fix(build): sync GLCanvas3D.hpp render_overlay/is_camera_* signatures with ImageMap cpp

PrintConfig.hpp: add wall_filament and solid_infill_filament config fields
that ImageMap's Fill.cpp uses for texture zone filament assignment.

Fill.cpp: wrap 2D Polyline in Polyline3() constructor where ExtrusionPath::polyline
(now Polyline3 from ZAA) is assigned from locally created 2D paths.
Fix boundary-skin helper functions to accept Polyline3 instead of Polyline.
Use to_points() to convert Points3 to Points for Polygon constructor.

.github/workflows/assign.yml

@@ -1,6 +1,11 @@
 name: Assign Issue
 
-on: {}
+on:
+  schedule:
+    - cron: 0 0 * * *
+  issue_comment:
+    types: [created]
+  workflow_dispatch:
 
 jobs:
   assign:

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

@@ -1,6 +1,9 @@
 name: Auto-close duplicate issues
 description: Auto-closes issues that are duplicates of existing issues
-on: {}
+on:
+  schedule:
+    - cron: "0 9 * * *"
+  workflow_dispatch:
 
 jobs:
   auto-close-duplicates:

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

@@ -1,7 +1,22 @@
 name: Backfill Duplicate Comments
 description: Triggers duplicate detection for old issues that don't have duplicate comments
 
-on: {}
+on:
+  workflow_dispatch:
+    inputs:
+      days_back:
+        description: 'How many days back to look for old issues'
+        required: false
+        default: '90'
+        type: string
+      dry_run:
+        description: 'Dry run mode (true to only log what would be done)'
+        required: false
+        default: 'true'
+        type: choice
+        options:
+          - 'true'
+          - 'false'
 
 jobs:
   backfill-duplicate-comments:

.github/workflows/build_all.yml

@@ -1,209 +1,269 @@
-name: Build all
-
-on: {}
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event_name }}-${{ github.event.pull_request.number || github.ref }}
-  cancel-in-progress: true
-  
-
-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 }}
-      build-deps-only: ${{ inputs.build-deps-only || false }}
-    secrets: inherit
-  build_windows:
-    # 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: ${{ vars.SELF_HOSTED && 'orca-win-server' || 'windows-latest' }}
-      build-deps-only: ${{ inputs.build-deps-only || false }}
-      force-build: ${{ github.event_name == 'schedule' }}
-    secrets: inherit
-  build_macos_arch:
-    strategy:
-      fail-fast: false
-      matrix:
-        arch:
-          - arm64
-          - x86_64
-    # 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: ${{ vars.SELF_HOSTED && 'orca-macos-arm64' || 'macos-14' }}
-      arch: ${{ matrix.arch }}
-      build-deps-only: ${{ inputs.build-deps-only || false }}
-      force-build: ${{ github.event_name == 'schedule' }}
-    secrets: inherit
-  build_macos_universal:
-    name: Build macOS Universal
-    needs: build_macos_arch
-    if: ${{ !cancelled() && needs.build_macos_arch.result == 'success' && !inputs.build-deps-only && (github.event_name != 'schedule' || github.repository == 'OrcaSlicer/OrcaSlicer') }}
-    uses: ./.github/workflows/build_orca.yml
-    with:
-      os: ${{ vars.SELF_HOSTED && 'orca-macos-arm64' || 'macos-14' }}
-      arch: universal
-      macos-combine-only: true
-    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' }}
-    needs: build_linux
-    if: ${{ !cancelled() && success() }}
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v6
-        with:
-          sparse-checkout: |
-            .github
-            scripts
-            tests
-      - name: Apt-Install Dependencies
-        if: ${{ !vars.SELF_HOSTED }}
-        uses: ./.github/actions/apt-install-deps
-      - name: Restore Test Artifact
-        uses: actions/download-artifact@v8
-        with:
-          name: ${{ github.sha }}-tests
-      - uses: lukka/get-cmake@latest
-        with:
-          cmakeVersion: "~4.3.0"  # use most recent 4.3.x version
-          useLocalCache: true         # <--= Use the local cache (default is 'false').
-          useCloudCache: true
-      - name: Unpackage and Run Unit Tests
-        timeout-minutes: 20
-        run: |
-          tar -xvf build_tests.tar
-          scripts/run_unit_tests.sh
-      - name: Upload Test Logs
-        uses: actions/upload-artifact@v7
-        if: ${{ failure() }}
-        with:
-          name: unit-test-logs
-          path: build/tests/**/*.log
-      - name: Publish Test Results
-        if: always()
-        uses: EnricoMi/publish-unit-test-result-action@v2
-        with:
-          files: "ctest_results.xml"
-      - name: Delete Test Artifact
-        if: success()
-        uses: geekyeggo/delete-artifact@v6
-        with:
-          name: ${{ github.sha }}-tests
-  flatpak:
-    name: "Flatpak"
-    container:
-      image: ghcr.io/flathub-infra/flatpak-github-actions:gnome-50
-      options: --privileged
-      volumes:
-        - /usr/local/lib/android:/usr/local/lib/android
-        - /usr/share/dotnet:/usr/share/dotnet
-        - /opt/ghc:/opt/ghc1
-        - /usr/local/share/boost:/usr/local/share/boost1
-        - /opt/hostedtoolcache:/opt/hostedtoolcache1
-    strategy:
-      fail-fast: false
-      matrix:
-        variant:
-          - arch: x86_64
-            runner: ubuntu-24.04
-          - arch: aarch64
-            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: ${{ matrix.variant.runner }}
-    env:
-      date:
-      ver:
-      ver_pure:
-    steps:
-    - name: "Remove unneeded stuff to free disk space"
-      run:
-        rm -rf /usr/local/lib/android/* /usr/share/dotnet/* /opt/ghc1/* "/usr/local/share/boost1/*" /opt/hostedtoolcache1/*
-    - uses: actions/checkout@v6
-    - name: Get the version and date
-      run: |
-        ver_pure=$(grep 'set(SoftFever_VERSION' version.inc | cut -d '"' -f2)
-        if [[ "${{ github.event_name }}" == "pull_request" ]]; then
-          ver="PR-${{ github.event.number }}"
-          git_commit_hash="${{ github.event.pull_request.head.sha }}"
-        else
-          ver=V$ver_pure
-          git_commit_hash="${{ github.sha }}"
-        fi
-        echo "ver=$ver" >> $GITHUB_ENV
-        echo "ver_pure=$ver_pure" >> $GITHUB_ENV
-        echo "date=$(date +'%Y%m%d')" >> $GITHUB_ENV
-        echo "git_commit_hash=$git_commit_hash" >> $GITHUB_ENV
-      shell: bash
-    # Manage flatpak-builder cache externally so PRs restore but never upload
-    - name: Restore flatpak-builder cache
-      if: github.event_name == 'pull_request'
-      uses: actions/cache/restore@v5
-      with:
-        path: .flatpak-builder
-        key: flatpak-builder-${{ 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@v5
-      with:
-        path: .flatpak-builder
-        key: flatpak-builder-${{ matrix.variant.arch }}-${{ github.sha }}
-        restore-keys: flatpak-builder-${{ matrix.variant.arch }}-
-    - name: Disable debug info for faster CI builds
-      run: |
-        sed -i '/^build-options:/a\  no-debuginfo: true\n  strip: true' \
-          scripts/flatpak/com.orcaslicer.OrcaSlicer.yml
-      shell: bash
-    - name: Inject git commit hash into Flatpak manifest
-      run: |
-        sed -i "/name: OrcaSlicer/{n;s|buildsystem: simple|buildsystem: simple\n    build-options:\n      env:\n        git_commit_hash: \"$git_commit_hash\"|}" \
-          scripts/flatpak/com.orcaslicer.OrcaSlicer.yml
-      shell: bash
-    - uses: flatpak/flatpak-github-actions/flatpak-builder@master
-      with:
-        bundle: OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak
-        manifest-path: scripts/flatpak/com.orcaslicer.OrcaSlicer.yml
-        cache: false
-        arch: ${{ matrix.variant.arch }}
-        upload-artifact: false
-    - name: Upload artifacts Flatpak
-      uses: actions/upload-artifact@v7
-      with:
-        name: OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak
-        path: '/__w/OrcaSlicer/OrcaSlicer/OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak'
-    - name: Deploy Flatpak to nightly release
-      if: github.repository == 'OrcaSlicer/OrcaSlicer' && github.ref == 'refs/heads/main'
-      uses: WebFreak001/deploy-nightly@v3.2.0
-      with:
-        upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}
-        release_id: 137995723
-        asset_path: /__w/OrcaSlicer/OrcaSlicer/OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak
-        asset_name: OrcaSlicer-Linux-flatpak_nightly_${{ 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
+name: Build all
+
+on:
+  push:
+    branches:
+     - main
+     - release/*
+     - belt-printer
+    paths:
+     - 'deps/**'
+     - 'src/**'
+     - '**/CMakeLists.txt'
+     - 'version.inc'
+     - 'localization/**'
+     - 'resources/**'
+     - ".github/workflows/build_*.yml"
+     - 'scripts/flatpak/**'
+     - 'scripts/msix/**'
+     - 'tests/**'
+
+  pull_request:
+    branches:
+     - main
+     - release/*
+    paths:
+     - 'deps/**'
+     - 'deps_src/**'
+     - 'src/**'
+     - '**/CMakeLists.txt'
+     - '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:
+      - cron: '0 17 * * *' # run once a day at 1 AM Singapore time (UTC+8)
+
+  workflow_dispatch: # allows for manual dispatch
+    inputs:
+      build-deps-only:
+        description: 'Only build dependencies (bypasses caching)'
+        type: boolean
+        default: false
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event_name }}-${{ github.event.pull_request.number || github.ref }}
+  cancel-in-progress: true
+  
+
+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 }}
+      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 }}
+      build-deps-only: ${{ inputs.build-deps-only || false }}
+      force-build: ${{ github.event_name == 'schedule' }}
+    secrets: inherit
+  build_macos_arch:
+    strategy:
+      fail-fast: false
+      matrix:
+        arch:
+          - arm64
+          - x86_64
+    # 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: ${{ vars.SELF_HOSTED && 'orca-macos-arm64' || 'macos-14' }}
+      arch: ${{ matrix.arch }}
+      build-deps-only: ${{ inputs.build-deps-only || false }}
+      force-build: ${{ github.event_name == 'schedule' }}
+    secrets: inherit
+  build_macos_universal:
+    name: Build macOS Universal
+    needs: build_macos_arch
+    if: ${{ !cancelled() && needs.build_macos_arch.result == 'success' && !inputs.build-deps-only && (github.event_name != 'schedule' || github.repository == 'OrcaSlicer/OrcaSlicer') }}
+    uses: ./.github/workflows/build_orca.yml
+    with:
+      os: ${{ vars.SELF_HOSTED && 'orca-macos-arm64' || 'macos-14' }}
+      arch: universal
+      macos-combine-only: true
+    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' }}
+    needs: build_linux
+    if: ${{ !cancelled() && success() }}
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          sparse-checkout: |
+            .github
+            scripts
+            tests
+      - name: Apt-Install Dependencies
+        if: ${{ !vars.SELF_HOSTED }}
+        uses: ./.github/actions/apt-install-deps
+      - name: Restore Test Artifact
+        uses: actions/download-artifact@v8
+        with:
+          name: ${{ github.sha }}-tests
+      - uses: lukka/get-cmake@latest
+        with:
+          cmakeVersion: "~4.3.0"  # use most recent 4.3.x version
+          useLocalCache: true         # <--= Use the local cache (default is 'false').
+          useCloudCache: true
+      - name: Unpackage and Run Unit Tests
+        timeout-minutes: 20
+        run: |
+          tar -xvf build_tests.tar
+          scripts/run_unit_tests.sh
+      - name: Upload Test Logs
+        uses: actions/upload-artifact@v7
+        if: ${{ failure() }}
+        with:
+          name: unit-test-logs
+          path: build/tests/**/*.log
+      - name: Publish Test Results
+        if: always()
+        uses: EnricoMi/publish-unit-test-result-action@v2
+        with:
+          files: "ctest_results.xml"
+      - name: Delete Test Artifact
+        if: success()
+        uses: geekyeggo/delete-artifact@v6
+        with:
+          name: ${{ github.sha }}-tests
+  flatpak:
+    name: "Flatpak"
+    container:
+      image: ghcr.io/flathub-infra/flatpak-github-actions:gnome-50
+      options: --privileged
+      volumes:
+        - /usr/local/lib/android:/usr/local/lib/android
+        - /usr/share/dotnet:/usr/share/dotnet
+        - /opt/ghc:/opt/ghc1
+        - /usr/local/share/boost:/usr/local/share/boost1
+        - /opt/hostedtoolcache:/opt/hostedtoolcache1
+    strategy:
+      fail-fast: false
+      matrix:
+        variant:
+          - arch: x86_64
+            runner: ubuntu-24.04
+          - arch: aarch64
+            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: ${{ github.ref == 'refs/heads/belt-printer' && '_belt' || '' }}
+    steps:
+    - name: "Remove unneeded stuff to free disk space"
+      run:
+        rm -rf /usr/local/lib/android/* /usr/share/dotnet/* /opt/ghc1/* "/usr/local/share/boost1/*" /opt/hostedtoolcache1/*
+    - uses: actions/checkout@v6
+    - name: Get the version and date
+      run: |
+        ver_pure=$(grep 'set(SoftFever_VERSION' version.inc | cut -d '"' -f2)
+        if [[ "${{ github.event_name }}" == "pull_request" ]]; then
+          ver="PR-${{ github.event.number }}"
+          git_commit_hash="${{ github.event.pull_request.head.sha }}"
+        else
+          ver=V$ver_pure
+          git_commit_hash="${{ github.sha }}"
+        fi
+        echo "ver=$ver" >> $GITHUB_ENV
+        echo "ver_pure=$ver_pure" >> $GITHUB_ENV
+        echo "date=$(date +'%Y%m%d')" >> $GITHUB_ENV
+        echo "git_commit_hash=$git_commit_hash" >> $GITHUB_ENV
+      shell: bash
+    # Manage flatpak-builder cache externally so PRs restore but never upload
+    - name: Restore flatpak-builder cache
+      if: github.event_name == 'pull_request'
+      uses: actions/cache/restore@v5
+      with:
+        path: .flatpak-builder
+        key: flatpak-builder-${{ 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@v5
+      with:
+        path: .flatpak-builder
+        key: flatpak-builder-${{ matrix.variant.arch }}-${{ github.sha }}
+        restore-keys: flatpak-builder-${{ matrix.variant.arch }}-
+    - name: Disable debug info for faster CI builds
+      run: |
+        sed -i '/^build-options:/a\  no-debuginfo: true\n  strip: true' \
+          scripts/flatpak/com.orcaslicer.OrcaSlicer.yml
+      shell: bash
+    - name: Inject git commit hash into Flatpak manifest
+      run: |
+        sed -i "/name: OrcaSlicer/{n;s|buildsystem: simple|buildsystem: simple\n    build-options:\n      env:\n        git_commit_hash: \"$git_commit_hash\"|}" \
+          scripts/flatpak/com.orcaslicer.OrcaSlicer.yml
+      shell: bash
+    - uses: flatpak/flatpak-github-actions/flatpak-builder@master
+      with:
+        bundle: OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak
+        manifest-path: scripts/flatpak/com.orcaslicer.OrcaSlicer.yml
+        cache: false
+        arch: ${{ matrix.variant.arch }}
+        upload-artifact: false
+    - name: Upload artifacts Flatpak
+      uses: actions/upload-artifact@v7
+      with:
+        name: OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak
+        path: '/__w/OrcaSlicer/OrcaSlicer/OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak'
+    - name: Deploy Flatpak to nightly release
+      if: github.repository == 'OrcaSlicer/OrcaSlicer' && (github.ref == 'refs/heads/main' || github.ref == 'refs/heads/belt-printer')
+      uses: WebFreak001/deploy-nightly@v3.2.0
+      with:
+        upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}
+        release_id: 137995723
+        asset_path: /__w/OrcaSlicer/OrcaSlicer/OrcaSlicer-Linux-flatpak_${{ env.ver }}_${{ matrix.variant.arch }}.flatpak
+        asset_name: OrcaSlicer-Linux-flatpak_nightly${{ env.nightly_suffix }}_${{ matrix.variant.arch }}.flatpak
+        asset_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

@@ -1,52 +1,82 @@
-name: Check Cache
-
-on: {}
+name: Check Cache
+
+on:
+  workflow_call:
+    inputs:
+      os:
+        required: true
+        type: string
+      arch:
+        required: false
+        type: string
+      build-deps-only:
+        required: false
+        type: boolean
+      force-build:
+        required: false
+        type: boolean
+      release-version:
+        required: false
+        type: string
+        default: ''
+      build_windows_installer:
+        required: false
+        type: boolean
+        default: false
+      build_without_pch_windows:
+        required: false
+        type: boolean
+        default: false
 
 jobs:
-  check_cache: # determines if there is a cache and outputs variables used in caching process
-    name: Check Cache
-    runs-on: ${{ inputs.os }}
-    outputs:
-      cache-key: ${{ steps.set_outputs.outputs.cache-key }}
-      cache-path: ${{ steps.set_outputs.outputs.cache-path }}
-      valid-cache: ${{ steps.cache_deps.outputs.cache-hit }}
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v6
-        with:
-          lfs: 'false'
-        
-      - name: set outputs
-        id: set_outputs
-        env:
-          # Keep macOS/Linux 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' && 'windows' || format('linux-clang{0}', inputs.arch && format('-{0}', inputs.arch) || '')) }}
-          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/**') }} >> ${{ env.output-cmd }}
-          echo cache-path=${{ github.workspace }}/deps/build${{ env.dep-folder-name }} >> ${{ env.output-cmd }}
-            
-      - name: load cache
-        id: cache_deps
-        uses: actions/cache@v5
-        with:
-          path: ${{ steps.set_outputs.outputs.cache-path }}
-          key: ${{ steps.set_outputs.outputs.cache-key }}
-          lookup-only: true
-        
-  build_deps: # call next step
-    name: Build Deps
-    needs: [check_cache]
-    uses: ./.github/workflows/build_deps.yml
-    with:
-      cache-key: ${{ needs.check_cache.outputs.cache-key }}
-      cache-path: ${{ needs.check_cache.outputs.cache-path }}
-      valid-cache: ${{ needs.check_cache.outputs.valid-cache == 'true' }}
-      os: ${{ inputs.os }}
-      arch: ${{ inputs.arch }}
+  check_cache: # determines if there is a cache and outputs variables used in caching process
+    name: Check Cache
+    runs-on: ${{ inputs.os }}
+    outputs:
+      cache-key: ${{ steps.set_outputs.outputs.cache-key }}
+      cache-path: ${{ steps.set_outputs.outputs.cache-path }}
+      valid-cache: ${{ steps.cache_deps.outputs.cache-hit }}
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          lfs: 'false'
+        
+      - 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' }}
+          output-cmd: ${{ runner.os == 'Windows' && '$env:GITHUB_OUTPUT' || '"$GITHUB_OUTPUT"'}}
+        run: |
+          echo cache-key=${{ env.cache-os }}-cache-orcaslicer_deps-build-${{ hashFiles('deps/**') }} >> ${{ env.output-cmd }}
+          echo cache-path=${{ github.workspace }}/deps/build${{ env.dep-folder-name }} >> ${{ env.output-cmd }}
+            
+      - name: load cache
+        id: cache_deps
+        uses: actions/cache@v5
+        with:
+          path: ${{ steps.set_outputs.outputs.cache-path }}
+          key: ${{ steps.set_outputs.outputs.cache-key }}
+          lookup-only: true
+        
+  build_deps: # call next step
+    name: Build Deps
+    needs: [check_cache]
+    uses: ./.github/workflows/build_deps.yml
+    with:
+      cache-key: ${{ needs.check_cache.outputs.cache-key }}
+      cache-path: ${{ needs.check_cache.outputs.cache-path }}
+      valid-cache: ${{ needs.check_cache.outputs.valid-cache == 'true' }}
+      os: ${{ inputs.os }}
+      arch: ${{ inputs.arch }}
       build-deps-only: ${{ inputs.build-deps-only }}
       force-build: ${{ inputs.force-build }}
+      release-version: ${{ inputs.release-version }}
+      build_windows_installer: ${{ inputs.build_windows_installer }}
+      build_without_pch_windows: ${{ inputs.build_without_pch_windows }}
     secrets: inherit

.github/workflows/build_deps.yml

@@ -1,4 +1,39 @@
-on: {}
+on:
+  workflow_call:
+    inputs:
+      cache-key:
+        required: true
+        type: string
+      cache-path:
+        required: true
+        type: string
+      valid-cache:
+        required: true
+        type: boolean
+      os:
+        required: true
+        type: string
+      arch:
+        required: false
+        type: string
+      build-deps-only:
+        required: false
+        type: boolean
+      force-build:
+        required: false
+        type: boolean
+      release-version:
+        required: false
+        type: string
+        default: ''
+      build_windows_installer:
+        required: false
+        type: boolean
+        default: false
+      build_without_pch_windows:
+        required: false
+        type: boolean
+        default: false
 
 jobs:
   build_deps:
@@ -22,11 +57,28 @@ jobs:
           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
@@ -42,6 +94,50 @@ 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 $REPO/deps/MPFR/mpfr/include/ || true
+
       # Build Dependencies
       - name: Build on Windows
         if: runner.os == 'Windows'
@@ -50,8 +146,14 @@ jobs:
             if (-not "${{ vars.SELF_HOSTED }}") {
               choco install strawberryperl
             }
-            .\build_release_vs.bat deps
-            .\build_release_vs.bat pack
+            $arch = "${{ 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
+            }
         shell: pwsh
 
       - name: Build on Mac ${{ inputs.arch }}
@@ -114,4 +216,7 @@ jobs:
       cache-path: ${{ inputs.cache-path }}
       os: ${{ inputs.os }}
       arch: ${{ inputs.arch }}
+      release-version: ${{ inputs.release-version }}
+      build_windows_installer: ${{ inputs.build_windows_installer }}
+      build_without_pch_windows: ${{ inputs.build_without_pch_windows }}
     secrets: inherit

.github/workflows/build_orca.yml

@@ -1,4 +1,22 @@
-on: {}
+on:
+    workflow_call:
+      inputs:
+        cache-key:
+          required: false
+          type: string
+        cache-path:
+          required: false
+          type: string
+        os:
+          required: true
+          type: string
+        arch:
+          required: false
+          type: string
+        macos-combine-only:
+          required: false
+          type: boolean
+          default: false
 
 jobs:
   build_orca:
@@ -11,6 +29,11 @@ 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
@@ -27,11 +50,28 @@ jobs:
           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: |
@@ -140,17 +180,9 @@ 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@v6
-        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' || startsWith(github.ref, 'refs/heads/release/')) && runner.os == 'macOS' && inputs.macos-combine-only
+        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
         working-directory: ${{ github.workspace }}
         env:
           BUILD_CERTIFICATE_BASE64: ${{ secrets.BUILD_CERTIFICATE_BASE64 }}
@@ -158,6 +190,8 @@ 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
@@ -180,7 +214,7 @@ 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
-          hdiutil create -volname "OrcaSlicer" -srcfolder ${{ github.workspace }}/build/universal/OrcaSlicer_dmg -ov -format UDZO OrcaSlicer_Mac_universal_${{ env.ver }}.dmg
+          retry 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
@@ -189,7 +223,7 @@ 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
-            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
+            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
             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
           
@@ -204,14 +238,16 @@ jobs:
           fi
 
       - name: Create DMG without notary
-        if: github.ref != 'refs/heads/main' && runner.os == 'macOS' && inputs.macos-combine-only
+        if: github.ref != 'refs/heads/main' && github.ref != 'refs/heads/belt-printer' && 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
-          hdiutil create -volname "OrcaSlicer" -srcfolder ${{ github.workspace }}/build/universal/OrcaSlicer_dmg -ov -format UDZO OrcaSlicer_Mac_universal_${{ env.ver }}.dmg
+          retry 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
@@ -219,9 +255,19 @@ 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
-            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
+            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
           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
@@ -238,13 +284,13 @@ jobs:
           if-no-files-found: ignore
 
       - name: Deploy Mac release
-        if: github.repository == 'OrcaSlicer/OrcaSlicer' && github.ref == 'refs/heads/main' && runner.os == 'macOS' && inputs.macos-combine-only && !vars.SELF_HOSTED
+        if: github.repository == 'OrcaSlicer/OrcaSlicer' && env.deploy_nightly == 'true' && 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.dmg
+          asset_name: OrcaSlicer_Mac_universal_nightly${{ env.nightly_suffix }}.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
 
@@ -260,6 +306,18 @@ 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
@@ -277,23 +335,28 @@ jobs:
         # env:
         #   WindowsSdkDir: 'C:\Program Files (x86)\Windows Kits\10\'
         #   WindowsSDKVersion: '10.0.26100.0\'
-        run: .\build_release_vs.bat slicer
+        run: |
+          $arch = "${{ inputs.arch }}"
+          if ($arch -eq "arm64") { .\build_release_vs.bat slicer arm64 } else { .\build_release_vs.bat slicer }
+        shell: pwsh
 
+      # 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 }}/build
+        working-directory: ${{ github.workspace }}/${{ env.BUILD_DIR }}
         run: |
           cpack -G NSIS
 
       - name: Pack app
         if: runner.os == 'Windows'
-        working-directory: ${{ github.workspace }}/build
+        working-directory: ${{ github.workspace }}/${{ env.BUILD_DIR }}
         shell: cmd
-        run: '"C:/Program Files/7-Zip/7z.exe" a -tzip OrcaSlicer_Windows_${{ env.ver }}_portable.zip ${{ github.workspace }}/build/OrcaSlicer'
+        run: '"C:/Program Files/7-Zip/7z.exe" a -tzip OrcaSlicer_Windows_${{ env.ver }}${{ env.ARCH_SUFFIX }}_portable.zip ${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer'
 
       - name: Pack PDB
-        if: runner.os == 'Windows' && !vars.SELF_HOSTED
-        working-directory: ${{ github.workspace }}/build/src/Release
+        if: runner.os == 'Windows' && inputs.arch != 'arm64' && !vars.SELF_HOSTED
+        working-directory: ${{ github.workspace }}/${{ env.BUILD_DIR }}/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'
 
@@ -301,54 +364,54 @@ jobs:
         if: runner.os == 'Windows'
         uses: actions/upload-artifact@v7
         with:
-          name: OrcaSlicer_Windows_${{ env.ver }}_portable
-          path: ${{ github.workspace }}/build/OrcaSlicer
+          name: OrcaSlicer_Windows_${{ env.ver }}${{ env.ARCH_SUFFIX }}_portable
+          path: ${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer
 
       - name: Upload artifacts Win installer
         if: runner.os == 'Windows' && !vars.SELF_HOSTED
         uses: actions/upload-artifact@v7
         with:
-          name: OrcaSlicer_Windows_${{ env.ver }}
-          path: ${{ github.workspace }}/build/OrcaSlicer*.exe
+          name: OrcaSlicer_Windows_${{ env.ver }}${{ env.ARCH_SUFFIX }}
+          path: ${{ github.workspace }}/${{ env.BUILD_DIR }}/OrcaSlicer*.exe
 
       - name: Upload artifacts Win PDB
-        if: runner.os == 'Windows' && !vars.SELF_HOSTED
+        if: runner.os == 'Windows' && inputs.arch != 'arm64' && !vars.SELF_HOSTED
         uses: actions/upload-artifact@v7
         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' && !vars.SELF_HOSTED
+        if: runner.os == 'Windows' && inputs.arch != 'arm64' && !vars.SELF_HOSTED
         uses: actions/upload-artifact@v7
         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' && github.ref == 'refs/heads/main' && runner.os == 'Windows' && !vars.SELF_HOSTED
+        if: github.repository == 'OrcaSlicer/OrcaSlicer' && env.deploy_nightly == 'true' && 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: ${{ github.workspace }}/build/OrcaSlicer_Windows_${{ env.ver }}_portable.zip
-          asset_name: OrcaSlicer_Windows_nightly_portable.zip
+          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_content_type: application/x-zip-compressed
           max_releases: 1
 
       - name: Deploy Windows release installer
-        if: github.repository == 'OrcaSlicer/OrcaSlicer' && github.ref == 'refs/heads/main' && runner.os == 'Windows' && !vars.SELF_HOSTED
+        if: github.repository == 'OrcaSlicer/OrcaSlicer' && env.deploy_nightly == 'true' && 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: ${{ github.workspace }}/build/OrcaSlicer_Windows_Installer_${{ env.ver }}.exe
-          asset_name: OrcaSlicer_Windows_Installer_nightly.exe
+          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_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' && !vars.SELF_HOSTED
+        if: github.repository == 'OrcaSlicer/OrcaSlicer' && github.ref == 'refs/heads/main' && runner.os == 'Windows' && inputs.arch != 'arm64' && !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}
@@ -364,8 +427,9 @@ jobs:
         shell: pwsh
         run: |
           ./scripts/msix/build_msix.ps1 `
-            -InstallDir "${{ github.workspace }}/build/OrcaSlicer" `
-            -OutputPath "${{ github.workspace }}/build/OrcaSlicer_Windows_MSIX_${{ env.ver }}.msix" `
+            -InstallDir "${{ 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 "${{ vars.ORCA_MSIX_PUBLISHER_DISPLAY_NAME || 'OrcaSlicer' }}"
@@ -374,8 +438,8 @@ jobs:
         if: runner.os == 'Windows' && !vars.SELF_HOSTED
         uses: actions/upload-artifact@v7
         with:
-          name: OrcaSlicer_Windows_MSIX_${{ env.ver }}
-          path: ${{ github.workspace }}/build/OrcaSlicer_Windows_MSIX_${{ env.ver }}.msix
+          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
@@ -447,13 +511,13 @@ jobs:
           path: './build/src/Release/OrcaSlicer_profile_validator'
 
       - name: Deploy Ubuntu release
-        if: ${{ github.repository == 'OrcaSlicer/OrcaSlicer' && ! env.ACT && github.ref == 'refs/heads/main' && runner.os == 'Linux' && !vars.SELF_HOSTED }}
+        if: ${{ github.repository == 'OrcaSlicer/OrcaSlicer' && ! env.ACT && env.deploy_nightly == 'true' && runner.os == 'Linux' && !vars.SELF_HOSTED }}
         uses: WebFreak001/deploy-nightly@v3.2.0
         with:
           upload_url: https://uploads.github.com/repos/OrcaSlicer/OrcaSlicer/releases/137995723/assets{?name,label}
           release_id: 137995723
           asset_path: ./build/OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}${{ env.arch_suffix }}_${{ env.ver }}.AppImage
-          asset_name: OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}${{ env.arch_suffix }}_nightly.AppImage
+          asset_name: OrcaSlicer_Linux_AppImage${{ env.ubuntu-ver-str }}${{ env.arch_suffix }}_nightly${{ env.nightly_suffix }}.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

.github/workflows/check_locale.yml

@@ -1,6 +1,12 @@
 name: Check locale
 
-on: {}
+on: 
+    pull_request:
+      branches: 
+       - main 
+      paths:
+       - 'localization/**'
+       - ".github/workflows/check_locale.yml"
 
 jobs:
   check_translation:

.github/workflows/check_profiles.yml

@@ -1,5 +1,18 @@
 name: Check profiles
-on: {}
+on:
+  pull_request:
+    branches:
+    - main
+    paths:
+    - 'resources/profiles/**'
+    - ".github/workflows/check_profiles.yml"
+
+  workflow_dispatch:
+    inputs:
+      logLevel:
+        description: 'Log level'
+        required: true
+        default: 'warning'
 
 permissions:
   contents: read
@@ -25,10 +38,10 @@ jobs:
       - name: Download
         working-directory: ${{ github.workspace }}
         run: |
-          curl -LJO https://github.com/SoftFever/Orca_tools/releases/download/1/OrcaSlicer_profile_validator
+          curl -L -o OrcaSlicer_profile_validator https://github.com/OrcaSlicer/OrcaSlicer/releases/download/nightly-builds/OrcaSlicer_profile_validator_Linux_Ubuntu2404_nightly
           chmod +x ./OrcaSlicer_profile_validator
 
-      # validate profiles
+      # Validate all system profiles.
       - name: validate system profiles
         id: validate_system
         continue-on-error: true
@@ -36,17 +49,115 @@ 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]}
 
       - name: validate custom presets
         id: validate_custom
         continue-on-error: true
         working-directory: ${{ github.workspace }}
         run: |
-          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 ${PIPESTATUS[0]}
+          fixtures_dir="${{ 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: ${{ always() && github.event_name == 'pull_request' }}
@@ -55,7 +166,7 @@ jobs:
           echo "${{ github.event.pull_request.number }}" > ${{ runner.temp }}/profile-check-results/pr_number.txt
 
       - name: Prepare comment artifact
-        if: ${{ always() && github.event_name == 'pull_request' && (steps.extra_json_check.outcome == 'failure' || steps.validate_system.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_filament_subtypes.outcome == 'failure' || steps.validate_custom.outcome == 'failure') }}
         run: |
           {
             # Marker matched by check_profiles_comment.yml to delete prior comments.
@@ -81,6 +192,15 @@ 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_custom.outcome }}" = "failure" ]; then
               echo "### Custom Preset Validation Failed"
               echo ""
@@ -103,7 +223,7 @@ jobs:
           retention-days: 1
 
       - name: Fail if any check failed
-        if: ${{ always() && (steps.extra_json_check.outcome == 'failure' || steps.validate_system.outcome == 'failure' || steps.validate_custom.outcome == 'failure') }}
+        if: ${{ always() && (steps.extra_json_check.outcome == 'failure' || steps.validate_system.outcome == 'failure' || steps.validate_filament_subtypes.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

@@ -2,7 +2,11 @@ name: Post profile check comment
 
 # NOTE: The workflow name in the 'workflows' filter below must match the 'name'
 # field in check_profiles.yml exactly. If that name changes, update it here too.
-on: {}
+on:
+  workflow_run:
+    workflows: ["Check profiles"]
+    types:
+      - completed
 
 permissions:
   pull-requests: write

.github/workflows/dedupe-issues.yml

@@ -1,6 +1,14 @@
 name: Orca Issue Dedupe
 description: Automatically dedupe GitHub issues using AI
-on: {}
+on:
+  issues:
+    types: [opened]
+  workflow_dispatch:
+    inputs:
+      issue_number:
+        description: 'Issue number to process for duplicate detection'
+        required: true
+        type: string
 
 jobs:
   dedupe-issues:

.github/workflows/doxygen-docs.yml

@@ -1,6 +1,9 @@
 name: Generate Doxygen Documentation
 
-on: {}
+on:
+  schedule:
+    - cron: '0 0 * * 1'  # Every Monday at midnight UTC
+  workflow_dispatch:      # Manual trigger
 
 concurrency:
   group: ${{ github.workflow }}

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

@@ -1,6 +1,13 @@
 name: PR Label Bot
 
-on: {}
+on:
+  pull_request_target:
+    types:
+      - opened
+      - reopened
+  issue_comment:
+    types:
+      - created
 
 permissions:
   contents: read
@@ -17,7 +24,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Ask PR author for label
-        uses: actions/github-script@v7
+        uses: actions/github-script@v9
         with:
           script: |
             function isPermissionDenied(error) {
@@ -81,7 +88,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Apply label command from PR author
-        uses: actions/github-script@v7
+        uses: actions/github-script@v9
         with:
           script: |
             function isPermissionDenied(error) {

.github/workflows/publish_release.yml

@@ -9,7 +9,17 @@ name: Publish to draft release
 # `RELEASE_PUBLISHER` repo variable (set to "SoftFever"). To allow someone else,
 # change that variable: gh variable set RELEASE_PUBLISHER --body "<login>".
 
-on: {}
+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)'
+        required: true
+        type: string
 
 permissions:
   contents: write   # upload release assets
@@ -82,9 +92,11 @@ jobs:
           # binaries are already unzipped. Copy the inner binary for each platform.
           # -type f is required (some artifact *folders* are named "*.flatpak").
 
-          # Windows installer: the .exe inside the installer artifact, NOT the
-          # orca-slicer.exe that lives in the portable app folder.
-          find artifacts -type f -name '*.exe' -path '*OrcaSlicer_Windows_*' ! -path '*_portable*' -exec cp -v {} upload/ \;
+          # 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.
@@ -94,15 +106,16 @@ jobs:
           # Windows debug symbols (PDB archive, for developers).
           find artifacts -type f -name 'Debug_PDB_*.7z' -exec cp -v {} upload/ \;
 
-          # Portable Windows build is an unzipped folder artifact; re-zip it to the
-          # released filename (this one stays a .zip on the release).
-          portable_dir=$(find artifacts -maxdepth 1 -type d -name 'OrcaSlicer_Windows_*_portable' | head -n1)
-          if [ -n "${portable_dir:-}" ]; then
-            ( cd "$portable_dir" && zip -qr "$GITHUB_WORKSPACE/upload/$(basename "$portable_dir").zip" . )
-            echo "Zipped portable -> $(basename "$portable_dir").zip"
-          else
+          # 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

.github/workflows/shellcheck.yml

@@ -1,4 +1,15 @@
-on: {}
+on:
+  push:
+    paths:
+      - '**.sh'
+      - 'scripts/linux.d/*'
+  pull_request:
+    paths:
+      - '**.sh'
+      - 'scripts/linux.d/*'
+  schedule:
+      - cron: '55 7 * * *' # run once a day near midnight US Pacific time
+  workflow_dispatch: # allows for manual dispatch
 
 name: "Shellcheck"
 permissions: {}

.github/workflows/update-translation.yml

@@ -1,5 +1,8 @@
 name: Update Translation Catalog
-on: {}
+on: 
+  # schedule:
+  #   - cron: 0 0 * * 1
+  workflow_dispatch:
 
 jobs:
   update_translation:

.github/workflows/winget_updater.yml

@@ -1,6 +1,7 @@
 name: Publish to WinGet
-on: {}
-
+on:
+  release:
+    types: [ released ]
 jobs:
   publish:
     runs-on: windows-latest

.gitignore

@@ -45,4 +45,6 @@ test.js
 .clangd
 internal_docs/
 *.flatpak
-/flatpak-repo/
+/flatpak-repo/
+*.3mf
+*.gcode

CMakeLists.txt

@@ -85,6 +85,7 @@ else ()
 endif ()
 
 find_package(Git)
+set(GIT_COMMIT_HASH "0000000")
 if(DEFINED ENV{git_commit_hash} AND NOT "$ENV{git_commit_hash}" STREQUAL "")
     message(STATUS "Specified git commit hash: $ENV{git_commit_hash}")
     if(GIT_FOUND AND EXISTS "${CMAKE_SOURCE_DIR}/.git")
@@ -99,7 +100,6 @@ if(DEFINED ENV{git_commit_hash} AND NOT "$ENV{git_commit_hash}" STREQUAL "")
         # No .git directory (e.g., Flatpak sandbox) — truncate directly
         string(SUBSTRING "$ENV{git_commit_hash}" 0 7 GIT_COMMIT_HASH)
     endif()
-    add_definitions("-DGIT_COMMIT_HASH=\"${GIT_COMMIT_HASH}\"")
 elseif(GIT_FOUND AND EXISTS "${CMAKE_SOURCE_DIR}/.git")
     # Check current Git commit hash
     execute_process(
@@ -108,7 +108,6 @@ elseif(GIT_FOUND AND EXISTS "${CMAKE_SOURCE_DIR}/.git")
         OUTPUT_VARIABLE GIT_COMMIT_HASH
         OUTPUT_STRIP_TRAILING_WHITESPACE
     )
-    add_definitions("-DGIT_COMMIT_HASH=\"${GIT_COMMIT_HASH}\"")
 endif()
 
 if(DEFINED ENV{SLIC3R_STATIC})
@@ -117,10 +116,10 @@ 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)" ${SLIC3R_STATIC_INITIAL})
+option(SLIC3R_GUI    			"Compile OrcaSlicer with GUI components (OpenGL, wxWidgets)" 1)
 option(SLIC3R_FHS               "Assume OrcaSlicer is to be installed in a FHS directory structure" 0)
-option(SLIC3R_PROFILE           "Compile OrcaSlicer with an invasive Shiny profiler" 0)
+option(SLIC3R_PROFILE 			"Compile OrcaSlicer with an invasive Shiny profiler" 0)
 option(SLIC3R_PCH               "Use precompiled headers" 1)
 option(SLIC3R_MSVC_COMPILE_PARALLEL "Compile on Visual Studio in parallel" 1)
 option(SLIC3R_MSVC_PDB          "Generate PDB files on MSVC in Release mode" 1)
@@ -219,10 +218,8 @@ if (MSVC)
     endif ()
     # /bigobj (Increase Number of Sections in .Obj file)
     # error C3859: virtual memory range for PCH exceeded; please recompile with a command line option of '-Zm90' or greater
-    # Generate symbols at every build target, even for the release.
-	# -Zm520 fixes error C3859 but forces the compiler to pre-allocate that memory for every translation unit regardless
-	# combining /Zi with /FS frees up a significant amount of memory pressure across all parallel compile jobs and makes /MP faster overall.
-    add_compile_options(-bigobj /Zi /FS)
+    add_compile_options(-bigobj -Zm520)
+    add_compile_options($<$<OR:$<CONFIG:Debug>,$<CONFIG:RelWithDebInfo>>:/Zi>)
     # Disable STL4007: Many result_type typedefs and all argument_type, first_argument_type, and second_argument_type typedefs are deprecated in C++17.
     #FIXME Remove this line after eigen library adapts to the new C++17 adaptor rules.
     add_compile_options(-D_SILENCE_CXX17_ADAPTOR_TYPEDEFS_DEPRECATION_WARNING)
@@ -233,11 +230,6 @@ if (MSVC)
     # Disable warnings on comparison of unsigned and signed
     # C4018: signed/unsigned mismatch
     add_compile_options(/wd4018)
-    # Prevent linker restart when TBB (or other deps) built with /GL are linked
-	# Make your full (clean) build slower because it enables link-time code generation across all translation units.
-	# helps incremental builds by preventing the double-link restart from TBB
-    set(CMAKE_EXE_LINKER_FLAGS    "${CMAKE_EXE_LINKER_FLAGS} /LTCG")
-    set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} /LTCG")
 endif ()
 
 if (${CMAKE_CXX_COMPILER_ID} STREQUAL "AppleClang" AND ${CMAKE_CXX_COMPILER_VERSION} VERSION_GREATER 15)
@@ -434,8 +426,8 @@ if (NOT MSVC AND ("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU" OR "${CMAKE_CXX_COMP
 
     if((${CMAKE_CXX_COMPILER_ID} STREQUAL "Clang" OR ${CMAKE_CXX_COMPILER_ID} STREQUAL "AppleClang") AND ${CMAKE_CXX_COMPILER_VERSION} VERSION_GREATER 15)
         include(CheckCXXCompilerFlag)
-        check_cxx_compiler_flag(-Wno-error=enum-constexpr-conversion HAS_WNO_ERROR_ENUM_CONSTEXPR_CONV)
-        if(HAS_WNO_ERROR_ENUM_CONSTEXPR_CONV)
+        check_cxx_compiler_flag("-Werror=unknown-warning-option -Wno-error=enum-constexpr-conversion" HAS_WNO_ERROR_ENUM_CONSTEXPR_CONV_STRICT)
+        if(HAS_WNO_ERROR_ENUM_CONSTEXPR_CONV_STRICT)
             add_compile_options(-Wno-error=enum-constexpr-conversion)
         endif()
     endif()
@@ -510,10 +502,10 @@ include_directories(SYSTEM ${LIBDIR_BIN}/dev-utils/platform)
 include_directories(SYSTEM ${LIBDIR}/libigl)
 
 if(WIN32)
-    add_definitions(-D_USE_MATH_DEFINES -D_WIN32 -D_CRT_SECURE_NO_WARNINGS -D_SCL_SECURE_NO_WARNINGS)
+    add_definitions(-D_USE_MATH_DEFINES -D_WIN32 -D_CRT_SECURE_NO_WARNINGS -D_SCL_SECURE_NO_WARNINGS -DNOMINMAX)
     if(MSVC)
         # BOOST_ALL_NO_LIB: Avoid the automatic linking of Boost libraries on Windows. Rather rely on explicit linking.
-        add_definitions(-DBOOST_ALL_NO_LIB -DBOOST_USE_WINAPI_VERSION=0x602 -DBOOST_SYSTEM_USE_UTF8 )
+        add_definitions(-DBOOST_ALL_NO_LIB -DBOOST_USE_WINAPI_VERSION=0x602 -DBOOST_SYSTEM_USE_UTF8 -DBOOST_REGEX_NO_WIN32_LOCALE)
         # Force the source code encoding to UTF-8. See OrcaSlicer GH pull request #5583
         add_compile_options("$<$<C_COMPILER_ID:MSVC>:/utf-8>")
         add_compile_options("$<$<CXX_COMPILER_ID:MSVC>:/utf-8>")
@@ -578,14 +570,11 @@ endif()
 # boost::process was introduced first in version 1.64.0,
 # boost::beast::detail::base64 was introduced first in version 1.66.0
 if(POLICY CMP0167)
-  cmake_policy(SET CMP0167 NEW)
+  cmake_policy(SET CMP0167 OLD)
 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)
 
@@ -670,6 +659,16 @@ 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.
 
@@ -713,7 +712,7 @@ 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 ${PROJECT_SOURCE_DIR}
     COMMENT "Generate pot file from strings in the source tree"
 )
@@ -785,10 +784,8 @@ function(orcaslicer_copy_dlls target config postfix output_dlls)
         set(_arch "x64")
     elseif ("${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)
@@ -879,6 +876,13 @@ function(orcaslicer_copy_dlls target config postfix output_dlls)
 endfunction()
 
 
+# Ensure Eigen3::Eigen IMPORTED target exists before deps_src subdirectories
+# are configured. In static builds find_package(Eigen3) is skipped above, so
+# admesh/clipper (which link Eigen3::Eigen) would fail without this call.
+if(NOT TARGET Eigen3::Eigen)
+    find_package(Eigen3 CONFIG QUIET)
+endif()
+
 # libslic3r, OrcaSlicer GUI and the OrcaSlicer executable.
 add_subdirectory(deps_src)
 add_subdirectory(src)
@@ -934,19 +938,22 @@ 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}")
-set (CPACK_PACKAGE_DESCRIPTION_SUMMARY "Orca Slicer is an open source slicer for FDM printers")
+set (CPACK_PACKAGE_DESCRIPTION_SUMMARY "Orca Slicer ImageMap is an open source slicer for FDM printers")
 set (CPACK_PACKAGE_HOMEPAGE_URL "https://github.com/OrcaSlicer/OrcaSlicer")
 set (CPACK_PACKAGE_INSTALL_DIRECTORY ${CPACK_PACKAGE_NAME})
 set (CPACK_PACKAGE_ICON "${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-ImageMap.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)
 set (CPACK_NSIS_EXECUTABLES_DIRECTORY ".")
 # set (CPACK_NSIS_MODIFY_PATH "ON")
-set(CPACK_PACKAGE_EXECUTABLES "orca-slicer;OrcaSlicer")
+set(CPACK_PACKAGE_EXECUTABLES "orca-slicer;OrcaSlicer-ImageMap")
 set(CPACK_CREATE_DESKTOP_LINKS "orca-slicer")
 set (CPACK_RESOURCE_FILE_LICENSE ${CMAKE_SOURCE_DIR}/LICENSE.txt) # must also include in install command
 

README.md

@@ -1,58 +1,253 @@
-# OrcaSlicer-KX
+<div align="center">
 
-**OrcaSlicer mit KX-Bridge-Patches für den Anycubic Kobra X**
+<picture>
+  <img alt="OrcaSlicer-ImageMap logo" src="resources/images/OrcaSlicer.png" width="15%" height="15%">
+</picture>
 
-Fertige Binaries von [OrcaSlicer](https://github.com/SoftFever/OrcaSlicer) mit integrierten KX-spezifischen Erweiterungen — empfohlen für den Einsatz mit [KX-Bridge](https://gitea.it-drui.de/viewit/KX-Bridge-Release).
+<h1>
+    <p "font-size:200px;">OrcaSlicer-ImageMap</p>
+</h1>
 
-[![Download](https://img.shields.io/badge/Download-Releases-2EA043?style=for-the-badge&logo=gitea&logoColor=white)](https://gitea.it-drui.de/viewit/OrcaSlicer-KX/releases)
+### An OrcaSlicer Fork with Image Printing Support (via overhang modulation)
 
----
+[![Build all](https://github.com/sentientstardust-dev/OrcaSlicer-ImageMap/actions/workflows/build_all.yml/badge.svg?branch=main)](https://github.com/sentientstardust-dev/OrcaSlicer-ImageMap/releases)
 
-## Download
+Test print with white, beige, light and dark blue PLA:
+![The Great Wave off Kanagawa - Katsushika Hokusai](https://gradients.garden/gitlab_images/the_great_wave2.jpeg)
+(image: The Great Wave off Kanagawa - Katsushika Hokusai)
 
-Aktuelle Version: **2.4.0-kx1** (Basis: OrcaSlicer 2.4.0 stable)
+This color sheet was printed with CMYW PLA:
+![CMYW Test Sheet](https://gradients.garden/gitlab_images/cmyw_test_sheet.jpeg)
+(test sheet image Designed by Freepik)
 
-| Plattform | Datei | Hinweis |
-|-----------|-------|---------|
-| Linux x86_64 | `OrcaSlicer-KX-Linux-x86_64.AppImage` | `chmod +x` setzen, dann starten |
-| Windows x86_64 | `OrcaSlicer-KX-Windows-x86_64.zip` | Entpacken, `orca-slicer.exe` starten |
+<details>
+<summary>More example prints</summary>
 
-macOS wird nicht bereitgestellt — bitte aus dem Upstream selbst bauen.
+Grayscale:
+![Grayscale test](https://gradients.garden/gitlab_images/grayscale_test_1.jpeg)
 
----
+CMYK:
+![Van Gogh Art Cube](https://gradients.garden/gitlab_images/artcube2.jpeg)
 
-## Enthaltene Patches
+</details>
 
-- **Moonraker-Bridge:** mehrstufiges Filament-Matching (Name, Sub-Brand, Vendor-Fallback) mit Vendor-Filter-Skip
-- **AMS-Leerslot-Fix:** leere AMS-Slots werden korrekt grau dargestellt (kein Absturz / falsches Filament)
-- **Filament-ID:** eindeutige `filament_id` für abgeleitete User-Presets (korrekte Bridge-Synchronisation)
-- **Kobra X Profile:** Drucker- und G-Code-Profile für den Anycubic Kobra X
+<h3>
 
----
+# Official links
 
-## Filament-Presets & KX-Bridge
+#### Github Repository: <a href="https://github.com/sentientstardust-dev/OrcaSlicer-ImageMap"><img src="https://img.shields.io/badge/OrcaSlicer--ImageMap-181717?style=flat&logo=github&logoColor=white" width="300" alt="GitHub Logo"/> </a>
+#### Gitlab Repository: <a href="https://gitlab.com/sentient_stardust/OrcaSlicer-ImageMap"><img src="https://img.shields.io/badge/OrcaSlicer--ImageMap-181717?style=flat&logo=gitlab&logoColor=white" width="200" alt="GitLab Logo"/> </a>
+#### Downloads: <a href="https://github.com/sentientstardust-dev/OrcaSlicer-ImageMap/releases"><img src="https://img.shields.io/badge/Releases-gray" alt="Releases"/> </a>
 
-📄 [Anleitung: eigene Filament-Presets erstellen, prüfen und importieren](https://gitea.it-drui.de/viewit/KX-Bridge-Release/src/branch/master/docs/filament-preset-bridge-guide.md)
+## ⚠️ **IMPORTANT DISCLAIMER** ⚠️
 
----
+**This fork is currently in active development and has been tested on actual hardware.**
 
-## Branch-Struktur
+- **Use at Your Own Risk**: As with any slicer fork, please review critical prints and generated G-code before production use
 
-| Branch | Version | Rolle |
-|--------|---------|-------|
-| `stable` / `kx-v2.4` | 2.4.0-kx1 | **aktuell stabil** |
-| `kx-v2.3` | 2.3.2-kx4 | eingefroren (Altstand) |
+</div>
 
----
+# OrcaSlicer-ImageMap Features
 
-## Warum ein eigenes Repo?
+### Texture Mapping
+- **Create Images on the side surfaces of your 3D prints** - each layer alternates through a fixed CMYK (or other) pattern, only varying the amount of overhang around the edge of your print. This creates a smooth surface, printing your image texture on the model with no additional seams.
 
-KX-Bridge selbst liegt unter [viewit/KX-Bridge-Release](https://gitea.it-drui.de/viewit/KX-Bridge-Release).
-OrcaSlicer steht unter AGPL-3.0 — ein separates Repo hält Lizenzen, Quellherkunft und Update-Zyklen sauber getrennt.
+![Layer Lines in Slicer Screenshot](https://gradients.garden/gitlab_images/slicer_layer_lines.jpeg)
 
----
+Zoomed-out G-code preview:
 
-## Lizenz & Quelle
+![Slicer Screenshot](https://gradients.garden/gitlab_images/sliced3.jpeg)
 
-Diese Builds sind Ableitungen von [OrcaSlicer](https://github.com/SoftFever/OrcaSlicer), lizenziert unter **GNU AGPL-3.0**.
-Der KX-Patch-Quellcode liegt auf Branch [`kx-v2.4`](https://gitea.it-drui.de/viewit/OrcaSlicer-KX/src/branch/kx-v2.4) dieses Repos.
+### 3D Model Image Texture Import
+
+- **Load OBJ, glTF and GLB files with image textures or vertex colors** - slice in full image resolution, no need to subdivide your model or bake vertex colors first
+
+### Image Projection
+- Import images and project them onto your 3D model. Or use text mode and select a font to project writing
+
+![Image Projection Panel](https://gradients.garden/gitlab_images/image_projection_sphere_1.jpeg)
+![Image Projection Result](https://gradients.garden/gitlab_images/image_projection_sphere_2.jpeg)
+
+### Simplify/Repair/Cut Textured Models
+- When using these model utilities, image textures are remapped to the resulting mesh, allowing you to keep your textures.
+
+![Color Cut Tool 1](https://gradients.garden/gitlab_images/color_cut_tool_1.jpeg)
+![Color Cut Tool 1](https://gradients.garden/gitlab_images/color_cut_tool_2.jpeg)
+([Lizard 3D Scan](https://sketchfab.com/3d-models/lizard-e60fb42493fa47389195350fcf216ee7) by Rene-L211979, CC BY 4.0)
+
+### Print images on your prime towers
+- Turn your prime towers into ornaments (requires no extra tool changes, and typically <1g additional filament)
+
+![Prime Tower Image Printing (The Great Wave off Kanagawa)](https://gradients.garden/gitlab_images/the_great_wave_prime_tower.jpeg)
+
+### Print with only one tool change per layer
+- When printing image textures with this technique, only a single filament color is used per layer (not dependent on texture color). You can print many different models at once without increasing the number of tool changes or prime tower size. This can print faster than other multicolor techniques at the same layer height.
+
+![More Test Prints](https://gradients.garden/gitlab_images/test_prints.jpeg)
+
+([3D model](https://sketchfab.com/3d-models/snakchameleon-f0e3c872f1984cf7a467645d9e0d3abd) by Pedram Ashoori, CC BY 4.0)
+(Himalayan Monal photo from https://en.wikipedia.org/wiki/Himalayan_monal#/media/File:Himalayan_Monal_at_Sagarmatha_National_Park,_Nepal.jpg - CC BY-SA 4.0)
+
+### 2D Gradient Generation
+- **Create 2D Gradients** on your object by changing a texture mapping zone's pattern to "2D Gradient"
+
+![2D Gradients](https://gradients.garden/gitlab_images/slicergradients.jpeg)
+
+### Other features/improvements implemented in OrcaSlicer-ImageMap:
+- Paint filament regions by slope
+- Convert between all supported color data types (image texture, vertex colors, 3mf filament painting regions, RGBA data)
+    - For example you could import a 3mf with region painting and convert it to a texture (with autogenerated UV map)
+- Triangulate 3D models on import (before only OBJs with triangles or quads could be imported)
+- Halftone image dithering (for stylized effect)
+- Integrates with Filament Painting
+    - Texture mapping and 2D gradients work with OrcaSlicer filament region painting, so you can have texture mapping on one part of the model, and a solid filament color or gradient somewhere else.
+
+# Download
+
+## Beta Release Builds
+
+📥 **[Download the Latest Build](https://github.com/sentientstardust-dev/OrcaSlicer-ImageMap/releases)**  
+Explore the latest developments in OrcaSlicer-ImageMap with our builds for MacOS and Windows. Feedback is highly appreciated.
+
+# How to install
+
+## Windows
+
+Download the **Windows Portable build**  for your preferred version from the [releases page](https://github.com/sentientstardust-dev/OrcaSlicer-ImageMap/releases).
+
+ - 
+    <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`
+    </details>
+
+## Mac
+
+1. Download the DMG for your computer from the [Releases](https://github.com/sentientstardust-dev/OrcaSlicer-ImageMap/releases)
+2. Drag OrcaSlicer.app to Application folder.
+3. The macos builds in this repository are not signed, so to run you also need to follow the instructions below:
+
+    <details>
+    <summary>Quarantine</summary>
+
+    - Option 1 (You only need to do this once. After that the app can be opened normally.):
+      - Step 1: Hold _cmd_ and right click the app, from the context menu choose **Open**.
+      - Step 2: A warning window will pop up, click _Open_
+
+    - Option 2:
+      Execute this command in terminal:
+
+      ```shell
+      xattr -dr com.apple.quarantine /Applications/OrcaSlicer.app
+      ```
+
+    - Option 3:
+        - Step 1: open the app, a warning window will pop up  
+            ![mac_cant_open](./SoftFever_doc/mac_cant_open.png)
+        - Step 2: in `System Settings` -> `Privacy & Security`, click `Open Anyway`:  
+            ![mac_security_setting](./SoftFever_doc/mac_security_setting.png)
+    </details>
+
+## Linux
+
+Currently builds are not available for linux, you must build this yourself
+
+# Tips and advice for printing with image textures:
+### Filament
+- In my test prints shown above I used PLA with transmission distances of around 2-4
+    - Avoid using filament with higher TD values with line width modulation mode, such as filaments labelled 'translucent' or 'transparent', as they are likely to lead to washed out/pale colors (this technique works by overhanging filament sagging and blocking the layer below, so if you use filament that is too translucent the color below will still be visible).
+    - On the other hand, filament that is very opaque can cause horizontal lines to be too visible, so I recommend filaments with middle ground TD values
+    - If you don’t have a TD measurement device you can look up community sourced filament TD values on filamentcolors.xyz or 3dfilamentprofiles.com
+- If you're using translucent filament I recommend using perimeter path modulation mode v2 (you can set it in the options panel for each texture zone, in the modulation mode tab)
+    - To use top-surface texturing (still WIP), translucent filaments will likely be required otherwise color depth will be reduced
+### Overhang amount
+- The range between the minimum and maximum outer wall line width in Multimaterial settings determines the maximum overhang amount, which will affect the strength of your colors (essentially, larger range -> stronger colors). 
+    - The default min/max values are 0.32-0.95 for a 0.4mm nozzle, if you use a different size nozzle you should change these values accordingly.
+    - With smaller nozzles than 0.4mm you won't be able to achieve as much overhang, so might have to use opaque filament to avoid faded colors.
+    - When adjusting these limits keep in mind that they are bounded by what is physically possible with your nozzle. Setting them too large or small could cause print instability, bad results, or even damage your printer. Change at your own risk - if you don't know what you're doing, leave them at their defaults.
+### Color mode
+- If you want to print with custom colors and not just preset modes (CMYK, RGBW, etc.), select the Generic Solver option. This mode attempts to recreate the colors in your object’s image texture using whatever filaments you assign.
+    - If you want to make sure a filament is used on a certain part of your image, set it to a hex color code picked from of that area. Keep in mind if you set your filament color too far from the actual filament, it can affect colors on other parts of your print
+
+# Converting textured models to obj in blender
+<details>
+<summary>How to convert other 3d model formats to obj (so they can be loaded in ImageMap):</summary>
+
+- Step 1: Import your model in blender using File -> Import (and selecting the file type that corresponds to your model)
+- Step 2 (optional): Change the viewport shading mode to 'Material Preview'  in the top right of the viewport, to check that your model textures are loaded properly.
+    - If your model has vertex colors doing this won't show them (this is fine). In this case you can skip past step 3 as there won't be any textures to unpack.
+- Step 3A: Unpack the image textures from your model using File -> External Data -> Unpack Resources. This should work, but often runs into errors when I try to use it, so if it doesn't work go to step 3B. Otherwise skip to step 4.
+- <details>
+    <summary>Step 3B: If you couldn't automatically unpack the model textures, expand this and follow these instructions instead of 3A</summary>
+
+    - Change the editor type to "Image Editor" by clicking the dropdown in the top left of the viewport.
+    - Next click the small picture icon dropdown in the top middle of the screen. It should show a list of image filenames, i.e. Image_0, Image_1, etc.
+    - For each image file that looks like it could be a model texture (has similar colors to your model), repeat this step:
+        - Select the image from the dropdown and then go to "Image -> Save As" in the top bar. Save the image in the folder you are going to export your obj model to
+        - There will often be other kinds of image data here you don't need to unpack (specular maps, etc.). if you're not sure which ones you need it doesn't do any harm to export all of them
+    </details>
+- Step 4 (optional): Triangulate your mesh.
+  - If your model contains large n-gons, the slicer won't be able to import it. This step converts all faces into triangles to solve the issue
+  - 4.1 - Click on your object, then go to the Modifiers tab on the right panel (blue spanner icon).
+  - 4.2 - Click 'Add Modifier', and add a Generate -> Triangulate modifier.
+  - 4.3 - Click the down arrow to the right of the new Triangulate modifier, and click 'Apply'
+- Step 5: After unpacking your model images and/or triangulating the model, you can now export the obj. Go to File -> Export and select "Wavefront (.obj)"
+    - Set Materials -> Path Mode in the export dialog to "Copy"
+    - If your model uses vertex colors instead of textures, make sure "Colors" is enabled in the Geometry tab
+    - You can also check that the Up Axis is set to "Y" and UV Coordinates are enabled in this export dialog (but these should be already set by default)
+- Step 6: Your model is now converted to obj. You can now open ImageMap and use File -> Import -> "Import 3MF/STL/STEP/SVG/OBJ/AMF..." to load this obj file with its color image texture.
+</details>
+
+# 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.
+
+Please refer to the wiki to ensure you're following the latest and most accurate steps for your platform.
+
+# Klipper Note
+
+If you're running Klipper, it's recommended to add the following configuration to your `printer.cfg` file.
+
+```gcode
+# Enable object exclusion
+[exclude_object]
+
+# Enable arcs support
+[gcode_arcs]
+resolution: 0.1
+```
+
+## Some Background
+
+Open-source slicing has always been built on a tradition of collaboration and attribution. [Slic3r](https://github.com/Slic3r/Slic3r), created by Alessandro Ranellucci and the RepRap community, laid the foundation. [PrusaSlicer](https://github.com/prusa3d/PrusaSlicer) by Prusa Research built on Slic3r and acknowledged that heritage. [Bambu Studio](https://github.com/bambulab/BambuStudio) in turn forked from PrusaSlicer, and [SuperSlicer](https://github.com/supermerill/SuperSlicer) by @supermerill extended PrusaSlicer with community-driven enhancements. Each project carried the work of its predecessors forward, crediting those who came before.
+
+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.
+
+OrcaSlicer-ImageMap is a fork of OrcaSlicer made by sentientstardust, to add image printing support using overhang and alternating CMYK (or other color) layers.
+
+The OrcaSlicer logo was designed by community member Justin Levine (@freejstnalxndr).
+
+## Acknowledgements
+Use of filament overhang to create the appearance of continuous side-surface imagery based on [Kuipers, et. al 2018](https://arxiv.org/pdf/1805.01375)
+
+Top surface color blending inspired by [V. Babaei et. al, 2017](https://cdfg.mit.edu/assets/files/Color3DP_compressed.pdf)
+
+Thanks to neotko for suggesting I experiment with variable line width
+
+Thanks to everyone who has beta tested and given feedback
+
+# License
+- **OrcaSlicer-ImageMap** is licensed under the GNU Affero General Public License, version 3. OrcaSlicer-ImageMap is forked from OrcaSlicer.
+- **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.
+- The **Bambu networking plugin** is based on non-free libraries from BambuLab. It is optional to the OrcaSlicer and provides extended functionalities for Bambulab printer users.
+- This repository uses Pigment Painter in order to predict how filament colors will mix. Pigment Painter is licensed under the GNU General Public License, version 3.
+- ColorSolver is used for fast RGB -> filament ratio conversion. ColorSolver is licensed under the GNU Affero General Public License, version 3

build_release_macos.sh

@@ -237,6 +237,7 @@ function build_slicer() {
             resources_path=$(readlink ./OrcaSlicer.app/Contents/Resources)
             rm ./OrcaSlicer.app/Contents/Resources
             cp -R "$resources_path" ./OrcaSlicer.app/Contents/Resources
+            plutil -replace CFBundleIconFile -string "images/OrcaSlicer.icns" ./OrcaSlicer.app/Contents/Info.plist
             # delete .DS_Store file
             find ./OrcaSlicer.app/ -name '.DS_Store' -delete
             

build_release_vs.bat

@@ -9,6 +9,11 @@ for %%a in (%*) do (
     if "%%a"=="-x" set USE_NINJA=1
 )
 
+set "SLIC3R_PRECOMPILED_HEADERS="
+for %%a in (%*) do (
+    if "%%a"=="-p" set SLIC3R_PRECOMPILED_HEADERS=OFF
+)
+
 if "%USE_NINJA%"=="1" (
     echo Using Ninja Multi-Config generator
     set CMAKE_GENERATOR="Ninja Multi-Config"
@@ -114,10 +119,14 @@ REM Set minimum CMake policy to avoid <3.5 errors
 set CMAKE_POLICY_VERSION_MINIMUM=3.5
 if "%USE_NINJA%"=="1" (
     cmake ../ -G %CMAKE_GENERATOR% -DCMAKE_BUILD_TYPE=%build_type%
+    if errorlevel 1 exit /b 1
     cmake --build . --config %build_type% --target deps
+    if errorlevel 1 exit /b 1
 ) else (
     cmake ../ -G %CMAKE_GENERATOR% -A x64 -DCMAKE_BUILD_TYPE=%build_type%
+    if errorlevel 1 exit /b 1
     cmake --build . --config %build_type% --target deps -- -m
+    if errorlevel 1 exit /b 1
 )
 @echo off
 
@@ -131,18 +140,28 @@ cd %build_dir%
 
 echo on
 set CMAKE_POLICY_VERSION_MINIMUM=3.5
+set "CMAKE_CONFIGURE_FLAGS="
+if defined CMAKE_C_COMPILER_LAUNCHER set "CMAKE_CONFIGURE_FLAGS=%CMAKE_CONFIGURE_FLAGS% -DCMAKE_C_COMPILER_LAUNCHER=%CMAKE_C_COMPILER_LAUNCHER%"
+if defined CMAKE_CXX_COMPILER_LAUNCHER set "CMAKE_CONFIGURE_FLAGS=%CMAKE_CONFIGURE_FLAGS% -DCMAKE_CXX_COMPILER_LAUNCHER=%CMAKE_CXX_COMPILER_LAUNCHER%"
+if defined SLIC3R_PRECOMPILED_HEADERS set "CMAKE_CONFIGURE_FLAGS=%CMAKE_CONFIGURE_FLAGS% -DSLIC3R_PCH=%SLIC3R_PRECOMPILED_HEADERS%"
 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
+    cmake .. -G %CMAKE_GENERATOR% -DORCA_TOOLS=ON %SIG_FLAG% -DCMAKE_BUILD_TYPE=%build_type% %CMAKE_CONFIGURE_FLAGS%
+    if errorlevel 1 exit /b 1
+    cmake --build . --config %build_type%
+    if errorlevel 1 exit /b 1
 ) else (
-    cmake .. -G %CMAKE_GENERATOR% -A x64 -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_CONFIGURE_FLAGS%
+    if errorlevel 1 exit /b 1
     cmake --build . --config %build_type% --target ALL_BUILD -- -m
+    if errorlevel 1 exit /b 1
 )
 @echo off
 cd ..
 call scripts/run_gettext.bat
+if errorlevel 1 exit /b 1
 cd %build_dir%
 cmake --build . --target install --config %build_type%
+if errorlevel 1 exit /b 1
 
 :done
 @echo off

build_release_vs2022.bat

@@ -15,10 +15,18 @@ 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
@@ -31,7 +39,8 @@ if "%debug%"=="ON" (
         set build_dir=build
     )
 )
-echo build type set to %build_type%
+if "%arch%"=="ARM64" set build_dir=%build_dir%-arm64
+echo build type set to %build_type%, arch=%arch%
 
 setlocal DISABLEDELAYEDEXPANSION 
 cd deps
@@ -48,7 +57,7 @@ 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 x64 -DCMAKE_BUILD_TYPE=%build_type%
+cmake ../ -G "Visual Studio 17 2022" -A %arch% -DCMAKE_BUILD_TYPE=%build_type%
 cmake --build . --config %build_type% --target deps -- -m
 @echo off
 
@@ -62,7 +71,7 @@ cd %build_dir%
 
 echo on
 set CMAKE_POLICY_VERSION_MINIMUM=3.5
-cmake .. -G "Visual Studio 17 2022" -A x64 -DORCA_TOOLS=ON %SIG_FLAG% -DCMAKE_BUILD_TYPE=%build_type%
+cmake .. -G "Visual Studio 17 2022" -A %arch% -DORCA_TOOLS=ON %SIG_FLAG% -DCMAKE_BUILD_TYPE=%build_type%
 cmake --build . --config %build_type% --target ALL_BUILD -- -m
 @echo off
 cd ..

cmake/GenerateSoftFeverVersion.cmake

@@ -0,0 +1,34 @@
+if(NOT DEFINED INPUT)
+    message(FATAL_ERROR "INPUT is required")
+endif()
+
+if(NOT DEFINED OUTPUT)
+    message(FATAL_ERROR "OUTPUT is required")
+endif()
+
+if(NOT DEFINED GIT_COMMIT_HASH)
+    set(GIT_COMMIT_HASH "0000000")
+endif()
+
+file(STRINGS "${INPUT}" SOFTFEVER_VERSION LIMIT_COUNT 1)
+string(STRIP "${SOFTFEVER_VERSION}" SOFTFEVER_VERSION)
+
+set(CONTENT [=[
+#include "libslic3r_version.h"
+
+namespace Slic3r {
+
+const char* softfever_version()
+{
+    return "@SOFTFEVER_VERSION@";
+}
+
+const char* git_commit_hash()
+{
+    return "@GIT_COMMIT_HASH@";
+}
+
+} // namespace Slic3r
+]=])
+string(CONFIGURE "${CONTENT}" CONTENT @ONLY)
+file(WRITE "${OUTPUT}" "${CONTENT}")

cmake/modules/FindGLEW.cmake

@@ -124,6 +124,8 @@ 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

@@ -10,6 +10,20 @@ 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 "${DEPS_ARCH}" STREQUAL "arm64")
+    set(_context_impl_line "-DBOOST_CONTEXT_IMPLEMENTATION:STRING=winfib")
+endif ()
+
+set(_options "")
+if (MSVC AND DEP_DEBUG)
+    set(_options "FORWARD_CONFIG")
+endif ()
+
 orcaslicer_add_cmake_project(Boost
     URL "https://github.com/boostorg/boost/releases/download/boost-1.84.0/boost-1.84.0.tar.gz"
     URL_HASH SHA256=4d27e9efed0f6f152dc28db6430b9d3dfb40c0345da7342eaa5a987dde57bd95
@@ -22,6 +36,7 @@ orcaslicer_add_cmake_project(Boost
         -DBOOST_IOSTREAMS_ENABLE_ZSTD:BOOL=OFF
         "${_context_abi_line}"
         "${_context_arch_line}"
+        "${_context_impl_line}"
 )
 
 set(DEP_Boost_DEPENDS ZLIB)

deps/OpenCV/OpenCV.cmake

@@ -1,4 +1,6 @@
-if (MSVC)
+# 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")
     set(_use_IPP "-DWITH_IPP=ON")
 else ()
     set(_use_IPP "-DWITH_IPP=OFF")

deps/OpenEXR/OpenEXR.cmake

@@ -32,6 +32,17 @@ 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 ()
@@ -49,6 +60,7 @@ 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

@@ -0,0 +1,29 @@
+# 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

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

deps_src/CMakeLists.txt

@@ -27,9 +27,15 @@ add_subdirectory(libigl)
 add_subdirectory(libnest2d)
 add_subdirectory(mcut)
 add_subdirectory(md4c)
-add_subdirectory(mdns)
 add_subdirectory(miniz)
 add_subdirectory(minilzo)
+add_subdirectory(pigment-painter)
+add_subdirectory(prusa-fdm-mixer)
+add_subdirectory(colorsolver)
 add_subdirectory(qhull)
 add_subdirectory(qoi)
 add_subdirectory(semver)      # Semver static library
+add_subdirectory(tinygltf)
+
+# Eigen header-only library
+add_subdirectory(eigen)

deps_src/clipper2/CMakeLists.txt

@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.10)
-project(Clipper2 VERSION 1.5.2 LANGUAGES C CXX)
+project(Clipper2 VERSION 2.0.1 LANGUAGES C CXX)
 
 set(CMAKE_POSITION_INDEPENDENT_CODE ON)
 set(CMAKE_CXX_STANDARD 17)
@@ -19,6 +19,7 @@ set(CLIPPER2_INC
   Clipper2Lib/include/clipper2/clipper.minkowski.h
   Clipper2Lib/include/clipper2/clipper.offset.h
   Clipper2Lib/include/clipper2/clipper.rectclip.h
+  Clipper2Lib/include/clipper2/clipper.triangulation.h
   Clipper2Lib/include/clipper2/clipper2_z.hpp
 )
 
@@ -26,6 +27,7 @@ set(CLIPPER2_SRC
   Clipper2Lib/src/clipper.engine.cpp
   Clipper2Lib/src/clipper.offset.cpp
   Clipper2Lib/src/clipper.rectclip.cpp
+  Clipper2Lib/src/clipper.triangulation.cpp
   Clipper2Lib/src/clipper2_z.cpp
 )
 
@@ -51,4 +53,3 @@ set_target_properties(Clipper2 PROPERTIES FOLDER Libraries
                                          SOVERSION ${PROJECT_VERSION_MAJOR}
                                          PUBLIC_HEADER "${CLIPPER2_INC}"
 )
-

deps_src/clipper2/Clipper2Lib/include/clipper2/clipper.core.h

@@ -1,8 +1,8 @@
 /*******************************************************************************
 * Author    :  Angus Johnson                                                   *
-* Date      :  12 May 2024                                                     *
+* Date      :  12 October 2025                                                 *
 * Website   :  https://www.angusj.com                                          *
-* Copyright :  Angus Johnson 2010-2024                                         *
+* Copyright :  Angus Johnson 2010-2025                                         *
 * Purpose   :  Core Clipper Library structures and functions                   *
 * License   :  https://www.boost.org/LICENSE_1_0.txt                           *
 *******************************************************************************/
@@ -141,7 +141,7 @@ namespace Clipper2Lib {
       }
     }
 
-    explicit Point() : x(0), y(0), z(0) {};
+    explicit Point() : x(0), y(0), z(0) {}
 
     template <typename T2>
     Point(const T2 x_, const T2 y_, const z_type z_ = 0)
@@ -193,7 +193,7 @@ namespace Clipper2Lib {
       }
     }
 
-    explicit Point() : x(0), y(0) {};
+    explicit Point() : x(0), y(0) {}
 
     template <typename T2>
     Point(const T2 x_, const T2 y_) { Init(x_, y_); }
@@ -251,6 +251,20 @@ namespace Clipper2Lib {
   template <typename T>
   using Paths = std::vector<Path<T>>;
 
+  template <typename T, typename T2=T>
+  Path<T>& operator<<(Path<T>& poly, const Point<T2>& p)
+  {
+    poly.emplace_back(p);
+    return poly;
+  }
+
+  template <typename T>
+  Paths<T>& operator<<(Paths<T>& polys, const Path<T>& p)
+  {
+    polys.emplace_back(p);
+    return polys;
+  }
+
   using Path64 = Path<int64_t>;
   using PathD = Path<double>;
   using Paths64 = std::vector< Path64>;
@@ -356,13 +370,13 @@ namespace Clipper2Lib {
       bottom *= scale;
     }
 
-    bool IsEmpty() const { return bottom <= top || right <= left; };
+    bool IsEmpty() const { return bottom <= top || right <= left; }
 
     bool Intersects(const Rect<T>& rec) const
     {
       return ((std::max)(left, rec.left) <= (std::min)(right, rec.right)) &&
         ((std::max)(top, rec.top) <= (std::min)(bottom, rec.bottom));
-    };
+    }
 
     bool operator==(const Rect<T>& other) const {
       return left == other.left && right == other.right &&
@@ -688,29 +702,28 @@ namespace Clipper2Lib {
     return (x > 0) - (x < 0);
   }
 
-  struct MultiplyUInt64Result
+  struct UInt128Struct
   {
-    const uint64_t result = 0;
-    const uint64_t carry = 0;
+    const uint64_t lo = 0;
+    const uint64_t hi = 0;
 
-    bool operator==(const MultiplyUInt64Result& other) const
+    bool operator==(const UInt128Struct& other) const
     {
-      return result == other.result && carry == other.carry;
-    };
+      return lo == other.lo && hi == other.hi;
+    }
+
   };
 
-  inline MultiplyUInt64Result Multiply(uint64_t a, uint64_t b) // #834, #835
+  inline UInt128Struct MultiplyUInt64(uint64_t a, uint64_t b) // #834, #835
   {
+    // note to self - lamba expressions follow
     const auto lo = [](uint64_t x) { return x & 0xFFFFFFFF; };
     const auto hi = [](uint64_t x) { return x >> 32; };
 
     const uint64_t x1 = lo(a) * lo(b);
     const uint64_t x2 = hi(a) * lo(b) + hi(x1);
     const uint64_t x3 = lo(a) * hi(b) + lo(x2);
-    const uint64_t result = lo(x3) << 32 | lo(x1);
-    const uint64_t carry = hi(a) * hi(b) + hi(x2) + hi(x3);
-
-    return { result, carry };
+    return { uint64_t(lo(x3) << 32 | lo(x1)), uint64_t(hi(a) * hi(b) + hi(x2) + hi(x3)) };
   }
 
   // returns true if (and only if) a * b == c * d
@@ -727,14 +740,50 @@ namespace Clipper2Lib {
     const auto abs_c = static_cast<uint64_t>(std::abs(c));
     const auto abs_d = static_cast<uint64_t>(std::abs(d));
 
-    const auto abs_ab = Multiply(abs_a, abs_b);
-    const auto abs_cd = Multiply(abs_c, abs_d);
+    const auto ab = MultiplyUInt64(abs_a, abs_b);
+    const auto cd = MultiplyUInt64(abs_c, abs_d);
 
     // nb: it's important to differentiate 0 values here from other values
     const auto sign_ab = TriSign(a) * TriSign(b);
     const auto sign_cd = TriSign(c) * TriSign(d);
 
-    return abs_ab == abs_cd && sign_ab == sign_cd;
+    return ab == cd && sign_ab == sign_cd;
+#endif
+  }
+
+  template <typename T>
+  inline int CrossProductSign(const Point<T>& pt1, const Point<T>& pt2, const Point<T>& pt3)
+  {
+    const auto a = pt2.x - pt1.x;
+    const auto b = pt3.y - pt2.y;
+    const auto c = pt2.y - pt1.y;
+    const auto d = pt3.x - pt2.x;
+
+#if (defined(__clang__) || defined(__GNUC__)) && UINTPTR_MAX >= UINT64_MAX
+    const auto ab = static_cast<__int128_t>(a) * static_cast<__int128_t>(b);
+    const auto cd = static_cast<__int128_t>(c) * static_cast<__int128_t>(d);
+    if (ab > cd) return 1;
+    else if (ab < cd) return -1;
+    else return 0;
+#else
+    const auto ab = MultiplyUInt64(std::abs(a), std::abs(b));
+    const auto cd = MultiplyUInt64(std::abs(c), std::abs(d));
+
+    const auto sign_ab = TriSign(a) * TriSign(b);
+    const auto sign_cd = TriSign(c) * TriSign(d);
+
+    if (sign_ab == sign_cd)
+    {
+      int result;
+      if (ab.hi == cd.hi)
+      {
+        if (ab.lo == cd.lo) return 0;
+        result = (ab.lo > cd.lo) ? 1 : -1;
+      }
+      else result = (ab.hi > cd.hi) ? 1 : -1;
+      return (sign_ab > 0) ? result : -result;
+    }
+    return (sign_ab > sign_cd) ? 1 : -1;
 #endif
   }
 
@@ -838,14 +887,18 @@ namespace Clipper2Lib {
     return Area<T>(poly) >= 0;
   }
 
-#if CLIPPER2_HI_PRECISION
+  // GetLineIntersectPt - a 'true' result is non-parallel. The 'ip' will also
+  // be constrained to seg1. However, it's possible that 'ip' won't be inside
+  // seg2, even when 'ip' hasn't been constrained (ie 'ip' is inside seg1).
+
+#if defined(CLIPPER2_HI_PRECISION) && CLIPPER2_HI_PRECISION
   // caution: this will compromise performance
   // https://github.com/AngusJohnson/Clipper2/issues/317#issuecomment-1314023253
   // See also CPP/BenchMark/GetIntersectPtBenchmark.cpp
   #define CC_MIN(x,y) ((x)>(y)?(y):(x))
   #define CC_MAX(x,y) ((x)<(y)?(y):(x))
   template<typename T>
-  inline bool GetSegmentIntersectPt(const Point<T>& ln1a, const Point<T>& ln1b,
+  inline bool GetLineIntersectPt(const Point<T>& ln1a, const Point<T>& ln1b,
     const Point<T>& ln2a, const Point<T>& ln2b, Point<T>& ip)
   {
     double ln1dy = static_cast<double>(ln1b.y - ln1a.y);
@@ -891,11 +944,14 @@ namespace Clipper2Lib {
       ip.x = originx + static_cast<T>(hitx);
       ip.y = originy + static_cast<T>(hity);
     }
+#ifdef USINGZ
+    ip.z = 0;
+#endif
     return true;
 }
 #else
   template<typename T>
-  inline bool GetSegmentIntersectPt(const Point<T>& ln1a, const Point<T>& ln1b,
+  inline bool GetLineIntersectPt(const Point<T>& ln1a, const Point<T>& ln1b,
     const Point<T>& ln2a, const Point<T>& ln2b, Point<T>& ip)
   {
     // https://en.wikipedia.org/wiki/Line%E2%80%93line_intersection
@@ -913,7 +969,10 @@ namespace Clipper2Lib {
     {
       ip.x = static_cast<T>(ln1a.x + t * dx1);
       ip.y = static_cast<T>(ln1a.y + t * dy1);
-  }
+#ifdef USINGZ
+      ip.z = 0;
+#endif
+    }
     return true;
   }
 #endif
@@ -949,21 +1008,44 @@ namespace Clipper2Lib {
   inline bool SegmentsIntersect(const Point64& seg1a, const Point64& seg1b,
     const Point64& seg2a, const Point64& seg2b, bool inclusive = false)
   {
+    double dy1 = static_cast<double>(seg1b.y - seg1a.y);
+    double dx1 = static_cast<double>(seg1b.x - seg1a.x);
+    double dy2 = static_cast<double>(seg2b.y - seg2a.y);
+    double dx2 = static_cast<double>(seg2b.x - seg2a.x);
+    double cp = dy1 * dx2 - dy2 * dx1;
+    if (cp == 0) return false; // ie parallel segments
+
     if (inclusive)
     {
-      double res1 = CrossProduct(seg1a, seg2a, seg2b);
-      double res2 = CrossProduct(seg1b, seg2a, seg2b);
-      if (res1 * res2 > 0) return false;
-      double res3 = CrossProduct(seg2a, seg1a, seg1b);
-      double res4 = CrossProduct(seg2b, seg1a, seg1b);
-      if (res3 * res4 > 0) return false;
-      return (res1 || res2 || res3 || res4); // ensures not collinear
+      //result **includes** segments that touch at an end point
+      double t = ((seg1a.x - seg2a.x) * dy2 - (seg1a.y - seg2a.y) * dx2);
+      if (t == 0) return true;
+      if (t > 0)
+      {
+        if (cp < 0 || t > cp) return false;
+      }
+      else if (cp > 0 || t < cp) return false; // false when t more neg. than cp
+
+      t = ((seg1a.x - seg2a.x) * dy1 - (seg1a.y - seg2a.y) * dx1);
+      if (t == 0) return true;
+      if (t > 0)  return (cp > 0 && t <= cp);
+      else return (cp < 0 && t >= cp);        // true when t less neg. than cp
     }
-    else {
-      return (GetSign(CrossProduct(seg1a, seg2a, seg2b)) *
-        GetSign(CrossProduct(seg1b, seg2a, seg2b)) < 0) &&
-        (GetSign(CrossProduct(seg2a, seg1a, seg1b)) *
-          GetSign(CrossProduct(seg2b, seg1a, seg1b)) < 0);
+    else
+    {
+      //result **excludes** segments that touch at an end point
+      double t = ((seg1a.x - seg2a.x) * dy2 - (seg1a.y - seg2a.y) * dx2);
+      if (t == 0) return false;
+      if (t > 0)
+      {
+        if (cp < 0 || t >= cp) return false;
+      }
+      else if (cp > 0 || t <= cp ) return false; // false when t more neg. than cp
+
+      t = ((seg1a.x - seg2a.x) * dy1 - (seg1a.y - seg2a.y) * dx1);
+      if (t == 0) return false;
+      if (t > 0)  return (cp > 0 && t < cp);
+      else return (cp < 0 && t > cp); // true when t less neg. than cp
     }
   }
 
@@ -1051,7 +1133,7 @@ namespace Clipper2Lib {
         val = 1 - val; // toggle val
       else
       {
-        double d = CrossProduct(*prev, *curr, pt);
+        int d = CrossProductSign(*prev, *curr, pt);
         if (d == 0) return PointInPolygonResult::IsOn;
         if ((d < 0) == is_above) val = 1 - val;
       }
@@ -1065,7 +1147,7 @@ namespace Clipper2Lib {
       if (curr == cend) curr = cbegin;
       if (curr == cbegin) prev = cend - 1;
       else prev = curr - 1;
-      double d = CrossProduct(*prev, *curr, pt);
+      int d = CrossProductSign(*prev, *curr, pt);
       if (d == 0) return PointInPolygonResult::IsOn;
       if ((d < 0) == is_above) val = 1 - val;
     }

deps_src/clipper2/Clipper2Lib/include/clipper2/clipper.engine.h

@@ -97,7 +97,7 @@ namespace Clipper2Lib {
 			if (splits) delete splits;
 			// nb: don't delete the split pointers
 			// as these are owned by ClipperBase's outrec_list_
-		};
+		}
 	};
 
 	///////////////////////////////////////////////////////////////////
@@ -160,7 +160,7 @@ namespace Clipper2Lib {
 	struct HorzJoin {
 		OutPt* op1 = nullptr;
 		OutPt* op2 = nullptr;
-		HorzJoin() {};
+		HorzJoin() {}
 		explicit HorzJoin(OutPt* ltr, OutPt* rtl) : op1(ltr), op2(rtl) { }
 	};
 
@@ -280,11 +280,11 @@ namespace Clipper2Lib {
 		void AddPaths(const Paths64& paths, PathType polytype, bool is_open);
 	public:
 		virtual ~ClipperBase();
-		int ErrorCode() const { return error_code_; };
-		void PreserveCollinear(bool val) { preserve_collinear_ = val; };
-		bool PreserveCollinear() const { return preserve_collinear_;};
-		void ReverseSolution(bool val) { reverse_solution_ = val; };
-		bool ReverseSolution() const { return reverse_solution_; };
+		int ErrorCode() const { return error_code_; }
+		void PreserveCollinear(bool val) { preserve_collinear_ = val; }
+		bool PreserveCollinear() const { return preserve_collinear_;}
+		void ReverseSolution(bool val) { reverse_solution_ = val; }
+		bool ReverseSolution() const { return reverse_solution_; }
 		void Clear();
 		void AddReuseableData(const ReuseableDataContainer64& reuseable_data);
 #ifdef USINGZ
@@ -304,7 +304,7 @@ namespace Clipper2Lib {
 		PolyPath* parent_;
 	public:
 		PolyPath(PolyPath* parent = nullptr): parent_(parent){}
-		virtual ~PolyPath() {};
+		virtual ~PolyPath() {}
 		//https://en.cppreference.com/w/cpp/language/rule_of_three
 		PolyPath(const PolyPath&) = delete;
 		PolyPath& operator=(const PolyPath&) = delete;
@@ -352,7 +352,7 @@ namespace Clipper2Lib {
 		explicit PolyPath64(PolyPath64* parent = nullptr) : PolyPath(parent) {}
 		explicit PolyPath64(PolyPath64* parent, const Path64& path) : PolyPath(parent) { polygon_ = path; }
 
-		~PolyPath64() {
+		~PolyPath64() override {
 			childs_.resize(0);
 		}
 
@@ -384,7 +384,7 @@ namespace Clipper2Lib {
 			return childs_.size();
 		}
 
-		const Path64& Polygon() const { return polygon_; };
+		const Path64& Polygon() const { return polygon_; }
 
 		double Area() const
 		{
@@ -418,7 +418,7 @@ namespace Clipper2Lib {
 			polygon_ = path;
 		}
 
-		~PolyPathD() {
+		~PolyPathD() override {
 			childs_.resize(0);
 		}
 
@@ -458,7 +458,7 @@ namespace Clipper2Lib {
 			return childs_.size();
 		}
 
-		const PathD& Polygon() const { return polygon_; };
+		const PathD& Polygon() const { return polygon_; }
 
 		double Area() const
 		{
@@ -548,7 +548,7 @@ namespace Clipper2Lib {
 		}
 
 #ifdef USINGZ
-		void SetZCallback(ZCallbackD cb) { zCallbackD_ = cb; };
+		void SetZCallback(ZCallbackD cb) { zCallbackD_ = cb; }
 
 		void ZCB(const Point64& e1bot, const Point64& e1top,
 			const Point64& e2bot, const Point64& e2top, Point64& pt)
@@ -564,7 +564,7 @@ namespace Clipper2Lib {
 			PointD e2t = PointD(e2top) * invScale_;
 			zCallbackD_(e1b,e1t, e2b, e2t, tmp);
 			pt.z = tmp.z; // only update 'z'
-		};
+		}
 
 		void CheckCallback()
 		{

deps_src/clipper2/Clipper2Lib/include/clipper2/clipper.export.h

@@ -116,6 +116,7 @@ the four vertices that define the two segments that are intersecting.
 #include "clipper2/clipper.engine.h"
 #include "clipper2/clipper.offset.h"
 #include "clipper2/clipper.rectclip.h"
+#include "clipper2/clipper.triangulation.h"
 #include <cstdlib>
 
 #ifdef USINGZ
@@ -816,6 +817,24 @@ EXTERN_DLL_EXPORT CPaths64 MinkowskiDiff64(const CPath64& cpattern, const CPath6
   return CreateCPathsFromPathsT(solution);
 }
 
+EXTERN_DLL_EXPORT CPaths64 Triangulate64(const CPaths64 paths, bool use_delaunay)
+{
+  Paths64 pp = ConvertCPathsToPathsT(paths);
+  Paths64 sol;
+  if (Triangulate(pp, sol, use_delaunay) != TriangulateResult::success) return nullptr;
+  return CreateCPathsFromPathsT(sol);
+}
+
+EXTERN_DLL_EXPORT CPathsD TriangulateD(const CPathsD paths, int decimal_precison, bool use_delaunay)
+{
+  if (decimal_precison < -8 || decimal_precison > 8) return nullptr;
+  const double scale = std::pow(10, decimal_precison);
+  Paths64 pp = ConvertCPathsDToPaths64(paths, scale);
+  Paths64 sol;
+  if (Triangulate(pp, sol, use_delaunay) != TriangulateResult::success) return nullptr;
+  return CreateCPathsDFromPaths64(sol, 1 / scale);
+}
+
 #ifdef USINGZ
 typedef void (*DLLZCallback64)(const Point64& e1bot, const Point64& e1top, const Point64& e2bot, const Point64& e2top, Point64& pt);
 typedef void (*DLLZCallbackD)(const PointD& e1bot, const PointD& e1top, const PointD& e2bot, const PointD& e2top, PointD& pt);

deps_src/clipper2/Clipper2Lib/include/clipper2/clipper.h

@@ -1,8 +1,8 @@
 /*******************************************************************************
 * Author    :  Angus Johnson                                                   *
-* Date      :  27 April 2024                                                   *
+* Date      :  5 March 2025                                                    *
 * Website   :  https://www.angusj.com                                          *
-* Copyright :  Angus Johnson 2010-2024                                         *
+* Copyright :  Angus Johnson 2010-2025                                         *
 * Purpose   :  This module provides a simple interface to the Clipper Library  *
 * License   :  https://www.boost.org/LICENSE_1_0.txt                           *
 *******************************************************************************/
@@ -13,8 +13,9 @@
 #include "clipper2/clipper.core.h"
 #include "clipper2/clipper.engine.h"
 #include "clipper2/clipper.offset.h"
-#include "clipper2/clipper.minkowski.h"
 #include "clipper2/clipper.rectclip.h"
+#include "clipper2/clipper.minkowski.h"
+#include "clipper2/clipper.triangulation.h"
 #include <type_traits>
 
 #ifdef USINGZ
@@ -137,7 +138,7 @@
     JoinType jt, EndType et, double miter_limit = 2.0,
     double arc_tolerance = 0.0)
   {
-    if (!delta) return paths;
+    if (delta==0.0) return paths;
     ClipperOffset clip_offset(miter_limit, arc_tolerance);
     clip_offset.AddPaths(paths, jt, et);
     Paths64 solution;
@@ -151,10 +152,10 @@
   {
     int error_code = 0;
     CheckPrecisionRange(precision, error_code);
-    if (!delta) return paths;
+    if (delta==0.0) return paths;
     if (error_code) return PathsD();
     const double scale = std::pow(10, precision);
-    ClipperOffset clip_offset(miter_limit, arc_tolerance);
+    ClipperOffset clip_offset(miter_limit, arc_tolerance * scale);
     clip_offset.AddPaths(ScalePaths<int64_t,double>(paths, scale, error_code), jt, et);
     if (error_code) return PathsD();
     Paths64 solution;
@@ -355,6 +356,29 @@
 #endif
     }
 
+    inline size_t GetNext(size_t current, size_t high,
+      const std::vector<bool>& flags)
+    {
+      ++current;
+      while (current <= high && flags[current]) ++current;
+      if (current <= high) return current;
+      current = 0;
+      while (flags[current]) ++current;
+      return current;
+    }
+
+    inline size_t GetPrior(size_t current, size_t high,
+      const std::vector<bool>& flags)
+    {
+      if (current == 0) current = high;
+      else --current;
+      while (current > 0 && flags[current]) --current;
+      if (!flags[current]) return current;
+      current = high;
+      while (flags[current]) --current;
+      return current;
+    }
+
   } // end details namespace
 
   inline std::ostream& operator<< (std::ostream& os, const PolyTree64& pp)
@@ -615,29 +639,6 @@
     return result;
   }
 
-  inline size_t GetNext(size_t current, size_t high,
-    const std::vector<bool>& flags)
-  {
-    ++current;
-    while (current <= high && flags[current]) ++current;
-    if (current <= high) return current;
-    current = 0;
-    while (flags[current]) ++current;
-    return current;
-  }
-
-  inline size_t GetPrior(size_t current, size_t high,
-    const std::vector<bool>& flags)
-  {
-    if (current == 0) current = high;
-    else --current;
-    while (current > 0 && flags[current]) --current;
-    if (!flags[current]) return current;
-    current = high;
-    while (flags[current]) --current;
-    return current;
-  }
-
   template <typename T>
   inline Path<T> SimplifyPath(const Path<T> &path,
     double epsilon, bool isClosedPath = true)
@@ -669,13 +670,13 @@
         start = curr;
         do
         {
-          curr = GetNext(curr, high, flags);
+          curr = details::GetNext(curr, high, flags);
         } while (curr != start && distSqr[curr] > epsSqr);
         if (curr == start) break;
       }
 
-      prior = GetPrior(curr, high, flags);
-      next = GetNext(curr, high, flags);
+      prior = details::GetPrior(curr, high, flags);
+      next = details::GetNext(curr, high, flags);
       if (next == prior) break;
 
       // flag for removal the smaller of adjacent 'distances'
@@ -684,14 +685,14 @@
         prior2 = prior;
         prior = curr;
         curr = next;
-        next = GetNext(next, high, flags);
+        next = details::GetNext(next, high, flags);
       }
       else
-        prior2 = GetPrior(prior, high, flags);
+        prior2 = details::GetPrior(prior, high, flags);
 
       flags[curr] = true;
       curr = next;
-      next = GetNext(next, high, flags);
+      next = details::GetNext(next, high, flags);
 
       if (isClosedPath || ((curr != high) && (curr != 0)))
         distSqr[curr] = PerpendicDistFromLineSqrd(path[curr], path[prior], path[next]);
@@ -716,6 +717,35 @@
     return result;
   }
 
+
+  template <typename T>
+  inline bool Path2ContainsPath1(const Path<T>& path1, const Path<T>& path2)
+  {
+    // precondition: paths must not intersect, except for
+    // transient (and presumed 'micro') path intersections
+    PointInPolygonResult pip = PointInPolygonResult::IsOn;
+    for (const Point<T>& pt : path1)
+    {
+      switch (PointInPolygon(pt, path2))
+      {
+      case PointInPolygonResult::IsOutside:
+        if (pip == PointInPolygonResult::IsOutside) return false;
+        pip = PointInPolygonResult::IsOutside;
+        break;
+      case PointInPolygonResult::IsInside:
+        if (pip == PointInPolygonResult::IsInside) return true;
+        pip = PointInPolygonResult::IsInside;
+        break;
+      default:
+        break;
+      }
+    }
+    if (pip != PointInPolygonResult::IsInside) return false;
+    // result is likely true but check midpoint
+    Point<T> mp1 = GetBounds(path1).MidPoint();
+    return PointInPolygon(mp1, path2) == PointInPolygonResult::IsInside;
+  }
+
   template <typename T>
   inline void RDP(const Path<T> path, std::size_t begin,
     std::size_t end, double epsSqrd, std::vector<bool>& flags)

deps_src/clipper2/Clipper2Lib/include/clipper2/clipper.minkowski.h

@@ -63,7 +63,7 @@ namespace Clipper2Lib {
             quad.emplace_back(tmp[i][h]);
             quad.emplace_back(tmp[i][j]);
             quad.emplace_back(tmp[g][j]);
-          };
+          }
           if (!IsPositive(quad))
             std::reverse(quad.begin(), quad.end());
           result.emplace_back(std::move(quad));

deps_src/clipper2/Clipper2Lib/include/clipper2/clipper.offset.h

@@ -39,7 +39,7 @@ private:
 	class Group {
 	public:
 		Paths64 paths_in;
-        std::optional<size_t> lowest_path_idx{};
+    std::optional<size_t> lowest_path_idx{};
 		bool is_reversed = false;
 		JoinType join_type;
 		EndType end_type;
@@ -92,14 +92,14 @@ public:
 		bool reverse_solution = false) :
 		miter_limit_(miter_limit), arc_tolerance_(arc_tolerance),
 		preserve_collinear_(preserve_collinear),
-		reverse_solution_(reverse_solution) { };
+		reverse_solution_(reverse_solution) { }
 
-	~ClipperOffset() { Clear(); };
+	~ClipperOffset() { Clear(); }
 
-	int ErrorCode() const { return error_code_; };
+	int ErrorCode() const { return error_code_; }
 	void AddPath(const Path64& path, JoinType jt_, EndType et_);
 	void AddPaths(const Paths64& paths, JoinType jt_, EndType et_);
-	void Clear() { groups_.clear(); norms.clear(); };
+	void Clear() { groups_.clear(); norms.clear(); }
 
 	void Execute(double delta, Paths64& sols_64);
 	void Execute(double delta, PolyTree64& polytree);

deps_src/clipper2/Clipper2Lib/include/clipper2/clipper.rectclip.h

@@ -75,7 +75,7 @@ namespace Clipper2Lib {
     void ExecuteInternal(const Path64& path);
     Path64 GetPath(OutPt2*& op);
   public:
-    explicit RectClipLines64(const Rect64& rect) : RectClip64(rect) {};
+    explicit RectClipLines64(const Rect64& rect) : RectClip64(rect) {}
     Paths64 Execute(const Paths64& paths);
   };
 

deps_src/clipper2/Clipper2Lib/include/clipper2/clipper.triangulation.h

@@ -0,0 +1,30 @@
+/*******************************************************************************
+* Author    :  Angus Johnson                                                   *
+* Date      :  6 December 2025                                                 *
+* Release   :  BETA RELEASE                                                    *
+* Website   :  https://www.angusj.com                                          *
+* Copyright :  Angus Johnson 2010-2025                                         *
+* Purpose   :  Delaunay Triangulation                                          *
+* License   :  https://www.boost.org/LICENSE_1_0.txt                           *
+*******************************************************************************/
+
+#ifndef CLIPPER_TRIANGULATION_H
+#define CLIPPER_TRIANGULATION_H
+
+#include <stack>
+#include "clipper2/clipper.core.h"
+
+#ifdef USINGZ
+namespace Clipper2Lib_Z {
+#else
+namespace Clipper2Lib {
+#endif
+
+  enum class TriangulateResult { success, fail, no_polygons, paths_intersect };
+
+  // Triangulate - this function will not accept intesecting paths
+  TriangulateResult Triangulate(const Paths64& pp, Paths64& solution, bool useDelaunay = true);
+  TriangulateResult Triangulate(const PathsD& pp, int decPlaces, PathsD& solution, bool useDelaunay = true);
+
+} // Clipper2Lib namespace
+#endif  // CLIPPER_TRIANGULATION_H

deps_src/clipper2/Clipper2Lib/include/clipper2/clipper.version.h

@@ -1,6 +1,6 @@
 #ifndef CLIPPER_VERSION_H
 #define CLIPPER_VERSION_H
 
-constexpr auto CLIPPER2_VERSION = "1.5.2";
+constexpr auto CLIPPER2_VERSION = "2.0.1";
 
 #endif  // CLIPPER_VERSION_H

deps_src/clipper2/Clipper2Lib/src/clipper.engine.cpp

@@ -1,8 +1,8 @@
 /*******************************************************************************
 * Author    :  Angus Johnson                                                   *
-* Date      :  17 September 2024                                               *
+* Date      :  21 February 2026                                                *
 * Website   :  https://www.angusj.com                                          *
-* Copyright :  Angus Johnson 2010-2024                                         *
+* Copyright :  Angus Johnson 2010-2026                                         *
 * Purpose   :  This is the main polygon clipping module                        *
 * License   :  https://www.boost.org/LICENSE_1_0.txt                           *
 *******************************************************************************/
@@ -482,8 +482,7 @@ namespace Clipper2Lib {
   inline void SetOwner(OutRec* outrec, OutRec* new_owner)
   {
     //precondition1: new_owner is never null
-    while (new_owner->owner && !new_owner->owner->pts)
-      new_owner->owner = new_owner->owner->owner;
+    new_owner->owner = GetRealOutRec(new_owner->owner);
     OutRec* tmp = new_owner;
     while (tmp && tmp != outrec) tmp = tmp->owner;
     if (tmp) new_owner->owner = outrec->owner;
@@ -536,9 +535,9 @@ namespace Clipper2Lib {
         val = 1 - val; // toggle val
       else
       {
-        double d = CrossProduct(op2->prev->pt, op2->pt, pt);
-        if (d == 0) return PointInPolygonResult::IsOn;
-        if ((d < 0) == is_above) val = 1 - val;
+        int i = CrossProductSign(op2->prev->pt, op2->pt, pt);
+        if (i == 0) return PointInPolygonResult::IsOn;
+        if ((i < 0) == is_above) val = 1 - val;
       }
       is_above = !is_above;
       op2 = op2->next;
@@ -546,9 +545,9 @@ namespace Clipper2Lib {
 
     if (is_above != starting_above)
     {
-      double d = CrossProduct(op2->prev->pt, op2->pt, pt);
-      if (d == 0) return PointInPolygonResult::IsOn;
-      if ((d < 0) == is_above) val = 1 - val;
+      int i = CrossProductSign(op2->prev->pt, op2->pt, pt);
+      if (i == 0) return PointInPolygonResult::IsOn;
+      if ((i < 0) == is_above) val = 1 - val;
     }
 
     if (val == 0) return PointInPolygonResult::IsOutside;
@@ -578,30 +577,31 @@ namespace Clipper2Lib {
     return result;
   }
 
-  inline bool Path1InsidePath2(OutPt* op1, OutPt* op2)
+  inline bool Path2ContainsPath1(OutPt* op1, OutPt* op2)
   {
-    // we need to make some accommodation for rounding errors
-    // so we won't jump if the first vertex is found outside
-    PointInPolygonResult result;
-    int outside_cnt = 0;
+    // this function accommodates rounding errors that
+    // can cause path micro intersections
+    PointInPolygonResult pip = PointInPolygonResult::IsOn;
     OutPt* op = op1;
-    do
-    {
-      result = PointInOpPolygon(op->pt, op2);
-      if (result == PointInPolygonResult::IsOutside) ++outside_cnt;
-      else if (result == PointInPolygonResult::IsInside) --outside_cnt;
+    do {
+      switch (PointInOpPolygon(op->pt, op2))
+      {
+      case PointInPolygonResult::IsOutside:
+        if (pip == PointInPolygonResult::IsOutside) return false;
+        pip = PointInPolygonResult::IsOutside;
+        break;
+      case PointInPolygonResult::IsInside:
+        if (pip == PointInPolygonResult::IsInside) return true;
+        pip = PointInPolygonResult::IsInside;
+        break;
+      default: break;
+      }
       op = op->next;
-    } while (op != op1 && std::abs(outside_cnt) < 2);
-    if (std::abs(outside_cnt) > 1) return (outside_cnt < 0);
-    // since path1's location is still equivocal, check its midpoint
-    Point64 mp = GetBounds(GetCleanPath(op1)).MidPoint();
-    Path64 path2 = GetCleanPath(op2);
-    return PointInPolygon(mp, path2) != PointInPolygonResult::IsOutside;
+    } while (op != op1);
+    // result unclear, so try again using cleaned paths
+    return Path2ContainsPath1(GetCleanPath(op1), GetCleanPath(op2)); // (#973)
   }
 
-  //------------------------------------------------------------------------------
-  //------------------------------------------------------------------------------
-
   void AddLocMin(LocalMinimaList& list,
     Vertex& vert, PathType polytype, bool is_open)
   {
@@ -621,7 +621,7 @@ namespace Clipper2Lib {
         {return a + path.size(); });
     if (total_vertex_count == 0) return;
 
-    Vertex* vertices = new Vertex[total_vertex_count], * v = vertices;
+    Vertex* allVertices = new Vertex[total_vertex_count], * v = allVertices;
     for (const Path64& path : paths)
     {
       //for each path create a circular double linked list of vertices
@@ -713,7 +713,7 @@ namespace Clipper2Lib {
       }
     } // end processing current path
 
-    vertexLists.emplace_back(vertices);
+    vertexLists.emplace_back(allVertices);
   }
 
   //------------------------------------------------------------------------------
@@ -1126,21 +1126,19 @@ namespace Clipper2Lib {
         return newcomer.curr_x > resident.curr_x;
 
     //get the turning direction  a1.top, a2.bot, a2.top
-    double d = CrossProduct(resident.top, newcomer.bot, newcomer.top);
-    if (d != 0) return d < 0;
+    int i = CrossProductSign(resident.top, newcomer.bot, newcomer.top);
+    if (i != 0) return i < 0;
 
     //edges must be collinear to get here
     //for starting open paths, place them according to
     //the direction they're about to turn
     if (!IsMaxima(resident) && (resident.top.y > newcomer.top.y))
     {
-      return CrossProduct(newcomer.bot,
-        resident.top, NextVertex(resident)->pt) <= 0;
+      return (CrossProductSign(newcomer.bot, resident.top, NextVertex(resident)->pt) <= 0);
     }
     else if (!IsMaxima(newcomer) && (newcomer.top.y > resident.top.y))
     {
-      return CrossProduct(newcomer.bot,
-        newcomer.top, NextVertex(newcomer)->pt) >= 0;
+      return (CrossProductSign(newcomer.bot, newcomer.top, NextVertex(newcomer)->pt) >= 0);
     }
 
     int64_t y = newcomer.bot.y;
@@ -1155,7 +1153,7 @@ namespace Clipper2Lib {
       resident.bot, resident.top)) return true;
     else
       //compare turning direction of the alternate bound
-      return (CrossProduct(PrevPrevVertex(resident)->pt,
+      return (CrossProductSign(PrevPrevVertex(resident)->pt,
         newcomer.bot, PrevPrevVertex(newcomer)->pt) > 0) == newcomerIsLeft;
   }
 
@@ -1565,7 +1563,7 @@ namespace Clipper2Lib {
     FixSelfIntersects(outrec);
   }
 
-  void ClipperBase::DoSplitOp(OutRec* outrec, OutPt* splitOp)
+  void ClipperBase::DoSplitOp (OutRec* outrec, OutPt* splitOp)
   {
     // splitOp.prev -> splitOp &&
     // splitOp.next -> splitOp.next.next are intersecting
@@ -1574,7 +1572,7 @@ namespace Clipper2Lib {
     outrec->pts = prevOp;
 
     Point64 ip;
-    GetSegmentIntersectPt(prevOp->pt, splitOp->pt,
+    GetLineIntersectPt(prevOp->pt, splitOp->pt,
       splitOp->next->pt, nextNextOp->pt, ip);
 
 #ifdef USINGZ
@@ -1630,7 +1628,7 @@ namespace Clipper2Lib {
 
       if (using_polytree_)
       {
-        if (Path1InsidePath2(prevOp, newOp))
+        if (Path2ContainsPath1(prevOp, newOp))
         {
           newOr->splits = new OutRecList();
           newOr->splits->emplace_back(outrec);
@@ -1652,10 +1650,10 @@ namespace Clipper2Lib {
   void ClipperBase::FixSelfIntersects(OutRec* outrec)
   {
     OutPt* op2 = outrec->pts;
+    if (op2->prev == op2->next->next)
+      return; // because triangles can't self-intersect
     for (; ; )
     {
-      // triangles can't self-intersect
-      if (op2->prev == op2->next->next) break;
       if (SegmentsIntersect(op2->prev->pt,
         op2->pt, op2->next->pt, op2->next->next->pt))
       {
@@ -1664,6 +1662,8 @@ namespace Clipper2Lib {
         DoSplitOp(outrec, op2);
         if (!outrec->pts) break;
         op2 = outrec->pts;
+        if (op2->prev == op2->next->next)
+          break; // again, because triangles can't self-intersect
         continue;
       }
       else
@@ -2112,10 +2112,9 @@ namespace Clipper2Lib {
       e->prev_in_sel = e->prev_in_ael;
       e->next_in_sel = e->next_in_ael;
       e->jump = e->next_in_sel;
-      if (e->join_with == JoinWith::Left)
-        e->curr_x = e->prev_in_ael->curr_x; // also avoids complications
-      else
-        e->curr_x = TopX(*e, top_y);
+      // it is safe to ignore 'joined' edges here because
+      // if necessary they will be split in IntersectEdges()
+      e->curr_x = TopX(*e, top_y);
       e = e->next_in_ael;
     }
   }
@@ -2262,15 +2261,14 @@ namespace Clipper2Lib {
 
   void MoveSplits(OutRec* fromOr, OutRec* toOr)
   {
-    if (!fromOr->splits) return;
     if (!toOr->splits) toOr->splits = new OutRecList();
     OutRecList::iterator orIter = fromOr->splits->begin();
     for (; orIter != fromOr->splits->end(); ++orIter)
-      toOr->splits->emplace_back(*orIter);
+      if (toOr != *orIter) // #987
+        toOr->splits->emplace_back(*orIter);
     fromOr->splits->clear();
   }
 
-
   void ClipperBase::ProcessHorzJoins()
   {
     for (const HorzJoin& j : horz_join_list_)
@@ -2300,7 +2298,7 @@ namespace Clipper2Lib {
 
         if (using_polytree_) //#498, #520, #584, D#576, #618
         {
-          if (Path1InsidePath2(or1->pts, or2->pts))
+          if (Path2ContainsPath1(or1->pts, or2->pts))
           {
             //swap or1's & or2's pts
             OutPt* tmp = or1->pts;
@@ -2311,7 +2309,7 @@ namespace Clipper2Lib {
             //or2 is now inside or1
             or2->owner = or1;
           }
-          else if (Path1InsidePath2(or2->pts, or1->pts))
+          else if (Path2ContainsPath1(or2->pts, or1->pts))
           {
             or2->owner = or1;
           }
@@ -2324,13 +2322,14 @@ namespace Clipper2Lib {
         else
           or2->owner = or1;
       }
-      else
+      else // joining, not splitting
       {
         or2->pts = nullptr;
         if (using_polytree_)
         {
           SetOwner(or2, or1);
-          MoveSplits(or2, or1); //#618
+          if (or2->splits)
+            MoveSplits(or2, or1); //#618
         }
         else
           or2->owner = or1;
@@ -2350,7 +2349,7 @@ namespace Clipper2Lib {
   void ClipperBase::AddNewIntersectNode(Active& e1, Active& e2, int64_t top_y)
   {
     Point64 ip;
-    if (!GetSegmentIntersectPt(e1.bot, e1.top, e2.bot, e2.top, ip))
+    if (!GetLineIntersectPt(e1.bot, e1.top, e2.bot, e2.top, ip))
       ip = Point64(e1.curr_x, top_y); //parallel edges
 
     //rounding errors can occasionally place the calculated intersection
@@ -2934,22 +2933,28 @@ namespace Clipper2Lib {
 
   bool ClipperBase::CheckSplitOwner(OutRec* outrec, OutRecList* splits)
   {
-    for (auto split : *splits)
+    // nb: use indexing (not an iterator) in case 'splits' is modified inside this loop (#1029)
+    for (size_t idx = 0; idx < splits->size(); ++idx)
     {
+      OutRec* split = (*splits)[idx];
+      if (!split->pts && split->splits &&
+        CheckSplitOwner(outrec, split->splits)) return true; //#942
       split = GetRealOutRec(split);
-      if(!split || split == outrec || split->recursive_split == outrec) continue;
+      if (!split || split == outrec || split->recursive_split == outrec) continue;
       split->recursive_split = outrec; // prevent infinite loops
 
       if (split->splits && CheckSplitOwner(outrec, split->splits))
-          return true;
-      else if (CheckBounds(split) &&
-        IsValidOwner(outrec, split) &&
-        split->bounds.Contains(outrec->bounds) &&
-        Path1InsidePath2(outrec->pts, split->pts))
-      {
-        outrec->owner = split; //found in split
         return true;
-      }
+
+      if (!CheckBounds(split) || !split->bounds.Contains(outrec->bounds) ||
+        !Path2ContainsPath1(outrec->pts, split->pts)) continue;
+
+      if (!IsValidOwner(outrec, split)) // split is owned by outrec! (#957)
+          split->owner = outrec->owner;
+
+      outrec->owner = split;
+      return true;
+
     }
     return false;
   }
@@ -2960,13 +2965,12 @@ namespace Clipper2Lib {
     // post-condition: if a valid path, outrec will have a polypath
 
     if (outrec->polypath || outrec->bounds.IsEmpty()) return;
-
     while (outrec->owner)
     {
       if (outrec->owner->splits && CheckSplitOwner(outrec, outrec->owner->splits)) break;
       if (outrec->owner->pts && CheckBounds(outrec->owner) &&
         outrec->owner->bounds.Contains(outrec->bounds) &&
-        Path1InsidePath2(outrec->pts, outrec->owner->pts)) break;
+        Path2ContainsPath1(outrec->pts, outrec->owner->pts)) break;
       outrec->owner = outrec->owner->owner;
     }
 
@@ -3029,6 +3033,7 @@ namespace Clipper2Lib {
     {
       OutRec* outrec = outrec_list_[i];
       if (!outrec || !outrec->pts) continue;
+
       if (outrec->is_open)
       {
         Path64 path;

deps_src/clipper2/Clipper2Lib/src/clipper.offset.cpp

@@ -1,6 +1,6 @@
 /*******************************************************************************
 * Author    :  Angus Johnson                                                   *
-* Date      :  22 January 2025                                                 *
+* Date      :  11 October 2025                                                 *
 * Website   :  https://www.angusj.com                                          *
 * Copyright :  Angus Johnson 2010-2025                                         *
 * Purpose   :  Path Offset (Inflate/Shrink)                                    *
@@ -37,22 +37,28 @@ const double arc_const = 0.002; // <-- 1/500
 // Miscellaneous methods
 //------------------------------------------------------------------------------
 
-std::optional<size_t> GetLowestClosedPathIdx(const Paths64& paths)
+void GetLowestClosedPathInfo(const Paths64& paths, std::optional<size_t>& idx, bool& is_neg_area)
 {
-    std::optional<size_t> result;
+	idx.reset();
 	Point64 botPt = Point64(INT64_MAX, INT64_MIN);
 	for (size_t i = 0; i < paths.size(); ++i)
 	{
+		double a = MAX_DBL;
 		for (const Point64& pt : paths[i])
 		{
 			if ((pt.y < botPt.y) ||
 				((pt.y == botPt.y) && (pt.x >= botPt.x))) continue;
-            result = i;
+			if (a == MAX_DBL)
+			{
+				a = Area(paths[i]);
+				if (a == 0) break; // invalid closed path, so break from inner loop
+				is_neg_area = a < 0;
+			}
+      idx = i;
 			botPt.x = pt.x;
 			botPt.y = pt.y;
 		}
 	}
-	return result;
 }
 
 inline double Hypot(double x, double y)
@@ -145,15 +151,16 @@ ClipperOffset::Group::Group(const Paths64& _paths, JoinType _join_type, EndType
 
 	if (end_type == EndType::Polygon)
 	{
-		lowest_path_idx = GetLowestClosedPathIdx(paths_in);
+		bool is_neg_area;
+		GetLowestClosedPathInfo(paths_in, lowest_path_idx, is_neg_area);
 		// the lowermost path must be an outer path, so if its orientation is negative,
 		// then flag the whole group is 'reversed' (will negate delta etc.)
 		// as this is much more efficient than reversing every path.
-    is_reversed = (lowest_path_idx.has_value()) && Area(paths_in[lowest_path_idx.value()]) < 0;
+    is_reversed = lowest_path_idx.has_value() && is_neg_area;
 	}
 	else
 	{
-    lowest_path_idx = std::nullopt;
+    lowest_path_idx.reset();
 		is_reversed = false;
 	}
 }
@@ -236,7 +243,7 @@ void ClipperOffset::DoSquare(const Path64& path, size_t j, size_t k)
 	{
 		PointD pt4 = PointD(pt3.x + vec.x * group_delta_, pt3.y + vec.y * group_delta_);
 		PointD pt = ptQ;
-		GetSegmentIntersectPt(pt1, pt2, pt3, pt4, pt);
+		GetLineIntersectPt(pt1, pt2, pt3, pt4, pt);
 		//get the second intersect point through reflecion
         path_out.emplace_back(ReflectPoint(pt, ptQ));
         path_out.emplace_back(pt);
@@ -245,7 +252,7 @@ void ClipperOffset::DoSquare(const Path64& path, size_t j, size_t k)
 	{
 		PointD pt4 = GetPerpendicD(path[j], norms[k], group_delta_);
 		PointD pt = ptQ;
-		GetSegmentIntersectPt(pt1, pt2, pt3, pt4, pt);
+		GetLineIntersectPt(pt1, pt2, pt3, pt4, pt);
         path_out.emplace_back(pt);
 		//get the second intersect point through reflecion
         path_out.emplace_back(ReflectPoint(pt, ptQ));
@@ -601,10 +608,10 @@ void ClipperOffset::ExecuteInternal(double delta)
 
 	if (!solution->size()) return;
 
-		bool paths_reversed = CheckReverseOrientation();
+	bool paths_reversed = CheckReverseOrientation();
 	//clean up self-intersections ...
 	Clipper64 c;
-	c.PreserveCollinear(false);
+	c.PreserveCollinear(preserve_collinear_);
 	//the solution should retain the orientation of the input
 	c.ReverseSolution(reverse_solution_ != paths_reversed);
 #ifdef USINGZ

deps_src/clipper2/Clipper2Lib/src/clipper.rectclip.cpp

@@ -1,8 +1,8 @@
 /*******************************************************************************
 * Author    :  Angus Johnson                                                   *
-* Date      :  5 July 2024                                                     *
+* Date      :  11 October 2025                                                 *
 * Website   :  https://www.angusj.com                                          *
-* Copyright :  Angus Johnson 2010-2024                                         *
+* Copyright :  Angus Johnson 2010-2025                                         *
 * Purpose   :  FAST rectangular clipping                                       *
 * License   :  https://www.boost.org/LICENSE_1_0.txt                           *
 *******************************************************************************/
@@ -77,8 +77,8 @@ namespace Clipper2Lib {
   bool GetSegmentIntersection(const Point64& p1,
     const Point64& p2, const Point64& p3, const Point64& p4, Point64& ip)
   {
-    double res1 = CrossProduct(p1, p3, p4);
-    double res2 = CrossProduct(p2, p3, p4);
+    int res1 = CrossProductSign(p1, p3, p4);
+    int res2 = CrossProductSign(p2, p3, p4);
     if (res1 == 0)
     {
       ip = p1;
@@ -97,8 +97,8 @@ namespace Clipper2Lib {
     }
     if ((res1 > 0) == (res2 > 0)) return false;
 
-    double res3 = CrossProduct(p3, p1, p2);
-    double res4 = CrossProduct(p4, p1, p2);
+    int res3 = CrossProductSign(p3, p1, p2);
+    int res4 = CrossProductSign(p4, p1, p2);
     if (res3 == 0)
     {
       ip = p3;
@@ -116,7 +116,7 @@ namespace Clipper2Lib {
     if ((res3 > 0) == (res4 > 0)) return false;
 
     // segments must intersect to get here
-    return GetSegmentIntersectPt(p1, p2, p3, p4, ip);
+    return GetLineIntersectPt(p1, p2, p3, p4, ip);
   }
 
   inline bool GetIntersection(const Path64& rectPath,
@@ -227,7 +227,7 @@ namespace Clipper2Lib {
     const Point64& prev_pt, const Point64& curr_pt, const Point64& rect_mp)
   {
     if (AreOpposites(prev, curr))
-      return CrossProduct(prev_pt, rect_mp, curr_pt) < 0;
+      return CrossProductSign(prev_pt, rect_mp, curr_pt) < 0;
     else
       return HeadingClockwise(prev, curr);
   }

deps_src/clipper2/Clipper2Lib/src/clipper2_z.cpp

@@ -6,3 +6,4 @@
 #include "clipper.engine.cpp"
 #include "clipper.offset.cpp"
 #include "clipper.rectclip.cpp"
+#include "clipper.triangulation.cpp"

deps_src/colorsolver/CMakeLists.txt

@@ -0,0 +1,11 @@
+cmake_minimum_required(VERSION 3.13)
+project(colorsolver)
+
+add_library(colorsolver STATIC
+    ColorSolver.cpp
+    ColorSolver.hpp
+)
+
+target_include_directories(colorsolver PUBLIC ${CMAKE_CURRENT_SOURCE_DIR})
+target_compile_features(colorsolver PUBLIC cxx_std_17)
+target_link_libraries(colorsolver PUBLIC pigment_painter prusa_fdm_mixer)

deps_src/colorsolver/ColorSolver.hpp

@@ -0,0 +1,243 @@
+// ColorSolver
+// Copyright (C) 2026 sentientstardust
+
+// This program is free software: you can redistribute it and/or modify
+// it under the terms of the GNU Affero General Public License as published by
+// the Free Software Foundation, either version 3 of the License, or
+// (at your option) any later version.
+
+// This program is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU Affero General Public License for more details.
+
+// You should have received a copy of the GNU Affero General Public License
+// along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef slic3r_ColorSolver_hpp_
+#define slic3r_ColorSolver_hpp_
+
+#include <array>
+#include <cstddef>
+#include <cstdint>
+#include <map>
+#include <string>
+#include <vector>
+
+namespace Slic3r {
+
+enum class ColorSolverMixModel : int
+{
+    PigmentPainter = 0,
+    PrusaFdmMixer = 1
+};
+
+enum class ColorSolverLookupMode : int
+{
+    ClosestMix = 0,
+    BlendClosestTwo = 1
+};
+
+enum class ColorSolverMode : int
+{
+    RGB = 0,
+    Oklab = 1,
+    OklabSoftCap4Dark4 = 2
+};
+
+enum class ColorSolverStackComponentRole : uint8_t
+{
+    Generic = 0,
+    Cyan = 1,
+    Magenta = 2,
+    Yellow = 3,
+    Black = 4,
+    White = 5
+};
+
+enum class ColorSolverCalibratedStackModelKind : uint8_t
+{
+    None = 0,
+    CurrentLinearAffine = 1,
+    AlphaEffective = 2,
+    DepthKernelLinear = 3,
+    NearestMeasuredSample = 4
+};
+
+struct ColorSolverCalibratedStackModel {
+    ColorSolverCalibratedStackModelKind kind { ColorSolverCalibratedStackModelKind::None };
+    size_t component_count { 0 };
+    int measured_stack_depth { 0 };
+    std::vector<float> measured_layer_heights_mm;
+    std::vector<float> alphas;
+    std::vector<float> taus;
+    std::vector<float> coefficients_linear_rgb;
+    std::vector<float> measured_sample_rgbs;
+    std::vector<uint16_t> measured_sample_stacks;
+    mutable std::string cached_key;
+
+    bool valid() const;
+    std::string cache_key() const;
+};
+
+struct ColorSolverCandidateSet {
+    struct KdNode {
+        uint32_t candidate_idx { 0 };
+        int      left { -1 };
+        int      right { -1 };
+        uint8_t  axis { 0 };
+    };
+
+    size_t component_count { 0 };
+    std::vector<float> rgbs;
+    std::vector<float> perceptual_coords;
+    std::vector<float> weights;
+    std::vector<KdNode> kd_nodes;
+    std::vector<KdNode> perceptual_kd_nodes;
+    int kd_root { -1 };
+    int perceptual_kd_root { -1 };
+
+    bool empty() const
+    {
+        return component_count == 0 || rgbs.empty() || rgbs.size() % 3 != 0 ||
+               weights.size() != (rgbs.size() / 3) * component_count;
+    }
+};
+
+using ColorSolverCandidateCache = std::map<std::string, ColorSolverCandidateSet>;
+
+struct ColorSolverOrderedStackCandidateSet {
+    using KdNode = ColorSolverCandidateSet::KdNode;
+
+    size_t component_count { 0 };
+    int stack_depth { 0 };
+    int simulated_stack_depth { 0 };
+    std::vector<float> rgbs;
+    std::vector<float> perceptual_coords;
+    std::vector<uint16_t> stacks;
+    std::vector<KdNode> kd_nodes;
+    std::vector<KdNode> perceptual_kd_nodes;
+    int kd_root { -1 };
+    int perceptual_kd_root { -1 };
+
+    bool empty() const
+    {
+        return component_count == 0 || stack_depth <= 0 || rgbs.empty() || rgbs.size() % 3 != 0 ||
+               stacks.size() != (rgbs.size() / 3) * size_t(stack_depth);
+    }
+};
+
+struct ColorSolverOrderedStackResult {
+    std::vector<uint16_t> surface_to_deep;
+    std::array<float, 3> rgb { { 0.f, 0.f, 0.f } };
+    bool has_rgb { false };
+};
+
+using ColorSolverOrderedStackCandidateCache = std::map<std::string, ColorSolverOrderedStackCandidateSet>;
+
+ColorSolverMixModel color_solver_mix_model_from_index(int model);
+ColorSolverLookupMode color_solver_lookup_mode_from_index(int mode);
+ColorSolverMode color_solver_mode_from_index(int mode);
+
+int color_solver_total_units_for_component_count(size_t component_count);
+size_t color_solver_candidate_count(size_t component_count, int total_units);
+
+std::array<float, 3> mix_color_solver_components(const std::vector<std::array<float, 3>> &component_colors,
+                                                 const std::vector<int>                  &weights,
+                                                 ColorSolverMixModel                       mix_model);
+std::array<float, 3> mix_color_solver_components(const std::vector<std::array<float, 3>> &component_colors,
+                                                 const std::vector<float>                &weights,
+                                                 ColorSolverMixModel                       mix_model);
+std::array<float, 3> mix_color_solver_ordered_stack(const std::vector<std::array<float, 3>> &component_colors,
+                                                    const std::vector<uint16_t>             &surface_to_deep,
+                                                    const std::vector<float>                &layer_opacities,
+                                                    const std::array<float, 3>              &background_rgb,
+                                                    ColorSolverMixModel                       mix_model,
+                                                    float                                     surface_scatter = 0.f,
+                                                    bool                                      beer_lambert_rgb_correction = false,
+                                                    bool                                      td_effective_alpha_correction = false,
+                                                    const std::vector<ColorSolverStackComponentRole> &component_roles = {},
+                                                    const std::vector<float>                &layer_opacities_by_depth = {},
+                                                    const ColorSolverCalibratedStackModel   *calibrated_stack_model = nullptr,
+                                                    bool                                      adaptive_spectral_correction = false);
+std::array<float, 3> color_solver_oklab_from_srgb(const std::array<float, 3> &rgb);
+std::array<float, 3> color_solver_srgb_from_oklab(const std::array<float, 3> &oklab);
+
+std::string color_solver_candidate_cache_key(const std::vector<std::array<float, 3>> &component_colors,
+                                             ColorSolverMixModel                       mix_model,
+                                             int                                       total_units = 0);
+ColorSolverCandidateSet build_color_solver_candidates(const std::vector<std::array<float, 3>> &component_colors,
+                                                      ColorSolverMixModel                       mix_model,
+                                                      int                                       total_units = 0);
+void build_color_solver_candidate_kd_trees(ColorSolverCandidateSet &candidates);
+const ColorSolverCandidateSet &color_solver_candidates(ColorSolverCandidateCache                &cache,
+                                                       const std::vector<std::array<float, 3>> &component_colors,
+                                                       ColorSolverMixModel                       mix_model,
+                                                       int                                       total_units = 0);
+std::vector<float> solve_color_solver_weights_for_target(const ColorSolverCandidateSet &candidates,
+                                                         const std::array<float, 3>     &target_rgb,
+                                                         ColorSolverLookupMode           lookup_mode,
+                                                         ColorSolverMode                 solver_mode);
+std::string color_solver_ordered_stack_candidate_cache_key(const std::vector<std::array<float, 3>> &component_colors,
+                                                           const std::vector<float>                &layer_opacities,
+                                                           const std::array<float, 3>              &background_rgb,
+                                                           ColorSolverMixModel                       mix_model,
+                                                           int                                       stack_depth,
+                                                           int                                       simulated_stack_depth = 0,
+                                                           size_t                                    candidate_limit = 0,
+                                                           size_t                                    stack_item_limit = 0,
+                                                           float                                     surface_scatter = 0.f,
+                                                           bool                                      beer_lambert_rgb_correction = false,
+                                                           bool                                      td_effective_alpha_correction = false,
+                                                           const std::vector<ColorSolverStackComponentRole> &component_roles = {},
+                                                           bool                                      beam_search_stack_expansion = false,
+                                                           const std::vector<float>                  &layer_opacities_by_depth = {},
+                                                           const ColorSolverCalibratedStackModel     *calibrated_stack_model = nullptr,
+                                                           bool                                      adaptive_spectral_correction = false);
+ColorSolverOrderedStackCandidateSet build_color_solver_ordered_stack_candidates(
+    const std::vector<std::array<float, 3>> &component_colors,
+    const std::vector<float>                &layer_opacities,
+    const std::array<float, 3>              &background_rgb,
+    ColorSolverMixModel                       mix_model,
+    int                                       stack_depth,
+    int                                       simulated_stack_depth = 0,
+    size_t                                    candidate_limit = 0,
+    size_t                                    stack_item_limit = 0,
+    float                                     surface_scatter = 0.f,
+    bool                                      beer_lambert_rgb_correction = false,
+    bool                                      td_effective_alpha_correction = false,
+    const std::vector<ColorSolverStackComponentRole> &component_roles = {},
+    bool                                      beam_search_stack_expansion = false,
+    const std::vector<float>                 &layer_opacities_by_depth = {},
+    const ColorSolverCalibratedStackModel    *calibrated_stack_model = nullptr,
+    bool                                      adaptive_spectral_correction = false);
+const ColorSolverOrderedStackCandidateSet &color_solver_ordered_stack_candidates(
+    ColorSolverOrderedStackCandidateCache        &cache,
+    const std::vector<std::array<float, 3>>      &component_colors,
+    const std::vector<float>                     &layer_opacities,
+    const std::array<float, 3>                   &background_rgb,
+    ColorSolverMixModel                            mix_model,
+    int                                            stack_depth,
+    int                                            simulated_stack_depth = 0,
+    size_t                                         candidate_limit = 0,
+    size_t                                         stack_item_limit = 0,
+    float                                          surface_scatter = 0.f,
+    bool                                           beer_lambert_rgb_correction = false,
+    bool                                           td_effective_alpha_correction = false,
+    const std::vector<ColorSolverStackComponentRole> &component_roles = {},
+    bool                                           beam_search_stack_expansion = false,
+    const std::vector<float>                      &layer_opacities_by_depth = {},
+    const ColorSolverCalibratedStackModel         *calibrated_stack_model = nullptr,
+    bool                                           adaptive_spectral_correction = false);
+ColorSolverOrderedStackResult solve_color_solver_ordered_stack_result_for_target(
+    const ColorSolverOrderedStackCandidateSet &candidates,
+    const std::array<float, 3>                &target_rgb,
+    ColorSolverMode                            solver_mode);
+std::vector<uint16_t> solve_color_solver_ordered_stack_for_target(
+    const ColorSolverOrderedStackCandidateSet &candidates,
+    const std::array<float, 3>                &target_rgb,
+    ColorSolverMode                            solver_mode);
+
+} // namespace Slic3r
+
+#endif

deps_src/eigen/CMakeLists.txt

@@ -0,0 +1,14 @@
+cmake_minimum_required(VERSION 3.13)
+project(eigen)
+
+# Eigen3::Eigen is resolved in the parent CMakeLists before add_subdirectory(deps_src)
+# via find_package(Eigen3 CONFIG). This file only creates the unnamespaced "eigen" alias.
+if(NOT TARGET Eigen3::Eigen)
+    message(FATAL_ERROR "Eigen3::Eigen target not found. "
+        "Ensure find_package(Eigen3 CONFIG) is called before add_subdirectory(deps_src).")
+endif()
+
+if(NOT TARGET eigen)
+    add_library(eigen INTERFACE)
+    target_link_libraries(eigen INTERFACE Eigen3::Eigen)
+endif()

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

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

@@ -0,0 +1,935 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2011 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2011-2012 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// 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_EVALUATOR_H
+#define EIGEN_ASSIGN_EVALUATOR_H
+
+namespace Eigen {
+
+// This implementation is based on Assign.h
+
+namespace internal {
+  
+/***************************************************************************
+* Part 1 : the logic deciding a strategy for traversal and unrolling       *
+***************************************************************************/
+
+// copy_using_evaluator_traits is based on assign_traits
+
+template <typename DstEvaluator, typename SrcEvaluator, typename AssignFunc>
+struct copy_using_evaluator_traits
+{
+  typedef typename DstEvaluator::XprType Dst;
+  typedef typename Dst::Scalar DstScalar;
+  
+  enum {
+    DstFlags = DstEvaluator::Flags,
+    SrcFlags = SrcEvaluator::Flags
+  };
+  
+public:
+  enum {
+    DstAlignment = DstEvaluator::Alignment,
+    SrcAlignment = SrcEvaluator::Alignment,
+    DstHasDirectAccess = (DstFlags & DirectAccessBit) == DirectAccessBit,
+    JointAlignment = EIGEN_PLAIN_ENUM_MIN(DstAlignment,SrcAlignment)
+  };
+
+private:
+  enum {
+    InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime)
+              : int(DstFlags)&RowMajorBit ? int(Dst::ColsAtCompileTime)
+              : int(Dst::RowsAtCompileTime),
+    InnerMaxSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::MaxSizeAtCompileTime)
+              : int(DstFlags)&RowMajorBit ? int(Dst::MaxColsAtCompileTime)
+              : int(Dst::MaxRowsAtCompileTime),
+    OuterStride = int(outer_stride_at_compile_time<Dst>::ret),
+    MaxSizeAtCompileTime = Dst::SizeAtCompileTime
+  };
+
+  // TODO distinguish between linear traversal and inner-traversals
+  typedef typename find_best_packet<DstScalar,Dst::SizeAtCompileTime>::type LinearPacketType;
+  typedef typename find_best_packet<DstScalar,InnerSize>::type InnerPacketType;
+
+  enum {
+    LinearPacketSize = unpacket_traits<LinearPacketType>::size,
+    InnerPacketSize = unpacket_traits<InnerPacketType>::size
+  };
+
+public:
+  enum {
+    LinearRequiredAlignment = unpacket_traits<LinearPacketType>::alignment,
+    InnerRequiredAlignment = unpacket_traits<InnerPacketType>::alignment
+  };
+
+private:
+  enum {
+    DstIsRowMajor = DstFlags&RowMajorBit,
+    SrcIsRowMajor = SrcFlags&RowMajorBit,
+    StorageOrdersAgree = (int(DstIsRowMajor) == int(SrcIsRowMajor)),
+    MightVectorize = bool(StorageOrdersAgree)
+                  && (int(DstFlags) & int(SrcFlags) & ActualPacketAccessBit)
+                  && bool(functor_traits<AssignFunc>::PacketAccess),
+    MayInnerVectorize  = MightVectorize
+                       && int(InnerSize)!=Dynamic && int(InnerSize)%int(InnerPacketSize)==0
+                       && int(OuterStride)!=Dynamic && int(OuterStride)%int(InnerPacketSize)==0
+                       && (EIGEN_UNALIGNED_VECTORIZE  || int(JointAlignment)>=int(InnerRequiredAlignment)),
+    MayLinearize = bool(StorageOrdersAgree) && (int(DstFlags) & int(SrcFlags) & LinearAccessBit),
+    MayLinearVectorize = bool(MightVectorize) && bool(MayLinearize) && bool(DstHasDirectAccess)
+                       && (EIGEN_UNALIGNED_VECTORIZE || (int(DstAlignment)>=int(LinearRequiredAlignment)) || MaxSizeAtCompileTime == Dynamic),
+      /* If the destination isn't aligned, we have to do runtime checks and we don't unroll,
+         so it's only good for large enough sizes. */
+    MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+                       && (int(InnerMaxSize)==Dynamic || int(InnerMaxSize)>=(EIGEN_UNALIGNED_VECTORIZE?InnerPacketSize:(3*InnerPacketSize)))
+      /* slice vectorization can be slow, so we only want it if the slices are big, which is
+         indicated by InnerMaxSize rather than InnerSize, think of the case of a dynamic block
+         in a fixed-size matrix
+         However, with EIGEN_UNALIGNED_VECTORIZE and unrolling, slice vectorization is still worth it */
+  };
+
+public:
+  enum {
+    Traversal = int(MayLinearVectorize) && (LinearPacketSize>InnerPacketSize) ? int(LinearVectorizedTraversal)
+              : int(MayInnerVectorize)   ? int(InnerVectorizedTraversal)
+              : int(MayLinearVectorize)  ? int(LinearVectorizedTraversal)
+              : int(MaySliceVectorize)   ? int(SliceVectorizedTraversal)
+              : int(MayLinearize)        ? int(LinearTraversal)
+                                         : int(DefaultTraversal),
+    Vectorized = int(Traversal) == InnerVectorizedTraversal
+              || int(Traversal) == LinearVectorizedTraversal
+              || int(Traversal) == SliceVectorizedTraversal
+  };
+
+  typedef typename conditional<int(Traversal)==LinearVectorizedTraversal, LinearPacketType, InnerPacketType>::type PacketType;
+
+private:
+  enum {
+    ActualPacketSize    = int(Traversal)==LinearVectorizedTraversal ? LinearPacketSize
+                        : Vectorized ? InnerPacketSize
+                        : 1,
+    UnrollingLimit      = EIGEN_UNROLLING_LIMIT * ActualPacketSize,
+    MayUnrollCompletely = int(Dst::SizeAtCompileTime) != Dynamic
+                       && int(Dst::SizeAtCompileTime) * (int(DstEvaluator::CoeffReadCost)+int(SrcEvaluator::CoeffReadCost)) <= int(UnrollingLimit),
+    MayUnrollInner      = int(InnerSize) != Dynamic
+                       && int(InnerSize) * (int(DstEvaluator::CoeffReadCost)+int(SrcEvaluator::CoeffReadCost)) <= int(UnrollingLimit)
+  };
+
+public:
+  enum {
+    Unrolling = (int(Traversal) == int(InnerVectorizedTraversal) || int(Traversal) == int(DefaultTraversal))
+                ? (
+                    int(MayUnrollCompletely) ? int(CompleteUnrolling)
+                  : int(MayUnrollInner)      ? int(InnerUnrolling)
+                                             : int(NoUnrolling)
+                  )
+              : int(Traversal) == int(LinearVectorizedTraversal)
+                ? ( bool(MayUnrollCompletely) && ( EIGEN_UNALIGNED_VECTORIZE || (int(DstAlignment)>=int(LinearRequiredAlignment)))
+                          ? int(CompleteUnrolling)
+                          : int(NoUnrolling) )
+              : int(Traversal) == int(LinearTraversal)
+                ? ( bool(MayUnrollCompletely) ? int(CompleteUnrolling) 
+                                              : int(NoUnrolling) )
+#if EIGEN_UNALIGNED_VECTORIZE
+              : int(Traversal) == int(SliceVectorizedTraversal)
+                ? ( bool(MayUnrollInner) ? int(InnerUnrolling)
+                                         : int(NoUnrolling) )
+#endif
+              : int(NoUnrolling)
+  };
+
+#ifdef EIGEN_DEBUG_ASSIGN
+  static void debug()
+  {
+    std::cerr << "DstXpr: " << typeid(typename DstEvaluator::XprType).name() << std::endl;
+    std::cerr << "SrcXpr: " << typeid(typename SrcEvaluator::XprType).name() << std::endl;
+    std::cerr.setf(std::ios::hex, std::ios::basefield);
+    std::cerr << "DstFlags" << " = " << DstFlags << " (" << demangle_flags(DstFlags) << " )" << std::endl;
+    std::cerr << "SrcFlags" << " = " << SrcFlags << " (" << demangle_flags(SrcFlags) << " )" << std::endl;
+    std::cerr.unsetf(std::ios::hex);
+    EIGEN_DEBUG_VAR(DstAlignment)
+    EIGEN_DEBUG_VAR(SrcAlignment)
+    EIGEN_DEBUG_VAR(LinearRequiredAlignment)
+    EIGEN_DEBUG_VAR(InnerRequiredAlignment)
+    EIGEN_DEBUG_VAR(JointAlignment)
+    EIGEN_DEBUG_VAR(InnerSize)
+    EIGEN_DEBUG_VAR(InnerMaxSize)
+    EIGEN_DEBUG_VAR(LinearPacketSize)
+    EIGEN_DEBUG_VAR(InnerPacketSize)
+    EIGEN_DEBUG_VAR(ActualPacketSize)
+    EIGEN_DEBUG_VAR(StorageOrdersAgree)
+    EIGEN_DEBUG_VAR(MightVectorize)
+    EIGEN_DEBUG_VAR(MayLinearize)
+    EIGEN_DEBUG_VAR(MayInnerVectorize)
+    EIGEN_DEBUG_VAR(MayLinearVectorize)
+    EIGEN_DEBUG_VAR(MaySliceVectorize)
+    std::cerr << "Traversal" << " = " << Traversal << " (" << demangle_traversal(Traversal) << ")" << std::endl;
+    EIGEN_DEBUG_VAR(SrcEvaluator::CoeffReadCost)
+    EIGEN_DEBUG_VAR(UnrollingLimit)
+    EIGEN_DEBUG_VAR(MayUnrollCompletely)
+    EIGEN_DEBUG_VAR(MayUnrollInner)
+    std::cerr << "Unrolling" << " = " << Unrolling << " (" << demangle_unrolling(Unrolling) << ")" << std::endl;
+    std::cerr << std::endl;
+  }
+#endif
+};
+
+/***************************************************************************
+* Part 2 : meta-unrollers
+***************************************************************************/
+
+/************************
+*** Default traversal ***
+************************/
+
+template<typename Kernel, int Index, int Stop>
+struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling
+{
+  // FIXME: this is not very clean, perhaps this information should be provided by the kernel?
+  typedef typename Kernel::DstEvaluatorType DstEvaluatorType;
+  typedef typename DstEvaluatorType::XprType DstXprType;
+  
+  enum {
+    outer = Index / DstXprType::InnerSizeAtCompileTime,
+    inner = Index % DstXprType::InnerSizeAtCompileTime
+  };
+
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    kernel.assignCoeffByOuterInner(outer, inner);
+    copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, Index+1, Stop>::run(kernel);
+  }
+};
+
+template<typename Kernel, int Stop>
+struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, Stop, Stop>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) { }
+};
+
+template<typename Kernel, int Index_, int Stop>
+struct copy_using_evaluator_DefaultTraversal_InnerUnrolling
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel, Index outer)
+  {
+    kernel.assignCoeffByOuterInner(outer, Index_);
+    copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, Index_+1, Stop>::run(kernel, outer);
+  }
+};
+
+template<typename Kernel, int Stop>
+struct copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, Stop, Stop>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&, Index) { }
+};
+
+/***********************
+*** Linear traversal ***
+***********************/
+
+template<typename Kernel, int Index, int Stop>
+struct copy_using_evaluator_LinearTraversal_CompleteUnrolling
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel)
+  {
+    kernel.assignCoeff(Index);
+    copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, Index+1, Stop>::run(kernel);
+  }
+};
+
+template<typename Kernel, int Stop>
+struct copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, Stop, Stop>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) { }
+};
+
+/**************************
+*** Inner vectorization ***
+**************************/
+
+template<typename Kernel, int Index, int Stop>
+struct copy_using_evaluator_innervec_CompleteUnrolling
+{
+  // FIXME: this is not very clean, perhaps this information should be provided by the kernel?
+  typedef typename Kernel::DstEvaluatorType DstEvaluatorType;
+  typedef typename DstEvaluatorType::XprType DstXprType;
+  typedef typename Kernel::PacketType PacketType;
+  
+  enum {
+    outer = Index / DstXprType::InnerSizeAtCompileTime,
+    inner = Index % DstXprType::InnerSizeAtCompileTime,
+    SrcAlignment = Kernel::AssignmentTraits::SrcAlignment,
+    DstAlignment = Kernel::AssignmentTraits::DstAlignment
+  };
+
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, inner);
+    enum { NextIndex = Index + unpacket_traits<PacketType>::size };
+    copy_using_evaluator_innervec_CompleteUnrolling<Kernel, NextIndex, Stop>::run(kernel);
+  }
+};
+
+template<typename Kernel, int Stop>
+struct copy_using_evaluator_innervec_CompleteUnrolling<Kernel, Stop, Stop>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) { }
+};
+
+template<typename Kernel, int Index_, int Stop, int SrcAlignment, int DstAlignment>
+struct copy_using_evaluator_innervec_InnerUnrolling
+{
+  typedef typename Kernel::PacketType PacketType;
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel, Index outer)
+  {
+    kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, Index_);
+    enum { NextIndex = Index_ + unpacket_traits<PacketType>::size };
+    copy_using_evaluator_innervec_InnerUnrolling<Kernel, NextIndex, Stop, SrcAlignment, DstAlignment>::run(kernel, outer);
+  }
+};
+
+template<typename Kernel, int Stop, int SrcAlignment, int DstAlignment>
+struct copy_using_evaluator_innervec_InnerUnrolling<Kernel, Stop, Stop, SrcAlignment, DstAlignment>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &, Index) { }
+};
+
+/***************************************************************************
+* Part 3 : implementation of all cases
+***************************************************************************/
+
+// dense_assignment_loop is based on assign_impl
+
+template<typename Kernel,
+         int Traversal = Kernel::AssignmentTraits::Traversal,
+         int Unrolling = Kernel::AssignmentTraits::Unrolling>
+struct dense_assignment_loop;
+
+/************************
+*** Default traversal ***
+************************/
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, DefaultTraversal, NoUnrolling>
+{
+  EIGEN_DEVICE_FUNC static void EIGEN_STRONG_INLINE run(Kernel &kernel)
+  {
+    for(Index outer = 0; outer < kernel.outerSize(); ++outer) {
+      for(Index inner = 0; inner < kernel.innerSize(); ++inner) {
+        kernel.assignCoeffByOuterInner(outer, inner);
+      }
+    }
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, DefaultTraversal, CompleteUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, 0, DstXprType::SizeAtCompileTime>::run(kernel);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, DefaultTraversal, InnerUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+
+    const Index outerSize = kernel.outerSize();
+    for(Index outer = 0; outer < outerSize; ++outer)
+      copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, 0, DstXprType::InnerSizeAtCompileTime>::run(kernel, outer);
+  }
+};
+
+/***************************
+*** Linear vectorization ***
+***************************/
+
+
+// The goal of unaligned_dense_assignment_loop is simply to factorize the handling
+// of the non vectorizable beginning and ending parts
+
+template <bool IsAligned = false>
+struct unaligned_dense_assignment_loop
+{
+  // if IsAligned = true, then do nothing
+  template <typename Kernel>
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&, Index, Index) {}
+};
+
+template <>
+struct unaligned_dense_assignment_loop<false>
+{
+  // MSVC must not inline this functions. If it does, it fails to optimize the
+  // packet access path.
+  // FIXME check which version exhibits this issue
+#if EIGEN_COMP_MSVC
+  template <typename Kernel>
+  static EIGEN_DONT_INLINE void run(Kernel &kernel,
+                                    Index start,
+                                    Index end)
+#else
+  template <typename Kernel>
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel,
+                                      Index start,
+                                      Index end)
+#endif
+  {
+    for (Index index = start; index < end; ++index)
+      kernel.assignCoeff(index);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, LinearVectorizedTraversal, NoUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    const Index size = kernel.size();
+    typedef typename Kernel::Scalar Scalar;
+    typedef typename Kernel::PacketType PacketType;
+    enum {
+      requestedAlignment = Kernel::AssignmentTraits::LinearRequiredAlignment,
+      packetSize = unpacket_traits<PacketType>::size,
+      dstIsAligned = int(Kernel::AssignmentTraits::DstAlignment)>=int(requestedAlignment),
+      dstAlignment = packet_traits<Scalar>::AlignedOnScalar ? int(requestedAlignment)
+                                                            : int(Kernel::AssignmentTraits::DstAlignment),
+      srcAlignment = Kernel::AssignmentTraits::JointAlignment
+    };
+    const Index alignedStart = dstIsAligned ? 0 : internal::first_aligned<requestedAlignment>(kernel.dstDataPtr(), size);
+    const Index alignedEnd = alignedStart + ((size-alignedStart)/packetSize)*packetSize;
+
+    unaligned_dense_assignment_loop<dstIsAligned!=0>::run(kernel, 0, alignedStart);
+
+    for(Index index = alignedStart; index < alignedEnd; index += packetSize)
+      kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
+
+    unaligned_dense_assignment_loop<>::run(kernel, alignedEnd, size);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, LinearVectorizedTraversal, CompleteUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    typedef typename Kernel::PacketType PacketType;
+    
+    enum { size = DstXprType::SizeAtCompileTime,
+           packetSize =unpacket_traits<PacketType>::size,
+           alignedSize = (size/packetSize)*packetSize };
+
+    copy_using_evaluator_innervec_CompleteUnrolling<Kernel, 0, alignedSize>::run(kernel);
+    copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, alignedSize, size>::run(kernel);
+  }
+};
+
+/**************************
+*** Inner vectorization ***
+**************************/
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, NoUnrolling>
+{
+  typedef typename Kernel::PacketType PacketType;
+  enum {
+    SrcAlignment = Kernel::AssignmentTraits::SrcAlignment,
+    DstAlignment = Kernel::AssignmentTraits::DstAlignment
+  };
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    const Index innerSize = kernel.innerSize();
+    const Index outerSize = kernel.outerSize();
+    const Index packetSize = unpacket_traits<PacketType>::size;
+    for(Index outer = 0; outer < outerSize; ++outer)
+      for(Index inner = 0; inner < innerSize; inner+=packetSize)
+        kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, inner);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, CompleteUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    copy_using_evaluator_innervec_CompleteUnrolling<Kernel, 0, DstXprType::SizeAtCompileTime>::run(kernel);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, InnerUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    typedef typename Kernel::AssignmentTraits Traits;
+    const Index outerSize = kernel.outerSize();
+    for(Index outer = 0; outer < outerSize; ++outer)
+      copy_using_evaluator_innervec_InnerUnrolling<Kernel, 0, DstXprType::InnerSizeAtCompileTime,
+                                                   Traits::SrcAlignment, Traits::DstAlignment>::run(kernel, outer);
+  }
+};
+
+/***********************
+*** Linear traversal ***
+***********************/
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, LinearTraversal, NoUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    const Index size = kernel.size();
+    for(Index i = 0; i < size; ++i)
+      kernel.assignCoeff(i);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, LinearTraversal, CompleteUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, 0, DstXprType::SizeAtCompileTime>::run(kernel);
+  }
+};
+
+/**************************
+*** Slice vectorization ***
+***************************/
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, SliceVectorizedTraversal, NoUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::Scalar Scalar;
+    typedef typename Kernel::PacketType PacketType;
+    enum {
+      packetSize = unpacket_traits<PacketType>::size,
+      requestedAlignment = int(Kernel::AssignmentTraits::InnerRequiredAlignment),
+      alignable = packet_traits<Scalar>::AlignedOnScalar || int(Kernel::AssignmentTraits::DstAlignment)>=sizeof(Scalar),
+      dstIsAligned = int(Kernel::AssignmentTraits::DstAlignment)>=int(requestedAlignment),
+      dstAlignment = alignable ? int(requestedAlignment)
+                               : int(Kernel::AssignmentTraits::DstAlignment)
+    };
+    const Scalar *dst_ptr = kernel.dstDataPtr();
+    if((!bool(dstIsAligned)) && (UIntPtr(dst_ptr) % sizeof(Scalar))>0)
+    {
+      // the pointer is not aligend-on scalar, so alignment is not possible
+      return dense_assignment_loop<Kernel,DefaultTraversal,NoUnrolling>::run(kernel);
+    }
+    const Index packetAlignedMask = packetSize - 1;
+    const Index innerSize = kernel.innerSize();
+    const Index outerSize = kernel.outerSize();
+    const Index alignedStep = alignable ? (packetSize - kernel.outerStride() % packetSize) & packetAlignedMask : 0;
+    Index alignedStart = ((!alignable) || bool(dstIsAligned)) ? 0 : internal::first_aligned<requestedAlignment>(dst_ptr, innerSize);
+
+    for(Index outer = 0; outer < outerSize; ++outer)
+    {
+      const Index alignedEnd = alignedStart + ((innerSize-alignedStart) & ~packetAlignedMask);
+      // do the non-vectorizable part of the assignment
+      for(Index inner = 0; inner<alignedStart ; ++inner)
+        kernel.assignCoeffByOuterInner(outer, inner);
+
+      // do the vectorizable part of the assignment
+      for(Index inner = alignedStart; inner<alignedEnd; inner+=packetSize)
+        kernel.template assignPacketByOuterInner<dstAlignment, Unaligned, PacketType>(outer, inner);
+
+      // do the non-vectorizable part of the assignment
+      for(Index inner = alignedEnd; inner<innerSize ; ++inner)
+        kernel.assignCoeffByOuterInner(outer, inner);
+
+      alignedStart = numext::mini((alignedStart+alignedStep)%packetSize, innerSize);
+    }
+  }
+};
+
+#if EIGEN_UNALIGNED_VECTORIZE
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, SliceVectorizedTraversal, InnerUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    typedef typename Kernel::PacketType PacketType;
+
+    enum { size = DstXprType::InnerSizeAtCompileTime,
+           packetSize =unpacket_traits<PacketType>::size,
+           vectorizableSize = (size/packetSize)*packetSize };
+
+    for(Index outer = 0; outer < kernel.outerSize(); ++outer)
+    {
+      copy_using_evaluator_innervec_InnerUnrolling<Kernel, 0, vectorizableSize, 0, 0>::run(kernel, outer);
+      copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, vectorizableSize, size>::run(kernel, outer);
+    }
+  }
+};
+#endif
+
+
+/***************************************************************************
+* Part 4 : Generic dense assignment kernel
+***************************************************************************/
+
+// This class generalize the assignment of a coefficient (or packet) from one dense evaluator
+// to another dense writable evaluator.
+// It is parametrized by the two evaluators, and the actual assignment functor.
+// This abstraction level permits to keep the evaluation loops as simple and as generic as possible.
+// One can customize the assignment using this generic dense_assignment_kernel with different
+// functors, or by completely overloading it, by-passing a functor.
+template<typename DstEvaluatorTypeT, typename SrcEvaluatorTypeT, typename Functor, int Version = Specialized>
+class generic_dense_assignment_kernel
+{
+protected:
+  typedef typename DstEvaluatorTypeT::XprType DstXprType;
+  typedef typename SrcEvaluatorTypeT::XprType SrcXprType;
+public:
+  
+  typedef DstEvaluatorTypeT DstEvaluatorType;
+  typedef SrcEvaluatorTypeT SrcEvaluatorType;
+  typedef typename DstEvaluatorType::Scalar Scalar;
+  typedef copy_using_evaluator_traits<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor> AssignmentTraits;
+  typedef typename AssignmentTraits::PacketType PacketType;
+  
+  
+  EIGEN_DEVICE_FUNC generic_dense_assignment_kernel(DstEvaluatorType &dst, const SrcEvaluatorType &src, const Functor &func, DstXprType& dstExpr)
+    : m_dst(dst), m_src(src), m_functor(func), m_dstExpr(dstExpr)
+  {
+    #ifdef EIGEN_DEBUG_ASSIGN
+    AssignmentTraits::debug();
+    #endif
+  }
+  
+  EIGEN_DEVICE_FUNC Index size() const        { return m_dstExpr.size(); }
+  EIGEN_DEVICE_FUNC Index innerSize() const   { return m_dstExpr.innerSize(); }
+  EIGEN_DEVICE_FUNC Index outerSize() const   { return m_dstExpr.outerSize(); }
+  EIGEN_DEVICE_FUNC Index rows() const        { return m_dstExpr.rows(); }
+  EIGEN_DEVICE_FUNC Index cols() const        { return m_dstExpr.cols(); }
+  EIGEN_DEVICE_FUNC Index outerStride() const { return m_dstExpr.outerStride(); }
+  
+  EIGEN_DEVICE_FUNC DstEvaluatorType& dstEvaluator() { return m_dst; }
+  EIGEN_DEVICE_FUNC const SrcEvaluatorType& srcEvaluator() const { return m_src; }
+  
+  /// Assign src(row,col) to dst(row,col) through the assignment functor.
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(Index row, Index col)
+  {
+    m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
+  }
+  
+  /// \sa assignCoeff(Index,Index)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(Index index)
+  {
+    m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index));
+  }
+  
+  /// \sa assignCoeff(Index,Index)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeffByOuterInner(Index outer, Index inner)
+  {
+    Index row = rowIndexByOuterInner(outer, inner); 
+    Index col = colIndexByOuterInner(outer, inner); 
+    assignCoeff(row, col);
+  }
+  
+  
+  template<int StoreMode, int LoadMode, typename PacketType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignPacket(Index row, Index col)
+  {
+    m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(row,col), m_src.template packet<LoadMode,PacketType>(row,col));
+  }
+  
+  template<int StoreMode, int LoadMode, typename PacketType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignPacket(Index index)
+  {
+    m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
+  }
+  
+  template<int StoreMode, int LoadMode, typename PacketType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignPacketByOuterInner(Index outer, Index inner)
+  {
+    Index row = rowIndexByOuterInner(outer, inner); 
+    Index col = colIndexByOuterInner(outer, inner);
+    assignPacket<StoreMode,LoadMode,PacketType>(row, col);
+  }
+  
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index rowIndexByOuterInner(Index outer, Index inner)
+  {
+    typedef typename DstEvaluatorType::ExpressionTraits Traits;
+    return int(Traits::RowsAtCompileTime) == 1 ? 0
+      : int(Traits::ColsAtCompileTime) == 1 ? inner
+      : int(DstEvaluatorType::Flags)&RowMajorBit ? outer
+      : inner;
+  }
+
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index colIndexByOuterInner(Index outer, Index inner)
+  {
+    typedef typename DstEvaluatorType::ExpressionTraits Traits;
+    return int(Traits::ColsAtCompileTime) == 1 ? 0
+      : int(Traits::RowsAtCompileTime) == 1 ? inner
+      : int(DstEvaluatorType::Flags)&RowMajorBit ? inner
+      : outer;
+  }
+
+  EIGEN_DEVICE_FUNC const Scalar* dstDataPtr() const
+  {
+    return m_dstExpr.data();
+  }
+  
+protected:
+  DstEvaluatorType& m_dst;
+  const SrcEvaluatorType& m_src;
+  const Functor &m_functor;
+  // TODO find a way to avoid the needs of the original expression
+  DstXprType& m_dstExpr;
+};
+
+/***************************************************************************
+* Part 5 : Entry point for dense rectangular assignment
+***************************************************************************/
+
+template<typename DstXprType,typename SrcXprType, typename Functor>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void resize_if_allowed(DstXprType &dst, const SrcXprType& src, const Functor &/*func*/)
+{
+  EIGEN_ONLY_USED_FOR_DEBUG(dst);
+  EIGEN_ONLY_USED_FOR_DEBUG(src);
+  eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
+}
+
+template<typename DstXprType,typename SrcXprType, typename T1, typename T2>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void resize_if_allowed(DstXprType &dst, const SrcXprType& src, const internal::assign_op<T1,T2> &/*func*/)
+{
+  Index dstRows = src.rows();
+  Index dstCols = src.cols();
+  if(((dst.rows()!=dstRows) || (dst.cols()!=dstCols)))
+    dst.resize(dstRows, dstCols);
+  eigen_assert(dst.rows() == dstRows && dst.cols() == dstCols);
+}
+
+template<typename DstXprType, typename SrcXprType, typename Functor>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_dense_assignment_loop(DstXprType& dst, const SrcXprType& src, const Functor &func)
+{
+  typedef evaluator<DstXprType> DstEvaluatorType;
+  typedef evaluator<SrcXprType> SrcEvaluatorType;
+
+  SrcEvaluatorType srcEvaluator(src);
+
+  // NOTE To properly handle A = (A*A.transpose())/s with A rectangular,
+  // we need to resize the destination after the source evaluator has been created.
+  resize_if_allowed(dst, src, func);
+
+  DstEvaluatorType dstEvaluator(dst);
+    
+  typedef generic_dense_assignment_kernel<DstEvaluatorType,SrcEvaluatorType,Functor> Kernel;
+  Kernel kernel(dstEvaluator, srcEvaluator, func, dst.const_cast_derived());
+
+  dense_assignment_loop<Kernel>::run(kernel);
+}
+
+template<typename DstXprType, typename SrcXprType>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_dense_assignment_loop(DstXprType& dst, const SrcXprType& src)
+{
+  call_dense_assignment_loop(dst, src, internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar>());
+}
+
+/***************************************************************************
+* Part 6 : Generic assignment
+***************************************************************************/
+
+// Based on the respective shapes of the destination and source,
+// the class AssignmentKind determine the kind of assignment mechanism.
+// AssignmentKind must define a Kind typedef.
+template<typename DstShape, typename SrcShape> struct AssignmentKind;
+
+// Assignement kind defined in this file:
+struct Dense2Dense {};
+struct EigenBase2EigenBase {};
+
+template<typename,typename> struct AssignmentKind { typedef EigenBase2EigenBase Kind; };
+template<> struct AssignmentKind<DenseShape,DenseShape> { typedef Dense2Dense Kind; };
+    
+// This is the main assignment class
+template< typename DstXprType, typename SrcXprType, typename Functor,
+          typename Kind = typename AssignmentKind< typename evaluator_traits<DstXprType>::Shape , typename evaluator_traits<SrcXprType>::Shape >::Kind,
+          typename EnableIf = void>
+struct Assignment;
+
+
+// The only purpose of this call_assignment() function is to deal with noalias() / "assume-aliasing" and automatic transposition.
+// Indeed, I (Gael) think that this concept of "assume-aliasing" was a mistake, and it makes thing quite complicated.
+// So this intermediate function removes everything related to "assume-aliasing" such that Assignment
+// does not has to bother about these annoying details.
+
+template<typename Dst, typename Src>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment(Dst& dst, const Src& src)
+{
+  call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
+}
+template<typename Dst, typename Src>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment(const Dst& dst, const Src& src)
+{
+  call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
+}
+                     
+// Deal with "assume-aliasing"
+template<typename Dst, typename Src, typename Func>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment(Dst& dst, const Src& src, const Func& func, typename enable_if< evaluator_assume_aliasing<Src>::value, void*>::type = 0)
+{
+  typename plain_matrix_type<Src>::type tmp(src);
+  call_assignment_no_alias(dst, tmp, func);
+}
+
+template<typename Dst, typename Src, typename Func>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment(Dst& dst, const Src& src, const Func& func, typename enable_if<!evaluator_assume_aliasing<Src>::value, void*>::type = 0)
+{
+  call_assignment_no_alias(dst, src, func);
+}
+
+// by-pass "assume-aliasing"
+// When there is no aliasing, we require that 'dst' has been properly resized
+template<typename Dst, template <typename> class StorageBase, typename Src, typename Func>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment(NoAlias<Dst,StorageBase>& dst, const Src& src, const Func& func)
+{
+  call_assignment_no_alias(dst.expression(), src, func);
+}
+
+
+template<typename Dst, typename Src, typename Func>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment_no_alias(Dst& dst, const Src& src, const Func& func)
+{
+  enum {
+    NeedToTranspose = (    (int(Dst::RowsAtCompileTime) == 1 && int(Src::ColsAtCompileTime) == 1)
+                        || (int(Dst::ColsAtCompileTime) == 1 && int(Src::RowsAtCompileTime) == 1)
+                      ) && int(Dst::SizeAtCompileTime) != 1
+  };
+
+  typedef typename internal::conditional<NeedToTranspose, Transpose<Dst>, Dst>::type ActualDstTypeCleaned;
+  typedef typename internal::conditional<NeedToTranspose, Transpose<Dst>, Dst&>::type ActualDstType;
+  ActualDstType actualDst(dst);
+  
+  // TODO check whether this is the right place to perform these checks:
+  EIGEN_STATIC_ASSERT_LVALUE(Dst)
+  EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
+  EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
+  
+  Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
+}
+template<typename Dst, typename Src>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment_no_alias(Dst& dst, const Src& src)
+{
+  call_assignment_no_alias(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
+}
+
+template<typename Dst, typename Src, typename Func>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment_no_alias_no_transpose(Dst& dst, const Src& src, const Func& func)
+{
+  // TODO check whether this is the right place to perform these checks:
+  EIGEN_STATIC_ASSERT_LVALUE(Dst)
+  EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Dst,Src)
+  EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename Dst::Scalar,typename Src::Scalar);
+
+  Assignment<Dst,Src,Func>::run(dst, src, func);
+}
+template<typename Dst, typename Src>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment_no_alias_no_transpose(Dst& dst, const Src& src)
+{
+  call_assignment_no_alias_no_transpose(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
+}
+
+// forward declaration
+template<typename Dst, typename Src> void check_for_aliasing(const Dst &dst, const Src &src);
+
+// Generic Dense to Dense assignment
+// Note that the last template argument "Weak" is needed to make it possible to perform
+// both partial specialization+SFINAE without ambiguous specialization
+template< typename DstXprType, typename SrcXprType, typename Functor, typename Weak>
+struct Assignment<DstXprType, SrcXprType, Functor, Dense2Dense, Weak>
+{
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const Functor &func)
+  {
+#ifndef EIGEN_NO_DEBUG
+    internal::check_for_aliasing(dst, src);
+#endif
+    
+    call_dense_assignment_loop(dst, src, func);
+  }
+};
+
+// Generic assignment through evalTo.
+// TODO: not sure we have to keep that one, but it helps porting current code to new evaluator mechanism.
+// Note that the last template argument "Weak" is needed to make it possible to perform
+// both partial specialization+SFINAE without ambiguous specialization
+template< typename DstXprType, typename SrcXprType, typename Functor, typename Weak>
+struct Assignment<DstXprType, SrcXprType, Functor, EigenBase2EigenBase, Weak>
+{
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
+    src.evalTo(dst);
+  }
+
+  // NOTE The following two functions are templated to avoid their instanciation if not needed
+  //      This is needed because some expressions supports evalTo only and/or have 'void' as scalar type.
+  template<typename SrcScalarType>
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const internal::add_assign_op<typename DstXprType::Scalar,SrcScalarType> &/*func*/)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
+    src.addTo(dst);
+  }
+
+  template<typename SrcScalarType>
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const internal::sub_assign_op<typename DstXprType::Scalar,SrcScalarType> &/*func*/)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
+    src.subTo(dst);
+  }
+};
+
+} // namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_ASSIGN_EVALUATOR_H

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

@@ -0,0 +1,178 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+ Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+ 
+ 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 Intel(R) MKL
+ *   MKL VML support for coefficient-wise unary Eigen expressions like a=b.sin()
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_ASSIGN_VML_H
+#define EIGEN_ASSIGN_VML_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Dst, typename Src>
+class vml_assign_traits
+{
+  private:
+    enum {
+      DstHasDirectAccess = Dst::Flags & DirectAccessBit,
+      SrcHasDirectAccess = Src::Flags & DirectAccessBit,
+      StorageOrdersAgree = (int(Dst::IsRowMajor) == int(Src::IsRowMajor)),
+      InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime)
+                : int(Dst::Flags)&RowMajorBit ? int(Dst::ColsAtCompileTime)
+                : int(Dst::RowsAtCompileTime),
+      InnerMaxSize  = int(Dst::IsVectorAtCompileTime) ? int(Dst::MaxSizeAtCompileTime)
+                    : int(Dst::Flags)&RowMajorBit ? int(Dst::MaxColsAtCompileTime)
+                    : int(Dst::MaxRowsAtCompileTime),
+      MaxSizeAtCompileTime = Dst::SizeAtCompileTime,
+
+      MightEnableVml = StorageOrdersAgree && DstHasDirectAccess && SrcHasDirectAccess && Src::InnerStrideAtCompileTime==1 && Dst::InnerStrideAtCompileTime==1,
+      MightLinearize = MightEnableVml && (int(Dst::Flags) & int(Src::Flags) & LinearAccessBit),
+      VmlSize = MightLinearize ? MaxSizeAtCompileTime : InnerMaxSize,
+      LargeEnough = VmlSize==Dynamic || VmlSize>=EIGEN_MKL_VML_THRESHOLD
+    };
+  public:
+    enum {
+      EnableVml = MightEnableVml && LargeEnough,
+      Traversal = MightLinearize ? LinearTraversal : DefaultTraversal
+    };
+};
+
+#define EIGEN_PP_EXPAND(ARG) ARG
+#if !defined (EIGEN_FAST_MATH) || (EIGEN_FAST_MATH != 1)
+#define EIGEN_VMLMODE_EXPAND_LA , VML_HA
+#else
+#define EIGEN_VMLMODE_EXPAND_LA , VML_LA
+#endif
+
+#define EIGEN_VMLMODE_EXPAND__ 
+
+#define EIGEN_VMLMODE_PREFIX_LA vm
+#define EIGEN_VMLMODE_PREFIX__  v
+#define EIGEN_VMLMODE_PREFIX(VMLMODE) EIGEN_CAT(EIGEN_VMLMODE_PREFIX_,VMLMODE)
+
+#define EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE, VMLMODE)                                           \
+  template< typename DstXprType, typename SrcXprNested>                                                                         \
+  struct Assignment<DstXprType, CwiseUnaryOp<scalar_##EIGENOP##_op<EIGENTYPE>, SrcXprNested>, assign_op<EIGENTYPE,EIGENTYPE>,   \
+                   Dense2Dense, typename enable_if<vml_assign_traits<DstXprType,SrcXprNested>::EnableVml>::type> {              \
+    typedef CwiseUnaryOp<scalar_##EIGENOP##_op<EIGENTYPE>, SrcXprNested> SrcXprType;                                            \
+    static void run(DstXprType &dst, const SrcXprType &src, const assign_op<EIGENTYPE,EIGENTYPE> &func) {                       \
+      resize_if_allowed(dst, src, func);                                                                                        \
+      eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());                                                       \
+      if(vml_assign_traits<DstXprType,SrcXprNested>::Traversal==LinearTraversal) {                                              \
+        VMLOP(dst.size(), (const VMLTYPE*)src.nestedExpression().data(),                                                        \
+              (VMLTYPE*)dst.data() EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE) );                                           \
+      } else {                                                                                                                  \
+        const Index outerSize = dst.outerSize();                                                                                \
+        for(Index outer = 0; outer < outerSize; ++outer) {                                                                      \
+          const EIGENTYPE *src_ptr = src.IsRowMajor ? &(src.nestedExpression().coeffRef(outer,0)) :                             \
+                                                      &(src.nestedExpression().coeffRef(0, outer));                             \
+          EIGENTYPE *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer));                           \
+          VMLOP( dst.innerSize(), (const VMLTYPE*)src_ptr,                                                                      \
+                (VMLTYPE*)dst_ptr EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE));                                             \
+        }                                                                                                                       \
+      }                                                                                                                         \
+    }                                                                                                                           \
+  };                                                                                                                            \
+
+
+#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP, VMLMODE)                                                         \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),s##VMLOP), float, float, VMLMODE)           \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),d##VMLOP), double, double, VMLMODE)
+
+#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(EIGENOP, VMLOP, VMLMODE)                                                         \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),c##VMLOP), scomplex, MKL_Complex8, VMLMODE) \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),z##VMLOP), dcomplex, MKL_Complex16, VMLMODE)
+  
+#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS(EIGENOP, VMLOP, VMLMODE)                                                              \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP, VMLMODE)                                                               \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(EIGENOP, VMLOP, VMLMODE)
+
+  
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sin,   Sin,   LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(asin,  Asin,  LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sinh,  Sinh,  LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(cos,   Cos,   LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(acos,  Acos,  LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(cosh,  Cosh,  LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(tan,   Tan,   LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(atan,  Atan,  LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(tanh,  Tanh,  LA)
+// EIGEN_MKL_VML_DECLARE_UNARY_CALLS(abs,   Abs,    _)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(exp,   Exp,   LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(log,   Ln,    LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(log10, Log10, LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sqrt,  Sqrt,  _)
+
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(square, Sqr,   _)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(arg, Arg,      _)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(round, Round,  _)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(floor, Floor,  _)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(ceil,  Ceil,   _)
+
+#define EIGEN_MKL_VML_DECLARE_POW_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE, VMLMODE)                                           \
+  template< typename DstXprType, typename SrcXprNested, typename Plain>                                                       \
+  struct Assignment<DstXprType, CwiseBinaryOp<scalar_##EIGENOP##_op<EIGENTYPE,EIGENTYPE>, SrcXprNested,                       \
+                    const CwiseNullaryOp<internal::scalar_constant_op<EIGENTYPE>,Plain> >, assign_op<EIGENTYPE,EIGENTYPE>,    \
+                   Dense2Dense, typename enable_if<vml_assign_traits<DstXprType,SrcXprNested>::EnableVml>::type> {            \
+    typedef CwiseBinaryOp<scalar_##EIGENOP##_op<EIGENTYPE,EIGENTYPE>, SrcXprNested,                                           \
+                    const CwiseNullaryOp<internal::scalar_constant_op<EIGENTYPE>,Plain> > SrcXprType;                         \
+    static void run(DstXprType &dst, const SrcXprType &src, const assign_op<EIGENTYPE,EIGENTYPE> &func) {                     \
+      resize_if_allowed(dst, src, func);                                                                                      \
+      eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());                                                     \
+      VMLTYPE exponent = reinterpret_cast<const VMLTYPE&>(src.rhs().functor().m_other);                                       \
+      if(vml_assign_traits<DstXprType,SrcXprNested>::Traversal==LinearTraversal)                                              \
+      {                                                                                                                       \
+        VMLOP( dst.size(), (const VMLTYPE*)src.lhs().data(), exponent,                                                        \
+              (VMLTYPE*)dst.data() EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE) );                                         \
+      } else {                                                                                                                \
+        const Index outerSize = dst.outerSize();                                                                              \
+        for(Index outer = 0; outer < outerSize; ++outer) {                                                                    \
+          const EIGENTYPE *src_ptr = src.IsRowMajor ? &(src.lhs().coeffRef(outer,0)) :                                        \
+                                                      &(src.lhs().coeffRef(0, outer));                                        \
+          EIGENTYPE *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer));                         \
+          VMLOP( dst.innerSize(), (const VMLTYPE*)src_ptr, exponent,                                                          \
+                 (VMLTYPE*)dst_ptr EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE));                                          \
+        }                                                                                                                     \
+      }                                                                                                                       \
+    }                                                                                                                         \
+  };
+  
+EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmsPowx, float,    float,         LA)
+EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmdPowx, double,   double,        LA)
+EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmcPowx, scomplex, MKL_Complex8,  LA)
+EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmzPowx, dcomplex, MKL_Complex16, LA)
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_ASSIGN_VML_H

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

@@ -0,0 +1,353 @@
+// 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_BANDMATRIX_H
+#define EIGEN_BANDMATRIX_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Derived>
+class BandMatrixBase : public EigenBase<Derived>
+{
+  public:
+
+    enum {
+      Flags = internal::traits<Derived>::Flags,
+      CoeffReadCost = internal::traits<Derived>::CoeffReadCost,
+      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
+      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
+      MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
+      Supers = internal::traits<Derived>::Supers,
+      Subs   = internal::traits<Derived>::Subs,
+      Options = internal::traits<Derived>::Options
+    };
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> DenseMatrixType;
+    typedef typename DenseMatrixType::StorageIndex StorageIndex;
+    typedef typename internal::traits<Derived>::CoefficientsType CoefficientsType;
+    typedef EigenBase<Derived> Base;
+
+  protected:
+    enum {
+      DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic))
+                            ? 1 + Supers + Subs
+                            : Dynamic,
+      SizeAtCompileTime = EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime,ColsAtCompileTime)
+    };
+
+  public:
+    
+    using Base::derived;
+    using Base::rows;
+    using Base::cols;
+
+    /** \returns the number of super diagonals */
+    inline Index supers() const { return derived().supers(); }
+
+    /** \returns the number of sub diagonals */
+    inline Index subs() const { return derived().subs(); }
+    
+    /** \returns an expression of the underlying coefficient matrix */
+    inline const CoefficientsType& coeffs() const { return derived().coeffs(); }
+    
+    /** \returns an expression of the underlying coefficient matrix */
+    inline CoefficientsType& coeffs() { return derived().coeffs(); }
+
+    /** \returns a vector expression of the \a i -th column,
+      * only the meaningful part is returned.
+      * \warning the internal storage must be column major. */
+    inline Block<CoefficientsType,Dynamic,1> col(Index i)
+    {
+      EIGEN_STATIC_ASSERT((Options&RowMajor)==0,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+      Index start = 0;
+      Index len = coeffs().rows();
+      if (i<=supers())
+      {
+        start = supers()-i;
+        len = (std::min)(rows(),std::max<Index>(0,coeffs().rows() - (supers()-i)));
+      }
+      else if (i>=rows()-subs())
+        len = std::max<Index>(0,coeffs().rows() - (i + 1 - rows() + subs()));
+      return Block<CoefficientsType,Dynamic,1>(coeffs(), start, i, len, 1);
+    }
+
+    /** \returns a vector expression of the main diagonal */
+    inline Block<CoefficientsType,1,SizeAtCompileTime> diagonal()
+    { return Block<CoefficientsType,1,SizeAtCompileTime>(coeffs(),supers(),0,1,(std::min)(rows(),cols())); }
+
+    /** \returns a vector expression of the main diagonal (const version) */
+    inline const Block<const CoefficientsType,1,SizeAtCompileTime> diagonal() const
+    { return Block<const CoefficientsType,1,SizeAtCompileTime>(coeffs(),supers(),0,1,(std::min)(rows(),cols())); }
+
+    template<int Index> struct DiagonalIntReturnType {
+      enum {
+        ReturnOpposite = (Options&SelfAdjoint) && (((Index)>0 && Supers==0) || ((Index)<0 && Subs==0)),
+        Conjugate = ReturnOpposite && NumTraits<Scalar>::IsComplex,
+        ActualIndex = ReturnOpposite ? -Index : Index,
+        DiagonalSize = (RowsAtCompileTime==Dynamic || ColsAtCompileTime==Dynamic)
+                     ? Dynamic
+                     : (ActualIndex<0
+                     ? EIGEN_SIZE_MIN_PREFER_DYNAMIC(ColsAtCompileTime, RowsAtCompileTime + ActualIndex)
+                     : EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime, ColsAtCompileTime - ActualIndex))
+      };
+      typedef Block<CoefficientsType,1, DiagonalSize> BuildType;
+      typedef typename internal::conditional<Conjugate,
+                 CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>,BuildType >,
+                 BuildType>::type Type;
+    };
+
+    /** \returns a vector expression of the \a N -th sub or super diagonal */
+    template<int N> inline typename DiagonalIntReturnType<N>::Type diagonal()
+    {
+      return typename DiagonalIntReturnType<N>::BuildType(coeffs(), supers()-N, (std::max)(0,N), 1, diagonalLength(N));
+    }
+
+    /** \returns a vector expression of the \a N -th sub or super diagonal */
+    template<int N> inline const typename DiagonalIntReturnType<N>::Type diagonal() const
+    {
+      return typename DiagonalIntReturnType<N>::BuildType(coeffs(), supers()-N, (std::max)(0,N), 1, diagonalLength(N));
+    }
+
+    /** \returns a vector expression of the \a i -th sub or super diagonal */
+    inline Block<CoefficientsType,1,Dynamic> diagonal(Index i)
+    {
+      eigen_assert((i<0 && -i<=subs()) || (i>=0 && i<=supers()));
+      return Block<CoefficientsType,1,Dynamic>(coeffs(), supers()-i, std::max<Index>(0,i), 1, diagonalLength(i));
+    }
+
+    /** \returns a vector expression of the \a i -th sub or super diagonal */
+    inline const Block<const CoefficientsType,1,Dynamic> diagonal(Index i) const
+    {
+      eigen_assert((i<0 && -i<=subs()) || (i>=0 && i<=supers()));
+      return Block<const CoefficientsType,1,Dynamic>(coeffs(), supers()-i, std::max<Index>(0,i), 1, diagonalLength(i));
+    }
+    
+    template<typename Dest> inline void evalTo(Dest& dst) const
+    {
+      dst.resize(rows(),cols());
+      dst.setZero();
+      dst.diagonal() = diagonal();
+      for (Index i=1; i<=supers();++i)
+        dst.diagonal(i) = diagonal(i);
+      for (Index i=1; i<=subs();++i)
+        dst.diagonal(-i) = diagonal(-i);
+    }
+
+    DenseMatrixType toDenseMatrix() const
+    {
+      DenseMatrixType res(rows(),cols());
+      evalTo(res);
+      return res;
+    }
+
+  protected:
+
+    inline Index diagonalLength(Index i) const
+    { return i<0 ? (std::min)(cols(),rows()+i) : (std::min)(rows(),cols()-i); }
+};
+
+/**
+  * \class BandMatrix
+  * \ingroup Core_Module
+  *
+  * \brief Represents a rectangular matrix with a banded storage
+  *
+  * \tparam _Scalar Numeric type, i.e. float, double, int
+  * \tparam _Rows Number of rows, or \b Dynamic
+  * \tparam _Cols Number of columns, or \b Dynamic
+  * \tparam _Supers Number of super diagonal
+  * \tparam _Subs Number of sub diagonal
+  * \tparam _Options A combination of either \b #RowMajor or \b #ColMajor, and of \b #SelfAdjoint
+  *                  The former controls \ref TopicStorageOrders "storage order", and defaults to
+  *                  column-major. The latter controls whether the matrix represents a selfadjoint
+  *                  matrix in which case either Supers of Subs have to be null.
+  *
+  * \sa class TridiagonalMatrix
+  */
+
+template<typename _Scalar, int _Rows, int _Cols, int _Supers, int _Subs, int _Options>
+struct traits<BandMatrix<_Scalar,_Rows,_Cols,_Supers,_Subs,_Options> >
+{
+  typedef _Scalar Scalar;
+  typedef Dense StorageKind;
+  typedef Eigen::Index StorageIndex;
+  enum {
+    CoeffReadCost = NumTraits<Scalar>::ReadCost,
+    RowsAtCompileTime = _Rows,
+    ColsAtCompileTime = _Cols,
+    MaxRowsAtCompileTime = _Rows,
+    MaxColsAtCompileTime = _Cols,
+    Flags = LvalueBit,
+    Supers = _Supers,
+    Subs = _Subs,
+    Options = _Options,
+    DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic)) ? 1 + Supers + Subs : Dynamic
+  };
+  typedef Matrix<Scalar,DataRowsAtCompileTime,ColsAtCompileTime,Options&RowMajor?RowMajor:ColMajor> CoefficientsType;
+};
+
+template<typename _Scalar, int Rows, int Cols, int Supers, int Subs, int Options>
+class BandMatrix : public BandMatrixBase<BandMatrix<_Scalar,Rows,Cols,Supers,Subs,Options> >
+{
+  public:
+
+    typedef typename internal::traits<BandMatrix>::Scalar Scalar;
+    typedef typename internal::traits<BandMatrix>::StorageIndex StorageIndex;
+    typedef typename internal::traits<BandMatrix>::CoefficientsType CoefficientsType;
+
+    explicit inline BandMatrix(Index rows=Rows, Index cols=Cols, Index supers=Supers, Index subs=Subs)
+      : m_coeffs(1+supers+subs,cols),
+        m_rows(rows), m_supers(supers), m_subs(subs)
+    {
+    }
+
+    /** \returns the number of columns */
+    inline Index rows() const { return m_rows.value(); }
+
+    /** \returns the number of rows */
+    inline Index cols() const { return m_coeffs.cols(); }
+
+    /** \returns the number of super diagonals */
+    inline Index supers() const { return m_supers.value(); }
+
+    /** \returns the number of sub diagonals */
+    inline Index subs() const { return m_subs.value(); }
+
+    inline const CoefficientsType& coeffs() const { return m_coeffs; }
+    inline CoefficientsType& coeffs() { return m_coeffs; }
+
+  protected:
+
+    CoefficientsType m_coeffs;
+    internal::variable_if_dynamic<Index, Rows>   m_rows;
+    internal::variable_if_dynamic<Index, Supers> m_supers;
+    internal::variable_if_dynamic<Index, Subs>   m_subs;
+};
+
+template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
+class BandMatrixWrapper;
+
+template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
+struct traits<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
+{
+  typedef typename _CoefficientsType::Scalar Scalar;
+  typedef typename _CoefficientsType::StorageKind StorageKind;
+  typedef typename _CoefficientsType::StorageIndex StorageIndex;
+  enum {
+    CoeffReadCost = internal::traits<_CoefficientsType>::CoeffReadCost,
+    RowsAtCompileTime = _Rows,
+    ColsAtCompileTime = _Cols,
+    MaxRowsAtCompileTime = _Rows,
+    MaxColsAtCompileTime = _Cols,
+    Flags = LvalueBit,
+    Supers = _Supers,
+    Subs = _Subs,
+    Options = _Options,
+    DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic)) ? 1 + Supers + Subs : Dynamic
+  };
+  typedef _CoefficientsType CoefficientsType;
+};
+
+template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
+class BandMatrixWrapper : public BandMatrixBase<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
+{
+  public:
+
+    typedef typename internal::traits<BandMatrixWrapper>::Scalar Scalar;
+    typedef typename internal::traits<BandMatrixWrapper>::CoefficientsType CoefficientsType;
+    typedef typename internal::traits<BandMatrixWrapper>::StorageIndex StorageIndex;
+
+    explicit inline BandMatrixWrapper(const CoefficientsType& coeffs, Index rows=_Rows, Index cols=_Cols, Index supers=_Supers, Index subs=_Subs)
+      : m_coeffs(coeffs),
+        m_rows(rows), m_supers(supers), m_subs(subs)
+    {
+      EIGEN_UNUSED_VARIABLE(cols);
+      //internal::assert(coeffs.cols()==cols() && (supers()+subs()+1)==coeffs.rows());
+    }
+
+    /** \returns the number of columns */
+    inline Index rows() const { return m_rows.value(); }
+
+    /** \returns the number of rows */
+    inline Index cols() const { return m_coeffs.cols(); }
+
+    /** \returns the number of super diagonals */
+    inline Index supers() const { return m_supers.value(); }
+
+    /** \returns the number of sub diagonals */
+    inline Index subs() const { return m_subs.value(); }
+
+    inline const CoefficientsType& coeffs() const { return m_coeffs; }
+
+  protected:
+
+    const CoefficientsType& m_coeffs;
+    internal::variable_if_dynamic<Index, _Rows>   m_rows;
+    internal::variable_if_dynamic<Index, _Supers> m_supers;
+    internal::variable_if_dynamic<Index, _Subs>   m_subs;
+};
+
+/**
+  * \class TridiagonalMatrix
+  * \ingroup Core_Module
+  *
+  * \brief Represents a tridiagonal matrix with a compact banded storage
+  *
+  * \tparam Scalar Numeric type, i.e. float, double, int
+  * \tparam Size Number of rows and cols, or \b Dynamic
+  * \tparam Options Can be 0 or \b SelfAdjoint
+  *
+  * \sa class BandMatrix
+  */
+template<typename Scalar, int Size, int Options>
+class TridiagonalMatrix : public BandMatrix<Scalar,Size,Size,Options&SelfAdjoint?0:1,1,Options|RowMajor>
+{
+    typedef BandMatrix<Scalar,Size,Size,Options&SelfAdjoint?0:1,1,Options|RowMajor> Base;
+    typedef typename Base::StorageIndex StorageIndex;
+  public:
+    explicit TridiagonalMatrix(Index size = Size) : Base(size,size,Options&SelfAdjoint?0:1,1) {}
+
+    inline typename Base::template DiagonalIntReturnType<1>::Type super()
+    { return Base::template diagonal<1>(); }
+    inline const typename Base::template DiagonalIntReturnType<1>::Type super() const
+    { return Base::template diagonal<1>(); }
+    inline typename Base::template DiagonalIntReturnType<-1>::Type sub()
+    { return Base::template diagonal<-1>(); }
+    inline const typename Base::template DiagonalIntReturnType<-1>::Type sub() const
+    { return Base::template diagonal<-1>(); }
+  protected:
+};
+
+
+struct BandShape {};
+
+template<typename _Scalar, int _Rows, int _Cols, int _Supers, int _Subs, int _Options>
+struct evaluator_traits<BandMatrix<_Scalar,_Rows,_Cols,_Supers,_Subs,_Options> >
+  : public evaluator_traits_base<BandMatrix<_Scalar,_Rows,_Cols,_Supers,_Subs,_Options> >
+{
+  typedef BandShape Shape;
+};
+
+template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
+struct evaluator_traits<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
+  : public evaluator_traits_base<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
+{
+  typedef BandShape Shape;
+};
+
+template<> struct AssignmentKind<DenseShape,BandShape> { typedef EigenBase2EigenBase Kind; };
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_BANDMATRIX_H

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

@@ -0,0 +1,452 @@
+// 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) 2006-2010 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_BLOCK_H
+#define EIGEN_BLOCK_H
+
+namespace Eigen { 
+
+namespace internal {
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
+struct traits<Block<XprType, BlockRows, BlockCols, InnerPanel> > : traits<XprType>
+{
+  typedef typename traits<XprType>::Scalar Scalar;
+  typedef typename traits<XprType>::StorageKind StorageKind;
+  typedef typename traits<XprType>::XprKind XprKind;
+  typedef typename ref_selector<XprType>::type XprTypeNested;
+  typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
+  enum{
+    MatrixRows = traits<XprType>::RowsAtCompileTime,
+    MatrixCols = traits<XprType>::ColsAtCompileTime,
+    RowsAtCompileTime = MatrixRows == 0 ? 0 : BlockRows,
+    ColsAtCompileTime = MatrixCols == 0 ? 0 : BlockCols,
+    MaxRowsAtCompileTime = BlockRows==0 ? 0
+                         : RowsAtCompileTime != Dynamic ? int(RowsAtCompileTime)
+                         : int(traits<XprType>::MaxRowsAtCompileTime),
+    MaxColsAtCompileTime = BlockCols==0 ? 0
+                         : ColsAtCompileTime != Dynamic ? int(ColsAtCompileTime)
+                         : int(traits<XprType>::MaxColsAtCompileTime),
+
+    XprTypeIsRowMajor = (int(traits<XprType>::Flags)&RowMajorBit) != 0,
+    IsRowMajor = (MaxRowsAtCompileTime==1&&MaxColsAtCompileTime!=1) ? 1
+               : (MaxColsAtCompileTime==1&&MaxRowsAtCompileTime!=1) ? 0
+               : XprTypeIsRowMajor,
+    HasSameStorageOrderAsXprType = (IsRowMajor == XprTypeIsRowMajor),
+    InnerSize = IsRowMajor ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
+    InnerStrideAtCompileTime = HasSameStorageOrderAsXprType
+                             ? int(inner_stride_at_compile_time<XprType>::ret)
+                             : int(outer_stride_at_compile_time<XprType>::ret),
+    OuterStrideAtCompileTime = HasSameStorageOrderAsXprType
+                             ? int(outer_stride_at_compile_time<XprType>::ret)
+                             : int(inner_stride_at_compile_time<XprType>::ret),
+
+    // FIXME, this traits is rather specialized for dense object and it needs to be cleaned further
+    FlagsLvalueBit = is_lvalue<XprType>::value ? LvalueBit : 0,
+    FlagsRowMajorBit = IsRowMajor ? RowMajorBit : 0,
+    Flags = (traits<XprType>::Flags & (DirectAccessBit | (InnerPanel?CompressedAccessBit:0))) | FlagsLvalueBit | FlagsRowMajorBit,
+    // FIXME DirectAccessBit should not be handled by expressions
+    // 
+    // Alignment is needed by MapBase's assertions
+    // We can sefely set it to false here. Internal alignment errors will be detected by an eigen_internal_assert in the respective evaluator
+    Alignment = 0
+  };
+};
+
+template<typename XprType, int BlockRows=Dynamic, int BlockCols=Dynamic, bool InnerPanel = false,
+         bool HasDirectAccess = internal::has_direct_access<XprType>::ret> class BlockImpl_dense;
+         
+} // end namespace internal
+
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, typename StorageKind> class BlockImpl;
+
+/** \class Block
+  * \ingroup Core_Module
+  *
+  * \brief Expression of a fixed-size or dynamic-size block
+  *
+  * \tparam XprType the type of the expression in which we are taking a block
+  * \tparam BlockRows the number of rows of the block we are taking at compile time (optional)
+  * \tparam BlockCols the number of columns of the block we are taking at compile time (optional)
+  * \tparam InnerPanel is true, if the block maps to a set of rows of a row major matrix or
+  *         to set of columns of a column major matrix (optional). The parameter allows to determine
+  *         at compile time whether aligned access is possible on the block expression.
+  *
+  * This class represents an expression of either a fixed-size or dynamic-size block. It is the return
+  * type of DenseBase::block(Index,Index,Index,Index) and DenseBase::block<int,int>(Index,Index) and
+  * most of the time this is the only way it is used.
+  *
+  * However, if you want to directly maniputate block expressions,
+  * for instance if you want to write a function returning such an expression, you
+  * will need to use this class.
+  *
+  * Here is an example illustrating the dynamic case:
+  * \include class_Block.cpp
+  * Output: \verbinclude class_Block.out
+  *
+  * \note Even though this expression has dynamic size, in the case where \a XprType
+  * has fixed size, this expression inherits a fixed maximal size which means that evaluating
+  * it does not cause a dynamic memory allocation.
+  *
+  * Here is an example illustrating the fixed-size case:
+  * \include class_FixedBlock.cpp
+  * Output: \verbinclude class_FixedBlock.out
+  *
+  * \sa DenseBase::block(Index,Index,Index,Index), DenseBase::block(Index,Index), class VectorBlock
+  */
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
+  : public BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, typename internal::traits<XprType>::StorageKind>
+{
+    typedef BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, typename internal::traits<XprType>::StorageKind> Impl;
+  public:
+    //typedef typename Impl::Base Base;
+    typedef Impl Base;
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Block)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Block)
+    
+    typedef typename internal::remove_all<XprType>::type NestedExpression;
+  
+    /** Column or Row constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline Block(XprType& xpr, Index i) : Impl(xpr,i)
+    {
+      eigen_assert( (i>=0) && (
+          ((BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) && i<xpr.rows())
+        ||((BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) && i<xpr.cols())));
+    }
+
+    /** Fixed-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline Block(XprType& xpr, Index startRow, Index startCol)
+      : Impl(xpr, startRow, startCol)
+    {
+      EIGEN_STATIC_ASSERT(RowsAtCompileTime!=Dynamic && ColsAtCompileTime!=Dynamic,THIS_METHOD_IS_ONLY_FOR_FIXED_SIZE)
+      eigen_assert(startRow >= 0 && BlockRows >= 0 && startRow + BlockRows <= xpr.rows()
+             && startCol >= 0 && BlockCols >= 0 && startCol + BlockCols <= xpr.cols());
+    }
+
+    /** Dynamic-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline Block(XprType& xpr,
+          Index startRow, Index startCol,
+          Index blockRows, Index blockCols)
+      : Impl(xpr, startRow, startCol, blockRows, blockCols)
+    {
+      eigen_assert((RowsAtCompileTime==Dynamic || RowsAtCompileTime==blockRows)
+          && (ColsAtCompileTime==Dynamic || ColsAtCompileTime==blockCols));
+      eigen_assert(startRow >= 0 && blockRows >= 0 && startRow  <= xpr.rows() - blockRows
+          && startCol >= 0 && blockCols >= 0 && startCol <= xpr.cols() - blockCols);
+    }
+};
+         
+// The generic default implementation for dense block simplu forward to the internal::BlockImpl_dense
+// that must be specialized for direct and non-direct access...
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
+class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
+  : public internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel>
+{
+    typedef internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel> Impl;
+    typedef typename XprType::StorageIndex StorageIndex;
+  public:
+    typedef Impl Base;
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(BlockImpl)
+    EIGEN_DEVICE_FUNC inline BlockImpl(XprType& xpr, Index i) : Impl(xpr,i) {}
+    EIGEN_DEVICE_FUNC inline BlockImpl(XprType& xpr, Index startRow, Index startCol) : Impl(xpr, startRow, startCol) {}
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl(XprType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
+      : Impl(xpr, startRow, startCol, blockRows, blockCols) {}
+};
+
+namespace internal {
+
+/** \internal Internal implementation of dense Blocks in the general case. */
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
+  : public internal::dense_xpr_base<Block<XprType, BlockRows, BlockCols, InnerPanel> >::type
+{
+    typedef Block<XprType, BlockRows, BlockCols, InnerPanel> BlockType;
+    typedef typename internal::ref_selector<XprType>::non_const_type XprTypeNested;
+  public:
+
+    typedef typename internal::dense_xpr_base<BlockType>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(BlockType)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(BlockImpl_dense)
+
+    // class InnerIterator; // FIXME apparently never used
+
+    /** Column or Row constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr, Index i)
+      : m_xpr(xpr),
+        // It is a row if and only if BlockRows==1 and BlockCols==XprType::ColsAtCompileTime,
+        // and it is a column if and only if BlockRows==XprType::RowsAtCompileTime and BlockCols==1,
+        // all other cases are invalid.
+        // The case a 1x1 matrix seems ambiguous, but the result is the same anyway.
+        m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? i : 0),
+        m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? i : 0),
+        m_blockRows(BlockRows==1 ? 1 : xpr.rows()),
+        m_blockCols(BlockCols==1 ? 1 : xpr.cols())
+    {}
+
+    /** Fixed-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr, Index startRow, Index startCol)
+      : m_xpr(xpr), m_startRow(startRow), m_startCol(startCol),
+                    m_blockRows(BlockRows), m_blockCols(BlockCols)
+    {}
+
+    /** Dynamic-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr,
+          Index startRow, Index startCol,
+          Index blockRows, Index blockCols)
+      : m_xpr(xpr), m_startRow(startRow), m_startCol(startCol),
+                    m_blockRows(blockRows), m_blockCols(blockCols)
+    {}
+
+    EIGEN_DEVICE_FUNC inline Index rows() const { return m_blockRows.value(); }
+    EIGEN_DEVICE_FUNC inline Index cols() const { return m_blockCols.value(); }
+
+    EIGEN_DEVICE_FUNC
+    inline Scalar& coeffRef(Index rowId, Index colId)
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(XprType)
+      return m_xpr.coeffRef(rowId + m_startRow.value(), colId + m_startCol.value());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index rowId, Index colId) const
+    {
+      return m_xpr.derived().coeffRef(rowId + m_startRow.value(), colId + m_startCol.value());
+    }
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE const CoeffReturnType coeff(Index rowId, Index colId) const
+    {
+      return m_xpr.coeff(rowId + m_startRow.value(), colId + m_startCol.value());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Scalar& coeffRef(Index index)
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(XprType)
+      return m_xpr.coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+                            m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index index) const
+    {
+      return m_xpr.coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+                            m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const CoeffReturnType coeff(Index index) const
+    {
+      return m_xpr.coeff(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+                         m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
+    }
+
+    template<int LoadMode>
+    inline PacketScalar packet(Index rowId, Index colId) const
+    {
+      return m_xpr.template packet<Unaligned>(rowId + m_startRow.value(), colId + m_startCol.value());
+    }
+
+    template<int LoadMode>
+    inline void writePacket(Index rowId, Index colId, const PacketScalar& val)
+    {
+      m_xpr.template writePacket<Unaligned>(rowId + m_startRow.value(), colId + m_startCol.value(), val);
+    }
+
+    template<int LoadMode>
+    inline PacketScalar packet(Index index) const
+    {
+      return m_xpr.template packet<Unaligned>
+              (m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+               m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
+    }
+
+    template<int LoadMode>
+    inline void writePacket(Index index, const PacketScalar& val)
+    {
+      m_xpr.template writePacket<Unaligned>
+         (m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+          m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0), val);
+    }
+
+    #ifdef EIGEN_PARSED_BY_DOXYGEN
+    /** \sa MapBase::data() */
+    EIGEN_DEVICE_FUNC inline const Scalar* data() const;
+    EIGEN_DEVICE_FUNC inline Index innerStride() const;
+    EIGEN_DEVICE_FUNC inline Index outerStride() const;
+    #endif
+
+    EIGEN_DEVICE_FUNC
+    const typename internal::remove_all<XprTypeNested>::type& nestedExpression() const
+    { 
+      return m_xpr; 
+    }
+
+    EIGEN_DEVICE_FUNC
+    XprType& nestedExpression() { return m_xpr; }
+      
+    EIGEN_DEVICE_FUNC
+    StorageIndex startRow() const
+    { 
+      return m_startRow.value(); 
+    }
+      
+    EIGEN_DEVICE_FUNC
+    StorageIndex startCol() const
+    { 
+      return m_startCol.value(); 
+    }
+
+  protected:
+
+    XprTypeNested m_xpr;
+    const internal::variable_if_dynamic<StorageIndex, (XprType::RowsAtCompileTime == 1 && BlockRows==1) ? 0 : Dynamic> m_startRow;
+    const internal::variable_if_dynamic<StorageIndex, (XprType::ColsAtCompileTime == 1 && BlockCols==1) ? 0 : Dynamic> m_startCol;
+    const internal::variable_if_dynamic<StorageIndex, RowsAtCompileTime> m_blockRows;
+    const internal::variable_if_dynamic<StorageIndex, ColsAtCompileTime> m_blockCols;
+};
+
+/** \internal Internal implementation of dense Blocks in the direct access case.*/
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
+class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
+  : public MapBase<Block<XprType, BlockRows, BlockCols, InnerPanel> >
+{
+    typedef Block<XprType, BlockRows, BlockCols, InnerPanel> BlockType;
+    typedef typename internal::ref_selector<XprType>::non_const_type XprTypeNested;
+    enum {
+      XprTypeIsRowMajor = (int(traits<XprType>::Flags)&RowMajorBit) != 0
+    };
+  public:
+
+    typedef MapBase<BlockType> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(BlockType)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(BlockImpl_dense)
+
+    /** Column or Row constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr, Index i)
+      : Base(xpr.data() + i * (    ((BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) && (!XprTypeIsRowMajor)) 
+                                || ((BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) && ( XprTypeIsRowMajor)) ? xpr.innerStride() : xpr.outerStride()),
+             BlockRows==1 ? 1 : xpr.rows(),
+             BlockCols==1 ? 1 : xpr.cols()),
+        m_xpr(xpr),
+        m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? i : 0),
+        m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? i : 0)
+    {
+      init();
+    }
+
+    /** Fixed-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr, Index startRow, Index startCol)
+      : Base(xpr.data()+xpr.innerStride()*(XprTypeIsRowMajor?startCol:startRow) + xpr.outerStride()*(XprTypeIsRowMajor?startRow:startCol)),
+        m_xpr(xpr), m_startRow(startRow), m_startCol(startCol)
+    {
+      init();
+    }
+
+    /** Dynamic-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr,
+          Index startRow, Index startCol,
+          Index blockRows, Index blockCols)
+      : Base(xpr.data()+xpr.innerStride()*(XprTypeIsRowMajor?startCol:startRow) + xpr.outerStride()*(XprTypeIsRowMajor?startRow:startCol), blockRows, blockCols),
+        m_xpr(xpr), m_startRow(startRow), m_startCol(startCol)
+    {
+      init();
+    }
+
+    EIGEN_DEVICE_FUNC
+    const typename internal::remove_all<XprTypeNested>::type& nestedExpression() const
+    { 
+      return m_xpr; 
+    }
+
+    EIGEN_DEVICE_FUNC
+    XprType& nestedExpression() { return m_xpr; }
+      
+    /** \sa MapBase::innerStride() */
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const
+    {
+      return internal::traits<BlockType>::HasSameStorageOrderAsXprType
+             ? m_xpr.innerStride()
+             : m_xpr.outerStride();
+    }
+
+    /** \sa MapBase::outerStride() */
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const
+    {
+      return m_outerStride;
+    }
+
+    EIGEN_DEVICE_FUNC
+    StorageIndex startRow() const
+    {
+      return m_startRow.value();
+    }
+
+    EIGEN_DEVICE_FUNC
+    StorageIndex startCol() const
+    {
+      return m_startCol.value();
+    }
+
+  #ifndef __SUNPRO_CC
+  // FIXME sunstudio is not friendly with the above friend...
+  // META-FIXME there is no 'friend' keyword around here. Is this obsolete?
+  protected:
+  #endif
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal used by allowAligned() */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr, const Scalar* data, Index blockRows, Index blockCols)
+      : Base(data, blockRows, blockCols), m_xpr(xpr)
+    {
+      init();
+    }
+    #endif
+
+  protected:
+    EIGEN_DEVICE_FUNC
+    void init()
+    {
+      m_outerStride = internal::traits<BlockType>::HasSameStorageOrderAsXprType
+                    ? m_xpr.outerStride()
+                    : m_xpr.innerStride();
+    }
+
+    XprTypeNested m_xpr;
+    const internal::variable_if_dynamic<StorageIndex, (XprType::RowsAtCompileTime == 1 && BlockRows==1) ? 0 : Dynamic> m_startRow;
+    const internal::variable_if_dynamic<StorageIndex, (XprType::ColsAtCompileTime == 1 && BlockCols==1) ? 0 : Dynamic> m_startCol;
+    Index m_outerStride;
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_BLOCK_H

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

@@ -0,0 +1,164 @@
+// 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_ALLANDANY_H
+#define EIGEN_ALLANDANY_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Derived, int UnrollCount>
+struct all_unroller
+{
+  typedef typename Derived::ExpressionTraits Traits;
+  enum {
+    col = (UnrollCount-1) / Traits::RowsAtCompileTime,
+    row = (UnrollCount-1) % Traits::RowsAtCompileTime
+  };
+
+  static inline bool run(const Derived &mat)
+  {
+    return all_unroller<Derived, UnrollCount-1>::run(mat) && mat.coeff(row, col);
+  }
+};
+
+template<typename Derived>
+struct all_unroller<Derived, 0>
+{
+  static inline bool run(const Derived &/*mat*/) { return true; }
+};
+
+template<typename Derived>
+struct all_unroller<Derived, Dynamic>
+{
+  static inline bool run(const Derived &) { return false; }
+};
+
+template<typename Derived, int UnrollCount>
+struct any_unroller
+{
+  typedef typename Derived::ExpressionTraits Traits;
+  enum {
+    col = (UnrollCount-1) / Traits::RowsAtCompileTime,
+    row = (UnrollCount-1) % Traits::RowsAtCompileTime
+  };
+  
+  static inline bool run(const Derived &mat)
+  {
+    return any_unroller<Derived, UnrollCount-1>::run(mat) || mat.coeff(row, col);
+  }
+};
+
+template<typename Derived>
+struct any_unroller<Derived, 0>
+{
+  static inline bool run(const Derived & /*mat*/) { return false; }
+};
+
+template<typename Derived>
+struct any_unroller<Derived, Dynamic>
+{
+  static inline bool run(const Derived &) { return false; }
+};
+
+} // end namespace internal
+
+/** \returns true if all coefficients are true
+  *
+  * Example: \include MatrixBase_all.cpp
+  * Output: \verbinclude MatrixBase_all.out
+  *
+  * \sa any(), Cwise::operator<()
+  */
+template<typename Derived>
+inline bool DenseBase<Derived>::all() const
+{
+  typedef internal::evaluator<Derived> Evaluator;
+  enum {
+    unroll = SizeAtCompileTime != Dynamic
+          && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
+  };
+  Evaluator evaluator(derived());
+  if(unroll)
+    return internal::all_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic>::run(evaluator);
+  else
+  {
+    for(Index j = 0; j < cols(); ++j)
+      for(Index i = 0; i < rows(); ++i)
+        if (!evaluator.coeff(i, j)) return false;
+    return true;
+  }
+}
+
+/** \returns true if at least one coefficient is true
+  *
+  * \sa all()
+  */
+template<typename Derived>
+inline bool DenseBase<Derived>::any() const
+{
+  typedef internal::evaluator<Derived> Evaluator;
+  enum {
+    unroll = SizeAtCompileTime != Dynamic
+          && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
+  };
+  Evaluator evaluator(derived());
+  if(unroll)
+    return internal::any_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic>::run(evaluator);
+  else
+  {
+    for(Index j = 0; j < cols(); ++j)
+      for(Index i = 0; i < rows(); ++i)
+        if (evaluator.coeff(i, j)) return true;
+    return false;
+  }
+}
+
+/** \returns the number of coefficients which evaluate to true
+  *
+  * \sa all(), any()
+  */
+template<typename Derived>
+inline Eigen::Index DenseBase<Derived>::count() const
+{
+  return derived().template cast<bool>().template cast<Index>().sum();
+}
+
+/** \returns true is \c *this contains at least one Not A Number (NaN).
+  *
+  * \sa allFinite()
+  */
+template<typename Derived>
+inline bool DenseBase<Derived>::hasNaN() const
+{
+#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
+  return derived().array().isNaN().any();
+#else
+  return !((derived().array()==derived().array()).all());
+#endif
+}
+
+/** \returns true if \c *this contains only finite numbers, i.e., no NaN and no +/-INF values.
+  *
+  * \sa hasNaN()
+  */
+template<typename Derived>
+inline bool DenseBase<Derived>::allFinite() const
+{
+#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
+  return derived().array().isFinite().all();
+#else
+  return !((derived()-derived()).hasNaN());
+#endif
+}
+    
+} // end namespace Eigen
+
+#endif // EIGEN_ALLANDANY_H

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

@@ -0,0 +1,160 @@
+// 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) 2006-2008 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_COMMAINITIALIZER_H
+#define EIGEN_COMMAINITIALIZER_H
+
+namespace Eigen { 
+
+/** \class CommaInitializer
+  * \ingroup Core_Module
+  *
+  * \brief Helper class used by the comma initializer operator
+  *
+  * This class is internally used to implement the comma initializer feature. It is
+  * the return type of MatrixBase::operator<<, and most of the time this is the only
+  * way it is used.
+  *
+  * \sa \blank \ref MatrixBaseCommaInitRef "MatrixBase::operator<<", CommaInitializer::finished()
+  */
+template<typename XprType>
+struct CommaInitializer
+{
+  typedef typename XprType::Scalar Scalar;
+
+  EIGEN_DEVICE_FUNC
+  inline CommaInitializer(XprType& xpr, const Scalar& s)
+    : m_xpr(xpr), m_row(0), m_col(1), m_currentBlockRows(1)
+  {
+    m_xpr.coeffRef(0,0) = s;
+  }
+
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC
+  inline CommaInitializer(XprType& xpr, const DenseBase<OtherDerived>& other)
+    : m_xpr(xpr), m_row(0), m_col(other.cols()), m_currentBlockRows(other.rows())
+  {
+    m_xpr.block(0, 0, other.rows(), other.cols()) = other;
+  }
+
+  /* Copy/Move constructor which transfers ownership. This is crucial in 
+   * absence of return value optimization to avoid assertions during destruction. */
+  // FIXME in C++11 mode this could be replaced by a proper RValue constructor
+  EIGEN_DEVICE_FUNC
+  inline CommaInitializer(const CommaInitializer& o)
+  : m_xpr(o.m_xpr), m_row(o.m_row), m_col(o.m_col), m_currentBlockRows(o.m_currentBlockRows) {
+    // Mark original object as finished. In absence of R-value references we need to const_cast:
+    const_cast<CommaInitializer&>(o).m_row = m_xpr.rows();
+    const_cast<CommaInitializer&>(o).m_col = m_xpr.cols();
+    const_cast<CommaInitializer&>(o).m_currentBlockRows = 0;
+  }
+
+  /* inserts a scalar value in the target matrix */
+  EIGEN_DEVICE_FUNC
+  CommaInitializer& operator,(const Scalar& s)
+  {
+    if (m_col==m_xpr.cols())
+    {
+      m_row+=m_currentBlockRows;
+      m_col = 0;
+      m_currentBlockRows = 1;
+      eigen_assert(m_row<m_xpr.rows()
+        && "Too many rows passed to comma initializer (operator<<)");
+    }
+    eigen_assert(m_col<m_xpr.cols()
+      && "Too many coefficients passed to comma initializer (operator<<)");
+    eigen_assert(m_currentBlockRows==1);
+    m_xpr.coeffRef(m_row, m_col++) = s;
+    return *this;
+  }
+
+  /* inserts a matrix expression in the target matrix */
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC
+  CommaInitializer& operator,(const DenseBase<OtherDerived>& other)
+  {
+    if (m_col==m_xpr.cols() && (other.cols()!=0 || other.rows()!=m_currentBlockRows))
+    {
+      m_row+=m_currentBlockRows;
+      m_col = 0;
+      m_currentBlockRows = other.rows();
+      eigen_assert(m_row+m_currentBlockRows<=m_xpr.rows()
+        && "Too many rows passed to comma initializer (operator<<)");
+    }
+    eigen_assert((m_col + other.cols() <= m_xpr.cols())
+      && "Too many coefficients passed to comma initializer (operator<<)");
+    eigen_assert(m_currentBlockRows==other.rows());
+    m_xpr.template block<OtherDerived::RowsAtCompileTime, OtherDerived::ColsAtCompileTime>
+                    (m_row, m_col, other.rows(), other.cols()) = other;
+    m_col += other.cols();
+    return *this;
+  }
+
+  EIGEN_DEVICE_FUNC
+  inline ~CommaInitializer()
+#if defined VERIFY_RAISES_ASSERT && (!defined EIGEN_NO_ASSERTION_CHECKING) && defined EIGEN_EXCEPTIONS
+  EIGEN_EXCEPTION_SPEC(Eigen::eigen_assert_exception)
+#endif
+  {
+      finished();
+  }
+
+  /** \returns the built matrix once all its coefficients have been set.
+    * Calling finished is 100% optional. Its purpose is to write expressions
+    * like this:
+    * \code
+    * quaternion.fromRotationMatrix((Matrix3f() << axis0, axis1, axis2).finished());
+    * \endcode
+    */
+  EIGEN_DEVICE_FUNC
+  inline XprType& finished() {
+      eigen_assert(((m_row+m_currentBlockRows) == m_xpr.rows() || m_xpr.cols() == 0)
+           && m_col == m_xpr.cols()
+           && "Too few coefficients passed to comma initializer (operator<<)");
+      return m_xpr;
+  }
+
+  XprType& m_xpr;           // target expression
+  Index m_row;              // current row id
+  Index m_col;              // current col id
+  Index m_currentBlockRows; // current block height
+};
+
+/** \anchor MatrixBaseCommaInitRef
+  * Convenient operator to set the coefficients of a matrix.
+  *
+  * The coefficients must be provided in a row major order and exactly match
+  * the size of the matrix. Otherwise an assertion is raised.
+  *
+  * Example: \include MatrixBase_set.cpp
+  * Output: \verbinclude MatrixBase_set.out
+  * 
+  * \note According the c++ standard, the argument expressions of this comma initializer are evaluated in arbitrary order.
+  *
+  * \sa CommaInitializer::finished(), class CommaInitializer
+  */
+template<typename Derived>
+inline CommaInitializer<Derived> DenseBase<Derived>::operator<< (const Scalar& s)
+{
+  return CommaInitializer<Derived>(*static_cast<Derived*>(this), s);
+}
+
+/** \sa operator<<(const Scalar&) */
+template<typename Derived>
+template<typename OtherDerived>
+inline CommaInitializer<Derived>
+DenseBase<Derived>::operator<<(const DenseBase<OtherDerived>& other)
+{
+  return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMMAINITIALIZER_H

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

@@ -0,0 +1,175 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Rasmus Munk Larsen (rmlarsen@google.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_CONDITIONESTIMATOR_H
+#define EIGEN_CONDITIONESTIMATOR_H
+
+namespace Eigen {
+
+namespace internal {
+
+template <typename Vector, typename RealVector, bool IsComplex>
+struct rcond_compute_sign {
+  static inline Vector run(const Vector& v) {
+    const RealVector v_abs = v.cwiseAbs();
+    return (v_abs.array() == static_cast<typename Vector::RealScalar>(0))
+            .select(Vector::Ones(v.size()), v.cwiseQuotient(v_abs));
+  }
+};
+
+// Partial specialization to avoid elementwise division for real vectors.
+template <typename Vector>
+struct rcond_compute_sign<Vector, Vector, false> {
+  static inline Vector run(const Vector& v) {
+    return (v.array() < static_cast<typename Vector::RealScalar>(0))
+           .select(-Vector::Ones(v.size()), Vector::Ones(v.size()));
+  }
+};
+
+/**
+  * \returns an estimate of ||inv(matrix)||_1 given a decomposition of
+  * \a matrix that implements .solve() and .adjoint().solve() methods.
+  *
+  * This function implements Algorithms 4.1 and 5.1 from
+  *   http://www.maths.manchester.ac.uk/~higham/narep/narep135.pdf
+  * which also forms the basis for the condition number estimators in
+  * LAPACK. Since at most 10 calls to the solve method of dec are
+  * performed, the total cost is O(dims^2), as opposed to O(dims^3)
+  * needed to compute the inverse matrix explicitly.
+  *
+  * The most common usage is in estimating the condition number
+  * ||matrix||_1 * ||inv(matrix)||_1. The first term ||matrix||_1 can be
+  * computed directly in O(n^2) operations.
+  *
+  * Supports the following decompositions: FullPivLU, PartialPivLU, LDLT, and
+  * LLT.
+  *
+  * \sa FullPivLU, PartialPivLU, LDLT, LLT.
+  */
+template <typename Decomposition>
+typename Decomposition::RealScalar rcond_invmatrix_L1_norm_estimate(const Decomposition& dec)
+{
+  typedef typename Decomposition::MatrixType MatrixType;
+  typedef typename Decomposition::Scalar Scalar;
+  typedef typename Decomposition::RealScalar RealScalar;
+  typedef typename internal::plain_col_type<MatrixType>::type Vector;
+  typedef typename internal::plain_col_type<MatrixType, RealScalar>::type RealVector;
+  const bool is_complex = (NumTraits<Scalar>::IsComplex != 0);
+
+  eigen_assert(dec.rows() == dec.cols());
+  const Index n = dec.rows();
+  if (n == 0)
+    return 0;
+
+  // Disable Index to float conversion warning
+#ifdef __INTEL_COMPILER
+  #pragma warning push
+  #pragma warning ( disable : 2259 )
+#endif
+  Vector v = dec.solve(Vector::Ones(n) / Scalar(n));
+#ifdef __INTEL_COMPILER
+  #pragma warning pop
+#endif
+
+  // lower_bound is a lower bound on
+  //   ||inv(matrix)||_1  = sup_v ||inv(matrix) v||_1 / ||v||_1
+  // and is the objective maximized by the ("super-") gradient ascent
+  // algorithm below.
+  RealScalar lower_bound = v.template lpNorm<1>();
+  if (n == 1)
+    return lower_bound;
+
+  // Gradient ascent algorithm follows: We know that the optimum is achieved at
+  // one of the simplices v = e_i, so in each iteration we follow a
+  // super-gradient to move towards the optimal one.
+  RealScalar old_lower_bound = lower_bound;
+  Vector sign_vector(n);
+  Vector old_sign_vector;
+  Index v_max_abs_index = -1;
+  Index old_v_max_abs_index = v_max_abs_index;
+  for (int k = 0; k < 4; ++k)
+  {
+    sign_vector = internal::rcond_compute_sign<Vector, RealVector, is_complex>::run(v);
+    if (k > 0 && !is_complex && sign_vector == old_sign_vector) {
+      // Break if the solution stagnated.
+      break;
+    }
+    // v_max_abs_index = argmax |real( inv(matrix)^T * sign_vector )|
+    v = dec.adjoint().solve(sign_vector);
+    v.real().cwiseAbs().maxCoeff(&v_max_abs_index);
+    if (v_max_abs_index == old_v_max_abs_index) {
+      // Break if the solution stagnated.
+      break;
+    }
+    // Move to the new simplex e_j, where j = v_max_abs_index.
+    v = dec.solve(Vector::Unit(n, v_max_abs_index));  // v = inv(matrix) * e_j.
+    lower_bound = v.template lpNorm<1>();
+    if (lower_bound <= old_lower_bound) {
+      // Break if the gradient step did not increase the lower_bound.
+      break;
+    }
+    if (!is_complex) {
+      old_sign_vector = sign_vector;
+    }
+    old_v_max_abs_index = v_max_abs_index;
+    old_lower_bound = lower_bound;
+  }
+  // The following calculates an independent estimate of ||matrix||_1 by
+  // multiplying matrix by a vector with entries of slowly increasing
+  // magnitude and alternating sign:
+  //   v_i = (-1)^{i} (1 + (i / (dim-1))), i = 0,...,dim-1.
+  // This improvement to Hager's algorithm above is due to Higham. It was
+  // added to make the algorithm more robust in certain corner cases where
+  // large elements in the matrix might otherwise escape detection due to
+  // exact cancellation (especially when op and op_adjoint correspond to a
+  // sequence of backsubstitutions and permutations), which could cause
+  // Hager's algorithm to vastly underestimate ||matrix||_1.
+  Scalar alternating_sign(RealScalar(1));
+  for (Index i = 0; i < n; ++i) {
+    // The static_cast is needed when Scalar is a complex and RealScalar implements expression templates
+    v[i] = alternating_sign * static_cast<RealScalar>(RealScalar(1) + (RealScalar(i) / (RealScalar(n - 1))));
+    alternating_sign = -alternating_sign;
+  }
+  v = dec.solve(v);
+  const RealScalar alternate_lower_bound = (2 * v.template lpNorm<1>()) / (3 * RealScalar(n));
+  return numext::maxi(lower_bound, alternate_lower_bound);
+}
+
+/** \brief Reciprocal condition number estimator.
+  *
+  * Computing a decomposition of a dense matrix takes O(n^3) operations, while
+  * this method estimates the condition number quickly and reliably in O(n^2)
+  * operations.
+  *
+  * \returns an estimate of the reciprocal condition number
+  * (1 / (||matrix||_1 * ||inv(matrix)||_1)) of matrix, given ||matrix||_1 and
+  * its decomposition. Supports the following decompositions: FullPivLU,
+  * PartialPivLU, LDLT, and LLT.
+  *
+  * \sa FullPivLU, PartialPivLU, LDLT, LLT.
+  */
+template <typename Decomposition>
+typename Decomposition::RealScalar
+rcond_estimate_helper(typename Decomposition::RealScalar matrix_norm, const Decomposition& dec)
+{
+  typedef typename Decomposition::RealScalar RealScalar;
+  eigen_assert(dec.rows() == dec.cols());
+  if (dec.rows() == 0)              return NumTraits<RealScalar>::infinity();
+  if (matrix_norm == RealScalar(0)) return RealScalar(0);
+  if (dec.rows() == 1)              return RealScalar(1);
+  const RealScalar inverse_matrix_norm = rcond_invmatrix_L1_norm_estimate(dec);
+  return (inverse_matrix_norm == RealScalar(0) ? RealScalar(0)
+                                               : (RealScalar(1) / inverse_matrix_norm) / matrix_norm);
+}
+
+}  // namespace internal
+
+}  // namespace Eigen
+
+#endif