Try tests in build action

.github/workflows/build.yml

@@ -3,6 +3,7 @@ on:
   push:
     branches:
       - main
+      - test
   pull_request:
     types: [opened, synchronize, reopened]
 jobs:
@@ -15,16 +16,18 @@ jobs:
       - uses: actions/checkout@v3
         with:
           fetch-depth: 0 # Shallow clones should be disabled for a better relevancy of analysis
-      - name: Install sonar-scanner and build-wrapper
+      - name: Tests & build-wrapper
-        uses: SonarSource/sonarcloud-github-c-cpp@v1
-      - name: Run build-wrapper
         run: |
           mkdir build
-          cmake -S . -B build
+          cmake -S . -B build -Wno-dev 
           build-wrapper-linux-x86-64 --out-dir ${{ env.BUILD_WRAPPER_OUT_DIR }} cmake --build build/ --config Release
+          cd build
+          ctest -C Release --output-on-failure
+      - name: Install sonar-scanner and build-wrapper
+        uses: SonarSource/sonarcloud-github-c-cpp@v1
       - name: Run sonar-scanner
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} # Put the name of your token here
+          SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}
         run: |
           sonar-scanner --define sonar.cfamily.build-wrapper-output="${{ env.BUILD_WRAPPER_OUT_DIR }}"

.gitignore

@@ -34,4 +34,5 @@
 **/lcoverage
 .idea
 cmake-*
-**/CMakeFiles
+**/CMakeFiles
+.vscode/*

.vscode/settings.json

@@ -1,5 +1,6 @@
 {
     "sonarlint.connectedMode.project": {
-        "projectKey": "rmontanana_mdlp_AYZkjILJHyjW-meBaElG"
+        "connectionId": "sonarcloud",
+        "projectKey": "rmontanana_mdlp"
     }
 }

README.md

@@ -1,3 +1,7 @@
+[![Build](https://github.com/rmontanana/mdlp/actions/workflows/build.yml/badge.svg)](https://github.com/rmontanana/mdlp/actions/workflows/build.yml)
+[![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=rmontanana_mdlp&metric=alert_status)](https://sonarcloud.io/summary/new_code?id=rmontanana_mdlp)
+[![Reliability Rating](https://sonarcloud.io/api/project_badges/measure?project=rmontanana_mdlp&metric=reliability_rating)](https://sonarcloud.io/summary/new_code?id=rmontanana_mdlp)
+
 # mdlp
 
 Discretization algorithm based on the paper by Fayyad & Irani [Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning](https://www.ijcai.org/Proceedings/93-2/Papers/022.pdf)
@@ -7,6 +11,11 @@ The implementation tries to mitigate the problem of different label values with
 - Sorts the values of the variable using the label values as a tie-breaker
 - Once found a valid candidate for the split, it checks if the previous value is the same as actual one, and tries to get previous one, or next if the former is not possible.
 
+Other features:
+
+- Intervals with the same value of the variable are not taken into account for cutpoints.
+- Intervals have to have more than two examples to be evaluated.
+
 The algorithm returns the cut points for the variable.
 
 ## Sample