Fix conan debug build

CLAUDE.md

@@ -9,14 +9,17 @@ BayesNet is a C++ library implementing Bayesian Network Classifiers. It provides
 ## Build System & Dependencies
 
 ### Dependency Management
+
 The project supports **two package managers**:
 
 #### vcpkg (Default)
-- Uses vcpkg with private registry at https://github.com/rmontanana/vcpkg-stash
+
+- Uses vcpkg with private registry at <https://github.com/rmontanana/vcpkg-stash>
 - Core dependencies: libtorch, nlohmann-json, folding, fimdlp, arff-files, catch2
 - All dependencies defined in `vcpkg.json` with version overrides
 
 #### Conan (Alternative)
+
 - Modern C++ package manager with better dependency resolution
 - Configured via `conanfile.py` for packaging and distribution
 - Supports subset of dependencies (libtorch, nlohmann-json, catch2)
@@ -25,6 +28,7 @@ The project supports **two package managers**:
 ### Build Commands
 
 #### Using vcpkg (Default)
+
 ```bash
 # Initialize dependencies
 make init
@@ -49,6 +53,7 @@ make clean
 ```
 
 #### Using Conan
+
 ```bash
 # Install Conan first: pip install conan
 
@@ -74,6 +79,7 @@ make conan-clean
 ```
 
 ### CMake Configuration
+
 - Uses CMake 3.27+ with C++17 standard
 - Debug builds automatically enable testing and coverage
 - Release builds optimize with `-Ofast`
@@ -89,6 +95,7 @@ make conan-clean
 - Coverage reporting with lcov/genhtml
 
 ### Test Categories
+
 - A2DE, BoostA2DE, BoostAODE, XSPODE, XSPnDE, XBAODE, XBA2DE
 - Classifier, Ensemble, FeatureSelection, Metrics, Models
 - Network, Node, MST, Modules
@@ -96,6 +103,7 @@ make conan-clean
 ## Code Architecture
 
 ### Core Structure
+
 ```
 bayesnet/
 ├── BaseClassifier.h          # Abstract base for all classifiers
@@ -107,12 +115,14 @@ bayesnet/
 ```
 
 ### Key Design Patterns
+
 - **BaseClassifier** abstract interface for all algorithms
 - Template-based design with both std::vector and torch::Tensor support
 - Network/Node abstraction for Bayesian network representation
 - Feature selection as separate, composable modules
 
 ### Data Handling
+
 - Supports both discrete integer data and continuous data with discretization
 - ARFF file format support through arff-files library
 - Tensor operations via PyTorch C++ (libtorch)
@@ -128,6 +138,7 @@ bayesnet/
 ## Sample Applications
 
 Sample code in `sample/` directory demonstrates library usage:
+
 ```bash
 make sample fname=tests/data/iris.arff model=TANLd
 ```
@@ -135,6 +146,7 @@ make sample fname=tests/data/iris.arff model=TANLd
 ## Package Distribution
 
 ### Creating Conan Packages
+
 ```bash
 # Create package locally
 make conan-create
@@ -148,7 +160,9 @@ make conan-upload remote=myremote profile=myprofile
 ```
 
 ### Using the Library
+
 With Conan:
+
 ```python
 # conanfile.txt or conanfile.py
 [requires]
@@ -159,6 +173,7 @@ cmake
 ```
 
 With vcpkg:
+
 ```json
 {
   "dependencies": ["bayesnet"]

CMakeLists.txt

@@ -18,7 +18,6 @@ set(CMAKE_CXX_EXTENSIONS                  OFF)
 set(CMAKE_EXPORT_COMPILE_COMMANDS          ON)
 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
 SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread")
-set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fprofile-arcs -ftest-coverage -fno-elide-constructors")
 set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -Ofast")
 if (NOT ${CMAKE_SYSTEM_NAME} MATCHES "Darwin")
     set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fno-default-inline")
@@ -68,18 +67,19 @@ target_link_libraries(bayesnet
 # -------
 if (CMAKE_BUILD_TYPE STREQUAL "Debug")
     MESSAGE("Debug mode")
-    set(ENABLE_TESTING ON)
+else(CMAKE_BUILD_TYPE STREQUAL "Debug")
-    set(CODE_COVERAGE ON)
+    MESSAGE("Release mode")
 endif (CMAKE_BUILD_TYPE STREQUAL "Debug")
 if (ENABLE_TESTING)
     MESSAGE(STATUS "Testing enabled")
+    set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fprofile-arcs -ftest-coverage -fno-elide-constructors")
     find_package(Catch2 CONFIG REQUIRED)
     find_package(arff-files CONFIG REQUIRED)
     enable_testing()
     include(CTest)
     add_subdirectory(tests)
 else(ENABLE_TESTING)
-    message("Release mode")
+    
 endif (ENABLE_TESTING)
 
 # Installation
@@ -99,17 +99,14 @@ configure_package_config_file(
 install(TARGETS bayesnet
         EXPORT bayesnetTargets
         ARCHIVE DESTINATION lib
-        LIBRARY DESTINATION lib
+        LIBRARY DESTINATION lib)
-        CONFIGURATIONS Release)
 
 install(DIRECTORY bayesnet/ 
     DESTINATION include/bayesnet 
     FILES_MATCHING 
-    CONFIGURATIONS Release 
     PATTERN "*.h")
 install(FILES ${CMAKE_BINARY_DIR}/configured_files/include/bayesnet/config.h 
-    DESTINATION include/bayesnet 
+    DESTINATION include/bayesnet)
-    CONFIGURATIONS Release)
 
 install(EXPORT bayesnetTargets
         FILE bayesnetTargets.cmake

CONAN_README.md

@@ -24,16 +24,15 @@ bayesnet/1.2.0
     [generators]
     CMakeDeps
     CMakeToolchain
-
     ```
 
-2. Install dependencies:
+1. Install dependencies:
 
     ```bash
     conan install . --build=missing
     ```
 
-3. In your CMakeLists.txt:
+1. In your CMakeLists.txt:
 
     ```cmake
     find_package(bayesnet REQUIRED)
@@ -69,8 +68,8 @@ make conan-create
 For the custom dependencies, you'll need to create Conan recipes:
 
 1. **folding**: Cross-validation library
-2. **fimdlp**: Discretization library
+1. **fimdlp**: Discretization library
-3. **arff-files**: ARFF file format parser
+1. **arff-files**: ARFF file format parser
 
 Contact the maintainer or create custom recipes for these packages.
 

Makefile

@@ -220,8 +220,8 @@ release: ## Build release version using Conan
 
 conan-create: ## Create Conan package
 	@echo ">>> Creating Conan package..."
-	@conan create . --build=missing -tf "" --profile=release -tf ""
+	@conan create . --build=missing -tf "" --profile=release
-	@conan create . --build=missing -tf "" --profile=debug
+	@conan create . --build=missing -tf "" --profile=debug -o "&:enable_coverage=False" -o "&:enable_testing=False"
 	@echo ">>> Done"
 
 profile ?= release