def test_range():
#q = "index:3159,depth:1"
q = "range:3158:3160"
if q is not None:
os.environ['OPTICKS_QUERY'] = q
pass
args = opticks_main()
sc = gdml2gltf_main(args)
nd = sc.get_node(3159)
tx = sc.get_transform(3159)
print nd.mesh.csg.txt
print to_pyline(nd.gtr_mdot_r, "gtr")
print tx
::
ipython -i OInterpolationTest_identity.py
"""
import os, numpy as np
from opticks.ana.base import opticks_main
from opticks.ana.proplib import PropLib
if __name__ == '__main__':
args = opticks_main()
base = "$TMP/interpolationTest"
blib = PropLib.load_GBndLib(base)
names = blib.names
t = blib.data # boundary texture data
ext, nl = "identity", 39
#oname = "OInterpolationTest_%s.npy" % ext
oname = "interpolationTest_%s.npy" % ext
cname = "CInterpolationTest_%s.npy" % ext
o = np.load(os.path.expandvars(os.path.join(base,oname))).reshape(-1,4,2,nl,4)
#
"""
tdefault.py
=============================================
Loads test events from Opticks and Geant4 and
created by OKG4Test and
compares their bounce histories.
"""
import os, sys, logging, argparse, numpy as np
log = logging.getLogger(__name__)
from opticks.ana.base import opticks_main
from opticks.ana.nbase import vnorm
from opticks.ana.evt import Evt
from opticks.ana.cf import CF
if __name__ == '__main__':
np.set_printoptions(precision=4, linewidth=200)
args = opticks_main(doc=__doc__, tag="1", src="torch", det="default", c2max=2.0, tagoffset=0, dbgseqhis=0)
log.info("tag %s src %s det %s c2max %s " % (args.utag,args.src,args.det, args.c2max))
cf = CF(tag=args.tag, src=args.src, det=args.det)
else:
dirpol(ab, fr, fr + 1)
poldot(ab, fr)
pass
elif len(pfxseqmat) > 0:
log.info(" pfxseqmat [%s] " % (pfxseqmat))
ab.flv = "seqmat"
ab.sel = pfxseqmat
else:
pass
if __name__ == '__main__':
ok = opticks_main(doc=__doc__,
tag="1",
src="torch",
det="concentric",
smry=True)
print "ok.smry %d " % ok.smry
log.info(ok.brief)
ab = AB(ok)
print ab
if not ok.ipython:
log.info("early exit as non-interactive")
sys.exit(0)
debug_plotting(ok, ab)
::
ox.py --det PmtInBox --tag 10 --src torch
ox.py --det dayabay --tag 1 --src torch
ox.py --det tboolean-torus --tag 1 --src torch
Jump into interactive::
ipython -i $(which ox.py) -- --det PmtInBox --tag 10 --src torch
"""
import logging, sys
log = logging.getLogger(__name__)
from opticks.ana.base import opticks_main
from opticks.ana.nload import A
if __name__ == '__main__':
args = opticks_main(src="torch", tag="10", det="PmtInBox")
try:
ox = A.load_("ox", args.src, args.tag, args.det)
except IOError as err:
log.fatal(err)
sys.exit(args.mrc)
log.info("loaded ox %s %s shape %s " % (ox.path, ox.stamp, repr(ox.shape)))
print ox
R = self.rval(U)
X = R*np.cos(V)
Y = R*np.sin(V)
Z = U
ax.plot_surface(X, Y, Z, alpha=0.3, color='red', rstride=6, cstride=12)
if __name__ == '__main__':
args = opticks_main(csgpath="$TMP/cubic_py")
CSG.boundary = args.testobject
CSG.kwa = dict(poly="IM", resolution="50")
container = CSG("box", param=[0,0,0,200], boundary=args.container, poly="MC", nx="20" )
cubic = Cubic(A=1, B=10, C=100, D=400, z1=-10, z2=10)
log.info("cubic:%r " % cubic )
a = cubic.as_csg()
#zrrs = [[-100,30],[-50,80],[50,30],[100,100]]
#a = CSG.MakeCubicBezier(zrrs)
CSG.Serialize([container, a], args.csgpath )
"""
import os, logging
import numpy as np
import matplotlib.pyplot as plt
from opticks.ana.base import opticks_main
from opticks.ana.nload import A, I, II, path_
log = logging.getLogger(__name__)
X, Y, Z, W, T = 0, 1, 2, 3, 3
if __name__ == '__main__':
args = opticks_main(det="juno", src="cerenkov", tag="1")
try:
a = A.load_("gensteps", args.src, args.tag, args.det)
except IOError as err:
log.fatal(err)
sys.exit(args.mrc)
log.info("loaded gensteps %s %s %s " % (a.path, a.stamp, repr(a.shape)))
#path = os.path.expandvars("$LOCAL_BASE/opticks/opticksdata/gensteps/dayabay/cerenkov/1.npy")
#path = os.path.expandvars("$LOCAL_BASE/opticks/opticksdata/gensteps/juno/cerenkov/1.npy")
#a = np.load(path)
xyzt = a[:, 1]
#print xyzt
a = np.load(self.xpath)
self.buf = a.view(Buf)
for att in self.atts:
path = self.txtpath(att)
if os.path.exists(path):
setattr(self.buf, att, splitlines_(path))
else:
log.warning("no such path %s " % path)
path = self.gcsgpath()
if os.path.exists(path):
self.gcsgbuf = np.load(path)
else:
log.warning("no such path %s " % path)
def dump(self):
print "buf %s " % repr(self.buf.shape)
print "gcsgbuf %s " % repr(self.gcsgbuf.shape)
for att in self.atts:
tls = getattr(self.buf, att)
print att, len(tls), " ".join(tls)
if __name__ == '__main__':
args = opticks_main(apmtpath="$TMP/GPmt/0/GPmt.npy")
p = GPmt(args.apmtpath)
p.load()
p.dump()
In [14]: evt.rpost_(slice(0,5)).shape
Out[14]: (500000, 5, 4)
"""
import os, sys, logging, numpy as np
log = logging.getLogger(__name__)
from opticks.ana.base import opticks_main
from opticks.ana.evt import Evt
if __name__ == '__main__':
args = opticks_main(tag="1",
src="natural",
det="g4live",
pfx="OKG4Test",
doc=__doc__)
np.set_printoptions(suppress=True, precision=3)
print("pfx:%s" % args.pfx)
a = Evt(tag=args.tag,
src=args.src,
det=args.det,
pfx=args.pfx,
seqs=[],
args=args)
print("a")
print(a)
def scattering_length(self, wavelength):
return self.lookup(PropLib.M_SCATTERING_LENGTH, wavelength)
def reemission_prob(self, wavelength):
return self.lookup(PropLib.M_REEMISSION_PROB, wavelength)
if __name__ == '__main__':
logging.basicConfig(level=logging.INFO)
#dmat = "GdDopedLS"
dmat = "Water"
args = opticks_main(mat=dmat)
log.info("mat %s " % args.mat)
import matplotlib.pyplot as plt
plt.ion()
mat = Material(args.mat)
#wl = np.linspace(100.,730.,10)
wl = np.linspace(300., 600., 31)
ri = mat.refractive_index(wl)
al = mat.absorption_length(wl)
_save : 3.9000002288958058e-05
configureStepping : 4.7999998059822246e-05
propagate : 4.2877840000001015
_propagate : 4.6000001020729542e-05
initialize : 0.008572999999159947
configurePhysics : 0.072821000001567882
postinitialize : 0.00013499999840860255
configureDetector : 0.3900549999998475
"""
import os, logging, numpy as np
log = logging.getLogger(__name__)
from opticks.ana.base import opticks_main
from opticks.ana.nload import tagdir_
from opticks.ana.metadata import Metadata
if __name__ == '__main__':
args = opticks_main(tag="10",src="torch", det="PmtInBox", doc=__doc__)
np.set_printoptions(suppress=True, precision=3)
mdir = tagdir_(args.det, args.src, args.tag)
md = Metadata(mdir)
log.info("loaded metadata from %s : %s " % (mdir, repr(md)))
md.dump()
127 3322311323443231 60 0 60.00 0.000 +- 0.000 0.000 +- 0.000 [16] Gd Ac LS Ac MO MO Ac LS Ac Gd Gd Ac LS LS Ac Ac
129 3332332332332231 56 4 45.07 14.000 +- 1.871 0.071 +- 0.036 [16] Gd Ac LS LS Ac Ac LS Ac Ac LS Ac Ac LS Ac Ac Ac
135 2231111323443231 51 6 35.53 8.500 +- 1.190 0.118 +- 0.048 [16] Gd Ac LS Ac MO MO Ac LS Ac Gd Gd Gd Gd Ac LS LS
. 1000000 1000000 2325.00/233 = 9.98
"""
import os, sys, logging, numpy as np
log = logging.getLogger(__name__)
from opticks.ana.base import opticks_main
from opticks.ana.evt import Evt
from opticks.ana.nbase import count_unique_sorted
if __name__ == '__main__':
ok = opticks_main(det="concentric", src="torch", tag="1")
#seq = "Gd Ac LS Ac MO MO MO"
#seq = "TO BT BT BT BT DR AB"
#seq = "TO BT BT BT BT SC AB"
#seq = "Gd Ac LS Ac MO MO Ac LS Ac Gd Ac LS Ac MO MO MO"
seq = "Gd Gd Gd Ac LS Ac MO MO Ac LS Ac Gd Ac LS Ac Ac"
a = Evt(tag="%s" % ok.utag, src=ok.src, det=ok.det, args=ok, seqs=[seq])
b = Evt(tag="-%s" % ok.utag, src=ok.src, det=ok.det, args=ok, seqs=[seq])
a.history_table(slice(0, 20))
b.history_table(slice(0, 20))
acu = count_unique_sorted(a.seqhis[a.psel])
bcu = count_unique_sorted(b.seqhis[b.psel])
rp.plot(ax, log_=False)
ax = fig.add_subplot(122)
rp.plot(ax, log_=True)
fig.show()
def attic():
transform = "0.500,0.866,0.000,0.000,-0.866,0.500,0.000,0.000,0.000,0.000,1.000,0.000,-86.603,0.000,0.000,1.000"
tx = np.fromstring(transform, sep=",").reshape(4, 4)
focus = np.dot([0, 0, 0, 1], tx)[:3]
normal = np.dot([0, 1, 0, 0], tx)[:3]
if __name__ == '__main__':
args = opticks_main(det="reflect", stag="1", ptag="2")
try:
es = Evt(tag=args.stag, label="S", det=args.det, args=args)
ep = Evt(tag=args.ptag, label="P", det=args.det, args=args)
except IOError as err:
log.fatal(err)
sys.exit(args.mrc)
log.info(" es : %s " % es.brief)
log.info(" ep : %s " % ep.brief)
if not (es.valid and ep.valid):
log.fatal("both es and ep must be valid")
sys.exit(1)
pass
if np == None:
print("no numpy early abort : so this does not cause SSysTest to fail ")
sys.exit(0)
pass
from opticks.ana.base import opticks_main
from opticks.ana.nbase import vnorm
from opticks.ana.evt import Evt
if __name__ == '__main__':
np.set_printoptions(precision=4, linewidth=200)
args = opticks_main(doc=__doc__,
tag="10",
src="torch",
det="PmtInBox",
c2max=2.0,
tagoffset=0)
log.info("tag %s src %s det %s c2max %s " %
(args.utag, args.src, args.det, args.c2max))
#seqs = ["TO BT BR BT BT BT BT SA"]
#seqs = ["TO BT BR BR BT SA"]
seqs = []
try:
a = Evt(tag="%s" % args.utag,
src=args.src,
det=args.det,
seqs=seqs,
In [57]: n[d>60].min()
Out[57]: 1.6774575260175819
In [58]: n[d>60].max()
Out[58]: 1.6846611499786377
"""
plt.hist(d, bins=100)
if __name__ == '__main__':
logging.basicConfig(level=logging.INFO)
args = opticks_main(det="newton", tag="1", src="torch")
plt.ion()
try:
sel = Evt(tag=args.tag, det=args.det, src=args.src, seqs=["TO BT BT SA"], args=args) # newton, uses single incident angle
except IOError as err:
log.fatal(err)
sys.exit(args.mrc)
log.info("loaded %s " % repr(sel))
boundary = Boundary("Vacuum///GlassSchottF2")
prism = Prism("60.,300,300,0", boundary)
a, b = c[0], c[1]
c2, c2n, c2nn = chi2(a, b, cut=30)
c2p = c2.sum() / c2n
plt.plot(bns[:-1], c2, drawstyle='steps', label="chi2/ndf %4.2f" % c2p)
ax.set_xlim(xlim)
ax.legend()
ax.set_ylim(ylim2)
droplet.bow_angle_rectangles()
if __name__ == '__main__':
args = opticks_main(tag="5", src="torch", det="rainbow", doc=__doc__)
boundary = Boundary("Vacuum///MainH2OHale")
droplet = Droplet(boundary)
plt.ion()
plt.close()
tag = args.tag
src = args.src
det = args.det
rec = True
log_ = True
not_ = False
if det == "rainbow":
so.py --det tboolean-torus --tag 1 --src torch
Jump into interactive::
ipython -i $(which so.py) -- --det tboolean-sphere --tag 1 --src torch
"""
import logging, sys
log = logging.getLogger(__name__)
from opticks.ana.base import opticks_main
from opticks.ana.nload import A
from opticks.ana.nbase import vnorm
if __name__ == '__main__':
args = opticks_main(src="torch", tag="1", det="tboolean-sphere")
try:
so = A.load_("so", args.src, args.tag, args.det)
except IOError as err:
log.fatal(err)
sys.exit(args.mrc)
log.info("loaded so %s %s shape %s " % (so.path, so.stamp, repr(so.shape)))
print so
v = so[:, 0, :3]
print "v", v
print "vnorm(v)", vnorm(v)
"""
import logging, numpy as np
log = logging.getLogger(__name__)
from opticks.ana.base import opticks_main
from opticks.ana.nload import A
from opticks.ana.nbase import count_unique_sorted
cusfmt_ = lambda cus: "\n".join(["%16x %8d " % (q, n) for q, n in cus])
msk_ = lambda n: (1 << 4 *
(n + 1)) - 1 # msk_(0)=0xf msk_(1)=0xff msk_(2)=0xfff
if __name__ == '__main__':
args = opticks_main(doc=__doc__,
tag="1",
src="torch",
det="laser",
c2max=2.0,
tagoffset=0)
np.set_printoptions(precision=4, linewidth=200, formatter={'int': hex})
log.info("tag %s src %s det %s c2max %s " %
(args.utag, args.src, args.det, args.c2max))
dbg = False
ph = A.load_("ph", args.src, args.utag, args.det, dbg, optional=True)
seqhis = ph[:, 0, 0]
for i in range(10):
msk = msk_(i)
sqh = seqhis & msk
ap = a.rpost_(i)
ar = vnorm(ap[:, :2])
if len(ar) > 0:
print " ".join(map(lambda _: "%6.3f" % _, (ar.min(), ar.max())))
bp = b.rpost_(0)
br = vnorm(bp[:, :2])
if len(br) > 0:
print " ".join(map(lambda _: "%6.3f" % _, (br.min(), br.max())))
def dump(self):
self.dump_ranges(0)
self.dump_histories()
if __name__ == '__main__':
np.set_printoptions(precision=4, linewidth=200)
args = opticks_main(tag="1", src="torch", det="default")
log.info(" args %s " % repr(args))
seqhis_select = slice(1, 2)
#seqhis_select = slice(0,8)
try:
cf = CF(tag=args.tag, src=args.src, det=args.det, select=seqhis_select)
except IOError as err:
log.fatal(err)
sys.exit(args.mrc)
cf.dump()
ierr |= ERROR_LHS_END_NONEMPTY if LHS_curr != -1 else 0
ierr |= ERROR_RHS_END_EMPTY if RHS_curr != 0 else 0
assert RHS_curr == 0 and ierr == 0
assert RHS_curr == 0, RHS_curr
ret = csg_[RHS].data[0]
assert ret.shape == (4, 4)
ret[0, W] = abs(ret[0, W])
return ret
if __name__ == '__main__':
#if 0:
args = opticks_main(doc=__doc__)
from nodeRenderer import Renderer
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = 18, 10.2
plt.ion()
plt.close("all")
#roots = [lrsph_d1, lrsph_u]
#roots = [lrsph_u]
#roots = [lrsph_d1]
roots = trees
#roots = [root3]
#roots = ["$TMP/tboolean-csg-two-box-minus-sphere-interlocked"]
#roots = ["$TMP/tboolean-csg-four-box-minus-sphere"]
plt.rcParams[
'figure.figsize'] = 18, 10.2 # plt.gcf().get_size_inches() after maximize
import matplotlib.gridspec as gridspec
except ImportError:
print "matplotlib missing : you need this to make plots"
plt = None
from opticks.ana.base import opticks_main
from opticks.ana.nbase import vnorm
from opticks.ana.evt import Evt
from opticks.ana.cf import CF
from opticks.ana.cfplot import cfplot, qwns_plot, qwn_plot, multiplot
if __name__ == '__main__':
np.set_printoptions(precision=4, linewidth=200)
args = opticks_main(tag="1", src="torch", det="laser")
log.info(" args %s " % repr(args))
log.info("tag %s src %s det %s c2max %s " %
(args.utag, args.src, args.det, args.c2max))
plt.ion()
plt.close()
select = slice(1, 2)
#select = slice(0,8)
try:
cf = CF(tag=args.tag, src=args.src, det=args.det, select=select)
except IOError as err:
log.fatal(err)
sys.exit(args.mrc)
def check_dbgseed(a,g):
"""
The seeds should be genstep_id from 0:num_genstep-1
"""
aa = count_unique(a[:,0,0].view(np.int32))
assert np.all(aa[:,0] == np.arange(0,len(aa)))
xx = g[:,0,3].view(np.int32) ## photons per genstep
assert len(aa) == len(xx)
assert np.all(aa[:,1] == xx)
if __name__ == '__main__':
args = opticks_main(src="torch", tag="1", det="dayabay")
np.set_printoptions(suppress=True, precision=3)
cpath = x_("$TMP/dbgseed_compute.npy")
ipath = x_("$TMP/dbgseed_interop.npy")
log.info("cpath : %s " % cpath)
log.info("ipath : %s " % ipath)
if not(os.path.exists(cpath) and os.path.exists(ipath)):
log.warning("SKIP due to missing path")
sys.exit(0) ## very particular test, not a standardized test yet so dont treat as a fail
c = np.load(cpath)
i = np.load(ipath)
x = pc.p3[:, 0]
y = pc.p3[:, 1]
z = pc.p3[:, 2]
#assert np.all(x == 1200.)
#off = x != 1200.
#print pc.p3[off]
from matplotlib.colors import LogNorm
ax.hist2d(w, y, bins=100, norm=LogNorm())
if __name__ == '__main__':
args = opticks_main(tag="1", det="prism")
plt.ion()
#wl = np.arange(10, dtype=np.float32)*70. + 100.
# low range is off edge of the refractive index values
seqs = ["TO BT BT SA"]
try:
sel = Evt(tag=args.tag, det=args.det, seqs=seqs, args=args)
except IOError as err:
log.fatal(err)
sys.exit(args.mrc)
log.info("sel %s " % sel.brief)
ax.set_yscale('log')
ax = fig.add_subplot(222)
ax.hist(y[s], bins=100)
ax.set_yscale('log')
ax = fig.add_subplot(223)
ax.hist(z[s], bins=100)
ax.set_yscale('log')
ax = fig.add_subplot(224)
ax.hist(t[s], bins=100)
ax.set_yscale('log')
fig.show()
if __name__ == '__main__':
ok = opticks_main(src="G4Gun", det="G4Gun", tag="-1")
try:
evt = Evt(tag=ok.tag, src=ok.src, det=ok.det, args=ok)
except IOError as err:
log.fatal(err)
sys.exit(ok.mrc)
pass
print evt
red_gensteps_everywhere_issue(evt.gs)
"""
import os, sys, logging, numpy as np
log = logging.getLogger(__name__)
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from opticks.ana.base import opticks_main
from opticks.ana.evt import Evt
from opticks.ana.planck import planck
if __name__ == '__main__':
plt.ion()
args = opticks_main(tag="1", det="white", src="torch")
## tag = "1" ## dont have any tag 1 anymore
## tag = "15" ## so added tag 15,16 to ggv-rainbow with wavelength=0 which is default black body
try:
evt = Evt(tag=args.tag, det=args.det, src=args.src, args=args)
except IOError as err:
log.fatal(err)
sys.exit(args.mrc)
if not evt.valid:
log.fatal("failed to load evt %s " % repr(args))
sys.exit(1)
wl = evt.wl
x1, y1, bins=nb
) # xy: not symmetric, seems -Y tangentials favored over +Y tangentials
ax.set_xlabel("x1 y1")
ax = fig.add_subplot(nr, nc, 5)
plt.hist2d(x1, z1, bins=nb) # xz: only 0:-100 as only half illuminated
ax.set_xlabel("x1 z1")
ax = fig.add_subplot(nr, nc, 6)
plt.hist2d(y1, z1, bins=nb) # yz: looks symmetric
ax.set_xlabel("y1 z1")
if __name__ == '__main__':
args = opticks_main(tag="-5", det="rainbow", src="torch")
plt.ion()
plt.close()
boundary = Boundary("Vacuum///MainH2OHale")
seqs = ["TO BR SA"]
#evt = Evt(tag="-6", det="rainbow", seqs=seqs, label="P G4")
tag = args.tag
if tag == "-6":
label = "P G4"
elif tag == "-5":
label = "S G4"
pass
def one_plot(fig, pmt, pts, clip=True, axes=ZX, highlight={}):
ax = fig.add_subplot(1,1,1, aspect='equal')
pp = PmtPlot(ax, pmt, axes=axes)
pp.highlight = highlight
pp.plot_shape(pts, clip=clip)
pp.limits()
if __name__ == '__main__':
logging.basicConfig(level=logging.INFO)
args = opticks_main(apmtidx=2)
apmtpath = args.apmtpath
# 0:4 PYREX
# 4:8 VACUUM
# 8:12 CATHODE
# 12:14 BOTTOM
# 14:15 DYNODE
highlight = {}
highlight[8] = 'r'
highlight[9] = 'r'
highlight[10] = 'r'
highlight[11] = 'b'
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
"""
import os, logging, numpy as np
from opticks.ana.base import opticks_main
from opticks.ana.cfh import CFH
log = logging.getLogger(__name__)
if __name__ == '__main__':
ok = opticks_main(tag="1", src="torch", det="concentric")
ctx = {'det': ok.det, 'tag': ok.tag}
tagd = CFH.tagdir_(ctx)
seq0s = os.listdir(tagd)
seq0 = seq0s[0]
irec = len(seq0.split("_")) - 1
ctx.update({'seq0': seq0, 'irec': str(irec)})
log.info(" ctx %r " % ctx)
elif type(arg) is str:
name = arg
elif type(arg) is slice:
return map(lambda name: self(name), self.names[arg])
else:
assert 0, (type(arg), "unexpected type")
pass
return self.check_bnd(name)
def check_bnd(self, name):
omat, osur, isur, imat = name.split("/")
if __name__ == '__main__':
ok = opticks_main()
blib = PropLib("GBndLib")
names = blib.names
n = len(names)
nam = np.zeros((n, 4), dtype="|S64")
for i, name in enumerate(names):
nam[i] = name.split("/")
cf = CFProp(ok)
if 0:
for i in range(n):
name = names[i]
"""
import os, sys, logging, numpy as np
log = logging.getLogger(__name__)
import matplotlib.pyplot as plt
from opticks.ana.base import opticks_main
from opticks.ana.nbase import vnorm
from opticks.ana.evt import Evt
X, Y, Z, W = 0, 1, 2, 3
if __name__ == '__main__':
args = opticks_main(tag="1", src="torch", det="BoxInBox")
np.set_printoptions(precision=4, linewidth=200)
np.set_printoptions(formatter={'int': hex})
plt.ion()
plt.close()
try:
a = Evt(tag="%s" % args.tag, src=args.src, det=args.det, args=args)
b = Evt(tag="-%s" % args.tag, src=args.src, det=args.det, args=args)
except IOError as err:
log.fatal(err)
sys.exit(args.mrc)
log.info(" A : %s " % a.brief)
