Minify the library to a stub, to start building it for arm64 using Qemu

.github/workflows/build-test-gha-branches.yml

@@ -33,39 +33,14 @@ jobs:
       - make-source-dist
     strategy:
       matrix:
-        python_version: ['3.8', '3.13']
+        python_version: ['3.8']
     steps:
       - name: Install Python
         uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python_version }}
       - name: Install Python packages
         run: pip${{ matrix.python_version }} install build auditwheel twine Chrones
-      - name: Install CUDA
-        run: |
-          sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
-          sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
-          sudo apt-get update
-          sudo apt-get install --yes --no-install-recommends cuda-cudart-dev-12-4 cuda-nvcc-12-4
-          echo "/usr/local/cuda-12.4/bin" >>$GITHUB_PATH
-      - name: Install Boost
-        run: |
-            cd /home/runner/work
-            wget https://boostorg.jfrog.io/artifactory/main/release/1.82.0/source/boost_1_82_0.tar.gz
-            tar xf boost_*.tar.gz
-            rm boost_*.tar.gz
-            cd boost_*
-            sudo cp -r boost /usr/local/include
-      - name: Install OR-Tools
-        run: |
-            cd /home/runner/work
-            wget https://github.com/google/or-tools/releases/download/v9.11/or-tools_amd64_ubuntu-20.04_cpp_v9.11.4210.tar.gz
-            tar xf or-tools_*.tar.gz
-            rm or-tools_*.tar.gz
-            cd or-tools_*
-            sudo cp -r include/* /usr/local/include
-            sudo cp -r lib/* /usr/local/lib
-            sudo ldconfig
       - name: Install patchelf
         run: |
             cd /home/runner/work
@@ -86,9 +61,6 @@ jobs:
 
       - name: Build the wheel
         run: python${{ matrix.python_version }} -m build --wheel --outdir local-dist lincs-*
-        env:
-          LINCS_DEV_FORCE_NVCC: "true"
-          LINCS_DEV_FORCE_CHRONES: "true"
       - name: Make the wheel machine-independent
         run: auditwheel repair --plat manylinux_2_31_x86_64 --strip local-dist/*.whl --wheel-dir dist
       - name: Check the wheel
@@ -100,178 +72,16 @@ jobs:
           name: wheel-dist-${{ matrix.python_version }}-linux
           path: dist
 
-  build-for-windows:
-    runs-on: windows-2022
-    needs:
-      - make-source-dist
-    strategy:
-      matrix:
-        python_version: ['3.8', '3.13']
-    steps:
-      - name: Install Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python_version }}
-      - name: Install Python packages
-        run: pip install build delvewheel twine
-      - name: Install CUDA
-        uses: Jimver/[email protected]
-        id: cuda-toolkit
-        with:
-          cuda: '12.4.1'
-          use-github-cache: false
-          use-local-cache: false
-          method: network
-          # Package names from https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html#id2
-          sub-packages: '["nvcc", "cudart"]'
-      - name: Install MSys2
-        uses: msys2/setup-msys2@v2
-        with:
-          update: true
-          msystem: UCRT64
-          install: >-
-              gzip
-              tar
-              unzip
-              wget
-      - name: Install boost
-        shell: msys2 {0}
-        run: |
-            cd /d/a
-            wget https://boostorg.jfrog.io/artifactory/main/release/1.82.0/source/boost_1_82_0.tar.gz
-            tar xf boost_*.tar.gz
-            rm boost_*.tar.gz
-            mv boost_* boost
-            cd boost
-            mkdir -p /d/lincs-deps/include /d/lincs-deps/lib
-            cp -r boost /d/lincs-deps/include
-      - name: Install OR-Tools
-        shell: msys2 {0}
-        run: |
-            cd /d/a
-            wget https://github.com/google/or-tools/releases/download/v9.11/or-tools_x64_VisualStudio2022_cpp_v9.11.4210.zip
-            unzip or-tools_*.zip
-            rm or-tools_*.zip
-            cd or-tools_*
-            cp -r include/* /d/lincs-deps/include
-            cp -r lib/* /d/lincs-deps/lib
-
-      - name: Download the source distribution from GitHub Actions artifacts
-        uses: actions/download-artifact@v4
-        with:
-          name: source-dist
-      - name: Unzip the source distribution
-        shell: msys2 {0}
-        run: |
-            tar xf *.tar.gz
-            rm *.tar.gz
-
-      - name: Build the wheel
-        run: python -m build --wheel --outdir local-dist (get-item lincs-*)
-        env:
-          LINCS_DEV_FORCE_NVCC: "true"
-          LINCS_DEV_DEPENDENCIES: d:\lincs-deps
-      - name: Make the wheel machine-independent
-        run: delvewheel repair --strip (get-item local-dist\*.whl) --wheel-dir dist --add-path d:\lincs-deps\lib
-      - name: Check the wheel
-        run: twine check (get-item dist\*.whl)
-
-      - name: Upload the wheel to GitHub Actions artifacts
-        uses: actions/upload-artifact@v4
-        with:
-          name: wheel-dist-${{ matrix.python_version }}-windows
-          path: dist
-
-  build-for-macos:
-    runs-on: macos-13
-    needs:
-      - make-source-dist
-    strategy:
-      matrix:
-        python_version: ['3.8', '3.13']
-    env:
-      MACOSX_DEPLOYMENT_TARGET: 12.0
-    steps:
-      - name: Install Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python_version }}
-      - name: Install Python packages
-        run: pip3 install build delocate twine
-      - name: Install OpenMP
-        run: |
-            cd /Users/runner/work
-            mkdir openmp
-            cd openmp
-            wget https://mac.r-project.org/openmp/openmp-16.0.4-darwin20-Release.tar.gz
-            tar xf *.tar.gz
-            sudo cp usr/local/lib/* /usr/local/lib
-            sudo cp usr/local/include/* /usr/local/include
-      - name: Install Boost
-        run: |
-            cd /Users/runner/work
-            wget https://boostorg.jfrog.io/artifactory/main/release/1.82.0/source/boost_1_82_0.tar.gz
-            tar xf boost_*.tar.gz
-            rm boost_*.tar.gz
-            cd boost_*
-            sudo cp -r boost /usr/local/include
-      - name: Install OR-Tools
-        run: |
-            cd /Users/runner/work
-            wget https://github.com/google/or-tools/releases/download/v9.11/or-tools_x86_64_macOS-14.6.1_cpp_v9.11.4210.tar.gz
-            tar xf or-tools_x86_64_*.tar.gz
-            rm or-tools_x86_64_*.tar.gz
-            wget https://github.com/google/or-tools/releases/download/v9.11/or-tools_arm64_macOS-14.6.1_cpp_v9.11.4210.tar.gz
-            tar xf or-tools_arm64_*.tar.gz
-            rm or-tools_arm64_*.tar.gz
-            sudo cp -r or-tools_arm64_*/include/* /usr/local/include
-            lipo or-tools*/lib/libortools.9.11.dylib -output /usr/local/lib/libortools.9.11.dylib -create
-            cd /usr/local/lib
-            ln -s libortools.9.11.dylib libortools.9.dylib
-            ln -s libortools.9.dylib libortools.dylib
-
-      - name: Download the source distribution from GitHub Actions artifacts
-        uses: actions/download-artifact@v4
-        with:
-          name: source-dist
-      - name: Unzip the source distribution
-        run: |
-            tar xf *.tar.gz
-            rm *.tar.gz
-
-      - name: Build the wheel
-        run: python3 -m build --wheel --outdir local-dist lincs-*
-      - name: Make the wheel machine-independent
-        run: delocate-wheel --wheel-dir dist local-dist/*.whl
-      - name: Check the wheel
-        run: twine check dist/*.whl
-
-      - name: Upload the wheel to GitHub Actions artifacts
-        uses: actions/upload-artifact@v4
-        with:
-          name: wheel-dist-${{ matrix.python_version }}-macos
-          path: dist
-
   check:
     runs-on: ${{ matrix.os }}
     needs:
       - build-for-linux
-      - build-for-windows
-      - build-for-macos
     strategy:
       fail-fast: false
       matrix:
         os:
           - ubuntu-20.04
-          - ubuntu-22.04
-          - ubuntu-24.04
-          - windows-2019
-          - windows-2022
-          - macos-12
-          - macos-13
-          - macos-14
-          - macos-15
-        python_version: ['3.8', '3.13']
+        python_version: ['3.8']
         exclude:
           # Older Python versions don't build 'universal2' wheels, so they can't run on the M1 runner that run macOS 14 and 15
           - os: macos-14
@@ -304,8 +114,3 @@ jobs:
 
       - name: Run lincs
         run: lincs --help
-      - run: lincs generate classification-problem 3 2 --output-problem problem.yml
-      - run: lincs generate classification-model problem.yml --output-model model.yml
-      - run: lincs generate classified-alternatives problem.yml model.yml 100 --output-alternatives learning-set.csv
-      - run: lincs learn classification-model problem.yml learning-set.csv --output-model learned-model.yml
-      - run: lincs classification-accuracy problem.yml learned-model.yml learning-set.csv

doc-sources/get-started/get-started.ipynb

@@ -80,7 +80,7 @@
     }
    ],
    "source": [
-    "lincs generate classification-problem 4 3 --output-problem problem.yml\n",
+    "lincs generate classification-problem 4 3 --output-problem problem.yml --random-seed 40\n",
     "cat problem.yml"
    ]
   },
@@ -147,7 +147,7 @@
     }
    ],
    "source": [
-    "lincs generate classification-model problem.yml --output-model model.yml\n",
+    "lincs generate classification-model problem.yml --output-model model.yml --random-seed 41\n",
     "cat model.yml"
    ]
   },
@@ -222,7 +222,7 @@
     }
    ],
    "source": [
-    "lincs generate classified-alternatives problem.yml model.yml 1000 --output-alternatives learning-set.csv\n",
+    "lincs generate classified-alternatives problem.yml model.yml 1000 --output-alternatives learning-set.csv --random-seed 42\n",
     "head -n 7 learning-set.csv"
    ]
   },
@@ -281,7 +281,7 @@
     }
    ],
    "source": [
-    "lincs learn classification-model problem.yml learning-set.csv --output-model trained-model.yml\n",
+    "lincs learn classification-model problem.yml learning-set.csv --output-model trained-model.yml --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43\n",
     "cat trained-model.yml"
    ]
   },
@@ -296,7 +296,7 @@
    },
    "outputs": [],
    "source": [
-    "lincs generate classified-alternatives problem.yml model.yml 3000 --output-alternatives testing-set.csv"
+    "lincs generate classified-alternatives problem.yml model.yml 3000 --output-alternatives testing-set.csv --random-seed 44\n"
    ]
   },
   {
@@ -335,7 +335,7 @@
    ],
    "source": [
     "lincs classify problem.yml trained-model.yml testing-set.csv --output-alternatives reclassified-testing-set.csv\n",
-    "diff testing-set.csv reclassified-testing-set.csv"
+    "diff testing-set.csv reclassified-testing-set.csv | tail -n +5\n"
    ]
   },
   {

doc-sources/user-guide/alglib-learning/alglib-learning.ipynb

@@ -49,7 +49,7 @@
    ],
    "source": [
     "lincs learn classification-model problem.yml learning-set.csv \\\n",
-    "  --mrsort.weights-profiles-breed.linear-program.solver alglib"
+    "  --mrsort.weights-profiles-breed.linear-program.solver alglib --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43\n"
    ]
   }
  ],

doc-sources/user-guide/gpu-learning/gpu-learning.ipynb

@@ -49,7 +49,7 @@
    ],
    "source": [
     "lincs learn classification-model problem.yml learning-set.csv \\\n",
-    "  --mrsort.weights-profiles-breed.accuracy-heuristic.processor gpu"
+    "  --mrsort.weights-profiles-breed.accuracy-heuristic.processor gpu --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 43\n"
    ]
   }
  ],

doc-sources/user-guide/synthetic-data/synthetic-data.ipynb

@@ -46,7 +46,7 @@
     }
    ],
    "source": [
-    "lincs generate classification-problem 4 3"
+    "lincs generate classification-problem 4 3 --random-seed 57 | tee problem.yml\n"
    ]
   },
   {
@@ -84,7 +84,7 @@
     }
    ],
    "source": [
-    "lincs generate classification-model problem.yml"
+    "lincs generate classification-model problem.yml --random-seed 58 | tee model.yml\n"
    ]
   },
   {
@@ -207,7 +207,7 @@
     }
    ],
    "source": [
-    "lincs generate classified-alternatives problem.yml model.yml 100"
+    "lincs generate classified-alternatives problem.yml model.yml 100 --random-seed 59 | tee learning-set.csv\n"
    ]
   },
   {
@@ -245,7 +245,7 @@
     }
    ],
    "source": [
-    "lincs learn classification-model problem.yml learning-set.csv"
+    "lincs learn classification-model problem.yml learning-set.csv --mrsort.weights-profiles-breed.accuracy-heuristic.random-seed 60\n"
    ]
   }
  ],

lincs/__init__.py

@@ -8,30 +8,6 @@
 It contains general information (version, GPU availability, *etc.*) and items of general usage (*e.g.* the exception for invalid data).
 """
 
-# General exceptions
-from liblincs import DataValidationException, LearningFailureException
-
-# General utilities
-from liblincs import UniformRandomBitsGenerator
-
-# Classification
-from . import classification
-
 # General information
 __version__ = "2.0.0a7.dev0"
-has_gpu = hasattr(classification, "ImproveProfilesWithAccuracyHeuristicOnGpu")
-
-try:
-    del visualization
-except NameError:
-    pass
-
-try:
-    del description
-except NameError:
-    pass
-
-try:
-    del command_line_interface
-except NameError:
-    pass
+has_gpu = False