squiggle.c

Self-contained Monte Carlo estimation in C99
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commit 84399e60a2833ee7ff59c05477a57780d71ff11e
parent ef40ef5ae78a807b1c8a6e9be3a9fd18e26e4dca
Author: NunoSempere <nuno.sempere@protonmail.com>
Date:   Mon, 24 Jul 2023 00:15:05 +0200

formatting pass

Diffstat:
Mexamples/08_nuclear_war/example.c | 27+++++++++++++--------------
1 file changed, 13 insertions(+), 14 deletions(-)

diff --git a/examples/08_nuclear_war/example.c b/examples/08_nuclear_war/example.c @@ -1,6 +1,6 @@ #include "../../squiggle.h" -#include <stdint.h> #include <math.h> +#include <stdint.h> #include <stdio.h> #include <stdlib.h> @@ -9,7 +9,7 @@ double probability_of_dying_nuno(uint64_t* seed) double first_year_russian_nuclear_weapons = 1953; double current_year = 2022; double laplace_probability_nuclear_exchange_year = sample_beta(1, current_year - first_year_russian_nuclear_weapons + 1, seed); - double laplace_probability_nuclear_exchange_month = 1 - pow(1-laplace_probability_nuclear_exchange_year,(1.0/12.0)) ; + double laplace_probability_nuclear_exchange_month = 1 - pow(1 - laplace_probability_nuclear_exchange_year, (1.0 / 12.0)); double london_hit_conditional_on_russia_nuclear_weapon_usage = sample_beta(7.67, 69.65, seed); // I.e., a beta distribution with a range of 0.05 to 0.16 into: https://nunosempere.com/blog/2023/03/15/fit-beta/ @@ -34,9 +34,10 @@ double probability_of_dying_eli(uint64_t* seed) return probability_of_dying; } -double mixture(uint64_t* seed){ - double (*samplers[])(uint64_t*) = {probability_of_dying_nuno, probability_of_dying_eli}; - double weights[] = {0.5, 0.5}; +double mixture(uint64_t* seed) +{ + double (*samplers[])(uint64_t*) = { probability_of_dying_nuno, probability_of_dying_eli }; + double weights[] = { 0.5, 0.5 }; return sample_mixture(samplers, weights, 2, seed); } @@ -47,23 +48,21 @@ int main() *seed = 1000; // xorshift can't start with 0 int n = 1000 * 1000; - double* mixture_result = malloc(sizeof(double) * n); - for(int i=0; i<n; i++){ - mixture_result[i] = mixture(seed); + for (int i = 0; i < n; i++) { + mixture_result[i] = mixture(seed); } - + printf("mixture_result: [ "); - for(int i=0; i<9; i++){ - printf("%.6f, ", mixture_result[i]); + for (int i = 0; i < 9; i++) { + printf("%.6f, ", mixture_result[i]); } printf("... ]\n"); - - struct c_i c_i_90 = get_90_confidence_interval(mixture, seed); + + struct c_i c_i_90 = get_90_confidence_interval(mixture, seed); printf("mean: %f\n", array_mean(mixture_result, n)); printf("90%% confidence interval: [%f, %f]\n", c_i_90.low, c_i_90.high); - free(seed); }