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-rw-r--r--sambal/sambal.py18
1 files changed, 9 insertions, 9 deletions
diff --git a/sambal/sambal.py b/sambal/sambal.py
index f4d64f4..836d0b6 100644
--- a/sambal/sambal.py
+++ b/sambal/sambal.py
@@ -17,12 +17,12 @@
# <https://www.gnu.org/licenses/>.
from numpy import cos, dot, empty, log, sin, sqrt, pi
-from numpy.random import randn, random
+from numpy.random import default_rng
from numpy.linalg import norm
-def random_on_sphere(dim):
+def random_on_sphere(dim, rng=default_rng()):
"""Return a random vector uniformly distributed on the unit sphere."""
- x = randn(dim)
+ x = rng.standard_normal(dim)
return x / norm(x)
def rotate_from_nth_canonical(x, axis):
@@ -40,18 +40,18 @@ def rotate_from_nth_canonical(x, axis):
- axisn*(xn*s + a*(axisn - 1))/b
return x
-def random_on_disk(axis, planar_angle):
+def random_on_disk(axis, planar_angle, rng=default_rng()):
"""Return a random vector uniformly distributed on the periphery of a
disk.
"""
dim = axis.size
x = empty(dim)
- x[:-1] = sin(planar_angle) * random_on_sphere(dim - 1)
+ x[:-1] = sin(planar_angle) * random_on_sphere(dim - 1, rng)
x[-1] = cos(planar_angle)
return rotate_from_nth_canonical(x, axis)
-def random_on_cap(axis, maximum_planar_angle):
+def random_on_cap(axis, maximum_planar_angle, rng=default_rng()):
"""Return a random vector uniformly distributed on a spherical
cap. The random planar angle is generated using rejection sampling.
@@ -61,8 +61,8 @@ cap. The random planar angle is generated using rejection sampling.
dim = axis.size
box_height = (dim-2)*log(sin(min(maximum_planar_angle, pi/2)))
while True:
- theta = maximum_planar_angle*random()
- f = box_height + log(random())
+ theta = maximum_planar_angle*rng.random()
+ f = box_height + log(rng.random())
if f < (dim-2)*log(sin(theta)):
break
- return random_on_disk(axis, theta)
+ return random_on_disk(axis, theta, rng)