thirdparty.h

Go to the documentation of this file.

/* This file contains routines (perhaps in modified form) by third parties.
 * Use and distribution of these works are determined by their respective copyrights. */
 
#ifndef THIRDPARTY_H_
#define THIRDPARTY_H_
 
#include "physconst.h"
 
/*============================================================================*/
 
/* these are the routines in thirdparty.cpp */
 
bool linfit(
        long n,
        const double x[], /* x[n] */
        const double y[], /* y[n] */
        double &a,
        double &siga,
        double &b,
        double &sigb
);

static const int NPRE_FACTORIAL = 171;
 
/* largest value of fct function corresponding to factorial in six j sjs calculation */
static const int MXDSF = 340;

double factorial(long n);

double lfactorial(long n);
 
complex<double> cdgamma(complex<double> x);
 
double bessel_j0(double x);
double bessel_y0(double x);
double bessel_j1(double x);
double bessel_y1(double x);
double bessel_jn(int n, double x);
double bessel_yn(int n, double x);
 
double ellpk(double x);

double expn(int n, double x);

double erfce(double);
 
double igam (double a, double x);
double igamc (double a, double x);
double igamc_scaled(double a, double x);
 
double bessel_k0(double x);
double bessel_k0_scaled(double x);
double bessel_k1(double x);
double bessel_k1_scaled(double x);
void bessel_k0_k1(double x, double* k0val, double* k1val);
void bessel_k0_k1_scaled(double x, double* k0val, double* k1val);
 
double bessel_i0(double x);
double bessel_i0_scaled(double x);
double bessel_i1(double x);
double bessel_i1_scaled(double x);
void bessel_i0_i1(double x, double* k0val, double* k1val);
void bessel_i0_i1_scaled(double x, double* k0val, double* k1val);
 
#ifndef HAVE_SINCOS
// this is a GNU extension
inline void sincos(double x, double* s, double* c)
{
        *s = sin(x);
        *c = cos(x);
}
#endif

double e1(double x);

double e1_scaled(double x);

double e2(double t);
 
/* random number generator written by David Blackman and Sebastiano Vigna (vigna@acm.org) */
void xoroshiro128plus(uint64* pool, size_t size, uint64 state[], size_t ns);
/* this call is equivalent to skipping ahead 2^64 random variates in the sequence */
void xoroshiro128plus_jump(uint64& state0, uint64& state1);
/* another random number generator written by David Blackman and Sebastiano Vigna (vigna@acm.org) */
void xoshiro256starstar(uint64* pool, size_t size, uint64 state[], size_t ns);
/* this call is equivalent to skipping ahead 2^128 random variates in the sequence */
void xoshiro256starstar_jump(uint64& state0, uint64& state1, uint64& state2, uint64& state3);
 
/* simple random number generator written by Sebastiano Vigna (vigna@acm.org) */
uint64 splitmix64(uint64& state);
 
/*============================================================================*/
 
/* these are the routines in thirdparty_interpolate.cpp */
 
void spline_cubic_set( long n, const double t[], const double y[], double ypp[],
                       int ibcbeg, double ybcbeg, int ibcend, double ybcend );
void spline_cubic_val( long n, const double t[], double tval, const double y[], const double ypp[],
                       double *yval, double *ypval, double *yppval );

inline void spline(const double x[], 
                   const double y[], 
                   long int n, 
                   double yp1, 
                   double ypn, 
                   double y2a[])
{
        int ibcbeg = ( yp1 > 0.99999e30 ) ? 2 : 1;
        double ybcbeg = ( yp1 > 0.99999e30 ) ? 0. : yp1;
        int ibcend = ( ypn > 0.99999e30 ) ? 2 : 1;
        double ybcend = ( ypn > 0.99999e30 ) ? 0. : ypn;
        spline_cubic_set( n, x, y, y2a, ibcbeg, ybcbeg, ibcend, ybcend );
        return;
}

inline void splint(const double xa[], 
                   const double ya[], 
                   const double y2a[], 
                   long int n, 
                   double x, 
                   double *y)
{
        spline_cubic_val( n, xa, x, ya, y2a, y, NULL, NULL );
        return;
}
 
inline void spldrv(const double xa[], 
                   const double ya[], 
                   const double y2a[], 
                   long int n, 
                   double x, 
                   double *y)
{
        spline_cubic_val( n, xa, x, ya, y2a, NULL, y, NULL );
        return;
}
 
/* wrapper routine for splint that checks whether x-value is within bounds
 * if the x-value is out of bounds, a flag will be raised and the function
 * will be evaluated at the nearest boundary */
/* >>chng 03 jan 15, added splint_safe, PvH */
inline void splint_safe(const double xa[], 
                        const double ya[], 
                        const double y2a[], 
                        long int n, 
                        double x, 
                        double *y,
                        bool *lgOutOfBounds)
{
        double xsafe;
 
        const double lo_bound = MIN2(xa[0],xa[n-1]);
        const double hi_bound = MAX2(xa[0],xa[n-1]);
        const double SAFETY = MAX2(hi_bound-lo_bound,1.)*10.*DBL_EPSILON;
 
        DEBUG_ENTRY( "splint_safe()" );
 
        if( x < lo_bound-SAFETY )
        {
                xsafe = lo_bound;
                *lgOutOfBounds = true;
        }
        else if( x > hi_bound+SAFETY )
        {
                xsafe = hi_bound;
                *lgOutOfBounds = true;
        }
        else
        {
                xsafe = x;
                *lgOutOfBounds = false;
        }
 
        splint(xa,ya,y2a,n,xsafe,y);
        return;
}
 
/* wrapper routine for spldrv that checks whether x-value is within bounds
 * if the x-value is out of bounds, a flag will be raised and the function
 * will be evaluated at the nearest boundary */
/* >>chng 03 jan 15, added spldrv_safe, PvH */
inline void spldrv_safe(const double xa[],
                        const double ya[],
                        const double y2a[],
                        long int n,
                        double x,
                        double *y,
                        bool *lgOutOfBounds)
{
        double xsafe;
 
        const double lo_bound = MIN2(xa[0],xa[n-1]);
        const double hi_bound = MAX2(xa[0],xa[n-1]);
        const double SAFETY = MAX2(fabs(lo_bound),fabs(hi_bound))*10.*DBL_EPSILON;
 
        DEBUG_ENTRY( "spldrv_safe()" );
 
        if( x < lo_bound-SAFETY )
        {
                xsafe = lo_bound;
                *lgOutOfBounds = true;
        }
        else if( x > hi_bound+SAFETY )
        {
                xsafe = hi_bound;
                *lgOutOfBounds = true;
        }
        else
        {
                xsafe = x;
                *lgOutOfBounds = false;
        }
 
        spldrv(xa,ya,y2a,n,xsafe,y);
        return;
}

double lagrange(const double x[], /* x[n] */
                const double y[], /* y[n] */
                long n,
                double xval);

template<class T>
inline long hunt_bisect(const T x[], /* x[n] */
                        long n,
                        T xval)
{
        /* do bisection hunt */
        long ilo = 0, ihi = n-1;
        while( ihi-ilo > 1 )
        {
                long imid = (ilo+ihi)/2;
                if( xval < x[imid] )
                        ihi = imid;
                else
                        ilo = imid;
        }
        return ilo;
}

template<class T>
inline long hunt_bisect(const vector<T>& x,
                        T xval)
{
        return hunt_bisect(get_ptr(x), x.size(), xval);
}
 
template<class T>
inline long hunt_bisect(const vector<T>& x,
                        size_t n,
                        T xval)
{
        ASSERT( n <= x.size() );
        return hunt_bisect(get_ptr(x), n, xval);
}

template<class T>
inline long hunt_bisect_reverse(const T x[], /* x[n] */
                                long n,
                                T xval)
{
        /* do bisection hunt */
        long ilo = 0, ihi = n-1;
        while( ihi-ilo > 1 )
        {
                long imid = (ilo+ihi)/2;
                if( xval <= x[imid] )
                        ilo = imid;
                else
                        ihi = imid;
        }
        return ilo;
}

template<class T>
inline long hunt_bisect_reverse(const vector<T>& x,
                                T xval)
{
        return hunt_bisect_reverse(get_ptr(x), x.size(), xval);
}
 
template<class T>
inline long hunt_bisect_reverse(const vector<T>& x,
                                size_t n,
                                T xval)
{
        ASSERT( n <= x.size() );
        return hunt_bisect_reverse(get_ptr(x), n, xval);
}

template<class T>
T linint(const T x[], /* x[n] */
         const T y[], /* y[n] */
         long n,
         T xval)
{
        T yval;
 
        ASSERT( n >= 2 );
 
        if( xval <= x[0] )
                yval = y[0];
        else if( xval >= x[n-1] )
                yval = y[n-1];
        else
        {
                long ilo = hunt_bisect( x, n, xval );
                T deriv = (y[ilo+1]-y[ilo])/(x[ilo+1]-x[ilo]);
                yval = y[ilo] + deriv*(xval-x[ilo]);
        }
        return yval;
}
 
/*============================================================================*/
 
/* these are the routines in thirdparty_lapack.cpp */
 
/* there are wrappers for lapack linear algebra routines.
 * there are two versions of the lapack routines - a fortran
 * version that I converted to C with forc to use if nothing else is available
 * (included in the Cloudy distribution),
 * and an option to link into an external lapack library that may be optimized
 * for your machine.  By default the tralated C routines will be used.
 * To use your machine's lapack library instead, define the macro
 * LAPACK and link into your library.  This is usually done with a command line
 * switch "-DLAPACK" on the compiler command, and the linker option "-llapack"
 */

void getrf_wrapper(long M, long N, double *A, long lda, int32 *ipiv, int32 *info);

void getrs_wrapper(char trans, long N, long nrhs, double *A, long lda, int32 *ipiv, double *B, long ldb, int32 *info);
 
double dawson(double x);
 
void humlik(int n, const realnum x[], realnum y, realnum k[]);
 
realnum FastVoigtH(realnum a, realnum v);
void FastVoigtH(realnum a, const realnum v[], realnum y[], size_t n);
 
// calculates y[i] = H(a,v[i]) as defined in Eq. 9-44 of Mihalas
inline void VoigtH(realnum a, const realnum v[], realnum y[], int n)
{
        if( a <= 0.1f )
        {
                FastVoigtH( a, v, y, n );
        }
        else
        {
                humlik( n, v, a, y );
        }
}
 
// calculates y[i] = U(a,v[i]) as defined in Eq. 9-45 of Mihalas
inline void VoigtU(realnum a, const realnum v[], realnum y[], int n)
{
        VoigtH( a, v, y, n );
        for( int i=0; i < n; ++i )
                y[i] /= realnum(SQRTPI);
}
 
// VoigtH0(a) returns the value H(a,0) following Eq. 9-44 of Mihalas
inline double VoigtH0(double a)
{
        return erfce(a);
}
 
// VoigtU0(a) returns the value U(a,0) following Eq. 9-45 of Mihalas
inline double VoigtU0(double a)
{
        return erfce(a)/SQRTPI;
}

static const unsigned int NMD5 = 32;

string MD5file(const char* fnam, access_scheme scheme=AS_DEFAULT);
string MD5datafile(const char* fnam, access_scheme scheme=AS_DEFAULT);
string MD5datastream(fstream& ioFile);
string MD5string(const string& str);
void MD5string(const string& str, uint64 md5sum[2]);
 
void test_expn();
void chbfit(double a, double b, vector<double>& c, double (*func)(double));
 
void svd(const int nm, const int m, const int n, double *a, 
                  double *w, bool matu, double *u, bool matv, 
                  double *v, int *ierr, double *rv1);
 
// Evaluate the Gegenbauer (aka ultraspherical) polynomial C_n^(alpha)(x)
double gegenbauer(long n, double al, double x);
 
// Diagonal generating function for ultraspherical polynomials,
// following Badnell analysis.  Integer argument to constructor is
// sum of raised and lowered index to the ultraspherical function.
class UltraGen
{
        long   m_a, m_n;
        double m_x, m_c1, m_c2;
public:
UltraGen(long a, double x) : m_a(a), m_n(0), m_x(x), m_c1(0.), m_c2(1.) 
        {}
        void step()
        {
                double c1 = m_c1;
                --m_a;
                m_c1 = 2.*m_a*(m_c2-m_x*c1)/(m_n+2*m_a);
                m_c2 = 2.*m_a*(m_x*m_c2-c1)/(m_n+1);
                ++m_n;
        }
        double val() const
        {
                return m_c2;
        }
};
 
// this is the triangular inequality for angular momenta in 2*J format
inline bool Triangle2(long J1, long J2, long J3)
{
        return ( J1 >= 0 && J2 >= 0 && J3 >= 0 &&
                 J1 >= abs(J2-J3) && J1 <= J2+J3 &&
                 J1%2 == (J2+J3)%2 );
}
 
// 6j Wigner evaluation, original routine Fortran Nigel Badnell 6j for Autostructure
double sjs(long j1, long j2, long j3, long l1, long l2, long l3);
// version of the above with less range in j, is exported for testing purposes
double SixJFull(long j1, long j2, long j3, long j4, long j5, long j6);
// Implementation utlizing recursion relation for vector of sixj values,
// should be robust to high j
void rec6j(double *sixcof, double l2, double l3, 
                          double l4, double l5, double l6, double *l1min,
                          double *l1max, double *lmatch, long ndim, long *ier);
 
// the following code was taken (and altered) from:
// http://www.geeksforgeeks.org/find-all-shortest-unique-prefixes-to-represent-each-word-in-a-given-list/
static const size_t TRIESZ = 128;
 
struct trieNode
{
        trieNode* child[TRIESZ];
        size_t freq;  // To store frequency
        trieNode()
        {
                memset(child, 0, TRIESZ*sizeof(trieNode*));
                freq = 0;
        }
        trieNode(const trieNode&) = delete;
        trieNode& operator= (const trieNode&) = delete;
        ~trieNode()
        {
                for( size_t i=0; i < TRIESZ; i++ )
                        delete child[i];
        }
};
 
void insertToken(trieNode* root, const string& token);
size_t findUniqueLen(trieNode* root, const string& token);
 
// the following code was taken (and altered) from:
// https://en.wikipedia.org/wiki/Levenshtein_distance
 
size_t LevenshteinDistance(const string& s, const string& t);
 
#endif /* THIRDPARTY_H_ */