Add env to enable test data
This commit is contained in:
6
.vscode/launch.json
vendored
6
.vscode/launch.json
vendored
@@ -108,12 +108,12 @@
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"name": "test",
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"type": "lldb",
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"request": "launch",
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"program": "${workspaceFolder}/build_debug/tests/unit_tests",
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"program": "${workspaceFolder}/build_debug/tests/unit_tests_platform",
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"args": [
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"-c=\"Metrics Test\"",
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// "-c=\"Metrics Test\"",
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// "-s",
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],
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"cwd": "${workspaceFolder}/build/tests",
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"cwd": "${workspaceFolder}/build_debug/tests",
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},
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{
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"name": "Build & debug active file",
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@@ -85,6 +85,9 @@ message(STATUS "Bayesnet_INCLUDE_DIRS=${Bayesnet_INCLUDE_DIRS}")
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# Subdirectories
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# --------------
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## Configure test data path
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cmake_path(SET TEST_DATA_PATH "${CMAKE_CURRENT_SOURCE_DIR}/tests/data")
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configure_file(src/common/SourceData.h.in "${CMAKE_BINARY_DIR}/configured_files/include/SourceData.h")
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add_subdirectory(lib/Files)
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add_subdirectory(config)
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add_subdirectory(src)
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@@ -6,37 +6,9 @@
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#include <string>
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#include <CPPFImdlp.h>
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#include "Utils.h"
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#include "SourceData.h"
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namespace platform {
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enum fileType_t { CSV, ARFF, RDATA };
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class SourceData {
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public:
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SourceData(std::string source)
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{
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if (source == "Surcov") {
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path = "datasets/";
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fileType = CSV;
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} else if (source == "Arff") {
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path = "datasets/";
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fileType = ARFF;
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} else if (source == "Tanveer") {
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path = "data/";
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fileType = RDATA;
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} else {
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throw std::invalid_argument("Unknown source.");
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}
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}
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std::string getPath()
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{
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return path;
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}
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fileType_t getFileType()
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{
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return fileType;
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}
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private:
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std::string path;
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fileType_t fileType;
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};
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class Dataset {
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private:
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std::string path;
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@@ -14,8 +14,15 @@ namespace platform {
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private:
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std::map<std::string, std::string> env;
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public:
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DotEnv()
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DotEnv(bool create = false)
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{
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if (create) {
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// For testing purposes
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std::ofstream file(".env");
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file << "source_data = Test" << std::endl;
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file << "margin = 0.1" << std::endl;
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file.close();
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}
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std::ifstream file(".env");
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if (!file.is_open()) {
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std::cerr << "File .env not found" << std::endl;
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@@ -30,7 +37,7 @@ namespace platform {
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std::istringstream iss(line);
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std::string key, value;
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if (std::getline(iss, key, '=') && std::getline(iss, value)) {
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env[key] = value;
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env[trim(key)] = trim(value);
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}
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}
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}
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38
src/common/SourceData.h.in
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38
src/common/SourceData.h.in
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@@ -0,0 +1,38 @@
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#ifndef SOURCEDATA_H
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#define SOURCEDATA_H
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namespace platform {
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enum fileType_t { CSV, ARFF, RDATA };
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class SourceData {
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public:
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SourceData(std::string source)
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{
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if (source == "Surcov") {
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path = "datasets/";
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fileType = CSV;
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} else if (source == "Arff") {
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path = "datasets/";
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fileType = ARFF;
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} else if (source == "Tanveer") {
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path = "data/";
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fileType = RDATA;
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} else if (source == "Test") {
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path = "@TEST_DATA_PATH@/";
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fileType = ARFF;
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} else {
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throw std::invalid_argument("Unknown source.");
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}
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}
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std::string getPath()
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{
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return path;
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}
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fileType_t getFileType()
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{
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return fileType;
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}
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private:
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std::string path;
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fileType_t fileType;
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};
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}
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#endif
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@@ -69,6 +69,10 @@ namespace platform {
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mark = 0.9995;
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}
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status = result < mark ? Symbols::cross : result > mark ? Symbols::upward_arrow : "=";
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if (status == Symbols::cross) {
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std::cout << "ZeroR mark: " << mark << " result=" << result << " dataset = " << dataset << std::endl;
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exit(1);
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}
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}
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}
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}
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@@ -11,7 +11,7 @@ if(ENABLE_TESTING)
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${PyClassifiers_INCLUDE_DIRS}
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${Bayesnet_INCLUDE_DIRS}
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)
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set(TEST_SOURCES_PLATFORM TestUtils.cpp TestPlatform.cpp)
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set(TEST_SOURCES_PLATFORM TestUtils.cpp TestPlatform.cpp TestResult.cpp ${Platform_SOURCE_DIR}/src/common/Datasets.cpp ${Platform_SOURCE_DIR}/src/common/Dataset.cpp)
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add_executable(${TEST_PLATFORM} ${TEST_SOURCES_PLATFORM})
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target_link_libraries(${TEST_PLATFORM} PUBLIC "${TORCH_LIBRARIES}" ArffFiles mdlp Catch2::Catch2WithMain BayesNet)
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add_test(NAME ${TEST_PLATFORM} COMMAND ${TEST_PLATFORM})
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@@ -24,7 +24,7 @@ TEST_CASE("Test Folding library version", "[Folding]")
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TEST_CASE("Test BayesNet version", "[BayesNet]")
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{
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std::string version = bayesnet::TAN().getVersion();
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REQUIRE(version == "1.0.4");
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REQUIRE(version == "1.0.4.1");
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}
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TEST_CASE("Test mdlp version", "[mdlp]")
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{
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@@ -1,37 +1,25 @@
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#define CATCH_CONFIG_MAIN
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#include "catch.hpp"
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#include "Result.h"
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#include <filesystem>
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#include <catch2/catch_test_macros.hpp>
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#include <catch2/catch_approx.hpp>
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#include <vector>
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#include <string>
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#include "TestUtils.h"
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#include "results/Result.h"
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#include "common/DotEnv.h"
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#include "common/Datasets.h"
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#include "common/Paths.h"
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#include "config.h"
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TEST_CASE("Result class tests", "[Result]")
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{
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std::string testPath = "test_data";
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std::string testFile = "test.json";
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SECTION("Constructor and load method")
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TEST_CASE("ZeroR comparison in reports", "[Report]")
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{
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platform::Result result;
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result.load(testPath, testFile);
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REQUIRE(result.date != "");
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REQUIRE(result.score >= 0);
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REQUIRE(result.scoreName != "");
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REQUIRE(result.title != "");
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REQUIRE(result.duration >= 0);
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REQUIRE(result.model != "");
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}
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SECTION("to_string method")
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{
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platform::Result result(testPath, testFile);
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result.load();
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std::string resultStr = result.to_string(1);
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REQUIRE(resultStr != "");
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}
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SECTION("Exception handling in load method")
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{
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std::string invalidFile = "invalid.json";
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auto result = platform::Result();
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REQUIRE_THROWS_AS(platform::result.load(testPath, invalidFile), std::invalid_argument);
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}
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auto dotEnv = platform::DotEnv(true);
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auto margin = 1e-2;
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std::string dataset = "liver-disorders";
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auto dt = platform::Datasets(false, platform::Paths::datasets());
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dt.loadDataset(dataset);
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std::vector<int> distribution = dt.getClassesCounts(dataset);
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double nSamples = dt.getNSamples(dataset);
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std::vector<int>::iterator maxValue = max_element(distribution.begin(), distribution.end());
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double mark = *maxValue / nSamples * (1 + margin);
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REQUIRE(mark == Catch::Approx(0.585507f).epsilon(1e-5));
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}
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8
tests/data/all.txt
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8
tests/data/all.txt
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@@ -0,0 +1,8 @@
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diabetes,class, all
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ecoli,class, all
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glass,Type, all
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iris,class, all
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kdd_JapaneseVowels,speaker, [2,3,4,5,6,7,8,9,10,11,12,13]
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letter,class, all
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liver-disorders,selector, all
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mfeat-factors,class, all
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