bump version to 2.3.2

* FillRectilinear bugfix

* cleaning

* Revert "cleaning"

This reverts commit 0de21ada78.

* Filltrapezoidal is OK

* Filltrapezoidal fix 2

.clang-format

@@ -5,7 +5,7 @@ Language:        Cpp
 AccessModifierOffset: -4
 AlignAfterOpenBracket: Align
 AlignConsecutiveAssignments: true
-AlignConsecutiveDeclarations: false
+AlignConsecutiveDeclarations: true
 AlignEscapedNewlines: DontAlign
 AlignOperands:   true
 AlignTrailingComments: true

.devcontainer/devcontainer.json

@@ -4,7 +4,7 @@
 		"dockerfile": "Dockerfile",
 			"args": {
 				"PLATFORM": "linux/amd64",
-				"BASE_IMAGE": "mcr.microsoft.com/devcontainers/cpp:ubuntu-24.04"
+				"BASE_IMAGE": "mcr.microsoft.com/devcontainers/cpp:ubuntu-22.04"
 			},
 			"options": ["--platform=linux/amd64"]
 	},

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -11,15 +11,6 @@ body:
         For this, please use the [Feature request](https://github.com/OrcaSlicer/OrcaSlicer/issues/new?assignees=&labels=&projects=&template=feature_request.yml) issue type or you can discuss your idea on our [Discord server](https://discord.gg/P4VE9UY9gJ) with others.
         
         Before filing, please check if the issue already exists (either open or closed) by using the search bar on the issues page. If it does, comment there. Even if it's closed, we can reopen it based on your comment.
-  - type: checkboxes
-    attributes:
-      label: Is this issue reproducible in the latest nightly build?
-      description: >
-        Please verify this issue still happens in the latest nightly build first. It may already be fixed there:
-        [Nightly builds](https://github.com/OrcaSlicer/OrcaSlicer/releases/tag/nightly-builds).
-      options:
-        - label: I have checked the latest nightly build and the issue is still reproducible
-          required: true
   - type: checkboxes
     attributes:
       label: Is there an existing issue for this problem?

.github/pull_request_template.md

@@ -19,9 +19,3 @@
 <!--
 > Please describe the tests that you have conducted to verify the changes made in this PR.
 -->
-
-<!--
-> A guide for users on how to download the artifacts from this PR.
--->
-
-[How to Download Pull Requests Artifacts for Testing](https://www.orcaslicer.com/wiki/how_to_download_pr_artifacts)

.github/workflows/auto-close-duplicates.yml

@@ -15,7 +15,7 @@ jobs:
 
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
 
       - name: Setup Bun
         uses: oven-sh/setup-bun@v2

.github/workflows/backfill-duplicate-comments.yml

@@ -29,7 +29,7 @@ jobs:
 
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
       
       - name: Setup Bun
         uses: oven-sh/setup-bun@v2

.github/workflows/build_all.yml

@@ -5,7 +5,6 @@ on:
     branches:
      - main
      - release/*
-     - belt-printer
     paths:
      - 'deps/**'
      - 'src/**'
@@ -15,8 +14,6 @@ on:
      - 'resources/**'
      - ".github/workflows/build_*.yml"
      - 'scripts/flatpak/**'
-     - 'scripts/msix/**'
-     - 'tests/**'
 
   pull_request:
     branches:
@@ -30,12 +27,9 @@ on:
      - 'version.inc'
      - ".github/workflows/build_*.yml"
      - 'build_linux.sh'
-     - 'build_release_vs.bat'
      - 'build_release_vs2022.bat'
      - 'build_release_macos.sh'
      - 'scripts/flatpak/**'
-     - 'scripts/msix/**'
-     - 'tests/**'
 
 
   schedule:
@@ -57,42 +51,19 @@ jobs:
   build_linux:
     strategy:
       fail-fast: false
-      # Build both arches on every event (PRs included), through the same
-      # build_check_cache -> build_deps -> build_orca chain (the AppImage).
-      # aarch64 always uses the GitHub-hosted arm runner (there is no arm
-      # self-hosted server). amd64's empty arch is load-bearing: it keeps the
-      # historical 'linux-clang' deps cache key and the unsuffixed asset names.
-      matrix:
-        include:
-          - arch: ""
-            os: ${{ vars.SELF_HOSTED && 'orca-lnx-server' || 'ubuntu-24.04' }}
-          - arch: "aarch64"
-            os: ubuntu-24.04-arm
     # Don't run scheduled builds on forks:
     if: ${{ !cancelled() && (github.event_name != 'schedule' || github.repository == 'OrcaSlicer/OrcaSlicer') }}
     uses: ./.github/workflows/build_check_cache.yml
     with:
-      os: ${{ matrix.os }}
-      arch: ${{ matrix.arch }}
+      os: ${{ vars.SELF_HOSTED && 'orca-lnx-server' || 'ubuntu-24.04' }}
       build-deps-only: ${{ inputs.build-deps-only || false }}
     secrets: inherit
   build_windows:
-    name: Build Windows ${{ matrix.arch }}
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-          - arch: x64
-            os: windows-latest
-          - arch: arm64
-            os: windows-11-arm
     # Don't run scheduled builds on forks:
     if: ${{ !cancelled() && (github.event_name != 'schedule' || github.repository == 'OrcaSlicer/OrcaSlicer') }}
     uses: ./.github/workflows/build_check_cache.yml
     with:
-      # Self-hosted runner is x64-only; ARM64 always uses the GitHub-hosted runner.
-      os: ${{ (matrix.arch == 'x64' && vars.SELF_HOSTED) && 'orca-win-server' || matrix.os }}
-      arch: ${{ matrix.arch }}
+      os: ${{ vars.SELF_HOSTED && 'orca-win-server' || 'windows-latest' }}
       build-deps-only: ${{ inputs.build-deps-only || false }}
       force-build: ${{ github.event_name == 'schedule' }}
     secrets: inherit
@@ -124,14 +95,12 @@ jobs:
     secrets: inherit
   unit_tests:
     name: Unit Tests
-    # Tests are built on the aarch64 leg by default (faster GitHub arm runner),
-    # so run them there; self-hosted builds them on the amd64 server instead.
-    runs-on: ${{ vars.SELF_HOSTED && 'orca-lnx-server' || 'ubuntu-24.04-arm' }}
+    runs-on: ${{ vars.SELF_HOSTED && 'orca-lnx-server' || 'ubuntu-24.04' }}
     needs: build_linux
     if: ${{ !cancelled() && success() }}
     steps:
       - name: Checkout
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
         with:
           sparse-checkout: |
             .github
@@ -141,7 +110,7 @@ jobs:
         if: ${{ !vars.SELF_HOSTED }}
         uses: ./.github/actions/apt-install-deps
       - name: Restore Test Artifact
-        uses: actions/download-artifact@v8
+        uses: actions/download-artifact@v7
         with:
           name: ${{ github.sha }}-tests
       - uses: lukka/get-cmake@latest
@@ -155,7 +124,7 @@ jobs:
           tar -xvf build_tests.tar
           scripts/run_unit_tests.sh
       - name: Upload Test Logs
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v6
         if: ${{ failure() }}
         with:
           name: unit-test-logs
@@ -167,13 +136,13 @@ jobs:
           files: "ctest_results.xml"
       - name: Delete Test Artifact
         if: success()
-        uses: geekyeggo/delete-artifact@v6
+        uses: geekyeggo/delete-artifact@v5
         with:
           name: ${{ github.sha }}-tests
   flatpak:
     name: "Flatpak"
     container:
-      image: ghcr.io/flathub-infra/flatpak-github-actions:gnome-50
+      image: ghcr.io/flathub-infra/flatpak-github-actions:gnome-49
       options: --privileged
       volumes:
         - /usr/local/lib/android:/usr/local/lib/android
@@ -191,20 +160,16 @@ jobs:
             runner: ubuntu-24.04-arm
     # Don't run scheduled builds on forks; skip entirely on self-hosted runners
     if: ${{ !cancelled() && !vars.SELF_HOSTED && (github.event_name != 'schedule' || github.repository == 'OrcaSlicer/OrcaSlicer') }}
-
     runs-on: ${{ matrix.variant.runner }}
     env:
       date:
       ver:
       ver_pure:
-      # Belt-printer nightlies share the main nightly release but carry a `_belt`
-      # suffix so they never overwrite the main assets.
-      nightly_suffix: ${{ github.ref == 'refs/heads/belt-printer' && '_belt' || '' }}
     steps:
     - name: "Remove unneeded stuff to free disk space"
       run:
         rm -rf /usr/local/lib/android/* /usr/share/dotnet/* /opt/ghc1/* "/usr/local/share/boost1/*" /opt/hostedtoolcache1/*
-    - uses: actions/checkout@v7
+    - uses: actions/checkout@v6
     - name: Get the version and date
       run: |
         ver_pure=$(grep 'set(SoftFever_VERSION' version.inc | cut -d '"' -f2)
@@ -223,14 +188,14 @@ jobs:
     # Manage flatpak-builder cache externally so PRs restore but never upload
     - name: Restore flatpak-builder cache
       if: github.event_name == 'pull_request'
-      uses: actions/cache/restore@v6
+      uses: actions/cache/restore@v4
       with:
         path: .flatpak-builder
         key: flatpak-builder-${{ matrix.variant.arch }}-${{ github.event.pull_request.base.sha }}
         restore-keys: flatpak-builder-${{ matrix.variant.arch }}-
     - name: Save/restore flatpak-builder cache
       if: github.event_name != 'pull_request'
-      uses: actions/cache@v6
+      uses: actions/cache@v4
       with:
         path: .flatpak-builder
         key: flatpak-builder-${{ matrix.variant.arch }}-${{ github.sha }}
@@ -253,17 +218,18 @@ jobs:
         arch: ${{ matrix.variant.arch }}
         upload-artifact: false
     - name: Upload artifacts Flatpak
-      uses: actions/upload-artifact@v7
+      uses: actions/upload-artifact@v6
       with:
         name: OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak
         path: '/__w/OrcaSlicer/OrcaSlicer/OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak'
     - name: Deploy Flatpak to nightly release
-      if: github.repository == 'OrcaSlicer/OrcaSlicer' && (github.ref == 'refs/heads/main' || github.ref == 'refs/heads/belt-printer')
+      if: github.repository == 'OrcaSlicer/OrcaSlicer' && github.ref == 'refs/heads/main'
       uses: WebFreak001/deploy-nightly@v3.2.0
       with:
         upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}
         release_id: 137995723
         asset_path: /__w/OrcaSlicer/OrcaSlicer/OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak
-        asset_name: OrcaSlicer-Linux-flatpak_nightly${{ env.nightly_suffix }}_${{ matrix.variant.arch }}.flatpak
+        asset_name: OrcaSlicer-Linux-flatpak_nightly_${{ matrix.variant.arch }}.flatpak
         asset_content_type: application/octet-stream
         max_releases: 1 # optional, if there are more releases than this matching the asset_name, the oldest ones are going to be deleted
+

.github/workflows/build_check_cache.yml

@@ -26,19 +26,16 @@ jobs:
       valid-cache: ${{ steps.cache_deps.outputs.cache-hit }}
     steps:
       - name: Checkout
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
         with:
-          lfs: 'false'
+          lfs: 'true'
         
       - name: set outputs
         id: set_outputs
         env:
-          # Keep macOS/Windows cache keys architecture-specific. amd64 Linux passes
-          # no arch (key stays 'linux-clang', preserving the existing cache);
-          # aarch64 gets its own 'linux-clang-aarch64' key.
-          cache-os: ${{ runner.os == 'macOS' && format('macos-{0}', inputs.arch) || (runner.os == 'Windows' && format('windows-{0}', inputs.arch) || format('linux-clang{0}', inputs.arch && format('-{0}', inputs.arch) || '')) }}
-          # ARM64 builds use the build-arm64 tree (see build_release_vs.bat); x64/other use build.
-          dep-folder-name: ${{ runner.os == 'macOS' && format('/{0}', inputs.arch) || (runner.os == 'Windows' && inputs.arch == 'arm64') && '-arm64/OrcaSlicer_dep' || '/OrcaSlicer_dep' }}
+          # Keep macOS cache keys and paths architecture-specific.
+          cache-os: ${{ runner.os == 'macOS' && format('macos-{0}', inputs.arch) || (runner.os == 'Windows' && 'windows' || 'linux-clang') }}
+          dep-folder-name: ${{ runner.os == 'macOS' && format('/{0}', inputs.arch) || '/OrcaSlicer_dep' }}
           output-cmd: ${{ runner.os == 'Windows' && '$env:GITHUB_OUTPUT' || '"$GITHUB_OUTPUT"'}}
         run: |
           echo cache-key=${{ env.cache-os }}-cache-orcaslicer_deps-build-${{ hashFiles('deps/**') }} >> ${{ env.output-cmd }}
@@ -46,7 +43,7 @@ jobs:
             
       - name: load cache
         id: cache_deps
-        uses: actions/cache@v6
+        uses: actions/cache@v5
         with:
           path: ${{ steps.set_outputs.outputs.cache-path }}
           key: ${{ steps.set_outputs.outputs.cache-key }}

.github/workflows/build_deps.yml

@@ -34,42 +34,25 @@ jobs:
 
       # Setup the environment
       - name: Checkout
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
         with:
-          lfs: 'false'
+          lfs: 'true'
 
       - name: load cached deps
-        uses: actions/cache@v6
+        uses: actions/cache@v5
         with:
           path: ${{ inputs.cache-path }}
           key: ${{ inputs.cache-key }}
 
       - uses: lukka/get-cmake@latest
-        # The windows-11-arm runner needs CMake <= 3.31 (handled in the next step).
-        if: ${{ !(runner.os == 'Windows' && inputs.arch == 'arm64') }}
         with:
           cmakeVersion: "~4.3.0"  # use most recent 4.3.x version
           useLocalCache: true         # <--= Use the local cache (default is 'false').
           useCloudCache: true
 
-      - name: Install CMake 3.31.x (Windows ARM64)
-        # windows-11-arm ships CMake 4.x, which removed pre-3.5 policy
-        # compatibility AND has incomplete ASM_ARMASM linker modules
-        # (breaks Boost.Context on ARM64). Pin to the last 3.x release.
-        if: runner.os == 'Windows' && inputs.arch == 'arm64'
-        shell: pwsh
-        run: |
-          $ver = "3.31.6"
-          $url = "https://github.com/Kitware/CMake/releases/download/v$ver/cmake-$ver-windows-arm64.zip"
-          Invoke-WebRequest -Uri $url -OutFile "$env:RUNNER_TEMP\cmake.zip"
-          Expand-Archive -Path "$env:RUNNER_TEMP\cmake.zip" -DestinationPath "$env:RUNNER_TEMP\cmake" -Force
-          $cmakeBin = "$env:RUNNER_TEMP\cmake\cmake-$ver-windows-arm64\bin"
-          if (-not (Test-Path "$cmakeBin\cmake.exe")) { throw "cmake.exe not found at $cmakeBin" }
-          Add-Content -Path $env:GITHUB_PATH -Value $cmakeBin
-
       - name: setup dev on Windows
         if: runner.os == 'Windows'
-        uses: microsoft/setup-msbuild@v3
+        uses: microsoft/setup-msbuild@v2
 
       - name: Get the date on Ubuntu and macOS
         if: runner.os != 'Windows'
@@ -82,50 +65,6 @@ jobs:
         shell: pwsh
 
 
-      - name: Install MSYS2 (clangarm64) with GMP/MPFR and LLVM tools
-        if: runner.os == 'Windows' && inputs.arch == 'arm64'
-        uses: msys2/setup-msys2@v2
-        with:
-          msystem: CLANGARM64
-          update: true
-          install: >-
-            mingw-w64-clang-aarch64-gmp
-            mingw-w64-clang-aarch64-mpfr
-            mingw-w64-clang-aarch64-llvm
-
-      - name: Stage ARM64 GMP/MPFR (no prebuilt blobs exist for win-arm64)
-        # GMP/MPFR ship prebuilt x64/x86 blobs in-tree but none for ARM64.
-        # Pull them from MSYS2 clangarm64 and generate MSVC import libs via
-        # llvm-dlltool, then stage into deps/{GMP,MPFR}/.../win-arm64 where the
-        # MSVC branch of GMP.cmake/MPFR.cmake copies them into the dep prefix.
-        if: runner.os == 'Windows' && inputs.arch == 'arm64'
-        shell: msys2 {0}
-        run: |
-          set -euo pipefail
-          BIN=/clangarm64/bin
-          REPO=$(cygpath -u "$GITHUB_WORKSPACE")
-
-          make_import_lib() {
-            local dll="$1"; local lib="$2"; local def="/tmp/${dll%.dll}.def"
-            echo "EXPORTS" > "$def"
-            llvm-readobj --coff-exports "$BIN/$dll" | awk '/Name: /{print $2}' >> "$def"
-            llvm-dlltool -m arm64 -D "$dll" -d "$def" -l "$BIN/$lib"
-          }
-
-          make_import_lib libgmp-10.dll libgmp-10.lib
-
-          # MPFR 4.x ships as libmpfr-6.dll; rename to libmpfr-4 BEFORE generating
-          # the import lib so the baked-in runtime DLL name is correct.
-          MPFR_DLL=$(ls $BIN/libmpfr-*.dll | head -1 | xargs basename)
-          if [ "$MPFR_DLL" != "libmpfr-4.dll" ]; then cp "$BIN/$MPFR_DLL" "$BIN/libmpfr-4.dll"; fi
-          make_import_lib libmpfr-4.dll libmpfr-4.lib
-
-          mkdir -p $REPO/deps/GMP/gmp/lib/win-arm64 $REPO/deps/MPFR/mpfr/lib/win-arm64
-          cp $BIN/libgmp-10.dll $BIN/libgmp-10.lib $REPO/deps/GMP/gmp/lib/win-arm64/
-          cp $BIN/libmpfr-4.dll $BIN/libmpfr-4.lib $REPO/deps/MPFR/mpfr/lib/win-arm64/
-          cp /clangarm64/include/gmp.h  $REPO/deps/GMP/gmp/include/
-          cp /clangarm64/include/mpfr.h $REPO/deps/MPFR/mpfr/include/ || true
-
       # Build Dependencies
       - name: Build on Windows
         if: runner.os == 'Windows'
@@ -134,14 +73,8 @@ jobs:
             if (-not "${{ vars.SELF_HOSTED }}") {
               choco install strawberryperl
             }
-            $arch = "${{ inputs.arch }}"
-            if ($arch -eq "arm64") {
-              .\build_release_vs.bat deps arm64
-              .\build_release_vs.bat pack arm64
-            } else {
-              .\build_release_vs.bat deps
-              .\build_release_vs.bat pack
-            }
+            .\build_release_vs.bat deps
+            .\build_release_vs.bat pack
         shell: pwsh
 
       - name: Build on Mac ${{ inputs.arch }}

.github/workflows/build_orca.yml

@@ -29,49 +29,27 @@ jobs:
       ubuntu-ver: '2404'
       ubuntu-ver-str: '_Ubuntu2404'
       ORCA_UPDATER_SIG_KEY: ${{ secrets.ORCA_UPDATER_SIG_KEY }}
-      # Branches whose builds are published to the nightly release. The
-      # belt-printer branch ships alongside main but its assets carry a `_belt`
-      # suffix (nightly_suffix) so they never overwrite the main nightly assets.
-      deploy_nightly: ${{ github.ref == 'refs/heads/main' || github.ref == 'refs/heads/belt-printer' }}
-      nightly_suffix: ${{ github.ref == 'refs/heads/belt-printer' && '_belt' || '' }}
 
     steps:
       - name: Checkout
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
         with:
-          lfs: 'false'
+          lfs: 'true'
 
       - name: load cached deps
         if: ${{ !(runner.os == 'macOS' && inputs.macos-combine-only) }}
-        uses: actions/cache@v6
+        uses: actions/cache@v5
         with:
           path: ${{ inputs.cache-path }}
           key: ${{ inputs.cache-key }}
           fail-on-cache-miss: true
 
       - uses: lukka/get-cmake@latest
-        # The windows-11-arm runner needs CMake <= 3.31 (handled in the next step).
-        if: ${{ !(runner.os == 'Windows' && inputs.arch == 'arm64') }}
         with:
           cmakeVersion: "~4.3.0"  # use most recent 4.3.x version
           useLocalCache: true         # <--= Use the local cache (default is 'false').
           useCloudCache: true
 
-      - name: Install CMake 3.31.x (Windows ARM64)
-        # windows-11-arm ships CMake 4.x, which removed pre-3.5 policy
-        # compatibility AND has incomplete ASM_ARMASM linker modules
-        # (breaks Boost.Context on ARM64). Pin to the last 3.x release.
-        if: runner.os == 'Windows' && inputs.arch == 'arm64'
-        shell: pwsh
-        run: |
-          $ver = "3.31.6"
-          $url = "https://github.com/Kitware/CMake/releases/download/v$ver/cmake-$ver-windows-arm64.zip"
-          Invoke-WebRequest -Uri $url -OutFile "$env:RUNNER_TEMP\cmake.zip"
-          Expand-Archive -Path "$env:RUNNER_TEMP\cmake.zip" -DestinationPath "$env:RUNNER_TEMP\cmake" -Force
-          $cmakeBin = "$env:RUNNER_TEMP\cmake\cmake-$ver-windows-arm64\bin"
-          if (-not (Test-Path "$cmakeBin\cmake.exe")) { throw "cmake.exe not found at $cmakeBin" }
-          Add-Content -Path $env:GITHUB_PATH -Value $cmakeBin
-
       - name: Get the version and date on Ubuntu and macOS
         if: runner.os != 'Windows'
         run: |
@@ -87,11 +65,6 @@ jobs:
           echo "ver_pure=$ver_pure" >> $GITHUB_ENV
           echo "date=$(date +'%Y%m%d')" >> $GITHUB_ENV
           echo "git_commit_hash=$git_commit_hash" >> $GITHUB_ENV
-          # Per-arch Linux AppImage naming: amd64 keeps the historical unsuffixed
-          # name (arch_suffix empty). Unused on macOS/Windows.
-          if [ '${{ inputs.arch }}' = 'aarch64' ]; then
-            echo "arch_suffix=_aarch64" >> $GITHUB_ENV
-          fi
         shell: bash
 
       - name: Get the version and date on Windows
@@ -152,14 +125,14 @@ jobs:
 
       - name: Upload macOS app bundle ${{ inputs.arch }}
         if: runner.os == 'macOS' && !inputs.macos-combine-only
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v6
         with:
           name: OrcaSlicer_Mac_bundle_${{ inputs.arch }}_${{ github.sha }}
           path: ${{ github.workspace }}/OrcaSlicer_Mac_bundle_${{ inputs.arch }}_${{ github.sha }}.tar.gz
 
       - name: Download macOS app bundles
         if: runner.os == 'macOS' && inputs.macos-combine-only
-        uses: actions/download-artifact@v8
+        uses: actions/download-artifact@v7
         with:
           pattern: OrcaSlicer_Mac_bundle_*_${{ github.sha }}
           path: ${{ github.workspace }}/mac_bundles
@@ -180,9 +153,17 @@ jobs:
         run: |
           ./build_release_macos.sh -u -x ${{ !vars.SELF_HOSTED && '-1' || '' }} -a universal -t 10.15
 
+      - name: Delete intermediate per-arch artifacts
+        if: runner.os == 'macOS' && inputs.macos-combine-only
+        uses: geekyeggo/delete-artifact@v5
+        with:
+          name: |
+            OrcaSlicer_Mac_bundle_arm64_${{ github.sha }}
+            OrcaSlicer_Mac_bundle_x86_64_${{ github.sha }}
+
  # Thanks to RaySajuuk, it's working now
       - name: Sign app and notary
-        if: github.repository == 'OrcaSlicer/OrcaSlicer' && (github.ref == 'refs/heads/main' || github.ref == 'refs/heads/belt-printer' || startsWith(github.ref, 'refs/heads/release/')) && runner.os == 'macOS' && inputs.macos-combine-only
+        if: github.repository == 'OrcaSlicer/OrcaSlicer' && (github.ref == 'refs/heads/main' || startsWith(github.ref, 'refs/heads/release/')) && runner.os == 'macOS' && inputs.macos-combine-only
         working-directory: ${{ github.workspace }}
         env:
           BUILD_CERTIFICATE_BASE64: ${{ secrets.BUILD_CERTIFICATE_BASE64 }}
@@ -190,8 +171,6 @@ jobs:
           KEYCHAIN_PASSWORD: ${{ secrets.KEYCHAIN_PASSWORD }}
           CERTIFICATE_ID: ${{ secrets.MACOS_CERTIFICATE_ID }}
         run: |
-          # Load the `retry` helper (retries flaky commands such as `hdiutil create`).
-          source ${{ github.workspace }}/scripts/retry.sh
           CERTIFICATE_PATH=$RUNNER_TEMP/build_certificate.p12
           KEYCHAIN_PATH=$RUNNER_TEMP/app-signing.keychain-db
           echo -n "$BUILD_CERTIFICATE_BASE64" | base64 --decode --output $CERTIFICATE_PATH
@@ -204,14 +183,9 @@ jobs:
           security list-keychain -d user -s $KEYCHAIN_PATH
           security set-key-partition-list -S apple-tool:,apple:,codesign: -s -k $P12_PASSWORD $KEYCHAIN_PATH
           codesign --deep --force --verbose --options runtime --timestamp --entitlements ${{ github.workspace }}/scripts/disable_validation.entitlements --sign "$CERTIFICATE_ID" ${{ github.workspace }}/build/universal/OrcaSlicer/OrcaSlicer.app
-          # --deep is deprecated and signing/sealing can fail or skip files in
-          # non-standard layouts (python/bin, python/lib/**, tools/uv). Verify
-          # here so coverage gaps fail at CI time rather than at notarization.
-          codesign --verify --deep --strict --verbose=2 ${{ github.workspace }}/build/universal/OrcaSlicer/OrcaSlicer.app
           # Sign OrcaSlicer_profile_validator.app if it exists
           if [ -f "${{ github.workspace }}/build/universal/OrcaSlicer/OrcaSlicer_profile_validator.app/Contents/MacOS/OrcaSlicer_profile_validator" ]; then
             codesign --deep --force --verbose --options runtime --timestamp --entitlements ${{ github.workspace }}/scripts/disable_validation.entitlements --sign "$CERTIFICATE_ID" ${{ github.workspace }}/build/universal/OrcaSlicer/OrcaSlicer_profile_validator.app
-            codesign --verify --deep --strict --verbose=2 ${{ github.workspace }}/build/universal/OrcaSlicer/OrcaSlicer_profile_validator.app
           fi
           
           # Create main OrcaSlicer DMG without the profile validator helper
@@ -219,7 +193,7 @@ jobs:
           rm -rf ${{ github.workspace }}/build/universal/OrcaSlicer_dmg/*
           cp -R ${{ github.workspace }}/build/universal/OrcaSlicer/OrcaSlicer.app ${{ github.workspace }}/build/universal/OrcaSlicer_dmg/
           ln -sfn /Applications ${{ github.workspace }}/build/universal/OrcaSlicer_dmg/Applications
-          retry hdiutil create -volname "OrcaSlicer" -srcfolder ${{ github.workspace }}/build/universal/OrcaSlicer_dmg -ov -format UDZO OrcaSlicer_Mac_universal_${{ env.ver }}.dmg
+          hdiutil create -volname "OrcaSlicer" -srcfolder ${{ github.workspace }}/build/universal/OrcaSlicer_dmg -ov -format UDZO OrcaSlicer_Mac_universal_${{ env.ver }}.dmg
           codesign --deep --force --verbose --options runtime --timestamp --entitlements ${{ github.workspace }}/scripts/disable_validation.entitlements --sign "$CERTIFICATE_ID" OrcaSlicer_Mac_universal_${{ env.ver }}.dmg
           
           # Create separate OrcaSlicer_profile_validator DMG if the app exists
@@ -228,7 +202,7 @@ jobs:
             rm -rf ${{ github.workspace }}/build/universal/OrcaSlicer_profile_validator_dmg/*
             cp -R ${{ github.workspace }}/build/universal/OrcaSlicer/OrcaSlicer_profile_validator.app ${{ github.workspace }}/build/universal/OrcaSlicer_profile_validator_dmg/
             ln -sfn /Applications ${{ github.workspace }}/build/universal/OrcaSlicer_profile_validator_dmg/Applications
-            retry hdiutil create -volname "OrcaSlicer Profile Validator" -srcfolder ${{ github.workspace }}/build/universal/OrcaSlicer_profile_validator_dmg -ov -format UDZO OrcaSlicer_profile_validator_Mac_universal_${{ env.ver }}.dmg
+            hdiutil create -volname "OrcaSlicer Profile Validator" -srcfolder ${{ github.workspace }}/build/universal/OrcaSlicer_profile_validator_dmg -ov -format UDZO OrcaSlicer_profile_validator_Mac_universal_${{ env.ver }}.dmg
             codesign --deep --force --verbose --options runtime --timestamp --entitlements ${{ github.workspace }}/scripts/disable_validation.entitlements --sign "$CERTIFICATE_ID" OrcaSlicer_profile_validator_Mac_universal_${{ env.ver }}.dmg
           fi
           
@@ -243,16 +217,14 @@ jobs:
           fi
 
       - name: Create DMG without notary
-        if: github.ref != 'refs/heads/main' && github.ref != 'refs/heads/belt-printer' && runner.os == 'macOS' && inputs.macos-combine-only
+        if: github.ref != 'refs/heads/main' && runner.os == 'macOS' && inputs.macos-combine-only
         working-directory: ${{ github.workspace }}
         run: |
-          # Load the `retry` helper (retries flaky commands such as `hdiutil create`).
-          source ${{ github.workspace }}/scripts/retry.sh
           mkdir -p ${{ github.workspace }}/build/universal/OrcaSlicer_dmg
           rm -rf ${{ github.workspace }}/build/universal/OrcaSlicer_dmg/*
           cp -R ${{ github.workspace }}/build/universal/OrcaSlicer/OrcaSlicer.app ${{ github.workspace }}/build/universal/OrcaSlicer_dmg/
           ln -sfn /Applications ${{ github.workspace }}/build/universal/OrcaSlicer_dmg/Applications
-          retry hdiutil create -volname "OrcaSlicer" -srcfolder ${{ github.workspace }}/build/universal/OrcaSlicer_dmg -ov -format UDZO OrcaSlicer_Mac_universal_${{ env.ver }}.dmg
+          hdiutil create -volname "OrcaSlicer" -srcfolder ${{ github.workspace }}/build/universal/OrcaSlicer_dmg -ov -format UDZO OrcaSlicer_Mac_universal_${{ env.ver }}.dmg
           
           # Create separate OrcaSlicer_profile_validator DMG if the app exists
           if [ -f "${{ github.workspace }}/build/universal/OrcaSlicer/OrcaSlicer_profile_validator.app/Contents/MacOS/OrcaSlicer_profile_validator" ]; then
@@ -260,42 +232,32 @@ jobs:
             rm -rf ${{ github.workspace }}/build/universal/OrcaSlicer_profile_validator_dmg/*
             cp -R ${{ github.workspace }}/build/universal/OrcaSlicer/OrcaSlicer_profile_validator.app ${{ github.workspace }}/build/universal/OrcaSlicer_profile_validator_dmg/
             ln -sfn /Applications ${{ github.workspace }}/build/universal/OrcaSlicer_profile_validator_dmg/Applications
-            retry hdiutil create -volname "OrcaSlicer Profile Validator" -srcfolder ${{ github.workspace }}/build/universal/OrcaSlicer_profile_validator_dmg -ov -format UDZO OrcaSlicer_profile_validator_Mac_universal_${{ env.ver }}.dmg
+            hdiutil create -volname "OrcaSlicer Profile Validator" -srcfolder ${{ github.workspace }}/build/universal/OrcaSlicer_profile_validator_dmg -ov -format UDZO OrcaSlicer_profile_validator_Mac_universal_${{ env.ver }}.dmg
           fi
 
-      # Delete the per-arch bundles only after signing/DMG creation succeeded, so a
-      # failed run keeps them available for a re-run instead of forcing a full rebuild.
-      - name: Delete intermediate per-arch artifacts
-        if: success() && runner.os == 'macOS' && inputs.macos-combine-only
-        uses: geekyeggo/delete-artifact@v6
-        with:
-          name: |
-            OrcaSlicer_Mac_bundle_arm64_${{ github.sha }}
-            OrcaSlicer_Mac_bundle_x86_64_${{ github.sha }}
-
       - name: Upload artifacts mac
         if: runner.os == 'macOS' && inputs.macos-combine-only
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v6
         with:
           name: OrcaSlicer_Mac_universal_${{ env.ver }}
           path: ${{ github.workspace }}/OrcaSlicer_Mac_universal_${{ env.ver }}.dmg
 
       - name: Upload OrcaSlicer_profile_validator DMG mac
         if: runner.os == 'macOS' && inputs.macos-combine-only && !vars.SELF_HOSTED
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v6
         with:
           name: OrcaSlicer_profile_validator_Mac_universal_DMG_${{ env.ver }}
           path: ${{ github.workspace }}/OrcaSlicer_profile_validator_Mac_universal_${{ env.ver }}.dmg
           if-no-files-found: ignore
 
       - name: Deploy Mac release
-        if: github.repository == 'OrcaSlicer/OrcaSlicer' && env.deploy_nightly == 'true' && runner.os == 'macOS' && inputs.macos-combine-only && !vars.SELF_HOSTED
+        if: github.repository == 'OrcaSlicer/OrcaSlicer' && github.ref == 'refs/heads/main' && runner.os == 'macOS' && inputs.macos-combine-only && !vars.SELF_HOSTED
         uses: WebFreak001/deploy-nightly@v3.2.0
         with:
           upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}
           release_id: 137995723
           asset_path: ${{ github.workspace }}/OrcaSlicer_Mac_universal_${{ env.ver }}.dmg
-          asset_name: OrcaSlicer_Mac_universal_nightly${{ env.nightly_suffix }}.dmg
+          asset_name: OrcaSlicer_Mac_universal_nightly.dmg
           asset_content_type: application/octet-stream
           max_releases: 1 # optional, if there are more releases than this matching the asset_name, the oldest ones are going to be deleted
 
@@ -311,21 +273,9 @@ jobs:
           max_releases: 1
 
 # Windows
-      - name: Set Windows build variables
-        if: runner.os == 'Windows'
-        shell: pwsh
-        run: |
-          if ("${{ inputs.arch }}" -eq "arm64") {
-            "BUILD_DIR=build-arm64"  | Out-File -Append -FilePath $env:GITHUB_ENV -Encoding utf8
-            "ARCH_SUFFIX=_arm64"     | Out-File -Append -FilePath $env:GITHUB_ENV -Encoding utf8
-          } else {
-            "BUILD_DIR=build"        | Out-File -Append -FilePath $env:GITHUB_ENV -Encoding utf8
-            "ARCH_SUFFIX=_x64"       | Out-File -Append -FilePath $env:GITHUB_ENV -Encoding utf8
-          }
-
       - name: setup MSVC
         if: runner.os == 'Windows'
-        uses: microsoft/setup-msbuild@v3
+        uses: microsoft/setup-msbuild@v2
 
       - name: Install nsis
         if: runner.os == 'Windows' && !vars.SELF_HOSTED
@@ -336,87 +286,81 @@ jobs:
       - name: Build slicer Win
         if: runner.os == 'Windows'
         working-directory: ${{ github.workspace }}
-        # Orca: Removed Netfabb STL fixing service support in favor of CGAL.
-        # env:
-        #   WindowsSdkDir: 'C:\Program Files (x86)\Windows Kits\10\'
-        #   WindowsSDKVersion: '10.0.26100.0\'
-        run: |
-          $arch = "${{ inputs.arch }}"
-          if ($arch -eq "arm64") { .\build_release_vs.bat slicer arm64 } else { .\build_release_vs.bat slicer }
-        shell: pwsh
+        env:
+          WindowsSdkDir: 'C:\Program Files (x86)\Windows Kits\10\'
+          WindowsSDKVersion: '10.0.26100.0\'
+        run: .\build_release_vs.bat slicer
 
-      # NSIS is x86-only; it runs (and the installer it emits runs) under ARM64's
-      # x86 emulation, packaging the native arm64 payload from build-arm64.
       - name: Create installer Win
         if: runner.os == 'Windows' && !vars.SELF_HOSTED
-        working-directory: ${{ github.workspace }}/${{ env.BUILD_DIR }}
+        working-directory: ${{ github.workspace }}/build
         run: |
           cpack -G NSIS
 
       - name: Pack app
         if: runner.os == 'Windows'
-        working-directory: ${{ github.workspace }}/${{ env.BUILD_DIR }}
+        working-directory: ${{ github.workspace }}/build
         shell: cmd
-        run: '"C:/Program Files/7-Zip/7z.exe" a -tzip OrcaSlicer_Windows_${{ env.ver }}${{ env.ARCH_SUFFIX }}_portable.zip ${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer'
+        run: '"C:/Program Files/7-Zip/7z.exe" a -tzip OrcaSlicer_Windows_${{ env.ver }}_portable.zip ${{ github.workspace }}/build/OrcaSlicer'
 
       - name: Pack PDB
-        if: runner.os == 'Windows' && inputs.arch != 'arm64' && !vars.SELF_HOSTED
-        working-directory: ${{ github.workspace }}/${{ env.BUILD_DIR }}/src/Release
+        if: runner.os == 'Windows' && !vars.SELF_HOSTED
+        working-directory: ${{ github.workspace }}/build/src/Release
         shell: cmd
         run: '"C:/Program Files/7-Zip/7z.exe" a -m0=lzma2 -mx9 Debug_PDB_${{ env.ver }}_for_developers_only.7z  *.pdb'
 
       - name: Upload artifacts Win zip
         if: runner.os == 'Windows'
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v6
         with:
-          name: OrcaSlicer_Windows_${{ env.ver }}${{ env.ARCH_SUFFIX }}_portable
-          path: ${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer
+          name: OrcaSlicer_Windows_${{ env.ver }}_portable
+          path: ${{ github.workspace }}/build/OrcaSlicer
 
       - name: Upload artifacts Win installer
         if: runner.os == 'Windows' && !vars.SELF_HOSTED
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v6
         with:
-          name: OrcaSlicer_Windows_${{ env.ver }}${{ env.ARCH_SUFFIX }}
-          path: ${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer*.exe
+          name: OrcaSlicer_Windows_${{ env.ver }}
+          path: ${{ github.workspace }}/build/OrcaSlicer*.exe
 
       - name: Upload artifacts Win PDB
-        if: runner.os == 'Windows' && inputs.arch != 'arm64' && !vars.SELF_HOSTED
-        uses: actions/upload-artifact@v7
+        if: runner.os == 'Windows' && !vars.SELF_HOSTED
+        uses: actions/upload-artifact@v6
         with:
           name: PDB
           path: ${{ github.workspace }}/build/src/Release/Debug_PDB_${{ env.ver }}_for_developers_only.7z
 
       - name: Upload OrcaSlicer_profile_validator Win
-        if: runner.os == 'Windows' && inputs.arch != 'arm64' && !vars.SELF_HOSTED
-        uses: actions/upload-artifact@v7
+        if: runner.os == 'Windows' && !vars.SELF_HOSTED
+        uses: actions/upload-artifact@v6
         with:
           name: OrcaSlicer_profile_validator_Windows_${{ env.ver }}
           path: ${{ github.workspace }}/build/src/Release/OrcaSlicer_profile_validator.exe
 
       - name: Deploy Windows release portable
-        if: github.repository == 'OrcaSlicer/OrcaSlicer' && env.deploy_nightly == 'true' && runner.os == 'Windows' && !vars.SELF_HOSTED
+        if: github.repository == 'OrcaSlicer/OrcaSlicer' && github.ref == 'refs/heads/main' && runner.os == 'Windows' && !vars.SELF_HOSTED
         uses: WebFreak001/deploy-nightly@v3.2.0
         with:
           upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}
           release_id: 137995723
-          asset_path: ${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer_Windows_${{ env.ver }}${{ env.ARCH_SUFFIX }}_portable.zip
-          asset_name: OrcaSlicer_Windows${{ env.ARCH_SUFFIX }}_nightly${{ env.nightly_suffix }}_portable.zip
+          asset_path: ${{ github.workspace }}/build/OrcaSlicer_Windows_${{ env.ver }}_portable.zip
+          asset_name: OrcaSlicer_Windows_nightly_portable.zip
           asset_content_type: application/x-zip-compressed
           max_releases: 1
 
       - name: Deploy Windows release installer
-        if: github.repository == 'OrcaSlicer/OrcaSlicer' && env.deploy_nightly == 'true' && runner.os == 'Windows' && !vars.SELF_HOSTED
+        if: github.repository == 'OrcaSlicer/OrcaSlicer' && github.ref == 'refs/heads/main' && runner.os == 'Windows' && !vars.SELF_HOSTED
         uses: WebFreak001/deploy-nightly@v3.2.0
         with:
           upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}
           release_id: 137995723
-          asset_path: ${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer_Windows_Installer_${{ env.ver }}${{ env.ARCH_SUFFIX }}.exe
-          asset_name: OrcaSlicer_Windows_Installer${{ env.ARCH_SUFFIX }}_nightly${{ env.nightly_suffix }}.exe
+          asset_path: ${{ github.workspace }}/build/OrcaSlicer_Windows_Installer_${{ env.ver }}.exe
+          asset_name: OrcaSlicer_Windows_Installer_nightly.exe
           asset_content_type: application/x-msdownload
           max_releases: 1
 
       - name: Deploy Windows OrcaSlicer_profile_validator release
-        if: github.repository == 'OrcaSlicer/OrcaSlicer' && github.ref == 'refs/heads/main' && runner.os == 'Windows' && inputs.arch != 'arm64' && !vars.SELF_HOSTED
+        if: github.repository == 'OrcaSlicer/OrcaSlicer' && github.ref == 'refs/heads/main' && runner.os == 'Windows' && !vars.SELF_HOSTED
         uses: WebFreak001/deploy-nightly@v3.2.0
         with:
           upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}
@@ -426,26 +370,6 @@ jobs:
           asset_content_type: application/x-msdownload
           max_releases: 1
 
-      - name: Build MSIX Store package Win
-        if: runner.os == 'Windows' && !vars.SELF_HOSTED
-        working-directory: ${{ github.workspace }}
-        shell: pwsh
-        run: |
-          ./scripts/msix/build_msix.ps1 `
-            -InstallDir "${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer" `
-            -OutputPath "${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer_Windows_MSIX_${{ env.ver }}${{ env.ARCH_SUFFIX }}.msix" `
-            -Architecture "${{ inputs.arch }}" `
-            -IdentityName "${{ vars.ORCA_MSIX_IDENTITY_NAME || 'OrcaSlicer.OrcaSlicer' }}" `
-            -Publisher "${{ vars.ORCA_MSIX_PUBLISHER || 'CN=38F7EA55-C73B-4072-B3B2-C8E0EA15BB82' }}" `
-            -PublisherDisplayName "${{ vars.ORCA_MSIX_PUBLISHER_DISPLAY_NAME || 'OrcaSlicer' }}"
-
-      - name: Upload artifacts Win MSIX
-        if: runner.os == 'Windows' && !vars.SELF_HOSTED
-        uses: actions/upload-artifact@v7
-        with:
-          name: OrcaSlicer_Windows_MSIX_${{ env.ver }}${{ env.ARCH_SUFFIX }}
-          path: ${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer_Windows_MSIX_${{ env.ver }}${{ env.ARCH_SUFFIX }}.msix
-
 # Ubuntu
       - name: Apt-Install Dependencies
         if: runner.os == 'Linux' && !vars.SELF_HOSTED
@@ -457,24 +381,16 @@ jobs:
         if: runner.os == 'Linux'
         shell: bash
         run: |
-          # Build + tar the unit tests (-t) only on the leg that runs them: the
-          # aarch64 leg by default (faster GitHub arm runner), or amd64 when using
-          # self-hosted runners (no arm self-hosted server). unit_tests downloads
-          # this tarball. The profile validator is built with -s, so amd64 keeps it.
-          tests=${{ (!vars.SELF_HOSTED && inputs.arch == 'aarch64') || (vars.SELF_HOSTED && inputs.arch != 'aarch64') }}
-          if $tests; then flags=-istrlL; else flags=-isrlL; fi
-          ./build_linux.sh "$flags"
-          ./scripts/check_appimage_libs.sh ./build/package ./build/package/bin/orca-slicer
-          appimage=./build/OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}${{ env.arch_suffix }}_${{ env.ver }}.AppImage
-          mv -n ./build/OrcaSlicer_Linux_V${{ env.ver_pure }}.AppImage "$appimage"
-          chmod +x "$appimage"
-          if $tests; then tar -cvpf build_tests.tar build/tests; fi
+          ./build_linux.sh -istrlL
+          mv -n ./build/OrcaSlicer_Linux_V${{ env.ver_pure }}.AppImage ./build/OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}_${{ env.ver }}.AppImage
+          chmod +x ./build/OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}_${{ env.ver }}.AppImage
+          tar -cvpf build_tests.tar build/tests
 
         # Use tar because upload-artifacts won't always preserve directory structure
         # and doesn't preserve file permissions
       - name: Upload Test Artifact
-        if: runner.os == 'Linux' && ((!vars.SELF_HOSTED && inputs.arch == 'aarch64') || (vars.SELF_HOSTED && inputs.arch != 'aarch64'))
-        uses: actions/upload-artifact@v7
+        if: runner.os == 'Linux'
+        uses: actions/upload-artifact@v6
         with:
           name: ${{ github.sha }}-tests
           overwrite: true
@@ -482,18 +398,8 @@ jobs:
           retention-days: 5
           if-no-files-found: error
 
-      - name: Run external slicer regression tests
-        if: runner.os == 'Linux' && inputs.arch != 'aarch64'
-        timeout-minutes: 20
-        shell: bash
-        run: |
-          test_repo_dir="${{ runner.temp }}/orca-test-repo"
-          rm -rf "$test_repo_dir"
-          git clone --depth 1 https://github.com/OrcaSlicer/orca-test-repo.git "$test_repo_dir"
-          python3 "$test_repo_dir/run_test.py" "${{ github.workspace }}/build/package/bin/orca-slicer"
-
       - name: Build orca_custom_preset_tests
-        if: github.ref == 'refs/heads/main' && runner.os == 'Linux' && !vars.SELF_HOSTED && inputs.arch != 'aarch64'
+        if: github.ref == 'refs/heads/main' && runner.os == 'Linux' && !vars.SELF_HOSTED
         working-directory: ${{ github.workspace }}/build/src/Release
         shell: bash
         run: |
@@ -503,30 +409,30 @@ jobs:
 
       - name: Upload artifacts Ubuntu
         if: ${{ ! env.ACT && runner.os == 'Linux' }}
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v6
         with:
-          name: OrcaSlicer_Linux_ubuntu_${{ env.ubuntu-ver }}${{ env.arch_suffix }}_${{ env.ver }}
-          path: "./build/OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}${{ env.arch_suffix }}_${{ env.ver }}.AppImage"
+          name: OrcaSlicer_Linux_ubuntu_${{ env.ubuntu-ver }}_${{ env.ver }}
+          path: './build/OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}_${{ env.ver }}.AppImage'
 
       - name: Upload OrcaSlicer_profile_validator Ubuntu
-        if: ${{ ! env.ACT && runner.os == 'Linux' && !vars.SELF_HOSTED && inputs.arch != 'aarch64' }}
-        uses: actions/upload-artifact@v7
+        if: ${{ ! env.ACT && runner.os == 'Linux' && !vars.SELF_HOSTED }}
+        uses: actions/upload-artifact@v6
         with:
           name: OrcaSlicer_profile_validator_Linux_ubuntu_${{ env.ubuntu-ver }}_${{ env.ver }}
           path: './build/src/Release/OrcaSlicer_profile_validator'
 
       - name: Deploy Ubuntu release
-        if: ${{ github.repository == 'OrcaSlicer/OrcaSlicer' && ! env.ACT && env.deploy_nightly == 'true' && runner.os == 'Linux' && !vars.SELF_HOSTED }}
+        if: ${{ github.repository == 'OrcaSlicer/OrcaSlicer' && ! env.ACT && github.ref == 'refs/heads/main' && runner.os == 'Linux' && !vars.SELF_HOSTED }}
         uses: WebFreak001/deploy-nightly@v3.2.0
         with:
           upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}
           release_id: 137995723
-          asset_path: ./build/OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}${{ env.arch_suffix }}_${{ env.ver }}.AppImage
-          asset_name: OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}${{ env.arch_suffix }}_nightly${{ env.nightly_suffix }}.AppImage
+          asset_path: ./build/OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}_${{ env.ver }}.AppImage
+          asset_name: OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}_nightly.AppImage
           asset_content_type: application/octet-stream
           max_releases: 1 # optional, if there are more releases than this matching the asset_name, the oldest ones are going to be deleted
       - name: Deploy Ubuntu release
-        if: ${{ github.repository == 'OrcaSlicer/OrcaSlicer' && ! env.ACT && github.ref == 'refs/heads/main' && runner.os == 'Linux' && !vars.SELF_HOSTED && inputs.arch != 'aarch64' }}
+        if: ${{ github.repository == 'OrcaSlicer/OrcaSlicer' && ! env.ACT && github.ref == 'refs/heads/main' && runner.os == 'Linux' && !vars.SELF_HOSTED }}
         uses: rickstaa/action-create-tag@v1
         with:
           tag: "nightly-builds"
@@ -535,7 +441,7 @@ jobs:
           message: "nightly-builds"
 
       - name: Deploy Ubuntu OrcaSlicer_profile_validator release
-        if: ${{ github.repository == 'OrcaSlicer/OrcaSlicer' && ! env.ACT && github.ref == 'refs/heads/main' && runner.os == 'Linux' && !vars.SELF_HOSTED && inputs.arch != 'aarch64' }}
+        if: ${{ github.repository == 'OrcaSlicer/OrcaSlicer' && ! env.ACT && github.ref == 'refs/heads/main' && runner.os == 'Linux' && !vars.SELF_HOSTED }}
         uses: WebFreak001/deploy-nightly@v3.2.0
         with:
           upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}
@@ -546,7 +452,7 @@ jobs:
           max_releases: 1
 
       - name: Deploy orca_custom_preset_tests
-        if: ${{ github.repository == 'OrcaSlicer/OrcaSlicer' && ! env.ACT && github.ref == 'refs/heads/main' && runner.os == 'Linux' && !vars.SELF_HOSTED && inputs.arch != 'aarch64' }}
+        if: ${{ github.repository == 'OrcaSlicer/OrcaSlicer' && ! env.ACT && github.ref == 'refs/heads/main' && runner.os == 'Linux' && !vars.SELF_HOSTED }}
         uses: WebFreak001/deploy-nightly@v3.2.0
         with:
           upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}

.github/workflows/check_locale.yml

@@ -14,7 +14,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:  
       - name: Checkout repository
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
 
       - name: Install gettext 
         run: |

.github/workflows/check_profiles.yml

@@ -24,7 +24,7 @@ jobs:
     runs-on: ubuntu-24.04
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
 
       - name: Run extra JSON check
         id: extra_json_check
@@ -38,7 +38,7 @@ jobs:
       - name: Download
         working-directory: ${{ github.workspace }}
         run: |
-          curl -L -o OrcaSlicer_profile_validator https://github.com/OrcaSlicer/OrcaSlicer/releases/download/nightly-builds/OrcaSlicer_profile_validator_Linux_Ubuntu2404_nightly
+          curl -LJO https://github.com/SoftFever/Orca_tools/releases/download/1/OrcaSlicer_profile_validator
           chmod +x ./OrcaSlicer_profile_validator
 
       # validate profiles
@@ -49,142 +49,24 @@ jobs:
           set +e
           ./OrcaSlicer_profile_validator -p ${{ github.workspace }}/resources/profiles -l 2 2>&1 | tee ${{ runner.temp }}/validate_system.log
           exit ${PIPESTATUS[0]}
-      # For now run filament subtype check only for BBL profiles until we fix other vendors' profiles.
-      - name: validate filament subtype check for BBL profiles
-        id: validate_filament_subtypes
-        continue-on-error: true
-        run: |
-          set +e
-          ./OrcaSlicer_profile_validator -p ${{ github.workspace }}/resources/profiles -l 2 -v BBL -f 2>&1 | tee ${{ runner.temp }}/validate_filament_subtypes.log
-          exit ${PIPESTATUS[0]}
-      # Flag inherits/compatible_printers/compatible_prints references that point at a deleted or
-      # renamed preset. Opt-in per vendor for now (via -r); enabled for BBL and Qidi until other
-      # vendors' profiles are cleaned up. Runs before the custom-preset injection below.
-      - name: validate preset references for BBL and Qidi profiles
-        id: validate_preset_references
-        continue-on-error: true
-        run: |
-          set +e
-          rc=0
-          for v in BBL Qidi; do
-            ./OrcaSlicer_profile_validator -p ${{ github.workspace }}/resources/profiles -l 2 -v "$v" -r 2>&1 | tee -a ${{ runner.temp }}/validate_preset_references.log
-            [ ${PIPESTATUS[0]} -ne 0 ] && rc=1
-          done
-          exit $rc
 
       - name: validate custom presets
         id: validate_custom
         continue-on-error: true
         working-directory: ${{ github.workspace }}
         run: |
-          fixtures_dir="${{ runner.temp }}/profile-fixtures"
-          output_dir="${{ runner.temp }}/custom-preset-validation"
-          combined_log="${{ runner.temp }}/validate_custom.log"
-          summary="${output_dir}/summary.md"
-          release_url="https://github.com/OrcaSlicer/OrcaSlicer-profile-validator/releases/download/fixture-archive"
-
-          rm -rf "${fixtures_dir}" "${output_dir}"
-          mkdir -p "${fixtures_dir}" "${output_dir}"
-
-          curl -fsSL -o "${fixtures_dir}/manifest.json" "${release_url}/manifest.json"
-
-          MANIFEST_PATH="${fixtures_dir}/manifest.json" python3 <<'PY' > "${fixtures_dir}/fixtures.tsv"
-          import json
-          import os
-
-          with open(os.environ["MANIFEST_PATH"], encoding="utf-8") as fh:
-              manifest = json.load(fh)
-
-          if isinstance(manifest, dict):
-              entries = manifest.get("fixtures", [])
-          else:
-              entries = manifest
-
-          for entry in entries:
-              version = entry.get("version", "")
-              asset = entry.get("asset", "")
-              sha256 = entry.get("asset_sha256", "")
-              if not version or not asset:
-                  continue
-              print(f"{version}\t{asset}\t{sha256}")
-          PY
-
-          if [ ! -s "${fixtures_dir}/fixtures.tsv" ]; then
-            echo "No custom preset fixtures found in ${release_url}/manifest.json" | tee "${combined_log}"
-            exit 1
-          fi
-
-          {
-            echo "## Custom Preset Fixture Validation"
-            echo ""
-            echo "| Version | Status | Log |"
-            echo "| --- | --- | --- |"
-          } > "${summary}"
-
-          status=0
-          failed_logs=()
-
-          while IFS=$'\t' read -r version asset expected_sha256; do
-            fixture_zip="${fixtures_dir}/${asset}"
-            asset_url_name="$(python3 -c 'import sys, urllib.parse; print(urllib.parse.quote(sys.argv[1], safe=""))' "${asset}")"
-            profile_tree="${output_dir}/profiles-${version}"
-            log_path="${output_dir}/${version}.log"
-
-            curl -fsSL -o "${fixture_zip}" "${release_url}/${asset_url_name}"
-
-            if [ -n "${expected_sha256}" ] && [ "${expected_sha256}" != "<sha256>" ]; then
-              echo "${expected_sha256}  ${fixture_zip}" | sha256sum -c -
-            fi
-
-            rm -rf "${profile_tree}"
-            mkdir -p "${profile_tree}"
-            cp -a "${{ github.workspace }}/resources/profiles/." "${profile_tree}/"
-            rm -rf "${profile_tree}/user"
-            unzip -q "${fixture_zip}" -d "${profile_tree}"
-
-            set +e
-            ./OrcaSlicer_profile_validator -p "${profile_tree}" -l 2 > "${log_path}" 2>&1
-            result=$?
-            set -e
-
-            if [ "${result}" -eq 0 ]; then
-              echo "| ${version} | PASS | ${version}.log |" >> "${summary}"
-            else
-              echo "| ${version} | FAIL | ${version}.log |" >> "${summary}"
-              failed_logs+=("${log_path}")
-              status=1
-            fi
-          done < "${fixtures_dir}/fixtures.tsv"
-
-          {
-            cat "${summary}"
-            if [ "${#failed_logs[@]}" -gt 0 ]; then
-              echo ""
-              echo "## Failed Fixture Logs"
-              for log_path in "${failed_logs[@]}"; do
-                echo ""
-                echo "### $(basename "${log_path}" .log)"
-                echo '```'
-                head -c 12000 "${log_path}" || echo "No output captured"
-                echo '```'
-              done
-            fi
-          } | tee "${combined_log}"
-
-          exit "${status}"
-
-      - name: Prepare PR number for comment workflow
-        if: ${{ always() && github.event_name == 'pull_request' }}
-        run: |
-          mkdir -p ${{ runner.temp }}/profile-check-results
-          echo "${{ github.event.pull_request.number }}" > ${{ runner.temp }}/profile-check-results/pr_number.txt
+          set +e
+          curl -LJO https://github.com/OrcaSlicer/OrcaSlicer/releases/download/nightly-builds/orca_custom_preset_tests.zip
+          unzip -q ./orca_custom_preset_tests.zip -d ${{ github.workspace }}/resources/profiles
+          ./OrcaSlicer_profile_validator -p ${{ github.workspace }}/resources/profiles -l 2 2>&1 | tee ${{ runner.temp }}/validate_custom.log
+          exit ${PIPESTATUS[0]}
 
       - name: Prepare comment artifact
-        if: ${{ always() && github.event_name == 'pull_request' && (steps.extra_json_check.outcome == 'failure' || steps.validate_system.outcome == 'failure' || steps.validate_filament_subtypes.outcome == 'failure' || steps.validate_preset_references.outcome == 'failure' || steps.validate_custom.outcome == 'failure') }}
+        if: ${{ always() && github.event_name == 'pull_request' && (steps.extra_json_check.outcome == 'failure' || steps.validate_system.outcome == 'failure' || steps.validate_custom.outcome == 'failure') }}
         run: |
+          mkdir -p ${{ runner.temp }}/profile-check-results
+
           {
-            # Marker matched by check_profiles_comment.yml to delete prior comments.
-            echo "<!-- profile-validation-comment -->"
             echo "## :x: Profile Validation Errors"
             echo ""
 
@@ -206,24 +88,6 @@ jobs:
               echo ""
             fi
 
-            if [ "${{ steps.validate_filament_subtypes.outcome }}" = "failure" ]; then
-              echo "### BBL Filament Subtype Validation Failed"
-              echo ""
-              echo '```'
-              head -c 30000 ${{ runner.temp }}/validate_filament_subtypes.log || echo "No output captured"
-              echo '```'
-              echo ""
-            fi
-
-            if [ "${{ steps.validate_preset_references.outcome }}" = "failure" ]; then
-              echo "### BBL/Qidi Preset Reference Validation Failed"
-              echo ""
-              echo '```'
-              head -c 30000 ${{ runner.temp }}/validate_preset_references.log || echo "No output captured"
-              echo '```'
-              echo ""
-            fi
-
             if [ "${{ steps.validate_custom.outcome }}" = "failure" ]; then
               echo "### Custom Preset Validation Failed"
               echo ""
@@ -237,16 +101,18 @@ jobs:
             echo "*Please fix the above errors and push a new commit.*"
           } > ${{ runner.temp }}/profile-check-results/pr_comment.md
 
+          echo "${{ github.event.pull_request.number }}" > ${{ runner.temp }}/profile-check-results/pr_number.txt
+
       - name: Upload comment artifact
-        if: ${{ always() && github.event_name == 'pull_request' }}
-        uses: actions/upload-artifact@v7
+        if: ${{ always() && github.event_name == 'pull_request' && (steps.extra_json_check.outcome == 'failure' || steps.validate_system.outcome == 'failure' || steps.validate_custom.outcome == 'failure') }}
+        uses: actions/upload-artifact@v4
         with:
           name: profile-check-results
           path: ${{ runner.temp }}/profile-check-results/
           retention-days: 1
 
       - name: Fail if any check failed
-        if: ${{ always() && (steps.extra_json_check.outcome == 'failure' || steps.validate_system.outcome == 'failure' || steps.validate_filament_subtypes.outcome == 'failure' || steps.validate_preset_references.outcome == 'failure' || steps.validate_custom.outcome == 'failure') }}
+        if: ${{ always() && (steps.extra_json_check.outcome == 'failure' || steps.validate_system.outcome == 'failure' || steps.validate_custom.outcome == 'failure') }}
         run: |
           echo "One or more profile checks failed. See above for details."
           exit 1

.github/workflows/check_profiles_comment.yml

@@ -10,37 +10,30 @@ on:
 
 permissions:
   pull-requests: write
-  # Needed to delete outdated bot comments via the issues/comments endpoint.
-  issues: write
-
-# Serialize handlers per source branch so parallel runs don't race delete-and-post.
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event.workflow_run.head_repository.full_name }}-${{ github.event.workflow_run.head_branch }}
-  cancel-in-progress: false
 
 jobs:
   post_comment:
     name: Post PR comment
     runs-on: ubuntu-24.04
-    if: ${{ github.event.workflow_run.event == 'pull_request' && (github.event.workflow_run.conclusion == 'success' || github.event.workflow_run.conclusion == 'failure') }}
+    if: ${{ github.event.workflow_run.event == 'pull_request' && github.event.workflow_run.conclusion == 'failure' }}
     steps:
       - name: Download artifact
         id: download
-        uses: actions/download-artifact@v8
+        uses: actions/download-artifact@v4
         continue-on-error: true
         with:
           name: profile-check-results
           run-id: ${{ github.event.workflow_run.id }}
           github-token: ${{ github.token }}
 
-      - name: Update PR comment
+      - name: Post comment on PR
         if: ${{ steps.download.outcome == 'success' }}
         env:
           GH_TOKEN: ${{ github.token }}
           GH_REPO: ${{ github.repository }}
         run: |
-          if [ ! -f pr_number.txt ]; then
-            echo "No pr_number.txt in artifact, skipping."
+          if [ ! -f pr_number.txt ] || [ ! -f pr_comment.md ]; then
+            echo "No comment artifact found, skipping."
             exit 0
           fi
 
@@ -50,17 +43,4 @@ jobs:
             exit 1
           fi
 
-          # Delete prior comments matching the marker (from check_profiles.yml) or the legacy heading.
-          OLD_IDS=$(gh api --paginate "repos/${GH_REPO}/issues/${PR_NUMBER}/comments" \
-            --jq '.[] | select(.user.login == "github-actions[bot]") | select((.body | startswith("<!-- profile-validation-comment -->")) or (.body | startswith("## :x: Profile Validation Errors"))) | .id')
-          for comment_id in $OLD_IDS; do
-            echo "Deleting outdated profile-validation comment ${comment_id}"
-            gh api -X DELETE "repos/${GH_REPO}/issues/comments/${comment_id}" || true
-          done
-
-          # Post a new comment only when validation failed (pr_comment.md present).
-          if [ -f pr_comment.md ]; then
-            gh pr comment "$PR_NUMBER" --body-file pr_comment.md
-          else
-            echo "Validation succeeded; cleaned up prior comments without posting."
-          fi
+          gh pr comment "$PR_NUMBER" --body-file pr_comment.md

.github/workflows/dedupe-issues.yml

@@ -20,7 +20,7 @@ jobs:
 
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
 
       - name: Run Claude Code slash command
         uses: anthropics/claude-code-base-action@beta

.github/workflows/doxygen-docs.yml

@@ -26,7 +26,7 @@ jobs:
           remove-existing-swap-files: true
 
       - name: Checkout repository
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
 
       - name: Install Doxygen and Graphviz
         run: |

.github/workflows/pr-label-bot.yml

@@ -1,275 +0,0 @@
-name: PR Label Bot
-
-on:
-  pull_request_target:
-    types:
-      - opened
-      - reopened
-  issue_comment:
-    types:
-      - created
-
-permissions:
-  contents: read
-  pull-requests: write
-  issues: write
-
-jobs:
-  request-label:
-    if: github.event_name == 'pull_request_target' && github.event.pull_request.author_association != 'COLLABORATOR' && github.event.pull_request.author_association != 'OWNER' && github.event.pull_request.author_association != 'MEMBER'
-    permissions:
-      contents: read
-      pull-requests: write
-      issues: write
-    runs-on: ubuntu-latest
-    steps:
-      - name: Ask PR author for label
-        uses: actions/github-script@v9
-        with:
-          script: |
-            function isPermissionDenied(error) {
-              return error && error.status === 403 && /Resource not accessible by integration/i.test(error.message || '');
-            }
-
-            const allowedLabels = [
-              'bug-fix',
-              'enhancement',
-              'Localization',
-              'profile',
-              'QoL',
-              'UI/UX',
-              'dependencies'
-            ];
-            const pr = context.payload.pull_request;
-            const labelsList = `${allowedLabels
-              .slice(0, -1)
-              .map((label) => `\`${label}\``)
-              .join(', ')} and \`${allowedLabels[allowedLabels.length - 1]}\`.`;
-            const examplesText = [
-              '```',
-              '/bot add-label bug-fix',
-              '```',
-              '```',
-              '/bot add-label bug-fix, UI/UX',
-              '```',
-              '```',
-              '/bot remove-label bug-fix, UI/UX',
-              '```'
-            ].join('\n');
-
-            try {
-              await github.rest.issues.createComment({
-                owner: context.repo.owner,
-                repo: context.repo.repo,
-                issue_number: pr.number,
-                body:
-                  `Hi @${pr.user.login}, you can manage the labels for this PR by \`/bot add-label\` and \`/bot remove-label\`\n\n` +
-                  `Allowed labels are:\n${labelsList}\n\n` +
-                  `Examples:\n${examplesText}`
-              });
-            } catch (error) {
-              if (isPermissionDenied(error)) {
-                core.warning(
-                  'Skipping PR comment because token cannot write. Enable Actions write permissions, ' +
-                  'or run with a token that has issues:write and pull_requests:write.'
-                );
-                return;
-              }
-
-              throw error;
-            }
-
-  apply-label:
-    if: github.event_name == 'issue_comment'
-    permissions:
-      contents: read
-      pull-requests: write
-      issues: write
-    runs-on: ubuntu-latest
-    steps:
-      - name: Apply label command from PR author
-        uses: actions/github-script@v9
-        with:
-          script: |
-            function isPermissionDenied(error) {
-              return error && error.status === 403 && /Resource not accessible by integration/i.test(error.message || '');
-            }
-
-            const allowedLabels = [
-              'bug-fix',
-              'enhancement',
-              'Localization',
-              'profile',
-              'QoL',
-              'UI/UX',
-              'dependencies'
-            ];
-
-            const issue = context.payload.issue;
-            if (!issue.pull_request) {
-              core.info('Ignoring comment that is not on a pull request.');
-              return;
-            }
-
-            const body = (context.payload.comment.body || '').trim();
-            const commandLine = body
-              .split('\n')
-              .map((line) => line.trim())
-              .find((line) => /^\/bot\s+(add-label|remove-label)(?:\s*:\s*|\s+)/i.test(line));
-
-            if (!commandLine) {
-              core.info('No /bot add-label or /bot remove-label command found.');
-              return;
-            }
-
-            const commandMatch = commandLine.match(/^\/bot\s+(add-label|remove-label)(?:\s*:\s*|\s+)(.+)\s*$/i);
-            if (!commandMatch) {
-              core.info('Label command format is invalid.');
-              return;
-            }
-
-            const action = commandMatch[1].toLowerCase() === 'add-label' ? 'add' : 'remove';
-            let labelsExpr = (commandMatch[2] || '').trim();
-            if (!labelsExpr) {
-              core.info('Label command is missing label name.');
-              return;
-            }
-
-            if (labelsExpr.startsWith('[') && labelsExpr.endsWith(']')) {
-              labelsExpr = labelsExpr.slice(1, -1).trim();
-            }
-
-            const requestedRawLabels = labelsExpr
-              .split(',')
-              .map((part) => part.trim())
-              .filter(Boolean);
-
-            if (!requestedRawLabels.length) {
-              core.info('No labels were provided in the command.');
-              return;
-            }
-
-            const { data: pr } = await github.rest.pulls.get({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              pull_number: issue.number
-            });
-
-            const commenter = context.payload.comment.user.login;
-            if (commenter !== pr.user.login) {
-              core.info('Ignoring command because commenter is not the PR author.');
-              return;
-            }
-
-            const labelsByLower = new Map(
-              allowedLabels.map((label) => [label.toLowerCase(), label])
-            );
-
-            const resolvedLabels = [];
-            const invalidLabels = [];
-
-            for (const rawLabel of requestedRawLabels) {
-              const resolved = labelsByLower.get(rawLabel.toLowerCase());
-              if (resolved) {
-                resolvedLabels.push(resolved);
-              } else {
-                invalidLabels.push(rawLabel);
-              }
-            }
-            const uniqueRequestedLabels = [...new Set(resolvedLabels)];
-
-            if (action === 'add' && uniqueRequestedLabels.length) {
-              try {
-                await github.rest.issues.addLabels({
-                  owner: context.repo.owner,
-                  repo: context.repo.repo,
-                  issue_number: issue.number,
-                  labels: uniqueRequestedLabels
-                });
-              } catch (error) {
-                if (isPermissionDenied(error)) {
-                  core.warning(
-                    'Cannot add labels because token cannot write. Enable Actions write permissions, ' +
-                    'or run with a token that has issues:write and pull_requests:write.'
-                  );
-                  return;
-                }
-
-                throw error;
-              }
-
-              core.info(`Added labels: ${uniqueRequestedLabels.join(', ')}`);
-            }
-
-            if (action === 'remove' && uniqueRequestedLabels.length) {
-              let removedCount = 0;
-              try {
-                for (const label of uniqueRequestedLabels) {
-                  try {
-                    await github.rest.issues.removeLabel({
-                      owner: context.repo.owner,
-                      repo: context.repo.repo,
-                      issue_number: issue.number,
-                      name: label
-                    });
-                    removedCount += 1;
-                  } catch (error) {
-                    if (isPermissionDenied(error)) {
-                      core.warning(
-                        'Cannot remove labels because token cannot write. Enable Actions write permissions, ' +
-                        'or run with a token that has issues:write and pull_requests:write.'
-                      );
-                      return;
-                    }
-
-                    if (error.status === 404) {
-                      core.info(`Label is not currently applied: ${label}`);
-                      continue;
-                    }
-
-                    throw error;
-                  }
-                }
-
-                core.info(`Removed labels count: ${removedCount}`);
-              } catch (error) {
-                throw error;
-              }
-            }
-
-            if (!uniqueRequestedLabels.length) {
-              core.info('No valid labels were provided in the command.');
-            }
-
-            if (invalidLabels.length) {
-              const allowedText = allowedLabels.map((label) => `\`${label}\``).join(', ');
-              const invalidText = invalidLabels.map((label) => `\`${label}\``).join(', ');
-              const validText = uniqueRequestedLabels.length
-                ? `\n\nProcessed valid label(s): ${uniqueRequestedLabels.map((label) => `\`${label}\``).join(', ')}`
-                : '';
-
-              try {
-                await github.rest.issues.createComment({
-                  owner: context.repo.owner,
-                  repo: context.repo.repo,
-                  issue_number: issue.number,
-                  body:
-                    `@${commenter} invalid label(s): ${invalidText}.${validText}\n\n` +
-                    `Allowed labels: ${allowedText}\n\n` +
-                    `Use:\n` +
-                    `- \`/bot add-label label\`\n` +
-                    `- \`/bot remove-label label\`\n` +
-                    `- \`/bot add-label label1, label2\``
-                });
-              } catch (error) {
-                if (isPermissionDenied(error)) {
-                  core.warning('Cannot post invalid-label feedback because token cannot write comments.');
-                  return;
-                }
-
-                throw error;
-              }
-            }
-
-            const processedLabelsText = uniqueRequestedLabels.length ? uniqueRequestedLabels.join(', ') : '(none)';
-            core.info(`Processed label command: ${action} ${processedLabelsText}`);

.github/workflows/publish_release.yml

@@ -1,131 +0,0 @@
-name: Publish to draft release
-
-# Manually pulls the platform binaries produced by a "Build all" run and uploads
-# them to an existing DRAFT release. Decoupled from the build so you can test a
-# build first, then publish exactly that run's artifacts once you're happy.
-#
-# Trigger: Actions tab -> "Publish to draft release" -> Run workflow.
-# Locked to a single person: the first step aborts unless the actor matches the
-# `RELEASE_PUBLISHER` repo variable (set to "SoftFever"). To allow someone else,
-# change that variable: gh variable set RELEASE_PUBLISHER --body "<login>".
-
-on:
-  workflow_dispatch:
-    inputs:
-      run_id:
-        description: 'Run ID of the "Build all" workflow to pull binaries from (the number in the Actions run URL)'
-        required: true
-        type: string
-      tag:
-        description: 'Tag of the draft release to upload to (e.g. v2.4.0-beta)'
-        required: true
-        type: string
-
-permissions:
-  contents: write   # upload release assets
-  actions: read     # download artifacts from another run
-
-jobs:
-  publish:
-    name: Publish binaries to draft release
-    runs-on: ubuntu-latest
-    env:
-      GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-      RUN_ID: ${{ inputs.run_id }}
-      TAG: ${{ inputs.tag }}
-    steps:
-      - name: Restrict to the release publisher
-        env:
-          PUBLISHER: ${{ vars.RELEASE_PUBLISHER }}
-        run: |
-          if [ -z "$PUBLISHER" ]; then
-            echo "::error::RELEASE_PUBLISHER repo variable is not set."
-            exit 1
-          fi
-          if [ "${{ github.actor }}" != "$PUBLISHER" ]; then
-            echo "::error::Only @$PUBLISHER may run this workflow (you are @${{ github.actor }})."
-            exit 1
-          fi
-          echo "Authorized: @${{ github.actor }}"
-
-      - name: Verify target is a draft release
-        run: |
-          if ! gh release view "$TAG" --repo "$GITHUB_REPOSITORY" --json isDraft >/dev/null 2>&1; then
-            echo "::error::Release '$TAG' not found. Create the draft (with this tag) first."
-            exit 1
-          fi
-          is_draft=$(gh release view "$TAG" --repo "$GITHUB_REPOSITORY" --json isDraft --jq '.isDraft')
-          if [ "$is_draft" != "true" ]; then
-            echo "::error::Release '$TAG' is published, not a draft. Aborting to avoid touching a live release."
-            exit 1
-          fi
-
-      - name: Verify source build run
-        run: |
-          info=$(gh run view "$RUN_ID" --repo "$GITHUB_REPOSITORY" --json workflowName,conclusion,headBranch)
-          name=$(echo "$info" | jq -r '.workflowName')
-          conclusion=$(echo "$info" | jq -r '.conclusion')
-          branch=$(echo "$info" | jq -r '.headBranch')
-          echo "Source run #$RUN_ID: '$name' on '$branch' (conclusion: $conclusion)"
-          if [ "$conclusion" != "success" ]; then
-            echo "::warning::Source run did not conclude 'success' ($conclusion). Some assets may be missing."
-          fi
-
-      - name: Download release artifacts from build run
-        run: |
-          # Windows_V* (not Windows_*) keeps the MSIX Store artifact out: it goes to Partner Center, not GitHub releases.
-          gh run download "$RUN_ID" --repo "$GITHUB_REPOSITORY" --dir artifacts \
-            -p 'OrcaSlicer_Windows_V*' \
-            -p 'OrcaSlicer_Mac_universal_*' \
-            -p 'OrcaSlicer_Linux_ubuntu_*' \
-            -p 'OrcaSlicer-Linux-flatpak_*' \
-            -p 'PDB'
-          echo "Downloaded artifact folders:"
-          ls -1 artifacts
-
-      - name: Assemble release assets
-        run: |
-          set -euo pipefail
-          mkdir -p upload
-
-          # gh run download auto-extracts each artifact into a folder, so the inner
-          # binaries are already unzipped. Copy the inner binary for each platform.
-          # -type f is required (some artifact *folders* are named "*.flatpak").
-
-          # Windows installers (x64 + arm64): the .exe inside each installer
-          # artifact, NOT the orca-slicer.exe in the portable app folder. CPack
-          # now bakes the arch into the filename (…_x64.exe / …_arm64.exe), so
-          # copy them straight through.
-          find artifacts -type f -name '*.exe' -path '*OrcaSlicer_Windows_V*' ! -path '*_portable*' -exec cp -v {} upload/ \;
-          # macOS universal DMG (profile-validator DMG isn't downloaded).
-          find artifacts -type f -name '*.dmg' -path '*OrcaSlicer_Mac_universal_*' -exec cp -v {} upload/ \;
-          # Linux AppImage.
-          find artifacts -type f -name '*.AppImage' -exec cp -v {} upload/ \;
-          # Flatpak bundles (x86_64 + aarch64).
-          find artifacts -type f -name '*.flatpak' -exec cp -v {} upload/ \;
-          # Windows debug symbols (PDB archive, for developers).
-          find artifacts -type f -name 'Debug_PDB_*.7z' -exec cp -v {} upload/ \;
-
-          # Portable Windows builds (x64 + arm64) are unzipped folder artifacts;
-          # re-zip each to its released filename (these stay .zip on the release).
-          mapfile -t portable_dirs < <(find artifacts -maxdepth 1 -type d -name 'OrcaSlicer_Windows_*_portable')
-          if [ ${#portable_dirs[@]} -eq 0 ]; then
-            echo "::warning::Windows portable artifact not found."
-          fi
-          for portable_dir in "${portable_dirs[@]}"; do
-            ( cd "$portable_dir" && zip -qr "$GITHUB_WORKSPACE/upload/$(basename "$portable_dir").zip" . )
-            echo "Zipped portable -> $(basename "$portable_dir").zip"
-          done
-
-          echo "Assets to upload:"
-          ls -lh upload
-          if [ -z "$(ls -A upload)" ]; then
-            echo "::error::No assets assembled. Check the run_id and that its artifacts haven't expired."
-            exit 1
-          fi
-
-      - name: Upload assets to draft release
-        run: |
-          gh release upload "$TAG" upload/* --repo "$GITHUB_REPOSITORY" --clobber
-          echo "Uploaded to draft release: $TAG"
-          gh release view "$TAG" --repo "$GITHUB_REPOSITORY" --json assets --jq '.assets[].name'

.github/workflows/shellcheck.yml

@@ -21,7 +21,7 @@ jobs:
     steps:
       - name: Cache shellcheck download
         id: cache-shellcheck-v0_11
-        uses: actions/cache@v6
+        uses: actions/cache@v5
         with:
           path: ~/shellcheck
           key: ${{ runner.os }}-shellcheck-v0_11
@@ -36,7 +36,7 @@ jobs:
           tar -xvf ~/sc.tar.xz -C ~
           mv ~/shellcheck-"${INPUT_VERSION}"/shellcheck ~/shellcheck
 
-      - uses: actions/checkout@v7
+      - uses: actions/checkout@v6
         with:
           fetch-depth: 1
 

.github/workflows/update-translation.yml

@@ -10,7 +10,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:  
       - name: Checkout repository
-        uses: actions/checkout@v7
+        uses: actions/checkout@v6
 
       - name: Setup Python
         uses: actions/setup-python@v6

.gitignore

@@ -45,7 +45,4 @@ test.js
 .clangd
 internal_docs/
 *.flatpak
-/flatpak-repo/
-# Python bytecode
-__pycache__/
-*.pyc
+/flatpak-repo/

.idea/.gitignore

@@ -0,0 +1,8 @@
+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

.idea/OrcaSlicer.iml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module classpath="CMake" type="CPP_MODULE" version="4" />

.idea/codeStyles/Project.xml

@@ -0,0 +1,7 @@
+<component name="ProjectCodeStyleConfiguration">
+  <code_scheme name="Project" version="173">
+    <clangFormatSettings>
+      <option name="ENABLED" value="true" />
+    </clangFormatSettings>
+  </code_scheme>
+</component>

.idea/codeStyles/codeStyleConfig.xml

@@ -0,0 +1,5 @@
+<component name="ProjectCodeStyleConfiguration">
+  <state>
+    <option name="USE_PER_PROJECT_SETTINGS" value="true" />
+  </state>
+</component>

.idea/misc.xml

@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="CMakeWorkspace" PROJECT_DIR="$PROJECT_DIR$" />
+</project>

.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/OrcaSlicer.iml" filepath="$PROJECT_DIR$/.idea/OrcaSlicer.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

AGENTS.md

@@ -1,57 +1,23 @@
-# CLAUDE.md
+# Repository Guidelines
 
-OrcaSlicer — open-source C++17 3D slicer. wxWidgets GUI, CMake build system.
+## Project Structure & Module Organization
+OrcaSlicer’s C++17 sources live in `src/`, split by feature modules and platform adapters. User assets, icons, and printer presets are in `resources/`; translations stay in `localization/`. Tests sit in `tests/`, grouped by domain (`libslic3r/`, `sla_print/`, etc.) with fixtures under `tests/data/`. CMake helpers reside in `cmake/`, and longer references in `doc/` and `SoftFever_doc/`. Automation scripts belong in `scripts/` and `tools/`. Treat everything in `deps/` and `deps_src/` as vendored snapshots—do not modify without mirroring upstream tags.
 
-## Build Commands
+## Build, Test, and Development Commands
+Use out-of-source builds:
+- `cmake -S . -B build -DCMAKE_BUILD_TYPE=Release` configures dependencies and generates build files.
+- `cmake --build build --target OrcaSlicer --config Release` compiles the app; add `--parallel` to speed up.
+- `cmake --build build --target tests` then `ctest --test-dir build --output-on-failure` runs automated suites.
+Platform helpers such as `build_linux.sh`, `build_release_macos.sh`, and `build_release_vs2022.bat` wrap the same flow with toolchain flags. Use `build_release_macos.sh -sx` when reproducing macOS build issues, and `scripts/DockerBuild.sh` for reproducible container builds.
 
-```bash
-# macOS
-cmake --build build/arm64 --config RelWithDebInfo --target all --
+## Coding Style & Naming Conventions
+`.clang-format` enforces 4-space indents, a 140-column limit, aligned initializers, and brace wrapping for classes and functions. Run `clang-format -i <file>` before committing; the CMake `clang-format` target is available when LLVM tools are on your PATH. Prefer `CamelCase` for classes, `snake_case` for functions and locals, and `SCREAMING_CASE` for constants, matching conventions in `src/`. Keep headers self-contained and align include order with the IWYU pragmas.
 
-# Linux
-cmake --build build --config RelWithDebInfo --target all --
+## Testing Guidelines
+Unit tests rely on Catch2 (`tests/catch2/`). Name specs after the component under test—for example `tests/libslic3r/TestPlanarHole.cpp`—and tag long-running cases so `ctest -L fast` remains useful. Cover new algorithms with deterministic fixtures or sample G-code stored in `tests/data/`. Document manual printer validation or regression slicer checks in your PR when automated coverage is insufficient.
 
-# Windows (replace %build_type% with Debug/Release/RelWithDebInfo)
-cmake --build . --config %build_type% --target ALL_BUILD -- -m
-```
+## Commit & Pull Request Guidelines
+The history favors concise, sentence-style subject lines with optional issue references, e.g., `Fix grid lines origin for multiple plates (#10724)`. Squash fixups locally before opening a PR. Complete `.github/pull_request_template.md`, include reproduction steps or screenshots for UI changes, and mention impacted presets or translations. Link issues via `Closes #NNNN` when applicable, and call out dependency bumps or profile migrations for maintainer review.
 
-## Testing
-
-Catch2 framework. Tests in `tests/` directory.
-
-```bash
-cd build && ctest --output-on-failure           # all tests
-ctest --test-dir ./tests/libslic3r              # individual suite
-ctest --test-dir ./tests/fff_print
-```
-
-## Code Style
-
-- C++17, selective C++20. PascalCase classes, snake_case functions/variables
-- `#pragma once` for headers. Smart pointers and RAII preferred
-- Parallelization via TBB — be mindful of shared state
-
-## Key Entry Points
-
-- App startup: `src/OrcaSlicer.cpp`
-- Slicing pipeline: `src/libslic3r/Print.cpp`
-- All print/printer/material settings: `src/libslic3r/PrintConfig.cpp`
-- GUI: `src/slic3r/GUI/`
-- Core algorithms: `src/libslic3r/` (GCode/, Fill/, Support/, Geometry/, Format/, Arachne/)
-- Printer profiles: `resources/profiles/[manufacturer].json`
-
-## Critical Constraints
-
-- **Backward compatibility required** for .3mf project files and printer profiles
-- **Cross-platform** — all changes must work on Windows, macOS, and Linux
-- Profile/format changes need version migration handling
-- Dependencies built separately in `deps/build/`, then linked to main app
-
-## Code review focus areas
-
-- Changes must not cause regressions in existing functionality, defaults, profiles, or project compatibility.
-- Features gated by options must not affect existing behavior when those options are disabled.
-- Changes should follow the existing code style and architecture. Architectural changes should be justified in code comments and the PR description.
-- Add helper functions or utilities only when existing code cannot reasonably be reused. Avoid duplication.
-- Keep code concise and clear. Manually simplify AI generated bloated codes before review.
-- Include targeted tests or documented verification for behavior changes, especially in slicing logic, profiles, formats, and GUI defaults.
+## Security & Configuration Tips
+Follow `SECURITY.md` for vulnerability reporting. Keep API tokens and printer credentials out of tracked configs; use `sandboxes/` for experimental settings. When touching third-party code in `deps_src/`, record the upstream commit or release in your PR description and run the relevant platform build script to confirm integration.

CLAUDE.md

@@ -1 +1,234 @@
-@AGENTS.md
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Overview
+
+OrcaSlicer is an open-source 3D slicer application forked from Bambu Studio, built using C++ with wxWidgets for the GUI and CMake as the build system. The project uses a modular architecture with separate libraries for core slicing functionality, GUI components, and platform-specific code.
+
+## Build Commands
+
+### Building on Windows
+**Always use this command to build the project when testing build issues on Windows.**
+```bash
+cmake --build . --config %build_type% --target ALL_BUILD -- -m
+```
+
+### Building on macOS
+**Always use this command to build the project when testing build issues on macOS.**
+```bash
+cmake --build build/arm64 --config RelWithDebInfo --target all --
+```
+
+### Building on Linux
+ **Always use this command to build the project when testing build issues on Linux.**
+```bash
+cmake --build build/arm64 --config RelWithDebInfo --target all --
+
+```
+### Build test:
+
+**Always use this command to build the project when testing build issues on Windows.**
+```bash
+cmake --build . --config %build_type% --target ALL_BUILD -- -m
+```
+
+### Building on macOS
+**Always use this command to build the project when testing build issues on macOS.**
+```bash
+cmake --build build/arm64 --config RelWithDebInfo --target all --
+```
+
+### Building on Linux
+ **Always use this command to build the project when testing build issues on Linux.**
+```bash
+cmake --build build --config RelWithDebInfo --target all --
+
+```
+
+
+### Build System
+- Uses CMake with minimum version 3.13 (maximum 3.31.x on Windows)
+- Primary build directory: `build/`
+- Dependencies are built in `deps/build/`
+- The build process is split into dependency building and main application building
+- Windows builds use Visual Studio generators
+- macOS builds use Xcode by default, Ninja with -x flag
+- Linux builds use Ninja generator
+
+### Testing
+Tests are located in the `tests/` directory and use the Catch2 testing framework. Test structure:
+- `tests/libslic3r/` - Core library tests (21 test files)
+  - Geometry processing, algorithms, file formats (STL, 3MF, AMF)
+  - Polygon operations, clipper utilities, Voronoi diagrams
+- `tests/fff_print/` - Fused Filament Fabrication tests (12 test files)
+  - Slicing algorithms, G-code generation, print mechanics
+  - Fill patterns, extrusion, support material
+- `tests/sla_print/` - Stereolithography tests (4 test files)
+  - SLA-specific printing algorithms, support generation
+- `tests/libnest2d/` - 2D nesting algorithm tests
+- `tests/slic3rutils/` - Utility function tests
+- `tests/sandboxes/` - Experimental/sandbox test code
+
+Run all tests after building:
+```bash
+cd build && ctest
+```
+
+Run tests with verbose output:
+```bash
+cd build && ctest --output-on-failure
+```
+
+Run individual test suites:
+```bash
+# From build directory
+ctest --test-dir ./tests/libslic3r/libslic3r_tests
+ctest --test-dir ./tests/fff_print/fff_print_tests
+ctest --test-dir ./tests/sla_print/sla_print_tests
+# and so on
+```
+
+## Architecture
+
+### Core Libraries
+- **libslic3r/**: Core slicing engine and algorithms (platform-independent)
+  - Main slicing logic, geometry processing, G-code generation
+  - Key classes: Print, PrintObject, Layer, GCode, Config
+  - Modular design with specialized subdirectories:
+    - `GCode/` - G-code generation, cooling, pressure equalization, thumbnails
+    - `Fill/` - Infill pattern implementations (gyroid, honeycomb, lightning, etc.)
+    - `Support/` - Tree supports and traditional support generation
+    - `Geometry/` - Advanced geometry operations, Voronoi diagrams, medial axis
+    - `Format/` - File I/O for 3MF, AMF, STL, OBJ, STEP formats
+    - `SLA/` - SLA-specific print processing and support generation
+    - `Arachne/` - Advanced wall generation using skeletal trapezoidation
+
+- **src/slic3r/**: Main application framework and GUI
+  - GUI application built with wxWidgets
+  - Integration between libslic3r core and user interface
+  - Located in `src/slic3r/GUI/` (not shown in this directory but exists)
+
+### Key Algorithmic Components
+- **Arachne Wall Generation**: Variable-width perimeter generation using skeletal trapezoidation
+- **Tree Supports**: Organic support generation algorithm  
+- **Lightning Infill**: Sparse infill optimization for internal structures
+- **Adaptive Slicing**: Variable layer height based on geometry
+- **Multi-material**: Multi-extruder and soluble support processing
+- **G-code Post-processing**: Cooling, fan control, pressure advance, conflict checking
+
+### File Format Support
+- **3MF/BBS_3MF**: Native format with extensions for multi-material and metadata
+- **STL**: Standard tessellation language for 3D models
+- **AMF**: Additive Manufacturing Format with color/material support  
+- **OBJ**: Wavefront OBJ with material definitions
+- **STEP**: CAD format support for precise geometry
+- **G-code**: Output format with extensive post-processing capabilities
+
+### External Dependencies
+- **Clipper2**: Advanced 2D polygon clipping and offsetting
+- **libigl**: Computational geometry library for mesh operations
+- **TBB**: Intel Threading Building Blocks for parallelization
+- **wxWidgets**: Cross-platform GUI framework
+- **OpenGL**: 3D graphics rendering and visualization
+- **CGAL**: Computational Geometry Algorithms Library (selective use)
+- **OpenVDB**: Volumetric data structures for advanced operations
+- **Eigen**: Linear algebra library for mathematical operations
+
+## File Organization
+
+### Resources and Configuration
+- `resources/profiles/` - Printer and material profiles organized by manufacturer
+- `resources/printers/` - Printer-specific configurations and G-code templates  
+- `resources/images/` - UI icons, logos, calibration images
+- `resources/calib/` - Calibration test patterns and data
+- `resources/handy_models/` - Built-in test models (benchy, calibration cubes)
+
+### Internationalization and Localization  
+- `localization/i18n/` - Source translation files (.pot, .po)
+- `resources/i18n/` - Runtime language resources
+- Translation managed via `scripts/run_gettext.sh` / `scripts/run_gettext.bat`
+
+### Platform-Specific Code
+- `src/libslic3r/Platform.cpp` - Platform abstractions and utilities
+- `src/libslic3r/MacUtils.mm` - macOS-specific utilities (Objective-C++)
+- Windows-specific build scripts and configurations
+- Linux distribution support scripts in `scripts/linux.d/`
+
+### Build and Development Tools
+- `cmake/modules/` - Custom CMake find modules and utilities
+- `scripts/` - Python utilities for profile generation and validation  
+- `tools/` - Windows build tools (gettext utilities)
+- `deps/` - External dependency build configurations
+
+## Development Workflow
+
+### Code Style and Standards
+- **C++17 standard** with selective C++20 features
+- **Naming conventions**: PascalCase for classes, snake_case for functions/variables
+- **Header guards**: Use `#pragma once` 
+- **Memory management**: Prefer smart pointers, RAII patterns
+- **Thread safety**: Use TBB for parallelization, be mindful of shared state
+
+### Common Development Tasks
+
+#### Adding New Print Settings
+1. Define setting in `PrintConfig.cpp` with proper bounds and defaults
+2. Add UI controls in appropriate GUI components  
+3. Update serialization in config save/load
+4. Add tooltips and help text for user guidance
+5. Test with different printer profiles
+
+#### Modifying Slicing Algorithms  
+1. Core algorithms live in `libslic3r/` subdirectories
+2. Performance-critical code should be profiled and optimized
+3. Consider multi-threading implications (TBB integration)
+4. Validate changes don't break existing profiles
+5. Add regression tests where appropriate
+
+#### GUI Development
+1. GUI code resides in `src/slic3r/GUI/` (not visible in current tree)
+2. Use existing wxWidgets patterns and custom controls
+3. Support both light and dark themes
+4. Consider DPI scaling on high-resolution displays
+5. Maintain cross-platform compatibility
+
+#### Adding Printer Support
+1. Create JSON profile in `resources/profiles/[manufacturer].json`
+2. Add printer-specific start/end G-code templates
+3. Configure build volume, capabilities, and material compatibility
+4. Test thoroughly with actual hardware when possible
+5. Follow existing profile structure and naming conventions
+
+### Dependencies and Build System
+- **CMake-based** with separate dependency building phase
+- **Dependencies** built once in `deps/build/`, then linked to main application  
+- **Cross-platform** considerations important for all changes
+- **Resource files** embedded at build time, platform-specific handling
+
+### Performance Considerations
+- **Slicing algorithms** are CPU-intensive, profile before optimizing
+- **Memory usage** can be substantial with complex models
+- **Multi-threading** extensively used via TBB
+- **File I/O** optimized for large 3MF files with embedded textures
+- **Real-time preview** requires efficient mesh processing
+
+## Important Development Notes
+
+### Codebase Navigation
+- Use search tools extensively - codebase has 500k+ lines
+- Key entry points: `src/OrcaSlicer.cpp` for application startup
+- Core slicing: `libslic3r/Print.cpp` orchestrates the slicing pipeline
+- Configuration: `PrintConfig.cpp` defines all print/printer/material settings
+
+### Compatibility and Stability
+- **Backward compatibility** maintained for project files and profiles
+- **Cross-platform** support essential (Windows/macOS/Linux)  
+- **File format** changes require careful version handling
+- **Profile migrations** needed when settings change significantly
+
+### Quality and Testing
+- **Regression testing** important due to algorithm complexity
+- **Performance benchmarks** help catch performance regressions
+- **Memory leak** detection important for long-running GUI application
+- **Cross-platform** testing required before releases

CMakeLists.txt

@@ -1,9 +1,13 @@
 if(${CMAKE_VERSION} VERSION_GREATER_EQUAL "4.0")
-    set(CMAKE_POLICY_VERSION_MINIMUM 3.13 CACHE STRING "" FORCE)
+    set(CMAKE_POLICY_VERSION_MINIMUM 3.5 CACHE STRING "" FORCE)
 endif()
 
 cmake_minimum_required(VERSION 3.13)
 
+# Verify that your CMake version is exactly 3.5 series or higher on windows
+if ( (MSVC OR WIN32) AND (${CMAKE_VERSION} VERSION_LESS "3.5") )
+    message(FATAL_ERROR "CMake current version ${CMAKE_VERSION} is too old. Minimum required is 3.5.")
+endif()
 
 # The following line used to be in tests/CMakeLists.txt
 # Having it there causes rebuilds of all targets on any CMakeLists.txt change under tests/
@@ -117,139 +121,15 @@ else()
     set(SLIC3R_STATIC_INITIAL 1)
 endif()
 
-option(SLIC3R_STATIC            "Compile OrcaSlicer with static libraries (Boost, TBB)" ${SLIC3R_STATIC_INITIAL})
-option(SLIC3R_GUI               "Compile OrcaSlicer with GUI components (OpenGL, wxWidgets)" 1)
+option(SLIC3R_STATIC 			"Compile OrcaSlicer with static libraries (Boost, TBB, glew)" ${SLIC3R_STATIC_INITIAL})
+option(SLIC3R_GUI    			"Compile OrcaSlicer with GUI components (OpenGL, wxWidgets)" 1)
 option(SLIC3R_FHS               "Assume OrcaSlicer is to be installed in a FHS directory structure" 0)
-option(SLIC3R_PROFILE           "Compile OrcaSlicer with an invasive Shiny profiler" 0)
+option(SLIC3R_WX_STABLE         "Build against wxWidgets stable (3.0) as oppsed to dev (3.1) on Linux" 0)
+option(SLIC3R_PROFILE 			"Compile OrcaSlicer with an invasive Shiny profiler" 0)
 option(SLIC3R_PCH               "Use precompiled headers" 1)
 option(SLIC3R_MSVC_COMPILE_PARALLEL "Compile on Visual Studio in parallel" 1)
 option(SLIC3R_MSVC_PDB          "Generate PDB files on MSVC in Release mode" 1)
 option(SLIC3R_ASAN              "Enable ASan on Clang and GCC" 0)
-
-# Python stubgen module
-option(ORCA_BUILD_PYTHON_STUBGEN_MODULE "Build importable Python module for pybind11-stubgen" ON)
-set(ORCA_BUNDLED_UV_EXECUTABLE "" CACHE FILEPATH "Path to a uv executable to bundle for Python package installation. Leave empty to auto-download.")
-
-# Auto-download uv if not provided by the user.
-# uv is pinned: the executable ships inside the signed app, so the build must
-# be reproducible and the download verified. To upgrade, bump ORCA_UV_VERSION
-# and refresh every hash below from the release's .sha256 assets, e.g.:
-#   curl -sL https://github.com/astral-sh/uv/releases/download/<ver>/uv-<triple>.tar.gz.sha256
-set(ORCA_UV_VERSION "0.11.21")
-set(ORCA_UV_SHA256_aarch64-apple-darwin      "1f921d491ba5ffeea774eb04d6681ecee379101341cbb1500394993b541bf3f4")
-set(ORCA_UV_SHA256_x86_64-apple-darwin       "f3c8e5708a84b920c18b691214d54d2b0da6b984789caae95d47c95120cb7765")
-set(ORCA_UV_SHA256_aarch64-unknown-linux-gnu "88e800834007cc5efd4675f166eb2a51e7e3ad19876d85fa8805a6fb5c922397")
-set(ORCA_UV_SHA256_x86_64-unknown-linux-gnu  "8c88519b0ef0af9801fcdee419bbb12116bd9e6b18e162ae093c932d8b264050")
-set(ORCA_UV_SHA256_x86_64-pc-windows-msvc    "ace861f360c6de2babedc1607d0f454b6b09a820dbc8182dc15af927e4df9589")
-
-# Version-scoped cache dir so a version bump invalidates the cached binary.
-set(ORCA_UV_DOWNLOAD_DIR "${CMAKE_BINARY_DIR}/.uv/${ORCA_UV_VERSION}")
-set(ORCA_UV_BINARY "${ORCA_UV_DOWNLOAD_DIR}/uv")
-if(WIN32)
-    set(ORCA_UV_BINARY "${ORCA_UV_DOWNLOAD_DIR}/uv.exe")
-endif()
-
-# Older configures FORCE-cached the auto-downloaded path; any cache entry
-# under .uv/ is that legacy value -- clear it so auto-download re-resolves
-# (user-provided paths never live under .uv/).
-if(ORCA_BUNDLED_UV_EXECUTABLE MATCHES "/\\.uv/")
-    set(ORCA_BUNDLED_UV_EXECUTABLE "" CACHE FILEPATH "Path to the auto-downloaded uv executable" FORCE)
-endif()
-
-if(NOT ORCA_BUNDLED_UV_EXECUTABLE)
-    if(NOT EXISTS "${ORCA_UV_BINARY}")
-        # Select uv by TARGET arch. On macOS universal builds each leg sets a single
-        # CMAKE_OSX_ARCHITECTURES (and the x86_64 leg cross-builds on an arm64 runner),
-        # so prefer it over the host CMAKE_SYSTEM_PROCESSOR -- otherwise both legs fetch
-        # the same arch and the later universal lipo merge of tools/uv/uv fails.
-        set(_orca_uv_proc "${CMAKE_SYSTEM_PROCESSOR}")
-        if(APPLE AND CMAKE_OSX_ARCHITECTURES)
-            set(_orca_uv_proc "${CMAKE_OSX_ARCHITECTURES}")
-        endif()
-        # All release archives are tar.gz except the Windows zip.
-        set(ORCA_UV_EXT "tar.gz")
-        if(_orca_uv_proc MATCHES "x86_64|AMD64|amd64")
-            if(WIN32)
-                set(ORCA_UV_ARCH "x86_64-pc-windows-msvc")
-                set(ORCA_UV_EXT "zip")
-            elseif(APPLE)
-                set(ORCA_UV_ARCH "x86_64-apple-darwin")
-            else()
-                set(ORCA_UV_ARCH "x86_64-unknown-linux-gnu")
-            endif()
-        elseif(_orca_uv_proc MATCHES "aarch64|arm64|ARM64")
-            if(APPLE)
-                set(ORCA_UV_ARCH "aarch64-apple-darwin")
-            else()
-                set(ORCA_UV_ARCH "aarch64-unknown-linux-gnu")
-            endif()
-        else()
-            message(WARNING "Unsupported architecture for auto-downloading uv: ${_orca_uv_proc}")
-        endif()
-
-        if(ORCA_UV_ARCH)
-            set(ORCA_UV_URL "https://github.com/astral-sh/uv/releases/download/${ORCA_UV_VERSION}/uv-${ORCA_UV_ARCH}.${ORCA_UV_EXT}")
-            set(ORCA_UV_ARCHIVE "${ORCA_UV_DOWNLOAD_DIR}/uv-archive.${ORCA_UV_EXT}")
-            file(MAKE_DIRECTORY "${ORCA_UV_DOWNLOAD_DIR}")
-            message(STATUS "Downloading uv ${ORCA_UV_VERSION} from ${ORCA_UV_URL} ...")
-            file(DOWNLOAD "${ORCA_UV_URL}" "${ORCA_UV_ARCHIVE}" STATUS ORCA_UV_DL_STATUS TLS_VERIFY ON)
-            list(GET ORCA_UV_DL_STATUS 0 ORCA_UV_DL_CODE)
-            list(GET ORCA_UV_DL_STATUS 1 ORCA_UV_DL_MSG)
-            if(NOT ORCA_UV_DL_CODE EQUAL 0)
-                # Network failure keeps the historical graceful degradation (uv is
-                # optional at build time) -- but a hash mismatch below is fatal.
-                message(WARNING "Failed to download uv: ${ORCA_UV_DL_MSG}")
-                file(REMOVE "${ORCA_UV_ARCHIVE}")
-            else()
-                file(SHA256 "${ORCA_UV_ARCHIVE}" _orca_uv_actual_sha256)
-                if(NOT _orca_uv_actual_sha256 STREQUAL "${ORCA_UV_SHA256_${ORCA_UV_ARCH}}")
-                    file(REMOVE "${ORCA_UV_ARCHIVE}")
-                    message(FATAL_ERROR
-                        "uv archive checksum mismatch for ${ORCA_UV_ARCH} ${ORCA_UV_VERSION}:\n"
-                        "  expected ${ORCA_UV_SHA256_${ORCA_UV_ARCH}}\n"
-                        "  actual   ${_orca_uv_actual_sha256}\n"
-                        "Possible tampering or a stale pin; refusing to bundle.")
-                endif()
-                message(STATUS "Extracting uv ...")
-                file(ARCHIVE_EXTRACT INPUT "${ORCA_UV_ARCHIVE}" DESTINATION "${ORCA_UV_DOWNLOAD_DIR}")
-                file(REMOVE "${ORCA_UV_ARCHIVE}")
-                # Pinned archives have a fixed layout: the tarballs hold
-                # uv-<triple>/uv, the Windows zip holds uv.exe at the root
-                # (already at ORCA_UV_BINARY). A layout change implies a new
-                # archive, hence a hash bump -- and RENAME fails loudly.
-                if(NOT WIN32)
-                    file(RENAME "${ORCA_UV_DOWNLOAD_DIR}/uv-${ORCA_UV_ARCH}/uv" "${ORCA_UV_BINARY}")
-                    file(REMOVE_RECURSE "${ORCA_UV_DOWNLOAD_DIR}/uv-${ORCA_UV_ARCH}")
-                endif()
-            endif()
-        endif()
-    endif()
-
-    if(EXISTS "${ORCA_UV_BINARY}")
-        # Plain set (shadows the empty cache entry for this configure run):
-        # the version-scoped path re-derives every configure, so a version
-        # bump takes effect in warm build dirs without cache surgery.
-        set(ORCA_BUNDLED_UV_EXECUTABLE "${ORCA_UV_BINARY}")
-    endif()
-endif()
-
-# Resolve ORCA_BUNDLED_UV_EXECUTABLE -> ORCA_BUNDLED_UV_EXECUTABLE_CONFIG / ORCA_BUNDLED_UV_FILENAME
-# Must run before add_subdirectory(src) so target_compile_definitions sees it.
-if(ORCA_BUNDLED_UV_EXECUTABLE)
-    if(EXISTS "${ORCA_BUNDLED_UV_EXECUTABLE}")
-        file(TO_CMAKE_PATH "${ORCA_BUNDLED_UV_EXECUTABLE}" ORCA_BUNDLED_UV_EXECUTABLE_CONFIG)
-        get_filename_component(ORCA_BUNDLED_UV_FILENAME "${ORCA_BUNDLED_UV_EXECUTABLE}" NAME)
-    else()
-        message(WARNING "ORCA_BUNDLED_UV_EXECUTABLE does not exist: ${ORCA_BUNDLED_UV_EXECUTABLE}")
-        set(ORCA_BUNDLED_UV_EXECUTABLE "")
-        set(ORCA_BUNDLED_UV_EXECUTABLE_CONFIG "")
-        set(ORCA_BUNDLED_UV_FILENAME "")
-    endif()
-else()
-    set(ORCA_BUNDLED_UV_EXECUTABLE_CONFIG "")
-    set(ORCA_BUNDLED_UV_FILENAME "")
-endif()
-
 # If SLIC3R_FHS is 1 -> SLIC3R_DESKTOP_INTEGRATION is always 0, othrewise variable.
 CMAKE_DEPENDENT_OPTION(SLIC3R_DESKTOP_INTEGRATION "Allow performing desktop integration during runtime" 1 "NOT SLIC3R_FHS" 0)
 
@@ -345,9 +225,7 @@ if (MSVC)
     # /bigobj (Increase Number of Sections in .Obj file)
     # error C3859: virtual memory range for PCH exceeded; please recompile with a command line option of '-Zm90' or greater
     # Generate symbols at every build target, even for the release.
-	# -Zm520 fixes error C3859 but forces the compiler to pre-allocate that memory for every translation unit regardless
-	# combining /Zi with /FS frees up a significant amount of memory pressure across all parallel compile jobs and makes /MP faster overall.
-    add_compile_options(-bigobj /Zi /FS)
+    add_compile_options(-bigobj -Zm520 /Zi)
     # Disable STL4007: Many result_type typedefs and all argument_type, first_argument_type, and second_argument_type typedefs are deprecated in C++17.
     #FIXME Remove this line after eigen library adapts to the new C++17 adaptor rules.
     add_compile_options(-D_SILENCE_CXX17_ADAPTOR_TYPEDEFS_DEPRECATION_WARNING)
@@ -358,11 +236,6 @@ if (MSVC)
     # Disable warnings on comparison of unsigned and signed
     # C4018: signed/unsigned mismatch
     add_compile_options(/wd4018)
-    # Prevent linker restart when TBB (or other deps) built with /GL are linked
-	# Make your full (clean) build slower because it enables link-time code generation across all translation units.
-	# helps incremental builds by preventing the double-link restart from TBB
-    set(CMAKE_EXE_LINKER_FLAGS    "${CMAKE_EXE_LINKER_FLAGS} /LTCG")
-    set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} /LTCG")
 endif ()
 
 if (${CMAKE_CXX_COMPILER_ID} STREQUAL "AppleClang" AND ${CMAKE_CXX_COMPILER_VERSION} VERSION_GREATER 15)
@@ -455,44 +328,43 @@ set(CMAKE_POSITION_INDEPENDENT_CODE ON)
 
 # WIN10SDK_PATH is used to point CMake to the WIN10 SDK installation directory.
 # We pick it from environment if it is not defined in another way
-# ORCA: Removed Netfabb STL fixing service support in favor of CGAL.
-# if(WIN32)
-#     if(NOT DEFINED WIN10SDK_PATH)
-#         if(DEFINED ENV{WIN10SDK_PATH})
-#                 set(WIN10SDK_PATH "$ENV{WIN10SDK_PATH}")
-#         endif()
-#     endif()
-#     if(DEFINED WIN10SDK_PATH)
-#         #BBS: modify win10sdk_path
-#         if (EXISTS "${WIN10SDK_PATH}/winrt/windows.graphics.printing3d.h")
-#             set(WIN10SDK_INCLUDE_PATH "${WIN10SDK_PATH}")
-#         else()
-#             message("WIN10SDK_PATH is invalid: ${WIN10SDK_PATH}")
-#             message("${WIN10SDK_PATH}/winrt/windows.graphics.printing3d.h was not found")
-#             message("STL fixing by the Netfabb service will not be compiled")
-#             unset(WIN10SDK_PATH)
-#         endif()
-#     else()
-#         # Try to use the default Windows 10 SDK path.
-#         if (DEFINED ENV{WindowsSdkDir} AND DEFINED ENV{WindowsSDKVersion})
-#             set(WIN10SDK_INCLUDE_PATH "$ENV{WindowsSdkDir}/Include/$ENV{WindowsSDKVersion}")
-#         else ()
-#             set(WIN10SDK_INCLUDE_PATH "C:/Program Files (x86)/Windows Kits/10/Include/10.0.26100.0")
-#         endif ()
-#         if (NOT EXISTS "${WIN10SDK_INCLUDE_PATH}/winrt/windows.graphics.printing3d.h")
-#             message("${WIN10SDK_INCLUDE_PATH}/winrt/windows.graphics.printing3d.h was not found")
-#             message("STL fixing by the Netfabb service will not be compiled")
-#             unset(WIN10SDK_INCLUDE_PATH)
-#         endif()
-#     endif()
-#     if(WIN10SDK_INCLUDE_PATH)
-#         message("Building with Win10 Netfabb STL fixing service support")
-#         add_definitions(-DHAS_WIN10SDK)
-#         include_directories(SYSTEM "${WIN10SDK_INCLUDE_PATH}")
-#     else()
-#         message("Building without Win10 Netfabb STL fixing service support")
-#     endif()
-# endif()
+if(WIN32)
+    if(NOT DEFINED WIN10SDK_PATH)
+        if(DEFINED ENV{WIN10SDK_PATH})
+                set(WIN10SDK_PATH "$ENV{WIN10SDK_PATH}")
+        endif()
+    endif()
+    if(DEFINED WIN10SDK_PATH)
+        #BBS: modify win10sdk_path
+        if (EXISTS "${WIN10SDK_PATH}/winrt/windows.graphics.printing3d.h")
+            set(WIN10SDK_INCLUDE_PATH "${WIN10SDK_PATH}")
+        else()
+            message("WIN10SDK_PATH is invalid: ${WIN10SDK_PATH}")
+            message("${WIN10SDK_PATH}/winrt/windows.graphics.printing3d.h was not found")
+            message("STL fixing by the Netfabb service will not be compiled")
+            unset(WIN10SDK_PATH)
+        endif()
+    else()
+        # Try to use the default Windows 10 SDK path.
+        if (DEFINED ENV{WindowsSdkDir} AND DEFINED ENV{WindowsSDKVersion})
+            set(WIN10SDK_INCLUDE_PATH "$ENV{WindowsSdkDir}/Include/$ENV{WindowsSDKVersion}")
+        else ()
+            set(WIN10SDK_INCLUDE_PATH "C:/Program Files (x86)/Windows Kits/10/Include/10.0.26100.0")
+        endif ()
+        if (NOT EXISTS "${WIN10SDK_INCLUDE_PATH}/winrt/windows.graphics.printing3d.h")
+            message("${WIN10SDK_INCLUDE_PATH}/winrt/windows.graphics.printing3d.h was not found")
+            message("STL fixing by the Netfabb service will not be compiled")
+            unset(WIN10SDK_INCLUDE_PATH)
+        endif()
+    endif()
+    if(WIN10SDK_INCLUDE_PATH)
+        message("Building with Win10 Netfabb STL fixing service support")
+        add_definitions(-DHAS_WIN10SDK)
+        include_directories(SYSTEM "${WIN10SDK_INCLUDE_PATH}")
+    else()
+        message("Building without Win10 Netfabb STL fixing service support")
+    endif()
+endif()
 
 if (APPLE)
     message("OS X SDK Path: ${CMAKE_OSX_SYSROOT}")
@@ -506,6 +378,11 @@ endif ()
 if (CMAKE_SYSTEM_NAME STREQUAL "Linux")
     find_package(PkgConfig REQUIRED)
 
+    if (CMAKE_VERSION VERSION_LESS "3.1")
+        # Workaround for an old CMake, which does not understand CMAKE_CXX_STANDARD.
+        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")
+    endif()
+
     # Boost on Raspberry-Pi does not link to pthreads.
     set(THREADS_PREFER_PTHREAD_FLAG ON)
     find_package(Threads REQUIRED)
@@ -708,9 +585,6 @@ endif()
 set(Boost_NO_SYSTEM_PATHS TRUE)
 find_package(Boost 1.83.0 REQUIRED COMPONENTS system filesystem thread log log_setup locale regex chrono atomic date_time iostreams program_options nowide)
 
-# Find and configure Eigen3
-find_package(Eigen3 5.0.1 REQUIRED)
-
 add_library(boost_libs INTERFACE)
 add_library(boost_headeronly INTERFACE)
 
@@ -795,6 +669,16 @@ endif()
 
 ## OPTIONAL packages
 
+# Find eigen3 or use bundled version
+if (NOT SLIC3R_STATIC)
+    find_package(Eigen3 3.3)
+endif ()
+if (NOT EIGEN3_FOUND)
+    set(EIGEN3_FOUND 1)
+    set(EIGEN3_INCLUDE_DIR ${LIBDIR}/eigen/)
+endif ()
+include_directories(BEFORE SYSTEM ${EIGEN3_INCLUDE_DIR})
+
 # Find expat or use bundled version
 # Always use the system libexpat on Linux.
 
@@ -820,6 +704,16 @@ if(APPLE AND CMAKE_VERSION VERSION_GREATER_EQUAL "4.0")
     set(OPENGL_LIBRARIES "-framework OpenGL" CACHE STRING "OpenGL framework" FORCE)
 endif()
 
+set(GLEW_ROOT "${CMAKE_PREFIX_PATH}")
+message("GLEW_ROOT: ${GLEW_ROOT}")
+# Find glew or use bundled version
+if (SLIC3R_STATIC AND NOT SLIC3R_STATIC_EXCLUDE_GLEW)
+    set(GLEW_USE_STATIC_LIBS ON)
+    set(GLEW_VERBOSE ON)
+endif()
+
+find_package(GLEW REQUIRED)
+
 find_package(glfw3 REQUIRED)
 
 # Find the Cereal serialization library
@@ -838,7 +732,7 @@ add_custom_target(gettext_make_pot
     COMMAND xgettext --keyword=L --keyword=_L --keyword=_u8L --keyword=L_CONTEXT:1,2c --keyword=_L_PLURAL:1,2 --add-comments=TRN --from-code=UTF-8 --no-location --debug --boost
         -f "${BBL_L18N_DIR}/list.txt"
         -o "${BBL_L18N_DIR}/OrcaSlicer.pot"
-    COMMAND hintsToPot ${SLIC3R_RESOURCES_DIR} ${BBL_L18N_DIR}
+	COMMAND hintsToPot ${SLIC3R_RESOURCES_DIR} ${BBL_L18N_DIR}
     WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}
     COMMENT "Generate pot file from strings in the source tree"
 )
@@ -875,86 +769,6 @@ endforeach()
 
 find_package(NLopt 1.4 REQUIRED)
 
-# Use bundled Python from deps instead of system Python
-set(_bundled_python_version "3.12.3")
-set(_bundled_python_abi "312")
-string(REGEX REPLACE "^([0-9]+\\.[0-9]+)\\..*$" "\\1" _bundled_python_version_short "${_bundled_python_version}")
-set(_bundled_python_root "${CMAKE_PREFIX_PATH}/libpython")
-set(Python3_ROOT_DIR "${_bundled_python_root}" CACHE PATH "Root directory for bundled Python" FORCE)
-set(Python3_USE_STATIC_LIBS OFF)
-set(Python3_FIND_STRATEGY LOCATION)
-set(Python3_FIND_IMPLEMENTATIONS CPython)
-
-if(WIN32)
-    set(_bundled_python_executable "${_bundled_python_root}/python.exe")
-    set(_bundled_python_library "${_bundled_python_root}/libs/python${_bundled_python_abi}.lib")
-    if(EXISTS "${_bundled_python_root}/python_d.exe")
-        set(_bundled_python_executable "${_bundled_python_root}/python_d.exe")
-    endif()
-    if(EXISTS "${_bundled_python_root}/libs/python${_bundled_python_abi}_d.lib")
-        set(_bundled_python_library "${_bundled_python_root}/libs/python${_bundled_python_abi}_d.lib")
-    endif()
-
-    set(Python3_FIND_REGISTRY NEVER)
-    set(Python3_EXECUTABLE "${_bundled_python_executable}" CACHE FILEPATH "Bundled Python executable" FORCE)
-    set(Python3_INCLUDE_DIR "${_bundled_python_root}/include" CACHE PATH "Bundled Python include directory" FORCE)
-    set(Python3_LIBRARY "${_bundled_python_library}" CACHE FILEPATH "Bundled Python embed import library" FORCE)
-elseif(APPLE)
-    set(Python3_FIND_FRAMEWORK NEVER)
-
-    find_program(_bundled_python_executable
-        NAMES python${_bundled_python_version_short} python3
-        PATHS "${_bundled_python_root}/bin"
-        NO_DEFAULT_PATH
-    )
-    find_path(_bundled_python_include_dir
-        NAMES Python.h
-        PATHS
-            "${_bundled_python_root}/include/python${_bundled_python_version_short}"
-            "${_bundled_python_root}/include"
-        NO_DEFAULT_PATH
-    )
-    find_library(_bundled_python_library
-        NAMES python${_bundled_python_version_short} libpython${_bundled_python_version_short}
-        PATHS "${_bundled_python_root}/lib"
-        NO_DEFAULT_PATH
-    )
-
-    if(NOT _bundled_python_executable)
-        message(FATAL_ERROR "Bundled Python executable not found under ${_bundled_python_root}/bin")
-    endif()
-    if(NOT _bundled_python_include_dir)
-        message(FATAL_ERROR "Bundled Python headers not found under ${_bundled_python_root}/include")
-    endif()
-    if(NOT _bundled_python_library)
-        message(FATAL_ERROR "Bundled Python library not found under ${_bundled_python_root}/lib")
-    endif()
-
-    set(Python3_EXECUTABLE "${_bundled_python_executable}" CACHE FILEPATH "Bundled Python executable" FORCE)
-    set(Python3_INCLUDE_DIR "${_bundled_python_include_dir}" CACHE PATH "Bundled Python include directory" FORCE)
-    set(Python3_LIBRARY "${_bundled_python_library}" CACHE FILEPATH "Bundled Python embed library" FORCE)
-endif()
-
-find_package(Python3 ${_bundled_python_version} EXACT REQUIRED
-    COMPONENTS Interpreter Development.Embed
-)
-
-# Provide a minimal pybind11::embed target sourced from deps_src/pybind11 headers.
-set(PYBIND11_SOURCE_DIR "${CMAKE_SOURCE_DIR}/deps_src/pybind11")
-if(NOT EXISTS "${PYBIND11_SOURCE_DIR}/include/pybind11/pybind11.h")
-    message(FATAL_ERROR "pybind11 headers not found in ${PYBIND11_SOURCE_DIR}. Did you initialize submodules?")
-endif()
-
-add_library(pybind11_headers INTERFACE)
-target_include_directories(pybind11_headers INTERFACE "${PYBIND11_SOURCE_DIR}/include")
-add_library(pybind11::headers ALIAS pybind11_headers)
-add_library(pybind11::pybind11 ALIAS pybind11_headers)
-
-add_library(pybind11_embed INTERFACE)
-target_link_libraries(pybind11_embed INTERFACE pybind11_headers Python3::Python)
-target_compile_definitions(pybind11_embed INTERFACE PYBIND11_SIMPLE_GIL_MANAGEMENT)
-add_library(pybind11::embed ALIAS pybind11_embed)
-
 
 if(SLIC3R_STATIC)
     set(OPENVDB_USE_STATIC_LIBS ON)
@@ -990,10 +804,8 @@ function(orcaslicer_copy_dlls target config postfix output_dlls)
         set(_arch "x64")
     elseif ("${CMAKE_SYSTEM_PROCESSOR}" STREQUAL "X86")
         set(_arch "x86")
-    elseif ("${CMAKE_SYSTEM_PROCESSOR}" STREQUAL "ARM64")
-        set(_arch "arm64")
     else ()
-        message(FATAL_ERROR "Unable to detect architecture: ${CMAKE_SYSTEM_PROCESSOR}")
+        message(FATAL_ERROR "Unable to detect architecture")
     endif ()
 
     get_property(_is_multi GLOBAL PROPERTY GENERATOR_IS_MULTI_CONFIG)
@@ -1104,12 +916,10 @@ if (NOT WIN32 AND NOT APPLE)
     configure_file(${LIBDIR}/dev-utils/platform/unix/build_appimage.sh.in ${CMAKE_CURRENT_BINARY_DIR}/build_appimage.sh USE_SOURCE_PERMISSIONS @ONLY)
 endif()
 
+
 # Resources install target, configure fhs.hpp on UNIX
 if (WIN32)
     install(DIRECTORY "${SLIC3R_RESOURCES_DIR}/" DESTINATION "./resources")
-    if(ORCA_BUNDLED_UV_EXECUTABLE)
-        install(PROGRAMS "${ORCA_BUNDLED_UV_EXECUTABLE}" DESTINATION "./resources/tools/uv" RENAME "${ORCA_BUNDLED_UV_FILENAME}")
-    endif()
     set(CMAKE_INSTALL_SYSTEM_RUNTIME_LIBS_SKIP TRUE)
     include(InstallRequiredSystemLibraries)
     install (PROGRAMS ${CMAKE_INSTALL_SYSTEM_RUNTIME_LIBS} DESTINATION ".")
@@ -1119,10 +929,7 @@ elseif (SLIC3R_FHS)
     install(DIRECTORY ${SLIC3R_RESOURCES_DIR}/ DESTINATION ${SLIC3R_FHS_RESOURCES}
         PATTERN "*/udev" EXCLUDE
     )
-    if(ORCA_BUNDLED_UV_EXECUTABLE)
-        install(PROGRAMS "${ORCA_BUNDLED_UV_EXECUTABLE}" DESTINATION "${SLIC3R_FHS_RESOURCES}/tools/uv" RENAME "${ORCA_BUNDLED_UV_FILENAME}")
-    endif()
-    install(FILES src/dev-utils/platform/unix/com.orcaslicer.OrcaSlicer.desktop DESTINATION ${CMAKE_INSTALL_DATAROOTDIR}/applications)
+    install(FILES src/dev-utils/platform/unix/OrcaSlicer.desktop DESTINATION ${CMAKE_INSTALL_DATAROOTDIR}/applications)
     foreach(SIZE 32 128 192)
         install(FILES ${SLIC3R_RESOURCES_DIR}/images/OrcaSlicer_${SIZE}px.png
             DESTINATION ${CMAKE_INSTALL_DATAROOTDIR}/icons/hicolor/${SIZE}x${SIZE}/apps RENAME OrcaSlicer.png
@@ -1130,15 +937,9 @@ elseif (SLIC3R_FHS)
     endforeach()
 elseif (CMAKE_MACOSX_BUNDLE)
     # install(DIRECTORY "${SLIC3R_RESOURCES_DIR}/" DESTINATION "${CMAKE_INSTALL_PREFIX}/OrcaSlicer.app/Contents/resources")
-    if(ORCA_BUNDLED_UV_EXECUTABLE)
-        install(PROGRAMS "${ORCA_BUNDLED_UV_EXECUTABLE}" DESTINATION "${CMAKE_INSTALL_PREFIX}/OrcaSlicer.app/Contents/Resources/tools/uv" RENAME "${ORCA_BUNDLED_UV_FILENAME}")
-    endif()
 else ()
-    install(FILES src/dev-utils/platform/unix/com.orcaslicer.OrcaSlicer.desktop DESTINATION ${CMAKE_INSTALL_PREFIX}/resources/applications)
+    install(FILES src/dev-utils/platform/unix/OrcaSlicer.desktop DESTINATION ${CMAKE_INSTALL_PREFIX}/resources/applications)
     install(DIRECTORY "${SLIC3R_RESOURCES_DIR}/" DESTINATION "${CMAKE_INSTALL_PREFIX}/resources")
-    if(ORCA_BUNDLED_UV_EXECUTABLE)
-        install(PROGRAMS "${ORCA_BUNDLED_UV_EXECUTABLE}" DESTINATION "${CMAKE_INSTALL_PREFIX}/resources/tools/uv" RENAME "${ORCA_BUNDLED_UV_FILENAME}")
-    endif()
 endif ()
 
 install(FILES ${CMAKE_SOURCE_DIR}/LICENSE.txt DESTINATION ".")
@@ -1150,16 +951,6 @@ set (CPACK_PACKAGE_VERSION_MAJOR "${ORCA_VERSION_MAJOR}")
 set (CPACK_PACKAGE_VERSION_MINOR "${ORCA_VERSION_MINOR}")
 set (CPACK_PACKAGE_VERSION_PATCH "${ORCA_VERSION_PATCH}")
 set (CPACK_PACKAGE_FILE_NAME "OrcaSlicer_Windows_Installer_V${SoftFever_VERSION}")
-# Suffix the Windows installer with its target arch so the x64 and arm64 builds
-# produce distinct filenames (matches ARCH_SUFFIX in build_orca.yml). Same
-# CMAKE_SYSTEM_PROCESSOR mapping used by orcaslicer_copy_dlls() above.
-if (WIN32)
-    if (CMAKE_SYSTEM_PROCESSOR STREQUAL "ARM64")
-        string (APPEND CPACK_PACKAGE_FILE_NAME "_arm64")
-    else ()
-        string (APPEND CPACK_PACKAGE_FILE_NAME "_x64")
-    endif ()
-endif ()
 set (CPACK_PACKAGE_DESCRIPTION_SUMMARY "Orca Slicer is an open source slicer for FDM printers")
 set (CPACK_PACKAGE_HOMEPAGE_URL "https://github.com/OrcaSlicer/OrcaSlicer")
 set (CPACK_PACKAGE_INSTALL_DIRECTORY ${CPACK_PACKAGE_NAME})
@@ -1167,6 +958,9 @@ set (CPACK_PACKAGE_ICON "${CMAKE_SOURCE_DIR}/resources/images\\\\OrcaSlicer.ico"
 set (CPACK_NSIS_MUI_ICON "${CPACK_PACKAGE_ICON}")
 set (CPACK_NSIS_MUI_UNIICON "${CPACK_PACKAGE_ICON}")
 set (CPACK_NSIS_INSTALLED_ICON_NAME  "$INSTDIR\\\\orca-slicer.exe")
+set(CPACK_NSIS_EXTRA_INSTALL_COMMANDS "
+    CreateShortCut \\\"$DESKTOP\\\\OrcaSlicer.lnk\\\" \\\"$INSTDIR\\\\orca-slicer.exe\\\"
+")
 set (CPACK_PACKAGE_CHECKSUM SHA256)
 set (CPACK_PACKAGE_INSTALL_REGISTRY_KEY "OrcaSlicer")
 set (CPACK_NSIS_ENABLE_UNINSTALL_BEFORE_INSTALL ON)

README.md

@@ -15,20 +15,15 @@ Optimize your prints with ultra-fast slicing, intelligent support generation, an
 # Official links and community
 
 #### Official Website:
-
 <a href="https://www.orcaslicer.com/" style="font-size:2em;">OrcaSlicer.com</a>
 
 #### Github Repository:
-
 <a href="https://github.com/OrcaSlicer/OrcaSlicer"><img src="https://img.shields.io/badge/OrcaSlicer-181717?style=flat&logo=github&logoColor=white" width="200" alt="GitHub Logo"/> </a>
 
 #### Follow us:
-
-<a href="https://twitter.com/real_OrcaSlicer"><img src="https://img.shields.io/badge/real__OrcaSlicer-000000?style=flat&logo=x&logoColor=white" width="200" alt="X Logo"/> </a>  
-<a href="https://www.youtube.com/@OfficialOrcaSlicer"><img src="https://img.shields.io/badge/OfficialOrcaSlicer-FF0000?style=flat&logo=youtube&logoColor=white" width="200" alt="YouTube Logo"/> </a>
+<a href="https://twitter.com/real_OrcaSlicer"><img src="https://img.shields.io/badge/real__OrcaSlicer-000000?style=flat&logo=x&logoColor=white" width="200" alt="X Logo"/> </a>
 
 #### Join our Discord community:
-
 <a href="https://discord.gg/P4VE9UY9gJ"><img src="https://img.shields.io/badge/-Discord-5865F2?style=flat&logo=discord&logoColor=fff" width="200" alt="discord logo"/> </a>
 
 <table border="2" style="border-color: #ffa500; background-color:rgb(232, 220, 180); color: #856404;">
@@ -49,7 +44,7 @@ If you come across any of these in search results, please <b>report them</b> as
 
 # Main features
 
-- **[Advanced Calibration Tools](https://www.orcaslicer.com/wiki/calibration_guide)**  
+- **[Advanced Calibration Tools](https://www.orcaslicer.com/wiki/Calibration)**  
   Comprehensive suite: temperature towers, flow rate, retraction & more for optimal performance.
 - **[Precise Wall](https://www.orcaslicer.com/wiki/quality_settings_precision#precise-wall) and [Seam Control](https://www.orcaslicer.com/wiki/quality_settings_seam)**  
   Adjust outer wall spacing and apply scarf seams to enhance print accuracy.
@@ -76,7 +71,7 @@ If you come across any of these in search results, please <b>report them</b> as
 The [wiki](https://www.orcaslicer.com/wiki) aims to provide a detailed explanation of the slicer settings, including how to maximize their use and how to calibrate and set up your printer.
 
 - **[Access the wiki here](https://www.orcaslicer.com/wiki)**
-- **[Contribute to the wiki](https://www.orcaslicer.com/wiki/how_to_wiki)**
+- **[Contribute to the wiki](https://www.orcaslicer.com/wiki/How-to-wiki)**
 
 # Download
 
@@ -96,17 +91,17 @@ Explore the latest developments in OrcaSlicer with our nightly builds. Feedback
 
 Download the **Windows Installer exe**  for your preferred version from the [releases page](https://github.com/OrcaSlicer/OrcaSlicer/releases).
 
-- *For convenience there is also a portable build available.*
+ - *For convenience there is also a portable build available.*
     <details>
     <summary>Troubleshooting</summary>
 
-  - *If you have troubles to run the build, you might need to install following runtimes:*
-  - [MicrosoftEdgeWebView2RuntimeInstallerX64](https://github.com/OrcaSlicer/OrcaSlicer/releases/download/v1.0.10-sf2/MicrosoftEdgeWebView2RuntimeInstallerX64.exe)
-    - [Details of this runtime](https://aka.ms/webview2)
-    - [Alternative Download Link Hosted by Microsoft](https://go.microsoft.com/fwlink/p/?LinkId=2124703)
-  - [vcredist2019_x64](https://github.com/OrcaSlicer/OrcaSlicer/releases/download/v1.0.10-sf2/vcredist2019_x64.exe)
-    - [Alternative Download Link Hosted by Microsoft](https://aka.ms/vs/17/release/vc_redist.x64.exe)
-    - This file may already be available on your computer if you've installed visual studio.  Check the following location: `%VCINSTALLDIR%Redist\MSVC\v142`
+    - *If you have troubles to run the build, you might need to install following runtimes:*
+    - [MicrosoftEdgeWebView2RuntimeInstallerX64](https://github.com/OrcaSlicer/OrcaSlicer/releases/download/v1.0.10-sf2/MicrosoftEdgeWebView2RuntimeInstallerX64.exe)
+        - [Details of this runtime](https://aka.ms/webview2)
+        - [Alternative Download Link Hosted by Microsoft](https://go.microsoft.com/fwlink/p/?LinkId=2124703)
+    - [vcredist2019_x64](https://github.com/OrcaSlicer/OrcaSlicer/releases/download/v1.0.10-sf2/vcredist2019_x64.exe)
+        -  [Alternative Download Link Hosted by Microsoft](https://aka.ms/vs/17/release/vc_redist.x64.exe)
+        -  This file may already be available on your computer if you've installed visual studio.  Check the following location: `%VCINSTALLDIR%Redist\MSVC\v142`
     </details>
 
 Windows Package Manager
@@ -142,36 +137,14 @@ winget install --id=SoftFever.OrcaSlicer -e
             ![mac_security_setting](./SoftFever_doc/mac_security_setting.png)
     </details>
 
-## Linux
+## Linux (Ubuntu)
 
-### Flathub (Recommended)
-
-OrcaSlicer is available through FlatHub:
-
-<a href='https://flathub.org/apps/com.orcaslicer.OrcaSlicer'><img width='240' alt='Download on Flathub' src='https://dl.flathub.org/assets/badges/flathub-badge-en.png'/></a>
-
-Install from the command line:
-
-```shell
-flatpak install flathub com.orcaslicer.OrcaSlicer
-flatpak run com.orcaslicer.OrcaSlicer
-```
-
-It can also be installed through graphical software managers (KDE Discover, GNOME Software, etc.) when Flathub is enabled. Search for **OrcaSlicer** in your software center.
-
-### AppImage
-
-AppImages are published for both **x86_64** and **aarch64** (ARM64). Pick the file matching your CPU — the ARM64 build has `aarch64` in its name (e.g. `OrcaSlicer_Linux_AppImage_Ubuntu2404_aarch64_*.AppImage`).
-
- 1. Download App image from the [releases page](https://github.com/OrcaSlicer/OrcaSlicer/releases).
- 2. Double click the downloaded file to run it.
-
- 3. If you run into trouble executing it, try this command in the terminal:
+ 1. If you run into trouble executing it, try this command in the terminal:
     `chmod +x /path_to_appimage/OrcaSlicer_Linux.AppImage`
 
 # How to Compile
 
-All updated build instructions for Windows, macOS, and Linux are now available on the official [OrcaSlicer Wiki - How to build](https://www.orcaslicer.com/wiki/how_to_build) page.
+All updated build instructions for Windows, macOS, and Linux are now available on the official [OrcaSlicer Wiki - How to build](https://www.orcaslicer.com/wiki/How-to-build) page.
 
 Please refer to the wiki to ensure you're following the latest and most accurate steps for your platform.
 
@@ -194,7 +167,7 @@ resolution: 0.1
 Their generous support enables me to purchase filaments and other essential 3D printing materials for the project.  
 Thank you! :)
 
-## Sponsors
+## Sponsors:
 
 <table>
 <tr>
@@ -217,8 +190,8 @@ Thank you! :)
 
 ## Support me
 
-<a href="https://github.com/sponsors/SoftFever"><img src="https://img.shields.io/badge/GitHub%20Sponsors-30363D?style=flat&logo=GitHub-Sponsors&logoColor=EA4AAA" height="50"></a>  
-<a href="https://ko-fi.com/G2G5IP3CP"><img src="https://img.shields.io/badge/Support_me_on_Ko--fi-FF5E5B?style=flat&logo=ko-fi&logoColor=white" height="50"></a>  
+<a href="https://github.com/sponsors/SoftFever"><img src="https://img.shields.io/badge/GitHub%20Sponsors-30363D?style=flat&logo=GitHub-Sponsors&logoColor=EA4AAA" height="50"></a>
+<a href="https://ko-fi.com/G2G5IP3CP"><img src="https://img.shields.io/badge/Support_me_on_Ko--fi-FF5E5B?style=flat&logo=ko-fi&logoColor=white" height="50"></a>
 <a href="https://paypal.me/softfever3d"><img src="https://img.shields.io/badge/PayPal-003087?style=flat&logo=paypal&logoColor=fff" height="50"></a>
 
 ## Some Background
@@ -227,10 +200,9 @@ Open-source slicing has always been built on a tradition of collaboration and at
 
 OrcaSlicer began in that same spirit, drawing from BambuStudio, PrusaSlicer, and ideas inspired by CuraSlicer and SuperSlicer. But it has since grown far beyond its origins. Through relentless innovation — introducing advanced calibration tools, precise wall and seam control, tree supports, adaptive slicing, and hundreds of other features — OrcaSlicer has become the most widely used and actively developed open-source slicer in the 3D printing community. Many of its innovations have been adopted by other slicers, making it a driving force for the entire industry.
 
-The OrcaSlicer logo was designed by community member [Justin Levine](https://github.com/jal-co).
+The OrcaSlicer logo was designed by community member Justin Levine (@freejstnalxndr).
 
 # License
-
 - **OrcaSlicer** is licensed under the GNU Affero General Public License, version 3.
 - The **GNU Affero General Public License**, version 3 ensures that if you use any part of this software in any way (even behind a web server), your software must be released under the same license.
 - OrcaSlicer includes a **pressure advance calibration pattern test** adapted from Andrew Ellis' generator, which is licensed under GNU General Public License, version 3. Ellis' generator is itself adapted from a generator developed by Sineos for Marlin, which is licensed under GNU General Public License, version 3.

build_flatpak.sh

@@ -199,22 +199,22 @@ echo -e "${GREEN}All required dependencies found${NC}"
 # Install runtime and SDK if requested
 if [[ "$INSTALL_RUNTIME" == true ]]; then
     echo -e "${YELLOW}Installing GNOME runtime and SDK...${NC}"
-    flatpak install --user -y flathub org.gnome.Platform//50
-    flatpak install --user -y flathub org.gnome.Sdk//50
+    flatpak install --user -y flathub org.gnome.Platform//49
+    flatpak install --user -y flathub org.gnome.Sdk//49
 fi
 
 # Check if required runtime is available
-if ! flatpak info --user org.gnome.Platform//50 &> /dev/null; then
-    echo -e "${RED}Error: GNOME Platform 50 runtime is not installed.${NC}"
+if ! flatpak info --user org.gnome.Platform//49 &> /dev/null; then
+    echo -e "${RED}Error: GNOME Platform 49 runtime is not installed.${NC}"
     echo "Run with -i flag to install it automatically, or install manually:"
-    echo "flatpak install --user flathub org.gnome.Platform//50"
+    echo "flatpak install --user flathub org.gnome.Platform//49"
     exit 1
 fi
 
-if ! flatpak info --user org.gnome.Sdk//50 &> /dev/null; then
-    echo -e "${RED}Error: GNOME SDK 50 is not installed.${NC}"
+if ! flatpak info --user org.gnome.Sdk//49 &> /dev/null; then
+    echo -e "${RED}Error: GNOME SDK 49 is not installed.${NC}"
     echo "Run with -i flag to install it automatically, or install manually:"
-    echo "flatpak install --user flathub org.gnome.Sdk//50"
+    echo "flatpak install --user flathub org.gnome.Sdk//49"
     exit 1
 fi
 

build_linux.sh

@@ -8,7 +8,7 @@ SCRIPT_PATH=$(dirname "$(readlink -f "${0}")")
 pushd "${SCRIPT_PATH}" > /dev/null
 
 function usage() {
-    echo "Usage: ./${SCRIPT_NAME} [-1][-b][-c][-d][-D][-e][-F][-g][-h][-i][-j N][-p][-r][-s][-t][-u][-l][-L]"
+    echo "Usage: ./${SCRIPT_NAME} [-1][-b][-c][-d][-D][-e][-h][-i][-j N][-p][-r][-s][-t][-u][-l][-L]"
     echo "   -1: limit builds to one core (where possible)"
     echo "   -j N: limit builds to N cores (where possible)"
     echo "   -b: build in Debug mode"
@@ -17,8 +17,6 @@ function usage() {
     echo "   -d: download and build dependencies in ./deps/ (build prerequisite)"
     echo "   -D: dry run"
     echo "   -e: build in RelWithDebInfo mode"
-    echo "   -F: rebuild the cached Docker/Podman runner image from scratch when used with -g"
-    echo "   -g: run the requested build steps inside a Docker/Podman Ubuntu 24.04 container similar to the GitHub Actions Linux runner"
     echo "   -h: prints this help text"
     echo "   -i: build the Orca Slicer AppImage (optional)"
     echo "   -p: boost ccache hit rate by disabling precompiled headers (default: ON)"
@@ -30,9 +28,6 @@ function usage() {
     echo "   -L: use ld.lld as linker (if available)"
     echo "For a first use, you want to './${SCRIPT_NAME} -u'"
     echo "   and then './${SCRIPT_NAME} -dsi'"
-    echo "For a GitHub Actions-like Linux build locally, use './${SCRIPT_NAME} -g -istrlL'"
-    echo "Use './${SCRIPT_NAME} -gF -istrlL' to rebuild the cached runner image first."
-    echo "Set ORCA_CONTAINER_CLI, ORCA_DOCKER_IMAGE, ORCA_DOCKER_BASE_IMAGE, or ORCA_DOCKER_CMAKE_VERSION to override the container runtime, cached image tag, base image, or CMake version."
 }
 
 SLIC3R_PRECOMPILED_HEADERS="ON"
@@ -40,83 +35,60 @@ SLIC3R_PRECOMPILED_HEADERS="ON"
 unset name
 BUILD_DIR=build
 BUILD_CONFIG=Release
-FORWARDED_ARGS=()
-while getopts ":1j:bcCdDeFghiprstulL" opt ; do
+while getopts ":1j:bcCdDehiprstulL" opt ; do
   case ${opt} in
     1 )
         export CMAKE_BUILD_PARALLEL_LEVEL=1
-        FORWARDED_ARGS+=("-1")
         ;;
     j )
         export CMAKE_BUILD_PARALLEL_LEVEL=$OPTARG
-        FORWARDED_ARGS+=("-j" "$OPTARG")
         ;;
     b )
         BUILD_DIR=build-dbg
         BUILD_CONFIG=Debug
-        FORWARDED_ARGS+=("-b")
         ;;
     c )
         CLEAN_BUILD=1
-        FORWARDED_ARGS+=("-c")
         ;;
     C )
         COLORED_OUTPUT="-DCOLORED_OUTPUT=ON"
-        FORWARDED_ARGS+=("-C")
         ;;
     d )
         BUILD_DEPS="1"
-        FORWARDED_ARGS+=("-d")
         ;;
     D )
         DRY_RUN="1"
-        FORWARDED_ARGS+=("-D")
         ;;
     e )
         BUILD_DIR=build-dbginfo
         BUILD_CONFIG=RelWithDebInfo
-        FORWARDED_ARGS+=("-e")
-        ;;
-    F )
-        CLEAN_DOCKER_IMAGE="1"
-        ;;
-    g )
-        USE_DOCKER="1"
         ;;
     h ) usage
         exit 1
         ;;
     i )
         BUILD_IMAGE="1"
-        FORWARDED_ARGS+=("-i")
         ;;
     p )
         SLIC3R_PRECOMPILED_HEADERS="OFF"
-        FORWARDED_ARGS+=("-p")
         ;;
     r )
         SKIP_RAM_CHECK="1"
-        FORWARDED_ARGS+=("-r")
         ;;
     s )
         BUILD_ORCA="1"
-        FORWARDED_ARGS+=("-s")
         ;;
     t )
         BUILD_TESTS="1"
-        FORWARDED_ARGS+=("-t")
         ;;
     u )
         export UPDATE_LIB="1"
-        FORWARDED_ARGS+=("-u")
         ;;
     l )
         USE_CLANG="1"
-        FORWARDED_ARGS+=("-l")
         ;;
     L )
         USE_LLD="1"
-        FORWARDED_ARGS+=("-L")
         ;;
     * )
 	echo "Unknown argument '${opt}', aborting."
@@ -130,11 +102,6 @@ if [ ${OPTIND} -eq 1 ] ; then
     exit 1
 fi
 
-if [[ -n "${CLEAN_DOCKER_IMAGE}" ]] && [[ -z "${USE_DOCKER}" ]] ; then
-    echo "Error: -F requires -g."
-    exit 1
-fi
-
 function check_available_memory_and_disk() {
     FREE_MEM_GB=$(free --gibi --total | grep 'Mem' | rev | cut --delimiter=" " --fields=1 | rev)
     MIN_MEM_GB=10
@@ -172,275 +139,6 @@ function print_and_run() {
     fi
 }
 
-function resolve_container_cli() {
-    if [[ -n "${ORCA_CONTAINER_CLI}" ]] ; then
-        if ! command -v "${ORCA_CONTAINER_CLI}" >/dev/null 2>&1 ; then
-            echo "Error: container runtime '${ORCA_CONTAINER_CLI}' was not found." >&2
-            exit 1
-        fi
-
-        echo "${ORCA_CONTAINER_CLI}"
-        return
-    fi
-
-    if command -v docker >/dev/null 2>&1 ; then
-        echo "docker"
-        return
-    fi
-
-    if command -v podman >/dev/null 2>&1 ; then
-        echo "podman"
-        return
-    fi
-
-    echo "Error: neither docker nor podman is available. Install one of them or set ORCA_CONTAINER_CLI." >&2
-    exit 1
-}
-
-function get_docker_runner_image() {
-    local base_image
-    local docker_cmake_version
-    local recipe_hash
-    local sanitized_base_image
-    local sanitized_cmake_version
-
-    if [[ -n "${ORCA_DOCKER_IMAGE}" ]] ; then
-        echo "${ORCA_DOCKER_IMAGE}"
-        return
-    fi
-
-    base_image="${ORCA_DOCKER_BASE_IMAGE:-ubuntu:24.04}"
-    docker_cmake_version="${ORCA_DOCKER_CMAKE_VERSION-4.3.0}"
-    recipe_hash=$(find "${SCRIPT_PATH}/build_linux.sh" "${SCRIPT_PATH}/scripts/linux.d" -type f -print0 | sort -z | xargs -0 cat | sha256sum | cut -c1-12)
-    sanitized_base_image=$(echo "${base_image}" | tr '/:@' '---' | tr -cs 'A-Za-z0-9_.-' '-')
-    sanitized_cmake_version=$(echo "${docker_cmake_version:-system}" | tr -cs 'A-Za-z0-9_.-' '-')
-    echo "orcaslicer-linux-builder:${sanitized_base_image}-cmake-${sanitized_cmake_version}-${recipe_hash}"
-}
-
-function docker_runner_dockerfile() {
-    cat <<'EOF'
-ARG BASE_IMAGE=ubuntu:24.04
-FROM ${BASE_IMAGE}
-
-ARG CMAKE_VERSION=4.3.0
-
-ENV DEBIAN_FRONTEND=noninteractive
-SHELL ["/bin/bash", "-c"]
-
-RUN apt-get update && apt-get install -y sudo ca-certificates curl tar
-
-COPY build_linux.sh /tmp/orcaslicer/build_linux.sh
-COPY scripts/linux.d /tmp/orcaslicer/scripts/linux.d
-
-WORKDIR /tmp/orcaslicer
-
-RUN chmod +x ./build_linux.sh
-RUN ./build_linux.sh -ur
-RUN if [[ -n "${CMAKE_VERSION}" ]] ; then \
-        case "$(uname -m)" in \
-            x86_64|amd64) cmake_arch="x86_64" ;; \
-            aarch64|arm64) cmake_arch="aarch64" ;; \
-            *) cmake_arch="" ;; \
-        esac ; \
-        if [[ -n "${cmake_arch}" ]] ; then \
-            cmake_root="/opt/cmake-${CMAKE_VERSION}-linux-${cmake_arch}" ; \
-            if ! curl -fsSL "https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-${cmake_arch}.tar.gz" | tar -xz -C /opt ; then \
-                echo "Warning: failed to install CMake ${CMAKE_VERSION}; falling back to the distro cmake package." ; \
-            elif [[ -d "${cmake_root}" ]] ; then \
-                ln -sf "${cmake_root}/bin/"* /usr/local/bin/ ; \
-            fi ; \
-        else \
-            echo "Skipping GitHub Actions CMake install for unsupported architecture $(uname -m)." ; \
-        fi ; \
-    fi
-RUN rm -rf /var/lib/apt/lists/* /tmp/orcaslicer
-EOF
-}
-
-function ensure_docker_runner_image() {
-    local container_cli
-    local base_image
-    local runner_image
-    local docker_cmake_version
-    local image_exists="0"
-    local force_rebuild="0"
-    local -a build_cmd
-
-    container_cli="$1"
-    runner_image="$2"
-    base_image="${ORCA_DOCKER_BASE_IMAGE:-ubuntu:24.04}"
-    docker_cmake_version="${ORCA_DOCKER_CMAKE_VERSION-4.3.0}"
-
-    if "${container_cli}" image inspect "${runner_image}" >/dev/null 2>&1 ; then
-        image_exists="1"
-    fi
-
-    if [[ -n "${CLEAN_DOCKER_IMAGE}" ]] ; then
-        force_rebuild="1"
-        if [[ "${image_exists}" == "1" ]] ; then
-            echo "Removing cached container image ${runner_image} ..."
-            if [[ -z "${DRY_RUN}" ]] ; then
-                "${container_cli}" image rm -f "${runner_image}" >/dev/null
-            else
-                printf '%q ' "${container_cli}" image rm -f "${runner_image}"
-                echo
-            fi
-            image_exists="0"
-        fi
-    fi
-
-    if [[ "${image_exists}" == "1" ]] ; then
-        echo "Using cached container image ${runner_image}"
-        return
-    fi
-
-    build_cmd=(
-        "${container_cli}" build --pull
-        -t "${runner_image}"
-        --build-arg "BASE_IMAGE=${base_image}"
-        --build-arg "CMAKE_VERSION=${docker_cmake_version}"
-    )
-    if [[ "${force_rebuild}" == "1" ]] ; then
-        build_cmd+=(--no-cache)
-    fi
-    build_cmd+=(-f - "${SCRIPT_PATH}")
-
-    printf '%q ' "${build_cmd[@]}"
-    echo
-    if [[ -n "${DRY_RUN}" ]] ; then
-        return
-    fi
-
-    docker_runner_dockerfile | "${build_cmd[@]}"
-}
-
-function run_in_docker() {
-    local container_cli
-    local runner_image
-    local container_workspace
-    local host_uid
-    local host_gid
-    local host_user
-    local -a build_args
-    local -a container_env
-
-    container_cli=$(resolve_container_cli)
-    runner_image=$(get_docker_runner_image)
-    host_uid=$(id -u)
-    host_gid=$(id -g)
-    host_user="${USER:-orca}"
-    container_workspace="/__w/OrcaSlicer/OrcaSlicer"
-    build_args=()
-    for item in "${FORWARDED_ARGS[@]}" ; do
-        if [[ "${item}" == "-u" ]] || [[ "${item}" == "-D" ]] ; then
-            continue
-        fi
-
-        build_args+=("${item}")
-    done
-
-    container_env=(
-        -e "CI=true"
-        -e "GITHUB_ACTIONS=true"
-        -e "GITHUB_WORKSPACE=${container_workspace}"
-        -e "RUNNER_OS=Linux"
-        -e "RUNNER_TEMP=/tmp"
-        -e "HOST_UID=${host_uid}"
-        -e "HOST_GID=${host_gid}"
-        -e "HOST_USER=${host_user}"
-    )
-    if [[ -n "${CMAKE_BUILD_PARALLEL_LEVEL}" ]] ; then
-        container_env+=( -e "CMAKE_BUILD_PARALLEL_LEVEL=${CMAKE_BUILD_PARALLEL_LEVEL}" )
-    fi
-    if [[ -n "${ORCA_UPDATER_SIG_KEY}" ]] ; then
-        container_env+=( -e "ORCA_UPDATER_SIG_KEY=${ORCA_UPDATER_SIG_KEY}" )
-    fi
-
-    ensure_docker_runner_image "${container_cli}" "${runner_image}"
-
-    printf '%q ' "${container_cli}" run --rm -i \
-        -v "${SCRIPT_PATH}:${container_workspace}" \
-        -w "${container_workspace}" \
-        "${container_env[@]}" \
-        "${runner_image}" \
-        bash -s -- "${build_args[@]}"
-    echo
-    if [[ -n "${DRY_RUN}" ]] ; then
-        return
-    fi
-
-    "${container_cli}" run --rm -i \
-        -v "${SCRIPT_PATH}:${container_workspace}" \
-        -w "${container_workspace}" \
-        "${container_env[@]}" \
-        "${runner_image}" \
-        bash -s -- "${build_args[@]}" <<'EOF'
-set -e
-
-function create_builder_user() {
-    if [[ "${HOST_UID}" == "0" ]] ; then
-        HOST_USER=root
-        return
-    fi
-
-    if getent group "${HOST_GID}" >/dev/null 2>&1 ; then
-        HOST_GROUP=$(getent group "${HOST_GID}" | cut -d: -f1)
-    else
-        HOST_GROUP="orca-builder"
-        if getent group "${HOST_GROUP}" >/dev/null 2>&1 ; then
-            HOST_GROUP="orca-builder-${HOST_GID}"
-        fi
-        groupadd -g "${HOST_GID}" "${HOST_GROUP}"
-    fi
-
-    if getent passwd "${HOST_UID}" >/dev/null 2>&1 ; then
-        HOST_USER=$(getent passwd "${HOST_UID}" | cut -d: -f1)
-        usermod -g "${HOST_GROUP}" "${HOST_USER}"
-    elif id -u "${HOST_USER}" >/dev/null 2>&1 ; then
-        usermod -u "${HOST_UID}" -g "${HOST_GROUP}" "${HOST_USER}"
-    else
-        useradd -m -u "${HOST_UID}" -g "${HOST_GROUP}" -s /bin/bash "${HOST_USER}"
-    fi
-
-    echo "${HOST_USER} ALL=(ALL) NOPASSWD:ALL" >/etc/sudoers.d/orcaslicer-builder
-    chmod 0440 /etc/sudoers.d/orcaslicer-builder
-}
-
-create_builder_user
-mkdir -p "${GITHUB_WORKSPACE}/deps/build/destdir"
-chown -R "${HOST_UID}:${HOST_GID}" "${GITHUB_WORKSPACE}/deps/build"
-if [[ -d "${GITHUB_WORKSPACE}/build" ]] ; then
-    chown -R "${HOST_UID}:${HOST_GID}" "${GITHUB_WORKSPACE}/build"
-fi
-if [[ -d "${GITHUB_WORKSPACE}/build-dbg" ]] ; then
-    chown -R "${HOST_UID}:${HOST_GID}" "${GITHUB_WORKSPACE}/build-dbg"
-fi
-if [[ -d "${GITHUB_WORKSPACE}/build-dbginfo" ]] ; then
-    chown -R "${HOST_UID}:${HOST_GID}" "${GITHUB_WORKSPACE}/build-dbginfo"
-fi
-
-sudo -H -u "${HOST_USER}" env \
-    CMAKE_BUILD_PARALLEL_LEVEL="${CMAKE_BUILD_PARALLEL_LEVEL-}" \
-    GITHUB_WORKSPACE="${GITHUB_WORKSPACE}" \
-    ORCA_UPDATER_SIG_KEY="${ORCA_UPDATER_SIG_KEY-}" \
-    bash -c '
-        set -e
-        cd "${GITHUB_WORKSPACE}"
-        if [[ "$#" -gt 0 ]] ; then
-            ./build_linux.sh "$@"
-        else
-            echo "No build steps were requested after container setup."
-        fi
-    ' bash "$@"
-EOF
-}
-
-if [[ -n "${USE_DOCKER}" ]] ; then
-    run_in_docker
-    popd > /dev/null # ${SCRIPT_PATH}
-    exit 0
-fi
-
 # cmake 4.x compatibility workaround
 export CMAKE_POLICY_VERSION_MINIMUM=3.5
 
@@ -454,8 +152,6 @@ elif [[ "${DISTRIBUTION_LIKE}" == *"debian"* ]] || [[ "${DISTRIBUTION_LIKE}" ==
     DISTRIBUTION="debian"
 elif [[ "${DISTRIBUTION_LIKE}" == *"arch"* ]] ; then
     DISTRIBUTION="arch"
-elif [[ "${DISTRIBUTION_LIKE}" == *"suse"* ]] ; then
-    DISTRIBUTION="suse"
 fi
 
 if [ ! -f "./scripts/linux.d/${DISTRIBUTION}" ] ; then
@@ -504,26 +200,6 @@ if [[ -n "${USE_LLD}" ]] ; then
     fi
 fi
 
-export CMAKE_CCACHE_ARGS=()
-CMAKE_CCACHE=${CMAKE_CCACHE:-}
-if [ -n "$CMAKE_CCACHE" ]; then
-        echo "Checking ${CMAKE_CCACHE} environment variable for compiler cache program..."
-        CMAKE_CCACHE=$(command -v "${CMAKE_CCACHE}") || {
-            echo "CMAKE_CCACHE environment variable is set to '${CMAKE_CCACHE}' but it was not found in PATH."
-            CMAKE_CCACHE=""
-        }
-elif command -v sccache >/dev/null 2>&1 ; then
-        CMAKE_CCACHE=$(command -v sccache)
-elif command -v ccache >/dev/null 2>&1 ; then
-        CMAKE_CCACHE=$(command -v ccache)
-fi
-if [ -n "${CMAKE_CCACHE}" ] ; then
-    echo "${CMAKE_CCACHE} found, enabling compiler caching..."
-    export CMAKE_CCACHE_ARGS=(-DCMAKE_C_COMPILER_LAUNCHER="${CMAKE_CCACHE}" -DCMAKE_CXX_COMPILER_LAUNCHER="${CMAKE_CCACHE}")
-else
-    echo "Note: ccache or sccache are not found. Install either of them for faster rebuilds."
-fi
-
 if [[ -n "${BUILD_DEPS}" ]] ; then
     echo "Configuring dependencies..."
     read -r -a BUILD_ARGS <<< "${DEPS_EXTRA_BUILD_ARGS}"
@@ -536,8 +212,8 @@ if [[ -n "${BUILD_DEPS}" ]] ; then
         BUILD_ARGS+=(-DCMAKE_BUILD_TYPE="${BUILD_CONFIG}")
     fi
 
-    print_and_run cmake -S deps -B deps/$BUILD_DIR "${CMAKE_C_CXX_COMPILER_CLANG[@]}" "${CMAKE_LLD_LINKER_ARGS[@]}" "${CMAKE_CCACHE_ARGS[@]}" -G Ninja "${COLORED_OUTPUT}" "${BUILD_ARGS[@]}"
-    print_and_run cmake --build deps/$BUILD_DIR -j1
+    print_and_run cmake -S deps -B deps/$BUILD_DIR "${CMAKE_C_CXX_COMPILER_CLANG[@]}" "${CMAKE_LLD_LINKER_ARGS[@]}" -G Ninja "${COLORED_OUTPUT}" "${BUILD_ARGS[@]}"
+    print_and_run cmake --build deps/$BUILD_DIR
 fi
 
 if [[ -n "${BUILD_ORCA}" ]] || [[ -n "${BUILD_TESTS}" ]] ; then
@@ -556,7 +232,7 @@ if [[ -n "${BUILD_ORCA}" ]] || [[ -n "${BUILD_TESTS}" ]] ; then
         BUILD_ARGS+=(-DORCA_UPDATER_SIG_KEY="${ORCA_UPDATER_SIG_KEY}")
     fi
 
-    print_and_run cmake -S . -B $BUILD_DIR "${CMAKE_C_CXX_COMPILER_CLANG[@]}" "${CMAKE_LLD_LINKER_ARGS[@]}" "${CMAKE_CCACHE_ARGS[@]}" -G "Ninja Multi-Config" \
+    print_and_run cmake -S . -B $BUILD_DIR "${CMAKE_C_CXX_COMPILER_CLANG[@]}" "${CMAKE_LLD_LINKER_ARGS[@]}" -G "Ninja Multi-Config" \
 -DSLIC3R_PCH=${SLIC3R_PRECOMPILED_HEADERS} \
 -DORCA_TOOLS=ON \
 "${COLORED_OUTPUT}" \

build_release_macos.sh

@@ -179,45 +179,6 @@ function pack_deps() {
     )
 }
 
-# --- Bundled Python runtime verification --------------------------------------
-# Relocation is handled at the source: deps/python3/python3.cmake stamps
-# libpython with an @rpath id and src/CMakeLists.txt gives the app a matching
-# rpath. This gate catches regressions that would otherwise only surface as
-# launch failures on end users' machines (the absolute deps path still exists
-# on the build host, so a plain run can pass while relocation is broken --
-# hence the otool checks). The x86_64 leg runs under Rosetta on arm64 hosts.
-function verify_python_runtime() {
-    local app="$1"
-    local pydir="$app/Contents/MacOS/python"
-    [ -d "$pydir" ] || return 0  # app doesn't bundle Python (e.g. profile validator)
-    # Version-agnostic interpreter name so a CPython version bump cannot
-    # silently skip the gate; if the dir exists the interpreter must too.
-    local pybin="$pydir/bin/python3"
-    if [ ! -x "$pybin" ]; then
-        echo "ERROR: bundled python/ present but no interpreter at $pybin" >&2
-        exit 1
-    fi
-    echo "  Verifying bundled Python runtime in $(basename "$app")..."
-    local bad
-    bad=$(otool -arch all -L "$pybin" "$app/Contents/MacOS/OrcaSlicer" | grep "libpython" | grep -v "@rpath/" || true)
-    if [ -n "$bad" ]; then
-        echo "ERROR: a bundled binary references libpython by absolute path (relocation regression):" >&2
-        echo "$bad" >&2
-        exit 1
-    fi
-    # otool -L shows load commands only; assert the consumer rpath separately.
-    # Its loss is masked on the build host by CMake's absolute build-tree rpath.
-    if ! otool -arch all -l "$app/Contents/MacOS/OrcaSlicer" | grep -q "path @executable_path/python/lib "; then
-        echo "ERROR: OrcaSlicer lacks the @executable_path/python/lib rpath (relocation regression)" >&2
-        exit 1
-    fi
-    if ! "$pybin" -c "import ssl"; then
-        echo "ERROR: bundled Python failed to start (libpython relocation broken," >&2
-        echo "       or missing Rosetta 2 for the x86_64 leg?)" >&2
-        exit 1
-    fi
-}
-
 function build_slicer() {
     # iterate over two architectures: x86_64 and arm64
     for _ARCH in x86_64 arm64; do
@@ -278,8 +239,6 @@ function build_slicer() {
             cp -R "$resources_path" ./OrcaSlicer.app/Contents/Resources
             # delete .DS_Store file
             find ./OrcaSlicer.app/ -name '.DS_Store' -delete
-
-            verify_python_runtime ./OrcaSlicer.app
             
             # Copy OrcaSlicer_profile_validator.app if it exists
             if [ -f "../src$BUILD_DIR_CONFIG_SUBDIR/OrcaSlicer_profile_validator.app/Contents/MacOS/OrcaSlicer_profile_validator" ]; then
@@ -288,7 +247,6 @@ function build_slicer() {
                 cp -pR "../src$BUILD_DIR_CONFIG_SUBDIR/OrcaSlicer_profile_validator.app" ./OrcaSlicer_profile_validator.app
                 # delete .DS_Store file
                 find ./OrcaSlicer_profile_validator.app/ -name '.DS_Store' -delete
-                verify_python_runtime ./OrcaSlicer_profile_validator.app
             fi
         )
 
@@ -344,7 +302,6 @@ function build_universal() {
     echo "Creating universal binaries for OrcaSlicer.app..."
     lipo_dir "$UNIVERSAL_APP" "$X86_64_APP"
     echo "Universal OrcaSlicer.app created at $UNIVERSAL_APP"
-    verify_python_runtime "$UNIVERSAL_APP"
 
     # Create universal binary for profile validator if it exists
     ARM64_VALIDATOR="$PROJECT_DIR/build/arm64/OrcaSlicer/OrcaSlicer_profile_validator.app"

build_release_vs.bat

@@ -3,17 +3,6 @@
 set WP=%CD%
 set _START_TIME=%TIME%
 
-@REM Default target architecture to the host CPU arch; override by passing
-@REM "x64" or "arm64" as an argument. PROCESSOR_ARCHITEW6432 covers a 32-bit
-@REM shell running on a 64-bit OS, where PROCESSOR_ARCHITECTURE reads "x86".
-set arch=x64
-if /I "%PROCESSOR_ARCHITECTURE%"=="ARM64" set arch=ARM64
-if /I "%PROCESSOR_ARCHITEW6432%"=="ARM64" set arch=ARM64
-if /I "%1"=="arm64" set arch=ARM64
-if /I "%2"=="arm64" set arch=ARM64
-if /I "%1"=="x64" set arch=x64
-if /I "%2"=="x64" set arch=x64
-
 @REM Check for Ninja Multi-Config option (-x)
 set USE_NINJA=0
 for %%a in (%*) do (
@@ -79,13 +68,12 @@ echo Using CMake generator: %CMAKE_GENERATOR%
 
 @REM Pack deps
 if "%1"=="pack" (
-    setlocal ENABLEDELAYEDEXPANSION
+    setlocal ENABLEDELAYEDEXPANSION 
     cd %WP%/deps/build
-    if "%arch%"=="ARM64" cd %WP%/deps/build-arm64
     for /f "tokens=2-4 delims=/ " %%a in ('date /t') do set build_date=%%c%%b%%a
-    echo packing deps: OrcaSlicer_dep_win-!arch!_!build_date!_vs!VS_VERSION!.zip
+    echo packing deps: OrcaSlicer_dep_win64_!build_date!_vs!VS_VERSION!.zip
 
-    %WP%/tools/7z.exe a OrcaSlicer_dep_win-!arch!_!build_date!_vs!VS_VERSION!.zip OrcaSlicer_dep
+    %WP%/tools/7z.exe a OrcaSlicer_dep_win64_!build_date!_vs!VS_VERSION!.zip OrcaSlicer_dep
     goto :done
 )
 
@@ -107,10 +95,9 @@ if "%debug%"=="ON" (
         set build_dir=build
     )
 )
-if "%arch%"=="ARM64" set build_dir=%build_dir%-arm64
-echo build type set to %build_type%, arch=%arch%
+echo build type set to %build_type%
 
-setlocal DISABLEDELAYEDEXPANSION
+setlocal DISABLEDELAYEDEXPANSION 
 cd deps
 mkdir %build_dir%
 cd %build_dir%
@@ -129,7 +116,7 @@ if "%USE_NINJA%"=="1" (
     cmake ../ -G %CMAKE_GENERATOR% -DCMAKE_BUILD_TYPE=%build_type%
     cmake --build . --config %build_type% --target deps
 ) else (
-    cmake ../ -G %CMAKE_GENERATOR% -A %arch% -DCMAKE_BUILD_TYPE=%build_type%
+    cmake ../ -G %CMAKE_GENERATOR% -A x64 -DCMAKE_BUILD_TYPE=%build_type%
     cmake --build . --config %build_type% --target deps -- -m
 )
 @echo off
@@ -148,7 +135,7 @@ if "%USE_NINJA%"=="1" (
     cmake .. -G %CMAKE_GENERATOR% -DORCA_TOOLS=ON %SIG_FLAG% -DCMAKE_BUILD_TYPE=%build_type%
     cmake --build . --config %build_type% --target ALL_BUILD
 ) else (
-    cmake .. -G %CMAKE_GENERATOR% -A %arch% -DORCA_TOOLS=ON %SIG_FLAG% -DCMAKE_BUILD_TYPE=%build_type%
+    cmake .. -G %CMAKE_GENERATOR% -A x64 -DORCA_TOOLS=ON %SIG_FLAG% -DCMAKE_BUILD_TYPE=%build_type%
     cmake --build . --config %build_type% --target ALL_BUILD -- -m
 )
 @echo off

build_release_vs2022.bat

@@ -15,18 +15,10 @@ if "%1"=="pack" (
 
 set debug=OFF
 set debuginfo=OFF
-@REM Default target architecture to the host CPU arch; override with x64/arm64 arg.
-set arch=x64
-if /I "%PROCESSOR_ARCHITECTURE%"=="ARM64" set arch=ARM64
-if /I "%PROCESSOR_ARCHITEW6432%"=="ARM64" set arch=ARM64
 if "%1"=="debug" set debug=ON
 if "%2"=="debug" set debug=ON
 if "%1"=="debuginfo" set debuginfo=ON
 if "%2"=="debuginfo" set debuginfo=ON
-if /I "%1"=="arm64" set arch=ARM64
-if /I "%2"=="arm64" set arch=ARM64
-if /I "%1"=="x64" set arch=x64
-if /I "%2"=="x64" set arch=x64
 if "%debug%"=="ON" (
     set build_type=Debug
     set build_dir=build-dbg
@@ -39,8 +31,7 @@ if "%debug%"=="ON" (
         set build_dir=build
     )
 )
-if "%arch%"=="ARM64" set build_dir=%build_dir%-arm64
-echo build type set to %build_type%, arch=%arch%
+echo build type set to %build_type%
 
 setlocal DISABLEDELAYEDEXPANSION 
 cd deps
@@ -57,7 +48,7 @@ echo "building deps.."
 echo on
 REM Set minimum CMake policy to avoid <3.5 errors
 set CMAKE_POLICY_VERSION_MINIMUM=3.5
-cmake ../ -G "Visual Studio 17 2022" -A %arch% -DCMAKE_BUILD_TYPE=%build_type%
+cmake ../ -G "Visual Studio 17 2022" -A x64 -DCMAKE_BUILD_TYPE=%build_type%
 cmake --build . --config %build_type% --target deps -- -m
 @echo off
 
@@ -71,7 +62,7 @@ cd %build_dir%
 
 echo on
 set CMAKE_POLICY_VERSION_MINIMUM=3.5
-cmake .. -G "Visual Studio 17 2022" -A %arch% -DORCA_TOOLS=ON %SIG_FLAG% -DCMAKE_BUILD_TYPE=%build_type%
+cmake .. -G "Visual Studio 17 2022" -A x64 -DORCA_TOOLS=ON %SIG_FLAG% -DCMAKE_BUILD_TYPE=%build_type%
 cmake --build . --config %build_type% --target ALL_BUILD -- -m
 @echo off
 cd ..

cmake/modules/FindEigen3.cmake

@@ -0,0 +1,86 @@
+# - Try to find Eigen3 lib
+#
+# This module supports requiring a minimum version, e.g. you can do
+#   find_package(Eigen3 3.1.2)
+# to require version 3.1.2 or newer of Eigen3.
+#
+# Once done this will define
+#
+#  EIGEN3_FOUND - system has eigen lib with correct version
+#  EIGEN3_INCLUDE_DIR - the eigen include directory
+#  EIGEN3_VERSION - eigen version
+
+# Copyright (c) 2006, 2007 Montel Laurent, <montel@kde.org>
+# Copyright (c) 2008, 2009 Gael Guennebaud, <g.gael@free.fr>
+# Copyright (c) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+# Redistribution and use is allowed according to the terms of the 2-clause BSD license.
+
+if(NOT Eigen3_FIND_VERSION)
+  if(NOT Eigen3_FIND_VERSION_MAJOR)
+    set(Eigen3_FIND_VERSION_MAJOR 2)
+  endif(NOT Eigen3_FIND_VERSION_MAJOR)
+  if(NOT Eigen3_FIND_VERSION_MINOR)
+    set(Eigen3_FIND_VERSION_MINOR 91)
+  endif(NOT Eigen3_FIND_VERSION_MINOR)
+  if(NOT Eigen3_FIND_VERSION_PATCH)
+    set(Eigen3_FIND_VERSION_PATCH 0)
+  endif(NOT Eigen3_FIND_VERSION_PATCH)
+
+  set(Eigen3_FIND_VERSION "${Eigen3_FIND_VERSION_MAJOR}.${Eigen3_FIND_VERSION_MINOR}.${Eigen3_FIND_VERSION_PATCH}")
+endif(NOT Eigen3_FIND_VERSION)
+
+macro(_eigen3_check_version)
+  file(READ "${EIGEN3_INCLUDE_DIR}/Eigen/src/Core/util/Macros.h" _eigen3_version_header)
+
+  string(REGEX MATCH "define[ \t]+EIGEN_WORLD_VERSION[ \t]+([0-9]+)" _eigen3_world_version_match "${_eigen3_version_header}")
+  set(EIGEN3_WORLD_VERSION "${CMAKE_MATCH_1}")
+  string(REGEX MATCH "define[ \t]+EIGEN_MAJOR_VERSION[ \t]+([0-9]+)" _eigen3_major_version_match "${_eigen3_version_header}")
+  set(EIGEN3_MAJOR_VERSION "${CMAKE_MATCH_1}")
+  string(REGEX MATCH "define[ \t]+EIGEN_MINOR_VERSION[ \t]+([0-9]+)" _eigen3_minor_version_match "${_eigen3_version_header}")
+  set(EIGEN3_MINOR_VERSION "${CMAKE_MATCH_1}")
+
+  set(EIGEN3_VERSION ${EIGEN3_WORLD_VERSION}.${EIGEN3_MAJOR_VERSION}.${EIGEN3_MINOR_VERSION})
+  if(${EIGEN3_VERSION} VERSION_LESS ${Eigen3_FIND_VERSION})
+    set(EIGEN3_VERSION_OK FALSE)
+  else(${EIGEN3_VERSION} VERSION_LESS ${Eigen3_FIND_VERSION})
+    set(EIGEN3_VERSION_OK TRUE)
+  endif(${EIGEN3_VERSION} VERSION_LESS ${Eigen3_FIND_VERSION})
+
+  if(NOT EIGEN3_VERSION_OK)
+
+    message(STATUS "Eigen3 version ${EIGEN3_VERSION} found in ${EIGEN3_INCLUDE_DIR}, "
+                   "but at least version ${Eigen3_FIND_VERSION} is required")
+  endif(NOT EIGEN3_VERSION_OK)
+endmacro(_eigen3_check_version)
+
+if (EIGEN3_INCLUDE_DIR)
+
+  # in cache already
+  _eigen3_check_version()
+  set(EIGEN3_FOUND ${EIGEN3_VERSION_OK})
+
+else (EIGEN3_INCLUDE_DIR)
+
+  # specific additional paths for some OS
+  if (WIN32)
+    set(EIGEN_ADDITIONAL_SEARCH_PATHS ${EIGEN_ADDITIONAL_SEARCH_PATHS} "C:/Program Files/Eigen/include" "C:/Program Files (x86)/Eigen/include")
+  endif(WIN32)
+
+  find_path(EIGEN3_INCLUDE_DIR NAMES signature_of_eigen3_matrix_library
+      PATHS
+      ${CMAKE_INSTALL_PREFIX}/include
+      ${EIGEN_ADDITIONAL_SEARCH_PATHS}
+      ${KDE4_INCLUDE_DIR}
+      PATH_SUFFIXES eigen3 eigen
+    )
+
+  if(EIGEN3_INCLUDE_DIR)
+    _eigen3_check_version()
+  endif(EIGEN3_INCLUDE_DIR)
+
+  include(FindPackageHandleStandardArgs)
+  find_package_handle_standard_args(Eigen3 DEFAULT_MSG EIGEN3_INCLUDE_DIR EIGEN3_VERSION_OK)
+
+  mark_as_advanced(EIGEN3_INCLUDE_DIR)
+
+endif(EIGEN3_INCLUDE_DIR)

cmake/modules/FindGLEW.cmake

@@ -124,8 +124,6 @@ endif()
 
 if("${CMAKE_GENERATOR_PLATFORM}" MATCHES "x64" OR "${CMAKE_GENERATOR}" MATCHES "Win64")
   set(_arch "x64")
-elseif("${CMAKE_GENERATOR_PLATFORM}" MATCHES "ARM64")
-  set(_arch "x64")  # GLEW ships one header set; ARM64 uses the x64 import path
 else()
   set(_arch "Win32")
 endif()

deps/Boost/Boost.cmake

@@ -10,22 +10,7 @@ if (APPLE AND CMAKE_OSX_ARCHITECTURES)
     set(_context_arch_line "-DBOOST_CONTEXT_ARCHITECTURE:STRING=${CMAKE_OSX_ARCHITECTURES}")
 endif ()
 
-# Windows ARM64: Boost.Context's default fcontext implementation assembles .asm
-# via armasm64, which trips a CMake ASM_ARMASM linker-module bug under the VS
-# generator. The winfib implementation (Windows Fiber API) avoids assembly while
-# keeping the Boost::context target that Boost.Asio's stackful coroutines need.
-set(_context_impl_line "")
-if (MSVC AND "${DEPS_ARCH}" STREQUAL "arm64")
-    set(_context_impl_line "-DBOOST_CONTEXT_IMPLEMENTATION:STRING=winfib")
-endif ()
-
-set(_options "")
-if (MSVC AND DEP_DEBUG)
-    set(_options "FORWARD_CONFIG")
-endif ()
-
 orcaslicer_add_cmake_project(Boost
-    ${_options}
     URL "https://github.com/boostorg/boost/releases/download/boost-1.84.0/boost-1.84.0.tar.gz"
     URL_HASH SHA256=4d27e9efed0f6f152dc28db6430b9d3dfb40c0345da7342eaa5a987dde57bd95
     LIST_SEPARATOR |
@@ -33,11 +18,9 @@ orcaslicer_add_cmake_project(Boost
         -DBOOST_EXCLUDE_LIBRARIES:STRING=contract|fiber|numpy|stacktrace|wave|test
         -DBOOST_LOCALE_ENABLE_ICU:BOOL=OFF # do not link to libicu, breaks compatibility between distros
         -DBUILD_TESTING:BOOL=OFF
-        -DBOOST_IOSTREAMS_ENABLE_BZIP2:BOOL=OFF # avoid libbz2 soname differences in AppImage builds
         -DBOOST_IOSTREAMS_ENABLE_ZSTD:BOOL=OFF
         "${_context_abi_line}"
         "${_context_arch_line}"
-        "${_context_impl_line}"
 )
 
 set(DEP_Boost_DEPENDS ZLIB)

deps/CGAL/CGAL.cmake

@@ -9,7 +9,7 @@ orcaslicer_add_cmake_project(
     # For whatever reason, this keeps downloading forever (repeats downloads if finished)
     URL      https://github.com/CGAL/cgal/releases/download/v5.6.3/CGAL-5.6.3.zip
     URL_HASH SHA256=5d577acb4a9918ccb960491482da7a3838f8d363aff47e14d703f19fd84733d4
-    DEPENDS dep_Boost dep_Eigen dep_GMP dep_MPFR
+    DEPENDS dep_Boost dep_GMP dep_MPFR
 )
 
 include(GNUInstallDirs)

deps/CMakeLists.txt

@@ -134,7 +134,7 @@ if (APPLE)
 endif ()
 
 
-# On developer machines, it can be enabled to speed up compilation and suppress warnings coming from IGL.
+# On developer machines, it can be enabled to speed up compilation and suppress warnings coming from IGL. 
 # FIXME:
 # Enabling this option is not safe. IGL will compile itself with its own version of Eigen while
 # Slic3r compiles with a different version which will cause runtime errors.
@@ -146,7 +146,7 @@ message(STATUS "OrcaSlicer deps debug build: ${DEP_DEBUG}")
 
 find_package(Git REQUIRED)
 
-# The default command line for patching. Only works for newer
+# The default command line for patching. Only works for newer 
 set(PATCH_CMD ${GIT_EXECUTABLE} apply --verbose --ignore-space-change --whitespace=fix)
 
 if (NOT _is_multi AND NOT CMAKE_BUILD_TYPE)
@@ -155,37 +155,22 @@ if (NOT _is_multi AND NOT CMAKE_BUILD_TYPE)
 endif ()
 
 function(orcaslicer_add_cmake_project projectname)
-    cmake_parse_arguments(P_ARGS "FORWARD_CONFIG" "INSTALL_DIR;BUILD_COMMAND;INSTALL_COMMAND" "CMAKE_ARGS" ${ARGN})
+    cmake_parse_arguments(P_ARGS "" "INSTALL_DIR;BUILD_COMMAND;INSTALL_COMMAND" "CMAKE_ARGS" ${ARGN})
 
     set(_configs_line -DCMAKE_BUILD_TYPE:STRING=${CMAKE_BUILD_TYPE})
     if (_is_multi OR MSVC)
-        if (P_ARGS_FORWARD_CONFIG)
-            set(_configs_line -DCMAKE_BUILD_TYPE:STRING=${CMAKE_BUILD_TYPE})
-        elseif (ORCA_INCLUDE_DEBUG_INFO AND NOT DEP_DEBUG)
+        if (ORCA_INCLUDE_DEBUG_INFO AND NOT DEP_DEBUG)
             set(_configs_line "-DCMAKE_C_FLAGS_RELEASE:STRING=${CMAKE_C_FLAGS_RELWITHDEBINFO} -DCMAKE_CXX_FLAGS_RELEASE:STRING=${CMAKE_CXX_FLAGS_RELWITHDEBINFO}")
         else ()
             set(_configs_line "")
         endif ()
     endif ()
 
-    if (P_ARGS_FORWARD_CONFIG)
-        set(_target_config "$<CONFIG>")
-    else()
-        set(_target_config "Release")
-    endif()
-
+    set(_gen "")
+    set(_build_j "-j${NPROC}")
     if (MSVC)
-      set(_gen CMAKE_GENERATOR "${DEP_MSVC_GEN}" CMAKE_GENERATOR_PLATFORM "${DEP_PLATFORM}")
-    else()
-      set(_gen "")
-    endif()
-
-    if ($ENV{CMAKE_BUILD_PARALLEL_LEVEL})
-      set(_build_j "")  # assume environment will control --build parallel setting
-    elseif(MSVC)
-      set(_build_j "/m")
-    else()
-      set(_build_j "-j${NPROC}")
+        set(_gen CMAKE_GENERATOR "${DEP_MSVC_GEN}" CMAKE_GENERATOR_PLATFORM "${DEP_PLATFORM}")
+        set(_build_j "/m")
     endif ()
 
 if (NOT IS_CROSS_COMPILE OR NOT APPLE)
@@ -204,8 +189,6 @@ if (NOT IS_CROSS_COMPILE OR NOT APPLE)
             -DCMAKE_DEBUG_POSTFIX:STRING=d
             -DCMAKE_C_COMPILER:STRING=${CMAKE_C_COMPILER}
             -DCMAKE_CXX_COMPILER:STRING=${CMAKE_CXX_COMPILER}
-            -DCMAKE_C_COMPILER_LAUNCHER:STRING=${CMAKE_C_COMPILER_LAUNCHER}
-            -DCMAKE_CXX_COMPILER_LAUNCHER:STRING=${CMAKE_CXX_COMPILER_LAUNCHER}
             -DCMAKE_TOOLCHAIN_FILE:STRING=${CMAKE_TOOLCHAIN_FILE}
             -DCMAKE_EXE_LINKER_FLAGS:STRING=${CMAKE_EXE_LINKER_FLAGS}
             -DCMAKE_SHARED_LINKER_FLAGS:STRING=${CMAKE_SHARED_LINKER_FLAGS}
@@ -216,8 +199,8 @@ if (NOT IS_CROSS_COMPILE OR NOT APPLE)
             ${DEP_CMAKE_OPTS}
             ${P_ARGS_CMAKE_ARGS}
        ${P_ARGS_UNPARSED_ARGUMENTS}
-       BUILD_COMMAND ${CMAKE_COMMAND} --build . --config ${_target_config} -- ${_build_j}
-       INSTALL_COMMAND ${CMAKE_COMMAND} --build . --target install --config ${_target_config}
+       BUILD_COMMAND ${CMAKE_COMMAND} --build . --config Release -- ${_build_j}
+       INSTALL_COMMAND ${CMAKE_COMMAND} --build . --target install --config Release
     )
 
     if (FLATPAK)
@@ -251,16 +234,14 @@ else()
             -DCMAKE_INSTALL_PREFIX:STRING=${DESTDIR}
             -DCMAKE_PREFIX_PATH:STRING=${DESTDIR}
             -DCMAKE_IGNORE_PREFIX_PATH:STRING=${CMAKE_IGNORE_PREFIX_PATH}
-            -DCMAKE_C_COMPILER_LAUNCHER:STRING=${CMAKE_C_COMPILER_LAUNCHER}
-            -DCMAKE_CXX_COMPILER_LAUNCHER:STRING=${CMAKE_CXX_COMPILER_LAUNCHER}
             -DBUILD_SHARED_LIBS:BOOL=OFF
             ${_cmake_osx_arch}
             "${_configs_line}"
             ${DEP_CMAKE_OPTS}
             ${P_ARGS_CMAKE_ARGS}
        ${P_ARGS_UNPARSED_ARGUMENTS}
-       BUILD_COMMAND ${CMAKE_COMMAND} --build . --config ${_target_config} -- ${_build_j}
-       INSTALL_COMMAND ${CMAKE_COMMAND} --build . --target install --config ${_target_config}
+       BUILD_COMMAND ${CMAKE_COMMAND} --build . --config Release -- ${_build_j}
+       INSTALL_COMMAND ${CMAKE_COMMAND} --build . --target install --config Release 
     )
 
 endif()
@@ -277,12 +258,8 @@ if (MSVC)
         message(STATUS "\nDetected X86 compiler => building X86 deps bundle\n")
         set(DEPS_ARCH "x86")
         include("deps-windows.cmake")
-    elseif ("${CMAKE_SYSTEM_PROCESSOR}" STREQUAL "ARM64")
-        message(STATUS "\nDetected ARM64 compiler => building ARM64 deps bundle\n")
-        set(DEPS_ARCH "arm64")
-        include("deps-windows.cmake")
     else ()
-        message(FATAL_ERROR "Unable to detect architecture: ${CMAKE_SYSTEM_PROCESSOR}")
+        message(FATAL_ERROR "Unable to detect architecture")
     endif ()
 elseif (APPLE)
     message("OS X SDK Path: ${CMAKE_OSX_SYSROOT}")
@@ -324,26 +301,26 @@ if(FLATPAK)
 endif()
 
 set(ZLIB_PKG "")
-if (NOT ZLIB_FOUND)
+if (NOT ZLIB_FOUND) 
     include(ZLIB/ZLIB.cmake)
     set(ZLIB_PKG dep_ZLIB)
 endif ()
 set(PNG_PKG "")
-if (NOT PNG_FOUND)
+if (NOT PNG_FOUND) 
     include(PNG/PNG.cmake)
     set(PNG_PKG dep_PNG)
 endif ()
 set(EXPAT_PKG "")
 find_package(EXPAT)
-if (NOT EXPAT_FOUND)
+if (NOT EXPAT_FOUND) 
     include(EXPAT/EXPAT.cmake)
     set(EXPAT_PKG dep_EXPAT)
 endif ()
 
-# The order of includes respects the dependencies between libraries
 set(DEP_Boost_COMPONENTS system iostreams filesystem thread log locale regex date_time)
 include(Boost/Boost.cmake)
 
+# The order of includes respects the dependencies between libraries
 include(Cereal/Cereal.cmake)
 include(Qhull/Qhull.cmake)
 include(GLEW/GLEW.cmake)
@@ -359,7 +336,6 @@ include(OpenVDB/OpenVDB.cmake)
 
 include(GMP/GMP.cmake)
 include(MPFR/MPFR.cmake)
-include(Eigen/Eigen.cmake)
 include(CGAL/CGAL.cmake)
 
 include(NLopt/NLopt.cmake)
@@ -371,7 +347,7 @@ include(Draco/Draco.cmake)
 # I *think* 1.1 is used for *just* md5 hashing?
 # 3.1 has everything in the right place, but the md5 funcs used are deprecated
 # a grep across the repo shows it is used for other things
-# TODO: update openssl and everything that uses <openssl/md5.h>
+# TODO: update openssl and everything that uses <openssl/md5.h> 
 set(OPENSSL_PKG "")
 if(NOT OPENSSL_FOUND)
     include(OpenSSL/OpenSSL.cmake)
@@ -379,7 +355,7 @@ if(NOT OPENSSL_FOUND)
 endif()
 
 # we don't want to load a "wrong" openssl when loading curl
-# so, just don't even bother
+# so, just don't even bother 
 # ...i think this is how it works? change if wrong
 set(CURL_PKG "")
 if (NOT OPENSSL_FOUND OR NOT CURL_FOUND)
@@ -403,7 +379,7 @@ endif()
 set(FREETYPE_PKG "")
 if(NOT FREETYPE_FOUND)
     include(FREETYPE/FREETYPE.cmake)
-    set(FREETYPE_PKG "dep_FREETYPE")
+    set(FREETYPE_PKG "dep_FREETYPE") 
 endif()
 
 execute_process(
@@ -422,7 +398,6 @@ endif ()
 
 include(OCCT/OCCT.cmake)
 include(OpenCV/OpenCV.cmake)
-include(python3/python3.cmake)
 
 set(_dep_list
     dep_Boost
@@ -436,7 +411,6 @@ set(_dep_list
     dep_OpenVDB
     dep_OpenCSG
     dep_OpenCV
-    dep_Eigen
     dep_CGAL
     dep_GLFW
     dep_OCCT
@@ -445,7 +419,6 @@ set(_dep_list
     ${ZLIB_PKG}
     ${EXPAT_PKG}
     dep_libnoise
-    dep_python3
     )
 
 if (MSVC)

deps/Draco/Draco.cmake

@@ -1,10 +1,4 @@
-set(_options "")
-if (MSVC AND DEP_DEBUG)
-    set(_options "FORWARD_CONFIG")
-endif ()
-
 orcaslicer_add_cmake_project(Draco
-    ${_options}
     URL https://github.com/google/draco/archive/refs/tags/1.5.7.zip
     URL_HASH SHA256=27b72ba2d5ff3d0a9814ad40d4cb88f8dc89a35491c0866d952473f8f9416b77
 )

deps/Eigen/Eigen.cmake

@@ -1,11 +0,0 @@
-set(_eigen_extra_flags "")
-if (MSVC)
-    set(_eigen_extra_flags "-DCMAKE_CXX_FLAGS:STRING=/bigobj")
-endif ()
-
-orcaslicer_add_cmake_project(Eigen
-    URL https://gitlab.com/libeigen/eigen/-/archive/5.0.1/eigen-5.0.1.zip
-    URL_HASH SHA256=0dbb1f9e3aaad66f352c03227d8c983f6f0b49e0b07e71a7300f4abcc01aee12
-    CMAKE_ARGS "${_eigen_extra_flags}"
-    DEPENDS dep_Boost dep_GMP dep_MPFR
-)

deps/GLFW/GLFW.cmake

@@ -6,20 +6,22 @@ else()
     set(_build_static ON)
 endif()
 
-set(_glfw_platform_args "")
 if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
-    set(_glfw_platform_args -DGLFW_BUILD_WAYLAND=ON -DGLFW_BUILD_X11=ON)
+    set(_glfw_use_wayland "-DGLFW_USE_WAYLAND=ON")
+else()
+    set(_glfw_use_wayland "-DGLFW_USE_WAYLAND=FF")
 endif()
 
 orcaslicer_add_cmake_project(GLFW
-    URL https://github.com/glfw/glfw/archive/refs/tags/3.4.zip
-    URL_HASH SHA256=a133ddc3d3c66143eba9035621db8e0bcf34dba1ee9514a9e23e96afd39fd57a
+    URL https://github.com/glfw/glfw/archive/refs/tags/3.3.7.zip
+    URL_HASH SHA256=e02d956935e5b9fb4abf90e2c2e07c9a0526d7eacae8ee5353484c69a2a76cd0
+    #DEPENDS dep_Boost
     CMAKE_ARGS
-        -DBUILD_SHARED_LIBS=${_build_shared}
+        -DBUILD_SHARED_LIBS=${_build_shared} 
         -DGLFW_BUILD_DOCS=OFF
         -DGLFW_BUILD_EXAMPLES=OFF
-        -DGLFW_BUILD_TESTS=OFF
-        ${_glfw_platform_args}
+	-DGLFW_BUILD_TESTS=OFF
+	${_glfw_use_wayland}
 )
 
 if (MSVC)

deps/OpenCV/OpenCV.cmake

@@ -1,13 +1,7 @@
-# Intel IPP / IPP-ICV is x86/x64 only — there is no ARM64 build, so enabling it
-# leaves ~200 unresolved ippicv* externals at link time on Windows ARM64.
-if (MSVC AND NOT "${DEPS_ARCH}" STREQUAL "arm64")
+if (MSVC)
     set(_use_IPP "-DWITH_IPP=ON")
-    if (DEP_DEBUG)
-        set(_options "FORWARD_CONFIG")
-    endif ()
 else ()
     set(_use_IPP "-DWITH_IPP=OFF")
-    set(_options "")
 endif ()
 
 if (IN_GIT_REPO)
@@ -15,7 +9,6 @@ if (IN_GIT_REPO)
 endif ()
 
 orcaslicer_add_cmake_project(OpenCV
-    ${_options}
     URL https://github.com/opencv/opencv/archive/refs/tags/4.6.0.tar.gz
     URL_HASH SHA256=1ec1cba65f9f20fe5a41fda1586e01c70ea0c9a6d7b67c9e13edf0cfe2239277
     PATCH_COMMAND git apply ${OpenCV_DIRECTORY_FLAG} --verbose --ignore-space-change --whitespace=fix ${CMAKE_CURRENT_LIST_DIR}/0001-vs.patch  ${CMAKE_CURRENT_LIST_DIR}/0002-clang19-macos.patch
@@ -62,8 +55,6 @@ orcaslicer_add_cmake_project(OpenCV
        -DWITH_VTK=OFF
        -DWITH_JPEG=OFF
        -DWITH_WEBP=OFF
-       -DWITH_TIFF=OFF
-       -DBUILD_TIFF=OFF
        -DENABLE_PRECOMPILED_HEADERS=OFF
        -DINSTALL_TESTS=OFF
        -DINSTALL_C_EXAMPLES=OFF

deps/OpenEXR/OpenEXR.cmake

@@ -32,17 +32,6 @@ else()
 
 if (CMAKE_SYSTEM_NAME STREQUAL "Linux")
     set(_patch_cmd ${PATCH_CMD} ${CMAKE_CURRENT_LIST_DIR}/0001-OpenEXR-GCC13.patch)
-elseif (MSVC AND "${DEPS_ARCH}" STREQUAL "arm64")
-    # Windows ARM64: OpenEXR 2.5.5 hard-codes IMF_HAVE_SSE2 for any MSVC
-    # (ImfSimd.h: `_MSC_VER >= 1300`), pulling in <emmintrin.h> (x86-only) -> C1189.
-    # Patch the header to require an x86 target, and force the SSE cache vars off.
-    set(_patch_cmd ${CMAKE_COMMAND} -P ${CMAKE_CURRENT_LIST_DIR}/patch_openexr_arm64.cmake)
-    set(_openexr_arm64_args
-        -DOPENEXR_IMF_HAVE_SSE2:BOOL=OFF
-        -DOPENEXR_IMF_HAVE_SSSE3:BOOL=OFF
-        -DILMBASE_HAVE_SSE:BOOL=OFF
-        -DILMBASE_FORCE_DISABLE_INTEL_SSE:BOOL=ON
-    )
 else ()
     set(_patch_cmd "")
 endif ()
@@ -60,7 +49,6 @@ orcaslicer_add_cmake_project(OpenEXR
         -DPYILMBASE_ENABLE:BOOL=OFF
         -DOPENEXR_VIEWERS_ENABLE:BOOL=OFF
         -DOPENEXR_BUILD_UTILS:BOOL=OFF
-        ${_openexr_arm64_args}
 )
 endif()
 

deps/OpenEXR/patch_openexr_arm64.cmake

@@ -1,29 +0,0 @@
-# Applied as PATCH_COMMAND for OpenEXR 2.5.5 on Windows ARM64.
-#
-# Root cause of the ARM64 build failure: OpenEXR/IlmImf/ImfSimd.h hard-codes
-#     #if defined __SSE2__ || (_MSC_VER >= 1300 && !_M_CEE_PURE)
-#         #define IMF_HAVE_SSE2 1
-#     #endif
-# The `_MSC_VER >= 1300` arm is true for *every* MSVC, including ARM64, so
-# IMF_HAVE_SSE2 gets defined and <emmintrin.h> (an x86-only header) is pulled
-# in -> error C1189. This is a pure-preprocessor decision, so no CMake cache
-# variable can suppress it. Patch the header to also require an x86 target.
-
-set(_simd "OpenEXR/IlmImf/ImfSimd.h")
-if(EXISTS "${_simd}")
-    file(READ "${_simd}" _content)
-    set(_old "#if defined __SSE2__ || (_MSC_VER >= 1300 && !_M_CEE_PURE)")
-    set(_new "#if (defined __SSE2__ || (_MSC_VER >= 1300 && !_M_CEE_PURE)) && (defined(_M_IX86) || defined(_M_X64) || defined(__i386__) || defined(__x86_64__))")
-    if(_content MATCHES "_M_IX86")
-        message(STATUS "[ARM64 patch] ImfSimd.h already guarded")
-    else()
-        string(REPLACE "${_old}" "${_new}" _patched "${_content}")
-        if(_patched STREQUAL _content)
-            message(FATAL_ERROR "[ARM64 patch] Failed to match SSE2 guard in ${_simd}")
-        endif()
-        file(WRITE "${_simd}" "${_patched}")
-        message(STATUS "[ARM64 patch] Guarded IMF_HAVE_SSE2 with x86 arch check in ${_simd}")
-    endif()
-else()
-    message(FATAL_ERROR "[ARM64 patch] Not found: ${_simd}")
-endif()

deps/OpenSSL/OpenSSL.cmake

@@ -6,11 +6,7 @@ if(DEFINED OPENSSL_ARCH)
     set(_cross_arch ${OPENSSL_ARCH})
 else()
     if(WIN32)
-        if("${CMAKE_GENERATOR_PLATFORM}" STREQUAL "ARM64")
-            set(_cross_arch "VC-WIN64-ARM")
-        else()
-            set(_cross_arch "VC-WIN64A")
-        endif()
+        set(_cross_arch "VC-WIN64A")
     elseif(APPLE)
         set(_cross_arch "darwin64-${CMAKE_OSX_ARCHITECTURES}-cc")
 	endif()

deps/deps-windows.cmake

@@ -36,10 +36,8 @@ if ("${DEPS_ARCH}" STREQUAL "x86")
     set(DEP_PLATFORM "Win32")
 elseif ("${DEPS_ARCH}" STREQUAL "x64")
     set(DEP_PLATFORM "x64")
-elseif ("${DEPS_ARCH}" STREQUAL "arm64")
-    set(DEP_PLATFORM "ARM64")
 else ()
-    message(FATAL_ERROR "Unsupported OS architecture: ${DEPS_ARCH}")
+    message(FATAL_ERROR "Unsupported OS architecture")
 endif ()
 
 if (${DEP_DEBUG})
@@ -66,11 +64,8 @@ if ("${DEPS_ARCH}" STREQUAL "x86")
 elseif ("${DEPS_ARCH}" STREQUAL "x64")
     set(DEP_WXWIDGETS_TARGET "TARGET_CPU=X64")
     set(DEP_WXWIDGETS_LIBDIR "vc_x64_lib")
-elseif ("${DEPS_ARCH}" STREQUAL "arm64")
-    set(DEP_WXWIDGETS_TARGET "TARGET_CPU=ARM64")
-    set(DEP_WXWIDGETS_LIBDIR "vc_arm64_lib")
 else ()
-    message(FATAL_ERROR "Unsupported OS architecture: ${DEPS_ARCH}")
+    message(FATAL_ERROR "Unsupported OS architecture")
 endif ()
 
 find_package(Git REQUIRED)

deps/python3/python3.cmake

@@ -1,238 +0,0 @@
-
-include(ProcessorCount)
-ProcessorCount(NPROC)
-
-set(_python_version "3.12.3")
-string(REGEX REPLACE "^([0-9]+\\.[0-9]+)\\..*" "\\1" _python_version_short "${_python_version}")
-set(_python_url "https://www.python.org/ftp/python/${_python_version}/Python-${_python_version}.tar.xz")
-set(_python_sha256 "56bfef1fdfc1221ce6720e43a661e3eb41785dd914ce99698d8c7896af4bdaa1")
-
-if(WIN32)
-    if(MSVC_VERSION EQUAL 1800)
-        set(_python_platform_toolset v120)
-    elseif(MSVC_VERSION EQUAL 1900)
-        set(_python_platform_toolset v140)
-    elseif(MSVC_VERSION LESS 1920)
-        set(_python_platform_toolset v141)
-    elseif(MSVC_VERSION LESS 1930)
-        set(_python_platform_toolset v142)
-    elseif(MSVC_VERSION LESS 1950)
-        set(_python_platform_toolset v143)
-    elseif(MSVC_VERSION LESS 1960)
-        set(_python_platform_toolset v145)
-    else()
-        message(FATAL_ERROR "Unsupported MSVC version for CPython build: ${MSVC_VERSION}")
-    endif()
-
-    if(CMAKE_SYSTEM_PROCESSOR MATCHES "ARM64|aarch64")
-        set(_python_pcbuild_platform ARM64)
-        set(_python_layout_arch arm64)
-        set(_python_pcbuild_output_dir arm64)
-    elseif(CMAKE_SIZEOF_VOID_P EQUAL 8)
-        set(_python_pcbuild_platform x64)
-        set(_python_layout_arch amd64)
-        set(_python_pcbuild_output_dir amd64)
-    else()
-        set(_python_pcbuild_platform Win32)
-        set(_python_layout_arch win32)
-        set(_python_pcbuild_output_dir win32)
-    endif()
-
-    set(_python_pcbuild_config Release)
-    set(_python_layout_debug OFF)
-    if(DEFINED DEP_DEBUG AND DEP_DEBUG)
-        set(_python_pcbuild_config Debug)
-        set(_python_layout_debug ON)
-    endif()
-
-    set(_conf_cmd
-        cmd /c "echo /p:PlatformToolset=${_python_platform_toolset}>PCbuild\\msbuild.rsp"
-    )
-    set(_build_cmd
-        ${CMAKE_COMMAND} -E env "GIT_CEILING_DIRECTORIES=<SOURCE_DIR>/.."
-        cmd /c PCbuild\\build.bat
-            -p ${_python_pcbuild_platform}
-            -c ${_python_pcbuild_config}
-            --no-tkinter
-    )
-    set(_install_cmd
-        ${CMAKE_COMMAND}
-            -DPYTHON_SOURCE_DIR=<SOURCE_DIR>
-            -DPYTHON_BUILD_DIR=<SOURCE_DIR>/PCbuild/${_python_pcbuild_output_dir}
-            -DPYTHON_DEST_DIR=${DESTDIR}/libpython
-            -DPYTHON_LAYOUT_ARCH=${_python_layout_arch}
-            -DPYTHON_DEBUG=${_python_layout_debug}
-            -P ${CMAKE_CURRENT_LIST_DIR}/stage_windows.cmake
-    )
-elseif(APPLE)
-    # macOS configuration
-    if(CMAKE_OSX_ARCHITECTURES)
-        set(_python_target_arch "${CMAKE_OSX_ARCHITECTURES}")
-    else()
-        set(_python_target_arch "${CMAKE_SYSTEM_PROCESSOR}")
-    endif()
-
-    if(CMAKE_SYSTEM_PROCESSOR MATCHES "ARM64|arm64|aarch64")
-        set(_python_build_arch aarch64)
-        set(_python_build_arch_flag "arm64")
-    elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "x86_64|AMD64|amd64")
-        set(_python_build_arch x86_64)
-        set(_python_build_arch_flag "x86_64")
-    else()
-        set(_python_build_arch "${CMAKE_SYSTEM_PROCESSOR}")
-        set(_python_build_arch_flag "${CMAKE_SYSTEM_PROCESSOR}")
-    endif()
-
-    if(_python_target_arch MATCHES "ARM64|arm64|aarch64")
-        set(_python_host_arch aarch64)
-        set(_python_arch_flag "arm64")
-    elseif(_python_target_arch MATCHES "x86_64|AMD64|amd64")
-        set(_python_host_arch x86_64)
-        set(_python_arch_flag "x86_64")
-    else()
-        message(FATAL_ERROR "Unsupported macOS Python target architecture: ${_python_target_arch}")
-    endif()
-
-    set(_python_arch_flags "-arch ${_python_arch_flag} -mmacosx-version-min=${CMAKE_OSX_DEPLOYMENT_TARGET}")
-    # No -rpath: all other deps are static, so libpython has no shared
-    # dependencies to find there. headerpad reserves load-command space for
-    # the post-install -add_rpath below.
-    set(_python_ldflags "${_python_arch_flags} -Wl,-headerpad_max_install_names")
-
-    if(IS_CROSS_COMPILE)
-        set(_python_build_tgt --build=${_python_build_arch}-apple-darwin --host=${_python_host_arch}-apple-darwin)
-        set(_python_build_arch_flags "-arch ${_python_build_arch_flag} -mmacosx-version-min=${CMAKE_OSX_DEPLOYMENT_TARGET}")
-        set(_python_build_ldflags "${_python_build_arch_flags} -Wl,-rpath,${DESTDIR}/lib")
-        set(_python_build_python_dir "<SOURCE_DIR>/build-python-host")
-        set(_python_build_python "${_python_build_python_dir}/python")
-        set(_conf_cmd
-            /bin/sh -c
-            "rm -rf '${_python_build_python_dir}' && \
-             mkdir -p '${_python_build_python_dir}' && \
-             cd '${_python_build_python_dir}' && \
-             env \
-               CC='${CMAKE_C_COMPILER}' \
-               CXX='${CMAKE_CXX_COMPILER}' \
-               CFLAGS='${_python_build_arch_flags}' \
-               CXXFLAGS='${_python_build_arch_flags}' \
-               LDFLAGS='${_python_build_ldflags}' \
-               MACOSX_DEPLOYMENT_TARGET='${CMAKE_OSX_DEPLOYMENT_TARGET}' \
-               ../configure \
-                 --prefix='${_python_build_python_dir}/install' \
-                 --enable-shared \
-                 --without-static-libpython \
-                 --disable-test-modules \
-                 --build=${_python_build_arch}-apple-darwin && \
-             make -j${NPROC} python && \
-             cd '<SOURCE_DIR>' && \
-             env \
-               CC='${CMAKE_C_COMPILER}' \
-               CXX='${CMAKE_CXX_COMPILER}' \
-               CFLAGS='${_python_arch_flags}' \
-               CXXFLAGS='${_python_arch_flags}' \
-               LDFLAGS='${_python_ldflags}' \
-               MACOSX_DEPLOYMENT_TARGET='${CMAKE_OSX_DEPLOYMENT_TARGET}' \
-               ./configure \
-                 --prefix='${DESTDIR}/libpython' \
-                 --enable-shared \
-                 --enable-optimizations \
-                 --without-static-libpython \
-                 --with-openssl='${DESTDIR}' \
-                 --disable-test-modules \
-                 ${_python_build_tgt} \
-                 --with-build-python='${_python_build_python}' \
-                 py_cv_module__tkinter=n/a"
-        )
-    else()
-        set(_python_build_tgt --build=${_python_host_arch}-apple-darwin)
-        set(_conf_cmd
-            env
-            "CC=${CMAKE_C_COMPILER}"
-            "CXX=${CMAKE_CXX_COMPILER}"
-            "CFLAGS=${_python_arch_flags}"
-            "CXXFLAGS=${_python_arch_flags}"
-            "LDFLAGS=${_python_ldflags}"
-            "MACOSX_DEPLOYMENT_TARGET=${CMAKE_OSX_DEPLOYMENT_TARGET}"
-            ./configure
-            --prefix=${DESTDIR}/libpython
-            --enable-shared
-            --enable-optimizations
-            --without-static-libpython
-            --with-openssl=${DESTDIR}
-            --disable-test-modules
-            ${_python_build_tgt}
-            # Tcl/Tk 9.0 (e.g. from Homebrew) is incompatible with CPython 3.12's
-            # _tkinter; OrcaSlicer's embedded Python does not need tkinter anyway.
-            py_cv_module__tkinter=n/a
-        )
-    endif()
-    set(_build_cmd make -j${NPROC})
-
-    # CPython stamps libpython with an absolute install name ($prefix/lib/...),
-    # which every consumer inherits at link time and which only exists on the
-    # build host. Normalize once here, before anything links against the dep:
-    # give the dylib an @rpath id and teach the interpreter to find it relative
-    # to itself. Consumers then just need an rpath entry (src/CMakeLists.txt).
-    # install_name_tool invalidates code signatures, so re-sign ad-hoc; CI
-    # re-signs the whole bundle with the real identity later.
-    # ld collapses '//' in -install_name (but not in -rpath) strings, while
-    # ${DESTDIR} ends with a slash -- collapse slashes so -change matches the
-    # recorded install name.
-    string(REGEX REPLACE "/+" "/" _python_prefix "${DESTDIR}/libpython")
-    set(_python_dylib "${_python_prefix}/lib/libpython${_python_version_short}.dylib")
-    set(_python_bin "${_python_prefix}/bin/python${_python_version_short}")
-    set(_install_cmd make install
-        COMMAND install_name_tool -id "@rpath/libpython${_python_version_short}.dylib" "${_python_dylib}"
-        COMMAND install_name_tool -change "${_python_dylib}" "@rpath/libpython${_python_version_short}.dylib" "${_python_bin}"
-        COMMAND install_name_tool -add_rpath "@loader_path/../lib" "${_python_bin}"
-        COMMAND codesign --force --sign - "${_python_dylib}"
-        COMMAND codesign --force --sign - "${_python_bin}"
-    )
-else()
-    # Linux/Unix
-    # Kept verbatim, no slash normalization (unlike the macOS branch's
-    # collapsed copy): the LDFLAGS rpath below is recorded byte-for-byte in
-    # the ELF, and the OLD_RPATH handed to relocate_linux.cmake must match it
-    # exactly -- both derive from this one variable to make that structural.
-    set(_python_prefix "${DESTDIR}/libpython")
-    # The rpath points at libpython's real install dir, so the interpreter runs
-    # in-tree pre-relocation -- and, critically, it reserves enough RUNPATH
-    # bytes for the in-place $ORIGIN rewrite at install time (Flatpak's
-    # DESTDIR is the short /app) -- see relocate_linux.cmake.
-    set(_conf_cmd ./configure
-        --prefix=${_python_prefix}
-        --enable-shared
-        --enable-optimizations
-        --with-openssl=${DESTDIR}
-        --without-static-libpython
-        --disable-test-modules
-        # Tcl/Tk 9.0 is incompatible with CPython 3.12's _tkinter; not needed here.
-        py_cv_module__tkinter=n/a
-        LDFLAGS=-Wl,-rpath,${_python_prefix}/lib
-    )
-    set(_build_cmd make -j${NPROC})
-    set(_install_cmd make install
-        COMMAND ${CMAKE_COMMAND}
-            "-DPYTHON_BIN=${_python_prefix}/bin/python${_python_version_short}"
-            "-DOLD_RPATH=${_python_prefix}/lib"
-            -P "${CMAKE_CURRENT_LIST_DIR}/relocate_linux.cmake"
-    )
-endif()
-
-ExternalProject_Add(dep_python3
-    URL "${_python_url}"
-    URL_HASH SHA256=${_python_sha256}
-    DOWNLOAD_DIR ${DEP_DOWNLOAD_DIR}/python3
-    BUILD_IN_SOURCE ON
-    CONFIGURE_COMMAND ${_conf_cmd}
-    BUILD_COMMAND ${_build_cmd}
-    INSTALL_COMMAND ${_install_cmd}
-)
-
-# Python depends on OpenSSL and ZLIB
-if(TARGET dep_OpenSSL)
-    add_dependencies(dep_python3 dep_OpenSSL)
-endif()
-if(TARGET dep_ZLIB)
-    add_dependencies(dep_python3 dep_ZLIB)
-endif()

deps/python3/relocate_linux.cmake

@@ -1,10 +0,0 @@
-# Repoint the installed interpreter's RUNPATH from the absolute deps dir to a
-# self-relative entry so the bundled runtime is relocatable (the deps tree,
-# Flatpak /app/libpython, and AppImage $APPDIR/lib/python all keep bin/ and
-# lib/ as siblings). $ORIGIN is expanded by the dynamic loader; CMake leaves
-# it alone (only ${...} is expanded here). RPATH_CHANGE edits the ELF in
-# place, so the new entry must not be longer than the old one: the reserved
-# ${DESTDIR}/libpython/lib is at least 18 bytes even for the shortest
-# supported DESTDIR (Flatpak's /app), longer than the 14-byte $ORIGIN/../lib.
-# Invoked from python3.cmake with -DPYTHON_BIN=... -DOLD_RPATH=...
-file(RPATH_CHANGE FILE "${PYTHON_BIN}" OLD_RPATH "${OLD_RPATH}" NEW_RPATH "$ORIGIN/../lib")

deps/python3/stage_windows.cmake

@@ -1,72 +0,0 @@
-cmake_minimum_required(VERSION 3.13)
-
-set(_python_abi "312")
-
-foreach(_var PYTHON_SOURCE_DIR PYTHON_BUILD_DIR PYTHON_DEST_DIR PYTHON_LAYOUT_ARCH)
-    if(NOT DEFINED ${_var} OR "${${_var}}" STREQUAL "")
-        message(FATAL_ERROR "${_var} is required")
-    endif()
-endforeach()
-
-set(_python_exe "${PYTHON_BUILD_DIR}/python.exe")
-if(PYTHON_DEBUG)
-    set(_python_exe "${PYTHON_BUILD_DIR}/python_d.exe")
-endif()
-
-if(NOT EXISTS "${_python_exe}")
-    message(FATAL_ERROR "Built Python executable not found: ${_python_exe}")
-endif()
-
-file(REMOVE_RECURSE "${PYTHON_DEST_DIR}")
-file(MAKE_DIRECTORY "${PYTHON_DEST_DIR}")
-
-# CPython's Windows layout helper reads LICENSE.txt from the build output.
-# Source archives ship this file as LICENSE, so provide the expected name.
-if(EXISTS "${PYTHON_SOURCE_DIR}/LICENSE" AND NOT EXISTS "${PYTHON_BUILD_DIR}/LICENSE.txt")
-    configure_file("${PYTHON_SOURCE_DIR}/LICENSE" "${PYTHON_BUILD_DIR}/LICENSE.txt" COPYONLY)
-endif()
-
-execute_process(
-    COMMAND
-        "${CMAKE_COMMAND}" -E env
-            "PYTHONHOME="
-            "PYTHONPATH=${PYTHON_SOURCE_DIR}/Lib"
-            "${_python_exe}"
-            "${PYTHON_SOURCE_DIR}/PC/layout"
-            --source "${PYTHON_SOURCE_DIR}"
-            --build "${PYTHON_BUILD_DIR}"
-            --arch "${PYTHON_LAYOUT_ARCH}"
-            --copy "${PYTHON_DEST_DIR}"
-            --include-dev
-    WORKING_DIRECTORY "${PYTHON_SOURCE_DIR}"
-    RESULT_VARIABLE _layout_result
-)
-
-if(NOT _layout_result EQUAL 0)
-    message(FATAL_ERROR "CPython Windows layout staging failed with exit code ${_layout_result}")
-endif()
-
-set(_required_files
-    "${PYTHON_DEST_DIR}/Lib/encodings/__init__.py"
-    "${PYTHON_DEST_DIR}/include/Python.h"
-)
-
-if(PYTHON_DEBUG)
-    list(APPEND _required_files
-        "${PYTHON_DEST_DIR}/python_d.exe"
-        "${PYTHON_DEST_DIR}/python${_python_abi}_d.dll"
-        "${PYTHON_DEST_DIR}/libs/python${_python_abi}_d.lib"
-    )
-else()
-    list(APPEND _required_files
-        "${PYTHON_DEST_DIR}/python.exe"
-        "${PYTHON_DEST_DIR}/python${_python_abi}.dll"
-        "${PYTHON_DEST_DIR}/libs/python${_python_abi}.lib"
-    )
-endif()
-
-foreach(_required_file IN LISTS _required_files)
-    if(NOT EXISTS "${_required_file}")
-        message(FATAL_ERROR "Staged Python file missing: ${_required_file}")
-    endif()
-endforeach()

deps/wxWidgets/wxWidgets.cmake

@@ -21,13 +21,21 @@ else ()
     set(_wx_edge "-DwxUSE_WEBVIEW_EDGE=OFF")
 endif ()
 
+set(_wx_opengl_override "")
+if(APPLE AND CMAKE_VERSION VERSION_GREATER_EQUAL "4.0")
+    set(_wx_opengl_override
+        -DOPENGL_gl_LIBRARY="-framework OpenGL"
+        -DOPENGL_glu_LIBRARY="-framework OpenGL"
+    )
+endif()
+
 orcaslicer_add_cmake_project(
     wxWidgets
     GIT_REPOSITORY "https://github.com/SoftFever/Orca-deps-wxWidgets"
-    GIT_TAG v3.3.2
     GIT_SHALLOW ON
     DEPENDS ${PNG_PKG} ${ZLIB_PKG} ${EXPAT_PKG} ${JPEG_PKG}
     CMAKE_ARGS
+        ${_wx_opengl_override}
         -DwxBUILD_PRECOMP=ON
         ${_wx_toolkit}
         "-DCMAKE_DEBUG_POSTFIX:STRING=${_wx_debug_postfix}"
@@ -36,9 +44,10 @@ orcaslicer_add_cmake_project(
         ${_wx_shared}
         -DwxUSE_MEDIACTRL=ON
         -DwxUSE_DETECT_SM=OFF
+        -DwxUSE_UNICODE=ON
         -DwxUSE_PRIVATE_FONTS=ON
         -DwxUSE_OPENGL=ON
-        -DwxUSE_GLCANVAS_EGL=ON
+        -DwxUSE_GLCANVAS_EGL=OFF
         -DwxUSE_WEBREQUEST=ON
         -DwxUSE_WEBVIEW=ON
         ${_wx_edge}
@@ -52,31 +61,7 @@ orcaslicer_add_cmake_project(
         -DwxUSE_ZLIB=sys
         -DwxUSE_LIBJPEG=sys
         -DwxUSE_LIBTIFF=OFF
-        -DwxUSE_LIBWEBP=builtin
         -DwxUSE_EXPAT=sys
-        -DwxUSE_NANOSVG=OFF
-)
-
-# wxWidgets 3.3 cmake install doesn't include private headers.
-# OrcaSlicer uses some of the private headers (for accessibility support).
-# Copy the private headers directory after install.
-if(MSVC)
-    set(_wx_inc_dest ${DESTDIR}/include/wx)
-else()
-    set(_wx_inc_dest ${DESTDIR}/include/wx-3.3/wx)
-endif()
-ExternalProject_Add_Step(dep_wxWidgets copy_private_headers
-    DEPENDEES install
-    COMMENT "Copying wxWidgets private headers"
-    COMMAND ${CMAKE_COMMAND} -E copy_directory
-        <SOURCE_DIR>/include/wx/private
-        ${_wx_inc_dest}/private
-    COMMAND ${CMAKE_COMMAND} -E copy_directory
-        <SOURCE_DIR>/include/wx/generic/private
-        ${_wx_inc_dest}/generic/private
-    COMMAND ${CMAKE_COMMAND} -E copy_directory
-        <SOURCE_DIR>/include/wx/gtk/private
-        ${_wx_inc_dest}/gtk/private
 )
 
 if (MSVC)

deps_src/CMakeLists.txt

@@ -27,9 +27,11 @@ add_subdirectory(libigl)
 add_subdirectory(libnest2d)
 add_subdirectory(mcut)
 add_subdirectory(md4c)
-add_subdirectory(mdns)
 add_subdirectory(miniz)
 add_subdirectory(minilzo)
 add_subdirectory(qhull)
 add_subdirectory(qoi)
 add_subdirectory(semver)      # Semver static library
+
+# Eigen header-only library
+add_subdirectory(eigen)

deps_src/admesh/CMakeLists.txt

@@ -18,6 +18,6 @@ target_include_directories(admesh SYSTEM
 )
 
 target_link_libraries(admesh 
-    PUBLIC Eigen3::Eigen
     PRIVATE boost_headeronly
+    PUBLIC eigen
 )

deps_src/clipper/CMakeLists.txt

@@ -15,6 +15,6 @@ target_include_directories(clipper SYSTEM
 )
 
 target_link_libraries(clipper 
-    PUBLIC Eigen3::Eigen
+    PUBLIC eigen
     PRIVATE TBB::tbb TBB::tbbmalloc
 )

deps_src/eigen/CMakeLists.txt

@@ -0,0 +1,12 @@
+cmake_minimum_required(VERSION 3.13)
+project(eigen)
+
+add_library(eigen INTERFACE)
+
+target_include_directories(eigen SYSTEM
+    INTERFACE
+        ${CMAKE_CURRENT_SOURCE_DIR}
+)
+
+# Eigen is header-only, so we only need to specify the include directory
+# The headers are in the Eigen/ subdirectory structure

deps_src/eigen/COPYING.README

@@ -0,0 +1,18 @@
+Eigen is primarily MPL2 licensed. See COPYING.MPL2 and these links:
+  http://www.mozilla.org/MPL/2.0/
+  http://www.mozilla.org/MPL/2.0/FAQ.html
+
+Some files contain third-party code under BSD or LGPL licenses, whence the other
+COPYING.* files here.
+
+All the LGPL code is either LGPL 2.1-only, or LGPL 2.1-or-later.
+For this reason, the COPYING.LGPL file contains the LGPL 2.1 text.
+
+If you want to guarantee that the Eigen code that you are #including is licensed
+under the MPL2 and possibly more permissive licenses (like BSD), #define this
+preprocessor symbol:
+  EIGEN_MPL2_ONLY
+For example, with most compilers, you could add this to your project CXXFLAGS:
+  -DEIGEN_MPL2_ONLY
+This will cause a compilation error to be generated if you #include any code that is
+LGPL licensed.

deps_src/eigen/Eigen/CMakeLists.txt

@@ -0,0 +1,19 @@
+include(RegexUtils)
+test_escape_string_as_regex()
+
+file(GLOB Eigen_directory_files "*")
+
+escape_string_as_regex(ESCAPED_CMAKE_CURRENT_SOURCE_DIR "${CMAKE_CURRENT_SOURCE_DIR}")
+
+foreach(f ${Eigen_directory_files})
+  if(NOT f MATCHES "\\.txt" AND NOT f MATCHES "${ESCAPED_CMAKE_CURRENT_SOURCE_DIR}/[.].+" AND NOT f MATCHES "${ESCAPED_CMAKE_CURRENT_SOURCE_DIR}/src")
+    list(APPEND Eigen_directory_files_to_install ${f})
+  endif()
+endforeach(f ${Eigen_directory_files})
+
+install(FILES
+  ${Eigen_directory_files_to_install}
+  DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen COMPONENT Devel
+  )
+
+install(DIRECTORY src DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen COMPONENT Devel FILES_MATCHING PATTERN "*.h")

deps_src/eigen/Eigen/Cholesky

@@ -0,0 +1,46 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CHOLESKY_MODULE_H
+#define EIGEN_CHOLESKY_MODULE_H
+
+#include "Core"
+#include "Jacobi"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+/** \defgroup Cholesky_Module Cholesky module
+  *
+  *
+  *
+  * This module provides two variants of the Cholesky decomposition for selfadjoint (hermitian) matrices.
+  * Those decompositions are also accessible via the following methods:
+  *  - MatrixBase::llt()
+  *  - MatrixBase::ldlt()
+  *  - SelfAdjointView::llt()
+  *  - SelfAdjointView::ldlt()
+  *
+  * \code
+  * #include <Eigen/Cholesky>
+  * \endcode
+  */
+
+#include "src/Cholesky/LLT.h"
+#include "src/Cholesky/LDLT.h"
+#ifdef EIGEN_USE_LAPACKE
+#ifdef EIGEN_USE_MKL
+#include "mkl_lapacke.h"
+#else
+#include "src/misc/lapacke.h"
+#endif
+#include "src/Cholesky/LLT_LAPACKE.h"
+#endif
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_CHOLESKY_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */

deps_src/eigen/Eigen/CholmodSupport

@@ -0,0 +1,48 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CHOLMODSUPPORT_MODULE_H
+#define EIGEN_CHOLMODSUPPORT_MODULE_H
+
+#include "SparseCore"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+extern "C" {
+  #include <cholmod.h>
+}
+
+/** \ingroup Support_modules
+  * \defgroup CholmodSupport_Module CholmodSupport module
+  *
+  * This module provides an interface to the Cholmod library which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
+  * It provides the two following main factorization classes:
+  * - class CholmodSupernodalLLT: a supernodal LLT Cholesky factorization.
+  * - class CholmodDecomposiiton: a general L(D)LT Cholesky factorization with automatic or explicit runtime selection of the underlying factorization method (supernodal or simplicial).
+  *
+  * For the sake of completeness, this module also propose the two following classes:
+  * - class CholmodSimplicialLLT
+  * - class CholmodSimplicialLDLT
+  * Note that these classes does not bring any particular advantage compared to the built-in
+  * SimplicialLLT and SimplicialLDLT factorization classes.
+  *
+  * \code
+  * #include <Eigen/CholmodSupport>
+  * \endcode
+  *
+  * In order to use this module, the cholmod headers must be accessible from the include paths, and your binary must be linked to the cholmod library and its dependencies.
+  * The dependencies depend on how cholmod has been compiled.
+  * For a cmake based project, you can use our FindCholmod.cmake module to help you in this task.
+  *
+  */
+
+#include "src/CholmodSupport/CholmodSupport.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_CHOLMODSUPPORT_MODULE_H
+

deps_src/eigen/Eigen/Core

@@ -0,0 +1,537 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2007-2011 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CORE_H
+#define EIGEN_CORE_H
+
+// first thing Eigen does: stop the compiler from committing suicide
+#include "src/Core/util/DisableStupidWarnings.h"
+
+#if defined(__CUDACC__) && !defined(EIGEN_NO_CUDA)
+  #define EIGEN_CUDACC __CUDACC__
+#endif
+
+#if defined(__CUDA_ARCH__) && !defined(EIGEN_NO_CUDA)
+  #define EIGEN_CUDA_ARCH __CUDA_ARCH__
+#endif
+
+#if defined(__CUDACC_VER_MAJOR__) && (__CUDACC_VER_MAJOR__ >= 9)
+#define EIGEN_CUDACC_VER  ((__CUDACC_VER_MAJOR__ * 10000) + (__CUDACC_VER_MINOR__ * 100))
+#elif defined(__CUDACC_VER__)
+#define EIGEN_CUDACC_VER __CUDACC_VER__
+#else
+#define EIGEN_CUDACC_VER 0
+#endif
+
+// Handle NVCC/CUDA/SYCL
+#if defined(__CUDACC__) || defined(__SYCL_DEVICE_ONLY__)
+  // Do not try asserts on CUDA and SYCL!
+  #ifndef EIGEN_NO_DEBUG
+  #define EIGEN_NO_DEBUG
+  #endif
+
+  #ifdef EIGEN_INTERNAL_DEBUGGING
+  #undef EIGEN_INTERNAL_DEBUGGING
+  #endif
+
+  #ifdef EIGEN_EXCEPTIONS
+  #undef EIGEN_EXCEPTIONS
+  #endif
+
+  // All functions callable from CUDA code must be qualified with __device__
+  #ifdef __CUDACC__
+    // Do not try to vectorize on CUDA and SYCL!
+    #ifndef EIGEN_DONT_VECTORIZE
+    #define EIGEN_DONT_VECTORIZE
+    #endif
+
+    #define EIGEN_DEVICE_FUNC __host__ __device__
+    // We need cuda_runtime.h to ensure that that EIGEN_USING_STD_MATH macro
+    // works properly on the device side
+    #include <cuda_runtime.h>
+  #else
+    #define EIGEN_DEVICE_FUNC
+  #endif
+
+#else
+  #define EIGEN_DEVICE_FUNC
+
+#endif
+
+// When compiling CUDA device code with NVCC, pull in math functions from the
+// global namespace.  In host mode, and when device doee with clang, use the
+// std versions.
+#if defined(__CUDA_ARCH__) && defined(__NVCC__)
+  #define EIGEN_USING_STD_MATH(FUNC) using ::FUNC;
+#else
+  #define EIGEN_USING_STD_MATH(FUNC) using std::FUNC;
+#endif
+
+#if (defined(_CPPUNWIND) || defined(__EXCEPTIONS)) && !defined(__CUDA_ARCH__) && !defined(EIGEN_EXCEPTIONS) && !defined(EIGEN_USE_SYCL)
+  #define EIGEN_EXCEPTIONS
+#endif
+
+#ifdef EIGEN_EXCEPTIONS
+  #include <new>
+#endif
+
+// then include this file where all our macros are defined. It's really important to do it first because
+// it's where we do all the alignment settings (platform detection and honoring the user's will if he
+// defined e.g. EIGEN_DONT_ALIGN) so it needs to be done before we do anything with vectorization.
+#include "src/Core/util/Macros.h"
+
+// Disable the ipa-cp-clone optimization flag with MinGW 6.x or newer (enabled by default with -O3)
+// See http://eigen.tuxfamily.org/bz/show_bug.cgi?id=556 for details.
+#if EIGEN_COMP_MINGW && EIGEN_GNUC_AT_LEAST(4,6)
+  #pragma GCC optimize ("-fno-ipa-cp-clone")
+#endif
+
+#include <complex>
+
+// this include file manages BLAS and MKL related macros
+// and inclusion of their respective header files
+#include "src/Core/util/MKL_support.h"
+
+// if alignment is disabled, then disable vectorization. Note: EIGEN_MAX_ALIGN_BYTES is the proper check, it takes into
+// account both the user's will (EIGEN_MAX_ALIGN_BYTES,EIGEN_DONT_ALIGN) and our own platform checks
+#if EIGEN_MAX_ALIGN_BYTES==0
+  #ifndef EIGEN_DONT_VECTORIZE
+    #define EIGEN_DONT_VECTORIZE
+  #endif
+#endif
+
+#if EIGEN_COMP_MSVC
+  #include <malloc.h> // for _aligned_malloc -- need it regardless of whether vectorization is enabled
+  #if (EIGEN_COMP_MSVC >= 1500) // 2008 or later
+    // Remember that usage of defined() in a #define is undefined by the standard.
+    // a user reported that in 64-bit mode, MSVC doesn't care to define _M_IX86_FP.
+    #if (defined(_M_IX86_FP) && (_M_IX86_FP >= 2)) || EIGEN_ARCH_x86_64
+      #define EIGEN_SSE2_ON_MSVC_2008_OR_LATER
+    #endif
+  #endif
+#else
+  // Remember that usage of defined() in a #define is undefined by the standard
+  #if (defined __SSE2__) && ( (!EIGEN_COMP_GNUC) || EIGEN_COMP_ICC || EIGEN_GNUC_AT_LEAST(4,2) )
+    #define EIGEN_SSE2_ON_NON_MSVC_BUT_NOT_OLD_GCC
+  #endif
+#endif
+
+#ifndef EIGEN_DONT_VECTORIZE
+
+  #if defined (EIGEN_SSE2_ON_NON_MSVC_BUT_NOT_OLD_GCC) || defined(EIGEN_SSE2_ON_MSVC_2008_OR_LATER)
+
+    // Defines symbols for compile-time detection of which instructions are
+    // used.
+    // EIGEN_VECTORIZE_YY is defined if and only if the instruction set YY is used
+    #define EIGEN_VECTORIZE
+    #define EIGEN_VECTORIZE_SSE
+    #define EIGEN_VECTORIZE_SSE2
+
+    // Detect sse3/ssse3/sse4:
+    // gcc and icc defines __SSE3__, ...
+    // there is no way to know about this on msvc. You can define EIGEN_VECTORIZE_SSE* if you
+    // want to force the use of those instructions with msvc.
+    #ifdef __SSE3__
+      #define EIGEN_VECTORIZE_SSE3
+    #endif
+    #ifdef __SSSE3__
+      #define EIGEN_VECTORIZE_SSSE3
+    #endif
+    #ifdef __SSE4_1__
+      #define EIGEN_VECTORIZE_SSE4_1
+    #endif
+    #ifdef __SSE4_2__
+      #define EIGEN_VECTORIZE_SSE4_2
+    #endif
+    #ifdef __AVX__
+      #define EIGEN_VECTORIZE_AVX
+      #define EIGEN_VECTORIZE_SSE3
+      #define EIGEN_VECTORIZE_SSSE3
+      #define EIGEN_VECTORIZE_SSE4_1
+      #define EIGEN_VECTORIZE_SSE4_2
+    #endif
+    #ifdef __AVX2__
+      #define EIGEN_VECTORIZE_AVX2
+    #endif
+    #ifdef __FMA__
+      #define EIGEN_VECTORIZE_FMA
+    #endif
+    #if defined(__AVX512F__) && defined(EIGEN_ENABLE_AVX512)
+      #define EIGEN_VECTORIZE_AVX512
+      #define EIGEN_VECTORIZE_AVX2
+      #define EIGEN_VECTORIZE_AVX
+      #define EIGEN_VECTORIZE_FMA
+      #ifdef __AVX512DQ__
+        #define EIGEN_VECTORIZE_AVX512DQ
+      #endif
+      #ifdef __AVX512ER__
+        #define EIGEN_VECTORIZE_AVX512ER
+      #endif
+    #endif
+
+    // include files
+
+    // This extern "C" works around a MINGW-w64 compilation issue
+    // https://sourceforge.net/tracker/index.php?func=detail&aid=3018394&group_id=202880&atid=983354
+    // In essence, intrin.h is included by windows.h and also declares intrinsics (just as emmintrin.h etc. below do).
+    // However, intrin.h uses an extern "C" declaration, and g++ thus complains of duplicate declarations
+    // with conflicting linkage.  The linkage for intrinsics doesn't matter, but at that stage the compiler doesn't know;
+    // so, to avoid compile errors when windows.h is included after Eigen/Core, ensure intrinsics are extern "C" here too.
+    // notice that since these are C headers, the extern "C" is theoretically needed anyways.
+    extern "C" {
+      // In theory we should only include immintrin.h and not the other *mmintrin.h header files directly.
+      // Doing so triggers some issues with ICC. However old gcc versions seems to not have this file, thus:
+      #if EIGEN_COMP_ICC >= 1110
+        #include <immintrin.h>
+      #else
+        #include <mmintrin.h>
+        #include <emmintrin.h>
+        #include <xmmintrin.h>
+        #ifdef  EIGEN_VECTORIZE_SSE3
+        #include <pmmintrin.h>
+        #endif
+        #ifdef EIGEN_VECTORIZE_SSSE3
+        #include <tmmintrin.h>
+        #endif
+        #ifdef EIGEN_VECTORIZE_SSE4_1
+        #include <smmintrin.h>
+        #endif
+        #ifdef EIGEN_VECTORIZE_SSE4_2
+        #include <nmmintrin.h>
+        #endif
+        #if defined(EIGEN_VECTORIZE_AVX) || defined(EIGEN_VECTORIZE_AVX512)
+        #include <immintrin.h>
+        #endif
+      #endif
+    } // end extern "C"
+  #elif defined __VSX__
+    #define EIGEN_VECTORIZE
+    #define EIGEN_VECTORIZE_VSX
+    #include <altivec.h>
+    // We need to #undef all these ugly tokens defined in <altivec.h>
+    // => use __vector instead of vector
+    #undef bool
+    #undef vector
+    #undef pixel
+  #elif defined __ALTIVEC__
+    #define EIGEN_VECTORIZE
+    #define EIGEN_VECTORIZE_ALTIVEC
+    #include <altivec.h>
+    // We need to #undef all these ugly tokens defined in <altivec.h>
+    // => use __vector instead of vector
+    #undef bool
+    #undef vector
+    #undef pixel
+  #elif (defined  __ARM_NEON) || (defined __ARM_NEON__)
+    #define EIGEN_VECTORIZE
+    #define EIGEN_VECTORIZE_NEON
+    #include <arm_neon.h>
+  #elif (defined __s390x__ && defined __VEC__)
+    #define EIGEN_VECTORIZE
+    #define EIGEN_VECTORIZE_ZVECTOR
+    #include <vecintrin.h>
+  #endif
+#endif
+
+#if defined(__F16C__) && !defined(EIGEN_COMP_CLANG)
+  // We can use the optimized fp16 to float and float to fp16 conversion routines
+  #define EIGEN_HAS_FP16_C
+#endif
+
+#if defined __CUDACC__
+  #define EIGEN_VECTORIZE_CUDA
+  #include <vector_types.h>
+  #if EIGEN_CUDACC_VER >= 70500
+    #define EIGEN_HAS_CUDA_FP16
+  #endif
+#endif
+
+#if defined EIGEN_HAS_CUDA_FP16
+  #include <host_defines.h>
+  #include <cuda_fp16.h>
+#endif
+
+#if (defined _OPENMP) && (!defined EIGEN_DONT_PARALLELIZE)
+  #define EIGEN_HAS_OPENMP
+#endif
+
+#ifdef EIGEN_HAS_OPENMP
+#include <omp.h>
+#endif
+
+// MSVC for windows mobile does not have the errno.h file
+#if !(EIGEN_COMP_MSVC && EIGEN_OS_WINCE) && !EIGEN_COMP_ARM
+#define EIGEN_HAS_ERRNO
+#endif
+
+#ifdef EIGEN_HAS_ERRNO
+#include <cerrno>
+#endif
+#include <cstddef>
+#include <cstdlib>
+#include <cmath>
+#include <cassert>
+#include <functional>
+#include <iosfwd>
+#include <cstring>
+#include <string>
+#include <limits>
+#include <climits> // for CHAR_BIT
+// for min/max:
+#include <algorithm>
+
+// for std::is_nothrow_move_assignable
+#ifdef EIGEN_INCLUDE_TYPE_TRAITS
+#include <type_traits>
+#endif
+
+// for outputting debug info
+#ifdef EIGEN_DEBUG_ASSIGN
+#include <iostream>
+#endif
+
+// required for __cpuid, needs to be included after cmath
+#if EIGEN_COMP_MSVC && EIGEN_ARCH_i386_OR_x86_64 && !EIGEN_OS_WINCE
+  #include <intrin.h>
+#endif
+
+/** \brief Namespace containing all symbols from the %Eigen library. */
+namespace Eigen {
+
+inline static const char *SimdInstructionSetsInUse(void) {
+#if defined(EIGEN_VECTORIZE_AVX512)
+  return "AVX512, FMA, AVX2, AVX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2";
+#elif defined(EIGEN_VECTORIZE_AVX)
+  return "AVX SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2";
+#elif defined(EIGEN_VECTORIZE_SSE4_2)
+  return "SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2";
+#elif defined(EIGEN_VECTORIZE_SSE4_1)
+  return "SSE, SSE2, SSE3, SSSE3, SSE4.1";
+#elif defined(EIGEN_VECTORIZE_SSSE3)
+  return "SSE, SSE2, SSE3, SSSE3";
+#elif defined(EIGEN_VECTORIZE_SSE3)
+  return "SSE, SSE2, SSE3";
+#elif defined(EIGEN_VECTORIZE_SSE2)
+  return "SSE, SSE2";
+#elif defined(EIGEN_VECTORIZE_ALTIVEC)
+  return "AltiVec";
+#elif defined(EIGEN_VECTORIZE_VSX)
+  return "VSX";
+#elif defined(EIGEN_VECTORIZE_NEON)
+  return "ARM NEON";
+#elif defined(EIGEN_VECTORIZE_ZVECTOR)
+  return "S390X ZVECTOR";
+#else
+  return "None";
+#endif
+}
+
+} // end namespace Eigen
+
+#if defined EIGEN2_SUPPORT_STAGE40_FULL_EIGEN3_STRICTNESS || defined EIGEN2_SUPPORT_STAGE30_FULL_EIGEN3_API || defined EIGEN2_SUPPORT_STAGE20_RESOLVE_API_CONFLICTS || defined EIGEN2_SUPPORT_STAGE10_FULL_EIGEN2_API || defined EIGEN2_SUPPORT
+// This will generate an error message:
+#error Eigen2-support is only available up to version 3.2. Please go to "http://eigen.tuxfamily.org/index.php?title=Eigen2" for further information
+#endif
+
+namespace Eigen {
+
+// we use size_t frequently and we'll never remember to prepend it with std:: everytime just to
+// ensure QNX/QCC support
+using std::size_t;
+// gcc 4.6.0 wants std:: for ptrdiff_t
+using std::ptrdiff_t;
+
+}
+
+/** \defgroup Core_Module Core module
+  * This is the main module of Eigen providing dense matrix and vector support
+  * (both fixed and dynamic size) with all the features corresponding to a BLAS library
+  * and much more...
+  *
+  * \code
+  * #include <Eigen/Core>
+  * \endcode
+  */
+
+#include "src/Core/util/Constants.h"
+#include "src/Core/util/Meta.h"
+#include "src/Core/util/ForwardDeclarations.h"
+#include "src/Core/util/StaticAssert.h"
+#include "src/Core/util/XprHelper.h"
+#include "src/Core/util/Memory.h"
+
+#include "src/Core/NumTraits.h"
+#include "src/Core/MathFunctions.h"
+#include "src/Core/GenericPacketMath.h"
+#include "src/Core/MathFunctionsImpl.h"
+#include "src/Core/arch/Default/ConjHelper.h"
+
+#if defined EIGEN_VECTORIZE_AVX512
+  #include "src/Core/arch/SSE/PacketMath.h"
+  #include "src/Core/arch/AVX/PacketMath.h"
+  #include "src/Core/arch/AVX512/PacketMath.h"
+  #include "src/Core/arch/AVX512/MathFunctions.h"
+#elif defined EIGEN_VECTORIZE_AVX
+  // Use AVX for floats and doubles, SSE for integers
+  #include "src/Core/arch/SSE/PacketMath.h"
+  #include "src/Core/arch/SSE/Complex.h"
+  #include "src/Core/arch/SSE/MathFunctions.h"
+  #include "src/Core/arch/AVX/PacketMath.h"
+  #include "src/Core/arch/AVX/MathFunctions.h"
+  #include "src/Core/arch/AVX/Complex.h"
+  #include "src/Core/arch/AVX/TypeCasting.h"
+  #include "src/Core/arch/SSE/TypeCasting.h"
+#elif defined EIGEN_VECTORIZE_SSE
+  #include "src/Core/arch/SSE/PacketMath.h"
+  #include "src/Core/arch/SSE/MathFunctions.h"
+  #include "src/Core/arch/SSE/Complex.h"
+  #include "src/Core/arch/SSE/TypeCasting.h"
+#elif defined(EIGEN_VECTORIZE_ALTIVEC) || defined(EIGEN_VECTORIZE_VSX)
+  #include "src/Core/arch/AltiVec/PacketMath.h"
+  #include "src/Core/arch/AltiVec/MathFunctions.h"
+  #include "src/Core/arch/AltiVec/Complex.h"
+#elif defined EIGEN_VECTORIZE_NEON
+  #include "src/Core/arch/NEON/PacketMath.h"
+  #include "src/Core/arch/NEON/MathFunctions.h"
+  #include "src/Core/arch/NEON/Complex.h"
+#elif defined EIGEN_VECTORIZE_ZVECTOR
+  #include "src/Core/arch/ZVector/PacketMath.h"
+  #include "src/Core/arch/ZVector/MathFunctions.h"
+  #include "src/Core/arch/ZVector/Complex.h"
+#endif
+
+// Half float support
+#include "src/Core/arch/CUDA/Half.h"
+#include "src/Core/arch/CUDA/PacketMathHalf.h"
+#include "src/Core/arch/CUDA/TypeCasting.h"
+
+#if defined EIGEN_VECTORIZE_CUDA
+  #include "src/Core/arch/CUDA/PacketMath.h"
+  #include "src/Core/arch/CUDA/MathFunctions.h"
+#endif
+
+#include "src/Core/arch/Default/Settings.h"
+
+#include "src/Core/functors/TernaryFunctors.h"
+#include "src/Core/functors/BinaryFunctors.h"
+#include "src/Core/functors/UnaryFunctors.h"
+#include "src/Core/functors/NullaryFunctors.h"
+#include "src/Core/functors/StlFunctors.h"
+#include "src/Core/functors/AssignmentFunctors.h"
+
+// Specialized functors to enable the processing of complex numbers
+// on CUDA devices
+#include "src/Core/arch/CUDA/Complex.h"
+
+#include "src/Core/IO.h"
+#include "src/Core/DenseCoeffsBase.h"
+#include "src/Core/DenseBase.h"
+#include "src/Core/MatrixBase.h"
+#include "src/Core/EigenBase.h"
+
+#include "src/Core/Product.h"
+#include "src/Core/CoreEvaluators.h"
+#include "src/Core/AssignEvaluator.h"
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN // work around Doxygen bug triggered by Assign.h r814874
+                                // at least confirmed with Doxygen 1.5.5 and 1.5.6
+  #include "src/Core/Assign.h"
+#endif
+
+#include "src/Core/ArrayBase.h"
+#include "src/Core/util/BlasUtil.h"
+#include "src/Core/DenseStorage.h"
+#include "src/Core/NestByValue.h"
+
+// #include "src/Core/ForceAlignedAccess.h"
+
+#include "src/Core/ReturnByValue.h"
+#include "src/Core/NoAlias.h"
+#include "src/Core/PlainObjectBase.h"
+#include "src/Core/Matrix.h"
+#include "src/Core/Array.h"
+#include "src/Core/CwiseTernaryOp.h"
+#include "src/Core/CwiseBinaryOp.h"
+#include "src/Core/CwiseUnaryOp.h"
+#include "src/Core/CwiseNullaryOp.h"
+#include "src/Core/CwiseUnaryView.h"
+#include "src/Core/SelfCwiseBinaryOp.h"
+#include "src/Core/Dot.h"
+#include "src/Core/StableNorm.h"
+#include "src/Core/Stride.h"
+#include "src/Core/MapBase.h"
+#include "src/Core/Map.h"
+#include "src/Core/Ref.h"
+#include "src/Core/Block.h"
+#include "src/Core/VectorBlock.h"
+#include "src/Core/Transpose.h"
+#include "src/Core/DiagonalMatrix.h"
+#include "src/Core/Diagonal.h"
+#include "src/Core/DiagonalProduct.h"
+#include "src/Core/Redux.h"
+#include "src/Core/Visitor.h"
+#include "src/Core/Fuzzy.h"
+#include "src/Core/Swap.h"
+#include "src/Core/CommaInitializer.h"
+#include "src/Core/GeneralProduct.h"
+#include "src/Core/Solve.h"
+#include "src/Core/Inverse.h"
+#include "src/Core/SolverBase.h"
+#include "src/Core/PermutationMatrix.h"
+#include "src/Core/Transpositions.h"
+#include "src/Core/TriangularMatrix.h"
+#include "src/Core/SelfAdjointView.h"
+#include "src/Core/products/GeneralBlockPanelKernel.h"
+#include "src/Core/products/Parallelizer.h"
+#include "src/Core/ProductEvaluators.h"
+#include "src/Core/products/GeneralMatrixVector.h"
+#include "src/Core/products/GeneralMatrixMatrix.h"
+#include "src/Core/SolveTriangular.h"
+#include "src/Core/products/GeneralMatrixMatrixTriangular.h"
+#include "src/Core/products/SelfadjointMatrixVector.h"
+#include "src/Core/products/SelfadjointMatrixMatrix.h"
+#include "src/Core/products/SelfadjointProduct.h"
+#include "src/Core/products/SelfadjointRank2Update.h"
+#include "src/Core/products/TriangularMatrixVector.h"
+#include "src/Core/products/TriangularMatrixMatrix.h"
+#include "src/Core/products/TriangularSolverMatrix.h"
+#include "src/Core/products/TriangularSolverVector.h"
+#include "src/Core/BandMatrix.h"
+#include "src/Core/CoreIterators.h"
+#include "src/Core/ConditionEstimator.h"
+
+#include "src/Core/BooleanRedux.h"
+#include "src/Core/Select.h"
+#include "src/Core/VectorwiseOp.h"
+#include "src/Core/Random.h"
+#include "src/Core/Replicate.h"
+#include "src/Core/Reverse.h"
+#include "src/Core/ArrayWrapper.h"
+
+#ifdef EIGEN_USE_BLAS
+#include "src/Core/products/GeneralMatrixMatrix_BLAS.h"
+#include "src/Core/products/GeneralMatrixVector_BLAS.h"
+#include "src/Core/products/GeneralMatrixMatrixTriangular_BLAS.h"
+#include "src/Core/products/SelfadjointMatrixMatrix_BLAS.h"
+#include "src/Core/products/SelfadjointMatrixVector_BLAS.h"
+#include "src/Core/products/TriangularMatrixMatrix_BLAS.h"
+#include "src/Core/products/TriangularMatrixVector_BLAS.h"
+#include "src/Core/products/TriangularSolverMatrix_BLAS.h"
+#endif // EIGEN_USE_BLAS
+
+#ifdef EIGEN_USE_MKL_VML
+#include "src/Core/Assign_MKL.h"
+#endif
+
+#include "src/Core/GlobalFunctions.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_CORE_H

deps_src/eigen/Eigen/Dense

@@ -0,0 +1,7 @@
+#include "Core"
+#include "LU"
+#include "Cholesky"
+#include "QR"
+#include "SVD"
+#include "Geometry"
+#include "Eigenvalues"

deps_src/eigen/Eigen/Eigen

@@ -0,0 +1,2 @@
+#include "Dense"
+#include "Sparse"

deps_src/eigen/Eigen/Eigenvalues

@@ -0,0 +1,61 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_EIGENVALUES_MODULE_H
+#define EIGEN_EIGENVALUES_MODULE_H
+
+#include "Core"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+#include "Cholesky"
+#include "Jacobi"
+#include "Householder"
+#include "LU"
+#include "Geometry"
+
+/** \defgroup Eigenvalues_Module Eigenvalues module
+  *
+  *
+  *
+  * This module mainly provides various eigenvalue solvers.
+  * This module also provides some MatrixBase methods, including:
+  *  - MatrixBase::eigenvalues(),
+  *  - MatrixBase::operatorNorm()
+  *
+  * \code
+  * #include <Eigen/Eigenvalues>
+  * \endcode
+  */
+
+#include "src/misc/RealSvd2x2.h"
+#include "src/Eigenvalues/Tridiagonalization.h"
+#include "src/Eigenvalues/RealSchur.h"
+#include "src/Eigenvalues/EigenSolver.h"
+#include "src/Eigenvalues/SelfAdjointEigenSolver.h"
+#include "src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h"
+#include "src/Eigenvalues/HessenbergDecomposition.h"
+#include "src/Eigenvalues/ComplexSchur.h"
+#include "src/Eigenvalues/ComplexEigenSolver.h"
+#include "src/Eigenvalues/RealQZ.h"
+#include "src/Eigenvalues/GeneralizedEigenSolver.h"
+#include "src/Eigenvalues/MatrixBaseEigenvalues.h"
+#ifdef EIGEN_USE_LAPACKE
+#ifdef EIGEN_USE_MKL
+#include "mkl_lapacke.h"
+#else
+#include "src/misc/lapacke.h"
+#endif
+#include "src/Eigenvalues/RealSchur_LAPACKE.h"
+#include "src/Eigenvalues/ComplexSchur_LAPACKE.h"
+#include "src/Eigenvalues/SelfAdjointEigenSolver_LAPACKE.h"
+#endif
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_EIGENVALUES_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */

deps_src/eigen/Eigen/Geometry

@@ -0,0 +1,62 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GEOMETRY_MODULE_H
+#define EIGEN_GEOMETRY_MODULE_H
+
+#include "Core"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+#include "SVD"
+#include "LU"
+#include <limits>
+
+/** \defgroup Geometry_Module Geometry module
+  *
+  * This module provides support for:
+  *  - fixed-size homogeneous transformations
+  *  - translation, scaling, 2D and 3D rotations
+  *  - \link Quaternion quaternions \endlink
+  *  - cross products (\ref MatrixBase::cross, \ref MatrixBase::cross3)
+  *  - orthognal vector generation (\ref MatrixBase::unitOrthogonal)
+  *  - some linear components: \link ParametrizedLine parametrized-lines \endlink and \link Hyperplane hyperplanes \endlink
+  *  - \link AlignedBox axis aligned bounding boxes \endlink
+  *  - \link umeyama least-square transformation fitting \endlink
+  *
+  * \code
+  * #include <Eigen/Geometry>
+  * \endcode
+  */
+
+#include "src/Geometry/OrthoMethods.h"
+#include "src/Geometry/EulerAngles.h"
+
+#include "src/Geometry/Homogeneous.h"
+#include "src/Geometry/RotationBase.h"
+#include "src/Geometry/Rotation2D.h"
+#include "src/Geometry/Quaternion.h"
+#include "src/Geometry/AngleAxis.h"
+#include "src/Geometry/Transform.h"
+#include "src/Geometry/Translation.h"
+#include "src/Geometry/Scaling.h"
+#include "src/Geometry/Hyperplane.h"
+#include "src/Geometry/ParametrizedLine.h"
+#include "src/Geometry/AlignedBox.h"
+#include "src/Geometry/Umeyama.h"
+
+// Use the SSE optimized version whenever possible. At the moment the
+// SSE version doesn't compile when AVX is enabled
+#if defined EIGEN_VECTORIZE_SSE && !defined EIGEN_VECTORIZE_AVX
+#include "src/Geometry/arch/Geometry_SSE.h"
+#endif
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_GEOMETRY_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */
+

deps_src/eigen/Eigen/Householder

@@ -0,0 +1,30 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_HOUSEHOLDER_MODULE_H
+#define EIGEN_HOUSEHOLDER_MODULE_H
+
+#include "Core"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+/** \defgroup Householder_Module Householder module
+  * This module provides Householder transformations.
+  *
+  * \code
+  * #include <Eigen/Householder>
+  * \endcode
+  */
+
+#include "src/Householder/Householder.h"
+#include "src/Householder/HouseholderSequence.h"
+#include "src/Householder/BlockHouseholder.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_HOUSEHOLDER_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */

deps_src/eigen/Eigen/IterativeLinearSolvers

@@ -0,0 +1,48 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
+#define EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
+
+#include "SparseCore"
+#include "OrderingMethods"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+/** 
+  * \defgroup IterativeLinearSolvers_Module IterativeLinearSolvers module
+  *
+  * This module currently provides iterative methods to solve problems of the form \c A \c x = \c b, where \c A is a squared matrix, usually very large and sparse.
+  * Those solvers are accessible via the following classes:
+  *  - ConjugateGradient for selfadjoint (hermitian) matrices,
+  *  - LeastSquaresConjugateGradient for rectangular least-square problems,
+  *  - BiCGSTAB for general square matrices.
+  *
+  * These iterative solvers are associated with some preconditioners:
+  *  - IdentityPreconditioner - not really useful
+  *  - DiagonalPreconditioner - also called Jacobi preconditioner, work very well on diagonal dominant matrices.
+  *  - IncompleteLUT - incomplete LU factorization with dual thresholding
+  *
+  * Such problems can also be solved using the direct sparse decomposition modules: SparseCholesky, CholmodSupport, UmfPackSupport, SuperLUSupport.
+  *
+    \code
+    #include <Eigen/IterativeLinearSolvers>
+    \endcode
+  */
+
+#include "src/IterativeLinearSolvers/SolveWithGuess.h"
+#include "src/IterativeLinearSolvers/IterativeSolverBase.h"
+#include "src/IterativeLinearSolvers/BasicPreconditioners.h"
+#include "src/IterativeLinearSolvers/ConjugateGradient.h"
+#include "src/IterativeLinearSolvers/LeastSquareConjugateGradient.h"
+#include "src/IterativeLinearSolvers/BiCGSTAB.h"
+#include "src/IterativeLinearSolvers/IncompleteLUT.h"
+#include "src/IterativeLinearSolvers/IncompleteCholesky.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_ITERATIVELINEARSOLVERS_MODULE_H

deps_src/eigen/Eigen/Jacobi

@@ -0,0 +1,33 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_JACOBI_MODULE_H
+#define EIGEN_JACOBI_MODULE_H
+
+#include "Core"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+/** \defgroup Jacobi_Module Jacobi module
+  * This module provides Jacobi and Givens rotations.
+  *
+  * \code
+  * #include <Eigen/Jacobi>
+  * \endcode
+  *
+  * In addition to listed classes, it defines the two following MatrixBase methods to apply a Jacobi or Givens rotation:
+  *  - MatrixBase::applyOnTheLeft()
+  *  - MatrixBase::applyOnTheRight().
+  */
+
+#include "src/Jacobi/Jacobi.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_JACOBI_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */
+

deps_src/eigen/Eigen/LU

@@ -0,0 +1,50 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_LU_MODULE_H
+#define EIGEN_LU_MODULE_H
+
+#include "Core"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+/** \defgroup LU_Module LU module
+  * This module includes %LU decomposition and related notions such as matrix inversion and determinant.
+  * This module defines the following MatrixBase methods:
+  *  - MatrixBase::inverse()
+  *  - MatrixBase::determinant()
+  *
+  * \code
+  * #include <Eigen/LU>
+  * \endcode
+  */
+
+#include "src/misc/Kernel.h"
+#include "src/misc/Image.h"
+#include "src/LU/FullPivLU.h"
+#include "src/LU/PartialPivLU.h"
+#ifdef EIGEN_USE_LAPACKE
+#ifdef EIGEN_USE_MKL
+#include "mkl_lapacke.h"
+#else
+#include "src/misc/lapacke.h"
+#endif
+#include "src/LU/PartialPivLU_LAPACKE.h"
+#endif
+#include "src/LU/Determinant.h"
+#include "src/LU/InverseImpl.h"
+
+// Use the SSE optimized version whenever possible. At the moment the
+// SSE version doesn't compile when AVX is enabled
+#if defined EIGEN_VECTORIZE_SSE && !defined EIGEN_VECTORIZE_AVX
+  #include "src/LU/arch/Inverse_SSE.h"
+#endif
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_LU_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */

deps_src/eigen/Eigen/MetisSupport

@@ -0,0 +1,35 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_METISSUPPORT_MODULE_H
+#define EIGEN_METISSUPPORT_MODULE_H
+
+#include "SparseCore"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+extern "C" {
+#include <metis.h>
+}
+
+
+/** \ingroup Support_modules
+  * \defgroup MetisSupport_Module MetisSupport module
+  *
+  * \code
+  * #include <Eigen/MetisSupport>
+  * \endcode
+  * This module defines an interface to the METIS reordering package (http://glaros.dtc.umn.edu/gkhome/views/metis). 
+  * It can be used just as any other built-in method as explained in \link OrderingMethods_Module here. \endlink
+  */
+
+
+#include "src/MetisSupport/MetisSupport.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_METISSUPPORT_MODULE_H

deps_src/eigen/Eigen/OrderingMethods

@@ -0,0 +1,73 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ORDERINGMETHODS_MODULE_H
+#define EIGEN_ORDERINGMETHODS_MODULE_H
+
+#include "SparseCore"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+/** 
+  * \defgroup OrderingMethods_Module OrderingMethods module
+  *
+  * This module is currently for internal use only
+  * 
+  * It defines various built-in and external ordering methods for sparse matrices. 
+  * They are typically used to reduce the number of elements during 
+  * the sparse matrix decomposition (LLT, LU, QR).
+  * Precisely, in a preprocessing step, a permutation matrix P is computed using 
+  * those ordering methods and applied to the columns of the matrix. 
+  * Using for instance the sparse Cholesky decomposition, it is expected that 
+  * the nonzeros elements in LLT(A*P) will be much smaller than that in LLT(A).
+  * 
+  * 
+  * Usage : 
+  * \code
+  * #include <Eigen/OrderingMethods>
+  * \endcode
+  * 
+  * A simple usage is as a template parameter in the sparse decomposition classes : 
+  * 
+  * \code 
+  * SparseLU<MatrixType, COLAMDOrdering<int> > solver;
+  * \endcode 
+  * 
+  * \code 
+  * SparseQR<MatrixType, COLAMDOrdering<int> > solver;
+  * \endcode
+  * 
+  * It is possible as well to call directly a particular ordering method for your own purpose, 
+  * \code 
+  * AMDOrdering<int> ordering;
+  * PermutationMatrix<Dynamic, Dynamic, int> perm;
+  * SparseMatrix<double> A; 
+  * //Fill the matrix ...
+  * 
+  * ordering(A, perm); // Call AMD
+  * \endcode
+  * 
+  * \note Some of these methods (like AMD or METIS), need the sparsity pattern 
+  * of the input matrix to be symmetric. When the matrix is structurally unsymmetric, 
+  * Eigen computes internally the pattern of \f$A^T*A\f$ before calling the method.
+  * If your matrix is already symmetric (at leat in structure), you can avoid that
+  * by calling the method with a SelfAdjointView type.
+  * 
+  * \code
+  *  // Call the ordering on the pattern of the lower triangular matrix A
+  * ordering(A.selfadjointView<Lower>(), perm);
+  * \endcode
+  */
+
+#ifndef EIGEN_MPL2_ONLY
+#include "src/OrderingMethods/Amd.h"
+#endif
+
+#include "src/OrderingMethods/Ordering.h"
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_ORDERINGMETHODS_MODULE_H

deps_src/eigen/Eigen/PaStiXSupport

@@ -0,0 +1,48 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PASTIXSUPPORT_MODULE_H
+#define EIGEN_PASTIXSUPPORT_MODULE_H
+
+#include "SparseCore"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+extern "C" {
+#include <pastix_nompi.h>
+#include <pastix.h>
+}
+
+#ifdef complex
+#undef complex
+#endif
+
+/** \ingroup Support_modules
+  * \defgroup PaStiXSupport_Module PaStiXSupport module
+  * 
+  * This module provides an interface to the <a href="http://pastix.gforge.inria.fr/">PaSTiX</a> library.
+  * PaSTiX is a general \b supernodal, \b parallel and \b opensource sparse solver.
+  * It provides the two following main factorization classes:
+  * - class PastixLLT : a supernodal, parallel LLt Cholesky factorization.
+  * - class PastixLDLT: a supernodal, parallel LDLt Cholesky factorization.
+  * - class PastixLU : a supernodal, parallel LU factorization (optimized for a symmetric pattern).
+  * 
+  * \code
+  * #include <Eigen/PaStiXSupport>
+  * \endcode
+  *
+  * In order to use this module, the PaSTiX headers must be accessible from the include paths, and your binary must be linked to the PaSTiX library and its dependencies.
+  * The dependencies depend on how PaSTiX has been compiled.
+  * For a cmake based project, you can use our FindPaSTiX.cmake module to help you in this task.
+  *
+  */
+
+#include "src/PaStiXSupport/PaStiXSupport.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_PASTIXSUPPORT_MODULE_H

deps_src/eigen/Eigen/PardisoSupport

@@ -0,0 +1,35 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PARDISOSUPPORT_MODULE_H
+#define EIGEN_PARDISOSUPPORT_MODULE_H
+
+#include "SparseCore"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+#include <mkl_pardiso.h>
+
+/** \ingroup Support_modules
+  * \defgroup PardisoSupport_Module PardisoSupport module
+  *
+  * This module brings support for the Intel(R) MKL PARDISO direct sparse solvers.
+  *
+  * \code
+  * #include <Eigen/PardisoSupport>
+  * \endcode
+  *
+  * In order to use this module, the MKL headers must be accessible from the include paths, and your binary must be linked to the MKL library and its dependencies.
+  * See this \ref TopicUsingIntelMKL "page" for more information on MKL-Eigen integration.
+  * 
+  */
+
+#include "src/PardisoSupport/PardisoSupport.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_PARDISOSUPPORT_MODULE_H

deps_src/eigen/Eigen/QR

@@ -0,0 +1,51 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_QR_MODULE_H
+#define EIGEN_QR_MODULE_H
+
+#include "Core"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+#include "Cholesky"
+#include "Jacobi"
+#include "Householder"
+
+/** \defgroup QR_Module QR module
+  *
+  *
+  *
+  * This module provides various QR decompositions
+  * This module also provides some MatrixBase methods, including:
+  *  - MatrixBase::householderQr()
+  *  - MatrixBase::colPivHouseholderQr()
+  *  - MatrixBase::fullPivHouseholderQr()
+  *
+  * \code
+  * #include <Eigen/QR>
+  * \endcode
+  */
+
+#include "src/QR/HouseholderQR.h"
+#include "src/QR/FullPivHouseholderQR.h"
+#include "src/QR/ColPivHouseholderQR.h"
+#include "src/QR/CompleteOrthogonalDecomposition.h"
+#ifdef EIGEN_USE_LAPACKE
+#ifdef EIGEN_USE_MKL
+#include "mkl_lapacke.h"
+#else
+#include "src/misc/lapacke.h"
+#endif
+#include "src/QR/HouseholderQR_LAPACKE.h"
+#include "src/QR/ColPivHouseholderQR_LAPACKE.h"
+#endif
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_QR_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */

deps_src/eigen/Eigen/QtAlignedMalloc

@@ -0,0 +1,40 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_QTMALLOC_MODULE_H
+#define EIGEN_QTMALLOC_MODULE_H
+
+#include "Core"
+
+#if (!EIGEN_MALLOC_ALREADY_ALIGNED)
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+void *qMalloc(std::size_t size)
+{
+  return Eigen::internal::aligned_malloc(size);
+}
+
+void qFree(void *ptr)
+{
+  Eigen::internal::aligned_free(ptr);
+}
+
+void *qRealloc(void *ptr, std::size_t size)
+{
+  void* newPtr = Eigen::internal::aligned_malloc(size);
+  std::memcpy(newPtr, ptr, size);
+  Eigen::internal::aligned_free(ptr);
+  return newPtr;
+}
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif
+
+#endif // EIGEN_QTMALLOC_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */

deps_src/eigen/Eigen/SPQRSupport

@@ -0,0 +1,34 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPQRSUPPORT_MODULE_H
+#define EIGEN_SPQRSUPPORT_MODULE_H
+
+#include "SparseCore"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+#include "SuiteSparseQR.hpp"
+
+/** \ingroup Support_modules
+  * \defgroup SPQRSupport_Module SuiteSparseQR module
+  * 
+  * This module provides an interface to the SPQR library, which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
+  *
+  * \code
+  * #include <Eigen/SPQRSupport>
+  * \endcode
+  *
+  * In order to use this module, the SPQR headers must be accessible from the include paths, and your binary must be linked to the SPQR library and its dependencies (Cholmod, AMD, COLAMD,...).
+  * For a cmake based project, you can use our FindSPQR.cmake and FindCholmod.Cmake modules
+  *
+  */
+
+#include "src/CholmodSupport/CholmodSupport.h"
+#include "src/SPQRSupport/SuiteSparseQRSupport.h"
+
+#endif

deps_src/eigen/Eigen/SVD

@@ -0,0 +1,51 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SVD_MODULE_H
+#define EIGEN_SVD_MODULE_H
+
+#include "QR"
+#include "Householder"
+#include "Jacobi"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+/** \defgroup SVD_Module SVD module
+  *
+  *
+  *
+  * This module provides SVD decomposition for matrices (both real and complex).
+  * Two decomposition algorithms are provided:
+  *  - JacobiSVD implementing two-sided Jacobi iterations is numerically very accurate, fast for small matrices, but very slow for larger ones.
+  *  - BDCSVD implementing a recursive divide & conquer strategy on top of an upper-bidiagonalization which remains fast for large problems.
+  * These decompositions are accessible via the respective classes and following MatrixBase methods:
+  *  - MatrixBase::jacobiSvd()
+  *  - MatrixBase::bdcSvd()
+  *
+  * \code
+  * #include <Eigen/SVD>
+  * \endcode
+  */
+
+#include "src/misc/RealSvd2x2.h"
+#include "src/SVD/UpperBidiagonalization.h"
+#include "src/SVD/SVDBase.h"
+#include "src/SVD/JacobiSVD.h"
+#include "src/SVD/BDCSVD.h"
+#if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT)
+#ifdef EIGEN_USE_MKL
+#include "mkl_lapacke.h"
+#else
+#include "src/misc/lapacke.h"
+#endif
+#include "src/SVD/JacobiSVD_LAPACKE.h"
+#endif
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_SVD_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */

deps_src/eigen/Eigen/Sparse

@@ -0,0 +1,36 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_MODULE_H
+#define EIGEN_SPARSE_MODULE_H
+
+/** \defgroup Sparse_Module Sparse meta-module
+  *
+  * Meta-module including all related modules:
+  * - \ref SparseCore_Module
+  * - \ref OrderingMethods_Module
+  * - \ref SparseCholesky_Module
+  * - \ref SparseLU_Module
+  * - \ref SparseQR_Module
+  * - \ref IterativeLinearSolvers_Module
+  *
+    \code
+    #include <Eigen/Sparse>
+    \endcode
+  */
+
+#include "SparseCore"
+#include "OrderingMethods"
+#ifndef EIGEN_MPL2_ONLY
+#include "SparseCholesky"
+#endif
+#include "SparseLU"
+#include "SparseQR"
+#include "IterativeLinearSolvers"
+
+#endif // EIGEN_SPARSE_MODULE_H
+

deps_src/eigen/Eigen/SparseCholesky

@@ -0,0 +1,45 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2013 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSECHOLESKY_MODULE_H
+#define EIGEN_SPARSECHOLESKY_MODULE_H
+
+#include "SparseCore"
+#include "OrderingMethods"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+/** 
+  * \defgroup SparseCholesky_Module SparseCholesky module
+  *
+  * This module currently provides two variants of the direct sparse Cholesky decomposition for selfadjoint (hermitian) matrices.
+  * Those decompositions are accessible via the following classes:
+  *  - SimplicialLLt,
+  *  - SimplicialLDLt
+  *
+  * Such problems can also be solved using the ConjugateGradient solver from the IterativeLinearSolvers module.
+  *
+  * \code
+  * #include <Eigen/SparseCholesky>
+  * \endcode
+  */
+
+#ifdef EIGEN_MPL2_ONLY
+#error The SparseCholesky module has nothing to offer in MPL2 only mode
+#endif
+
+#include "src/SparseCholesky/SimplicialCholesky.h"
+
+#ifndef EIGEN_MPL2_ONLY
+#include "src/SparseCholesky/SimplicialCholesky_impl.h"
+#endif
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_SPARSECHOLESKY_MODULE_H

deps_src/eigen/Eigen/SparseCore

@@ -0,0 +1,69 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSECORE_MODULE_H
+#define EIGEN_SPARSECORE_MODULE_H
+
+#include "Core"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+#include <vector>
+#include <map>
+#include <cstdlib>
+#include <cstring>
+#include <algorithm>
+
+/** 
+  * \defgroup SparseCore_Module SparseCore module
+  *
+  * This module provides a sparse matrix representation, and basic associated matrix manipulations
+  * and operations.
+  *
+  * See the \ref TutorialSparse "Sparse tutorial"
+  *
+  * \code
+  * #include <Eigen/SparseCore>
+  * \endcode
+  *
+  * This module depends on: Core.
+  */
+
+#include "src/SparseCore/SparseUtil.h"
+#include "src/SparseCore/SparseMatrixBase.h"
+#include "src/SparseCore/SparseAssign.h"
+#include "src/SparseCore/CompressedStorage.h"
+#include "src/SparseCore/AmbiVector.h"
+#include "src/SparseCore/SparseCompressedBase.h"
+#include "src/SparseCore/SparseMatrix.h"
+#include "src/SparseCore/SparseMap.h"
+#include "src/SparseCore/MappedSparseMatrix.h"
+#include "src/SparseCore/SparseVector.h"
+#include "src/SparseCore/SparseRef.h"
+#include "src/SparseCore/SparseCwiseUnaryOp.h"
+#include "src/SparseCore/SparseCwiseBinaryOp.h"
+#include "src/SparseCore/SparseTranspose.h"
+#include "src/SparseCore/SparseBlock.h"
+#include "src/SparseCore/SparseDot.h"
+#include "src/SparseCore/SparseRedux.h"
+#include "src/SparseCore/SparseView.h"
+#include "src/SparseCore/SparseDiagonalProduct.h"
+#include "src/SparseCore/ConservativeSparseSparseProduct.h"
+#include "src/SparseCore/SparseSparseProductWithPruning.h"
+#include "src/SparseCore/SparseProduct.h"
+#include "src/SparseCore/SparseDenseProduct.h"
+#include "src/SparseCore/SparseSelfAdjointView.h"
+#include "src/SparseCore/SparseTriangularView.h"
+#include "src/SparseCore/TriangularSolver.h"
+#include "src/SparseCore/SparsePermutation.h"
+#include "src/SparseCore/SparseFuzzy.h"
+#include "src/SparseCore/SparseSolverBase.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_SPARSECORE_MODULE_H
+

deps_src/eigen/Eigen/SparseLU

@@ -0,0 +1,46 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 Désiré Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSELU_MODULE_H
+#define EIGEN_SPARSELU_MODULE_H
+
+#include "SparseCore"
+
+/** 
+  * \defgroup SparseLU_Module SparseLU module
+  * This module defines a supernodal factorization of general sparse matrices.
+  * The code is fully optimized for supernode-panel updates with specialized kernels.
+  * Please, see the documentation of the SparseLU class for more details.
+  */
+
+// Ordering interface
+#include "OrderingMethods"
+
+#include "src/SparseLU/SparseLU_gemm_kernel.h"
+
+#include "src/SparseLU/SparseLU_Structs.h"
+#include "src/SparseLU/SparseLU_SupernodalMatrix.h"
+#include "src/SparseLU/SparseLUImpl.h"
+#include "src/SparseCore/SparseColEtree.h"
+#include "src/SparseLU/SparseLU_Memory.h"
+#include "src/SparseLU/SparseLU_heap_relax_snode.h"
+#include "src/SparseLU/SparseLU_relax_snode.h"
+#include "src/SparseLU/SparseLU_pivotL.h"
+#include "src/SparseLU/SparseLU_panel_dfs.h"
+#include "src/SparseLU/SparseLU_kernel_bmod.h"
+#include "src/SparseLU/SparseLU_panel_bmod.h"
+#include "src/SparseLU/SparseLU_column_dfs.h"
+#include "src/SparseLU/SparseLU_column_bmod.h"
+#include "src/SparseLU/SparseLU_copy_to_ucol.h"
+#include "src/SparseLU/SparseLU_pruneL.h"
+#include "src/SparseLU/SparseLU_Utils.h"
+#include "src/SparseLU/SparseLU.h"
+
+#endif // EIGEN_SPARSELU_MODULE_H

deps_src/eigen/Eigen/SparseQR

@@ -0,0 +1,37 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSEQR_MODULE_H
+#define EIGEN_SPARSEQR_MODULE_H
+
+#include "SparseCore"
+#include "OrderingMethods"
+#include "src/Core/util/DisableStupidWarnings.h"
+
+/** \defgroup SparseQR_Module SparseQR module
+  * \brief Provides QR decomposition for sparse matrices
+  * 
+  * This module provides a simplicial version of the left-looking Sparse QR decomposition. 
+  * The columns of the input matrix should be reordered to limit the fill-in during the 
+  * decomposition. Built-in methods (COLAMD, AMD) or external  methods (METIS) can be used to this end.
+  * See the \link OrderingMethods_Module OrderingMethods\endlink module for the list 
+  * of built-in and external ordering methods.
+  * 
+  * \code
+  * #include <Eigen/SparseQR>
+  * \endcode
+  * 
+  * 
+  */
+
+#include "OrderingMethods"
+#include "src/SparseCore/SparseColEtree.h"
+#include "src/SparseQR/SparseQR.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif

deps_src/eigen/Eigen/StdDeque

@@ -0,0 +1,27 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STDDEQUE_MODULE_H
+#define EIGEN_STDDEQUE_MODULE_H
+
+#include "Core"
+#include <deque>
+
+#if EIGEN_COMP_MSVC && EIGEN_OS_WIN64 && (EIGEN_MAX_STATIC_ALIGN_BYTES<=16) /* MSVC auto aligns up to 16 bytes in 64 bit builds */
+
+#define EIGEN_DEFINE_STL_DEQUE_SPECIALIZATION(...)
+
+#else
+
+#include "src/StlSupport/StdDeque.h"
+
+#endif
+
+#endif // EIGEN_STDDEQUE_MODULE_H

deps_src/eigen/Eigen/StdList

@@ -0,0 +1,26 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STDLIST_MODULE_H
+#define EIGEN_STDLIST_MODULE_H
+
+#include "Core"
+#include <list>
+
+#if EIGEN_COMP_MSVC && EIGEN_OS_WIN64 && (EIGEN_MAX_STATIC_ALIGN_BYTES<=16) /* MSVC auto aligns up to 16 bytes in 64 bit builds */
+
+#define EIGEN_DEFINE_STL_LIST_SPECIALIZATION(...)
+
+#else
+
+#include "src/StlSupport/StdList.h"
+
+#endif
+
+#endif // EIGEN_STDLIST_MODULE_H

deps_src/eigen/Eigen/StdVector

@@ -0,0 +1,27 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STDVECTOR_MODULE_H
+#define EIGEN_STDVECTOR_MODULE_H
+
+#include "Core"
+#include <vector>
+
+#if EIGEN_COMP_MSVC && EIGEN_OS_WIN64 && (EIGEN_MAX_STATIC_ALIGN_BYTES<=16) /* MSVC auto aligns up to 16 bytes in 64 bit builds */
+
+#define EIGEN_DEFINE_STL_VECTOR_SPECIALIZATION(...)
+
+#else
+
+#include "src/StlSupport/StdVector.h"
+
+#endif
+
+#endif // EIGEN_STDVECTOR_MODULE_H

deps_src/eigen/Eigen/SuperLUSupport

@@ -0,0 +1,64 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SUPERLUSUPPORT_MODULE_H
+#define EIGEN_SUPERLUSUPPORT_MODULE_H
+
+#include "SparseCore"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+#ifdef EMPTY
+#define EIGEN_EMPTY_WAS_ALREADY_DEFINED
+#endif
+
+typedef int int_t;
+#include <slu_Cnames.h>
+#include <supermatrix.h>
+#include <slu_util.h>
+
+// slu_util.h defines a preprocessor token named EMPTY which is really polluting,
+// so we remove it in favor of a SUPERLU_EMPTY token.
+// If EMPTY was already defined then we don't undef it.
+
+#if defined(EIGEN_EMPTY_WAS_ALREADY_DEFINED)
+# undef EIGEN_EMPTY_WAS_ALREADY_DEFINED
+#elif defined(EMPTY)
+# undef EMPTY
+#endif
+
+#define SUPERLU_EMPTY (-1)
+
+namespace Eigen { struct SluMatrix; }
+
+/** \ingroup Support_modules
+  * \defgroup SuperLUSupport_Module SuperLUSupport module
+  *
+  * This module provides an interface to the <a href="http://crd-legacy.lbl.gov/~xiaoye/SuperLU/">SuperLU</a> library.
+  * It provides the following factorization class:
+  * - class SuperLU: a supernodal sequential LU factorization.
+  * - class SuperILU: a supernodal sequential incomplete LU factorization (to be used as a preconditioner for iterative methods).
+  *
+  * \warning This wrapper requires at least versions 4.0 of SuperLU. The 3.x versions are not supported.
+  *
+  * \warning When including this module, you have to use SUPERLU_EMPTY instead of EMPTY which is no longer defined because it is too polluting.
+  *
+  * \code
+  * #include <Eigen/SuperLUSupport>
+  * \endcode
+  *
+  * In order to use this module, the superlu headers must be accessible from the include paths, and your binary must be linked to the superlu library and its dependencies.
+  * The dependencies depend on how superlu has been compiled.
+  * For a cmake based project, you can use our FindSuperLU.cmake module to help you in this task.
+  *
+  */
+
+#include "src/SuperLUSupport/SuperLUSupport.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_SUPERLUSUPPORT_MODULE_H

deps_src/eigen/Eigen/UmfPackSupport

@@ -0,0 +1,40 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_UMFPACKSUPPORT_MODULE_H
+#define EIGEN_UMFPACKSUPPORT_MODULE_H
+
+#include "SparseCore"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+extern "C" {
+#include <umfpack.h>
+}
+
+/** \ingroup Support_modules
+  * \defgroup UmfPackSupport_Module UmfPackSupport module
+  *
+  * This module provides an interface to the UmfPack library which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
+  * It provides the following factorization class:
+  * - class UmfPackLU: a multifrontal sequential LU factorization.
+  *
+  * \code
+  * #include <Eigen/UmfPackSupport>
+  * \endcode
+  *
+  * In order to use this module, the umfpack headers must be accessible from the include paths, and your binary must be linked to the umfpack library and its dependencies.
+  * The dependencies depend on how umfpack has been compiled.
+  * For a cmake based project, you can use our FindUmfPack.cmake module to help you in this task.
+  *
+  */
+
+#include "src/UmfPackSupport/UmfPackSupport.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_UMFPACKSUPPORT_MODULE_H

deps_src/eigen/Eigen/src/Cholesky/LDLT.h

@@ -0,0 +1,673 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Keir Mierle <mierle@gmail.com>
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2011 Timothy E. Holy <tim.holy@gmail.com >
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_LDLT_H
+#define EIGEN_LDLT_H
+
+namespace Eigen {
+
+namespace internal {
+  template<typename MatrixType, int UpLo> struct LDLT_Traits;
+
+  // PositiveSemiDef means positive semi-definite and non-zero; same for NegativeSemiDef
+  enum SignMatrix { PositiveSemiDef, NegativeSemiDef, ZeroSign, Indefinite };
+}
+
+/** \ingroup Cholesky_Module
+  *
+  * \class LDLT
+  *
+  * \brief Robust Cholesky decomposition of a matrix with pivoting
+  *
+  * \tparam _MatrixType the type of the matrix of which to compute the LDL^T Cholesky decomposition
+  * \tparam _UpLo the triangular part that will be used for the decompositon: Lower (default) or Upper.
+  *             The other triangular part won't be read.
+  *
+  * Perform a robust Cholesky decomposition of a positive semidefinite or negative semidefinite
+  * matrix \f$ A \f$ such that \f$ A =  P^TLDL^*P \f$, where P is a permutation matrix, L
+  * is lower triangular with a unit diagonal and D is a diagonal matrix.
+  *
+  * The decomposition uses pivoting to ensure stability, so that L will have
+  * zeros in the bottom right rank(A) - n submatrix. Avoiding the square root
+  * on D also stabilizes the computation.
+  *
+  * Remember that Cholesky decompositions are not rank-revealing. Also, do not use a Cholesky
+  * decomposition to determine whether a system of equations has a solution.
+  *
+  * This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
+  * 
+  * \sa MatrixBase::ldlt(), SelfAdjointView::ldlt(), class LLT
+  */
+template<typename _MatrixType, int _UpLo> class LDLT
+{
+  public:
+    typedef _MatrixType MatrixType;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
+      UpLo = _UpLo
+    };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef Matrix<Scalar, RowsAtCompileTime, 1, 0, MaxRowsAtCompileTime, 1> TmpMatrixType;
+
+    typedef Transpositions<RowsAtCompileTime, MaxRowsAtCompileTime> TranspositionType;
+    typedef PermutationMatrix<RowsAtCompileTime, MaxRowsAtCompileTime> PermutationType;
+
+    typedef internal::LDLT_Traits<MatrixType,UpLo> Traits;
+
+    /** \brief Default Constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via LDLT::compute(const MatrixType&).
+      */
+    LDLT()
+      : m_matrix(),
+        m_transpositions(),
+        m_sign(internal::ZeroSign),
+        m_isInitialized(false)
+    {}
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa LDLT()
+      */
+    explicit LDLT(Index size)
+      : m_matrix(size, size),
+        m_transpositions(size),
+        m_temporary(size),
+        m_sign(internal::ZeroSign),
+        m_isInitialized(false)
+    {}
+
+    /** \brief Constructor with decomposition
+      *
+      * This calculates the decomposition for the input \a matrix.
+      *
+      * \sa LDLT(Index size)
+      */
+    template<typename InputType>
+    explicit LDLT(const EigenBase<InputType>& matrix)
+      : m_matrix(matrix.rows(), matrix.cols()),
+        m_transpositions(matrix.rows()),
+        m_temporary(matrix.rows()),
+        m_sign(internal::ZeroSign),
+        m_isInitialized(false)
+    {
+      compute(matrix.derived());
+    }
+
+    /** \brief Constructs a LDLT factorization from a given matrix
+      *
+      * This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when \c MatrixType is a Eigen::Ref.
+      *
+      * \sa LDLT(const EigenBase&)
+      */
+    template<typename InputType>
+    explicit LDLT(EigenBase<InputType>& matrix)
+      : m_matrix(matrix.derived()),
+        m_transpositions(matrix.rows()),
+        m_temporary(matrix.rows()),
+        m_sign(internal::ZeroSign),
+        m_isInitialized(false)
+    {
+      compute(matrix.derived());
+    }
+
+    /** Clear any existing decomposition
+     * \sa rankUpdate(w,sigma)
+     */
+    void setZero()
+    {
+      m_isInitialized = false;
+    }
+
+    /** \returns a view of the upper triangular matrix U */
+    inline typename Traits::MatrixU matrixU() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return Traits::getU(m_matrix);
+    }
+
+    /** \returns a view of the lower triangular matrix L */
+    inline typename Traits::MatrixL matrixL() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return Traits::getL(m_matrix);
+    }
+
+    /** \returns the permutation matrix P as a transposition sequence.
+      */
+    inline const TranspositionType& transpositionsP() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_transpositions;
+    }
+
+    /** \returns the coefficients of the diagonal matrix D */
+    inline Diagonal<const MatrixType> vectorD() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_matrix.diagonal();
+    }
+
+    /** \returns true if the matrix is positive (semidefinite) */
+    inline bool isPositive() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_sign == internal::PositiveSemiDef || m_sign == internal::ZeroSign;
+    }
+
+    /** \returns true if the matrix is negative (semidefinite) */
+    inline bool isNegative(void) const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_sign == internal::NegativeSemiDef || m_sign == internal::ZeroSign;
+    }
+
+    /** \returns a solution x of \f$ A x = b \f$ using the current decomposition of A.
+      *
+      * This function also supports in-place solves using the syntax <tt>x = decompositionObject.solve(x)</tt> .
+      *
+      * \note_about_checking_solutions
+      *
+      * More precisely, this method solves \f$ A x = b \f$ using the decomposition \f$ A = P^T L D L^* P \f$
+      * by solving the systems \f$ P^T y_1 = b \f$, \f$ L y_2 = y_1 \f$, \f$ D y_3 = y_2 \f$,
+      * \f$ L^* y_4 = y_3 \f$ and \f$ P x = y_4 \f$ in succession. If the matrix \f$ A \f$ is singular, then
+      * \f$ D \f$ will also be singular (all the other matrices are invertible). In that case, the
+      * least-square solution of \f$ D y_3 = y_2 \f$ is computed. This does not mean that this function
+      * computes the least-square solution of \f$ A x = b \f$ is \f$ A \f$ is singular.
+      *
+      * \sa MatrixBase::ldlt(), SelfAdjointView::ldlt()
+      */
+    template<typename Rhs>
+    inline const Solve<LDLT, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      eigen_assert(m_matrix.rows()==b.rows()
+                && "LDLT::solve(): invalid number of rows of the right hand side matrix b");
+      return Solve<LDLT, Rhs>(*this, b.derived());
+    }
+
+    template<typename Derived>
+    bool solveInPlace(MatrixBase<Derived> &bAndX) const;
+
+    template<typename InputType>
+    LDLT& compute(const EigenBase<InputType>& matrix);
+
+    /** \returns an estimate of the reciprocal condition number of the matrix of
+     *  which \c *this is the LDLT decomposition.
+     */
+    RealScalar rcond() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return internal::rcond_estimate_helper(m_l1_norm, *this);
+    }
+
+    template <typename Derived>
+    LDLT& rankUpdate(const MatrixBase<Derived>& w, const RealScalar& alpha=1);
+
+    /** \returns the internal LDLT decomposition matrix
+      *
+      * TODO: document the storage layout
+      */
+    inline const MatrixType& matrixLDLT() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_matrix;
+    }
+
+    MatrixType reconstructedMatrix() const;
+
+    /** \returns the adjoint of \c *this, that is, a const reference to the decomposition itself as the underlying matrix is self-adjoint.
+      *
+      * This method is provided for compatibility with other matrix decompositions, thus enabling generic code such as:
+      * \code x = decomposition.adjoint().solve(b) \endcode
+      */
+    const LDLT& adjoint() const { return *this; };
+
+    inline Index rows() const { return m_matrix.rows(); }
+    inline Index cols() const { return m_matrix.cols(); }
+
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the factorization failed because of a zero pivot.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_info;
+    }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl(const RhsType &rhs, DstType &dst) const;
+    #endif
+
+  protected:
+
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+
+    /** \internal
+      * Used to compute and store the Cholesky decomposition A = L D L^* = U^* D U.
+      * The strict upper part is used during the decomposition, the strict lower
+      * part correspond to the coefficients of L (its diagonal is equal to 1 and
+      * is not stored), and the diagonal entries correspond to D.
+      */
+    MatrixType m_matrix;
+    RealScalar m_l1_norm;
+    TranspositionType m_transpositions;
+    TmpMatrixType m_temporary;
+    internal::SignMatrix m_sign;
+    bool m_isInitialized;
+    ComputationInfo m_info;
+};
+
+namespace internal {
+
+template<int UpLo> struct ldlt_inplace;
+
+template<> struct ldlt_inplace<Lower>
+{
+  template<typename MatrixType, typename TranspositionType, typename Workspace>
+  static bool unblocked(MatrixType& mat, TranspositionType& transpositions, Workspace& temp, SignMatrix& sign)
+  {
+    using std::abs;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef typename TranspositionType::StorageIndex IndexType;
+    eigen_assert(mat.rows()==mat.cols());
+    const Index size = mat.rows();
+    bool found_zero_pivot = false;
+    bool ret = true;
+
+    if (size <= 1)
+    {
+      transpositions.setIdentity();
+      if(size==0) sign = ZeroSign;
+      else if (numext::real(mat.coeff(0,0)) > static_cast<RealScalar>(0) ) sign = PositiveSemiDef;
+      else if (numext::real(mat.coeff(0,0)) < static_cast<RealScalar>(0)) sign = NegativeSemiDef;
+      else sign = ZeroSign;
+      return true;
+    }
+
+    for (Index k = 0; k < size; ++k)
+    {
+      // Find largest diagonal element
+      Index index_of_biggest_in_corner;
+      mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
+      index_of_biggest_in_corner += k;
+
+      transpositions.coeffRef(k) = IndexType(index_of_biggest_in_corner);
+      if(k != index_of_biggest_in_corner)
+      {
+        // apply the transposition while taking care to consider only
+        // the lower triangular part
+        Index s = size-index_of_biggest_in_corner-1; // trailing size after the biggest element
+        mat.row(k).head(k).swap(mat.row(index_of_biggest_in_corner).head(k));
+        mat.col(k).tail(s).swap(mat.col(index_of_biggest_in_corner).tail(s));
+        std::swap(mat.coeffRef(k,k),mat.coeffRef(index_of_biggest_in_corner,index_of_biggest_in_corner));
+        for(Index i=k+1;i<index_of_biggest_in_corner;++i)
+        {
+          Scalar tmp = mat.coeffRef(i,k);
+          mat.coeffRef(i,k) = numext::conj(mat.coeffRef(index_of_biggest_in_corner,i));
+          mat.coeffRef(index_of_biggest_in_corner,i) = numext::conj(tmp);
+        }
+        if(NumTraits<Scalar>::IsComplex)
+          mat.coeffRef(index_of_biggest_in_corner,k) = numext::conj(mat.coeff(index_of_biggest_in_corner,k));
+      }
+
+      // partition the matrix:
+      //       A00 |  -  |  -
+      // lu  = A10 | A11 |  -
+      //       A20 | A21 | A22
+      Index rs = size - k - 1;
+      Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
+      Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
+      Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
+
+      if(k>0)
+      {
+        temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
+        mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
+        if(rs>0)
+          A21.noalias() -= A20 * temp.head(k);
+      }
+
+      // In some previous versions of Eigen (e.g., 3.2.1), the scaling was omitted if the pivot
+      // was smaller than the cutoff value. However, since LDLT is not rank-revealing
+      // we should only make sure that we do not introduce INF or NaN values.
+      // Remark that LAPACK also uses 0 as the cutoff value.
+      RealScalar realAkk = numext::real(mat.coeffRef(k,k));
+      bool pivot_is_valid = (abs(realAkk) > RealScalar(0));
+
+      if(k==0 && !pivot_is_valid)
+      {
+        // The entire diagonal is zero, there is nothing more to do
+        // except filling the transpositions, and checking whether the matrix is zero.
+        sign = ZeroSign;
+        for(Index j = 0; j<size; ++j)
+        {
+          transpositions.coeffRef(j) = IndexType(j);
+          ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
+        }
+        return ret;
+      }
+
+      if((rs>0) && pivot_is_valid)
+        A21 /= realAkk;
+      else if(rs>0)
+        ret = ret && (A21.array()==Scalar(0)).all();
+
+      if(found_zero_pivot && pivot_is_valid) ret = false; // factorization failed
+      else if(!pivot_is_valid) found_zero_pivot = true;
+
+      if (sign == PositiveSemiDef) {
+        if (realAkk < static_cast<RealScalar>(0)) sign = Indefinite;
+      } else if (sign == NegativeSemiDef) {
+        if (realAkk > static_cast<RealScalar>(0)) sign = Indefinite;
+      } else if (sign == ZeroSign) {
+        if (realAkk > static_cast<RealScalar>(0)) sign = PositiveSemiDef;
+        else if (realAkk < static_cast<RealScalar>(0)) sign = NegativeSemiDef;
+      }
+    }
+
+    return ret;
+  }
+
+  // Reference for the algorithm: Davis and Hager, "Multiple Rank
+  // Modifications of a Sparse Cholesky Factorization" (Algorithm 1)
+  // Trivial rearrangements of their computations (Timothy E. Holy)
+  // allow their algorithm to work for rank-1 updates even if the
+  // original matrix is not of full rank.
+  // Here only rank-1 updates are implemented, to reduce the
+  // requirement for intermediate storage and improve accuracy
+  template<typename MatrixType, typename WDerived>
+  static bool updateInPlace(MatrixType& mat, MatrixBase<WDerived>& w, const typename MatrixType::RealScalar& sigma=1)
+  {
+    using numext::isfinite;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+
+    const Index size = mat.rows();
+    eigen_assert(mat.cols() == size && w.size()==size);
+
+    RealScalar alpha = 1;
+
+    // Apply the update
+    for (Index j = 0; j < size; j++)
+    {
+      // Check for termination due to an original decomposition of low-rank
+      if (!(isfinite)(alpha))
+        break;
+
+      // Update the diagonal terms
+      RealScalar dj = numext::real(mat.coeff(j,j));
+      Scalar wj = w.coeff(j);
+      RealScalar swj2 = sigma*numext::abs2(wj);
+      RealScalar gamma = dj*alpha + swj2;
+
+      mat.coeffRef(j,j) += swj2/alpha;
+      alpha += swj2/dj;
+
+
+      // Update the terms of L
+      Index rs = size-j-1;
+      w.tail(rs) -= wj * mat.col(j).tail(rs);
+      if(gamma != 0)
+        mat.col(j).tail(rs) += (sigma*numext::conj(wj)/gamma)*w.tail(rs);
+    }
+    return true;
+  }
+
+  template<typename MatrixType, typename TranspositionType, typename Workspace, typename WType>
+  static bool update(MatrixType& mat, const TranspositionType& transpositions, Workspace& tmp, const WType& w, const typename MatrixType::RealScalar& sigma=1)
+  {
+    // Apply the permutation to the input w
+    tmp = transpositions * w;
+
+    return ldlt_inplace<Lower>::updateInPlace(mat,tmp,sigma);
+  }
+};
+
+template<> struct ldlt_inplace<Upper>
+{
+  template<typename MatrixType, typename TranspositionType, typename Workspace>
+  static EIGEN_STRONG_INLINE bool unblocked(MatrixType& mat, TranspositionType& transpositions, Workspace& temp, SignMatrix& sign)
+  {
+    Transpose<MatrixType> matt(mat);
+    return ldlt_inplace<Lower>::unblocked(matt, transpositions, temp, sign);
+  }
+
+  template<typename MatrixType, typename TranspositionType, typename Workspace, typename WType>
+  static EIGEN_STRONG_INLINE bool update(MatrixType& mat, TranspositionType& transpositions, Workspace& tmp, WType& w, const typename MatrixType::RealScalar& sigma=1)
+  {
+    Transpose<MatrixType> matt(mat);
+    return ldlt_inplace<Lower>::update(matt, transpositions, tmp, w.conjugate(), sigma);
+  }
+};
+
+template<typename MatrixType> struct LDLT_Traits<MatrixType,Lower>
+{
+  typedef const TriangularView<const MatrixType, UnitLower> MatrixL;
+  typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitUpper> MatrixU;
+  static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
+  static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
+};
+
+template<typename MatrixType> struct LDLT_Traits<MatrixType,Upper>
+{
+  typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitLower> MatrixL;
+  typedef const TriangularView<const MatrixType, UnitUpper> MatrixU;
+  static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoint()); }
+  static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
+};
+
+} // end namespace internal
+
+/** Compute / recompute the LDLT decomposition A = L D L^* = U^* D U of \a matrix
+  */
+template<typename MatrixType, int _UpLo>
+template<typename InputType>
+LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::compute(const EigenBase<InputType>& a)
+{
+  check_template_parameters();
+
+  eigen_assert(a.rows()==a.cols());
+  const Index size = a.rows();
+
+  m_matrix = a.derived();
+
+  // Compute matrix L1 norm = max abs column sum.
+  m_l1_norm = RealScalar(0);
+  // TODO move this code to SelfAdjointView
+  for (Index col = 0; col < size; ++col) {
+    RealScalar abs_col_sum;
+    if (_UpLo == Lower)
+      abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
+    else
+      abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>();
+    if (abs_col_sum > m_l1_norm)
+      m_l1_norm = abs_col_sum;
+  }
+
+  m_transpositions.resize(size);
+  m_isInitialized = false;
+  m_temporary.resize(size);
+  m_sign = internal::ZeroSign;
+
+  m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
+
+  m_isInitialized = true;
+  return *this;
+}
+
+/** Update the LDLT decomposition:  given A = L D L^T, efficiently compute the decomposition of A + sigma w w^T.
+ * \param w a vector to be incorporated into the decomposition.
+ * \param sigma a scalar, +1 for updates and -1 for "downdates," which correspond to removing previously-added column vectors. Optional; default value is +1.
+ * \sa setZero()
+  */
+template<typename MatrixType, int _UpLo>
+template<typename Derived>
+LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::rankUpdate(const MatrixBase<Derived>& w, const typename LDLT<MatrixType,_UpLo>::RealScalar& sigma)
+{
+  typedef typename TranspositionType::StorageIndex IndexType;
+  const Index size = w.rows();
+  if (m_isInitialized)
+  {
+    eigen_assert(m_matrix.rows()==size);
+  }
+  else
+  {
+    m_matrix.resize(size,size);
+    m_matrix.setZero();
+    m_transpositions.resize(size);
+    for (Index i = 0; i < size; i++)
+      m_transpositions.coeffRef(i) = IndexType(i);
+    m_temporary.resize(size);
+    m_sign = sigma>=0 ? internal::PositiveSemiDef : internal::NegativeSemiDef;
+    m_isInitialized = true;
+  }
+
+  internal::ldlt_inplace<UpLo>::update(m_matrix, m_transpositions, m_temporary, w, sigma);
+
+  return *this;
+}
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename _MatrixType, int _UpLo>
+template<typename RhsType, typename DstType>
+void LDLT<_MatrixType,_UpLo>::_solve_impl(const RhsType &rhs, DstType &dst) const
+{
+  eigen_assert(rhs.rows() == rows());
+  // dst = P b
+  dst = m_transpositions * rhs;
+
+  // dst = L^-1 (P b)
+  matrixL().solveInPlace(dst);
+
+  // dst = D^-1 (L^-1 P b)
+  // more precisely, use pseudo-inverse of D (see bug 241)
+  using std::abs;
+  const typename Diagonal<const MatrixType>::RealReturnType vecD(vectorD());
+  // In some previous versions, tolerance was set to the max of 1/highest (or rather numeric_limits::min())
+  // and the maximal diagonal entry * epsilon as motivated by LAPACK's xGELSS:
+  // RealScalar tolerance = numext::maxi(vecD.array().abs().maxCoeff() * NumTraits<RealScalar>::epsilon(),RealScalar(1) / NumTraits<RealScalar>::highest());
+  // However, LDLT is not rank revealing, and so adjusting the tolerance wrt to the highest
+  // diagonal element is not well justified and leads to numerical issues in some cases.
+  // Moreover, Lapack's xSYTRS routines use 0 for the tolerance.
+  // Using numeric_limits::min() gives us more robustness to denormals.
+  RealScalar tolerance = (std::numeric_limits<RealScalar>::min)();
+
+  for (Index i = 0; i < vecD.size(); ++i)
+  {
+    if(abs(vecD(i)) > tolerance)
+      dst.row(i) /= vecD(i);
+    else
+      dst.row(i).setZero();
+  }
+
+  // dst = L^-T (D^-1 L^-1 P b)
+  matrixU().solveInPlace(dst);
+
+  // dst = P^-1 (L^-T D^-1 L^-1 P b) = A^-1 b
+  dst = m_transpositions.transpose() * dst;
+}
+#endif
+
+/** \internal use x = ldlt_object.solve(x);
+  *
+  * This is the \em in-place version of solve().
+  *
+  * \param bAndX represents both the right-hand side matrix b and result x.
+  *
+  * \returns true always! If you need to check for existence of solutions, use another decomposition like LU, QR, or SVD.
+  *
+  * This version avoids a copy when the right hand side matrix b is not
+  * needed anymore.
+  *
+  * \sa LDLT::solve(), MatrixBase::ldlt()
+  */
+template<typename MatrixType,int _UpLo>
+template<typename Derived>
+bool LDLT<MatrixType,_UpLo>::solveInPlace(MatrixBase<Derived> &bAndX) const
+{
+  eigen_assert(m_isInitialized && "LDLT is not initialized.");
+  eigen_assert(m_matrix.rows() == bAndX.rows());
+
+  bAndX = this->solve(bAndX);
+
+  return true;
+}
+
+/** \returns the matrix represented by the decomposition,
+ * i.e., it returns the product: P^T L D L^* P.
+ * This function is provided for debug purpose. */
+template<typename MatrixType, int _UpLo>
+MatrixType LDLT<MatrixType,_UpLo>::reconstructedMatrix() const
+{
+  eigen_assert(m_isInitialized && "LDLT is not initialized.");
+  const Index size = m_matrix.rows();
+  MatrixType res(size,size);
+
+  // P
+  res.setIdentity();
+  res = transpositionsP() * res;
+  // L^* P
+  res = matrixU() * res;
+  // D(L^*P)
+  res = vectorD().real().asDiagonal() * res;
+  // L(DL^*P)
+  res = matrixL() * res;
+  // P^T (LDL^*P)
+  res = transpositionsP().transpose() * res;
+
+  return res;
+}
+
+/** \cholesky_module
+  * \returns the Cholesky decomposition with full pivoting without square root of \c *this
+  * \sa MatrixBase::ldlt()
+  */
+template<typename MatrixType, unsigned int UpLo>
+inline const LDLT<typename SelfAdjointView<MatrixType, UpLo>::PlainObject, UpLo>
+SelfAdjointView<MatrixType, UpLo>::ldlt() const
+{
+  return LDLT<PlainObject,UpLo>(m_matrix);
+}
+
+/** \cholesky_module
+  * \returns the Cholesky decomposition with full pivoting without square root of \c *this
+  * \sa SelfAdjointView::ldlt()
+  */
+template<typename Derived>
+inline const LDLT<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::ldlt() const
+{
+  return LDLT<PlainObject>(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_LDLT_H

deps_src/eigen/Eigen/src/Cholesky/LLT.h

@@ -0,0 +1,542 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_LLT_H
+#define EIGEN_LLT_H
+
+namespace Eigen {
+
+namespace internal{
+template<typename MatrixType, int UpLo> struct LLT_Traits;
+}
+
+/** \ingroup Cholesky_Module
+  *
+  * \class LLT
+  *
+  * \brief Standard Cholesky decomposition (LL^T) of a matrix and associated features
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the LL^T Cholesky decomposition
+  * \tparam _UpLo the triangular part that will be used for the decompositon: Lower (default) or Upper.
+  *               The other triangular part won't be read.
+  *
+  * This class performs a LL^T Cholesky decomposition of a symmetric, positive definite
+  * matrix A such that A = LL^* = U^*U, where L is lower triangular.
+  *
+  * While the Cholesky decomposition is particularly useful to solve selfadjoint problems like  D^*D x = b,
+  * for that purpose, we recommend the Cholesky decomposition without square root which is more stable
+  * and even faster. Nevertheless, this standard Cholesky decomposition remains useful in many other
+  * situations like generalised eigen problems with hermitian matrices.
+  *
+  * Remember that Cholesky decompositions are not rank-revealing. This LLT decomposition is only stable on positive definite matrices,
+  * use LDLT instead for the semidefinite case. Also, do not use a Cholesky decomposition to determine whether a system of equations
+  * has a solution.
+  *
+  * Example: \include LLT_example.cpp
+  * Output: \verbinclude LLT_example.out
+  *
+  * \b Performance: for best performance, it is recommended to use a column-major storage format
+  * with the Lower triangular part (the default), or, equivalently, a row-major storage format
+  * with the Upper triangular part. Otherwise, you might get a 20% slowdown for the full factorization
+  * step, and rank-updates can be up to 3 times slower.
+  *
+  * This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
+  *
+  * Note that during the decomposition, only the lower (or upper, as defined by _UpLo) triangular part of A is considered.
+  * Therefore, the strict lower part does not have to store correct values.
+  *
+  * \sa MatrixBase::llt(), SelfAdjointView::llt(), class LDLT
+  */
+template<typename _MatrixType, int _UpLo> class LLT
+{
+  public:
+    typedef _MatrixType MatrixType;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+    typedef typename MatrixType::StorageIndex StorageIndex;
+
+    enum {
+      PacketSize = internal::packet_traits<Scalar>::size,
+      AlignmentMask = int(PacketSize)-1,
+      UpLo = _UpLo
+    };
+
+    typedef internal::LLT_Traits<MatrixType,UpLo> Traits;
+
+    /**
+      * \brief Default Constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via LLT::compute(const MatrixType&).
+      */
+    LLT() : m_matrix(), m_isInitialized(false) {}
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa LLT()
+      */
+    explicit LLT(Index size) : m_matrix(size, size),
+                    m_isInitialized(false) {}
+
+    template<typename InputType>
+    explicit LLT(const EigenBase<InputType>& matrix)
+      : m_matrix(matrix.rows(), matrix.cols()),
+        m_isInitialized(false)
+    {
+      compute(matrix.derived());
+    }
+
+    /** \brief Constructs a LDLT factorization from a given matrix
+      *
+      * This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when
+      * \c MatrixType is a Eigen::Ref.
+      *
+      * \sa LLT(const EigenBase&)
+      */
+    template<typename InputType>
+    explicit LLT(EigenBase<InputType>& matrix)
+      : m_matrix(matrix.derived()),
+        m_isInitialized(false)
+    {
+      compute(matrix.derived());
+    }
+
+    /** \returns a view of the upper triangular matrix U */
+    inline typename Traits::MatrixU matrixU() const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      return Traits::getU(m_matrix);
+    }
+
+    /** \returns a view of the lower triangular matrix L */
+    inline typename Traits::MatrixL matrixL() const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      return Traits::getL(m_matrix);
+    }
+
+    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
+      *
+      * Since this LLT class assumes anyway that the matrix A is invertible, the solution
+      * theoretically exists and is unique regardless of b.
+      *
+      * Example: \include LLT_solve.cpp
+      * Output: \verbinclude LLT_solve.out
+      *
+      * \sa solveInPlace(), MatrixBase::llt(), SelfAdjointView::llt()
+      */
+    template<typename Rhs>
+    inline const Solve<LLT, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      eigen_assert(m_matrix.rows()==b.rows()
+                && "LLT::solve(): invalid number of rows of the right hand side matrix b");
+      return Solve<LLT, Rhs>(*this, b.derived());
+    }
+
+    template<typename Derived>
+    void solveInPlace(const MatrixBase<Derived> &bAndX) const;
+
+    template<typename InputType>
+    LLT& compute(const EigenBase<InputType>& matrix);
+
+    /** \returns an estimate of the reciprocal condition number of the matrix of
+      *  which \c *this is the Cholesky decomposition.
+      */
+    RealScalar rcond() const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      eigen_assert(m_info == Success && "LLT failed because matrix appears to be negative");
+      return internal::rcond_estimate_helper(m_l1_norm, *this);
+    }
+
+    /** \returns the LLT decomposition matrix
+      *
+      * TODO: document the storage layout
+      */
+    inline const MatrixType& matrixLLT() const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      return m_matrix;
+    }
+
+    MatrixType reconstructedMatrix() const;
+
+
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the matrix.appears not to be positive definite.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      return m_info;
+    }
+
+    /** \returns the adjoint of \c *this, that is, a const reference to the decomposition itself as the underlying matrix is self-adjoint.
+      *
+      * This method is provided for compatibility with other matrix decompositions, thus enabling generic code such as:
+      * \code x = decomposition.adjoint().solve(b) \endcode
+      */
+    const LLT& adjoint() const { return *this; };
+
+    inline Index rows() const { return m_matrix.rows(); }
+    inline Index cols() const { return m_matrix.cols(); }
+
+    template<typename VectorType>
+    LLT rankUpdate(const VectorType& vec, const RealScalar& sigma = 1);
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl(const RhsType &rhs, DstType &dst) const;
+    #endif
+
+  protected:
+
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+
+    /** \internal
+      * Used to compute and store L
+      * The strict upper part is not used and even not initialized.
+      */
+    MatrixType m_matrix;
+    RealScalar m_l1_norm;
+    bool m_isInitialized;
+    ComputationInfo m_info;
+};
+
+namespace internal {
+
+template<typename Scalar, int UpLo> struct llt_inplace;
+
+template<typename MatrixType, typename VectorType>
+static Index llt_rank_update_lower(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma)
+{
+  using std::sqrt;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::RealScalar RealScalar;
+  typedef typename MatrixType::ColXpr ColXpr;
+  typedef typename internal::remove_all<ColXpr>::type ColXprCleaned;
+  typedef typename ColXprCleaned::SegmentReturnType ColXprSegment;
+  typedef Matrix<Scalar,Dynamic,1> TempVectorType;
+  typedef typename TempVectorType::SegmentReturnType TempVecSegment;
+
+  Index n = mat.cols();
+  eigen_assert(mat.rows()==n && vec.size()==n);
+
+  TempVectorType temp;
+
+  if(sigma>0)
+  {
+    // This version is based on Givens rotations.
+    // It is faster than the other one below, but only works for updates,
+    // i.e., for sigma > 0
+    temp = sqrt(sigma) * vec;
+
+    for(Index i=0; i<n; ++i)
+    {
+      JacobiRotation<Scalar> g;
+      g.makeGivens(mat(i,i), -temp(i), &mat(i,i));
+
+      Index rs = n-i-1;
+      if(rs>0)
+      {
+        ColXprSegment x(mat.col(i).tail(rs));
+        TempVecSegment y(temp.tail(rs));
+        apply_rotation_in_the_plane(x, y, g);
+      }
+    }
+  }
+  else
+  {
+    temp = vec;
+    RealScalar beta = 1;
+    for(Index j=0; j<n; ++j)
+    {
+      RealScalar Ljj = numext::real(mat.coeff(j,j));
+      RealScalar dj = numext::abs2(Ljj);
+      Scalar wj = temp.coeff(j);
+      RealScalar swj2 = sigma*numext::abs2(wj);
+      RealScalar gamma = dj*beta + swj2;
+
+      RealScalar x = dj + swj2/beta;
+      if (x<=RealScalar(0))
+        return j;
+      RealScalar nLjj = sqrt(x);
+      mat.coeffRef(j,j) = nLjj;
+      beta += swj2/dj;
+
+      // Update the terms of L
+      Index rs = n-j-1;
+      if(rs)
+      {
+        temp.tail(rs) -= (wj/Ljj) * mat.col(j).tail(rs);
+        if(gamma != 0)
+          mat.col(j).tail(rs) = (nLjj/Ljj) * mat.col(j).tail(rs) + (nLjj * sigma*numext::conj(wj)/gamma)*temp.tail(rs);
+      }
+    }
+  }
+  return -1;
+}
+
+template<typename Scalar> struct llt_inplace<Scalar, Lower>
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  template<typename MatrixType>
+  static Index unblocked(MatrixType& mat)
+  {
+    using std::sqrt;
+
+    eigen_assert(mat.rows()==mat.cols());
+    const Index size = mat.rows();
+    for(Index k = 0; k < size; ++k)
+    {
+      Index rs = size-k-1; // remaining size
+
+      Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
+      Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
+      Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
+
+      RealScalar x = numext::real(mat.coeff(k,k));
+      if (k>0) x -= A10.squaredNorm();
+      if (x<=RealScalar(0))
+        return k;
+      mat.coeffRef(k,k) = x = sqrt(x);
+      if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
+      if (rs>0) A21 /= x;
+    }
+    return -1;
+  }
+
+  template<typename MatrixType>
+  static Index blocked(MatrixType& m)
+  {
+    eigen_assert(m.rows()==m.cols());
+    Index size = m.rows();
+    if(size<32)
+      return unblocked(m);
+
+    Index blockSize = size/8;
+    blockSize = (blockSize/16)*16;
+    blockSize = (std::min)((std::max)(blockSize,Index(8)), Index(128));
+
+    for (Index k=0; k<size; k+=blockSize)
+    {
+      // partition the matrix:
+      //       A00 |  -  |  -
+      // lu  = A10 | A11 |  -
+      //       A20 | A21 | A22
+      Index bs = (std::min)(blockSize, size-k);
+      Index rs = size - k - bs;
+      Block<MatrixType,Dynamic,Dynamic> A11(m,k,   k,   bs,bs);
+      Block<MatrixType,Dynamic,Dynamic> A21(m,k+bs,k,   rs,bs);
+      Block<MatrixType,Dynamic,Dynamic> A22(m,k+bs,k+bs,rs,rs);
+
+      Index ret;
+      if((ret=unblocked(A11))>=0) return k+ret;
+      if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
+      if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
+    }
+    return -1;
+  }
+
+  template<typename MatrixType, typename VectorType>
+  static Index rankUpdate(MatrixType& mat, const VectorType& vec, const RealScalar& sigma)
+  {
+    return Eigen::internal::llt_rank_update_lower(mat, vec, sigma);
+  }
+};
+
+template<typename Scalar> struct llt_inplace<Scalar, Upper>
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+
+  template<typename MatrixType>
+  static EIGEN_STRONG_INLINE Index unblocked(MatrixType& mat)
+  {
+    Transpose<MatrixType> matt(mat);
+    return llt_inplace<Scalar, Lower>::unblocked(matt);
+  }
+  template<typename MatrixType>
+  static EIGEN_STRONG_INLINE Index blocked(MatrixType& mat)
+  {
+    Transpose<MatrixType> matt(mat);
+    return llt_inplace<Scalar, Lower>::blocked(matt);
+  }
+  template<typename MatrixType, typename VectorType>
+  static Index rankUpdate(MatrixType& mat, const VectorType& vec, const RealScalar& sigma)
+  {
+    Transpose<MatrixType> matt(mat);
+    return llt_inplace<Scalar, Lower>::rankUpdate(matt, vec.conjugate(), sigma);
+  }
+};
+
+template<typename MatrixType> struct LLT_Traits<MatrixType,Lower>
+{
+  typedef const TriangularView<const MatrixType, Lower> MatrixL;
+  typedef const TriangularView<const typename MatrixType::AdjointReturnType, Upper> MatrixU;
+  static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
+  static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
+  static bool inplace_decomposition(MatrixType& m)
+  { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
+};
+
+template<typename MatrixType> struct LLT_Traits<MatrixType,Upper>
+{
+  typedef const TriangularView<const typename MatrixType::AdjointReturnType, Lower> MatrixL;
+  typedef const TriangularView<const MatrixType, Upper> MatrixU;
+  static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoint()); }
+  static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
+  static bool inplace_decomposition(MatrixType& m)
+  { return llt_inplace<typename MatrixType::Scalar, Upper>::blocked(m)==-1; }
+};
+
+} // end namespace internal
+
+/** Computes / recomputes the Cholesky decomposition A = LL^* = U^*U of \a matrix
+  *
+  * \returns a reference to *this
+  *
+  * Example: \include TutorialLinAlgComputeTwice.cpp
+  * Output: \verbinclude TutorialLinAlgComputeTwice.out
+  */
+template<typename MatrixType, int _UpLo>
+template<typename InputType>
+LLT<MatrixType,_UpLo>& LLT<MatrixType,_UpLo>::compute(const EigenBase<InputType>& a)
+{
+  check_template_parameters();
+
+  eigen_assert(a.rows()==a.cols());
+  const Index size = a.rows();
+  m_matrix.resize(size, size);
+  if (!internal::is_same_dense(m_matrix, a.derived()))
+    m_matrix = a.derived();
+
+  // Compute matrix L1 norm = max abs column sum.
+  m_l1_norm = RealScalar(0);
+  // TODO move this code to SelfAdjointView
+  for (Index col = 0; col < size; ++col) {
+    RealScalar abs_col_sum;
+    if (_UpLo == Lower)
+      abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
+    else
+      abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>();
+    if (abs_col_sum > m_l1_norm)
+      m_l1_norm = abs_col_sum;
+  }
+
+  m_isInitialized = true;
+  bool ok = Traits::inplace_decomposition(m_matrix);
+  m_info = ok ? Success : NumericalIssue;
+
+  return *this;
+}
+
+/** Performs a rank one update (or dowdate) of the current decomposition.
+  * If A = LL^* before the rank one update,
+  * then after it we have LL^* = A + sigma * v v^* where \a v must be a vector
+  * of same dimension.
+  */
+template<typename _MatrixType, int _UpLo>
+template<typename VectorType>
+LLT<_MatrixType,_UpLo> LLT<_MatrixType,_UpLo>::rankUpdate(const VectorType& v, const RealScalar& sigma)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(VectorType);
+  eigen_assert(v.size()==m_matrix.cols());
+  eigen_assert(m_isInitialized);
+  if(internal::llt_inplace<typename MatrixType::Scalar, UpLo>::rankUpdate(m_matrix,v,sigma)>=0)
+    m_info = NumericalIssue;
+  else
+    m_info = Success;
+
+  return *this;
+}
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename _MatrixType,int _UpLo>
+template<typename RhsType, typename DstType>
+void LLT<_MatrixType,_UpLo>::_solve_impl(const RhsType &rhs, DstType &dst) const
+{
+  dst = rhs;
+  solveInPlace(dst);
+}
+#endif
+
+/** \internal use x = llt_object.solve(x);
+  *
+  * This is the \em in-place version of solve().
+  *
+  * \param bAndX represents both the right-hand side matrix b and result x.
+  *
+  * This version avoids a copy when the right hand side matrix b is not needed anymore.
+  *
+  * \warning The parameter is only marked 'const' to make the C++ compiler accept a temporary expression here.
+  * This function will const_cast it, so constness isn't honored here.
+  *
+  * \sa LLT::solve(), MatrixBase::llt()
+  */
+template<typename MatrixType, int _UpLo>
+template<typename Derived>
+void LLT<MatrixType,_UpLo>::solveInPlace(const MatrixBase<Derived> &bAndX) const
+{
+  eigen_assert(m_isInitialized && "LLT is not initialized.");
+  eigen_assert(m_matrix.rows()==bAndX.rows());
+  matrixL().solveInPlace(bAndX);
+  matrixU().solveInPlace(bAndX);
+}
+
+/** \returns the matrix represented by the decomposition,
+ * i.e., it returns the product: L L^*.
+ * This function is provided for debug purpose. */
+template<typename MatrixType, int _UpLo>
+MatrixType LLT<MatrixType,_UpLo>::reconstructedMatrix() const
+{
+  eigen_assert(m_isInitialized && "LLT is not initialized.");
+  return matrixL() * matrixL().adjoint().toDenseMatrix();
+}
+
+/** \cholesky_module
+  * \returns the LLT decomposition of \c *this
+  * \sa SelfAdjointView::llt()
+  */
+template<typename Derived>
+inline const LLT<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::llt() const
+{
+  return LLT<PlainObject>(derived());
+}
+
+/** \cholesky_module
+  * \returns the LLT decomposition of \c *this
+  * \sa SelfAdjointView::llt()
+  */
+template<typename MatrixType, unsigned int UpLo>
+inline const LLT<typename SelfAdjointView<MatrixType, UpLo>::PlainObject, UpLo>
+SelfAdjointView<MatrixType, UpLo>::llt() const
+{
+  return LLT<PlainObject,UpLo>(m_matrix);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_LLT_H

deps_src/eigen/Eigen/src/Cholesky/LLT_LAPACKE.h

@@ -0,0 +1,99 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to LAPACKe
+ *     LLt decomposition based on LAPACKE_?potrf function.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_LLT_LAPACKE_H
+#define EIGEN_LLT_LAPACKE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Scalar> struct lapacke_llt;
+
+#define EIGEN_LAPACKE_LLT(EIGTYPE, BLASTYPE, LAPACKE_PREFIX) \
+template<> struct lapacke_llt<EIGTYPE> \
+{ \
+  template<typename MatrixType> \
+  static inline Index potrf(MatrixType& m, char uplo) \
+  { \
+    lapack_int matrix_order; \
+    lapack_int size, lda, info, StorageOrder; \
+    EIGTYPE* a; \
+    eigen_assert(m.rows()==m.cols()); \
+    /* Set up parameters for ?potrf */ \
+    size = convert_index<lapack_int>(m.rows()); \
+    StorageOrder = MatrixType::Flags&RowMajorBit?RowMajor:ColMajor; \
+    matrix_order = StorageOrder==RowMajor ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR; \
+    a = &(m.coeffRef(0,0)); \
+    lda = convert_index<lapack_int>(m.outerStride()); \
+\
+    info = LAPACKE_##LAPACKE_PREFIX##potrf( matrix_order, uplo, size, (BLASTYPE*)a, lda ); \
+    info = (info==0) ? -1 : info>0 ? info-1 : size; \
+    return info; \
+  } \
+}; \
+template<> struct llt_inplace<EIGTYPE, Lower> \
+{ \
+  template<typename MatrixType> \
+  static Index blocked(MatrixType& m) \
+  { \
+    return lapacke_llt<EIGTYPE>::potrf(m, 'L'); \
+  } \
+  template<typename MatrixType, typename VectorType> \
+  static Index rankUpdate(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma) \
+  { return Eigen::internal::llt_rank_update_lower(mat, vec, sigma); } \
+}; \
+template<> struct llt_inplace<EIGTYPE, Upper> \
+{ \
+  template<typename MatrixType> \
+  static Index blocked(MatrixType& m) \
+  { \
+    return lapacke_llt<EIGTYPE>::potrf(m, 'U'); \
+  } \
+  template<typename MatrixType, typename VectorType> \
+  static Index rankUpdate(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma) \
+  { \
+    Transpose<MatrixType> matt(mat); \
+    return llt_inplace<EIGTYPE, Lower>::rankUpdate(matt, vec.conjugate(), sigma); \
+  } \
+};
+
+EIGEN_LAPACKE_LLT(double, double, d)
+EIGEN_LAPACKE_LLT(float, float, s)
+EIGEN_LAPACKE_LLT(dcomplex, lapack_complex_double, z)
+EIGEN_LAPACKE_LLT(scomplex, lapack_complex_float, c)
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_LLT_LAPACKE_H

deps_src/eigen/Eigen/src/CholmodSupport/CholmodSupport.h

@@ -0,0 +1,639 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CHOLMODSUPPORT_H
+#define EIGEN_CHOLMODSUPPORT_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Scalar> struct cholmod_configure_matrix;
+
+template<> struct cholmod_configure_matrix<double> {
+  template<typename CholmodType>
+  static void run(CholmodType& mat) {
+    mat.xtype = CHOLMOD_REAL;
+    mat.dtype = CHOLMOD_DOUBLE;
+  }
+};
+
+template<> struct cholmod_configure_matrix<std::complex<double> > {
+  template<typename CholmodType>
+  static void run(CholmodType& mat) {
+    mat.xtype = CHOLMOD_COMPLEX;
+    mat.dtype = CHOLMOD_DOUBLE;
+  }
+};
+
+// Other scalar types are not yet suppotred by Cholmod
+// template<> struct cholmod_configure_matrix<float> {
+//   template<typename CholmodType>
+//   static void run(CholmodType& mat) {
+//     mat.xtype = CHOLMOD_REAL;
+//     mat.dtype = CHOLMOD_SINGLE;
+//   }
+// };
+//
+// template<> struct cholmod_configure_matrix<std::complex<float> > {
+//   template<typename CholmodType>
+//   static void run(CholmodType& mat) {
+//     mat.xtype = CHOLMOD_COMPLEX;
+//     mat.dtype = CHOLMOD_SINGLE;
+//   }
+// };
+
+} // namespace internal
+
+/** Wraps the Eigen sparse matrix \a mat into a Cholmod sparse matrix object.
+  * Note that the data are shared.
+  */
+template<typename _Scalar, int _Options, typename _StorageIndex>
+cholmod_sparse viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_StorageIndex> > mat)
+{
+  cholmod_sparse res;
+  res.nzmax   = mat.nonZeros();
+  res.nrow    = mat.rows();
+  res.ncol    = mat.cols();
+  res.p       = mat.outerIndexPtr();
+  res.i       = mat.innerIndexPtr();
+  res.x       = mat.valuePtr();
+  res.z       = 0;
+  res.sorted  = 1;
+  if(mat.isCompressed())
+  {
+    res.packed  = 1;
+    res.nz = 0;
+  }
+  else
+  {
+    res.packed  = 0;
+    res.nz = mat.innerNonZeroPtr();
+  }
+
+  res.dtype   = 0;
+  res.stype   = -1;
+  
+  if (internal::is_same<_StorageIndex,int>::value)
+  {
+    res.itype = CHOLMOD_INT;
+  }
+  else if (internal::is_same<_StorageIndex,long>::value)
+  {
+    res.itype = CHOLMOD_LONG;
+  }
+  else
+  {
+    eigen_assert(false && "Index type not supported yet");
+  }
+
+  // setup res.xtype
+  internal::cholmod_configure_matrix<_Scalar>::run(res);
+  
+  res.stype = 0;
+  
+  return res;
+}
+
+template<typename _Scalar, int _Options, typename _Index>
+const cholmod_sparse viewAsCholmod(const SparseMatrix<_Scalar,_Options,_Index>& mat)
+{
+  cholmod_sparse res = viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_Index> >(mat.const_cast_derived()));
+  return res;
+}
+
+template<typename _Scalar, int _Options, typename _Index>
+const cholmod_sparse viewAsCholmod(const SparseVector<_Scalar,_Options,_Index>& mat)
+{
+  cholmod_sparse res = viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_Index> >(mat.const_cast_derived()));
+  return res;
+}
+
+/** Returns a view of the Eigen sparse matrix \a mat as Cholmod sparse matrix.
+  * The data are not copied but shared. */
+template<typename _Scalar, int _Options, typename _Index, unsigned int UpLo>
+cholmod_sparse viewAsCholmod(const SparseSelfAdjointView<const SparseMatrix<_Scalar,_Options,_Index>, UpLo>& mat)
+{
+  cholmod_sparse res = viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_Index> >(mat.matrix().const_cast_derived()));
+  
+  if(UpLo==Upper) res.stype =  1;
+  if(UpLo==Lower) res.stype = -1;
+
+  return res;
+}
+
+/** Returns a view of the Eigen \b dense matrix \a mat as Cholmod dense matrix.
+  * The data are not copied but shared. */
+template<typename Derived>
+cholmod_dense viewAsCholmod(MatrixBase<Derived>& mat)
+{
+  EIGEN_STATIC_ASSERT((internal::traits<Derived>::Flags&RowMajorBit)==0,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+  typedef typename Derived::Scalar Scalar;
+
+  cholmod_dense res;
+  res.nrow   = mat.rows();
+  res.ncol   = mat.cols();
+  res.nzmax  = res.nrow * res.ncol;
+  res.d      = Derived::IsVectorAtCompileTime ? mat.derived().size() : mat.derived().outerStride();
+  res.x      = (void*)(mat.derived().data());
+  res.z      = 0;
+
+  internal::cholmod_configure_matrix<Scalar>::run(res);
+
+  return res;
+}
+
+/** Returns a view of the Cholmod sparse matrix \a cm as an Eigen sparse matrix.
+  * The data are not copied but shared. */
+template<typename Scalar, int Flags, typename StorageIndex>
+MappedSparseMatrix<Scalar,Flags,StorageIndex> viewAsEigen(cholmod_sparse& cm)
+{
+  return MappedSparseMatrix<Scalar,Flags,StorageIndex>
+         (cm.nrow, cm.ncol, static_cast<StorageIndex*>(cm.p)[cm.ncol],
+          static_cast<StorageIndex*>(cm.p), static_cast<StorageIndex*>(cm.i),static_cast<Scalar*>(cm.x) );
+}
+
+enum CholmodMode {
+  CholmodAuto, CholmodSimplicialLLt, CholmodSupernodalLLt, CholmodLDLt
+};
+
+
+/** \ingroup CholmodSupport_Module
+  * \class CholmodBase
+  * \brief The base class for the direct Cholesky factorization of Cholmod
+  * \sa class CholmodSupernodalLLT, class CholmodSimplicialLDLT, class CholmodSimplicialLLT
+  */
+template<typename _MatrixType, int _UpLo, typename Derived>
+class CholmodBase : public SparseSolverBase<Derived>
+{
+  protected:
+    typedef SparseSolverBase<Derived> Base;
+    using Base::derived;
+    using Base::m_isInitialized;
+  public:
+    typedef _MatrixType MatrixType;
+    enum { UpLo = _UpLo };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef MatrixType CholMatrixType;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    enum {
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+
+  public:
+
+    CholmodBase()
+      : m_cholmodFactor(0), m_info(Success), m_factorizationIsOk(false), m_analysisIsOk(false)
+    {
+      EIGEN_STATIC_ASSERT((internal::is_same<double,RealScalar>::value), CHOLMOD_SUPPORTS_DOUBLE_PRECISION_ONLY);
+      m_shiftOffset[0] = m_shiftOffset[1] = 0.0;
+      cholmod_start(&m_cholmod);
+    }
+
+    explicit CholmodBase(const MatrixType& matrix)
+      : m_cholmodFactor(0), m_info(Success), m_factorizationIsOk(false), m_analysisIsOk(false)
+    {
+      EIGEN_STATIC_ASSERT((internal::is_same<double,RealScalar>::value), CHOLMOD_SUPPORTS_DOUBLE_PRECISION_ONLY);
+      m_shiftOffset[0] = m_shiftOffset[1] = 0.0;
+      cholmod_start(&m_cholmod);
+      compute(matrix);
+    }
+
+    ~CholmodBase()
+    {
+      if(m_cholmodFactor)
+        cholmod_free_factor(&m_cholmodFactor, &m_cholmod);
+      cholmod_finish(&m_cholmod);
+    }
+    
+    inline StorageIndex cols() const { return internal::convert_index<StorageIndex, Index>(m_cholmodFactor->n); }
+    inline StorageIndex rows() const { return internal::convert_index<StorageIndex, Index>(m_cholmodFactor->n); }
+    
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the matrix.appears to be negative.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_info;
+    }
+
+    /** Computes the sparse Cholesky decomposition of \a matrix */
+    Derived& compute(const MatrixType& matrix)
+    {
+      analyzePattern(matrix);
+      factorize(matrix);
+      return derived();
+    }
+    
+    /** Performs a symbolic decomposition on the sparsity pattern of \a matrix.
+      *
+      * This function is particularly useful when solving for several problems having the same structure.
+      * 
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& matrix)
+    {
+      if(m_cholmodFactor)
+      {
+        cholmod_free_factor(&m_cholmodFactor, &m_cholmod);
+        m_cholmodFactor = 0;
+      }
+      cholmod_sparse A = viewAsCholmod(matrix.template selfadjointView<UpLo>());
+      m_cholmodFactor = cholmod_analyze(&A, &m_cholmod);
+      
+      this->m_isInitialized = true;
+      this->m_info = Success;
+      m_analysisIsOk = true;
+      m_factorizationIsOk = false;
+    }
+    
+    /** Performs a numeric decomposition of \a matrix
+      *
+      * The given matrix must have the same sparsity pattern as the matrix on which the symbolic decomposition has been performed.
+      *
+      * \sa analyzePattern()
+      */
+    void factorize(const MatrixType& matrix)
+    {
+      eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
+      cholmod_sparse A = viewAsCholmod(matrix.template selfadjointView<UpLo>());
+      cholmod_factorize_p(&A, m_shiftOffset, 0, 0, m_cholmodFactor, &m_cholmod);
+
+      // If the factorization failed, minor is the column at which it did. On success minor == n.
+      this->m_info = (m_cholmodFactor->minor == m_cholmodFactor->n ? Success : NumericalIssue);
+      m_factorizationIsOk = true;
+    }
+    
+    /** Returns a reference to the Cholmod's configuration structure to get a full control over the performed operations.
+     *  See the Cholmod user guide for details. */
+    cholmod_common& cholmod() { return m_cholmod; }
+    
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal */
+    template<typename Rhs,typename Dest>
+    void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
+    {
+      eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
+      const Index size = m_cholmodFactor->n;
+      EIGEN_UNUSED_VARIABLE(size);
+      eigen_assert(size==b.rows());
+      
+      // Cholmod needs column-major stoarge without inner-stride, which corresponds to the default behavior of Ref.
+      Ref<const Matrix<typename Rhs::Scalar,Dynamic,Dynamic,ColMajor> > b_ref(b.derived());
+
+      cholmod_dense b_cd = viewAsCholmod(b_ref);
+      cholmod_dense* x_cd = cholmod_solve(CHOLMOD_A, m_cholmodFactor, &b_cd, &m_cholmod);
+      if(!x_cd)
+      {
+        this->m_info = NumericalIssue;
+        return;
+      }
+      // TODO optimize this copy by swapping when possible (be careful with alignment, etc.)
+      dest = Matrix<Scalar,Dest::RowsAtCompileTime,Dest::ColsAtCompileTime>::Map(reinterpret_cast<Scalar*>(x_cd->x),b.rows(),b.cols());
+      cholmod_free_dense(&x_cd, &m_cholmod);
+    }
+    
+    /** \internal */
+    template<typename RhsDerived, typename DestDerived>
+    void _solve_impl(const SparseMatrixBase<RhsDerived> &b, SparseMatrixBase<DestDerived> &dest) const
+    {
+      eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
+      const Index size = m_cholmodFactor->n;
+      EIGEN_UNUSED_VARIABLE(size);
+      eigen_assert(size==b.rows());
+
+      // note: cs stands for Cholmod Sparse
+      Ref<SparseMatrix<typename RhsDerived::Scalar,ColMajor,typename RhsDerived::StorageIndex> > b_ref(b.const_cast_derived());
+      cholmod_sparse b_cs = viewAsCholmod(b_ref);
+      cholmod_sparse* x_cs = cholmod_spsolve(CHOLMOD_A, m_cholmodFactor, &b_cs, &m_cholmod);
+      if(!x_cs)
+      {
+        this->m_info = NumericalIssue;
+        return;
+      }
+      // TODO optimize this copy by swapping when possible (be careful with alignment, etc.)
+      dest.derived() = viewAsEigen<typename DestDerived::Scalar,ColMajor,typename DestDerived::StorageIndex>(*x_cs);
+      cholmod_free_sparse(&x_cs, &m_cholmod);
+    }
+    #endif // EIGEN_PARSED_BY_DOXYGEN
+    
+    
+    /** Sets the shift parameter that will be used to adjust the diagonal coefficients during the numerical factorization.
+      *
+      * During the numerical factorization, an offset term is added to the diagonal coefficients:\n
+      * \c d_ii = \a offset + \c d_ii
+      *
+      * The default is \a offset=0.
+      *
+      * \returns a reference to \c *this.
+      */
+    Derived& setShift(const RealScalar& offset)
+    {
+      m_shiftOffset[0] = double(offset);
+      return derived();
+    }
+    
+    /** \returns the determinant of the underlying matrix from the current factorization */
+    Scalar determinant() const
+    {
+      using std::exp;
+      return exp(logDeterminant());
+    }
+
+    /** \returns the log determinant of the underlying matrix from the current factorization */
+    Scalar logDeterminant() const
+    {
+      using std::log;
+      using numext::real;
+      eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
+
+      RealScalar logDet = 0;
+      Scalar *x = static_cast<Scalar*>(m_cholmodFactor->x);
+      if (m_cholmodFactor->is_super)
+      {
+        // Supernodal factorization stored as a packed list of dense column-major blocs,
+        // as described by the following structure:
+
+        // super[k] == index of the first column of the j-th super node
+        StorageIndex *super = static_cast<StorageIndex*>(m_cholmodFactor->super);
+        // pi[k] == offset to the description of row indices
+        StorageIndex *pi = static_cast<StorageIndex*>(m_cholmodFactor->pi);
+        // px[k] == offset to the respective dense block
+        StorageIndex *px = static_cast<StorageIndex*>(m_cholmodFactor->px);
+
+        Index nb_super_nodes = m_cholmodFactor->nsuper;
+        for (Index k=0; k < nb_super_nodes; ++k)
+        {
+          StorageIndex ncols = super[k + 1] - super[k];
+          StorageIndex nrows = pi[k + 1] - pi[k];
+
+          Map<const Array<Scalar,1,Dynamic>, 0, InnerStride<> > sk(x + px[k], ncols, InnerStride<>(nrows+1));
+          logDet += sk.real().log().sum();
+        }
+      }
+      else
+      {
+        // Simplicial factorization stored as standard CSC matrix.
+        StorageIndex *p = static_cast<StorageIndex*>(m_cholmodFactor->p);
+        Index size = m_cholmodFactor->n;
+        for (Index k=0; k<size; ++k)
+          logDet += log(real( x[p[k]] ));
+      }
+      if (m_cholmodFactor->is_ll)
+        logDet *= 2.0;
+      return logDet;
+    };
+
+    template<typename Stream>
+    void dumpMemory(Stream& /*s*/)
+    {}
+    
+  protected:
+    mutable cholmod_common m_cholmod;
+    cholmod_factor* m_cholmodFactor;
+    double m_shiftOffset[2];
+    mutable ComputationInfo m_info;
+    int m_factorizationIsOk;
+    int m_analysisIsOk;
+};
+
+/** \ingroup CholmodSupport_Module
+  * \class CholmodSimplicialLLT
+  * \brief A simplicial direct Cholesky (LLT) factorization and solver based on Cholmod
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a simplicial LL^T Cholesky factorization
+  * using the Cholmod library.
+  * This simplicial variant is equivalent to Eigen's built-in SimplicialLLT class. Therefore, it has little practical interest.
+  * The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
+  * X and B can be either dense or sparse.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+  *               or Upper. Default is Lower.
+  *
+  * \implsparsesolverconcept
+  *
+  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
+  *
+  * \warning Only double precision real and complex scalar types are supported by Cholmod.
+  *
+  * \sa \ref TutorialSparseSolverConcept, class CholmodSupernodalLLT, class SimplicialLLT
+  */
+template<typename _MatrixType, int _UpLo = Lower>
+class CholmodSimplicialLLT : public CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLLT<_MatrixType, _UpLo> >
+{
+    typedef CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLLT> Base;
+    using Base::m_cholmod;
+    
+  public:
+    
+    typedef _MatrixType MatrixType;
+    
+    CholmodSimplicialLLT() : Base() { init(); }
+
+    CholmodSimplicialLLT(const MatrixType& matrix) : Base()
+    {
+      init();
+      this->compute(matrix);
+    }
+
+    ~CholmodSimplicialLLT() {}
+  protected:
+    void init()
+    {
+      m_cholmod.final_asis = 0;
+      m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
+      m_cholmod.final_ll = 1;
+    }
+};
+
+
+/** \ingroup CholmodSupport_Module
+  * \class CholmodSimplicialLDLT
+  * \brief A simplicial direct Cholesky (LDLT) factorization and solver based on Cholmod
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a simplicial LDL^T Cholesky factorization
+  * using the Cholmod library.
+  * This simplicial variant is equivalent to Eigen's built-in SimplicialLDLT class. Therefore, it has little practical interest.
+  * The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
+  * X and B can be either dense or sparse.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+  *               or Upper. Default is Lower.
+  *
+  * \implsparsesolverconcept
+  *
+  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
+  *
+  * \warning Only double precision real and complex scalar types are supported by Cholmod.
+  *
+  * \sa \ref TutorialSparseSolverConcept, class CholmodSupernodalLLT, class SimplicialLDLT
+  */
+template<typename _MatrixType, int _UpLo = Lower>
+class CholmodSimplicialLDLT : public CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLDLT<_MatrixType, _UpLo> >
+{
+    typedef CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLDLT> Base;
+    using Base::m_cholmod;
+    
+  public:
+    
+    typedef _MatrixType MatrixType;
+    
+    CholmodSimplicialLDLT() : Base() { init(); }
+
+    CholmodSimplicialLDLT(const MatrixType& matrix) : Base()
+    {
+      init();
+      this->compute(matrix);
+    }
+
+    ~CholmodSimplicialLDLT() {}
+  protected:
+    void init()
+    {
+      m_cholmod.final_asis = 1;
+      m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
+    }
+};
+
+/** \ingroup CholmodSupport_Module
+  * \class CholmodSupernodalLLT
+  * \brief A supernodal Cholesky (LLT) factorization and solver based on Cholmod
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a supernodal LL^T Cholesky factorization
+  * using the Cholmod library.
+  * This supernodal variant performs best on dense enough problems, e.g., 3D FEM, or very high order 2D FEM.
+  * The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
+  * X and B can be either dense or sparse.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+  *               or Upper. Default is Lower.
+  *
+  * \implsparsesolverconcept
+  *
+  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
+  *
+  * \warning Only double precision real and complex scalar types are supported by Cholmod.
+  *
+  * \sa \ref TutorialSparseSolverConcept
+  */
+template<typename _MatrixType, int _UpLo = Lower>
+class CholmodSupernodalLLT : public CholmodBase<_MatrixType, _UpLo, CholmodSupernodalLLT<_MatrixType, _UpLo> >
+{
+    typedef CholmodBase<_MatrixType, _UpLo, CholmodSupernodalLLT> Base;
+    using Base::m_cholmod;
+    
+  public:
+    
+    typedef _MatrixType MatrixType;
+    
+    CholmodSupernodalLLT() : Base() { init(); }
+
+    CholmodSupernodalLLT(const MatrixType& matrix) : Base()
+    {
+      init();
+      this->compute(matrix);
+    }
+
+    ~CholmodSupernodalLLT() {}
+  protected:
+    void init()
+    {
+      m_cholmod.final_asis = 1;
+      m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
+    }
+};
+
+/** \ingroup CholmodSupport_Module
+  * \class CholmodDecomposition
+  * \brief A general Cholesky factorization and solver based on Cholmod
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a LL^T or LDL^T Cholesky factorization
+  * using the Cholmod library. The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
+  * X and B can be either dense or sparse.
+  *
+  * This variant permits to change the underlying Cholesky method at runtime.
+  * On the other hand, it does not provide access to the result of the factorization.
+  * The default is to let Cholmod automatically choose between a simplicial and supernodal factorization.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+  *               or Upper. Default is Lower.
+  *
+  * \implsparsesolverconcept
+  *
+  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
+  *
+  * \warning Only double precision real and complex scalar types are supported by Cholmod.
+  *
+  * \sa \ref TutorialSparseSolverConcept
+  */
+template<typename _MatrixType, int _UpLo = Lower>
+class CholmodDecomposition : public CholmodBase<_MatrixType, _UpLo, CholmodDecomposition<_MatrixType, _UpLo> >
+{
+    typedef CholmodBase<_MatrixType, _UpLo, CholmodDecomposition> Base;
+    using Base::m_cholmod;
+    
+  public:
+    
+    typedef _MatrixType MatrixType;
+    
+    CholmodDecomposition() : Base() { init(); }
+
+    CholmodDecomposition(const MatrixType& matrix) : Base()
+    {
+      init();
+      this->compute(matrix);
+    }
+
+    ~CholmodDecomposition() {}
+    
+    void setMode(CholmodMode mode)
+    {
+      switch(mode)
+      {
+        case CholmodAuto:
+          m_cholmod.final_asis = 1;
+          m_cholmod.supernodal = CHOLMOD_AUTO;
+          break;
+        case CholmodSimplicialLLt:
+          m_cholmod.final_asis = 0;
+          m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
+          m_cholmod.final_ll = 1;
+          break;
+        case CholmodSupernodalLLt:
+          m_cholmod.final_asis = 1;
+          m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
+          break;
+        case CholmodLDLt:
+          m_cholmod.final_asis = 1;
+          m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
+          break;
+        default:
+          break;
+      }
+    }
+  protected:
+    void init()
+    {
+      m_cholmod.final_asis = 1;
+      m_cholmod.supernodal = CHOLMOD_AUTO;
+    }
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_CHOLMODSUPPORT_H

deps_src/eigen/Eigen/src/Core/Array.h

@@ -0,0 +1,329 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ARRAY_H
+#define EIGEN_ARRAY_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
+struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
+{
+  typedef ArrayXpr XprKind;
+  typedef ArrayBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > XprBase;
+};
+}
+
+/** \class Array
+  * \ingroup Core_Module
+  *
+  * \brief General-purpose arrays with easy API for coefficient-wise operations
+  *
+  * The %Array class is very similar to the Matrix class. It provides
+  * general-purpose one- and two-dimensional arrays. The difference between the
+  * %Array and the %Matrix class is primarily in the API: the API for the
+  * %Array class provides easy access to coefficient-wise operations, while the
+  * API for the %Matrix class provides easy access to linear-algebra
+  * operations.
+  *
+  * See documentation of class Matrix for detailed information on the template parameters
+  * storage layout.
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_ARRAY_PLUGIN.
+  *
+  * \sa \blank \ref TutorialArrayClass, \ref TopicClassHierarchy
+  */
+template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
+class Array
+  : public PlainObjectBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
+{
+  public:
+
+    typedef PlainObjectBase<Array> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Array)
+
+    enum { Options = _Options };
+    typedef typename Base::PlainObject PlainObject;
+
+  protected:
+    template <typename Derived, typename OtherDerived, bool IsVector>
+    friend struct internal::conservative_resize_like_impl;
+
+    using Base::m_storage;
+
+  public:
+
+    using Base::base;
+    using Base::coeff;
+    using Base::coeffRef;
+
+    /**
+      * The usage of
+      *   using Base::operator=;
+      * fails on MSVC. Since the code below is working with GCC and MSVC, we skipped
+      * the usage of 'using'. This should be done only for operator=.
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array& operator=(const EigenBase<OtherDerived> &other)
+    {
+      return Base::operator=(other);
+    }
+
+    /** Set all the entries to \a value.
+      * \sa DenseBase::setConstant(), DenseBase::fill()
+      */
+    /* This overload is needed because the usage of
+      *   using Base::operator=;
+      * fails on MSVC. Since the code below is working with GCC and MSVC, we skipped
+      * the usage of 'using'. This should be done only for operator=.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array& operator=(const Scalar &value)
+    {
+      Base::setConstant(value);
+      return *this;
+    }
+
+    /** Copies the value of the expression \a other into \c *this with automatic resizing.
+      *
+      * *this might be resized to match the dimensions of \a other. If *this was a null matrix (not already initialized),
+      * it will be initialized.
+      *
+      * Note that copying a row-vector into a vector (and conversely) is allowed.
+      * The resizing, if any, is then done in the appropriate way so that row-vectors
+      * remain row-vectors and vectors remain vectors.
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array& operator=(const DenseBase<OtherDerived>& other)
+    {
+      return Base::_set(other);
+    }
+
+    /** This is a special case of the templated operator=. Its purpose is to
+      * prevent a default operator= from hiding the templated operator=.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array& operator=(const Array& other)
+    {
+      return Base::_set(other);
+    }
+    
+    /** Default constructor.
+      *
+      * For fixed-size matrices, does nothing.
+      *
+      * For dynamic-size matrices, creates an empty matrix of size 0. Does not allocate any array. Such a matrix
+      * is called a null matrix. This constructor is the unique way to create null matrices: resizing
+      * a matrix to 0 is not supported.
+      *
+      * \sa resize(Index,Index)
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array() : Base()
+    {
+      Base::_check_template_params();
+      EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+    }
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    // FIXME is it still needed ??
+    /** \internal */
+    EIGEN_DEVICE_FUNC
+    Array(internal::constructor_without_unaligned_array_assert)
+      : Base(internal::constructor_without_unaligned_array_assert())
+    {
+      Base::_check_template_params();
+      EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+    }
+#endif
+
+#if EIGEN_HAS_RVALUE_REFERENCES
+    EIGEN_DEVICE_FUNC
+    Array(Array&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_constructible<Scalar>::value)
+      : Base(std::move(other))
+    {
+      Base::_check_template_params();
+    }
+    EIGEN_DEVICE_FUNC
+    Array& operator=(Array&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_assignable<Scalar>::value)
+    {
+      other.swap(*this);
+      return *this;
+    }
+#endif
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE explicit Array(const T& x)
+    {
+      Base::_check_template_params();
+      Base::template _init1<T>(x);
+    }
+
+    template<typename T0, typename T1>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array(const T0& val0, const T1& val1)
+    {
+      Base::_check_template_params();
+      this->template _init2<T0,T1>(val0, val1);
+    }
+    #else
+    /** \brief Constructs a fixed-sized array initialized with coefficients starting at \a data */
+    EIGEN_DEVICE_FUNC explicit Array(const Scalar *data);
+    /** Constructs a vector or row-vector with given dimension. \only_for_vectors
+      *
+      * Note that this is only useful for dynamic-size vectors. For fixed-size vectors,
+      * it is redundant to pass the dimension here, so it makes more sense to use the default
+      * constructor Array() instead.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE explicit Array(Index dim);
+    /** constructs an initialized 1x1 Array with the given coefficient */
+    Array(const Scalar& value);
+    /** constructs an uninitialized array with \a rows rows and \a cols columns.
+      *
+      * This is useful for dynamic-size arrays. For fixed-size arrays,
+      * it is redundant to pass these parameters, so one should use the default constructor
+      * Array() instead. */
+    Array(Index rows, Index cols);
+    /** constructs an initialized 2D vector with given coefficients */
+    Array(const Scalar& val0, const Scalar& val1);
+    #endif
+
+    /** constructs an initialized 3D vector with given coefficients */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2)
+    {
+      Base::_check_template_params();
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Array, 3)
+      m_storage.data()[0] = val0;
+      m_storage.data()[1] = val1;
+      m_storage.data()[2] = val2;
+    }
+    /** constructs an initialized 4D vector with given coefficients */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2, const Scalar& val3)
+    {
+      Base::_check_template_params();
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Array, 4)
+      m_storage.data()[0] = val0;
+      m_storage.data()[1] = val1;
+      m_storage.data()[2] = val2;
+      m_storage.data()[3] = val3;
+    }
+
+    /** Copy constructor */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array(const Array& other)
+            : Base(other)
+    { }
+
+  private:
+    struct PrivateType {};
+  public:
+
+    /** \sa MatrixBase::operator=(const EigenBase<OtherDerived>&) */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array(const EigenBase<OtherDerived> &other,
+                              typename internal::enable_if<internal::is_convertible<typename OtherDerived::Scalar,Scalar>::value,
+                                                           PrivateType>::type = PrivateType())
+      : Base(other.derived())
+    { }
+
+    EIGEN_DEVICE_FUNC inline Index innerStride() const { return 1; }
+    EIGEN_DEVICE_FUNC inline Index outerStride() const { return this->innerSize(); }
+
+    #ifdef EIGEN_ARRAY_PLUGIN
+    #include EIGEN_ARRAY_PLUGIN
+    #endif
+
+  private:
+
+    template<typename MatrixType, typename OtherDerived, bool SwapPointers>
+    friend struct internal::matrix_swap_impl;
+};
+
+/** \defgroup arraytypedefs Global array typedefs
+  * \ingroup Core_Module
+  *
+  * Eigen defines several typedef shortcuts for most common 1D and 2D array types.
+  *
+  * The general patterns are the following:
+  *
+  * \c ArrayRowsColsType where \c Rows and \c Cols can be \c 2,\c 3,\c 4 for fixed size square matrices or \c X for dynamic size,
+  * and where \c Type can be \c i for integer, \c f for float, \c d for double, \c cf for complex float, \c cd
+  * for complex double.
+  *
+  * For example, \c Array33d is a fixed-size 3x3 array type of doubles, and \c ArrayXXf is a dynamic-size matrix of floats.
+  *
+  * There are also \c ArraySizeType which are self-explanatory. For example, \c Array4cf is
+  * a fixed-size 1D array of 4 complex floats.
+  *
+  * \sa class Array
+  */
+
+#define EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, Size, SizeSuffix)   \
+/** \ingroup arraytypedefs */                                    \
+typedef Array<Type, Size, Size> Array##SizeSuffix##SizeSuffix##TypeSuffix;  \
+/** \ingroup arraytypedefs */                                    \
+typedef Array<Type, Size, 1>    Array##SizeSuffix##TypeSuffix;
+
+#define EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, Size)         \
+/** \ingroup arraytypedefs */                                    \
+typedef Array<Type, Size, Dynamic> Array##Size##X##TypeSuffix;  \
+/** \ingroup arraytypedefs */                                    \
+typedef Array<Type, Dynamic, Size> Array##X##Size##TypeSuffix;
+
+#define EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
+EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 2, 2) \
+EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 3, 3) \
+EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 4, 4) \
+EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, Dynamic, X) \
+EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 2) \
+EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 3) \
+EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 4)
+
+EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(int,                  i)
+EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(float,                f)
+EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(double,               d)
+EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(std::complex<float>,  cf)
+EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
+
+#undef EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES
+#undef EIGEN_MAKE_ARRAY_TYPEDEFS
+
+#undef EIGEN_MAKE_ARRAY_TYPEDEFS_LARGE
+
+#define EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, SizeSuffix) \
+using Eigen::Matrix##SizeSuffix##TypeSuffix; \
+using Eigen::Vector##SizeSuffix##TypeSuffix; \
+using Eigen::RowVector##SizeSuffix##TypeSuffix;
+
+#define EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(TypeSuffix) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 2) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 3) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 4) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, X) \
+
+#define EIGEN_USING_ARRAY_TYPEDEFS \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(i) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(f) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(d) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cf) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cd)
+
+} // end namespace Eigen
+
+#endif // EIGEN_ARRAY_H

deps_src/eigen/Eigen/src/Core/ArrayBase.h

@@ -0,0 +1,226 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ARRAYBASE_H
+#define EIGEN_ARRAYBASE_H
+
+namespace Eigen { 
+
+template<typename ExpressionType> class MatrixWrapper;
+
+/** \class ArrayBase
+  * \ingroup Core_Module
+  *
+  * \brief Base class for all 1D and 2D array, and related expressions
+  *
+  * An array is similar to a dense vector or matrix. While matrices are mathematical
+  * objects with well defined linear algebra operators, an array is just a collection
+  * of scalar values arranged in a one or two dimensionnal fashion. As the main consequence,
+  * all operations applied to an array are performed coefficient wise. Furthermore,
+  * arrays support scalar math functions of the c++ standard library (e.g., std::sin(x)), and convenient
+  * constructors allowing to easily write generic code working for both scalar values
+  * and arrays.
+  *
+  * This class is the base that is inherited by all array expression types.
+  *
+  * \tparam Derived is the derived type, e.g., an array or an expression type.
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_ARRAYBASE_PLUGIN.
+  *
+  * \sa class MatrixBase, \ref TopicClassHierarchy
+  */
+template<typename Derived> class ArrayBase
+  : public DenseBase<Derived>
+{
+  public:
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** The base class for a given storage type. */
+    typedef ArrayBase StorageBaseType;
+
+    typedef ArrayBase Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl;
+
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    typedef DenseBase<Derived> Base;
+    using Base::RowsAtCompileTime;
+    using Base::ColsAtCompileTime;
+    using Base::SizeAtCompileTime;
+    using Base::MaxRowsAtCompileTime;
+    using Base::MaxColsAtCompileTime;
+    using Base::MaxSizeAtCompileTime;
+    using Base::IsVectorAtCompileTime;
+    using Base::Flags;
+    
+    using Base::derived;
+    using Base::const_cast_derived;
+    using Base::rows;
+    using Base::cols;
+    using Base::size;
+    using Base::coeff;
+    using Base::coeffRef;
+    using Base::lazyAssign;
+    using Base::operator=;
+    using Base::operator+=;
+    using Base::operator-=;
+    using Base::operator*=;
+    using Base::operator/=;
+
+    typedef typename Base::CoeffReturnType CoeffReturnType;
+
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    typedef typename Base::PlainObject PlainObject;
+
+    /** \internal Represents a matrix with all coefficients equal to one another*/
+    typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,PlainObject> ConstantReturnType;
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::ArrayBase
+#define EIGEN_DOC_UNARY_ADDONS(X,Y)
+#   include "../plugins/CommonCwiseUnaryOps.h"
+#   include "../plugins/MatrixCwiseUnaryOps.h"
+#   include "../plugins/ArrayCwiseUnaryOps.h"
+#   include "../plugins/CommonCwiseBinaryOps.h"
+#   include "../plugins/MatrixCwiseBinaryOps.h"
+#   include "../plugins/ArrayCwiseBinaryOps.h"
+#   ifdef EIGEN_ARRAYBASE_PLUGIN
+#     include EIGEN_ARRAYBASE_PLUGIN
+#   endif
+#undef EIGEN_CURRENT_STORAGE_BASE_CLASS
+#undef EIGEN_DOC_UNARY_ADDONS
+
+    /** Special case of the template operator=, in order to prevent the compiler
+      * from generating a default operator= (issue hit with g++ 4.1)
+      */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator=(const ArrayBase& other)
+    {
+      internal::call_assignment(derived(), other.derived());
+      return derived();
+    }
+    
+    /** Set all the entries to \a value.
+      * \sa DenseBase::setConstant(), DenseBase::fill() */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator=(const Scalar &value)
+    { Base::setConstant(value); return derived(); }
+
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator+=(const Scalar& scalar);
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator-=(const Scalar& scalar);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator+=(const ArrayBase<OtherDerived>& other);
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator-=(const ArrayBase<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator*=(const ArrayBase<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator/=(const ArrayBase<OtherDerived>& other);
+
+  public:
+    EIGEN_DEVICE_FUNC
+    ArrayBase<Derived>& array() { return *this; }
+    EIGEN_DEVICE_FUNC
+    const ArrayBase<Derived>& array() const { return *this; }
+
+    /** \returns an \link Eigen::MatrixBase Matrix \endlink expression of this array
+      * \sa MatrixBase::array() */
+    EIGEN_DEVICE_FUNC
+    MatrixWrapper<Derived> matrix() { return MatrixWrapper<Derived>(derived()); }
+    EIGEN_DEVICE_FUNC
+    const MatrixWrapper<const Derived> matrix() const { return MatrixWrapper<const Derived>(derived()); }
+
+//     template<typename Dest>
+//     inline void evalTo(Dest& dst) const { dst = matrix(); }
+
+  protected:
+    EIGEN_DEVICE_FUNC
+    ArrayBase() : Base() {}
+
+  private:
+    explicit ArrayBase(Index);
+    ArrayBase(Index,Index);
+    template<typename OtherDerived> explicit ArrayBase(const ArrayBase<OtherDerived>&);
+  protected:
+    // mixing arrays and matrices is not legal
+    template<typename OtherDerived> Derived& operator+=(const MatrixBase<OtherDerived>& )
+    {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
+    // mixing arrays and matrices is not legal
+    template<typename OtherDerived> Derived& operator-=(const MatrixBase<OtherDerived>& )
+    {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
+};
+
+/** replaces \c *this by \c *this - \a other.
+  *
+  * \returns a reference to \c *this
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
+ArrayBase<Derived>::operator-=(const ArrayBase<OtherDerived> &other)
+{
+  call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+/** replaces \c *this by \c *this + \a other.
+  *
+  * \returns a reference to \c *this
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
+ArrayBase<Derived>::operator+=(const ArrayBase<OtherDerived>& other)
+{
+  call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+/** replaces \c *this by \c *this * \a other coefficient wise.
+  *
+  * \returns a reference to \c *this
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
+ArrayBase<Derived>::operator*=(const ArrayBase<OtherDerived>& other)
+{
+  call_assignment(derived(), other.derived(), internal::mul_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+/** replaces \c *this by \c *this / \a other coefficient wise.
+  *
+  * \returns a reference to \c *this
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
+ArrayBase<Derived>::operator/=(const ArrayBase<OtherDerived>& other)
+{
+  call_assignment(derived(), other.derived(), internal::div_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_ARRAYBASE_H

deps_src/eigen/Eigen/src/Core/ArrayWrapper.h

@@ -0,0 +1,209 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ARRAYWRAPPER_H
+#define EIGEN_ARRAYWRAPPER_H
+
+namespace Eigen { 
+
+/** \class ArrayWrapper
+  * \ingroup Core_Module
+  *
+  * \brief Expression of a mathematical vector or matrix as an array object
+  *
+  * This class is the return type of MatrixBase::array(), and most of the time
+  * this is the only way it is use.
+  *
+  * \sa MatrixBase::array(), class MatrixWrapper
+  */
+
+namespace internal {
+template<typename ExpressionType>
+struct traits<ArrayWrapper<ExpressionType> >
+  : public traits<typename remove_all<typename ExpressionType::Nested>::type >
+{
+  typedef ArrayXpr XprKind;
+  // Let's remove NestByRefBit
+  enum {
+    Flags0 = traits<typename remove_all<typename ExpressionType::Nested>::type >::Flags,
+    LvalueBitFlag = is_lvalue<ExpressionType>::value ? LvalueBit : 0,
+    Flags = (Flags0 & ~(NestByRefBit | LvalueBit)) | LvalueBitFlag
+  };
+};
+}
+
+template<typename ExpressionType>
+class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
+{
+  public:
+    typedef ArrayBase<ArrayWrapper> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(ArrayWrapper)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(ArrayWrapper)
+    typedef typename internal::remove_all<ExpressionType>::type NestedExpression;
+
+    typedef typename internal::conditional<
+                       internal::is_lvalue<ExpressionType>::value,
+                       Scalar,
+                       const Scalar
+                     >::type ScalarWithConstIfNotLvalue;
+
+    typedef typename internal::ref_selector<ExpressionType>::non_const_type NestedExpressionType;
+
+    using Base::coeffRef;
+
+    EIGEN_DEVICE_FUNC
+    explicit EIGEN_STRONG_INLINE ArrayWrapper(ExpressionType& matrix) : m_expression(matrix) {}
+
+    EIGEN_DEVICE_FUNC
+    inline Index rows() const { return m_expression.rows(); }
+    EIGEN_DEVICE_FUNC
+    inline Index cols() const { return m_expression.cols(); }
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const { return m_expression.outerStride(); }
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const { return m_expression.innerStride(); }
+
+    EIGEN_DEVICE_FUNC
+    inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
+    EIGEN_DEVICE_FUNC
+    inline const Scalar* data() const { return m_expression.data(); }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index rowId, Index colId) const
+    {
+      return m_expression.coeffRef(rowId, colId);
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index index) const
+    {
+      return m_expression.coeffRef(index);
+    }
+
+    template<typename Dest>
+    EIGEN_DEVICE_FUNC
+    inline void evalTo(Dest& dst) const { dst = m_expression; }
+
+    const typename internal::remove_all<NestedExpressionType>::type& 
+    EIGEN_DEVICE_FUNC
+    nestedExpression() const 
+    {
+      return m_expression;
+    }
+
+    /** Forwards the resizing request to the nested expression
+      * \sa DenseBase::resize(Index)  */
+    EIGEN_DEVICE_FUNC
+    void resize(Index newSize) { m_expression.resize(newSize); }
+    /** Forwards the resizing request to the nested expression
+      * \sa DenseBase::resize(Index,Index)*/
+    EIGEN_DEVICE_FUNC
+    void resize(Index rows, Index cols) { m_expression.resize(rows,cols); }
+
+  protected:
+    NestedExpressionType m_expression;
+};
+
+/** \class MatrixWrapper
+  * \ingroup Core_Module
+  *
+  * \brief Expression of an array as a mathematical vector or matrix
+  *
+  * This class is the return type of ArrayBase::matrix(), and most of the time
+  * this is the only way it is use.
+  *
+  * \sa MatrixBase::matrix(), class ArrayWrapper
+  */
+
+namespace internal {
+template<typename ExpressionType>
+struct traits<MatrixWrapper<ExpressionType> >
+ : public traits<typename remove_all<typename ExpressionType::Nested>::type >
+{
+  typedef MatrixXpr XprKind;
+  // Let's remove NestByRefBit
+  enum {
+    Flags0 = traits<typename remove_all<typename ExpressionType::Nested>::type >::Flags,
+    LvalueBitFlag = is_lvalue<ExpressionType>::value ? LvalueBit : 0,
+    Flags = (Flags0 & ~(NestByRefBit | LvalueBit)) | LvalueBitFlag
+  };
+};
+}
+
+template<typename ExpressionType>
+class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
+{
+  public:
+    typedef MatrixBase<MatrixWrapper<ExpressionType> > Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(MatrixWrapper)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(MatrixWrapper)
+    typedef typename internal::remove_all<ExpressionType>::type NestedExpression;
+
+    typedef typename internal::conditional<
+                       internal::is_lvalue<ExpressionType>::value,
+                       Scalar,
+                       const Scalar
+                     >::type ScalarWithConstIfNotLvalue;
+
+    typedef typename internal::ref_selector<ExpressionType>::non_const_type NestedExpressionType;
+
+    using Base::coeffRef;
+
+    EIGEN_DEVICE_FUNC
+    explicit inline MatrixWrapper(ExpressionType& matrix) : m_expression(matrix) {}
+
+    EIGEN_DEVICE_FUNC
+    inline Index rows() const { return m_expression.rows(); }
+    EIGEN_DEVICE_FUNC
+    inline Index cols() const { return m_expression.cols(); }
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const { return m_expression.outerStride(); }
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const { return m_expression.innerStride(); }
+
+    EIGEN_DEVICE_FUNC
+    inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
+    EIGEN_DEVICE_FUNC
+    inline const Scalar* data() const { return m_expression.data(); }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index rowId, Index colId) const
+    {
+      return m_expression.derived().coeffRef(rowId, colId);
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index index) const
+    {
+      return m_expression.coeffRef(index);
+    }
+
+    EIGEN_DEVICE_FUNC
+    const typename internal::remove_all<NestedExpressionType>::type& 
+    nestedExpression() const 
+    {
+      return m_expression;
+    }
+
+    /** Forwards the resizing request to the nested expression
+      * \sa DenseBase::resize(Index)  */
+    EIGEN_DEVICE_FUNC
+    void resize(Index newSize) { m_expression.resize(newSize); }
+    /** Forwards the resizing request to the nested expression
+      * \sa DenseBase::resize(Index,Index)*/
+    EIGEN_DEVICE_FUNC
+    void resize(Index rows, Index cols) { m_expression.resize(rows,cols); }
+
+  protected:
+    NestedExpressionType m_expression;
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_ARRAYWRAPPER_H

deps_src/eigen/Eigen/src/Core/Assign.h

@@ -0,0 +1,90 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2007 Michael Olbrich <michael.olbrich@gmx.net>
+// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ASSIGN_H
+#define EIGEN_ASSIGN_H
+
+namespace Eigen {
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE Derived& DenseBase<Derived>
+  ::lazyAssign(const DenseBase<OtherDerived>& other)
+{
+  enum{
+    SameType = internal::is_same<typename Derived::Scalar,typename OtherDerived::Scalar>::value
+  };
+
+  EIGEN_STATIC_ASSERT_LVALUE(Derived)
+  EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Derived,OtherDerived)
+  EIGEN_STATIC_ASSERT(SameType,YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+
+  eigen_assert(rows() == other.rows() && cols() == other.cols());
+  internal::call_assignment_no_alias(derived(),other.derived());
+  
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator=(const DenseBase<OtherDerived>& other)
+{
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator=(const DenseBase& other)
+{
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const MatrixBase& other)
+{
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+template <typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const DenseBase<OtherDerived>& other)
+{
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+template <typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const EigenBase<OtherDerived>& other)
+{
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const ReturnByValue<OtherDerived>& other)
+{
+  other.derived().evalTo(derived());
+  return derived();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_ASSIGN_H