summaryrefslogtreecommitdiff
path: root/ml_exp/representations.py
diff options
context:
space:
mode:
authorDavid Luevano Alvarado <55825613+luevano@users.noreply.github.com>2020-02-29 11:45:17 -0700
committerDavid Luevano Alvarado <55825613+luevano@users.noreply.github.com>2020-02-29 11:45:17 -0700
commit53c84552df5c7a7e1f084b0aec8eac63f7813e52 (patch)
tree3f656bb9b76e8a4abb2ceeda8adac1c6b59139c7 /ml_exp/representations.py
parent9e90b73721edf370f7be9c77aba8431bbe762bdb (diff)
Change dtypes to np dtypes
Diffstat (limited to 'ml_exp/representations.py')
-rw-r--r--ml_exp/representations.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/ml_exp/representations.py b/ml_exp/representations.py
index 5e99627df..31259c79c 100644
--- a/ml_exp/representations.py
+++ b/ml_exp/representations.py
@@ -53,7 +53,7 @@ size. Arrays are not of the right shape.')
'instead of (size).')
size = n
- cm = np.zeros((size, size), dtype=float)
+ cm = np.zeros((size, size), dtype=np.float64)
# Actual calculation of the coulomb matrix.
for i, xyz_i in enumerate(coords):
@@ -120,7 +120,7 @@ size. Arrays are not of the right shape.')
'instead of (size).')
size = n
- lj = np.zeros((size, size), dtype=float)
+ lj = np.zeros((size, size), dtype=np.float64)
# Actual calculation of the lennard-jones matrix.
for i, xyz_i in enumerate(coords):
@@ -259,7 +259,7 @@ def adjacency_matrix(fnm,
instead of (size).')
size = n
- am = np.zeros((size, size), dtype=float)
+ am = np.zeros((size, size), dtype=np.float64)
for i, bond_i in enumerate(bonds):
for j, bond_j in enumerate(bonds):
@@ -317,7 +317,7 @@ generated as the vector of eigenvalues, try (re-)generating the CM.')
size = n
# Bond max length, calculated using only the upper triangular matrix.
- bond_size = int((size * size - size)/2 + size)
+ bond_size = np.int32((size * size - size)/2 + size)
# List where each bag data is stored.
bags = []
@@ -350,7 +350,7 @@ generated as the vector of eigenvalues, try (re-)generating the CM.')
bonds = atom_list + bonds
# Create the final vector for the bob.
- bob = np.zeros(bond_size, dtype=float)
+ bob = np.zeros(bond_size, dtype=np.float64)
c_i = 0
for i, bond in enumerate(bonds):
checker = check_bond(bags, bond)