def generate_jacobian_lut(luts, axes):
"""
generates a jacobian-lut at exactly the same
positions (axes points) as the original luts
"""
func = l2f.lut2func(luts, axes)
if isinstance(luts, tuple):
ny = len(luts)
elif isinstance(luts, np.ndarray):
ny = luts.shape[-1]
else:
print "Luts is not of right type"
return None
nx = len(axes)
dimi = np.array([len(ax) for ax in (axes)])
dimj = [len(ax) for ax in (axes)]
dimj.append(ny * nx)
out = np.zeros(dimj)
a = np.zeros(len(axes))
b = np.zeros(len(axes))
a = np.array([ax.min() for ax in axes])
b = np.array([ax.max() for ax in axes])
def njac(x):
return numerical_jacoby(a, b, x, func, nx, ny, delta=0.01)
print ("Filling the jacobian ...")
progress = wln.wln(dimi.prod(), "Progress", modulo=10000)
for i in np.arange(dimi.prod()):
idx = np.unravel_index(i, dimi)
wo = np.array([ax[i] for i, ax in zip(idx, axes)])
out[idx] = njac(wo).ravel()
progress.event()
print ("")
print ("Done")
return {"lut": out, "ny": ny, "nx": nx, "axes": axes}
def generate_jacobian_lut(luts, axes):
'''
generates a jacobian-lut at exactly the same
positions (axes points) as the original luts
'''
func = l2f.lut2func(luts, axes)
if isinstance(luts, tuple):
ny = len(luts)
elif isinstance(luts, np.ndarray):
ny = luts.shape[-1]
else:
print 'Luts is not of right type'
return None
nx = len(axes)
dimi = np.array([len(ax) for ax in (axes)])
dimj = [len(ax) for ax in (axes)]
dimj.append(ny * nx)
out = np.zeros(dimj)
a = np.zeros(len(axes))
b = np.zeros(len(axes))
a = np.array([ax.min() for ax in axes])
b = np.array([ax.max() for ax in axes])
def njac(x):
return numerical_jacoby(a, b, x, func, nx, ny, delta=0.01)
print('Filling the jacobian ...')
progress = wln.wln(dimi.prod(), 'Progress', modulo=10000)
for i in np.arange(dimi.prod()):
idx = np.unravel_index(i, dimi)
wo = np.array([ax[i] for i, ax in zip(idx, axes)])
out[idx] = njac(wo).ravel()
progress.event()
print('')
print('Done')
return {'lut': out, 'ny': ny, 'nx': nx, 'axes': axes}
days = int(rem)/86400
if days >= 1: days=str(days)+"d "
else: days=""
# Convert to nice string
rem = " Remaining: " +days+time.strftime("%H:%M:%S",time.gmtime(rem))
#test 0057/1000 1.12 s (1.31 s +- 0.25 s) Remaining: 00:20:39
out = out + rem
print self.name, out ,' \r',
sys.stdout.flush()
if __name__ == '__main__':
import wln
import time
import random
nitter = 40
tt = 2
a=wln.wln(nitter,name='name',modulo=1)
for i in xrange(nitter):
# do something slow and often
ttt=tt*random.random()
time.sleep(ttt)
a.event()
def generate_jacobian_lut(luts, axes, xidx=None):
'''
generates a jacobian-lut at exactly the same
positions (axes points) as the original luts
xidx gives the positions, where the jacobian
will be calulated, the other positions are ignored
(e.g. geometry in LUTs )
'''
func = l2f.lut2func(luts, axes)
if isinstance(luts, tuple):
ny = len(luts)
dtype = luts[0].dtype
elif isinstance(luts, np.ndarray):
ny = luts.shape[-1]
dtype = luts.dtype
else:
print('Lut is not of right type')
return None
if xidx is None:
nx = len(axes)
else:
nx = len(xidx)
dimi = np.array([len(ax) for ax in (axes)])
dimj = [len(ax) for ax in (axes)]
dimj.append(ny * nx)
out = np.zeros(dimj, dtype=dtype)
a = np.zeros(len(axes))
b = np.zeros(len(axes))
a = np.array([ax.min() for ax in axes])
b = np.array([ax.max() for ax in axes])
def njac(x, dx=None):
return numerical_jacoby(a,
b,
x,
func,
nx,
ny,
delta=0.01,
xidx=xidx,
dx=dx)
def optimal_dx(i, ax):
if i == 0:
dx = np.abs(ax[1] - ax[0]) / 2.
elif i == ax.size - 1:
dx = np.abs(ax[-1] - ax[-2]) / 2.
else:
dx = min(np.abs(ax[i + 1] - ax[i]), np.abs(ax[i] - ax[i - 1])) / 2.
return dx
print('Filling the jacobian ...')
progress = wln(dimi.prod(), 'Progress', modulo=10000)
for i in np.arange(dimi.prod()):
idx = np.unravel_index(i, dimi)
wo = np.array([ax[i] for i, ax in zip(idx, axes)])
dx = np.array([optimal_dx(i, ax) for i, ax in zip(idx, axes)])
out[idx] = njac(wo, dx).ravel()
progress.event()
print('')
print('Done')
return {'lut': out, 'ny': ny, 'nx': nx, 'axes': axes, 'xidx': xidx}
rem = (self.nitter - self.count) * self.mean
# check if more than a day
days = int(rem) / 86400
if days >= 1: days = str(days) + "d "
else: days = ""
# Convert to nice string
rem = " Remaining: " + days + time.strftime(
"%H:%M:%S", time.gmtime(rem))
#test 0057/1000 1.12 s (1.31 s +- 0.25 s) Remaining: 00:20:39
out = out + rem
print self.name, out, ' \r',
sys.stdout.flush()
if __name__ == '__main__':
import wln
import time
import random
nitter = 40
tt = 2
a = wln.wln(nitter, name='name', modulo=1)
for i in xrange(nitter):
# do something slow and often
ttt = tt * random.random()
time.sleep(ttt)
a.event()
