Hi,
I am doing a little test using numpy and numexpr to do a particle simulation. I
never used either of them much and this is the first time I have to go deeper.
Here is the code:
import numpy as np
import numexpr as nexpr
class Particle( object ):
def __init__( self, id ):
self.position = [0.0, 0.0, 0.0]
self.color = [0.5, 0.5, 0.5]
self.direction = [0.0, 0.0, 0.0]
self..id = id
self.lifeSpan = 0
self.type = 0
class Emitter( object ):
def __init__( self ):
self.particles = np.empty([], dtype=Particle())
self.currentParticleId = 0
self.numParticles = 1000
self.emissionRate = 10
self.position = [0.0, 0.0, 0.0]
self.rotation = [0.0, 0.0, 0.0]
# Add a single particle
def addParticle( self ):
"""
Add a single particle in the emitter.
"""
if self.currentParticleId < self.numParticles:
self.particles = np.append( self.particles, Particle(
self..currentParticleId ) )
self.currentParticleId+=1
#######################################################
Problem 1:
self.particles = np.empty([], dtype=Particle())
In "Emitter" class, how do I initialize a numpy array of "Particle" type?
Problem 2:
If problem 1 can be solved, is it possible to use numexpr to alter the position
of each particle's position
in emitter.particles array. For example, multiply x,y and z of each particle by
using three random values. In other words
self.particles[0].position*= random(1.0)
self.particles[1].position*= random(2.0)
self.particles[2].position*= random(3.0)
If problem 1 cannot be solved then may be I could use something like this using
simple list:
a = [Particle(0), Particle(1)]
How do I modify the position of each particle in array"a" using numexpr?
I would be using 1-5 million particles where each particle's attribute postion,
rotation and color will be modified using some complex
equations. The above code is just the begining hence any tips for performance
would be greatly apperciated.
Regards
Prashant
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