11 Commits

26 changed files with 256 additions and 119 deletions

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@@ -16,7 +16,6 @@ jobs:
- uses: actions/checkout@v4 - uses: actions/checkout@v4
with: with:
fetch-depth: 0 # Shallow clones should be disabled for a better relevancy of analysis fetch-depth: 0 # Shallow clones should be disabled for a better relevancy of analysis
submodules: recursive
- name: Install sonar-scanner and build-wrapper - name: Install sonar-scanner and build-wrapper
uses: SonarSource/sonarcloud-github-c-cpp@v2 uses: SonarSource/sonarcloud-github-c-cpp@v2
- name: Install lcov & gcovr - name: Install lcov & gcovr
@@ -34,11 +33,11 @@ jobs:
cmake --build build -j 4 cmake --build build -j 4
cd build cd build
ctest -C Debug --output-on-failure -j 4 ctest -C Debug --output-on-failure -j 4
gcovr -f ../src/CPPFImdlp.cpp -f ../src/Metrics.cpp -f ../src/BinDisc.cpp -f ../src/Discretizer.cpp --txt --sonarqube=coverage.xml gcovr -f ../CPPFImdlp.cpp -f ../Metrics.cpp -f ../BinDisc.cpp -f ../Discretizer.cpp --txt --sonarqube=coverage.xml
- name: Run sonar-scanner - name: Run sonar-scanner
env: env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}
run: | run: |
sonar-scanner --define sonar.cfamily.compile-commands="${{ env.BUILD_WRAPPER_OUT_DIR }}" \ sonar-scanner --define sonar.cfamily.build-wrapper-output="${{ env.BUILD_WRAPPER_OUT_DIR }}" \
--define sonar.coverageReportPaths=build/coverage.xml --define sonar.coverageReportPaths=build/coverage.xml

3
.gitmodules vendored
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@@ -1,3 +0,0 @@
[submodule "tests/lib/Files"]
path = tests/lib/Files
url = https://github.com/rmontanana/ArffFiles.git

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@@ -54,30 +54,31 @@ namespace mdlp {
} }
return linspc; return linspc;
} }
size_t clip(const size_t n, const size_t lower, const size_t upper) size_t clip(const size_t n, size_t lower, size_t upper)
{ {
return std::max(lower, std::min(n, upper)); return std::max(lower, std::min(n, upper));
} }
std::vector<precision_t> percentile(samples_t& data, const std::vector<precision_t>& percentiles) std::vector<precision_t> percentile(samples_t& data, std::vector<precision_t>& percentiles)
{ {
// Implementation taken from https://dpilger26.github.io/NumCpp/doxygen/html/percentile_8hpp_source.html // Implementation taken from https://dpilger26.github.io/NumCpp/doxygen/html/percentile_8hpp_source.html
std::vector<precision_t> results; std::vector<precision_t> results;
bool first = true; bool first = true;
results.reserve(percentiles.size()); results.reserve(percentiles.size());
for (auto percentile : percentiles) { for (auto percentile : percentiles) {
const auto i = static_cast<size_t>(std::floor(static_cast<precision_t>(data.size() - 1) * percentile / 100.)); const size_t i = static_cast<size_t>(std::floor(static_cast<double>(data.size() - 1) * percentile / 100.));
const auto indexLower = clip(i, 0, data.size() - 2); const auto indexLower = clip(i, 0, data.size() - 2);
const precision_t percentI = static_cast<precision_t>(indexLower) / static_cast<precision_t>(data.size() - 1); const double percentI = static_cast<double>(indexLower) / static_cast<double>(data.size() - 1);
const precision_t fraction = const double fraction =
(percentile / 100.0 - percentI) / (percentile / 100.0 - percentI) /
(static_cast<precision_t>(indexLower + 1) / static_cast<precision_t>(data.size() - 1) - percentI); (static_cast<double>(indexLower + 1) / static_cast<double>(data.size() - 1) - percentI);
if (const auto value = data[indexLower] + (data[indexLower + 1] - data[indexLower]) * fraction; value != results.back() || first) // first needed as results.back() return is undefined for empty vectors const auto value = data[indexLower] + (data[indexLower + 1] - data[indexLower]) * fraction;
if (value != results.back() || first) // first needed as results.back() return is undefined for empty vectors
results.push_back(value); results.push_back(value);
first = false; first = false;
} }
return results; return results;
} }
void BinDisc::fit_quantile(const samples_t& X) void BinDisc::fit_quantile(samples_t& X)
{ {
auto quantiles = linspace(0.0, 100.0, n_bins + 1); auto quantiles = linspace(0.0, 100.0, n_bins + 1);
auto data = X; auto data = X;
@@ -90,9 +91,9 @@ namespace mdlp {
} }
cutPoints = percentile(data, quantiles); cutPoints = percentile(data, quantiles);
} }
void BinDisc::fit_uniform(const samples_t& X) void BinDisc::fit_uniform(samples_t& X)
{ {
auto [vmin, vmax] = std::minmax_element(X.begin(), X.end()); auto minmax = std::minmax_element(X.begin(), X.end());
cutPoints = linspace(*vmin, *vmax, n_bins + 1); cutPoints = linspace(*minmax.first, *minmax.second, n_bins + 1);
} }
} }

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@@ -24,8 +24,8 @@ namespace mdlp {
void fit(samples_t& X_, labels_t& y) override; void fit(samples_t& X_, labels_t& y) override;
void fit(samples_t& X); void fit(samples_t& X);
private: private:
void fit_uniform(const samples_t&); void fit_uniform(samples_t&);
void fit_quantile(const samples_t&); void fit_quantile(samples_t&);
int n_bins; int n_bins;
strategy_t strategy; strategy_t strategy;
}; };

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@@ -1,44 +1,20 @@
cmake_minimum_required(VERSION 3.20) cmake_minimum_required(VERSION 3.20)
project(mdlp)
project(fimdlp)
set(CMAKE_CXX_STANDARD 17) set(CMAKE_CXX_STANDARD 17)
cmake_policy(SET CMP0135 NEW) find_package(Torch REQUIRED)
include_directories(${TORCH_INCLUDE_DIRS})
find_package(Torch CONFIG REQUIRED) add_library(mdlp CPPFImdlp.cpp Metrics.cpp BinDisc.cpp Discretizer.cpp)
target_link_libraries(mdlp "${TORCH_LIBRARIES}")
add_subdirectory(sample)
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fno-elide-constructors") set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fno-elide-constructors")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O3") set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O3")
if (NOT ${CMAKE_SYSTEM_NAME} MATCHES "Darwin") if (NOT ${CMAKE_SYSTEM_NAME} MATCHES "Darwin")
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fno-default-inline") set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fno-default-inline")
endif() endif()
if (ENABLE_TESTING) if (ENABLE_TESTING)
MESSAGE("Debug mode") MESSAGE("Debug mode")
enable_testing() enable_testing()
set(CODE_COVERAGE ON) set(CODE_COVERAGE ON)
SET(GCC_COVERAGE_LINK_FLAGS " ${GCC_COVERAGE_LINK_FLAGS} -lgcov --coverage") SET(GCC_COVERAGE_LINK_FLAGS " ${GCC_COVERAGE_LINK_FLAGS} -lgcov --coverage")
add_subdirectory(tests) add_subdirectory(tests)
else(ENABLE_TESTING)
MESSAGE("Release mode")
endif(ENABLE_TESTING) endif(ENABLE_TESTING)
if (ENABLE_SAMPLE)
message("Building sample")
add_subdirectory(sample)
endif(ENABLE_SAMPLE)
include_directories(
${TORCH_INCLUDE_DIRS}
${fimdlp_SOURCE_DIR}/src
)
add_library(fimdlp src/CPPFImdlp.cpp src/Metrics.cpp src/BinDisc.cpp src/Discretizer.cpp)
target_link_libraries(fimdlp "${TORCH_LIBRARIES}")
# Installation
# ------------
install(TARGETS fimdlp
ARCHIVE DESTINATION lib
LIBRARY DESTINATION lib
CONFIGURATIONS Release)
install(DIRECTORY src/ DESTINATION include/fimdlp FILES_MATCHING CONFIGURATIONS Release PATTERN "*.h")

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@@ -66,9 +66,9 @@ namespace mdlp {
} }
} }
// Insert first & last X value to the cutpoints as them shall be ignored in transform // Insert first & last X value to the cutpoints as them shall be ignored in transform
auto [vmin, vmax] = std::minmax_element(X.begin(), X.end()); auto minmax = std::minmax_element(X.begin(), X.end());
cutPoints.push_back(*vmax); cutPoints.push_back(*minmax.second);
cutPoints.insert(cutPoints.begin(), *vmin); cutPoints.insert(cutPoints.begin(), *minmax.first);
} }
pair<precision_t, size_t> CPPFImdlp::valueCutPoint(size_t start, size_t cut, size_t end) pair<precision_t, size_t> CPPFImdlp::valueCutPoint(size_t start, size_t cut, size_t end)

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@@ -19,8 +19,8 @@ namespace mdlp {
auto bound = direction == bound_dir_t::LEFT ? std::lower_bound<std::vector<precision_t>::iterator, precision_t> : std::upper_bound<std::vector<precision_t>::iterator, precision_t>; auto bound = direction == bound_dir_t::LEFT ? std::lower_bound<std::vector<precision_t>::iterator, precision_t> : std::upper_bound<std::vector<precision_t>::iterator, precision_t>;
for (const precision_t& item : data) { for (const precision_t& item : data) {
auto pos = bound(first, last, item); auto pos = bound(first, last, item);
auto number = pos - first; int number = pos - first;
discretizedData.push_back(static_cast<label_t>(number)); discretizedData.push_back(number);
} }
return discretizedData; return discretizedData;
} }
@@ -29,26 +29,26 @@ namespace mdlp {
fit(X_, y_); fit(X_, y_);
return transform(X_); return transform(X_);
} }
void Discretizer::fit_t(const torch::Tensor& X_, const torch::Tensor& y_) void Discretizer::fit_t(torch::Tensor& X_, torch::Tensor& y_)
{ {
auto num_elements = X_.numel(); auto num_elements = X_.numel();
samples_t X(X_.data_ptr<precision_t>(), X_.data_ptr<precision_t>() + num_elements); samples_t X(X_.data_ptr<precision_t>(), X_.data_ptr<precision_t>() + num_elements);
labels_t y(y_.data_ptr<int>(), y_.data_ptr<int>() + num_elements); labels_t y(y_.data_ptr<int>(), y_.data_ptr<int>() + num_elements);
fit(X, y); fit(X, y);
} }
torch::Tensor Discretizer::transform_t(const torch::Tensor& X_) torch::Tensor Discretizer::transform_t(torch::Tensor& X_)
{ {
auto num_elements = X_.numel(); auto num_elements = X_.numel();
samples_t X(X_.data_ptr<precision_t>(), X_.data_ptr<precision_t>() + num_elements); samples_t X(X_.data_ptr<precision_t>(), X_.data_ptr<precision_t>() + num_elements);
auto result = transform(X); auto result = transform(X);
return torch::tensor(result, torch_label_t); return torch::tensor(result, torch::kInt32);
} }
torch::Tensor Discretizer::fit_transform_t(const torch::Tensor& X_, const torch::Tensor& y_) torch::Tensor Discretizer::fit_transform_t(torch::Tensor& X_, torch::Tensor& y_)
{ {
auto num_elements = X_.numel(); auto num_elements = X_.numel();
samples_t X(X_.data_ptr<precision_t>(), X_.data_ptr<precision_t>() + num_elements); samples_t X(X_.data_ptr<precision_t>(), X_.data_ptr<precision_t>() + num_elements);
labels_t y(y_.data_ptr<int>(), y_.data_ptr<int>() + num_elements); labels_t y(y_.data_ptr<int>(), y_.data_ptr<int>() + num_elements);
auto result = fit_transform(X, y); auto result = fit_transform(X, y);
return torch::tensor(result, torch_label_t); return torch::tensor(result, torch::kInt32);
} }
} }

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@@ -9,15 +9,14 @@
#include <string> #include <string>
#include <algorithm> #include <algorithm>
#include "typesFImdlp.h"
#include <torch/torch.h> #include <torch/torch.h>
#include "typesFImdlp.h"
namespace mdlp { namespace mdlp {
enum class bound_dir_t { enum class bound_dir_t {
LEFT, LEFT,
RIGHT RIGHT
}; };
const auto torch_label_t = torch::kInt32;
class Discretizer { class Discretizer {
public: public:
Discretizer() = default; Discretizer() = default;
@@ -26,10 +25,10 @@ namespace mdlp {
virtual void fit(samples_t& X_, labels_t& y_) = 0; virtual void fit(samples_t& X_, labels_t& y_) = 0;
labels_t& transform(const samples_t& data); labels_t& transform(const samples_t& data);
labels_t& fit_transform(samples_t& X_, labels_t& y_); labels_t& fit_transform(samples_t& X_, labels_t& y_);
void fit_t(const torch::Tensor& X_, const torch::Tensor& y_); void fit_t(torch::Tensor& X_, torch::Tensor& y_);
torch::Tensor transform_t(const torch::Tensor& X_); torch::Tensor transform_t(torch::Tensor& X_);
torch::Tensor fit_transform_t(const torch::Tensor& X_, const torch::Tensor& y_); torch::Tensor fit_transform_t(torch::Tensor& X_, torch::Tensor& y_);
static inline std::string version() { return "2.0.1"; }; static inline std::string version() { return "1.2.3"; };
protected: protected:
labels_t discretizedData = labels_t(); labels_t discretizedData = labels_t();
cutPoints_t cutPoints; // At least two cutpoints must be provided, the first and the last will be ignored in transform cutPoints_t cutPoints; // At least two cutpoints must be provided, the first and the last will be ignored in transform

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@@ -6,16 +6,13 @@ lcov := lcov
build: build:
@if [ -d build_release ]; then rm -fr build_release; fi @if [ -d build_release ]; then rm -fr build_release; fi
@mkdir build_release @mkdir build_release
@cmake -B build_release -S . -DCMAKE_BUILD_TYPE=Release -DENABLE_TESTING=OFF -DENABLE_SAMPLE=ON @cmake -B build_release -S . -DCMAKE_BUILD_TYPE=Release -DENABLE_TESTING=OFF
@cmake --build build_release -j 8 @cmake --build build_release -j 8
install:
@cmake --build build_release --target install -j 8
test: test:
@if [ -d build_debug ]; then rm -fr build_debug; fi @if [ -d build_debug ]; then rm -fr build_debug; fi
@mkdir build_debug @mkdir build_debug
@cmake -B build_debug -S . -DCMAKE_BUILD_TYPE=Debug -DENABLE_TESTING=ON -DENABLE_SAMPLE=ON @cmake -B build_debug -S . -DCMAKE_BUILD_TYPE=Debug -DENABLE_TESTING=ON
@cmake --build build_debug -j 8 @cmake --build build_debug -j 8
@cd build_debug/tests && ctest --output-on-failure -j 8 @cd build_debug/tests && ctest --output-on-failure -j 8
@cd build_debug/tests && $(lcov) --capture --directory ../ --demangle-cpp --ignore-errors source,source --ignore-errors mismatch --output-file coverage.info >/dev/null 2>&1; \ @cd build_debug/tests && $(lcov) --capture --directory ../ --demangle-cpp --ignore-errors source,source --ignore-errors mismatch --output-file coverage.info >/dev/null 2>&1; \

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@@ -2,10 +2,5 @@ set(CMAKE_CXX_STANDARD 17)
set(CMAKE_BUILD_TYPE Debug) set(CMAKE_BUILD_TYPE Debug)
include_directories( add_executable(sample sample.cpp ../tests/ArffFiles.cpp)
${fimdlp_SOURCE_DIR}/src target_link_libraries(sample mdlp "${TORCH_LIBRARIES}")
${fimdlp_SOURCE_DIR}/tests/lib/Files
)
add_executable(sample sample.cpp )
target_link_libraries(sample fimdlp "${TORCH_LIBRARIES}")

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@@ -12,10 +12,10 @@
#include <cstring> #include <cstring>
#include <getopt.h> #include <getopt.h>
#include <torch/torch.h> #include <torch/torch.h>
#include <ArffFiles.hpp> #include "../Discretizer.h"
#include "Discretizer.h" #include "../CPPFImdlp.h"
#include "CPPFImdlp.h" #include "../BinDisc.h"
#include "BinDisc.h" #include "../tests/ArffFiles.h"
const string PATH = "tests/datasets/"; const string PATH = "tests/datasets/";

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@@ -3,7 +3,7 @@ sonar.organization=rmontanana
# This is the name and version displayed in the SonarCloud UI. # This is the name and version displayed in the SonarCloud UI.
sonar.projectName=mdlp sonar.projectName=mdlp
sonar.projectVersion=2.0.1 sonar.projectVersion=2.0.0
# sonar.test.exclusions=tests/** # sonar.test.exclusions=tests/**
# sonar.tests=tests/ # sonar.tests=tests/
# sonar.coverage.exclusions=tests/**,sample/** # sonar.coverage.exclusions=tests/**,sample/**
@@ -12,3 +12,4 @@ sonar.projectVersion=2.0.1
# Encoding of the source code. Default is default system encoding # Encoding of the source code. Default is default system encoding
sonar.sourceEncoding=UTF-8 sonar.sourceEncoding=UTF-8
sonar.cfamily.compile-commands

138
tests/ArffFiles.cpp Normal file
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@@ -0,0 +1,138 @@
// ****************************************************************
// SPDX - FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
// SPDX - FileType: SOURCE
// SPDX - License - Identifier: MIT
// ****************************************************************
#include "ArffFiles.h"
#include <fstream>
#include <sstream>
#include <map>
using namespace std;
ArffFiles::ArffFiles() = default;
vector<string> ArffFiles::getLines() const
{
return lines;
}
unsigned long int ArffFiles::getSize() const
{
return lines.size();
}
vector<pair<string, string>> ArffFiles::getAttributes() const
{
return attributes;
}
string ArffFiles::getClassName() const
{
return className;
}
string ArffFiles::getClassType() const
{
return classType;
}
vector<mdlp::samples_t>& ArffFiles::getX()
{
return X;
}
vector<int>& ArffFiles::getY()
{
return y;
}
void ArffFiles::load(const string& fileName, bool classLast)
{
ifstream file(fileName);
if (!file.is_open()) {
throw invalid_argument("Unable to open file");
}
string line;
string keyword;
string attribute;
string type;
string type_w;
while (getline(file, line)) {
if (line.empty() || line[0] == '%' || line == "\r" || line == " ") {
continue;
}
if (line.find("@attribute") != string::npos || line.find("@ATTRIBUTE") != string::npos) {
stringstream ss(line);
ss >> keyword >> attribute;
type = "";
while (ss >> type_w)
type += type_w + " ";
attributes.emplace_back(trim(attribute), trim(type));
continue;
}
if (line[0] == '@') {
continue;
}
lines.push_back(line);
}
file.close();
if (attributes.empty())
throw invalid_argument("No attributes found");
if (classLast) {
className = get<0>(attributes.back());
classType = get<1>(attributes.back());
attributes.pop_back();
} else {
className = get<0>(attributes.front());
classType = get<1>(attributes.front());
attributes.erase(attributes.begin());
}
generateDataset(classLast);
}
void ArffFiles::generateDataset(bool classLast)
{
X = vector<mdlp::samples_t>(attributes.size(), mdlp::samples_t(lines.size()));
auto yy = vector<string>(lines.size(), "");
int labelIndex = classLast ? static_cast<int>(attributes.size()) : 0;
for (size_t i = 0; i < lines.size(); i++) {
stringstream ss(lines[i]);
string value;
int pos = 0;
int xIndex = 0;
while (getline(ss, value, ',')) {
if (pos++ == labelIndex) {
yy[i] = value;
} else {
X[xIndex++][i] = stof(value);
}
}
}
y = factorize(yy);
}
string ArffFiles::trim(const string& source)
{
string s(source);
s.erase(0, s.find_first_not_of(" '\n\r\t"));
s.erase(s.find_last_not_of(" '\n\r\t") + 1);
return s;
}
vector<int> ArffFiles::factorize(const vector<string>& labels_t)
{
vector<int> yy;
yy.reserve(labels_t.size());
map<string, int> labelMap;
int i = 0;
for (const string& label : labels_t) {
if (labelMap.find(label) == labelMap.end()) {
labelMap[label] = i++;
}
yy.push_back(labelMap[label]);
}
return yy;
}

41
tests/ArffFiles.h Normal file
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@@ -0,0 +1,41 @@
// ****************************************************************
// SPDX - FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
// SPDX - FileType: SOURCE
// SPDX - License - Identifier: MIT
// ****************************************************************
#ifndef ARFFFILES_H
#define ARFFFILES_H
#include <string>
#include <vector>
#include "../typesFImdlp.h"
using namespace std;
class ArffFiles {
private:
vector<string> lines;
vector<pair<string, string>> attributes;
string className;
string classType;
vector<mdlp::samples_t> X;
vector<int> y;
void generateDataset(bool);
public:
ArffFiles();
void load(const string&, bool = true);
vector<string> getLines() const;
unsigned long int getSize() const;
string getClassName() const;
string getClassType() const;
static string trim(const string&);
vector<mdlp::samples_t>& getX();
vector<int>& getY();
vector<pair<string, string>> getAttributes() const;
static vector<int> factorize(const vector<string>& labels_t);
};
#endif

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@@ -8,8 +8,8 @@
#include <string> #include <string>
#include <iostream> #include <iostream>
#include "gtest/gtest.h" #include "gtest/gtest.h"
#include <ArffFiles.hpp> #include "ArffFiles.h"
#include "BinDisc.h" #include "../BinDisc.h"
#include "Experiments.hpp" #include "Experiments.hpp"
namespace mdlp { namespace mdlp {

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@@ -1,3 +1,6 @@
cmake_minimum_required(VERSION 3.20)
set(CMAKE_CXX_STANDARD 17)
cmake_policy(SET CMP0135 NEW)
include(FetchContent) include(FetchContent)
include_directories(${GTEST_INCLUDE_DIRS}) include_directories(${GTEST_INCLUDE_DIRS})
FetchContent_Declare( FetchContent_Declare(
@@ -8,30 +11,28 @@ FetchContent_Declare(
set(gtest_force_shared_crt ON CACHE BOOL "" FORCE) set(gtest_force_shared_crt ON CACHE BOOL "" FORCE)
FetchContent_MakeAvailable(googletest) FetchContent_MakeAvailable(googletest)
include_directories( find_package(Torch REQUIRED)
${TORCH_INCLUDE_DIRS}
${fimdlp_SOURCE_DIR}/src
${fimdlp_SOURCE_DIR}/tests/lib/Files
)
add_executable(Metrics_unittest ${fimdlp_SOURCE_DIR}/src/Metrics.cpp Metrics_unittest.cpp) enable_testing()
include_directories(${TORCH_INCLUDE_DIRS})
add_executable(Metrics_unittest ../Metrics.cpp Metrics_unittest.cpp)
target_link_libraries(Metrics_unittest GTest::gtest_main) target_link_libraries(Metrics_unittest GTest::gtest_main)
target_compile_options(Metrics_unittest PRIVATE --coverage) target_compile_options(Metrics_unittest PRIVATE --coverage)
target_link_options(Metrics_unittest PRIVATE --coverage) target_link_options(Metrics_unittest PRIVATE --coverage)
add_executable(FImdlp_unittest FImdlp_unittest.cpp add_executable(FImdlp_unittest ../CPPFImdlp.cpp ArffFiles.cpp ../Metrics.cpp FImdlp_unittest.cpp ../Discretizer.cpp)
${fimdlp_SOURCE_DIR}/src/CPPFImdlp.cpp ${fimdlp_SOURCE_DIR}/src/Metrics.cpp ${fimdlp_SOURCE_DIR}/src/Discretizer.cpp)
target_link_libraries(FImdlp_unittest GTest::gtest_main "${TORCH_LIBRARIES}") target_link_libraries(FImdlp_unittest GTest::gtest_main "${TORCH_LIBRARIES}")
target_compile_options(FImdlp_unittest PRIVATE --coverage) target_compile_options(FImdlp_unittest PRIVATE --coverage)
target_link_options(FImdlp_unittest PRIVATE --coverage) target_link_options(FImdlp_unittest PRIVATE --coverage)
add_executable(BinDisc_unittest BinDisc_unittest.cpp ${fimdlp_SOURCE_DIR}/src/BinDisc.cpp ${fimdlp_SOURCE_DIR}/src/Discretizer.cpp) add_executable(BinDisc_unittest ../BinDisc.cpp ArffFiles.cpp BinDisc_unittest.cpp ../Discretizer.cpp)
target_link_libraries(BinDisc_unittest GTest::gtest_main "${TORCH_LIBRARIES}") target_link_libraries(BinDisc_unittest GTest::gtest_main "${TORCH_LIBRARIES}")
target_compile_options(BinDisc_unittest PRIVATE --coverage) target_compile_options(BinDisc_unittest PRIVATE --coverage)
target_link_options(BinDisc_unittest PRIVATE --coverage) target_link_options(BinDisc_unittest PRIVATE --coverage)
add_executable(Discretizer_unittest Discretizer_unittest.cpp add_executable(Discretizer_unittest ../BinDisc.cpp ../CPPFImdlp.cpp ArffFiles.cpp ../Metrics.cpp ../Discretizer.cpp Discretizer_unittest.cpp)
${fimdlp_SOURCE_DIR}/src/BinDisc.cpp ${fimdlp_SOURCE_DIR}/src/CPPFImdlp.cpp ${fimdlp_SOURCE_DIR}/src/Metrics.cpp ${fimdlp_SOURCE_DIR}/src/Discretizer.cpp )
target_link_libraries(Discretizer_unittest GTest::gtest_main "${TORCH_LIBRARIES}") target_link_libraries(Discretizer_unittest GTest::gtest_main "${TORCH_LIBRARIES}")
target_compile_options(Discretizer_unittest PRIVATE --coverage) target_compile_options(Discretizer_unittest PRIVATE --coverage)
target_link_options(Discretizer_unittest PRIVATE --coverage) target_link_options(Discretizer_unittest PRIVATE --coverage)

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@@ -7,11 +7,11 @@
#include <fstream> #include <fstream>
#include <string> #include <string>
#include <iostream> #include <iostream>
#include <ArffFiles.hpp>
#include "gtest/gtest.h" #include "gtest/gtest.h"
#include "Discretizer.h" #include "ArffFiles.h"
#include "BinDisc.h" #include "../Discretizer.h"
#include "CPPFImdlp.h" #include "../BinDisc.h"
#include "../CPPFImdlp.h"
namespace mdlp { namespace mdlp {
const float margin = 1e-4; const float margin = 1e-4;
@@ -33,7 +33,7 @@ namespace mdlp {
auto version = disc->version(); auto version = disc->version();
delete disc; delete disc;
std::cout << "Version computed: " << version; std::cout << "Version computed: " << version;
EXPECT_EQ("2.0.1", version); EXPECT_EQ("1.2.3", version);
} }
TEST(Discretizer, BinIrisUniform) TEST(Discretizer, BinIrisUniform)
{ {

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@@ -12,7 +12,7 @@
#include<fstream> #include<fstream>
#include<vector> #include<vector>
#include<tuple> #include<tuple>
#include "typesFImdlp.h" #include "../typesFImdlp.h"
template <typename T> template <typename T>
void show_vector(const std::vector<T>& data, std::string title) void show_vector(const std::vector<T>& data, std::string title)

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@@ -4,12 +4,12 @@
// SPDX - License - Identifier: MIT // SPDX - License - Identifier: MIT
// **************************************************************** // ****************************************************************
#include "gtest/gtest.h"
#include "../Metrics.h"
#include "../CPPFImdlp.h"
#include <fstream> #include <fstream>
#include <iostream> #include <iostream>
#include <ArffFiles.hpp> #include "ArffFiles.h"
#include "gtest/gtest.h"
#include "Metrics.h"
#include "CPPFImdlp.h"
#define EXPECT_THROW_WITH_MESSAGE(stmt, etype, whatstring) EXPECT_THROW( \ #define EXPECT_THROW_WITH_MESSAGE(stmt, etype, whatstring) EXPECT_THROW( \
try { \ try { \

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@@ -5,7 +5,7 @@
// **************************************************************** // ****************************************************************
#include "gtest/gtest.h" #include "gtest/gtest.h"
#include "Metrics.h" #include "../Metrics.h"
namespace mdlp { namespace mdlp {
class TestMetrics : public Metrics, public testing::Test { class TestMetrics : public Metrics, public testing::Test {

Submodule tests/lib/Files deleted from a5316928d4

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@@ -201,7 +201,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.1.undefined" "version": "3.11.8"
} }
}, },
"nbformat": 4, "nbformat": 4,

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@@ -1,9 +1,3 @@
// ****************************************************************
// SPDX - FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
// SPDX - FileType: SOURCE
// SPDX - License - Identifier: MIT
// ****************************************************************
#ifndef TYPES_H #ifndef TYPES_H
#define TYPES_H #define TYPES_H
@@ -14,9 +8,8 @@
using namespace std; using namespace std;
namespace mdlp { namespace mdlp {
typedef float precision_t; typedef float precision_t;
typedef int label_t;
typedef std::vector<precision_t> samples_t; typedef std::vector<precision_t> samples_t;
typedef std::vector<label_t> labels_t; typedef std::vector<int> labels_t;
typedef std::vector<size_t> indices_t; typedef std::vector<size_t> indices_t;
typedef std::vector<precision_t> cutPoints_t; typedef std::vector<precision_t> cutPoints_t;
typedef std::map<std::pair<int, int>, precision_t> cacheEnt_t; typedef std::map<std::pair<int, int>, precision_t> cacheEnt_t;