library comile complete and begin tests

tests/CMakeLists.txt

@@ -23,16 +23,31 @@ target_link_libraries(svm_classifier_tests
     PRIVATE 
         svm_classifier
         Catch2::Catch2WithMain
+        nlohmann_json::nlohmann_json
 )
 
-# Set include directories
+# Set include directories - Handle external libraries dynamically
 target_include_directories(svm_classifier_tests
     PRIVATE
         ${CMAKE_SOURCE_DIR}/include
-        ${CMAKE_SOURCE_DIR}/external/libsvm
-        ${CMAKE_SOURCE_DIR}/external/liblinear
 )
 
+# Add libsvm include directory if available
+if(EXISTS "${CMAKE_CURRENT_BINARY_DIR}/../_deps/libsvm-src")
+    target_include_directories(svm_classifier_tests 
+        PRIVATE "${CMAKE_CURRENT_BINARY_DIR}/../_deps/libsvm-src"
+    )
+endif()
+
+# Add liblinear include directories if available
+if(EXISTS "${CMAKE_CURRENT_BINARY_DIR}/../_deps/liblinear-src")
+    target_include_directories(svm_classifier_tests 
+        PRIVATE 
+            "${CMAKE_CURRENT_BINARY_DIR}/../_deps/liblinear-src"
+            "${CMAKE_CURRENT_BINARY_DIR}/../_deps/liblinear-src/blas"
+    )
+endif()
+
 # Compiler flags for tests
 target_compile_features(svm_classifier_tests PRIVATE cxx_std_17)
 

tests/test_data_converter.cpp

@@ -7,6 +7,10 @@
 #include <svm_classifier/data_converter.hpp>
 #include <torch/torch.h>
 
+// Include the actual headers for complete struct definitions
+#include "svm.h"        // libsvm structures
+#include "linear.h"     // liblinear structures
+
 using namespace svm_classifier;
 
 TEST_CASE("DataConverter Basic Functionality", "[unit][data_converter]")

tests/test_performance.cpp

@@ -10,7 +10,13 @@
 #include <iostream>
 #include <iomanip>
 
+// Include the actual headers for complete struct definitions
+#include "svm.h"        // libsvm structures
+#include "linear.h"     // liblinear structures
+#include <nlohmann/json.hpp>
+
 using namespace svm_classifier;
+using json = nlohmann::json;
 
 /**
  * @brief Generate large synthetic dataset for performance testing

tests/test_svm_classifier.cpp

@@ -283,7 +283,7 @@ TEST_CASE("SVMClassifier Prediction", "[integration][svm_classifier]")
         REQUIRE(predictions.size(0) == X_test.size(0));
 
         // Check that predictions are valid class labels
-        auto unique_preds = torch::unique(predictions);
+        auto unique_preds = std::get<0>(at::_unique(predictions));
         for (int i = 0; i < unique_preds.size(0); ++i) {
             int pred_class = unique_preds[i].item<int>();
             auto classes = svm.get_classes();