Add 'libgomp.c++/target-valarray-1.C'

	libgomp/
	* testsuite/libgomp.c++/target-std__valarray-1.C: New.
	* testsuite/libgomp.c++/target-std__valarray-1.output: Likewise.

(cherry picked from commit 2ffada0296c95898a68bdb67ced738fe788df93a)

2 files changed, 201 insertions, 0 deletions

diff --git a/libgomp/testsuite/libgomp.c++/target-std__valarray-1.C b/libgomp/testsuite/libgomp.c++/target-std__valarray-1.C
new file mode 100644
index 0000000..865cde2
--- /dev/null
+++ b/libgomp/testsuite/libgomp.c++/target-std__valarray-1.C
@@ -0,0 +1,179 @@
+// { dg-additional-options -std=c++20 }
+// { dg-output-file target-std__valarray-1.output }
+
+#include <valarray>
+#include <ostream>
+#include <sstream>
+
+
+/*TODO Work around PR118484 "ICE during IPA pass: cp, segfault in determine_versionability ipa-cp.cc:467".
+
+We can't:
+
+    #pragma omp declare target(std::basic_streambuf<char, std::char_traits<char>>::basic_streambuf)
+
+... because:
+
+    error: overloaded function name ‘std::basic_streambuf<char>::__ct ’ in clause ‘enter’
+
+Therefore, use dummy classes in '#pragma omp declare target':
+*/
+
+#pragma omp declare target
+
+// For 'std::basic_streambuf<char, std::char_traits<char> >::basic_streambuf':
+
+class dummy_basic_streambuf__char
+  : public std::basic_streambuf<char>
+{
+public:
+  dummy_basic_streambuf__char() {}
+};
+
+// For 'std::basic_ios<char, std::char_traits<char> >::basic_ios()':
+
+class dummy_basic_ios__char
+  : public std::basic_ios<char>
+{
+public:
+  dummy_basic_ios__char() {}
+};
+
+#pragma omp end declare target
+
+
+int main()
+{
+  // Due to PR120021 "Offloading vs. C++ 'std::initializer_list'", we can't construct these on the device.
+  std::initializer_list<int> v1_i = {10, 20, 30, 40, 50};
+  const int *v1_i_data = std::data(v1_i);
+  size_t v1_i_size = v1_i.size();
+  std::initializer_list<int> v2_i = {5, 4, 3, 2, 1};
+  const int *v2_i_data = std::data(v2_i);
+  size_t v2_i_size = v2_i.size();
+  std::initializer_list<int> shiftData_i = {1, 2, 3, 4, 5};
+  const int *shiftData_i_data = std::data(shiftData_i);
+  size_t shiftData_i_size = shiftData_i.size();
+#pragma omp target \
+  defaultmap(none) \
+  map(to: v1_i_data[:v1_i_size], v1_i_size, \
+          v2_i_data[:v2_i_size], v2_i_size, \
+          shiftData_i_data[:shiftData_i_size], shiftData_i_size)
+  {
+    /* Manually set up a buffer we can stream into, similar to 'cout << [...]', and print it at the end of region.  */
+    std::stringbuf out_b;
+    std::ostream out(&out_b);
+
+    std::valarray<int> v1(v1_i_data, v1_i_size);
+    out << "\nv1:";
+    for (auto val : v1)
+      out << " " << val;
+
+    std::valarray<int> v2(v2_i_data, v2_i_size);
+    out << "\nv2:";
+    for (auto val : v2)
+      out << " " << val;
+
+    std::valarray<int> sum = v1 + v2;
+    out << "\nv1 + v2:";
+    for (auto val : sum)
+      out << " " << val;
+
+    std::valarray<int> diff = v1 - v2;
+    out << "\nv1 - v2:";
+    for (auto val : diff)
+      out << " " << val;
+
+    std::valarray<int> product = v1 * v2;
+    out << "\nv1 * v2:";
+    for (auto val : product)
+      out << " " << val;
+
+    std::valarray<int> quotient = v1 / v2;
+    out << "\nv1 / v2:";
+    for (auto val : quotient)
+      out << " " << val;
+
+    std::valarray<int> squares = pow(v1, 2);
+    out << "\npow(v1, 2):";
+    for (auto val : squares)
+      out << " " << val;
+
+    std::valarray<int> sinhs = sinh(v2);
+    out << "\nsinh(v2):";
+    for (auto val : sinhs)
+      out << " " << val;
+
+    std::valarray<int> logs = log(v1 * v2);
+    out << "\nlog(v1 * v2):";
+    for (auto val : logs)
+      out << " " << val;
+
+    std::valarray<int> data(12);
+    for (size_t i = 0; i < data.size(); ++i)
+      data[i] = i;
+    out << "\nOriginal array:";
+    for (auto val : data)
+      out << " " << val;
+
+    std::slice slice1(2, 5, 1);
+    std::valarray<int> sliced1 = data[slice1];
+    out << "\nSlice(2, 5, 1):";
+    for (auto val : sliced1)
+      out << " " << val;
+
+    std::slice slice2(1, 4, 3);
+    std::valarray<int> sliced2 = data[slice2];
+    out << "\nSlice(1, 4, 3):";
+    for (auto val : sliced2)
+      out << " " << val;
+
+    data[slice1] = 99;
+    out << "\nArray after slice modification:";
+    for (auto val : data)
+      out << " " << val;
+
+    std::valarray<bool> mask = (v1 > 20);
+    out << "\nElements of v1 > 20:";
+    for (size_t i = 0; i < v1.size(); ++i)
+      {
+	if (mask[i])
+	  out << " " << v1[i];
+      }
+
+    std::valarray<int> masked = v1[mask];
+    out << "\nMasked array:";
+    for (auto val : masked)
+      out << " " << val;
+
+    std::valarray<int> shiftData(shiftData_i_data, shiftData_i_size);
+    out << "\nOriginal shiftData:";
+    for (auto val : shiftData)
+      out << " " << val;
+
+    std::valarray<int> shifted = shiftData.shift(2);
+    out << "\nshift(2):";
+    for (auto val : shifted)
+      out << " " << val;
+
+    std::valarray<int> cshifted = shiftData.cshift(-1);
+    out << "\ncshift(-1):";
+    for (auto val : cshifted)
+      out << " " << val;
+
+    out << "\nSum(v1): " << v1.sum();
+    out << "\nMin(v1): " << v1.min();
+    out << "\nMax(v1): " << v1.max();
+
+    out << "\n";
+
+    /* Terminate with a NUL.  Otherwise, we'd have to use:
+           __builtin_printf("%.*s", (int) out_b_sv.size(), out_b_sv.data());
+       ... which nvptx 'printf', as implemented via PTX 'vprintf', doesn't support (TODO).  */
+    out << '\0';
+    std::string_view out_b_sv = out_b.view();
+    __builtin_printf("%s", out_b_sv.data());
+  }
+
+  return 0;
+}
diff --git a/libgomp/testsuite/libgomp.c++/target-std__valarray-1.output b/libgomp/testsuite/libgomp.c++/target-std__valarray-1.output
new file mode 100644
index 0000000..c441e06
--- /dev/null
+++ b/libgomp/testsuite/libgomp.c++/target-std__valarray-1.output
@@ -0,0 +1,22 @@
+
+v1: 10 20 30 40 50
+v2: 5 4 3 2 1
+v1 + v2: 15 24 33 42 51
+v1 - v2: 5 16 27 38 49
+v1 * v2: 50 80 90 80 50
+v1 / v2: 2 5 10 20 50
+pow(v1, 2): 100 400 900 1600 2500
+sinh(v2): 74 27 10 3 1
+log(v1 * v2): 3 4 4 4 3
+Original array: 0 1 2 3 4 5 6 7 8 9 10 11
+Slice(2, 5, 1): 2 3 4 5 6
+Slice(1, 4, 3): 1 4 7 10
+Array after slice modification: 0 1 99 99 99 99 99 7 8 9 10 11
+Elements of v1 > 20: 30 40 50
+Masked array: 30 40 50
+Original shiftData: 1 2 3 4 5
+shift(2): 3 4 5 0 0
+cshift(-1): 5 1 2 3 4
+Sum(v1): 150
+Min(v1): 10
+Max(v1): 50