add C function for FFHS integration
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15
src/nmreval/clib/integrate.c
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15
src/nmreval/clib/integrate.c
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@ -0,0 +1,15 @@
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/* integrands used in quadrature integration with scipy's LowLevelCallables */
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/* integrand for distributions/intermolecular/FFHS */
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double ffhs_sd(double x, void *user_data) {
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double *c = (double *)user_data;
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double tau = c[1];
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double omega = c[0];
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double u = x*x;
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double res = u*u * c[1];
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res /= 81. + 9.*u - 2.*u*u + u*u*u;
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res /= u*u + omega*omega * tau*tau;
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return res;
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}
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@ -1,8 +1,24 @@
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import ctypes
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import os.path
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from pathlib import Path
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import numpy as np
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from scipy import LowLevelCallable
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from scipy.integrate import quad
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from .base import Distribution
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try:
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print(str(Path(__file__).parents[1] / 'clib' / 'integrate.so'))
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lib = ctypes.CDLL(str(Path(__file__).parents[1] / 'clib' / 'integrate.so'))
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lib.ffhs_sd.restype = ctypes.c_double
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lib.ffhs_sd.argtypes = (ctypes.c_double, ctypes.c_void_p)
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HAS_C_FUNCS = True
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print('Use C functions')
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except OSError:
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HAS_C_FUNCS = False
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print('Use python functions')
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class FFHS(Distribution):
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name = 'Intermolecular (FFHS)'
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@ -24,7 +40,7 @@ class FFHS(Distribution):
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return ret_val
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@staticmethod
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def specdens(omega, tau0, *args):
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def specdens_py(omega, tau0, *args):
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def integrand(u, o, tau0):
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return u**4 * tau0 / (81 + 9*u**2 - 2*u**4 + u**6) / (u**4 + (o*tau0)**2)
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# return FFHS.distribution(u, tau0) * u / (1+o**2 * u**2)
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@ -33,6 +49,17 @@ class FFHS(Distribution):
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return ret_val * 54 / np.pi
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@staticmethod
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def specdens_c(omega, tau0, *args):
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res = []
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for o in omega:
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c = (ctypes.c_double * 2)(o, tau0)
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user_data = ctypes.cast(ctypes.pointer(c), ctypes.c_void_p)
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func = LowLevelCallable(lib.ffhs_sd, user_data)
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res.append(quad(func, 0, np.infty)[0])
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return np.array(res) * 54 / np.pi
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@staticmethod
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def susceptibility(omega, tau0, *args):
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def integrand_real(u, o, tau0):
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@ -48,6 +75,9 @@ class FFHS(Distribution):
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return ret_val
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FFHS.specdens = FFHS.specdens_c if HAS_C_FUNCS else FFHS.specdens_py
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# class Bessel(Distribution):
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# name = 'Intermolecular (Bessel)'
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# parameter = None
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@ -1,4 +1,3 @@
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import time
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import warnings
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from itertools import product
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