Add TinyAD

recipes/tinyad/all/conandata.yml

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+sources:
+  "cci.20240718":
+    url: "https://github.com/patr-schm/TinyAD/archive/29417031c185b6dc27b6d4b684550d844459b735.tar.gz"
+    sha256: "0458b9aabd31bff079aa5e9e559bd4753744c29f9ffce9d06a6510409c92e221"

recipes/tinyad/all/conanfile.py

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+from conan import ConanFile
+from conan.tools.cmake import CMake, cmake_layout, CMakeToolchain, CMakeDeps
+from conan.tools.files import apply_conandata_patches, export_conandata_patches, copy, get, rmdir
+import os
+
+required_conan_version = ">=1.52.0"
+
+
+class TinyADConan(ConanFile):
+    name = "tinyad"
+    url = "https://github.com/conan-io/conan-center-index"
+    homepage = "https://github.com/patr-schm/TinyAD"
+    description = "TinyAD is a C++ header-only library for second-order automatic differentiation"
+    topics = ("algebra", "linear-algebra", "optimization", "autodiff", "numerical", "header-only")
+    package_type = "header-library"
+    license = ("MIT")
+
+    settings = "os", "arch", "compiler", "build_type"
+
+    def requirements(self):
+        self.requires("eigen/3.4.0", transitive_headers=True)
+
+    def layout(self):
+        cmake_layout(self, src_folder="src")
+
+    def package_id(self):
+        self.info.clear()
+
+    def source(self):
+        get(self, **self.conan_data["sources"][self.version],
+            destination=self.source_folder, strip_root=True)
+
+    def generate(self):
+        deps = CMakeDeps(self)
+        deps.generate()
+
+        tc = CMakeToolchain(self)
+        tc.generate()
+
+    def package(self):
+        copy(self, "include/**", src=self.source_folder, dst=self.package_folder)
+        copy(self, "LICENSE", src=self.source_folder, dst=os.path.join(self.package_folder, "licenses"))
+
+    def package_info(self):
+        self.cpp_info.set_property("cmake_file_name", "TinyAD")
+        self.cpp_info.set_property("cmake_target_name", "TinyAD")
+        self.cpp_info.components["tinyad"].set_property("cmake_target_name", "TinyAD::TinyAD")
+
+        self.cpp_info.components["tinyad"].bindirs = []
+        self.cpp_info.components["tinyad"].libdirs = []
+        self.cpp_info.components["tinyad"].includedirs = [os.path.join(self.package_folder, "include")]
+        self.cpp_info.components["tinyad"].requires = ["eigen::eigen"]
+

recipes/tinyad/all/test_package/CMakeLists.txt

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+cmake_minimum_required(VERSION 3.1)
+project(test_package LANGUAGES CXX)
+
+find_package(TinyAD REQUIRED CONFIG)
+
+add_executable(${PROJECT_NAME} test_package.cpp)
+target_link_libraries(${PROJECT_NAME} PRIVATE TinyAD)

recipes/tinyad/all/test_package/conanfile.py

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+import os
+
+from conan import ConanFile
+from conan.tools.build import can_run
+from conan.tools.cmake import CMake, cmake_layout
+
+class TestPackageConan(ConanFile):
+    settings = "os", "arch", "compiler", "build_type"
+    generators = "CMakeDeps", "CMakeToolchain", "VirtualRunEnv"
+    test_type = "explicit"
+
+    def requirements(self):
+        self.requires(self.tested_reference_str)
+
+    def layout(self):
+        cmake_layout(self)
+
+    def build(self):
+        cmake = CMake(self)
+        cmake.configure()
+        cmake.build()
+
+    def test(self):
+        if can_run(self):
+            self.run(os.path.join(self.cpp.build.bindirs[0], "test_package"), env="conanrun")

recipes/tinyad/all/test_package/test_package.cpp

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+#include <TinyAD/Scalar.hh>
+#include <Eigen/Dense>
+
+int main(void) {
+    // Choose autodiff scalar type for 3 variables
+    using ADouble = TinyAD::Double<3>;
+
+    // Init a 3D vector of active variables and a 3D vector of passive variables
+    Eigen::Vector3<ADouble> x = ADouble::make_active({0.0, -1.0, 1.0});
+    Eigen::Vector3<double> y(2.0, 3.0, 5.0);
+
+    // Compute angle using Eigen functions and retrieve gradient and Hessian w.r.t. x
+    ADouble angle = acos(x.dot(y) / (x.norm() * y.norm()));
+    Eigen::Vector3d g = angle.grad;
+    Eigen::Matrix3d H = angle.Hess;
+
+    return 0;
+}

recipes/tinyad/config.yml

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+versions:
+  "cci.20240718":
+    folder: all