From 88e998edce330f7fc07ea66414ad1a5ffeabea09 Mon Sep 17 00:00:00 2001
From: NunoSempere <nuno.sempere@protonmail.com>
Date: Sun, 23 Jul 2023 15:44:22 +0200
Subject: [PATCH] formatting pass.

---
 test/test.c | 454 ++++++++++++++++++++++++++--------------------------
 1 file changed, 229 insertions(+), 225 deletions(-)

diff --git a/test/test.c b/test/test.c
index 67de207..70ea1f9 100644
--- a/test/test.c
+++ b/test/test.c
@@ -1,280 +1,284 @@
 #include "../squiggle.h"
-#include <stdint.h>
 #include <math.h>
-#include <stdlib.h>
+#include <stdint.h>
 #include <stdio.h>
+#include <stdlib.h>
 
-#define PERCENTAGE_TOLERANCE 1.0/1000.0
-#define PERCENTAGE_TOLERANCE_LOGNORMAL 5.0/1000.0
+#define PERCENTAGE_TOLERANCE 1.0 / 1000.0
+#define PERCENTAGE_TOLERANCE_LOGNORMAL 5.0 / 1000.0
 #define MAX_NAME_LENGTH 500
 
 // Structs
 
 struct array_expectations {
-	double* array;
-	int n;
-	char* name;
-	double expected_mean;
-	double expected_std;
-	double tolerance;
+    double* array;
+    int n;
+    char* name;
+    double expected_mean;
+    double expected_std;
+    double tolerance;
 };
 
-void test_array_expectations(struct array_expectations e){
-	double mean = array_mean(e.array, e.n);
-	double delta_mean = mean - e.expected_mean;
+void test_array_expectations(struct array_expectations e)
+{
+    double mean = array_mean(e.array, e.n);
+    double delta_mean = mean - e.expected_mean;
 
-	double std = array_std(e.array, e.n);
-	double delta_std = std - e.expected_std;
-	
+    double std = array_std(e.array, e.n);
+    double delta_std = std - e.expected_std;
 
-	if(fabs(delta_mean)/fabs(mean) > e.tolerance){
-		printf("[-] Mean test for %s NOT passed.\n", e.name);
-		printf("Mean of %s: %f, vs expected mean: %f\n", e.name, mean, e.expected_mean);
-		printf("delta: %f, relative delta: %f\n", delta_mean, delta_mean/fabs(mean));
-	}else {
-		printf("[x] Mean test for %s PASSED\n", e.name);
-	}
+    if (fabs(delta_mean) / fabs(mean) > e.tolerance) {
+        printf("[-] Mean test for %s NOT passed.\n", e.name);
+        printf("Mean of %s: %f, vs expected mean: %f\n", e.name, mean, e.expected_mean);
+        printf("delta: %f, relative delta: %f\n", delta_mean, delta_mean / fabs(mean));
+    } else {
+        printf("[x] Mean test for %s PASSED\n", e.name);
+    }
 
-	if(fabs(delta_std)/fabs(std) > e.tolerance){
-		printf("[-] Std test for %s NOT passed.\n", e.name);
-		printf("Std of %s: %f, vs expected std: %f\n", e.name, std, e.expected_std);
-		printf("delta: %f, relative delta: %f\n", delta_std, delta_std/fabs(std));
-	}else {
-		printf("[x] Std test for %s PASSED\n", e.name);
-	}
-	
-	printf("\n");
+    if (fabs(delta_std) / fabs(std) > e.tolerance) {
+        printf("[-] Std test for %s NOT passed.\n", e.name);
+        printf("Std of %s: %f, vs expected std: %f\n", e.name, std, e.expected_std);
+        printf("delta: %f, relative delta: %f\n", delta_std, delta_std / fabs(std));
+    } else {
+        printf("[x] Std test for %s PASSED\n", e.name);
+    }
 
+    printf("\n");
 }
 
 // Test unit uniform
-void test_unit_uniform(uint64_t* seed){
-	int n = 1000 * 1000;
-	double* unit_uniform_array = malloc(sizeof(double) * n);
-	
-	for(int i=0; i<n; i++){
-		unit_uniform_array[i] = sample_unit_uniform(seed);
-	}
+void test_unit_uniform(uint64_t* seed)
+{
+    int n = 1000 * 1000;
+    double* unit_uniform_array = malloc(sizeof(double) * n);
 
-	struct array_expectations expectations = {
-		.array = unit_uniform_array,
-		.n = n,
-		.name = "unit uniform",
-		.expected_mean = 0.5,
-		.expected_std = sqrt(1.0/12.0),
-		.tolerance = 1 * PERCENTAGE_TOLERANCE,
-	};
+    for (int i = 0; i < n; i++) {
+        unit_uniform_array[i] = sample_unit_uniform(seed);
+    }
 
-	test_array_expectations(expectations);
-	free(unit_uniform_array);
+    struct array_expectations expectations = {
+        .array = unit_uniform_array,
+        .n = n,
+        .name = "unit uniform",
+        .expected_mean = 0.5,
+        .expected_std = sqrt(1.0 / 12.0),
+        .tolerance = 1 * PERCENTAGE_TOLERANCE,
+    };
+
+    test_array_expectations(expectations);
+    free(unit_uniform_array);
 }
 
 // Test uniforms
-void test_uniform(double start, double end, uint64_t* seed){
-	int n = 1000 * 1000;
-	double* uniform_array = malloc(sizeof(double) * n);
-	
-	for(int i=0; i<n; i++){
-		uniform_array[i] = sample_uniform(start, end, seed);
-	}
-	
-	char* name = malloc(MAX_NAME_LENGTH * sizeof(char));
-	snprintf(name, MAX_NAME_LENGTH, "[%f, %f] uniform", start, end);
-	struct array_expectations expectations = {
-		.array = uniform_array,
-		.n = n,
-		.name = name,
-		.expected_mean = (start + end)/2,
-		.expected_std = sqrt(1.0/12.0) * fabs(end-start),
-		.tolerance = fabs(end -start) * PERCENTAGE_TOLERANCE,
-	};
+void test_uniform(double start, double end, uint64_t* seed)
+{
+    int n = 1000 * 1000;
+    double* uniform_array = malloc(sizeof(double) * n);
 
-	test_array_expectations(expectations);
-	free(name);
-	free(uniform_array);
+    for (int i = 0; i < n; i++) {
+        uniform_array[i] = sample_uniform(start, end, seed);
+    }
+
+    char* name = malloc(MAX_NAME_LENGTH * sizeof(char));
+    snprintf(name, MAX_NAME_LENGTH, "[%f, %f] uniform", start, end);
+    struct array_expectations expectations = {
+        .array = uniform_array,
+        .n = n,
+        .name = name,
+        .expected_mean = (start + end) / 2,
+        .expected_std = sqrt(1.0 / 12.0) * fabs(end - start),
+        .tolerance = fabs(end - start) * PERCENTAGE_TOLERANCE,
+    };
+
+    test_array_expectations(expectations);
+    free(name);
+    free(uniform_array);
 }
 
 // Test unit normal
-void test_unit_normal(uint64_t* seed){
-	int n = 1000 * 1000;
-	double* unit_normal_array = malloc(sizeof(double) * n);
-	
-	for(int i=0; i<n; i++){
-		unit_normal_array[i] = sample_unit_normal(seed);
-	}
+void test_unit_normal(uint64_t* seed)
+{
+    int n = 1000 * 1000;
+    double* unit_normal_array = malloc(sizeof(double) * n);
 
-	struct array_expectations expectations = {
-		.array = unit_normal_array,
-		.n = n,
-		.name = "unit normal",
-		.expected_mean = 0,
-		.expected_std = 1, 
-		.tolerance = 1 * PERCENTAGE_TOLERANCE,
-	};
+    for (int i = 0; i < n; i++) {
+        unit_normal_array[i] = sample_unit_normal(seed);
+    }
 
-	test_array_expectations(expectations);
-	free(unit_normal_array);
+    struct array_expectations expectations = {
+        .array = unit_normal_array,
+        .n = n,
+        .name = "unit normal",
+        .expected_mean = 0,
+        .expected_std = 1,
+        .tolerance = 1 * PERCENTAGE_TOLERANCE,
+    };
+
+    test_array_expectations(expectations);
+    free(unit_normal_array);
 }
 
 // Test normal
-void test_normal(double mean, double std, uint64_t* seed){
-	int n = 10 * 1000 * 1000;
-	double* normal_array = malloc(sizeof(double) * n);
-	
-	for(int i=0; i<n; i++){
-		normal_array[i] = sample_normal(mean, std, seed);
-	}
-	
-	char* name = malloc(MAX_NAME_LENGTH * sizeof(char));
-	snprintf(name, MAX_NAME_LENGTH, "normal(%f, %f)", mean, std);
-	struct array_expectations expectations = {
-		.array = normal_array,
-		.n = n,
-		.name = name,
-		.expected_mean = mean,
-		.expected_std = std,
-		.tolerance = std * PERCENTAGE_TOLERANCE,
-	};
+void test_normal(double mean, double std, uint64_t* seed)
+{
+    int n = 10 * 1000 * 1000;
+    double* normal_array = malloc(sizeof(double) * n);
 
-	test_array_expectations(expectations);
-	free(name);
-	free(normal_array);
+    for (int i = 0; i < n; i++) {
+        normal_array[i] = sample_normal(mean, std, seed);
+    }
+
+    char* name = malloc(MAX_NAME_LENGTH * sizeof(char));
+    snprintf(name, MAX_NAME_LENGTH, "normal(%f, %f)", mean, std);
+    struct array_expectations expectations = {
+        .array = normal_array,
+        .n = n,
+        .name = name,
+        .expected_mean = mean,
+        .expected_std = std,
+        .tolerance = std * PERCENTAGE_TOLERANCE,
+    };
+
+    test_array_expectations(expectations);
+    free(name);
+    free(normal_array);
 }
 
 // Test lognormal
-void test_lognormal(double logmean, double logstd, uint64_t* seed){
-	int n = 10 * 1000 * 1000;
-	double* lognormal_array = malloc(sizeof(double) * n);
-	
-	for(int i=0; i<n; i++){
-		lognormal_array[i] = sample_lognormal(logmean, logstd, seed);
-	}
-	
-	char* name = malloc(MAX_NAME_LENGTH * sizeof(char));
-	snprintf(name, MAX_NAME_LENGTH, "lognormal(%f, %f)", logmean, logstd);
-	struct array_expectations expectations = {
-		.array = lognormal_array,
-		.n = n,
-		.name = name,
-		.expected_mean = exp(logmean + pow(logstd, 2)/2),
-		.expected_std = sqrt((exp(pow(logstd, 2)) - 1) * exp(2*logmean + pow(logstd, 2))),
-		.tolerance = exp(logstd) * PERCENTAGE_TOLERANCE_LOGNORMAL,
-	};
+void test_lognormal(double logmean, double logstd, uint64_t* seed)
+{
+    int n = 10 * 1000 * 1000;
+    double* lognormal_array = malloc(sizeof(double) * n);
 
-	test_array_expectations(expectations);
-	free(name);
-	free(lognormal_array);
+    for (int i = 0; i < n; i++) {
+        lognormal_array[i] = sample_lognormal(logmean, logstd, seed);
+    }
+
+    char* name = malloc(MAX_NAME_LENGTH * sizeof(char));
+    snprintf(name, MAX_NAME_LENGTH, "lognormal(%f, %f)", logmean, logstd);
+    struct array_expectations expectations = {
+        .array = lognormal_array,
+        .n = n,
+        .name = name,
+        .expected_mean = exp(logmean + pow(logstd, 2) / 2),
+        .expected_std = sqrt((exp(pow(logstd, 2)) - 1) * exp(2 * logmean + pow(logstd, 2))),
+        .tolerance = exp(logstd) * PERCENTAGE_TOLERANCE_LOGNORMAL,
+    };
+
+    test_array_expectations(expectations);
+    free(name);
+    free(lognormal_array);
 }
 
 // Test beta
 
-void test_beta(double a, double b, uint64_t* seed){
-	int n = 10 * 1000 * 1000;
-	double* beta_array = malloc(sizeof(double) * n);
-	
-	for(int i=0; i<n; i++){
-		beta_array[i] = sample_beta(a, b, seed);
-	}
-	
-	char* name = malloc(MAX_NAME_LENGTH * sizeof(char));
-	snprintf(name, MAX_NAME_LENGTH, "beta(%f, %f)", a, b);
-	struct array_expectations expectations = {
-		.array = beta_array,
-		.n = n,
-		.name = name,
-		.expected_mean = a/(a+b),
-		.expected_std = sqrt((a*b)/(pow(a+b, 2) * (a + b + 1))),
-		.tolerance = PERCENTAGE_TOLERANCE,
-	};
+void test_beta(double a, double b, uint64_t* seed)
+{
+    int n = 10 * 1000 * 1000;
+    double* beta_array = malloc(sizeof(double) * n);
 
-	test_array_expectations(expectations);
-	free(name);
+    for (int i = 0; i < n; i++) {
+        beta_array[i] = sample_beta(a, b, seed);
+    }
+
+    char* name = malloc(MAX_NAME_LENGTH * sizeof(char));
+    snprintf(name, MAX_NAME_LENGTH, "beta(%f, %f)", a, b);
+    struct array_expectations expectations = {
+        .array = beta_array,
+        .n = n,
+        .name = name,
+        .expected_mean = a / (a + b),
+        .expected_std = sqrt((a * b) / (pow(a + b, 2) * (a + b + 1))),
+        .tolerance = PERCENTAGE_TOLERANCE,
+    };
+
+    test_array_expectations(expectations);
+    free(name);
 }
 
-int main(){
+int main()
+{
     // set randomness seed
     uint64_t* seed = malloc(sizeof(uint64_t));
     *seed = 1000; // xorshift can't start with a seed of 0
-   	/*
-		printf("Testing unit uniform\n");
-		test_unit_uniform(seed);
 
-		printf("Testing small uniforms\n");
-		for(int i=0; i<100; i++){
-			double start = sample_uniform(-10, 10, seed);
-			double end = sample_uniform(-10, 10, seed);
-			if ( end > start){
-				test_uniform(start, end, seed);
-			}
-		}
+    printf("Testing unit uniform\n");
+    test_unit_uniform(seed);
 
-		printf("Testing wide uniforms\n");
-		for(int i=0; i<100; i++){
-			double start = sample_uniform(-1000 * 1000, 1000 * 1000, seed);
-			double end = sample_uniform(-1000 * 1000, 1000 * 1000, seed);
-			if ( end > start){
-				test_uniform(start, end, seed);
-			}
-		}
+    printf("Testing small uniforms\n");
+    for (int i = 0; i < 100; i++) {
+        double start = sample_uniform(-10, 10, seed);
+        double end = sample_uniform(-10, 10, seed);
+        if (end > start) {
+            test_uniform(start, end, seed);
+        }
+    }
 
-		printf("Testing unit normal\n");
-		test_unit_normal(seed);
-		
-		printf("Testing small normals\n");
-		for(int i=0; i<100; i++){
-			double mean = sample_uniform(-10, 10, seed);
-			double std = sample_uniform(0, 10, seed);
-			if ( std > 0){
-				test_normal(mean, std, seed);
-			}
-		}
+    printf("Testing wide uniforms\n");
+    for (int i = 0; i < 100; i++) {
+        double start = sample_uniform(-1000 * 1000, 1000 * 1000, seed);
+        double end = sample_uniform(-1000 * 1000, 1000 * 1000, seed);
+        if (end > start) {
+            test_uniform(start, end, seed);
+        }
+    }
 
-		printf("Testing larger normals\n");
-		for(int i=0; i<100; i++){
-			double mean = sample_uniform(-1000 * 1000, 1000 * 1000, seed);
-			double std = sample_uniform(0, 1000 * 1000, seed);
-			if ( std > 0){
-				test_normal(mean, std, seed);
-			}
-		}
-		*/
-		printf("Testing very small lognormals\n");
-		for(int i=0; i<10; i++){
-			double mean = sample_uniform(-1, 1, seed);
-			double std = sample_uniform(0, 1, seed);
-			if ( std > 0){
-				test_lognormal(mean, std, seed);
-			}
-		}
+    printf("Testing unit normal\n");
+    test_unit_normal(seed);
 
-		printf("Testing small lognormals\n");
-		for(int i=0; i<10; i++){
-			double mean = sample_uniform(-1, 5, seed);
-			double std = sample_uniform(0, 5, seed);
-			if ( std > 0){
-				test_lognormal(mean, std, seed);
-			}
-		}
-		/*
-		printf("Testing beta distribution\n");
-		for(int i=0; i<100; i++){
-			double a = sample_uniform(0, 1000, seed);
-			double b = sample_uniform(0, 1000, seed);
-			if ( (a > 0) && ( b >0)){
-				test_beta(a, b, seed);
-			}
-		}
+    printf("Testing small normals\n");
+    for (int i = 0; i < 100; i++) {
+        double mean = sample_uniform(-10, 10, seed);
+        double std = sample_uniform(0, 10, seed);
+        if (std > 0) {
+            test_normal(mean, std, seed);
+        }
+    }
 
-		printf("Testing larger beta distributions\n");
-		for(int i=0; i<100; i++){
-			double a = sample_uniform(0, 1000 * 1000, seed);
-			double b = sample_uniform(0, 1000 * 1000, seed);
-			if ( (a > 0) && ( b >0)){
-				test_beta(a, b, seed);
-			}
-		}
+    printf("Testing larger normals\n");
+    for (int i = 0; i < 100; i++) {
+        double mean = sample_uniform(-1000 * 1000, 1000 * 1000, seed);
+        double std = sample_uniform(0, 1000 * 1000, seed);
+        if (std > 0) {
+            test_normal(mean, std, seed);
+        }
+    }
 
-		free(seed);
-		*/
+    printf("Testing very small lognormals\n");
+    for (int i = 0; i < 10; i++) {
+        double mean = sample_uniform(-1, 1, seed);
+        double std = sample_uniform(0, 1, seed);
+        if (std > 0) {
+            test_lognormal(mean, std, seed);
+        }
+    }
+
+    printf("Testing small lognormals\n");
+    for (int i = 0; i < 10; i++) {
+        double mean = sample_uniform(-1, 5, seed);
+        double std = sample_uniform(0, 5, seed);
+        if (std > 0) {
+            test_lognormal(mean, std, seed);
+        }
+    }
+
+    printf("Testing beta distribution\n");
+    for (int i = 0; i < 100; i++) {
+        double a = sample_uniform(0, 1000, seed);
+        double b = sample_uniform(0, 1000, seed);
+        if ((a > 0) && (b > 0)) {
+            test_beta(a, b, seed);
+        }
+    }
+
+    printf("Testing larger beta distributions\n");
+    for (int i = 0; i < 100; i++) {
+        double a = sample_uniform(0, 1000 * 1000, seed);
+        double b = sample_uniform(0, 1000 * 1000, seed);
+        if ((a > 0) && (b > 0)) {
+            test_beta(a, b, seed);
+        }
+    }
+
+    free(seed);
 }
-