fix: reorder headers to fix compilation error

examples/01_one_sample/example.c

@@ -1,7 +1,7 @@
 #include "../../squiggle.h"
 #include <stdint.h>
-#include <stdlib.h>
 #include <stdio.h>
+#include <stdlib.h>
 
 // Estimate functions
 double sample_0(uint64_t* seed)
@@ -24,10 +24,11 @@ double sample_many(uint64_t* seed)
     return sample_to(2, 10, seed);
 }
 
-int main(){
+int main()
+{
     // set randomness seed
-		uint64_t* seed = malloc(sizeof(uint64_t));
-		*seed = 1000; // xorshift can't start with 0
+    uint64_t* seed = malloc(sizeof(uint64_t));
+    *seed = 1000; // xorshift can't start with 0
 
     double p_a = 0.8;
     double p_b = 0.5;
@@ -38,6 +39,6 @@ int main(){
     double (*samplers[])(uint64_t*) = { sample_0, sample_1, sample_few, sample_many };
 
     double result_one = sample_mixture(samplers, weights, n_dists, seed);
-		printf("result_one: %f\n", result_one);
-		free(seed);
+    printf("result_one: %f\n", result_one);
+    free(seed);
 }

examples/03_gcc_nested_function/example.c

@@ -1,12 +1,13 @@
-#include <stdint.h>
-#include <stdlib.h>
-#include <stdio.h>
 #include "../../squiggle.h"
+#include <stdint.h>
+#include <stdio.h>
+#include <stdlib.h>
 
-int main(){
+int main()
+{
     // set randomness seed
-		uint64_t* seed = malloc(sizeof(uint64_t));
-		*seed = 1000; // xorshift can't start with 0
+    uint64_t* seed = malloc(sizeof(uint64_t));
+    *seed = 1000; // xorshift can't start with 0
 
     double p_a = 0.8;
     double p_b = 0.5;
@@ -14,25 +15,24 @@ int main(){
 
     int n_dists = 4;
 
-		double sample_0(uint64_t* seed){ return 0; }
-		double sample_1(uint64_t* seed) { return 1; }
-		double sample_few(uint64_t* seed){ return sample_to(1, 3, seed); }
-		double sample_many(uint64_t* seed){ return sample_to(2, 10, seed); } 
+    double sample_0(uint64_t * seed) { return 0; }
+    double sample_1(uint64_t * seed) { return 1; }
+    double sample_few(uint64_t * seed) { return sample_to(1, 3, seed); }
+    double sample_many(uint64_t * seed) { return sample_to(2, 10, seed); }
 
     double (*samplers[])(uint64_t*) = { sample_0, sample_1, sample_few, sample_many };
-		double weights[] = { 1 - p_c, p_c / 2, p_c / 4, p_c / 4 };
+    double weights[] = { 1 - p_c, p_c / 2, p_c / 4, p_c / 4 };
 
-		int n_samples = 1000000;
-		double* result_many = (double *) malloc(n_samples * sizeof(double));
-		for(int i=0; i<n_samples; i++){
-      result_many[i] = sample_mixture(samplers, weights, n_dists, seed);
-		}
+    int n_samples = 1000000;
+    double* result_many = (double*)malloc(n_samples * sizeof(double));
+    for (int i = 0; i < n_samples; i++) {
+        result_many[i] = sample_mixture(samplers, weights, n_dists, seed);
+    }
 
-		printf("result_many: [");
-		for(int i=0; i<100; i++){
-		  printf("%.2f, ", result_many[i]);
-		}
-		printf("]\n");
-		free(seed);
+    printf("result_many: [");
+    for (int i = 0; i < 100; i++) {
+        printf("%.2f, ", result_many[i]);
+    }
+    printf("]\n");
+    free(seed);
 }
-

examples/04_sample_from_cdf_simple/example.c

@@ -88,7 +88,7 @@ int main()
     printf("\nGetting some samples from sample_unit_normal\n");
 
     clock_t begin_2 = clock();
-		double* normal_samples = malloc(NUM_SAMPLES * sizeof(double));
+    double* normal_samples = malloc(NUM_SAMPLES * sizeof(double));
     for (int i = 0; i < NUM_SAMPLES; i++) {
         normal_samples[i] = sample_unit_normal(seed);
         // printf("%f\n", normal_sample);

examples/06_gamma_beta/example.c

@@ -11,8 +11,8 @@ int main()
     uint64_t* seed = malloc(sizeof(uint64_t));
     *seed = 1000; // xorshift can't start with 0
 
-    int n =  1000 * 1000;
-		/*
+    int n = 1000 * 1000;
+    /*
 		for (int i = 0; i < n; i++) {
         double gamma_0 = sample_gamma(0.0, seed);
         // printf("sample_gamma(0.0): %f\n", gamma_0);
@@ -20,26 +20,25 @@ int main()
 		printf("\n");
 		*/
 
-		double* gamma_1_array = malloc(sizeof(double) * n);
+    double* gamma_1_array = malloc(sizeof(double) * n);
     for (int i = 0; i < n; i++) {
         double gamma_1 = sample_gamma(1.0, seed);
         // printf("sample_gamma(1.0): %f\n", gamma_1);
-				gamma_1_array[i] = gamma_1;
+        gamma_1_array[i] = gamma_1;
     }
-		printf("gamma(1) summary statistics = mean: %f, std: %f\n", array_mean(gamma_1_array, n), array_std(gamma_1_array, n));
-		free(gamma_1_array);
-		printf("\n");
+    printf("gamma(1) summary statistics = mean: %f, std: %f\n", array_mean(gamma_1_array, n), array_std(gamma_1_array, n));
+    free(gamma_1_array);
+    printf("\n");
 
-		double* beta_1_2_array = malloc(sizeof(double) * n);
-		for (int i = 0; i < n; i++) {
+    double* beta_1_2_array = malloc(sizeof(double) * n);
+    for (int i = 0; i < n; i++) {
         double beta_1_2 = sample_beta(1, 2.0, seed);
         // printf("sample_beta(1.0, 2.0): %f\n", beta_1_2);
-				beta_1_2_array[i] = beta_1_2;
+        beta_1_2_array[i] = beta_1_2;
     }
-		printf("beta(1,2) summary statistics: mean: %f, std: %f\n", array_mean(beta_1_2_array, n), array_std(beta_1_2_array, n));
-		free(beta_1_2_array);
-		printf("\n");
+    printf("beta(1,2) summary statistics: mean: %f, std: %f\n", array_mean(beta_1_2_array, n), array_std(beta_1_2_array, n));
+    free(beta_1_2_array);
+    printf("\n");
 
-		free(seed);
+    free(seed);
 }
-

examples/07_ci_beta/example.c

@@ -5,8 +5,9 @@
 #include <stdlib.h>
 
 // Estimate functions
-double beta_1_2_sampler(uint64_t* seed){
-	return sample_beta(1, 2.0, seed);
+double beta_1_2_sampler(uint64_t* seed)
+{
+    return sample_beta(1, 2.0, seed);
 }
 
 int main()
@@ -15,8 +16,8 @@ int main()
     uint64_t* seed = malloc(sizeof(uint64_t));
     *seed = 1000; // xorshift can't start with 0
 
-		ci beta_1_2_ci_90 = get_90_confidence_interval(beta_1_2_sampler, seed);
-		printf("90%% confidence interval of beta(1,2) is [%f, %f]\n", beta_1_2_ci_90.low, beta_1_2_ci_90.high);
+    ci beta_1_2_ci_90 = get_90_confidence_interval(beta_1_2_sampler, seed);
+    printf("90%% confidence interval of beta(1,2) is [%f, %f]\n", beta_1_2_ci_90.low, beta_1_2_ci_90.high);
 
-		free(seed);
+    free(seed);
 }

examples/09_burn_10kg_fat/example.c

@@ -45,7 +45,5 @@ int main()
     ci ci_90 = get_90_confidence_interval(sample_minutes_per_day_jumping_rope_needed_to_burn_10kg, seed);
     printf("90%% confidence interval: [%f, %f]\n", ci_90.low, ci_90.high);
 
-
-
     free(seed);
 }

examples/10_nuclear_recovery/example.c

@@ -7,34 +7,38 @@
 
 double yearly_probability_nuclear_collapse(double year, uint64_t* seed)
 {
-	double successes = 0;
-	double failures = (year - 1960);
-	return sample_laplace(successes, failures, seed); 
-	// ^ can change to (successes + 1)/(trials + 2) 
-	// to get a probability, 
-	// rather than sampling from a distribution over probabilities.
+    double successes = 0;
+    double failures = (year - 1960);
+    return sample_laplace(successes, failures, seed);
+    // ^ can change to (successes + 1)/(trials + 2)
+    // to get a probability,
+    // rather than sampling from a distribution over probabilities.
 }
-double yearly_probability_nuclear_collapse_2023(uint64_t* seed){
-	return yearly_probability_nuclear_collapse(2023, seed);
+double yearly_probability_nuclear_collapse_2023(uint64_t* seed)
+{
+    return yearly_probability_nuclear_collapse(2023, seed);
 }
 
-double yearly_probability_nuclear_collapse_after_recovery(double year, double rebuilding_period_length_years, uint64_t* seed){
-	// assumption: nuclear 
-	double successes = 1.0;
-	double failures = (year - rebuilding_period_length_years - 1960 - 1);
-	return sample_laplace(successes, failures, seed);
+double yearly_probability_nuclear_collapse_after_recovery(double year, double rebuilding_period_length_years, uint64_t* seed)
+{
+    // assumption: nuclear
+    double successes = 1.0;
+    double failures = (year - rebuilding_period_length_years - 1960 - 1);
+    return sample_laplace(successes, failures, seed);
 }
-double yearly_probability_nuclear_collapse_after_recovery_example(uint64_t* seed){
-	double year = 2070;
-	double rebuilding_period_length_years =30;
-	// So, there was a nuclear collapse in 2040, 
-	// then a recovery period of 30 years
-	// and it's now 2070
-	return yearly_probability_nuclear_collapse_after_recovery(year, rebuilding_period_length_years, seed);
+double yearly_probability_nuclear_collapse_after_recovery_example(uint64_t* seed)
+{
+    double year = 2070;
+    double rebuilding_period_length_years = 30;
+    // So, there was a nuclear collapse in 2040,
+    // then a recovery period of 30 years
+    // and it's now 2070
+    return yearly_probability_nuclear_collapse_after_recovery(year, rebuilding_period_length_years, seed);
 }
 
-double yearly_probability_nuclear_collapse_after_recovery_antiinductive(uint64_t* seed){
-	return yearly_probability_nuclear_collapse(2023, seed)/2;
+double yearly_probability_nuclear_collapse_after_recovery_antiinductive(uint64_t* seed)
+{
+    return yearly_probability_nuclear_collapse(2023, seed) / 2;
 }
 
 int main()
@@ -45,8 +49,8 @@ int main()
 
     int num_samples = 1000000;
 
-		// Before a first nuclear collapse
-		printf("## Before the first nuclear collapse\n");
+    // Before a first nuclear collapse
+    printf("## Before the first nuclear collapse\n");
     ci ci_90_2023 = get_90_confidence_interval(yearly_probability_nuclear_collapse_2023, seed);
     printf("90%% confidence interval: [%f, %f]\n", ci_90_2023.low, ci_90_2023.high);
 
@@ -54,10 +58,10 @@ int main()
     for (int i = 0; i < num_samples; i++) {
         yearly_probability_nuclear_collapse_2023_samples[i] = yearly_probability_nuclear_collapse_2023(seed);
     }
-		printf("mean: %f\n", array_mean(yearly_probability_nuclear_collapse_2023_samples, num_samples));
+    printf("mean: %f\n", array_mean(yearly_probability_nuclear_collapse_2023_samples, num_samples));
 
-		// After the first nuclear collapse
-		printf("\n## After the first nuclear collapse\n");
+    // After the first nuclear collapse
+    printf("\n## After the first nuclear collapse\n");
     ci ci_90_2070 = get_90_confidence_interval(yearly_probability_nuclear_collapse_after_recovery_example, seed);
     printf("90%% confidence interval: [%f, %f]\n", ci_90_2070.low, ci_90_2070.high);
 
@@ -65,10 +69,10 @@ int main()
     for (int i = 0; i < num_samples; i++) {
         yearly_probability_nuclear_collapse_after_recovery_samples[i] = yearly_probability_nuclear_collapse_after_recovery_example(seed);
     }
-		printf("mean: %f\n", array_mean(yearly_probability_nuclear_collapse_after_recovery_samples, num_samples));
+    printf("mean: %f\n", array_mean(yearly_probability_nuclear_collapse_after_recovery_samples, num_samples));
 
-		// After the first nuclear collapse (antiinductive)
-		printf("\n## After the first nuclear collapse (antiinductive)\n");
+    // After the first nuclear collapse (antiinductive)
+    printf("\n## After the first nuclear collapse (antiinductive)\n");
     ci ci_90_antiinductive = get_90_confidence_interval(yearly_probability_nuclear_collapse_after_recovery_antiinductive, seed);
     printf("90%% confidence interval: [%f, %f]\n", ci_90_antiinductive.low, ci_90_antiinductive.high);
 
@@ -76,7 +80,7 @@ int main()
     for (int i = 0; i < num_samples; i++) {
         yearly_probability_nuclear_collapse_after_recovery_antiinductive_samples[i] = yearly_probability_nuclear_collapse_after_recovery_antiinductive(seed);
     }
-		printf("mean: %f\n", array_mean(yearly_probability_nuclear_collapse_after_recovery_antiinductive_samples, num_samples));
+    printf("mean: %f\n", array_mean(yearly_probability_nuclear_collapse_after_recovery_antiinductive_samples, num_samples));
 
     free(seed);
 }

examples/12_algebra_and_conversion/example.c

@@ -15,15 +15,15 @@ int main()
     lognormal_params ln1 = { .logmean = 1.0, .logstd = 3.0 };
     ci ln1_ci = convert_lognormal_params_to_ci(ln1);
     printf("The 90%% confidence interval of Lognormal(%f, %f) is [%f, %f]\n",
-           ln1.logmean, ln1.logstd,
-           ln1_ci.low, ln1_ci.high);
+        ln1.logmean, ln1.logstd,
+        ln1_ci.low, ln1_ci.high);
     lognormal_params ln1_ci_paramas = convert_ci_to_lognormal_params(ln1_ci);
     printf("The lognormal which has 90%% confidence interval [%f, %f] is Lognormal(%f, %f)\n",
-           ln1_ci.low, ln1_ci.high,
-           ln1.logmean, ln1.logstd);
+        ln1_ci.low, ln1_ci.high,
+        ln1.logmean, ln1.logstd);
 
-    lognormal_params ln2 = convert_ci_to_lognormal_params((ci){.low = 1, .high = 10});
-    lognormal_params ln3 = convert_ci_to_lognormal_params((ci){.low = 5, .high = 50});
+    lognormal_params ln2 = convert_ci_to_lognormal_params((ci) { .low = 1, .high = 10 });
+    lognormal_params ln3 = convert_ci_to_lognormal_params((ci) { .low = 5, .high = 50 });
 
     lognormal_params sln = algebra_product_lognormals(ln2, ln3);
     ci sln_ci = convert_lognormal_params_to_ci(sln);

examples/13_ergonomic_algebra/example.c

@@ -6,9 +6,9 @@
 #include <stdlib.h>
 
 #define ln lognormal_params
-#define to(...) convert_ci_to_lognormal_params((ci) __VA_ARGS__)
-#define from(...) convert_lognormal_params_to_ci((ln) __VA_ARGS__)
-#define times(a,b) algebra_product_lognormals(a,b)
+#define to(...) convert_ci_to_lognormal_params((ci)__VA_ARGS__)
+#define from(...) convert_lognormal_params_to_ci((ln)__VA_ARGS__)
+#define times(a, b) algebra_product_lognormals(a, b)
 
 int main()
 {
@@ -16,8 +16,8 @@ int main()
     uint64_t* seed = malloc(sizeof(uint64_t));
     *seed = 1000; // xorshift can't start with 0
 
-    ln a = to({.low = 1, .high = 10});
-    ln b = to({.low = 5, .high = 500});
+    ln a = to({ .low = 1, .high = 10 });
+    ln b = to({ .low = 5, .high = 500 });
     ln c = times(a, b);
 
     printf("Result: to(%f, %f)\n", from(c).low, from(c).high);

examples/14_twitter_thread_example/example.c

@@ -4,19 +4,23 @@
 #include <stdio.h>
 #include <stdlib.h>
 
-double sample_0(uint64_t* seed){ 
+double sample_0(uint64_t* seed)
+{
     return 0;
 }
 
-double sample_1(uint64_t* seed){
+double sample_1(uint64_t* seed)
+{
     return 1;
 }
 
-double sample_normal_mean_1_std_2(uint64_t* seed){
+double sample_normal_mean_1_std_2(uint64_t* seed)
+{
     return sample_normal(1, 2, seed);
 }
 
-double sample_1_to_3(uint64_t* seed){
+double sample_1_to_3(uint64_t* seed)
+{
     return sample_to(1, 3, seed);
 }
 

examples/15_plotting-scratchpad/makefile

@@ -0,0 +1,3 @@
+build:
+
+format: 

examples/16_100_lognormal_samples/example.c

@@ -1,17 +1,18 @@
 #include "../../squiggle.h"
 #include <stdint.h>
-#include <stdlib.h>
 #include <stdio.h>
+#include <stdlib.h>
 
 // Estimate functions
-int main(){
+int main()
+{
     // set randomness seed
-	uint64_t* seed = malloc(sizeof(uint64_t));
-	*seed = 1000; // xorshift can't start with 0
+    uint64_t* seed = malloc(sizeof(uint64_t));
+    *seed = 1000; // xorshift can't start with 0
 
-	for(int i=0; i<100; i++){
-	  double sample = sample_lognormal(0,10, seed);
-	  printf("%f\n", sample);
-	}
-	free(seed);
+    for (int i = 0; i < 100; i++) {
+        double sample = sample_lognormal(0, 10, seed);
+        printf("%f\n", sample);
+    }
+    free(seed);
 }

extra.c

@@ -1,3 +1,4 @@
+#include "squiggle.h"
 #include <float.h>
 #include <limits.h>
 #include <math.h>
@@ -6,7 +7,6 @@
 #include <stdlib.h>
 #include <sys/types.h>
 #include <time.h>
-#include "squiggle.h"
 
 // math constants
 #define PI 3.14159265358979323846 // M_PI in gcc gnu99
@@ -58,7 +58,6 @@ ci get_90_confidence_interval(double (*sampler)(uint64_t*), uint64_t* seed)
     return result;
 }
 
-
 // ## Sample from an arbitrary cdf
 struct box {
     int empty;