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Nicusor Serban
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Merge branch 'develop' into release/v4.7.0
2 parents adbf09b + bdf281f commit 37df357

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104 files changed

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‎stan/math/fwd/fun/mdivide_left.hpp

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@@ -60,9 +60,6 @@ template <typename T1, typename T2,
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inline Eigen::Matrix<value_type_t<T2>, T1::RowsAtCompileTime,
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T2::ColsAtCompileTime>
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mdivide_left(const T1& A, const T2& b) {
63-
constexpr int S1 = T1::RowsAtCompileTime;
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constexpr int C2 = T2::ColsAtCompileTime;
65-
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check_square("mdivide_left", "A", A);
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check_multiplicable("mdivide_left", "A", A, "b", b);
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if (A.size() == 0) {

‎stan/math/fwd/fun/mdivide_left_tri_low.hpp

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@@ -56,7 +56,6 @@ inline Eigen::Matrix<value_type_t<T2>, T1::RowsAtCompileTime,
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T2::ColsAtCompileTime>
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mdivide_left_tri_low(const T1& A, const T2& b) {
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constexpr int S1 = T1::RowsAtCompileTime;
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constexpr int C2 = T2::ColsAtCompileTime;
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check_square("mdivide_left_tri_low", "A", A);
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check_multiplicable("mdivide_left_tri_low", "A", A, "b", b);

‎stan/math/fwd/fun/mdivide_right.hpp

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@@ -97,7 +97,6 @@ inline Eigen::Matrix<value_type_t<EigMat2>, EigMat1::RowsAtCompileTime,
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mdivide_right(const EigMat1& A, const EigMat2& b) {
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using T = typename value_type_t<EigMat2>::Scalar;
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constexpr int R1 = EigMat1::RowsAtCompileTime;
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constexpr int C1 = EigMat1::ColsAtCompileTime;
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constexpr int R2 = EigMat2::RowsAtCompileTime;
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constexpr int C2 = EigMat2::ColsAtCompileTime;
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‎stan/math/fwd/fun/mdivide_right_tri_low.hpp

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@@ -98,7 +98,6 @@ inline Eigen::Matrix<value_type_t<EigMat2>, EigMat1::RowsAtCompileTime,
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mdivide_right_tri_low(const EigMat1& A, const EigMat2& b) {
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using T = typename value_type_t<EigMat2>::Scalar;
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constexpr int R1 = EigMat1::RowsAtCompileTime;
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constexpr int C1 = EigMat1::ColsAtCompileTime;
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constexpr int R2 = EigMat2::RowsAtCompileTime;
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constexpr int C2 = EigMat2::ColsAtCompileTime;
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check_square("mdivide_right_tri_low", "b", b);

‎stan/math/opencl/kernel_generator/broadcast.hpp

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@@ -98,7 +98,6 @@ class broadcast_
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* @return pair of indices - bottom and top diagonal
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*/
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inline std::pair<int, int> extreme_diagonals() const {
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int bottom, top;
102101
std::pair<int, int> arg_diags
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= this->template get_arg<0>().extreme_diagonals();
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return {Colwise ? std::numeric_limits<int>::min() : arg_diags.first,

‎stan/math/opencl/mrrr.hpp

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@@ -373,7 +373,6 @@ inline void mrrr_cl(const Eigen::Ref<const Eigen::VectorXd> diagonal,
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cluster_end--; // now this is the index of the last element of the
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// cluster
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if (cluster_end > i) { // cluster
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double_d a = high[cluster_end - 1], b = low[cluster_end];
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double_d max_shift
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= (high[cluster_end - 1] - low[cluster_end]) / min_rel_sep;
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double_d next_shift;
@@ -396,7 +395,6 @@ inline void mrrr_cl(const Eigen::Ref<const Eigen::VectorXd> diagonal,
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i = cluster_end;
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} else { // isolated eigenvalue
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int twist_idx;
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const double_d low_gap
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= i == block.start
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? double_d(std::numeric_limits<double>::infinity())

‎stan/math/opencl/prim/bernoulli_cdf.hpp

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@@ -33,7 +33,6 @@ return_type_t<T_prob_cl> bernoulli_cdf(const T_n_cl& n,
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using T_partials_return = partials_return_t<T_prob_cl>;
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using std::isnan;
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constexpr bool is_n_vector = !is_stan_scalar<T_n_cl>::value;
36-
constexpr bool is_theta_vector = !is_stan_scalar<T_prob_cl>::value;
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check_consistent_sizes(function, "Random variable", n,
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"Probability parameter", theta);

‎stan/math/opencl/prim/bernoulli_lccdf.hpp

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@@ -34,7 +34,6 @@ return_type_t<T_prob_cl> bernoulli_lccdf(const T_n_cl& n,
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using T_partials_return = partials_return_t<T_prob_cl>;
3535
using std::isnan;
3636
constexpr bool is_n_vector = !is_stan_scalar<T_n_cl>::value;
37-
constexpr bool is_theta_vector = !is_stan_scalar<T_prob_cl>::value;
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check_consistent_sizes(function, "Random variable", n,
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"Probability parameter", theta);

‎stan/math/opencl/prim/bernoulli_lcdf.hpp

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@@ -34,7 +34,6 @@ return_type_t<T_prob_cl> bernoulli_lcdf(const T_n_cl& n,
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using T_partials_return = partials_return_t<T_prob_cl>;
3535
using std::isnan;
3636
constexpr bool is_n_vector = !is_stan_scalar<T_n_cl>::value;
37-
constexpr bool is_theta_vector = !is_stan_scalar<T_prob_cl>::value;
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check_consistent_sizes(function, "Random variable", n,
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"Probability parameter", theta);

‎stan/math/opencl/prim/bernoulli_logit_lpmf.hpp

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@@ -32,7 +32,6 @@ return_type_t<T_prob_cl> bernoulli_logit_lpmf(const T_n_cl& n,
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using T_partials_return = partials_return_t<T_prob_cl>;
3333
using std::isnan;
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constexpr bool is_n_vector = !is_stan_scalar<T_n_cl>::value;
35-
constexpr bool is_theta_vector = !is_stan_scalar<T_prob_cl>::value;
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3736
check_consistent_sizes(function, "Random variable", n,
3837
"Probability parameter", theta);

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