update tests

Author: adamhaber

test/integration/good/function-signatures/distributions/pretty.expected

@@ -27,6 +27,11 @@ generated quantities {
   array[3] int N;
   array[3] int latent_states;
   matrix[3, 3] latent_states_prob;
+  matrix[2, 3] d_x_m = [[1, 2, 3], [4, 5, 6]];
+  row_vector[3] d_x_rv = [1, 2, 3];
+  vector[3] d_beta_v = [1, 2, 3]';
+  real d_alpha = 3;
+  vector[2] d_alpha_v = [0.5, 0.6]';
   n = bernoulli_logit_rng(0.0);
   N = bernoulli_logit_rng(alpha);
   N = bernoulli_logit_rng(nu);
@@ -1729,5 +1734,9 @@ generated quantities {
   N = discrete_range_rng(n, N);
   N = discrete_range_rng(N, n);
   N = discrete_range_rng(N, N);
+  N = bernoulli_logit_glm_rng(d_x_m, d_alpha, d_beta_v);
+  N = bernoulli_logit_glm_rng(d_x_m, d_alpha_v, d_beta_v);
+  N = bernoulli_logit_glm_rng(d_x_rv, d_alpha, d_beta_v);
+  N = bernoulli_logit_glm_rng(d_x_rv, d_alpha_v, d_beta_v);
 }
 

test/integration/good/function-signatures/distributions/rngs.stan

@@ -26,6 +26,11 @@ generated quantities {
   int N[3];
   int latent_states[3];
   matrix[3, 3] latent_states_prob;
+  matrix[2, 3] d_x_m = [[1, 2, 3], [4, 5, 6]];
+  row_vector[3] d_x_rv = [1, 2, 3];
+  vector[3] d_beta_v = [1, 2, 3]';
+  real d_alpha = 3;
+  vector[2] d_alpha_v = [0.5, 0.6]';
   n = bernoulli_logit_rng(0.0);
   N = bernoulli_logit_rng(alpha);
   N = bernoulli_logit_rng(nu);
@@ -1728,5 +1733,10 @@ generated quantities {
   N = discrete_range_rng(n, N);
   N = discrete_range_rng(N, n);
   N = discrete_range_rng(N, N);
+  N = bernoulli_logit_glm_rng(d_x_m, d_alpha, d_beta_v);
+  N = bernoulli_logit_glm_rng(d_x_m, d_alpha_v, d_beta_v);
+  N = bernoulli_logit_glm_rng(d_x_rv, d_alpha, d_beta_v);
+  N = bernoulli_logit_glm_rng(d_x_rv, d_alpha_v, d_beta_v);
+
 }
 

test/integration/good/function-signatures/distributions/univariate/discrete/bernoulli/bernoulli_logit_glm.stan

@@ -36,11 +36,4 @@ transformed parameters {
 model {
   y_p ~ normal(0, 1);
 }
-generated quantities {
-  int y_gen_ar[N];
-  y_gen_ar = bernoulli_logit_glm_rng(d_x_m, d_alpha, d_beta_v);
-  y_gen_ar = bernoulli_logit_glm_rng(d_x_m, d_alpha_v, d_beta_v);
-  y_gen_ar = bernoulli_logit_glm_rng(d_x_rv, d_alpha, d_beta_v);
-  y_gen_ar = bernoulli_logit_glm_rng(d_x_rv, d_alpha_v, d_beta_v);
-}
 

test/integration/good/function-signatures/distributions/univariate/discrete/bernoulli/pretty.expected

@@ -177,7 +177,6 @@ transformed data {
   real transformed_data_real;
   transformed_data_real = bernoulli_logit_glm_lpmf(d_y_a | d_x_m, d_alpha, d_beta_v);
   transformed_data_real = bernoulli_logit_glm_lpmf(d_y_a | d_x_m, d_alpha_v, d_beta_v);
-  transformed_data_real = bernoulli_logit_glm_lpmf(d_y_a | d_x_m, d_alpha_v, d_beta_v);
   transformed_data_real = bernoulli_logit_glm_lpmf(d_y | d_x_m, d_alpha, d_beta_v);
   transformed_data_real = bernoulli_logit_glm_lpmf(d_y | d_x_m, d_alpha_v, d_beta_v);
   transformed_data_real = bernoulli_logit_glm_lpmf(d_y_a | d_x_rv, d_alpha, d_beta_v);