Update with black formatted code.
philippeitis authored on 16/12/2019 08:33:45 • Joseph Weston committed on 05/05/2020 19:10:25... | ... |
@@ -4,7 +4,21 @@ from itertools import chain, combinations |
4 | 4 |
from math import factorial |
5 | 5 |
import scipy.spatial |
6 | 6 |
|
7 |
-from numpy import square, zeros, subtract, array, ones, dot, asarray, concatenate, average, eye, mean, abs, sqrt |
|
7 |
+from numpy import ( |
|
8 |
+ square, |
|
9 |
+ zeros, |
|
10 |
+ subtract, |
|
11 |
+ array, |
|
12 |
+ ones, |
|
13 |
+ dot, |
|
14 |
+ asarray, |
|
15 |
+ concatenate, |
|
16 |
+ average, |
|
17 |
+ eye, |
|
18 |
+ mean, |
|
19 |
+ abs, |
|
20 |
+ sqrt, |
|
21 |
+) |
|
8 | 22 |
from numpy import sum as nsum |
9 | 23 |
from numpy.linalg import det as ndet |
10 | 24 |
from numpy.linalg import slogdet, solve, matrix_rank, norm |
... | ... |
@@ -12,13 +26,13 @@ from numpy.linalg import slogdet, solve, matrix_rank, norm |
12 | 26 |
|
13 | 27 |
def fast_norm(v): |
14 | 28 |
""" Manually take the vector norm for len 2, 3 vectors. Defaults to a square root of the dot product |
15 |
- for larger vectors. |
|
16 |
- |
|
17 |
- Note that for large vectors, it is possible for integer overflow to occur. |
|
29 |
+ for larger vectors. |
|
30 |
+ |
|
31 |
+ Note that for large vectors, it is possible for integer overflow to occur. |
|
18 | 32 |
For instance: |
19 | 33 |
vec = [49024, 59454, 12599, -63721, 18517, 27961] |
20 | 34 |
dot(vec, vec) = -1602973744 |
21 |
- |
|
35 |
+ |
|
22 | 36 |
""" |
23 | 37 |
len_v = len(v) |
24 | 38 |
# notice this method can be even more optimised |