vectorops.c
来自「这是一个基于HMM 模型的生物多序列比对算法的linux实现版本。hmmer」· C语言 代码 · 共 300 行
C
300 行
/* vectorops.c * Operations on vectors of floats or doubles. * * DSet(), FSet() - set all items in vector to value. * DScale(), FScale() - multiply all items in vector by scale * DSum(), FSum() - return sum of values in vector * DAdd(), FAdd() - add vec2 to vec1. * DCopy(), FCopy() - set vec1 to be same as vec2. * DDot(), FDot() - return dot product of two vectors. * DMax(), FMax() - return value of maximum element in vector * DMin(), FMin() - return value of minimum element in vector * DArgMax(), FArgMax() - return index of maximum element in vector * DArgMin(), FArgMin() - return index of minimum element in vector * * DNorm(), FNorm() - normalize a probability vector of length n. * DLog(), FLog() - convert to log probabilities * DExp(), FExp() - convert log p's back to probabilities * DLogSum(), FLogSum() - given vector of log p's; return log of summed p's. * * SRE, Tue Oct 1 15:23:25 2002 [St. Louis] * CVS $Id: vectorops.c,v 1.4 2003/04/14 16:00:16 eddy Exp $ */ #include "squidconf.h"#include <stdlib.h>#include <math.h>#include <float.h>#include "vectorops.h"voidDSet(double *vec, int n, double value){ int x; for (x = 0; x < n; x++) vec[x] = value;}voidFSet(float *vec, int n, float value){ int x; for (x = 0; x < n; x++) vec[x] = value;}voidDScale(double *vec, int n, double scale){ int x; for (x = 0; x < n; x++) vec[x] *= scale;}voidFScale(float *vec, int n, float scale){ int x; for (x = 0; x < n; x++) vec[x] *= scale;}double DSum(double *vec, int n){ double sum = 0.; int x; for (x = 0; x < n; x++) sum += vec[x]; return sum;}float FSum(float *vec, int n){ float sum = 0.; int x; for (x = 0; x < n; x++) sum += vec[x]; return sum;}voidDAdd(double *vec1, double *vec2, int n){ int x; for (x = 0; x < n; x++) vec1[x] += vec2[x];}voidFAdd(float *vec1, float *vec2, int n){ int x; for (x = 0; x < n; x++) vec1[x] += vec2[x];}voidDCopy(double *vec1, double *vec2, int n){ int x; for (x = 0; x < n; x++) vec1[x] = vec2[x];}voidFCopy(float *vec1, float *vec2, int n){ int x; for (x = 0; x < n; x++) vec1[x] = vec2[x];}doubleDDot(double *vec1, double *vec2, int n){ double result = 0.; int x; for (x = 0; x < n; x++) result += vec1[x] * vec2[x]; return result;}floatFDot(float *vec1, float *vec2, int n){ float result = 0.; int x; for (x = 0; x < n; x++) result += vec1[x] * vec2[x]; return result;}doubleDMax(double *vec, int n){ int i; double best; best = vec[0]; for (i = 1; i < n; i++) if (vec[i] > best) best = vec[i]; return best;}floatFMax(float *vec, int n){ int i; float best; best = vec[0]; for (i = 1; i < n; i++) if (vec[i] > best) best = vec[i]; return best;}doubleDMin(double *vec, int n){ int i; double best; best = vec[0]; for (i = 1; i < n; i++) if (vec[i] < best) best = vec[i]; return best;}floatFMin(float *vec, int n){ int i; float best; best = vec[0]; for (i = 1; i < n; i++) if (vec[i] < best) best = vec[i]; return best;}intDArgMax(double *vec, int n){ int i; int best = 0; for (i = 1; i < n; i++) if (vec[i] > vec[best]) best = i; return best;}intFArgMax(float *vec, int n){ int i; int best = 0; for (i = 1; i < n; i++) if (vec[i] > vec[best]) best = i; return best;}intDArgMin(double *vec, int n){ int i; int best = 0; for (i = 1; i < n; i++) if (vec[i] < vec[best]) best = i; return best;}intFArgMin(float *vec, int n){ int i; int best = 0; for (i = 1; i < n; i++) if (vec[i] < vec[best]) best = i; return best;}voidDNorm(double *vec, int n){ int x; double sum; sum = DSum(vec, n); if (sum != 0.0) for (x = 0; x < n; x++) vec[x] /= sum; else for (x = 0; x < n; x++) vec[x] = 1. / (double) n;}voidFNorm(float *vec, int n){ int x; float sum; sum = FSum(vec, n); if (sum != 0.0) for (x = 0; x < n; x++) vec[x] /= sum; else for (x = 0; x < n; x++) vec[x] = 1. / (float) n;}voidDLog(double *vec, int n){ int x; for (x = 0; x < n; x++) if (vec[x] > 0.) vec[x] = log(vec[x]); else vec[x] = -DBL_MAX;}voidFLog(float *vec, int n){ int x; for (x = 0; x < n; x++) if (vec[x] > 0.) vec[x] = log(vec[x]); else vec[x] = -FLT_MAX;}voidDExp(double *vec, int n){ int x; for (x = 0; x < n; x++) vec[x] = exp(vec[x]);}voidFExp(float *vec, int n){ int x; for (x = 0; x < n; x++) vec[x] = exp(vec[x]);}doubleDLogSum(double *vec, int n){ int x; double max, sum; max = DMax(vec, n); sum = 0.0; for (x = 0; x < n; x++) if (vec[x] > max - 50.) sum += exp(vec[x] - max); sum = log(sum) + max; return sum;}floatFLogSum(float *vec, int n){ int x; float max, sum; max = FMax(vec, n); sum = 0.0; for (x = 0; x < n; x++) if (vec[x] > max - 50.) sum += exp(vec[x] - max); sum = log(sum) + max; return sum;}
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