Update tests

Author: andrjohns

test/unit/math/mix/core/operator_division_test.cpp

@@ -55,8 +55,6 @@ struct operator_divide_tester {
 }  // namespace stan
 
 TEST(mathMixCore, operatorDivisionVarMat) {
-  auto f = [](const auto& x1, const auto& x2) { return x1 / x2; };
-
   Eigen::MatrixXd mat1(2, 2);
   mat1 << -2, -1, 0.5, 2.8;
   Eigen::MatrixXd mat2 = mat1.reverse();

test/unit/math/mix/core/operator_minus_minus_test.cpp

@@ -5,6 +5,8 @@ TEST(mathMixCore, operatorMinusMinusPre1) {
   auto f = [](const auto& x1) {
     auto y = x1;
     auto z = --y;
+    // Suppress unused variable warning
+    z = z + 0;
     return y;
   };
   stan::test::expect_common_unary(f);
@@ -24,6 +26,8 @@ TEST(mathMixCore, operatorMinusMinusPost1) {
   auto f = [](const auto& x1) {
     auto y = x1;
     auto z = y--;
+    // Suppress unused variable warning
+    z = z + 0;
     return y;
   };
   stan::test::expect_common_unary(f);

test/unit/math/mix/core/operator_plus_plus_test.cpp

@@ -5,6 +5,8 @@ TEST(mathMixCore, operatorPlusPlusPre1) {
   auto f = [](const auto& x1) {
     auto y = x1;
     auto z = ++y;
+    // Suppress unused variable warning
+    z = z + 0;
     return y;
   };
   stan::test::expect_common_unary(f);
@@ -24,6 +26,8 @@ TEST(mathMixCore, operatorPlusPlusPost1) {
   auto f = [](const auto& x1) {
     auto y = x1;
     auto z = y++;
+    // Suppress unused variable warning
+    z = z + 0;
     return y;
   };
   stan::test::expect_common_unary(f);

test/unit/math/opencl/rev/add_test.cpp

@@ -50,7 +50,6 @@ TEST(OpenCLPrim, add_m_small_zero) {
   stan::math::test::compare_cpu_opencl_prim_rev(add_functor, d0, d0);
 
   double d3 = 3.0;
-  auto a = stan::math::add(d1, d3);
   stan::math::test::compare_cpu_opencl_prim_rev(add_functor, d1, d3);
   stan::math::test::compare_cpu_opencl_prim_rev(add_functor, d3, d1);
   stan::math::test::compare_cpu_opencl_prim_rev(add_functor, d3, d0);

test/unit/math/opencl/rev/cauchy_cdf_test.cpp

@@ -62,7 +62,6 @@ auto cauchy_cdf_functor = [](const auto& y, const auto& mu, const auto& sigma) {
 
 TEST(ProbDistributionsCauchyCdf, opencl_matches_cpu_small) {
   int N = 3;
-  int M = 2;
 
   Eigen::VectorXd y(N);
   y << 0.3, 0.8, 1.0;
@@ -80,7 +79,6 @@ TEST(ProbDistributionsCauchyCdf, opencl_matches_cpu_small) {
 
 TEST(ProbDistributionsCauchyCdf, opencl_matches_cpu_small_y_neg_inf) {
   int N = 3;
-  int M = 2;
 
   Eigen::VectorXd y(N);
   y << 0.3, -INFINITY, 1.0;

test/unit/math/opencl/rev/dirichlet_lpdf_test.cpp

@@ -76,7 +76,6 @@ auto dirichlet_lpdf_functor_propto = [](const auto& theta, const auto& alpha) {
 
 TEST(ProbDistributionsDirichlet, opencl_matches_cpu_small) {
   int N = 3;
-  int M = 2;
 
   Eigen::VectorXd theta1(N);
   theta1 << 0.5, 0.4, 0.1;

test/unit/math/opencl/rev/exp_mod_normal_lcdf_test.cpp

@@ -88,7 +88,6 @@ auto exp_mod_normal_lcdf_functor
 
 TEST(ProbDistributionsDoubleExpModNormalLcdf, opencl_matches_cpu_small) {
   int N = 3;
-  int M = 2;
 
   Eigen::VectorXd y(N);
   y << -0.3, 1.8, 1.4;
@@ -109,7 +108,6 @@ TEST(ProbDistributionsDoubleExpModNormalLcdf, opencl_matches_cpu_small) {
 TEST(ProbDistributionsDoubleExpModNormalLcdf,
      opencl_matches_cpu_small_y_pos_inf) {
   int N = 3;
-  int M = 2;
 
   Eigen::VectorXd y(N);
   y << -0.3, 1.8, INFINITY;
@@ -130,7 +128,6 @@ TEST(ProbDistributionsDoubleExpModNormalLcdf,
 TEST(ProbDistributionsDoubleExpModNormalLcdf,
      opencl_matches_cpu_small_y_neg_inf) {
   int N = 3;
-  int M = 2;
 
   Eigen::VectorXd y(N);
   y << -0.3, 1.8, -INFINITY;

test/unit/math/opencl/rev/normal_lpdf_test.cpp

@@ -67,7 +67,6 @@ auto normal_lpdf_functor_propto
 
 TEST(ProbDistributionsNormal, opencl_matches_cpu_small) {
   int N = 3;
-  int M = 2;
 
   Eigen::VectorXd y(N);
   y << 0.3, 0.8, 1.0;

test/unit/math/opencl/rev/scaled_inv_chi_square_lpdf_test.cpp

@@ -77,7 +77,6 @@ auto scaled_inv_chi_square_lpdf_functor_propto
 
 TEST(ProbDistributionsScaledInvChiSquare, opencl_matches_cpu_small) {
   int N = 3;
-  int M = 2;
 
   Eigen::VectorXd y(N);
   y << 0.3, 0.8, 1.0;
@@ -100,7 +99,6 @@ TEST(ProbDistributionsScaledInvChiSquare, opencl_matches_cpu_small) {
 
 TEST(ProbDistributionsScaledInvChiSquare, opencl_matches_cpu_small_y_negative) {
   int N = 3;
-  int M = 2;
 
   Eigen::VectorXd y(N);
   y << 0.3, -0.8, 1.0;

test/unit/math/opencl/rev/student_t_lpdf_test.cpp

@@ -91,7 +91,6 @@ auto student_t_lpdf_functor_propto
 
 TEST(ProbDistributionsStudentT, opencl_matches_cpu_small) {
   int N = 3;
-  int M = 2;
 
   Eigen::VectorXd y(N);
   y << 0.3, -0.8, 1.0;