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authorAnthony LaTorre <telatorre@gmail.com>2011-06-12 21:31:22 -0400
committerAnthony LaTorre <telatorre@gmail.com>2011-06-12 21:31:22 -0400
commit870236b3c4950762a73247c68023a8dee6e14a7b (patch)
treea9b634e0ef43f17c00e725972240d48673a708b6 /photon.py
parente06a8b551c730e3d1111fc571c5d48edb85f70ce (diff)
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added some fun models; added some untested code to implement absorption, scattering, reflection, and refraction
Diffstat (limited to 'photon.py')
-rw-r--r--photon.py29
1 files changed, 0 insertions, 29 deletions
diff --git a/photon.py b/photon.py
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--- a/photon.py
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-import numpy as np
-
-def uniform_sphere(size=None, dtype=np.double):
- """
- Generate random points isotropically distributed across the unit sphere.
-
- Args:
- - size: int, *optional*
- Number of points to generate. If no size is specified, a single
- point is returned.
-
- Source: Weisstein, Eric W. "Sphere Point Picking." Mathworld.
- """
-
- theta, u = np.random.uniform(0.0, 2*np.pi, size), \
- np.random.uniform(-1.0, 1.0, size)
-
- c = np.sqrt(1-u**2)
-
- if size is None:
- return np.array([c*np.cos(theta), c*np.sin(theta), u])
-
- points = np.empty((size, 3), dtype)
-
- points[:,0] = c*np.cos(theta)
- points[:,1] = c*np.sin(theta)
- points[:,2] = u
-
- return points