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

Author: stan-buildbot

stan/math/prim/prob/wiener4_lccdf_unnorm.hpp

@@ -324,7 +324,8 @@ inline auto wiener_lccdf_unnorm(const T_y& y, const T_a& a, const T_t0& t0,
     const auto new_est_err
         = log_ccdf_single_value + log_error_derivative - LOG_FOUR;
 
-    if constexpr (!is_constant_all<T_y>::value || !is_constant_all<T_t0>::value) {
+    if constexpr (!is_constant_all<T_y>::value
+                  || !is_constant_all<T_t0>::value) {
       const auto deriv_y = internal::estimate_with_err_check<5, 0>(
           [](auto&&... args) {
             return internal::wiener5_density<GradientCalc::ON>(args...);

stan/math/prim/prob/wiener4_lcdf_unnorm.hpp

@@ -682,7 +682,8 @@ inline auto wiener_lcdf_unnorm(const T_y& y, const T_a& a, const T_t0& t0,
 
     const auto new_est_err = log_cdf + log_error_derivative - LOG_FOUR;
 
-    if constexpr (!is_constant_all<T_y>::value || !is_constant_all<T_t0>::value) {
+    if constexpr (!is_constant_all<T_y>::value
+                  || !is_constant_all<T_t0>::value) {
       const auto deriv_y
           = internal::estimate_with_err_check<5, 0, GradientCalc::OFF,
                                               GradientCalc::ON>(

stan/math/prim/prob/wiener_full_lccdf_unnorm.hpp

@@ -120,7 +120,7 @@ inline auto wiener_lccdf_unnorm(const T_y& y, const T_a& a, const T_t0& t0,
   auto st0_val = to_ref(as_value_column_array_or_scalar(st0_ref));
 
   if constexpr (!include_summand<propto, T_y, T_a, T_v, T_w, T_t0, T_sv, T_sw,
-                       T_st0>::value) {
+                                 T_st0>::value) {
     return ret_t(0.0);
   }
 
@@ -269,7 +269,8 @@ inline auto wiener_lccdf_unnorm(const T_y& y, const T_a& a, const T_t0& t0,
     // the value as deriv_t to edge1 and as -deriv_t to edge5
 
     // computation of derivatives and precision checks
-    if constexpr (!is_constant_all<T_y>::value || !is_constant_all<T_t0>::value) {
+    if constexpr (!is_constant_all<T_y>::value
+                  || !is_constant_all<T_t0>::value) {
       const T_partials_return deriv_t_7
           = -internal::wiener7_integrate_cdf<
                 GradientCalc::OFF, GradientCalc::OFF, GradientCalc::OFF,

stan/math/prim/prob/wiener_full_lcdf_unnorm.hpp

@@ -296,7 +296,7 @@ inline auto wiener_lcdf_unnorm(const T_y& y, const T_a& a, const T_t0& t0,
   auto st0_val = to_ref(as_value_column_array_or_scalar(st0_ref));
 
   if constexpr (!include_summand<propto, T_y, T_a, T_v, T_w, T_t0, T_sv, T_sw,
-                       T_st0>::value) {
+                                 T_st0>::value) {
     return ret_t(0);
   }
 
@@ -446,7 +446,8 @@ inline auto wiener_lcdf_unnorm(const T_y& y, const T_a& a, const T_t0& t0,
     // computation of derivative for t and precision check in order to give
     // the value as deriv_t to edge1 and as -deriv_t to edge5
 
-    if constexpr (!is_constant_all<T_y>::value || !is_constant_all<T_t0>::value) {
+    if constexpr (!is_constant_all<T_y>::value
+                  || !is_constant_all<T_t0>::value) {
       T_partials_return deriv_t_7
           = internal::wiener7_integrate_cdf<
                 GradientCalc::OFF, GradientCalc::OFF, GradientCalc::OFF,

stan/math/prim/prob/wiener_full_lpdf.hpp

@@ -353,7 +353,7 @@ inline auto wiener_lpdf(const T_y& y, const T_a& a, const T_t0& t0,
   auto st0_val = to_ref(as_value_column_array_or_scalar(st0_ref));
 
   if constexpr (!include_summand<propto, T_y, T_a, T_v, T_w, T_t0, T_sv, T_sw,
-                       T_st0>::value) {
+                                 T_st0>::value) {
     return ret_t(0);
   }
 

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

@@ -309,4 +309,3 @@ TEST(mathPrimScalProbWienerFullLccdfPrecScal, invalid_st0) {
   EXPECT_THROW(wiener_lccdf_unnorm(rt, a, t0, w, v, sv, sw, NAN, 1e-4),
                std::domain_error);
 }
-