--rskip=<A>, -r <A> The radius of the core to skip
--Lx=<Lx> The spatial extent in the x-direction
--Ly=<Ly> The spatial extent in the y-direction
-h --help Show this screen.
"""
import pylab as pl
import pimchelp
from docopt import docopt
import loadgmt, kevent
import itertools
#cmap = loadgmt.getcmap('dca','alarm.p1.0.1')
#cmap = loadgmt.getcmap('cb/div','Spectral_11')
#cmap = loadgmt.getcmap('cb/div','RdGy_11')
cmap = loadgmt.getcmap('gist', 'earth')
cmap = loadgmt.getcmap('ncl', 'precip3_16lev')
#cmap = loadgmt.getcmap('ncl','temp_diff_18lev')
# ===================================================================
def main():
# Read in the command line arguments
args = docopt(__doc__)
fileName = args['<input-file>']
rskip = args['--rskip'] and float(args['--rskip'])
# Open up the matrix file, and determine the size of the matrix
def main():
np.random.seed(111)
scene = []
povName = "area_law.pov"
pov_file = File(povName,"colors.inc","textures.inc")
# pov_file.writeln("default { finish { ambient 0 }}\n")
cam = Camera(location=(-0,-0,-20),look_at=(0,0,0))
# bg = Background(color="rgb <1,1,1>",transmit=1.0)
scene.append(cam)
# scene.append(bg)
light = LightSource((-10,-10,-500), color="rgb 1 shadowless")
scene.append(light)
light = LightSource((0,0,0), color="rgb 1")
scene.append(light)
#light = LightSource( (0,25,0), color="White")
cmap = loadgmt.getcmap('cb/div','RdBu_04',reverse=True)
colors=cmap(np.linspace(0,1,4))
blue = hex_to_rgb('4173b3')
# blue = tuple(colors[0,:3])
red = tuple(colors[-1,:3])
white = (1.0,1.0,1.0)
# col_blue = Texture(Finish(phong=1.0),Pigment(color=white))
col_white = Texture(Finish('reflection { .6, metallic}',ambient=0.2,diffuse=0.4,specular=0.75,roughness=.001),Pigment(color=blue))
col_blue = Texture(Finish('reflection { .6, metallic}',ambient=0.2,diffuse=0.4,specular=0.75,roughness=.001),Pigment(color=blue))
col_red = Texture(Finish('reflection { .6, metallic}',ambient=0.2,diffuse=0.4,specular=0.75,roughness=.001),Pigment(color=red))
R = 6.0
L = 20
rad = 0.15
dR = 0.8
delta = 0.4
max_r = 0.99*np.sqrt(3.0)*0.5*L
spheres = []
r_blobs = []
for i in range(L+1):
for j in range(L+1):
for k in range(L+1):
x = -0.5*L + 1.0*i + delta*(-1.0 + 2.0*np.random.random())
y = -0.5*L + 1.0*j + delta*(-1.0 + 2.0*np.random.random())
z = -0.5*L + 1.0*k + delta*(-1.0 + 2.0*np.random.random())
v = np.array([x,y,z])
r = np.sqrt(x*x + y*y + z*z)
# make sure we don't overlap the boundary
while R-rad < r < R:
v -= 10E-3*v
r = np.linalg.norm(v)
while R < r < R+rad:
v += 10E-3*v
r = np.linalg.norm(v)
if r >= R and r < max_r:
scene.append(Sphere(list(v),rad,col_white))
elif r < R:
scene.append(Sphere(list(v),rad,col_blue))
r_blobs.append(list(v))
sweeps = ""
for v1 in r_blobs:
r1 = np.linalg.norm(v1)
for v2 in r_blobs:
r2 = np.linalg.norm(v2)
if (R-dR <= r1 <= R) and (R <= r2 <= R+dR):
sep = np.array(v2)-np.array(v1)
rsep = np.linalg.norm(sep)
if rsep < 2*dR:
sweeps += sweep(v1,v2,10,0.8*rad)
# add a spatial bipartition sphere
bond_color = hex_to_rgb('#6bff2b')
# s = Sphere([0,0,0],R,Texture(Pigment(color=blue,transmit=0.70)))
s = Sphere([0,0,0],R,Texture("Green_Glass"))
scene.append(s)
for s in scene:
s.write(pov_file)
pov_file.writeln(sweeps)
pov_file.close()
low_res = ["-p"]
width = 6000
height = int(3*width/4.0)
high_res = ["-p","+H%d"%height,"+W%d"%width,"+Q11","+UA"]
# render the povray files
# subprocess.call(["povray"] + low_res+ [povName])
subprocess.call(["povray"] + high_res + [povName])
--Lx=<Lx> The spatial extent in the x-direction
--Ly=<Ly> The spatial extent in the y-direction
-h --help Show this screen.
"""
import pylab as pl
import pimchelp
from docopt import docopt
import loadgmt,kevent
import itertools
#cmap = loadgmt.getcmap('dca','alarm.p1.0.1')
#cmap = loadgmt.getcmap('cb/div','Spectral_11')
#cmap = loadgmt.getcmap('cb/div','RdGy_11')
cmap = loadgmt.getcmap('gist','earth')
cmap = loadgmt.getcmap('ncl','precip3_16lev')
#cmap = loadgmt.getcmap('ncl','temp_diff_18lev')
# ===================================================================
def main():
# Read in the command line arguments
args = docopt(__doc__)
fileName = args['<input-file>']
rskip = args['--rskip'] and float(args['--rskip'])
# Open up the matrix file, and determine the size of the matrix
data = pl.loadtxt(fileName,ndmin=2)
N = int(pl.sqrt(data.shape[0]))
def main():
np.random.seed(112)
scene = []
povName = "reduction.pov"
L = 10
pov_file = File(povName,"colors.inc","textures.inc")
cam = Camera(location=(3.0*L,-0.5*L,-45),look_at=(0,-1.0*L,0))
bg = Background(color="rgbt <1,1,1,1>")
scene.append(cam)
scene.append(bg)
light = LightSource((-10,-10,-500), color="rgb 1 shadowless")
scene.append(light)
# light = LightSource((0,0,0), color="rgb 1")
# scene.append(light)
#light = LightSource( (0,25,0), color="White")
cmap = loadgmt.getcmap('cb/div','RdBu_04',reverse=True)
colors=cmap(np.linspace(0,1,4))
blue = hex_to_rgb('4173b3')
white = (1.0,1.0,1.0)
red = hex_to_rgb('971746')
# col_blue = Texture(Finish(phong=1.0),Pigment(color=white))
#col_blue = Texture(Finish('reflection { .6, metallic}',ambient=0.2,diffuse=0.4,specular=0.75,roughness=.001),Pigment(color=blue))
col_blue = Texture(Finish(ambient=0.2, diffuse=0.6, phong=0.75,phong_size=25),Pigment(color=blue))
col_white = Texture(Finish(ambient=0.2, diffuse=0.6, phong=0.75,phong_size=25),Pigment(color='White'))
col_red = Texture(Finish(ambient=0.2, diffuse=0.6, phong=0.75,phong_size=25),Pigment(color=red))
# col_white = Texture(Finish('reflection { .6, metallic}',ambient=0.2,diffuse=0.4,specular=0.75,roughness=.001),Pigment(color='White'))
# col_red = Texture(Finish('reflection { .6, metallic}',ambient=0.2,diffuse=0.4,specular=0.75,roughness=.001),Pigment(color=red))
col_gray = Texture(Pigment(color='Gray'))
rad = 0.15
δ = 0.4
max_r = 0.99*np.sqrt(3.0)*0.5*L
R = 0.05
L *= 1.1
v1 = Vector(-L/2,-L/2,L/2)
v2 = Vector(L/2,-L/2,L/2)
tube = [Cylinder(v1,v2,R,col_gray)]
v1 = Vector(-L/2,L/2,L/2)
v2 = Vector(L/2,L/2,L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(L/2,-L/2,L/2)
v2 = Vector(L/2,L/2,L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(-L/2,-L/2,L/2)
v2 = Vector(-L/2,L/2,L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(-L/2,-L/2,-L/2)
v2 = Vector(L/2,-L/2,-L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(-L/2,L/2,-L/2)
v2 = Vector(L/2,L/2,-L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(L/2,-L/2,-L/2)
v2 = Vector(L/2,L/2,-L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(-L/2,-L/2,-L/2)
v2 = Vector(-L/2,L/2,-L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(L/2,L/2,-L/2)
v2 = Vector(L/2,L/2,L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(-L/2,-L/2,-L/2)
v2 = Vector(-L/2,-L/2,L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(-L/2,L/2,-L/2)
v2 = Vector(-L/2,L/2,L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(L/2,-L/2,-L/2)
v2 = Vector(L/2,-L/2,L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
# 2D
y = -1.25*10
v1 = Vector(-L/2,y,L/2)
v2 = Vector(L/2,y,L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(-L/2,y,-L/2)
v2 = Vector(L/2,y,-L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(L/2,y,-L/2)
v2 = Vector(L/2,y,L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
v1 = Vector(-L/2,y,-L/2)
v2 = Vector(-L/2,y,L/2)
tube.append(Cylinder(v1,v2,R,col_gray))
box = Union(*tube)
scene.append(box)
L /= 1.1
# 3 dimensions
spheres = []
r_blobs = []
for i in np.arange(L+1):
for j in np.arange(L+1):
for k in np.arange(L+1):
x = -0.5*L + 1.0*i + δ*(-1.0 + 2.0*np.random.random())
y = -0.5*L + 1.0*j + δ*(-1.0 + 2.0*np.random.random())
z = -0.5*L + 1.0*k + δ*(-1.0 + 2.0*np.random.random())
v = np.array([x,y,z])
r = np.sqrt(x*x + y*y + z*z)
if r < max_r:
scene.append(Sphere(list(v),rad,col_blue))
r_blobs.append(list(v))
sweeps = ""
# for v1 in r_blobs:
# r1 = np.linalg.norm(v1)
# for v2 in r_blobs:
# r2 = np.linalg.norm(v2)
# sep = np.array(v2)-np.array(v1)
# rsep = np.linalg.norm(sep)
# if rsep < 2:
# sweeps += sweep(v1,v2,10,0.8*rad)
# 2 dimensions
spheres = []
r_blobs = []
for i in np.arange(L+1):
for k in np.arange(L+1):
x = -0.5*L + 1.0*i + δ*(-1.0 + 2.0*np.random.random())
y = -1.25*L
z = -0.5*L + 1.0*k + δ*(-1.0 + 2.0*np.random.random())
v = np.array([x,y,z])
r = np.sqrt(x*x + y*y + z*z)
scene.append(Sphere(list(v),rad,col_white))
r_blobs.append(list(v))
# for v1 in r_blobs:
# r1 = np.linalg.norm(v1)
# for v2 in r_blobs:
# r2 = np.linalg.norm(v2)
# sep = np.array(v2)-np.array(v1)
# rsep = np.linalg.norm(sep)
# if rsep < 2:
# sweeps += sweep(v1,v2,10,0.8*rad)
# 1 dimensions
spheres = []
r_blobs = []
for i in np.arange(L+1):
x = -0.5*L + 1.0*i + δ*(-1.0 + 2.0*np.random.random())
y = -2.0*L
z = 0.0 #-0.5*L + 1.0*i + δ*(-1.0 + 2.0*np.random.random())
v = np.array([x,y,z])
r = np.sqrt(x*x + y*y + z*z)
scene.append(Sphere(list(v),rad,col_red))
r_blobs.append(list(v))
for s in scene:
s.write(pov_file)
pov_file.writeln(sweeps)
pov_file.close()
low_res = ["-p"]
width = 5000
height = int(3*width/4.0)
high_res = ["-p","+H%d"%height,"+W%d"%width,"+Q11","+UA"]
# render the povray files
# subprocess.call(["povray"] + low_res+ [povName])
subprocess.call(["povray"] + high_res + [povName])
# Author: Max Graves
# Adrian Del Maestro
# Date: 8-NOV-2012
# ===================================================================
import pylab as pl
import argparse
import pimchelp
from docopt import docopt
import loadgmt,kevent
import itertools
#cmap = loadgmt.getcmap('dca','alarm.p1.0.1')
#cmap = loadgmt.getcmap('cb/div','Spectral_11')
#cmap = loadgmt.getcmap('cb/div','RdGy_11')
cmap = loadgmt.getcmap('gist','earth')
cmap = loadgmt.getcmap('ncl','precip3_16lev')
cmap = loadgmt.getcmap('ncl','temp_diff_18lev')
# ===================================================================
def main():
# Read in the command line arguments
args = docopt(__doc__)
fileName = args['<input-file>']
estName = args['--estimator']
# Open up the tensor file, and determine the number of grid boxes in each
# dimension and the column headers
with open(fileName,'r') as inFile:
N = int(inFile.readline().split()[1])