000025.xyz | 19 +++ tests/data/rxn-repr/xyz/r000026.xyz | 19 +++ tests/data/rxn-repr/xyz/r000027.xyz | 19 +++ tests/data/rxn-repr/xyz/r000028.xyz | 19 +++ tests/data/rxn-repr/xyz/r000029.xyz | 19 +++ tests/data/rxn-repr/xyz/r000030.xyz | 19 +++ tests/data/rxn-repr/xyz/r000031.xyz | 19 +++ tests/data/rxn-repr/xyz/r000032.xyz | 19 +++ tests/data/rxn-repr/xyz/r000033.xyz | 19 +++ tests/test_rxn-repr.py | 68 +++++++++ 88 files changed, 1406 insertions(+), 5 deletions(-) create mode 100644 qstack/qml/b2r2.py create mode 100644 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+import numpy as np +from scipy.special import erf + + +defaults = SimpleNamespace(rcut=3.5, gridspace=0.03) + + +def get_bags(unique_ncharges): + combs = list(itertools.combinations(unique_ncharges, r=2)) + combs = [list(x) for x in combs] + # add self interaction + self_combs = [[x, x] for x in unique_ncharges] + combs += self_combs + return combs + + +def get_mu_sigma(R): + mu = R * 0.5 + sigma = R * 0.125 + return mu, sigma + + +def get_gaussian(x, R): + mu, sigma = get_mu_sigma(R) + X = (x-mu) / (sigma*np.sqrt(2)) + g = np.exp(-X**2) / (np.sqrt(2*np.pi) * sigma) + return g + + +def get_skew_gaussian_l_both(x, R, Z_I, Z_J): + mu, sigma = get_mu_sigma(R) + # a = Z_J * scipy.stats.skewnorm.pdf(x, Z_J, mu, sigma) + # b = Z_I * scipy.stats.skewnorm.pdf(x, Z_I, mu, sigma) + X = (x-mu) / (sigma*np.sqrt(2)) + g = np.exp(-X**2) / (np.sqrt(2*np.pi) * sigma) + e = 1.0 + erf(Z_J * X) + a = Z_J * g * e + if Z_I==Z_J: + return a, a + e = 1.0 + erf(Z_I * X) + b = Z_I * g * e + return a, b + + +def get_skew_gaussian_n_both(x, R, Z_I, Z_J): + mu, sigma = get_mu_sigma(R) + # a = Z_I * scipy.stats.skewnorm.pdf(x, Z_J, mu, sigma) + # b = Z_J * scipy.stats.skewnorm.pdf(x, Z_I, mu, sigma) + X = (x-mu) / (sigma*np.sqrt(2)) + g = np.exp(-X**2) / (np.sqrt(2*np.pi) * sigma) + e = 1.0 + erf(Z_J * X) + a = Z_I * g * e + if Z_I==Z_J: + return 2.0*a + e = 1.0 + erf(Z_I * X) + b = Z_J * g * e + return a + b + + +def get_b2r2_n_molecular(ncharges, coords, elements, + rcut=defaults.rcut, gridspace=defaults.gridspace): + + idx_relevant_atoms = np.where(np.sum(np.array(ncharges)==np.array(elements)[:,None], axis=0)) + ncharges = np.array(ncharges)[idx_relevant_atoms] + coords = np.array(coords)[idx_relevant_atoms] + + grid = np.arange(0, rcut, gridspace) + twobodyrep = np.zeros_like(grid) + + for i, ncharge_a in enumerate(ncharges): + for j, ncharge_b in enumerate(ncharges[:i]): + coords_a = coords[i] + coords_b = coords[j] + R = np.linalg.norm(coords_b - coords_a) + if R < rcut: + twobodyrep += get_skew_gaussian_n_both(grid, R, ncharge_b, ncharge_a) + + return twobodyrep + + +def get_b2r2_a_molecular(ncharges, coords, elements, + rcut=defaults.rcut, gridspace=defaults.gridspace): + + idx_relevant_atoms = np.where(np.sum(np.array(ncharges)==np.array(elements)[:,None], axis=0)) + ncharges = np.array(ncharges)[idx_relevant_atoms] + coords = np.array(coords)[idx_relevant_atoms] + + bags = get_bags(elements) + grid = np.arange(0, rcut, gridspace) + twobodyrep = np.zeros((len(bags), len(grid))) + + bag_idx = {tuple(q1q2): i for i, q1q2 in enumerate(bags)} + bag_idx.update({tuple(q1q2[::-1]): i for i, q1q2 in enumerate(bags)}) + + for i, ncharge_a in enumerate(ncharges): + for j, ncharge_b in enumerate(ncharges[:i]): + coords_a = coords[i] + coords_b = coords[j] + R = np.linalg.norm(coords_b - coords_a) + if R < rcut: + twobodyrep[bag_idx[(ncharge_a, ncharge_b)]] += get_gaussian(grid, R) + + twobodyrep = 2.0*np.concatenate(twobodyrep) + return twobodyrep + + +def get_b2r2_l_molecular(ncharges, coords, elements, + rcut=defaults.rcut, gridspace=defaults.gridspace): + + idx_relevant_atoms = np.where(np.sum(np.array(ncharges)==np.array(elements)[:,None], axis=0)) + ncharges = np.array(ncharges)[idx_relevant_atoms] + coords = np.array(coords)[idx_relevant_atoms] + + bags = np.array(elements) + grid = np.arange(0, rcut, gridspace) + twobodyrep = np.zeros((len(bags), len(grid))) + + bag_idx = {q: i for i,q in enumerate(bags)} + + for i, ncharge_a in enumerate(ncharges): + for j, ncharge_b in enumerate(ncharges[:i]): + coords_a = coords[i] + coords_b = coords[j] + R = np.linalg.norm(coords_b - coords_a) + if R < rcut: + a, b = get_skew_gaussian_l_both(grid, R, ncharge_a, ncharge_b) + twobodyrep[bag_idx[ncharge_a]] += a + twobodyrep[bag_idx[ncharge_b]] += b + + twobodyrep = np.concatenate(twobodyrep) + return twobodyrep + + +def get_b2r2(reactions, variant='l', rcut=defaults.rcut, gridspace=defaults.gridspace): + if variant=='l': + get_b2r2_molecular=get_b2r2_l_molecular + combine = lambda r,p: p-r + elif variant=='a': + get_b2r2_molecular = get_b2r2_a_molecular + combine = lambda r,p: p-r + elif variant=='n': + get_b2r2_molecular=get_b2r2_n_molecular + combine = lambda r,p: np.hstack((r,p)) + else: + raise RuntimeError(f'Unknown B2R2 {variant=}') + return get_b2r2_inner(reactions, rcut=rcut, gridspace=gridspace, + get_b2r2_molecular=get_b2r2_molecular, combine=combine) + + +def get_b2r2_inner(reactions, + progress=False, + rcut=defaults.rcut, gridspace=defaults.gridspace, + get_b2r2_molecular=None, combine=None): + + """ Computes the B2R2 representations for a list of reactions. + + Reference: + P. van Gerwen, A. Fabrizio, M. D. Wodrich, C. Corminboeuf, + "Physics-based representations for machine learning properties of chemical reactions", + Mach. Learn.: Sci. Technol. 3, 045005 (2022), doi:10.1088/2632-2153/ac8f1a. + + Args: + reactions (List[rxn]): a list of rxn objects containing reaction information. + rxn.reactants (List[ase.Atoms]) is a list of reactants (ASE molecules), + rxn.products (List[ase.Atoms]) is a list of products. + rcut (float): cutoff radius (Å) + gridspace (float): grid spacing (Å) + get_b2r2_molecular (func): function to compute the molecular representations, + i.e. one of `get_b2r2_{l,n,a}_molecular` + combine (func(r: ndarray, p: ndarray)): function to combine the reactants and products representations, + e.g. difference or concatenation + Returns: + ndrarray containing the B2R2 representation for each reaction + """ + + qs = [mol.numbers for rxn in reactions for mol in rxn.reactants] + elements = np.unique(np.concatenate(qs)) + + if progress: + import tqdm + reactions = tqdm.tqdm(reactions) + + b2r2_diff = [] + for reaction in reactions: + b2r2_reactants, b2r2_products = [ + sum(get_b2r2_molecular(mol.numbers, mol.positions, + rcut=rcut, + gridspace=gridspace, + elements=elements, + ) for mol in mols) + for mols in (reaction.reactants, reaction.products)] + b2r2_diff.append(combine(b2r2_reactants, b2r2_products)) + + return np.vstack(b2r2_diff) diff --git a/qstack/qml/slatm.py b/qstack/qml/slatm.py index 962d8cd..578590f 100644 --- a/qstack/qml/slatm.py +++ b/qstack/qml/slatm.py @@ -1,6 +1,6 @@ -import numpy as np import itertools from types import SimpleNamespace +import numpy as np defaults = SimpleNamespace(sigma2=0.05, r0=0.1, rcut=4.8, dgrid2=0.03, theta0=20.0*np.pi/180.0, sigma3=0.05, dgrid3=0.03) @@ -184,12 +184,12 @@ def get_slatm_for_dataset(molecules, qml_mbtypes=True, qml_compatible=True, stack_all=True, r0=defaults.r0, rcut=defaults.rcut, sigma2=defaults.sigma2, dgrid2=defaults.dgrid2, theta0=defaults.theta0, sigma3=defaults.sigma3, dgrid3=defaults.dgrid3): - """ Computes (a)SLATM representation for a set of molecules. + """ Computes the (a)SLATM representation for a set of molecules. Reference: - Huang, B., von Lilienfeld, O.A. - Quantum machine learning using atom-in-molecule-based fragments selected on the fly. - Nat. Chem. 12, 945–951 (2020), doi:10.1038/s41557-020-0527-z + B. Huang, O. A. von Lilienfeld, + "Quantum machine learning using atom-in-molecule-based fragments selected on the fly", + Nat. Chem. 12, 945–951 (2020), doi:10.1038/s41557-020-0527-z. Args: molecules (Union(List[ase.Atoms], List[str]): pre-loaded ASE molecules or paths to the xyz files. @@ -238,3 +238,56 @@ def get_slatm_for_dataset(molecules, slatm = np.vstack(slatm) return slatm + + + +def get_slatm_rxn(reactions, progress=False, qml_mbtypes=True, + r0=defaults.r0, rcut=defaults.rcut, sigma2=defaults.sigma2, dgrid2=defaults.dgrid2, + theta0=defaults.theta0, sigma3=defaults.sigma3, dgrid3=defaults.dgrid3): + """ Computes the SLATM_d representation for a list of reactions. + + Reference: + P. van Gerwen, A. Fabrizio, M. D. Wodrich, C. Corminboeuf, + "Physics-based representations for machine learning properties of chemical reactions", + Mach. Learn.: Sci. Technol. 3, 045005 (2022), doi:10.1088/2632-2153/ac8f1a. + + Args: + reactions (List[rxn]): a list of rxn objects containing reaction information. + rxn.reactants (List[ase.Atoms]) is a list of reactants (ASE molecules), + rxn.products (List[ase.Atoms]) is a list of products. + qml_mbtypes (bool): if True, mbtypes order should be identical as from QML (https://www.qmlcode.org/). + if False, the elements are sorted thus mbtype order can differ from QML in some cases + + rcut (float): radial cutoff (Å) for the 2- and 3-body terms + r0 (float): grid range parameter (Å) [r0, rcut] for the 2-body term + sigma2 (float): gaussian width for the 2-body term (Å) + dgrid2 (float): grid spacing for the 2-body term (Å) + theta0 (float): grid range parameter (°) [theta0, 180-theta0] for the 3-body term + sigma3 (float): gaussian width for the 3-body term (°) + dgrid3 (float): grid spacing for the 3-body term (°) + + progress (bool): if print progress bar + + Returns: + ndrarray containing the SLATM_d representation for each reaction + """ + + qs = [mol.numbers for rxn in reactions for mol in rxn.reactants] + mbtypes = get_mbtypes(qs, qml=qml_mbtypes) + + if progress: + import tqdm + reactions = tqdm.tqdm(reactions) + + slatm_diff = [] + for reaction in reactions: + slatm_reactants, slatm_products = [ + sum(get_slatm(mol.numbers, mol.positions, mbtypes, + global_repr=True, stack_all=True, + r0=r0, rcut=rcut, sigma2=sigma2, dgrid2=dgrid2, + theta0=theta0, sigma3=sigma3, dgrid3=dgrid3 + ) for mol in mols) + for mols in (reaction.reactants, reaction.products)] + slatm_diff.append(slatm_products-slatm_reactants) + + return np.vstack(slatm_diff) diff --git a/tests/data/rxn-repr/b2r2_a.npy b/tests/data/rxn-repr/b2r2_a.npy new file mode 100644 index 0000000000000000000000000000000000000000..af35109cfc37e0e96b3c5a1c9758429131e28359 GIT binary patch literal 299648 zcmeF3`8$+f`1r?`J!_H_vbP~ivdsOEq)?KO5Rxs52vM3yNyu7ALP&O!-JHi(cCw@* z`<7H=-}%n>U-aIWy-vbI)1s<#nH^bC>iDF4GV^3BHoH*WIt(mQ)dz 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--git a/tests/data/rxn-repr/xyz/r000030.xyz b/tests/data/rxn-repr/xyz/r000030.xyz new file mode 100644 index 0000000..852c74e --- /dev/null +++ b/tests/data/rxn-repr/xyz/r000030.xyz @@ -0,0 +1,19 @@ +16 + +O -3.461376345 0.178182465 1.581473564 +C -2.011280320 0.377300054 -0.675979072 +C -0.412031916 -1.985798724 -1.113462367 +C 1.744189736 -1.678964989 0.781394685 +C 2.387325501 1.149664682 0.636300077 +C -0.060648511 2.471335789 -0.262976291 +H -4.594504109 -1.226168562 1.413456616 +H -3.266041100 0.789576972 -2.271852614 +H -1.490771813 -3.732207093 -0.882688049 +H 0.319225217 -1.959205912 -3.049056057 +H 3.360606019 -2.890500174 0.370811017 +H 1.067090057 -2.157651079 2.670306678 +H 3.049041222 1.881451543 2.444679974 +H 3.904935487 1.465574110 -0.726581818 +H -0.791844587 3.822163385 1.108959679 +H 0.256085480 3.495247512 -2.024786022 + diff --git a/tests/data/rxn-repr/xyz/r000031.xyz b/tests/data/rxn-repr/xyz/r000031.xyz new file mode 100644 index 0000000..852c74e --- /dev/null +++ b/tests/data/rxn-repr/xyz/r000031.xyz @@ -0,0 +1,19 @@ +16 + +O -3.461376345 0.178182465 1.581473564 +C -2.011280320 0.377300054 -0.675979072 +C -0.412031916 -1.985798724 -1.113462367 +C 1.744189736 -1.678964989 0.781394685 +C 2.387325501 1.149664682 0.636300077 +C -0.060648511 2.471335789 -0.262976291 +H -4.594504109 -1.226168562 1.413456616 +H -3.266041100 0.789576972 -2.271852614 +H -1.490771813 -3.732207093 -0.882688049 +H 0.319225217 -1.959205912 -3.049056057 +H 3.360606019 -2.890500174 0.370811017 +H 1.067090057 -2.157651079 2.670306678 +H 3.049041222 1.881451543 2.444679974 +H 3.904935487 1.465574110 -0.726581818 +H -0.791844587 3.822163385 1.108959679 +H 0.256085480 3.495247512 -2.024786022 + diff --git a/tests/data/rxn-repr/xyz/r000032.xyz b/tests/data/rxn-repr/xyz/r000032.xyz new file mode 100644 index 0000000..852c74e --- /dev/null +++ b/tests/data/rxn-repr/xyz/r000032.xyz @@ -0,0 +1,19 @@ +16 + +O -3.461376345 0.178182465 1.581473564 +C -2.011280320 0.377300054 -0.675979072 +C -0.412031916 -1.985798724 -1.113462367 +C 1.744189736 -1.678964989 0.781394685 +C 2.387325501 1.149664682 0.636300077 +C -0.060648511 2.471335789 -0.262976291 +H -4.594504109 -1.226168562 1.413456616 +H -3.266041100 0.789576972 -2.271852614 +H -1.490771813 -3.732207093 -0.882688049 +H 0.319225217 -1.959205912 -3.049056057 +H 3.360606019 -2.890500174 0.370811017 +H 1.067090057 -2.157651079 2.670306678 +H 3.049041222 1.881451543 2.444679974 +H 3.904935487 1.465574110 -0.726581818 +H -0.791844587 3.822163385 1.108959679 +H 0.256085480 3.495247512 -2.024786022 + diff --git a/tests/data/rxn-repr/xyz/r000033.xyz b/tests/data/rxn-repr/xyz/r000033.xyz new file mode 100644 index 0000000..852c74e --- /dev/null +++ b/tests/data/rxn-repr/xyz/r000033.xyz @@ -0,0 +1,19 @@ +16 + +O -3.461376345 0.178182465 1.581473564 +C -2.011280320 0.377300054 -0.675979072 +C -0.412031916 -1.985798724 -1.113462367 +C 1.744189736 -1.678964989 0.781394685 +C 2.387325501 1.149664682 0.636300077 +C -0.060648511 2.471335789 -0.262976291 +H -4.594504109 -1.226168562 1.413456616 +H -3.266041100 0.789576972 -2.271852614 +H -1.490771813 -3.732207093 -0.882688049 +H 0.319225217 -1.959205912 -3.049056057 +H 3.360606019 -2.890500174 0.370811017 +H 1.067090057 -2.157651079 2.670306678 +H 3.049041222 1.881451543 2.444679974 +H 3.904935487 1.465574110 -0.726581818 +H -0.791844587 3.822163385 1.108959679 +H 0.256085480 3.495247512 -2.024786022 + diff --git a/tests/test_rxn-repr.py b/tests/test_rxn-repr.py new file mode 100755 index 0000000..21f15b3 --- /dev/null +++ b/tests/test_rxn-repr.py @@ -0,0 +1,68 @@ +import os +import glob +from types import SimpleNamespace +import numpy as np +import ase.io +from qstack.qml.slatm import get_slatm_rxn +from qstack.qml.b2r2 import get_b2r2 + + +class Rxn_data: + def __init__(self, data_dir='.'): + def get_gdb_xyz_files(idx): + r = [f'{data_dir}/xyz/r{idx:06}.xyz'] + p = sorted(glob.glob(f'{data_dir}/xyz/p{idx:06}*.xyz')) + return r, p + self.get_gdb7_data = self.get_data_template(idx_path=f'{data_dir}/idx.dat', + input_bohr=True, + get_xyz_files=get_gdb_xyz_files) + + def get_data_template(self, idx_path, input_bohr=False, get_xyz_files=None): + def read_mols(files): + sub_mols = [] + for f in files: + mol = ase.io.read(f) + if input_bohr: + mol.set_positions(mol.positions*ase.units.Bohr) + sub_mols.append(mol) + return sub_mols + def get_data(): + indices = np.loadtxt(idx_path, dtype=int) + reactions = [] + for idx in indices: + rfiles, pfiles = get_xyz_files(idx) + reactions.append(SimpleNamespace(reactants=read_mols(rfiles), + products=read_mols(pfiles))) + return reactions + return get_data + + +def test_b2r2_l(): + _test_b2r2('l') +def test_b2r2_a(): + _test_b2r2('a') +def test_b2r2_n(): + _test_b2r2('n') + + +def _test_b2r2(variant): + data_dir = f'{os.path.dirname(os.path.realpath(__file__))}/data/rxn-repr' + reactions = Rxn_data(data_dir=data_dir).get_gdb7_data() + b2r2 = get_b2r2(reactions, variant=variant) + b2r2_0 = np.load(f'{data_dir}/b2r2_{variant}.npy') + assert(np.linalg.norm(b2r2-b2r2_0) < 1e-10) + + +def test_slatm_rxn(): + data_dir = f'{os.path.dirname(os.path.realpath(__file__))}/data/rxn-repr' + reactions = Rxn_data(data_dir=data_dir).get_gdb7_data() + slatm = get_slatm_rxn(reactions, qml_mbtypes=True, progress=False) + slatm_0 = np.load(f'{data_dir}/slatm_d.npy') + assert(np.linalg.norm(slatm-slatm_0) < 1e-10) + + +if __name__ == '__main__': + test_slatm_rxn() + test_b2r2_l() + test_b2r2_a() + test_b2r2_n()

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