📄 test.c
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/* randist/test.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000 James Theiler, Brian Gough * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or (at * your option) any later version. * * This program is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. */#include <config.h>#include <stdio.h>#include <stdlib.h>#include <math.h>#include <gsl/gsl_math.h>#include <gsl/gsl_randist.h>#include <gsl/gsl_rng.h>#include <gsl/gsl_test.h>#include <gsl/gsl_ieee_utils.h>#define N 100000void testMoments (double (*f) (void), const char *name, double a, double b, double p);void testPDF (double (*f) (void), double (*pdf)(double), const char *name);void testDiscretePDF (double (*f) (void), double (*pdf)(unsigned int), const char *name);void test_shuffle (void);void test_choose (void);double test_beta (void);double test_beta_pdf (double x);double test_bernoulli (void);double test_bernoulli_pdf (unsigned int n);double test_binomial (void);double test_binomial_pdf (unsigned int n);double test_binomial_large (void);double test_binomial_large_pdf (unsigned int n);double test_cauchy (void);double test_cauchy_pdf (double x);double test_chisq (void);double test_chisq_pdf (double x);double test_discrete1 (void);double test_discrete1_pdf (unsigned int n);double test_discrete2 (void);double test_discrete2_pdf (unsigned int n);double test_erlang (void);double test_erlang_pdf (double x);double test_exponential (void);double test_exponential_pdf (double x);double test_exppow0 (void);double test_exppow0_pdf (double x);double test_exppow1 (void);double test_exppow1_pdf (double x);double test_exppow1a (void);double test_exppow1a_pdf (double x);double test_exppow2 (void);double test_exppow2_pdf (double x);double test_exppow2a (void);double test_exppow2a_pdf (double x);double test_fdist (void);double test_fdist_pdf (double x);double test_flat (void);double test_flat_pdf (double x);double test_gamma (void);double test_gamma_pdf (double x);double test_gamma1 (void);double test_gamma1_pdf (double x);double test_gamma_int (void);double test_gamma_int_pdf (double x);double test_gamma_large (void);double test_gamma_large_pdf (double x);double test_gaussian (void);double test_gaussian_pdf (double x);double test_gaussian_ratio_method (void);double test_gaussian_ratio_method_pdf (double x);double test_gaussian_tail (void);double test_gaussian_tail_pdf (double x);double test_gaussian_tail1 (void);double test_gaussian_tail1_pdf (double x);double test_gaussian_tail2 (void);double test_gaussian_tail2_pdf (double x);double test_ugaussian (void);double test_ugaussian_pdf (double x);double test_ugaussian_ratio_method (void);double test_ugaussian_ratio_method_pdf (double x);double test_ugaussian_tail (void);double test_ugaussian_tail_pdf (double x);double test_bivariate_gaussian1 (void);double test_bivariate_gaussian1_pdf (double x);double test_bivariate_gaussian2 (void);double test_bivariate_gaussian2_pdf (double x);double test_bivariate_gaussian3 (void);double test_bivariate_gaussian3_pdf (double x);double test_bivariate_gaussian4 (void);double test_bivariate_gaussian4_pdf (double x);double test_gumbel1 (void);double test_gumbel1_pdf (double x);double test_gumbel2 (void);double test_gumbel2_pdf (double x);double test_geometric (void);double test_geometric_pdf (unsigned int x);double test_geometric1 (void);double test_geometric1_pdf (unsigned int x);double test_hypergeometric1 (void);double test_hypergeometric1_pdf (unsigned int x);double test_hypergeometric2 (void);double test_hypergeometric2_pdf (unsigned int x);double test_hypergeometric3 (void);double test_hypergeometric3_pdf (unsigned int x);double test_hypergeometric4 (void);double test_hypergeometric4_pdf (unsigned int x);double test_hypergeometric5 (void);double test_hypergeometric5_pdf (unsigned int x);double test_hypergeometric6 (void);double test_hypergeometric6_pdf (unsigned int x);double test_landau (void);double test_landau_pdf (double x);double test_levy1 (void);double test_levy1_pdf (double x);double test_levy2 (void);double test_levy2_pdf (double x);double test_levy1a (void);double test_levy1a_pdf (double x);double test_levy2a (void);double test_levy2a_pdf (double x);double test_levy_skew1 (void);double test_levy_skew1_pdf (double x);double test_levy_skew2 (void);double test_levy_skew2_pdf (double x);double test_levy_skew1a (void);double test_levy_skew1a_pdf (double x);double test_levy_skew2a (void);double test_levy_skew2a_pdf (double x);double test_levy_skew1b (void);double test_levy_skew1b_pdf (double x);double test_levy_skew2b (void);double test_levy_skew2b_pdf (double x);double test_logistic (void);double test_logistic_pdf (double x);double test_lognormal (void);double test_lognormal_pdf (double x);double test_logarithmic (void);double test_logarithmic_pdf (unsigned int n);double test_negative_binomial (void);double test_negative_binomial_pdf (unsigned int n);double test_pascal (void);double test_pascal_pdf (unsigned int n);double test_pareto (void);double test_pareto_pdf (double x);double test_poisson (void);double test_poisson_pdf (unsigned int x);double test_poisson_large (void);double test_poisson_large_pdf (unsigned int x);double test_dir2d (void);double test_dir2d_pdf (double x);double test_dir2d_trig_method (void);double test_dir2d_trig_method_pdf (double x);double test_dir3dxy (void);double test_dir3dxy_pdf (double x);double test_dir3dyz (void);double test_dir3dyz_pdf (double x);double test_dir3dzx (void);double test_dir3dzx_pdf (double x);double test_rayleigh (void);double test_rayleigh_pdf (double x);double test_rayleigh_tail (void);double test_rayleigh_tail_pdf (double x);double test_tdist1 (void);double test_tdist1_pdf (double x);double test_tdist2 (void);double test_tdist2_pdf (double x);double test_laplace (void);double test_laplace_pdf (double x);double test_weibull (void);double test_weibull_pdf (double x);double test_weibull1 (void);double test_weibull1_pdf (double x);gsl_rng *r_global;intmain (void){ gsl_ieee_env_setup (); gsl_rng_env_setup() ; r_global = gsl_rng_alloc (gsl_rng_default);#define FUNC(x) test_ ## x, "test gsl_ran_" #x#define FUNC2(x) test_ ## x, test_ ## x ## _pdf, "test gsl_ran_" #x test_shuffle() ; test_choose() ; testMoments (FUNC (ugaussian), 0.0, 100.0, 0.5); testMoments (FUNC (ugaussian), -1.0, 1.0, 0.6826895); testMoments (FUNC (ugaussian), 3.0, 3.5, 0.0011172689); testMoments (FUNC (ugaussian_tail), 3.0, 3.5, 0.0011172689/0.0013498981); testMoments (FUNC (exponential), 0.0, 1.0, 1- exp(-0.5)); testMoments (FUNC (cauchy), 0.0, 10000.0, 0.5); testMoments (FUNC (discrete1), -0.5, 0.5, 0.59 ); testMoments (FUNC (discrete1), 0.5, 1.5, 0.40 ); testMoments (FUNC (discrete1), 1.5, 3.5, 0.01 ); testPDF (FUNC2(beta)); testPDF (FUNC2(cauchy)); testPDF (FUNC2(chisq)); testPDF (FUNC2(erlang)); testPDF (FUNC2(exponential)); testPDF (FUNC2(exppow0)); testPDF (FUNC2(exppow1)); testPDF (FUNC2(exppow1a)); testPDF (FUNC2(exppow2)); testPDF (FUNC2(exppow2a)); testPDF (FUNC2(fdist)); testPDF (FUNC2(flat)); testPDF (FUNC2(gamma)); testPDF (FUNC2(gamma1)); testPDF (FUNC2(gamma_int)); testPDF (FUNC2(gamma_large)); testPDF (FUNC2(gaussian)); testPDF (FUNC2(gaussian_ratio_method)); testPDF (FUNC2(ugaussian)); testPDF (FUNC2(ugaussian_ratio_method)); testPDF (FUNC2(gaussian_tail)); testPDF (FUNC2(gaussian_tail1)); testPDF (FUNC2(gaussian_tail2)); testPDF (FUNC2(ugaussian_tail)); testPDF (FUNC2(bivariate_gaussian1)); testPDF (FUNC2(bivariate_gaussian2)); testPDF (FUNC2(bivariate_gaussian3)); testPDF (FUNC2(bivariate_gaussian4)); testPDF (FUNC2(gumbel1)); testPDF (FUNC2(gumbel2)); testPDF (FUNC2(landau)); testPDF (FUNC2(levy1)); testPDF (FUNC2(levy2)); testPDF (FUNC2(levy1a)); testPDF (FUNC2(levy2a)); testPDF (FUNC2(levy_skew1)); testPDF (FUNC2(levy_skew2)); testPDF (FUNC2(levy_skew1a)); testPDF (FUNC2(levy_skew2a)); testPDF (FUNC2(levy_skew1b)); testPDF (FUNC2(levy_skew2b)); testPDF (FUNC2(logistic)); testPDF (FUNC2(lognormal)); testPDF (FUNC2(pareto)); testPDF (FUNC2(rayleigh)); testPDF (FUNC2(rayleigh_tail)); testPDF (FUNC2(tdist1)); testPDF (FUNC2(tdist2)); testPDF (FUNC2(laplace)); testPDF (FUNC2(weibull)); testPDF (FUNC2(weibull1)); testPDF (FUNC2(dir2d)); testPDF (FUNC2(dir2d_trig_method)); testPDF (FUNC2(dir3dxy)); testPDF (FUNC2(dir3dyz)); testPDF (FUNC2(dir3dzx)); testDiscretePDF (FUNC2(discrete1)); testDiscretePDF (FUNC2(discrete2)); testDiscretePDF (FUNC2(poisson)); testDiscretePDF (FUNC2(poisson_large)); testDiscretePDF (FUNC2(bernoulli)); testDiscretePDF (FUNC2(binomial)); testDiscretePDF (FUNC2(binomial_large)); testDiscretePDF (FUNC2(geometric)); testDiscretePDF (FUNC2(geometric1)); testDiscretePDF (FUNC2(hypergeometric1)); testDiscretePDF (FUNC2(hypergeometric2)); testDiscretePDF (FUNC2(hypergeometric3)); testDiscretePDF (FUNC2(hypergeometric4)); testDiscretePDF (FUNC2(hypergeometric5)); testDiscretePDF (FUNC2(hypergeometric6)); testDiscretePDF (FUNC2(logarithmic)); testDiscretePDF (FUNC2(negative_binomial)); testDiscretePDF (FUNC2(pascal)); exit (gsl_test_summary());}voidtest_shuffle (void){ double count[10][10] ; int x[10] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9} ; int i, j, status = 0; for (i = 0; i < 10; i++) { for (j = 0; j < 10; j++) { count[i][j] = 0 ; } } for (i = 0 ; i < N; i++) { for (j = 0; j < 10; j++) x[j] = j ; gsl_ran_shuffle (r_global, x, 10, sizeof(int)) ; for (j = 0; j < 10; j++) count[x[j]][j] ++ ; } for (i = 0; i < 10; i++) { for (j = 0; j < 10; j++) { double expected = N / 10.0 ; double d = fabs(count[i][j] - expected); double sigma = d / sqrt(expected) ; if (sigma > 5 && d > 1) { status = 1 ; gsl_test (status, "gsl_ran_shuffle %d,%d (%g observed vs %g expected)", i, j, count[i][j]/N, 0.1) ; } } } gsl_test (status, "gsl_ran_shuffle on {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}") ;}voidtest_choose (void){ double count[10] ; int x[10] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9} ; int y[3] = {0, 1, 2} ; int i, j, status = 0; for (i = 0; i < 10; i++) { count[i] = 0 ; } for (i = 0 ; i < N; i++) { for (j = 0; j < 10; j++) x[j] = j ; gsl_ran_choose (r_global, y, 3, x, 10, sizeof(int)) ; for (j = 0; j < 3; j++) count[y[j]]++ ; } for (i = 0; i < 10; i++) { double expected = 3.0 * N / 10.0 ; double d = fabs(count[i] - expected); double sigma = d / sqrt(expected) ; if (sigma > 5 && d > 1) { status = 1 ; gsl_test (status, "gsl_ran_choose %d (%g observed vs %g expected)", i, count[i]/N, 0.1) ; } } gsl_test (status, "gsl_ran_choose (3) on {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}") ;}voidtestMoments (double (*f) (void), const char *name, double a, double b, double p){ int i; double count = 0, expected, sigma; int status; for (i = 0; i < N; i++) { double r = f (); if (r < b && r > a) count++; } expected = p * N; sigma = fabs (count - expected) / sqrt (expected); status = (sigma > 3); gsl_test (status, "%s [%g,%g] (%g observed vs %g expected)", name, a, b, count / N, p);}#define BINS 100voidtestPDF (double (*f) (void), double (*pdf)(double), const char *name){ double count[BINS], p[BINS]; double a = -5.0, b = +5.0 ; double dx = (b - a) / BINS ; int i,j,status = 0, status_i =0 ; for (i = 0; i < BINS; i++) count[i] = 0 ; for (i = 0; i < N; i++) { double r = f (); if (r < b && r > a) { j = (int)((r - a)/dx) ; count[j]++; } } for (i = 0; i < BINS; i++) { /* Compute an approximation to the integral of p(x) from x to x+dx using Simpson's rule */ double x = a + i * dx ;#define STEPS 100 double sum = 0 ; if (fabs(x) < 1e-10) /* hit the origin exactly */ x = 0.0 ; for (j = 1; j < STEPS; j++) sum += pdf(x + j * dx / STEPS) ; p[i] = 0.5 * (pdf(x) + 2*sum + pdf(x + dx - 1e-7)) * dx / STEPS ; } for (i = 0; i < BINS; i++) { double x = a + i * dx ; double d = fabs(count[i] - N*p[i]) ; if (p[i] != 0) { double s = d / sqrt(N*p[i]) ; status_i = (s > 5) && (d > 1) ; } else { status_i = (count[i] != 0) ; } status |= status_i ; if (status_i) gsl_test (status_i, "%s [%g,%g) (%g/%d=%g observed vs %g expected)", name, x, x+dx, count[i],N,count[i]/N, p[i]) ; } if (status == 0) gsl_test (status, "%s, sampling against pdf over range [%g,%g) ", name, a, b) ;}voidtestDiscretePDF (double (*f) (void), double (*pdf)(unsigned int), const char *name){ double count[BINS], p[BINS]; unsigned int i ; int status = 0, status_i =0 ; for (i = 0; i < BINS; i++) count[i] = 0 ; for (i = 0; i < N; i++) { int r = (int)(f ()); if (r>= 0 && r < BINS) count[r]++; } for (i = 0; i < BINS; i++) p[i] = pdf(i) ; for (i = 0; i < BINS; i++) { double d = fabs(count[i] - N*p[i]) ; if (p[i] != 0) { double s = d/sqrt(N*p[i]) ; status_i = (s > 5) && (d > 1); } else { status_i = (count[i] != 0) ; } status |= status_i ; if (status_i) gsl_test (status_i, "%s i=%d (%g observed vs %g expected)", name, i, count[i]/N, p[i]) ; } if (status == 0) gsl_test (status, "%s, sampling against pdf over range [%d,%d) ", name, 0, BINS) ;} doubletest_beta (void){ return gsl_ran_beta (r_global, 2.0, 3.0);}doubletest_beta_pdf (double x){ return gsl_ran_beta_pdf (x, 2.0, 3.0);}doubletest_bernoulli (void){ return gsl_ran_bernoulli (r_global, 0.3);}doubletest_bernoulli_pdf (unsigned int n){ return gsl_ran_bernoulli_pdf (n, 0.3);}doubletest_binomial (void){ return gsl_ran_binomial (r_global, 0.3, 5);}doubletest_binomial_pdf (unsigned int n){ return gsl_ran_binomial_pdf (n, 0.3, 5);}doubletest_binomial_large (void){ return gsl_ran_binomial (r_global, 0.3, 55);}doubletest_binomial_large_pdf (unsigned int n){ return gsl_ran_binomial_pdf (n, 0.3, 55);}doubletest_cauchy (void){ return gsl_ran_cauchy (r_global, 2.0);}doubletest_cauchy_pdf (double x){ return gsl_ran_cauchy_pdf (x, 2.0);}doubletest_chisq (void){ return gsl_ran_chisq (r_global, 13.0);}doubletest_chisq_pdf (double x){ return gsl_ran_chisq_pdf (x, 13.0);}doubletest_dir2d (void){ double x=0, y=0, theta; gsl_ran_dir_2d (r_global, &x, &y); theta = atan2(x,y); return theta;}doubletest_dir2d_pdf (double x){ if (x > -M_PI && x <= M_PI) { return 1 / (2 * M_PI) ; } else { return 0 ; }}doubletest_dir2d_trig_method (void){ double x=0, y=0, theta; gsl_ran_dir_2d_trig_method (r_global, &x, &y); theta = atan2(x,y); return theta;}doubletest_dir2d_trig_method_pdf (double x){ if (x > -M_PI && x <= M_PI) { return 1 / (2 * M_PI) ; } else { return 0 ; }}doubletest_dir3dxy (void){ double x=0, y=0, z=0, theta; gsl_ran_dir_3d (r_global, &x, &y, &z); theta = atan2(x,y); return theta;}doubletest_dir3dxy_pdf (double x){ if (x > -M_PI && x <= M_PI) { return 1 / (2 * M_PI) ; } else { return 0 ; }}doubletest_dir3dyz (void){ double x=0, y=0, z=0, theta; gsl_ran_dir_3d (r_global, &x, &y, &z); theta = atan2(y,z); return theta;}doubletest_dir3dyz_pdf (double x){ if (x > -M_PI && x <= M_PI) { return 1 / (2 * M_PI) ; } else { return 0 ; }}doubletest_dir3dzx (void){ double x=0, y=0, z=0, theta; gsl_ran_dir_3d (r_global, &x, &y, &z); theta = atan2(z,x); return theta;}doubletest_dir3dzx_pdf (double x){ if (x > -M_PI && x <= M_PI) { return 1 / (2 * M_PI) ; } else { return 0 ; }}static gsl_ran_discrete_t *g1 = NULL;static gsl_ran_discrete_t *g2 = NULL;doubletest_discrete1 (void){ static double P[3]={0.59, 0.4, 0.01}; if (g1==NULL) { g1 = gsl_ran_discrete_preproc(3,P); } return gsl_ran_discrete(r_global,g1);}double test_discrete1_pdf (unsigned int n){ return gsl_ran_discrete_pdf((size_t)n,g1);}doubletest_discrete2 (void){ static double P[10]={ 1, 9, 3, 4, 5, 8, 6, 7, 2, 0 }; if (g2==NULL) { g2 = gsl_ran_discrete_preproc(10,P); } return gsl_ran_discrete(r_global,g2);}double test_discrete2_pdf (unsigned int n){ return gsl_ran_discrete_pdf((size_t)n,g2);} doubletest_erlang (void){ return gsl_ran_erlang (r_global, 3.0, 4.0);}doubletest_erlang_pdf (double x){ return gsl_ran_erlang_pdf (x, 3.0, 4.0);}doubletest_exponential (void){ return gsl_ran_exponential (r_global, 2.0);}doubletest_exponential_pdf (double x)
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