[Jenkins] auto-formatting by clang-format version 10.0.0-4ubuntu1

Author: stan-buildbot

stan/math/prim/fun/poisson_binomial_log_probs.hpp

@@ -24,8 +24,8 @@ namespace math {
  */
 template <typename T_theta, typename T_scalar = scalar_type_t<T_theta>,
           require_vector_t<T_theta>* = nullptr>
-Eigen::Matrix<T_scalar, -1, 1>
-  poisson_binomial_log_probs(int y, const T_theta& theta) {
+Eigen::Matrix<T_scalar, -1, 1> poisson_binomial_log_probs(
+    int y, const T_theta& theta) {
   int size_theta = theta.size();
   plain_type_t<T_theta> log_theta = log(theta);
   plain_type_t<T_theta> log1m_theta = log1m(theta);

stan/math/prim/fun/vector_seq_view.hpp

@@ -9,13 +9,13 @@ namespace stan {
 namespace internal {
 template <typename T>
 using is_matrix_or_std_vector
-  = math::disjunction<is_matrix<T>, is_std_vector<T>>;
+    = math::disjunction<is_matrix<T>, is_std_vector<T>>;
 
 template <typename T>
 using is_scalar_container = math::disjunction<
-  is_matrix<T>,
-  math::conjunction<is_std_vector<T>, is_stan_scalar<value_type_t<T>>>>;
-}
+    is_matrix<T>,
+    math::conjunction<is_std_vector<T>, is_stan_scalar<value_type_t<T>>>>;
+}  // namespace internal
 
 /**
  * This class provides a low-cost wrapper for situations where you either need

test/unit/math/prim/prob/poisson_binomial_test.cpp

@@ -7,8 +7,8 @@
 
 TEST(ProbDistributionsPoissonBinomial, lpmf_length_0_length_1) {
   using stan::math::poisson_binomial_lpmf;
-  using stan::math::to_row_vector;
   using stan::math::to_array_1d;
+  using stan::math::to_row_vector;
 
   Eigen::VectorXd v0(0);
   Eigen::VectorXd v1(1);
@@ -23,8 +23,8 @@ TEST(ProbDistributionsPoissonBinomial, lpmf_length_0_length_1) {
 }
 TEST(ProbDistributionsPoissonBinomial, lpmf_length_0_length_1_vectorial_y) {
   using stan::math::poisson_binomial_lpmf;
-  using stan::math::to_row_vector;
   using stan::math::to_array_1d;
+  using stan::math::to_row_vector;
 
   Eigen::VectorXd v0(0);
   Eigen::VectorXd v1(1);
@@ -58,8 +58,8 @@ TEST(ProbDistributionsPoissonBinomial, lpmf_works_on_scalar_arguments) {
 
 TEST(ProbDistributionsPoissonBinomial, lpmf_works_on_vectorial_y) {
   using stan::math::poisson_binomial_lpmf;
-  using stan::math::to_row_vector;
   using stan::math::to_array_1d;
+  using stan::math::to_row_vector;
   using vec = Eigen::Matrix<double, Eigen::Dynamic, 1>;
 
   vec p(3, 1);
@@ -73,8 +73,8 @@ TEST(ProbDistributionsPoissonBinomial, lpmf_works_on_vectorial_y) {
 
 TEST(ProbDistributionsPoissonBinomial, lpmf_works_on_vectorial_y_and_theta) {
   using stan::math::poisson_binomial_lpmf;
-  using stan::math::to_row_vector;
   using stan::math::to_array_1d;
+  using stan::math::to_row_vector;
   using vec = Eigen::Matrix<double, Eigen::Dynamic, 1>;
 
   vec p(3, 1);