First approach

test_package/CMakeLists.txt

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+cmake_minimum_required(VERSION 3.27)
+project(test_bayesnet)
+
+set(CMAKE_CXX_STANDARD 17)
+
+find_package(bayesnet REQUIRED)
+
+add_executable(test_bayesnet test_bayesnet.cpp)
+target_link_libraries(test_bayesnet bayesnet::bayesnet)

test_package/conanfile.py

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+from conan import ConanFile
+from conan.tools.cmake import CMake, cmake_layout
+from conan.tools.build import can_run
+import os
+
+class BayesNetTestConan(ConanFile):
+    settings = "os", "compiler", "build_type", "arch"
+    
+    def requirements(self):
+        self.requires(self.tested_reference_str)
+    
+    def build_requirements(self):
+        self.build_requires("cmake/[>=3.27]")
+    
+    def layout(self):
+        cmake_layout(self)
+    
+    def build(self):
+        cmake = CMake(self)
+        cmake.configure()
+        cmake.build()
+    
+    def test(self):
+        if can_run(self):
+            cmd = os.path.join(self.cpp.build.bindirs[0], "test_bayesnet")
+            self.run(cmd, env="conanrun")

test_package/test_bayesnet.cpp

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+#include <iostream>
+#include <bayesnet/BaseClassifier.h>
+#include <bayesnet/classifiers/TAN.h>
+#include <bayesnet/network/Network.h>
+
+int main() {
+    std::cout << "Testing BayesNet library integration..." << std::endl;
+    
+    try {
+        // Test basic instantiation
+        bayesnet::Network network;
+        std::cout << "✓ Network class instantiated successfully" << std::endl;
+        
+        // Test TAN classifier instantiation
+        bayesnet::TAN tan;
+        std::cout << "✓ TAN classifier instantiated successfully" << std::endl;
+        
+        std::cout << "✓ All basic tests passed!" << std::endl;
+        std::cout << "BayesNet library is working correctly." << std::endl;
+        
+        return 0;
+    } catch (const std::exception& e) {
+        std::cerr << "✗ Test failed: " << e.what() << std::endl;
+        return 1;
+    }
+}