# sg.theta = theta.reshape(sh).copy()
# res = sg.interpolate(grid2, with_derivative=False)
# return res
#
from dolo.numeric.serial_operations import numdiff1, numdiff2
# x0 = sg.theta.flatten()
x0 = values.flatten()
print(x0.shape)
test = fun(x0)
print('image')
print(test.shape)
# dtest = numdiff1(grid[1] fun, values)
dtest = numdiff2(fun, x0, dv=1e-5)
# print(values.shape)
# print(test.shape)
# print(dtest)
print('numerical derivative')
print(dtest.shape)
# dtest = dtest.swapaxes(1,2)
# print(test.shape)
# print(test)
# [res1, res2, res3] = sg.interpolate(grid2, with_theta_deriv=True)
#
print('symbolic derivative')
# sg.theta = theta.reshape(sh).copy()
# res = sg.interpolate(grid2, with_derivative=False)
# return res
#
from dolo.numeric.serial_operations import numdiff1, numdiff2
# x0 = sg.theta.flatten()
x0 = values.flatten()
print(x0.shape)
test = fun(x0)
print('image')
print( test.shape)
# dtest = numdiff1(grid[1] fun, values)
dtest = numdiff2( fun, x0, dv=1e-5)
# print(values.shape)
# print(test.shape)
# print(dtest)
print('numerical derivative')
print(dtest.shape)
# dtest = dtest.swapaxes(1,2)
# print(test.shape)
# print(test)
# [res1, res2, res3] = sg.interpolate(grid2, with_theta_deriv=True)
#
print('symbolic derivative')
# print ddval
# print(dval0)
def fobj(values):
sg2.fit_values(values.reshape((2, 5)))
return sg2.interpolate(sg2.grid, with_derivative=False)
print('derivatives w.r.t. parameters')
[val, dval] = sg2.interpolate(sg2.grid,
with_theta_deriv=True,
with_derivative=False)
vals = vals.reshape((1, 10))
# [val0,dval0] = numdiff1(fobj,vals)
[val1, dval1] = numdiff2(fobj, vals)
print vals.shape
print fobj(vals).shape
print dval.shape
print dval.shape
# print dval0.shape
print(dval1.shape)
exit()
ddval = numdiff1(sg2.interpolate, sg2.real_grid)
print ddval
print dval.shape
print ddval.shape
# print('dval - dval0')
# print(ddval -dval)
# print(ddval -dval0)
# print ddval
# print(dval0)
def fobj(values):
sg2.fit_values(values.reshape((2, 5)))
return sg2.interpolate(sg2.grid, with_derivative=False)
print ("derivatives w.r.t. parameters")
[val, dval] = sg2.interpolate(sg2.grid, with_theta_deriv=True, with_derivative=False)
vals = vals.reshape((1, 10))
# [val0,dval0] = numdiff1(fobj,vals)
[val1, dval1] = numdiff2(fobj, vals)
print vals.shape
print fobj(vals).shape
print dval.shape
print dval.shape
# print dval0.shape
print (dval1.shape)
exit()
ddval = numdiff1(sg2.interpolate, sg2.real_grid)
print ddval
print dval.shape
print ddval.shape
