Update pybind11 to 2.9.2

Fixes https://gitlab.com/kicad/code/kicad/-/issues/10729

thirdparty/pybind11/tests/test_numpy_vectorize.cpp

@@ -8,38 +8,43 @@
     BSD-style license that can be found in the LICENSE file.
 */
 
-#include "pybind11_tests.h"
 #include <pybind11/numpy.h>
 
+#include "pybind11_tests.h"
+
 #include <utility>
 
 double my_func(int x, float y, double z) {
     py::print("my_func(x:int={}, y:float={:.0f}, z:float={:.0f})"_s.format(x, y, z));
-    return (float) x*y*z;
+    return (float) x * y * z;
 }
 
 TEST_SUBMODULE(numpy_vectorize, m) {
-    try { py::module_::import("numpy"); }
-    catch (...) { return; }
+    try {
+        py::module_::import("numpy");
+    } catch (...) {
+        return;
+    }
 
     // test_vectorize, test_docs, test_array_collapse
     // Vectorize all arguments of a function (though non-vector arguments are also allowed)
     m.def("vectorized_func", py::vectorize(my_func));
 
-    // Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization)
+    // Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the
+    // vectorization)
     m.def("vectorized_func2", [](py::array_t<int> x, py::array_t<float> y, float z) {
         return py::vectorize([z](int x, float y) { return my_func(x, y, z); })(std::move(x),
                                                                                std::move(y));
     });
 
     // Vectorize a complex-valued function
-    m.def("vectorized_func3", py::vectorize(
-        [](std::complex<double> c) { return c * std::complex<double>(2.f); }
-    ));
+    m.def("vectorized_func3",
+          py::vectorize([](std::complex<double> c) { return c * std::complex<double>(2.f); }));
 
     // test_type_selection
     // NumPy function which only accepts specific data types
-    // A lot of these no lints could be replaced with const refs, and probably should at some point.
+    // A lot of these no lints could be replaced with const refs, and probably should at some
+    // point.
     m.def("selective_func",
           [](const py::array_t<int, py::array::c_style> &) { return "Int branch taken."; });
     m.def("selective_func",
@@ -49,10 +54,10 @@ TEST_SUBMODULE(numpy_vectorize, m) {
     });
 
     // test_passthrough_arguments
-    // Passthrough test: references and non-pod types should be automatically passed through (in the
-    // function definition below, only `b`, `d`, and `g` are vectorized):
+    // Passthrough test: references and non-pod types should be automatically passed through (in
+    // the function definition below, only `b`, `d`, and `g` are vectorized):
     struct NonPODClass {
-        NonPODClass(int v) : value{v} {}
+        explicit NonPODClass(int v) : value{v} {}
         int value;
     };
     py::class_<NonPODClass>(m, "NonPODClass")
@@ -71,13 +76,12 @@ TEST_SUBMODULE(numpy_vectorize, m) {
 
     // test_method_vectorization
     struct VectorizeTestClass {
-        VectorizeTestClass(int v) : value{v} {};
+        explicit VectorizeTestClass(int v) : value{v} {};
         float method(int x, float y) const { return y + (float) (x + value); }
         int value = 0;
     };
     py::class_<VectorizeTestClass> vtc(m, "VectorizeTestClass");
-    vtc .def(py::init<int>())
-        .def_readwrite("value", &VectorizeTestClass::value);
+    vtc.def(py::init<int>()).def_readwrite("value", &VectorizeTestClass::value);
 
     // Automatic vectorizing of methods
     vtc.def("method", py::vectorize(&VectorizeTestClass::method));
@@ -99,5 +103,5 @@ TEST_SUBMODULE(numpy_vectorize, m) {
               return py::detail::broadcast(buffers, ndim, shape);
           });
 
-    m.def("add_to", py::vectorize([](NonPODClass& x, int a) { x.value += a; }));
+    m.def("add_to", py::vectorize([](NonPODClass &x, int a) { x.value += a; }));
 }