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

Author: stan-buildbot

stan/math/fwd/fun/pow.hpp

@@ -21,7 +21,10 @@ inline fvar<T> pow(const fvar<T>& x1, const fvar<T>& x2) {
   using std::pow;
   T pow_x1_x2(pow(x1.val_, x2.val_));
   if (value_of(x1) == 0.0) {
-    return fvar<T>(pow_x1_x2, std::numeric_limits<double>::quiet_NaN()); // partials zero, avoids log(0) & /0
+    return fvar<T>(
+        pow_x1_x2,
+        std::numeric_limits<double>::quiet_NaN());  // partials zero, avoids
+                                                    // log(0) & /0
   }
   return fvar<T>(pow_x1_x2, (x2.d_ * log(x1.val_) + x2.val_ * x1.d_ / x1.val_)
                                 * pow_x1_x2);
@@ -33,7 +36,9 @@ inline fvar<T> pow(U x1, const fvar<T>& x2) {
   using std::pow;
   T u = pow(x1, x2.val_);
   if (x1 == 0.0) {
-    return fvar<T>(u, std::numeric_limits<double>::quiet_NaN()); // partials undefined, avoids log(0)
+    return fvar<T>(
+        u, std::numeric_limits<double>::quiet_NaN());  // partials undefined,
+                                                       // avoids log(0)
   }
   return fvar<T>(u, x2.d_ * log(x1) * u);
 }
@@ -61,7 +66,10 @@ inline fvar<T> pow(const fvar<T>& x1, U x2) {
     return square(x1);
   }
   if (x2 == 0.0) {
-    return fvar<T>(pow(x1.val_, x2), std::numeric_limits<double>::quiet_NaN()); // partials undefined, avoid pow(0,-1)
+    return fvar<T>(
+        pow(x1.val_, x2),
+        std::numeric_limits<double>::quiet_NaN());  // partials undefined, avoid
+                                                    // pow(0,-1)
   }
   return fvar<T>(pow(x1.val_, x2), x1.d_ * x2 * pow(x1.val_, x2 - 1));
 }

stan/math/rev/fun/pow.hpp

@@ -87,13 +87,12 @@ inline var pow(const Scal1& base, const Scal2& exponent) {
   return make_callback_var(
       std::pow(value_of(base), value_of(exponent)),
       [base, exponent](auto&& vi) mutable {
-        if (value_of(base) == 0.0) { // partials zero, avoids 0 & log(0)
-            if(value_of(exponent) == 0.0)
-            {
-                forward_as<var>(base).adj()
-                        += std::numeric_limits<double>::quiet_NaN();
-                return;
-            }
+        if (value_of(base) == 0.0) {  // partials zero, avoids 0 & log(0)
+          if (value_of(exponent) == 0.0) {
+            forward_as<var>(base).adj()
+                += std::numeric_limits<double>::quiet_NaN();
+            return;
+          }
           return;
         }
         const double vi_mul = vi.adj() * vi.val();