diff --git a/.github/workflows/block_merge.yml b/.github/workflows/block_merge.yml
index e32fcf34a..650084583 100644
--- a/.github/workflows/block_merge.yml
+++ b/.github/workflows/block_merge.yml
@@ -10,7 +10,7 @@ jobs:
     runs-on: ubuntu-20.04
     steps:
       - name: Check first line
-        uses: gsactions/commit-message-checker@v1
+        uses: gsactions/commit-message-checker@16fa2d5de096ae0d35626443bcd24f1e756cafee # v2.0.0
         with:
           pattern: '^(feat|fix|test|bench|docs|chore|refactor|perf)\((compiler|backend|frontend|optimizer|tools|ci|common).*\): '
           flags: 'gs'
diff --git a/.github/workflows/compiler_benchmark.yml b/.github/workflows/compiler_benchmark.yml
index 18ff1dad4..46941df09 100644
--- a/.github/workflows/compiler_benchmark.yml
+++ b/.github/workflows/compiler_benchmark.yml
@@ -47,13 +47,8 @@ jobs:
         run: |
           echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
 
-      # SSH private key is required as some dependencies are from private repos
-      - uses: webfactory/ssh-agent@v0.7.0
-        with:
-          ssh-private-key: ${{ secrets.CONCRETE_CI_SSH_PRIVATE }}
-
       - name: Fetch submodules
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           fetch-depth: 0
           submodules: recursive
@@ -100,7 +95,7 @@ jobs:
           make ${{ env.BENCHMARK_TARGET }}
 
       - name: Upload raw results artifact
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
         with:
           name: compiler_${{ github.sha }}_raw
           path: compilers/concrete-compiler/compiler/benchmarks_results.json
@@ -120,13 +115,13 @@ jobs:
           --throughput
 
       - name: Upload parsed results artifact
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
         with:
           name: compiler_${{ github.sha }}
           path: ${{ env.RESULTS_FILENAME }}
 
       - name: Checkout Slab repo
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           repository: zama-ai/slab
           path: slab
diff --git a/.github/workflows/compiler_build_and_test_cpu.yml b/.github/workflows/compiler_build_and_test_cpu.yml
index 1e9bc59a4..13524d584 100644
--- a/.github/workflows/compiler_build_and_test_cpu.yml
+++ b/.github/workflows/compiler_build_and_test_cpu.yml
@@ -45,12 +45,6 @@ jobs:
           echo "Request ID: ${{ inputs.request_id }}"
           echo "Matrix item: ${{ inputs.matrix_item }}"
 
-      # A SSH private key is required as some dependencies are from private repos
-      - name: Set up SSH agent
-        uses: webfactory/ssh-agent@v0.7.0
-        with:
-          ssh-private-key: ${{ secrets.CONCRETE_CI_SSH_PRIVATE }}
-
       - name: Set up env
         run: |
           echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
@@ -58,7 +52,7 @@ jobs:
           echo "SSH_AUTH_SOCK_DIR=$(dirname $SSH_AUTH_SOCK)" >> "${GITHUB_ENV}"
 
       - name: Fetch repository
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
@@ -70,7 +64,7 @@ jobs:
         run: mkdir build
 
       - name: Build compiler
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         id: build-compiler
         with:
           registry: ghcr.io
@@ -86,16 +80,16 @@ jobs:
             ${{ env.DOCKER_GPU_OPTION }}
           shell: bash
           run: |
-            rustup toolchain install nightly-2024-01-31
+            rustup toolchain install nightly-2024-07-01
             set -e
             cd /concrete/compilers/concrete-compiler/compiler
             rm -rf /build/*
-            make DATAFLOW_EXECUTION_ENABLED=ON CCACHE=ON Python3_EXECUTABLE=$PYTHON_EXEC BUILD_DIR=/build all build-end-to-end-dataflow-tests
+            make DATAFLOW_EXECUTION_ENABLED=ON CCACHE=ON Python3_EXECUTABLE=$PYTHON_EXEC BUILD_DIR=/build all
             echo "Debug: ccache statistics (after the build):"
             ccache -s
 
       - name: Build compiler Dialects docs and check diff
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         id: build-compiler-docs
         with:
           registry: ghcr.io
@@ -127,7 +121,7 @@ jobs:
         run: echo "MINIMAL_TESTS=ON" >> $GITHUB_ENV
 
       - name: Test compiler
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         with:
           registry: ghcr.io
           image: ${{ env.DOCKER_IMAGE_TEST }}
@@ -140,13 +134,13 @@ jobs:
           shell: bash
           run: |
             set -e
-            rustup toolchain install nightly-2024-01-31
+            rustup toolchain install nightly-2024-07-01
             cd /concrete/compilers/concrete-compiler/compiler
             pip install pytest
             dnf install -y libzstd libzstd-devel
             sed "s/pytest/python -m pytest/g" -i Makefile
             mkdir -p /tmp/concrete_compiler/gpu_tests/
-            make MINIMAL_TESTS=${{ env.MINIMAL_TESTS }} DATAFLOW_EXECUTION_ENABLED=ON CCACHE=ON Python3_EXECUTABLE=$PYTHON_EXEC BUILD_DIR=/build run-tests run-end-to-end-dataflow-tests
+            make MINIMAL_TESTS=${{ env.MINIMAL_TESTS }} DATAFLOW_EXECUTION_ENABLED=ON CCACHE=ON Python3_EXECUTABLE=$PYTHON_EXEC BUILD_DIR=/build run-tests
             chmod -R ugo+rwx /tmp/KeySetCache
             
       - name: Analyze logs
@@ -155,7 +149,7 @@ jobs:
             ls -1 | xargs grep -H "WARNING RETRY" | sed -e "s/.log.*//g" | uniq -c | sed -re "s/ *([0-9]*) (.*)/::warning ::Test \2 retried \1 times/g" | cat
 
       # - name: Archive python package
-      #   uses: actions/upload-artifact@v3
+      #   uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808 # v4.3.3
       #   with:
       #     name: concrete-compiler.whl
       #     path: build/wheels/concrete_compiler-*-manylinux_{{ env.GLIB_VER }}_x86_64.whl
diff --git a/.github/workflows/compiler_build_and_test_cpu_distributed.yml b/.github/workflows/compiler_build_and_test_cpu_distributed.yml
index 328f6727c..0d7560d8b 100644
--- a/.github/workflows/compiler_build_and_test_cpu_distributed.yml
+++ b/.github/workflows/compiler_build_and_test_cpu_distributed.yml
@@ -47,7 +47,7 @@ jobs:
           docker system prune -af
 
       - name: Fetch repository
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           fetch-depth: 0
           submodules: recursive
@@ -74,13 +74,14 @@ jobs:
           cd compilers/concrete-compiler/compiler
           rm -rf /shared/build
           make HPX_DIR=/shared/hpx install-hpx-from-source
-          make HPX_DIR=/shared/hpx BUILD_DIR=/shared/build CCACHE=ON DATAFLOW_EXECUTION_ENABLED=ON BINDINGS_PYTHON_ENABLED=OFF CUDA_SUPPORT=${{ env.CUDA_SUPPORT }} build-end-to-end-dataflow-tests
+          make HPX_DIR=/shared/hpx BUILD_DIR=/shared/build CCACHE=ON DATAFLOW_EXECUTION_ENABLED=ON BINDINGS_PYTHON_ENABLED=OFF CUDA_SUPPORT=${{ env.CUDA_SUPPORT }} build-end-to-end-tests
 
       - name: Run end-to-end benchmarks
         run: |
           set -e
           cd compilers/concrete-compiler/compiler
-          make BUILD_DIR=/shared/build run-end-to-end-distributed-tests
+          rm -rf /shared/KeyCache
+          make BUILD_DIR=/shared/build KEY_CACHE_DIRECTORY=/shared/KeyCache run-end-to-end-distributed-tests
 
       - name: Instance cleanup
         run: |
diff --git a/.github/workflows/compiler_build_and_test_gpu.yml b/.github/workflows/compiler_build_and_test_gpu.yml
index f31a5afe2..ed9ea0075 100644
--- a/.github/workflows/compiler_build_and_test_gpu.yml
+++ b/.github/workflows/compiler_build_and_test_gpu.yml
@@ -45,12 +45,6 @@ jobs:
           echo "Request ID: ${{ inputs.request_id }}"
           echo "Matrix item: ${{ inputs.matrix_item }}"
 
-      # A SSH private key is required as some dependencies are from private repos
-      - name: Set up SSH agent
-        uses: webfactory/ssh-agent@v0.7.0
-        with:
-          ssh-private-key: ${{ secrets.CONCRETE_CI_SSH_PRIVATE }}
-
       - name: Set up env
         # "Install rust" step require root user to have a HOME directory which is not set.
         run: |
@@ -58,7 +52,7 @@ jobs:
           echo "SSH_AUTH_SOCK_DIR=$(dirname $SSH_AUTH_SOCK)" >> "${GITHUB_ENV}"
 
       - name: Fetch repository
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
@@ -70,7 +64,7 @@ jobs:
         run: mkdir build
 
       - name: Build and test compiler
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         id: build-compiler
         with:
           registry: ghcr.io
@@ -86,7 +80,7 @@ jobs:
             --gpus all
           shell: bash
           run: |
-            rustup toolchain install nightly-2024-01-31
+            rustup toolchain install nightly-2024-07-01
             set -e
             cd /concrete/compilers/concrete-compiler/compiler
             rm -rf /build/*
diff --git a/.github/workflows/compiler_format_and_linting.yml b/.github/workflows/compiler_format_and_linting.yml
index fecf12af5..e1a7f069f 100644
--- a/.github/workflows/compiler_format_and_linting.yml
+++ b/.github/workflows/compiler_format_and_linting.yml
@@ -8,7 +8,7 @@ jobs:
   FormattingAndLinting:
     runs-on: ubuntu-20.04
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
       - name: Format with clang-format (Cpp)
         run: |
           sudo apt install moreutils
@@ -34,6 +34,6 @@ jobs:
   CheckLicense:
     runs-on: ubuntu-20.04
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
       - name: Check if sources include the license header
         run: .github/workflows/scripts/check_for_license.sh
diff --git a/.github/workflows/compiler_macos_build_and_test.yml b/.github/workflows/compiler_macos_build_and_test.yml
index c26732603..874eba80c 100644
--- a/.github/workflows/compiler_macos_build_and_test.yml
+++ b/.github/workflows/compiler_macos_build_and_test.yml
@@ -24,12 +24,7 @@ jobs:
         runson: ["aws-mac1-metal", "aws-mac2-metal"]
     runs-on: ${{ matrix.runson }}
     steps:
-      # A SSH private key is required as some dependencies are from private repos
-      - uses: webfactory/ssh-agent@v0.7.0
-        with:
-          ssh-private-key: ${{ secrets.CONCRETE_CI_SSH_PRIVATE }}
-
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
@@ -45,7 +40,7 @@ jobs:
 
       - name: Cache compilation (push)
         if: github.event_name == 'push'
-        uses: actions/cache@v3
+        uses: actions/cache@0c45773b623bea8c8e75f6c82b208c3cf94ea4f9 # v4.0.2
         with:
           path: /Users/runner/Library/Caches/ccache
           key: ${{ runner.os }}-${{ runner.arch }}-compilation-cache-${{ github.sha }}
@@ -54,7 +49,7 @@ jobs:
 
       - name: Cache compilation (pull_request)
         if: github.event_name == 'pull_request'
-        uses: actions/cache@v3
+        uses: actions/cache@0c45773b623bea8c8e75f6c82b208c3cf94ea4f9 # v4.0.2
         with:
           path: /Users/runner/Library/Caches/ccache
           key: ${{ runner.os }}-${{ runner.arch }}-compilation-cache-${{ github.event.pull_request.base.sha }}
diff --git a/.github/workflows/compiler_publish_docker_images.yml b/.github/workflows/compiler_publish_docker_images.yml
index b0ed439c8..5315a592f 100644
--- a/.github/workflows/compiler_publish_docker_images.yml
+++ b/.github/workflows/compiler_publish_docker_images.yml
@@ -49,12 +49,8 @@ jobs:
           echo "AMI: ${{ inputs.instance_image_id }}"
           echo "Type: ${{ inputs.instance_type }}"
           echo "Request ID: ${{ inputs.request_id }}"
-      # SSH private key is required as some dependencies are from private repos
-      - uses: webfactory/ssh-agent@v0.7.0
-        with:
-          ssh-private-key: ${{ secrets.CONCRETE_CI_SSH_PRIVATE }}
 
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
@@ -66,7 +62,6 @@ jobs:
       - name: Build Image
         run: |
           DOCKER_BUILDKIT=1 docker build --no-cache \
-            --ssh default=${{ env.SSH_AUTH_SOCK }} \
             --label "commit-sha=${{ github.sha }}" -t ${{ matrix.image }} -f ${{ matrix.dockerfile }} .
 
       - name: Tag and Publish Image
@@ -88,7 +83,7 @@ jobs:
       IMAGE: ghcr.io/zama-ai/hpx
 
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           fetch-depth: 0
 
@@ -98,7 +93,7 @@ jobs:
 
       - name: Get changed files
         id: changed-files
-        uses: tj-actions/changed-files@v44
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c # v44.5.24
 
       - name: Login
         id: login
@@ -127,7 +122,7 @@ jobs:
             dockerfile: docker/Dockerfile.cuda-118-env
 
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           fetch-depth: 0
 
@@ -137,7 +132,7 @@ jobs:
 
       - name: Get changed files
         id: changed-files
-        uses: tj-actions/changed-files@v44
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c # v44.5.24
 
       - name: Login
         id: login
diff --git a/.github/workflows/concrete_cpu_test.yml b/.github/workflows/concrete_cpu_test.yml
index 598f7cff6..01650936b 100644
--- a/.github/workflows/concrete_cpu_test.yml
+++ b/.github/workflows/concrete_cpu_test.yml
@@ -16,17 +16,17 @@ jobs:
     env:
       RUSTFLAGS: -D warnings
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
 
       - name: Rust install
-        uses: actions-rs/toolchain@v1
+        uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af # v1.0.7
         with:
-          toolchain: nightly-2024-01-31
+          toolchain: nightly-2024-07-01
           override: true
           components: rustfmt, clippy
 
       - name: Download cargo cache
-        uses: Swatinem/rust-cache@v2
+        uses: Swatinem/rust-cache@23bce251a8cd2ffc3c1075eaa2367cf899916d84 # v2.7.3
 
       - name: Formatting
         run: |
@@ -63,13 +63,13 @@ jobs:
     env:
       RUSTFLAGS: -D warnings
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
 
       - name: Setup rust toolchain for concrete-cpu
         uses: ./.github/workflows/setup_rust_toolchain_for_concrete_cpu
 
       - name: Download cargo cache
-        uses: Swatinem/rust-cache@v2
+        uses: Swatinem/rust-cache@23bce251a8cd2ffc3c1075eaa2367cf899916d84 # v2.7.3
 
       - name: Tests
         run: |
@@ -81,13 +81,13 @@ jobs:
     env:
       RUSTFLAGS: -D warnings
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
 
       - name: Setup rust toolchain for concrete-cpu
         uses: ./.github/workflows/setup_rust_toolchain_for_concrete_cpu
 
       - name: Download cargo cache
-        uses: Swatinem/rust-cache@v2
+        uses: Swatinem/rust-cache@23bce251a8cd2ffc3c1075eaa2367cf899916d84 # v2.7.3
 
       - name: Tests
         run: |
diff --git a/.github/workflows/concrete_ml_tests.yml b/.github/workflows/concrete_ml_tests.yml
index cbb46e899..6b02da9f9 100644
--- a/.github/workflows/concrete_ml_tests.yml
+++ b/.github/workflows/concrete_ml_tests.yml
@@ -38,11 +38,6 @@ jobs:
           echo "Request ID: ${{ inputs.request_id }}"
           echo "User Inputs: ${{ inputs.user_inputs }}"
 
-      - name: Set up SSH agent
-        uses: webfactory/ssh-agent@v0.7.0
-        with:
-          ssh-private-key: ${{ secrets.CONCRETE_CI_SSH_PRIVATE }}
-
       - name: Set up GitHub environment
         run: |
           echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
@@ -50,7 +45,7 @@ jobs:
           echo "SSH_AUTH_SOCK_DIR=$(dirname $SSH_AUTH_SOCK)" >> "${GITHUB_ENV}"
 
       - name: Checkout
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
@@ -65,7 +60,7 @@ jobs:
         run: mkdir build
 
       - name: Build wheel
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         id: build-compiler-bindings
         with:
           registry: ghcr.io
@@ -104,7 +99,7 @@ jobs:
             deactivate
 
       - name: Setup Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@39cd14951b08e74b54015e9e001cdefcf80e669f # v5.1.1
         with:
           python-version: ${{ matrix.python-version }}
 
diff --git a/.github/workflows/concrete_python_benchmark.yml b/.github/workflows/concrete_python_benchmark.yml
new file mode 100644
index 000000000..25b851218
--- /dev/null
+++ b/.github/workflows/concrete_python_benchmark.yml
@@ -0,0 +1,125 @@
+name: Concrete Python Benchmark
+
+on:
+  workflow_dispatch:
+  schedule:
+    - cron: "0 1 * * SAT"
+
+env:
+  DOCKER_IMAGE: ghcr.io/zama-ai/concrete-compiler
+  GLIB_VER: 2_28
+
+jobs:
+  setup-instance:
+    name: Setup Instance
+    runs-on: ubuntu-latest
+    outputs:
+      runner-name: ${{ steps.start-instance.outputs.label }}
+    steps:
+      - name: Start instance
+        id: start-instance
+        uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
+        with:
+          mode: start
+          github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
+          slab-url: ${{ secrets.SLAB_BASE_URL }}
+          job-secret: ${{ secrets.JOB_SECRET }}
+          backend: aws
+          profile: m7i-cpu-bench
+
+  concrete-python-benchmarks:
+    name: Run Concrete Python Benchmarks
+    needs: setup-instance
+    runs-on: ${{ needs.setup-instance.outputs.runner-name }}
+    steps:
+      - name: Checkout
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
+        with:
+          submodules: recursive
+          fetch-depth: 0
+
+      - name: Benchmark
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
+        id: build-compiler-bindings
+        with:
+          registry: ghcr.io
+          image: ${{ env.DOCKER_IMAGE }}
+          username: ${{ secrets.GHCR_LOGIN }}
+          password: ${{ secrets.GHCR_PASSWORD }}
+          options: >-
+            -v ${{ github.workspace }}:/concrete
+            -v ${{ github.workspace }}/build:/build
+            -v ${{ env.SSH_AUTH_SOCK }}:/ssh.socket
+            -e SSH_AUTH_SOCK=/ssh.socket
+            ${{ env.DOCKER_GPU_OPTION }}
+          shell: bash
+          run: |
+            set -e
+
+            rustup toolchain install nightly-2024-07-01
+            rm -rf /build/*
+
+            export PYTHON=${{ format('python{0}', matrix.python-version) }}
+            echo "Using $PYTHON"
+
+            dnf -y install graphviz graphviz-devel
+
+            cd /concrete/frontends/concrete-python
+            make PYTHON=$PYTHON venv
+            source .venv/bin/activate
+
+            cd /concrete/compilers/concrete-compiler/compiler
+            make BUILD_DIR=/build CCACHE=ON DATAFLOW_EXECUTION_ENABLED=ON Python3_EXECUTABLE=$(which python) python-bindings
+
+            echo "Debug: ccache statistics (after the build):"
+            ccache -s
+
+            cd /concrete/frontends/concrete-python
+
+            export COMPILER_BUILD_DIRECTORY="/build"
+            export PROGRESS_MACHINE_NAME="m7i.48xlarge"
+            
+            make benchmark
+            make process-benchmark-results-for-grafana
+
+            deactivate
+
+      - name: Checkout Slab repo
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
+        with:
+          repository: zama-ai/slab
+          path: slab
+          token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
+
+      - name: Send data to Slab
+        shell: bash
+        run: |
+          echo "Computing HMac on results file"
+          SIGNATURE="$(slab/scripts/hmac_calculator.sh frontends/concrete-python/progress.processed.json '${{ secrets.JOB_SECRET }}')"
+          
+          cd frontends/concrete-python
+          
+          echo "Sending results to Slab..."
+          curl -v -k \
+            -H "Content-Type: application/json" \
+            -H "X-Slab-Repository: ${{ github.repository }}" \
+            -H "X-Slab-Command: store_data_v2" \
+            -H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
+            -d @progress.processed.json \
+            ${{ secrets.SLAB_URL }}
+
+  teardown-instance:
+    name: Teardown Instance
+    if: ${{ always() && needs.setup-instance.result != 'skipped' }}
+    needs: [ setup-instance, concrete-python-benchmarks ]
+    runs-on: ubuntu-latest
+    steps:
+      - name: Stop instance
+        id: stop-instance
+        uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
+        with:
+          mode: stop
+          github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
+          slab-url: ${{ secrets.SLAB_BASE_URL }}
+          job-secret: ${{ secrets.JOB_SECRET }}
+          label: ${{ needs.setup-instance.outputs.runner-name }}
diff --git a/.github/workflows/concrete_python_checks.yml b/.github/workflows/concrete_python_checks.yml
index cc38e453c..87b9aafb6 100644
--- a/.github/workflows/concrete_python_checks.yml
+++ b/.github/workflows/concrete_python_checks.yml
@@ -7,7 +7,7 @@ jobs:
   Checks:
     runs-on: ubuntu-20.04
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
       - name: Pre-Commit Checks
         run: |
           sudo apt install -y graphviz libgraphviz-dev
diff --git a/.github/workflows/concrete_python_push_docker_image.yml b/.github/workflows/concrete_python_push_docker_image.yml
index 3126d0dbb..ffa8437bd 100644
--- a/.github/workflows/concrete_python_push_docker_image.yml
+++ b/.github/workflows/concrete_python_push_docker_image.yml
@@ -20,7 +20,7 @@ jobs:
     runs-on: ubuntu-22.04
     steps:
       - name: Checkout
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
 
       - name: Get version from tag
         run: |
@@ -34,7 +34,7 @@ jobs:
           docker image build -t ${{ env.DOCKER_IMAGE_NAME }} --build-arg version=${{ env.VERSION }} -f ${{ env.DOCKER_FILE }} empty_context
 
       - name: Login to Docker Hub
-        uses: docker/login-action@e92390c5fb421da1463c202d546fed0ec5c39f20
+        uses: docker/login-action@9780b0c442fbb1117ed29e0efdff1e18412f7567
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}
           password: ${{ secrets.DOCKERHUB_TOKEN }}
diff --git a/.github/workflows/concrete_python_release.yml b/.github/workflows/concrete_python_release.yml
index fd330c6f7..750cbe4fb 100644
--- a/.github/workflows/concrete_python_release.yml
+++ b/.github/workflows/concrete_python_release.yml
@@ -50,7 +50,7 @@ jobs:
           echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
 
       - name: Checkout
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           fetch-depth: 0
@@ -73,7 +73,7 @@ jobs:
         run: cp frontends/concrete-python/version.txt frontends/concrete-python/concrete/fhe/version.py
 
       - name: Build wheel
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         id: build-compiler-bindings
         with:
           registry: ghcr.io
@@ -90,7 +90,7 @@ jobs:
           run: |
             set -e
 
-            rustup toolchain install nightly-2024-01-31
+            rustup toolchain install nightly-2024-07-01
             rm -rf /build/*
 
             export PYTHON=${{ format('python{0}', matrix.python-version) }}
@@ -116,7 +116,7 @@ jobs:
             deactivate
 
       - name: Upload wheel
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
         with:
           name: ${{ format('wheel-{0}-linux-x86', matrix.python-version) }}
           path: frontends/concrete-python/dist/*manylinux*.whl
@@ -131,7 +131,7 @@ jobs:
     runs-on: ${{ matrix.runs-on }}
     steps:
       - name: Checkout
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           fetch-depth: 0
@@ -193,7 +193,7 @@ jobs:
           deactivate
 
       - name: Upload wheel
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
         with:
           name: ${{ format('wheel-{0}-{1}', matrix.python-version, matrix.runs-on) }}
           path: frontends/concrete-python/dist/*macos*.whl
@@ -206,7 +206,7 @@ jobs:
     outputs:
       hash: ${{ steps.hash.outputs.hash }}
     steps:
-      - uses: actions/download-artifact@65a9edc5881444af0b9093a5e628f2fe47ea3b2e # v4.1.7
+      - uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
         with:
           path: frontends/concrete-python/dist
           pattern: wheel-*
@@ -230,20 +230,20 @@ jobs:
     needs: [build-linux-x86, build-macos, provenance]
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           fetch-depth: 0
-      - uses: actions/download-artifact@v4
+      - uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
         with:
           path: wheels
           pattern: 'wheel-*'
           merge-multiple: true
-      - uses: actions/download-artifact@v4
+      - uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
         with:
           pattern: '*.intoto.jsonl'
-      # When building a new tag, create a new draft release.
+      # When building a new public tag, create a new draft release.
       - name: create draft release
-        if: ${{ env.RELEASE_TYPE == 'public' || env.RELEASE_TYPE == 'nightly' }}
+        if: ${{ env.RELEASE_TYPE == 'public'}}
         run: |
           export TAG=$(git describe --tags --abbrev=0)
           echo $TAG
@@ -278,7 +278,7 @@ jobs:
             -H "Authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" \
             -H "X-GitHub-Api-Version: 2022-11-28" \
             https://api.github.com/repos/zama-ai/concrete/actions/workflows/concrete_python_push_docker_image.yml/dispatches \
-            -d "{\"ref\": \"$TAG\", \"inputs\": {\"tag\":\"$TAG\"}}"
+            -d "{\"ref\": \"$TAG\", \"inputs\": {\"tag\":\"v$TAG\"}}"
 
   test-linux-x86:
     needs: [build-linux-x86]
@@ -289,16 +289,16 @@ jobs:
     runs-on: ${{ github.event.inputs.runner_name }}
     steps:
       - name: Setup Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@39cd14951b08e74b54015e9e001cdefcf80e669f # v5.1.1
         with:
           python-version: ${{ matrix.python-version }}
       - name: Download wheels
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
         with:
           name: ${{ format('wheel-{0}-linux-x86', matrix.python-version) }}
           path: ${{ format('wheel-{0}-linux-x86', matrix.python-version) }}
       - name: Checkout the repository
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           path: repo
@@ -339,12 +339,12 @@ jobs:
     runs-on: ${{ matrix.runs-on }}
     steps:
       - name: Download wheels
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
         with:
           name: ${{ format('wheel-{0}-{1}', matrix.python-version, matrix.runs-on) }}
           path: ${{ format('wheel-{0}-{1}', matrix.python-version, matrix.runs-on) }}
       - name: Checkout the repository
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           path: repo
diff --git a/.github/workflows/concrete_python_release_gpu.yml b/.github/workflows/concrete_python_release_gpu.yml
index 1f0ff0525..5205996d5 100644
--- a/.github/workflows/concrete_python_release_gpu.yml
+++ b/.github/workflows/concrete_python_release_gpu.yml
@@ -51,7 +51,7 @@ jobs:
           echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
 
       - name: Checkout
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           fetch-depth: 0
@@ -74,7 +74,7 @@ jobs:
         run: cp frontends/concrete-python/version.txt frontends/concrete-python/concrete/fhe/version.py
 
       - name: Build wheel
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         id: build-compiler-bindings
         with:
           registry: ghcr.io
@@ -90,7 +90,7 @@ jobs:
           run: |
             set -e
 
-            rustup toolchain install nightly-2024-01-31
+            rustup toolchain install nightly-2024-07-01
             rm -rf /build/*
             
             export PYTHON=${{ format('python{0}', matrix.python-version) }}
@@ -104,7 +104,7 @@ jobs:
             
             cd /concrete/compilers/concrete-compiler/compiler
             make BUILD_DIR=/build CCACHE=ON DATAFLOW_EXECUTION_ENABLED=OFF Python3_EXECUTABLE=$(which python) \
-              CUDA_SUPPORT=ON CUDA_PATH=${{ env.CUDA_PATH }} python-bindings
+              CUDA_SUPPORT=ON TIMING_ENABLED=ON CUDA_PATH=${{ env.CUDA_PATH }} python-bindings
             
             echo "Debug: ccache statistics (after the build):"
             ccache -s
@@ -117,7 +117,7 @@ jobs:
             deactivate
 
       - name: Upload wheel
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
         with:
           name: ${{ format('wheel-{0}-linux-x86', matrix.python-version) }}
           path: frontends/concrete-python/dist/*manylinux*.whl
@@ -126,10 +126,12 @@ jobs:
   push:
     needs: [build-linux-x86]
     runs-on: ubuntu-latest
+    outputs:
+      wheel_version: ${{ steps.version.outputs.wheel_version }}
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
 
-      - uses: actions/download-artifact@v4
+      - uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
         with:
           path: wheels
           merge-multiple: true
@@ -155,10 +157,17 @@ jobs:
           # update indexes and invalidate cloudfront cache
           python .github/workflows/scripts/s3_update_html_indexes.py
 
+      - name: Output Wheel Version
+        id: version
+        run: |
+          export VERSION=`ls ./wheels/*manylinux* | head -n1 |  cut -d "-" -f2`
+          echo "VERSION=$VERSION"
+          echo "wheel_version=$VERSION" >> "$GITHUB_OUTPUT"
+
   test-gpu-wheel:
     needs: [push]
     uses: ./.github/workflows/start_slab.yml
     secrets: inherit
     with:
       command: concrete-python-test-gpu-wheel
-      user_inputs: "TODO"
+      user_inputs: "${{ needs.push.outputs.wheel_version }}"
diff --git a/.github/workflows/concrete_python_test_gpu_wheel.yml b/.github/workflows/concrete_python_test_gpu_wheel.yml
index 2f0d6f789..2569b02cd 100644
--- a/.github/workflows/concrete_python_test_gpu_wheel.yml
+++ b/.github/workflows/concrete_python_test_gpu_wheel.yml
@@ -35,16 +35,15 @@ jobs:
     runs-on: ${{ github.event.inputs.runner_name }}
     steps:
       - name: Setup Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@39cd14951b08e74b54015e9e001cdefcf80e669f # v5.1.1
         with:
           python-version: ${{ matrix.python-version }}
 
-      # TODO: specify CP version
       - name: Install CP
-        run: pip install --pre --extra-index-url https://pypi.zama.ai/gpu/ concrete-python
+        run: pip install --pre --extra-index-url https://pypi.zama.ai/gpu/ "concrete-python==${{ env.CP_VERSION }}"
 
       - name: Checkout the repository
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           path: repo
 
diff --git a/.github/workflows/concrete_python_test_macos.yml b/.github/workflows/concrete_python_test_macos.yml
index 40d1f7297..5136208e0 100644
--- a/.github/workflows/concrete_python_test_macos.yml
+++ b/.github/workflows/concrete_python_test_macos.yml
@@ -21,13 +21,8 @@ jobs:
 
     runs-on: ${{ matrix.machine }}
     steps:
-      - name: Set up SSH agent
-        uses: webfactory/ssh-agent@v0.7.0
-        with:
-          ssh-private-key: ${{ secrets.CONCRETE_CI_SSH_PRIVATE }}
-
       - name: Checkout
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
@@ -41,7 +36,7 @@ jobs:
 
       - name: Cache Compilation (push)
         if: github.event_name == 'push'
-        uses: actions/cache@v3
+        uses: actions/cache@0c45773b623bea8c8e75f6c82b208c3cf94ea4f9 # v4.0.2
         with:
           path: /Users/runner/Library/Caches/ccache
           key: ${{ runner.os }}-${{ runner.arch }}-compilation-cache-${{ github.sha }}
@@ -50,7 +45,7 @@ jobs:
 
       - name: Cache Compilation (pull_request)
         if: github.event_name == 'pull_request'
-        uses: actions/cache@v3
+        uses: actions/cache@0c45773b623bea8c8e75f6c82b208c3cf94ea4f9 # v4.0.2
         with:
           path: /Users/runner/Library/Caches/ccache
           key: ${{ runner.os }}-${{ runner.arch }}-compilation-cache-${{ github.event.pull_request.base.sha }}
diff --git a/.github/workflows/concrete_python_tests_linux.yml b/.github/workflows/concrete_python_tests_linux.yml
index 98433d936..18311259b 100644
--- a/.github/workflows/concrete_python_tests_linux.yml
+++ b/.github/workflows/concrete_python_tests_linux.yml
@@ -42,11 +42,6 @@ jobs:
           echo "Type: ${{ inputs.instance_type }}"
           echo "Request ID: ${{ inputs.request_id }}"
 
-      - name: Set up SSH agent
-        uses: webfactory/ssh-agent@v0.7.0
-        with:
-          ssh-private-key: ${{ secrets.CONCRETE_CI_SSH_PRIVATE }}
-
       - name: Set up GitHub environment
         run: |
           echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
@@ -54,7 +49,7 @@ jobs:
           echo "SSH_AUTH_SOCK_DIR=$(dirname $SSH_AUTH_SOCK)" >> "${GITHUB_ENV}"
           
       - name: Checkout
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           submodules: recursive
           token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
@@ -66,7 +61,7 @@ jobs:
         uses: ./.github/workflows/setup_rust_toolchain_for_concrete_cpu
 
       - name: Build bindings
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         if: ${{ !contains(inputs.instance_type, 'p3') }}
         id: build-compiler-bindings
         with:
@@ -81,7 +76,7 @@ jobs:
             -e SSH_AUTH_SOCK=/ssh.socket
           shell: bash
           run: |
-            rustup toolchain install nightly-2024-01-31
+            rustup toolchain install nightly-2024-07-01
             set -e
             rm -rf /build/*
 
@@ -98,7 +93,7 @@ jobs:
             ccache -s
 
       - name: Test
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         if: ${{ !contains(inputs.instance_type, 'p3') }}
         with:
           registry: ghcr.io
@@ -124,7 +119,7 @@ jobs:
             KEY_CACHE_DIRECTORY=./KeySetCache make pytest
             
       - name: Build bindings gpu
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         if: ${{ contains(inputs.instance_type, 'p3') }}
         id: build-compiler-bindings-gpu
         with:
@@ -155,7 +150,7 @@ jobs:
             ccache -s
 
       - name: Test gpu
-        uses: addnab/docker-run-action@v3
+        uses: addnab/docker-run-action@4f65fabd2431ebc8d299f8e5a018d79a769ae185 # v3
         if: ${{ contains(inputs.instance_type, 'p3') }}
         with:
           registry: ghcr.io
diff --git a/.github/workflows/linelint.yml b/.github/workflows/linelint.yml
index be791bb5e..616f04d40 100644
--- a/.github/workflows/linelint.yml
+++ b/.github/workflows/linelint.yml
@@ -12,7 +12,7 @@ jobs:
     runs-on: ubuntu-20.04
     steps:
       - name: Checkout
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
       - name: Linelint
         uses: fernandrone/linelint@0.0.4
         id: linelint
diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 24ecd03c7..830d24a01 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -39,20 +39,20 @@ jobs:
       push-main: ${{ steps.github.outputs.push-main }}
     steps:
       - name: Checkout the repository
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           fetch-depth: 0
           token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
 
       - name: Get changed files in the concrete-compiler directory
         id: compiler
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./compilers/concrete-compiler/**
 
       - name: Get changed files for concrete-optimizer
         id: optimizer
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: |
             ./compilers/concrete-optimizer/**
@@ -60,43 +60,43 @@ jobs:
 
       - name: Get changed files in the concrete-cpu directory
         id: concrete-cpu
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./backends/concrete-cpu/implementation/**
 
       - name: Get changed files in the concrete-python directory
         id: concrete-python
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./frontends/concrete-python/**
 
       - name: Check if compiler_build_and_test_cpu workflow has changed
         id: concrete-compiler-cpu-workflow
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./.github/workflows/compiler_build_and_test_cpu.yml
 
       - name: Check if compiler_build_and_test_gpu workflow has changed
         id: concrete-compiler-gpu-workflow
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./.github/workflows/compiler_build_and_test_gpu.yml
 
       - name: Check if compiler_format_and_linting.yml workflow has changed
         id: concrete-compiler-format-and-linting-workflow
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./.github/workflows/compiler_format_and_linting.yml
 
       - name: Check if compiler_macos_build_and_test workflow has changed
         id: concrete-compiler-macos-workflow
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./.github/workflows/compiler_macos_build_and_test.yml
 
       - name: Check if compiler_publish_docker_images workflow has changed
         id: concrete-compiler-docker-images-workflow
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: |
             ./.github/workflows/compiler_publish_docker_images.yml
@@ -104,31 +104,31 @@ jobs:
 
       - name: Check if concrete_cpu_test workflow has changed
         id: concrete-cpu-workflow
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./.github/workflows/concrete_cpu_test.yml
 
       - name: Check if concrete_python_checks workflow has changed
         id: concrete-python-workflow
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./.github/workflows/concrete_python_checks.yml
 
       - name: Check if optimizer workflow has changed
         id: concrete-optimizer-workflow
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./.github/workflows/optimizer.yml
 
       - name: Get changed files in the concrete-cpu directory
         id: concrete-cpu-api
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./backends/concrete-cpu/implementation/include/**
 
       - name: Get changed files in the concrete-cuda directory
         id: concrete-cuda-api
-        uses: tj-actions/changed-files@e5ce44a30190a3af4c81b960587845596e2300ca
+        uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
         with:
           files: ./backends/concrete-cuda/implementation/include/**
 
@@ -252,7 +252,7 @@ jobs:
 # Concrete-ML tests #############################
   concrete-ml-tests-linux:
     needs: file-change
-    if: needs.file-change.outputs.concrete-python == 'true' || needs.file-change.outputs.push-main
+    if: needs.file-change.outputs.concrete-python == 'true' || needs.file-change.outputs.compiler == 'true' || needs.file-change.outputs.push-main
     uses: ./.github/workflows/start_slab.yml
     secrets: inherit
     with:
diff --git a/.github/workflows/markdown_link_check.yml b/.github/workflows/markdown_link_check.yml
index 3a4c8aa2a..a428b1259 100644
--- a/.github/workflows/markdown_link_check.yml
+++ b/.github/workflows/markdown_link_check.yml
@@ -4,6 +4,7 @@ on:
   pull_request:
     paths:
       - '**.md'
+      - .github/workflows/markdown_link_check.yml
   push:
     branches:
       - main
@@ -13,7 +14,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
     - uses: actions/checkout@master
-    - uses: gaurav-nelson/github-action-markdown-link-check@v1
+    - uses: gaurav-nelson/github-action-markdown-link-check@5c5dfc0ac2e225883c0e5f03a85311ec2830d368 # v1
       with:
         use-quiet-mode: 'yes'
         use-verbose-mode: 'yes'
diff --git a/.github/workflows/ml_benchmark_subset.yml b/.github/workflows/ml_benchmark_subset.yml
index d9c11441c..139122ece 100644
--- a/.github/workflows/ml_benchmark_subset.yml
+++ b/.github/workflows/ml_benchmark_subset.yml
@@ -46,13 +46,8 @@ jobs:
         run: |
           echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
 
-      # SSH private key is required as some dependencies are from private repos
-      - uses: webfactory/ssh-agent@v0.7.0
-        with:
-          ssh-private-key: ${{ secrets.CONCRETE_CI_SSH_PRIVATE }}
-
       - name: Fetch submodules
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           fetch-depth: 0
           submodules: recursive
@@ -86,7 +81,7 @@ jobs:
           make BINDINGS_PYTHON_ENABLED=OFF ML_BENCH_SUBSET_ID=${{ inputs.matrix_item }} run-mlbench-subset
 
       - name: Upload raw results artifact
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
         with:
           name: ${{ github.sha }}_raw
           path: compiler/benchmarks_results.json
@@ -105,13 +100,13 @@ jobs:
           --bench-date "${{ env.BENCH_DATE }}"
 
       - name: Upload parsed results artifact
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
         with:
           name: ${{ github.sha }}
           path: ${{ env.RESULTS_FILENAME }}
 
       - name: Checkout Slab repo
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           repository: zama-ai/slab
           path: slab
diff --git a/.github/workflows/optimizer.yml b/.github/workflows/optimizer.yml
index 1a6f67d12..449ac6f80 100644
--- a/.github/workflows/optimizer.yml
+++ b/.github/workflows/optimizer.yml
@@ -24,7 +24,7 @@ jobs:
     env:
       RUSTFLAGS: -D warnings
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
 
       - name: "Setup"
         uses: ./.github/workflows/optimizer_setup
@@ -56,7 +56,7 @@ jobs:
   benchmarks:
     runs-on: ubuntu-20.04
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
 
       - name: "Setup"
         uses: ./.github/workflows/optimizer_setup
@@ -73,7 +73,7 @@ jobs:
         # for artifacts restrictions see https://github.com/actions/download-artifact/issues/3
         # for cache restrictions see https://docs.github.com/en/actions/using-workflows/caching-dependencies-to-speed-up-workflows#restrictions-for-accessing-a-cache
         # and  https://github.com/actions/cache/issues/692
-        uses: dawidd6/action-download-artifact@v5
+        uses: dawidd6/action-download-artifact@bf251b5aa9c2f7eeb574a96ee720e24f801b7c11
         with:
           github_token: ${{ secrets.GITHUB_TOKEN }}
           workflow_conclusion: ""
@@ -83,7 +83,7 @@ jobs:
           path: ./benchmark
 
       - name: Save benchmark result to file
-        uses: benchmark-action/github-action-benchmark@v1
+        uses: benchmark-action/github-action-benchmark@4de1bed97a47495fc4c5404952da0499e31f5c29 # v1.20.3
         with:
           tool: 'cargo'
           output-file-path: ./compilers/concrete-optimizer/bench_result.txt
@@ -96,7 +96,7 @@ jobs:
           summary-always: true
 
       - name: Upload benchmark data
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
         with:
           path: ./benchmark
           name: ${{ runner.os }}-benchmark
diff --git a/.github/workflows/optimizer_setup/action.yml b/.github/workflows/optimizer_setup/action.yml
index 8e0b1814c..d5887aa7d 100644
--- a/.github/workflows/optimizer_setup/action.yml
+++ b/.github/workflows/optimizer_setup/action.yml
@@ -7,15 +7,9 @@ runs:
   using: "composite"
   steps:
     - name: Rust install
-      uses: actions-rs/toolchain@v1
+      uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af # v1.0.7
       with:
         toolchain: stable
 
     - name: Download cargo cache
-      uses: Swatinem/rust-cache@v2
-
-    # A SSH private key is required as some dependencies are from private repos
-    - name: Set ssh keys
-      uses: webfactory/ssh-agent@v0.6.0
-      with:
-        ssh-private-key: ${{ inputs.ssh_private_key }}
+      uses: Swatinem/rust-cache@23bce251a8cd2ffc3c1075eaa2367cf899916d84 # v2.7.3
diff --git a/.github/workflows/refresh_zama_pypi.yml b/.github/workflows/refresh_zama_pypi.yml
index 72a237db2..787178d63 100644
--- a/.github/workflows/refresh_zama_pypi.yml
+++ b/.github/workflows/refresh_zama_pypi.yml
@@ -7,7 +7,7 @@ jobs:
   refresh:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3
+      - uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v3
 
       - name: Update index and invalidate cache
         env:
diff --git a/.github/workflows/setup_rust_toolchain_for_concrete_cpu/action.yml b/.github/workflows/setup_rust_toolchain_for_concrete_cpu/action.yml
index 7deb2dbfd..a94b9d78a 100644
--- a/.github/workflows/setup_rust_toolchain_for_concrete_cpu/action.yml
+++ b/.github/workflows/setup_rust_toolchain_for_concrete_cpu/action.yml
@@ -2,7 +2,7 @@ runs:
   using: "composite"
   steps:
     - name: Install rust
-      uses: actions-rs/toolchain@v1
+      uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af # v1.0.7
       with:
-        toolchain: nightly-2024-01-31
+        toolchain: nightly-2024-07-01
         override: true
diff --git a/.github/workflows/start_slab.yml b/.github/workflows/start_slab.yml
index 07aac3ef6..67bc437f4 100644
--- a/.github/workflows/start_slab.yml
+++ b/.github/workflows/start_slab.yml
@@ -28,7 +28,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout concrete
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           fetch-depth: 0
 
@@ -39,7 +39,7 @@ jobs:
           echo "GIT_REF=${{ github.ref_name }}" >> $GITHUB_ENV
 
       - name: Checkout Slab repo
-        uses: actions/checkout@v3
+        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 # v4.1.7
         with:
           repository: zama-ai/slab
           path: slab
diff --git a/README.md b/README.md
index 395e58908..23c3a236a 100644
--- a/README.md
+++ b/README.md
@@ -129,7 +129,7 @@ assert result == add(2, 6)
 - [[Video tutorial] How To Get Started With Concrete - Zama's Fully Homomorphic Encryption Compiler](https://www.zama.ai/post/how-to-started-with-concrete-zama-fully-homomorphic-encryption-compiler)
 - [The Encrypted Game of Life in Python Using Concrete](https://www.zama.ai/post/the-encrypted-game-of-life-using-concrete-python)
 - [Encrypted Key-value Database Using Homomorphic Encryption](https://www.zama.ai/post/encrypted-key-value-database-using-homomorphic-encryption)
-- [SHA-256 Implementation Using Concrete](https://github.com/zama-ai/concrete/blob/main/docs/application-tutorial/sha256.ipynb)
+- [SHA-256 Implementation Using Concrete](https://github.com/zama-ai/concrete/blob/main/frontends/concrete-python/examples/sha256/sha256.ipynb)
 
 *Explore more useful resources in [Concrete tutorials](https://docs.zama.ai/concrete/v/main-1/tutorials/see-all-tutorials) and [Awesome Zama repo](https://github.com/zama-ai/awesome-zama?tab=readme-ov-file#concrete). If you have built awesome projects using Concrete, please let us know and we will be happy to showcase them here!*
 
diff --git a/backends/concrete-cpu/implementation/Cargo.lock b/backends/concrete-cpu/implementation/Cargo.lock
index 15c6af49e..837c4aecb 100644
--- a/backends/concrete-cpu/implementation/Cargo.lock
+++ b/backends/concrete-cpu/implementation/Cargo.lock
@@ -45,6 +45,15 @@ version = "1.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "d468802bab17cbc0cc575e9b053f41e72aa36bfa6b7f55e3529ffa43161b97fa"
 
+[[package]]
+name = "bincode"
+version = "1.3.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "b1f45e9417d87227c7a56d22e471c6206462cba514c7590c09aff4cf6d1ddcad"
+dependencies = [
+ "serde",
+]
+
 [[package]]
 name = "bitflags"
 version = "1.3.2"
@@ -59,9 +68,9 @@ checksum = "a3e2c3daef883ecc1b5d58c15adae93470a91d425f3532ba1695849656af3fc1"
 
 [[package]]
 name = "bytemuck"
-version = "1.13.1"
+version = "1.16.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "17febce684fd15d89027105661fec94afb475cb995fbc59d2865198446ba2eea"
+checksum = "b236fc92302c97ed75b38da1f4917b5cdda4984745740f153a5d3059e48d725e"
 
 [[package]]
 name = "cast"
@@ -170,14 +179,14 @@ dependencies = [
  "cbindgen",
  "concrete-cpu-noise-model",
  "concrete-csprng",
- "concrete-fft 0.2.1",
+ "concrete-fft",
  "concrete-security-curves",
  "criterion",
  "dyn-stack",
  "libc",
  "num-complex",
  "once_cell",
- "pulp 0.10.4",
+ "pulp",
  "rayon",
  "readonly",
  "tfhe",
@@ -193,9 +202,9 @@ dependencies = [
 
 [[package]]
 name = "concrete-csprng"
-version = "0.4.0"
+version = "0.4.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1c7080e711c39c3dda834604f7c31f4634a38b8dddeb9f24db5d7801751415ad"
+checksum = "90518357249582c16a6b64d7410243dfb3109d5bf0ad1665c058c9a59f2fc4cc"
 dependencies = [
  "aes",
  "libc",
@@ -204,29 +213,26 @@ dependencies = [
 
 [[package]]
 name = "concrete-fft"
-version = "0.2.1"
+version = "0.4.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7ab720f85aa80be9d78fba5a941458ec50d97c7856aced76707f0bf227a0c6ca"
+checksum = "3144f883422ee22c65d4f408c11b3406513eadc0d50b3d65bfadcb97852817e0"
 dependencies = [
  "aligned-vec",
  "bytemuck",
  "dyn-stack",
  "num-complex",
- "pulp 0.11.11",
+ "pulp",
+ "serde",
 ]
 
 [[package]]
-name = "concrete-fft"
-version = "0.3.0"
+name = "concrete-ntt"
+version = "0.1.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cdb823cf0c7a83ac8f7e38bcda73d754fb8f57797f342cdd7c20a61a1db8b058"
+checksum = "b4f4643dbd5de069e099122ae6c2bbd3db70d69ffec348dfc228448d635f949e"
 dependencies = [
  "aligned-vec",
- "bytemuck",
- "dyn-stack",
- "num-complex",
- "pulp 0.11.11",
- "serde",
+ "pulp",
 ]
 
 [[package]]
@@ -387,6 +393,17 @@ dependencies = [
  "version_check",
 ]
 
+[[package]]
+name = "getrandom"
+version = "0.2.15"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c4567c8db10ae91089c99af84c68c38da3ec2f087c3f82960bcdbf3656b6f4d7"
+dependencies = [
+ "cfg-if",
+ "libc",
+ "wasi",
+]
+
 [[package]]
 name = "half"
 version = "1.8.2"
@@ -500,9 +517,15 @@ checksum = "e2abad23fbc42b3700f2f279844dc832adb2b2eb069b2df918f455c4e18cc646"
 
 [[package]]
 name = "libc"
-version = "0.2.147"
+version = "0.2.155"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b4668fb0ea861c1df094127ac5f1da3409a82116a4ba74fca2e58ef927159bb3"
+checksum = "97b3888a4aecf77e811145cadf6eef5901f4782c53886191b2f693f24761847c"
+
+[[package]]
+name = "libm"
+version = "0.2.8"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "4ec2a862134d2a7d32d7983ddcdd1c4923530833c9f2ea1a44fc5fa473989058"
 
 [[package]]
 name = "linux-raw-sys"
@@ -527,9 +550,9 @@ dependencies = [
 
 [[package]]
 name = "num-complex"
-version = "0.4.3"
+version = "0.4.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "02e0d21255c828d6f128a1e41534206671e8c3ea0c62f32291e808dc82cff17d"
+checksum = "23c6602fda94a57c990fe0df199a035d83576b496aa29f4e634a8ac6004e68a6"
 dependencies = [
  "bytemuck",
  "num-traits",
@@ -573,6 +596,12 @@ version = "6.5.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "4d5d9eb14b174ee9aa2ef96dc2b94637a2d4b6e7cb873c7e171f0c20c6cf3eac"
 
+[[package]]
+name = "paste"
+version = "1.0.15"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "57c0d7b74b563b49d38dae00a0c37d4d6de9b432382b2892f0574ddcae73fd0a"
+
 [[package]]
 name = "plotters"
 version = "0.3.5"
@@ -612,30 +641,14 @@ dependencies = [
 
 [[package]]
 name = "pulp"
-version = "0.10.4"
+version = "0.18.21"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "284c392c810680912400c6f70879a8cde404344db6b68ff52cc3990c020324d1"
-dependencies = [
- "bytemuck",
-]
-
-[[package]]
-name = "pulp"
-version = "0.11.11"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "866e8018d6397b0717100dd4a7948fc8cbc8c4b8ce3e39e98a0e1e878d3ba925"
-dependencies = [
- "bytemuck",
-]
-
-[[package]]
-name = "pulp"
-version = "0.13.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "50ff10f8f3224a1cab64371fbab0fff9b9cb5892076eb9032dc825c2e50894e4"
+checksum = "0ec8d02258294f59e4e223b41ad7e81c874aa6b15bc4ced9ba3965826da0eed5"
 dependencies = [
  "bytemuck",
+ "libm",
  "num-complex",
+ "reborrow",
 ]
 
 [[package]]
@@ -647,6 +660,15 @@ dependencies = [
  "proc-macro2",
 ]
 
+[[package]]
+name = "rand_core"
+version = "0.6.4"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ec0be4795e2f6a28069bec0b5ff3e2ac9bafc99e6a9a7dc3547996c5c816922c"
+dependencies = [
+ "getrandom",
+]
+
 [[package]]
 name = "rayon"
 version = "1.7.0"
@@ -835,19 +857,47 @@ checksum = "222a222a5bfe1bba4a77b45ec488a741b3cb8872e5e499451fd7d0129c9c7c3d"
 
 [[package]]
 name = "tfhe"
-version = "0.4.1"
+version = "0.7.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "df9c5cc5c4a1bd0bcfc2e7a3e83a8851dab02ff59d63ca8bc17da0e069498f71"
+checksum = "273f968d322dd02cd76a51fe8e2312b5807631d33e99ea06ccfd8034d558c562"
 dependencies = [
  "aligned-vec",
+ "bincode",
  "bytemuck",
  "concrete-csprng",
- "concrete-fft 0.3.0",
+ "concrete-fft",
+ "concrete-ntt",
  "dyn-stack",
  "itertools 0.11.0",
- "pulp 0.13.2",
+ "paste",
+ "pulp",
+ "rand_core",
  "rayon",
  "serde",
+ "tfhe-versionable",
+]
+
+[[package]]
+name = "tfhe-versionable"
+version = "0.1.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c7977829d8b2d59a16d9780ffbf8e4084a8d67f32c0e557b647136d094d391b2"
+dependencies = [
+ "aligned-vec",
+ "num-complex",
+ "serde",
+ "tfhe-versionable-derive",
+]
+
+[[package]]
+name = "tfhe-versionable-derive"
+version = "0.1.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "754aede9c522d81d852b46714d42137d307f418b8b6eed4db03d1466080f4f9d"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn 2.0.22",
 ]
 
 [[package]]
@@ -897,6 +947,12 @@ dependencies = [
  "winapi-util",
 ]
 
+[[package]]
+name = "wasi"
+version = "0.11.0+wasi-snapshot-preview1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "9c8d87e72b64a3b4db28d11ce29237c246188f4f51057d65a7eab63b7987e423"
+
 [[package]]
 name = "wasm-bindgen"
 version = "0.2.87"
diff --git a/backends/concrete-cpu/implementation/Cargo.toml b/backends/concrete-cpu/implementation/Cargo.toml
index c40861b16..066512e1d 100644
--- a/backends/concrete-cpu/implementation/Cargo.toml
+++ b/backends/concrete-cpu/implementation/Cargo.toml
@@ -10,18 +10,18 @@ crate-type = ["lib", "staticlib"]
 
 
 [dependencies]
-concrete-csprng = { version = "0.4", optional = true, features = [
+concrete-csprng = { version = "0.4.1", optional = true, features = [
   "generator_fallback",
 ] }
 concrete-cpu-noise-model = { path = "../noise-model/" }
 concrete-security-curves = { path = "../../../tools/parameter-curves/concrete-security-curves-rust" }
 libc = { version = "0.2", default-features = false }
-pulp = { version = "0.10", default-features = false }
+pulp = { version = "0.18.8", default-features = false }
 dyn-stack = { version = "0.9", default-features = false }
 readonly = "0.2"
 aligned-vec = { version = "0.5", default-features = false }
-concrete-fft = { version = "0.2.1", default-features = false }
-bytemuck = "1.12"
+concrete-fft = { version = "0.4.1", default-features = false }
+bytemuck = "1.14.3"
 num-complex = { version = "0.4", default-features = false, features = [
   "bytemuck",
 ] }
@@ -29,16 +29,16 @@ num-complex = { version = "0.4", default-features = false, features = [
 rayon = { version = "1.6", optional = true }
 once_cell = { version = "1.16", optional = true }
 
-tfhe = { version = "0.4", features = [] }
+tfhe = { version = "0.7", features = [] }
 
 [target.x86_64-unknown-unix-gnu.dependencies]
-tfhe = { version = "0.4", features = ["x86_64-unix"] }
+tfhe = { version = "0.7", features = ["x86_64-unix"] }
 
 [target.aarch64-unknown-unix-gnu.dependencies]
-tfhe = { version = "0.4", features = ["aarch64-unix"] }
+tfhe = { version = "0.7", features = ["aarch64-unix"] }
 
 [target.x86_64-pc-windows-gnu.dependencies]
-tfhe = { version = "0.4", features = ["x86_64"] }
+tfhe = { version = "0.7", features = ["x86_64"] }
 
 [features]
 default = ["parallel", "std", "csprng"]
diff --git a/backends/concrete-cpu/implementation/src/c_api/bootstrap.rs b/backends/concrete-cpu/implementation/src/c_api/bootstrap.rs
index 717b391c1..7576c1003 100644
--- a/backends/concrete-cpu/implementation/src/c_api/bootstrap.rs
+++ b/backends/concrete-cpu/implementation/src/c_api/bootstrap.rs
@@ -73,14 +73,14 @@ pub unsafe extern "C" fn concrete_cpu_init_lwe_bootstrap_key_u64(
                 &lwe_sk,
                 &glwe_sk,
                 &mut bsk,
-                Variance::from_variance(variance),
+                Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
                 &mut *(csprng as *mut EncryptionRandomGenerator<SoftwareRandomGenerator>),
             ),
             Parallelism::Rayon => par_generate_lwe_bootstrap_key(
                 &lwe_sk,
                 &glwe_sk,
                 &mut bsk,
-                Variance::from_variance(variance),
+                Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
                 &mut *(csprng as *mut EncryptionRandomGenerator<SoftwareRandomGenerator>),
             ),
         }
@@ -151,14 +151,14 @@ pub unsafe extern "C" fn concrete_cpu_init_seeded_lwe_bootstrap_key_u64(
                 &lwe_sk,
                 &glwe_sk,
                 &mut bsk,
-                Variance::from_variance(variance),
+                Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
                 seeder,
             ),
             Parallelism::Rayon => par_generate_seeded_lwe_bootstrap_key(
                 &lwe_sk,
                 &glwe_sk,
                 &mut bsk,
-                Variance::from_variance(variance),
+                Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
                 seeder,
             ),
         }
diff --git a/backends/concrete-cpu/implementation/src/c_api/keyswitch.rs b/backends/concrete-cpu/implementation/src/c_api/keyswitch.rs
index abc5c5246..86d9a82c9 100644
--- a/backends/concrete-cpu/implementation/src/c_api/keyswitch.rs
+++ b/backends/concrete-cpu/implementation/src/c_api/keyswitch.rs
@@ -53,7 +53,7 @@ pub unsafe extern "C" fn concrete_cpu_init_lwe_keyswitch_key_u64(
             &input_key,
             &output_key,
             &mut ksk,
-            Variance::from_variance(variance),
+            Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
             &mut *(csprng as *mut EncryptionRandomGenerator<SoftwareRandomGenerator>),
         )
     });
@@ -110,7 +110,7 @@ pub unsafe extern "C" fn concrete_cpu_init_seeded_lwe_keyswitch_key_u64(
             &input_key,
             &output_key,
             &mut seeded_ksk,
-            Variance::from_variance(variance),
+            Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
             seeder,
         )
     });
diff --git a/backends/concrete-cpu/implementation/src/c_api/secret_key.rs b/backends/concrete-cpu/implementation/src/c_api/secret_key.rs
index 9d9581413..ed97f9aea 100644
--- a/backends/concrete-cpu/implementation/src/c_api/secret_key.rs
+++ b/backends/concrete-cpu/implementation/src/c_api/secret_key.rs
@@ -53,7 +53,7 @@ pub unsafe extern "C" fn concrete_cpu_encrypt_lwe_ciphertext_u64(
             &lwe_sk,
             &mut lwe_out,
             Plaintext(input),
-            Variance::from_variance(variance),
+            Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
             &mut *(csprng as *mut EncryptionRandomGenerator<SoftwareRandomGenerator>),
         );
     });
@@ -95,7 +95,7 @@ pub unsafe extern "C" fn concrete_cpu_encrypt_seeded_lwe_ciphertext_u64(
             &lwe_sk,
             &mut seeded_lwe_ciphertext,
             Plaintext(input),
-            Variance::from_variance(variance),
+            Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
             seeder,
         );
         *seeded_lwe_out = seeded_lwe_ciphertext.into_scalar();
@@ -145,7 +145,7 @@ pub unsafe extern "C" fn concrete_cpu_encrypt_ggsw_ciphertext_u64(
             &glwe_sk,
             &mut ggsw_out,
             Plaintext(input),
-            Variance::from_variance(variance),
+            Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
             &mut *(csprng as *mut EncryptionRandomGenerator<SoftwareRandomGenerator>),
         );
     });
diff --git a/backends/concrete-cpu/implementation/src/c_api/wop_pbs.rs b/backends/concrete-cpu/implementation/src/c_api/wop_pbs.rs
index 753b19c71..d649403d2 100644
--- a/backends/concrete-cpu/implementation/src/c_api/wop_pbs.rs
+++ b/backends/concrete-cpu/implementation/src/c_api/wop_pbs.rs
@@ -71,14 +71,14 @@ pub unsafe extern "C" fn concrete_cpu_init_lwe_circuit_bootstrap_private_functio
                 &mut fpksk_list,
                 &input_key,
                 &output_key,
-                Variance::from_variance(variance),
+                Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
                 &mut *(csprng as *mut EncryptionRandomGenerator<SoftwareRandomGenerator>),
             ),
             Parallelism::Rayon => par_generate_circuit_bootstrap_lwe_pfpksk_list(
                 &mut fpksk_list,
                 &input_key,
                 &output_key,
-                Variance::from_variance(variance),
+                Gaussian::from_dispersion_parameter(Variance::from_variance(variance), 0.0),
                 &mut *(csprng as *mut EncryptionRandomGenerator<SoftwareRandomGenerator>),
             ),
         }
diff --git a/backends/concrete-cpu/implementation/src/lib.rs b/backends/concrete-cpu/implementation/src/lib.rs
index 001c0bfc6..f4d6d4741 100644
--- a/backends/concrete-cpu/implementation/src/lib.rs
+++ b/backends/concrete-cpu/implementation/src/lib.rs
@@ -1,5 +1,4 @@
 #![allow(clippy::missing_safety_doc, dead_code)]
-#![cfg_attr(feature = "nightly", feature(stdsimd))]
 #![cfg_attr(feature = "nightly", feature(avx512_target_feature))]
 
 extern crate alloc;
diff --git a/backends/concrete-cuda/implementation/src/bootstrap_amortized.cu b/backends/concrete-cuda/implementation/src/bootstrap_amortized.cu
index 7ac1eabb8..15f3aaefe 100644
--- a/backends/concrete-cuda/implementation/src/bootstrap_amortized.cu
+++ b/backends/concrete-cuda/implementation/src/bootstrap_amortized.cu
@@ -1,3 +1,4 @@
+#include <err.h>
 #include "bootstrap_amortized.cuh"
 
 /*
@@ -85,6 +86,8 @@ void scratch_cuda_bootstrap_amortized_32(void *v_stream, uint32_t gpu_index,
         input_lwe_ciphertext_count, max_shared_memory, allocate_gpu_memory);
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 }
@@ -141,6 +144,8 @@ void scratch_cuda_bootstrap_amortized_64(void *v_stream, uint32_t gpu_index,
         input_lwe_ciphertext_count, max_shared_memory, allocate_gpu_memory);
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 }
@@ -216,6 +221,8 @@ void cuda_bootstrap_amortized_lwe_ciphertext_vector_32(
         lwe_idx, max_shared_memory);
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 }
@@ -353,6 +360,8 @@ void cuda_bootstrap_amortized_lwe_ciphertext_vector_64(
         lwe_idx, max_shared_memory);
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 }
diff --git a/backends/concrete-cuda/implementation/src/bootstrap_low_latency.cu b/backends/concrete-cuda/implementation/src/bootstrap_low_latency.cu
index ca4a237a6..9ae3f6f51 100644
--- a/backends/concrete-cuda/implementation/src/bootstrap_low_latency.cu
+++ b/backends/concrete-cuda/implementation/src/bootstrap_low_latency.cu
@@ -1,3 +1,4 @@
+#include <err.h>
 #include "bootstrap_fast_low_latency.cuh"
 #include "bootstrap_low_latency.cuh"
 /*
@@ -100,6 +101,8 @@ uint64_t get_buffer_size_bootstrap_low_latency_64(
           input_lwe_ciphertext_count, max_shared_memory);
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     return 0;
     break;
   }
@@ -244,6 +247,8 @@ void scratch_cuda_bootstrap_low_latency_32(
           allocate_gpu_memory);
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 }
@@ -377,6 +382,8 @@ void scratch_cuda_bootstrap_low_latency_64(
           allocate_gpu_memory);
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 }
@@ -527,6 +534,8 @@ void cuda_bootstrap_low_latency_lwe_ciphertext_vector_32(
           num_samples, num_lut_vectors, max_shared_memory);
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 }
@@ -744,7 +753,10 @@ void cuda_bootstrap_low_latency_lwe_ciphertext_vector_64(
           (uint64_t *)lwe_array_in, (double2 *)bootstrapping_key, pbs_buffer,
           glwe_dimension, lwe_dimension, polynomial_size, base_log, level_count,
           num_samples, num_lut_vectors, max_shared_memory);
+    break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 }
diff --git a/backends/concrete-cuda/implementation/src/bootstrap_multibit.cu b/backends/concrete-cuda/implementation/src/bootstrap_multibit.cu
index 1e130fadb..98c9292d5 100644
--- a/backends/concrete-cuda/implementation/src/bootstrap_multibit.cu
+++ b/backends/concrete-cuda/implementation/src/bootstrap_multibit.cu
@@ -1,3 +1,4 @@
+#include <err.h>
 #include "bootstrap_fast_multibit.cuh"
 #include "bootstrap_multibit.cuh"
 #include "bootstrap_multibit.h"
@@ -172,6 +173,8 @@ void cuda_multi_bit_pbs_lwe_ciphertext_vector_64(
     }
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 }
@@ -311,6 +314,8 @@ void scratch_cuda_multi_bit_pbs_64(
     }
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 }
diff --git a/backends/concrete-cuda/implementation/src/crypto/bootstrapping_key.cuh b/backends/concrete-cuda/implementation/src/crypto/bootstrapping_key.cuh
index 0c0ddbac0..94c425b31 100644
--- a/backends/concrete-cuda/implementation/src/crypto/bootstrapping_key.cuh
+++ b/backends/concrete-cuda/implementation/src/crypto/bootstrapping_key.cuh
@@ -8,6 +8,7 @@
 #include "polynomial/polynomial.cuh"
 #include <atomic>
 #include <cstdint>
+#include <err.h>
 
 __device__ inline int get_start_ith_ggsw(int i, uint32_t polynomial_size,
                                          int glwe_dimension,
@@ -235,6 +236,8 @@ void cuda_convert_lwe_bootstrap_key(double2 *dest, ST *src, void *v_stream,
     }
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
 
@@ -446,6 +449,8 @@ void cuda_fourier_polynomial_mul(void *_input1, void *_input2, void *_output,
     }
     break;
   default:
+    errx(EXIT_FAILURE, "polynomial size %u is not supported. Supported values "
+	 "are: 256, 512, 1024, 2048, 4096, 8192, 16384.", polynomial_size);
     break;
   }
   cuda_drop_async(buffer, stream, gpu_index);
diff --git a/ci/scripts/make_apidocs.sh b/ci/scripts/make_apidocs.sh
index dd2791bcb..378fc6879 100755
--- a/ci/scripts/make_apidocs.sh
+++ b/ci/scripts/make_apidocs.sh
@@ -31,20 +31,6 @@ pip install lazydocs
 .venvtrash/bin/lazydocs --output-path="../docs/dev/api" --overview-file="README.md" --src-base-url="../../" --no-watermark concrete
 cd -
 
-# Add the files in the summary
-FILES=$(cd docs && find dev/api -name "*.md")
-
-TMP_FILE=$(mktemp /tmp/apidocs.XXXXXX)
-rm -rf "$TMP_FILE"
-touch "$TMP_FILE"
-
-for f in $FILES
-do
-    filename=$(echo "$f" | rev | cut -d '/' -f 1 | rev)
-
-    echo "  * [$filename]($f)" >> "$TMP_FILE"
-done
-
 rm -rf "$FRESH_DIRECTORY"
 
 # New files?
diff --git a/ci/scripts/test_cml.sh b/ci/scripts/test_cml.sh
index 466f0d5cb..a00445e79 100755
--- a/ci/scripts/test_cml.sh
+++ b/ci/scripts/test_cml.sh
@@ -206,6 +206,9 @@ then
     git diff
 fi
 
+# Update the pandas files in CML
+make update_encrypted_dataframe
+
 # Launch CML tests with pytest (and ignore flaky ones)
 # As compared to regular `make pytest`, known flaky errors from Concrete ML are simply ignored
 # and coverage is disabled
diff --git a/ci/slab.toml b/ci/slab.toml
index e97d595da..0a42840d0 100644
--- a/ci/slab.toml
+++ b/ci/slab.toml
@@ -1,32 +1,42 @@
+# This is the new version of Slab that handles multi backend providers.
+[backend.aws.m7i-cpu-bench]
+region = "eu-west-1"
+image_id = "ami-002bdcd64b8472cf9" # Based on Ubuntu 22.4
+instance_type = "m7i.48xlarge"
+security_group = ["sg-0e55cc31dfda0d8a7", ]
+
 [profile.m7i-cpu-bench]
 region = "eu-west-1"
 image_id = "ami-002bdcd64b8472cf9" # Based on Ubuntu 22.4
 instance_type = "m7i.48xlarge"
+security_group= ["sg-0e55cc31dfda0d8a7", ]
 
 [profile.m7i-cpu-test]
 region = "eu-west-1"
 image_id = "ami-002bdcd64b8472cf9"
 instance_type = "m7i.16xlarge"
+security_group= ["sg-0e55cc31dfda0d8a7", ]
 
 [profile.m7i-metal]
 region = "eu-west-1"
 image_id = "ami-002bdcd64b8472cf9"
 instance_type = "m7i.metal-24xl"
+security_group= ["sg-0e55cc31dfda0d8a7", ]
 
 [profile.gpu-bench]
 region = "us-east-1"
 image_id = "ami-08e27480d79e82238"
 instance_type = "p3.2xlarge"
 subnet_id = "subnet-8123c9e7"
-security_group= ["sg-0f8b52622a2669491", ]
+security_group= ["sg-017afab1f328af917", ]
 
 # Docker is well configured for test inside docker in this AMI
 [profile.gpu-test]
 region = "us-east-1"
-image_id = "ami-0c4773f5626d919b6"
+image_id = "ami-0257c6ad39f902b5e"
 instance_type = "p3.2xlarge"
 subnet_id = "subnet-8123c9e7"
-security_group= ["sg-0f8b52622a2669491", ]
+security_group= ["sg-017afab1f328af917", ]
 
 # It has CUDA Driver (<=12.5) and Docker installed
 [profile.gpu-test-ubuntu22]
@@ -34,13 +44,14 @@ region = "us-east-1"
 image_id = "ami-05385e0c3c574621f"
 instance_type = "p3.2xlarge"
 subnet_id = "subnet-8123c9e7"
-security_group= ["sg-0f8b52622a2669491", ]
+security_group= ["sg-017afab1f328af917", ]
 
 [profile.slurm-cluster]
 region = "eu-west-3"
 image_id = "ami-0bb5bb9cb747b5ddd"
 instance_id = "i-0e5ae2a14134d6275"
 instance_type = "m6i.8xlarge"
+security_group= ["sg-02dd8470fa845f31b", ]
 
 #################################################
 # Compiler commands
@@ -121,5 +132,5 @@ check_run_name = "Concrete Python Release (GPU)"
 
 [command.concrete-python-test-gpu-wheel]
 workflow = "concrete_python_test_gpu_wheel.yml"
-profile = "gpu-test-ubuntu22"
+profile = "gpu-test"
 check_run_name = "Concrete Python Test GPU Wheel"
diff --git a/compilers/concrete-compiler/compiler/CMakeLists.txt b/compilers/concrete-compiler/compiler/CMakeLists.txt
index 6984a89b6..a073bc68c 100644
--- a/compilers/concrete-compiler/compiler/CMakeLists.txt
+++ b/compilers/concrete-compiler/compiler/CMakeLists.txt
@@ -136,7 +136,7 @@ ExternalProject_Add(
   DOWNLOAD_COMMAND ""
   CONFIGURE_COMMAND "" OUTPUT "${CONCRETE_CPU_STATIC_LIB}"
   BUILD_ALWAYS true
-  BUILD_COMMAND cargo +nightly-2024-01-31 build --release --features=nightly
+  BUILD_COMMAND cargo +nightly-2024-07-01 build --release --features=nightly
   BINARY_DIR "${CONCRETE_CPU_DIR}"
   INSTALL_COMMAND ""
   LOG_BUILD ON
diff --git a/compilers/concrete-compiler/compiler/Makefile b/compilers/concrete-compiler/compiler/Makefile
index f45316c4c..e10e88a49 100644
--- a/compilers/concrete-compiler/compiler/Makefile
+++ b/compilers/concrete-compiler/compiler/Makefile
@@ -329,19 +329,9 @@ run-end-to-end-tests-gpu: build-end-to-end-test generate-gpu-tests
 	--backend=gpu \
 	$(FIXTURE_GPU_DIR)/*.yaml
 
-## end-to-end-dataflow-tests
-
-build-end-to-end-dataflow-tests: build-initialized
-	cmake --build $(BUILD_DIR) --target end_to_end_jit_auto_parallelization
-	cmake --build $(BUILD_DIR) --target end_to_end_jit_distributed
-	cmake --build $(BUILD_DIR) --target end_to_end_jit_aes_short
-
-run-end-to-end-dataflow-tests: build-end-to-end-dataflow-tests
-	$(BUILD_DIR)/tools/concretelang/tests/end_to_end_tests/end_to_end_jit_auto_parallelization
-	$(BUILD_DIR)/tools/concretelang/tests/end_to_end_tests/end_to_end_jit_distributed
+## end-to-end-distributed-tests
 
 run-end-to-end-distributed-tests: $(GTEST_PARALLEL_PY) build-end-to-end-tests generate-cpu-tests
-	srun -n4 -c8 --kill-on-bad-exit=1 $(BUILD_DIR)/tools/concretelang/tests/end_to_end_tests/end_to_end_jit_distributed
 	srun -n4 -c8 --kill-on-bad-exit=1 $(BUILD_DIR)/tools/concretelang/tests/end_to_end_tests/end_to_end_test \
 	  --optimizer-strategy=dag-mono --dataflow-parallelize=1 \
 	  $(FIXTURE_CPU_DIR)/*round*.yaml $(FIXTURE_CPU_DIR)/*relu*.yaml $(FIXTURE_CPU_DIR)/*linalg*.yaml
@@ -562,8 +552,6 @@ FORCE:
 	run-unit-tests \
 	run-python-tests \
 	build-end-to-end-tests \
-	build-end-to-end-dataflow-tests \
-	run-end-to-end-dataflow-tests \
 	run-random-end-to-end-tests-for-each-options \
 	opt \
 	mlir-opt \
diff --git a/compilers/concrete-compiler/compiler/README.md b/compilers/concrete-compiler/compiler/README.md
index 6223f5ed0..3a3d42277 100644
--- a/compilers/concrete-compiler/compiler/README.md
+++ b/compilers/concrete-compiler/compiler/README.md
@@ -148,6 +148,9 @@ You can create a tarball containing libs, bins, and include files for the tools
 
 ### Build the Python Package
 
+> [!IMPORTANT]  
+> The wheel built in the following steps is for `concrete-compiler` (which doesn't have the frontend layer) and not `concrete-python`. If you are interested in the `concrete-python` package, then you should build it from [here](https://github.com/zama-ai/concrete/tree/main/frontends/concrete-python) instead.
+
 Currently supported platforms:
 - Linux x86_64 for python 3.8, 3.9, 3.10, and 3.11
 
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Dialect/FHE/IR/FHEOps.td b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/FHE/IR/FHEOps.td
index 56242b413..9ab387127 100644
--- a/compilers/concrete-compiler/compiler/include/concretelang/Dialect/FHE/IR/FHEOps.td
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/FHE/IR/FHEOps.td
@@ -19,7 +19,7 @@ include "concretelang/Dialect/FHE/Interfaces/FHEInterfaces.td"
 class FHE_Op<string mnemonic, list<Trait> traits = []> :
     Op<FHE_Dialect, mnemonic, traits>;
 
-def FHE_ZeroEintOp : FHE_Op<"zero", [Pure, ConstantNoise]> {
+def FHE_ZeroEintOp : FHE_Op<"zero", [Pure, ZeroNoise]> {
     let summary = "Returns a trivial encrypted integer of 0";
 
     let description = [{
@@ -34,7 +34,7 @@ def FHE_ZeroEintOp : FHE_Op<"zero", [Pure, ConstantNoise]> {
     let results = (outs FHE_AnyEncryptedInteger:$out);
 }
 
-def FHE_ZeroTensorOp : FHE_Op<"zero_tensor", [Pure, ConstantNoise]> {
+def FHE_ZeroTensorOp : FHE_Op<"zero_tensor", [Pure, ZeroNoise]> {
     let summary = "Creates a new tensor with all elements initialized to an encrypted zero.";
 
     let description = [{
@@ -52,7 +52,7 @@ def FHE_ZeroTensorOp : FHE_Op<"zero_tensor", [Pure, ConstantNoise]> {
     let results = (outs Type<And<[TensorOf<[FHE_AnyEncryptedInteger]>.predicate, HasStaticShapePred]>>:$tensor);
 }
 
-def FHE_AddEintIntOp : FHE_Op<"add_eint_int", [Pure, BinaryEintInt, DeclareOpInterfaceMethods<Binary>]> {
+def FHE_AddEintIntOp : FHE_Op<"add_eint_int", [Pure, BinaryEintInt, AdditiveNoise,  DeclareOpInterfaceMethods<Binary>]> {
     let summary = "Adds an encrypted integer and a clear integer";
 
     let description = [{
@@ -85,7 +85,7 @@ def FHE_AddEintIntOp : FHE_Op<"add_eint_int", [Pure, BinaryEintInt, DeclareOpInt
     let hasFolder = 1;
 }
 
-def FHE_AddEintOp : FHE_Op<"add_eint", [Pure, BinaryEint, DeclareOpInterfaceMethods<BinaryEint>]> {
+def FHE_AddEintOp : FHE_Op<"add_eint", [Pure, BinaryEint, AdditiveNoise, DeclareOpInterfaceMethods<BinaryEint>]> {
     let summary = "Adds two encrypted integers";
 
     let description = [{
@@ -117,7 +117,7 @@ def FHE_AddEintOp : FHE_Op<"add_eint", [Pure, BinaryEint, DeclareOpInterfaceMeth
     let hasVerifier = 1;
 }
 
-def FHE_SubIntEintOp : FHE_Op<"sub_int_eint", [Pure, BinaryIntEint]> {
+def FHE_SubIntEintOp : FHE_Op<"sub_int_eint", [Pure, BinaryIntEint, AdditiveNoise]> {
     let summary = "Subtract an encrypted integer from a clear integer";
 
     let description = [{
@@ -149,7 +149,7 @@ def FHE_SubIntEintOp : FHE_Op<"sub_int_eint", [Pure, BinaryIntEint]> {
     let hasVerifier = 1;
 }
 
-def FHE_SubEintIntOp : FHE_Op<"sub_eint_int", [Pure, BinaryEintInt, DeclareOpInterfaceMethods<Binary>]> {
+def FHE_SubEintIntOp : FHE_Op<"sub_eint_int", [Pure, BinaryEintInt, AdditiveNoise, DeclareOpInterfaceMethods<Binary>]> {
     let summary = "Subtract a clear integer from an encrypted integer";
 
     let description = [{
@@ -182,7 +182,7 @@ def FHE_SubEintIntOp : FHE_Op<"sub_eint_int", [Pure, BinaryEintInt, DeclareOpInt
     let hasFolder = 1;
 }
 
-def FHE_SubEintOp : FHE_Op<"sub_eint", [Pure, BinaryEint, DeclareOpInterfaceMethods<BinaryEint>]> {
+def FHE_SubEintOp : FHE_Op<"sub_eint", [Pure, BinaryEint, AdditiveNoise, DeclareOpInterfaceMethods<BinaryEint>]> {
     let summary = "Subtract an encrypted integer from an encrypted integer";
 
     let description = [{
@@ -214,7 +214,7 @@ def FHE_SubEintOp : FHE_Op<"sub_eint", [Pure, BinaryEint, DeclareOpInterfaceMeth
     let hasVerifier = 1;
 }
 
-def FHE_NegEintOp : FHE_Op<"neg_eint", [Pure, UnaryEint, DeclareOpInterfaceMethods<UnaryEint>]> {
+def FHE_NegEintOp : FHE_Op<"neg_eint", [Pure, UnaryEint, AdditiveNoise, DeclareOpInterfaceMethods<UnaryEint>]> {
 
     let summary = "Negates an encrypted integer";
 
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Dialect/FHE/Interfaces/FHEInterfaces.td b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/FHE/Interfaces/FHEInterfaces.td
index dc9f53122..e60be26b8 100644
--- a/compilers/concrete-compiler/compiler/include/concretelang/Dialect/FHE/Interfaces/FHEInterfaces.td
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/FHE/Interfaces/FHEInterfaces.td
@@ -37,6 +37,22 @@ def ConstantNoise : OpInterface<"ConstantNoise"> {
     let cppNamespace = "mlir::concretelang::FHE";
 }
 
+def ZeroNoise : OpInterface<"ZeroNoise"> {
+    let description = [{
+        An operation outputs a ciphertext with zero noise.
+    }];
+
+    let cppNamespace = "mlir::concretelang::FHE";
+}
+
+def AdditiveNoise : OpInterface<"AdditiveNoise"> {
+    let description = [{
+        An n-ary operation whose output noise is the unweighted sum of all input noises.
+    }];
+
+    let cppNamespace = "mlir::concretelang::FHE";
+}
+
 def UnaryEint : OpInterface<"UnaryEint"> {
     let description = [{
         A unary operation on scalars, with the operand encrypted.
@@ -63,7 +79,7 @@ def UnaryEint : OpInterface<"UnaryEint"> {
           if (auto operandTy = dyn_cast<mlir::RankedTensorType>($_op->getOpOperand(0).get().getType())) {
             return operandTy.getElementType();
           } else return $_op->getOpOperand(0).get().getType();
-        }]>        
+        }]>
     ];
 }
 
@@ -124,8 +140,8 @@ def Binary : OpInterface<"Binary"> {
           if (auto cstOp = llvm::dyn_cast_or_null<mlir::arith::ConstantOp>($_op->
                                                         getOpOperand(opNum).get().getDefiningOp()))
             return cstOp->template getAttrOfType<mlir::DenseIntElementsAttr>("value").template getValues<llvm::APInt>();
-          else return {};        
-        }]>,        
+          else return {};
+        }]>,
     ];
 }
 
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/CMakeLists.txt b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/CMakeLists.txt
index 7927b605a..fa8842fb0 100644
--- a/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/CMakeLists.txt
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/CMakeLists.txt
@@ -1,2 +1,3 @@
 add_subdirectory(Interfaces)
 add_subdirectory(IR)
+add_subdirectory(Transforms)
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/Transforms/CMakeLists.txt b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/Transforms/CMakeLists.txt
new file mode 100644
index 000000000..30c52b581
--- /dev/null
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/Transforms/CMakeLists.txt
@@ -0,0 +1,3 @@
+set(LLVM_TARGET_DEFINITIONS Passes.td)
+mlir_tablegen(Passes.h.inc -gen-pass-decls -name Transforms)
+add_public_tablegen_target(ConcretelangSDFGTransformsPassIncGen)
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/Transforms/Passes.h b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/Transforms/Passes.h
new file mode 100644
index 000000000..d0f02f484
--- /dev/null
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/Transforms/Passes.h
@@ -0,0 +1,26 @@
+// Part of the Concrete Compiler Project, under the BSD3 License with Zama
+// Exceptions. See
+// https://github.com/zama-ai/concrete/blob/main/LICENSE.txt
+// for license information.
+
+#ifndef CONCRETELANG_SDFG_TRANSFORMS_PASS_H
+#define CONCRETELANG_SDFG_TRANSFORMS_PASS_H
+
+#include <mlir/Dialect/Func/IR/FuncOps.h>
+#include <mlir/Dialect/Linalg/IR/Linalg.h>
+#include <mlir/Dialect/MemRef/IR/MemRef.h>
+#include <mlir/Dialect/SCF/IR/SCF.h>
+#include <mlir/Pass/Pass.h>
+
+#define GEN_PASS_CLASSES
+#include <concretelang/Dialect/SDFG/Transforms/Passes.h.inc>
+
+namespace mlir {
+namespace concretelang {
+
+std::unique_ptr<mlir::Pass> createSDFGBufferOwnershipPass();
+
+} // namespace concretelang
+} // namespace mlir
+
+#endif
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/Transforms/Passes.td b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/Transforms/Passes.td
new file mode 100644
index 000000000..1d65b449f
--- /dev/null
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Dialect/SDFG/Transforms/Passes.td
@@ -0,0 +1,17 @@
+#ifndef CONCRETELANG_SDFG_PASSES
+#define CONCRETELANG_SDFG_PASSES
+
+include "mlir/Pass/PassBase.td"
+
+def SDFGBufferOwnership : Pass<"SDFGBufferOwnership", "mlir::ModuleOp"> {
+  let summary =
+      "Take ownership of data passed to SDFG operators.";
+
+  let description = [{ As data used in SDFG operators, in particular
+  PUT operations, can be used asynchronously, deallocation must be
+  handled by the runtime if we take ownership.  This pass removes
+  explicit deallocation calls where no other uses of the data exist
+  and makes copies otherwise, letting the runtime handle
+  deallocation when appropriate.}]; }
+
+#endif
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/DFRuntime.hpp b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/DFRuntime.hpp
index 92b8f3a62..61f0c608f 100644
--- a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/DFRuntime.hpp
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/DFRuntime.hpp
@@ -25,6 +25,8 @@ bool _dfr_is_jit();
 bool _dfr_is_root_node();
 bool _dfr_use_omp();
 bool _dfr_is_distributed();
+void _dfr_run_remote_scheduler();
+void _dfr_register_lib(void *dlh);
 
 typedef enum _dfr_task_arg_type {
   _DFR_TASK_ARG_BASE = 0,
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/GPUDFG.hpp b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/GPUDFG.hpp
new file mode 100644
index 000000000..db51c860a
--- /dev/null
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/GPUDFG.hpp
@@ -0,0 +1,28 @@
+// Part of the Concrete Compiler Project, under the BSD3 License with Zama
+// Exceptions. See
+// https://github.com/zama-ai/concrete/blob/main/LICENSE.txt
+// for license information.
+
+#ifndef CONCRETELANG_GPUDFG_HPP
+#define CONCRETELANG_GPUDFG_HPP
+
+#ifdef CONCRETELANG_CUDA_SUPPORT
+#include "bootstrap.h"
+#include "device.h"
+#include "keyswitch.h"
+#include "linear_algebra.h"
+
+#endif
+
+namespace mlir {
+namespace concretelang {
+namespace gpu_dfg {
+
+bool check_cuda_device_available();
+bool check_cuda_runtime_enabled();
+
+} // namespace gpu_dfg
+} // namespace concretelang
+} // namespace mlir
+
+#endif
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/key_manager.hpp b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/key_manager.hpp
index a17a0f21e..1bee82c5b 100644
--- a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/key_manager.hpp
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/key_manager.hpp
@@ -109,10 +109,8 @@ struct RuntimeContextManager {
   bool allocated = false;
   bool lazy_key_transfer = false;
 
-  RuntimeContextManager(bool lazy = false) : lazy_key_transfer(lazy) {
-    context = nullptr;
-    _dfr_node_level_runtime_context_manager = this;
-  }
+  RuntimeContextManager(bool lazy = false)
+      : context(nullptr), lazy_key_transfer(lazy) {}
 
   void setContext(void *ctx) {
     assert(context == nullptr &&
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/stream_emulator_api.h b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/stream_emulator_api.h
index 90f8fd244..795bdc33b 100644
--- a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/stream_emulator_api.h
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/stream_emulator_api.h
@@ -83,7 +83,8 @@ uint64_t stream_emulator_get_uint64(void *stream);
 void *stream_emulator_make_memref_stream(const char *name, stream_type stype);
 void stream_emulator_put_memref(void *stream, uint64_t *allocated,
                                 uint64_t *aligned, uint64_t offset,
-                                uint64_t size, uint64_t stride);
+                                uint64_t size, uint64_t stride,
+                                uint64_t data_ownership);
 void stream_emulator_get_memref(void *stream, uint64_t *out_allocated,
                                 uint64_t *out_aligned, uint64_t out_offset,
                                 uint64_t out_size, uint64_t out_stride);
@@ -93,7 +94,8 @@ void *stream_emulator_make_memref_batch_stream(const char *name,
 void stream_emulator_put_memref_batch(void *stream, uint64_t *allocated,
                                       uint64_t *aligned, uint64_t offset,
                                       uint64_t size0, uint64_t size1,
-                                      uint64_t stride0, uint64_t stride1);
+                                      uint64_t stride0, uint64_t stride1,
+                                      uint64_t data_ownership);
 void stream_emulator_get_memref_batch(void *stream, uint64_t *out_allocated,
                                       uint64_t *out_aligned,
                                       uint64_t out_offset, uint64_t out_size0,
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/time_util.h b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/time_util.h
index 0a2ca928b..ffb095fb7 100644
--- a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/time_util.h
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/time_util.h
@@ -10,40 +10,156 @@
 
 #include <assert.h>
 #include <iostream>
+#include <stdlib.h>
+#include <string.h>
 #include <time.h>
 
 #include "concretelang/Runtime/DFRuntime.hpp"
 
 #define TIME_UTIL_CLOCK CLOCK_MONOTONIC
 
+namespace mlir {
+namespace concretelang {
+namespace time_util {
+
+extern bool timing_enabled;
+extern struct timespec timestamp;
+
+} // namespace time_util
+} // namespace concretelang
+} // namespace mlir
+
 static inline int timespec_diff(struct timespec *, const struct timespec *,
                                 const struct timespec *);
 
+#define CONCRETELANG_ENABLE_TIMING()                                           \
+  do {                                                                         \
+    assert(clock_gettime(TIME_UTIL_CLOCK,                                      \
+                         &mlir::concretelang::time_util::timestamp) == 0);     \
+    char *env = getenv("CONCRETE_TIMING_ENABLED");                             \
+    if (env != nullptr)                                                        \
+      if (!strncmp(env, "True", 4) || !strncmp(env, "true", 4) ||              \
+          !strncmp(env, "ON", 2) || !strncmp(env, "on", 2) ||                  \
+          !strncmp(env, "1", 1))                                               \
+        mlir::concretelang::time_util::timing_enabled = true;                  \
+  } while (0)
+
 #define BEGIN_TIME(p)                                                          \
   do {                                                                         \
-    assert(clock_gettime(TIME_UTIL_CLOCK, (p)) == 0);                          \
+    if (mlir::concretelang::time_util::timing_enabled) {                       \
+      assert(clock_gettime(TIME_UTIL_CLOCK, (p)) == 0);                        \
+    }                                                                          \
   } while (0)
 
 #if CONCRETELANG_DATAFLOW_EXECUTION_ENABLED
 #define END_TIME(p, m)                                                         \
   do {                                                                         \
-    struct timespec _end_time_tv;                                              \
-    assert(clock_gettime(TIME_UTIL_CLOCK, &_end_time_tv) == 0);                \
-    assert(timespec_diff((p), &_end_time_tv, (p)) == 0);                       \
-    std::cout << "[NODE \t" << _dfr_debug_get_node_id() << "] \t" << (m)       \
-              << " time : \t" << (p)->tv_sec << "." << (p)->tv_nsec            \
-              << " seconds.\n"                                                 \
-              << std::flush;                                                   \
+    if (mlir::concretelang::time_util::timing_enabled) {                       \
+      struct timespec _end_time_tv;                                            \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_end_time_tv) == 0);              \
+      assert(timespec_diff((p), &_end_time_tv, (p)) == 0);                     \
+      struct timespec _timestamp_tv;                                           \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_timestamp_tv) == 0);             \
+      assert(timespec_diff(&_timestamp_tv, &_timestamp_tv,                     \
+                           &mlir::concretelang::time_util::timestamp) == 0);   \
+      std::cout << "[Timing logs][" << time_in_seconds(&_timestamp_tv)         \
+                << "] -\t";                                                    \
+      std::cout << "[NODE \t" << _dfr_debug_get_node_id() << "] \t" << (m)     \
+                << " time : \t" << time_in_seconds((p)) << " seconds.\n"       \
+                << std::flush;                                                 \
+    }                                                                          \
+  } while (0)
+#define END_TIME_C(p, m, c)                                                    \
+  do {                                                                         \
+    if (mlir::concretelang::time_util::timing_enabled) {                       \
+      struct timespec _end_time_tv;                                            \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_end_time_tv) == 0);              \
+      assert(timespec_diff((p), &_end_time_tv, (p)) == 0);                     \
+      struct timespec _timestamp_tv;                                           \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_timestamp_tv) == 0);             \
+      assert(timespec_diff(&_timestamp_tv, &_timestamp_tv,                     \
+                           &mlir::concretelang::time_util::timestamp) == 0);   \
+      std::cout << "[Timing logs][" << time_in_seconds(&_timestamp_tv)         \
+                << "] -\t";                                                    \
+      std::cout << "[NODE \t" << _dfr_debug_get_node_id() << "] \t" << (m)     \
+                << " [" << (c) << "] time : \t" << time_in_seconds((p))        \
+                << " seconds.\n"                                               \
+                << std::flush;                                                 \
+    }                                                                          \
+  } while (0)
+#define END_TIME_C_ACC(p, m, c, acc)                                           \
+  do {                                                                         \
+    if (mlir::concretelang::time_util::timing_enabled) {                       \
+      struct timespec _end_time_tv;                                            \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_end_time_tv) == 0);              \
+      assert(timespec_diff((p), &_end_time_tv, (p)) == 0);                     \
+      timespec_acc((acc), (p), (acc));                                         \
+      struct timespec _timestamp_tv;                                           \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_timestamp_tv) == 0);             \
+      assert(timespec_diff(&_timestamp_tv, &_timestamp_tv,                     \
+                           &mlir::concretelang::time_util::timestamp) == 0);   \
+      std::cout << "[Timing logs][" << time_in_seconds(&_timestamp_tv)         \
+                << "] -\t";                                                    \
+      std::cout << "[NODE \t" << _dfr_debug_get_node_id() << "] \t" << (m)     \
+                << " [" << (c) << "] time : \t" << time_in_seconds((p))        \
+                << " (total : " << time_in_seconds((acc)) << " )"              \
+                << " seconds.\n"                                               \
+                << std::flush;                                                 \
+    }                                                                          \
   } while (0)
 #else
 #define END_TIME(p, m)                                                         \
   do {                                                                         \
-    struct timespec _end_time_tv;                                              \
-    assert(clock_gettime(TIME_UTIL_CLOCK, &_end_time_tv) == 0);                \
-    assert(timespec_diff((p), &_end_time_tv, (p)) == 0);                       \
-    std::cout << (m) << " time : \t" << (p)->tv_sec << "." << (p)->tv_nsec     \
-              << " seconds.\n"                                                 \
-              << std::flush;                                                   \
+    if (mlir::concretelang::time_util::timing_enabled) {                       \
+      struct timespec _end_time_tv;                                            \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_end_time_tv) == 0);              \
+      assert(timespec_diff((p), &_end_time_tv, (p)) == 0);                     \
+      struct timespec _timestamp_tv;                                           \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_timestamp_tv) == 0);             \
+      assert(timespec_diff(&_timestamp_tv, &_timestamp_tv,                     \
+                           &mlir::concretelang::time_util::timestamp) == 0);   \
+      std::cout << "[Timing logs][" << time_in_seconds(&_timestamp_tv)         \
+                << "] -\t";                                                    \
+      std::cout << (m) << " time : \t" << time_in_seconds((p))                 \
+                << " seconds.\n"                                               \
+                << std::flush;                                                 \
+    }                                                                          \
+  } while (0)
+#define END_TIME_C(p, m, c)                                                    \
+  do {                                                                         \
+    if (mlir::concretelang::time_util::timing_enabled) {                       \
+      struct timespec _end_time_tv;                                            \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_end_time_tv) == 0);              \
+      assert(timespec_diff((p), &_end_time_tv, (p)) == 0);                     \
+      struct timespec _timestamp_tv;                                           \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_timestamp_tv) == 0);             \
+      assert(timespec_diff(&_timestamp_tv, &_timestamp_tv,                     \
+                           &mlir::concretelang::time_util::timestamp) == 0);   \
+      std::cout << "[Timing logs][" << time_in_seconds(&_timestamp_tv)         \
+                << "] -\t";                                                    \
+      std::cout << (m) << " [" << (c) << "] time : \t" << time_in_seconds((p)) \
+                << " seconds.\n"                                               \
+                << std::flush;                                                 \
+    }                                                                          \
+  } while (0)
+#define END_TIME_C_ACC(p, m, c, acc)                                           \
+  do {                                                                         \
+    if (mlir::concretelang::time_util::timing_enabled) {                       \
+      struct timespec _end_time_tv;                                            \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_end_time_tv) == 0);              \
+      assert(timespec_diff((p), &_end_time_tv, (p)) == 0);                     \
+      timespec_acc((acc), (p), (acc));                                         \
+      struct timespec _timestamp_tv;                                           \
+      assert(clock_gettime(TIME_UTIL_CLOCK, &_timestamp_tv) == 0);             \
+      assert(timespec_diff(&_timestamp_tv, &_timestamp_tv,                     \
+                           &mlir::concretelang::time_util::timestamp) == 0);   \
+      std::cout << "[Timing logs][" << time_in_seconds(&_timestamp_tv)         \
+                << "] -\t";                                                    \
+      std::cout << (m) << " [" << (c) << "] time : \t" << time_in_seconds((p)) \
+                << " (total : " << time_in_seconds((acc)) << " )"              \
+                << " seconds.\n"                                               \
+                << std::flush;                                                 \
+    }                                                                          \
   } while (0)
 #endif
 
@@ -57,6 +173,13 @@ static inline double get_thread_cpu_time(void) {
   return _t;
 }
 
+static inline double time_in_seconds(struct timespec *_tv) {
+  double _t;
+  _t = _tv->tv_sec;
+  _t += _tv->tv_nsec * 1e-9;
+  return _t;
+}
+
 static inline int timespec_diff(struct timespec *_result,
                                 const struct timespec *_px,
                                 const struct timespec *_py) {
@@ -86,10 +209,23 @@ static inline int timespec_diff(struct timespec *_result,
   return _x.tv_sec < _y.tv_sec;
 }
 
+static inline void timespec_acc(struct timespec *_result,
+                                const struct timespec *_px,
+                                const struct timespec *_py) {
+  struct timespec _x, _y;
+  _x = *_px;
+  _y = *_py;
+  _result->tv_sec = _x.tv_sec + _y.tv_sec;
+  _result->tv_nsec = _x.tv_nsec + _y.tv_nsec;
+}
+
 #else // CONCRETELANG_TIMING_ENABLED
 
+#define CONCRETELANG_ENABLE_TIMING()
 #define BEGIN_TIME(p)
 #define END_TIME(p, m)
+#define END_TIME_C(p, m, c)
+#define END_TIME_C_ACC(p, m, c, acc)
 
 #endif // CONCRETELANG_TIMING_ENABLED
 #endif
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/utils.h b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/utils.h
new file mode 100644
index 000000000..71c1fb39b
--- /dev/null
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/utils.h
@@ -0,0 +1,21 @@
+// Part of the Concrete Compiler Project, under the BSD3 License with Zama
+// Exceptions. See
+// https://github.com/zama-ai/concrete/blob/main/LICENSE.txt
+// for license information.
+
+#ifndef CONCRETELANG_RUNTIME_UTILS_H
+#define CONCRETELANG_RUNTIME_UTILS_H
+
+#include "llvm/Support/TargetSelect.h"
+
+namespace mlir {
+namespace concretelang {
+
+// Mainly a wrapper to some LLVM functions. The reason to have this wrapper is
+// to avoid linking conflicts between the python binary extension, and LLVM.
+void LLVMInitializeNativeTarget();
+
+} // namespace concretelang
+} // namespace mlir
+
+#endif
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/workfunction_registry.hpp b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/workfunction_registry.hpp
index 5283ab3e1..5a879a26c 100644
--- a/compilers/concrete-compiler/compiler/include/concretelang/Runtime/workfunction_registry.hpp
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Runtime/workfunction_registry.hpp
@@ -21,13 +21,11 @@ namespace concretelang {
 namespace dfr {
 
 struct WorkFunctionRegistry;
-namespace {
-static void *dl_handle;
-static WorkFunctionRegistry *_dfr_node_level_work_function_registry;
-} // namespace
+extern WorkFunctionRegistry *_dfr_node_level_work_function_registry;
+extern void *dl_handle;
 
 struct WorkFunctionRegistry {
-  WorkFunctionRegistry() { _dfr_node_level_work_function_registry = this; }
+  WorkFunctionRegistry() = default;
 
   wfnptr getWorkFunctionPointer(const std::string &name) {
     std::lock_guard<std::mutex> guard(registry_guard);
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/Support/CompilerEngine.h b/compilers/concrete-compiler/compiler/include/concretelang/Support/CompilerEngine.h
index ae56ea941..a9fbfcc97 100644
--- a/compilers/concrete-compiler/compiler/include/concretelang/Support/CompilerEngine.h
+++ b/compilers/concrete-compiler/compiler/include/concretelang/Support/CompilerEngine.h
@@ -26,8 +26,6 @@ using concretelang::protocol::Message;
 namespace mlir {
 namespace concretelang {
 
-bool getEmitGPUOption();
-
 /// Compilation context that acts as the root owner of LLVM and MLIR
 /// data structures directly and indirectly referenced by artefacts
 /// produced by the `CompilerEngine`.
diff --git a/compilers/concrete-compiler/compiler/include/concretelang/TestLib/TestProgram.h b/compilers/concrete-compiler/compiler/include/concretelang/TestLib/TestProgram.h
index 070a13759..5e3be1637 100644
--- a/compilers/concrete-compiler/compiler/include/concretelang/TestLib/TestProgram.h
+++ b/compilers/concrete-compiler/compiler/include/concretelang/TestLib/TestProgram.h
@@ -23,6 +23,7 @@
 #include <ostream>
 #include <string>
 #include <thread>
+#include <unistd.h>
 
 using concretelang::clientlib::ClientCircuit;
 using concretelang::clientlib::ClientProgram;
@@ -220,37 +221,32 @@ private:
     auto new_path = [=]() {
       llvm::SmallString<0> outputPath;
       llvm::sys::path::append(outputPath, rootFolder);
-      std::string uid = std::to_string(
-          std::hash<std::thread::id>()(std::this_thread::get_id()));
+      auto pid = getpid();
+      std::string uid = std::to_string(pid);
       uid.append("-");
       uid.append(std::to_string(std::rand()));
       llvm::sys::path::append(outputPath, uid);
       return std::string(outputPath);
     };
 
-    // Macos sometimes fail to create new directories. We have to retry a few
-    // times.
-    for (size_t i = 0; i < 5; i++) {
-      auto pathString = new_path();
-      auto ec = std::error_code();
-      llvm::errs() << "TestProgram: create temporary directory(" << pathString
-                   << ")\n";
-      if (!std::filesystem::create_directory(pathString, ec)) {
-        llvm::errs() << "TestProgram: fail to create temporary directory("
-                     << pathString << "), ";
-        if (ec) {
-          llvm::errs() << "already exists";
-        } else {
-          llvm::errs() << "error(" << ec.message() << ")";
-        }
+    auto pathString = new_path();
+    auto ec = std::error_code();
+    llvm::errs() << "TestProgram: create temporary directory(" << pathString
+                 << ")\n";
+    if (!std::filesystem::create_directory(pathString, ec)) {
+      llvm::errs() << "TestProgram: fail to create temporary directory("
+                   << pathString << "), ";
+      if (ec) {
+        llvm::errs() << "already exists";
       } else {
-        llvm::errs() << "TestProgram: directory(" << pathString
-                     << ") successfully created\n";
-        return pathString;
+        llvm::errs() << "error(" << ec.message() << ")";
       }
+      assert(false);
+    } else {
+      llvm::errs() << "TestProgram: directory(" << pathString
+                   << ") successfully created\n";
+      return pathString;
     }
-    llvm::errs() << "Failed to create temp directory 5 times. Aborting...\n";
-    assert(false);
   }
 };
 
diff --git a/compilers/concrete-compiler/compiler/lib/Bindings/Python/CompilerAPIModule.cpp b/compilers/concrete-compiler/compiler/lib/Bindings/Python/CompilerAPIModule.cpp
index 6d226364b..332e6759f 100644
--- a/compilers/concrete-compiler/compiler/lib/Bindings/Python/CompilerAPIModule.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Bindings/Python/CompilerAPIModule.cpp
@@ -12,6 +12,7 @@
 #include "concretelang/Common/Keysets.h"
 #include "concretelang/Dialect/FHE/IR/FHEOpsDialect.h.inc"
 #include "concretelang/Runtime/DFRuntime.hpp"
+#include "concretelang/Runtime/GPUDFG.hpp"
 #include "concretelang/ServerLib/ServerLib.h"
 #include "concretelang/Support/logging.h"
 #include <llvm/Support/Debug.h>
@@ -462,6 +463,14 @@ void initDataflowParallelization() {
   mlir::concretelang::dfr::_dfr_set_required(true);
 }
 
+bool checkGPURuntimeEnabled() {
+  return mlir::concretelang::gpu_dfg::check_cuda_runtime_enabled();
+}
+
+bool checkCudaDeviceAvailable() {
+  return mlir::concretelang::gpu_dfg::check_cuda_device_available();
+}
+
 std::string roundTrip(const char *module) {
   std::shared_ptr<mlir::concretelang::CompilationContext> ccx =
       mlir::concretelang::CompilationContext::createShared();
@@ -673,6 +682,8 @@ void mlir::concretelang::python::populateCompilerAPISubmodule(
   m.def("terminate_df_parallelization", &terminateDataflowParallelization);
 
   m.def("init_df_parallelization", &initDataflowParallelization);
+  m.def("check_gpu_runtime_enabled", &checkGPURuntimeEnabled);
+  m.def("check_cuda_device_available", &checkCudaDeviceAvailable);
 
   pybind11::enum_<mlir::concretelang::Backend>(m, "Backend")
       .value("CPU", mlir::concretelang::Backend::CPU)
@@ -957,6 +968,7 @@ void mlir::concretelang::python::populateCompilerAPISubmodule(
               ::concretelang::serverlib::ServerLambda lambda,
               ::concretelang::clientlib::PublicArguments &publicArguments,
               ::concretelang::clientlib::EvaluationKeys &evaluationKeys) {
+             pybind11::gil_scoped_release release;
              SignalGuard signalGuard;
              return library_server_call(support, lambda, publicArguments,
                                         evaluationKeys);
@@ -1238,6 +1250,7 @@ void mlir::concretelang::python::populateCompilerAPISubmodule(
               ::concretelang::clientlib::PublicArguments &publicArguments,
               ::concretelang::clientlib::EvaluationKeys &evaluationKeys) {
              SignalGuard signalGuard;
+             pybind11::gil_scoped_release release;
              auto keyset = evaluationKeys.keyset;
              auto values = publicArguments.values;
              GET_OR_THROW_RESULT(auto output, circuit.call(keyset, values));
@@ -1268,6 +1281,7 @@ void mlir::concretelang::python::populateCompilerAPISubmodule(
            [](::concretelang::clientlib::ValueExporter &exporter,
               size_t position, int64_t value) {
              SignalGuard signalGuard;
+             pybind11::gil_scoped_release release;
 
              auto info = exporter.circuit.getCircuitInfo()
                              .asReader()
@@ -1288,6 +1302,7 @@ void mlir::concretelang::python::populateCompilerAPISubmodule(
                                size_t position, std::vector<int64_t> values,
                                std::vector<int64_t> shape) {
         SignalGuard signalGuard;
+        pybind11::gil_scoped_release release;
         std::vector<size_t> dimensions(shape.begin(), shape.end());
         auto info =
             exporter.circuit.getCircuitInfo().asReader().getInputs()[position];
@@ -1363,6 +1378,7 @@ void mlir::concretelang::python::populateCompilerAPISubmodule(
               size_t position,
               ::concretelang::clientlib::SharedScalarOrTensorData &value) {
              SignalGuard signalGuard;
+             pybind11::gil_scoped_release release;
 
              auto result =
                  decrypter.circuit.processOutput(value.value, position);
diff --git a/compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/__init__.py b/compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/__init__.py
index d122706dc..fbd4d631d 100644
--- a/compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/__init__.py
+++ b/compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/__init__.py
@@ -8,6 +8,8 @@ import atexit
 from mlir._mlir_libs._concretelang._compiler import (
     terminate_df_parallelization as _terminate_df_parallelization,
     init_df_parallelization as _init_df_parallelization,
+    check_gpu_runtime_enabled as _check_gpu_runtime_enabled,
+    check_cuda_device_available as _check_cuda_device_available,
 )
 from mlir._mlir_libs._concretelang._compiler import round_trip as _round_trip
 from mlir._mlir_libs._concretelang._compiler import (
@@ -49,6 +51,18 @@ def init_dfr():
     _init_df_parallelization()
 
 
+def check_gpu_enabled() -> bool:
+    """Check whether the compiler and runtime support GPU offloading.
+
+    GPU offloading is not always available, in particular in non-GPU wheels."""
+    return _check_gpu_runtime_enabled()
+
+
+def check_gpu_available() -> bool:
+    """Check whether a CUDA device is available and online."""
+    return _check_cuda_device_available()
+
+
 # Cleanly terminate the dataflow runtime if it has been initialized
 # (does nothing otherwise)
 atexit.register(_terminate_df_parallelization)
diff --git a/compilers/concrete-compiler/compiler/lib/Conversion/SDFGToStreamEmulator/SDFGToStreamEmulator.cpp b/compilers/concrete-compiler/compiler/lib/Conversion/SDFGToStreamEmulator/SDFGToStreamEmulator.cpp
index 925d44f47..33b89bd00 100644
--- a/compilers/concrete-compiler/compiler/lib/Conversion/SDFGToStreamEmulator/SDFGToStreamEmulator.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Conversion/SDFGToStreamEmulator/SDFGToStreamEmulator.cpp
@@ -403,13 +403,19 @@ struct LowerSDFGPut
              "SDFG streams only support memrefs and integers.");
       funcName = stream_emulator_put_uint64;
     }
+    // Add data ownership flag - if the put operation takes ownership
+    // of the memref data, set to 0 by default.
+    mlir::SmallVector<mlir::Value> operands(putOp->getOperands());
+    operands.push_back(rewriter.create<mlir::arith::ConstantOp>(
+        putOp.getLoc(), rewriter.getI64IntegerAttr(0)));
+
     if (insertGenericForwardDeclaration(putOp, rewriter, funcName,
-                                        putOp->getOperandTypes(),
+                                        mlir::ValueRange{operands}.getTypes(),
                                         putOp->getResultTypes())
             .failed())
       return ::mlir::failure();
     mlir::SmallVector<mlir::Value> newOps;
-    castDynamicTensorOps(putOp, rewriter, putOp->getOperands(), newOps);
+    castDynamicTensorOps(putOp, rewriter, operands, newOps);
     rewriter.replaceOpWithNewOp<mlir::func::CallOp>(
         putOp, funcName, putOp->getResultTypes(), newOps);
     return ::mlir::success();
diff --git a/compilers/concrete-compiler/compiler/lib/Conversion/SimulateTFHE/SimulateTFHE.cpp b/compilers/concrete-compiler/compiler/lib/Conversion/SimulateTFHE/SimulateTFHE.cpp
index 8d86fd18d..b17332de1 100644
--- a/compilers/concrete-compiler/compiler/lib/Conversion/SimulateTFHE/SimulateTFHE.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Conversion/SimulateTFHE/SimulateTFHE.cpp
@@ -3,6 +3,7 @@
 // https://github.com/zama-ai/concrete/blob/main/LICENSE.txt
 // for license information.
 
+#include "concretelang/Dialect/Tracing/IR/TracingOps.h"
 #include "mlir/Dialect/Bufferization/IR/Bufferization.h"
 #include "mlir/Pass/Pass.h"
 #include "mlir/Transforms/DialectConversion.h"
@@ -686,6 +687,37 @@ struct ZeroTensorOpPattern
   };
 };
 
+struct TraceCiphertextOpPattern
+    : public mlir::OpConversionPattern<Tracing::TraceCiphertextOp> {
+  TraceCiphertextOpPattern(mlir::MLIRContext *context,
+                           mlir::TypeConverter &typeConverter)
+      : mlir::OpConversionPattern<Tracing::TraceCiphertextOp>(
+            typeConverter, context,
+            mlir::concretelang::DEFAULT_PATTERN_BENEFIT) {}
+
+  ::mlir::LogicalResult
+  matchAndRewrite(Tracing::TraceCiphertextOp traceCiphertextOp,
+                  Tracing::TraceCiphertextOp::Adaptor adaptor,
+                  mlir::ConversionPatternRewriter &rewriter) const override {
+    Tracing::TracePlaintextOp ptOp =
+        rewriter.replaceOpWithNewOp<Tracing::TracePlaintextOp>(
+            traceCiphertextOp, mlir::TypeRange{}, adaptor.getCiphertext());
+
+    if (auto msg = traceCiphertextOp.getMsg())
+      ptOp.setMsg(msg);
+
+    if (auto nmsb = traceCiphertextOp.getNmsb())
+      ptOp.setNmsb(nmsb);
+
+    auto inputWidth =
+        ptOp.getPlaintext().getType().cast<mlir::IntegerType>().getWidth();
+
+    ptOp->setAttr("input_width", rewriter.getI64IntegerAttr(inputWidth));
+
+    return ::mlir::success();
+  };
+};
+
 struct SimulateTFHEPass : public SimulateTFHEBase<SimulateTFHEPass> {
   bool enableOverflowDetection;
   SimulateTFHEPass(bool enableOverflowDetection)
@@ -704,7 +736,8 @@ void SimulateTFHEPass::runOnOperation() {
   target.addLegalOp<mlir::func::CallOp, mlir::memref::GetGlobalOp,
                     mlir::memref::CastOp, mlir::bufferization::AllocTensorOp,
                     mlir::tensor::CastOp, mlir::LLVM::GlobalOp,
-                    mlir::LLVM::AddressOfOp, mlir::LLVM::GEPOp>();
+                    mlir::LLVM::AddressOfOp, mlir::LLVM::GEPOp,
+                    Tracing::TracePlaintextOp>();
   // Make sure that no ops from `TFHE` remain after the lowering
   target.addIllegalDialect<TFHE::TFHEDialect>();
 
@@ -742,11 +775,11 @@ void SimulateTFHEPass::runOnOperation() {
       mlir::tensor::InsertOp, mlir::tensor::InsertSliceOp,
       mlir::tensor::ParallelInsertSliceOp, mlir::tensor::FromElementsOp,
       mlir::tensor::ExpandShapeOp, mlir::tensor::CollapseShapeOp,
-      mlir::bufferization::AllocTensorOp, mlir::tensor::EmptyOp>(
-      [&](mlir::Operation *op) {
-        return converter.isLegal(op->getResultTypes()) &&
-               converter.isLegal(op->getOperandTypes());
-      });
+      mlir::bufferization::AllocTensorOp, mlir::tensor::EmptyOp,
+      Tracing::TraceCiphertextOp>([&](mlir::Operation *op) {
+    return converter.isLegal(op->getResultTypes()) &&
+           converter.isLegal(op->getOperandTypes());
+  });
   // Make sure that no ops `linalg.generic` that have illegal types
   target
       .addDynamicallyLegalOp<mlir::linalg::GenericOp, mlir::tensor::GenerateOp>(
@@ -778,8 +811,8 @@ void SimulateTFHEPass::runOnOperation() {
 
   patterns.insert<ZeroOpPattern, ZeroTensorOpPattern, KeySwitchGLWEOpPattern,
                   WopPBSGLWEOpPattern, EncodeLutForCrtWopPBSOpPattern,
-                  EncodePlaintextWithCrtOpPattern, NegOpPattern>(&getContext(),
-                                                                 converter);
+                  EncodePlaintextWithCrtOpPattern, NegOpPattern,
+                  TraceCiphertextOpPattern>(&getContext(), converter);
   patterns.insert<SubIntGLWEOpPattern>(&getContext());
 
   // if overflow detection is enable, then rewrite to CAPI functions that
diff --git a/compilers/concrete-compiler/compiler/lib/Dialect/FHE/Analysis/ConcreteOptimizer.cpp b/compilers/concrete-compiler/compiler/lib/Dialect/FHE/Analysis/ConcreteOptimizer.cpp
index 82313a5af..ca3cce240 100644
--- a/compilers/concrete-compiler/compiler/lib/Dialect/FHE/Analysis/ConcreteOptimizer.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Dialect/FHE/Analysis/ConcreteOptimizer.cpp
@@ -6,11 +6,13 @@
 #include <chrono>
 #include <cmath>
 #include <initializer_list>
+#include <iostream>
 #include <optional>
 #include <vector>
 
 #include "boost/outcome.h"
 
+#include "concretelang/Dialect/FHE/Interfaces/FHEInterfaces.h"
 #include "mlir/Dialect/Arith/IR/Arith.h"
 #include "mlir/Dialect/Func/IR/FuncOps.h"
 #include "mlir/Dialect/Linalg/IR/Linalg.h"
@@ -34,6 +36,9 @@
 #define GEN_PASS_CLASSES
 #include "concretelang/Dialect/FHE/Analysis/ConcreteOptimizer.h.inc"
 
+using concrete_optimizer::utils::location_from_string;
+using concrete_optimizer::utils::location_unknown;
+
 namespace mlir {
 namespace concretelang {
 namespace optimizer {
@@ -110,7 +115,9 @@ struct FunctionToDag {
     }
     auto precision = fhe::utils::getEintPrecision(arg);
     auto shape = getShape(arg);
-    auto opI = dagBuilder.add_input(precision, slice(shape));
+    auto opI =
+        dagBuilder.add_input(precision, slice(shape),
+                             *loc_to_location(arg.getParentRegion()->getLoc()));
     index[arg] = opI;
     return opI;
   }
@@ -190,6 +197,11 @@ struct FunctionToDag {
     } else if (auto matmulEintEint = asMatmulEintEint(op)) {
       addEncMatMulTensor(matmulEintEint, encrypted_inputs, precision);
       return;
+    } else if (auto zero = asZeroNoise(op)) {
+      // special case as zero are rewritten in several optimizer nodes
+      index = addZeroNoise(zero);
+    } else if (auto additive = asAdditiveNoise(op)) {
+      index = addAdditiveNoise(additive, encrypted_inputs);
     } else {
       index = addLevelledOp(op, encrypted_inputs);
     }
@@ -201,6 +213,7 @@ struct FunctionToDag {
   void addLut(mlir::Operation &op, FHE::FheIntegerInterface inputType,
               Inputs &encrypted_inputs, int precision) {
     auto val = op.getResult(0);
+    auto loc = loc_to_location(op.getLoc());
     assert(encrypted_inputs.size() == 1);
     // No need to distinguish different lut kind until we do approximate
     // paradigm on outputs
@@ -209,13 +222,14 @@ struct FunctionToDag {
     std::vector<int32_t> operatorIndexes;
     if (inputType.isSigned()) {
       // std::vector<std::int64_t> weights_vector{1};
-      auto addIndex = dagBuilder.add_dot(
-          slice(encrypted_inputs), concrete_optimizer::weights::number(1));
+      auto addIndex =
+          dagBuilder.add_dot(slice(encrypted_inputs),
+                             concrete_optimizer::weights::number(1), *loc);
       encrypted_input = addIndex;
       operatorIndexes.push_back(addIndex.index);
     }
-    auto lutIndex =
-        dagBuilder.add_lut(encrypted_input, slice(unknowFunction), precision);
+    auto lutIndex = dagBuilder.add_lut(encrypted_input, slice(unknowFunction),
+                                       precision, *loc);
     operatorIndexes.push_back(lutIndex.index);
     mlir::Builder builder(op.getContext());
     if (setOptimizerID)
@@ -229,7 +243,8 @@ struct FunctionToDag {
     // No need to distinguish different lut kind until we do approximate
     // paradigm on outputs
     auto encrypted_input = encrypted_inputs[0];
-    index[val] = dagBuilder.add_round_op(encrypted_input, rounded_precision);
+    index[val] = dagBuilder.add_round_op(encrypted_input, rounded_precision,
+                                         *loc_to_location(val.getLoc()));
     return index[val];
   }
 
@@ -238,7 +253,8 @@ struct FunctionToDag {
                           int new_precision) {
     assert(encrypted_inputs.size() == 1);
     auto encrypted_input = encrypted_inputs[0];
-    index[val] = dagBuilder.add_unsafe_cast_op(encrypted_input, new_precision);
+    index[val] = dagBuilder.add_unsafe_cast_op(encrypted_input, new_precision,
+                                               *loc_to_location(val.getLoc()));
     return index[val];
   }
 
@@ -247,8 +263,8 @@ struct FunctionToDag {
          std::vector<std::int64_t> &weights_vector) {
     assert(encrypted_inputs.size() == 1);
     auto weights = concrete_optimizer::weights::vector(slice(weights_vector));
-    index[val] =
-        dagBuilder.add_dot(slice(encrypted_inputs), std::move(weights));
+    index[val] = dagBuilder.add_dot(slice(encrypted_inputs), std::move(weights),
+                                    *loc_to_location(val.getLoc()));
     return index[val];
   }
 
@@ -256,32 +272,110 @@ struct FunctionToDag {
     std::string loc;
     llvm::raw_string_ostream loc_stream(loc);
     location.print(loc_stream);
+    loc.erase(0, 4); // erase the loc( prefix
+    loc.pop_back();  // erase the ) postfix
+    loc.erase(std::remove(loc.begin(), loc.end(), '"'),
+              loc.end()); // erase the " characters
     return loc;
   }
 
+  concrete_optimizer::dag::OperatorIndex
+  addZeroNoise(concretelang::FHE::ZeroNoise &op) {
+    auto val = op->getOpResult(0);
+    auto outShape = getShape(val);
+    auto loc = loc_to_location(op.getLoc());
+
+    // Trivial encrypted constants encoding
+    // There are converted to input + levelledop
+    auto precision = fhe::utils::getEintPrecision(val);
+    auto opI = dagBuilder.add_input(precision, slice(outShape), *loc);
+    auto inputs = Inputs{opI};
+
+    // Default complexity is negligible
+    double const fixedCost = NEGLIGIBLE_COMPLEXITY;
+    double const lweDimCostFactor = NEGLIGIBLE_COMPLEXITY;
+    auto comment = std::string(op->getName().getStringRef()) + " " +
+                   loc_to_string(op.getLoc());
+    auto weights = std::vector<double>{1.};
+    index[val] = dagBuilder.add_levelled_op(slice(inputs), lweDimCostFactor,
+                                            fixedCost, slice(weights),
+                                            slice(outShape), comment, *loc);
+    return index[val];
+  }
+
+  concrete_optimizer::dag::OperatorIndex
+  addAdditiveNoise(concretelang::FHE::AdditiveNoise &op, Inputs &inputs) {
+    auto val = op->getResult(0);
+    auto out_shape = getShape(val);
+    // Default complexity is negligible
+    double fixed_cost = NEGLIGIBLE_COMPLEXITY;
+    double lwe_dim_cost_factor = NEGLIGIBLE_COMPLEXITY;
+    auto comment = std::string(op->getName().getStringRef()) + " " +
+                   loc_to_string(op.getLoc());
+    auto loc = loc_to_location(op.getLoc());
+    auto weights = std::vector<double>(inputs.size(), 1.);
+    index[val] = dagBuilder.add_levelled_op(slice(inputs), lwe_dim_cost_factor,
+                                            fixed_cost, slice(weights),
+                                            slice(out_shape), comment, *loc);
+    return index[val];
+  }
+
+  rust::Box<concrete_optimizer::Location>
+  loc_to_location(mlir::Location location) {
+    return location_from_string(loc_to_string(location));
+  }
   concrete_optimizer::dag::OperatorIndex addLevelledOp(mlir::Operation &op,
                                                        Inputs &inputs) {
     auto val = op.getResult(0);
     auto out_shape = getShape(val);
+    auto loc = loc_to_location(op.getLoc());
     if (inputs.empty()) {
       // Trivial encrypted constants encoding
       // There are converted to input + levelledop
       auto precision = fhe::utils::getEintPrecision(val);
-      auto opI = dagBuilder.add_input(precision, slice(out_shape));
+      auto opI = dagBuilder.add_input(precision, slice(out_shape), *loc);
       inputs.push_back(opI);
     }
     // Default complexity is negligible
     double fixed_cost = NEGLIGIBLE_COMPLEXITY;
     double lwe_dim_cost_factor = NEGLIGIBLE_COMPLEXITY;
     auto smanp_int = op.getAttrOfType<mlir::IntegerAttr>("SMANP");
-    auto loc = loc_to_string(op.getLoc());
     assert(smanp_int && "Missing manp value on a crypto operation");
-    // TODO: use APIFloat.sqrt when it's available
-    double manp = sqrt(smanp_int.getValue().roundToDouble());
-    auto comment = std::string(op.getName().getStringRef()) + " " + loc;
-    index[val] =
-        dagBuilder.add_levelled_op(slice(inputs), lwe_dim_cost_factor,
-                                   fixed_cost, manp, slice(out_shape), comment);
+    auto comment = std::string(op.getName().getStringRef()) + " " +
+                   loc_to_string(op.getLoc());
+
+    size_t n_inputs = 0;
+    double sq_sum = 0;
+    for (auto input : op.getOperands()) {
+      if (!fhe::utils::isEncryptedValue(input)) {
+        continue;
+      }
+      n_inputs += 1;
+      if (input.isa<mlir::BlockArgument>()) {
+        sq_sum += 1.0;
+      } else {
+        auto inpSmanpInt =
+            input.getDefiningOp()->getAttrOfType<mlir::IntegerAttr>("SMANP");
+        const double inpSManp = inpSmanpInt.getValue().roundToDouble();
+        sq_sum += inpSManp;
+      }
+    }
+    assert(inputs.size() == n_inputs);
+    double weight;
+    if (sq_sum == 0) {
+      // The max input manp is zero, meaning the inputs are all zero tensors
+      // with no noise. In this case it does not matter the weight since it will
+      // multiply zero.
+      weight = 1.;
+    } else {
+      double smanp_dbl = smanp_int.getValue().roundToDouble();
+      weight = std::max(sqrt(smanp_dbl / sq_sum), 1.0);
+      assert(!std::isnan(weight));
+    }
+    auto weights = std::vector<double>(n_inputs, weight);
+    index[val] = dagBuilder.add_levelled_op(slice(inputs), lwe_dim_cost_factor,
+                                            fixed_cost, slice(weights),
+                                            slice(out_shape), comment, *loc);
     return index[val];
   }
 
@@ -297,17 +391,19 @@ struct FunctionToDag {
     assert(encrypted_inputs.size() == 1);
     auto input = lsbOp.getInput();
     auto result = lsbOp.getResult();
+    auto loc = loc_to_location(lsbOp.getLoc());
     auto input_precision = fhe::utils::getEintPrecision(input);
     auto output_precision = fhe::utils::getEintPrecision(result);
     auto lsb_shiffted_as_1bit_wop = dagBuilder.add_dot(
         slice(encrypted_inputs),
-        concrete_optimizer::weights::number(1 << input_precision));
+        concrete_optimizer::weights::number(1 << input_precision), *loc);
     std::vector<std::uint64_t> unknownFunction;
     auto overflow_bit_precision = 0;
-    auto lsb_as_0_bits = dagBuilder.add_unsafe_cast_op(
-        lsb_shiffted_as_1bit_wop, overflow_bit_precision); // id for rotation
+    auto lsb_as_0_bits = dagBuilder.add_unsafe_cast_op(lsb_shiffted_as_1bit_wop,
+                                                       overflow_bit_precision,
+                                                       *loc); // id for rotation
     auto lsb_result = dagBuilder.add_lut(lsb_as_0_bits, slice(unknownFunction),
-                                         output_precision);
+                                         output_precision, *loc);
     auto lsb_result_corrected = idPlaceholder(lsb_result);
     index[result] = lsb_result_corrected;
 
@@ -336,46 +432,23 @@ struct FunctionToDag {
     mlir::Value result = mulOp.getResult();
     const std::vector<uint64_t> resultShape = getShape(result);
 
-    Operation *xOp = mulOp.getLhs().getDefiningOp();
-    Operation *yOp = mulOp.getRhs().getDefiningOp();
-
     const double fixedCost = NEGLIGIBLE_COMPLEXITY;
     const double lweDimCostFactor = NEGLIGIBLE_COMPLEXITY;
 
-    llvm::APInt xSmanp = llvm::APInt{1, 1, false};
-    if (xOp != nullptr) {
-      const auto xSmanpAttr = xOp->getAttrOfType<mlir::IntegerAttr>("SMANP");
-      assert(xSmanpAttr && "Missing SMANP value on a crypto operation");
-      xSmanp = xSmanpAttr.getValue();
-    }
-
-    llvm::APInt ySmanp = llvm::APInt{1, 1, false};
-    if (yOp != nullptr) {
-      const auto ySmanpAttr = yOp->getAttrOfType<mlir::IntegerAttr>("SMANP");
-      assert(ySmanpAttr && "Missing SMANP value on a crypto operation");
-      ySmanp = ySmanpAttr.getValue();
-    }
-
-    auto loc = loc_to_string(mulOp.getLoc());
-    auto comment = std::string(mulOp->getName().getStringRef()) + " " + loc;
-
-    // (x + y) and (x - y)
-    const double addSubManp =
-        sqrt(xSmanp.roundToDouble() + ySmanp.roundToDouble());
-
-    // tlu(v)
-    const double tluManp = 1;
-
-    // tlu(v1) - tlu(v2)
-    const double tluSubManp = sqrt(tluManp + tluManp);
+    auto comment = std::string(mulOp->getName().getStringRef()) + " " +
+                   loc_to_string(mulOp.getLoc());
+    auto loc = loc_to_location(mulOp.getLoc());
 
     // for tlus
     const std::vector<std::uint64_t> unknownFunction;
 
     // tlu(x + y)
-    auto addNode =
-        dagBuilder.add_levelled_op(slice(inputs), lweDimCostFactor, fixedCost,
-                                   addSubManp, slice(resultShape), comment);
+
+    auto addWeights = std::vector<double>{1, 1};
+    auto addNode = dagBuilder.add_levelled_op(
+        slice(inputs), lweDimCostFactor, fixedCost, slice(addWeights),
+        slice(resultShape), comment, *loc);
+
     std::optional<concrete_optimizer::dag::OperatorIndex> lhsCorrectionNode;
     if (isSignedEint(mulOp.getType())) {
       // If signed mul we need to add the addition node for correction of the
@@ -383,31 +456,37 @@ struct FunctionToDag {
       addNode = dagBuilder.add_dot(
           slice(std::vector<concrete_optimizer::dag::OperatorIndex>{addNode}),
           concrete_optimizer::weights::vector(
-              slice(std::vector<std::int64_t>{1})));
+              slice(std::vector<std::int64_t>{1})),
+          *loc);
       lhsCorrectionNode = addNode;
     }
     auto lhsTluNode =
-        dagBuilder.add_lut(addNode, slice(unknownFunction), precision);
+        dagBuilder.add_lut(addNode, slice(unknownFunction), precision, *loc);
 
     // tlu(x - y)
-    auto subNode =
-        dagBuilder.add_levelled_op(slice(inputs), lweDimCostFactor, fixedCost,
-                                   addSubManp, slice(resultShape), comment);
+    auto subWeights = std::vector<double>{1, 1};
+    auto subNode = dagBuilder.add_levelled_op(
+        slice(inputs), lweDimCostFactor, fixedCost, slice(subWeights),
+        slice(resultShape), comment, *loc);
+
     // This is a signed tlu so we need to also add the addition for correction
     // signed tlu
     auto rhsCorrectionNode = dagBuilder.add_dot(
         slice(std::vector<concrete_optimizer::dag::OperatorIndex>{subNode}),
         concrete_optimizer::weights::vector(
-            slice(std::vector<std::int64_t>{1})));
-    auto rhsTluNode = dagBuilder.add_lut(rhsCorrectionNode,
-                                         slice(unknownFunction), precision);
+            slice(std::vector<std::int64_t>{1})),
+        *loc);
+    auto rhsTluNode = dagBuilder.add_lut(
+        rhsCorrectionNode, slice(unknownFunction), precision, *loc);
 
     // tlu(x + y) - tlu(x - y)
+    auto resultWeights = std::vector<double>{1, 1};
     const std::vector<concrete_optimizer::dag::OperatorIndex> subInputs = {
         lhsTluNode, rhsTluNode};
     auto resultNode = dagBuilder.add_levelled_op(
-        slice(subInputs), lweDimCostFactor, fixedCost, tluSubManp,
-        slice(resultShape), comment);
+        slice(subInputs), lweDimCostFactor, fixedCost, slice(resultWeights),
+        slice(resultShape), comment, *loc);
+
     index[result] = resultNode;
 
     mlir::Builder builder(mulOp.getContext());
@@ -430,6 +509,7 @@ struct FunctionToDag {
   addTensorInnerProductEncEnc(InnerProductOp &innerProductOp, Inputs &inputs,
                               int precision) {
     mlir::Value result = innerProductOp.getResult();
+    auto loc = loc_to_location(innerProductOp.getLoc());
     const std::vector<uint64_t> resultShape = getShape(result);
 
     // We assume a first tensorized matmul step
@@ -512,34 +592,11 @@ struct FunctionToDag {
 
     // 1. (x + y) and (x - y) -> supposing broadcasting is used
     // to tensorize this operation
-
-    Operation *xOp = innerProductOp.getLhs().getDefiningOp();
-    Operation *yOp = innerProductOp.getRhs().getDefiningOp();
-
     const double fixedCost = NEGLIGIBLE_COMPLEXITY;
     const double lweDimCostFactor = NEGLIGIBLE_COMPLEXITY;
 
-    llvm::APInt xSmanp = llvm::APInt{1, 1, false};
-    if (xOp != nullptr) {
-      const auto xSmanpAttr = xOp->getAttrOfType<mlir::IntegerAttr>("SMANP");
-      assert(xSmanpAttr && "Missing SMANP value on a crypto operation");
-      xSmanp = xSmanpAttr.getValue();
-    }
-
-    llvm::APInt ySmanp = llvm::APInt{1, 1, false};
-    if (yOp != nullptr) {
-      const auto ySmanpAttr = yOp->getAttrOfType<mlir::IntegerAttr>("SMANP");
-      assert(ySmanpAttr && "Missing SMANP value on a crypto operation");
-      ySmanp = ySmanpAttr.getValue();
-    }
-
-    auto loc = loc_to_string(innerProductOp.getLoc());
-    auto comment =
-        std::string(innerProductOp->getName().getStringRef()) + " " + loc;
-
-    // (x + y) and (x - y)
-    const double addSubManp =
-        sqrt(xSmanp.roundToDouble() + ySmanp.roundToDouble());
+    auto comment = std::string(innerProductOp->getName().getStringRef()) + " " +
+                   loc_to_string(innerProductOp.getLoc());
 
     // tlu(v)
     const double tluManp = 1;
@@ -551,9 +608,11 @@ struct FunctionToDag {
     const std::vector<std::uint64_t> unknownFunction;
 
     // tlu(x + y)
-    auto addNode =
-        dagBuilder.add_levelled_op(slice(inputs), lweDimCostFactor, fixedCost,
-                                   addSubManp, slice(pairMatrixShape), comment);
+    auto addWeights = std::vector<double>{1, 1};
+    auto addNode = dagBuilder.add_levelled_op(
+        slice(inputs), lweDimCostFactor, fixedCost, slice(addWeights),
+        slice(pairMatrixShape), comment, *loc);
+
     std::optional<concrete_optimizer::dag::OperatorIndex> lhsCorrectionNode;
     if (isSignedEint(innerProductOp.getType())) {
       // If signed mul we need to add the addition node for correction of the
@@ -561,31 +620,36 @@ struct FunctionToDag {
       addNode = dagBuilder.add_dot(
           slice(std::vector<concrete_optimizer::dag::OperatorIndex>{addNode}),
           concrete_optimizer::weights::vector(
-              slice(std::vector<std::int64_t>{1})));
+              slice(std::vector<std::int64_t>{1})),
+          *loc);
       lhsCorrectionNode = addNode;
     }
     auto lhsTluNode =
-        dagBuilder.add_lut(addNode, slice(unknownFunction), precision);
+        dagBuilder.add_lut(addNode, slice(unknownFunction), precision, *loc);
 
     // tlu(x - y)
-    auto subNode =
-        dagBuilder.add_levelled_op(slice(inputs), lweDimCostFactor, fixedCost,
-                                   addSubManp, slice(pairMatrixShape), comment);
+    auto subWeights = std::vector<double>{1, 1};
+    auto subNode = dagBuilder.add_levelled_op(
+        slice(inputs), lweDimCostFactor, fixedCost, slice(subWeights),
+        slice(pairMatrixShape), comment, *loc);
+
     // This is a signed tlu so we need to also add the addition for correction
     // signed tlu
     auto rhsCorrectionNode = dagBuilder.add_dot(
         slice(std::vector<concrete_optimizer::dag::OperatorIndex>{subNode}),
         concrete_optimizer::weights::vector(
-            slice(std::vector<std::int64_t>{1})));
-    auto rhsTluNode = dagBuilder.add_lut(rhsCorrectionNode,
-                                         slice(unknownFunction), precision);
+            slice(std::vector<std::int64_t>{1})),
+        *loc);
+    auto rhsTluNode = dagBuilder.add_lut(
+        rhsCorrectionNode, slice(unknownFunction), precision, *loc);
 
     // tlu(x + y) - tlu(x - y)
+    auto resultWeights = std::vector<double>{1, 1};
     const std::vector<concrete_optimizer::dag::OperatorIndex> subInputs = {
         lhsTluNode, rhsTluNode};
     auto resultNode = dagBuilder.add_levelled_op(
-        slice(subInputs), lweDimCostFactor, fixedCost, tluSubManp,
-        slice(pairMatrixShape), comment);
+        slice(subInputs), lweDimCostFactor, fixedCost, slice(resultWeights),
+        slice(pairMatrixShape), comment, *loc);
 
     // 3. Sum(tlu(x + y) - tlu(x - y))
     // Create a leveled op that simulates concatenation. It takes
@@ -606,9 +670,10 @@ struct FunctionToDag {
 
     // TODO: use APIFloat.sqrt when it's available
     double manp = sqrt(smanp_int.getValue().roundToDouble());
+    auto weights = std::vector<double>(sumOperands.size(), manp / tluSubManp);
     index[result] = dagBuilder.add_levelled_op(
-        slice(sumOperands), lwe_dim_cost_factor, fixed_cost, manp,
-        slice(resultShape), comment);
+        slice(sumOperands), lwe_dim_cost_factor, fixed_cost, slice(weights),
+        slice(resultShape), comment, *loc);
 
     // Create the TFHE.OId attributes
     // The first elements of the vector are nodes for the encrypted
@@ -647,49 +712,31 @@ struct FunctionToDag {
 
   void addMax(FHE::MaxEintOp &maxOp, Inputs &inputs, int precision) {
     mlir::Value result = maxOp.getResult();
+    auto loc = loc_to_location(maxOp.getLoc());
     const std::vector<uint64_t> resultShape = getShape(result);
 
-    Operation *xOp = maxOp.getX().getDefiningOp();
-    Operation *yOp = maxOp.getY().getDefiningOp();
-
     const double fixedCost = NEGLIGIBLE_COMPLEXITY;
     const double lweDimCostFactor = NEGLIGIBLE_COMPLEXITY;
 
-    llvm::APInt xSmanp = llvm::APInt{1, 1, false};
-    if (xOp != nullptr) {
-      const auto xSmanpAttr = xOp->getAttrOfType<mlir::IntegerAttr>("SMANP");
-      assert(xSmanpAttr && "Missing SMANP value on a crypto operation");
-      xSmanp = xSmanpAttr.getValue();
-    }
+    auto comment = std::string(maxOp->getName().getStringRef()) + " " +
+                   loc_to_string(maxOp.getLoc());
 
-    llvm::APInt ySmanp = llvm::APInt{1, 1, false};
-    if (yOp != nullptr) {
-      const auto ySmanpAttr = yOp->getAttrOfType<mlir::IntegerAttr>("SMANP");
-      assert(ySmanpAttr && "Missing SMANP value on a crypto operation");
-      ySmanp = ySmanpAttr.getValue();
-    }
+    auto subWeights = std::vector<double>{1, 1};
+    auto subNode = dagBuilder.add_levelled_op(
+        slice(inputs), lweDimCostFactor, fixedCost, slice(subWeights),
+        slice(resultShape), comment, *loc);
 
-    const double subManp =
-        sqrt(xSmanp.roundToDouble() + ySmanp.roundToDouble());
-
-    auto loc = loc_to_string(maxOp.getLoc());
-    auto comment = std::string(maxOp->getName().getStringRef()) + " " + loc;
-
-    auto subNode =
-        dagBuilder.add_levelled_op(slice(inputs), lweDimCostFactor, fixedCost,
-                                   subManp, slice(resultShape), comment);
-
-    const double tluNodeManp = 1;
     const std::vector<std::uint64_t> unknownFunction;
     auto tluNode =
-        dagBuilder.add_lut(subNode, slice(unknownFunction), precision);
+        dagBuilder.add_lut(subNode, slice(unknownFunction), precision, *loc);
 
-    const double addManp = sqrt(tluNodeManp + ySmanp.roundToDouble());
     const std::vector<concrete_optimizer::dag::OperatorIndex> addInputs = {
         tluNode, inputs[1]};
+    auto addWeights = std::vector<double>{1, 1};
     auto resultNode = dagBuilder.add_levelled_op(
-        slice(addInputs), lweDimCostFactor, fixedCost, addManp,
-        slice(resultShape), comment);
+        slice(addInputs), lweDimCostFactor, fixedCost, slice(addWeights),
+        slice(resultShape), comment, *loc);
+
     index[result] = resultNode;
 
     // Set attribute on the MLIR node
@@ -705,6 +752,7 @@ struct FunctionToDag {
                     int precision) {
     mlir::Value result = maxpool2dOp.getResult();
     const std::vector<uint64_t> resultShape = getShape(result);
+    auto loc = loc_to_location(maxpool2dOp.getLoc());
 
     // all TLUs are flattened into a dimension
     // to create a single TLU node in optimizer dag
@@ -732,25 +780,29 @@ struct FunctionToDag {
 
     const double subManp = sqrt(2 * inputSmanp.roundToDouble() + 1);
 
-    auto loc = loc_to_string(maxpool2dOp.getLoc());
-    auto comment =
-        std::string(maxpool2dOp->getName().getStringRef()) + " " + loc;
+    auto comment = std::string(maxpool2dOp->getName().getStringRef()) + " " +
+                   loc_to_string(maxpool2dOp.getLoc());
 
-    auto subNode =
-        dagBuilder.add_levelled_op(slice(inputs), lweDimCostFactor, fixedCost,
-                                   subManp, slice(fakeShape), comment);
+    auto subWeights = std::vector<double>(
+        inputs.size(), subManp / sqrt(inputSmanp.roundToDouble()));
+    auto subNode = dagBuilder.add_levelled_op(slice(inputs), lweDimCostFactor,
+                                              fixedCost, slice(subWeights),
+                                              slice(fakeShape), comment, *loc);
 
     const std::vector<std::uint64_t> unknownFunction;
     auto tluNode =
-        dagBuilder.add_lut(subNode, slice(unknownFunction), precision);
+        dagBuilder.add_lut(subNode, slice(unknownFunction), precision, *loc);
 
     const double addManp = sqrt(inputSmanp.roundToDouble() + 1);
     const std::vector<concrete_optimizer::dag::OperatorIndex> addInputs = {
         tluNode, inputs[0]};
 
+    auto resultWeights = std::vector<double>(
+        addInputs.size(), addManp / sqrt(inputSmanp.roundToDouble()));
     auto resultNode = dagBuilder.add_levelled_op(
-        slice(addInputs), lweDimCostFactor, fixedCost, addManp,
-        slice(resultShape), comment);
+        slice(addInputs), lweDimCostFactor, fixedCost, slice(resultWeights),
+        slice(resultShape), comment, *loc);
+
     index[result] = resultNode;
     // Set attribute on the MLIR node
     mlir::Builder builder(maxpool2dOp.getContext());
@@ -771,7 +823,8 @@ struct FunctionToDag {
   idPlaceholder(concrete_optimizer::dag::OperatorIndex input) {
     std::vector inputs = {input};
     return dagBuilder.add_dot(slice(inputs),
-                              concrete_optimizer::weights::number(1));
+                              concrete_optimizer::weights::number(1),
+                              *location_unknown());
   }
 
   Inputs encryptedInputs(mlir::Operation &op) {
@@ -852,6 +905,14 @@ struct FunctionToDag {
     return llvm::dyn_cast<mlir::concretelang::FHELinalg::MulEintOp>(op);
   }
 
+  mlir::concretelang::FHE::ZeroNoise asZeroNoise(mlir::Operation &op) {
+    return llvm::dyn_cast<mlir::concretelang::FHE::ZeroNoise>(op);
+  }
+
+  mlir::concretelang::FHE::AdditiveNoise asAdditiveNoise(mlir::Operation &op) {
+    return llvm::dyn_cast<mlir::concretelang::FHE::AdditiveNoise>(op);
+  }
+
   mlir::concretelang::FHE::MaxEintOp asMax(mlir::Operation &op) {
     return llvm::dyn_cast<mlir::concretelang::FHE::MaxEintOp>(op);
   }
diff --git a/compilers/concrete-compiler/compiler/lib/Dialect/FHE/Analysis/MANP.cpp b/compilers/concrete-compiler/compiler/lib/Dialect/FHE/Analysis/MANP.cpp
index 5cd15adae..faaaf51f8 100644
--- a/compilers/concrete-compiler/compiler/lib/Dialect/FHE/Analysis/MANP.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Dialect/FHE/Analysis/MANP.cpp
@@ -794,14 +794,12 @@ public:
   std::optional<llvm::APInt>
   norm2SqEquivFromOp(Operation *op, ArrayRef<const MANPLattice *> operands) {
     std::optional<llvm::APInt> norm2SqEquiv;
-    if (auto cstNoiseOp =
-            llvm::dyn_cast<mlir::concretelang::FHE::ConstantNoise>(op)) {
-      if (llvm::isa<mlir::concretelang::FHE::ZeroEintOp,
-                    mlir::concretelang::FHE::ZeroTensorOp>(op)) {
-        norm2SqEquiv = llvm::APInt{1, 0, false};
-      } else {
-        norm2SqEquiv = llvm::APInt{1, 1, false};
-      }
+    if (auto zeroNoiseOp =
+            llvm::dyn_cast<mlir::concretelang::FHE::ZeroNoise>(op)) {
+      norm2SqEquiv = llvm::APInt{1, 0, false};
+    } else if (auto cstNoiseOp =
+                   llvm::dyn_cast<mlir::concretelang::FHE::ConstantNoise>(op)) {
+      norm2SqEquiv = llvm::APInt{1, 1, false};
     } else if (llvm::isa<mlir::concretelang::FHE::ToBoolOp>(op) ||
                llvm::isa<mlir::concretelang::FHE::FromBoolOp>(op)) {
       norm2SqEquiv = getNoOpSqMANP(operands);
diff --git a/compilers/concrete-compiler/compiler/lib/Dialect/RT/Analysis/LowerDataflowTasksToRT.cpp b/compilers/concrete-compiler/compiler/lib/Dialect/RT/Analysis/LowerDataflowTasksToRT.cpp
index 0ebc6aefb..17bdd1fd9 100644
--- a/compilers/concrete-compiler/compiler/lib/Dialect/RT/Analysis/LowerDataflowTasksToRT.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Dialect/RT/Analysis/LowerDataflowTasksToRT.cpp
@@ -306,19 +306,6 @@ static void lowerDataflowTaskOp(RT::DataflowTaskOp DFTOp,
   DFTOp.erase();
 }
 
-static void registerWorkFunction(mlir::func::FuncOp parentFunc,
-                                 mlir::func::FuncOp workFunction) {
-  OpBuilder builder(parentFunc.getBody());
-  builder.setInsertionPointToStart(&parentFunc.getBody().front());
-
-  auto fnptr = builder.create<mlir::func::ConstantOp>(
-      parentFunc.getLoc(), workFunction.getFunctionType(),
-      SymbolRefAttr::get(builder.getContext(), workFunction.getName()));
-
-  builder.create<RT::RegisterTaskWorkFunctionOp>(parentFunc.getLoc(),
-                                                 fnptr.getResult());
-}
-
 static func::FuncOp getCalledFunction(CallOpInterface callOp) {
   SymbolRefAttr sym = callOp.getCallableForCallee().dyn_cast<SymbolRefAttr>();
   if (!sym)
@@ -333,8 +320,6 @@ struct LowerDataflowTasksPass
 
   void runOnOperation() override {
     auto module = getOperation();
-    SmallVector<func::FuncOp, 4> workFunctions;
-    SmallVector<func::FuncOp, 1> entryPoints;
 
     module.walk([&](mlir::func::FuncOp func) {
       static int wfn_id = 0;
@@ -357,58 +342,12 @@ struct LowerDataflowTasksPass
         outliningMap.push_back(
             std::pair<RT::DataflowTaskOp, func::FuncOp>(op, outlinedFunc));
         symbolTable.insert(outlinedFunc);
-        workFunctions.push_back(outlinedFunc);
         return WalkResult::advance();
       });
       // Lower the DF task ops to RT dialect ops.
       for (auto mapping : outliningMap)
         lowerDataflowTaskOp(mapping.first, mapping.second);
-
-      // Gather all entry points (assuming no recursive calls to entry points)
-      // Main is always an entry-point - otherwise check if this
-      // function is called within the module.  TODO: we assume no
-      // recursion.
-      if (func.getName() == "main")
-        entryPoints.push_back(func);
-      else {
-        bool found = false;
-        module.walk([&](mlir::func::CallOp op) {
-          if (getCalledFunction(op) == func)
-            found = true;
-        });
-        if (!found)
-          entryPoints.push_back(func);
-      }
     });
-
-    for (auto entryPoint : entryPoints) {
-      // If this is a JIT invocation and we're not on the root node,
-      // we do not need to do any computation, only register all work
-      // functions with the runtime system
-      if (!workFunctions.empty()) {
-        if (!dfr::_dfr_is_root_node()) {
-          entryPoint.eraseBody();
-          Block *b = new Block;
-          FunctionType funTy = entryPoint.getFunctionType();
-          SmallVector<Location> locations(funTy.getInputs().size(),
-                                          entryPoint.getLoc());
-          b->addArguments(funTy.getInputs(), locations);
-          entryPoint.getBody().push_front(b);
-          for (int i = funTy.getNumInputs() - 1; i >= 0; --i)
-            entryPoint.eraseArgument(i);
-          for (int i = funTy.getNumResults() - 1; i >= 0; --i)
-            entryPoint.eraseResult(i);
-          OpBuilder builder(entryPoint.getBody());
-          builder.setInsertionPointToEnd(&entryPoint.getBody().front());
-          builder.create<mlir::func::ReturnOp>(entryPoint.getLoc());
-        }
-      }
-
-      // Generate code to register all work-functions with the
-      // runtime.
-      for (auto wf : workFunctions)
-        registerWorkFunction(entryPoint, wf);
-    }
   }
   LowerDataflowTasksPass(bool debug) : debug(debug){};
 
@@ -428,29 +367,27 @@ struct StartStopPass : public StartStopBase<StartStopPass> {
 
   void runOnOperation() override {
     auto module = getOperation();
-    int useDFR = 0;
     SmallVector<func::FuncOp, 1> entryPoints;
 
+    // Gather all entry points in the module.
     module.walk([&](mlir::func::FuncOp func) {
-      // Do not add start/stop to work functions - but if any are
-      // present, then we need to activate the runtime
-      if (func->getAttr("_dfr_work_function_attribute")) {
-        useDFR = 1;
-      } else {
-        // Main is always an entry-point - otherwise check if this
-        // function is called within the module.  TODO: we assume no
-        // recursion.
-        if (func.getName() == "main")
+      // Work functions are never allowed to be an entry point.
+      if (func->getAttr("_dfr_work_function_attribute"))
+        return;
+
+      // Main is always an entry-point - otherwise check if this
+      // function is called within the module.  TODO: we assume no
+      // recursion.
+      if (func.getName() == "main")
+        entryPoints.push_back(func);
+      else {
+        bool found = false;
+        module.walk([&](mlir::func::CallOp op) {
+          if (getCalledFunction(op) == func)
+            found = true;
+        });
+        if (!found)
           entryPoints.push_back(func);
-        else {
-          bool found = false;
-          module.walk([&](mlir::func::CallOp op) {
-            if (getCalledFunction(op) == func)
-              found = true;
-          });
-          if (!found)
-            entryPoints.push_back(func);
-        }
       }
     });
 
@@ -459,7 +396,7 @@ struct StartStopPass : public StartStopBase<StartStopPass> {
       OpBuilder builder(entryPoint.getBody());
       builder.setInsertionPointToStart(&entryPoint.getBody().front());
       Value useDFRVal = builder.create<arith::ConstantOp>(
-          entryPoint.getLoc(), builder.getI64IntegerAttr(useDFR));
+          entryPoint.getLoc(), builder.getI64IntegerAttr(1));
 
       // Check if this entry point uses a context
       Value ctx = nullptr;
diff --git a/compilers/concrete-compiler/compiler/lib/Dialect/SDFG/Transforms/CMakeLists.txt b/compilers/concrete-compiler/compiler/lib/Dialect/SDFG/Transforms/CMakeLists.txt
index d8254270c..5d781bfea 100644
--- a/compilers/concrete-compiler/compiler/lib/Dialect/SDFG/Transforms/CMakeLists.txt
+++ b/compilers/concrete-compiler/compiler/lib/Dialect/SDFG/Transforms/CMakeLists.txt
@@ -2,12 +2,14 @@ add_mlir_dialect_library(
   ConcretelangSDFGTransforms
   BufferizableOpInterfaceImpl.cpp
   SDFGConvertibleOpInterfaceImpl.cpp
+  SDFGBufferOwnership.cpp
   ADDITIONAL_HEADER_DIRS
   ${PROJECT_SOURCE_DIR}/include/concretelang/Dialect/Concrete
   ${PROJECT_SOURCE_DIR}/include/concretelang/Dialect/SDFG
   DEPENDS
   mlir-headers
   SDFGDialect
+  ConcretelangSDFGTransformsPassIncGen
   ConcretelangSDFGInterfaces
   LINK_LIBS
   PUBLIC
diff --git a/compilers/concrete-compiler/compiler/lib/Dialect/SDFG/Transforms/SDFGBufferOwnership.cpp b/compilers/concrete-compiler/compiler/lib/Dialect/SDFG/Transforms/SDFGBufferOwnership.cpp
new file mode 100644
index 000000000..f56019aea
--- /dev/null
+++ b/compilers/concrete-compiler/compiler/lib/Dialect/SDFG/Transforms/SDFGBufferOwnership.cpp
@@ -0,0 +1,112 @@
+// Part of the Concrete Compiler Project, under the BSD3 License with Zama
+// Exceptions. See
+// https://github.com/zama-ai/concrete/blob/main/LICENSE.txt
+// for license information.
+
+#include "mlir/Dialect/Arith/IR/Arith.h"
+#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
+#include "mlir/Dialect/Bufferization/Transforms/BufferUtils.h"
+#include "mlir/Dialect/Func/IR/FuncOps.h"
+#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
+#include "mlir/Dialect/MemRef/IR/MemRef.h"
+#include "mlir/Dialect/SCF/IR/SCF.h"
+#include "mlir/Dialect/Tensor/IR/Tensor.h"
+#include "mlir/IR/Dialect.h"
+#include "mlir/IR/Dominance.h"
+#include "mlir/IR/Operation.h"
+
+#include "concretelang/Conversion/Tools.h"
+#include "concretelang/Dialect/Concrete/IR/ConcreteDialect.h"
+#include "concretelang/Dialect/Concrete/IR/ConcreteOps.h"
+#include "concretelang/Dialect/SDFG/IR/SDFGDialect.h"
+#include "concretelang/Dialect/SDFG/IR/SDFGOps.h"
+#include "concretelang/Dialect/SDFG/IR/SDFGTypes.h"
+#include "concretelang/Dialect/SDFG/Transforms/BufferizableOpInterfaceImpl.h"
+#include "concretelang/Support/CompilerEngine.h"
+#include <concretelang/Dialect/SDFG/Transforms/Passes.h>
+#include <mlir/IR/AffineExpr.h>
+#include <mlir/IR/AffineMap.h>
+#include <mlir/IR/BuiltinTypes.h>
+
+using namespace mlir;
+using namespace mlir::bufferization;
+using namespace mlir::tensor;
+
+namespace SDFG = mlir::concretelang::SDFG;
+
+namespace mlir {
+namespace concretelang {
+namespace {
+
+static void getAliasedUses(Value val, DenseSet<OpOperand *> &aliasedUses) {
+  for (auto &use : val.getUses()) {
+    aliasedUses.insert(&use);
+    if (dyn_cast<ViewLikeOpInterface>(use.getOwner()))
+      getAliasedUses(use.getOwner()->getResult(0), aliasedUses);
+  }
+}
+
+static func::FuncOp getCalledFunction(CallOpInterface callOp) {
+  SymbolRefAttr sym = callOp.getCallableForCallee().dyn_cast<SymbolRefAttr>();
+  if (!sym)
+    return nullptr;
+  return dyn_cast_or_null<func::FuncOp>(
+      SymbolTable::lookupNearestSymbolFrom(callOp, sym));
+}
+
+struct SDFGBufferOwnershipPass
+    : public SDFGBufferOwnershipBase<SDFGBufferOwnershipPass> {
+
+  void runOnOperation() override {
+    auto module = getOperation();
+    std::vector<Operation *> deallocOps;
+
+    // Find all SDFG put operations that use a buffer only used for
+    // this operation, then deallocated. In such cases there is no
+    // need to copy the data again in the runtime and we can take
+    // ownership of the buffer instead, removing the deallocation and
+    // allowing the runtime to deallocate when appropriate.
+    module.walk([&](mlir::memref::DeallocOp op) {
+      DominanceInfo domInfo(op);
+      Value alloc = op.getOperand();
+      DenseSet<OpOperand *> aliasedUses;
+      getAliasedUses(alloc, aliasedUses);
+
+      // Check if this memref is used in a SDFG put operation
+      for (auto use : aliasedUses) {
+        if (isa<mlir::func::CallOp>(use->getOwner())) {
+          mlir::func::CallOp callOp = cast<func::CallOp>(use->getOwner());
+          mlir::func::FuncOp funcOp = getCalledFunction(callOp);
+          std::string putName = "stream_emulator_put_memref";
+          if (funcOp.getName().str().compare(0, putName.size(), putName) == 0) {
+            // If the put operation dominates the deallocation, then
+            // ownership of the data can be transferred to the runtime
+            // and deallocation can be removed. We mark the ownership
+            // flag in the PUT operation to notify the runtime that it
+            // gets ownership.
+            if (domInfo.properlyDominates(callOp, op)) {
+              deallocOps.push_back(op);
+              OpBuilder builder(callOp);
+              mlir::Value cst1 = builder.create<mlir::arith::ConstantOp>(
+                  callOp.getLoc(), builder.getI64IntegerAttr(1));
+              callOp->setOperand(2, cst1);
+            }
+            return;
+          }
+        }
+      }
+    });
+
+    for (auto dop : deallocOps) {
+      dop->erase();
+    }
+  }
+};
+} // end anonymous namespace
+
+std::unique_ptr<mlir::Pass> createSDFGBufferOwnershipPass() {
+  return std::make_unique<SDFGBufferOwnershipPass>();
+}
+
+} // end namespace concretelang
+} // end namespace mlir
diff --git a/compilers/concrete-compiler/compiler/lib/Dialect/TFHE/Transforms/TFHECircuitSolutionParametrization.cpp b/compilers/concrete-compiler/compiler/lib/Dialect/TFHE/Transforms/TFHECircuitSolutionParametrization.cpp
index e97140b9d..4d4c6dd25 100644
--- a/compilers/concrete-compiler/compiler/lib/Dialect/TFHE/Transforms/TFHECircuitSolutionParametrization.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Dialect/TFHE/Transforms/TFHECircuitSolutionParametrization.cpp
@@ -997,6 +997,9 @@ public:
         return mlir::failure();
     }
 
+    if (oldOp->getAttr("_dfr_work_function_attribute"))
+      newOp->setAttr("_dfr_work_function_attribute", rewriter.getUnitAttr());
+
     return mlir::success();
   }
 
diff --git a/compilers/concrete-compiler/compiler/lib/Runtime/CMakeLists.txt b/compilers/concrete-compiler/compiler/lib/Runtime/CMakeLists.txt
index 13d477500..03d0a0556 100644
--- a/compilers/concrete-compiler/compiler/lib/Runtime/CMakeLists.txt
+++ b/compilers/concrete-compiler/compiler/lib/Runtime/CMakeLists.txt
@@ -1,12 +1,28 @@
 add_compile_options(-fsized-deallocation)
 
 if(CONCRETELANG_CUDA_SUPPORT)
-  add_library(ConcretelangRuntime SHARED context.cpp simulation.cpp wrappers.cpp DFRuntime.cpp key_manager.cpp
-                                         GPUDFG.cpp)
+  add_library(
+    ConcretelangRuntime SHARED
+    context.cpp
+    utils.cpp
+    simulation.cpp
+    wrappers.cpp
+    DFRuntime.cpp
+    key_manager.cpp
+    GPUDFG.cpp
+    time_util.cpp)
   target_link_libraries(ConcretelangRuntime PRIVATE hwloc)
 else()
-  add_library(ConcretelangRuntime SHARED context.cpp simulation.cpp wrappers.cpp DFRuntime.cpp key_manager.cpp
-                                         StreamEmulator.cpp)
+  add_library(
+    ConcretelangRuntime SHARED
+    context.cpp
+    utils.cpp
+    simulation.cpp
+    wrappers.cpp
+    DFRuntime.cpp
+    key_manager.cpp
+    GPUDFG.cpp
+    time_util.cpp)
 endif()
 
 add_dependencies(ConcretelangRuntime concrete_cpu concrete_cpu_noise_model concrete-protocol)
diff --git a/compilers/concrete-compiler/compiler/lib/Runtime/DFRuntime.cpp b/compilers/concrete-compiler/compiler/lib/Runtime/DFRuntime.cpp
index af5dc8089..b89b078a1 100644
--- a/compilers/concrete-compiler/compiler/lib/Runtime/DFRuntime.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Runtime/DFRuntime.cpp
@@ -36,6 +36,10 @@ static size_t num_nodes = 0;
 static struct timespec init_timer, broadcast_timer, compute_timer, whole_timer;
 #endif
 } // namespace
+
+void *dl_handle = nullptr;
+WorkFunctionRegistry *_dfr_node_level_work_function_registry;
+
 } // namespace dfr
 } // namespace concretelang
 } // namespace mlir
@@ -99,7 +103,6 @@ void _dfr_create_async_task(wfnptr wfn, void *ctx, size_t num_params,
     param_types.push_back(va_arg(args, uint64_t));
   }
   va_end(args);
-
   dfr_create_async_task_impl(wfn, ctx, refcounted_futures, param_sizes,
                              param_types, outputs, output_sizes, output_types);
 }
@@ -179,6 +182,7 @@ bool _dfr_is_jit() { return is_jit_p; }
 bool _dfr_is_root_node() { return is_root_node_p; }
 bool _dfr_use_omp() { return use_omp_p; }
 bool _dfr_is_distributed() { return num_nodes > 1; }
+void _dfr_register_lib(void *dlh) { dl_handle = dlh; }
 } // namespace dfr
 } // namespace concretelang
 } // namespace mlir
@@ -210,8 +214,10 @@ static inline void _dfr_stop_impl() {
 }
 
 static inline void _dfr_start_impl(int argc, char *argv[]) {
+  CONCRETELANG_ENABLE_TIMING();
   BEGIN_TIME(&init_timer);
-  dl_handle = dlopen(nullptr, RTLD_NOW);
+  if (dl_handle == nullptr)
+    dl_handle = dlopen(nullptr, RTLD_NOW);
 
   // If OpenMP is to be used, we need to force its initialization
   // before thread binding occurs. Otherwise OMP threads will be bound
@@ -315,7 +321,7 @@ static inline void _dfr_start_impl(int argc, char *argv[]) {
   is_root_node_p = (hpx::find_here() == hpx::find_root_locality());
   num_nodes = hpx::get_num_localities().get();
 
-  new WorkFunctionRegistry();
+  _dfr_node_level_work_function_registry = new WorkFunctionRegistry();
 
   char *env = getenv("DFR_LAZY_KEY_TRANSFER");
   bool lazy = false;
@@ -324,7 +330,7 @@ static inline void _dfr_start_impl(int argc, char *argv[]) {
         !strncmp(env, "On", 2) || !strncmp(env, "on", 2) ||
         !strncmp(env, "1", 1))
       lazy = true;
-  new RuntimeContextManager(lazy);
+  _dfr_node_level_runtime_context_manager = new RuntimeContextManager(lazy);
 
   _dfr_jit_phase_barrier = new hpx::distributed::barrier(
       "phase_barrier", num_nodes, hpx::get_locality_id());
@@ -346,6 +352,7 @@ static inline void _dfr_start_impl(int argc, char *argv[]) {
     JIT invocation).  These serve to pause/resume the runtime
     scheduler and to clean up used resources.  */
 void _dfr_start(int64_t use_dfr_p, void *ctx) {
+  CONCRETELANG_ENABLE_TIMING();
   BEGIN_TIME(&whole_timer);
   if (use_dfr_p) {
     // The first invocation will initialise the runtime. As each call to
@@ -365,12 +372,10 @@ void _dfr_start(int64_t use_dfr_p, void *ctx) {
     if (num_nodes > 1) {
       BEGIN_TIME(&broadcast_timer);
       _dfr_node_level_runtime_context_manager->setContext(ctx);
-    }
-    if (_dfr_is_root_node())
       _dfr_startup_barrier->wait();
-
-    if (num_nodes > 1 && ctx) {
-      END_TIME(&broadcast_timer, "Key broadcasting");
+      if (ctx) {
+        END_TIME(&broadcast_timer, "Key broadcasting");
+      }
     }
   }
   BEGIN_TIME(&compute_timer);
@@ -383,24 +388,29 @@ void _dfr_start(int64_t use_dfr_p, void *ctx) {
 void _dfr_stop(int64_t use_dfr_p) {
   if (use_dfr_p) {
     if (num_nodes > 1) {
-      // Non-root nodes synchronize here with the root to mark the point
-      // where the root is free to send work out (only needed in JIT).
-      if (!_dfr_is_root_node())
-        _dfr_startup_barrier->wait();
-
       // The barrier is only needed to synchronize the different
       // computation phases when the compute nodes need to generate and
       // register new work functions in each phase.
       _dfr_jit_phase_barrier->wait();
-
       _dfr_node_level_runtime_context_manager->clearContext();
       _dfr_node_level_work_function_registry->clearRegistry();
+      _dfr_jit_phase_barrier->wait();
     }
   }
   END_TIME(&compute_timer, "Compute");
   END_TIME(&whole_timer, "Total execution");
 }
 
+namespace mlir {
+namespace concretelang {
+namespace dfr {
+void _dfr_run_remote_scheduler() {
+  _dfr_start(1, nullptr);
+  _dfr_stop(1);
+}
+} // namespace dfr
+} // namespace concretelang
+} // namespace mlir
 void _dfr_try_initialize() {
   // Initialize and immediately suspend the HPX runtime if not yet done.
   uint64_t expected = uninitialised;
@@ -484,6 +494,8 @@ bool _dfr_is_jit() { return is_jit_p; }
 bool _dfr_is_root_node() { return true; }
 bool _dfr_use_omp() { return use_omp_p; }
 bool _dfr_is_distributed() { return num_nodes > 1; }
+void _dfr_run_remote_scheduler() {}
+void _dfr_register_lib(void *dlh) {}
 
 } // namespace dfr
 } // namespace concretelang
@@ -491,8 +503,8 @@ bool _dfr_is_distributed() { return num_nodes > 1; }
 
 using namespace mlir::concretelang::dfr;
 
-void _dfr_start(int64_t use_dfr_p, void *ctx) { BEGIN_TIME(&compute_timer); }
-void _dfr_stop(int64_t use_dfr_p) { END_TIME(&compute_timer, "Compute"); }
+void _dfr_start(int64_t use_dfr_p, void *ctx) {}
+void _dfr_stop(int64_t use_dfr_p) {}
 
 void _dfr_terminate() {}
 #endif
diff --git a/compilers/concrete-compiler/compiler/lib/Runtime/GPUDFG.cpp b/compilers/concrete-compiler/compiler/lib/Runtime/GPUDFG.cpp
index 3cb3c078c..865ad8304 100644
--- a/compilers/concrete-compiler/compiler/lib/Runtime/GPUDFG.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Runtime/GPUDFG.cpp
@@ -3,6 +3,7 @@
 // https://github.com/zama-ai/concrete/blob/main/LICENSE.txt
 // for license information.
 
+#ifdef CONCRETELANG_CUDA_SUPPORT
 #include <atomic>
 #include <cmath>
 #include <cstdarg>
@@ -18,15 +19,11 @@
 #include <utility>
 #include <vector>
 
+#include <concretelang/Runtime/GPUDFG.hpp>
 #include <concretelang/Runtime/stream_emulator_api.h>
+#include <concretelang/Runtime/time_util.h>
 #include <concretelang/Runtime/wrappers.h>
 
-#ifdef CONCRETELANG_CUDA_SUPPORT
-#include "bootstrap.h"
-#include "device.h"
-#include "keyswitch.h"
-#include "linear_algebra.h"
-
 using RuntimeContext = mlir::concretelang::RuntimeContext;
 
 namespace mlir {
@@ -34,6 +31,10 @@ namespace concretelang {
 namespace gpu_dfg {
 namespace {
 
+#if CONCRETELANG_TIMING_ENABLED
+static struct timespec init_timer, blocking_get_timer, acc1, acc2;
+#endif
+
 using MemRef2 = MemRefDescriptor<2>;
 
 // When not using all accelerators on the machine, we distribute work
@@ -93,6 +94,7 @@ union Context {
 // across multiple locations.
 static const int32_t host_location = -1;
 static const int32_t split_location = -2;
+static const int32_t invalid_location = -3;
 // Similarly dependence chunks are either indexed (which does not
 // always correlate to the device index on which they are located) or
 // this dependence is split further.
@@ -216,17 +218,12 @@ struct GPU_DFG {
                                       polynomial_size,
                                       input_lwe_ciphertext_count);
   }
-  void free_streams() {
-    streams.sort();
-    streams.unique();
-    for (auto s : streams)
-      delete s;
-  }
   inline void *get_gpu_stream(int32_t loc) {
     if (loc < 0)
       return nullptr;
     return gpus[loc].get_gpu_stream();
   }
+  void free_streams();
 
 private:
   std::list<void *> to_free_list;
@@ -253,6 +250,7 @@ struct Dependence {
   int32_t chunk_id;
   size_t stream_generation;
   std::vector<Dependence *> chunks;
+  std::vector<size_t> chunking_schedule;
   Dependence(int32_t l, MemRef2 hd, void *dd, bool ohr, bool alloc = false,
              int32_t chunk_id = single_chunk, size_t gen = 0)
       : location(l), host_data(hd), device_data(dd), onHostReady(ohr),
@@ -266,17 +264,41 @@ struct Dependence {
   // Split a dependence into a number of chunks either to run on
   // multiple GPUs or execute concurrently on the host.
   void split_dependence(size_t num_chunks, size_t num_gpu_chunks,
-                        size_t chunk_dim, bool constant) {
+                        size_t chunk_dim, bool constant,
+                        size_t gpu_chunk_factor, GPU_DFG *dfg) {
     // If this dependence is already split, check that the split
     // matches the new request
     if (chunk_id == split_chunks) {
-      if (num_chunks + num_gpu_chunks != chunks.size())
-        warnx("WARNING: requesting to split dependence across different number "
-              "of chunks (%lu) than it already is split (%lu) which would "
-              "require remapping. This is not supported.",
-              num_chunks + num_gpu_chunks, chunks.size());
-      assert(num_chunks + num_gpu_chunks == chunks.size());
-      return;
+      if (num_chunks + num_gpu_chunks != chunks.size()) {
+        // If this is not available on host, then we need to merge on
+        // host and re-split
+        if (!onHostReady) {
+          size_t data_size = 0;
+          size_t num_samples = 0;
+          for (auto c : chunks) {
+            move_chunk_off_device(c->chunk_id, dfg);
+            data_size += memref_get_data_size(c->host_data);
+            num_samples += c->host_data.sizes[chunk_dim];
+            sdfg_gpu_debug_print_mref("Chunk", c->host_data);
+          }
+          host_data = chunks[0]->host_data;
+          host_data.allocated = host_data.aligned =
+              (uint64_t *)malloc(data_size);
+          host_data.sizes[chunk_dim] = num_samples;
+          size_t pos = 0;
+          for (auto c : chunks) {
+            memcpy(((char *)host_data.aligned) + pos, c->host_data.aligned,
+                   memref_get_data_size(c->host_data));
+            pos += memref_get_data_size(c->host_data);
+          }
+          for (auto c : chunks)
+            free_chunk_host_data(c->chunk_id, dfg);
+          onHostReady = true;
+          hostAllocated = true;
+        }
+      } else {
+        return;
+      }
     }
     if (!chunks.empty()) {
       for (auto c : chunks)
@@ -301,8 +323,8 @@ struct Dependence {
       return;
     }
     size_t chunk_size =
-        num_samples / (num_chunks + num_gpu_chunks * device_compute_factor);
-    size_t gpu_chunk_size = chunk_size * device_compute_factor;
+        num_samples / (num_chunks + num_gpu_chunks * gpu_chunk_factor);
+    size_t gpu_chunk_size = chunk_size * gpu_chunk_factor;
     chunk_size = (num_samples - gpu_chunk_size * num_gpu_chunks) / num_chunks;
     size_t chunk_remainder =
         (num_samples - gpu_chunk_size * num_gpu_chunks) % num_chunks;
@@ -331,62 +353,43 @@ struct Dependence {
     chunk_id = split_chunks;
     location = split_location;
   }
-  void merge_dependence(GPU_DFG *dfg) {
+  void finalize_merged_dependence(GPU_DFG *dfg) {
     assert(!chunks.empty() && "Cannot merge dependence with no chunks");
-    size_t data_size = 0;
-    size_t num_samples = 0;
-    for (auto c : chunks) {
-      data_size += memref_get_data_size(c->host_data);
-      num_samples += c->host_data.sizes[0];
-    }
-    uint64_t *data = (uint64_t *)malloc(data_size);
-    MemRef2 output = {data,
-                      data,
-                      0,
-                      {num_samples, chunks.front()->host_data.sizes[1]},
-                      {chunks.front()->host_data.sizes[1], 1}};
-
-    std::list<cudaStream_t *> custreams_used;
-    for (auto c : chunks) {
-      // Write out the piece in the final target dependence
-      size_t csize = memref_get_data_size(c->host_data);
-      if (c->onHostReady) {
-        memcpy(((char *)output.aligned) + output.offset, c->host_data.aligned,
-               csize);
-      } else {
-        assert(c->location > host_location);
-        cudaStream_t *s = (cudaStream_t *)dfg->get_gpu_stream(c->location);
-        cuda_memcpy_async_to_cpu(((char *)output.aligned) + output.offset,
-                                 c->device_data, csize, s, c->location);
-        custreams_used.push_back(s);
-      }
-      output.offset += csize;
-    }
-    output.offset = 0;
-    for (auto c : chunks)
-      c->free_data(dfg, true);
+    assert(host_data.allocated != nullptr);
     chunks.clear();
-
-    custreams_used.sort();
-    custreams_used.unique();
-    for (auto s : custreams_used)
-      cudaStreamSynchronize(*s);
-
     location = host_location;
     onHostReady = true;
-    assert(host_data.allocated == nullptr);
-    host_data = output;
     assert(device_data == nullptr);
-    hostAllocated = true;
     chunk_id = single_chunk;
   }
+  void copy_chunk_off_device(int32_t chunk_id, GPU_DFG *dfg) {
+    if (chunks[chunk_id]->onHostReady)
+      return;
+    chunks[chunk_id]->copy(host_location, dfg, false);
+  }
   void move_chunk_off_device(int32_t chunk_id, GPU_DFG *dfg) {
-    chunks[chunk_id]->copy(host_location, dfg);
+    copy_chunk_off_device(chunk_id, dfg);
+    chunks[chunk_id]->location = host_location;
+    if (chunks[chunk_id]->device_data == nullptr)
+      return;
     cuda_drop_async(
         chunks[chunk_id]->device_data,
         (cudaStream_t *)dfg->get_gpu_stream(chunks[chunk_id]->location),
         chunks[chunk_id]->location);
-    chunks[chunk_id]->location = host_location;
+    chunks[chunk_id]->device_data = nullptr;
+  }
+  void merge_output_off_device(int32_t chunk_id, GPU_DFG *dfg) {
+    assert(chunks[chunk_id]->location > host_location);
+    size_t data_offset = 0;
+    for (int32_t c = 0; c < chunk_id; ++c)
+      data_offset +=
+          chunking_schedule[c] * host_data.sizes[1] * sizeof(uint64_t);
+    size_t csize = memref_get_data_size(chunks[chunk_id]->host_data);
+    cudaStream_t *s =
+        (cudaStream_t *)dfg->get_gpu_stream(chunks[chunk_id]->location);
+    cuda_memcpy_async_to_cpu(((char *)host_data.aligned) + data_offset,
+                             chunks[chunk_id]->device_data, csize, s,
+                             chunks[chunk_id]->location);
   }
   void free_chunk_host_data(int32_t chunk_id, GPU_DFG *dfg) {
     assert(chunks[chunk_id]->location == host_location &&
@@ -397,16 +400,18 @@ struct Dependence {
     chunks[chunk_id]->onHostReady = false;
   }
   void free_chunk_device_data(int32_t chunk_id, GPU_DFG *dfg) {
-    assert(chunks[chunk_id]->location > host_location &&
-           chunks[chunk_id]->device_data != nullptr);
+    if (chunks[chunk_id]->device_data == nullptr)
+      return;
     cuda_drop_async(
         chunks[chunk_id]->device_data,
         (cudaStream_t *)dfg->get_gpu_stream(chunks[chunk_id]->location),
         chunks[chunk_id]->location);
     chunks[chunk_id]->device_data = nullptr;
+    chunks[chunk_id]->location =
+        (chunks[chunk_id]->onHostReady) ? host_location : invalid_location;
   }
   inline void free_data(GPU_DFG *dfg, bool immediate = false) {
-    if (location >= 0 && device_data != nullptr) {
+    if (device_data != nullptr) {
       cuda_drop_async(device_data,
                       (cudaStream_t *)dfg->get_gpu_stream(location), location);
     }
@@ -414,17 +419,19 @@ struct Dependence {
       // As streams are not synchronized aside from the GET operation,
       // we cannot free host-side data until after the synchronization
       // point as it could still be used by an asynchronous operation.
-      if (immediate)
+      if (immediate) {
         free(host_data.allocated);
-      else
+        host_data.allocated = nullptr;
+      } else {
         dfg->register_stream_order_dependent_allocation(host_data.allocated);
+      }
     }
     for (auto c : chunks)
       c->free_data(dfg, immediate);
     chunks.clear();
     delete (this);
   }
-  inline void copy(int32_t loc, GPU_DFG *dfg) {
+  inline void copy(int32_t loc, GPU_DFG *dfg, bool synchronize = true) {
     size_t data_size = memref_get_data_size(host_data);
     if (loc == location)
       return;
@@ -438,7 +445,8 @@ struct Dependence {
       cudaStream_t *s = (cudaStream_t *)dfg->get_gpu_stream(location);
       cuda_memcpy_async_to_cpu(host_data.aligned, device_data, data_size, s,
                                location);
-      cudaStreamSynchronize(*s);
+      if (synchronize)
+        cudaStreamSynchronize(*s);
       onHostReady = true;
     } else {
       assert(onHostReady &&
@@ -508,6 +516,7 @@ struct Stream {
   bool ct_stream;
   bool pt_stream;
   size_t generation;
+  std::atomic<size_t> uses = {0};
   const char *name;
   Stream(stream_type t, const char *sname = nullptr)
       : dep(nullptr), type(t), producer(nullptr), dfg(nullptr),
@@ -524,7 +533,7 @@ struct Stream {
   }
   ~Stream() {
     if (dep != nullptr)
-      dep->free_data(dfg);
+      dep->free_data(dfg, true);
     if (producer != nullptr)
       delete producer;
   }
@@ -547,6 +556,7 @@ struct Stream {
       dep = d;
     }
     dep->stream_generation = generation;
+    uses = 0;
   }
   // For a given dependence, traverse the DFG backwards to extract the lattice
   // of kernels required to execute to produce this data
@@ -579,18 +589,22 @@ struct Stream {
     size_t subgraph_bootstraps = 0;
     for (auto p : queue) {
       is_batched_subgraph |= p->batched_process;
-      subgraph_bootstraps +=
-          (p->fun == memref_bootstrap_lwe_u64_process) ? 1 : 0;
+      subgraph_bootstraps += (p->fun == memref_bootstrap_lwe_u64_process ||
+                              p->fun == memref_keyswitch_lwe_u64_process)
+                                 ? 1
+                                 : 0;
     }
     // If this subgraph is not batched, then use this DFG's allocated
     // GPU to offload to.  If this does not bootstrap, just execute on
     // the host.
     if (!is_batched_subgraph) {
-      for (auto p : queue) {
-        schedule_kernel(
-            p, (subgraph_bootstraps > 0) ? dfg->gpu_idx : host_location,
-            single_chunk, nullptr);
-      }
+      int32_t loc = (subgraph_bootstraps > 0) ? dfg->gpu_idx : host_location;
+      for (auto p : queue)
+        schedule_kernel(p, loc, single_chunk,
+                        (p == producer) ? out.aligned : nullptr);
+      if (loc != host_location)
+        dep->copy(host_location, dfg, true);
+      dep->onHostReady = true;
       return;
     }
 
@@ -645,8 +659,6 @@ struct Stream {
         num_real_inputs++;
         if (s->dep->host_data.sizes[0] > num_samples)
           num_samples = s->dep->host_data.sizes[0];
-        if (!s->dep->chunks.empty())
-          num_samples = s->dep->chunks.size();
       } else {
         mem_per_sample += sizeof(uint64_t);
       }
@@ -657,7 +669,7 @@ struct Stream {
                       (num_real_inputs ? num_real_inputs : 1);
     size_t num_chunks = 1;
     size_t num_gpu_chunks = 0;
-    int32_t num_devices_to_use = 0;
+    size_t gpu_chunk_factor = device_compute_factor;
     // If the subgraph does not have sufficient computational
     // intensity (which we approximate by whether it bootstraps), then
     // we assume (TODO: confirm with profiling) that it is not
@@ -681,16 +693,20 @@ struct Stream {
           (available_mem - const_mem_per_sample) /
           ((mem_per_sample ? mem_per_sample : 1) * gpu_memory_inflation_factor);
 
-      if (num_samples < num_cores + device_compute_factor * num_devices) {
-        num_devices_to_use = 0;
+      while (gpu_chunk_factor > 4) {
+        if (num_samples < num_cores + gpu_chunk_factor * num_devices)
+          gpu_chunk_factor >>= 1;
+        else
+          break;
+      }
+
+      if (num_samples < num_cores + gpu_chunk_factor * num_devices) {
         num_chunks = std::min(num_cores, num_samples);
       } else {
-        num_devices_to_use = num_devices;
-        size_t compute_resources =
-            num_cores + num_devices * device_compute_factor;
+        size_t compute_resources = num_cores + num_devices * gpu_chunk_factor;
         size_t gpu_chunk_size =
             std::ceil((double)num_samples / compute_resources) *
-            device_compute_factor;
+            gpu_chunk_factor;
         size_t scale_factor =
             std::ceil((double)gpu_chunk_size / max_samples_per_chunk);
         num_chunks = num_cores * scale_factor;
@@ -702,7 +718,8 @@ struct Stream {
 
     for (auto i : inputs)
       i->dep->split_dependence(num_chunks, num_gpu_chunks,
-                               (i->ct_stream) ? 0 : 1, i->const_stream);
+                               (i->ct_stream) ? 0 : 1, i->const_stream,
+                               gpu_chunk_factor, dfg);
     for (auto iv : intermediate_values) {
       if (iv->need_new_gen()) {
         iv->put(new Dependence(split_location,
@@ -712,21 +729,67 @@ struct Stream {
       }
     }
     for (auto o : outputs) {
-      if (o->need_new_gen()) {
-        o->put(new Dependence(split_location,
-                              {nullptr, nullptr, 0, {0, 0}, {0, 0}}, nullptr,
-                              false, false, split_chunks));
-        o->dep->chunks.resize(num_chunks + num_gpu_chunks, nullptr);
+      if (!o->need_new_gen())
+        continue;
+      std::function<uint64_t(Stream *)> get_output_size =
+          [&](Stream *s) -> uint64_t {
+        uint64_t res = 0;
+        // If this stream is not produced within SDFG, we could use
+        // the input size. For now return 0.
+        if (s->producer == nullptr)
+          return 0;
+        // If the producer process has an output size registered,
+        // return it.
+        if (s->producer->output_size.val > 0)
+          return s->producer->output_size.val;
+        // Finally we look for sizes from inputs to the producer if
+        // we don't have it registered as poly size does not change
+        // in operators that do not register size.
+        for (auto p : s->producer->input_streams) {
+          uint64_t p_size = get_output_size(p);
+          if (p_size == 0)
+            continue;
+          if (res == 0)
+            res = get_output_size(p);
+          else
+            assert(res == p_size);
+        }
+        return res;
+      };
+      MemRef2 out_mref;
+      bool allocated = false;
+      if (o == this) {
+        out_mref = out;
+      } else {
+        uint64_t output_size = get_output_size(o);
+        out_mref = {0, 0, 0, {num_samples, output_size}, {output_size, 1}};
+        size_t data_size = memref_get_data_size(out_mref);
+        out_mref.allocated = out_mref.aligned = (uint64_t *)malloc(data_size);
+        allocated = true;
+      }
+
+      o->put(new Dependence(split_location, out_mref, nullptr, false, allocated,
+                            split_chunks));
+      o->dep->chunks.resize(num_chunks + num_gpu_chunks, nullptr);
+    }
+    for (auto o : outputs) {
+      o->dep->chunking_schedule.clear();
+      for (auto i : inputs) {
+        size_t cdim = (i->ct_stream) ? 0 : 1;
+        if (i->dep->host_data.sizes[cdim] == num_samples) {
+          for (auto c : i->dep->chunks)
+            o->dep->chunking_schedule.push_back(c->host_data.sizes[cdim]);
+          break;
+        }
       }
     }
-
     // Execute graph
     std::list<std::thread> workers;
     std::list<std::thread> gpu_schedulers;
     std::vector<std::list<size_t>> gpu_chunk_list;
     gpu_chunk_list.resize(num_devices);
     int32_t dev = 0;
-    for (size_t c = 0; c < num_chunks + num_gpu_chunks; ++c) {
+    for (int c = num_chunks + num_gpu_chunks - 1; c >= 0; --c) {
       if (!subgraph_bootstraps) {
         workers.push_back(std::thread(
             [&](std::list<Process *> queue, size_t c, int32_t host_location) {
@@ -742,7 +805,21 @@ struct Stream {
           workers.push_back(std::thread(
               [&](std::list<Process *> queue, size_t c, int32_t host_location) {
                 for (auto p : queue) {
-                  schedule_kernel(p, host_location, c, nullptr);
+                  Stream *os = p->output_streams[0];
+                  auto it = std::find(outputs.begin(), outputs.end(), os);
+                  if (it == outputs.end()) {
+                    schedule_kernel(p, host_location, c, nullptr);
+                  } else {
+                    size_t data_offset = 0;
+                    for (int32_t ch = 0; ch < c; ++ch)
+                      data_offset +=
+                          outputs.front()->dep->chunking_schedule[ch] *
+                          os->dep->host_data.sizes[1] * sizeof(uint64_t);
+                    schedule_kernel(
+                        p, host_location, c,
+                        (uint64_t *)(((char *)os->dep->host_data.aligned) +
+                                     data_offset));
+                  }
                 }
                 for (auto iv : intermediate_values)
                   if (iv->consumers.size() == 1)
@@ -765,15 +842,35 @@ struct Stream {
               assert(status == cudaSuccess);
               cudaMemGetInfo(&gpu_free_mem, &gpu_total_mem);
               assert(status == cudaSuccess);
-              for (auto p : queue)
+              for (auto p : queue) {
                 schedule_kernel(p, dev, c, nullptr);
+                for (auto out_str : p->output_streams) {
+                  // For all output streams, if this is an output,
+                  // schedule copy out of the data produced by this
+                  // process.
+                  if (auto it =
+                          std::find(outputs.begin(), outputs.end(), out_str);
+                      it != outputs.end()) {
+                    out_str->dep->merge_output_off_device(c, dfg);
+                    continue;
+                  }
+                  // If this is not an output, but some process is not
+                  // part of this subgraph, we need to copy the data
+                  // out.
+                  for (auto cons_proc : out_str->consumers)
+                    if (auto it =
+                            std::find(queue.begin(), queue.end(), cons_proc);
+                        it == queue.end())
+                      out_str->dep->copy_chunk_off_device(c, dfg);
+                }
+              }
+              for (auto i : inputs)
+                if (++i->uses == i->consumers.size())
+                  i->dep->free_chunk_device_data(c, dfg);
               for (auto iv : intermediate_values)
-                if (iv->consumers.size() > 1)
-                  iv->dep->move_chunk_off_device(c, dfg);
-                else
-                  iv->dep->free_chunk_device_data(c, dfg);
+                iv->dep->free_chunk_device_data(c, dfg);
               for (auto o : outputs)
-                o->dep->move_chunk_off_device(c, dfg);
+                o->dep->free_chunk_device_data(c, dfg);
               cudaStreamSynchronize(*(cudaStream_t *)dfg->get_gpu_stream(dev));
             }
           },
@@ -786,65 +883,43 @@ struct Stream {
       gs.join();
     gpu_schedulers.clear();
     // Build output out of the separate chunks processed
-    for (auto o : outputs) {
-      assert(o->batched_stream && o->ct_stream &&
-             "Only operations with ciphertext output supported.");
-      o->dep->merge_dependence(dfg);
-    }
+    for (auto o : outputs)
+      o->dep->finalize_merged_dependence(dfg);
+    for (dev = 0; dev < num_devices; ++dev)
+      cudaStreamSynchronize(*(cudaStream_t *)dfg->get_gpu_stream(dev));
     // We will assume that only one subgraph is being processed per
     // DFG at a time, so we can safely free these here.
     dfg->free_stream_order_dependent_data();
     return;
   }
-  Dependence *get_on_host(MemRef2 &out) {
+  void get_on_host(MemRef2 &out) {
+    // Schedule the execution of the SDFG subgraph required to compute
+    // the value requested
     schedule_work(out);
-    assert(dep != nullptr && "GET on empty stream not allowed.");
-    // If this was already copied to host, copy out
-    if (dep->onHostReady) {
-      memref_copy_contiguous(out, dep->host_data);
-      return dep;
-    } else if (dep->location == split_location) {
-      char *pos = (char *)(out.aligned + out.offset);
-      std::list<int32_t> devices_used;
-      for (auto c : dep->chunks) {
-        size_t data_size = memref_get_data_size(c->host_data);
-        cuda_memcpy_async_to_cpu(
-            pos, c->device_data, data_size,
-            (cudaStream_t *)dfg->get_gpu_stream(c->location), c->location);
-        pos += data_size;
-        devices_used.push_back(c->location);
-      }
-      // We should only synchronize devices that had data chunks
-      devices_used.sort();
-      devices_used.unique();
-      for (auto i : devices_used)
-        cudaStreamSynchronize(*(cudaStream_t *)dfg->get_gpu_stream(i));
-    } else {
-      size_t data_size = memref_get_data_size(dep->host_data);
-      cuda_memcpy_async_to_cpu(out.aligned + out.offset, dep->device_data,
-                               data_size, (cudaStream_t *)dfg->gpu_stream,
-                               dep->location);
-      cudaStreamSynchronize(*(cudaStream_t *)dfg->gpu_stream);
-    }
-    // After this synchronization point, all of the host-side
-    // allocated memory can be freed as we know all asynchronous
-    // operations have finished.
-    dfg->free_stream_order_dependent_data();
+
+    // The result should already have been copied to host, nothing to
+    // do (synchronization of transfers to host are pre-synchronized
+    // in schedule_work).
+    assert(dep != nullptr && dep->onHostReady);
+
+    // For now we make a copy of this dependence for future use as we
+    // can't assume that the output location will remain live until
+    // the next use.
+    // TODO: eliminate this copy.
     if (!dep->hostAllocated)
       dep->host_data = memref_copy_alloc(out);
     dep->onHostReady = true;
     dep->hostAllocated = true;
-    return dep;
   }
   Dependence *get(int32_t location, int32_t chunk_id = single_chunk) {
     assert(dep != nullptr && "Dependence could not be computed.");
     assert(chunk_id != split_chunks);
     if (chunk_id != single_chunk) {
       Dependence *d = dep->chunks[chunk_id];
-      d->copy(location, dfg);
+      d->copy(location, dfg, false);
       return d;
     }
-    dep->copy(location, dfg);
+    dep->copy(location, dfg, false);
     return dep;
   }
   inline bool need_new_gen(int32_t chunk_id = single_chunk) {
@@ -863,6 +938,13 @@ struct Stream {
   }
 };
 
+void GPU_DFG::free_streams() {
+  streams.sort();
+  streams.unique();
+  for (auto s : streams)
+    delete s;
+}
+
 static inline mlir::concretelang::gpu_dfg::Process *
 make_process_1_1(void *dfg, void *sin1, void *sout,
                  void (*fun)(Process *, int32_t, int32_t, uint64_t *)) {
@@ -882,6 +964,7 @@ make_process_1_1(void *dfg, void *sin1, void *sout,
   p->dfg->register_stream(s1);
   p->dfg->register_stream(so);
   p->batched_process = s1->batched_stream;
+  p->output_size.val = 0;
   return p;
 }
 
@@ -909,6 +992,7 @@ make_process_2_1(void *dfg, void *sin1, void *sin2, void *sout,
   p->dfg->register_stream(s2);
   p->dfg->register_stream(so);
   p->batched_process = s1->batched_stream;
+  p->output_size.val = 0;
   return p;
 }
 
@@ -957,8 +1041,11 @@ void memref_keyswitch_lwe_u64_process(Process *p, int32_t loc, int32_t chunk_id,
                                       uint64_t *out_ptr) {
   auto sched = [&](Dependence *d) {
     uint64_t num_samples = d->host_data.sizes[0];
-    MemRef2 out = {
-        0, 0, 0, {num_samples, p->output_size.val}, {p->output_size.val, 1}};
+    MemRef2 out = {out_ptr,
+                   out_ptr,
+                   0,
+                   {num_samples, p->output_size.val},
+                   {p->output_size.val, 1}};
     size_t data_size = memref_get_data_size(out);
     if (loc == host_location) {
       // If it is not profitable to offload, schedule kernel on CPU
@@ -972,8 +1059,8 @@ void memref_keyswitch_lwe_u64_process(Process *p, int32_t loc, int32_t chunk_id,
           d->host_data.strides[1], p->level.val, p->base_log.val,
           p->input_lwe_dim.val, p->output_lwe_dim.val, p->sk_index.val,
           p->ctx.val);
-      Dependence *dep =
-          new Dependence(loc, out, nullptr, true, true, d->chunk_id);
+      Dependence *dep = new Dependence(loc, out, nullptr, true,
+                                       (out_ptr == nullptr), d->chunk_id);
       return dep;
     } else {
       // Schedule the keyswitch kernel on the GPU
@@ -999,7 +1086,8 @@ void memref_keyswitch_lwe_u64_process(Process *p, int32_t loc, int32_t chunk_id,
 void memref_bootstrap_lwe_u64_process(Process *p, int32_t loc, int32_t chunk_id,
                                       uint64_t *out_ptr) {
   assert(p->output_size.val == p->glwe_dim.val * p->poly_size.val + 1);
-
+  if (!p->output_streams[0]->need_new_gen(chunk_id))
+    return;
   Dependence *idep1 = p->input_streams[1]->get(host_location, chunk_id);
   MemRef2 &mtlu = idep1->host_data;
   uint32_t num_lut_vectors = mtlu.sizes[0];
@@ -1023,8 +1111,11 @@ void memref_bootstrap_lwe_u64_process(Process *p, int32_t loc, int32_t chunk_id,
                    std::vector<size_t> &lut_indexes, cudaStream_t *s,
                    int32_t loc) {
     uint64_t num_samples = d0->host_data.sizes[0];
-    MemRef2 out = {
-        0, 0, 0, {num_samples, p->output_size.val}, {p->output_size.val, 1}};
+    MemRef2 out = {out_ptr,
+                   out_ptr,
+                   0,
+                   {num_samples, p->output_size.val},
+                   {p->output_size.val, 1}};
     size_t data_size = memref_get_data_size(out);
 
     // Move test vector indexes to the GPU, the test vector indexes is set of 0
@@ -1065,8 +1156,8 @@ void memref_bootstrap_lwe_u64_process(Process *p, int32_t loc, int32_t chunk_id,
             d1->host_data.strides[1], p->input_lwe_dim.val, p->poly_size.val,
             p->level.val, p->base_log.val, p->glwe_dim.val, p->sk_index.val,
             p->ctx.val);
-      Dependence *dep =
-          new Dependence(loc, out, nullptr, true, true, d0->chunk_id);
+      Dependence *dep = new Dependence(loc, out, nullptr, true,
+                                       (out_ptr == nullptr), d0->chunk_id);
       free(glwe_ct);
       return dep;
     } else {
@@ -1129,8 +1220,8 @@ void memref_add_lwe_ciphertexts_u64_process(Process *p, int32_t loc,
     assert(d0->host_data.sizes[1] == d1->host_data.sizes[1]);
     assert(d0->chunk_id == d1->chunk_id);
     uint64_t num_samples = d0->host_data.sizes[0];
-    MemRef2 out = {0,
-                   0,
+    MemRef2 out = {out_ptr,
+                   out_ptr,
                    0,
                    {num_samples, d0->host_data.sizes[1]},
                    {d0->host_data.sizes[1], 1}};
@@ -1148,8 +1239,8 @@ void memref_add_lwe_ciphertexts_u64_process(Process *p, int32_t loc,
           d1->host_data.aligned, d1->host_data.offset, d1->host_data.sizes[0],
           d1->host_data.sizes[1], d1->host_data.strides[0],
           d1->host_data.strides[1]);
-      Dependence *dep =
-          new Dependence(loc, out, nullptr, true, true, d0->chunk_id);
+      Dependence *dep = new Dependence(loc, out, nullptr, true,
+                                       (out_ptr == nullptr), d0->chunk_id);
       return dep;
     } else {
       // Schedule the kernel on the GPU
@@ -1179,8 +1270,8 @@ void memref_add_plaintext_lwe_ciphertext_u64_process(Process *p, int32_t loc,
            d1->host_data.sizes[1] == 1);
     assert(d0->chunk_id == d1->chunk_id);
     uint64_t num_samples = d0->host_data.sizes[0];
-    MemRef2 out = {0,
-                   0,
+    MemRef2 out = {out_ptr,
+                   out_ptr,
                    0,
                    {num_samples, d0->host_data.sizes[1]},
                    {d0->host_data.sizes[1], 1}};
@@ -1206,8 +1297,8 @@ void memref_add_plaintext_lwe_ciphertext_u64_process(Process *p, int32_t loc,
             d0->host_data.strides[1], d1->host_data.allocated,
             d1->host_data.aligned, d1->host_data.offset, d1->host_data.sizes[1],
             d1->host_data.strides[1]);
-      Dependence *dep =
-          new Dependence(loc, out, nullptr, true, true, d0->chunk_id);
+      Dependence *dep = new Dependence(loc, out, nullptr, true,
+                                       (out_ptr == nullptr), d0->chunk_id);
       return dep;
     } else {
       // Schedule the kernel on the GPU
@@ -1237,8 +1328,8 @@ void memref_mul_cleartext_lwe_ciphertext_u64_process(Process *p, int32_t loc,
            d1->host_data.sizes[1] == 1);
     assert(d0->chunk_id == d1->chunk_id);
     uint64_t num_samples = d0->host_data.sizes[0];
-    MemRef2 out = {0,
-                   0,
+    MemRef2 out = {out_ptr,
+                   out_ptr,
                    0,
                    {num_samples, d0->host_data.sizes[1]},
                    {d0->host_data.sizes[1], 1}};
@@ -1264,8 +1355,8 @@ void memref_mul_cleartext_lwe_ciphertext_u64_process(Process *p, int32_t loc,
             d0->host_data.strides[1], d1->host_data.allocated,
             d1->host_data.aligned, d1->host_data.offset, d1->host_data.sizes[1],
             d1->host_data.strides[1]);
-      Dependence *dep =
-          new Dependence(loc, out, nullptr, true, true, d0->chunk_id);
+      Dependence *dep = new Dependence(loc, out, nullptr, true,
+                                       (out_ptr == nullptr), d0->chunk_id);
       return dep;
     } else {
       // Schedule the keyswitch kernel on the GPU
@@ -1291,8 +1382,8 @@ void memref_negate_lwe_ciphertext_u64_process(Process *p, int32_t loc,
                                               uint64_t *out_ptr) {
   auto sched = [&](Dependence *d0, cudaStream_t *s, int32_t loc) {
     uint64_t num_samples = d0->host_data.sizes[0];
-    MemRef2 out = {0,
-                   0,
+    MemRef2 out = {out_ptr,
+                   out_ptr,
                    0,
                    {num_samples, d0->host_data.sizes[1]},
                    {d0->host_data.sizes[1], 1}};
@@ -1307,8 +1398,8 @@ void memref_negate_lwe_ciphertext_u64_process(Process *p, int32_t loc,
           d0->host_data.aligned, d0->host_data.offset, d0->host_data.sizes[0],
           d0->host_data.sizes[1], d0->host_data.strides[0],
           d0->host_data.strides[1]);
-      Dependence *dep =
-          new Dependence(loc, out, nullptr, true, true, d0->chunk_id);
+      Dependence *dep = new Dependence(loc, out, nullptr, true,
+                                       (out_ptr == nullptr), d0->chunk_id);
       return dep;
     } else {
       // Schedule the kernel on the GPU
@@ -1544,12 +1635,14 @@ void *stream_emulator_make_memref_stream(const char *name, stream_type stype) {
 }
 void stream_emulator_put_memref(void *stream, uint64_t *allocated,
                                 uint64_t *aligned, uint64_t offset,
-                                uint64_t size, uint64_t stride) {
+                                uint64_t size, uint64_t stride,
+                                uint64_t data_ownership = 0) {
   assert(stride == 1 && "Strided memrefs not supported");
   Stream *s = (Stream *)stream;
   MemRef2 m = {allocated, aligned, offset, {1, size}, {size, stride}};
   Dependence *dep =
-      new Dependence(host_location, memref_copy_alloc(m), nullptr, true, true);
+      new Dependence(host_location, (data_ownership) ? m : memref_copy_alloc(m),
+                     nullptr, true, true);
   s->put(dep);
   s->generation++;
 }
@@ -1573,12 +1666,14 @@ void *stream_emulator_make_memref_batch_stream(const char *name,
 void stream_emulator_put_memref_batch(void *stream, uint64_t *allocated,
                                       uint64_t *aligned, uint64_t offset,
                                       uint64_t size0, uint64_t size1,
-                                      uint64_t stride0, uint64_t stride1) {
+                                      uint64_t stride0, uint64_t stride1,
+                                      uint64_t data_ownership = 0) {
   assert(stride1 == 1 && "Strided memrefs not supported");
   Stream *s = (Stream *)stream;
   MemRef2 m = {allocated, aligned, offset, {size0, size1}, {stride0, stride1}};
   Dependence *dep =
-      new Dependence(host_location, memref_copy_alloc(m), nullptr, true, true);
+      new Dependence(host_location, (data_ownership) ? m : memref_copy_alloc(m),
+                     nullptr, true, true);
   s->put(dep);
   s->generation++;
 }
@@ -1587,6 +1682,10 @@ void stream_emulator_get_memref_batch(void *stream, uint64_t *out_allocated,
                                       uint64_t out_offset, uint64_t out_size0,
                                       uint64_t out_size1, uint64_t out_stride0,
                                       uint64_t out_stride1) {
+  static size_t count = 0;
+  END_TIME_C_ACC(&blocking_get_timer, "Non-GPU section execution", count,
+                 &acc1);
+  BEGIN_TIME(&blocking_get_timer);
   assert(out_stride1 == 1 && "Strided memrefs not supported");
   MemRef2 mref = {out_allocated,
                   out_aligned,
@@ -1595,9 +1694,13 @@ void stream_emulator_get_memref_batch(void *stream, uint64_t *out_allocated,
                   {out_stride0, out_stride1}};
   auto s = (Stream *)stream;
   s->get_on_host(mref);
+  END_TIME_C_ACC(&blocking_get_timer, "GPU section execution", count++, &acc2);
+  BEGIN_TIME(&blocking_get_timer);
 }
 
 void *stream_emulator_init() {
+  CONCRETELANG_ENABLE_TIMING();
+  BEGIN_TIME(&init_timer);
   int num;
   assert(cudaGetDeviceCount(&num) == cudaSuccess);
   num_devices = num;
@@ -1646,9 +1749,42 @@ void *stream_emulator_init() {
   if (num_cores < 1)
     num_cores = 1;
 
+  END_TIME(&init_timer, "Initialization of the SDFG runtime");
+  BEGIN_TIME(&init_timer);
+
   int device = next_device.fetch_add(1) % num_devices;
   return new GPU_DFG(device);
 }
-void stream_emulator_run(void *dfg) {}
+void stream_emulator_run(void *dfg) {
+  END_TIME(&init_timer, "Building the SDFG graph");
+  BEGIN_TIME(&blocking_get_timer);
+}
 void stream_emulator_delete(void *dfg) { delete (GPU_DFG *)dfg; }
 #endif
+
+namespace mlir {
+namespace concretelang {
+namespace gpu_dfg {
+
+bool check_cuda_device_available() {
+#ifdef CONCRETELANG_CUDA_SUPPORT
+  int num;
+  if (cudaGetDeviceCount(&num) != cudaSuccess)
+    return false;
+  return num > 0;
+#else
+  return false;
+#endif
+}
+
+bool check_cuda_runtime_enabled() {
+#ifdef CONCRETELANG_CUDA_SUPPORT
+  return true;
+#else
+  return false;
+#endif
+}
+
+} // namespace gpu_dfg
+} // namespace concretelang
+} // namespace mlir
diff --git a/compilers/concrete-compiler/compiler/lib/Runtime/context.cpp b/compilers/concrete-compiler/compiler/lib/Runtime/context.cpp
index 9d0df8d0d..46ca0da51 100644
--- a/compilers/concrete-compiler/compiler/lib/Runtime/context.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Runtime/context.cpp
@@ -41,14 +41,17 @@ RuntimeContext::RuntimeContext(ServerKeyset serverKeyset)
   }
 
 #ifdef CONCRETELANG_CUDA_SUPPORT
-  assert(cudaGetDeviceCount(&num_devices) == cudaSuccess);
-  bsk_gpu.resize(num_devices);
-  ksk_gpu.resize(num_devices);
-  for (int i = 0; i < num_devices; ++i) {
-    bsk_gpu[i].resize(serverKeyset.lweBootstrapKeys.size(), nullptr);
-    ksk_gpu[i].resize(serverKeyset.lweKeyswitchKeys.size(), nullptr);
-    bsk_gpu_mutex.push_back(std::make_unique<std::mutex>());
-    ksk_gpu_mutex.push_back(std::make_unique<std::mutex>());
+  if (cudaGetDeviceCount(&num_devices) == cudaSuccess) {
+    bsk_gpu.resize(num_devices);
+    ksk_gpu.resize(num_devices);
+    for (int i = 0; i < num_devices; ++i) {
+      bsk_gpu[i].resize(serverKeyset.lweBootstrapKeys.size(), nullptr);
+      ksk_gpu[i].resize(serverKeyset.lweKeyswitchKeys.size(), nullptr);
+      bsk_gpu_mutex.push_back(std::make_unique<std::mutex>());
+      ksk_gpu_mutex.push_back(std::make_unique<std::mutex>());
+    }
+  } else {
+    num_devices = 0;
   }
 #endif
 }
diff --git a/compilers/concrete-compiler/compiler/lib/Runtime/time_util.cpp b/compilers/concrete-compiler/compiler/lib/Runtime/time_util.cpp
new file mode 100644
index 000000000..a27c4f16a
--- /dev/null
+++ b/compilers/concrete-compiler/compiler/lib/Runtime/time_util.cpp
@@ -0,0 +1,21 @@
+// Part of the Concrete Compiler Project, under the BSD3 License with Zama
+// Exceptions. See
+// https://github.com/zama-ai/concrete/blob/main/LICENSE.txt
+// for license information.
+
+#include "concretelang/Runtime/time_util.h"
+
+#if CONCRETELANG_TIMING_ENABLED
+
+namespace mlir {
+namespace concretelang {
+namespace time_util {
+
+bool timing_enabled = false;
+struct timespec timestamp;
+
+} // namespace time_util
+} // namespace concretelang
+} // namespace mlir
+
+#endif
diff --git a/compilers/concrete-compiler/compiler/lib/Runtime/utils.cpp b/compilers/concrete-compiler/compiler/lib/Runtime/utils.cpp
new file mode 100644
index 000000000..2067b339b
--- /dev/null
+++ b/compilers/concrete-compiler/compiler/lib/Runtime/utils.cpp
@@ -0,0 +1,15 @@
+// Part of the Concrete Compiler Project, under the BSD3 License with Zama
+// Exceptions. See
+// https://github.com/zama-ai/concrete/blob/main/LICENSE.txt
+// for license information.
+
+#include "concretelang/Runtime/utils.h"
+
+namespace mlir {
+namespace concretelang {
+void LLVMInitializeNativeTarget() {
+  llvm::InitializeNativeTarget();
+  llvm::InitializeNativeTargetAsmPrinter();
+}
+} // namespace concretelang
+} // namespace mlir
diff --git a/compilers/concrete-compiler/compiler/lib/Runtime/wrappers.cpp b/compilers/concrete-compiler/compiler/lib/Runtime/wrappers.cpp
index 1b54fae83..b5a83d369 100644
--- a/compilers/concrete-compiler/compiler/lib/Runtime/wrappers.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Runtime/wrappers.cpp
@@ -112,7 +112,6 @@ void memref_batched_keyswitch_lwe_cuda_u64(
     uint64_t ct0_stride0, uint64_t ct0_stride1, uint32_t level,
     uint32_t base_log, uint32_t input_lwe_dim, uint32_t output_lwe_dim,
     uint32_t ksk_index, mlir::concretelang::RuntimeContext *context) {
-  assert(ksk_index == 0 && "multiple ksk is not yet implemented on GPU");
   assert(out_size0 == ct0_size0);
   assert(out_size1 == output_lwe_dim + 1);
   assert(ct0_size1 == input_lwe_dim + 1);
@@ -159,7 +158,6 @@ void memref_batched_bootstrap_lwe_cuda_u64(
     uint64_t tlu_stride, uint32_t input_lwe_dim, uint32_t poly_size,
     uint32_t level, uint32_t base_log, uint32_t glwe_dim, uint32_t bsk_index,
     mlir::concretelang::RuntimeContext *context) {
-  assert(bsk_index == 0 && "multiple bsk is not yet implemented on GPU");
   assert(out_size0 == ct0_size0);
   assert(out_size1 == glwe_dim * poly_size + 1);
   // TODO: Multi GPU
@@ -247,7 +245,6 @@ void memref_batched_mapped_bootstrap_lwe_cuda_u64(
     uint32_t input_lwe_dim, uint32_t poly_size, uint32_t level,
     uint32_t base_log, uint32_t glwe_dim, uint32_t bsk_index,
     mlir::concretelang::RuntimeContext *context) {
-  assert(bsk_index == 0 && "multiple bsk is not yet implemented on GPU");
   assert(out_size0 == ct0_size0);
   assert(out_size1 == glwe_dim * poly_size + 1);
   assert((out_size0 == tlu_size0 || tlu_size0 == 1) &&
diff --git a/compilers/concrete-compiler/compiler/lib/ServerLib/ServerLib.cpp b/compilers/concrete-compiler/compiler/lib/ServerLib/ServerLib.cpp
index 6a750742f..5bba83f66 100644
--- a/compilers/concrete-compiler/compiler/lib/ServerLib/ServerLib.cpp
+++ b/compilers/concrete-compiler/compiler/lib/ServerLib/ServerLib.cpp
@@ -16,6 +16,7 @@
 #include "concretelang/Common/Protocol.h"
 #include "concretelang/Common/Transformers.h"
 #include "concretelang/Common/Values.h"
+#include "concretelang/Runtime/DFRuntime.hpp"
 #include "concretelang/Runtime/context.h"
 #include "concretelang/ServerLib/ServerLib.h"
 #include "concretelang/Support/CompilerEngine.h"
@@ -355,6 +356,7 @@ DynamicModule::open(const std::string &sharedLibPath) {
   if (!module->libraryHandle) {
     return StringError("Cannot open shared library ") << dlerror();
   }
+  mlir::concretelang::dfr::_dfr_register_lib(module->libraryHandle);
   return module;
 }
 
@@ -430,6 +432,13 @@ bool getGateIsSigned(const Message<concreteprotocol::GateInfo> &gateInfo) {
 Result<std::vector<TransportValue>>
 ServerCircuit::call(const ServerKeyset &serverKeyset,
                     std::vector<TransportValue> &args) {
+  std::vector<TransportValue> returns(returnsBuffer.size());
+  mlir::concretelang::dfr::_dfr_register_lib(dynamicModule->libraryHandle);
+  if (!mlir::concretelang::dfr::_dfr_is_root_node()) {
+    mlir::concretelang::dfr::_dfr_run_remote_scheduler();
+    return returns;
+  }
+
   if (args.size() != argsBuffer.size()) {
     return StringError("Called circuit with wrong number of arguments");
   }
@@ -444,7 +453,6 @@ ServerCircuit::call(const ServerKeyset &serverKeyset,
   invoke(serverKeyset);
 
   // We process the return values to turn them into transport values.
-  std::vector<TransportValue> returns(returnsBuffer.size());
   for (size_t i = 0; i < returnsBuffer.size(); i++) {
     OUTCOME_TRY(returns[i], returnTransformers[i](returnsBuffer[i]));
   }
diff --git a/compilers/concrete-compiler/compiler/lib/Support/CompilerEngine.cpp b/compilers/concrete-compiler/compiler/lib/Support/CompilerEngine.cpp
index 3260d920f..158a1df15 100644
--- a/compilers/concrete-compiler/compiler/lib/Support/CompilerEngine.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Support/CompilerEngine.cpp
@@ -63,14 +63,10 @@
 #include "concretelang/Support/LLVMEmitFile.h"
 #include "concretelang/Support/Pipeline.h"
 #include "concretelang/Support/Utils.h"
+#include <concretelang/Runtime/GPUDFG.hpp>
 
 namespace mlir {
 namespace concretelang {
-// TODO: should be removed when bufferization is not related to CAPI lowering
-// Control whether we should call a cpu of gpu function when lowering
-// to CAPI
-static bool EMIT_GPU_OPS;
-bool getEmitGPUOption() { return EMIT_GPU_OPS; }
 
 /// Creates a new compilation context that can be shared across
 /// compilation engines and results
@@ -297,9 +293,6 @@ CompilerEngine::compile(mlir::ModuleOp moduleOp, Target target,
 
   mlir::MLIRContext &mlirContext = *this->compilationContext->getMLIRContext();
 
-  // enable/disable usage of gpu functions during bufferization
-  EMIT_GPU_OPS = options.emitGPUOps;
-
   auto dataflowParallelize =
       options.autoParallelize || options.dataflowParallelize;
   auto loopParallelize = options.autoParallelize || options.loopParallelize;
@@ -307,6 +300,56 @@ CompilerEngine::compile(mlir::ModuleOp moduleOp, Target target,
   if (loopParallelize)
     mlir::concretelang::dfr::_dfr_set_use_omp(true);
 
+  // Sanity checks for enabling GPU usage: the compiler must have been
+  // compiled with Cuda support (especially important when building
+  // python wheels), and at least one device must be available to
+  // execute on.
+  if (options.emitGPUOps) {
+    // If this compiler is not compiled using Cuda support, then
+    // requesting GPU is forbidden - instead of a hard error, issue a
+    // warning and disable the GPU option.
+    if (!mlir::concretelang::gpu_dfg::check_cuda_runtime_enabled()) {
+      // Allow compilation to complete if only code generation is expected.
+      if (target != Target::LIBRARY) {
+        warnx("This instance of the Concrete compiler does not support GPU "
+              "acceleration."
+              " Allowing code generation to proceed, but execution will not be "
+              "possible.");
+      } else {
+        warnx("This instance of the Concrete compiler does not support GPU "
+              "acceleration."
+              " If you are using Concrete-Python, it means that the module "
+              "installed is not GPU enabled.\n"
+              "Continuing without GPU acceleration.");
+        options.emitGPUOps = false;
+        options.emitSDFGOps = false;
+        options.batchTFHEOps = false;
+      }
+    } else {
+      // Ensure that at least one Cuda device is available if GPU option
+      // is used
+      if (!mlir::concretelang::gpu_dfg::check_cuda_device_available()) {
+        warnx("No Cuda device available on this system (either not present or "
+              "the driver is not online).\n"
+              "Continuing without GPU acceleration.");
+        options.emitGPUOps = false;
+        options.emitSDFGOps = false;
+        options.batchTFHEOps = false;
+      }
+    }
+
+    // Finally for now we cannot allow dataflow parallelization at the
+    // same time as GPU usage.  This restriction will be relaxed later.
+    if (dataflowParallelize) {
+      warnx("Dataflow parallelization and GPU offloading have both been "
+            "requested.  This is not currently supported.  Continuing without "
+            "dataflow parallelization.");
+      dataflowParallelize = false;
+    }
+  }
+
+  // If dataflow parallelization will proceed, mark it for
+  // initialising the runtime
   if (dataflowParallelize)
     mlir::concretelang::dfr::_dfr_set_required(true);
 
@@ -594,8 +637,11 @@ CompilerEngine::compile(mlir::ModuleOp moduleOp, Target target,
     }
   }
 
+  // Restrict direct lowering when already generating GPU code through
+  // the SDFG dialect.
+  bool lowerDirectlyToGPUOps = (options.emitGPUOps && !options.emitSDFGOps);
   if (mlir::concretelang::pipeline::lowerToCAPI(mlirContext, module, enablePass,
-                                                options.emitGPUOps)
+                                                lowerDirectlyToGPUOps)
           .failed()) {
     return StreamStringError("Failed to lower to CAPI");
   }
diff --git a/compilers/concrete-compiler/compiler/lib/Support/Pipeline.cpp b/compilers/concrete-compiler/compiler/lib/Support/Pipeline.cpp
index caae41a35..56b1fea75 100644
--- a/compilers/concrete-compiler/compiler/lib/Support/Pipeline.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Support/Pipeline.cpp
@@ -47,8 +47,10 @@
 #include "concretelang/Dialect/FHELinalg/Transforms/Tiling.h"
 #include "concretelang/Dialect/RT/Analysis/Autopar.h"
 #include "concretelang/Dialect/RT/Transforms/Passes.h"
+#include "concretelang/Dialect/SDFG/Transforms/Passes.h"
 #include "concretelang/Dialect/TFHE/Analysis/ExtractStatistics.h"
 #include "concretelang/Dialect/TFHE/Transforms/Transforms.h"
+#include "concretelang/Runtime/utils.h"
 #include "concretelang/Support/CompilerEngine.h"
 #include "concretelang/Support/Error.h"
 #include "concretelang/Support/Pipeline.h"
@@ -361,6 +363,7 @@ mlir::LogicalResult batchTFHE(mlir::MLIRContext &context,
       pm, mlir::concretelang::createCollapseParallelLoops(), enablePass);
   addPotentiallyNestedPass(
       pm, mlir::concretelang::createBatchingPass(maxBatchSize), enablePass);
+  addPotentiallyNestedPass(pm, mlir::createCanonicalizerPass(), enablePass);
 
   return pm.run(module.getOperation());
 }
@@ -569,6 +572,8 @@ mlir::LogicalResult lowerToStd(mlir::MLIRContext &context,
                            enablePass);
   addPotentiallyNestedPass(
       pm, mlir::concretelang::createFixupBufferDeallocationPass(), enablePass);
+  addPotentiallyNestedPass(
+      pm, mlir::concretelang::createSDFGBufferOwnershipPass(), enablePass);
 
   return pm.run(module);
 }
@@ -610,8 +615,7 @@ std::unique_ptr<llvm::Module>
 lowerLLVMDialectToLLVMIR(mlir::MLIRContext &context,
                          llvm::LLVMContext &llvmContext,
                          mlir::ModuleOp &module) {
-  llvm::InitializeNativeTarget();
-  llvm::InitializeNativeTargetAsmPrinter();
+  mlir::concretelang::LLVMInitializeNativeTarget();
   mlir::registerLLVMDialectTranslation(*module->getContext());
   mlir::registerOpenMPDialectTranslation(*module->getContext());
 
diff --git a/compilers/concrete-compiler/compiler/lib/Transforms/ForLoopToParallel.cpp b/compilers/concrete-compiler/compiler/lib/Transforms/ForLoopToParallel.cpp
index dcbdfa028..104ee0092 100644
--- a/compilers/concrete-compiler/compiler/lib/Transforms/ForLoopToParallel.cpp
+++ b/compilers/concrete-compiler/compiler/lib/Transforms/ForLoopToParallel.cpp
@@ -23,39 +23,26 @@ public:
   matchAndRewrite(mlir::scf::ForOp forOp,
                   mlir::PatternRewriter &rewriter) const override {
     auto attr = forOp->getAttrOfType<mlir::BoolAttr>("parallel");
-    if (attr == nullptr) {
+
+    if (!attr || !attr.getValue()) {
       return mlir::failure();
     }
+
     assert(forOp.getRegionIterArgs().size() == 0 &&
            "unexpecting iter args when loops are bufferized");
-    if (attr.getValue()) {
-      rewriter.replaceOpWithNewOp<mlir::scf::ParallelOp>(
-          forOp, mlir::ValueRange{forOp.getLowerBound()},
-          mlir::ValueRange{forOp.getUpperBound()}, forOp.getStep(),
-          std::nullopt,
-          [&](mlir::OpBuilder &builder, mlir::Location location,
-              mlir::ValueRange indVar, mlir::ValueRange iterArgs) {
-            mlir::IRMapping map;
-            map.map(forOp.getInductionVar(), indVar.front());
-            for (auto &op : forOp.getRegion().front()) {
-              auto newOp = builder.clone(op, map);
-              map.map(op.getResults(), newOp->getResults());
-            }
-          });
-    } else {
-      rewriter.replaceOpWithNewOp<mlir::scf::ForOp>(
-          forOp, forOp.getLowerBound(), forOp.getUpperBound(), forOp.getStep(),
-          std::nullopt,
-          [&](mlir::OpBuilder &builder, mlir::Location location,
-              mlir::Value indVar, mlir::ValueRange iterArgs) {
-            mlir::IRMapping map;
-            map.map(forOp.getInductionVar(), indVar);
-            for (auto &op : forOp.getRegion().front()) {
-              auto newOp = builder.clone(op, map);
-              map.map(op.getResults(), newOp->getResults());
-            }
-          });
-    }
+
+    rewriter.replaceOpWithNewOp<mlir::scf::ParallelOp>(
+        forOp, mlir::ValueRange{forOp.getLowerBound()},
+        mlir::ValueRange{forOp.getUpperBound()}, forOp.getStep(), std::nullopt,
+        [&](mlir::OpBuilder &builder, mlir::Location location,
+            mlir::ValueRange indVar, mlir::ValueRange iterArgs) {
+          mlir::IRMapping map;
+          map.map(forOp.getInductionVar(), indVar.front());
+          for (auto &op : forOp.getRegion().front()) {
+            auto newOp = builder.clone(op, map);
+            map.map(op.getResults(), newOp->getResults());
+          }
+        });
 
     return mlir::success();
   }
diff --git a/compilers/concrete-compiler/compiler/tests/check_tests/Transforms/batching.mlir b/compilers/concrete-compiler/compiler/tests/check_tests/Transforms/batching.mlir
index 814dc7bde..fe7860849 100644
--- a/compilers/concrete-compiler/compiler/tests/check_tests/Transforms/batching.mlir
+++ b/compilers/concrete-compiler/compiler/tests/check_tests/Transforms/batching.mlir
@@ -122,8 +122,7 @@ func.func @batch_offset_extract_keyswitch(%arg0: tensor<99x2x3x4x99x99x!TFHE.glw
   %c97 = arith.constant 97 : index
 
   %0 = bufferization.alloc_tensor() : tensor<2x3x4x!TFHE.glwe<sk<1,1,750>>>
-  // CHECK: %[[VDROP1DIMS:.*]] = tensor.collapse_shape [[ARG:.*]] {{\[\[0, 1\], \[2\], \[3, 4, 5\]\]}} : tensor<1x2x3x4x1x1x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>> into tensor<2x3x4x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>>
-  // CHECK: %[[V0:.*]] = tensor.collapse_shape %[[VDROP1DIMS]] {{\[\[0, 1, 2\]\]}} : tensor<2x3x4x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>> into tensor<24x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>>
+  // CHECK: %[[V0:.*]] = tensor.collapse_shape %[[SLICE:.*]] {{\[\[0, 1, 2, 3, 4, 5\]\]}} : tensor<1x2x3x4x1x1x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>> into tensor<24x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>>
   // CHECK: %[[V1:.*]] = "TFHE.batched_keyswitch_glwe"(%[[V0]]) {key = #TFHE<ksk{{\[}}[[KSK:.*]]{{\]}}<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>, sk{{\[}}[[SK_OUT]]{{\]}}<1,750>, 3, 4>>} : (tensor<24x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>>) -> tensor<24x!TFHE.glwe<sk{{\[}}[[SK_OUT]]{{\]}}<1,750>>>
   // CHECK: %[[V2:.*]] = tensor.expand_shape %[[V1]] {{\[\[0, 1, 2\]\]}} : tensor<24x!TFHE.glwe<sk{{\[}}[[SK_OUT]]{{\]}}<1,750>>> into tensor<2x3x4x!TFHE.glwe<sk{{\[}}[[SK_OUT]]{{\]}}<1,750>>>
   // CHECK: return %[[V2]]
@@ -161,8 +160,7 @@ func.func @batch_offset_shifted_bounds_nonunitstep_extract_keyswitch(%arg0: tens
   %0 = bufferization.alloc_tensor() : tensor<2x2x2x!TFHE.glwe<sk<1,1,750>>>
 
   // CHECK: %[[V1:.*]] = tensor.extract_slice %arg0{{\[0, 3, 7, 9, 97, 1\] \[1, 2, 2, 2, 1, 1\] \[1, 2, 1, 7, 1, 1\]}} : tensor<99x20x30x40x99x99x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>> to tensor<1x2x2x2x1x1x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>>
-  // CHECK-NEXT: %[[V2:.*]] = tensor.collapse_shape %[[V1]] {{\[\[0, 1\], \[2\], \[3, 4, 5\]\]}} : tensor<1x2x2x2x1x1x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>> into tensor<2x2x2x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>>
-  // CHECK-NEXT: %[[V3:.*]] = tensor.collapse_shape %[[V2]] {{\[\[0, 1, 2\]\]}} : tensor<2x2x2x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>> into tensor<8x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>>
+  // CHECK-NEXT: %[[V3:.*]] = tensor.collapse_shape %[[V1]] {{\[\[0, 1, 2, 3, 4, 5\]\]}} : tensor<1x2x2x2x1x1x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>> into tensor<8x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>>
   // CHECK-NEXT: %[[V4:.*]] = "TFHE.batched_keyswitch_glwe"(%[[V3]]) {key = #TFHE<ksk{{\[}}[[KSK:.*]]{{\]}}<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>, sk{{\[}}[[SK_OUT]]{{\]}}<1,750>, 3, 4>>} : (tensor<8x!TFHE.glwe<sk{{\[}}[[SK_IN]]{{\]}}<1,2048>>>) -> tensor<8x!TFHE.glwe<sk{{\[}}[[SK_OUT]]{{\]}}<1,750>>>
   // CHECK-NEXT: %[[V5:.*]] = tensor.expand_shape %[[V4]] {{\[\[0, 1, 2\]\]}} : tensor<8x!TFHE.glwe<sk{{\[}}[[SK_OUT]]{{\]}}<1,750>>> into tensor<2x2x2x!TFHE.glwe<sk{{\[}}[[SK_OUT]]{{\]}}<1,750>>>
   // CHECK-NEXT: return %[[V5]] : tensor<2x2x2x!TFHE.glwe<sk{{\[}}[[SK_OUT]]{{\]}}<1,750>>>
diff --git a/compilers/concrete-compiler/compiler/tests/check_tests/Transforms/scf-to-parallel.mlir b/compilers/concrete-compiler/compiler/tests/check_tests/Transforms/scf-to-parallel.mlir
new file mode 100644
index 000000000..9db817673
--- /dev/null
+++ b/compilers/concrete-compiler/compiler/tests/check_tests/Transforms/scf-to-parallel.mlir
@@ -0,0 +1,18 @@
+// RUN: concretecompiler --split-input-file --action=dump-std --parallelize --parallelize-loops --skip-program-info --passes=for-loop-to-parallel --skip-program-info %s 2>&1| FileCheck %s
+
+func.func @bar() -> () {
+  %c0 = arith.constant 0 : index
+  %c1 = arith.constant 1 : index
+  %c4 = arith.constant 4 : index
+  %i0 = arith.constant 0 : i32
+  %i1 = arith.constant 1 : i32
+
+  // CHECK-NOT: scf.parallel
+  %0 = scf.for %iv = %c0 to %c4 step %c1 iter_args(%ia = %i0) -> i32 {
+    "Tracing.trace_plaintext"(%i0) : (i32) -> ()
+    %yld = arith.addi %ia, %i1 : i32
+    scf.yield %yld : i32
+  } {"parallel" = false }
+  
+  return
+}
diff --git a/compilers/concrete-compiler/compiler/tests/end_to_end_benchmarks/end_to_end_benchmark.cpp b/compilers/concrete-compiler/compiler/tests/end_to_end_benchmarks/end_to_end_benchmark.cpp
index 897f3e8eb..cadc37eff 100644
--- a/compilers/concrete-compiler/compiler/tests/end_to_end_benchmarks/end_to_end_benchmark.cpp
+++ b/compilers/concrete-compiler/compiler/tests/end_to_end_benchmarks/end_to_end_benchmark.cpp
@@ -54,15 +54,13 @@ static void BM_ExportArguments(benchmark::State &state,
   inputArguments.reserve(test.inputs.size());
 
   auto client = tc.getClientCircuit().value();
-  if (mlir::concretelang::dfr::_dfr_is_root_node()) {
-    for (auto _ : state) {
-      for (size_t i = 0; i < test.inputs.size(); i++) {
-        auto input = client.prepareInput(test.inputs[i].getValue(), i).value();
-        inputArguments.push_back(input);
-      }
+  for (auto _ : state) {
+    for (size_t i = 0; i < test.inputs.size(); i++) {
+      auto input = client.prepareInput(test.inputs[i].getValue(), i).value();
+      inputArguments.push_back(input);
     }
-    inputArguments.resize(0);
   }
+  inputArguments.resize(0);
 }
 
 /// Benchmark time of the program evaluation
@@ -78,12 +76,10 @@ static void BM_Evaluate(benchmark::State &state, EndToEndDesc description,
   auto inputArguments = std::vector<TransportValue>();
   inputArguments.reserve(test.inputs.size());
 
-  if (mlir::concretelang::dfr::_dfr_is_root_node()) {
-    for (size_t i = 0; i < test.inputs.size(); i++) {
-      auto input =
-          clientCircuit.prepareInput(test.inputs[i].getValue(), i).value();
-      inputArguments.push_back(input);
-    }
+  for (size_t i = 0; i < test.inputs.size(); i++) {
+    auto input =
+        clientCircuit.prepareInput(test.inputs[i].getValue(), i).value();
+    inputArguments.push_back(input);
   }
 
   auto serverCircuit = tc.getServerCircuit().value();
diff --git a/compilers/concrete-compiler/compiler/tests/end_to_end_fixture/tests_cpu/end_to_end_linalg_enc_enc_matmul_dot.yaml b/compilers/concrete-compiler/compiler/tests/end_to_end_fixture/tests_cpu/end_to_end_linalg_enc_enc_matmul_dot.yaml
index f9ab05a30..645bbd72e 100644
--- a/compilers/concrete-compiler/compiler/tests/end_to_end_fixture/tests_cpu/end_to_end_linalg_enc_enc_matmul_dot.yaml
+++ b/compilers/concrete-compiler/compiler/tests/end_to_end_fixture/tests_cpu/end_to_end_linalg_enc_enc_matmul_dot.yaml
@@ -26,14 +26,14 @@ program: |
 p-error: 1e-06
 tests:
   - inputs: 
-    - tensor: [-2, -1, -1, -2, -2, -1, -1, -1, -1, -1, -2, -1, -1, -1, -2, -2, -1, -1, -1, -1, -2, -2, -2, -2]
+    - tensor: [-1, -1, -2, -2, -1, -2, -2, -1, -2, -1, -2, -1, -1, -2, -2, -2, -2, -1, -2, -1, -1, -2, -1, -1]
       shape: [2,3,4]
       signed: True
-    - tensor: [-2, -1, -2, -1, -1, -1, -2, -2, -1, -2, -2, -1, -1, -1, -2, -1]
+    - tensor: [-1, -1, -1, -1, -2, -2, -1, -1, -1, -1, -2, -2, -1, -2, -1, -2]
       shape: [2,4,2]
       signed: True
     outputs:
-    - tensor: [11, 8, 9, 6, 8, 6, 9, 7, 6, 5, 12, 10]
+    - tensor: [8, 8, 8, 8, 8, 8, 9, 13, 7, 10, 7, 9]
       shape: [2,3,2]
       signed: True
 ---
@@ -63,14 +63,14 @@ program: |
 p-error: 1e-06
 tests:
   - inputs: 
-    - tensor: [-1, -2, -2, -1, -2, -1, -2, -2, -1, -1, -1, -1]
+    - tensor: [-2, -1, -1, -1, -1, -2, -1, -1, -1, -1, -2, -2]
       shape: [3,4]
       signed: True
-    - tensor: [-2, -2, -2, -1, -1, -2, -1, -1]
+    - tensor: [-2, -2, -1, -1, -1, -2, -2, -2]
       shape: [4,2]
       signed: True
     outputs:
-    - tensor: [9, 9, 10, 11, 6, 6]
+    - tensor: [8, 9, 7, 8, 9, 11]
       shape: [3,2]
       signed: True
 ---
@@ -100,14 +100,14 @@ program: |
 p-error: 1e-06
 tests:
   - inputs: 
-    - tensor: [-1, -2, -1]
+    - tensor: [-1, -2, -2]
       shape: [3]
       signed: True
-    - tensor: [-2, -1, -2, -2, -2, -2, -2, -1, -1, -1, -2, -2, -2, -2, -2, -1, -2, -2, -1, -1, -1, -2, -2, -1]
+    - tensor: [-2, -2, -1, -2, -1, -1, -2, -1, -2, -2, -1, -2, -2, -2, -2, -1, -1, -2, -1, -1, -1, -1, -2, -1]
       shape: [4,3,2]
       signed: True
     outputs:
-    - tensor: [8, 7, 6, 5, 8, 6, 5, 6]
+    - tensor: [6, 8, 8, 9, 8, 8, 7, 5]
       shape: [4,2]
       signed: True
 ---
@@ -137,14 +137,14 @@ program: |
 p-error: 1e-06
 tests:
   - inputs: 
-    - tensor: [-1, -2, -1, -2, -2, -2, -2, -1, -2, -2, -2, -2, -1, -2, -1, -1, -2, -2, -1, -1, -2, -2, -2, -2]
+    - tensor: [-2, -1, -1, -2, -2, -1, -1, -2, -1, -2, -2, -2, -1, -2, -2, -2, -2, -1, -1, -2, -2, -2, -1, -1]
       shape: [2,3,4]
       signed: True
-    - tensor: [-1, -2, -1, -1]
+    - tensor: [-2, -2, -2, -2]
       shape: [4]
       signed: True
     outputs:
-    - tensor: [8, 9, 10, 7, 8, 10]
+    - tensor: [12, 12, 14, 14, 12, 12]
       shape: [2,3]
       signed: True
 ---
@@ -174,14 +174,14 @@ program: |
 p-error: 1e-06
 tests:
   - inputs: 
-    - tensor: [-2, -1, -2, -1, -1, -1, -2, -2, -2, -2, -2, -1, -2, -1, -2, -1, -1, -1, -1, -2, -2, -1, -2, -2]
+    - tensor: [-2, -2, -2, -1, -1, -1, -2, -1, -1, -2, -2, -2, -1, -1, -2, -2, -2, -1, -1, -1, -1, -2, -1, -2]
       shape: [2,1,3,4]
       signed: True
-    - tensor: [-2, -1, -2, -2, -2, -1, -1, -1, -2, -2, -1, -1, -2, -2, -2, -1, -2, -1, -2, -2, -2, -1, -2, -2, -1, -2, -2, -2, -2, -2, -1, -1, -1, -2, -2, -1, -2, -1, -1, -1]
+    - tensor: [-2, -1, -2, -1, -2, -2, -1, -2, -1, -2, -2, -2, -2, -2, -1, -2, -1, -1, -1, -2, -2, -1, -2, -2, -2, -2, -2, -1, -2, -1, -1, -2, -1, -2, -1, -1, -1, -1, -2, -1]
       shape: [5,4,2]
       signed: True
     outputs:
-    - tensor: [11, 7, 10, 7, 13, 9, 11, 10, 11, 9, 12, 11, 12, 8, 12, 9, 14, 10, 9, 11, 9, 10, 11, 13, 9, 8, 9, 7, 11, 9, 11, 7, 8, 6, 12, 8, 11, 10, 9, 7, 13, 11, 12, 8, 10, 8, 14, 10, 9, 11, 7, 8, 10, 12, 9, 8, 7, 6, 10, 9]
+    - tensor: [13, 10, 9, 8, 12, 11, 11, 14, 8, 10, 11, 14, 10, 10, 8, 7, 11, 11, 13, 10, 9, 7, 12, 10, 8, 9, 6, 6, 9, 8, 10, 10, 9, 7, 10, 9, 9, 12, 7, 10, 9, 12, 10, 9, 7, 7, 9, 10, 10, 9, 9, 8, 10, 9, 8, 7, 6, 7, 8, 7]
       shape: [2,5,3,2]
       signed: True
 ---
@@ -212,10 +212,10 @@ program: |
 p-error: 1e-06
 tests:
   - inputs: 
-    - tensor: [-1, -2, -2]
+    - tensor: [-2, -2, -1]
       shape: [3]
       signed: True
-    - tensor: [-1, -1, -2]
+    - tensor: [-2, -1, -1]
       shape: [3]
       signed: True
     outputs:
diff --git a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/CMakeLists.txt b/compilers/concrete-compiler/compiler/tests/end_to_end_tests/CMakeLists.txt
index 16cf5b4e3..1fa662fde 100644
--- a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/CMakeLists.txt
+++ b/compilers/concrete-compiler/compiler/tests/end_to_end_tests/CMakeLists.txt
@@ -28,9 +28,3 @@ add_concretecompiler_unittest(end_to_end_jit_test end_to_end_jit_test.cc globals
 add_concretecompiler_unittest(end_to_end_test end_to_end_test.cc globals.cc)
 
 add_concretecompiler_unittest(end_to_end_jit_lambda end_to_end_jit_lambda.cc globals.cc)
-
-if(CONCRETELANG_DATAFLOW_EXECUTION_ENABLED)
-  add_concretecompiler_unittest(end_to_end_jit_auto_parallelization end_to_end_jit_auto_parallelization.cc globals.cc)
-  add_concretecompiler_unittest(end_to_end_jit_distributed end_to_end_jit_distributed.cc globals.cc)
-  add_concretecompiler_unittest(end_to_end_jit_aes_short end_to_end_jit_aes_short.cc globals.cc)
-endif()
diff --git a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_aes_short.cc b/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_aes_short.cc
deleted file mode 100644
index d14a74aa3..000000000
--- a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_aes_short.cc
+++ /dev/null
@@ -1,2741 +0,0 @@
-#include <concretelang/Runtime/DFRuntime.hpp>
-#include <cstdint>
-#include <gtest/gtest.h>
-#include <tuple>
-#include <type_traits>
-
-#include "concretelang/TestLib/TestProgram.h"
-#include "end_to_end_jit_test.h"
-#include "tests_tools/GtestEnvironment.h"
-std::vector<uint64_t> distributed_results;
-
-TEST(AES, aes_df) {
-  checkedJit(lambda, R"XXX(
-module  {
-  func.func @main(%arg0: tensor<176x!FHE.eint<8>>, %arg1: tensor<176x!FHE.eint<8>>, %arg2: tensor<16x!FHE.eint<8>>) -> tensor<16x!FHE.eint<8>> {
-    %cst = arith.constant dense<0> : tensor<1xi9>
-    %cst_0 = arith.constant dense<0> : tensor<1xi9>
-    %cst_1 = arith.constant dense<0> : tensor<1xi9>
-    %cst_2 = arith.constant dense<0> : tensor<1xi9>
-    %cst_3 = arith.constant dense<0> : tensor<1xi9>
-    %cst_4 = arith.constant dense<0> : tensor<1xi9>
-    %cst_5 = arith.constant dense<0> : tensor<1xi9>
-    %cst_6 = arith.constant dense<0> : tensor<1xi9>
-    %cst_7 = arith.constant dense<0> : tensor<1xi9>
-    %cst_8 = arith.constant dense<0> : tensor<1xi9>
-    %cst_9 = arith.constant dense<0> : tensor<1xi9>
-    %cst_10 = arith.constant dense<0> : tensor<1xi9>
-    %cst_11 = arith.constant dense<0> : tensor<1xi9>
-    %cst_12 = arith.constant dense<0> : tensor<1xi9>
-    %cst_13 = arith.constant dense<0> : tensor<1xi9>
-    %cst_14 = arith.constant dense<0> : tensor<1xi9>
-    %c16_i9 = arith.constant 16 : i9
-    %c16_i9_15 = arith.constant 16 : i9
-    %c16_i9_16 = arith.constant 16 : i9
-    %c16_i9_17 = arith.constant 16 : i9
-    %c16_i9_18 = arith.constant 16 : i9
-    %c16_i9_19 = arith.constant 16 : i9
-    %c16_i9_20 = arith.constant 16 : i9
-    %c16_i9_21 = arith.constant 16 : i9
-    %c16_i9_22 = arith.constant 16 : i9
-    %c16_i9_23 = arith.constant 16 : i9
-    %c16_i9_24 = arith.constant 16 : i9
-    %c16_i9_25 = arith.constant 16 : i9
-    %c16_i9_26 = arith.constant 16 : i9
-    %c16_i9_27 = arith.constant 16 : i9
-    %c16_i9_28 = arith.constant 16 : i9
-    %c16_i9_29 = arith.constant 16 : i9
-    %c16_i9_30 = arith.constant 16 : i9
-    %c16_i9_31 = arith.constant 16 : i9
-    %c16_i9_32 = arith.constant 16 : i9
-    %c16_i9_33 = arith.constant 16 : i9
-    %c16_i9_34 = arith.constant 16 : i9
-    %c16_i9_35 = arith.constant 16 : i9
-    %c16_i9_36 = arith.constant 16 : i9
-    %c16_i9_37 = arith.constant 16 : i9
-    %c16_i9_38 = arith.constant 16 : i9
-    %c16_i9_39 = arith.constant 16 : i9
-    %c16_i9_40 = arith.constant 16 : i9
-    %c16_i9_41 = arith.constant 16 : i9
-    %c16_i9_42 = arith.constant 16 : i9
-    %c16_i9_43 = arith.constant 16 : i9
-    %c16_i9_44 = arith.constant 16 : i9
-    %c16_i9_45 = arith.constant 16 : i9
-    %c16_i9_46 = arith.constant 16 : i9
-    %c16_i9_47 = arith.constant 16 : i9
-    %c16_i9_48 = arith.constant 16 : i9
-    %c16_i9_49 = arith.constant 16 : i9
-    %c16_i9_50 = arith.constant 16 : i9
-    %c16_i9_51 = arith.constant 16 : i9
-    %c16_i9_52 = arith.constant 16 : i9
-    %c16_i9_53 = arith.constant 16 : i9
-    %c16_i9_54 = arith.constant 16 : i9
-    %c16_i9_55 = arith.constant 16 : i9
-    %c16_i9_56 = arith.constant 16 : i9
-    %c16_i9_57 = arith.constant 16 : i9
-    %c16_i9_58 = arith.constant 16 : i9
-    %c16_i9_59 = arith.constant 16 : i9
-    %c16_i9_60 = arith.constant 16 : i9
-    %c16_i9_61 = arith.constant 16 : i9
-    %c16_i9_62 = arith.constant 16 : i9
-    %c16_i9_63 = arith.constant 16 : i9
-    %c16_i9_64 = arith.constant 16 : i9
-    %c16_i9_65 = arith.constant 16 : i9
-    %c16_i9_66 = arith.constant 16 : i9
-    %c16_i9_67 = arith.constant 16 : i9
-    %c16_i9_68 = arith.constant 16 : i9
-    %c16_i9_69 = arith.constant 16 : i9
-    %c16_i9_70 = arith.constant 16 : i9
-    %c16_i9_71 = arith.constant 16 : i9
-    %c16_i9_72 = arith.constant 16 : i9
-    %c16_i9_73 = arith.constant 16 : i9
-    %c16_i9_74 = arith.constant 16 : i9
-    %c16_i9_75 = arith.constant 16 : i9
-    %c16_i9_76 = arith.constant 16 : i9
-    %c16_i9_77 = arith.constant 16 : i9
-    %c16_i9_78 = arith.constant 16 : i9
-    %c16_i9_79 = arith.constant 16 : i9
-    %c16_i9_80 = arith.constant 16 : i9
-    %c16_i9_81 = arith.constant 16 : i9
-    %c16_i9_82 = arith.constant 16 : i9
-    %c16_i9_83 = arith.constant 16 : i9
-    %c16_i9_84 = arith.constant 16 : i9
-    %c16_i9_85 = arith.constant 16 : i9
-    %c16_i9_86 = arith.constant 16 : i9
-    %c16_i9_87 = arith.constant 16 : i9
-    %c16_i9_88 = arith.constant 16 : i9
-    %c16_i9_89 = arith.constant 16 : i9
-    %c16_i9_90 = arith.constant 16 : i9
-    %c16_i9_91 = arith.constant 16 : i9
-    %c16_i9_92 = arith.constant 16 : i9
-    %c16_i9_93 = arith.constant 16 : i9
-    %c16_i9_94 = arith.constant 16 : i9
-    %c16_i9_95 = arith.constant 16 : i9
-    %c16_i9_96 = arith.constant 16 : i9
-    %c16_i9_97 = arith.constant 16 : i9
-    %c16_i9_98 = arith.constant 16 : i9
-    %c16_i9_99 = arith.constant 16 : i9
-    %c16_i9_100 = arith.constant 16 : i9
-    %c16_i9_101 = arith.constant 16 : i9
-    %c16_i9_102 = arith.constant 16 : i9
-    %c16_i9_103 = arith.constant 16 : i9
-    %c16_i9_104 = arith.constant 16 : i9
-    %c16_i9_105 = arith.constant 16 : i9
-    %c16_i9_106 = arith.constant 16 : i9
-    %c16_i9_107 = arith.constant 16 : i9
-    %c16_i9_108 = arith.constant 16 : i9
-    %c16_i9_109 = arith.constant 16 : i9
-    %c16_i9_110 = arith.constant 16 : i9
-    %c16_i9_111 = arith.constant 16 : i9
-    %c16_i9_112 = arith.constant 16 : i9
-    %c16_i9_113 = arith.constant 16 : i9
-    %c16_i9_114 = arith.constant 16 : i9
-    %c16_i9_115 = arith.constant 16 : i9
-    %c16_i9_116 = arith.constant 16 : i9
-    %c16_i9_117 = arith.constant 16 : i9
-    %c16_i9_118 = arith.constant 16 : i9
-    %c16_i9_119 = arith.constant 16 : i9
-    %c16_i9_120 = arith.constant 16 : i9
-    %c16_i9_121 = arith.constant 16 : i9
-    %c16_i9_122 = arith.constant 16 : i9
-    %c16_i9_123 = arith.constant 16 : i9
-    %c16_i9_124 = arith.constant 16 : i9
-    %c16_i9_125 = arith.constant 16 : i9
-    %c16_i9_126 = arith.constant 16 : i9
-    %c16_i9_127 = arith.constant 16 : i9
-    %c16_i9_128 = arith.constant 16 : i9
-    %c16_i9_129 = arith.constant 16 : i9
-    %c16_i9_130 = arith.constant 16 : i9
-    %c16_i9_131 = arith.constant 16 : i9
-    %c16_i9_132 = arith.constant 16 : i9
-    %c16_i9_133 = arith.constant 16 : i9
-    %c16_i9_134 = arith.constant 16 : i9
-    %c16_i9_135 = arith.constant 16 : i9
-    %c16_i9_136 = arith.constant 16 : i9
-    %c16_i9_137 = arith.constant 16 : i9
-    %c16_i9_138 = arith.constant 16 : i9
-    %c16_i9_139 = arith.constant 16 : i9
-    %c16_i9_140 = arith.constant 16 : i9
-    %c16_i9_141 = arith.constant 16 : i9
-    %c16_i9_142 = arith.constant 16 : i9
-    %c16_i9_143 = arith.constant 16 : i9
-    %c16_i9_144 = arith.constant 16 : i9
-    %c16_i9_145 = arith.constant 16 : i9
-    %c16_i9_146 = arith.constant 16 : i9
-    %c16_i9_147 = arith.constant 16 : i9
-    %c16_i9_148 = arith.constant 16 : i9
-    %c16_i9_149 = arith.constant 16 : i9
-    %c16_i9_150 = arith.constant 16 : i9
-    %c16_i9_151 = arith.constant 16 : i9
-    %c16_i9_152 = arith.constant 16 : i9
-    %c16_i9_153 = arith.constant 16 : i9
-    %c16_i9_154 = arith.constant 16 : i9
-    %c16_i9_155 = arith.constant 16 : i9
-    %c16_i9_156 = arith.constant 16 : i9
-    %c16_i9_157 = arith.constant 16 : i9
-    %c16_i9_158 = arith.constant 16 : i9
-    %c16_i9_159 = arith.constant 16 : i9
-    %c16_i9_160 = arith.constant 16 : i9
-    %c16_i9_161 = arith.constant 16 : i9
-    %c16_i9_162 = arith.constant 16 : i9
-    %c16_i9_163 = arith.constant 16 : i9
-    %c16_i9_164 = arith.constant 16 : i9
-    %c16_i9_165 = arith.constant 16 : i9
-    %c16_i9_166 = arith.constant 16 : i9
-    %c16_i9_167 = arith.constant 16 : i9
-    %c16_i9_168 = arith.constant 16 : i9
-    %c16_i9_169 = arith.constant 16 : i9
-    %c16_i9_170 = arith.constant 16 : i9
-    %c16_i9_171 = arith.constant 16 : i9
-    %c16_i9_172 = arith.constant 16 : i9
-    %c16_i9_173 = arith.constant 16 : i9
-    %c16_i9_174 = arith.constant 16 : i9
-    %c16_i9_175 = arith.constant 16 : i9
-    %c16_i9_176 = arith.constant 16 : i9
-    %c16_i9_177 = arith.constant 16 : i9
-    %c16_i9_178 = arith.constant 16 : i9
-    %c16_i9_179 = arith.constant 16 : i9
-    %c16_i9_180 = arith.constant 16 : i9
-    %c16_i9_181 = arith.constant 16 : i9
-    %c16_i9_182 = arith.constant 16 : i9
-    %c16_i9_183 = arith.constant 16 : i9
-    %c16_i9_184 = arith.constant 16 : i9
-    %c16_i9_185 = arith.constant 16 : i9
-    %c16_i9_186 = arith.constant 16 : i9
-    %c16_i9_187 = arith.constant 16 : i9
-    %c16_i9_188 = arith.constant 16 : i9
-    %c16_i9_189 = arith.constant 16 : i9
-    %c16_i9_190 = arith.constant 16 : i9
-    %c16_i9_191 = arith.constant 16 : i9
-    %c16_i9_192 = arith.constant 16 : i9
-    %c16_i9_193 = arith.constant 16 : i9
-    %c16_i9_194 = arith.constant 16 : i9
-    %c16_i9_195 = arith.constant 16 : i9
-    %c16_i9_196 = arith.constant 16 : i9
-    %c16_i9_197 = arith.constant 16 : i9
-    %c16_i9_198 = arith.constant 16 : i9
-    %c16_i9_199 = arith.constant 16 : i9
-    %c16_i9_200 = arith.constant 16 : i9
-    %c16_i9_201 = arith.constant 16 : i9
-    %c16_i9_202 = arith.constant 16 : i9
-    %c16_i9_203 = arith.constant 16 : i9
-    %c16_i9_204 = arith.constant 16 : i9
-    %c16_i9_205 = arith.constant 16 : i9
-    %c16_i9_206 = arith.constant 16 : i9
-    %c16_i9_207 = arith.constant 16 : i9
-    %c16_i9_208 = arith.constant 16 : i9
-    %c16_i9_209 = arith.constant 16 : i9
-    %c16_i9_210 = arith.constant 16 : i9
-    %c16_i9_211 = arith.constant 16 : i9
-    %c16_i9_212 = arith.constant 16 : i9
-    %c16_i9_213 = arith.constant 16 : i9
-    %c16_i9_214 = arith.constant 16 : i9
-    %c16_i9_215 = arith.constant 16 : i9
-    %c16_i9_216 = arith.constant 16 : i9
-    %c16_i9_217 = arith.constant 16 : i9
-    %c16_i9_218 = arith.constant 16 : i9
-    %c16_i9_219 = arith.constant 16 : i9
-    %c16_i9_220 = arith.constant 16 : i9
-    %c16_i9_221 = arith.constant 16 : i9
-    %c16_i9_222 = arith.constant 16 : i9
-    %c16_i9_223 = arith.constant 16 : i9
-    %c16_i9_224 = arith.constant 16 : i9
-    %c16_i9_225 = arith.constant 16 : i9
-    %c16_i9_226 = arith.constant 16 : i9
-    %c16_i9_227 = arith.constant 16 : i9
-    %c16_i9_228 = arith.constant 16 : i9
-    %c16_i9_229 = arith.constant 16 : i9
-    %c16_i9_230 = arith.constant 16 : i9
-    %c16_i9_231 = arith.constant 16 : i9
-    %c16_i9_232 = arith.constant 16 : i9
-    %c16_i9_233 = arith.constant 16 : i9
-    %c16_i9_234 = arith.constant 16 : i9
-    %c16_i9_235 = arith.constant 16 : i9
-    %c16_i9_236 = arith.constant 16 : i9
-    %c16_i9_237 = arith.constant 16 : i9
-    %c16_i9_238 = arith.constant 16 : i9
-    %c15_i9 = arith.constant 15 : i9
-    %c16_i9_239 = arith.constant 16 : i9
-    %c15_i9_240 = arith.constant 15 : i9
-    %c16_i9_241 = arith.constant 16 : i9
-    %c15_i9_242 = arith.constant 15 : i9
-    %c16_i9_243 = arith.constant 16 : i9
-    %c15_i9_244 = arith.constant 15 : i9
-    %c16_i9_245 = arith.constant 16 : i9
-    %c16_i9_246 = arith.constant 16 : i9
-    %c16_i9_247 = arith.constant 16 : i9
-    %c16_i9_248 = arith.constant 16 : i9
-    %c16_i9_249 = arith.constant 16 : i9
-    %c16_i9_250 = arith.constant 16 : i9
-    %c16_i9_251 = arith.constant 16 : i9
-    %c16_i9_252 = arith.constant 16 : i9
-    %c16_i9_253 = arith.constant 16 : i9
-    %c16_i9_254 = arith.constant 16 : i9
-    %c16_i9_255 = arith.constant 16 : i9
-    %c16_i9_256 = arith.constant 16 : i9
-    %c16_i9_257 = arith.constant 16 : i9
-    %c16_i9_258 = arith.constant 16 : i9
-    %c16_i9_259 = arith.constant 16 : i9
-    %c16_i9_260 = arith.constant 16 : i9
-    %c16_i9_261 = arith.constant 16 : i9
-    %c16_i9_262 = arith.constant 16 : i9
-    %c16_i9_263 = arith.constant 16 : i9
-    %c16_i9_264 = arith.constant 16 : i9
-    %c16_i9_265 = arith.constant 16 : i9
-    %c16_i9_266 = arith.constant 16 : i9
-    %c16_i9_267 = arith.constant 16 : i9
-    %c16_i9_268 = arith.constant 16 : i9
-    %c16_i9_269 = arith.constant 16 : i9
-    %c16_i9_270 = arith.constant 16 : i9
-    %c16_i9_271 = arith.constant 16 : i9
-    %c16_i9_272 = arith.constant 16 : i9
-    %c16_i9_273 = arith.constant 16 : i9
-    %c16_i9_274 = arith.constant 16 : i9
-    %c16_i9_275 = arith.constant 16 : i9
-    %c16_i9_276 = arith.constant 16 : i9
-    %c16_i9_277 = arith.constant 16 : i9
-    %c16_i9_278 = arith.constant 16 : i9
-    %c16_i9_279 = arith.constant 16 : i9
-    %c16_i9_280 = arith.constant 16 : i9
-    %c16_i9_281 = arith.constant 16 : i9
-    %c16_i9_282 = arith.constant 16 : i9
-    %c16_i9_283 = arith.constant 16 : i9
-    %c16_i9_284 = arith.constant 16 : i9
-    %c16_i9_285 = arith.constant 16 : i9
-    %c15_i9_286 = arith.constant 15 : i9
-    %c16_i9_287 = arith.constant 16 : i9
-    %c15_i9_288 = arith.constant 15 : i9
-    %c16_i9_289 = arith.constant 16 : i9
-    %c15_i9_290 = arith.constant 15 : i9
-    %c16_i9_291 = arith.constant 16 : i9
-    %c15_i9_292 = arith.constant 15 : i9
-    %c16_i9_293 = arith.constant 16 : i9
-    %c16_i9_294 = arith.constant 16 : i9
-    %c16_i9_295 = arith.constant 16 : i9
-    %c16_i9_296 = arith.constant 16 : i9
-    %c16_i9_297 = arith.constant 16 : i9
-    %c16_i9_298 = arith.constant 16 : i9
-    %c16_i9_299 = arith.constant 16 : i9
-    %c16_i9_300 = arith.constant 16 : i9
-    %c16_i9_301 = arith.constant 16 : i9
-    %c16_i9_302 = arith.constant 16 : i9
-    %c16_i9_303 = arith.constant 16 : i9
-    %c16_i9_304 = arith.constant 16 : i9
-    %c16_i9_305 = arith.constant 16 : i9
-    %c16_i9_306 = arith.constant 16 : i9
-    %c16_i9_307 = arith.constant 16 : i9
-    %c16_i9_308 = arith.constant 16 : i9
-    %c16_i9_309 = arith.constant 16 : i9
-    %c16_i9_310 = arith.constant 16 : i9
-    %c16_i9_311 = arith.constant 16 : i9
-    %c16_i9_312 = arith.constant 16 : i9
-    %c16_i9_313 = arith.constant 16 : i9
-    %c16_i9_314 = arith.constant 16 : i9
-    %c16_i9_315 = arith.constant 16 : i9
-    %c16_i9_316 = arith.constant 16 : i9
-    %c16_i9_317 = arith.constant 16 : i9
-    %c16_i9_318 = arith.constant 16 : i9
-    %c16_i9_319 = arith.constant 16 : i9
-    %c16_i9_320 = arith.constant 16 : i9
-    %c16_i9_321 = arith.constant 16 : i9
-    %c16_i9_322 = arith.constant 16 : i9
-    %c16_i9_323 = arith.constant 16 : i9
-    %c16_i9_324 = arith.constant 16 : i9
-    %c16_i9_325 = arith.constant 16 : i9
-    %c16_i9_326 = arith.constant 16 : i9
-    %c16_i9_327 = arith.constant 16 : i9
-    %c15_i9_328 = arith.constant 15 : i9
-    %c16_i9_329 = arith.constant 16 : i9
-    %c16_i9_330 = arith.constant 16 : i9
-    %c16_i9_331 = arith.constant 16 : i9
-    %c15_i9_332 = arith.constant 15 : i9
-    %c16_i9_333 = arith.constant 16 : i9
-    %c16_i9_334 = arith.constant 16 : i9
-    %c16_i9_335 = arith.constant 16 : i9
-    %c15_i9_336 = arith.constant 15 : i9
-    %c16_i9_337 = arith.constant 16 : i9
-    %c16_i9_338 = arith.constant 16 : i9
-    %c16_i9_339 = arith.constant 16 : i9
-    %c15_i9_340 = arith.constant 15 : i9
-    %c16_i9_341 = arith.constant 16 : i9
-    %c16_i9_342 = arith.constant 16 : i9
-    %c16_i9_343 = arith.constant 16 : i9
-    %c15_i9_344 = arith.constant 15 : i9
-    %c16_i9_345 = arith.constant 16 : i9
-    %c16_i9_346 = arith.constant 16 : i9
-    %c16_i9_347 = arith.constant 16 : i9
-    %c15_i9_348 = arith.constant 15 : i9
-    %c16_i9_349 = arith.constant 16 : i9
-    %c16_i9_350 = arith.constant 16 : i9
-    %c16_i9_351 = arith.constant 16 : i9
-    %c15_i9_352 = arith.constant 15 : i9
-    %c16_i9_353 = arith.constant 16 : i9
-    %c16_i9_354 = arith.constant 16 : i9
-    %c16_i9_355 = arith.constant 16 : i9
-    %c15_i9_356 = arith.constant 15 : i9
-    %c16_i9_357 = arith.constant 16 : i9
-    %c16_i9_358 = arith.constant 16 : i9
-    %c16_i9_359 = arith.constant 16 : i9
-    %c16_i9_360 = arith.constant 16 : i9
-    %c16_i9_361 = arith.constant 16 : i9
-    %c16_i9_362 = arith.constant 16 : i9
-    %c16_i9_363 = arith.constant 16 : i9
-    %c16_i9_364 = arith.constant 16 : i9
-    %c160 = arith.constant 160 : index
-    %0 = tensor.extract %arg0[%c160] : tensor<176x!FHE.eint<8>>
-    %c161 = arith.constant 161 : index
-    %1 = tensor.extract %arg0[%c161] : tensor<176x!FHE.eint<8>>
-    %c162 = arith.constant 162 : index
-    %2 = tensor.extract %arg0[%c162] : tensor<176x!FHE.eint<8>>
-    %c163 = arith.constant 163 : index
-    %3 = tensor.extract %arg0[%c163] : tensor<176x!FHE.eint<8>>
-    %c164 = arith.constant 164 : index
-    %4 = tensor.extract %arg0[%c164] : tensor<176x!FHE.eint<8>>
-    %c165 = arith.constant 165 : index
-    %5 = tensor.extract %arg0[%c165] : tensor<176x!FHE.eint<8>>
-    %c166 = arith.constant 166 : index
-    %6 = tensor.extract %arg0[%c166] : tensor<176x!FHE.eint<8>>
-    %c167 = arith.constant 167 : index
-    %7 = tensor.extract %arg0[%c167] : tensor<176x!FHE.eint<8>>
-    %c168 = arith.constant 168 : index
-    %8 = tensor.extract %arg0[%c168] : tensor<176x!FHE.eint<8>>
-    %c169 = arith.constant 169 : index
-    %9 = tensor.extract %arg0[%c169] : tensor<176x!FHE.eint<8>>
-    %c170 = arith.constant 170 : index
-    %10 = tensor.extract %arg0[%c170] : tensor<176x!FHE.eint<8>>
-    %c171 = arith.constant 171 : index
-    %11 = tensor.extract %arg0[%c171] : tensor<176x!FHE.eint<8>>
-    %c172 = arith.constant 172 : index
-    %12 = tensor.extract %arg0[%c172] : tensor<176x!FHE.eint<8>>
-    %c173 = arith.constant 173 : index
-    %13 = tensor.extract %arg0[%c173] : tensor<176x!FHE.eint<8>>
-    %c174 = arith.constant 174 : index
-    %14 = tensor.extract %arg0[%c174] : tensor<176x!FHE.eint<8>>
-    %c175 = arith.constant 175 : index
-    %15 = tensor.extract %arg0[%c175] : tensor<176x!FHE.eint<8>>
-    %c32 = arith.constant 32 : index
-    %16 = tensor.extract %arg0[%c32] : tensor<176x!FHE.eint<8>>
-    %c37 = arith.constant 37 : index
-    %17 = tensor.extract %arg0[%c37] : tensor<176x!FHE.eint<8>>
-    %c42 = arith.constant 42 : index
-    %18 = tensor.extract %arg0[%c42] : tensor<176x!FHE.eint<8>>
-    %c47 = arith.constant 47 : index
-    %19 = tensor.extract %arg0[%c47] : tensor<176x!FHE.eint<8>>
-    %c36 = arith.constant 36 : index
-    %20 = tensor.extract %arg0[%c36] : tensor<176x!FHE.eint<8>>
-    %c41 = arith.constant 41 : index
-    %21 = tensor.extract %arg0[%c41] : tensor<176x!FHE.eint<8>>
-    %c46 = arith.constant 46 : index
-    %22 = tensor.extract %arg0[%c46] : tensor<176x!FHE.eint<8>>
-    %c35 = arith.constant 35 : index
-    %23 = tensor.extract %arg0[%c35] : tensor<176x!FHE.eint<8>>
-    %c40 = arith.constant 40 : index
-    %24 = tensor.extract %arg0[%c40] : tensor<176x!FHE.eint<8>>
-    %c45 = arith.constant 45 : index
-    %25 = tensor.extract %arg0[%c45] : tensor<176x!FHE.eint<8>>
-    %c34 = arith.constant 34 : index
-    %26 = tensor.extract %arg0[%c34] : tensor<176x!FHE.eint<8>>
-    %c39 = arith.constant 39 : index
-    %27 = tensor.extract %arg0[%c39] : tensor<176x!FHE.eint<8>>
-    %c44 = arith.constant 44 : index
-    %28 = tensor.extract %arg0[%c44] : tensor<176x!FHE.eint<8>>
-    %c33 = arith.constant 33 : index
-    %29 = tensor.extract %arg0[%c33] : tensor<176x!FHE.eint<8>>
-    %c38 = arith.constant 38 : index
-    %30 = tensor.extract %arg0[%c38] : tensor<176x!FHE.eint<8>>
-    %c43 = arith.constant 43 : index
-    %31 = tensor.extract %arg0[%c43] : tensor<176x!FHE.eint<8>>
-    %c31 = arith.constant 31 : index
-    %32 = tensor.extract %arg0[%c31] : tensor<176x!FHE.eint<8>>
-    %c19 = arith.constant 19 : index
-    %33 = tensor.extract %arg0[%c19] : tensor<176x!FHE.eint<8>>
-    %c23 = arith.constant 23 : index
-    %34 = tensor.extract %arg0[%c23] : tensor<176x!FHE.eint<8>>
-    %c27 = arith.constant 27 : index
-    %35 = tensor.extract %arg0[%c27] : tensor<176x!FHE.eint<8>>
-    %c26 = arith.constant 26 : index
-    %36 = tensor.extract %arg0[%c26] : tensor<176x!FHE.eint<8>>
-    %c30 = arith.constant 30 : index
-    %37 = tensor.extract %arg0[%c30] : tensor<176x!FHE.eint<8>>
-    %c18 = arith.constant 18 : index
-    %38 = tensor.extract %arg0[%c18] : tensor<176x!FHE.eint<8>>
-    %c22 = arith.constant 22 : index
-    %39 = tensor.extract %arg0[%c22] : tensor<176x!FHE.eint<8>>
-    %c21 = arith.constant 21 : index
-    %40 = tensor.extract %arg0[%c21] : tensor<176x!FHE.eint<8>>
-    %c25 = arith.constant 25 : index
-    %41 = tensor.extract %arg0[%c25] : tensor<176x!FHE.eint<8>>
-    %c29 = arith.constant 29 : index
-    %42 = tensor.extract %arg0[%c29] : tensor<176x!FHE.eint<8>>
-    %c17 = arith.constant 17 : index
-    %43 = tensor.extract %arg0[%c17] : tensor<176x!FHE.eint<8>>
-    %c16 = arith.constant 16 : index
-    %44 = tensor.extract %arg0[%c16] : tensor<176x!FHE.eint<8>>
-    %c11 = arith.constant 11 : index
-    %45 = tensor.extract %arg0[%c11] : tensor<176x!FHE.eint<8>>
-    %c20 = arith.constant 20 : index
-    %46 = tensor.extract %arg0[%c20] : tensor<176x!FHE.eint<8>>
-    %c15 = arith.constant 15 : index
-    %47 = tensor.extract %arg0[%c15] : tensor<176x!FHE.eint<8>>
-    %c24 = arith.constant 24 : index
-    %48 = tensor.extract %arg0[%c24] : tensor<176x!FHE.eint<8>>
-    %c3 = arith.constant 3 : index
-    %49 = tensor.extract %arg0[%c3] : tensor<176x!FHE.eint<8>>
-    %c28 = arith.constant 28 : index
-    %50 = tensor.extract %arg0[%c28] : tensor<176x!FHE.eint<8>>
-    %c7 = arith.constant 7 : index
-    %51 = tensor.extract %arg0[%c7] : tensor<176x!FHE.eint<8>>
-    %c6 = arith.constant 6 : index
-    %52 = tensor.extract %arg0[%c6] : tensor<176x!FHE.eint<8>>
-    %c10 = arith.constant 10 : index
-    %53 = tensor.extract %arg0[%c10] : tensor<176x!FHE.eint<8>>
-    %c14 = arith.constant 14 : index
-    %54 = tensor.extract %arg0[%c14] : tensor<176x!FHE.eint<8>>
-    %c2 = arith.constant 2 : index
-    %55 = tensor.extract %arg0[%c2] : tensor<176x!FHE.eint<8>>
-    %c1 = arith.constant 1 : index
-    %56 = tensor.extract %arg0[%c1] : tensor<176x!FHE.eint<8>>
-    %c5 = arith.constant 5 : index
-    %57 = tensor.extract %arg0[%c5] : tensor<176x!FHE.eint<8>>
-    %c9 = arith.constant 9 : index
-    %58 = tensor.extract %arg0[%c9] : tensor<176x!FHE.eint<8>>
-    %c13 = arith.constant 13 : index
-    %59 = tensor.extract %arg0[%c13] : tensor<176x!FHE.eint<8>>
-    %c12 = arith.constant 12 : index
-    %60 = tensor.extract %arg0[%c12] : tensor<176x!FHE.eint<8>>
-    %c0 = arith.constant 0 : index
-    %61 = tensor.extract %arg0[%c0] : tensor<176x!FHE.eint<8>>
-    %c4 = arith.constant 4 : index
-    %62 = tensor.extract %arg0[%c4] : tensor<176x!FHE.eint<8>>
-    %c8 = arith.constant 8 : index
-    %63 = tensor.extract %arg0[%c8] : tensor<176x!FHE.eint<8>>
-    %c160_365 = arith.constant 160 : index
-    %64 = tensor.extract %arg1[%c160_365] : tensor<176x!FHE.eint<8>>
-    %c161_366 = arith.constant 161 : index
-    %65 = tensor.extract %arg1[%c161_366] : tensor<176x!FHE.eint<8>>
-    %c162_367 = arith.constant 162 : index
-    %66 = tensor.extract %arg1[%c162_367] : tensor<176x!FHE.eint<8>>
-    %c163_368 = arith.constant 163 : index
-    %67 = tensor.extract %arg1[%c163_368] : tensor<176x!FHE.eint<8>>
-    %c164_369 = arith.constant 164 : index
-    %68 = tensor.extract %arg1[%c164_369] : tensor<176x!FHE.eint<8>>
-    %c165_370 = arith.constant 165 : index
-    %69 = tensor.extract %arg1[%c165_370] : tensor<176x!FHE.eint<8>>
-    %c166_371 = arith.constant 166 : index
-    %70 = tensor.extract %arg1[%c166_371] : tensor<176x!FHE.eint<8>>
-    %c167_372 = arith.constant 167 : index
-    %71 = tensor.extract %arg1[%c167_372] : tensor<176x!FHE.eint<8>>
-    %c168_373 = arith.constant 168 : index
-    %72 = tensor.extract %arg1[%c168_373] : tensor<176x!FHE.eint<8>>
-    %c169_374 = arith.constant 169 : index
-    %73 = tensor.extract %arg1[%c169_374] : tensor<176x!FHE.eint<8>>
-    %c170_375 = arith.constant 170 : index
-    %74 = tensor.extract %arg1[%c170_375] : tensor<176x!FHE.eint<8>>
-    %c171_376 = arith.constant 171 : index
-    %75 = tensor.extract %arg1[%c171_376] : tensor<176x!FHE.eint<8>>
-    %c172_377 = arith.constant 172 : index
-    %76 = tensor.extract %arg1[%c172_377] : tensor<176x!FHE.eint<8>>
-    %c173_378 = arith.constant 173 : index
-    %77 = tensor.extract %arg1[%c173_378] : tensor<176x!FHE.eint<8>>
-    %c174_379 = arith.constant 174 : index
-    %78 = tensor.extract %arg1[%c174_379] : tensor<176x!FHE.eint<8>>
-    %c175_380 = arith.constant 175 : index
-    %79 = tensor.extract %arg1[%c175_380] : tensor<176x!FHE.eint<8>>
-    %c32_381 = arith.constant 32 : index
-    %80 = tensor.extract %arg1[%c32_381] : tensor<176x!FHE.eint<8>>
-    %c37_382 = arith.constant 37 : index
-    %81 = tensor.extract %arg1[%c37_382] : tensor<176x!FHE.eint<8>>
-    %c42_383 = arith.constant 42 : index
-    %82 = tensor.extract %arg1[%c42_383] : tensor<176x!FHE.eint<8>>
-    %c47_384 = arith.constant 47 : index
-    %83 = tensor.extract %arg1[%c47_384] : tensor<176x!FHE.eint<8>>
-    %c36_385 = arith.constant 36 : index
-    %84 = tensor.extract %arg1[%c36_385] : tensor<176x!FHE.eint<8>>
-    %c41_386 = arith.constant 41 : index
-    %85 = tensor.extract %arg1[%c41_386] : tensor<176x!FHE.eint<8>>
-    %c46_387 = arith.constant 46 : index
-    %86 = tensor.extract %arg1[%c46_387] : tensor<176x!FHE.eint<8>>
-    %c35_388 = arith.constant 35 : index
-    %87 = tensor.extract %arg1[%c35_388] : tensor<176x!FHE.eint<8>>
-    %c40_389 = arith.constant 40 : index
-    %88 = tensor.extract %arg1[%c40_389] : tensor<176x!FHE.eint<8>>
-    %c45_390 = arith.constant 45 : index
-    %89 = tensor.extract %arg1[%c45_390] : tensor<176x!FHE.eint<8>>
-    %c34_391 = arith.constant 34 : index
-    %90 = tensor.extract %arg1[%c34_391] : tensor<176x!FHE.eint<8>>
-    %c39_392 = arith.constant 39 : index
-    %91 = tensor.extract %arg1[%c39_392] : tensor<176x!FHE.eint<8>>
-    %c44_393 = arith.constant 44 : index
-    %92 = tensor.extract %arg1[%c44_393] : tensor<176x!FHE.eint<8>>
-    %c33_394 = arith.constant 33 : index
-    %93 = tensor.extract %arg1[%c33_394] : tensor<176x!FHE.eint<8>>
-    %c38_395 = arith.constant 38 : index
-    %94 = tensor.extract %arg1[%c38_395] : tensor<176x!FHE.eint<8>>
-    %c43_396 = arith.constant 43 : index
-    %95 = tensor.extract %arg1[%c43_396] : tensor<176x!FHE.eint<8>>
-    %c31_397 = arith.constant 31 : index
-    %96 = tensor.extract %arg1[%c31_397] : tensor<176x!FHE.eint<8>>
-    %c19_398 = arith.constant 19 : index
-    %97 = tensor.extract %arg1[%c19_398] : tensor<176x!FHE.eint<8>>
-    %c23_399 = arith.constant 23 : index
-    %98 = tensor.extract %arg1[%c23_399] : tensor<176x!FHE.eint<8>>
-    %c27_400 = arith.constant 27 : index
-    %99 = tensor.extract %arg1[%c27_400] : tensor<176x!FHE.eint<8>>
-    %c26_401 = arith.constant 26 : index
-    %100 = tensor.extract %arg1[%c26_401] : tensor<176x!FHE.eint<8>>
-    %c30_402 = arith.constant 30 : index
-    %101 = tensor.extract %arg1[%c30_402] : tensor<176x!FHE.eint<8>>
-    %c18_403 = arith.constant 18 : index
-    %102 = tensor.extract %arg1[%c18_403] : tensor<176x!FHE.eint<8>>
-    %c22_404 = arith.constant 22 : index
-    %103 = tensor.extract %arg1[%c22_404] : tensor<176x!FHE.eint<8>>
-    %c21_405 = arith.constant 21 : index
-    %104 = tensor.extract %arg1[%c21_405] : tensor<176x!FHE.eint<8>>
-    %c25_406 = arith.constant 25 : index
-    %105 = tensor.extract %arg1[%c25_406] : tensor<176x!FHE.eint<8>>
-    %c29_407 = arith.constant 29 : index
-    %106 = tensor.extract %arg1[%c29_407] : tensor<176x!FHE.eint<8>>
-    %c17_408 = arith.constant 17 : index
-    %107 = tensor.extract %arg1[%c17_408] : tensor<176x!FHE.eint<8>>
-    %c16_409 = arith.constant 16 : index
-    %108 = tensor.extract %arg1[%c16_409] : tensor<176x!FHE.eint<8>>
-    %c11_410 = arith.constant 11 : index
-    %109 = tensor.extract %arg1[%c11_410] : tensor<176x!FHE.eint<8>>
-    %c20_411 = arith.constant 20 : index
-    %110 = tensor.extract %arg1[%c20_411] : tensor<176x!FHE.eint<8>>
-    %c15_412 = arith.constant 15 : index
-    %111 = tensor.extract %arg1[%c15_412] : tensor<176x!FHE.eint<8>>
-    %c24_413 = arith.constant 24 : index
-    %112 = tensor.extract %arg1[%c24_413] : tensor<176x!FHE.eint<8>>
-    %c3_414 = arith.constant 3 : index
-    %113 = tensor.extract %arg1[%c3_414] : tensor<176x!FHE.eint<8>>
-    %c28_415 = arith.constant 28 : index
-    %114 = tensor.extract %arg1[%c28_415] : tensor<176x!FHE.eint<8>>
-    %c7_416 = arith.constant 7 : index
-    %115 = tensor.extract %arg1[%c7_416] : tensor<176x!FHE.eint<8>>
-    %c6_417 = arith.constant 6 : index
-    %116 = tensor.extract %arg1[%c6_417] : tensor<176x!FHE.eint<8>>
-    %c10_418 = arith.constant 10 : index
-    %117 = tensor.extract %arg1[%c10_418] : tensor<176x!FHE.eint<8>>
-    %c14_419 = arith.constant 14 : index
-    %118 = tensor.extract %arg1[%c14_419] : tensor<176x!FHE.eint<8>>
-    %c2_420 = arith.constant 2 : index
-    %119 = tensor.extract %arg1[%c2_420] : tensor<176x!FHE.eint<8>>
-    %c1_421 = arith.constant 1 : index
-    %120 = tensor.extract %arg1[%c1_421] : tensor<176x!FHE.eint<8>>
-    %c5_422 = arith.constant 5 : index
-    %121 = tensor.extract %arg1[%c5_422] : tensor<176x!FHE.eint<8>>
-    %c9_423 = arith.constant 9 : index
-    %122 = tensor.extract %arg1[%c9_423] : tensor<176x!FHE.eint<8>>
-    %c13_424 = arith.constant 13 : index
-    %123 = tensor.extract %arg1[%c13_424] : tensor<176x!FHE.eint<8>>
-    %c12_425 = arith.constant 12 : index
-    %124 = tensor.extract %arg1[%c12_425] : tensor<176x!FHE.eint<8>>
-    %c0_426 = arith.constant 0 : index
-    %125 = tensor.extract %arg1[%c0_426] : tensor<176x!FHE.eint<8>>
-    %c4_427 = arith.constant 4 : index
-    %126 = tensor.extract %arg1[%c4_427] : tensor<176x!FHE.eint<8>>
-    %c8_428 = arith.constant 8 : index
-    %127 = tensor.extract %arg1[%c8_428] : tensor<176x!FHE.eint<8>>
-    %c11_429 = arith.constant 11 : index
-    %128 = tensor.extract %arg2[%c11_429] : tensor<16x!FHE.eint<8>>
-    %c15_430 = arith.constant 15 : index
-    %129 = tensor.extract %arg2[%c15_430] : tensor<16x!FHE.eint<8>>
-    %c3_431 = arith.constant 3 : index
-    %130 = tensor.extract %arg2[%c3_431] : tensor<16x!FHE.eint<8>>
-    %c7_432 = arith.constant 7 : index
-    %131 = tensor.extract %arg2[%c7_432] : tensor<16x!FHE.eint<8>>
-    %c6_433 = arith.constant 6 : index
-    %132 = tensor.extract %arg2[%c6_433] : tensor<16x!FHE.eint<8>>
-    %c10_434 = arith.constant 10 : index
-    %133 = tensor.extract %arg2[%c10_434] : tensor<16x!FHE.eint<8>>
-    %c14_435 = arith.constant 14 : index
-    %134 = tensor.extract %arg2[%c14_435] : tensor<16x!FHE.eint<8>>
-    %c2_436 = arith.constant 2 : index
-    %135 = tensor.extract %arg2[%c2_436] : tensor<16x!FHE.eint<8>>
-    %c1_437 = arith.constant 1 : index
-    %136 = tensor.extract %arg2[%c1_437] : tensor<16x!FHE.eint<8>>
-    %c5_438 = arith.constant 5 : index
-    %137 = tensor.extract %arg2[%c5_438] : tensor<16x!FHE.eint<8>>
-    %c9_439 = arith.constant 9 : index
-    %138 = tensor.extract %arg2[%c9_439] : tensor<16x!FHE.eint<8>>
-    %c13_440 = arith.constant 13 : index
-    %139 = tensor.extract %arg2[%c13_440] : tensor<16x!FHE.eint<8>>
-    %c12_441 = arith.constant 12 : index
-    %140 = tensor.extract %arg2[%c12_441] : tensor<16x!FHE.eint<8>>
-    %c0_442 = arith.constant 0 : index
-    %141 = tensor.extract %arg2[%c0_442] : tensor<16x!FHE.eint<8>>
-    %c4_443 = arith.constant 4 : index
-    %142 = tensor.extract %arg2[%c4_443] : tensor<16x!FHE.eint<8>>
-    %c8_444 = arith.constant 8 : index
-    %143 = tensor.extract %arg2[%c8_444] : tensor<16x!FHE.eint<8>>
-    %cst_445 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %144 = "FHE.apply_lookup_table"(%128, %cst_445) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_446 = arith.constant dense<"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"> : tensor<256xi64>
-    %145 = "FHE.apply_lookup_table"(%128, %cst_446) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_447 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %146 = "FHE.apply_lookup_table"(%129, %cst_447) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_448 = arith.constant dense<"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"> : tensor<256xi64>
-    %147 = "FHE.apply_lookup_table"(%129, %cst_448) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_449 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %148 = "FHE.apply_lookup_table"(%130, %cst_449) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_450 = arith.constant dense<"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"> : tensor<256xi64>
-    %149 = "FHE.apply_lookup_table"(%130, %cst_450) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_451 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %150 = "FHE.apply_lookup_table"(%131, %cst_451) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_452 = arith.constant dense<"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"> : tensor<256xi64>
-    %151 = "FHE.apply_lookup_table"(%131, %cst_452) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_453 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %152 = "FHE.apply_lookup_table"(%132, %cst_453) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_454 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F00000000000000"> : tensor<256xi64>
-    %153 = "FHE.apply_lookup_table"(%132, %cst_454) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_455 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %154 = "FHE.apply_lookup_table"(%133, %cst_455) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_456 = arith.constant dense<"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"> : tensor<256xi64>
-    %155 = "FHE.apply_lookup_table"(%133, %cst_456) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_457 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %156 = "FHE.apply_lookup_table"(%134, %cst_457) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_458 = arith.constant dense<"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"> : tensor<256xi64>
-    %157 = "FHE.apply_lookup_table"(%134, %cst_458) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_459 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %158 = "FHE.apply_lookup_table"(%135, %cst_459) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_460 = arith.constant dense<"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"> : tensor<256xi64>
-    %159 = "FHE.apply_lookup_table"(%135, %cst_460) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_461 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %160 = "FHE.apply_lookup_table"(%136, %cst_461) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_462 = arith.constant dense<"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"> : tensor<256xi64>
-    %161 = "FHE.apply_lookup_table"(%136, %cst_462) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_463 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %162 = "FHE.apply_lookup_table"(%137, %cst_463) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_464 = arith.constant dense<"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"> : tensor<256xi64>
-    %163 = "FHE.apply_lookup_table"(%137, %cst_464) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_465 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %164 = "FHE.apply_lookup_table"(%138, %cst_465) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_466 = arith.constant dense<"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"> : tensor<256xi64>
-    %165 = "FHE.apply_lookup_table"(%138, %cst_466) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_467 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %166 = "FHE.apply_lookup_table"(%139, %cst_467) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_468 = arith.constant dense<"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"> : tensor<256xi64>
-    %167 = "FHE.apply_lookup_table"(%139, %cst_468) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_469 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %168 = "FHE.apply_lookup_table"(%140, %cst_469) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_470 = arith.constant dense<"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"> : tensor<256xi64>
-    %169 = "FHE.apply_lookup_table"(%140, %cst_470) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_471 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %170 = "FHE.apply_lookup_table"(%141, %cst_471) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_472 = arith.constant dense<"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"> : tensor<256xi64>
-    %171 = "FHE.apply_lookup_table"(%141, %cst_472) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_473 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %172 = "FHE.apply_lookup_table"(%142, %cst_473) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_474 = arith.constant dense<"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"> : tensor<256xi64>
-    %173 = "FHE.apply_lookup_table"(%142, %cst_474) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_475 = arith.constant dense<"0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000010000000000000001000000000000000100000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000002000000000000000200000000000000020000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000300000000000000030000000000000003000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000040000000000000004000000000000000400000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000005000000000000000500000000000000050000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000600000000000000060000000000000006000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000070000000000000007000000000000000700000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000008000000000000000800000000000000080000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000900000000000000090000000000000009000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000A000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000B000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000C000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000D000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000E000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F000000000000000F00000000000000"> : tensor<256xi64>
-    %174 = "FHE.apply_lookup_table"(%143, %cst_475) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_476 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F00000000000000"> : tensor<256xi64>
-    %175 = "FHE.apply_lookup_table"(%143, %cst_476) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %176 = "FHE.mul_eint_int"(%144, %c16_i9_224) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %177 = "FHE.mul_eint_int"(%145, %c16_i9_225) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %178 = "FHE.mul_eint_int"(%146, %c16_i9_228) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %179 = "FHE.mul_eint_int"(%147, %c16_i9_229) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %180 = "FHE.mul_eint_int"(%148, %c16_i9_232) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %181 = "FHE.mul_eint_int"(%149, %c16_i9_233) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %182 = "FHE.mul_eint_int"(%150, %c16_i9_236) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %183 = "FHE.mul_eint_int"(%151, %c16_i9_237) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %184 = "FHE.mul_eint_int"(%152, %c16_i9_271) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %185 = "FHE.mul_eint_int"(%153, %c16_i9_272) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %186 = "FHE.mul_eint_int"(%154, %c16_i9_275) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %187 = "FHE.mul_eint_int"(%155, %c16_i9_276) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %188 = "FHE.mul_eint_int"(%156, %c16_i9_279) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %189 = "FHE.mul_eint_int"(%157, %c16_i9_280) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %190 = "FHE.mul_eint_int"(%158, %c16_i9_283) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %191 = "FHE.mul_eint_int"(%159, %c16_i9_284) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %192 = "FHE.mul_eint_int"(%160, %c16_i9_311) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %193 = "FHE.mul_eint_int"(%161, %c16_i9_312) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %194 = "FHE.mul_eint_int"(%162, %c16_i9_315) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %195 = "FHE.mul_eint_int"(%163, %c16_i9_316) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %196 = "FHE.mul_eint_int"(%164, %c16_i9_319) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %197 = "FHE.mul_eint_int"(%165, %c16_i9_320) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %198 = "FHE.mul_eint_int"(%166, %c16_i9_323) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %199 = "FHE.mul_eint_int"(%167, %c16_i9_324) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %200 = "FHE.mul_eint_int"(%168, %c16_i9_325) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %201 = "FHE.mul_eint_int"(%169, %c16_i9_326) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %202 = "FHE.mul_eint_int"(%170, %c16_i9_329) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %203 = "FHE.mul_eint_int"(%171, %c16_i9_330) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %204 = "FHE.mul_eint_int"(%172, %c16_i9_333) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %205 = "FHE.mul_eint_int"(%173, %c16_i9_334) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %206 = "FHE.mul_eint_int"(%174, %c16_i9_337) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %207 = "FHE.mul_eint_int"(%175, %c16_i9_338) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %208 = "FHE.add_eint"(%176, %45) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %209 = "FHE.add_eint"(%177, %109) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %210 = "FHE.add_eint"(%178, %47) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %211 = "FHE.add_eint"(%179, %111) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %212 = "FHE.add_eint"(%180, %49) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %213 = "FHE.add_eint"(%181, %113) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %214 = "FHE.add_eint"(%182, %51) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %215 = "FHE.add_eint"(%183, %115) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %216 = "FHE.add_eint"(%184, %52) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %217 = "FHE.add_eint"(%185, %116) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %218 = "FHE.add_eint"(%186, %53) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %219 = "FHE.add_eint"(%187, %117) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %220 = "FHE.add_eint"(%188, %54) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %221 = "FHE.add_eint"(%189, %118) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %222 = "FHE.add_eint"(%190, %55) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %223 = "FHE.add_eint"(%191, %119) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %224 = "FHE.add_eint"(%192, %56) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %225 = "FHE.add_eint"(%193, %120) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %226 = "FHE.add_eint"(%194, %57) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %227 = "FHE.add_eint"(%195, %121) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %228 = "FHE.add_eint"(%196, %58) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %229 = "FHE.add_eint"(%197, %122) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %230 = "FHE.add_eint"(%198, %59) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %231 = "FHE.add_eint"(%199, %123) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %232 = "FHE.add_eint"(%200, %60) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %233 = "FHE.add_eint"(%201, %124) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %234 = "FHE.add_eint"(%202, %61) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %235 = "FHE.add_eint"(%203, %125) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %236 = "FHE.add_eint"(%204, %62) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %237 = "FHE.add_eint"(%205, %126) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %238 = "FHE.add_eint"(%206, %63) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %239 = "FHE.add_eint"(%207, %127) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_477 = arith.constant dense<"0x0000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000"> : tensor<256xi64>
-    %240 = "FHE.apply_lookup_table"(%208, %cst_477) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_478 = arith.constant dense<"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"> : tensor<256xi64>
-    %241 = "FHE.apply_lookup_table"(%209, %cst_478) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_479 = arith.constant dense<"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"> : tensor<256xi64>
-    %242 = "FHE.apply_lookup_table"(%210, %cst_479) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_480 = arith.constant dense<"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"> : tensor<256xi64>
-    %243 = "FHE.apply_lookup_table"(%211, %cst_480) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_481 = arith.constant dense<"0x0000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000"> : tensor<256xi64>
-    %244 = "FHE.apply_lookup_table"(%212, %cst_481) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_482 = arith.constant dense<"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"> : tensor<256xi64>
-    %245 = "FHE.apply_lookup_table"(%213, %cst_482) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_483 = arith.constant dense<"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"> : tensor<256xi64>
-    %246 = "FHE.apply_lookup_table"(%214, %cst_483) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_484 = arith.constant dense<"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"> : tensor<256xi64>
-    %247 = "FHE.apply_lookup_table"(%215, %cst_484) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_485 = arith.constant dense<"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"> : tensor<256xi64>
-    %248 = "FHE.apply_lookup_table"(%216, %cst_485) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_486 = arith.constant dense<"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"> : tensor<256xi64>
-    %249 = "FHE.apply_lookup_table"(%217, %cst_486) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_487 = arith.constant dense<"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"> : tensor<256xi64>
-    %250 = "FHE.apply_lookup_table"(%218, %cst_487) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_488 = arith.constant dense<"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"> : tensor<256xi64>
-    %251 = "FHE.apply_lookup_table"(%219, %cst_488) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_489 = arith.constant dense<"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"> : tensor<256xi64>
-    %252 = "FHE.apply_lookup_table"(%220, %cst_489) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_490 = arith.constant dense<"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"> : tensor<256xi64>
-    %253 = "FHE.apply_lookup_table"(%221, %cst_490) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_491 = arith.constant dense<"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"> : tensor<256xi64>
-    %254 = "FHE.apply_lookup_table"(%222, %cst_491) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_492 = arith.constant dense<"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"> : tensor<256xi64>
-    %255 = "FHE.apply_lookup_table"(%223, %cst_492) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_493 = arith.constant dense<"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"> : tensor<256xi64>
-    %256 = "FHE.apply_lookup_table"(%224, %cst_493) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_494 = arith.constant dense<"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"> : tensor<256xi64>
-    %257 = "FHE.apply_lookup_table"(%225, %cst_494) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_495 = arith.constant dense<"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"> : tensor<256xi64>
-    %258 = "FHE.apply_lookup_table"(%226, %cst_495) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_496 = arith.constant dense<"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"> : tensor<256xi64>
-    %259 = "FHE.apply_lookup_table"(%227, %cst_496) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_497 = arith.constant dense<"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"> : tensor<256xi64>
-    %260 = "FHE.apply_lookup_table"(%228, %cst_497) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_498 = arith.constant dense<"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"> : tensor<256xi64>
-    %261 = "FHE.apply_lookup_table"(%229, %cst_498) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_499 = arith.constant dense<"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"> : tensor<256xi64>
-    %262 = "FHE.apply_lookup_table"(%230, %cst_499) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_500 = arith.constant dense<"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"> : tensor<256xi64>
-    %263 = "FHE.apply_lookup_table"(%231, %cst_500) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_501 = arith.constant dense<"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"> : tensor<256xi64>
-    %264 = "FHE.apply_lookup_table"(%232, %cst_501) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_502 = arith.constant dense<"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"> : tensor<256xi64>
-    %265 = "FHE.apply_lookup_table"(%233, %cst_502) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_503 = arith.constant dense<"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"> : tensor<256xi64>
-    %266 = "FHE.apply_lookup_table"(%234, %cst_503) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_504 = arith.constant dense<"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"> : tensor<256xi64>
-    %267 = "FHE.apply_lookup_table"(%235, %cst_504) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_505 = arith.constant dense<"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"> : tensor<256xi64>
-    %268 = "FHE.apply_lookup_table"(%236, %cst_505) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_506 = arith.constant dense<"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"> : tensor<256xi64>
-    %269 = "FHE.apply_lookup_table"(%237, %cst_506) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_507 = arith.constant dense<"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"> : tensor<256xi64>
-    %270 = "FHE.apply_lookup_table"(%238, %cst_507) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_508 = arith.constant dense<"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"> : tensor<256xi64>
-    %271 = "FHE.apply_lookup_table"(%239, %cst_508) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %272 = "FHE.add_eint"(%240, %241) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %273 = "FHE.add_eint"(%242, %243) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %274 = "FHE.add_eint"(%244, %245) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %275 = "FHE.add_eint"(%246, %247) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %276 = "FHE.add_eint"(%248, %249) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %277 = "FHE.add_eint"(%250, %251) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %278 = "FHE.add_eint"(%252, %253) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %279 = "FHE.add_eint"(%254, %255) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %280 = "FHE.add_eint"(%256, %257) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %281 = "FHE.add_eint"(%258, %259) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %282 = "FHE.add_eint"(%260, %261) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %283 = "FHE.add_eint"(%262, %263) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %284 = "FHE.add_eint"(%264, %265) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %285 = "FHE.add_eint"(%266, %267) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %286 = "FHE.add_eint"(%268, %269) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %287 = "FHE.add_eint"(%270, %271) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_509 = arith.constant dense<"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"> : tensor<256xi64>
-    %288 = "FHE.apply_lookup_table"(%272, %cst_509) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_510 = arith.constant dense<"0x060000000000000008000000000000000E0000000000000006000000000000000F0000000000000006000000000000000E000000000000000100000000000000000000000000000002000000000000000E000000000000000600000000000000070000000000000005000000000000000D000000000000000C000000000000000F000000000000000F0000000000000009000000000000000A000000000000000F0000000000000002000000000000000E000000000000000B00000000000000010000000000000003000000000000000F0000000000000005000000000000000300000000000000030000000000000004000000000000000B00000000000000050000000000000001000000000000000D000000000000000C000000000000000C000000000000000E0000000000000005000000000000000300000000000000080000000000000001000000000000000100000000000000090000000000000002000000000000000B0000000000000002000000000000000A000000000000000800000000000000050000000000000006000000000000000D00000000000000000000000000000007000000000000000A000000000000000F000000000000000E0000000000000004000000000000000B000000000000000F000000000000000D000000000000000E000000000000000F000000000000000A0000000000000002000000000000000D000000000000000800000000000000040000000000000006000000000000000C0000000000000004000000000000000B000000000000000400000000000000060000000000000007000000000000000D0000000000000002000000000000000D000000000000000E0000000000000003000000000000000600000000000000090000000000000000000000000000000100000000000000000000000000000003000000000000000900000000000000060000000000000004000000000000000D000000000000000700000000000000020000000000000004000000000000000800000000000000000000000000000005000000000000000B0000000000000005000000000000000F000000000000000D0000000000000006000000000000000A00000000000000060000000000000001000000000000000A00000000000000090000000000000004000000000000000E000000000000000000000000000000080000000000000005000000000000000B0000000000000002000000000000000D00000000000000000000000000000005000000000000000F00000000000000010000000000000000000000000000000100000000000000030000000000000007000000000000000F000000000000000200000000000000000000000000000005000000000000000D000000000000000F0000000000000001000000000000000800000000000000060000000000000003000000000000000E00000000000000050000000000000008000000000000000E00000000000000030000000000000005000000000000000C000000000000000A0000000000000008000000000000000A0000000000000002000000000000000600000000000000000000000000000009000000000000000E000000000000000300000000000000040000000000000004000000000000000B000000000000000B000000000000000C0000000000000007000000000000000B00000000000000080000000000000007000000000000000C0000000000000006000000000000000D000000000000000B0000000000000004000000000000000400000000000000040000000000000002000000000000000C00000000000000080000000000000008000000000000000F000000000000000D0000000000000003000000000000000400000000000000090000000000000001000000000000000300000000000000020000000000000005000000000000000B000000000000000E000000000000000A00000000000000010000000000000001000000000000000C00000000000000090000000000000008000000000000000C0000000000000003000000000000000F000000000000000A000000000000000400000000000000070000000000000000000000000000000F0000000000000000000000000000000A000000000000000C0000000000000008000000000000000700000000000000030000000000000007000000000000000B00000000000000010000000000000008000000000000000E00000000000000060000000000000001000000000000000D000000000000000F0000000000000000000000000000000C0000000000000001000000000000000C000000000000000000000000000000060000000000000007000000000000000C0000000000000002000000000000000A000000000000000E000000000000000900000000000000070000000000000009000000000000000A00000000000000070000000000000009000000000000000B000000000000000B00000000000000020000000000000002000000000000000900000000000000070000000000000003000000000000000D000000000000000C000000000000000500000000000000090000000000000007000000000000000A00000000000000000000000000000005000000000000000300000000000000090000000000000009000000000000000A000000000000000500000000000000070000000000000004000000000000000000000000000000020000000000000009000000000000000A000000000000000E000000000000000B0000000000000008000000000000000D000000000000000C00000000000000"> : tensor<256xi64>
-    %289 = "FHE.apply_lookup_table"(%272, %cst_510) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_511 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %290 = "FHE.apply_lookup_table"(%272, %cst_511) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_512 = arith.constant dense<"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"> : tensor<256xi64>
-    %291 = "FHE.apply_lookup_table"(%272, %cst_512) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_513 = arith.constant dense<"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"> : tensor<256xi64>
-    %292 = "FHE.apply_lookup_table"(%272, %cst_513) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_514 = arith.constant dense<"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"> : tensor<256xi64>
-    %293 = "FHE.apply_lookup_table"(%272, %cst_514) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_515 = arith.constant dense<"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"> : tensor<256xi64>
-    %294 = "FHE.apply_lookup_table"(%272, %cst_515) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_516 = arith.constant dense<"0x03000000000000000C0000000000000007000000000000000B0000000000000002000000000000000B000000000000000F0000000000000005000000000000000000000000000000010000000000000007000000000000000B000000000000000E0000000000000007000000000000000B0000000000000006000000000000000A00000000000000020000000000000009000000000000000D000000000000000A000000000000000900000000000000070000000000000000000000000000000D00000000000000040000000000000002000000000000000F000000000000000C0000000000000004000000000000000200000000000000000000000000000007000000000000000D000000000000000300000000000000060000000000000006000000000000000F0000000000000007000000000000000C000000000000000400000000000000050000000000000005000000000000000100000000000000010000000000000008000000000000000100000000000000050000000000000004000000000000000700000000000000030000000000000003000000000000000800000000000000060000000000000005000000000000000A0000000000000007000000000000000200000000000000000000000000000002000000000000000B00000000000000070000000000000002000000000000000500000000000000090000000000000003000000000000000C000000000000000A000000000000000B000000000000000E000000000000000A00000000000000000000000000000002000000000000000B0000000000000006000000000000000300000000000000090000000000000003000000000000000F0000000000000004000000000000000300000000000000010000000000000000000000000000000D0000000000000000000000000000000C0000000000000001000000000000000B000000000000000A000000000000000B000000000000000E0000000000000009000000000000000A000000000000000C0000000000000008000000000000000F0000000000000000000000000000000F000000000000000A000000000000000B0000000000000003000000000000000D00000000000000030000000000000005000000000000000500000000000000090000000000000002000000000000000F0000000000000000000000000000000C000000000000000F0000000000000008000000000000000100000000000000030000000000000000000000000000000F0000000000000002000000000000000D00000000000000080000000000000005000000000000000C0000000000000006000000000000000A00000000000000010000000000000000000000000000000F00000000000000030000000000000002000000000000000D000000000000000C0000000000000003000000000000000C000000000000000F00000000000000070000000000000004000000000000000700000000000000040000000000000007000000000000000E000000000000000D0000000000000004000000000000000D0000000000000009000000000000000300000000000000000000000000000001000000000000000F000000000000000C0000000000000002000000000000000A000000000000000000000000000000080000000000000006000000000000000E00000000000000080000000000000004000000000000000E000000000000000E000000000000000B000000000000000B00000000000000000000000000000002000000000000000A000000000000000A000000000000000900000000000000060000000000000004000000000000000C00000000000000020000000000000003000000000000000C00000000000000020000000000000001000000000000000500000000000000040000000000000009000000000000000700000000000000080000000000000007000000000000000D000000000000000D0000000000000005000000000000000E0000000000000009000000000000000C00000000000000060000000000000004000000000000000A0000000000000005000000000000000A000000000000000E0000000000000008000000000000000A00000000000000080000000000000005000000000000000E000000000000000C0000000000000006000000000000000400000000000000060000000000000008000000000000000D0000000000000004000000000000000F000000000000000B000000000000000D000000000000000B000000000000000A0000000000000000000000000000000E00000000000000050000000000000006000000000000000800000000000000030000000000000006000000000000000E000000000000000100000000000000050000000000000007000000000000000900000000000000060000000000000001000000000000000D000000000000000E000000000000000100000000000000080000000000000008000000000000000100000000000000090000000000000009000000000000000E0000000000000004000000000000000B000000000000000E00000000000000070000000000000009000000000000000E00000000000000050000000000000008000000000000000F000000000000000C00000000000000010000000000000009000000000000000D000000000000000F00000000000000060000000000000002000000000000000800000000000000010000000000000009000000000000000D000000000000000F00000000000000000000000000000004000000000000000B000000000000000600000000000000"> : tensor<256xi64>
-    %295 = "FHE.apply_lookup_table"(%272, %cst_516) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_517 = arith.constant dense<"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"> : tensor<256xi64>
-    %296 = "FHE.apply_lookup_table"(%273, %cst_517) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_518 = arith.constant dense<"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"> : tensor<256xi64>
-    %297 = "FHE.apply_lookup_table"(%273, %cst_518) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_519 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %298 = "FHE.apply_lookup_table"(%273, %cst_519) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_520 = arith.constant dense<"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"> : tensor<256xi64>
-    %299 = "FHE.apply_lookup_table"(%273, %cst_520) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_521 = arith.constant dense<"0x06000000000000000700000000000000070000000000000007000000000000000F00000000000000060000000000000006000000000000000C0000000000000003000000000000000000000000000000060000000000000002000000000000000F000000000000000D000000000000000A0000000000000007000000000000000C0000000000000008000000000000000C0000000000000007000000000000000F00000000000000050000000000000004000000000000000F000000000000000A000000000000000D000000000000000A000000000000000A0000000000000009000000000000000A0000000000000007000000000000000C000000000000000B000000000000000F0000000000000009000000000000000200000000000000030000000000000003000000000000000F000000000000000C0000000000000003000000000000000A000000000000000E000000000000000F0000000000000007000000000000000D000000000000000300000000000000010000000000000000000000000000000C0000000000000002000000000000000C0000000000000001000000000000000900000000000000000000000000000009000000000000000000000000000000010000000000000008000000000000000E000000000000000E0000000000000002000000000000000B00000000000000070000000000000000000000000000000800000000000000020000000000000001000000000000000100000000000000060000000000000005000000000000000A00000000000000050000000000000003000000000000000D000000000000000B0000000000000002000000000000000E000000000000000200000000000000080000000000000005000000000000000D0000000000000000000000000000000E0000000000000002000000000000000F000000000000000B00000000000000050000000000000006000000000000000C000000000000000B0000000000000003000000000000000400000000000000040000000000000005000000000000000C000000000000000D000000000000000E000000000000000A000000000000000F00000000000000040000000000000004000000000000000300000000000000080000000000000004000000000000000F00000000000000000000000000000007000000000000000500000000000000030000000000000009000000000000000A0000000000000005000000000000000A00000000000000040000000000000008000000000000000900000000000000090000000000000003000000000000000F000000000000000B000000000000000B000000000000000D00000000000000020000000000000001000000000000000F000000000000000F000000000000000D000000000000000C00000000000000000000000000000001000000000000000E0000000000000005000000000000000900000000000000040000000000000001000000000000000C000000000000000A000000000000000700000000000000030000000000000006000000000000000500000000000000010000000000000007000000000000000600000000000000080000000000000004000000000000000D00000000000000020000000000000002000000000000000900000000000000080000000000000004000000000000000E000000000000000B0000000000000001000000000000000D00000000000000050000000000000000000000000000000D000000000000000E0000000000000003000000000000000300000000000000000000000000000004000000000000000000000000000000020000000000000005000000000000000C000000000000000D000000000000000A000000000000000600000000000000090000000000000009000000000000000E0000000000000007000000000000000E000000000000000C000000000000000300000000000000060000000000000008000000000000000D0000000000000004000000000000000A00000000000000060000000000000005000000000000000F000000000000000E00000000000000060000000000000007000000000000000A0000000000000000000000000000000B0000000000000007000000000000000200000000000000020000000000000001000000000000000A000000000000000B000000000000000C000000000000000E000000000000000D000000000000000700000000000000010000000000000004000000000000000B0000000000000008000000000000000800000000000000070000000000000003000000000000000B000000000000000600000000000000040000000000000000000000000000000F0000000000000000000000000000000600000000000000030000000000000005000000000000000B0000000000000008000000000000000C00000000000000010000000000000009000000000000000E000000000000000F000000000000000900000000000000010000000000000006000000000000000D00000000000000080000000000000009000000000000000900000000000000010000000000000008000000000000000E000000000000000C00000000000000050000000000000002000000000000000D0000000000000008000000000000000A00000000000000080000000000000000000000000000000B000000000000000E000000000000000400000000000000060000000000000004000000000000000900000000000000020000000000000000000000000000000B0000000000000005000000000000000B000000000000000100000000000000"> : tensor<256xi64>
-    %300 = "FHE.apply_lookup_table"(%273, %cst_521) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_522 = arith.constant dense<"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"> : tensor<256xi64>
-    %301 = "FHE.apply_lookup_table"(%273, %cst_522) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_523 = arith.constant dense<"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"> : tensor<256xi64>
-    %302 = "FHE.apply_lookup_table"(%273, %cst_523) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_524 = arith.constant dense<"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"> : tensor<256xi64>
-    %303 = "FHE.apply_lookup_table"(%273, %cst_524) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_525 = arith.constant dense<"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"> : tensor<256xi64>
-    %304 = "FHE.apply_lookup_table"(%274, %cst_525) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_526 = arith.constant dense<"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"> : tensor<256xi64>
-    %305 = "FHE.apply_lookup_table"(%274, %cst_526) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_527 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %306 = "FHE.apply_lookup_table"(%274, %cst_527) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_528 = arith.constant dense<"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"> : tensor<256xi64>
-    %307 = "FHE.apply_lookup_table"(%274, %cst_528) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_529 = arith.constant dense<"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"> : tensor<256xi64>
-    %308 = "FHE.apply_lookup_table"(%274, %cst_529) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_530 = arith.constant dense<"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"> : tensor<256xi64>
-    %309 = "FHE.apply_lookup_table"(%274, %cst_530) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_531 = arith.constant dense<"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"> : tensor<256xi64>
-    %310 = "FHE.apply_lookup_table"(%274, %cst_531) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_532 = arith.constant dense<"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"> : tensor<256xi64>
-    %311 = "FHE.apply_lookup_table"(%274, %cst_532) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_533 = arith.constant dense<"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"> : tensor<256xi64>
-    %312 = "FHE.apply_lookup_table"(%275, %cst_533) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_534 = arith.constant dense<"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"> : tensor<256xi64>
-    %313 = "FHE.apply_lookup_table"(%275, %cst_534) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_535 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %314 = "FHE.apply_lookup_table"(%275, %cst_535) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_536 = arith.constant dense<"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"> : tensor<256xi64>
-    %315 = "FHE.apply_lookup_table"(%275, %cst_536) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_537 = arith.constant dense<"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"> : tensor<256xi64>
-    %316 = "FHE.apply_lookup_table"(%275, %cst_537) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_538 = arith.constant dense<"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"> : tensor<256xi64>
-    %317 = "FHE.apply_lookup_table"(%275, %cst_538) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_539 = arith.constant dense<"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"> : tensor<256xi64>
-    %318 = "FHE.apply_lookup_table"(%275, %cst_539) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_540 = arith.constant dense<"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"> : tensor<256xi64>
-    %319 = "FHE.apply_lookup_table"(%275, %cst_540) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_541 = arith.constant dense<"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"> : tensor<256xi64>
-    %320 = "FHE.apply_lookup_table"(%276, %cst_541) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_542 = arith.constant dense<"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"> : tensor<256xi64>
-    %321 = "FHE.apply_lookup_table"(%276, %cst_542) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_543 = arith.constant dense<"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"> : tensor<256xi64>
-    %322 = "FHE.apply_lookup_table"(%276, %cst_543) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_544 = arith.constant dense<"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"> : tensor<256xi64>
-    %323 = "FHE.apply_lookup_table"(%276, %cst_544) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_545 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %324 = "FHE.apply_lookup_table"(%276, %cst_545) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_546 = arith.constant dense<"0x0500000000000000040000000000000009000000000000000D000000000000000D000000000000000D00000000000000010000000000000004000000000000000000000000000000030000000000000009000000000000000D000000000000000900000000000000020000000000000006000000000000000A0000000000000005000000000000000D000000000000000000000000000000070000000000000005000000000000000B0000000000000009000000000000000B000000000000000C0000000000000007000000000000000D000000000000000A000000000000000F00000000000000070000000000000006000000000000000B0000000000000002000000000000000C000000000000000E000000000000000A000000000000000A00000000000000010000000000000002000000000000000F000000000000000C000000000000000400000000000000040000000000000008000000000000000300000000000000030000000000000003000000000000000F000000000000000C00000000000000020000000000000005000000000000000E00000000000000080000000000000001000000000000000F000000000000000500000000000000090000000000000006000000000000000B000000000000000D00000000000000060000000000000009000000000000000D000000000000000F000000000000000B000000000000000E0000000000000004000000000000000E000000000000000D0000000000000002000000000000000E000000000000000B0000000000000006000000000000000D0000000000000001000000000000000E000000000000000B000000000000000E00000000000000010000000000000007000000000000000500000000000000080000000000000000000000000000000C0000000000000000000000000000000F0000000000000008000000000000000D000000000000000E00000000000000060000000000000009000000000000000B000000000000000E00000000000000040000000000000008000000000000000A000000000000000B000000000000000A000000000000000500000000000000060000000000000005000000000000000700000000000000050000000000000004000000000000000F00000000000000000000000000000006000000000000000100000000000000000000000000000004000000000000000A00000000000000030000000000000003000000000000000E0000000000000000000000000000000A000000000000000D000000000000000C00000000000000080000000000000004000000000000000F0000000000000001000000000000000500000000000000030000000000000000000000000000000A000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000F00000000000000010000000000000002000000000000000C00000000000000090000000000000007000000000000000200000000000000020000000000000007000000000000000C0000000000000007000000000000000B0000000000000005000000000000000000000000000000080000000000000001000000000000000F0000000000000006000000000000000E000000000000000B0000000000000003000000000000000A00000000000000090000000000000003000000000000000C00000000000000090000000000000002000000000000000D0000000000000006000000000000000B0000000000000006000000000000000E000000000000000E000000000000000B000000000000000A000000000000000C0000000000000004000000000000000D000000000000000E000000000000000F0000000000000006000000000000000800000000000000040000000000000007000000000000000B0000000000000002000000000000000300000000000000090000000000000007000000000000000C0000000000000004000000000000000200000000000000000000000000000004000000000000000A00000000000000070000000000000005000000000000000F000000000000000E0000000000000009000000000000000800000000000000050000000000000008000000000000000F000000000000000200000000000000040000000000000001000000000000000700000000000000010000000000000003000000000000000C000000000000000C0000000000000001000000000000000D000000000000000C00000000000000060000000000000005000000000000000000000000000000020000000000000004000000000000000A00000000000000080000000000000005000000000000000100000000000000020000000000000003000000000000000F0000000000000009000000000000000000000000000000010000000000000008000000000000000700000000000000090000000000000008000000000000000300000000000000030000000000000003000000000000000B00000000000000000000000000000009000000000000000700000000000000060000000000000002000000000000000200000000000000000000000000000009000000000000000F0000000000000008000000000000000A000000000000000F000000000000000800000000000000000000000000000007000000000000000A0000000000000001000000000000000600000000000000080000000000000003000000000000000000000000000000070000000000000001000000000000000B000000000000000C0000000000000006000000000000000A00000000000000"> : tensor<256xi64>
-    %325 = "FHE.apply_lookup_table"(%276, %cst_546) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_547 = arith.constant dense<"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"> : tensor<256xi64>
-    %326 = "FHE.apply_lookup_table"(%276, %cst_547) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_548 = arith.constant dense<"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"> : tensor<256xi64>
-    %327 = "FHE.apply_lookup_table"(%276, %cst_548) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_549 = arith.constant dense<"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"> : tensor<256xi64>
-    %328 = "FHE.apply_lookup_table"(%277, %cst_549) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_550 = arith.constant dense<"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"> : tensor<256xi64>
-    %329 = "FHE.apply_lookup_table"(%277, %cst_550) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_551 = arith.constant dense<"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"> : tensor<256xi64>
-    %330 = "FHE.apply_lookup_table"(%277, %cst_551) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_552 = arith.constant dense<"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"> : tensor<256xi64>
-    %331 = "FHE.apply_lookup_table"(%277, %cst_552) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_553 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %332 = "FHE.apply_lookup_table"(%277, %cst_553) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_554 = arith.constant dense<"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"> : tensor<256xi64>
-    %333 = "FHE.apply_lookup_table"(%277, %cst_554) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_555 = arith.constant dense<"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"> : tensor<256xi64>
-    %334 = "FHE.apply_lookup_table"(%277, %cst_555) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_556 = arith.constant dense<"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"> : tensor<256xi64>
-    %335 = "FHE.apply_lookup_table"(%277, %cst_556) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_557 = arith.constant dense<"0x06000000000000000700000000000000070000000000000007000000000000000F00000000000000060000000000000006000000000000000C0000000000000003000000000000000000000000000000060000000000000002000000000000000F000000000000000D000000000000000A0000000000000007000000000000000C0000000000000008000000000000000C0000000000000007000000000000000F00000000000000050000000000000004000000000000000F000000000000000A000000000000000D000000000000000A000000000000000A0000000000000009000000000000000A0000000000000007000000000000000C000000000000000B000000000000000F0000000000000009000000000000000200000000000000030000000000000003000000000000000F000000000000000C0000000000000003000000000000000A000000000000000E000000000000000F0000000000000007000000000000000D000000000000000300000000000000010000000000000000000000000000000C0000000000000002000000000000000C0000000000000001000000000000000900000000000000000000000000000009000000000000000000000000000000010000000000000008000000000000000E000000000000000E0000000000000002000000000000000B00000000000000070000000000000000000000000000000800000000000000020000000000000001000000000000000100000000000000060000000000000005000000000000000A00000000000000050000000000000003000000000000000D000000000000000B0000000000000002000000000000000E000000000000000200000000000000080000000000000005000000000000000D0000000000000000000000000000000E0000000000000002000000000000000F000000000000000B00000000000000050000000000000006000000000000000C000000000000000B0000000000000003000000000000000400000000000000040000000000000005000000000000000C000000000000000D000000000000000E000000000000000A000000000000000F00000000000000040000000000000004000000000000000300000000000000080000000000000004000000000000000F00000000000000000000000000000007000000000000000500000000000000030000000000000009000000000000000A0000000000000005000000000000000A00000000000000040000000000000008000000000000000900000000000000090000000000000003000000000000000F000000000000000B000000000000000B000000000000000D00000000000000020000000000000001000000000000000F000000000000000F000000000000000D000000000000000C00000000000000000000000000000001000000000000000E0000000000000005000000000000000900000000000000040000000000000001000000000000000C000000000000000A000000000000000700000000000000030000000000000006000000000000000500000000000000010000000000000007000000000000000600000000000000080000000000000004000000000000000D00000000000000020000000000000002000000000000000900000000000000080000000000000004000000000000000E000000000000000B0000000000000001000000000000000D00000000000000050000000000000000000000000000000D000000000000000E0000000000000003000000000000000300000000000000000000000000000004000000000000000000000000000000020000000000000005000000000000000C000000000000000D000000000000000A000000000000000600000000000000090000000000000009000000000000000E0000000000000007000000000000000E000000000000000C000000000000000300000000000000060000000000000008000000000000000D0000000000000004000000000000000A00000000000000060000000000000005000000000000000F000000000000000E00000000000000060000000000000007000000000000000A0000000000000000000000000000000B0000000000000007000000000000000200000000000000020000000000000001000000000000000A000000000000000B000000000000000C000000000000000E000000000000000D000000000000000700000000000000010000000000000004000000000000000B0000000000000008000000000000000800000000000000070000000000000003000000000000000B000000000000000600000000000000040000000000000000000000000000000F0000000000000000000000000000000600000000000000030000000000000005000000000000000B0000000000000008000000000000000C00000000000000010000000000000009000000000000000E000000000000000F000000000000000900000000000000010000000000000006000000000000000D00000000000000080000000000000009000000000000000900000000000000010000000000000008000000000000000E000000000000000C00000000000000050000000000000002000000000000000D0000000000000008000000000000000A00000000000000080000000000000000000000000000000B000000000000000E000000000000000400000000000000060000000000000004000000000000000900000000000000020000000000000000000000000000000B0000000000000005000000000000000B000000000000000100000000000000"> : tensor<256xi64>
-    %336 = "FHE.apply_lookup_table"(%278, %cst_557) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_558 = arith.constant dense<"0x03000000000000000C0000000000000007000000000000000B0000000000000002000000000000000B000000000000000F0000000000000005000000000000000000000000000000010000000000000007000000000000000B000000000000000E0000000000000007000000000000000B0000000000000006000000000000000A00000000000000020000000000000009000000000000000D000000000000000A000000000000000900000000000000070000000000000000000000000000000D00000000000000040000000000000002000000000000000F000000000000000C0000000000000004000000000000000200000000000000000000000000000007000000000000000D000000000000000300000000000000060000000000000006000000000000000F0000000000000007000000000000000C000000000000000400000000000000050000000000000005000000000000000100000000000000010000000000000008000000000000000100000000000000050000000000000004000000000000000700000000000000030000000000000003000000000000000800000000000000060000000000000005000000000000000A0000000000000007000000000000000200000000000000000000000000000002000000000000000B00000000000000070000000000000002000000000000000500000000000000090000000000000003000000000000000C000000000000000A000000000000000B000000000000000E000000000000000A00000000000000000000000000000002000000000000000B0000000000000006000000000000000300000000000000090000000000000003000000000000000F0000000000000004000000000000000300000000000000010000000000000000000000000000000D0000000000000000000000000000000C0000000000000001000000000000000B000000000000000A000000000000000B000000000000000E0000000000000009000000000000000A000000000000000C0000000000000008000000000000000F0000000000000000000000000000000F000000000000000A000000000000000B0000000000000003000000000000000D00000000000000030000000000000005000000000000000500000000000000090000000000000002000000000000000F0000000000000000000000000000000C000000000000000F0000000000000008000000000000000100000000000000030000000000000000000000000000000F0000000000000002000000000000000D00000000000000080000000000000005000000000000000C0000000000000006000000000000000A00000000000000010000000000000000000000000000000F00000000000000030000000000000002000000000000000D000000000000000C0000000000000003000000000000000C000000000000000F00000000000000070000000000000004000000000000000700000000000000040000000000000007000000000000000E000000000000000D0000000000000004000000000000000D0000000000000009000000000000000300000000000000000000000000000001000000000000000F000000000000000C0000000000000002000000000000000A000000000000000000000000000000080000000000000006000000000000000E00000000000000080000000000000004000000000000000E000000000000000E000000000000000B000000000000000B00000000000000000000000000000002000000000000000A000000000000000A000000000000000900000000000000060000000000000004000000000000000C00000000000000020000000000000003000000000000000C00000000000000020000000000000001000000000000000500000000000000040000000000000009000000000000000700000000000000080000000000000007000000000000000D000000000000000D0000000000000005000000000000000E0000000000000009000000000000000C00000000000000060000000000000004000000000000000A0000000000000005000000000000000A000000000000000E0000000000000008000000000000000A00000000000000080000000000000005000000000000000E000000000000000C0000000000000006000000000000000400000000000000060000000000000008000000000000000D0000000000000004000000000000000F000000000000000B000000000000000D000000000000000B000000000000000A0000000000000000000000000000000E00000000000000050000000000000006000000000000000800000000000000030000000000000006000000000000000E000000000000000100000000000000050000000000000007000000000000000900000000000000060000000000000001000000000000000D000000000000000E000000000000000100000000000000080000000000000008000000000000000100000000000000090000000000000009000000000000000E0000000000000004000000000000000B000000000000000E00000000000000070000000000000009000000000000000E00000000000000050000000000000008000000000000000F000000000000000C00000000000000010000000000000009000000000000000D000000000000000F00000000000000060000000000000002000000000000000800000000000000010000000000000009000000000000000D000000000000000F00000000000000000000000000000004000000000000000B000000000000000600000000000000"> : tensor<256xi64>
-    %337 = "FHE.apply_lookup_table"(%278, %cst_558) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_559 = arith.constant dense<"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"> : tensor<256xi64>
-    %338 = "FHE.apply_lookup_table"(%278, %cst_559) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_560 = arith.constant dense<"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"> : tensor<256xi64>
-    %339 = "FHE.apply_lookup_table"(%278, %cst_560) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_561 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %340 = "FHE.apply_lookup_table"(%278, %cst_561) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_562 = arith.constant dense<"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"> : tensor<256xi64>
-    %341 = "FHE.apply_lookup_table"(%278, %cst_562) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_563 = arith.constant dense<"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"> : tensor<256xi64>
-    %342 = "FHE.apply_lookup_table"(%278, %cst_563) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_564 = arith.constant dense<"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"> : tensor<256xi64>
-    %343 = "FHE.apply_lookup_table"(%278, %cst_564) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_565 = arith.constant dense<"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"> : tensor<256xi64>
-    %344 = "FHE.apply_lookup_table"(%279, %cst_565) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_566 = arith.constant dense<"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"> : tensor<256xi64>
-    %345 = "FHE.apply_lookup_table"(%279, %cst_566) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_567 = arith.constant dense<"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"> : tensor<256xi64>
-    %346 = "FHE.apply_lookup_table"(%279, %cst_567) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_568 = arith.constant dense<"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"> : tensor<256xi64>
-    %347 = "FHE.apply_lookup_table"(%279, %cst_568) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_569 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %348 = "FHE.apply_lookup_table"(%279, %cst_569) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_570 = arith.constant dense<"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"> : tensor<256xi64>
-    %349 = "FHE.apply_lookup_table"(%279, %cst_570) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_571 = arith.constant dense<"0x06000000000000000700000000000000070000000000000007000000000000000F00000000000000060000000000000006000000000000000C0000000000000003000000000000000000000000000000060000000000000002000000000000000F000000000000000D000000000000000A0000000000000007000000000000000C0000000000000008000000000000000C0000000000000007000000000000000F00000000000000050000000000000004000000000000000F000000000000000A000000000000000D000000000000000A000000000000000A0000000000000009000000000000000A0000000000000007000000000000000C000000000000000B000000000000000F0000000000000009000000000000000200000000000000030000000000000003000000000000000F000000000000000C0000000000000003000000000000000A000000000000000E000000000000000F0000000000000007000000000000000D000000000000000300000000000000010000000000000000000000000000000C0000000000000002000000000000000C0000000000000001000000000000000900000000000000000000000000000009000000000000000000000000000000010000000000000008000000000000000E000000000000000E0000000000000002000000000000000B00000000000000070000000000000000000000000000000800000000000000020000000000000001000000000000000100000000000000060000000000000005000000000000000A00000000000000050000000000000003000000000000000D000000000000000B0000000000000002000000000000000E000000000000000200000000000000080000000000000005000000000000000D0000000000000000000000000000000E0000000000000002000000000000000F000000000000000B00000000000000050000000000000006000000000000000C000000000000000B0000000000000003000000000000000400000000000000040000000000000005000000000000000C000000000000000D000000000000000E000000000000000A000000000000000F00000000000000040000000000000004000000000000000300000000000000080000000000000004000000000000000F00000000000000000000000000000007000000000000000500000000000000030000000000000009000000000000000A0000000000000005000000000000000A00000000000000040000000000000008000000000000000900000000000000090000000000000003000000000000000F000000000000000B000000000000000B000000000000000D00000000000000020000000000000001000000000000000F000000000000000F000000000000000D000000000000000C00000000000000000000000000000001000000000000000E0000000000000005000000000000000900000000000000040000000000000001000000000000000C000000000000000A000000000000000700000000000000030000000000000006000000000000000500000000000000010000000000000007000000000000000600000000000000080000000000000004000000000000000D00000000000000020000000000000002000000000000000900000000000000080000000000000004000000000000000E000000000000000B0000000000000001000000000000000D00000000000000050000000000000000000000000000000D000000000000000E0000000000000003000000000000000300000000000000000000000000000004000000000000000000000000000000020000000000000005000000000000000C000000000000000D000000000000000A000000000000000600000000000000090000000000000009000000000000000E0000000000000007000000000000000E000000000000000C000000000000000300000000000000060000000000000008000000000000000D0000000000000004000000000000000A00000000000000060000000000000005000000000000000F000000000000000E00000000000000060000000000000007000000000000000A0000000000000000000000000000000B0000000000000007000000000000000200000000000000020000000000000001000000000000000A000000000000000B000000000000000C000000000000000E000000000000000D000000000000000700000000000000010000000000000004000000000000000B0000000000000008000000000000000800000000000000070000000000000003000000000000000B000000000000000600000000000000040000000000000000000000000000000F0000000000000000000000000000000600000000000000030000000000000005000000000000000B0000000000000008000000000000000C00000000000000010000000000000009000000000000000E000000000000000F000000000000000900000000000000010000000000000006000000000000000D00000000000000080000000000000009000000000000000900000000000000010000000000000008000000000000000E000000000000000C00000000000000050000000000000002000000000000000D0000000000000008000000000000000A00000000000000080000000000000000000000000000000B000000000000000E000000000000000400000000000000060000000000000004000000000000000900000000000000020000000000000000000000000000000B0000000000000005000000000000000B000000000000000100000000000000"> : tensor<256xi64>
-    %350 = "FHE.apply_lookup_table"(%279, %cst_571) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_572 = arith.constant dense<"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"> : tensor<256xi64>
-    %351 = "FHE.apply_lookup_table"(%279, %cst_572) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_573 = arith.constant dense<"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"> : tensor<256xi64>
-    %352 = "FHE.apply_lookup_table"(%280, %cst_573) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_574 = arith.constant dense<"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"> : tensor<256xi64>
-    %353 = "FHE.apply_lookup_table"(%280, %cst_574) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_575 = arith.constant dense<"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"> : tensor<256xi64>
-    %354 = "FHE.apply_lookup_table"(%280, %cst_575) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_576 = arith.constant dense<"0x03000000000000000C0000000000000007000000000000000B0000000000000002000000000000000B000000000000000F0000000000000005000000000000000000000000000000010000000000000007000000000000000B000000000000000E0000000000000007000000000000000B0000000000000006000000000000000A00000000000000020000000000000009000000000000000D000000000000000A000000000000000900000000000000070000000000000000000000000000000D00000000000000040000000000000002000000000000000F000000000000000C0000000000000004000000000000000200000000000000000000000000000007000000000000000D000000000000000300000000000000060000000000000006000000000000000F0000000000000007000000000000000C000000000000000400000000000000050000000000000005000000000000000100000000000000010000000000000008000000000000000100000000000000050000000000000004000000000000000700000000000000030000000000000003000000000000000800000000000000060000000000000005000000000000000A0000000000000007000000000000000200000000000000000000000000000002000000000000000B00000000000000070000000000000002000000000000000500000000000000090000000000000003000000000000000C000000000000000A000000000000000B000000000000000E000000000000000A00000000000000000000000000000002000000000000000B0000000000000006000000000000000300000000000000090000000000000003000000000000000F0000000000000004000000000000000300000000000000010000000000000000000000000000000D0000000000000000000000000000000C0000000000000001000000000000000B000000000000000A000000000000000B000000000000000E0000000000000009000000000000000A000000000000000C0000000000000008000000000000000F0000000000000000000000000000000F000000000000000A000000000000000B0000000000000003000000000000000D00000000000000030000000000000005000000000000000500000000000000090000000000000002000000000000000F0000000000000000000000000000000C000000000000000F0000000000000008000000000000000100000000000000030000000000000000000000000000000F0000000000000002000000000000000D00000000000000080000000000000005000000000000000C0000000000000006000000000000000A00000000000000010000000000000000000000000000000F00000000000000030000000000000002000000000000000D000000000000000C0000000000000003000000000000000C000000000000000F00000000000000070000000000000004000000000000000700000000000000040000000000000007000000000000000E000000000000000D0000000000000004000000000000000D0000000000000009000000000000000300000000000000000000000000000001000000000000000F000000000000000C0000000000000002000000000000000A000000000000000000000000000000080000000000000006000000000000000E00000000000000080000000000000004000000000000000E000000000000000E000000000000000B000000000000000B00000000000000000000000000000002000000000000000A000000000000000A000000000000000900000000000000060000000000000004000000000000000C00000000000000020000000000000003000000000000000C00000000000000020000000000000001000000000000000500000000000000040000000000000009000000000000000700000000000000080000000000000007000000000000000D000000000000000D0000000000000005000000000000000E0000000000000009000000000000000C00000000000000060000000000000004000000000000000A0000000000000005000000000000000A000000000000000E0000000000000008000000000000000A00000000000000080000000000000005000000000000000E000000000000000C0000000000000006000000000000000400000000000000060000000000000008000000000000000D0000000000000004000000000000000F000000000000000B000000000000000D000000000000000B000000000000000A0000000000000000000000000000000E00000000000000050000000000000006000000000000000800000000000000030000000000000006000000000000000E000000000000000100000000000000050000000000000007000000000000000900000000000000060000000000000001000000000000000D000000000000000E000000000000000100000000000000080000000000000008000000000000000100000000000000090000000000000009000000000000000E0000000000000004000000000000000B000000000000000E00000000000000070000000000000009000000000000000E00000000000000050000000000000008000000000000000F000000000000000C00000000000000010000000000000009000000000000000D000000000000000F00000000000000060000000000000002000000000000000800000000000000010000000000000009000000000000000D000000000000000F00000000000000000000000000000004000000000000000B000000000000000600000000000000"> : tensor<256xi64>
-    %355 = "FHE.apply_lookup_table"(%280, %cst_576) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_577 = arith.constant dense<"0x0C000000000000000F000000000000000E000000000000000F000000000000000F000000000000000D000000000000000D000000000000000900000000000000060000000000000000000000000000000C0000000000000005000000000000000E000000000000000B0000000000000004000000000000000E000000000000000800000000000000010000000000000008000000000000000F000000000000000E000000000000000B0000000000000008000000000000000F0000000000000004000000000000000B0000000000000005000000000000000400000000000000020000000000000005000000000000000E00000000000000090000000000000007000000000000000E0000000000000003000000000000000400000000000000060000000000000007000000000000000F000000000000000800000000000000060000000000000005000000000000000D000000000000000F000000000000000E000000000000000A0000000000000006000000000000000200000000000000000000000000000009000000000000000400000000000000090000000000000003000000000000000300000000000000000000000000000002000000000000000000000000000000020000000000000001000000000000000D000000000000000C00000000000000040000000000000007000000000000000E00000000000000010000000000000001000000000000000500000000000000030000000000000003000000000000000D000000000000000B0000000000000005000000000000000A0000000000000007000000000000000B00000000000000070000000000000005000000000000000D00000000000000050000000000000001000000000000000A000000000000000B0000000000000000000000000000000C0000000000000004000000000000000E0000000000000007000000000000000B000000000000000D00000000000000080000000000000006000000000000000700000000000000090000000000000009000000000000000B0000000000000008000000000000000B000000000000000C0000000000000004000000000000000E00000000000000080000000000000009000000000000000600000000000000010000000000000008000000000000000E0000000000000000000000000000000F000000000000000A000000000000000700000000000000020000000000000004000000000000000A000000000000000500000000000000080000000000000000000000000000000300000000000000020000000000000007000000000000000F00000000000000060000000000000007000000000000000A00000000000000040000000000000002000000000000000E000000000000000F000000000000000B000000000000000800000000000000010000000000000002000000000000000C000000000000000B00000000000000030000000000000008000000000000000200000000000000090000000000000005000000000000000F0000000000000007000000000000000C000000000000000B0000000000000003000000000000000E000000000000000C00000000000000010000000000000009000000000000000A00000000000000040000000000000005000000000000000300000000000000000000000000000008000000000000000C00000000000000060000000000000002000000000000000A000000000000000B0000000000000001000000000000000A000000000000000D000000000000000600000000000000070000000000000001000000000000000900000000000000000000000000000004000000000000000B0000000000000009000000000000000B0000000000000004000000000000000C00000000000000030000000000000003000000000000000D000000000000000F000000000000000D00000000000000080000000000000006000000000000000D0000000000000000000000000000000B00000000000000090000000000000004000000000000000D000000000000000A000000000000000F000000000000000C000000000000000C000000000000000F000000000000000400000000000000010000000000000006000000000000000F000000000000000400000000000000050000000000000003000000000000000500000000000000070000000000000009000000000000000C000000000000000A000000000000000E00000000000000030000000000000009000000000000000600000000000000000000000000000000000000000000000E00000000000000070000000000000007000000000000000C00000000000000090000000000000000000000000000000F0000000000000001000000000000000C0000000000000006000000000000000A00000000000000060000000000000001000000000000000900000000000000030000000000000002000000000000000D000000000000000E00000000000000020000000000000002000000000000000D000000000000000A00000000000000000000000000000003000000000000000200000000000000030000000000000001000000000000000C0000000000000008000000000000000A0000000000000005000000000000000A00000000000000000000000000000005000000000000000000000000000000010000000000000006000000000000000D0000000000000008000000000000000D00000000000000080000000000000002000000000000000500000000000000010000000000000007000000000000000A0000000000000006000000000000000200000000000000"> : tensor<256xi64>
-    %356 = "FHE.apply_lookup_table"(%280, %cst_577) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_578 = arith.constant dense<"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"> : tensor<256xi64>
-    %357 = "FHE.apply_lookup_table"(%280, %cst_578) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_579 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %358 = "FHE.apply_lookup_table"(%280, %cst_579) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_580 = arith.constant dense<"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"> : tensor<256xi64>
-    %359 = "FHE.apply_lookup_table"(%280, %cst_580) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_581 = arith.constant dense<"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"> : tensor<256xi64>
-    %360 = "FHE.apply_lookup_table"(%281, %cst_581) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_582 = arith.constant dense<"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"> : tensor<256xi64>
-    %361 = "FHE.apply_lookup_table"(%281, %cst_582) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_583 = arith.constant dense<"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"> : tensor<256xi64>
-    %362 = "FHE.apply_lookup_table"(%281, %cst_583) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_584 = arith.constant dense<"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"> : tensor<256xi64>
-    %363 = "FHE.apply_lookup_table"(%281, %cst_584) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_585 = arith.constant dense<"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"> : tensor<256xi64>
-    %364 = "FHE.apply_lookup_table"(%281, %cst_585) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_586 = arith.constant dense<"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"> : tensor<256xi64>
-    %365 = "FHE.apply_lookup_table"(%281, %cst_586) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_587 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %366 = "FHE.apply_lookup_table"(%281, %cst_587) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_588 = arith.constant dense<"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"> : tensor<256xi64>
-    %367 = "FHE.apply_lookup_table"(%281, %cst_588) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_589 = arith.constant dense<"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"> : tensor<256xi64>
-    %368 = "FHE.apply_lookup_table"(%282, %cst_589) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_590 = arith.constant dense<"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"> : tensor<256xi64>
-    %369 = "FHE.apply_lookup_table"(%282, %cst_590) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_591 = arith.constant dense<"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"> : tensor<256xi64>
-    %370 = "FHE.apply_lookup_table"(%282, %cst_591) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_592 = arith.constant dense<"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"> : tensor<256xi64>
-    %371 = "FHE.apply_lookup_table"(%282, %cst_592) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_593 = arith.constant dense<"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"> : tensor<256xi64>
-    %372 = "FHE.apply_lookup_table"(%282, %cst_593) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_594 = arith.constant dense<"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"> : tensor<256xi64>
-    %373 = "FHE.apply_lookup_table"(%282, %cst_594) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_595 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %374 = "FHE.apply_lookup_table"(%282, %cst_595) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_596 = arith.constant dense<"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"> : tensor<256xi64>
-    %375 = "FHE.apply_lookup_table"(%282, %cst_596) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_597 = arith.constant dense<"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"> : tensor<256xi64>
-    %376 = "FHE.apply_lookup_table"(%283, %cst_597) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_598 = arith.constant dense<"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"> : tensor<256xi64>
-    %377 = "FHE.apply_lookup_table"(%283, %cst_598) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_599 = arith.constant dense<"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"> : tensor<256xi64>
-    %378 = "FHE.apply_lookup_table"(%283, %cst_599) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_600 = arith.constant dense<"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"> : tensor<256xi64>
-    %379 = "FHE.apply_lookup_table"(%283, %cst_600) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_601 = arith.constant dense<"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"> : tensor<256xi64>
-    %380 = "FHE.apply_lookup_table"(%283, %cst_601) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_602 = arith.constant dense<"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"> : tensor<256xi64>
-    %381 = "FHE.apply_lookup_table"(%283, %cst_602) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_603 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %382 = "FHE.apply_lookup_table"(%283, %cst_603) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_604 = arith.constant dense<"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"> : tensor<256xi64>
-    %383 = "FHE.apply_lookup_table"(%283, %cst_604) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_605 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %384 = "FHE.apply_lookup_table"(%284, %cst_605) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_606 = arith.constant dense<"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"> : tensor<256xi64>
-    %385 = "FHE.apply_lookup_table"(%284, %cst_606) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_607 = arith.constant dense<"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"> : tensor<256xi64>
-    %386 = "FHE.apply_lookup_table"(%284, %cst_607) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_608 = arith.constant dense<"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"> : tensor<256xi64>
-    %387 = "FHE.apply_lookup_table"(%284, %cst_608) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_609 = arith.constant dense<"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"> : tensor<256xi64>
-    %388 = "FHE.apply_lookup_table"(%284, %cst_609) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_610 = arith.constant dense<"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"> : tensor<256xi64>
-    %389 = "FHE.apply_lookup_table"(%284, %cst_610) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_611 = arith.constant dense<"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"> : tensor<256xi64>
-    %390 = "FHE.apply_lookup_table"(%284, %cst_611) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_612 = arith.constant dense<"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"> : tensor<256xi64>
-    %391 = "FHE.apply_lookup_table"(%284, %cst_612) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_613 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %392 = "FHE.apply_lookup_table"(%285, %cst_613) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_614 = arith.constant dense<"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"> : tensor<256xi64>
-    %393 = "FHE.apply_lookup_table"(%285, %cst_614) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_615 = arith.constant dense<"0x06000000000000000700000000000000070000000000000007000000000000000F00000000000000060000000000000006000000000000000C0000000000000003000000000000000000000000000000060000000000000002000000000000000F000000000000000D000000000000000A0000000000000007000000000000000C0000000000000008000000000000000C0000000000000007000000000000000F00000000000000050000000000000004000000000000000F000000000000000A000000000000000D000000000000000A000000000000000A0000000000000009000000000000000A0000000000000007000000000000000C000000000000000B000000000000000F0000000000000009000000000000000200000000000000030000000000000003000000000000000F000000000000000C0000000000000003000000000000000A000000000000000E000000000000000F0000000000000007000000000000000D000000000000000300000000000000010000000000000000000000000000000C0000000000000002000000000000000C0000000000000001000000000000000900000000000000000000000000000009000000000000000000000000000000010000000000000008000000000000000E000000000000000E0000000000000002000000000000000B00000000000000070000000000000000000000000000000800000000000000020000000000000001000000000000000100000000000000060000000000000005000000000000000A00000000000000050000000000000003000000000000000D000000000000000B0000000000000002000000000000000E000000000000000200000000000000080000000000000005000000000000000D0000000000000000000000000000000E0000000000000002000000000000000F000000000000000B00000000000000050000000000000006000000000000000C000000000000000B0000000000000003000000000000000400000000000000040000000000000005000000000000000C000000000000000D000000000000000E000000000000000A000000000000000F00000000000000040000000000000004000000000000000300000000000000080000000000000004000000000000000F00000000000000000000000000000007000000000000000500000000000000030000000000000009000000000000000A0000000000000005000000000000000A00000000000000040000000000000008000000000000000900000000000000090000000000000003000000000000000F000000000000000B000000000000000B000000000000000D00000000000000020000000000000001000000000000000F000000000000000F000000000000000D000000000000000C00000000000000000000000000000001000000000000000E0000000000000005000000000000000900000000000000040000000000000001000000000000000C000000000000000A000000000000000700000000000000030000000000000006000000000000000500000000000000010000000000000007000000000000000600000000000000080000000000000004000000000000000D00000000000000020000000000000002000000000000000900000000000000080000000000000004000000000000000E000000000000000B0000000000000001000000000000000D00000000000000050000000000000000000000000000000D000000000000000E0000000000000003000000000000000300000000000000000000000000000004000000000000000000000000000000020000000000000005000000000000000C000000000000000D000000000000000A000000000000000600000000000000090000000000000009000000000000000E0000000000000007000000000000000E000000000000000C000000000000000300000000000000060000000000000008000000000000000D0000000000000004000000000000000A00000000000000060000000000000005000000000000000F000000000000000E00000000000000060000000000000007000000000000000A0000000000000000000000000000000B0000000000000007000000000000000200000000000000020000000000000001000000000000000A000000000000000B000000000000000C000000000000000E000000000000000D000000000000000700000000000000010000000000000004000000000000000B0000000000000008000000000000000800000000000000070000000000000003000000000000000B000000000000000600000000000000040000000000000000000000000000000F0000000000000000000000000000000600000000000000030000000000000005000000000000000B0000000000000008000000000000000C00000000000000010000000000000009000000000000000E000000000000000F000000000000000900000000000000010000000000000006000000000000000D00000000000000080000000000000009000000000000000900000000000000010000000000000008000000000000000E000000000000000C00000000000000050000000000000002000000000000000D0000000000000008000000000000000A00000000000000080000000000000000000000000000000B000000000000000E000000000000000400000000000000060000000000000004000000000000000900000000000000020000000000000000000000000000000B0000000000000005000000000000000B000000000000000100000000000000"> : tensor<256xi64>
-    %394 = "FHE.apply_lookup_table"(%285, %cst_615) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_616 = arith.constant dense<"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"> : tensor<256xi64>
-    %395 = "FHE.apply_lookup_table"(%285, %cst_616) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_617 = arith.constant dense<"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"> : tensor<256xi64>
-    %396 = "FHE.apply_lookup_table"(%285, %cst_617) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_618 = arith.constant dense<"0x03000000000000000C0000000000000007000000000000000B0000000000000002000000000000000B000000000000000F0000000000000005000000000000000000000000000000010000000000000007000000000000000B000000000000000E0000000000000007000000000000000B0000000000000006000000000000000A00000000000000020000000000000009000000000000000D000000000000000A000000000000000900000000000000070000000000000000000000000000000D00000000000000040000000000000002000000000000000F000000000000000C0000000000000004000000000000000200000000000000000000000000000007000000000000000D000000000000000300000000000000060000000000000006000000000000000F0000000000000007000000000000000C000000000000000400000000000000050000000000000005000000000000000100000000000000010000000000000008000000000000000100000000000000050000000000000004000000000000000700000000000000030000000000000003000000000000000800000000000000060000000000000005000000000000000A0000000000000007000000000000000200000000000000000000000000000002000000000000000B00000000000000070000000000000002000000000000000500000000000000090000000000000003000000000000000C000000000000000A000000000000000B000000000000000E000000000000000A00000000000000000000000000000002000000000000000B0000000000000006000000000000000300000000000000090000000000000003000000000000000F0000000000000004000000000000000300000000000000010000000000000000000000000000000D0000000000000000000000000000000C0000000000000001000000000000000B000000000000000A000000000000000B000000000000000E0000000000000009000000000000000A000000000000000C0000000000000008000000000000000F0000000000000000000000000000000F000000000000000A000000000000000B0000000000000003000000000000000D00000000000000030000000000000005000000000000000500000000000000090000000000000002000000000000000F0000000000000000000000000000000C000000000000000F0000000000000008000000000000000100000000000000030000000000000000000000000000000F0000000000000002000000000000000D00000000000000080000000000000005000000000000000C0000000000000006000000000000000A00000000000000010000000000000000000000000000000F00000000000000030000000000000002000000000000000D000000000000000C0000000000000003000000000000000C000000000000000F00000000000000070000000000000004000000000000000700000000000000040000000000000007000000000000000E000000000000000D0000000000000004000000000000000D0000000000000009000000000000000300000000000000000000000000000001000000000000000F000000000000000C0000000000000002000000000000000A000000000000000000000000000000080000000000000006000000000000000E00000000000000080000000000000004000000000000000E000000000000000E000000000000000B000000000000000B00000000000000000000000000000002000000000000000A000000000000000A000000000000000900000000000000060000000000000004000000000000000C00000000000000020000000000000003000000000000000C00000000000000020000000000000001000000000000000500000000000000040000000000000009000000000000000700000000000000080000000000000007000000000000000D000000000000000D0000000000000005000000000000000E0000000000000009000000000000000C00000000000000060000000000000004000000000000000A0000000000000005000000000000000A000000000000000E0000000000000008000000000000000A00000000000000080000000000000005000000000000000E000000000000000C0000000000000006000000000000000400000000000000060000000000000008000000000000000D0000000000000004000000000000000F000000000000000B000000000000000D000000000000000B000000000000000A0000000000000000000000000000000E00000000000000050000000000000006000000000000000800000000000000030000000000000006000000000000000E000000000000000100000000000000050000000000000007000000000000000900000000000000060000000000000001000000000000000D000000000000000E000000000000000100000000000000080000000000000008000000000000000100000000000000090000000000000009000000000000000E0000000000000004000000000000000B000000000000000E00000000000000070000000000000009000000000000000E00000000000000050000000000000008000000000000000F000000000000000C00000000000000010000000000000009000000000000000D000000000000000F00000000000000060000000000000002000000000000000800000000000000010000000000000009000000000000000D000000000000000F00000000000000000000000000000004000000000000000B000000000000000600000000000000"> : tensor<256xi64>
-    %397 = "FHE.apply_lookup_table"(%285, %cst_618) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_619 = arith.constant dense<"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"> : tensor<256xi64>
-    %398 = "FHE.apply_lookup_table"(%285, %cst_619) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_620 = arith.constant dense<"0x060000000000000008000000000000000E0000000000000006000000000000000F0000000000000006000000000000000E000000000000000100000000000000000000000000000002000000000000000E000000000000000600000000000000070000000000000005000000000000000D000000000000000C000000000000000F000000000000000F0000000000000009000000000000000A000000000000000F0000000000000002000000000000000E000000000000000B00000000000000010000000000000003000000000000000F0000000000000005000000000000000300000000000000030000000000000004000000000000000B00000000000000050000000000000001000000000000000D000000000000000C000000000000000C000000000000000E0000000000000005000000000000000300000000000000080000000000000001000000000000000100000000000000090000000000000002000000000000000B0000000000000002000000000000000A000000000000000800000000000000050000000000000006000000000000000D00000000000000000000000000000007000000000000000A000000000000000F000000000000000E0000000000000004000000000000000B000000000000000F000000000000000D000000000000000E000000000000000F000000000000000A0000000000000002000000000000000D000000000000000800000000000000040000000000000006000000000000000C0000000000000004000000000000000B000000000000000400000000000000060000000000000007000000000000000D0000000000000002000000000000000D000000000000000E0000000000000003000000000000000600000000000000090000000000000000000000000000000100000000000000000000000000000003000000000000000900000000000000060000000000000004000000000000000D000000000000000700000000000000020000000000000004000000000000000800000000000000000000000000000005000000000000000B0000000000000005000000000000000F000000000000000D0000000000000006000000000000000A00000000000000060000000000000001000000000000000A00000000000000090000000000000004000000000000000E000000000000000000000000000000080000000000000005000000000000000B0000000000000002000000000000000D00000000000000000000000000000005000000000000000F00000000000000010000000000000000000000000000000100000000000000030000000000000007000000000000000F000000000000000200000000000000000000000000000005000000000000000D000000000000000F0000000000000001000000000000000800000000000000060000000000000003000000000000000E00000000000000050000000000000008000000000000000E00000000000000030000000000000005000000000000000C000000000000000A0000000000000008000000000000000A0000000000000002000000000000000600000000000000000000000000000009000000000000000E000000000000000300000000000000040000000000000004000000000000000B000000000000000B000000000000000C0000000000000007000000000000000B00000000000000080000000000000007000000000000000C0000000000000006000000000000000D000000000000000B0000000000000004000000000000000400000000000000040000000000000002000000000000000C00000000000000080000000000000008000000000000000F000000000000000D0000000000000003000000000000000400000000000000090000000000000001000000000000000300000000000000020000000000000005000000000000000B000000000000000E000000000000000A00000000000000010000000000000001000000000000000C00000000000000090000000000000008000000000000000C0000000000000003000000000000000F000000000000000A000000000000000400000000000000070000000000000000000000000000000F0000000000000000000000000000000A000000000000000C0000000000000008000000000000000700000000000000030000000000000007000000000000000B00000000000000010000000000000008000000000000000E00000000000000060000000000000001000000000000000D000000000000000F0000000000000000000000000000000C0000000000000001000000000000000C000000000000000000000000000000060000000000000007000000000000000C0000000000000002000000000000000A000000000000000E000000000000000900000000000000070000000000000009000000000000000A00000000000000070000000000000009000000000000000B000000000000000B00000000000000020000000000000002000000000000000900000000000000070000000000000003000000000000000D000000000000000C000000000000000500000000000000090000000000000007000000000000000A00000000000000000000000000000005000000000000000300000000000000090000000000000009000000000000000A000000000000000500000000000000070000000000000004000000000000000000000000000000020000000000000009000000000000000A000000000000000E000000000000000B0000000000000008000000000000000D000000000000000C00000000000000"> : tensor<256xi64>
-    %399 = "FHE.apply_lookup_table"(%285, %cst_620) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_621 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %400 = "FHE.apply_lookup_table"(%286, %cst_621) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_622 = arith.constant dense<"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"> : tensor<256xi64>
-    %401 = "FHE.apply_lookup_table"(%286, %cst_622) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_623 = arith.constant dense<"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"> : tensor<256xi64>
-    %402 = "FHE.apply_lookup_table"(%286, %cst_623) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_624 = arith.constant dense<"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"> : tensor<256xi64>
-    %403 = "FHE.apply_lookup_table"(%286, %cst_624) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_625 = arith.constant dense<"0x06000000000000000700000000000000070000000000000007000000000000000F00000000000000060000000000000006000000000000000C0000000000000003000000000000000000000000000000060000000000000002000000000000000F000000000000000D000000000000000A0000000000000007000000000000000C0000000000000008000000000000000C0000000000000007000000000000000F00000000000000050000000000000004000000000000000F000000000000000A000000000000000D000000000000000A000000000000000A0000000000000009000000000000000A0000000000000007000000000000000C000000000000000B000000000000000F0000000000000009000000000000000200000000000000030000000000000003000000000000000F000000000000000C0000000000000003000000000000000A000000000000000E000000000000000F0000000000000007000000000000000D000000000000000300000000000000010000000000000000000000000000000C0000000000000002000000000000000C0000000000000001000000000000000900000000000000000000000000000009000000000000000000000000000000010000000000000008000000000000000E000000000000000E0000000000000002000000000000000B00000000000000070000000000000000000000000000000800000000000000020000000000000001000000000000000100000000000000060000000000000005000000000000000A00000000000000050000000000000003000000000000000D000000000000000B0000000000000002000000000000000E000000000000000200000000000000080000000000000005000000000000000D0000000000000000000000000000000E0000000000000002000000000000000F000000000000000B00000000000000050000000000000006000000000000000C000000000000000B0000000000000003000000000000000400000000000000040000000000000005000000000000000C000000000000000D000000000000000E000000000000000A000000000000000F00000000000000040000000000000004000000000000000300000000000000080000000000000004000000000000000F00000000000000000000000000000007000000000000000500000000000000030000000000000009000000000000000A0000000000000005000000000000000A00000000000000040000000000000008000000000000000900000000000000090000000000000003000000000000000F000000000000000B000000000000000B000000000000000D00000000000000020000000000000001000000000000000F000000000000000F000000000000000D000000000000000C00000000000000000000000000000001000000000000000E0000000000000005000000000000000900000000000000040000000000000001000000000000000C000000000000000A000000000000000700000000000000030000000000000006000000000000000500000000000000010000000000000007000000000000000600000000000000080000000000000004000000000000000D00000000000000020000000000000002000000000000000900000000000000080000000000000004000000000000000E000000000000000B0000000000000001000000000000000D00000000000000050000000000000000000000000000000D000000000000000E0000000000000003000000000000000300000000000000000000000000000004000000000000000000000000000000020000000000000005000000000000000C000000000000000D000000000000000A000000000000000600000000000000090000000000000009000000000000000E0000000000000007000000000000000E000000000000000C000000000000000300000000000000060000000000000008000000000000000D0000000000000004000000000000000A00000000000000060000000000000005000000000000000F000000000000000E00000000000000060000000000000007000000000000000A0000000000000000000000000000000B0000000000000007000000000000000200000000000000020000000000000001000000000000000A000000000000000B000000000000000C000000000000000E000000000000000D000000000000000700000000000000010000000000000004000000000000000B0000000000000008000000000000000800000000000000070000000000000003000000000000000B000000000000000600000000000000040000000000000000000000000000000F0000000000000000000000000000000600000000000000030000000000000005000000000000000B0000000000000008000000000000000C00000000000000010000000000000009000000000000000E000000000000000F000000000000000900000000000000010000000000000006000000000000000D00000000000000080000000000000009000000000000000900000000000000010000000000000008000000000000000E000000000000000C00000000000000050000000000000002000000000000000D0000000000000008000000000000000A00000000000000080000000000000000000000000000000B000000000000000E000000000000000400000000000000060000000000000004000000000000000900000000000000020000000000000000000000000000000B0000000000000005000000000000000B000000000000000100000000000000"> : tensor<256xi64>
-    %404 = "FHE.apply_lookup_table"(%286, %cst_625) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_626 = arith.constant dense<"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"> : tensor<256xi64>
-    %405 = "FHE.apply_lookup_table"(%286, %cst_626) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_627 = arith.constant dense<"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"> : tensor<256xi64>
-    %406 = "FHE.apply_lookup_table"(%286, %cst_627) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_628 = arith.constant dense<"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"> : tensor<256xi64>
-    %407 = "FHE.apply_lookup_table"(%286, %cst_628) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_629 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %408 = "FHE.apply_lookup_table"(%287, %cst_629) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_630 = arith.constant dense<"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"> : tensor<256xi64>
-    %409 = "FHE.apply_lookup_table"(%287, %cst_630) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_631 = arith.constant dense<"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"> : tensor<256xi64>
-    %410 = "FHE.apply_lookup_table"(%287, %cst_631) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_632 = arith.constant dense<"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"> : tensor<256xi64>
-    %411 = "FHE.apply_lookup_table"(%287, %cst_632) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_633 = arith.constant dense<"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"> : tensor<256xi64>
-    %412 = "FHE.apply_lookup_table"(%287, %cst_633) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_634 = arith.constant dense<"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"> : tensor<256xi64>
-    %413 = "FHE.apply_lookup_table"(%287, %cst_634) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_635 = arith.constant dense<"0x0C000000000000000F000000000000000E000000000000000F000000000000000F000000000000000D000000000000000D000000000000000900000000000000060000000000000000000000000000000C0000000000000005000000000000000E000000000000000B0000000000000004000000000000000E000000000000000800000000000000010000000000000008000000000000000F000000000000000E000000000000000B0000000000000008000000000000000F0000000000000004000000000000000B0000000000000005000000000000000400000000000000020000000000000005000000000000000E00000000000000090000000000000007000000000000000E0000000000000003000000000000000400000000000000060000000000000007000000000000000F000000000000000800000000000000060000000000000005000000000000000D000000000000000F000000000000000E000000000000000A0000000000000006000000000000000200000000000000000000000000000009000000000000000400000000000000090000000000000003000000000000000300000000000000000000000000000002000000000000000000000000000000020000000000000001000000000000000D000000000000000C00000000000000040000000000000007000000000000000E00000000000000010000000000000001000000000000000500000000000000030000000000000003000000000000000D000000000000000B0000000000000005000000000000000A0000000000000007000000000000000B00000000000000070000000000000005000000000000000D00000000000000050000000000000001000000000000000A000000000000000B0000000000000000000000000000000C0000000000000004000000000000000E0000000000000007000000000000000B000000000000000D00000000000000080000000000000006000000000000000700000000000000090000000000000009000000000000000B0000000000000008000000000000000B000000000000000C0000000000000004000000000000000E00000000000000080000000000000009000000000000000600000000000000010000000000000008000000000000000E0000000000000000000000000000000F000000000000000A000000000000000700000000000000020000000000000004000000000000000A000000000000000500000000000000080000000000000000000000000000000300000000000000020000000000000007000000000000000F00000000000000060000000000000007000000000000000A00000000000000040000000000000002000000000000000E000000000000000F000000000000000B000000000000000800000000000000010000000000000002000000000000000C000000000000000B00000000000000030000000000000008000000000000000200000000000000090000000000000005000000000000000F0000000000000007000000000000000C000000000000000B0000000000000003000000000000000E000000000000000C00000000000000010000000000000009000000000000000A00000000000000040000000000000005000000000000000300000000000000000000000000000008000000000000000C00000000000000060000000000000002000000000000000A000000000000000B0000000000000001000000000000000A000000000000000D000000000000000600000000000000070000000000000001000000000000000900000000000000000000000000000004000000000000000B0000000000000009000000000000000B0000000000000004000000000000000C00000000000000030000000000000003000000000000000D000000000000000F000000000000000D00000000000000080000000000000006000000000000000D0000000000000000000000000000000B00000000000000090000000000000004000000000000000D000000000000000A000000000000000F000000000000000C000000000000000C000000000000000F000000000000000400000000000000010000000000000006000000000000000F000000000000000400000000000000050000000000000003000000000000000500000000000000070000000000000009000000000000000C000000000000000A000000000000000E00000000000000030000000000000009000000000000000600000000000000000000000000000000000000000000000E00000000000000070000000000000007000000000000000C00000000000000090000000000000000000000000000000F0000000000000001000000000000000C0000000000000006000000000000000A00000000000000060000000000000001000000000000000900000000000000030000000000000002000000000000000D000000000000000E00000000000000020000000000000002000000000000000D000000000000000A00000000000000000000000000000003000000000000000200000000000000030000000000000001000000000000000C0000000000000008000000000000000A0000000000000005000000000000000A00000000000000000000000000000005000000000000000000000000000000010000000000000006000000000000000D0000000000000008000000000000000D00000000000000080000000000000002000000000000000500000000000000010000000000000007000000000000000A0000000000000006000000000000000200000000000000"> : tensor<256xi64>
-    %414 = "FHE.apply_lookup_table"(%287, %cst_635) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_636 = arith.constant dense<"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"> : tensor<256xi64>
-    %415 = "FHE.apply_lookup_table"(%287, %cst_636) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %416 = "FHE.mul_eint_int"(%384, %c16_i9_249) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %417 = "FHE.mul_eint_int"(%385, %c16_i9_250) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %418 = "FHE.mul_eint_int"(%386, %c16_i9_299) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %419 = "FHE.mul_eint_int"(%387, %c16_i9_300) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %420 = "FHE.mul_eint_int"(%388, %c16_i9_349) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %421 = "FHE.mul_eint_int"(%389, %c16_i9_350) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %422 = "FHE.mul_eint_int"(%390, %c16_i9_363) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %423 = "FHE.mul_eint_int"(%391, %c16_i9_364) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %424 = "FHE.mul_eint_int"(%392, %c16_i9_255) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %425 = "FHE.mul_eint_int"(%393, %c16_i9_256) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %426 = "FHE.mul_eint_int"(%394, %c16_i9_303) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %427 = "FHE.mul_eint_int"(%395, %c16_i9_304) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %428 = "FHE.mul_eint_int"(%396, %c16_i9_353) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %429 = "FHE.mul_eint_int"(%397, %c16_i9_354) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %430 = "FHE.mul_eint_int"(%398, %c16_i9_357) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %431 = "FHE.mul_eint_int"(%399, %c16_i9_358) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %432 = "FHE.mul_eint_int"(%400, %c16_i9_261) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %433 = "FHE.mul_eint_int"(%401, %c16_i9_262) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %434 = "FHE.mul_eint_int"(%402, %c16_i9_307) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %435 = "FHE.mul_eint_int"(%403, %c16_i9_308) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %436 = "FHE.mul_eint_int"(%404, %c16_i9_341) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %437 = "FHE.mul_eint_int"(%405, %c16_i9_342) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %438 = "FHE.mul_eint_int"(%406, %c16_i9_359) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %439 = "FHE.mul_eint_int"(%407, %c16_i9_360) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %440 = "FHE.mul_eint_int"(%408, %c16_i9_267) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %441 = "FHE.mul_eint_int"(%409, %c16_i9_268) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %442 = "FHE.mul_eint_int"(%410, %c16_i9_295) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %443 = "FHE.mul_eint_int"(%411, %c16_i9_296) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %444 = "FHE.mul_eint_int"(%412, %c16_i9_345) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %445 = "FHE.mul_eint_int"(%413, %c16_i9_346) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %446 = "FHE.mul_eint_int"(%414, %c16_i9_361) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %447 = "FHE.mul_eint_int"(%415, %c16_i9_362) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %448 = "FHE.add_eint"(%416, %352) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %449 = "FHE.add_eint"(%417, %353) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %450 = "FHE.add_eint"(%418, %354) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %451 = "FHE.add_eint"(%419, %355) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %452 = "FHE.add_eint"(%420, %356) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %453 = "FHE.add_eint"(%421, %357) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %454 = "FHE.add_eint"(%422, %358) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %455 = "FHE.add_eint"(%423, %359) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %456 = "FHE.add_eint"(%424, %360) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %457 = "FHE.add_eint"(%425, %361) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %458 = "FHE.add_eint"(%426, %362) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %459 = "FHE.add_eint"(%427, %363) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %460 = "FHE.add_eint"(%428, %364) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %461 = "FHE.add_eint"(%429, %365) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %462 = "FHE.add_eint"(%430, %366) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %463 = "FHE.add_eint"(%431, %367) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %464 = "FHE.add_eint"(%432, %368) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %465 = "FHE.add_eint"(%433, %369) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %466 = "FHE.add_eint"(%434, %370) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %467 = "FHE.add_eint"(%435, %371) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %468 = "FHE.add_eint"(%436, %372) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %469 = "FHE.add_eint"(%437, %373) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %470 = "FHE.add_eint"(%438, %374) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %471 = "FHE.add_eint"(%439, %375) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %472 = "FHE.add_eint"(%440, %376) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %473 = "FHE.add_eint"(%441, %377) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %474 = "FHE.add_eint"(%442, %378) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %475 = "FHE.add_eint"(%443, %379) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %476 = "FHE.add_eint"(%444, %380) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %477 = "FHE.add_eint"(%445, %381) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %478 = "FHE.add_eint"(%446, %382) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %479 = "FHE.add_eint"(%447, %383) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_637 = arith.constant dense<"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"> : tensor<256xi64>
-    %480 = "FHE.apply_lookup_table"(%448, %cst_637) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_638 = arith.constant dense<"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"> : tensor<256xi64>
-    %481 = "FHE.apply_lookup_table"(%449, %cst_638) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_639 = arith.constant dense<"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"> : tensor<256xi64>
-    %482 = "FHE.apply_lookup_table"(%450, %cst_639) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_640 = arith.constant dense<"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"> : tensor<256xi64>
-    %483 = "FHE.apply_lookup_table"(%451, %cst_640) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_641 = arith.constant dense<"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"> : tensor<256xi64>
-    %484 = "FHE.apply_lookup_table"(%452, %cst_641) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_642 = arith.constant dense<"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"> : tensor<256xi64>
-    %485 = "FHE.apply_lookup_table"(%453, %cst_642) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_643 = arith.constant dense<"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"> : tensor<256xi64>
-    %486 = "FHE.apply_lookup_table"(%454, %cst_643) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_644 = arith.constant dense<"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"> : tensor<256xi64>
-    %487 = "FHE.apply_lookup_table"(%455, %cst_644) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_645 = arith.constant dense<"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"> : tensor<256xi64>
-    %488 = "FHE.apply_lookup_table"(%456, %cst_645) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_646 = arith.constant dense<"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"> : tensor<256xi64>
-    %489 = "FHE.apply_lookup_table"(%457, %cst_646) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_647 = arith.constant dense<"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"> : tensor<256xi64>
-    %490 = "FHE.apply_lookup_table"(%458, %cst_647) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_648 = arith.constant dense<"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"> : tensor<256xi64>
-    %491 = "FHE.apply_lookup_table"(%459, %cst_648) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_649 = arith.constant dense<"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"> : tensor<256xi64>
-    %492 = "FHE.apply_lookup_table"(%460, %cst_649) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_650 = arith.constant dense<"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"> : tensor<256xi64>
-    %493 = "FHE.apply_lookup_table"(%461, %cst_650) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_651 = arith.constant dense<"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"> : tensor<256xi64>
-    %494 = "FHE.apply_lookup_table"(%462, %cst_651) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_652 = arith.constant dense<"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"> : tensor<256xi64>
-    %495 = "FHE.apply_lookup_table"(%463, %cst_652) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_653 = arith.constant dense<"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"> : tensor<256xi64>
-    %496 = "FHE.apply_lookup_table"(%464, %cst_653) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_654 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %497 = "FHE.apply_lookup_table"(%465, %cst_654) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_655 = arith.constant dense<"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"> : tensor<256xi64>
-    %498 = "FHE.apply_lookup_table"(%466, %cst_655) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_656 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %499 = "FHE.apply_lookup_table"(%467, %cst_656) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_657 = arith.constant dense<"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"> : tensor<256xi64>
-    %500 = "FHE.apply_lookup_table"(%468, %cst_657) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_658 = arith.constant dense<"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"> : tensor<256xi64>
-    %501 = "FHE.apply_lookup_table"(%469, %cst_658) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_659 = arith.constant dense<"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"> : tensor<256xi64>
-    %502 = "FHE.apply_lookup_table"(%470, %cst_659) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_660 = arith.constant dense<"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"> : tensor<256xi64>
-    %503 = "FHE.apply_lookup_table"(%471, %cst_660) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_661 = arith.constant dense<"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"> : tensor<256xi64>
-    %504 = "FHE.apply_lookup_table"(%472, %cst_661) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_662 = arith.constant dense<"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"> : tensor<256xi64>
-    %505 = "FHE.apply_lookup_table"(%473, %cst_662) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_663 = arith.constant dense<"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"> : tensor<256xi64>
-    %506 = "FHE.apply_lookup_table"(%474, %cst_663) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_664 = arith.constant dense<"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"> : tensor<256xi64>
-    %507 = "FHE.apply_lookup_table"(%475, %cst_664) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_665 = arith.constant dense<"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"> : tensor<256xi64>
-    %508 = "FHE.apply_lookup_table"(%476, %cst_665) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_666 = arith.constant dense<"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"> : tensor<256xi64>
-    %509 = "FHE.apply_lookup_table"(%477, %cst_666) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_667 = arith.constant dense<"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"> : tensor<256xi64>
-    %510 = "FHE.apply_lookup_table"(%478, %cst_667) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_668 = arith.constant dense<"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"> : tensor<256xi64>
-    %511 = "FHE.apply_lookup_table"(%479, %cst_668) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %512 = "FHE.mul_eint_int"(%480, %c16_i9_202) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %513 = "FHE.mul_eint_int"(%481, %c16_i9_203) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %514 = "FHE.mul_eint_int"(%482, %c16_i9_253) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %515 = "FHE.mul_eint_int"(%483, %c16_i9_254) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %516 = "FHE.mul_eint_int"(%484, %c16_i9_301) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %517 = "FHE.mul_eint_int"(%485, %c16_i9_302) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %518 = "FHE.mul_eint_int"(%486, %c16_i9_321) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %519 = "FHE.mul_eint_int"(%487, %c16_i9_322) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %520 = "FHE.mul_eint_int"(%488, %c16_i9_208) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %521 = "FHE.mul_eint_int"(%489, %c16_i9_209) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %522 = "FHE.mul_eint_int"(%490, %c16_i9_259) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %523 = "FHE.mul_eint_int"(%491, %c16_i9_260) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %524 = "FHE.mul_eint_int"(%492, %c16_i9_305) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %525 = "FHE.mul_eint_int"(%493, %c16_i9_306) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %526 = "FHE.mul_eint_int"(%494, %c16_i9_309) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %527 = "FHE.mul_eint_int"(%495, %c16_i9_310) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %528 = "FHE.mul_eint_int"(%496, %c16_i9_214) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %529 = "FHE.mul_eint_int"(%497, %c16_i9_215) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %530 = "FHE.mul_eint_int"(%498, %c16_i9_265) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %531 = "FHE.mul_eint_int"(%499, %c16_i9_266) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %532 = "FHE.mul_eint_int"(%500, %c16_i9_293) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %533 = "FHE.mul_eint_int"(%501, %c16_i9_294) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %534 = "FHE.mul_eint_int"(%502, %c16_i9_313) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %535 = "FHE.mul_eint_int"(%503, %c16_i9_314) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %536 = "FHE.mul_eint_int"(%504, %c16_i9_220) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %537 = "FHE.mul_eint_int"(%505, %c16_i9_221) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %538 = "FHE.mul_eint_int"(%506, %c16_i9_247) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %539 = "FHE.mul_eint_int"(%507, %c16_i9_248) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %540 = "FHE.mul_eint_int"(%508, %c16_i9_297) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %541 = "FHE.mul_eint_int"(%509, %c16_i9_298) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %542 = "FHE.mul_eint_int"(%510, %c16_i9_317) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %543 = "FHE.mul_eint_int"(%511, %c16_i9_318) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %544 = "FHE.add_eint"(%512, %320) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %545 = "FHE.add_eint"(%513, %321) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %546 = "FHE.add_eint"(%514, %322) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %547 = "FHE.add_eint"(%515, %323) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %548 = "FHE.add_eint"(%516, %324) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %549 = "FHE.add_eint"(%517, %325) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %550 = "FHE.add_eint"(%518, %326) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %551 = "FHE.add_eint"(%519, %327) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %552 = "FHE.add_eint"(%520, %328) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %553 = "FHE.add_eint"(%521, %329) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %554 = "FHE.add_eint"(%522, %330) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %555 = "FHE.add_eint"(%523, %331) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %556 = "FHE.add_eint"(%524, %332) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %557 = "FHE.add_eint"(%525, %333) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %558 = "FHE.add_eint"(%526, %334) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %559 = "FHE.add_eint"(%527, %335) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %560 = "FHE.add_eint"(%528, %336) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %561 = "FHE.add_eint"(%529, %337) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %562 = "FHE.add_eint"(%530, %338) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %563 = "FHE.add_eint"(%531, %339) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %564 = "FHE.add_eint"(%532, %340) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %565 = "FHE.add_eint"(%533, %341) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %566 = "FHE.add_eint"(%534, %342) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %567 = "FHE.add_eint"(%535, %343) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %568 = "FHE.add_eint"(%536, %344) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %569 = "FHE.add_eint"(%537, %345) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %570 = "FHE.add_eint"(%538, %346) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %571 = "FHE.add_eint"(%539, %347) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %572 = "FHE.add_eint"(%540, %348) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %573 = "FHE.add_eint"(%541, %349) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %574 = "FHE.add_eint"(%542, %350) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %575 = "FHE.add_eint"(%543, %351) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_669 = arith.constant dense<"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"> : tensor<256xi64>
-    %576 = "FHE.apply_lookup_table"(%544, %cst_669) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_670 = arith.constant dense<"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"> : tensor<256xi64>
-    %577 = "FHE.apply_lookup_table"(%545, %cst_670) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_671 = arith.constant dense<"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"> : tensor<256xi64>
-    %578 = "FHE.apply_lookup_table"(%546, %cst_671) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_672 = arith.constant dense<"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"> : tensor<256xi64>
-    %579 = "FHE.apply_lookup_table"(%547, %cst_672) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_673 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %580 = "FHE.apply_lookup_table"(%548, %cst_673) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_674 = arith.constant dense<"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"> : tensor<256xi64>
-    %581 = "FHE.apply_lookup_table"(%549, %cst_674) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_675 = arith.constant dense<"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"> : tensor<256xi64>
-    %582 = "FHE.apply_lookup_table"(%550, %cst_675) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_676 = arith.constant dense<"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"> : tensor<256xi64>
-    %583 = "FHE.apply_lookup_table"(%551, %cst_676) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_677 = arith.constant dense<"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"> : tensor<256xi64>
-    %584 = "FHE.apply_lookup_table"(%552, %cst_677) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_678 = arith.constant dense<"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"> : tensor<256xi64>
-    %585 = "FHE.apply_lookup_table"(%553, %cst_678) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_679 = arith.constant dense<"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"> : tensor<256xi64>
-    %586 = "FHE.apply_lookup_table"(%554, %cst_679) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_680 = arith.constant dense<"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"> : tensor<256xi64>
-    %587 = "FHE.apply_lookup_table"(%555, %cst_680) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_681 = arith.constant dense<"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"> : tensor<256xi64>
-    %588 = "FHE.apply_lookup_table"(%556, %cst_681) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_682 = arith.constant dense<"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"> : tensor<256xi64>
-    %589 = "FHE.apply_lookup_table"(%557, %cst_682) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_683 = arith.constant dense<"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"> : tensor<256xi64>
-    %590 = "FHE.apply_lookup_table"(%558, %cst_683) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_684 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %591 = "FHE.apply_lookup_table"(%559, %cst_684) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_685 = arith.constant dense<"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"> : tensor<256xi64>
-    %592 = "FHE.apply_lookup_table"(%560, %cst_685) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_686 = arith.constant dense<"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"> : tensor<256xi64>
-    %593 = "FHE.apply_lookup_table"(%561, %cst_686) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_687 = arith.constant dense<"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"> : tensor<256xi64>
-    %594 = "FHE.apply_lookup_table"(%562, %cst_687) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_688 = arith.constant dense<"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"> : tensor<256xi64>
-    %595 = "FHE.apply_lookup_table"(%563, %cst_688) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_689 = arith.constant dense<"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"> : tensor<256xi64>
-    %596 = "FHE.apply_lookup_table"(%564, %cst_689) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_690 = arith.constant dense<"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"> : tensor<256xi64>
-    %597 = "FHE.apply_lookup_table"(%565, %cst_690) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_691 = arith.constant dense<"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"> : tensor<256xi64>
-    %598 = "FHE.apply_lookup_table"(%566, %cst_691) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_692 = arith.constant dense<"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"> : tensor<256xi64>
-    %599 = "FHE.apply_lookup_table"(%567, %cst_692) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_693 = arith.constant dense<"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"> : tensor<256xi64>
-    %600 = "FHE.apply_lookup_table"(%568, %cst_693) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_694 = arith.constant dense<"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"> : tensor<256xi64>
-    %601 = "FHE.apply_lookup_table"(%569, %cst_694) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_695 = arith.constant dense<"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"> : tensor<256xi64>
-    %602 = "FHE.apply_lookup_table"(%570, %cst_695) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_696 = arith.constant dense<"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"> : tensor<256xi64>
-    %603 = "FHE.apply_lookup_table"(%571, %cst_696) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_697 = arith.constant dense<"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"> : tensor<256xi64>
-    %604 = "FHE.apply_lookup_table"(%572, %cst_697) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_698 = arith.constant dense<"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"> : tensor<256xi64>
-    %605 = "FHE.apply_lookup_table"(%573, %cst_698) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_699 = arith.constant dense<"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"> : tensor<256xi64>
-    %606 = "FHE.apply_lookup_table"(%574, %cst_699) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_700 = arith.constant dense<"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"> : tensor<256xi64>
-    %607 = "FHE.apply_lookup_table"(%575, %cst_700) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %608 = "FHE.mul_eint_int"(%576, %c16_i9_184) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %609 = "FHE.mul_eint_int"(%577, %c16_i9_185) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %610 = "FHE.mul_eint_int"(%578, %c16_i9_206) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %611 = "FHE.mul_eint_int"(%579, %c16_i9_207) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %612 = "FHE.mul_eint_int"(%580, %c16_i9_257) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %613 = "FHE.mul_eint_int"(%581, %c16_i9_258) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %614 = "FHE.mul_eint_int"(%582, %c16_i9_281) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %615 = "FHE.mul_eint_int"(%583, %c16_i9_282) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %616 = "FHE.mul_eint_int"(%584, %c16_i9_188) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %617 = "FHE.mul_eint_int"(%585, %c16_i9_189) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %618 = "FHE.mul_eint_int"(%586, %c16_i9_212) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %619 = "FHE.mul_eint_int"(%587, %c16_i9_213) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %620 = "FHE.mul_eint_int"(%588, %c16_i9_263) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %621 = "FHE.mul_eint_int"(%589, %c16_i9_264) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %622 = "FHE.mul_eint_int"(%590, %c16_i9_269) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %623 = "FHE.mul_eint_int"(%591, %c16_i9_270) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %624 = "FHE.mul_eint_int"(%592, %c16_i9_192) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %625 = "FHE.mul_eint_int"(%593, %c16_i9_193) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %626 = "FHE.mul_eint_int"(%594, %c16_i9_218) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %627 = "FHE.mul_eint_int"(%595, %c16_i9_219) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %628 = "FHE.mul_eint_int"(%596, %c16_i9_245) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %629 = "FHE.mul_eint_int"(%597, %c16_i9_246) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %630 = "FHE.mul_eint_int"(%598, %c16_i9_273) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %631 = "FHE.mul_eint_int"(%599, %c16_i9_274) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %632 = "FHE.mul_eint_int"(%600, %c16_i9_196) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %633 = "FHE.mul_eint_int"(%601, %c16_i9_197) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %634 = "FHE.mul_eint_int"(%602, %c16_i9_200) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %635 = "FHE.mul_eint_int"(%603, %c16_i9_201) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %636 = "FHE.mul_eint_int"(%604, %c16_i9_251) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %637 = "FHE.mul_eint_int"(%605, %c16_i9_252) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %638 = "FHE.mul_eint_int"(%606, %c16_i9_277) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %639 = "FHE.mul_eint_int"(%607, %c16_i9_278) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %640 = "FHE.add_eint"(%608, %288) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %641 = "FHE.add_eint"(%609, %289) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %642 = "FHE.add_eint"(%610, %290) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %643 = "FHE.add_eint"(%611, %291) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %644 = "FHE.add_eint"(%612, %292) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %645 = "FHE.add_eint"(%613, %293) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %646 = "FHE.add_eint"(%614, %294) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %647 = "FHE.add_eint"(%615, %295) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %648 = "FHE.add_eint"(%616, %296) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %649 = "FHE.add_eint"(%617, %297) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %650 = "FHE.add_eint"(%618, %298) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %651 = "FHE.add_eint"(%619, %299) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %652 = "FHE.add_eint"(%620, %300) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %653 = "FHE.add_eint"(%621, %301) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %654 = "FHE.add_eint"(%622, %302) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %655 = "FHE.add_eint"(%623, %303) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %656 = "FHE.add_eint"(%624, %304) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %657 = "FHE.add_eint"(%625, %305) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %658 = "FHE.add_eint"(%626, %306) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %659 = "FHE.add_eint"(%627, %307) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %660 = "FHE.add_eint"(%628, %308) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %661 = "FHE.add_eint"(%629, %309) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %662 = "FHE.add_eint"(%630, %310) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %663 = "FHE.add_eint"(%631, %311) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %664 = "FHE.add_eint"(%632, %312) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %665 = "FHE.add_eint"(%633, %313) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %666 = "FHE.add_eint"(%634, %314) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %667 = "FHE.add_eint"(%635, %315) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %668 = "FHE.add_eint"(%636, %316) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %669 = "FHE.add_eint"(%637, %317) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %670 = "FHE.add_eint"(%638, %318) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %671 = "FHE.add_eint"(%639, %319) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_701 = arith.constant dense<"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"> : tensor<256xi64>
-    %672 = "FHE.apply_lookup_table"(%640, %cst_701) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_702 = arith.constant dense<"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"> : tensor<256xi64>
-    %673 = "FHE.apply_lookup_table"(%641, %cst_702) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_703 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %674 = "FHE.apply_lookup_table"(%642, %cst_703) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_704 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %675 = "FHE.apply_lookup_table"(%643, %cst_704) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_705 = arith.constant dense<"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"> : tensor<256xi64>
-    %676 = "FHE.apply_lookup_table"(%644, %cst_705) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_706 = arith.constant dense<"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"> : tensor<256xi64>
-    %677 = "FHE.apply_lookup_table"(%645, %cst_706) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_707 = arith.constant dense<"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"> : tensor<256xi64>
-    %678 = "FHE.apply_lookup_table"(%646, %cst_707) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_708 = arith.constant dense<"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"> : tensor<256xi64>
-    %679 = "FHE.apply_lookup_table"(%647, %cst_708) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_709 = arith.constant dense<"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"> : tensor<256xi64>
-    %680 = "FHE.apply_lookup_table"(%648, %cst_709) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_710 = arith.constant dense<"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"> : tensor<256xi64>
-    %681 = "FHE.apply_lookup_table"(%649, %cst_710) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_711 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %682 = "FHE.apply_lookup_table"(%650, %cst_711) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_712 = arith.constant dense<"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"> : tensor<256xi64>
-    %683 = "FHE.apply_lookup_table"(%651, %cst_712) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_713 = arith.constant dense<"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"> : tensor<256xi64>
-    %684 = "FHE.apply_lookup_table"(%652, %cst_713) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_714 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %685 = "FHE.apply_lookup_table"(%653, %cst_714) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_715 = arith.constant dense<"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"> : tensor<256xi64>
-    %686 = "FHE.apply_lookup_table"(%654, %cst_715) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_716 = arith.constant dense<"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"> : tensor<256xi64>
-    %687 = "FHE.apply_lookup_table"(%655, %cst_716) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_717 = arith.constant dense<"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"> : tensor<256xi64>
-    %688 = "FHE.apply_lookup_table"(%656, %cst_717) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_718 = arith.constant dense<"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"> : tensor<256xi64>
-    %689 = "FHE.apply_lookup_table"(%657, %cst_718) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_719 = arith.constant dense<"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"> : tensor<256xi64>
-    %690 = "FHE.apply_lookup_table"(%658, %cst_719) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_720 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %691 = "FHE.apply_lookup_table"(%659, %cst_720) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_721 = arith.constant dense<"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"> : tensor<256xi64>
-    %692 = "FHE.apply_lookup_table"(%660, %cst_721) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_722 = arith.constant dense<"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"> : tensor<256xi64>
-    %693 = "FHE.apply_lookup_table"(%661, %cst_722) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_723 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %694 = "FHE.apply_lookup_table"(%662, %cst_723) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_724 = arith.constant dense<"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"> : tensor<256xi64>
-    %695 = "FHE.apply_lookup_table"(%663, %cst_724) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_725 = arith.constant dense<"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"> : tensor<256xi64>
-    %696 = "FHE.apply_lookup_table"(%664, %cst_725) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_726 = arith.constant dense<"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"> : tensor<256xi64>
-    %697 = "FHE.apply_lookup_table"(%665, %cst_726) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_727 = arith.constant dense<"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"> : tensor<256xi64>
-    %698 = "FHE.apply_lookup_table"(%666, %cst_727) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_728 = arith.constant dense<"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"> : tensor<256xi64>
-    %699 = "FHE.apply_lookup_table"(%667, %cst_728) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_729 = arith.constant dense<"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"> : tensor<256xi64>
-    %700 = "FHE.apply_lookup_table"(%668, %cst_729) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_730 = arith.constant dense<"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"> : tensor<256xi64>
-    %701 = "FHE.apply_lookup_table"(%669, %cst_730) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_731 = arith.constant dense<"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"> : tensor<256xi64>
-    %702 = "FHE.apply_lookup_table"(%670, %cst_731) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_732 = arith.constant dense<"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"> : tensor<256xi64>
-    %703 = "FHE.apply_lookup_table"(%671, %cst_732) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %704 = "FHE.mul_eint_int"(%672, %c16_i9_142) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %705 = "FHE.mul_eint_int"(%673, %c16_i9_143) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %706 = "FHE.mul_eint_int"(%674, %c16_i9_186) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %707 = "FHE.mul_eint_int"(%675, %c16_i9_187) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %708 = "FHE.mul_eint_int"(%676, %c16_i9_210) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %709 = "FHE.mul_eint_int"(%677, %c16_i9_211) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %710 = "FHE.mul_eint_int"(%678, %c16_i9_234) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %711 = "FHE.mul_eint_int"(%679, %c16_i9_235) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %712 = "FHE.mul_eint_int"(%680, %c16_i9_144) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %713 = "FHE.mul_eint_int"(%681, %c16_i9_145) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %714 = "FHE.mul_eint_int"(%682, %c16_i9_190) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %715 = "FHE.mul_eint_int"(%683, %c16_i9_191) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %716 = "FHE.mul_eint_int"(%684, %c16_i9_216) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %717 = "FHE.mul_eint_int"(%685, %c16_i9_217) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %718 = "FHE.mul_eint_int"(%686, %c16_i9_222) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %719 = "FHE.mul_eint_int"(%687, %c16_i9_223) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %720 = "FHE.mul_eint_int"(%688, %c16_i9_146) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %721 = "FHE.mul_eint_int"(%689, %c16_i9_147) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %722 = "FHE.mul_eint_int"(%690, %c16_i9_194) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %723 = "FHE.mul_eint_int"(%691, %c16_i9_195) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %724 = "FHE.mul_eint_int"(%692, %c16_i9_198) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %725 = "FHE.mul_eint_int"(%693, %c16_i9_199) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %726 = "FHE.mul_eint_int"(%694, %c16_i9_226) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %727 = "FHE.mul_eint_int"(%695, %c16_i9_227) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %728 = "FHE.mul_eint_int"(%696, %c16_i9_148) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %729 = "FHE.mul_eint_int"(%697, %c16_i9_149) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %730 = "FHE.mul_eint_int"(%698, %c16_i9_182) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %731 = "FHE.mul_eint_int"(%699, %c16_i9_183) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %732 = "FHE.mul_eint_int"(%700, %c16_i9_204) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %733 = "FHE.mul_eint_int"(%701, %c16_i9_205) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %734 = "FHE.mul_eint_int"(%702, %c16_i9_230) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %735 = "FHE.mul_eint_int"(%703, %c16_i9_231) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %736 = "FHE.add_eint"(%704, %32) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %737 = "FHE.add_eint"(%705, %96) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %738 = "FHE.add_eint"(%706, %37) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %739 = "FHE.add_eint"(%707, %101) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %740 = "FHE.add_eint"(%708, %42) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %741 = "FHE.add_eint"(%709, %106) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %742 = "FHE.add_eint"(%710, %50) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %743 = "FHE.add_eint"(%711, %114) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %744 = "FHE.add_eint"(%712, %33) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %745 = "FHE.add_eint"(%713, %97) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %746 = "FHE.add_eint"(%714, %38) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %747 = "FHE.add_eint"(%715, %102) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %748 = "FHE.add_eint"(%716, %43) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %749 = "FHE.add_eint"(%717, %107) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %750 = "FHE.add_eint"(%718, %44) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %751 = "FHE.add_eint"(%719, %108) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %752 = "FHE.add_eint"(%720, %34) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %753 = "FHE.add_eint"(%721, %98) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %754 = "FHE.add_eint"(%722, %39) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %755 = "FHE.add_eint"(%723, %103) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %756 = "FHE.add_eint"(%724, %40) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %757 = "FHE.add_eint"(%725, %104) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %758 = "FHE.add_eint"(%726, %46) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %759 = "FHE.add_eint"(%727, %110) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %760 = "FHE.add_eint"(%728, %35) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %761 = "FHE.add_eint"(%729, %99) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %762 = "FHE.add_eint"(%730, %36) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %763 = "FHE.add_eint"(%731, %100) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %764 = "FHE.add_eint"(%732, %41) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %765 = "FHE.add_eint"(%733, %105) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %766 = "FHE.add_eint"(%734, %48) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %767 = "FHE.add_eint"(%735, %112) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_733 = arith.constant dense<"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"> : tensor<256xi64>
-    %768 = "FHE.apply_lookup_table"(%736, %cst_733) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_734 = arith.constant dense<"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"> : tensor<256xi64>
-    %769 = "FHE.apply_lookup_table"(%737, %cst_734) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_735 = arith.constant dense<"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"> : tensor<256xi64>
-    %770 = "FHE.apply_lookup_table"(%738, %cst_735) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_736 = arith.constant dense<"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"> : tensor<256xi64>
-    %771 = "FHE.apply_lookup_table"(%739, %cst_736) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_737 = arith.constant dense<"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"> : tensor<256xi64>
-    %772 = "FHE.apply_lookup_table"(%740, %cst_737) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_738 = arith.constant dense<"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"> : tensor<256xi64>
-    %773 = "FHE.apply_lookup_table"(%741, %cst_738) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_739 = arith.constant dense<"0x0000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000"> : tensor<256xi64>
-    %774 = "FHE.apply_lookup_table"(%742, %cst_739) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_740 = arith.constant dense<"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"> : tensor<256xi64>
-    %775 = "FHE.apply_lookup_table"(%743, %cst_740) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_741 = arith.constant dense<"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"> : tensor<256xi64>
-    %776 = "FHE.apply_lookup_table"(%744, %cst_741) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_742 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %777 = "FHE.apply_lookup_table"(%745, %cst_742) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_743 = arith.constant dense<"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"> : tensor<256xi64>
-    %778 = "FHE.apply_lookup_table"(%746, %cst_743) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_744 = arith.constant dense<"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"> : tensor<256xi64>
-    %779 = "FHE.apply_lookup_table"(%747, %cst_744) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_745 = arith.constant dense<"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"> : tensor<256xi64>
-    %780 = "FHE.apply_lookup_table"(%748, %cst_745) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_746 = arith.constant dense<"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"> : tensor<256xi64>
-    %781 = "FHE.apply_lookup_table"(%749, %cst_746) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_747 = arith.constant dense<"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"> : tensor<256xi64>
-    %782 = "FHE.apply_lookup_table"(%750, %cst_747) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_748 = arith.constant dense<"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"> : tensor<256xi64>
-    %783 = "FHE.apply_lookup_table"(%751, %cst_748) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_749 = arith.constant dense<"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"> : tensor<256xi64>
-    %784 = "FHE.apply_lookup_table"(%752, %cst_749) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_750 = arith.constant dense<"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"> : tensor<256xi64>
-    %785 = "FHE.apply_lookup_table"(%753, %cst_750) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_751 = arith.constant dense<"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"> : tensor<256xi64>
-    %786 = "FHE.apply_lookup_table"(%754, %cst_751) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_752 = arith.constant dense<"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"> : tensor<256xi64>
-    %787 = "FHE.apply_lookup_table"(%755, %cst_752) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_753 = arith.constant dense<"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"> : tensor<256xi64>
-    %788 = "FHE.apply_lookup_table"(%756, %cst_753) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_754 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %789 = "FHE.apply_lookup_table"(%757, %cst_754) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_755 = arith.constant dense<"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"> : tensor<256xi64>
-    %790 = "FHE.apply_lookup_table"(%758, %cst_755) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_756 = arith.constant dense<"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"> : tensor<256xi64>
-    %791 = "FHE.apply_lookup_table"(%759, %cst_756) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_757 = arith.constant dense<"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"> : tensor<256xi64>
-    %792 = "FHE.apply_lookup_table"(%760, %cst_757) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_758 = arith.constant dense<"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"> : tensor<256xi64>
-    %793 = "FHE.apply_lookup_table"(%761, %cst_758) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_759 = arith.constant dense<"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"> : tensor<256xi64>
-    %794 = "FHE.apply_lookup_table"(%762, %cst_759) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_760 = arith.constant dense<"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"> : tensor<256xi64>
-    %795 = "FHE.apply_lookup_table"(%763, %cst_760) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_761 = arith.constant dense<"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"> : tensor<256xi64>
-    %796 = "FHE.apply_lookup_table"(%764, %cst_761) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_762 = arith.constant dense<"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"> : tensor<256xi64>
-    %797 = "FHE.apply_lookup_table"(%765, %cst_762) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_763 = arith.constant dense<"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"> : tensor<256xi64>
-    %798 = "FHE.apply_lookup_table"(%766, %cst_763) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_764 = arith.constant dense<"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"> : tensor<256xi64>
-    %799 = "FHE.apply_lookup_table"(%767, %cst_764) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %800 = "FHE.add_eint"(%768, %769) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %801 = "FHE.add_eint"(%770, %771) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %802 = "FHE.add_eint"(%772, %773) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %803 = "FHE.add_eint"(%774, %775) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %804 = "FHE.add_eint"(%776, %777) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %805 = "FHE.add_eint"(%778, %779) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %806 = "FHE.add_eint"(%780, %781) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %807 = "FHE.add_eint"(%782, %783) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %808 = "FHE.add_eint"(%784, %785) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %809 = "FHE.add_eint"(%786, %787) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %810 = "FHE.add_eint"(%788, %789) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %811 = "FHE.add_eint"(%790, %791) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %812 = "FHE.add_eint"(%792, %793) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %813 = "FHE.add_eint"(%794, %795) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %814 = "FHE.add_eint"(%796, %797) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %815 = "FHE.add_eint"(%798, %799) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_765 = arith.constant dense<"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"> : tensor<256xi64>
-    %816 = "FHE.apply_lookup_table"(%800, %cst_765) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_766 = arith.constant dense<"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"> : tensor<256xi64>
-    %817 = "FHE.apply_lookup_table"(%800, %cst_766) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_767 = arith.constant dense<"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"> : tensor<256xi64>
-    %818 = "FHE.apply_lookup_table"(%800, %cst_767) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_768 = arith.constant dense<"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"> : tensor<256xi64>
-    %819 = "FHE.apply_lookup_table"(%800, %cst_768) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_769 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %820 = "FHE.apply_lookup_table"(%800, %cst_769) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_770 = arith.constant dense<"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"> : tensor<256xi64>
-    %821 = "FHE.apply_lookup_table"(%800, %cst_770) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_771 = arith.constant dense<"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"> : tensor<256xi64>
-    %822 = "FHE.apply_lookup_table"(%800, %cst_771) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_772 = arith.constant dense<"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"> : tensor<256xi64>
-    %823 = "FHE.apply_lookup_table"(%800, %cst_772) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_773 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %824 = "FHE.apply_lookup_table"(%801, %cst_773) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_774 = arith.constant dense<"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"> : tensor<256xi64>
-    %825 = "FHE.apply_lookup_table"(%801, %cst_774) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_775 = arith.constant dense<"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"> : tensor<256xi64>
-    %826 = "FHE.apply_lookup_table"(%801, %cst_775) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_776 = arith.constant dense<"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"> : tensor<256xi64>
-    %827 = "FHE.apply_lookup_table"(%801, %cst_776) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_777 = arith.constant dense<"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"> : tensor<256xi64>
-    %828 = "FHE.apply_lookup_table"(%801, %cst_777) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_778 = arith.constant dense<"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"> : tensor<256xi64>
-    %829 = "FHE.apply_lookup_table"(%801, %cst_778) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_779 = arith.constant dense<"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"> : tensor<256xi64>
-    %830 = "FHE.apply_lookup_table"(%801, %cst_779) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_780 = arith.constant dense<"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"> : tensor<256xi64>
-    %831 = "FHE.apply_lookup_table"(%801, %cst_780) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_781 = arith.constant dense<"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"> : tensor<256xi64>
-    %832 = "FHE.apply_lookup_table"(%802, %cst_781) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_782 = arith.constant dense<"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"> : tensor<256xi64>
-    %833 = "FHE.apply_lookup_table"(%802, %cst_782) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_783 = arith.constant dense<"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"> : tensor<256xi64>
-    %834 = "FHE.apply_lookup_table"(%802, %cst_783) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_784 = arith.constant dense<"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"> : tensor<256xi64>
-    %835 = "FHE.apply_lookup_table"(%802, %cst_784) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_785 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %836 = "FHE.apply_lookup_table"(%802, %cst_785) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_786 = arith.constant dense<"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"> : tensor<256xi64>
-    %837 = "FHE.apply_lookup_table"(%802, %cst_786) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_787 = arith.constant dense<"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"> : tensor<256xi64>
-    %838 = "FHE.apply_lookup_table"(%802, %cst_787) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_788 = arith.constant dense<"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"> : tensor<256xi64>
-    %839 = "FHE.apply_lookup_table"(%802, %cst_788) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_789 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %840 = "FHE.apply_lookup_table"(%803, %cst_789) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_790 = arith.constant dense<"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"> : tensor<256xi64>
-    %841 = "FHE.apply_lookup_table"(%803, %cst_790) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_791 = arith.constant dense<"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"> : tensor<256xi64>
-    %842 = "FHE.apply_lookup_table"(%803, %cst_791) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_792 = arith.constant dense<"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"> : tensor<256xi64>
-    %843 = "FHE.apply_lookup_table"(%803, %cst_792) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_793 = arith.constant dense<"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"> : tensor<256xi64>
-    %844 = "FHE.apply_lookup_table"(%803, %cst_793) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_794 = arith.constant dense<"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"> : tensor<256xi64>
-    %845 = "FHE.apply_lookup_table"(%803, %cst_794) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_795 = arith.constant dense<"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"> : tensor<256xi64>
-    %846 = "FHE.apply_lookup_table"(%803, %cst_795) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_796 = arith.constant dense<"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"> : tensor<256xi64>
-    %847 = "FHE.apply_lookup_table"(%803, %cst_796) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_797 = arith.constant dense<"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"> : tensor<256xi64>
-    %848 = "FHE.apply_lookup_table"(%804, %cst_797) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_798 = arith.constant dense<"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"> : tensor<256xi64>
-    %849 = "FHE.apply_lookup_table"(%804, %cst_798) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_799 = arith.constant dense<"0x06000000000000000700000000000000070000000000000007000000000000000F00000000000000060000000000000006000000000000000C0000000000000003000000000000000000000000000000060000000000000002000000000000000F000000000000000D000000000000000A0000000000000007000000000000000C0000000000000008000000000000000C0000000000000007000000000000000F00000000000000050000000000000004000000000000000F000000000000000A000000000000000D000000000000000A000000000000000A0000000000000009000000000000000A0000000000000007000000000000000C000000000000000B000000000000000F0000000000000009000000000000000200000000000000030000000000000003000000000000000F000000000000000C0000000000000003000000000000000A000000000000000E000000000000000F0000000000000007000000000000000D000000000000000300000000000000010000000000000000000000000000000C0000000000000002000000000000000C0000000000000001000000000000000900000000000000000000000000000009000000000000000000000000000000010000000000000008000000000000000E000000000000000E0000000000000002000000000000000B00000000000000070000000000000000000000000000000800000000000000020000000000000001000000000000000100000000000000060000000000000005000000000000000A00000000000000050000000000000003000000000000000D000000000000000B0000000000000002000000000000000E000000000000000200000000000000080000000000000005000000000000000D0000000000000000000000000000000E0000000000000002000000000000000F000000000000000B00000000000000050000000000000006000000000000000C000000000000000B0000000000000003000000000000000400000000000000040000000000000005000000000000000C000000000000000D000000000000000E000000000000000A000000000000000F00000000000000040000000000000004000000000000000300000000000000080000000000000004000000000000000F00000000000000000000000000000007000000000000000500000000000000030000000000000009000000000000000A0000000000000005000000000000000A00000000000000040000000000000008000000000000000900000000000000090000000000000003000000000000000F000000000000000B000000000000000B000000000000000D00000000000000020000000000000001000000000000000F000000000000000F000000000000000D000000000000000C00000000000000000000000000000001000000000000000E0000000000000005000000000000000900000000000000040000000000000001000000000000000C000000000000000A000000000000000700000000000000030000000000000006000000000000000500000000000000010000000000000007000000000000000600000000000000080000000000000004000000000000000D00000000000000020000000000000002000000000000000900000000000000080000000000000004000000000000000E000000000000000B0000000000000001000000000000000D00000000000000050000000000000000000000000000000D000000000000000E0000000000000003000000000000000300000000000000000000000000000004000000000000000000000000000000020000000000000005000000000000000C000000000000000D000000000000000A000000000000000600000000000000090000000000000009000000000000000E0000000000000007000000000000000E000000000000000C000000000000000300000000000000060000000000000008000000000000000D0000000000000004000000000000000A00000000000000060000000000000005000000000000000F000000000000000E00000000000000060000000000000007000000000000000A0000000000000000000000000000000B0000000000000007000000000000000200000000000000020000000000000001000000000000000A000000000000000B000000000000000C000000000000000E000000000000000D000000000000000700000000000000010000000000000004000000000000000B0000000000000008000000000000000800000000000000070000000000000003000000000000000B000000000000000600000000000000040000000000000000000000000000000F0000000000000000000000000000000600000000000000030000000000000005000000000000000B0000000000000008000000000000000C00000000000000010000000000000009000000000000000E000000000000000F000000000000000900000000000000010000000000000006000000000000000D00000000000000080000000000000009000000000000000900000000000000010000000000000008000000000000000E000000000000000C00000000000000050000000000000002000000000000000D0000000000000008000000000000000A00000000000000080000000000000000000000000000000B000000000000000E000000000000000400000000000000060000000000000004000000000000000900000000000000020000000000000000000000000000000B0000000000000005000000000000000B000000000000000100000000000000"> : tensor<256xi64>
-    %850 = "FHE.apply_lookup_table"(%804, %cst_799) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_800 = arith.constant dense<"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"> : tensor<256xi64>
-    %851 = "FHE.apply_lookup_table"(%804, %cst_800) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_801 = arith.constant dense<"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"> : tensor<256xi64>
-    %852 = "FHE.apply_lookup_table"(%804, %cst_801) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_802 = arith.constant dense<"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"> : tensor<256xi64>
-    %853 = "FHE.apply_lookup_table"(%804, %cst_802) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_803 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %854 = "FHE.apply_lookup_table"(%804, %cst_803) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_804 = arith.constant dense<"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"> : tensor<256xi64>
-    %855 = "FHE.apply_lookup_table"(%804, %cst_804) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_805 = arith.constant dense<"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"> : tensor<256xi64>
-    %856 = "FHE.apply_lookup_table"(%805, %cst_805) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_806 = arith.constant dense<"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"> : tensor<256xi64>
-    %857 = "FHE.apply_lookup_table"(%805, %cst_806) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_807 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %858 = "FHE.apply_lookup_table"(%805, %cst_807) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_808 = arith.constant dense<"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"> : tensor<256xi64>
-    %859 = "FHE.apply_lookup_table"(%805, %cst_808) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_809 = arith.constant dense<"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"> : tensor<256xi64>
-    %860 = "FHE.apply_lookup_table"(%805, %cst_809) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_810 = arith.constant dense<"0x03000000000000000C0000000000000007000000000000000B0000000000000002000000000000000B000000000000000F0000000000000005000000000000000000000000000000010000000000000007000000000000000B000000000000000E0000000000000007000000000000000B0000000000000006000000000000000A00000000000000020000000000000009000000000000000D000000000000000A000000000000000900000000000000070000000000000000000000000000000D00000000000000040000000000000002000000000000000F000000000000000C0000000000000004000000000000000200000000000000000000000000000007000000000000000D000000000000000300000000000000060000000000000006000000000000000F0000000000000007000000000000000C000000000000000400000000000000050000000000000005000000000000000100000000000000010000000000000008000000000000000100000000000000050000000000000004000000000000000700000000000000030000000000000003000000000000000800000000000000060000000000000005000000000000000A0000000000000007000000000000000200000000000000000000000000000002000000000000000B00000000000000070000000000000002000000000000000500000000000000090000000000000003000000000000000C000000000000000A000000000000000B000000000000000E000000000000000A00000000000000000000000000000002000000000000000B0000000000000006000000000000000300000000000000090000000000000003000000000000000F0000000000000004000000000000000300000000000000010000000000000000000000000000000D0000000000000000000000000000000C0000000000000001000000000000000B000000000000000A000000000000000B000000000000000E0000000000000009000000000000000A000000000000000C0000000000000008000000000000000F0000000000000000000000000000000F000000000000000A000000000000000B0000000000000003000000000000000D00000000000000030000000000000005000000000000000500000000000000090000000000000002000000000000000F0000000000000000000000000000000C000000000000000F0000000000000008000000000000000100000000000000030000000000000000000000000000000F0000000000000002000000000000000D00000000000000080000000000000005000000000000000C0000000000000006000000000000000A00000000000000010000000000000000000000000000000F00000000000000030000000000000002000000000000000D000000000000000C0000000000000003000000000000000C000000000000000F00000000000000070000000000000004000000000000000700000000000000040000000000000007000000000000000E000000000000000D0000000000000004000000000000000D0000000000000009000000000000000300000000000000000000000000000001000000000000000F000000000000000C0000000000000002000000000000000A000000000000000000000000000000080000000000000006000000000000000E00000000000000080000000000000004000000000000000E000000000000000E000000000000000B000000000000000B00000000000000000000000000000002000000000000000A000000000000000A000000000000000900000000000000060000000000000004000000000000000C00000000000000020000000000000003000000000000000C00000000000000020000000000000001000000000000000500000000000000040000000000000009000000000000000700000000000000080000000000000007000000000000000D000000000000000D0000000000000005000000000000000E0000000000000009000000000000000C00000000000000060000000000000004000000000000000A0000000000000005000000000000000A000000000000000E0000000000000008000000000000000A00000000000000080000000000000005000000000000000E000000000000000C0000000000000006000000000000000400000000000000060000000000000008000000000000000D0000000000000004000000000000000F000000000000000B000000000000000D000000000000000B000000000000000A0000000000000000000000000000000E00000000000000050000000000000006000000000000000800000000000000030000000000000006000000000000000E000000000000000100000000000000050000000000000007000000000000000900000000000000060000000000000001000000000000000D000000000000000E000000000000000100000000000000080000000000000008000000000000000100000000000000090000000000000009000000000000000E0000000000000004000000000000000B000000000000000E00000000000000070000000000000009000000000000000E00000000000000050000000000000008000000000000000F000000000000000C00000000000000010000000000000009000000000000000D000000000000000F00000000000000060000000000000002000000000000000800000000000000010000000000000009000000000000000D000000000000000F00000000000000000000000000000004000000000000000B000000000000000600000000000000"> : tensor<256xi64>
-    %861 = "FHE.apply_lookup_table"(%805, %cst_810) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_811 = arith.constant dense<"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"> : tensor<256xi64>
-    %862 = "FHE.apply_lookup_table"(%805, %cst_811) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_812 = arith.constant dense<"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"> : tensor<256xi64>
-    %863 = "FHE.apply_lookup_table"(%805, %cst_812) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_813 = arith.constant dense<"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"> : tensor<256xi64>
-    %864 = "FHE.apply_lookup_table"(%806, %cst_813) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_814 = arith.constant dense<"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"> : tensor<256xi64>
-    %865 = "FHE.apply_lookup_table"(%806, %cst_814) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_815 = arith.constant dense<"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"> : tensor<256xi64>
-    %866 = "FHE.apply_lookup_table"(%806, %cst_815) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_816 = arith.constant dense<"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"> : tensor<256xi64>
-    %867 = "FHE.apply_lookup_table"(%806, %cst_816) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_817 = arith.constant dense<"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"> : tensor<256xi64>
-    %868 = "FHE.apply_lookup_table"(%806, %cst_817) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_818 = arith.constant dense<"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"> : tensor<256xi64>
-    %869 = "FHE.apply_lookup_table"(%806, %cst_818) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_819 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %870 = "FHE.apply_lookup_table"(%806, %cst_819) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_820 = arith.constant dense<"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"> : tensor<256xi64>
-    %871 = "FHE.apply_lookup_table"(%806, %cst_820) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_821 = arith.constant dense<"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"> : tensor<256xi64>
-    %872 = "FHE.apply_lookup_table"(%807, %cst_821) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_822 = arith.constant dense<"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"> : tensor<256xi64>
-    %873 = "FHE.apply_lookup_table"(%807, %cst_822) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_823 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %874 = "FHE.apply_lookup_table"(%807, %cst_823) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_824 = arith.constant dense<"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"> : tensor<256xi64>
-    %875 = "FHE.apply_lookup_table"(%807, %cst_824) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_825 = arith.constant dense<"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"> : tensor<256xi64>
-    %876 = "FHE.apply_lookup_table"(%807, %cst_825) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_826 = arith.constant dense<"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"> : tensor<256xi64>
-    %877 = "FHE.apply_lookup_table"(%807, %cst_826) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_827 = arith.constant dense<"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"> : tensor<256xi64>
-    %878 = "FHE.apply_lookup_table"(%807, %cst_827) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_828 = arith.constant dense<"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"> : tensor<256xi64>
-    %879 = "FHE.apply_lookup_table"(%807, %cst_828) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_829 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %880 = "FHE.apply_lookup_table"(%808, %cst_829) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_830 = arith.constant dense<"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"> : tensor<256xi64>
-    %881 = "FHE.apply_lookup_table"(%808, %cst_830) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_831 = arith.constant dense<"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"> : tensor<256xi64>
-    %882 = "FHE.apply_lookup_table"(%808, %cst_831) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_832 = arith.constant dense<"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"> : tensor<256xi64>
-    %883 = "FHE.apply_lookup_table"(%808, %cst_832) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_833 = arith.constant dense<"0x06000000000000000700000000000000070000000000000007000000000000000F00000000000000060000000000000006000000000000000C0000000000000003000000000000000000000000000000060000000000000002000000000000000F000000000000000D000000000000000A0000000000000007000000000000000C0000000000000008000000000000000C0000000000000007000000000000000F00000000000000050000000000000004000000000000000F000000000000000A000000000000000D000000000000000A000000000000000A0000000000000009000000000000000A0000000000000007000000000000000C000000000000000B000000000000000F0000000000000009000000000000000200000000000000030000000000000003000000000000000F000000000000000C0000000000000003000000000000000A000000000000000E000000000000000F0000000000000007000000000000000D000000000000000300000000000000010000000000000000000000000000000C0000000000000002000000000000000C0000000000000001000000000000000900000000000000000000000000000009000000000000000000000000000000010000000000000008000000000000000E000000000000000E0000000000000002000000000000000B00000000000000070000000000000000000000000000000800000000000000020000000000000001000000000000000100000000000000060000000000000005000000000000000A00000000000000050000000000000003000000000000000D000000000000000B0000000000000002000000000000000E000000000000000200000000000000080000000000000005000000000000000D0000000000000000000000000000000E0000000000000002000000000000000F000000000000000B00000000000000050000000000000006000000000000000C000000000000000B0000000000000003000000000000000400000000000000040000000000000005000000000000000C000000000000000D000000000000000E000000000000000A000000000000000F00000000000000040000000000000004000000000000000300000000000000080000000000000004000000000000000F00000000000000000000000000000007000000000000000500000000000000030000000000000009000000000000000A0000000000000005000000000000000A00000000000000040000000000000008000000000000000900000000000000090000000000000003000000000000000F000000000000000B000000000000000B000000000000000D00000000000000020000000000000001000000000000000F000000000000000F000000000000000D000000000000000C00000000000000000000000000000001000000000000000E0000000000000005000000000000000900000000000000040000000000000001000000000000000C000000000000000A000000000000000700000000000000030000000000000006000000000000000500000000000000010000000000000007000000000000000600000000000000080000000000000004000000000000000D00000000000000020000000000000002000000000000000900000000000000080000000000000004000000000000000E000000000000000B0000000000000001000000000000000D00000000000000050000000000000000000000000000000D000000000000000E0000000000000003000000000000000300000000000000000000000000000004000000000000000000000000000000020000000000000005000000000000000C000000000000000D000000000000000A000000000000000600000000000000090000000000000009000000000000000E0000000000000007000000000000000E000000000000000C000000000000000300000000000000060000000000000008000000000000000D0000000000000004000000000000000A00000000000000060000000000000005000000000000000F000000000000000E00000000000000060000000000000007000000000000000A0000000000000000000000000000000B0000000000000007000000000000000200000000000000020000000000000001000000000000000A000000000000000B000000000000000C000000000000000E000000000000000D000000000000000700000000000000010000000000000004000000000000000B0000000000000008000000000000000800000000000000070000000000000003000000000000000B000000000000000600000000000000040000000000000000000000000000000F0000000000000000000000000000000600000000000000030000000000000005000000000000000B0000000000000008000000000000000C00000000000000010000000000000009000000000000000E000000000000000F000000000000000900000000000000010000000000000006000000000000000D00000000000000080000000000000009000000000000000900000000000000010000000000000008000000000000000E000000000000000C00000000000000050000000000000002000000000000000D0000000000000008000000000000000A00000000000000080000000000000000000000000000000B000000000000000E000000000000000400000000000000060000000000000004000000000000000900000000000000020000000000000000000000000000000B0000000000000005000000000000000B000000000000000100000000000000"> : tensor<256xi64>
-    %884 = "FHE.apply_lookup_table"(%808, %cst_833) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_834 = arith.constant dense<"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"> : tensor<256xi64>
-    %885 = "FHE.apply_lookup_table"(%808, %cst_834) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_835 = arith.constant dense<"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"> : tensor<256xi64>
-    %886 = "FHE.apply_lookup_table"(%808, %cst_835) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_836 = arith.constant dense<"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"> : tensor<256xi64>
-    %887 = "FHE.apply_lookup_table"(%808, %cst_836) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_837 = arith.constant dense<"0x06000000000000000700000000000000070000000000000007000000000000000F00000000000000060000000000000006000000000000000C0000000000000003000000000000000000000000000000060000000000000002000000000000000F000000000000000D000000000000000A0000000000000007000000000000000C0000000000000008000000000000000C0000000000000007000000000000000F00000000000000050000000000000004000000000000000F000000000000000A000000000000000D000000000000000A000000000000000A0000000000000009000000000000000A0000000000000007000000000000000C000000000000000B000000000000000F0000000000000009000000000000000200000000000000030000000000000003000000000000000F000000000000000C0000000000000003000000000000000A000000000000000E000000000000000F0000000000000007000000000000000D000000000000000300000000000000010000000000000000000000000000000C0000000000000002000000000000000C0000000000000001000000000000000900000000000000000000000000000009000000000000000000000000000000010000000000000008000000000000000E000000000000000E0000000000000002000000000000000B00000000000000070000000000000000000000000000000800000000000000020000000000000001000000000000000100000000000000060000000000000005000000000000000A00000000000000050000000000000003000000000000000D000000000000000B0000000000000002000000000000000E000000000000000200000000000000080000000000000005000000000000000D0000000000000000000000000000000E0000000000000002000000000000000F000000000000000B00000000000000050000000000000006000000000000000C000000000000000B0000000000000003000000000000000400000000000000040000000000000005000000000000000C000000000000000D000000000000000E000000000000000A000000000000000F00000000000000040000000000000004000000000000000300000000000000080000000000000004000000000000000F00000000000000000000000000000007000000000000000500000000000000030000000000000009000000000000000A0000000000000005000000000000000A00000000000000040000000000000008000000000000000900000000000000090000000000000003000000000000000F000000000000000B000000000000000B000000000000000D00000000000000020000000000000001000000000000000F000000000000000F000000000000000D000000000000000C00000000000000000000000000000001000000000000000E0000000000000005000000000000000900000000000000040000000000000001000000000000000C000000000000000A000000000000000700000000000000030000000000000006000000000000000500000000000000010000000000000007000000000000000600000000000000080000000000000004000000000000000D00000000000000020000000000000002000000000000000900000000000000080000000000000004000000000000000E000000000000000B0000000000000001000000000000000D00000000000000050000000000000000000000000000000D000000000000000E0000000000000003000000000000000300000000000000000000000000000004000000000000000000000000000000020000000000000005000000000000000C000000000000000D000000000000000A000000000000000600000000000000090000000000000009000000000000000E0000000000000007000000000000000E000000000000000C000000000000000300000000000000060000000000000008000000000000000D0000000000000004000000000000000A00000000000000060000000000000005000000000000000F000000000000000E00000000000000060000000000000007000000000000000A0000000000000000000000000000000B0000000000000007000000000000000200000000000000020000000000000001000000000000000A000000000000000B000000000000000C000000000000000E000000000000000D000000000000000700000000000000010000000000000004000000000000000B0000000000000008000000000000000800000000000000070000000000000003000000000000000B000000000000000600000000000000040000000000000000000000000000000F0000000000000000000000000000000600000000000000030000000000000005000000000000000B0000000000000008000000000000000C00000000000000010000000000000009000000000000000E000000000000000F000000000000000900000000000000010000000000000006000000000000000D00000000000000080000000000000009000000000000000900000000000000010000000000000008000000000000000E000000000000000C00000000000000050000000000000002000000000000000D0000000000000008000000000000000A00000000000000080000000000000000000000000000000B000000000000000E000000000000000400000000000000060000000000000004000000000000000900000000000000020000000000000000000000000000000B0000000000000005000000000000000B000000000000000100000000000000"> : tensor<256xi64>
-    %888 = "FHE.apply_lookup_table"(%809, %cst_837) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_838 = arith.constant dense<"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"> : tensor<256xi64>
-    %889 = "FHE.apply_lookup_table"(%809, %cst_838) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_839 = arith.constant dense<"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"> : tensor<256xi64>
-    %890 = "FHE.apply_lookup_table"(%809, %cst_839) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_840 = arith.constant dense<"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"> : tensor<256xi64>
-    %891 = "FHE.apply_lookup_table"(%809, %cst_840) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_841 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %892 = "FHE.apply_lookup_table"(%809, %cst_841) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_842 = arith.constant dense<"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"> : tensor<256xi64>
-    %893 = "FHE.apply_lookup_table"(%809, %cst_842) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_843 = arith.constant dense<"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"> : tensor<256xi64>
-    %894 = "FHE.apply_lookup_table"(%809, %cst_843) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_844 = arith.constant dense<"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"> : tensor<256xi64>
-    %895 = "FHE.apply_lookup_table"(%809, %cst_844) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_845 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %896 = "FHE.apply_lookup_table"(%810, %cst_845) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_846 = arith.constant dense<"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"> : tensor<256xi64>
-    %897 = "FHE.apply_lookup_table"(%810, %cst_846) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_847 = arith.constant dense<"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"> : tensor<256xi64>
-    %898 = "FHE.apply_lookup_table"(%810, %cst_847) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_848 = arith.constant dense<"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"> : tensor<256xi64>
-    %899 = "FHE.apply_lookup_table"(%810, %cst_848) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_849 = arith.constant dense<"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"> : tensor<256xi64>
-    %900 = "FHE.apply_lookup_table"(%810, %cst_849) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_850 = arith.constant dense<"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"> : tensor<256xi64>
-    %901 = "FHE.apply_lookup_table"(%810, %cst_850) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_851 = arith.constant dense<"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"> : tensor<256xi64>
-    %902 = "FHE.apply_lookup_table"(%810, %cst_851) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_852 = arith.constant dense<"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"> : tensor<256xi64>
-    %903 = "FHE.apply_lookup_table"(%810, %cst_852) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_853 = arith.constant dense<"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"> : tensor<256xi64>
-    %904 = "FHE.apply_lookup_table"(%811, %cst_853) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_854 = arith.constant dense<"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"> : tensor<256xi64>
-    %905 = "FHE.apply_lookup_table"(%811, %cst_854) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_855 = arith.constant dense<"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"> : tensor<256xi64>
-    %906 = "FHE.apply_lookup_table"(%811, %cst_855) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_856 = arith.constant dense<"0x060000000000000008000000000000000E0000000000000006000000000000000F0000000000000006000000000000000E000000000000000100000000000000000000000000000002000000000000000E000000000000000600000000000000070000000000000005000000000000000D000000000000000C000000000000000F000000000000000F0000000000000009000000000000000A000000000000000F0000000000000002000000000000000E000000000000000B00000000000000010000000000000003000000000000000F0000000000000005000000000000000300000000000000030000000000000004000000000000000B00000000000000050000000000000001000000000000000D000000000000000C000000000000000C000000000000000E0000000000000005000000000000000300000000000000080000000000000001000000000000000100000000000000090000000000000002000000000000000B0000000000000002000000000000000A000000000000000800000000000000050000000000000006000000000000000D00000000000000000000000000000007000000000000000A000000000000000F000000000000000E0000000000000004000000000000000B000000000000000F000000000000000D000000000000000E000000000000000F000000000000000A0000000000000002000000000000000D000000000000000800000000000000040000000000000006000000000000000C0000000000000004000000000000000B000000000000000400000000000000060000000000000007000000000000000D0000000000000002000000000000000D000000000000000E0000000000000003000000000000000600000000000000090000000000000000000000000000000100000000000000000000000000000003000000000000000900000000000000060000000000000004000000000000000D000000000000000700000000000000020000000000000004000000000000000800000000000000000000000000000005000000000000000B0000000000000005000000000000000F000000000000000D0000000000000006000000000000000A00000000000000060000000000000001000000000000000A00000000000000090000000000000004000000000000000E000000000000000000000000000000080000000000000005000000000000000B0000000000000002000000000000000D00000000000000000000000000000005000000000000000F00000000000000010000000000000000000000000000000100000000000000030000000000000007000000000000000F000000000000000200000000000000000000000000000005000000000000000D000000000000000F0000000000000001000000000000000800000000000000060000000000000003000000000000000E00000000000000050000000000000008000000000000000E00000000000000030000000000000005000000000000000C000000000000000A0000000000000008000000000000000A0000000000000002000000000000000600000000000000000000000000000009000000000000000E000000000000000300000000000000040000000000000004000000000000000B000000000000000B000000000000000C0000000000000007000000000000000B00000000000000080000000000000007000000000000000C0000000000000006000000000000000D000000000000000B0000000000000004000000000000000400000000000000040000000000000002000000000000000C00000000000000080000000000000008000000000000000F000000000000000D0000000000000003000000000000000400000000000000090000000000000001000000000000000300000000000000020000000000000005000000000000000B000000000000000E000000000000000A00000000000000010000000000000001000000000000000C00000000000000090000000000000008000000000000000C0000000000000003000000000000000F000000000000000A000000000000000400000000000000070000000000000000000000000000000F0000000000000000000000000000000A000000000000000C0000000000000008000000000000000700000000000000030000000000000007000000000000000B00000000000000010000000000000008000000000000000E00000000000000060000000000000001000000000000000D000000000000000F0000000000000000000000000000000C0000000000000001000000000000000C000000000000000000000000000000060000000000000007000000000000000C0000000000000002000000000000000A000000000000000E000000000000000900000000000000070000000000000009000000000000000A00000000000000070000000000000009000000000000000B000000000000000B00000000000000020000000000000002000000000000000900000000000000070000000000000003000000000000000D000000000000000C000000000000000500000000000000090000000000000007000000000000000A00000000000000000000000000000005000000000000000300000000000000090000000000000009000000000000000A000000000000000500000000000000070000000000000004000000000000000000000000000000020000000000000009000000000000000A000000000000000E000000000000000B0000000000000008000000000000000D000000000000000C00000000000000"> : tensor<256xi64>
-    %907 = "FHE.apply_lookup_table"(%811, %cst_856) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_857 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %908 = "FHE.apply_lookup_table"(%811, %cst_857) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_858 = arith.constant dense<"0x0500000000000000040000000000000009000000000000000D000000000000000D000000000000000D00000000000000010000000000000004000000000000000000000000000000030000000000000009000000000000000D000000000000000900000000000000020000000000000006000000000000000A0000000000000005000000000000000D000000000000000000000000000000070000000000000005000000000000000B0000000000000009000000000000000B000000000000000C0000000000000007000000000000000D000000000000000A000000000000000F00000000000000070000000000000006000000000000000B0000000000000002000000000000000C000000000000000E000000000000000A000000000000000A00000000000000010000000000000002000000000000000F000000000000000C000000000000000400000000000000040000000000000008000000000000000300000000000000030000000000000003000000000000000F000000000000000C00000000000000020000000000000005000000000000000E00000000000000080000000000000001000000000000000F000000000000000500000000000000090000000000000006000000000000000B000000000000000D00000000000000060000000000000009000000000000000D000000000000000F000000000000000B000000000000000E0000000000000004000000000000000E000000000000000D0000000000000002000000000000000E000000000000000B0000000000000006000000000000000D0000000000000001000000000000000E000000000000000B000000000000000E00000000000000010000000000000007000000000000000500000000000000080000000000000000000000000000000C0000000000000000000000000000000F0000000000000008000000000000000D000000000000000E00000000000000060000000000000009000000000000000B000000000000000E00000000000000040000000000000008000000000000000A000000000000000B000000000000000A000000000000000500000000000000060000000000000005000000000000000700000000000000050000000000000004000000000000000F00000000000000000000000000000006000000000000000100000000000000000000000000000004000000000000000A00000000000000030000000000000003000000000000000E0000000000000000000000000000000A000000000000000D000000000000000C00000000000000080000000000000004000000000000000F0000000000000001000000000000000500000000000000030000000000000000000000000000000A000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000F00000000000000010000000000000002000000000000000C00000000000000090000000000000007000000000000000200000000000000020000000000000007000000000000000C0000000000000007000000000000000B0000000000000005000000000000000000000000000000080000000000000001000000000000000F0000000000000006000000000000000E000000000000000B0000000000000003000000000000000A00000000000000090000000000000003000000000000000C00000000000000090000000000000002000000000000000D0000000000000006000000000000000B0000000000000006000000000000000E000000000000000E000000000000000B000000000000000A000000000000000C0000000000000004000000000000000D000000000000000E000000000000000F0000000000000006000000000000000800000000000000040000000000000007000000000000000B0000000000000002000000000000000300000000000000090000000000000007000000000000000C0000000000000004000000000000000200000000000000000000000000000004000000000000000A00000000000000070000000000000005000000000000000F000000000000000E0000000000000009000000000000000800000000000000050000000000000008000000000000000F000000000000000200000000000000040000000000000001000000000000000700000000000000010000000000000003000000000000000C000000000000000C0000000000000001000000000000000D000000000000000C00000000000000060000000000000005000000000000000000000000000000020000000000000004000000000000000A00000000000000080000000000000005000000000000000100000000000000020000000000000003000000000000000F0000000000000009000000000000000000000000000000010000000000000008000000000000000700000000000000090000000000000008000000000000000300000000000000030000000000000003000000000000000B00000000000000000000000000000009000000000000000700000000000000060000000000000002000000000000000200000000000000000000000000000009000000000000000F0000000000000008000000000000000A000000000000000F000000000000000800000000000000000000000000000007000000000000000A0000000000000001000000000000000600000000000000080000000000000003000000000000000000000000000000070000000000000001000000000000000B000000000000000C0000000000000006000000000000000A00000000000000"> : tensor<256xi64>
-    %909 = "FHE.apply_lookup_table"(%811, %cst_858) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_859 = arith.constant dense<"0x06000000000000000700000000000000070000000000000007000000000000000F00000000000000060000000000000006000000000000000C0000000000000003000000000000000000000000000000060000000000000002000000000000000F000000000000000D000000000000000A0000000000000007000000000000000C0000000000000008000000000000000C0000000000000007000000000000000F00000000000000050000000000000004000000000000000F000000000000000A000000000000000D000000000000000A000000000000000A0000000000000009000000000000000A0000000000000007000000000000000C000000000000000B000000000000000F0000000000000009000000000000000200000000000000030000000000000003000000000000000F000000000000000C0000000000000003000000000000000A000000000000000E000000000000000F0000000000000007000000000000000D000000000000000300000000000000010000000000000000000000000000000C0000000000000002000000000000000C0000000000000001000000000000000900000000000000000000000000000009000000000000000000000000000000010000000000000008000000000000000E000000000000000E0000000000000002000000000000000B00000000000000070000000000000000000000000000000800000000000000020000000000000001000000000000000100000000000000060000000000000005000000000000000A00000000000000050000000000000003000000000000000D000000000000000B0000000000000002000000000000000E000000000000000200000000000000080000000000000005000000000000000D0000000000000000000000000000000E0000000000000002000000000000000F000000000000000B00000000000000050000000000000006000000000000000C000000000000000B0000000000000003000000000000000400000000000000040000000000000005000000000000000C000000000000000D000000000000000E000000000000000A000000000000000F00000000000000040000000000000004000000000000000300000000000000080000000000000004000000000000000F00000000000000000000000000000007000000000000000500000000000000030000000000000009000000000000000A0000000000000005000000000000000A00000000000000040000000000000008000000000000000900000000000000090000000000000003000000000000000F000000000000000B000000000000000B000000000000000D00000000000000020000000000000001000000000000000F000000000000000F000000000000000D000000000000000C00000000000000000000000000000001000000000000000E0000000000000005000000000000000900000000000000040000000000000001000000000000000C000000000000000A000000000000000700000000000000030000000000000006000000000000000500000000000000010000000000000007000000000000000600000000000000080000000000000004000000000000000D00000000000000020000000000000002000000000000000900000000000000080000000000000004000000000000000E000000000000000B0000000000000001000000000000000D00000000000000050000000000000000000000000000000D000000000000000E0000000000000003000000000000000300000000000000000000000000000004000000000000000000000000000000020000000000000005000000000000000C000000000000000D000000000000000A000000000000000600000000000000090000000000000009000000000000000E0000000000000007000000000000000E000000000000000C000000000000000300000000000000060000000000000008000000000000000D0000000000000004000000000000000A00000000000000060000000000000005000000000000000F000000000000000E00000000000000060000000000000007000000000000000A0000000000000000000000000000000B0000000000000007000000000000000200000000000000020000000000000001000000000000000A000000000000000B000000000000000C000000000000000E000000000000000D000000000000000700000000000000010000000000000004000000000000000B0000000000000008000000000000000800000000000000070000000000000003000000000000000B000000000000000600000000000000040000000000000000000000000000000F0000000000000000000000000000000600000000000000030000000000000005000000000000000B0000000000000008000000000000000C00000000000000010000000000000009000000000000000E000000000000000F000000000000000900000000000000010000000000000006000000000000000D00000000000000080000000000000009000000000000000900000000000000010000000000000008000000000000000E000000000000000C00000000000000050000000000000002000000000000000D0000000000000008000000000000000A00000000000000080000000000000000000000000000000B000000000000000E000000000000000400000000000000060000000000000004000000000000000900000000000000020000000000000000000000000000000B0000000000000005000000000000000B000000000000000100000000000000"> : tensor<256xi64>
-    %910 = "FHE.apply_lookup_table"(%811, %cst_859) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_860 = arith.constant dense<"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"> : tensor<256xi64>
-    %911 = "FHE.apply_lookup_table"(%811, %cst_860) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_861 = arith.constant dense<"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"> : tensor<256xi64>
-    %912 = "FHE.apply_lookup_table"(%812, %cst_861) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_862 = arith.constant dense<"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"> : tensor<256xi64>
-    %913 = "FHE.apply_lookup_table"(%812, %cst_862) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_863 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %914 = "FHE.apply_lookup_table"(%812, %cst_863) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_864 = arith.constant dense<"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"> : tensor<256xi64>
-    %915 = "FHE.apply_lookup_table"(%812, %cst_864) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_865 = arith.constant dense<"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"> : tensor<256xi64>
-    %916 = "FHE.apply_lookup_table"(%812, %cst_865) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_866 = arith.constant dense<"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"> : tensor<256xi64>
-    %917 = "FHE.apply_lookup_table"(%812, %cst_866) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_867 = arith.constant dense<"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"> : tensor<256xi64>
-    %918 = "FHE.apply_lookup_table"(%812, %cst_867) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_868 = arith.constant dense<"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"> : tensor<256xi64>
-    %919 = "FHE.apply_lookup_table"(%812, %cst_868) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_869 = arith.constant dense<"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"> : tensor<256xi64>
-    %920 = "FHE.apply_lookup_table"(%813, %cst_869) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_870 = arith.constant dense<"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"> : tensor<256xi64>
-    %921 = "FHE.apply_lookup_table"(%813, %cst_870) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_871 = arith.constant dense<"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"> : tensor<256xi64>
-    %922 = "FHE.apply_lookup_table"(%813, %cst_871) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_872 = arith.constant dense<"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"> : tensor<256xi64>
-    %923 = "FHE.apply_lookup_table"(%813, %cst_872) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_873 = arith.constant dense<"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"> : tensor<256xi64>
-    %924 = "FHE.apply_lookup_table"(%813, %cst_873) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_874 = arith.constant dense<"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"> : tensor<256xi64>
-    %925 = "FHE.apply_lookup_table"(%813, %cst_874) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_875 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %926 = "FHE.apply_lookup_table"(%813, %cst_875) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_876 = arith.constant dense<"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"> : tensor<256xi64>
-    %927 = "FHE.apply_lookup_table"(%813, %cst_876) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_877 = arith.constant dense<"0x0C000000000000000F000000000000000E000000000000000F000000000000000F000000000000000D000000000000000D000000000000000900000000000000060000000000000000000000000000000C0000000000000005000000000000000E000000000000000B0000000000000004000000000000000E000000000000000800000000000000010000000000000008000000000000000F000000000000000E000000000000000B0000000000000008000000000000000F0000000000000004000000000000000B0000000000000005000000000000000400000000000000020000000000000005000000000000000E00000000000000090000000000000007000000000000000E0000000000000003000000000000000400000000000000060000000000000007000000000000000F000000000000000800000000000000060000000000000005000000000000000D000000000000000F000000000000000E000000000000000A0000000000000006000000000000000200000000000000000000000000000009000000000000000400000000000000090000000000000003000000000000000300000000000000000000000000000002000000000000000000000000000000020000000000000001000000000000000D000000000000000C00000000000000040000000000000007000000000000000E00000000000000010000000000000001000000000000000500000000000000030000000000000003000000000000000D000000000000000B0000000000000005000000000000000A0000000000000007000000000000000B00000000000000070000000000000005000000000000000D00000000000000050000000000000001000000000000000A000000000000000B0000000000000000000000000000000C0000000000000004000000000000000E0000000000000007000000000000000B000000000000000D00000000000000080000000000000006000000000000000700000000000000090000000000000009000000000000000B0000000000000008000000000000000B000000000000000C0000000000000004000000000000000E00000000000000080000000000000009000000000000000600000000000000010000000000000008000000000000000E0000000000000000000000000000000F000000000000000A000000000000000700000000000000020000000000000004000000000000000A000000000000000500000000000000080000000000000000000000000000000300000000000000020000000000000007000000000000000F00000000000000060000000000000007000000000000000A00000000000000040000000000000002000000000000000E000000000000000F000000000000000B000000000000000800000000000000010000000000000002000000000000000C000000000000000B00000000000000030000000000000008000000000000000200000000000000090000000000000005000000000000000F0000000000000007000000000000000C000000000000000B0000000000000003000000000000000E000000000000000C00000000000000010000000000000009000000000000000A00000000000000040000000000000005000000000000000300000000000000000000000000000008000000000000000C00000000000000060000000000000002000000000000000A000000000000000B0000000000000001000000000000000A000000000000000D000000000000000600000000000000070000000000000001000000000000000900000000000000000000000000000004000000000000000B0000000000000009000000000000000B0000000000000004000000000000000C00000000000000030000000000000003000000000000000D000000000000000F000000000000000D00000000000000080000000000000006000000000000000D0000000000000000000000000000000B00000000000000090000000000000004000000000000000D000000000000000A000000000000000F000000000000000C000000000000000C000000000000000F000000000000000400000000000000010000000000000006000000000000000F000000000000000400000000000000050000000000000003000000000000000500000000000000070000000000000009000000000000000C000000000000000A000000000000000E00000000000000030000000000000009000000000000000600000000000000000000000000000000000000000000000E00000000000000070000000000000007000000000000000C00000000000000090000000000000000000000000000000F0000000000000001000000000000000C0000000000000006000000000000000A00000000000000060000000000000001000000000000000900000000000000030000000000000002000000000000000D000000000000000E00000000000000020000000000000002000000000000000D000000000000000A00000000000000000000000000000003000000000000000200000000000000030000000000000001000000000000000C0000000000000008000000000000000A0000000000000005000000000000000A00000000000000000000000000000005000000000000000000000000000000010000000000000006000000000000000D0000000000000008000000000000000D00000000000000080000000000000002000000000000000500000000000000010000000000000007000000000000000A0000000000000006000000000000000200000000000000"> : tensor<256xi64>
-    %928 = "FHE.apply_lookup_table"(%814, %cst_877) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_878 = arith.constant dense<"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"> : tensor<256xi64>
-    %929 = "FHE.apply_lookup_table"(%814, %cst_878) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_879 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %930 = "FHE.apply_lookup_table"(%814, %cst_879) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_880 = arith.constant dense<"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"> : tensor<256xi64>
-    %931 = "FHE.apply_lookup_table"(%814, %cst_880) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_881 = arith.constant dense<"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"> : tensor<256xi64>
-    %932 = "FHE.apply_lookup_table"(%814, %cst_881) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_882 = arith.constant dense<"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"> : tensor<256xi64>
-    %933 = "FHE.apply_lookup_table"(%814, %cst_882) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_883 = arith.constant dense<"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"> : tensor<256xi64>
-    %934 = "FHE.apply_lookup_table"(%814, %cst_883) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_884 = arith.constant dense<"0x03000000000000000C0000000000000007000000000000000B0000000000000002000000000000000B000000000000000F0000000000000005000000000000000000000000000000010000000000000007000000000000000B000000000000000E0000000000000007000000000000000B0000000000000006000000000000000A00000000000000020000000000000009000000000000000D000000000000000A000000000000000900000000000000070000000000000000000000000000000D00000000000000040000000000000002000000000000000F000000000000000C0000000000000004000000000000000200000000000000000000000000000007000000000000000D000000000000000300000000000000060000000000000006000000000000000F0000000000000007000000000000000C000000000000000400000000000000050000000000000005000000000000000100000000000000010000000000000008000000000000000100000000000000050000000000000004000000000000000700000000000000030000000000000003000000000000000800000000000000060000000000000005000000000000000A0000000000000007000000000000000200000000000000000000000000000002000000000000000B00000000000000070000000000000002000000000000000500000000000000090000000000000003000000000000000C000000000000000A000000000000000B000000000000000E000000000000000A00000000000000000000000000000002000000000000000B0000000000000006000000000000000300000000000000090000000000000003000000000000000F0000000000000004000000000000000300000000000000010000000000000000000000000000000D0000000000000000000000000000000C0000000000000001000000000000000B000000000000000A000000000000000B000000000000000E0000000000000009000000000000000A000000000000000C0000000000000008000000000000000F0000000000000000000000000000000F000000000000000A000000000000000B0000000000000003000000000000000D00000000000000030000000000000005000000000000000500000000000000090000000000000002000000000000000F0000000000000000000000000000000C000000000000000F0000000000000008000000000000000100000000000000030000000000000000000000000000000F0000000000000002000000000000000D00000000000000080000000000000005000000000000000C0000000000000006000000000000000A00000000000000010000000000000000000000000000000F00000000000000030000000000000002000000000000000D000000000000000C0000000000000003000000000000000C000000000000000F00000000000000070000000000000004000000000000000700000000000000040000000000000007000000000000000E000000000000000D0000000000000004000000000000000D0000000000000009000000000000000300000000000000000000000000000001000000000000000F000000000000000C0000000000000002000000000000000A000000000000000000000000000000080000000000000006000000000000000E00000000000000080000000000000004000000000000000E000000000000000E000000000000000B000000000000000B00000000000000000000000000000002000000000000000A000000000000000A000000000000000900000000000000060000000000000004000000000000000C00000000000000020000000000000003000000000000000C00000000000000020000000000000001000000000000000500000000000000040000000000000009000000000000000700000000000000080000000000000007000000000000000D000000000000000D0000000000000005000000000000000E0000000000000009000000000000000C00000000000000060000000000000004000000000000000A0000000000000005000000000000000A000000000000000E0000000000000008000000000000000A00000000000000080000000000000005000000000000000E000000000000000C0000000000000006000000000000000400000000000000060000000000000008000000000000000D0000000000000004000000000000000F000000000000000B000000000000000D000000000000000B000000000000000A0000000000000000000000000000000E00000000000000050000000000000006000000000000000800000000000000030000000000000006000000000000000E000000000000000100000000000000050000000000000007000000000000000900000000000000060000000000000001000000000000000D000000000000000E000000000000000100000000000000080000000000000008000000000000000100000000000000090000000000000009000000000000000E0000000000000004000000000000000B000000000000000E00000000000000070000000000000009000000000000000E00000000000000050000000000000008000000000000000F000000000000000C00000000000000010000000000000009000000000000000D000000000000000F00000000000000060000000000000002000000000000000800000000000000010000000000000009000000000000000D000000000000000F00000000000000000000000000000004000000000000000B000000000000000600000000000000"> : tensor<256xi64>
-    %935 = "FHE.apply_lookup_table"(%814, %cst_884) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_885 = arith.constant dense<"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"> : tensor<256xi64>
-    %936 = "FHE.apply_lookup_table"(%815, %cst_885) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_886 = arith.constant dense<"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"> : tensor<256xi64>
-    %937 = "FHE.apply_lookup_table"(%815, %cst_886) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_887 = arith.constant dense<"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"> : tensor<256xi64>
-    %938 = "FHE.apply_lookup_table"(%815, %cst_887) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_888 = arith.constant dense<"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"> : tensor<256xi64>
-    %939 = "FHE.apply_lookup_table"(%815, %cst_888) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_889 = arith.constant dense<"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"> : tensor<256xi64>
-    %940 = "FHE.apply_lookup_table"(%815, %cst_889) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_890 = arith.constant dense<"0x060000000000000008000000000000000E0000000000000006000000000000000F0000000000000006000000000000000E000000000000000100000000000000000000000000000002000000000000000E000000000000000600000000000000070000000000000005000000000000000D000000000000000C000000000000000F000000000000000F0000000000000009000000000000000A000000000000000F0000000000000002000000000000000E000000000000000B00000000000000010000000000000003000000000000000F0000000000000005000000000000000300000000000000030000000000000004000000000000000B00000000000000050000000000000001000000000000000D000000000000000C000000000000000C000000000000000E0000000000000005000000000000000300000000000000080000000000000001000000000000000100000000000000090000000000000002000000000000000B0000000000000002000000000000000A000000000000000800000000000000050000000000000006000000000000000D00000000000000000000000000000007000000000000000A000000000000000F000000000000000E0000000000000004000000000000000B000000000000000F000000000000000D000000000000000E000000000000000F000000000000000A0000000000000002000000000000000D000000000000000800000000000000040000000000000006000000000000000C0000000000000004000000000000000B000000000000000400000000000000060000000000000007000000000000000D0000000000000002000000000000000D000000000000000E0000000000000003000000000000000600000000000000090000000000000000000000000000000100000000000000000000000000000003000000000000000900000000000000060000000000000004000000000000000D000000000000000700000000000000020000000000000004000000000000000800000000000000000000000000000005000000000000000B0000000000000005000000000000000F000000000000000D0000000000000006000000000000000A00000000000000060000000000000001000000000000000A00000000000000090000000000000004000000000000000E000000000000000000000000000000080000000000000005000000000000000B0000000000000002000000000000000D00000000000000000000000000000005000000000000000F00000000000000010000000000000000000000000000000100000000000000030000000000000007000000000000000F000000000000000200000000000000000000000000000005000000000000000D000000000000000F0000000000000001000000000000000800000000000000060000000000000003000000000000000E00000000000000050000000000000008000000000000000E00000000000000030000000000000005000000000000000C000000000000000A0000000000000008000000000000000A0000000000000002000000000000000600000000000000000000000000000009000000000000000E000000000000000300000000000000040000000000000004000000000000000B000000000000000B000000000000000C0000000000000007000000000000000B00000000000000080000000000000007000000000000000C0000000000000006000000000000000D000000000000000B0000000000000004000000000000000400000000000000040000000000000002000000000000000C00000000000000080000000000000008000000000000000F000000000000000D0000000000000003000000000000000400000000000000090000000000000001000000000000000300000000000000020000000000000005000000000000000B000000000000000E000000000000000A00000000000000010000000000000001000000000000000C00000000000000090000000000000008000000000000000C0000000000000003000000000000000F000000000000000A000000000000000400000000000000070000000000000000000000000000000F0000000000000000000000000000000A000000000000000C0000000000000008000000000000000700000000000000030000000000000007000000000000000B00000000000000010000000000000008000000000000000E00000000000000060000000000000001000000000000000D000000000000000F0000000000000000000000000000000C0000000000000001000000000000000C000000000000000000000000000000060000000000000007000000000000000C0000000000000002000000000000000A000000000000000E000000000000000900000000000000070000000000000009000000000000000A00000000000000070000000000000009000000000000000B000000000000000B00000000000000020000000000000002000000000000000900000000000000070000000000000003000000000000000D000000000000000C000000000000000500000000000000090000000000000007000000000000000A00000000000000000000000000000005000000000000000300000000000000090000000000000009000000000000000A000000000000000500000000000000070000000000000004000000000000000000000000000000020000000000000009000000000000000A000000000000000E000000000000000B0000000000000008000000000000000D000000000000000C00000000000000"> : tensor<256xi64>
-    %941 = "FHE.apply_lookup_table"(%815, %cst_890) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_891 = arith.constant dense<"0x0A0000000000000008000000000000000900000000000000080000000000000000000000000000000B000000000000000B000000000000000500000000000000050000000000000000000000000000000A000000000000000700000000000000010000000000000006000000000000000E000000000000000900000000000000040000000000000009000000000000000400000000000000080000000000000001000000000000000E000000000000000C0000000000000000000000000000000E0000000000000006000000000000000F000000000000000E000000000000000B000000000000000F00000000000000090000000000000005000000000000000C0000000000000001000000000000000A000000000000000600000000000000050000000000000004000000000000000000000000000000040000000000000005000000000000000F00000000000000030000000000000000000000000000000900000000000000070000000000000005000000000000000300000000000000000000000000000005000000000000000600000000000000050000000000000002000000000000000A0000000000000000000000000000000B000000000000000000000000000000030000000000000009000000000000000300000000000000020000000000000006000000000000000C000000000000000900000000000000010000000000000009000000000000000700000000000000020000000000000002000000000000000B000000000000000E000000000000000F000000000000000F00000000000000040000000000000006000000000000000C0000000000000007000000000000000300000000000000070000000000000009000000000000000F00000000000000060000000000000000000000000000000200000000000000060000000000000001000000000000000C000000000000000E000000000000000B0000000000000004000000000000000D0000000000000004000000000000000D000000000000000D000000000000000E000000000000000400000000000000060000000000000002000000000000000E0000000000000001000000000000000C000000000000000D00000000000000050000000000000009000000000000000C000000000000000100000000000000000000000000000008000000000000000F0000000000000004000000000000000B000000000000000E000000000000000F000000000000000F000000000000000C0000000000000008000000000000000A000000000000000B00000000000000040000000000000000000000000000000D000000000000000C0000000000000007000000000000000600000000000000030000000000000001000000000000000000000000000000060000000000000004000000000000000100000000000000030000000000000002000000000000000E000000000000000A000000000000000C00000000000000030000000000000005000000000000000F00000000000000080000000000000004000000000000000A000000000000000E00000000000000020000000000000009000000000000000A0000000000000009000000000000000D000000000000000700000000000000060000000000000007000000000000000A0000000000000008000000000000000C0000000000000002000000000000000D00000000000000030000000000000007000000000000000E000000000000000100000000000000070000000000000003000000000000000500000000000000040000000000000001000000000000000D00000000000000000000000000000006000000000000000E00000000000000050000000000000006000000000000000E000000000000000A000000000000000A000000000000000A00000000000000030000000000000008000000000000000300000000000000040000000000000005000000000000000B00000000000000080000000000000006000000000000000D000000000000000E000000000000000B000000000000000F00000000000000000000000000000002000000000000000A0000000000000008000000000000000E0000000000000001000000000000000D0000000000000008000000000000000600000000000000070000000000000002000000000000000F000000000000000C00000000000000050000000000000002000000000000000700000000000000090000000000000002000000000000000D000000000000000D0000000000000008000000000000000800000000000000090000000000000004000000000000000C000000000000000A000000000000000D000000000000000000000000000000000000000000000001000000000000000A0000000000000005000000000000000F000000000000000D000000000000000900000000000000050000000000000002000000000000000B00000000000000030000000000000001000000000000000B0000000000000003000000000000000B00000000000000070000000000000008000000000000000A000000000000000B0000000000000002000000000000000900000000000000020000000000000004000000000000000F000000000000000700000000000000070000000000000008000000000000000F00000000000000080000000000000001000000000000000D0000000000000003000000000000000C000000000000000B000000000000000C000000000000000B00000000000000070000000000000001000000000000000C000000000000000F000000000000000D000000000000000300000000000000"> : tensor<256xi64>
-    %942 = "FHE.apply_lookup_table"(%815, %cst_891) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_892 = arith.constant dense<"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"> : tensor<256xi64>
-    %943 = "FHE.apply_lookup_table"(%815, %cst_892) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %944 = "FHE.mul_eint_int"(%840, %c16_i9_156) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %945 = "FHE.mul_eint_int"(%841, %c16_i9_157) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %946 = "FHE.mul_eint_int"(%842, %c16_i9_162) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %947 = "FHE.mul_eint_int"(%843, %c16_i9_163) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %948 = "FHE.mul_eint_int"(%844, %c16_i9_168) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %949 = "FHE.mul_eint_int"(%845, %c16_i9_169) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %950 = "FHE.mul_eint_int"(%846, %c16_i9_174) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %951 = "FHE.mul_eint_int"(%847, %c16_i9_175) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %952 = "FHE.mul_eint_int"(%872, %c16_i9_150) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %953 = "FHE.mul_eint_int"(%873, %c16_i9_151) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %954 = "FHE.mul_eint_int"(%874, %c16_i9_164) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %955 = "FHE.mul_eint_int"(%875, %c16_i9_165) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %956 = "FHE.mul_eint_int"(%876, %c16_i9_170) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %957 = "FHE.mul_eint_int"(%877, %c16_i9_171) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %958 = "FHE.mul_eint_int"(%878, %c16_i9_176) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %959 = "FHE.mul_eint_int"(%879, %c16_i9_177) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %960 = "FHE.mul_eint_int"(%904, %c16_i9_152) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %961 = "FHE.mul_eint_int"(%905, %c16_i9_153) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %962 = "FHE.mul_eint_int"(%906, %c16_i9_158) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %963 = "FHE.mul_eint_int"(%907, %c16_i9_159) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %964 = "FHE.mul_eint_int"(%908, %c16_i9_172) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %965 = "FHE.mul_eint_int"(%909, %c16_i9_173) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %966 = "FHE.mul_eint_int"(%910, %c16_i9_178) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %967 = "FHE.mul_eint_int"(%911, %c16_i9_179) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %968 = "FHE.mul_eint_int"(%936, %c16_i9_154) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %969 = "FHE.mul_eint_int"(%937, %c16_i9_155) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %970 = "FHE.mul_eint_int"(%938, %c16_i9_160) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %971 = "FHE.mul_eint_int"(%939, %c16_i9_161) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %972 = "FHE.mul_eint_int"(%940, %c16_i9_166) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %973 = "FHE.mul_eint_int"(%941, %c16_i9_167) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %974 = "FHE.mul_eint_int"(%942, %c16_i9_180) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %975 = "FHE.mul_eint_int"(%943, %c16_i9_181) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %976 = "FHE.add_eint"(%944, %864) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %977 = "FHE.add_eint"(%945, %865) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %978 = "FHE.add_eint"(%946, %866) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %979 = "FHE.add_eint"(%947, %867) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %980 = "FHE.add_eint"(%948, %868) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %981 = "FHE.add_eint"(%949, %869) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %982 = "FHE.add_eint"(%950, %870) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %983 = "FHE.add_eint"(%951, %871) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %984 = "FHE.add_eint"(%952, %896) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %985 = "FHE.add_eint"(%953, %897) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %986 = "FHE.add_eint"(%954, %898) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %987 = "FHE.add_eint"(%955, %899) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %988 = "FHE.add_eint"(%956, %900) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %989 = "FHE.add_eint"(%957, %901) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %990 = "FHE.add_eint"(%958, %902) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %991 = "FHE.add_eint"(%959, %903) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %992 = "FHE.add_eint"(%960, %928) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %993 = "FHE.add_eint"(%961, %929) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %994 = "FHE.add_eint"(%962, %930) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %995 = "FHE.add_eint"(%963, %931) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %996 = "FHE.add_eint"(%964, %932) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %997 = "FHE.add_eint"(%965, %933) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %998 = "FHE.add_eint"(%966, %934) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %999 = "FHE.add_eint"(%967, %935) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1000 = "FHE.add_eint"(%968, %832) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1001 = "FHE.add_eint"(%969, %833) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1002 = "FHE.add_eint"(%970, %834) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1003 = "FHE.add_eint"(%971, %835) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1004 = "FHE.add_eint"(%972, %836) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1005 = "FHE.add_eint"(%973, %837) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1006 = "FHE.add_eint"(%974, %838) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1007 = "FHE.add_eint"(%975, %839) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_893 = arith.constant dense<"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"> : tensor<256xi64>
-    %1008 = "FHE.apply_lookup_table"(%976, %cst_893) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_894 = arith.constant dense<"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"> : tensor<256xi64>
-    %1009 = "FHE.apply_lookup_table"(%977, %cst_894) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_895 = arith.constant dense<"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"> : tensor<256xi64>
-    %1010 = "FHE.apply_lookup_table"(%978, %cst_895) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_896 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %1011 = "FHE.apply_lookup_table"(%979, %cst_896) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_897 = arith.constant dense<"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"> : tensor<256xi64>
-    %1012 = "FHE.apply_lookup_table"(%980, %cst_897) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_898 = arith.constant dense<"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"> : tensor<256xi64>
-    %1013 = "FHE.apply_lookup_table"(%981, %cst_898) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_899 = arith.constant dense<"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"> : tensor<256xi64>
-    %1014 = "FHE.apply_lookup_table"(%982, %cst_899) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_900 = arith.constant dense<"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"> : tensor<256xi64>
-    %1015 = "FHE.apply_lookup_table"(%983, %cst_900) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_901 = arith.constant dense<"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"> : tensor<256xi64>
-    %1016 = "FHE.apply_lookup_table"(%984, %cst_901) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_902 = arith.constant dense<"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"> : tensor<256xi64>
-    %1017 = "FHE.apply_lookup_table"(%985, %cst_902) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_903 = arith.constant dense<"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"> : tensor<256xi64>
-    %1018 = "FHE.apply_lookup_table"(%986, %cst_903) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_904 = arith.constant dense<"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"> : tensor<256xi64>
-    %1019 = "FHE.apply_lookup_table"(%987, %cst_904) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_905 = arith.constant dense<"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"> : tensor<256xi64>
-    %1020 = "FHE.apply_lookup_table"(%988, %cst_905) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_906 = arith.constant dense<"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"> : tensor<256xi64>
-    %1021 = "FHE.apply_lookup_table"(%989, %cst_906) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_907 = arith.constant dense<"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"> : tensor<256xi64>
-    %1022 = "FHE.apply_lookup_table"(%990, %cst_907) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_908 = arith.constant dense<"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"> : tensor<256xi64>
-    %1023 = "FHE.apply_lookup_table"(%991, %cst_908) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_909 = arith.constant dense<"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"> : tensor<256xi64>
-    %1024 = "FHE.apply_lookup_table"(%992, %cst_909) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_910 = arith.constant dense<"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"> : tensor<256xi64>
-    %1025 = "FHE.apply_lookup_table"(%993, %cst_910) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_911 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %1026 = "FHE.apply_lookup_table"(%994, %cst_911) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_912 = arith.constant dense<"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"> : tensor<256xi64>
-    %1027 = "FHE.apply_lookup_table"(%995, %cst_912) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_913 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %1028 = "FHE.apply_lookup_table"(%996, %cst_913) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_914 = arith.constant dense<"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"> : tensor<256xi64>
-    %1029 = "FHE.apply_lookup_table"(%997, %cst_914) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_915 = arith.constant dense<"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"> : tensor<256xi64>
-    %1030 = "FHE.apply_lookup_table"(%998, %cst_915) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_916 = arith.constant dense<"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"> : tensor<256xi64>
-    %1031 = "FHE.apply_lookup_table"(%999, %cst_916) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_917 = arith.constant dense<"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"> : tensor<256xi64>
-    %1032 = "FHE.apply_lookup_table"(%1000, %cst_917) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_918 = arith.constant dense<"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"> : tensor<256xi64>
-    %1033 = "FHE.apply_lookup_table"(%1001, %cst_918) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_919 = arith.constant dense<"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"> : tensor<256xi64>
-    %1034 = "FHE.apply_lookup_table"(%1002, %cst_919) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_920 = arith.constant dense<"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"> : tensor<256xi64>
-    %1035 = "FHE.apply_lookup_table"(%1003, %cst_920) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_921 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %1036 = "FHE.apply_lookup_table"(%1004, %cst_921) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_922 = arith.constant dense<"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"> : tensor<256xi64>
-    %1037 = "FHE.apply_lookup_table"(%1005, %cst_922) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_923 = arith.constant dense<"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"> : tensor<256xi64>
-    %1038 = "FHE.apply_lookup_table"(%1006, %cst_923) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_924 = arith.constant dense<"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"> : tensor<256xi64>
-    %1039 = "FHE.apply_lookup_table"(%1007, %cst_924) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %1040 = "FHE.mul_eint_int"(%1008, %c16_i9_116) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1041 = "FHE.mul_eint_int"(%1009, %c16_i9_117) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1042 = "FHE.mul_eint_int"(%1010, %c16_i9_122) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1043 = "FHE.mul_eint_int"(%1011, %c16_i9_123) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1044 = "FHE.mul_eint_int"(%1012, %c16_i9_128) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1045 = "FHE.mul_eint_int"(%1013, %c16_i9_129) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1046 = "FHE.mul_eint_int"(%1014, %c16_i9_134) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1047 = "FHE.mul_eint_int"(%1015, %c16_i9_135) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1048 = "FHE.mul_eint_int"(%1016, %c16_i9_110) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1049 = "FHE.mul_eint_int"(%1017, %c16_i9_111) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1050 = "FHE.mul_eint_int"(%1018, %c16_i9_124) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1051 = "FHE.mul_eint_int"(%1019, %c16_i9_125) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1052 = "FHE.mul_eint_int"(%1020, %c16_i9_130) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1053 = "FHE.mul_eint_int"(%1021, %c16_i9_131) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1054 = "FHE.mul_eint_int"(%1022, %c16_i9_136) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1055 = "FHE.mul_eint_int"(%1023, %c16_i9_137) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1056 = "FHE.mul_eint_int"(%1024, %c16_i9_112) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1057 = "FHE.mul_eint_int"(%1025, %c16_i9_113) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1058 = "FHE.mul_eint_int"(%1026, %c16_i9_118) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1059 = "FHE.mul_eint_int"(%1027, %c16_i9_119) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1060 = "FHE.mul_eint_int"(%1028, %c16_i9_132) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1061 = "FHE.mul_eint_int"(%1029, %c16_i9_133) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1062 = "FHE.mul_eint_int"(%1030, %c16_i9_138) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1063 = "FHE.mul_eint_int"(%1031, %c16_i9_139) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1064 = "FHE.mul_eint_int"(%1032, %c16_i9_114) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1065 = "FHE.mul_eint_int"(%1033, %c16_i9_115) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1066 = "FHE.mul_eint_int"(%1034, %c16_i9_120) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1067 = "FHE.mul_eint_int"(%1035, %c16_i9_121) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1068 = "FHE.mul_eint_int"(%1036, %c16_i9_126) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1069 = "FHE.mul_eint_int"(%1037, %c16_i9_127) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1070 = "FHE.mul_eint_int"(%1038, %c16_i9_140) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1071 = "FHE.mul_eint_int"(%1039, %c16_i9_141) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1072 = "FHE.add_eint"(%1040, %888) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1073 = "FHE.add_eint"(%1041, %889) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1074 = "FHE.add_eint"(%1042, %890) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1075 = "FHE.add_eint"(%1043, %891) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1076 = "FHE.add_eint"(%1044, %892) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1077 = "FHE.add_eint"(%1045, %893) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1078 = "FHE.add_eint"(%1046, %894) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1079 = "FHE.add_eint"(%1047, %895) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1080 = "FHE.add_eint"(%1048, %920) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1081 = "FHE.add_eint"(%1049, %921) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1082 = "FHE.add_eint"(%1050, %922) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1083 = "FHE.add_eint"(%1051, %923) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1084 = "FHE.add_eint"(%1052, %924) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1085 = "FHE.add_eint"(%1053, %925) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1086 = "FHE.add_eint"(%1054, %926) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1087 = "FHE.add_eint"(%1055, %927) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1088 = "FHE.add_eint"(%1056, %824) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1089 = "FHE.add_eint"(%1057, %825) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1090 = "FHE.add_eint"(%1058, %826) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1091 = "FHE.add_eint"(%1059, %827) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1092 = "FHE.add_eint"(%1060, %828) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1093 = "FHE.add_eint"(%1061, %829) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1094 = "FHE.add_eint"(%1062, %830) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1095 = "FHE.add_eint"(%1063, %831) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1096 = "FHE.add_eint"(%1064, %856) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1097 = "FHE.add_eint"(%1065, %857) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1098 = "FHE.add_eint"(%1066, %858) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1099 = "FHE.add_eint"(%1067, %859) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1100 = "FHE.add_eint"(%1068, %860) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1101 = "FHE.add_eint"(%1069, %861) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1102 = "FHE.add_eint"(%1070, %862) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1103 = "FHE.add_eint"(%1071, %863) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_925 = arith.constant dense<"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"> : tensor<256xi64>
-    %1104 = "FHE.apply_lookup_table"(%1072, %cst_925) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_926 = arith.constant dense<"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"> : tensor<256xi64>
-    %1105 = "FHE.apply_lookup_table"(%1073, %cst_926) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_927 = arith.constant dense<"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"> : tensor<256xi64>
-    %1106 = "FHE.apply_lookup_table"(%1074, %cst_927) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_928 = arith.constant dense<"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"> : tensor<256xi64>
-    %1107 = "FHE.apply_lookup_table"(%1075, %cst_928) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_929 = arith.constant dense<"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"> : tensor<256xi64>
-    %1108 = "FHE.apply_lookup_table"(%1076, %cst_929) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_930 = arith.constant dense<"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"> : tensor<256xi64>
-    %1109 = "FHE.apply_lookup_table"(%1077, %cst_930) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_931 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %1110 = "FHE.apply_lookup_table"(%1078, %cst_931) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_932 = arith.constant dense<"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"> : tensor<256xi64>
-    %1111 = "FHE.apply_lookup_table"(%1079, %cst_932) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_933 = arith.constant dense<"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"> : tensor<256xi64>
-    %1112 = "FHE.apply_lookup_table"(%1080, %cst_933) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_934 = arith.constant dense<"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"> : tensor<256xi64>
-    %1113 = "FHE.apply_lookup_table"(%1081, %cst_934) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_935 = arith.constant dense<"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"> : tensor<256xi64>
-    %1114 = "FHE.apply_lookup_table"(%1082, %cst_935) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_936 = arith.constant dense<"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"> : tensor<256xi64>
-    %1115 = "FHE.apply_lookup_table"(%1083, %cst_936) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_937 = arith.constant dense<"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"> : tensor<256xi64>
-    %1116 = "FHE.apply_lookup_table"(%1084, %cst_937) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_938 = arith.constant dense<"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"> : tensor<256xi64>
-    %1117 = "FHE.apply_lookup_table"(%1085, %cst_938) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_939 = arith.constant dense<"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"> : tensor<256xi64>
-    %1118 = "FHE.apply_lookup_table"(%1086, %cst_939) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_940 = arith.constant dense<"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"> : tensor<256xi64>
-    %1119 = "FHE.apply_lookup_table"(%1087, %cst_940) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_941 = arith.constant dense<"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"> : tensor<256xi64>
-    %1120 = "FHE.apply_lookup_table"(%1088, %cst_941) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_942 = arith.constant dense<"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"> : tensor<256xi64>
-    %1121 = "FHE.apply_lookup_table"(%1089, %cst_942) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_943 = arith.constant dense<"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"> : tensor<256xi64>
-    %1122 = "FHE.apply_lookup_table"(%1090, %cst_943) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_944 = arith.constant dense<"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"> : tensor<256xi64>
-    %1123 = "FHE.apply_lookup_table"(%1091, %cst_944) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_945 = arith.constant dense<"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"> : tensor<256xi64>
-    %1124 = "FHE.apply_lookup_table"(%1092, %cst_945) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_946 = arith.constant dense<"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"> : tensor<256xi64>
-    %1125 = "FHE.apply_lookup_table"(%1093, %cst_946) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_947 = arith.constant dense<"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"> : tensor<256xi64>
-    %1126 = "FHE.apply_lookup_table"(%1094, %cst_947) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_948 = arith.constant dense<"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"> : tensor<256xi64>
-    %1127 = "FHE.apply_lookup_table"(%1095, %cst_948) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_949 = arith.constant dense<"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"> : tensor<256xi64>
-    %1128 = "FHE.apply_lookup_table"(%1096, %cst_949) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_950 = arith.constant dense<"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"> : tensor<256xi64>
-    %1129 = "FHE.apply_lookup_table"(%1097, %cst_950) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_951 = arith.constant dense<"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"> : tensor<256xi64>
-    %1130 = "FHE.apply_lookup_table"(%1098, %cst_951) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_952 = arith.constant dense<"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"> : tensor<256xi64>
-    %1131 = "FHE.apply_lookup_table"(%1099, %cst_952) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_953 = arith.constant dense<"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"> : tensor<256xi64>
-    %1132 = "FHE.apply_lookup_table"(%1100, %cst_953) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_954 = arith.constant dense<"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"> : tensor<256xi64>
-    %1133 = "FHE.apply_lookup_table"(%1101, %cst_954) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_955 = arith.constant dense<"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"> : tensor<256xi64>
-    %1134 = "FHE.apply_lookup_table"(%1102, %cst_955) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_956 = arith.constant dense<"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"> : tensor<256xi64>
-    %1135 = "FHE.apply_lookup_table"(%1103, %cst_956) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %1136 = "FHE.mul_eint_int"(%1104, %c16_i9_84) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1137 = "FHE.mul_eint_int"(%1105, %c16_i9_85) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1138 = "FHE.mul_eint_int"(%1106, %c16_i9_90) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1139 = "FHE.mul_eint_int"(%1107, %c16_i9_91) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1140 = "FHE.mul_eint_int"(%1108, %c16_i9_96) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1141 = "FHE.mul_eint_int"(%1109, %c16_i9_97) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1142 = "FHE.mul_eint_int"(%1110, %c16_i9_102) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1143 = "FHE.mul_eint_int"(%1111, %c16_i9_103) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1144 = "FHE.mul_eint_int"(%1112, %c16_i9_78) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1145 = "FHE.mul_eint_int"(%1113, %c16_i9_79) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1146 = "FHE.mul_eint_int"(%1114, %c16_i9_92) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1147 = "FHE.mul_eint_int"(%1115, %c16_i9_93) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1148 = "FHE.mul_eint_int"(%1116, %c16_i9_98) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1149 = "FHE.mul_eint_int"(%1117, %c16_i9_99) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1150 = "FHE.mul_eint_int"(%1118, %c16_i9_104) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1151 = "FHE.mul_eint_int"(%1119, %c16_i9_105) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1152 = "FHE.mul_eint_int"(%1120, %c16_i9_80) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1153 = "FHE.mul_eint_int"(%1121, %c16_i9_81) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1154 = "FHE.mul_eint_int"(%1122, %c16_i9_86) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1155 = "FHE.mul_eint_int"(%1123, %c16_i9_87) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1156 = "FHE.mul_eint_int"(%1124, %c16_i9_100) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1157 = "FHE.mul_eint_int"(%1125, %c16_i9_101) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1158 = "FHE.mul_eint_int"(%1126, %c16_i9_106) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1159 = "FHE.mul_eint_int"(%1127, %c16_i9_107) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1160 = "FHE.mul_eint_int"(%1128, %c16_i9_82) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1161 = "FHE.mul_eint_int"(%1129, %c16_i9_83) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1162 = "FHE.mul_eint_int"(%1130, %c16_i9_88) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1163 = "FHE.mul_eint_int"(%1131, %c16_i9_89) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1164 = "FHE.mul_eint_int"(%1132, %c16_i9_94) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1165 = "FHE.mul_eint_int"(%1133, %c16_i9_95) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1166 = "FHE.mul_eint_int"(%1134, %c16_i9_108) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1167 = "FHE.mul_eint_int"(%1135, %c16_i9_109) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1168 = "FHE.add_eint"(%1136, %912) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1169 = "FHE.add_eint"(%1137, %913) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1170 = "FHE.add_eint"(%1138, %914) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1171 = "FHE.add_eint"(%1139, %915) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1172 = "FHE.add_eint"(%1140, %916) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1173 = "FHE.add_eint"(%1141, %917) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1174 = "FHE.add_eint"(%1142, %918) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1175 = "FHE.add_eint"(%1143, %919) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1176 = "FHE.add_eint"(%1144, %816) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1177 = "FHE.add_eint"(%1145, %817) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1178 = "FHE.add_eint"(%1146, %818) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1179 = "FHE.add_eint"(%1147, %819) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1180 = "FHE.add_eint"(%1148, %820) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1181 = "FHE.add_eint"(%1149, %821) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1182 = "FHE.add_eint"(%1150, %822) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1183 = "FHE.add_eint"(%1151, %823) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1184 = "FHE.add_eint"(%1152, %848) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1185 = "FHE.add_eint"(%1153, %849) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1186 = "FHE.add_eint"(%1154, %850) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1187 = "FHE.add_eint"(%1155, %851) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1188 = "FHE.add_eint"(%1156, %852) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1189 = "FHE.add_eint"(%1157, %853) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1190 = "FHE.add_eint"(%1158, %854) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1191 = "FHE.add_eint"(%1159, %855) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1192 = "FHE.add_eint"(%1160, %880) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1193 = "FHE.add_eint"(%1161, %881) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1194 = "FHE.add_eint"(%1162, %882) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1195 = "FHE.add_eint"(%1163, %883) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1196 = "FHE.add_eint"(%1164, %884) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1197 = "FHE.add_eint"(%1165, %885) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1198 = "FHE.add_eint"(%1166, %886) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1199 = "FHE.add_eint"(%1167, %887) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_957 = arith.constant dense<"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"> : tensor<256xi64>
-    %1200 = "FHE.apply_lookup_table"(%1168, %cst_957) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_958 = arith.constant dense<"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"> : tensor<256xi64>
-    %1201 = "FHE.apply_lookup_table"(%1169, %cst_958) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_959 = arith.constant dense<"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"> : tensor<256xi64>
-    %1202 = "FHE.apply_lookup_table"(%1170, %cst_959) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_960 = arith.constant dense<"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"> : tensor<256xi64>
-    %1203 = "FHE.apply_lookup_table"(%1171, %cst_960) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_961 = arith.constant dense<"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"> : tensor<256xi64>
-    %1204 = "FHE.apply_lookup_table"(%1172, %cst_961) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_962 = arith.constant dense<"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"> : tensor<256xi64>
-    %1205 = "FHE.apply_lookup_table"(%1173, %cst_962) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_963 = arith.constant dense<"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"> : tensor<256xi64>
-    %1206 = "FHE.apply_lookup_table"(%1174, %cst_963) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_964 = arith.constant dense<"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"> : tensor<256xi64>
-    %1207 = "FHE.apply_lookup_table"(%1175, %cst_964) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_965 = arith.constant dense<"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"> : tensor<256xi64>
-    %1208 = "FHE.apply_lookup_table"(%1176, %cst_965) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_966 = arith.constant dense<"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"> : tensor<256xi64>
-    %1209 = "FHE.apply_lookup_table"(%1177, %cst_966) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_967 = arith.constant dense<"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"> : tensor<256xi64>
-    %1210 = "FHE.apply_lookup_table"(%1178, %cst_967) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_968 = arith.constant dense<"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"> : tensor<256xi64>
-    %1211 = "FHE.apply_lookup_table"(%1179, %cst_968) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_969 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %1212 = "FHE.apply_lookup_table"(%1180, %cst_969) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_970 = arith.constant dense<"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"> : tensor<256xi64>
-    %1213 = "FHE.apply_lookup_table"(%1181, %cst_970) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_971 = arith.constant dense<"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"> : tensor<256xi64>
-    %1214 = "FHE.apply_lookup_table"(%1182, %cst_971) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_972 = arith.constant dense<"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"> : tensor<256xi64>
-    %1215 = "FHE.apply_lookup_table"(%1183, %cst_972) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_973 = arith.constant dense<"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"> : tensor<256xi64>
-    %1216 = "FHE.apply_lookup_table"(%1184, %cst_973) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_974 = arith.constant dense<"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"> : tensor<256xi64>
-    %1217 = "FHE.apply_lookup_table"(%1185, %cst_974) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_975 = arith.constant dense<"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"> : tensor<256xi64>
-    %1218 = "FHE.apply_lookup_table"(%1186, %cst_975) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_976 = arith.constant dense<"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"> : tensor<256xi64>
-    %1219 = "FHE.apply_lookup_table"(%1187, %cst_976) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_977 = arith.constant dense<"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"> : tensor<256xi64>
-    %1220 = "FHE.apply_lookup_table"(%1188, %cst_977) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_978 = arith.constant dense<"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"> : tensor<256xi64>
-    %1221 = "FHE.apply_lookup_table"(%1189, %cst_978) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_979 = arith.constant dense<"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"> : tensor<256xi64>
-    %1222 = "FHE.apply_lookup_table"(%1190, %cst_979) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_980 = arith.constant dense<"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"> : tensor<256xi64>
-    %1223 = "FHE.apply_lookup_table"(%1191, %cst_980) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_981 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %1224 = "FHE.apply_lookup_table"(%1192, %cst_981) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_982 = arith.constant dense<"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"> : tensor<256xi64>
-    %1225 = "FHE.apply_lookup_table"(%1193, %cst_982) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_983 = arith.constant dense<"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"> : tensor<256xi64>
-    %1226 = "FHE.apply_lookup_table"(%1194, %cst_983) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_984 = arith.constant dense<"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"> : tensor<256xi64>
-    %1227 = "FHE.apply_lookup_table"(%1195, %cst_984) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_985 = arith.constant dense<"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"> : tensor<256xi64>
-    %1228 = "FHE.apply_lookup_table"(%1196, %cst_985) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_986 = arith.constant dense<"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"> : tensor<256xi64>
-    %1229 = "FHE.apply_lookup_table"(%1197, %cst_986) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_987 = arith.constant dense<"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"> : tensor<256xi64>
-    %1230 = "FHE.apply_lookup_table"(%1198, %cst_987) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_988 = arith.constant dense<"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"> : tensor<256xi64>
-    %1231 = "FHE.apply_lookup_table"(%1199, %cst_988) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %1232 = "FHE.mul_eint_int"(%1200, %c16_i9_52) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1233 = "FHE.mul_eint_int"(%1201, %c16_i9_53) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1234 = "FHE.mul_eint_int"(%1202, %c16_i9_58) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1235 = "FHE.mul_eint_int"(%1203, %c16_i9_59) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1236 = "FHE.mul_eint_int"(%1204, %c16_i9_64) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1237 = "FHE.mul_eint_int"(%1205, %c16_i9_65) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1238 = "FHE.mul_eint_int"(%1206, %c16_i9_70) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1239 = "FHE.mul_eint_int"(%1207, %c16_i9_71) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1240 = "FHE.mul_eint_int"(%1208, %c16_i9_46) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1241 = "FHE.mul_eint_int"(%1209, %c16_i9_47) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1242 = "FHE.mul_eint_int"(%1210, %c16_i9_60) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1243 = "FHE.mul_eint_int"(%1211, %c16_i9_61) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1244 = "FHE.mul_eint_int"(%1212, %c16_i9_66) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1245 = "FHE.mul_eint_int"(%1213, %c16_i9_67) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1246 = "FHE.mul_eint_int"(%1214, %c16_i9_72) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1247 = "FHE.mul_eint_int"(%1215, %c16_i9_73) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1248 = "FHE.mul_eint_int"(%1216, %c16_i9_48) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1249 = "FHE.mul_eint_int"(%1217, %c16_i9_49) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1250 = "FHE.mul_eint_int"(%1218, %c16_i9_54) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1251 = "FHE.mul_eint_int"(%1219, %c16_i9_55) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1252 = "FHE.mul_eint_int"(%1220, %c16_i9_68) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1253 = "FHE.mul_eint_int"(%1221, %c16_i9_69) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1254 = "FHE.mul_eint_int"(%1222, %c16_i9_74) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1255 = "FHE.mul_eint_int"(%1223, %c16_i9_75) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1256 = "FHE.mul_eint_int"(%1224, %c16_i9_50) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1257 = "FHE.mul_eint_int"(%1225, %c16_i9_51) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1258 = "FHE.mul_eint_int"(%1226, %c16_i9_56) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1259 = "FHE.mul_eint_int"(%1227, %c16_i9_57) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1260 = "FHE.mul_eint_int"(%1228, %c16_i9_62) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1261 = "FHE.mul_eint_int"(%1229, %c16_i9_63) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1262 = "FHE.mul_eint_int"(%1230, %c16_i9_76) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1263 = "FHE.mul_eint_int"(%1231, %c16_i9_77) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1264 = "FHE.add_eint"(%1232, %19) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1265 = "FHE.add_eint"(%1233, %83) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1266 = "FHE.add_eint"(%1234, %22) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1267 = "FHE.add_eint"(%1235, %86) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1268 = "FHE.add_eint"(%1236, %25) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1269 = "FHE.add_eint"(%1237, %89) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1270 = "FHE.add_eint"(%1238, %28) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1271 = "FHE.add_eint"(%1239, %92) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1272 = "FHE.add_eint"(%1240, %16) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1273 = "FHE.add_eint"(%1241, %80) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1274 = "FHE.add_eint"(%1242, %23) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1275 = "FHE.add_eint"(%1243, %87) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1276 = "FHE.add_eint"(%1244, %26) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1277 = "FHE.add_eint"(%1245, %90) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1278 = "FHE.add_eint"(%1246, %29) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1279 = "FHE.add_eint"(%1247, %93) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1280 = "FHE.add_eint"(%1248, %17) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1281 = "FHE.add_eint"(%1249, %81) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1282 = "FHE.add_eint"(%1250, %20) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1283 = "FHE.add_eint"(%1251, %84) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1284 = "FHE.add_eint"(%1252, %27) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1285 = "FHE.add_eint"(%1253, %91) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1286 = "FHE.add_eint"(%1254, %30) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1287 = "FHE.add_eint"(%1255, %94) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1288 = "FHE.add_eint"(%1256, %18) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1289 = "FHE.add_eint"(%1257, %82) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1290 = "FHE.add_eint"(%1258, %21) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1291 = "FHE.add_eint"(%1259, %85) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1292 = "FHE.add_eint"(%1260, %24) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1293 = "FHE.add_eint"(%1261, %88) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1294 = "FHE.add_eint"(%1262, %31) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1295 = "FHE.add_eint"(%1263, %95) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_989 = arith.constant dense<"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"> : tensor<256xi64>
-    %1296 = "FHE.apply_lookup_table"(%1264, %cst_989) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_990 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %1297 = "FHE.apply_lookup_table"(%1265, %cst_990) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_991 = arith.constant dense<"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"> : tensor<256xi64>
-    %1298 = "FHE.apply_lookup_table"(%1266, %cst_991) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_992 = arith.constant dense<"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"> : tensor<256xi64>
-    %1299 = "FHE.apply_lookup_table"(%1267, %cst_992) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_993 = arith.constant dense<"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"> : tensor<256xi64>
-    %1300 = "FHE.apply_lookup_table"(%1268, %cst_993) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_994 = arith.constant dense<"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"> : tensor<256xi64>
-    %1301 = "FHE.apply_lookup_table"(%1269, %cst_994) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_995 = arith.constant dense<"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"> : tensor<256xi64>
-    %1302 = "FHE.apply_lookup_table"(%1270, %cst_995) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_996 = arith.constant dense<"0x00000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A000000000000000900000000000000080000000000000007000000000000000600000000000000050000000000000004000000000000000300000000000000020000000000000001000000000000000000000000000000"> : tensor<256xi64>
-    %1303 = "FHE.apply_lookup_table"(%1271, %cst_996) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_997 = arith.constant dense<"0x0000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000"> : tensor<256xi64>
-    %1304 = "FHE.apply_lookup_table"(%1272, %cst_997) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_998 = arith.constant dense<"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"> : tensor<256xi64>
-    %1305 = "FHE.apply_lookup_table"(%1273, %cst_998) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_999 = arith.constant dense<"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"> : tensor<256xi64>
-    %1306 = "FHE.apply_lookup_table"(%1274, %cst_999) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1000 = arith.constant dense<"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"> : tensor<256xi64>
-    %1307 = "FHE.apply_lookup_table"(%1275, %cst_1000) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1001 = arith.constant dense<"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"> : tensor<256xi64>
-    %1308 = "FHE.apply_lookup_table"(%1276, %cst_1001) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1002 = arith.constant dense<"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"> : tensor<256xi64>
-    %1309 = "FHE.apply_lookup_table"(%1277, %cst_1002) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1003 = arith.constant dense<"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"> : tensor<256xi64>
-    %1310 = "FHE.apply_lookup_table"(%1278, %cst_1003) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1004 = arith.constant dense<"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"> : tensor<256xi64>
-    %1311 = "FHE.apply_lookup_table"(%1279, %cst_1004) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1005 = arith.constant dense<"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"> : tensor<256xi64>
-    %1312 = "FHE.apply_lookup_table"(%1280, %cst_1005) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1006 = arith.constant dense<"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"> : tensor<256xi64>
-    %1313 = "FHE.apply_lookup_table"(%1281, %cst_1006) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1007 = arith.constant dense<"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"> : tensor<256xi64>
-    %1314 = "FHE.apply_lookup_table"(%1282, %cst_1007) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1008 = arith.constant dense<"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"> : tensor<256xi64>
-    %1315 = "FHE.apply_lookup_table"(%1283, %cst_1008) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1009 = arith.constant dense<"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"> : tensor<256xi64>
-    %1316 = "FHE.apply_lookup_table"(%1284, %cst_1009) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1010 = arith.constant dense<"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"> : tensor<256xi64>
-    %1317 = "FHE.apply_lookup_table"(%1285, %cst_1010) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1011 = arith.constant dense<"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"> : tensor<256xi64>
-    %1318 = "FHE.apply_lookup_table"(%1286, %cst_1011) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1012 = arith.constant dense<"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"> : tensor<256xi64>
-    %1319 = "FHE.apply_lookup_table"(%1287, %cst_1012) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1013 = arith.constant dense<"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"> : tensor<256xi64>
-    %1320 = "FHE.apply_lookup_table"(%1288, %cst_1013) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1014 = arith.constant dense<"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"> : tensor<256xi64>
-    %1321 = "FHE.apply_lookup_table"(%1289, %cst_1014) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1015 = arith.constant dense<"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"> : tensor<256xi64>
-    %1322 = "FHE.apply_lookup_table"(%1290, %cst_1015) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1016 = arith.constant dense<"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"> : tensor<256xi64>
-    %1323 = "FHE.apply_lookup_table"(%1291, %cst_1016) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1017 = arith.constant dense<"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"> : tensor<256xi64>
-    %1324 = "FHE.apply_lookup_table"(%1292, %cst_1017) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1018 = arith.constant dense<"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"> : tensor<256xi64>
-    %1325 = "FHE.apply_lookup_table"(%1293, %cst_1018) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1019 = arith.constant dense<"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"> : tensor<256xi64>
-    %1326 = "FHE.apply_lookup_table"(%1294, %cst_1019) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1020 = arith.constant dense<"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"> : tensor<256xi64>
-    %1327 = "FHE.apply_lookup_table"(%1295, %cst_1020) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %1328 = "FHE.add_eint"(%1296, %1297) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1329 = "FHE.add_eint"(%1298, %1299) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1330 = "FHE.add_eint"(%1300, %1301) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1331 = "FHE.add_eint"(%1302, %1303) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1332 = "FHE.add_eint"(%1304, %1305) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1333 = "FHE.add_eint"(%1306, %1307) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1334 = "FHE.add_eint"(%1308, %1309) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1335 = "FHE.add_eint"(%1310, %1311) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1336 = "FHE.add_eint"(%1312, %1313) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1337 = "FHE.add_eint"(%1314, %1315) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1338 = "FHE.add_eint"(%1316, %1317) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1339 = "FHE.add_eint"(%1318, %1319) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1340 = "FHE.add_eint"(%1320, %1321) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1341 = "FHE.add_eint"(%1322, %1323) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1342 = "FHE.add_eint"(%1324, %1325) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1343 = "FHE.add_eint"(%1326, %1327) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_1021 = arith.constant dense<"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"> : tensor<256xi64>
-    %1344 = "FHE.apply_lookup_table"(%1328, %cst_1021) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1022 = arith.constant dense<"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"> : tensor<256xi64>
-    %1345 = "FHE.apply_lookup_table"(%1328, %cst_1022) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1023 = arith.constant dense<"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"> : tensor<256xi64>
-    %1346 = "FHE.apply_lookup_table"(%1329, %cst_1023) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1024 = arith.constant dense<"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"> : tensor<256xi64>
-    %1347 = "FHE.apply_lookup_table"(%1329, %cst_1024) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1025 = arith.constant dense<"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"> : tensor<256xi64>
-    %1348 = "FHE.apply_lookup_table"(%1330, %cst_1025) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1026 = arith.constant dense<"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"> : tensor<256xi64>
-    %1349 = "FHE.apply_lookup_table"(%1330, %cst_1026) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1027 = arith.constant dense<"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"> : tensor<256xi64>
-    %1350 = "FHE.apply_lookup_table"(%1331, %cst_1027) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1028 = arith.constant dense<"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"> : tensor<256xi64>
-    %1351 = "FHE.apply_lookup_table"(%1331, %cst_1028) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1029 = arith.constant dense<"0x06000000000000000700000000000000070000000000000007000000000000000F00000000000000060000000000000006000000000000000C0000000000000003000000000000000000000000000000060000000000000002000000000000000F000000000000000D000000000000000A0000000000000007000000000000000C0000000000000008000000000000000C0000000000000007000000000000000F00000000000000050000000000000004000000000000000F000000000000000A000000000000000D000000000000000A000000000000000A0000000000000009000000000000000A0000000000000007000000000000000C000000000000000B000000000000000F0000000000000009000000000000000200000000000000030000000000000003000000000000000F000000000000000C0000000000000003000000000000000A000000000000000E000000000000000F0000000000000007000000000000000D000000000000000300000000000000010000000000000000000000000000000C0000000000000002000000000000000C0000000000000001000000000000000900000000000000000000000000000009000000000000000000000000000000010000000000000008000000000000000E000000000000000E0000000000000002000000000000000B00000000000000070000000000000000000000000000000800000000000000020000000000000001000000000000000100000000000000060000000000000005000000000000000A00000000000000050000000000000003000000000000000D000000000000000B0000000000000002000000000000000E000000000000000200000000000000080000000000000005000000000000000D0000000000000000000000000000000E0000000000000002000000000000000F000000000000000B00000000000000050000000000000006000000000000000C000000000000000B0000000000000003000000000000000400000000000000040000000000000005000000000000000C000000000000000D000000000000000E000000000000000A000000000000000F00000000000000040000000000000004000000000000000300000000000000080000000000000004000000000000000F00000000000000000000000000000007000000000000000500000000000000030000000000000009000000000000000A0000000000000005000000000000000A00000000000000040000000000000008000000000000000900000000000000090000000000000003000000000000000F000000000000000B000000000000000B000000000000000D00000000000000020000000000000001000000000000000F000000000000000F000000000000000D000000000000000C00000000000000000000000000000001000000000000000E0000000000000005000000000000000900000000000000040000000000000001000000000000000C000000000000000A000000000000000700000000000000030000000000000006000000000000000500000000000000010000000000000007000000000000000600000000000000080000000000000004000000000000000D00000000000000020000000000000002000000000000000900000000000000080000000000000004000000000000000E000000000000000B0000000000000001000000000000000D00000000000000050000000000000000000000000000000D000000000000000E0000000000000003000000000000000300000000000000000000000000000004000000000000000000000000000000020000000000000005000000000000000C000000000000000D000000000000000A000000000000000600000000000000090000000000000009000000000000000E0000000000000007000000000000000E000000000000000C000000000000000300000000000000060000000000000008000000000000000D0000000000000004000000000000000A00000000000000060000000000000005000000000000000F000000000000000E00000000000000060000000000000007000000000000000A0000000000000000000000000000000B0000000000000007000000000000000200000000000000020000000000000001000000000000000A000000000000000B000000000000000C000000000000000E000000000000000D000000000000000700000000000000010000000000000004000000000000000B0000000000000008000000000000000800000000000000070000000000000003000000000000000B000000000000000600000000000000040000000000000000000000000000000F0000000000000000000000000000000600000000000000030000000000000005000000000000000B0000000000000008000000000000000C00000000000000010000000000000009000000000000000E000000000000000F000000000000000900000000000000010000000000000006000000000000000D00000000000000080000000000000009000000000000000900000000000000010000000000000008000000000000000E000000000000000C00000000000000050000000000000002000000000000000D0000000000000008000000000000000A00000000000000080000000000000000000000000000000B000000000000000E000000000000000400000000000000060000000000000004000000000000000900000000000000020000000000000000000000000000000B0000000000000005000000000000000B000000000000000100000000000000"> : tensor<256xi64>
-    %1352 = "FHE.apply_lookup_table"(%1332, %cst_1029) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1030 = arith.constant dense<"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"> : tensor<256xi64>
-    %1353 = "FHE.apply_lookup_table"(%1332, %cst_1030) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1031 = arith.constant dense<"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"> : tensor<256xi64>
-    %1354 = "FHE.apply_lookup_table"(%1333, %cst_1031) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1032 = arith.constant dense<"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"> : tensor<256xi64>
-    %1355 = "FHE.apply_lookup_table"(%1333, %cst_1032) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1033 = arith.constant dense<"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"> : tensor<256xi64>
-    %1356 = "FHE.apply_lookup_table"(%1334, %cst_1033) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1034 = arith.constant dense<"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"> : tensor<256xi64>
-    %1357 = "FHE.apply_lookup_table"(%1334, %cst_1034) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1035 = arith.constant dense<"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"> : tensor<256xi64>
-    %1358 = "FHE.apply_lookup_table"(%1335, %cst_1035) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1036 = arith.constant dense<"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"> : tensor<256xi64>
-    %1359 = "FHE.apply_lookup_table"(%1335, %cst_1036) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1037 = arith.constant dense<"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"> : tensor<256xi64>
-    %1360 = "FHE.apply_lookup_table"(%1336, %cst_1037) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1038 = arith.constant dense<"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"> : tensor<256xi64>
-    %1361 = "FHE.apply_lookup_table"(%1336, %cst_1038) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1039 = arith.constant dense<"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"> : tensor<256xi64>
-    %1362 = "FHE.apply_lookup_table"(%1337, %cst_1039) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1040 = arith.constant dense<"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"> : tensor<256xi64>
-    %1363 = "FHE.apply_lookup_table"(%1337, %cst_1040) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1041 = arith.constant dense<"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"> : tensor<256xi64>
-    %1364 = "FHE.apply_lookup_table"(%1338, %cst_1041) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1042 = arith.constant dense<"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"> : tensor<256xi64>
-    %1365 = "FHE.apply_lookup_table"(%1338, %cst_1042) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1043 = arith.constant dense<"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"> : tensor<256xi64>
-    %1366 = "FHE.apply_lookup_table"(%1339, %cst_1043) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1044 = arith.constant dense<"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"> : tensor<256xi64>
-    %1367 = "FHE.apply_lookup_table"(%1339, %cst_1044) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1045 = arith.constant dense<"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"> : tensor<256xi64>
-    %1368 = "FHE.apply_lookup_table"(%1340, %cst_1045) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1046 = arith.constant dense<"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"> : tensor<256xi64>
-    %1369 = "FHE.apply_lookup_table"(%1340, %cst_1046) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1047 = arith.constant dense<"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"> : tensor<256xi64>
-    %1370 = "FHE.apply_lookup_table"(%1341, %cst_1047) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1048 = arith.constant dense<"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"> : tensor<256xi64>
-    %1371 = "FHE.apply_lookup_table"(%1341, %cst_1048) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1049 = arith.constant dense<"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"> : tensor<256xi64>
-    %1372 = "FHE.apply_lookup_table"(%1342, %cst_1049) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1050 = arith.constant dense<"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"> : tensor<256xi64>
-    %1373 = "FHE.apply_lookup_table"(%1342, %cst_1050) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1051 = arith.constant dense<"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"> : tensor<256xi64>
-    %1374 = "FHE.apply_lookup_table"(%1343, %cst_1051) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1052 = arith.constant dense<"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"> : tensor<256xi64>
-    %1375 = "FHE.apply_lookup_table"(%1343, %cst_1052) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %1376 = "FHE.mul_eint_int"(%1344, %c16_i9_20) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1377 = "FHE.mul_eint_int"(%1345, %c16_i9_21) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1378 = "FHE.mul_eint_int"(%1346, %c16_i9_26) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1379 = "FHE.mul_eint_int"(%1347, %c16_i9_27) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1380 = "FHE.mul_eint_int"(%1348, %c16_i9_32) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1381 = "FHE.mul_eint_int"(%1349, %c16_i9_33) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1382 = "FHE.mul_eint_int"(%1350, %c16_i9_38) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1383 = "FHE.mul_eint_int"(%1351, %c16_i9_39) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1384 = "FHE.mul_eint_int"(%1352, %c16_i9) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1385 = "FHE.mul_eint_int"(%1353, %c16_i9_15) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1386 = "FHE.mul_eint_int"(%1354, %c16_i9_28) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1387 = "FHE.mul_eint_int"(%1355, %c16_i9_29) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1388 = "FHE.mul_eint_int"(%1356, %c16_i9_34) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1389 = "FHE.mul_eint_int"(%1357, %c16_i9_35) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1390 = "FHE.mul_eint_int"(%1358, %c16_i9_40) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1391 = "FHE.mul_eint_int"(%1359, %c16_i9_41) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1392 = "FHE.mul_eint_int"(%1360, %c16_i9_16) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1393 = "FHE.mul_eint_int"(%1361, %c16_i9_17) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1394 = "FHE.mul_eint_int"(%1362, %c16_i9_22) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1395 = "FHE.mul_eint_int"(%1363, %c16_i9_23) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1396 = "FHE.mul_eint_int"(%1364, %c16_i9_36) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1397 = "FHE.mul_eint_int"(%1365, %c16_i9_37) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1398 = "FHE.mul_eint_int"(%1366, %c16_i9_42) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1399 = "FHE.mul_eint_int"(%1367, %c16_i9_43) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1400 = "FHE.mul_eint_int"(%1368, %c16_i9_18) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1401 = "FHE.mul_eint_int"(%1369, %c16_i9_19) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1402 = "FHE.mul_eint_int"(%1370, %c16_i9_24) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1403 = "FHE.mul_eint_int"(%1371, %c16_i9_25) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1404 = "FHE.mul_eint_int"(%1372, %c16_i9_30) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1405 = "FHE.mul_eint_int"(%1373, %c16_i9_31) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1406 = "FHE.mul_eint_int"(%1374, %c16_i9_44) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1407 = "FHE.mul_eint_int"(%1375, %c16_i9_45) : (!FHE.eint<8>, i9) -> !FHE.eint<8>
-    %1408 = "FHE.add_eint"(%1376, %3) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1409 = "FHE.add_eint"(%1377, %67) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1410 = "FHE.add_eint"(%1378, %6) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1411 = "FHE.add_eint"(%1379, %70) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1412 = "FHE.add_eint"(%1380, %9) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1413 = "FHE.add_eint"(%1381, %73) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1414 = "FHE.add_eint"(%1382, %12) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1415 = "FHE.add_eint"(%1383, %76) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1416 = "FHE.add_eint"(%1384, %0) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1417 = "FHE.add_eint"(%1385, %64) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1418 = "FHE.add_eint"(%1386, %7) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1419 = "FHE.add_eint"(%1387, %71) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1420 = "FHE.add_eint"(%1388, %10) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1421 = "FHE.add_eint"(%1389, %74) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1422 = "FHE.add_eint"(%1390, %13) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1423 = "FHE.add_eint"(%1391, %77) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1424 = "FHE.add_eint"(%1392, %1) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1425 = "FHE.add_eint"(%1393, %65) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1426 = "FHE.add_eint"(%1394, %4) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1427 = "FHE.add_eint"(%1395, %68) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1428 = "FHE.add_eint"(%1396, %11) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1429 = "FHE.add_eint"(%1397, %75) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1430 = "FHE.add_eint"(%1398, %14) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1431 = "FHE.add_eint"(%1399, %78) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1432 = "FHE.add_eint"(%1400, %2) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1433 = "FHE.add_eint"(%1401, %66) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1434 = "FHE.add_eint"(%1402, %5) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1435 = "FHE.add_eint"(%1403, %69) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1436 = "FHE.add_eint"(%1404, %8) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1437 = "FHE.add_eint"(%1405, %72) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1438 = "FHE.add_eint"(%1406, %15) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1439 = "FHE.add_eint"(%1407, %79) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %cst_1053 = arith.constant dense<"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"> : tensor<256xi64>
-    %1440 = "FHE.apply_lookup_table"(%1408, %cst_1053) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1054 = arith.constant dense<"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"> : tensor<256xi64>
-    %1441 = "FHE.apply_lookup_table"(%1409, %cst_1054) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1055 = arith.constant dense<"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"> : tensor<256xi64>
-    %1442 = "FHE.apply_lookup_table"(%1410, %cst_1055) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1056 = arith.constant dense<"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"> : tensor<256xi64>
-    %1443 = "FHE.apply_lookup_table"(%1411, %cst_1056) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1057 = arith.constant dense<"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"> : tensor<256xi64>
-    %1444 = "FHE.apply_lookup_table"(%1412, %cst_1057) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1058 = arith.constant dense<"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"> : tensor<256xi64>
-    %1445 = "FHE.apply_lookup_table"(%1413, %cst_1058) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1059 = arith.constant dense<"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"> : tensor<256xi64>
-    %1446 = "FHE.apply_lookup_table"(%1414, %cst_1059) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1060 = arith.constant dense<"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"> : tensor<256xi64>
-    %1447 = "FHE.apply_lookup_table"(%1415, %cst_1060) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1061 = arith.constant dense<"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"> : tensor<256xi64>
-    %1448 = "FHE.apply_lookup_table"(%1416, %cst_1061) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1062 = arith.constant dense<"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"> : tensor<256xi64>
-    %1449 = "FHE.apply_lookup_table"(%1417, %cst_1062) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1063 = arith.constant dense<"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"> : tensor<256xi64>
-    %1450 = "FHE.apply_lookup_table"(%1418, %cst_1063) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1064 = arith.constant dense<"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"> : tensor<256xi64>
-    %1451 = "FHE.apply_lookup_table"(%1419, %cst_1064) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1065 = arith.constant dense<"0x0000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000"> : tensor<256xi64>
-    %1452 = "FHE.apply_lookup_table"(%1420, %cst_1065) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1066 = arith.constant dense<"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"> : tensor<256xi64>
-    %1453 = "FHE.apply_lookup_table"(%1421, %cst_1066) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1067 = arith.constant dense<"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"> : tensor<256xi64>
-    %1454 = "FHE.apply_lookup_table"(%1422, %cst_1067) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1068 = arith.constant dense<"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"> : tensor<256xi64>
-    %1455 = "FHE.apply_lookup_table"(%1423, %cst_1068) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1069 = arith.constant dense<"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"> : tensor<256xi64>
-    %1456 = "FHE.apply_lookup_table"(%1424, %cst_1069) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1070 = arith.constant dense<"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"> : tensor<256xi64>
-    %1457 = "FHE.apply_lookup_table"(%1425, %cst_1070) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1071 = arith.constant dense<"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"> : tensor<256xi64>
-    %1458 = "FHE.apply_lookup_table"(%1426, %cst_1071) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1072 = arith.constant dense<"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"> : tensor<256xi64>
-    %1459 = "FHE.apply_lookup_table"(%1427, %cst_1072) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1073 = arith.constant dense<"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"> : tensor<256xi64>
-    %1460 = "FHE.apply_lookup_table"(%1428, %cst_1073) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1074 = arith.constant dense<"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"> : tensor<256xi64>
-    %1461 = "FHE.apply_lookup_table"(%1429, %cst_1074) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1075 = arith.constant dense<"0x0000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000"> : tensor<256xi64>
-    %1462 = "FHE.apply_lookup_table"(%1430, %cst_1075) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1076 = arith.constant dense<"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"> : tensor<256xi64>
-    %1463 = "FHE.apply_lookup_table"(%1431, %cst_1076) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1077 = arith.constant dense<"0x0000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000001000000000000000000000000000000030000000000000002000000000000000500000000000000040000000000000007000000000000000600000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000080000000000000009000000000000000A000000000000000B000000000000000C000000000000000D000000000000000E000000000000000F0000000000000000000000000000000100000000000000020000000000000003000000000000000400000000000000050000000000000006000000000000000700000000000000090000000000000008000000000000000B000000000000000A000000000000000D000000000000000C000000000000000F000000000000000E00000000000000010000000000000000000000000000000300000000000000020000000000000005000000000000000400000000000000070000000000000006000000000000000A000000000000000B00000000000000080000000000000009000000000000000E000000000000000F000000000000000C000000000000000D00000000000000020000000000000003000000000000000000000000000000010000000000000006000000000000000700000000000000040000000000000005000000000000000B000000000000000A00000000000000090000000000000008000000000000000F000000000000000E000000000000000D000000000000000C00000000000000030000000000000002000000000000000100000000000000000000000000000007000000000000000600000000000000050000000000000004000000000000000C000000000000000D000000000000000E000000000000000F00000000000000080000000000000009000000000000000A000000000000000B00000000000000040000000000000005000000000000000600000000000000070000000000000000000000000000000100000000000000020000000000000003000000000000000D000000000000000C000000000000000F000000000000000E00000000000000090000000000000008000000000000000B000000000000000A00000000000000050000000000000004000000000000000700000000000000060000000000000001000000000000000000000000000000030000000000000002000000000000000E000000000000000F000000000000000C000000000000000D000000000000000A000000000000000B0000000000000008000000000000000900000000000000060000000000000007000000000000000400000000000000050000000000000002000000000000000300000000000000000000000000000001000000000000000F000000000000000E000000000000000D000000000000000C000000000000000B000000000000000A0000000000000009000000000000000800000000000000070000000000000006000000000000000500000000000000040000000000000003000000000000000200000000000000010000000000000000000000000000000"> : tensor<256xi64>
-    %1464 = "FHE.apply_lookup_table"(%1432, %cst_1077) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1078 = arith.constant dense<"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"> : tensor<256xi64>
-    %1465 = "FHE.apply_lookup_table"(%1433, %cst_1078) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1079 = arith.constant dense<"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"> : tensor<256xi64>
-    %1466 = "FHE.apply_lookup_table"(%1434, %cst_1079) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1080 = arith.constant dense<"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"> : tensor<256xi64>
-    %1467 = "FHE.apply_lookup_table"(%1435, %cst_1080) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1081 = arith.constant dense<"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"> : tensor<256xi64>
-    %1468 = "FHE.apply_lookup_table"(%1436, %cst_1081) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1082 = arith.constant dense<"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"> : tensor<256xi64>
-    %1469 = "FHE.apply_lookup_table"(%1437, %cst_1082) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1083 = arith.constant dense<"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"> : tensor<256xi64>
-    %1470 = "FHE.apply_lookup_table"(%1438, %cst_1083) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %cst_1084 = arith.constant dense<"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"> : tensor<256xi64>
-    %1471 = "FHE.apply_lookup_table"(%1439, %cst_1084) : (!FHE.eint<8>, tensor<256xi64>) -> !FHE.eint<8>
-    %1472 = "FHE.add_eint"(%1440, %1441) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1473 = "FHE.add_eint"(%1442, %1443) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1474 = "FHE.add_eint"(%1444, %1445) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1475 = "FHE.add_eint"(%1446, %1447) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1476 = "FHE.add_eint"(%1448, %1449) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1477 = "FHE.add_eint"(%1450, %1451) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1478 = "FHE.add_eint"(%1452, %1453) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1479 = "FHE.add_eint"(%1454, %1455) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1480 = "FHE.add_eint"(%1456, %1457) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1481 = "FHE.add_eint"(%1458, %1459) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1482 = "FHE.add_eint"(%1460, %1461) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1483 = "FHE.add_eint"(%1462, %1463) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1484 = "FHE.add_eint"(%1464, %1465) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1485 = "FHE.add_eint"(%1466, %1467) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1486 = "FHE.add_eint"(%1468, %1469) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %1487 = "FHE.add_eint"(%1470, %1471) : (!FHE.eint<8>, !FHE.eint<8>) -> !FHE.eint<8>
-    %hack_1488_1472 = tensor.from_elements %1472 : tensor<1x!FHE.eint<8>>
-    %1488 = "FHELinalg.add_eint_int"(%hack_1488_1472, %cst_2) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1489_1473 = tensor.from_elements %1473 : tensor<1x!FHE.eint<8>>
-    %1489 = "FHELinalg.add_eint_int"(%hack_1489_1473, %cst_5) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1490_1474 = tensor.from_elements %1474 : tensor<1x!FHE.eint<8>>
-    %1490 = "FHELinalg.add_eint_int"(%hack_1490_1474, %cst_8) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1491_1475 = tensor.from_elements %1475 : tensor<1x!FHE.eint<8>>
-    %1491 = "FHELinalg.add_eint_int"(%hack_1491_1475, %cst_11) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1492_1476 = tensor.from_elements %1476 : tensor<1x!FHE.eint<8>>
-    %1492 = "FHELinalg.add_eint_int"(%hack_1492_1476, %cst) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1493_1477 = tensor.from_elements %1477 : tensor<1x!FHE.eint<8>>
-    %1493 = "FHELinalg.add_eint_int"(%hack_1493_1477, %cst_6) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1494_1478 = tensor.from_elements %1478 : tensor<1x!FHE.eint<8>>
-    %1494 = "FHELinalg.add_eint_int"(%hack_1494_1478, %cst_9) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1495_1479 = tensor.from_elements %1479 : tensor<1x!FHE.eint<8>>
-    %1495 = "FHELinalg.add_eint_int"(%hack_1495_1479, %cst_12) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1496_1480 = tensor.from_elements %1480 : tensor<1x!FHE.eint<8>>
-    %1496 = "FHELinalg.add_eint_int"(%hack_1496_1480, %cst_0) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1497_1481 = tensor.from_elements %1481 : tensor<1x!FHE.eint<8>>
-    %1497 = "FHELinalg.add_eint_int"(%hack_1497_1481, %cst_3) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1498_1482 = tensor.from_elements %1482 : tensor<1x!FHE.eint<8>>
-    %1498 = "FHELinalg.add_eint_int"(%hack_1498_1482, %cst_10) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1499_1483 = tensor.from_elements %1483 : tensor<1x!FHE.eint<8>>
-    %1499 = "FHELinalg.add_eint_int"(%hack_1499_1483, %cst_13) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1500_1484 = tensor.from_elements %1484 : tensor<1x!FHE.eint<8>>
-    %1500 = "FHELinalg.add_eint_int"(%hack_1500_1484, %cst_1) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1501_1485 = tensor.from_elements %1485 : tensor<1x!FHE.eint<8>>
-    %1501 = "FHELinalg.add_eint_int"(%hack_1501_1485, %cst_4) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1502_1486 = tensor.from_elements %1486 : tensor<1x!FHE.eint<8>>
-    %1502 = "FHELinalg.add_eint_int"(%hack_1502_1486, %cst_7) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %hack_1503_1487 = tensor.from_elements %1487 : tensor<1x!FHE.eint<8>>
-    %1503 = "FHELinalg.add_eint_int"(%hack_1503_1487, %cst_14) : (tensor<1x!FHE.eint<8>>, tensor<1xi9>) -> tensor<1x!FHE.eint<8>>
-    %1504 = "FHELinalg.concat"(%1492, %1496, %1500, %1488, %1497, %1501, %1489, %1493, %1502, %1490, %1494, %1498, %1491, %1495, %1499, %1503) {axis = 0 : i64} : (tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>, tensor<1x!FHE.eint<8>>) -> tensor<16x!FHE.eint<8>>
-    return %1504 : tensor<16x!FHE.eint<8>>
-  }
-}
-)XXX",
-             "main", false, true, false);
-
-  std::vector<uint64_t> input0 = {
-      2,  7,  1,  1,  2,  10, 13, 10, 10, 15, 1,  8,  0,  12, 4,  3,  10, 15,
-      15, 1,  8,  5,  2,  11, 2,  10, 3,  3,  2,  6,  7,  0,  15, 12, 9,  15,
-      7,  9,  11, 4,  5,  3,  8,  7,  7,  5,  15, 7,  3,  8,  4,  7,  4,  1,
-      15, 3,  1,  2,  7,  4,  6,  7,  8,  3,  14, 4,  10, 4,  10, 5,  5,  7,
-      11, 7,  2,  3,  13, 0,  10, 0,  13, 13, 12, 15, 7,  8,  9,  8,  12, 15,
-      11, 11, 1,  15, 1,  11, 6,  8,  10, 7,  1,  0,  3,  15, 13, 15, 8,  4,
-      12, 0,  9,  15, 4,  5,  15, 0,  5,  5,  12, 15, 8,  10, 4,  11, 4,  10,
-      13, 4,  14, 13, 7,  2,  11, 8,  11, 13, 3,  2,  15, 6,  7,  8,  2,  2,
-      10, 7,  6,  15, 1,  15, 13, 2,  2,  13, 2,  4,  5,  5,  0,  6,  13, 1,
-      15, 10, 12, 14, 2,  8,  14, 3,  0,  12, 11, 6,  0,  10};
-
-  std::vector<uint64_t> input1 = {
-      11, 14, 5,  6,  8,  14, 2,  6,  11, 7,  5,  8,  9,  15, 15, 12, 0,  10,
-      14, 7,  8,  4,  12, 1,  3,  3,  9,  9,  10, 12, 6,  5,  2,  2,  5,  2,
-      10, 6,  9,  3,  9,  5,  0,  10, 3,  9,  6,  15, 13, 0,  7,  13, 7,  6,
-      14, 14, 14, 3,  14, 4,  13, 10, 8,  11, 15, 4,  5,  1,  8,  2,  11, 15,
-      6,  1,  5,  11, 11, 11, 13, 0,  4,  1,  6,  8,  12, 3,  13, 7,  10, 2,
-      8,  12, 1,  9,  5,  12, 13, 8,  3,  10, 1,  11, 14, 13, 11, 9,  6,  1,
-      10, 0,  3,  13, 14, 4,  7,  14, 15, 15, 9,  3,  4,  6,  15, 2,  14, 6,
-      12, 15, 10, 2,  3,  1,  5,  13, 10, 2,  1,  11, 5,  0,  15, 13, 9,  15,
-      12, 7,  6,  3,  9,  10, 12, 1,  8,  1,  9,  1,  7,  12, 0,  14, 0,  4,
-      9,  8,  9,  14, 5,  9,  1,  15, 12, 8,  6,  3,  12, 6};
-
-  std::vector<uint64_t> input2 = {107, 193, 190, 226, 46,  64,  159, 150,
-                                  233, 61,  126, 17,  115, 147, 23,  42};
-
-  std::vector<uint64_t> expected_output = {132, 234, 152, 233, 122, 94,
-                                           207, 48,  137, 236, 28,  103,
-                                           96,  110, 104, 184};
-
-  auto arg0 = Tensor<uint64_t>(input0, {input0.size()});
-  auto arg1 = Tensor<uint64_t>(input1, {input1.size()});
-  auto arg2 = Tensor<uint64_t>(input2, {input2.size()});
-
-  if (mlir::concretelang::dfr::_dfr_is_root_node()) {
-    auto maybeResult = lambda.call({arg0, arg1, arg2});
-    ASSERT_OUTCOME_HAS_VALUE(maybeResult);
-    auto result = maybeResult.value()[0].template getTensor<uint64_t>().value();
-    // distributed_results = *res;
-    ASSERT_EQ(result.values.size(), expected_output.size());
-    for (size_t i = 0; i < expected_output.size(); i++)
-      EXPECT_EQ(expected_output[i], result.values[i])
-          << "result differ at pos " << i;
-  } else
-    ASSERT_OUTCOME_HAS_FAILURE(lambda.call({}));
-}
diff --git a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_auto_parallelization.cc b/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_auto_parallelization.cc
deleted file mode 100644
index d1391cc2f..000000000
--- a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_auto_parallelization.cc
+++ /dev/null
@@ -1,167 +0,0 @@
-
-#include <concretelang/Runtime/DFRuntime.hpp>
-#include <cstdint>
-#include <gtest/gtest.h>
-#include <tuple>
-#include <type_traits>
-
-#include "concretelang/TestLib/TestProgram.h"
-#include "end_to_end_jit_test.h"
-#include "tests_tools/GtestEnvironment.h"
-///////////////////////////////////////////////////////////////////////////////
-// Auto-parallelize independent FHE ops /////////////////////////////////////
-///////////////////////////////////////////////////////////////////////////////
-
-TEST(ParallelizeAndRunFHE, add_eint_tree) {
-  checkedJit(testCircuit, R"XXX(
-func.func @main(%arg0: !FHE.eint<7>, %arg1: !FHE.eint<7>, %arg2: !FHE.eint<7>, %arg3: !FHE.eint<7>) -> !FHE.eint<7> {
-  %1 = "FHE.add_eint"(%arg0, %arg1): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %2 = "FHE.add_eint"(%arg0, %arg2): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %3 = "FHE.add_eint"(%arg0, %arg3): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %4 = "FHE.add_eint"(%arg1, %arg2): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %5 = "FHE.add_eint"(%arg1, %arg3): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %6 = "FHE.add_eint"(%arg2, %arg3): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-
-  %7 = "FHE.add_eint"(%1, %2): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %8 = "FHE.add_eint"(%1, %3): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %9 = "FHE.add_eint"(%1, %4): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %10 = "FHE.add_eint"(%1, %5): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %11 = "FHE.add_eint"(%1, %6): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %12 = "FHE.add_eint"(%2, %3): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %13 = "FHE.add_eint"(%2, %4): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %14 = "FHE.add_eint"(%2, %5): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %15 = "FHE.add_eint"(%2, %6): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %16 = "FHE.add_eint"(%3, %4): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %17 = "FHE.add_eint"(%3, %5): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %18 = "FHE.add_eint"(%3, %6): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %19 = "FHE.add_eint"(%4, %5): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %20 = "FHE.add_eint"(%4, %6): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %21 = "FHE.add_eint"(%5, %6): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-
-  %22 = "FHE.add_eint"(%7, %8): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %23 = "FHE.add_eint"(%9, %10): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %24 = "FHE.add_eint"(%11, %12): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %25 = "FHE.add_eint"(%13, %14): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %26 = "FHE.add_eint"(%15, %16): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %27 = "FHE.add_eint"(%17, %18): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %28 = "FHE.add_eint"(%19, %20): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-
-  %29 = "FHE.add_eint"(%22, %23): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %30 = "FHE.add_eint"(%24, %25): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %31 = "FHE.add_eint"(%26, %27): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %32 = "FHE.add_eint"(%21, %28): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-
-  %33 = "FHE.add_eint"(%29, %30): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  %34 = "FHE.add_eint"(%31, %32): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-
-  %35 = "FHE.add_eint"(%33, %34): (!FHE.eint<7>, !FHE.eint<7>) -> (!FHE.eint<7>)
-  return %35: !FHE.eint<7>
-}
-)XXX",
-             "main", false, true, false, false, 1e-40);
-
-  auto lambda = [&](std::vector<concretelang::values::Value> args) {
-    return testCircuit.call(args)
-        .value()[0]
-        .template getTensor<uint64_t>()
-        .value()[0];
-  };
-
-  if (mlir::concretelang::dfr::_dfr_is_root_node()) {
-    ASSERT_EQ(lambda({Tensor<uint64_t>(1), Tensor<uint64_t>(2),
-                      Tensor<uint64_t>(3), Tensor<uint64_t>(4)}),
-              (uint64_t)150);
-    ASSERT_EQ(lambda({Tensor<uint64_t>(4), Tensor<uint64_t>(5),
-                      Tensor<uint64_t>(6), Tensor<uint64_t>(7)}),
-              (uint64_t)74);
-    ASSERT_EQ(lambda({Tensor<uint64_t>(1), Tensor<uint64_t>(1),
-                      Tensor<uint64_t>(1), Tensor<uint64_t>(1)}),
-              (uint64_t)60);
-    ASSERT_EQ(lambda({Tensor<uint64_t>(5), Tensor<uint64_t>(7),
-                      Tensor<uint64_t>(11), Tensor<uint64_t>(13)}),
-              (uint64_t)28);
-  } else {
-    ASSERT_OUTCOME_HAS_FAILURE(testCircuit.call({}));
-    ASSERT_OUTCOME_HAS_FAILURE(testCircuit.call({}));
-    ASSERT_OUTCOME_HAS_FAILURE(testCircuit.call({}));
-    ASSERT_OUTCOME_HAS_FAILURE(testCircuit.call({}));
-  }
-}
-
-std::vector<uint64_t> parallel_results;
-
-TEST(ParallelizeAndRunFHE, nn_small_parallel) {
-  checkedJit(lambda, R"XXX(
-  func.func @main(%arg0: tensor<4x5x!FHE.eint<5>>) -> tensor<4x7x!FHE.eint<5>> {
-    %cst = arith.constant dense<[[0, 0, 1, 0, 1, 1, 0], [1, 1, 1, 0, 1, 0, 0], [1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1, 1]]> : tensor<4x7xi6>
-    %cst_0 = arith.constant dense<[[1, 0, 1, 1, 0, 1, 1], [0, 1, 0, 0, 0, 0, 1], [0, 1, 1, 1, 1, 0, 0], [0, 1, 1, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 1]]> : tensor<5x7xi6>
-    %0 = "FHELinalg.matmul_eint_int"(%arg0, %cst_0) : (tensor<4x5x!FHE.eint<5>>, tensor<5x7xi6>) -> tensor<4x7x!FHE.eint<5>>
-    %1 = "FHELinalg.add_eint_int"(%0, %cst) : (tensor<4x7x!FHE.eint<5>>, tensor<4x7xi6>) -> tensor<4x7x!FHE.eint<5>>
-    %cst_1 = arith.constant dense<[0, 3, 7, 10, 14, 17, 21, 24, 28, 31, 35, 38, 42, 45, 49, 52, 56, 59, 63, 66, 70, 73, 77, 80, 84, 87, 91, 94, 98, 101, 105, 108]> : tensor<32xi64>
-    %2 = "FHELinalg.apply_lookup_table"(%1, %cst_1) : (tensor<4x7x!FHE.eint<5>>, tensor<32xi64>) -> tensor<4x7x!FHE.eint<5>>
-    return %2 : tensor<4x7x!FHE.eint<5>>
-  }
-)XXX",
-             "main", false, true, true);
-
-  const size_t dim0 = 4;
-  const size_t dim1 = 5;
-  const size_t dim2 = 7;
-  const std::vector<size_t> inputShape({dim0, dim1});
-  const std::vector<size_t> outputShape({dim0, dim2});
-  std::vector<uint64_t> values;
-  values.reserve(dim0 * dim1);
-  for (size_t i = 0; i < dim0 * dim1; ++i) {
-    values.push_back(i % 17 % 4);
-  }
-  auto input = Tensor<uint64_t>(values, inputShape);
-
-  if (mlir::concretelang::dfr::_dfr_is_root_node()) {
-    auto maybeResult = lambda.call({input});
-    ASSERT_OUTCOME_HAS_VALUE(maybeResult);
-    auto result = maybeResult.value()[0].template getTensor<uint64_t>().value();
-    ASSERT_EQ(result.dimensions, outputShape);
-    parallel_results = result.values;
-  } else {
-    ASSERT_OUTCOME_HAS_FAILURE(lambda.call({}));
-  }
-}
-
-TEST(ParallelizeAndRunFHE, nn_small_sequential) {
-  if (mlir::concretelang::dfr::_dfr_is_root_node()) {
-    checkedJit(lambda, R"XXX(
-  func.func @main(%arg0: tensor<4x5x!FHE.eint<5>>) -> tensor<4x7x!FHE.eint<5>> {
-    %cst = arith.constant dense<[[0, 0, 1, 0, 1, 1, 0], [1, 1, 1, 0, 1, 0, 0], [1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1, 1]]> : tensor<4x7xi6>
-    %cst_0 = arith.constant dense<[[1, 0, 1, 1, 0, 1, 1], [0, 1, 0, 0, 0, 0, 1], [0, 1, 1, 1, 1, 0, 0], [0, 1, 1, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 1]]> : tensor<5x7xi6>
-    %0 = "FHELinalg.matmul_eint_int"(%arg0, %cst_0) : (tensor<4x5x!FHE.eint<5>>, tensor<5x7xi6>) -> tensor<4x7x!FHE.eint<5>>
-    %1 = "FHELinalg.add_eint_int"(%0, %cst) : (tensor<4x7x!FHE.eint<5>>, tensor<4x7xi6>) -> tensor<4x7x!FHE.eint<5>>
-    %cst_1 = arith.constant dense<[0, 3, 7, 10, 14, 17, 21, 24, 28, 31, 35, 38, 42, 45, 49, 52, 56, 59, 63, 66, 70, 73, 77, 80, 84, 87, 91, 94, 98, 101, 105, 108]> : tensor<32xi64>
-    %2 = "FHELinalg.apply_lookup_table"(%1, %cst_1) : (tensor<4x7x!FHE.eint<5>>, tensor<32xi64>) -> tensor<4x7x!FHE.eint<5>>
-    return %2 : tensor<4x7x!FHE.eint<5>>
-  }
-)XXX",
-               "main", false, false, false);
-
-    const size_t dim0 = 4;
-    const size_t dim1 = 5;
-    const size_t dim2 = 7;
-    const std::vector<size_t> inputShape({dim0, dim1});
-    const std::vector<size_t> outputShape({dim0, dim2});
-    std::vector<uint64_t> values;
-    values.reserve(dim0 * dim1);
-    for (size_t i = 0; i < dim0 * dim1; ++i) {
-      values.push_back(i % 17 % 4);
-    }
-    auto input = Tensor<uint64_t>(values, inputShape);
-
-    if (mlir::concretelang::dfr::_dfr_is_root_node()) {
-      auto maybeResult = lambda.call({input});
-      ASSERT_OUTCOME_HAS_VALUE(maybeResult);
-      auto result =
-          maybeResult.value()[0].template getTensor<uint64_t>().value();
-      for (size_t i = 0; i < dim0 * dim2; i++)
-        EXPECT_EQ(parallel_results[i], result.values[i])
-            << "result differ at pos " << i;
-    }
-  }
-}
diff --git a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_distributed.cc b/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_distributed.cc
deleted file mode 100644
index 57f569d43..000000000
--- a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_distributed.cc
+++ /dev/null
@@ -1,148 +0,0 @@
-#include <concretelang/Runtime/DFRuntime.hpp>
-#include <cstdint>
-#include <gtest/gtest.h>
-#include <tuple>
-#include <type_traits>
-
-#include "concretelang/TestLib/TestProgram.h"
-#include "end_to_end_jit_test.h"
-#include "tests_tools/GtestEnvironment.h"
-
-///////////////////////////////////////////////////////////////////////////////
-// Auto-parallelize independent FHE ops /////////////////////////////////////
-///////////////////////////////////////////////////////////////////////////////
-
-std::vector<uint64_t> distributed_results;
-
-TEST(Distributed, nn_med_nested) {
-  checkedJit(lambda, R"XXX(
-func.func @main(%arg0: tensor<200x4x!FHE.eint<4>>) -> tensor<200x8x!FHE.eint<4>> {
-  %cst = arith.constant dense<"0x01010100010100000001010101000101010101010101010001000101000001010001010100000101000001000001010001000001010100010001000000010100010001010001000001000101010101000100010001000000000100010001000101000001000101010100010001000000000101000100000000000001000100000100000100000001010000010001000101000100010001000100000100000100010101010000000000000000010001010000000100000100010100000100000000010001000101000100000000000101010101000101010101010100010100010100000000000101010100000100010100000001000101000000010101000101000100000101010100010101010000010101010100010000000000000001010101000100010101000001010001010000010001010101000000000000000001000001000000010100000100000101010100010001000000000000010100010101000000010100000100010001010001000000000100010001000101010100010100000001010100010101010100010100010001000001000000000101000101010001000100000101010100000101010100000100010101000100000101000101010100010001000101010100010001010001010000010000010001010000000001000101010001000000000101000000010000010100010001000001000001010101000100010001010100000101000000010001000000000101000101000000010000000001000101010100010001000000000001010000010001000001010101000101010101010100000000000001000100000100000001000000010101010101000000000101010101000100000101000100000000000001000100000101000101010100010000000101000000000100000100000101010000010100000000010000000000010001000100000101010001010101000000000000010000010101010001000000010001010001010000000000000101000000010101010101000001010101000001000001010100000000010001010100000100000101000101010100010001010001000001000100000101000100010100000100010000000101000000010000010001010101010000000101000000010101000001010100000100010001000000000001010000000100010000000000000000000000000001010101010101010101000001010101000001010100000001000101010101010000010101000101010100010101010000010101010100000100000000000101010000000000010101010000000001000000010100000100000001000101010000000001000001000001010001010000010001000101010001010001010101000100010000000100000100010101000000000101010101010001000100000000000101010000010101000001010001010000000001010100000101000001010000000001010101000100010000010101000000000001000101000001010101000101000001000001000000010100010001000101010100010001010000000101000000010001000001000100000101010001000001000001000101010000010001000001000101000000000000000101010000010000000101010100010100010001010101010000000000010001000101010000000001010100000000010001010100010001000001000101000000010100010000010000010001010100010000010001010100010000010100010101010001000100010100010101000100000101010100000100010100000100000000010101000000010001000001010000000101000100000100010101000000010100000101000001010001010100010000000101010000000001010001000000010100010101010001000100010001000001010101000000010001000100000100010101000000000000010100010000000100000000010100010000000100000101010000010101000100010000010100000001000100000000000100000001010101010101000100010001000000010101010100000001000001000001010001000101010100000001010001010100010101000101000000010001010100010101000100000101000101000001000001000001000101010100010001010000000100000101010100000001000000000000010101000100010001000001000001000000000000010100000100000001"> : tensor<200x8xi5>
-  %cst_0 = arith.constant dense<[[1, 0, 0, 0, 1, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 0], [1, 1, 0, 1, 1, 0, 1, 1], [1, 1, 0, 0, 1, 0, 1, 1]]> : tensor<4x8xi5>
-  %cst_1 = arith.constant dense<[0, 3, 7, 10, 14, 17, 21, 24, 28, 31, 35, 38, 42, 45, 49, 52]> : tensor<16xi64>
-  %0 = "FHELinalg.matmul_eint_int"(%arg0, %cst_0) : (tensor<200x4x!FHE.eint<4>>, tensor<4x8xi5>) -> tensor<200x8x!FHE.eint<4>>
-  %1 = "FHELinalg.add_eint_int"(%0, %cst) : (tensor<200x8x!FHE.eint<4>>, tensor<200x8xi5>) -> tensor<200x8x!FHE.eint<4>>
-
-  %res = "FHE.zero_tensor"() : () -> tensor<200x8x!FHE.eint<4>>
-
-  %slice_A = tensor.extract_slice %1[0,   0][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_B = tensor.extract_slice %1[25,  0][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_C = tensor.extract_slice %1[50,  0][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_D = tensor.extract_slice %1[75,  0][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_E = tensor.extract_slice %1[100, 0][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_F = tensor.extract_slice %1[125, 0][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_G = tensor.extract_slice %1[150, 0][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_H = tensor.extract_slice %1[175, 0][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_I = tensor.extract_slice %1[0,   4][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_J = tensor.extract_slice %1[25,  4][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_K = tensor.extract_slice %1[50,  4][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_L = tensor.extract_slice %1[75,  4][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_M = tensor.extract_slice %1[100, 4][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_N = tensor.extract_slice %1[125, 4][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_O = tensor.extract_slice %1[150, 4][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-  %slice_P = tensor.extract_slice %1[175, 4][25, 4][1, 1] : tensor<200x8x!FHE.eint<4>> to tensor<25x4x!FHE.eint<4>>
-
-  %part_A = "FHELinalg.apply_lookup_table"(%slice_A, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_B = "FHELinalg.apply_lookup_table"(%slice_B, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_C = "FHELinalg.apply_lookup_table"(%slice_C, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_D = "FHELinalg.apply_lookup_table"(%slice_D, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_E = "FHELinalg.apply_lookup_table"(%slice_E, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_F = "FHELinalg.apply_lookup_table"(%slice_F, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_G = "FHELinalg.apply_lookup_table"(%slice_G, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_H = "FHELinalg.apply_lookup_table"(%slice_H, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_I = "FHELinalg.apply_lookup_table"(%slice_I, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_J = "FHELinalg.apply_lookup_table"(%slice_J, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_K = "FHELinalg.apply_lookup_table"(%slice_K, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_L = "FHELinalg.apply_lookup_table"(%slice_L, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_M = "FHELinalg.apply_lookup_table"(%slice_M, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_N = "FHELinalg.apply_lookup_table"(%slice_N, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_O = "FHELinalg.apply_lookup_table"(%slice_O, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-  %part_P = "FHELinalg.apply_lookup_table"(%slice_P, %cst_1) : (tensor<25x4x!FHE.eint<4>>, tensor<16xi64>) -> tensor<25x4x!FHE.eint<4>>
-
-  %res_A = tensor.insert_slice %part_A into %res  [0,   0][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_B = tensor.insert_slice %part_B into %res_A[25,  0][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_C = tensor.insert_slice %part_C into %res_B[50,  0][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_D = tensor.insert_slice %part_D into %res_C[75,  0][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_E = tensor.insert_slice %part_E into %res_D[100, 0][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_F = tensor.insert_slice %part_F into %res_E[125, 0][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_G = tensor.insert_slice %part_G into %res_F[150, 0][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_H = tensor.insert_slice %part_H into %res_G[175, 0][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_I = tensor.insert_slice %part_I into %res_H[0,   4][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_J = tensor.insert_slice %part_J into %res_I[25,  4][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_K = tensor.insert_slice %part_K into %res_J[50,  4][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_L = tensor.insert_slice %part_L into %res_K[75,  4][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_M = tensor.insert_slice %part_M into %res_L[100, 4][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_N = tensor.insert_slice %part_N into %res_M[125, 4][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_O = tensor.insert_slice %part_O into %res_N[150, 4][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-  %res_P = tensor.insert_slice %part_P into %res_O[175, 4][25, 4][1, 1] : tensor<25x4x!FHE.eint<4>> into tensor<200x8x!FHE.eint<4>>
-
-  return %res_P : tensor<200x8x!FHE.eint<4>>
-}
-)XXX",
-             "main", false, true, true, DEFAULT_batchTFHEOps,
-             DEFAULT_global_p_error, DEFAULT_chunkedIntegers, DEFAULT_chunkSize,
-             DEFAULT_chunkWidth, false);
-
-  const size_t dim0 = 200;
-  const size_t dim1 = 4;
-  const size_t dim2 = 8;
-  const std::vector<size_t> inputShape({dim0, dim1});
-  const std::vector<size_t> outputShape({dim0, dim2});
-  std::vector<uint64_t> values;
-  values.reserve(dim0 * dim1);
-  for (size_t i = 0; i < dim0 * dim1; ++i) {
-    values.push_back(i % 17 % 4);
-  }
-  auto input = Tensor<uint64_t>(values, inputShape);
-
-  if (mlir::concretelang::dfr::_dfr_is_root_node()) {
-    auto maybeResult = lambda.call({input});
-    ASSERT_OUTCOME_HAS_VALUE(maybeResult);
-    auto result = maybeResult.value()[0].template getTensor<uint64_t>().value();
-    ASSERT_EQ(result.dimensions, outputShape);
-    distributed_results = result.values;
-  } else {
-    ASSERT_OUTCOME_HAS_VALUE(lambda.call({}));
-  }
-}
-
-TEST(Distributed, nn_med_sequential) {
-  if (mlir::concretelang::dfr::_dfr_is_root_node()) {
-    checkedJit(lambda, R"XXX(
-  func.func @main(%arg0: tensor<200x4x!FHE.eint<4>>) -> tensor<200x8x!FHE.eint<4>> {
-    %cst = arith.constant dense<"0x01010100010100000001010101000101010101010101010001000101000001010001010100000101000001000001010001000001010100010001000000010100010001010001000001000101010101000100010001000000000100010001000101000001000101010100010001000000000101000100000000000001000100000100000100000001010000010001000101000100010001000100000100000100010101010000000000000000010001010000000100000100010100000100000000010001000101000100000000000101010101000101010101010100010100010100000000000101010100000100010100000001000101000000010101000101000100000101010100010101010000010101010100010000000000000001010101000100010101000001010001010000010001010101000000000000000001000001000000010100000100000101010100010001000000000000010100010101000000010100000100010001010001000000000100010001000101010100010100000001010100010101010100010100010001000001000000000101000101010001000100000101010100000101010100000100010101000100000101000101010100010001000101010100010001010001010000010000010001010000000001000101010001000000000101000000010000010100010001000001000001010101000100010001010100000101000000010001000000000101000101000000010000000001000101010100010001000000000001010000010001000001010101000101010101010100000000000001000100000100000001000000010101010101000000000101010101000100000101000100000000000001000100000101000101010100010000000101000000000100000100000101010000010100000000010000000000010001000100000101010001010101000000000000010000010101010001000000010001010001010000000000000101000000010101010101000001010101000001000001010100000000010001010100000100000101000101010100010001010001000001000100000101000100010100000100010000000101000000010000010001010101010000000101000000010101000001010100000100010001000000000001010000000100010000000000000000000000000001010101010101010101000001010101000001010100000001000101010101010000010101000101010100010101010000010101010100000100000000000101010000000000010101010000000001000000010100000100000001000101010000000001000001000001010001010000010001000101010001010001010101000100010000000100000100010101000000000101010101010001000100000000000101010000010101000001010001010000000001010100000101000001010000000001010101000100010000010101000000000001000101000001010101000101000001000001000000010100010001000101010100010001010000000101000000010001000001000100000101010001000001000001000101010000010001000001000101000000000000000101010000010000000101010100010100010001010101010000000000010001000101010000000001010100000000010001010100010001000001000101000000010100010000010000010001010100010000010001010100010000010100010101010001000100010100010101000100000101010100000100010100000100000000010101000000010001000001010000000101000100000100010101000000010100000101000001010001010100010000000101010000000001010001000000010100010101010001000100010001000001010101000000010001000100000100010101000000000000010100010000000100000000010100010000000100000101010000010101000100010000010100000001000100000000000100000001010101010101000100010001000000010101010100000001000001000001010001000101010100000001010001010100010101000101000000010001010100010101000100000101000101000001000001000001000101010100010001010000000100000101010100000001000000000000010101000100010001000001000001000000000000010100000100000001"> : tensor<200x8xi5>
-    %cst_0 = arith.constant dense<[[1, 0, 0, 0, 1, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 0], [1, 1, 0, 1, 1, 0, 1, 1], [1, 1, 0, 0, 1, 0, 1, 1]]> : tensor<4x8xi5>
-    %0 = "FHELinalg.matmul_eint_int"(%arg0, %cst_0) : (tensor<200x4x!FHE.eint<4>>, tensor<4x8xi5>) -> tensor<200x8x!FHE.eint<4>>
-    %1 = "FHELinalg.add_eint_int"(%0, %cst) : (tensor<200x8x!FHE.eint<4>>, tensor<200x8xi5>) -> tensor<200x8x!FHE.eint<4>>
-    %cst_1 = arith.constant dense<[0, 3, 7, 10, 14, 17, 21, 24, 28, 31, 35, 38, 42, 45, 49, 52]> : tensor<16xi64>
-    %2 = "FHELinalg.apply_lookup_table"(%1, %cst_1) : (tensor<200x8x!FHE.eint<4>>, tensor<16xi64>) -> tensor<200x8x!FHE.eint<4>>
-    return %2 : tensor<200x8x!FHE.eint<4>>
-  }
-)XXX",
-               "main", false, false, false, DEFAULT_batchTFHEOps,
-               DEFAULT_global_p_error, DEFAULT_chunkedIntegers,
-               DEFAULT_chunkSize, DEFAULT_chunkWidth, false);
-
-    const size_t dim0 = 200;
-    const size_t dim1 = 4;
-    const size_t dim2 = 8;
-    const std::vector<size_t> inputShape({dim0, dim1});
-    const std::vector<size_t> outputShape({dim0, dim2});
-    std::vector<uint64_t> values;
-    values.reserve(dim0 * dim1);
-    for (size_t i = 0; i < dim0 * dim1; ++i) {
-      values.push_back(i % 17 % 4);
-    }
-    auto input = Tensor<uint64_t>(values, inputShape);
-
-    if (mlir::concretelang::dfr::_dfr_is_root_node()) {
-      auto maybeResult = lambda.call({input});
-      ASSERT_OUTCOME_HAS_VALUE(maybeResult);
-      auto result =
-          maybeResult.value()[0].template getTensor<uint64_t>().value();
-      for (size_t i = 0; i < dim0 * dim2; i++)
-        EXPECT_EQ(distributed_results[i], result.values[i])
-            << "result differ at pos " << i;
-    }
-  }
-}
diff --git a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_distributed.sh b/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_distributed.sh
deleted file mode 100644
index 58dfe57d1..000000000
--- a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_distributed.sh
+++ /dev/null
@@ -1,23 +0,0 @@
-#!/bin/bash
-#SBATCH --job-name=end_to_end_jit_distributed
-#SBATCH --mail-type=BEGIN,END,FAIL
-#SBATCH --mail-user=antoniu.pop@zama.ai
-#SBATCH --nodes=4
-#SBATCH --cpus-per-task=8
-#SBATCH --time=00:45:00
-#SBATCH --output=end_to_end_jit_distributed_%j.log
-
-echo "Date              = $(date)"
-echo "Hostname          = $(hostname -s)"
-echo "Working Directory = $(pwd)"
-echo ""
-echo "Number of Nodes Allocated      = $SLURM_JOB_NUM_NODES"
-echo "Number of Tasks Allocated      = $SLURM_NTASKS"
-echo "Number of Cores/Task Allocated = $SLURM_CPUS_PER_TASK"
-
-export OMP_NUM_THREADS=8
-export DFR_NUM_THREADS=2
-
-srun ./build/bin/end_to_end_jit_distributed
-
-date
diff --git a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_test.cc b/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_test.cc
index aeffd5c3b..3d4a749da 100644
--- a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_test.cc
+++ b/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_jit_test.cc
@@ -407,8 +407,10 @@ func.func @main(%arg0: !FHE.eint<3>) -> !FHE.eint<3> {
 }
 )XXX");
   ASSERT_OUTCOME_HAS_FAILURE_WITH_ERRORMSG(
-      err, "Program can not be composed: Dag is not composable, because of "
-           "output 1: Partition 0 has input coefficient 4");
+      err, "Program can not be composed: At -:4:8: please add "
+           "`fhe.refresh(...)` to guarantee the function composability.\n"
+           "The noise of the node 0 is contaminated by noise coming straight "
+           "from the input (partition: 0, coeff: 4.00).");
 }
 
 TEST(CompileNotComposable, not_composable_2) {
@@ -428,8 +430,10 @@ func.func @main(%arg0: !FHE.eint<3>) -> (!FHE.eint<3>, !FHE.eint<3>) {
 }
 )XXX");
   ASSERT_OUTCOME_HAS_FAILURE_WITH_ERRORMSG(
-      err, "Program can not be composed: Dag is not composable, because of "
-           "output 1: Partition 0 has input coefficient 4");
+      err, "Program can not be composed: At -:5:8: please add "
+           "`fhe.refresh(...)` to guarantee the function composability.\n"
+           "The noise of the node 0 is contaminated by noise coming straight "
+           "from the input (partition: 0, coeff: 4.00).");
 }
 
 TEST(CompileComposable, composable_supported_v0) {
diff --git a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_test.cc b/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_test.cc
index 719797e39..65ecf0a7d 100644
--- a/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_test.cc
+++ b/compilers/concrete-compiler/compiler/tests/end_to_end_tests/end_to_end_test.cc
@@ -6,7 +6,6 @@
 #include <type_traits>
 
 #include "concretelang/Common/Values.h"
-#include "concretelang/Runtime/DFRuntime.hpp"
 #include "concretelang/Support/CompilationFeedback.h"
 #include "concretelang/TestLib/TestProgram.h"
 #include "end_to_end_fixture/EndToEndFixture.h"
@@ -59,18 +58,10 @@ public:
   void testOnce() {
     for (auto tests_rep = 0; tests_rep <= options.numberOfRetry; tests_rep++) {
       // We execute the circuit.
-      auto maybeRes =
-          testCircuit->call((mlir::concretelang::dfr::_dfr_is_root_node())
-                                ? args
-                                : std::vector<Value>());
-      if (!mlir::concretelang::dfr::_dfr_is_root_node())
-        return;
+      auto maybeRes = testCircuit->call(args);
       ASSERT_OUTCOME_HAS_VALUE(maybeRes);
       auto result = maybeRes.value();
 
-      if (!mlir::concretelang::dfr::_dfr_is_root_node())
-        return;
-
       /* Check results */
       bool allgood = true;
       for (size_t i = 0; i < desc.outputs.size(); i++) {
diff --git a/compilers/concrete-compiler/compiler/tests/unit_tests/concretelang/Encodings/Encodings_unit_tests.cpp b/compilers/concrete-compiler/compiler/tests/unit_tests/concretelang/Encodings/Encodings_unit_tests.cpp
index c575005b3..a4927f02a 100644
--- a/compilers/concrete-compiler/compiler/tests/unit_tests/concretelang/Encodings/Encodings_unit_tests.cpp
+++ b/compilers/concrete-compiler/compiler/tests/unit_tests/concretelang/Encodings/Encodings_unit_tests.cpp
@@ -36,16 +36,16 @@ Result<TestProgram> setupTestProgram(std::string source,
   auto outputs = circuitEncoding.asBuilder().initOutputs(1);
   circuitEncoding.asBuilder().setName(funcname);
 
-  auto encodingInfo = Message<concreteprotocol::EncodingInfo>().asBuilder();
-  encodingInfo.initShape();
-  auto integer = encodingInfo.getEncoding().initIntegerCiphertext();
+  auto encodingInfo = Message<concreteprotocol::EncodingInfo>();
+  encodingInfo.asBuilder().initShape();
+  auto integer = encodingInfo.asBuilder().getEncoding().initIntegerCiphertext();
   integer.getMode().initNative();
   integer.setWidth(3);
   integer.setIsSigned(false);
 
-  inputs.setWithCaveats(0, encodingInfo);
-  inputs.setWithCaveats(1, encodingInfo);
-  outputs.setWithCaveats(0, encodingInfo);
+  inputs.setWithCaveats(0, encodingInfo.asReader());
+  inputs.setWithCaveats(1, encodingInfo.asReader());
+  outputs.setWithCaveats(0, encodingInfo.asReader());
 
   options.encodings = Message<concreteprotocol::ProgramEncodingInfo>();
   options.encodings->asBuilder().initCircuits(1).setWithCaveats(
@@ -61,14 +61,14 @@ Result<TestProgram> setupTestProgram(std::string source,
 TEST(Encodings_unit_tests, multi_key) {
   std::string source = R"(
 func.func @main(
-  %arg0: !TFHE.glwe<sk<1,1,2048>>, 
+  %arg0: !TFHE.glwe<sk<1,1,2048>>,
   %arg1: !TFHE.glwe<sk<2,1,2048>>
   ) -> !TFHE.glwe<sk<2,1,2048>> {
 
   %0 = "TFHE.keyswitch_glwe"(%arg0) {key=#TFHE.ksk<sk<1,1,2048>, sk<2, 1,2048>, 7, 2>} : (!TFHE.glwe<sk<1, 1, 2048>>) -> !TFHE.glwe<sk<2, 1, 2048>>
   %1 = "TFHE.add_glwe"(%arg1, %0) : (!TFHE.glwe<sk<2,1,2048>>, !TFHE.glwe<sk<2,1,2048>>) -> !TFHE.glwe<sk<2,1,2048>>
   return %1 : !TFHE.glwe<sk<2,1,2048>>
-  
+
 }
 )";
   ASSERT_ASSIGN_OUTCOME_VALUE(circuit, setupTestProgram(source));
diff --git a/compilers/concrete-optimizer/concrete-optimizer-cpp/src/concrete-optimizer.rs b/compilers/concrete-optimizer/concrete-optimizer-cpp/src/concrete-optimizer.rs
index a3a52c3ed..75dfaa057 100644
--- a/compilers/concrete-optimizer/concrete-optimizer-cpp/src/concrete-optimizer.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer-cpp/src/concrete-optimizer.rs
@@ -1,3 +1,6 @@
+#![allow(clippy::boxed_local)]
+#![allow(clippy::too_many_arguments)]
+
 use concrete_optimizer::computing_cost::cpu::CpuComplexity;
 use concrete_optimizer::config;
 use concrete_optimizer::config::ProcessingUnit;
@@ -42,7 +45,7 @@ fn caches_from(options: ffi::Options) -> decomposition::PersistDecompCaches {
     decomposition::cache(
         options.security_level,
         processing_unit,
-        Some(ProcessingUnit::Cpu.complexity_model()),
+        Some(processing_unit.complexity_model()),
         options.cache_on_disk,
         options.ciphertext_modulus_log,
         options.fft_precision,
@@ -612,12 +615,19 @@ impl Dag {
 pub struct DagBuilder<'dag>(unparametrized::DagBuilder<'dag>);
 
 impl<'dag> DagBuilder<'dag> {
-    fn add_input(&mut self, out_precision: Precision, out_shape: &[u64]) -> ffi::OperatorIndex {
+    fn add_input(
+        &mut self,
+        out_precision: Precision,
+        out_shape: &[u64],
+        location: &Location,
+    ) -> ffi::OperatorIndex {
         let out_shape = Shape {
             dimensions_size: out_shape.to_owned(),
         };
 
-        self.0.add_input(out_precision, out_shape).into()
+        self.0
+            .add_input(out_precision, out_shape, location.0.clone())
+            .into()
     }
 
     fn add_lut(
@@ -625,12 +635,15 @@ impl<'dag> DagBuilder<'dag> {
         input: ffi::OperatorIndex,
         table: &[u64],
         out_precision: Precision,
+        location: &Location,
     ) -> ffi::OperatorIndex {
         let table = FunctionTable {
             values: table.to_owned(),
         };
 
-        self.0.add_lut(input.into(), table, out_precision).into()
+        self.0
+            .add_lut(input.into(), table, out_precision, location.0.clone())
+            .into()
     }
 
     #[allow(clippy::boxed_local)]
@@ -638,10 +651,11 @@ impl<'dag> DagBuilder<'dag> {
         &mut self,
         inputs: &[ffi::OperatorIndex],
         weights: Box<Weights>,
+        location: &Location,
     ) -> ffi::OperatorIndex {
         let inputs: Vec<OperatorIndex> = inputs.iter().copied().map(Into::into).collect();
 
-        self.0.add_dot(inputs, weights.0).into()
+        self.0.add_dot(inputs, weights.0, location.0.clone()).into()
     }
 
     fn add_levelled_op(
@@ -649,10 +663,12 @@ impl<'dag> DagBuilder<'dag> {
         inputs: &[ffi::OperatorIndex],
         lwe_dim_cost_factor: f64,
         fixed_cost: f64,
-        manp: f64,
+        weights: &[f64],
         out_shape: &[u64],
         comment: &str,
+        location: &Location,
     ) -> ffi::OperatorIndex {
+        debug_assert!(weights.len() == inputs.len());
         let inputs: Vec<OperatorIndex> = inputs.iter().copied().map(Into::into).collect();
 
         let out_shape = Shape {
@@ -665,7 +681,14 @@ impl<'dag> DagBuilder<'dag> {
         };
 
         self.0
-            .add_levelled_op(inputs, complexity, manp, out_shape, comment)
+            .add_levelled_op(
+                inputs,
+                complexity,
+                weights,
+                out_shape,
+                comment,
+                location.0.clone(),
+            )
             .into()
     }
 
@@ -673,16 +696,22 @@ impl<'dag> DagBuilder<'dag> {
         &mut self,
         input: ffi::OperatorIndex,
         rounded_precision: Precision,
+        location: &Location,
     ) -> ffi::OperatorIndex {
-        self.0.add_round_op(input.into(), rounded_precision).into()
+        self.0
+            .add_round_op(input.into(), rounded_precision, location.0.clone())
+            .into()
     }
 
     fn add_unsafe_cast_op(
         &mut self,
         input: ffi::OperatorIndex,
         new_precision: Precision,
+        location: &Location,
     ) -> ffi::OperatorIndex {
-        self.0.add_unsafe_cast(input.into(), new_precision).into()
+        self.0
+            .add_unsafe_cast(input.into(), new_precision, location.0.clone())
+            .into()
     }
 
     fn tag_operator_as_output(&mut self, op: ffi::OperatorIndex) {
@@ -694,6 +723,30 @@ impl<'dag> DagBuilder<'dag> {
     }
 }
 
+#[derive(Clone)]
+pub struct Location(operator::Location);
+
+fn location_unknown() -> Box<Location> {
+    Box::new(Location(operator::Location::Unknown))
+}
+
+fn location_from_string(string: &str) -> Box<Location> {
+    let location: Vec<&str> = string.split(':').collect();
+    match location[..] {
+        [file] => Box::new(Location(operator::Location::File(file.into()))),
+        [file, line] => Box::new(Location(operator::Location::Line(
+            file.into(),
+            line.parse().unwrap(),
+        ))),
+        [file, line, column] => Box::new(Location(operator::Location::LineColumn(
+            file.into(),
+            line.parse().unwrap(),
+            column.parse().unwrap(),
+        ))),
+        _ => Box::new(Location(operator::Location::Unknown)),
+    }
+}
+
 pub struct Weights(operator::Weights);
 
 fn vector(weights: &[i64]) -> Box<Weights> {
@@ -748,6 +801,14 @@ mod ffi {
 
         type DagBuilder<'dag>;
 
+        type Location;
+
+        #[namespace = "concrete_optimizer::utils"]
+        fn location_unknown() -> Box<Location>;
+
+        #[namespace = "concrete_optimizer::utils"]
+        fn location_from_string(string: &str) -> Box<Location>;
+
         #[namespace = "concrete_optimizer::dag"]
         fn empty() -> Box<Dag>;
 
@@ -761,6 +822,7 @@ mod ffi {
             self: &mut DagBuilder<'_>,
             out_precision: u8,
             out_shape: &[u64],
+            location: &Location,
         ) -> OperatorIndex;
 
         unsafe fn add_lut(
@@ -768,12 +830,14 @@ mod ffi {
             input: OperatorIndex,
             table: &[u64],
             out_precision: u8,
+            location: &Location,
         ) -> OperatorIndex;
 
         unsafe fn add_dot(
             self: &mut DagBuilder<'_>,
             inputs: &[OperatorIndex],
             weights: Box<Weights>,
+            location: &Location,
         ) -> OperatorIndex;
 
         unsafe fn add_levelled_op(
@@ -781,21 +845,24 @@ mod ffi {
             inputs: &[OperatorIndex],
             lwe_dim_cost_factor: f64,
             fixed_cost: f64,
-            manp: f64,
+            weights: &[f64],
             out_shape: &[u64],
             comment: &str,
+            location: &Location,
         ) -> OperatorIndex;
 
         unsafe fn add_round_op(
             self: &mut DagBuilder<'_>,
             input: OperatorIndex,
             rounded_precision: u8,
+            location: &Location,
         ) -> OperatorIndex;
 
         unsafe fn add_unsafe_cast_op(
             self: &mut DagBuilder<'_>,
             input: OperatorIndex,
             rounded_precision: u8,
+            location: &Location,
         ) -> OperatorIndex;
 
         unsafe fn tag_operator_as_output(self: &mut DagBuilder<'_>, op: OperatorIndex);
diff --git a/compilers/concrete-optimizer/concrete-optimizer-cpp/src/cpp/concrete-optimizer.cpp b/compilers/concrete-optimizer/concrete-optimizer-cpp/src/cpp/concrete-optimizer.cpp
index f20c22d65..2f1bd4b25 100644
--- a/compilers/concrete-optimizer/concrete-optimizer-cpp/src/cpp/concrete-optimizer.cpp
+++ b/compilers/concrete-optimizer/concrete-optimizer-cpp/src/cpp/concrete-optimizer.cpp
@@ -943,6 +943,7 @@ struct CircuitKeys;
 namespace concrete_optimizer {
   struct Dag;
   struct DagBuilder;
+  struct Location;
   struct Weights;
   enum class Encoding : ::std::uint8_t;
   enum class MultiParamStrategy : ::std::uint8_t;
@@ -993,12 +994,12 @@ private:
 #define CXXBRIDGE1_STRUCT_concrete_optimizer$DagBuilder
 struct DagBuilder final : public ::rust::Opaque {
   ::rust::String dump() const noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_input(::std::uint8_t out_precision, ::rust::Slice<::std::uint64_t const> out_shape) noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_lut(::concrete_optimizer::dag::OperatorIndex input, ::rust::Slice<::std::uint64_t const> table, ::std::uint8_t out_precision) noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_dot(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, ::rust::Box<::concrete_optimizer::Weights> weights) noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_levelled_op(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, double lwe_dim_cost_factor, double fixed_cost, double manp, ::rust::Slice<::std::uint64_t const> out_shape, ::rust::Str comment) noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_round_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision) noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_unsafe_cast_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_input(::std::uint8_t out_precision, ::rust::Slice<::std::uint64_t const> out_shape, ::concrete_optimizer::Location const &location) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_lut(::concrete_optimizer::dag::OperatorIndex input, ::rust::Slice<::std::uint64_t const> table, ::std::uint8_t out_precision, ::concrete_optimizer::Location const &location) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_dot(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, ::rust::Box<::concrete_optimizer::Weights> weights, ::concrete_optimizer::Location const &location) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_levelled_op(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, double lwe_dim_cost_factor, double fixed_cost, ::rust::Slice<double const> weights, ::rust::Slice<::std::uint64_t const> out_shape, ::rust::Str comment, ::concrete_optimizer::Location const &location) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_round_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision, ::concrete_optimizer::Location const &location) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_unsafe_cast_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision, ::concrete_optimizer::Location const &location) noexcept;
   void tag_operator_as_output(::concrete_optimizer::dag::OperatorIndex op) noexcept;
   ~DagBuilder() = delete;
 
@@ -1011,6 +1012,20 @@ private:
 };
 #endif // CXXBRIDGE1_STRUCT_concrete_optimizer$DagBuilder
 
+#ifndef CXXBRIDGE1_STRUCT_concrete_optimizer$Location
+#define CXXBRIDGE1_STRUCT_concrete_optimizer$Location
+struct Location final : public ::rust::Opaque {
+  ~Location() = delete;
+
+private:
+  friend ::rust::layout;
+  struct layout {
+    static ::std::size_t size() noexcept;
+    static ::std::size_t align() noexcept;
+  };
+};
+#endif // CXXBRIDGE1_STRUCT_concrete_optimizer$Location
+
 #ifndef CXXBRIDGE1_STRUCT_concrete_optimizer$Weights
 #define CXXBRIDGE1_STRUCT_concrete_optimizer$Weights
 struct Weights final : public ::rust::Opaque {
@@ -1288,8 +1303,18 @@ extern "C" {
 ::std::size_t concrete_optimizer$cxxbridge1$Dag$operator$alignof() noexcept;
 ::std::size_t concrete_optimizer$cxxbridge1$DagBuilder$operator$sizeof() noexcept;
 ::std::size_t concrete_optimizer$cxxbridge1$DagBuilder$operator$alignof() noexcept;
+::std::size_t concrete_optimizer$cxxbridge1$Location$operator$sizeof() noexcept;
+::std::size_t concrete_optimizer$cxxbridge1$Location$operator$alignof() noexcept;
 } // extern "C"
 
+namespace utils {
+extern "C" {
+::concrete_optimizer::Location *concrete_optimizer$utils$cxxbridge1$location_unknown() noexcept;
+
+::concrete_optimizer::Location *concrete_optimizer$utils$cxxbridge1$location_from_string(::rust::Str string) noexcept;
+} // extern "C"
+} // namespace utils
+
 namespace dag {
 extern "C" {
 ::concrete_optimizer::Dag *concrete_optimizer$dag$cxxbridge1$empty() noexcept;
@@ -1303,17 +1328,17 @@ void concrete_optimizer$cxxbridge1$Dag$dump(::concrete_optimizer::Dag const &sel
 
 void concrete_optimizer$cxxbridge1$DagBuilder$dump(::concrete_optimizer::DagBuilder const &self, ::rust::String *return$) noexcept;
 
-::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_input(::concrete_optimizer::DagBuilder &self, ::std::uint8_t out_precision, ::rust::Slice<::std::uint64_t const> out_shape) noexcept;
+::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_input(::concrete_optimizer::DagBuilder &self, ::std::uint8_t out_precision, ::rust::Slice<::std::uint64_t const> out_shape, ::concrete_optimizer::Location const &location) noexcept;
 
-::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_lut(::concrete_optimizer::DagBuilder &self, ::concrete_optimizer::dag::OperatorIndex input, ::rust::Slice<::std::uint64_t const> table, ::std::uint8_t out_precision) noexcept;
+::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_lut(::concrete_optimizer::DagBuilder &self, ::concrete_optimizer::dag::OperatorIndex input, ::rust::Slice<::std::uint64_t const> table, ::std::uint8_t out_precision, ::concrete_optimizer::Location const &location) noexcept;
 
-::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_dot(::concrete_optimizer::DagBuilder &self, ::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, ::concrete_optimizer::Weights *weights) noexcept;
+::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_dot(::concrete_optimizer::DagBuilder &self, ::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, ::concrete_optimizer::Weights *weights, ::concrete_optimizer::Location const &location) noexcept;
 
-::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_levelled_op(::concrete_optimizer::DagBuilder &self, ::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, double lwe_dim_cost_factor, double fixed_cost, double manp, ::rust::Slice<::std::uint64_t const> out_shape, ::rust::Str comment) noexcept;
+::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_levelled_op(::concrete_optimizer::DagBuilder &self, ::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, double lwe_dim_cost_factor, double fixed_cost, ::rust::Slice<double const> weights, ::rust::Slice<::std::uint64_t const> out_shape, ::rust::Str comment, ::concrete_optimizer::Location const &location) noexcept;
 
-::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_round_op(::concrete_optimizer::DagBuilder &self, ::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision) noexcept;
+::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_round_op(::concrete_optimizer::DagBuilder &self, ::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision, ::concrete_optimizer::Location const &location) noexcept;
 
-::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_unsafe_cast_op(::concrete_optimizer::DagBuilder &self, ::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision) noexcept;
+::concrete_optimizer::dag::OperatorIndex concrete_optimizer$cxxbridge1$DagBuilder$add_unsafe_cast_op(::concrete_optimizer::DagBuilder &self, ::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision, ::concrete_optimizer::Location const &location) noexcept;
 
 void concrete_optimizer$cxxbridge1$DagBuilder$tag_operator_as_output(::concrete_optimizer::DagBuilder &self, ::concrete_optimizer::dag::OperatorIndex op) noexcept;
 
@@ -1393,6 +1418,24 @@ namespace utils {
   return concrete_optimizer$cxxbridge1$DagBuilder$operator$alignof();
 }
 
+::std::size_t Location::layout::size() noexcept {
+  return concrete_optimizer$cxxbridge1$Location$operator$sizeof();
+}
+
+::std::size_t Location::layout::align() noexcept {
+  return concrete_optimizer$cxxbridge1$Location$operator$alignof();
+}
+
+namespace utils {
+::rust::Box<::concrete_optimizer::Location> location_unknown() noexcept {
+  return ::rust::Box<::concrete_optimizer::Location>::from_raw(concrete_optimizer$utils$cxxbridge1$location_unknown());
+}
+
+::rust::Box<::concrete_optimizer::Location> location_from_string(::rust::Str string) noexcept {
+  return ::rust::Box<::concrete_optimizer::Location>::from_raw(concrete_optimizer$utils$cxxbridge1$location_from_string(string));
+}
+} // namespace utils
+
 namespace dag {
 ::rust::Box<::concrete_optimizer::Dag> empty() noexcept {
   return ::rust::Box<::concrete_optimizer::Dag>::from_raw(concrete_optimizer$dag$cxxbridge1$empty());
@@ -1415,28 +1458,28 @@ namespace dag {
   return ::std::move(return$.value);
 }
 
-::concrete_optimizer::dag::OperatorIndex DagBuilder::add_input(::std::uint8_t out_precision, ::rust::Slice<::std::uint64_t const> out_shape) noexcept {
-  return concrete_optimizer$cxxbridge1$DagBuilder$add_input(*this, out_precision, out_shape);
+::concrete_optimizer::dag::OperatorIndex DagBuilder::add_input(::std::uint8_t out_precision, ::rust::Slice<::std::uint64_t const> out_shape, ::concrete_optimizer::Location const &location) noexcept {
+  return concrete_optimizer$cxxbridge1$DagBuilder$add_input(*this, out_precision, out_shape, location);
 }
 
-::concrete_optimizer::dag::OperatorIndex DagBuilder::add_lut(::concrete_optimizer::dag::OperatorIndex input, ::rust::Slice<::std::uint64_t const> table, ::std::uint8_t out_precision) noexcept {
-  return concrete_optimizer$cxxbridge1$DagBuilder$add_lut(*this, input, table, out_precision);
+::concrete_optimizer::dag::OperatorIndex DagBuilder::add_lut(::concrete_optimizer::dag::OperatorIndex input, ::rust::Slice<::std::uint64_t const> table, ::std::uint8_t out_precision, ::concrete_optimizer::Location const &location) noexcept {
+  return concrete_optimizer$cxxbridge1$DagBuilder$add_lut(*this, input, table, out_precision, location);
 }
 
-::concrete_optimizer::dag::OperatorIndex DagBuilder::add_dot(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, ::rust::Box<::concrete_optimizer::Weights> weights) noexcept {
-  return concrete_optimizer$cxxbridge1$DagBuilder$add_dot(*this, inputs, weights.into_raw());
+::concrete_optimizer::dag::OperatorIndex DagBuilder::add_dot(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, ::rust::Box<::concrete_optimizer::Weights> weights, ::concrete_optimizer::Location const &location) noexcept {
+  return concrete_optimizer$cxxbridge1$DagBuilder$add_dot(*this, inputs, weights.into_raw(), location);
 }
 
-::concrete_optimizer::dag::OperatorIndex DagBuilder::add_levelled_op(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, double lwe_dim_cost_factor, double fixed_cost, double manp, ::rust::Slice<::std::uint64_t const> out_shape, ::rust::Str comment) noexcept {
-  return concrete_optimizer$cxxbridge1$DagBuilder$add_levelled_op(*this, inputs, lwe_dim_cost_factor, fixed_cost, manp, out_shape, comment);
+::concrete_optimizer::dag::OperatorIndex DagBuilder::add_levelled_op(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, double lwe_dim_cost_factor, double fixed_cost, ::rust::Slice<double const> weights, ::rust::Slice<::std::uint64_t const> out_shape, ::rust::Str comment, ::concrete_optimizer::Location const &location) noexcept {
+  return concrete_optimizer$cxxbridge1$DagBuilder$add_levelled_op(*this, inputs, lwe_dim_cost_factor, fixed_cost, weights, out_shape, comment, location);
 }
 
-::concrete_optimizer::dag::OperatorIndex DagBuilder::add_round_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision) noexcept {
-  return concrete_optimizer$cxxbridge1$DagBuilder$add_round_op(*this, input, rounded_precision);
+::concrete_optimizer::dag::OperatorIndex DagBuilder::add_round_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision, ::concrete_optimizer::Location const &location) noexcept {
+  return concrete_optimizer$cxxbridge1$DagBuilder$add_round_op(*this, input, rounded_precision, location);
 }
 
-::concrete_optimizer::dag::OperatorIndex DagBuilder::add_unsafe_cast_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision) noexcept {
-  return concrete_optimizer$cxxbridge1$DagBuilder$add_unsafe_cast_op(*this, input, rounded_precision);
+::concrete_optimizer::dag::OperatorIndex DagBuilder::add_unsafe_cast_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision, ::concrete_optimizer::Location const &location) noexcept {
+  return concrete_optimizer$cxxbridge1$DagBuilder$add_unsafe_cast_op(*this, input, rounded_precision, location);
 }
 
 void DagBuilder::tag_operator_as_output(::concrete_optimizer::dag::OperatorIndex op) noexcept {
@@ -1517,6 +1560,10 @@ namespace weights {
 } // namespace concrete_optimizer
 
 extern "C" {
+::concrete_optimizer::Location *cxxbridge1$box$concrete_optimizer$Location$alloc() noexcept;
+void cxxbridge1$box$concrete_optimizer$Location$dealloc(::concrete_optimizer::Location *) noexcept;
+void cxxbridge1$box$concrete_optimizer$Location$drop(::rust::Box<::concrete_optimizer::Location> *ptr) noexcept;
+
 ::concrete_optimizer::Dag *cxxbridge1$box$concrete_optimizer$Dag$alloc() noexcept;
 void cxxbridge1$box$concrete_optimizer$Dag$dealloc(::concrete_optimizer::Dag *) noexcept;
 void cxxbridge1$box$concrete_optimizer$Dag$drop(::rust::Box<::concrete_optimizer::Dag> *ptr) noexcept;
@@ -1605,6 +1652,18 @@ void cxxbridge1$rust_vec$concrete_optimizer$dag$InstructionKeys$truncate(::rust:
 namespace rust {
 inline namespace cxxbridge1 {
 template <>
+::concrete_optimizer::Location *Box<::concrete_optimizer::Location>::allocation::alloc() noexcept {
+  return cxxbridge1$box$concrete_optimizer$Location$alloc();
+}
+template <>
+void Box<::concrete_optimizer::Location>::allocation::dealloc(::concrete_optimizer::Location *ptr) noexcept {
+  cxxbridge1$box$concrete_optimizer$Location$dealloc(ptr);
+}
+template <>
+void Box<::concrete_optimizer::Location>::drop() noexcept {
+  cxxbridge1$box$concrete_optimizer$Location$drop(this);
+}
+template <>
 ::concrete_optimizer::Dag *Box<::concrete_optimizer::Dag>::allocation::alloc() noexcept {
   return cxxbridge1$box$concrete_optimizer$Dag$alloc();
 }
diff --git a/compilers/concrete-optimizer/concrete-optimizer-cpp/src/cpp/concrete-optimizer.hpp b/compilers/concrete-optimizer/concrete-optimizer-cpp/src/cpp/concrete-optimizer.hpp
index abd0685d6..a56700ca8 100644
--- a/compilers/concrete-optimizer/concrete-optimizer-cpp/src/cpp/concrete-optimizer.hpp
+++ b/compilers/concrete-optimizer/concrete-optimizer-cpp/src/cpp/concrete-optimizer.hpp
@@ -924,6 +924,7 @@ struct CircuitKeys;
 namespace concrete_optimizer {
   struct Dag;
   struct DagBuilder;
+  struct Location;
   struct Weights;
   enum class Encoding : ::std::uint8_t;
   enum class MultiParamStrategy : ::std::uint8_t;
@@ -974,12 +975,12 @@ private:
 #define CXXBRIDGE1_STRUCT_concrete_optimizer$DagBuilder
 struct DagBuilder final : public ::rust::Opaque {
   ::rust::String dump() const noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_input(::std::uint8_t out_precision, ::rust::Slice<::std::uint64_t const> out_shape) noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_lut(::concrete_optimizer::dag::OperatorIndex input, ::rust::Slice<::std::uint64_t const> table, ::std::uint8_t out_precision) noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_dot(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, ::rust::Box<::concrete_optimizer::Weights> weights) noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_levelled_op(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, double lwe_dim_cost_factor, double fixed_cost, double manp, ::rust::Slice<::std::uint64_t const> out_shape, ::rust::Str comment) noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_round_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision) noexcept;
-  ::concrete_optimizer::dag::OperatorIndex add_unsafe_cast_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_input(::std::uint8_t out_precision, ::rust::Slice<::std::uint64_t const> out_shape, ::concrete_optimizer::Location const &location) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_lut(::concrete_optimizer::dag::OperatorIndex input, ::rust::Slice<::std::uint64_t const> table, ::std::uint8_t out_precision, ::concrete_optimizer::Location const &location) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_dot(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, ::rust::Box<::concrete_optimizer::Weights> weights, ::concrete_optimizer::Location const &location) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_levelled_op(::rust::Slice<::concrete_optimizer::dag::OperatorIndex const> inputs, double lwe_dim_cost_factor, double fixed_cost, ::rust::Slice<double const> weights, ::rust::Slice<::std::uint64_t const> out_shape, ::rust::Str comment, ::concrete_optimizer::Location const &location) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_round_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision, ::concrete_optimizer::Location const &location) noexcept;
+  ::concrete_optimizer::dag::OperatorIndex add_unsafe_cast_op(::concrete_optimizer::dag::OperatorIndex input, ::std::uint8_t rounded_precision, ::concrete_optimizer::Location const &location) noexcept;
   void tag_operator_as_output(::concrete_optimizer::dag::OperatorIndex op) noexcept;
   ~DagBuilder() = delete;
 
@@ -992,6 +993,20 @@ private:
 };
 #endif // CXXBRIDGE1_STRUCT_concrete_optimizer$DagBuilder
 
+#ifndef CXXBRIDGE1_STRUCT_concrete_optimizer$Location
+#define CXXBRIDGE1_STRUCT_concrete_optimizer$Location
+struct Location final : public ::rust::Opaque {
+  ~Location() = delete;
+
+private:
+  friend ::rust::layout;
+  struct layout {
+    static ::std::size_t size() noexcept;
+    static ::std::size_t align() noexcept;
+  };
+};
+#endif // CXXBRIDGE1_STRUCT_concrete_optimizer$Location
+
 #ifndef CXXBRIDGE1_STRUCT_concrete_optimizer$Weights
 #define CXXBRIDGE1_STRUCT_concrete_optimizer$Weights
 struct Weights final : public ::rust::Opaque {
@@ -1258,6 +1273,10 @@ namespace utils {
 ::concrete_optimizer::dag::DagSolution convert_to_dag_solution(::concrete_optimizer::v0::Solution const &solution) noexcept;
 
 ::concrete_optimizer::dag::CircuitSolution convert_to_circuit_solution(::concrete_optimizer::dag::DagSolution const &solution, ::concrete_optimizer::Dag const &dag) noexcept;
+
+::rust::Box<::concrete_optimizer::Location> location_unknown() noexcept;
+
+::rust::Box<::concrete_optimizer::Location> location_from_string(::rust::Str string) noexcept;
 } // namespace utils
 
 namespace dag {
diff --git a/compilers/concrete-optimizer/concrete-optimizer-cpp/tests/src/main.cpp b/compilers/concrete-optimizer/concrete-optimizer-cpp/tests/src/main.cpp
index 6bfd7bde2..5d7d12f5e 100644
--- a/compilers/concrete-optimizer/concrete-optimizer-cpp/tests/src/main.cpp
+++ b/compilers/concrete-optimizer/concrete-optimizer-cpp/tests/src/main.cpp
@@ -51,7 +51,7 @@ TEST test_dag_no_lut() {
   std::vector<uint64_t> shape = {3};
 
   concrete_optimizer::dag::OperatorIndex node1 =
-      builder->add_input(PRECISION_8B, slice(shape));
+      builder->add_input(PRECISION_8B, slice(shape), *concrete_optimizer::utils::location_unknown());
 
   std::vector<concrete_optimizer::dag::OperatorIndex> inputs = {node1};
 
@@ -60,7 +60,7 @@ TEST test_dag_no_lut() {
   rust::cxxbridge1::Box<concrete_optimizer::Weights> weights =
       concrete_optimizer::weights::vector(slice(weight_vec));
 
-  auto id = builder->add_dot(slice(inputs), std::move(weights));
+  auto id = builder->add_dot(slice(inputs), std::move(weights), *concrete_optimizer::utils::location_unknown());
   builder->tag_operator_as_output(id);
 
   auto solution = dag->optimize(default_options());
@@ -75,10 +75,10 @@ TEST test_dag_lut() {
   std::vector<uint64_t> shape = {3};
 
   concrete_optimizer::dag::OperatorIndex input =
-      builder->add_input(PRECISION_8B, slice(shape));
+      builder->add_input(PRECISION_8B, slice(shape), *concrete_optimizer::utils::location_unknown());
 
   std::vector<u_int64_t> table = {};
-  auto id = builder->add_lut(input, slice(table), PRECISION_8B);
+  auto id = builder->add_lut(input, slice(table), PRECISION_8B, *concrete_optimizer::utils::location_unknown());
   builder->tag_operator_as_output(id);
 
   auto solution = dag->optimize(default_options());
@@ -94,10 +94,10 @@ TEST test_dag_lut_wop() {
   std::vector<uint64_t> shape = {3};
 
   concrete_optimizer::dag::OperatorIndex input =
-      builder->add_input(PRECISION_16B, slice(shape));
+      builder->add_input(PRECISION_16B, slice(shape), *concrete_optimizer::utils::location_unknown());
 
   std::vector<u_int64_t> table = {};
-  auto id = builder->add_lut(input, slice(table), PRECISION_16B);
+  auto id = builder->add_lut(input, slice(table), PRECISION_16B, *concrete_optimizer::utils::location_unknown());
   builder->tag_operator_as_output(id);
 
   auto solution = dag->optimize(default_options());
@@ -113,10 +113,10 @@ TEST test_dag_lut_force_wop() {
   std::vector<uint64_t> shape = {3};
 
   concrete_optimizer::dag::OperatorIndex input =
-      builder->add_input(PRECISION_8B, slice(shape));
+      builder->add_input(PRECISION_8B, slice(shape), *concrete_optimizer::utils::location_unknown());
 
   std::vector<u_int64_t> table = {};
-  auto id = builder->add_lut(input, slice(table), PRECISION_8B);
+  auto id = builder->add_lut(input, slice(table), PRECISION_8B, *concrete_optimizer::utils::location_unknown());
   builder->tag_operator_as_output(id);
 
   auto options = default_options();
@@ -133,10 +133,10 @@ TEST test_multi_parameters_1_precision() {
   std::vector<uint64_t> shape = {3};
 
   concrete_optimizer::dag::OperatorIndex input =
-      builder->add_input(PRECISION_8B, slice(shape));
+      builder->add_input(PRECISION_8B, slice(shape), *concrete_optimizer::utils::location_unknown());
 
   std::vector<u_int64_t> table = {};
-  auto id = builder->add_lut(input, slice(table), PRECISION_8B);
+  auto id = builder->add_lut(input, slice(table), PRECISION_8B, *concrete_optimizer::utils::location_unknown());
   builder->tag_operator_as_output(id);
 
   auto options = default_options();
@@ -160,14 +160,14 @@ TEST test_multi_parameters_2_precision() {
   std::vector<uint64_t> shape = {3};
 
   concrete_optimizer::dag::OperatorIndex input1 =
-      builder->add_input(PRECISION_8B, slice(shape));
+      builder->add_input(PRECISION_8B, slice(shape), *concrete_optimizer::utils::location_unknown());
 
   concrete_optimizer::dag::OperatorIndex input2 =
-      builder->add_input(PRECISION_1B, slice(shape));
+      builder->add_input(PRECISION_1B, slice(shape), *concrete_optimizer::utils::location_unknown());
 
   std::vector<u_int64_t> table = {};
-  auto lut1 = builder->add_lut(input1, slice(table), PRECISION_8B);
-  auto lut2 = builder->add_lut(input2, slice(table), PRECISION_8B);
+  auto lut1 = builder->add_lut(input1, slice(table), PRECISION_8B, *concrete_optimizer::utils::location_unknown());
+  auto lut2 = builder->add_lut(input2, slice(table), PRECISION_8B, *concrete_optimizer::utils::location_unknown());
 
   std::vector<concrete_optimizer::dag::OperatorIndex> inputs = {lut1, lut2};
 
@@ -176,7 +176,7 @@ TEST test_multi_parameters_2_precision() {
   rust::cxxbridge1::Box<concrete_optimizer::Weights> weights =
       concrete_optimizer::weights::vector(slice(weight_vec));
 
-  auto id = builder->add_dot(slice(inputs), std::move(weights));
+  auto id = builder->add_dot(slice(inputs), std::move(weights), *concrete_optimizer::utils::location_unknown());
   builder->tag_operator_as_output(id);
 
   auto options = default_options();
@@ -201,14 +201,14 @@ TEST test_multi_parameters_2_precision_crt() {
   std::vector<uint64_t> shape = {3};
 
   concrete_optimizer::dag::OperatorIndex input1 =
-      builder->add_input(PRECISION_8B, slice(shape));
+      builder->add_input(PRECISION_8B, slice(shape), *concrete_optimizer::utils::location_unknown());
 
   concrete_optimizer::dag::OperatorIndex input2 =
-      builder->add_input(PRECISION_1B, slice(shape));
+      builder->add_input(PRECISION_1B, slice(shape), *concrete_optimizer::utils::location_unknown());
 
   std::vector<u_int64_t> table = {};
-  auto lut1 = builder->add_lut(input1, slice(table), PRECISION_8B);
-  auto lut2 = builder->add_lut(input2, slice(table), PRECISION_8B);
+  auto lut1 = builder->add_lut(input1, slice(table), PRECISION_8B, *concrete_optimizer::utils::location_unknown());
+  auto lut2 = builder->add_lut(input2, slice(table), PRECISION_8B, *concrete_optimizer::utils::location_unknown());
 
   std::vector<concrete_optimizer::dag::OperatorIndex> inputs = {lut1, lut2};
 
@@ -217,7 +217,7 @@ TEST test_multi_parameters_2_precision_crt() {
   rust::cxxbridge1::Box<concrete_optimizer::Weights> weights =
       concrete_optimizer::weights::vector(slice(weight_vec));
 
-  auto id = builder->add_dot(slice(inputs), std::move(weights));
+  auto id = builder->add_dot(slice(inputs), std::move(weights), *concrete_optimizer::utils::location_unknown());
   builder->tag_operator_as_output(id);
 
   auto options = default_options();
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/location.rs b/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/location.rs
new file mode 100644
index 000000000..d0cfa76be
--- /dev/null
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/location.rs
@@ -0,0 +1,28 @@
+use std::{fmt::Display, path::PathBuf};
+
+#[derive(Debug, Clone, PartialEq, Eq)]
+pub enum Location {
+    Unknown,
+    File(PathBuf),
+    Line(PathBuf, usize),
+    LineColumn(PathBuf, usize, usize),
+}
+
+impl Display for Location {
+    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+        match self {
+            Self::Unknown => write!(f, "unknown location"),
+            Self::File(file) => write!(f, "{}", file.file_name().unwrap().to_str().unwrap()),
+            Self::Line(file, line) => {
+                write!(f, "{}:{line}", file.file_name().unwrap().to_str().unwrap())
+            }
+            Self::LineColumn(file, line, column) => {
+                write!(
+                    f,
+                    "{}:{line}:{column}",
+                    file.file_name().unwrap().to_str().unwrap()
+                )
+            }
+        }
+    }
+}
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/mod.rs b/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/mod.rs
index 5837495f4..a42816b25 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/mod.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/mod.rs
@@ -1,8 +1,10 @@
 #![allow(clippy::module_inception)]
 pub mod dot_kind;
+pub mod location;
 pub mod operator;
 pub mod tensor;
 
 pub use self::dot_kind::*;
+pub use self::location::*;
 pub use self::operator::*;
 pub use self::tensor::*;
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/operator.rs b/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/operator.rs
index 16eaab9a4..367f2a21a 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/operator.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/dag/operator/operator.rs
@@ -3,6 +3,7 @@ use std::iter::{empty, once};
 use std::ops::Deref;
 
 use crate::dag::operator::tensor::{ClearTensor, Shape};
+use crate::optimization::dag::multi_parameters::partition_cut::ExternalPartition;
 
 use super::DotKind;
 
@@ -89,7 +90,7 @@ pub enum Operator {
     LevelledOp {
         inputs: Vec<OperatorIndex>,
         complexity: LevelledComplexity,
-        manp: f64,
+        weights: Vec<f64>,
         out_shape: Shape,
         comment: String,
     },
@@ -104,6 +105,11 @@ pub enum Operator {
         input: OperatorIndex,
         out_precision: Precision,
     },
+    ChangePartition {
+        input: OperatorIndex,
+        src_partition: Option<ExternalPartition>,
+        dst_partition: Option<ExternalPartition>,
+    },
 }
 
 impl Operator {
@@ -114,7 +120,8 @@ impl Operator {
             Self::LevelledOp { inputs, .. } | Self::Dot { inputs, .. } => Box::new(inputs.iter()),
             Self::UnsafeCast { input, .. }
             | Self::Lut { input, .. }
-            | Self::Round { input, .. } => Box::new(once(input)),
+            | Self::Round { input, .. }
+            | Self::ChangePartition { input, .. } => Box::new(once(input)),
         }
     }
 }
@@ -171,7 +178,7 @@ impl fmt::Display for Operator {
             }
             Self::LevelledOp {
                 inputs,
-                manp,
+                weights,
                 out_shape,
                 ..
             } => {
@@ -182,7 +189,7 @@ impl fmt::Display for Operator {
                     }
                     write!(f, "%{}", input.0)?;
                 }
-                write!(f, "] : manp={manp} x {out_shape:?}")?;
+                write!(f, "] : weights={weights:?}, out_shape={out_shape:?}")?;
             }
             Self::Round {
                 input,
@@ -190,6 +197,23 @@ impl fmt::Display for Operator {
             } => {
                 write!(f, "ROUND[%{}] : u{out_precision}", input.0)?;
             }
+            Self::ChangePartition {
+                input,
+                src_partition,
+                dst_partition,
+            } => {
+                write!(f, "CHANGE_PARTITION[%{}] : {{", input.0)?;
+                if let Some(partition) = src_partition {
+                    write!(f, "src_partition: {}", partition.name)?;
+                }
+                if let Some(partition) = dst_partition {
+                    if src_partition.is_some() {
+                        write!(f, ", ")?;
+                    }
+                    write!(f, "dst_partition: {}", partition.name)?;
+                }
+                write!(f, "}}")?;
+            }
         }
         Ok(())
     }
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/dag/rewrite/regen.rs b/compilers/concrete-optimizer/concrete-optimizer/src/dag/rewrite/regen.rs
index efd3f26ef..24c38a08c 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/dag/rewrite/regen.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/dag/rewrite/regen.rs
@@ -1,6 +1,6 @@
 use crate::dag::operator::operator::Operator;
 use crate::dag::operator::OperatorIndex;
-use crate::dag::unparametrized::{Dag, DagBuilder};
+use crate::dag::unparametrized::{Dag, DagBuilder, DagOperator};
 
 fn reindex_op_inputs(op: &Operator, old_index_to_new: &[usize]) -> Operator {
     let mut op = op.clone();
@@ -8,7 +8,8 @@ fn reindex_op_inputs(op: &Operator, old_index_to_new: &[usize]) -> Operator {
         Operator::Input { .. } => (),
         Operator::Lut { input, .. }
         | Operator::UnsafeCast { input, .. }
-        | Operator::Round { input, .. } => input.0 = old_index_to_new[input.0],
+        | Operator::Round { input, .. }
+        | Operator::ChangePartition { input, .. } => input.0 = old_index_to_new[input.0],
         Operator::Dot { inputs, .. } | Operator::LevelledOp { inputs, .. } => {
             for input in inputs {
                 input.0 = old_index_to_new[input.0];
@@ -18,26 +19,29 @@ fn reindex_op_inputs(op: &Operator, old_index_to_new: &[usize]) -> Operator {
     op
 }
 
-pub(crate) fn regen(
-    dag: &Dag,
-    f: &mut dyn FnMut(usize, &Operator, &mut DagBuilder<'_>) -> Option<OperatorIndex>,
-) -> (Dag, Vec<Vec<OperatorIndex>>) {
+pub(crate) fn regen<F>(dag: &Dag, f: F) -> (Dag, Vec<Vec<OperatorIndex>>)
+where
+    F: Fn(Operator, &DagOperator<'_>, &mut DagBuilder<'_>) -> Option<OperatorIndex>,
+{
     let mut regen_dag = Dag::new();
     let mut old_index_to_new = vec![];
-    for (i, op) in dag.operators.iter().enumerate() {
-        let op = reindex_op_inputs(op, &old_index_to_new);
+    for dag_op in dag.get_operators_iter() {
+        let new_op = reindex_op_inputs(dag_op.operator, &old_index_to_new);
         let size = regen_dag.operators.len();
-        if let Some(op_i) = f(i, &op, &mut regen_dag.builder(dag.circuit_tags[i].clone())) {
+        let mut builder = regen_dag.builder(dag_op.circuit_tag);
+        if let Some(op_i) = f(new_op.clone(), &dag_op, &mut builder) {
             old_index_to_new.push(op_i.0);
         } else {
             assert!(size == regen_dag.operators.len());
             old_index_to_new.push(regen_dag.len());
-            regen_dag.operators.push(op.clone());
-            regen_dag.out_precisions.push(dag.out_precisions[i]);
-            regen_dag.out_shapes.push(dag.out_shapes[i].clone());
-            regen_dag.output_state.push(dag.output_state[i]);
-            regen_dag.circuit_tags.push(dag.circuit_tags[i].clone());
-            op.get_inputs_iter()
+            regen_dag.operators.push(new_op.clone());
+            regen_dag.out_precisions.push(*dag_op.precision);
+            regen_dag.out_shapes.push(dag_op.shape.to_owned());
+            regen_dag.output_state.push(*dag_op.output_state);
+            regen_dag.circuit_tags.push(dag_op.circuit_tag.to_owned());
+            regen_dag.locations.push(dag_op.location.to_owned());
+            new_op
+                .get_inputs_iter()
                 .for_each(|n| regen_dag.output_state[n.0].transition_use());
         }
     }
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/dag/rewrite/round.rs b/compilers/concrete-optimizer/concrete-optimizer/src/dag/rewrite/round.rs
index 92b40d85f..0f8cade8c 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/dag/rewrite/round.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/dag/rewrite/round.rs
@@ -1,22 +1,26 @@
 use crate::dag::operator::{Operator, OperatorIndex};
-use crate::dag::unparametrized::{Dag, DagBuilder};
+use crate::dag::unparametrized::{Dag, DagBuilder, DagOperator};
 
 use super::regen::regen;
 
-fn regen_round(_: usize, op: &Operator, dag: &mut DagBuilder<'_>) -> Option<OperatorIndex> {
-    match *op {
+fn regen_round(
+    op: Operator,
+    dag_op: &DagOperator<'_>,
+    dag_builder: &mut DagBuilder<'_>,
+) -> Option<OperatorIndex> {
+    match op {
         Operator::Round {
             input,
             out_precision,
-        } => Some(dag.add_expanded_round(input, out_precision)),
+        } => Some(dag_builder.add_expanded_round(input, out_precision, dag_op.location.to_owned())),
         _ => None,
     }
 }
 
 pub(crate) fn expand_round(dag: &Dag) -> Dag {
-    regen(dag, &mut regen_round).0
+    regen(dag, regen_round).0
 }
 
 pub(crate) fn expand_round_and_index_map(dag: &Dag) -> (Dag, Vec<Vec<OperatorIndex>>) {
-    regen(dag, &mut regen_round)
+    regen(dag, regen_round)
 }
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/dag/unparametrized.rs b/compilers/concrete-optimizer/concrete-optimizer/src/dag/unparametrized.rs
index cffabfff3..a59e0bd4c 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/dag/unparametrized.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/dag/unparametrized.rs
@@ -1,12 +1,16 @@
 use crate::dag::operator::{
     FunctionTable, LevelledComplexity, Operator, OperatorIndex, Precision, Shape, Weights,
 };
+use crate::optimization::dag::multi_parameters::partition_cut::ExternalPartition;
 use std::{
     collections::{HashMap, HashSet},
     fmt,
 };
 
-use super::operator::dot_kind::{dot_kind, DotKind};
+use super::operator::{
+    dot_kind::{dot_kind, DotKind},
+    Location,
+};
 
 /// The name of the default. Used when adding operations directly on the dag instead of via a
 /// builder.
@@ -63,6 +67,7 @@ pub struct DagOperator<'dag> {
     pub precision: &'dag Precision,
     pub output_state: &'dag OutputState,
     pub circuit_tag: &'dag String,
+    pub location: &'dag Location,
 }
 
 impl<'dag> DagOperator<'dag> {
@@ -98,6 +103,15 @@ impl<'dag> DagCircuit<'dag> {
         self.ids.iter().map(|id| self.dag.get_operator(*id))
     }
 
+    /// Try to return an operator from its index. Returns `None` if the operator is not in the circuit.
+    pub fn try_get_operator(&self, id: OperatorIndex) -> Option<DagOperator<'dag>> {
+        if self.ids.contains(&id) {
+            Some(self.dag.get_operator(id))
+        } else {
+            None
+        }
+    }
+
     /// Returns an iterator over the circuit's input operators.
     #[allow(unused)]
     pub fn get_input_operators_iter(&self) -> impl Iterator<Item = DagOperator<'dag>> + '_ {
@@ -130,7 +144,7 @@ pub struct DagBuilder<'dag> {
 }
 
 impl<'dag> DagBuilder<'dag> {
-    fn add_operator(&mut self, operator: Operator) -> OperatorIndex {
+    fn add_operator(&mut self, operator: Operator, location: Location) -> OperatorIndex {
         debug_assert!(operator
             .get_inputs_iter()
             .all(|id| self.dag.circuit_tags[id.0] == self.circuit));
@@ -145,6 +159,7 @@ impl<'dag> DagBuilder<'dag> {
         self.dag.operators.push(operator);
         self.dag.output_state.push(OutputState::new());
         self.dag.circuit_tags.push(self.circuit.clone());
+        self.dag.locations.push(location);
         OperatorIndex(i)
     }
 
@@ -152,12 +167,16 @@ impl<'dag> DagBuilder<'dag> {
         &mut self,
         out_precision: Precision,
         out_shape: impl Into<Shape>,
+        location: Location,
     ) -> OperatorIndex {
         let out_shape = out_shape.into();
-        self.add_operator(Operator::Input {
-            out_precision,
-            out_shape,
-        })
+        self.add_operator(
+            Operator::Input {
+                out_precision,
+                out_shape,
+            },
+            location,
+        )
     }
 
     pub fn add_lut(
@@ -165,87 +184,131 @@ impl<'dag> DagBuilder<'dag> {
         input: OperatorIndex,
         table: FunctionTable,
         out_precision: Precision,
+        location: Location,
     ) -> OperatorIndex {
-        self.add_operator(Operator::Lut {
-            input,
-            table,
-            out_precision,
-        })
+        self.add_operator(
+            Operator::Lut {
+                input,
+                table,
+                out_precision,
+            },
+            location,
+        )
     }
 
     pub fn add_dot(
         &mut self,
         inputs: impl Into<Vec<OperatorIndex>>,
         weights: impl Into<Weights>,
+        location: Location,
     ) -> OperatorIndex {
         let inputs = inputs.into();
         let weights = weights.into();
         // We detect the kind of dot to simplify matching later on.
         let nb_inputs = inputs.len() as u64;
         let input_shape = self.dag.get_operator(inputs[0]).shape;
-        self.add_operator(Operator::Dot {
-            inputs,
-            kind: dot_kind(nb_inputs, input_shape, &weights),
-            weights,
-        })
+        self.add_operator(
+            Operator::Dot {
+                inputs,
+                kind: dot_kind(nb_inputs, input_shape, &weights),
+                weights,
+            },
+            location,
+        )
     }
 
     pub fn add_levelled_op(
         &mut self,
         inputs: impl Into<Vec<OperatorIndex>>,
         complexity: LevelledComplexity,
-        manp: f64,
+        weights: impl Into<Vec<f64>>,
         out_shape: impl Into<Shape>,
         comment: impl Into<String>,
+        location: Location,
     ) -> OperatorIndex {
         let inputs = inputs.into();
         let out_shape = out_shape.into();
         let comment = comment.into();
+        let weights = weights.into();
+        assert_eq!(weights.len(), inputs.len());
         let op = Operator::LevelledOp {
             inputs,
             complexity,
-            manp,
+            weights,
             out_shape,
             comment,
         };
-        self.add_operator(op)
+        self.add_operator(op, location)
     }
 
     pub fn add_unsafe_cast(
         &mut self,
         input: OperatorIndex,
         out_precision: Precision,
+        location: Location,
     ) -> OperatorIndex {
         let input_precision = self.dag.out_precisions[input.0];
         if input_precision == out_precision {
             return input;
         }
-        self.add_operator(Operator::UnsafeCast {
-            input,
-            out_precision,
-        })
+        self.add_operator(
+            Operator::UnsafeCast {
+                input,
+                out_precision,
+            },
+            location,
+        )
+    }
+
+    pub fn add_change_partition(
+        &mut self,
+        input: OperatorIndex,
+        src_partition: Option<ExternalPartition>,
+        dst_partition: Option<ExternalPartition>,
+        location: Location,
+    ) -> OperatorIndex {
+        assert!(
+            src_partition.is_some() || dst_partition.is_some(),
+            "change_partition: src or dest partition need to be set"
+        );
+        self.add_operator(
+            Operator::ChangePartition {
+                input,
+                src_partition,
+                dst_partition,
+            },
+            location,
+        )
     }
 
     pub fn add_round_op(
         &mut self,
         input: OperatorIndex,
         rounded_precision: Precision,
+        location: Location,
     ) -> OperatorIndex {
         let in_precision = self.dag.out_precisions[input.0];
         assert!(rounded_precision <= in_precision);
-        self.add_operator(Operator::Round {
-            input,
-            out_precision: rounded_precision,
-        })
+        self.add_operator(
+            Operator::Round {
+                input,
+                out_precision: rounded_precision,
+            },
+            location,
+        )
     }
 
-    fn add_shift_left_lsb_to_msb_no_padding(&mut self, input: OperatorIndex) -> OperatorIndex {
+    fn add_shift_left_lsb_to_msb_no_padding(
+        &mut self,
+        input: OperatorIndex,
+        location: Location,
+    ) -> OperatorIndex {
         // Convert any input to simple 1bit msb replacing the padding
         // For now encoding is not explicit, so 1 bit content without padding <=> 0 bit content with padding.
         let in_precision = self.dag.out_precisions[input.0];
         let shift_factor = Weights::number(1 << (in_precision as i64));
-        let lsb_as_msb = self.add_dot([input], shift_factor);
-        self.add_unsafe_cast(lsb_as_msb, 0 as Precision)
+        let lsb_as_msb = self.add_dot([input], shift_factor, location.clone());
+        self.add_unsafe_cast(lsb_as_msb, 0 as Precision, location)
     }
 
     fn add_lut_1bit_no_padding(
@@ -253,46 +316,57 @@ impl<'dag> DagBuilder<'dag> {
         input: OperatorIndex,
         table: FunctionTable,
         out_precision: Precision,
+        location: Location,
     ) -> OperatorIndex {
         // For now encoding is not explicit, so 1 bit content without padding <=> 0 bit content with padding.
         let in_precision = self.dag.out_precisions[input.0];
         assert!(in_precision == 0);
         // An add after with a clear constant is skipped here as it doesn't change noise handling.
-        self.add_lut(input, table, out_precision)
+        self.add_lut(input, table, out_precision, location)
     }
 
     fn add_shift_right_msb_no_padding_to_lsb(
         &mut self,
         input: OperatorIndex,
         out_precision: Precision,
+        location: Location,
     ) -> OperatorIndex {
         // Convert simple 1 bit msb to a nbit with zero padding
         let to_nbits_padded = FunctionTable::UNKWOWN;
-        self.add_lut_1bit_no_padding(input, to_nbits_padded, out_precision)
+        self.add_lut_1bit_no_padding(input, to_nbits_padded, out_precision, location)
     }
 
-    fn add_isolate_lowest_bit(&mut self, input: OperatorIndex) -> OperatorIndex {
+    fn add_isolate_lowest_bit(
+        &mut self,
+        input: OperatorIndex,
+        location: Location,
+    ) -> OperatorIndex {
         // The lowest bit is converted to a ciphertext of same precision as input.
         // Introduce a pbs of input precision but this precision is only used on 1 levelled op and converted to lower precision
         // Noise is reduced by a pbs.
         let out_precision = self.dag.out_precisions[input.0];
-        let lsb_as_msb = self.add_shift_left_lsb_to_msb_no_padding(input);
-        self.add_shift_right_msb_no_padding_to_lsb(lsb_as_msb, out_precision)
+        let lsb_as_msb = self.add_shift_left_lsb_to_msb_no_padding(input, location.clone());
+        self.add_shift_right_msb_no_padding_to_lsb(lsb_as_msb, out_precision, location)
     }
 
-    pub fn add_truncate_1_bit(&mut self, input: OperatorIndex) -> OperatorIndex {
+    pub fn add_truncate_1_bit(
+        &mut self,
+        input: OperatorIndex,
+        location: Location,
+    ) -> OperatorIndex {
         // Reset a bit.
         // ex: 10110 is truncated to 1011, 10111 is truncated to 1011
         let in_precision = self.dag.out_precisions[input.0];
-        let lowest_bit = self.add_isolate_lowest_bit(input);
-        let bit_cleared = self.add_dot([input, lowest_bit], [1, -1]);
-        self.add_unsafe_cast(bit_cleared, in_precision - 1)
+        let lowest_bit = self.add_isolate_lowest_bit(input, location.clone());
+        let bit_cleared = self.add_dot([input, lowest_bit], [1, -1], location.clone());
+        self.add_unsafe_cast(bit_cleared, in_precision - 1, location)
     }
 
     pub fn add_expanded_round(
         &mut self,
         input: OperatorIndex,
         rounded_precision: Precision,
+        location: Location,
     ) -> OperatorIndex {
         // Round such that the output has precision out_precision.
         // We round by adding 2**(removed_precision - 1) to the last remaining bit to clear (this step is a no-op).
@@ -310,7 +384,7 @@ impl<'dag> DagBuilder<'dag> {
         // The rounded is in high precision with garbage lowest bits
         let bits_to_truncate = in_precision - rounded_precision;
         for _ in 1..=bits_to_truncate as i64 {
-            rounded = self.add_truncate_1_bit(rounded);
+            rounded = self.add_truncate_1_bit(rounded, location.clone());
         }
         rounded
     }
@@ -321,10 +395,11 @@ impl<'dag> DagBuilder<'dag> {
         table: FunctionTable,
         rounded_precision: Precision,
         out_precision: Precision,
+        location: Location,
     ) -> OperatorIndex {
         // note: this is a simplified graph, some constant additions are missing without consequence on crypto parameter choice.
-        let rounded = self.add_expanded_round(input, rounded_precision);
-        self.add_lut(rounded, table, out_precision)
+        let rounded = self.add_expanded_round(input, rounded_precision, location.clone());
+        self.add_lut(rounded, table, out_precision, location)
     }
 
     pub fn add_rounded_lut(
@@ -333,9 +408,10 @@ impl<'dag> DagBuilder<'dag> {
         table: FunctionTable,
         rounded_precision: Precision,
         out_precision: Precision,
+        location: Location,
     ) -> OperatorIndex {
-        let rounded = self.add_round_op(input, rounded_precision);
-        self.add_lut(rounded, table, out_precision)
+        let rounded = self.add_round_op(input, rounded_precision, location.clone());
+        self.add_lut(rounded, table, out_precision, location)
     }
 
     /// Marks an operator as being an output of the circuit.
@@ -362,7 +438,8 @@ impl<'dag> DagBuilder<'dag> {
             }
             Operator::Lut { input, .. }
             | Operator::UnsafeCast { input, .. }
-            | Operator::Round { input, .. } => self.dag.out_shapes[input.0].clone(),
+            | Operator::Round { input, .. }
+            | Operator::ChangePartition { input, .. } => self.dag.out_shapes[input.0].clone(),
             Operator::Dot {
                 kind: DotKind::Simple | DotKind::Tensor | DotKind::CompatibleTensor,
                 ..
@@ -397,6 +474,7 @@ impl<'dag> DagBuilder<'dag> {
             Operator::Dot { inputs, .. } | Operator::LevelledOp { inputs, .. } => {
                 self.dag.out_precisions[inputs[0].0]
             }
+            Operator::ChangePartition { input, .. } => self.dag.out_precisions[input.0],
         }
     }
 }
@@ -461,6 +539,8 @@ pub struct Dag {
     pub(crate) output_state: Vec<OutputState>,
     // Collect the circuit the operators are associated with
     pub(crate) circuit_tags: Vec<String>,
+    // Collect the operator locations
+    pub(crate) locations: Vec<Location>,
     // Composition rules
     pub(crate) composition: CompositionRules,
 }
@@ -489,6 +569,7 @@ impl Dag {
             out_precisions: vec![],
             output_state: vec![],
             circuit_tags: vec![],
+            locations: vec![],
             composition: CompositionRules::default(),
         }
     }
@@ -507,7 +588,7 @@ impl Dag {
         out_shape: impl Into<Shape>,
     ) -> OperatorIndex {
         self.builder(DEFAULT_CIRCUIT)
-            .add_input(out_precision, out_shape)
+            .add_input(out_precision, out_shape, Location::Unknown)
     }
 
     pub fn add_lut(
@@ -517,7 +598,21 @@ impl Dag {
         out_precision: Precision,
     ) -> OperatorIndex {
         self.builder(DEFAULT_CIRCUIT)
-            .add_lut(input, table, out_precision)
+            .add_lut(input, table, out_precision, Location::Unknown)
+    }
+
+    pub fn add_change_partition(
+        &mut self,
+        input: OperatorIndex,
+        src_partition: Option<ExternalPartition>,
+        dst_partition: Option<ExternalPartition>,
+    ) -> OperatorIndex {
+        self.builder(DEFAULT_CIRCUIT).add_change_partition(
+            input,
+            src_partition,
+            dst_partition,
+            Location::Unknown,
+        )
     }
 
     pub fn add_dot(
@@ -525,19 +620,26 @@ impl Dag {
         inputs: impl Into<Vec<OperatorIndex>>,
         weights: impl Into<Weights>,
     ) -> OperatorIndex {
-        self.builder(DEFAULT_CIRCUIT).add_dot(inputs, weights)
+        self.builder(DEFAULT_CIRCUIT)
+            .add_dot(inputs, weights, Location::Unknown)
     }
 
     pub fn add_levelled_op(
         &mut self,
         inputs: impl Into<Vec<OperatorIndex>>,
         complexity: LevelledComplexity,
-        manp: f64,
+        weights: impl Into<Vec<f64>>,
         out_shape: impl Into<Shape>,
         comment: impl Into<String>,
     ) -> OperatorIndex {
-        self.builder(DEFAULT_CIRCUIT)
-            .add_levelled_op(inputs, complexity, manp, out_shape, comment)
+        self.builder(DEFAULT_CIRCUIT).add_levelled_op(
+            inputs,
+            complexity,
+            weights,
+            out_shape,
+            comment,
+            Location::Unknown,
+        )
     }
 
     pub fn add_unsafe_cast(
@@ -546,7 +648,7 @@ impl Dag {
         out_precision: Precision,
     ) -> OperatorIndex {
         self.builder(DEFAULT_CIRCUIT)
-            .add_unsafe_cast(input, out_precision)
+            .add_unsafe_cast(input, out_precision, Location::Unknown)
     }
 
     pub fn add_round_op(
@@ -555,13 +657,13 @@ impl Dag {
         rounded_precision: Precision,
     ) -> OperatorIndex {
         self.builder(DEFAULT_CIRCUIT)
-            .add_round_op(input, rounded_precision)
+            .add_round_op(input, rounded_precision, Location::Unknown)
     }
 
     #[allow(unused)]
     fn add_shift_left_lsb_to_msb_no_padding(&mut self, input: OperatorIndex) -> OperatorIndex {
         self.builder(DEFAULT_CIRCUIT)
-            .add_shift_left_lsb_to_msb_no_padding(input)
+            .add_shift_left_lsb_to_msb_no_padding(input, Location::Unknown)
     }
 
     #[allow(unused)]
@@ -571,8 +673,12 @@ impl Dag {
         table: FunctionTable,
         out_precision: Precision,
     ) -> OperatorIndex {
-        self.builder(DEFAULT_CIRCUIT)
-            .add_lut_1bit_no_padding(input, table, out_precision)
+        self.builder(DEFAULT_CIRCUIT).add_lut_1bit_no_padding(
+            input,
+            table,
+            out_precision,
+            Location::Unknown,
+        )
     }
 
     #[allow(unused)]
@@ -582,16 +688,18 @@ impl Dag {
         out_precision: Precision,
     ) -> OperatorIndex {
         self.builder(DEFAULT_CIRCUIT)
-            .add_shift_right_msb_no_padding_to_lsb(input, out_precision)
+            .add_shift_right_msb_no_padding_to_lsb(input, out_precision, Location::Unknown)
     }
 
     #[allow(unused)]
     fn add_isolate_lowest_bit(&mut self, input: OperatorIndex) -> OperatorIndex {
-        self.builder(DEFAULT_CIRCUIT).add_isolate_lowest_bit(input)
+        self.builder(DEFAULT_CIRCUIT)
+            .add_isolate_lowest_bit(input, Location::Unknown)
     }
 
     pub fn add_truncate_1_bit(&mut self, input: OperatorIndex) -> OperatorIndex {
-        self.builder(DEFAULT_CIRCUIT).add_truncate_1_bit(input)
+        self.builder(DEFAULT_CIRCUIT)
+            .add_truncate_1_bit(input, Location::Unknown)
     }
 
     pub fn add_expanded_round(
@@ -599,8 +707,11 @@ impl Dag {
         input: OperatorIndex,
         rounded_precision: Precision,
     ) -> OperatorIndex {
-        self.builder(DEFAULT_CIRCUIT)
-            .add_expanded_round(input, rounded_precision)
+        self.builder(DEFAULT_CIRCUIT).add_expanded_round(
+            input,
+            rounded_precision,
+            Location::Unknown,
+        )
     }
 
     pub fn add_expanded_rounded_lut(
@@ -615,6 +726,7 @@ impl Dag {
             table,
             rounded_precision,
             out_precision,
+            Location::Unknown,
         )
     }
 
@@ -630,6 +742,7 @@ impl Dag {
             table,
             rounded_precision,
             out_precision,
+            Location::Unknown,
         )
     }
 
@@ -730,6 +843,7 @@ impl Dag {
             precision: self.out_precisions.get(id.0).unwrap(),
             output_state: self.output_state.get(id.0).unwrap(),
             circuit_tag: self.circuit_tags.get(id.0).unwrap(),
+            location: self.locations.get(id.0).unwrap(),
         }
     }
 
@@ -758,16 +872,28 @@ impl Dag {
 
 #[cfg(test)]
 mod tests {
+    use crate::{
+        optimization::dag::multi_parameters::optimize::MacroParameters, parameters::GlweParameters,
+    };
+
     use super::*;
 
+    const DUMMY_MACRO_PARAM: MacroParameters = MacroParameters {
+        glwe_params: GlweParameters {
+            log2_polynomial_size: 0,
+            glwe_dimension: 0,
+        },
+        internal_dim: 0,
+    };
+
     #[test]
     fn output_marking() {
         let mut graph = Dag::new();
         let mut builder = graph.builder("main1");
-        let a = builder.add_input(1, Shape::number());
-        let b = builder.add_input(1, Shape::number());
+        let a = builder.add_input(1, Shape::number(), Location::Unknown);
+        let b = builder.add_input(1, Shape::number(), Location::Unknown);
         builder.tag_operator_as_output(b);
-        let _ = builder.add_dot([a, b], [1, 1]);
+        let _ = builder.add_dot([a, b], [1, 1], Location::Unknown);
         assert!(graph.get_operator(b).is_output());
         assert!(!graph.get_operator(a).is_output());
     }
@@ -776,16 +902,25 @@ mod tests {
     #[allow(clippy::many_single_char_names)]
     fn graph_builder() {
         let mut graph = Dag::new();
+        let tfhers_part = ExternalPartition {
+            name: String::from("tfhers"),
+            macro_params: DUMMY_MACRO_PARAM,
+            max_variance: 0.0_f64,
+            variance: 0.0_f64,
+        };
         let mut builder = graph.builder("main1");
-        let a = builder.add_input(1, Shape::number());
-        let b = builder.add_input(1, Shape::number());
-        let c = builder.add_dot([a, b], [1, 1]);
-        let _d = builder.add_lut(c, FunctionTable::UNKWOWN, 1);
+        let a = builder.add_input(1, Shape::number(), Location::Unknown);
+        let b = builder.add_input(1, Shape::number(), Location::Unknown);
+        let c = builder.add_dot([a, b], [1, 1], Location::Unknown);
+        let d = builder.add_lut(c, FunctionTable::UNKWOWN, 1, Location::Unknown);
+        let _d =
+            builder.add_change_partition(d, Some(tfhers_part.clone()), None, Location::Unknown);
         let mut builder = graph.builder("main2");
-        let e = builder.add_input(2, Shape::number());
-        let f = builder.add_input(2, Shape::number());
-        let g = builder.add_dot([e, f], [2, 2]);
-        let _h = builder.add_lut(g, FunctionTable::UNKWOWN, 2);
+        let e = builder.add_input(2, Shape::number(), Location::Unknown);
+        let f = builder.add_input(2, Shape::number(), Location::Unknown);
+        let g = builder.add_dot([e, f], [2, 2], Location::Unknown);
+        let h = builder.add_lut(g, FunctionTable::UNKWOWN, 2, Location::Unknown);
+        let _h = builder.add_change_partition(h, None, Some(tfhers_part), Location::Unknown);
         graph.tag_operator_as_output(c);
     }
 
@@ -793,22 +928,44 @@ mod tests {
     fn graph_creation() {
         let mut graph = Dag::new();
         let mut builder = graph.builder("_");
-        let input1 = builder.add_input(1, Shape::number());
-        let input2 = builder.add_input(2, Shape::number());
+        let input1 = builder.add_input(1, Shape::number(), Location::Unknown);
+        let input2 = builder.add_input(2, Shape::number(), Location::Unknown);
 
         let cpx_add = LevelledComplexity::ADDITION;
-        let sum1 = builder.add_levelled_op([input1, input2], cpx_add, 1.0, Shape::number(), "sum");
+        let sum1 = builder.add_levelled_op(
+            [input1, input2],
+            cpx_add,
+            [1.0, 1.0],
+            Shape::number(),
+            "sum",
+            Location::Unknown,
+        );
 
-        let lut1 = builder.add_lut(sum1, FunctionTable::UNKWOWN, 1);
+        let lut1 = builder.add_lut(sum1, FunctionTable::UNKWOWN, 1, Location::Unknown);
 
-        let concat =
-            builder.add_levelled_op([input1, lut1], cpx_add, 1.0, Shape::vector(2), "concat");
+        let concat = builder.add_levelled_op(
+            [input1, lut1],
+            cpx_add,
+            [1.0, 1.0],
+            Shape::vector(2),
+            "concat",
+            Location::Unknown,
+        );
 
-        let dot = builder.add_dot([concat], [1, 2]);
+        let dot = builder.add_dot([concat], [1, 2], Location::Unknown);
 
-        let lut2 = builder.add_lut(dot, FunctionTable::UNKWOWN, 2);
+        let lut2 = builder.add_lut(dot, FunctionTable::UNKWOWN, 2, Location::Unknown);
 
-        let ops_index = [input1, input2, sum1, lut1, concat, dot, lut2];
+        let tfhers_part = ExternalPartition {
+            name: String::from("tfhers"),
+            macro_params: DUMMY_MACRO_PARAM,
+            max_variance: 0.0_f64,
+            variance: 0.0_f64,
+        };
+        let change_part =
+            builder.add_change_partition(lut2, Some(tfhers_part.clone()), None, Location::Unknown);
+
+        let ops_index = [input1, input2, sum1, lut1, concat, dot, lut2, change_part];
         for (expected_i, op_index) in ops_index.iter().enumerate() {
             assert_eq!(expected_i, op_index.0);
         }
@@ -827,7 +984,7 @@ mod tests {
                 Operator::LevelledOp {
                     inputs: vec![input1, input2],
                     complexity: cpx_add,
-                    manp: 1.0,
+                    weights: vec![1.0, 1.0],
                     out_shape: Shape::number(),
                     comment: "sum".to_string(),
                 },
@@ -839,7 +996,7 @@ mod tests {
                 Operator::LevelledOp {
                     inputs: vec![input1, lut1],
                     complexity: cpx_add,
-                    manp: 1.0,
+                    weights: vec![1.0, 1.0],
                     out_shape: Shape::vector(2),
                     comment: "concat".to_string(),
                 },
@@ -855,6 +1012,11 @@ mod tests {
                     input: dot,
                     table: FunctionTable::UNKWOWN,
                     out_precision: 2,
+                },
+                Operator::ChangePartition {
+                    input: lut2,
+                    src_partition: Some(tfhers_part.clone()),
+                    dst_partition: None
                 }
             ]
         );
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/lib.rs b/compilers/concrete-optimizer/concrete-optimizer/src/lib.rs
index a86e3c0e8..f0fbc0b0d 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/lib.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/lib.rs
@@ -1,19 +1,5 @@
-#![warn(clippy::nursery)]
-#![warn(clippy::pedantic)]
 #![warn(clippy::style)]
-#![allow(clippy::cast_lossless)]
-#![allow(clippy::cast_precision_loss)] // u64 to f64
-#![allow(clippy::cast_possible_truncation)] // u64 to usize
 #![allow(clippy::question_mark)]
-#![allow(clippy::match_wildcard_for_single_variants)]
-#![allow(clippy::manual_range_contains)]
-#![allow(clippy::missing_panics_doc)]
-#![allow(clippy::missing_const_for_fn)]
-#![allow(clippy::module_name_repetitions)]
-#![allow(clippy::must_use_candidate)]
-#![allow(clippy::return_self_not_must_use)]
-#![allow(clippy::similar_names)]
-#![allow(clippy::suboptimal_flops)]
 #![allow(clippy::too_many_arguments)]
 #![warn(unused_results)]
 
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/analyze.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/analyze.rs
index 9d9d5207b..6e7662edf 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/analyze.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/analyze.rs
@@ -20,7 +20,7 @@ use super::partitions::Partitions;
 use super::variance_constraint::VarianceConstraint;
 use crate::utils::square;
 
-const MAX_FORWARDING: u16 = 1000;
+const MAX_FORWARDING: u16 = 500;
 
 #[derive(Debug, Clone)]
 pub struct PartitionedDag {
@@ -121,6 +121,7 @@ pub struct VariancedDag {
     pub(crate) dag: Dag,
     pub(crate) partitions: Partitions,
     pub(crate) variances: Variances,
+    pub(crate) external_variance_constraints: Vec<VarianceConstraint>,
 }
 
 impl VariancedDag {
@@ -133,9 +134,11 @@ impl VariancedDag {
             dag,
             partitions,
             variances,
+            external_variance_constraints: vec![],
         };
 
         // We forward the noise once to verify the composability.
+        varianced.apply_external_partition_input_variance();
         let _ = varianced.forward_noise();
         varianced.check_composability()?;
         varianced.apply_composition_rules();
@@ -145,6 +148,8 @@ impl VariancedDag {
             // The noise gets computed from inputs down to outputs.
             if varianced.forward_noise() {
                 // Noise settled, we return the varianced dag.
+                varianced.collect_external_input_constraint();
+                varianced.collect_external_output_constraint();
                 return Ok(varianced);
             }
             // The noise of the inputs gets updated following the composition rules
@@ -181,6 +186,106 @@ impl VariancedDag {
         }
     }
 
+    fn apply_external_partition_input_variance(&mut self) {
+        let p_cut = self.partitions.p_cut.clone();
+        for (i, op) in self.dag.operators.clone().iter().enumerate() {
+            if let Operator::Input { .. } = op {
+                let partition_index = self.partitions.instrs_partition[i].instruction_partition;
+                if p_cut.is_external_partition(&partition_index) {
+                    let partitions = self.partitions.clone();
+                    let external_partition =
+                        &p_cut.external_partitions[p_cut.external_partition_index(partition_index)];
+                    let max_variance = external_partition.max_variance;
+                    let variance = external_partition.variance;
+
+                    let mut input = self.get_operator_mut(OperatorIndex(i));
+                    let mut variances = input.variance().clone();
+                    variances.vars[partition_index.0] = SymbolicVariance::from_external_partition(
+                        partitions.nb_partitions,
+                        partition_index,
+                        max_variance / variance,
+                    );
+                    *(input.variance_mut()) = variances;
+                }
+            }
+        }
+    }
+
+    fn collect_external_input_constraint(&mut self) {
+        let p_cut = &self.partitions.p_cut;
+        for (i, op) in self.dag.operators.clone().iter().enumerate() {
+            if let Operator::Input {
+                out_precision,
+                out_shape,
+            } = op
+            {
+                let partition_index = self.partitions.instrs_partition[i].instruction_partition;
+                if !p_cut.is_external_partition(&partition_index) {
+                    continue;
+                }
+
+                let max_variance = p_cut.external_partitions
+                    [p_cut.external_partition_index(partition_index)]
+                .max_variance;
+
+                let variances = &self.get_operator(OperatorIndex(i)).variance().vars.clone();
+                for (i, variance) in variances.iter().enumerate() {
+                    if variance.coeffs.is_nan() {
+                        assert!(i != partition_index.0);
+                        continue;
+                    }
+                    let constraint = VarianceConstraint {
+                        precision: *out_precision,
+                        partition: partition_index,
+                        nb_constraints: out_shape.flat_size(),
+                        safe_variance_bound: max_variance,
+                        variance: variance.clone(),
+                    };
+                    self.external_variance_constraints.push(constraint);
+                }
+            }
+        }
+    }
+
+    fn collect_external_output_constraint(&mut self) {
+        let p_cut = self.partitions.p_cut.clone();
+        for dag_op in self.dag.get_output_operators_iter() {
+            let DagOperator {
+                id: op_index,
+                shape: out_shape,
+                precision: out_precision,
+                ..
+            } = dag_op;
+            let optional_partition_index = p_cut.partition(&self.dag, op_index);
+            if optional_partition_index.is_none() {
+                continue;
+            }
+            let partition_index = optional_partition_index.unwrap();
+            if !p_cut.is_external_partition(&partition_index) {
+                continue;
+            }
+            let max_variance = p_cut.external_partitions
+                [p_cut.external_partition_index(partition_index)]
+            .max_variance;
+
+            let variances = &self.get_operator(op_index).variance().vars.clone();
+            for (i, variance) in variances.iter().enumerate() {
+                if variance.coeffs.is_nan() {
+                    assert!(i != partition_index.0);
+                    continue;
+                }
+                let constraint = VarianceConstraint {
+                    precision: *out_precision,
+                    partition: partition_index,
+                    nb_constraints: out_shape.flat_size(),
+                    safe_variance_bound: max_variance,
+                    variance: variance.clone(),
+                };
+                self.external_variance_constraints.push(constraint);
+            }
+        }
+    }
+
     /// Propagates the noise downward in the graph.
     fn forward_noise(&mut self) -> bool {
         // We save the old variance to compute the diff at the end.
@@ -194,7 +299,6 @@ impl VariancedDag {
             if operator.operator().is_input() {
                 continue;
             }
-            let max_var = |acc: SymbolicVariance, input: SymbolicVariance| acc.max(&input);
             // Operator variance will be used to override the noise
             let mut operator_variance = OperatorVariance::nan(nb_partitions);
             // We first compute the noise in the partition of the operator
@@ -207,14 +311,13 @@ impl VariancedDag {
                     nb_partitions,
                     operator.partition().instruction_partition,
                 ),
-                Operator::LevelledOp { manp, .. } => {
-                    let max_var = operator
-                        .get_inputs_iter()
-                        .map(|a| a.variance()[operator.partition().instruction_partition].clone())
-                        .reduce(max_var)
-                        .unwrap();
-                    max_var.after_levelled_op(*manp)
-                }
+                Operator::LevelledOp { weights, .. } => operator
+                    .get_inputs_iter()
+                    .zip(weights)
+                    .fold(SymbolicVariance::ZERO, |acc, (inp, &weight)| {
+                        acc + inp.variance()[operator.partition().instruction_partition].clone()
+                            * square(weight)
+                    }),
                 Operator::Dot {
                     kind: DotKind::CompatibleTensor { .. },
                     ..
@@ -254,7 +357,7 @@ impl VariancedDag {
                         acc + var[operator.partition().instruction_partition].clone()
                             * square(*weight as f64)
                     }),
-                Operator::UnsafeCast { .. } => {
+                Operator::UnsafeCast { .. } | Operator::ChangePartition { .. } => {
                     operator.get_inputs_iter().next().unwrap().variance()
                         [operator.partition().instruction_partition]
                         .clone()
@@ -295,12 +398,13 @@ impl VariancedDag {
             .filter(|op| op.operator().is_output())
             .try_for_each(|op| {
                 let id = op.id;
+                let loc = op.operator().location;
                 op.variance()
                     .check_growing_input_noise()
                     .map_err(|err| match err {
-                        Err::NotComposable(prev) => Err::NotComposable(format!(
-                            "Dag is not composable, because of output {id}: {prev}"
-                        )),
+                        Err::NotComposable(prev) => {
+                            Err::NotComposable(format!("At {loc}: please add `fhe.refresh(...)` to guarantee the function composability.\n{prev}."))
+                        }
                         Err::NoParametersFound => Err::NoParametersFound,
                     })
             })
@@ -344,7 +448,9 @@ pub fn analyze(
     let partitions = partitionning_with_preferred(&dag, &p_cut, default_partition);
     let partitioned_dag = PartitionedDag { dag, partitions };
     let varianced_dag = VariancedDag::try_from_partitioned(partitioned_dag)?;
-    let variance_constraints = collect_all_variance_constraints(&varianced_dag, noise_config);
+    let mut variance_constraints = collect_all_variance_constraints(&varianced_dag, noise_config);
+    // add external variance constraints
+    variance_constraints.extend_from_slice(varianced_dag.external_variance_constraints.as_slice());
     let undominated_variance_constraints =
         VarianceConstraint::remove_dominated(&variance_constraints);
     let operations_count_per_instrs = collect_operations_count(&varianced_dag);
@@ -486,13 +592,15 @@ impl OperatorVariance {
     pub fn check_growing_input_noise(&self) -> Result<()> {
         self.vars
             .iter()
-            .flat_map(|var| {
-                PartitionIndex::range(0, var.nb_partitions()).map(|i| (i, var.coeff_input(i)))
+            .enumerate()
+            .flat_map(|(var_i, var)| {
+                PartitionIndex::range(0, var.nb_partitions())
+                    .map(move |part_i| (var_i, part_i, var.coeff_input(part_i)))
             })
-            .try_for_each(|(partition, coeff)| {
+            .try_for_each(|(var, partition, coeff)| {
                 if !coeff.is_nan() && coeff > 1.0 {
                     Result::Err(Err::NotComposable(format!(
-                        "Partition {partition} has input coefficient {coeff}"
+                        "The noise of the node {var} is contaminated by noise coming straight from the input (partition: {partition}, coeff: {coeff:.2})"
                     )))
                 } else {
                     Ok(())
@@ -559,6 +667,7 @@ fn collect_all_variance_constraints(
         dag,
         partitions,
         variances,
+        ..
     } = dag;
     let mut constraints = vec![];
     for op in dag.get_operators_iter() {
@@ -758,6 +867,23 @@ pub mod tests {
         }
     }
 
+    #[test]
+    #[should_panic(expected = "Forwarding of noise did not reach a fixed point.")]
+    fn test_decreasing_panics() {
+        let mut dag = unparametrized::Dag::new();
+        let inp = dag.add_input(1, Shape::number());
+        let oup = dag.add_levelled_op(
+            [inp],
+            LevelledComplexity::ZERO,
+            [0.5],
+            Shape::number(),
+            "comment",
+        );
+        dag.add_composition(oup, inp);
+        let p_cut = PartitionCut::for_each_precision(&dag);
+        let _ = super::analyze(&dag, &CONFIG, &Some(p_cut), LOW_PRECISION_PARTITION).unwrap();
+    }
+
     #[test]
     fn test_composition_with_nongrowing_inputs_only() {
         let mut dag = unparametrized::Dag::new();
@@ -765,7 +891,7 @@ pub mod tests {
         let oup = dag.add_levelled_op(
             [inp],
             LevelledComplexity::ZERO,
-            1.0,
+            [1.0],
             Shape::number(),
             "comment",
         );
@@ -781,7 +907,7 @@ pub mod tests {
 
     #[test]
     #[should_panic(
-        expected = "called `Result::unwrap()` on an `Err` value: NotComposable(\"Dag is not composable, because of output 1: Partition 0 has input coefficient 1.2100000000000002\")"
+        expected = "called `Result::unwrap()` on an `Err` value: NotComposable(\"At unknown location: please add `fhe.refresh(...)` to guarantee the function composability.\\nThe noise of the node 0 is contaminated by noise coming straight from the input (partition: 0, coeff: 1.21).\")"
     )]
     fn test_composition_with_growing_inputs_panics() {
         let mut dag = unparametrized::Dag::new();
@@ -789,7 +915,7 @@ pub mod tests {
         let oup = dag.add_levelled_op(
             [inp],
             LevelledComplexity::ZERO,
-            1.1,
+            [1.1],
             Shape::number(),
             "comment",
         );
@@ -952,7 +1078,7 @@ pub mod tests {
         let _levelled = dag.add_levelled_op(
             [lut1, input2],
             LevelledComplexity::ZERO,
-            manp,
+            [manp, manp],
             &out_shape,
             "comment",
         );
@@ -1304,6 +1430,6 @@ pub mod tests {
         let p_cut = PartitionCut::from_precisions(&precisions);
         let dag =
             super::analyze(&dag, &CONFIG, &Some(p_cut.clone()), LOW_PRECISION_PARTITION).unwrap();
-        assert!(dag.nb_partitions == p_cut.p_cut.len() + 1);
+        assert!(dag.nb_partitions == p_cut.n_partitions());
     }
 }
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/operations_value.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/operations_value.rs
index e70b21426..7b0b90b26 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/operations_value.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/operations_value.rs
@@ -193,6 +193,15 @@ impl OperationsValue {
         }
     }
 
+    pub fn is_nan(&self) -> bool {
+        for val in self.values.iter() {
+            if !val.is_nan() {
+                return false;
+            }
+        }
+        true
+    }
+
     pub fn input(&mut self, partition: PartitionIndex) -> &mut f64 {
         &mut self.values[self.index.input(partition)]
     }
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/optimize/mod.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/optimize/mod.rs
index c146803ab..a5b218384 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/optimize/mod.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/optimize/mod.rs
@@ -45,7 +45,7 @@ struct PartialMicroParameters {
     complexity: f64,
 }
 
-#[derive(Debug, Copy, Clone, Eq, PartialEq)]
+#[derive(Hash, Debug, Copy, Clone, Eq, PartialEq)]
 pub struct MacroParameters {
     pub glwe_params: GlweParameters,
     pub internal_dim: u64,
@@ -920,6 +920,11 @@ pub fn optimize(
         ciphertext_modulus_log,
     };
 
+    let dag_p_cut = p_cut.as_ref().map_or_else(
+        || PartitionCut::for_each_precision(dag),
+        std::clone::Clone::clone,
+    );
+
     let dag = analyze(dag, &noise_config, p_cut, default_partition)?;
     let kappa =
         error::sigma_scale_of_error_probability(config.maximum_acceptable_error_probability);
@@ -954,11 +959,27 @@ pub fn optimize(
     let mut best_params: Option<Parameters> = None;
     for iter in 0..=10 {
         for partition in PartitionIndex::range(0, nb_partitions).rev() {
+            // reduce search space to the parameters of external partitions
+            let partition_search_space = if dag_p_cut.is_external_partition(&partition) {
+                let external_part =
+                    &dag_p_cut.external_partitions[partition.0 - dag_p_cut.n_internal_partitions()];
+                let mut reduced_search_space = search_space.clone();
+                reduced_search_space.glwe_dimensions =
+                    [external_part.macro_params.glwe_params.glwe_dimension].to_vec();
+                reduced_search_space.glwe_log_polynomial_sizes =
+                    [external_part.macro_params.glwe_params.log2_polynomial_size].to_vec();
+                reduced_search_space.internal_lwe_dimensions =
+                    [external_part.macro_params.internal_dim].to_vec();
+                reduced_search_space
+            } else {
+                search_space.clone()
+            };
+
             let new_params = optimize_macro(
                 security_level,
                 ciphertext_modulus_log,
                 fft_precision,
-                search_space,
+                &partition_search_space,
                 partition,
                 &used_tlu_keyswitch,
                 &used_conversion_keyswitch,
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/optimize/tests.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/optimize/tests.rs
index 1df078e1a..5e532874a 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/optimize/tests.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/optimize/tests.rs
@@ -1,30 +1,17 @@
 #![allow(clippy::float_cmp)]
 
 use once_cell::sync::Lazy;
+use optimization::dag::multi_parameters::partition_cut::ExternalPartition;
 
 use super::*;
 use crate::computing_cost::cpu::CpuComplexity;
-use crate::config;
 use crate::dag::operator::{FunctionTable, LevelledComplexity, Shape};
 use crate::dag::unparametrized;
+use crate::optimization::dag::multi_parameters::partitionning::tests::{
+    get_tfhers_noise_br, SHARED_CACHES, TFHERS_MACRO_PARAMS,
+};
 use crate::optimization::dag::solo_key;
 use crate::optimization::dag::solo_key::optimize::{add_v0_dag, v0_dag};
-use crate::optimization::decomposition;
-
-const CIPHERTEXT_MODULUS_LOG: u32 = 64;
-const FFT_PRECISION: u32 = 53;
-
-static SHARED_CACHES: Lazy<PersistDecompCaches> = Lazy::new(|| {
-    let processing_unit = config::ProcessingUnit::Cpu;
-    decomposition::cache(
-        128,
-        processing_unit,
-        None,
-        true,
-        CIPHERTEXT_MODULUS_LOG,
-        FFT_PRECISION,
-    )
-});
 
 const _4_SIGMA: f64 = 0.000_063_342_483_999_973;
 
@@ -436,7 +423,7 @@ fn optimize_sign_extract() {
     let input1 = dag.add_levelled_op(
         [small_input1],
         complexity,
-        1.0,
+        [1.0],
         Shape::vector(1_000_000),
         "comment",
     );
@@ -489,7 +476,7 @@ fn test_partition_chain(decreasing: bool) {
         let sol = optimize(&dag, &Some(p_cut.clone()), PartitionIndex(0)).unwrap();
         let nb_partitions = sol.macro_params.len();
         assert!(
-            nb_partitions == (p_cut.p_cut.len() + 1),
+            nb_partitions == p_cut.n_partitions(),
             "bad nb partitions {} {p_cut}",
             sol.macro_params.len()
         );
@@ -587,7 +574,7 @@ fn test_chained_partitions_non_feasible_single_params() {
         lut_input = dag.add_levelled_op(
             [lut_input],
             LevelledComplexity::ZERO,
-            noise_factor,
+            [noise_factor],
             Shape::number(),
             "",
         );
@@ -844,10 +831,178 @@ fn test_bug_with_zero_noise() {
     let out_shape = Shape::number();
     let mut dag = unparametrized::Dag::new();
     let v0 = dag.add_input(2, &out_shape);
-    let v1 = dag.add_levelled_op([v0], complexity, 0.0, &out_shape, "comment");
-    let v2 = dag.add_levelled_op([v1], complexity, 1.0, &out_shape, "comment");
+    let v1 = dag.add_levelled_op([v0], complexity, [0.0], &out_shape, "comment");
+    let v2 = dag.add_levelled_op([v1], complexity, [1.0], &out_shape, "comment");
     let v3 = dag.add_unsafe_cast(v2, 1);
     let _ = dag.add_lut(v3, FunctionTable { values: vec![] }, 1);
     let sol = optimize(&dag, &None, PartitionIndex(0));
     assert!(sol.is_some());
 }
+
+#[test]
+fn test_optimize_tfhers_in_out_dot_compute() {
+    let variance = get_tfhers_noise_br();
+    let tfhers_partition = ExternalPartition {
+        name: String::from("tfhers"),
+        macro_params: TFHERS_MACRO_PARAMS,
+        max_variance: variance * 2.0,
+        variance,
+    };
+    let mut dag = unparametrized::Dag::new();
+    let input1 = dag.add_input(16, Shape::number());
+    let change_part1 = dag.add_change_partition(input1, Some(tfhers_partition.clone()), None);
+    let dot = dag.add_dot([change_part1], [2]);
+    _ = dag.add_change_partition(dot, None, Some(tfhers_partition.clone()));
+
+    let sol = optimize(&dag, &None, PartitionIndex(0));
+    assert!(sol.is_some());
+    println!("solution: {:?}", sol.unwrap());
+}
+
+#[test]
+fn test_optimize_tfhers_2lut_compute() {
+    let variance = get_tfhers_noise_br();
+    let tfhers_partition_in = ExternalPartition {
+        name: String::from("tfhers"),
+        macro_params: TFHERS_MACRO_PARAMS,
+        max_variance: variance * 4.0,
+        variance,
+    };
+    let tfhers_partition_out = ExternalPartition {
+        name: String::from("tfhers"),
+        macro_params: TFHERS_MACRO_PARAMS,
+        max_variance: variance * 4.0,
+        variance,
+    };
+    let tfhers_precision = 11;
+    let mut dag = unparametrized::Dag::new();
+    let input = dag.add_input(tfhers_precision, Shape::number());
+    let change_part1 = dag.add_change_partition(input, Some(tfhers_partition_in), None);
+    let lut1 = dag.add_lut(change_part1, FunctionTable::UNKWOWN, 4);
+    let lut2 = dag.add_lut(lut1, FunctionTable::UNKWOWN, tfhers_precision);
+    let _ = dag.add_change_partition(lut2, None, Some(tfhers_partition_out));
+
+    let sol = optimize(&dag, &None, PartitionIndex(0));
+    assert!(sol.is_some());
+}
+
+#[test]
+fn test_optimize_tfhers_different_in_out_2lut_compute() {
+    let variance = get_tfhers_noise_br();
+    let tfhers_partition_in = ExternalPartition {
+        name: String::from("tfhers_in"),
+        macro_params: TFHERS_MACRO_PARAMS,
+        max_variance: variance * 6.0,
+        variance,
+    };
+    let tfhers_partition_out = ExternalPartition {
+        name: String::from("tfhers_out"),
+        macro_params: TFHERS_MACRO_PARAMS,
+        max_variance: variance * 6.0,
+        variance,
+    };
+    let mut dag = unparametrized::Dag::new();
+    let tfhers_precision = 8;
+    let input = dag.add_input(tfhers_precision, Shape::number());
+    let change_part1 = dag.add_change_partition(input, Some(tfhers_partition_in), None);
+    let lut1 = dag.add_lut(change_part1, FunctionTable::UNKWOWN, 4);
+    let lut2 = dag.add_lut(lut1, FunctionTable::UNKWOWN, tfhers_precision);
+    let _ = dag.add_change_partition(lut2, None, Some(tfhers_partition_out));
+
+    let sol = optimize(&dag, &None, PartitionIndex(0));
+    assert!(sol.is_some());
+}
+
+#[test]
+fn test_optimize_tfhers_input_constraints() {
+    let variances = [1.0, 6.14e-14, 2.14e-16];
+    let dag_builder = |variance: f64| -> Dag {
+        let tfhers_partition = ExternalPartition {
+            name: String::from("tfhers"),
+            macro_params: TFHERS_MACRO_PARAMS,
+            max_variance: variance * 4.0,
+            variance,
+        };
+        let mut dag = unparametrized::Dag::new();
+        let tfhers_precision = 4;
+        let input = dag.add_input(tfhers_precision, Shape::number());
+        let change_part1 = dag.add_change_partition(input, Some(tfhers_partition), None);
+        let lut = dag.add_lut(change_part1, FunctionTable::UNKWOWN, tfhers_precision);
+        let out = dag.add_dot([lut], [128]);
+        dag.add_composition(out, input);
+        dag
+    };
+
+    let sol = optimize(&dag_builder(variances[0]), &None, PartitionIndex(0));
+    assert!(sol.is_some());
+    let mut last_complexity = sol.unwrap().complexity;
+    for variance in &variances[1..] {
+        let sol = optimize(&dag_builder(*variance), &None, PartitionIndex(0));
+        assert!(sol.is_some());
+        let complexity = sol.unwrap().complexity;
+        assert!(complexity > last_complexity);
+        last_complexity = complexity;
+    }
+}
+
+#[test]
+fn test_optimize_tfhers_output_constraints() {
+    let variances = [1.0, 6.14e-14, 2.14e-16];
+    let dag_builder = |variance: f64| -> Dag {
+        let tfhers_partition = ExternalPartition {
+            name: String::from("tfhers"),
+            macro_params: TFHERS_MACRO_PARAMS,
+            max_variance: variance * 4.0,
+            variance,
+        };
+        let mut dag = unparametrized::Dag::new();
+        let tfhers_precision = 4;
+        let input = dag.add_input(tfhers_precision, Shape::number());
+        let lut = dag.add_lut(input, FunctionTable::UNKWOWN, tfhers_precision);
+        let dot = dag.add_dot([lut], [128]);
+        let out = dag.add_change_partition(dot, None, Some(tfhers_partition.clone()));
+        dag.add_composition(out, input);
+        dag
+    };
+
+    let sol = optimize(&dag_builder(variances[0]), &None, PartitionIndex(0));
+    assert!(sol.is_some());
+    let mut last_complexity = sol.unwrap().complexity;
+    for variance in &variances[1..] {
+        let sol = optimize(&dag_builder(*variance), &None, PartitionIndex(0));
+        assert!(sol.is_some());
+        let complexity = sol.unwrap().complexity;
+        assert!(complexity > last_complexity);
+        last_complexity = complexity;
+    }
+}
+
+#[test]
+fn test_optimize_tfhers_to_concrete_and_back_example() {
+    let variance = get_tfhers_noise_br();
+    let tfhers_partition = ExternalPartition {
+        name: String::from("tfhers"),
+        macro_params: TFHERS_MACRO_PARAMS,
+        max_variance: variance * 8.0,
+        variance,
+    };
+    let concrete_precision = 8;
+    let msg_width = 2;
+    let carry_width = 2;
+    let tfhers_precision = msg_width + carry_width;
+
+    let mut dag = unparametrized::Dag::new();
+    let input = dag.add_input(
+        tfhers_precision,
+        Shape::vector((concrete_precision / msg_width).into()),
+    );
+    // to concrete
+    let change_part1 = dag.add_change_partition(input, Some(tfhers_partition.clone()), None);
+    let lut1 = dag.add_lut(change_part1, FunctionTable::UNKWOWN, concrete_precision);
+    // from concrete
+    let lut2 = dag.add_lut(lut1, FunctionTable::UNKWOWN, tfhers_precision);
+    let _ = dag.add_change_partition(lut2, None, Some(tfhers_partition.clone()));
+
+    let sol = optimize(&dag, &None, PartitionIndex(0));
+    assert!(sol.is_some());
+}
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partition_cut.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partition_cut.rs
index c3e607bb5..dbd5edc22 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partition_cut.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partition_cut.rs
@@ -9,21 +9,62 @@ use crate::optimization::dag::multi_parameters::partitions::PartitionIndex;
 use crate::optimization::dag::solo_key::analyze::out_variances;
 use crate::optimization::dag::solo_key::symbolic_variance::SymbolicVariance;
 
+use super::optimize::MacroParameters;
+
 const ROUND_INNER_MULTI_PARAMETER: bool = false;
 const ROUND_EXTERNAL_MULTI_PARAMETER: bool = !ROUND_INNER_MULTI_PARAMETER && true;
 
+#[derive(Clone, Debug)]
+pub struct ExternalPartition {
+    pub name: String,
+    pub macro_params: MacroParameters,
+    pub max_variance: f64,
+    pub variance: f64,
+}
+
+impl Eq for ExternalPartition {}
+
+impl PartialEq for ExternalPartition {
+    fn eq(&self, other: &Self) -> bool {
+        self.name == other.name
+            && self.macro_params == other.macro_params
+            && self.max_variance == other.max_variance
+    }
+}
+
+impl std::hash::Hash for ExternalPartition {
+    fn hash<H: std::hash::Hasher>(&self, state: &mut H) {
+        self.name.hash(state);
+        self.macro_params.hash(state);
+    }
+}
+
+impl std::fmt::Display for ExternalPartition {
+    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+        write!(f, "{{ name: {} }}", self.name)?;
+        Ok(())
+    }
+}
+
 // TODO: keep both precisions
 // TODO: rounding lut should have its own partition based on max norm2 and precisions
 #[derive(Clone, Debug)]
 pub struct PartitionCut {
+    // TODO: add name to partitions
+
     // partition0 precision <= p_cut[0] < partition 1 precision <= p_cut[1] ...
     // precision are in the sens of Lut input precision and are sorted
     pub p_cut: Vec<(Precision, f64)>,
 
+    // Whether it has internal partitions or not
+    pub has_internal_partitions: bool,
+
     // # TODO RELATIVE NORM2
     // # HIGHER NORM2 MEANS HIGHER VARIANCE IN CONSTRAINT
     // norm2 * 2 ** (out precision - in precision)
     pub rnorm2: Vec<f64>,
+
+    pub external_partitions: Vec<ExternalPartition>,
 }
 
 impl PartitionCut {
@@ -31,17 +72,63 @@ impl PartitionCut {
         Self {
             p_cut: vec![],
             rnorm2: vec![],
+            external_partitions: vec![],
+            has_internal_partitions: true,
         }
     }
 
+    pub fn n_partitions(&self) -> usize {
+        self.n_internal_partitions() + self.n_external_partitions()
+    }
+
+    pub fn n_internal_partitions(&self) -> usize {
+        self.p_cut.len() + self.has_internal_partitions as usize
+    }
+
+    pub fn n_external_partitions(&self) -> usize {
+        self.external_partitions.len()
+    }
+
+    pub fn external_partition_index(&self, partition: PartitionIndex) -> usize {
+        partition.0 - self.n_internal_partitions()
+    }
+
+    pub fn is_external_partition(&self, partition: &PartitionIndex) -> bool {
+        partition.0 >= self.n_internal_partitions() && partition.0 < self.n_partitions()
+    }
+
+    pub fn is_internal_partition(&self, partition: &PartitionIndex) -> bool {
+        partition.0 < self.n_internal_partitions()
+    }
+
     pub fn from_precisions(precisions: &[Precision]) -> Self {
         let mut precisions: Vec<_> = precisions.to_vec();
+        let has_internal_partitions = !precisions.is_empty();
         precisions.sort_by(|a, b| a.partial_cmp(b).unwrap());
         _ = precisions.pop();
 
         Self {
             p_cut: precisions.iter().map(|p| (*p, f64::MAX)).collect(),
             rnorm2: vec![],
+            external_partitions: vec![],
+            has_internal_partitions,
+        }
+    }
+
+    pub fn from_precisions_and_external_partitions(
+        precisions: &[Precision],
+        external_partitions: &[ExternalPartition],
+    ) -> Self {
+        let mut precisions: Vec<_> = precisions.to_vec();
+        let has_internal_partitions = !precisions.is_empty();
+        precisions.sort_by(|a, b| a.partial_cmp(b).unwrap());
+        _ = precisions.pop();
+
+        Self {
+            p_cut: precisions.iter().map(|p| (*p, f64::MAX)).collect(),
+            rnorm2: vec![],
+            external_partitions: external_partitions.to_vec(),
+            has_internal_partitions,
         }
     }
 
@@ -61,7 +148,7 @@ impl PartitionCut {
         let op = &dag.operators[op_i.0];
         match op {
             Operator::Lut { input, .. } => {
-                assert!(!self.p_cut.is_empty());
+                assert!(self.has_internal_partitions);
                 for (partition, &(precision_cut, norm2_cut)) in self.p_cut.iter().enumerate() {
                     if dag.out_precisions[input.0] <= precision_cut
                         && self.rnorm2(op_i) <= norm2_cut
@@ -71,6 +158,23 @@ impl PartitionCut {
                 }
                 Some(PartitionIndex(self.p_cut.len()))
             }
+            Operator::ChangePartition {
+                src_partition: Some(partition),
+                dst_partition: None,
+                ..
+            }
+            | Operator::ChangePartition {
+                src_partition: None,
+                dst_partition: Some(partition),
+                ..
+            } => {
+                for (i, external_partition) in self.external_partitions.iter().enumerate() {
+                    if partition == external_partition {
+                        return Some(PartitionIndex(self.n_internal_partitions() + i));
+                    }
+                }
+                None
+            }
             _ => None,
         }
     }
@@ -78,15 +182,33 @@ impl PartitionCut {
     pub fn for_each_precision(dag: &unparametrized::Dag) -> Self {
         let (dag, _) = expand_round_and_index_map(dag);
         let mut lut_in_precisions: HashSet<_> = HashSet::default();
+        let mut partitions: HashSet<ExternalPartition> = HashSet::default();
         for op in &dag.operators {
             if let Operator::Lut { input, .. } = op {
                 _ = lut_in_precisions.insert(dag.out_precisions[input.0]);
             }
         }
+        for op in &dag.operators {
+            if let Operator::ChangePartition {
+                src_partition,
+                dst_partition,
+                ..
+            } = op
+            {
+                if let Some(partition) = src_partition {
+                    _ = partitions.insert(partition.clone());
+                }
+                if let Some(partition) = dst_partition {
+                    _ = partitions.insert(partition.clone());
+                }
+            }
+        }
         let precisions: Vec<_> = lut_in_precisions.iter().copied().collect();
-        Self::from_precisions(&precisions)
+        let external_partitions = Vec::from_iter(partitions);
+        Self::from_precisions_and_external_partitions(&precisions, &external_partitions)
     }
 
+    #[allow(clippy::too_many_lines)]
     pub fn maximal_partitionning(original_dag: &unparametrized::Dag) -> Self {
         // Note: only keep one 0-bits, partition as the compiler will not support multi-parameter round
         // partition based on input precision and output log norm2
@@ -103,6 +225,7 @@ impl PartitionCut {
         let out_variances: Vec<SymbolicVariance> = out_variances(&dag);
         let mut noise_origins: Vec<HashSet<usize>> = vec![HashSet::default(); out_variances.len()];
         let mut max_output_norm2 = vec![f64::NAN; out_variances.len()];
+        let mut external_partitions: Vec<ExternalPartition> = vec![];
 
         assert!(out_variances.len() == dag.operators.len());
         // Find input lut log norm2 and lut as origins
@@ -128,6 +251,21 @@ impl PartitionCut {
                     max_output_norm2[op_i] = 1.0; // initial value that can be maxed
                     noise_origins[op_i] = std::iter::once(op_i).collect();
                 }
+                Operator::ChangePartition {
+                    src_partition: Some(partition),
+                    dst_partition: None,
+                    ..
+                }
+                | Operator::ChangePartition {
+                    src_partition: None,
+                    dst_partition: Some(partition),
+                    ..
+                } => {
+                    external_partitions.push(partition.clone());
+                }
+                Operator::ChangePartition { .. } => {
+                    panic!("change_partition not supported when src and dest partition are both set or unset");
+                }
                 // unreachable
                 Operator::Round { .. } => panic!("expand_round failed"),
             }
@@ -181,12 +319,16 @@ impl PartitionCut {
             }
         }
         let mut p_cut: Vec<_> = lut_partition.iter().copied().collect();
+        let has_internal_partitions = !lut_partition.is_empty();
         p_cut.sort_by(|a, b| a.partial_cmp(b).unwrap());
         _ = p_cut.pop();
         let p_cut = p_cut.iter().map(|(p, n)| (*p, n.into_inner())).collect();
+
         Self {
             p_cut,
             rnorm2: max_output_norm2,
+            external_partitions,
+            has_internal_partitions,
         }
     }
 
@@ -197,9 +339,15 @@ impl PartitionCut {
                 p_cut.push(cut);
             }
         }
+        let has_internal_partitions = self.has_internal_partitions
+            && self.is_internal_partition(&PartitionIndex(
+                used.iter().map(|u| u.0).min().unwrap_or(usize::MAX),
+            ));
         Self {
             p_cut,
             rnorm2: self.rnorm2.clone(),
+            external_partitions: self.external_partitions.clone(),
+            has_internal_partitions,
         }
     }
 }
@@ -229,6 +377,13 @@ impl std::fmt::Display for PartitionCut {
             "partition {}: {prev_precision_cut} bits and higher",
             self.p_cut.len()
         )?;
+        for (i, e_partition) in self.external_partitions.iter().enumerate() {
+            writeln!(
+                f,
+                "partition {} (external): {e_partition}",
+                i + self.n_internal_partitions()
+            )?;
+        }
         Ok(())
     }
 }
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partitionning.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partitionning.rs
index fb4d7d66d..e01648db1 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partitionning.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partitionning.rs
@@ -55,7 +55,9 @@ fn extract_levelled_block(dag: &unparametrized::Dag) -> Blocks {
             // Block entry point and pre-exit point
             Op::Lut { .. } => (),
             // Connectors
-            Op::UnsafeCast { input, .. } => uf.union(input.0, op_i),
+            Op::UnsafeCast { input, .. } | Op::ChangePartition { input, .. } => {
+                uf.union(input.0, op_i);
+            }
             Op::LevelledOp { inputs, .. } | Op::Dot { inputs, .. } => {
                 for input in inputs {
                     uf.union(input.0, op_i);
@@ -120,7 +122,7 @@ fn only_1_partition(dag: &unparametrized::Dag) -> Partitions {
             Op::Dot { inputs, .. } | Op::LevelledOp { inputs, .. } => {
                 instrs_partition[op_i].inputs_transition = vec![None; inputs.len()];
             }
-            Op::Lut { .. } | Op::UnsafeCast { .. } => {
+            Op::Lut { .. } | Op::UnsafeCast { .. } | Operator::ChangePartition { .. } => {
                 instrs_partition[op_i].inputs_transition = vec![None];
             }
             Op::Input { .. } => (),
@@ -130,6 +132,7 @@ fn only_1_partition(dag: &unparametrized::Dag) -> Partitions {
     Partitions {
         nb_partitions: 1,
         instrs_partition,
+        p_cut: PartitionCut::empty(),
     }
 }
 
@@ -146,7 +149,7 @@ fn resolve_by_levelled_block(
         .copied()
         .collect();
     let nb_partitions = present_partitions.len().max(1); // no tlu = no constraints
-    if p_cut.p_cut.len() + 1 != nb_partitions {
+    if p_cut.n_partitions() != nb_partitions {
         return resolve_by_levelled_block(
             dag,
             &p_cut.delete_unused_cut(&present_partitions),
@@ -169,7 +172,15 @@ fn resolve_by_levelled_block(
             1 => get_singleton_value(&constraints.forced),
             _ => {
                 let forced = constraints.forced;
-                if forced.contains(&default_partition) {
+                // in case of conflict, prioritize the external partition, then the default partition
+                let externals: Vec<_> = forced
+                    .iter()
+                    .filter(|p| p_cut.is_external_partition(p))
+                    .collect();
+                assert!(externals.len() <= 1);
+                if externals.len() == 1 {
+                    *externals[0]
+                } else if forced.contains(&default_partition) {
                     default_partition
                 } else {
                     *forced.iter().min().unwrap()
@@ -217,7 +228,7 @@ fn resolve_by_levelled_block(
                     }
                 }
             }
-            Op::UnsafeCast { input, .. } => {
+            Op::UnsafeCast { input, .. } | Op::ChangePartition { input, .. } => {
                 instrs_p[op_i].instruction_partition = group_partition;
                 let input_partition = instrs_p[input.0].instruction_partition;
                 instrs_p[op_i].inputs_transition = if group_partition == input_partition {
@@ -235,6 +246,7 @@ fn resolve_by_levelled_block(
     Partitions {
         nb_partitions,
         instrs_partition: instrs_p,
+        p_cut: p_cut.clone(),
     }
     // Now we can generate transitions
     // Input has no transtions
@@ -247,7 +259,7 @@ pub fn partitionning_with_preferred(
     p_cut: &PartitionCut,
     default_partition: PartitionIndex,
 ) -> Partitions {
-    if p_cut.p_cut.is_empty() {
+    if p_cut.n_partitions() <= 1 {
         only_1_partition(dag)
     } else {
         resolve_by_levelled_block(dag, p_cut, default_partition)
@@ -261,9 +273,32 @@ pub mod tests {
     pub const LOW_PRECISION_PARTITION: PartitionIndex = PartitionIndex(0);
     pub const HIGH_PRECISION_PARTITION: PartitionIndex = PartitionIndex(1);
 
+    use once_cell::sync::Lazy;
+
     use super::*;
-    use crate::dag::operator::{FunctionTable, Shape, Weights};
+    use crate::config;
+    use crate::dag::operator::{FunctionTable, LevelledComplexity, Shape, Weights};
     use crate::dag::unparametrized;
+    use crate::optimization::dag::multi_parameters::optimize::MacroParameters;
+    use crate::optimization::dag::multi_parameters::partition_cut::ExternalPartition;
+    use crate::optimization::decomposition::cmux::get_noise_br;
+    use crate::optimization::decomposition::{self, PersistDecompCaches};
+    use crate::parameters::GlweParameters;
+
+    const CIPHERTEXT_MODULUS_LOG: u32 = 64;
+    const FFT_PRECISION: u32 = 53;
+
+    pub static SHARED_CACHES: Lazy<PersistDecompCaches> = Lazy::new(|| {
+        let processing_unit = config::ProcessingUnit::Cpu;
+        decomposition::cache(
+            128,
+            processing_unit,
+            None,
+            true,
+            CIPHERTEXT_MODULUS_LOG,
+            FFT_PRECISION,
+        )
+    });
 
     fn default_p_cut() -> PartitionCut {
         PartitionCut::from_precisions(&[2, 128])
@@ -333,6 +368,316 @@ pub mod tests {
         }
     }
 
+    fn get_external_partition_index_or(
+        external_partition: &ExternalPartition,
+        p_cut: &PartitionCut,
+        default: usize,
+    ) -> PartitionIndex {
+        for (i, e_partition) in p_cut.external_partitions.iter().enumerate() {
+            if external_partition == e_partition {
+                return PartitionIndex(i + p_cut.n_internal_partitions());
+            }
+        }
+        PartitionIndex(default)
+    }
+
+    pub const GLWE_PARAMS: GlweParameters = GlweParameters {
+        log2_polynomial_size: 11,
+        glwe_dimension: 1,
+    };
+
+    pub const TFHERS_PBS_LEVEL: u64 = 1;
+
+    pub const TFHERS_MACRO_PARAMS: MacroParameters = MacroParameters {
+        glwe_params: GLWE_PARAMS,
+        internal_dim: 841,
+    };
+
+    pub fn get_tfhers_noise_br() -> f64 {
+        get_noise_br(
+            SHARED_CACHES.caches(),
+            GLWE_PARAMS.log2_polynomial_size,
+            GLWE_PARAMS.glwe_dimension,
+            TFHERS_MACRO_PARAMS.internal_dim,
+            TFHERS_PBS_LEVEL,
+            None,
+        )
+        .unwrap()
+    }
+
+    #[test]
+    fn test_tfhers_in_out_dot_compute() {
+        let variance = get_tfhers_noise_br();
+        let tfhers_partition = ExternalPartition {
+            name: String::from("tfhers"),
+            macro_params: TFHERS_MACRO_PARAMS,
+            max_variance: variance * 4.0,
+            variance,
+        };
+        let mut dag = unparametrized::Dag::new();
+        let input1 = dag.add_input(16, Shape::number());
+        let change_part1 = dag.add_change_partition(input1, Some(tfhers_partition.clone()), None);
+        let dot = dag.add_dot([change_part1], [2]);
+        _ = dag.add_change_partition(dot, None, Some(tfhers_partition));
+
+        let partitions = partitionning(&dag);
+        assert!(partitions.nb_partitions == 1);
+        let instrs_partition = partitions.instrs_partition;
+        show_partitionning(&dag, &instrs_partition);
+        assert!(instrs_partition[0].instruction_partition == LOW_PRECISION_PARTITION);
+    }
+
+    #[test]
+    fn test_tfhers_in_out_lut_compute() {
+        let variance = get_tfhers_noise_br();
+        let tfhers_partition = ExternalPartition {
+            name: String::from("tfhers"),
+            macro_params: TFHERS_MACRO_PARAMS,
+            max_variance: variance * 6.0,
+            variance,
+        };
+        let mut dag = unparametrized::Dag::new();
+        let input = dag.add_input(16, Shape::number());
+        let change_part1 = dag.add_change_partition(input, Some(tfhers_partition.clone()), None);
+        let lut = dag.add_lut(change_part1, FunctionTable::UNKWOWN, 16);
+        let change_part2 = dag.add_change_partition(lut, None, Some(tfhers_partition));
+
+        let partitions = partitionning(&dag);
+        assert!(partitions.nb_partitions == 2);
+        let tfhers_partition_index = PartitionIndex(1);
+        let instrs_partition = partitions.instrs_partition;
+        show_partitionning(&dag, &instrs_partition);
+
+        let consider = |op_i: OperatorIndex| &instrs_partition[op_i.0];
+        assert!(consider(input).instruction_partition == tfhers_partition_index);
+        assert!(consider(change_part1).instruction_partition == tfhers_partition_index);
+        assert!(consider(change_part1).inputs_transition == [None]);
+        assert!(consider(lut).instruction_partition == LOW_PRECISION_PARTITION);
+        assert!(consider(lut).alternative_output_representation.len() == 1);
+        assert!(consider(lut)
+            .alternative_output_representation
+            .contains(&tfhers_partition_index));
+        assert!(consider(change_part2).instruction_partition == tfhers_partition_index);
+        assert!(
+            consider(change_part2).inputs_transition
+                == [Some(Transition::Additional {
+                    src_partition: LOW_PRECISION_PARTITION
+                })]
+        );
+    }
+
+    #[test]
+    fn test_tfhers_in_out_lut_compute_mix_external() {
+        let variance = get_tfhers_noise_br();
+        let tfhers_partition = ExternalPartition {
+            name: String::from("tfhers"),
+            macro_params: TFHERS_MACRO_PARAMS,
+            max_variance: variance * 6.0,
+            variance,
+        };
+        let mut dag = unparametrized::Dag::new();
+        let external_input = dag.add_input(16, Shape::number());
+        let other_input = dag.add_input(16, Shape::number());
+        let other_lut = dag.add_lut(other_input, FunctionTable::UNKWOWN, 16);
+        let mix_add = dag.add_levelled_op(
+            [external_input, other_lut],
+            LevelledComplexity::ADDITION,
+            [1.0, 1.0],
+            Shape::number(),
+            "add",
+        );
+        let change_part1 = dag.add_change_partition(mix_add, Some(tfhers_partition.clone()), None);
+        let lut = dag.add_lut(change_part1, FunctionTable::UNKWOWN, 16);
+        let change_part2 = dag.add_change_partition(lut, None, Some(tfhers_partition));
+
+        let partitions = partitionning(&dag);
+        assert!(partitions.nb_partitions == 2);
+        let tfhers_partition_index = PartitionIndex(1);
+        let instrs_partition = partitions.instrs_partition;
+        show_partitionning(&dag, &instrs_partition);
+
+        let consider = |op_i: OperatorIndex| &instrs_partition[op_i.0];
+        assert!(consider(external_input).instruction_partition == tfhers_partition_index);
+        assert!(consider(other_input).instruction_partition == LOW_PRECISION_PARTITION);
+        assert!(consider(other_lut).alternative_output_representation.len() == 1);
+        assert!(consider(other_lut)
+            .alternative_output_representation
+            .contains(&tfhers_partition_index));
+        assert!(consider(change_part1).instruction_partition == tfhers_partition_index);
+        assert!(consider(change_part1).inputs_transition == [None]);
+        assert!(consider(lut).instruction_partition == LOW_PRECISION_PARTITION);
+        assert!(consider(lut).alternative_output_representation.len() == 1);
+        assert!(consider(lut)
+            .alternative_output_representation
+            .contains(&tfhers_partition_index));
+        assert!(consider(change_part2).instruction_partition == tfhers_partition_index);
+    }
+
+    #[test]
+    fn test_tfhers_different_in_out_lut_compute() {
+        let variance = get_tfhers_noise_br();
+        let tfhers_partition_in = ExternalPartition {
+            name: String::from("tfhers_in"),
+            macro_params: TFHERS_MACRO_PARAMS,
+            max_variance: variance * 2.0,
+            variance,
+        };
+        let tfhers_partition_out = ExternalPartition {
+            name: String::from("tfhers_out"),
+            macro_params: TFHERS_MACRO_PARAMS,
+            max_variance: variance * 2.0,
+            variance,
+        };
+        let mut dag = unparametrized::Dag::new();
+        let input = dag.add_input(16, Shape::number());
+        let change_part1 = dag.add_change_partition(input, Some(tfhers_partition_in.clone()), None);
+        let lut = dag.add_lut(change_part1, FunctionTable::UNKWOWN, 16);
+        let change_part2 = dag.add_change_partition(lut, None, Some(tfhers_partition_out.clone()));
+
+        let p_cut = PartitionCut::for_each_precision(&dag);
+        let partitions = partitionning_with_preferred(&dag, &p_cut, LOW_PRECISION_PARTITION);
+        assert!(partitions.nb_partitions == 3);
+        let tfhers_partition_index_in =
+            get_external_partition_index_or(&tfhers_partition_in, &p_cut, 1);
+        let tfhers_partition_index_out =
+            get_external_partition_index_or(&tfhers_partition_out, &p_cut, 2);
+        let instrs_partition = partitions.instrs_partition;
+        show_partitionning(&dag, &instrs_partition);
+
+        let consider = |op_i: OperatorIndex| &instrs_partition[op_i.0];
+        assert!(consider(input).instruction_partition == tfhers_partition_index_in);
+        assert!(consider(change_part1).instruction_partition == tfhers_partition_index_in);
+        assert!(consider(change_part1).inputs_transition == [None]);
+        assert!(consider(lut).instruction_partition == LOW_PRECISION_PARTITION);
+        assert!(consider(lut).alternative_output_representation.len() == 1);
+        assert!(consider(lut)
+            .alternative_output_representation
+            .contains(&tfhers_partition_index_out));
+        assert!(consider(change_part2).instruction_partition == tfhers_partition_index_out);
+        assert!(
+            consider(change_part2).inputs_transition
+                == [Some(Transition::Additional {
+                    src_partition: LOW_PRECISION_PARTITION
+                })]
+        );
+    }
+
+    #[test]
+    fn test_tfhers_in_out_2lut_compute() {
+        let variance = get_tfhers_noise_br();
+        let tfhers_partition = ExternalPartition {
+            name: String::from("tfhers"),
+            macro_params: TFHERS_MACRO_PARAMS,
+            max_variance: variance * 4.0,
+            variance,
+        };
+        let mut dag = unparametrized::Dag::new();
+        let input = dag.add_input(16, Shape::number());
+        let change_part1 = dag.add_change_partition(input, Some(tfhers_partition.clone()), None);
+        let lut1 = dag.add_lut(change_part1, FunctionTable::UNKWOWN, 4);
+        let lut2 = dag.add_lut(lut1, FunctionTable::UNKWOWN, 16);
+        let change_part2 = dag.add_change_partition(lut2, None, Some(tfhers_partition));
+
+        let partitions = partitionning(&dag);
+        assert!(partitions.nb_partitions == 3);
+        let tfhers_partition_index = PartitionIndex(2);
+        let instrs_partition = partitions.instrs_partition;
+        show_partitionning(&dag, &instrs_partition);
+
+        let consider = |op_i: OperatorIndex| &instrs_partition[op_i.0];
+        assert!(consider(input).instruction_partition == tfhers_partition_index);
+        assert!(consider(change_part1).instruction_partition == tfhers_partition_index);
+        assert!(consider(change_part1).inputs_transition == [None]);
+        assert!(consider(lut1).instruction_partition == HIGH_PRECISION_PARTITION);
+        assert!(
+            consider(lut1).inputs_transition
+                == [Some(Transition::Internal {
+                    src_partition: tfhers_partition_index
+                })]
+        );
+        assert!(consider(lut2).alternative_output_representation.len() == 1);
+        assert!(consider(lut2)
+            .alternative_output_representation
+            .contains(&tfhers_partition_index));
+        assert!(consider(lut2).instruction_partition == LOW_PRECISION_PARTITION);
+        assert!(
+            consider(lut2).inputs_transition
+                == [Some(Transition::Internal {
+                    src_partition: HIGH_PRECISION_PARTITION
+                })]
+        );
+        assert!(consider(change_part2).instruction_partition == tfhers_partition_index);
+        assert!(
+            consider(change_part2).inputs_transition
+                == [Some(Transition::Additional {
+                    src_partition: LOW_PRECISION_PARTITION
+                })]
+        );
+    }
+
+    #[test]
+    fn test_tfhers_different_in_out_2lut_compute() {
+        let variance = get_tfhers_noise_br();
+        let tfhers_partition_in = ExternalPartition {
+            name: String::from("tfhers_in"),
+            macro_params: TFHERS_MACRO_PARAMS,
+            max_variance: variance * 4.0,
+            variance,
+        };
+        let tfhers_partition_out = ExternalPartition {
+            name: String::from("tfhers_out"),
+            macro_params: TFHERS_MACRO_PARAMS,
+            max_variance: variance * 4.0,
+            variance,
+        };
+        let mut dag = unparametrized::Dag::new();
+        let input = dag.add_input(16, Shape::number());
+        let change_part1 = dag.add_change_partition(input, Some(tfhers_partition_in.clone()), None);
+        let lut1 = dag.add_lut(change_part1, FunctionTable::UNKWOWN, 4);
+        let lut2 = dag.add_lut(lut1, FunctionTable::UNKWOWN, 16);
+        let change_part2 = dag.add_change_partition(lut2, None, Some(tfhers_partition_out.clone()));
+
+        let p_cut = PartitionCut::for_each_precision(&dag);
+        let partitions = partitionning_with_preferred(&dag, &p_cut, LOW_PRECISION_PARTITION);
+        assert!(partitions.nb_partitions == 4);
+        let tfhers_partition_index_in =
+            get_external_partition_index_or(&tfhers_partition_in, &p_cut, 2);
+        let tfhers_partition_index_out =
+            get_external_partition_index_or(&tfhers_partition_out, &p_cut, 3);
+        let instrs_partition = partitions.instrs_partition;
+        show_partitionning(&dag, &instrs_partition);
+
+        let consider = |op_i: OperatorIndex| &instrs_partition[op_i.0];
+        assert!(consider(input).instruction_partition == tfhers_partition_index_in);
+        assert!(consider(change_part1).instruction_partition == tfhers_partition_index_in);
+        assert!(consider(change_part1).inputs_transition == [None]);
+        assert!(consider(lut1).instruction_partition == HIGH_PRECISION_PARTITION);
+        assert!(
+            consider(lut1).inputs_transition
+                == [Some(Transition::Internal {
+                    src_partition: tfhers_partition_index_in
+                })]
+        );
+        assert!(consider(lut2).alternative_output_representation.len() == 1);
+        assert!(consider(lut2)
+            .alternative_output_representation
+            .contains(&tfhers_partition_index_out));
+        assert!(consider(lut2).instruction_partition == LOW_PRECISION_PARTITION);
+        assert!(
+            consider(lut2).inputs_transition
+                == [Some(Transition::Internal {
+                    src_partition: HIGH_PRECISION_PARTITION
+                })]
+        );
+        assert!(consider(change_part2).instruction_partition == tfhers_partition_index_out);
+        assert!(
+            consider(change_part2).inputs_transition
+                == [Some(Transition::Additional {
+                    src_partition: LOW_PRECISION_PARTITION
+                })]
+        );
+    }
+
     #[test]
     fn test_1_input_2_partitions() {
         let mut dag = unparametrized::Dag::new();
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partitions.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partitions.rs
index 28ee90c61..18dd8050d 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partitions.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/partitions.rs
@@ -6,6 +6,8 @@ use std::{
 
 use crate::dag::operator::OperatorIndex;
 
+use super::partition_cut::PartitionCut;
+
 #[derive(Clone, Debug, PartialEq, Eq, Default, PartialOrd, Ord, Hash, Copy)]
 pub struct PartitionIndex(pub(crate) usize);
 
@@ -78,6 +80,7 @@ impl InstructionPartition {
 pub struct Partitions {
     pub nb_partitions: usize,
     pub instrs_partition: Vec<InstructionPartition>,
+    pub p_cut: PartitionCut,
 }
 
 impl Index<OperatorIndex> for Partitions {
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/symbolic_variance.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/symbolic_variance.rs
index 4bf70f5b8..7b120a48a 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/symbolic_variance.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/multi_parameters/symbolic_variance.rs
@@ -54,6 +54,20 @@ impl SymbolicVariance {
         r
     }
 
+    pub fn from_external_partition(
+        nb_partitions: usize,
+        partition: PartitionIndex,
+        max_variance: f64,
+    ) -> Self {
+        let mut r = Self {
+            partition,
+            coeffs: OperationsValue::zero(nb_partitions),
+        };
+        // rust ..., offset cannot be inlined
+        *r.coeffs.pbs(partition) = max_variance;
+        r
+    }
+
     pub fn coeff_input(&self, partition: PartitionIndex) -> f64 {
         self.coeffs[self.coeffs.index.input(partition)]
     }
@@ -144,38 +158,6 @@ impl SymbolicVariance {
         new
     }
 
-    #[allow(clippy::float_cmp)]
-    pub fn after_levelled_op(&self, manp: f64) -> Self {
-        let new_coeff = manp * manp;
-        // detect the previous base manp level
-        // this is the maximum value of fresh base noise and pbs base noise
-        let mut current_max: f64 = 0.0;
-        for partition in PartitionIndex::range(0, self.nb_partitions()) {
-            let fresh_coeff = self.coeff_input(partition);
-            let pbs_noise_coeff = self.coeff_pbs(partition);
-            current_max = current_max.max(fresh_coeff).max(pbs_noise_coeff);
-        }
-        // assert!(1.0 <= current_max);
-        // assert!(
-        //     current_max <= new_coeff,
-        //     "Non monotonious levelled op: {current_max} <= {new_coeff}"
-        // );
-        // replace all current_max by new_coeff
-        // multiply everything else by new_coeff / current_max
-        let mut new = self.clone();
-        if current_max == 0.0 {
-            return new;
-        }
-        for cell in &mut new.coeffs.values {
-            if *cell == current_max {
-                *cell = new_coeff;
-            } else {
-                *cell *= new_coeff / current_max;
-            }
-        }
-        new
-    }
-
     pub fn max(&self, other: &Self) -> Self {
         let mut coeffs = self.coeffs.clone();
         for (i, coeff) in coeffs.iter_mut().enumerate() {
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/analyze.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/analyze.rs
index 84502b857..484338b12 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/analyze.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/analyze.rs
@@ -1,4 +1,4 @@
-use super::symbolic_variance::{SymbolicVariance, VarianceOrigin};
+use super::symbolic_variance::SymbolicVariance;
 use crate::dag::operator::{
     DotKind, LevelledComplexity, Operator, OperatorIndex, Precision, Shape,
 };
@@ -47,7 +47,8 @@ fn assert_inputs_index(op: &Operator, first_bad_index: usize) {
         Operator::Input { .. } => true,
         Operator::Lut { input, .. }
         | Operator::UnsafeCast { input, .. }
-        | Operator::Round { input, .. } => input.0 < first_bad_index,
+        | Operator::Round { input, .. }
+        | Operator::ChangePartition { input, .. } => input.0 < first_bad_index,
         Operator::LevelledOp { inputs, .. } | Operator::Dot { inputs, .. } => {
             inputs.iter().all(|input| input.0 < first_bad_index)
         }
@@ -73,6 +74,15 @@ pub fn has_round(dag: &Dag) -> bool {
     false
 }
 
+pub fn has_change_partition(dag: &Dag) -> bool {
+    for op in &dag.operators {
+        if matches!(op, Operator::ChangePartition { .. }) {
+            return true;
+        }
+    }
+    false
+}
+
 pub fn has_unsafe_cast(dag: &Dag) -> bool {
     for op in &dag.operators {
         if matches!(op, Operator::UnsafeCast { .. }) {
@@ -86,6 +96,10 @@ pub fn assert_no_round(dag: &Dag) {
     assert!(!has_round(dag));
 }
 
+pub fn assert_no_change_partition(dag: &Dag) {
+    assert!(!has_change_partition(dag));
+}
+
 fn assert_valid_variances(dag: &SoloKeyDag) {
     for &out_variance in &dag.out_variances {
         assert!(
@@ -100,17 +114,6 @@ fn assert_properties_correctness(dag: &SoloKeyDag) {
     assert_valid_variances(dag);
 }
 
-fn variance_origin(inputs: &[OperatorIndex], out_variances: &[SymbolicVariance]) -> VarianceOrigin {
-    let first_origin = first(inputs, out_variances).origin();
-    for input in inputs.iter().skip(1) {
-        let item = &out_variances[input.0];
-        if first_origin != item.origin() {
-            return VarianceOrigin::Mixed;
-        }
-    }
-    first_origin
-}
-
 #[derive(Clone, Debug)]
 pub struct SoloKeyDag {
     // Collect all operators output variances
@@ -146,15 +149,15 @@ fn out_variance(
     match op {
         Operator::Input { .. } => SymbolicVariance::INPUT,
         Operator::Lut { .. } => SymbolicVariance::LUT,
-        Operator::LevelledOp { inputs, manp, .. } => {
-            let variance_factor = SymbolicVariance::manp_to_variance_factor(*manp);
-            let origin = match variance_origin(inputs, out_variances) {
-                    VarianceOrigin::Input => SymbolicVariance::INPUT,
-                    VarianceOrigin::Lut | VarianceOrigin::Mixed /* Mixed: assume the worst */
-                    => SymbolicVariance::LUT
-            };
-            origin * variance_factor
-        }
+        Operator::LevelledOp {
+            inputs, weights, ..
+        } => inputs
+            .iter()
+            .map(|i| out_variances[i.0])
+            .zip(weights)
+            .fold(SymbolicVariance::ZERO, |acc, (var, &weight)| {
+                acc + var * square(weight)
+            }),
         Operator::Dot {
             kind: DotKind::CompatibleTensor { .. },
             ..
@@ -187,7 +190,9 @@ fn out_variance(
             .fold(SymbolicVariance::ZERO, |acc, (weight, var)| {
                 acc + var * square(*weight as f64)
             }),
-        Operator::UnsafeCast { input, .. } => out_variances[input.0],
+        Operator::UnsafeCast { input, .. } | Operator::ChangePartition { input, .. } => {
+            out_variances[input.0]
+        }
         Operator::Round { .. } => {
             unreachable!("Round should have been either expanded or integrated to a lut")
         }
@@ -247,9 +252,10 @@ fn op_levelled_complexity(op: &Operator, out_shapes: &[Shape]) -> LevelledComple
         }
 
         Operator::LevelledOp { complexity, .. } => *complexity,
-        Operator::Input { .. } | Operator::Lut { .. } | Operator::UnsafeCast { .. } => {
-            LevelledComplexity::ZERO
-        }
+        Operator::Input { .. }
+        | Operator::Lut { .. }
+        | Operator::UnsafeCast { .. }
+        | Operator::ChangePartition { .. } => LevelledComplexity::ZERO,
         Operator::Round { .. } => {
             unreachable!("Round should have been either expanded or integrated to a lut")
         }
@@ -385,6 +391,7 @@ pub fn analyze(dag: &Dag, noise_config: &NoiseBoundConfig) -> SoloKeyDag {
     assert_dag_correctness(dag);
     let dag = &expand_round(dag);
     assert_no_round(dag);
+    assert_no_change_partition(dag);
     let out_variances = out_variances(dag);
     let in_luts_variance = in_luts_variance(dag, &out_variances);
     let nb_luts = lut_count_from_dag(dag);
@@ -552,7 +559,7 @@ impl SoloKeyDag {
 
             p_error = combine_errors(p_error, p_error_c);
         }
-        assert!(0.0 <= p_error && p_error <= 1.0);
+        assert!((0.0..=1.0).contains(&p_error));
         p_error
     }
 
@@ -702,14 +709,13 @@ pub mod tests {
         let cpx_dot = LevelledComplexity::ADDITION;
         let weights = Weights::vector([1, 2]);
         #[allow(clippy::imprecise_flops)]
-        let manp = (1.0 * 1.0 + 2.0 * 2_f64).sqrt();
-        let dot = graph.add_levelled_op([input1, input1], cpx_dot, manp, Shape::number(), "dot");
+        let dot =
+            graph.add_levelled_op([input1, input1], cpx_dot, [1., 2.], Shape::number(), "dot");
         let analysis = analyze(&graph);
         let one_lut_cost = 100.0;
         let lwe_dim = 1024;
         let complexity_cost = analysis.complexity(lwe_dim, one_lut_cost);
 
-        assert!(analysis.out_variances[dot.0].origin() == VarianceOrigin::Input);
         assert_eq!(graph.out_precisions[dot.0], 3);
         let expected_square_norm2 = weights.square_norm2() as f64;
         let actual_square_norm2 = analysis.out_variances[dot.0].input_coeff;
@@ -720,7 +726,6 @@ pub mod tests {
         let constraint = analysis.constraint();
         assert!(constraint.pareto_in_lut.is_empty());
         assert!(constraint.pareto_output.len() == 1);
-        assert_eq!(constraint.pareto_output[0].origin(), VarianceOrigin::Input);
         assert_f64_eq(constraint.pareto_output[0].input_coeff, 5.0);
     }
 
@@ -763,10 +768,8 @@ pub mod tests {
         assert_f64_eq(expected_cost, complexity_cost);
         let constraint = analysis.constraint();
         assert_eq!(constraint.pareto_output.len(), 1);
-        assert_eq!(constraint.pareto_output[0].origin(), VarianceOrigin::Lut);
         assert_f64_eq(constraint.pareto_output[0].lut_coeff, 1.0);
         assert_eq!(constraint.pareto_in_lut.len(), 1);
-        assert_eq!(constraint.pareto_in_lut[0].origin(), VarianceOrigin::Lut);
         assert_f64_eq(
             constraint.pareto_in_lut[0].lut_coeff,
             weights.square_norm2() as f64,
@@ -796,7 +799,6 @@ pub mod tests {
         assert_eq!(constraint.pareto_output.len(), 1);
         assert_eq!(constraint.pareto_output[0], SymbolicVariance::LUT);
         assert_eq!(constraint.pareto_in_lut.len(), 1);
-        assert_eq!(constraint.pareto_in_lut[0].origin(), VarianceOrigin::Mixed);
         assert_eq!(constraint.pareto_in_lut[0], expected_mixed);
     }
 
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/optimize.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/optimize.rs
index 4d4ae204a..01bcb4e53 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/optimize.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/optimize.rs
@@ -2,9 +2,8 @@ use concrete_cpu_noise_model::gaussian_noise::noise::modulus_switching::estimate
 use concrete_security_curves::gaussian::security::minimal_variance_lwe;
 
 use super::analyze;
-use crate::dag::operator::{LevelledComplexity, Precision};
+use crate::dag::operator::LevelledComplexity;
 use crate::dag::unparametrized;
-use crate::dag::unparametrized::Dag;
 use crate::noise_estimator::error;
 use crate::optimization::atomic_pattern::{
     OptimizationDecompositionsConsts, OptimizationState, Solution,
@@ -383,22 +382,21 @@ pub fn optimize(
     state
 }
 
-pub fn add_v0_dag(dag: &mut Dag, sum_size: u64, precision: u64, noise_factor: f64) {
+pub fn add_v0_dag(dag: &mut unparametrized::Dag, sum_size: u64, precision: u64, noise_factor: f64) {
     use crate::dag::operator::{FunctionTable, Shape};
-    let same_scale_manp = 1.0;
     let manp = noise_factor;
     let out_shape = &Shape::number();
     let complexity = LevelledComplexity::ADDITION * sum_size;
     let comment = "dot";
-    let precision = precision as Precision;
+    let precision = precision as crate::dag::operator::Precision;
     let input1 = dag.add_input(precision, out_shape);
-    let dot1 = dag.add_levelled_op([input1], complexity, same_scale_manp, out_shape, comment);
+    let dot1 = dag.add_levelled_op([input1], complexity, [1.0], out_shape, comment);
     let lut1 = dag.add_lut(dot1, FunctionTable::UNKWOWN, precision);
-    let dot2 = dag.add_levelled_op([lut1], complexity, manp, out_shape, comment);
+    let dot2 = dag.add_levelled_op([lut1], complexity, [manp], out_shape, comment);
     let _lut2 = dag.add_lut(dot2, FunctionTable::UNKWOWN, precision);
 }
 
-pub fn v0_dag(sum_size: u64, precision: u64, noise_factor: f64) -> Dag {
+pub fn v0_dag(sum_size: u64, precision: u64, noise_factor: f64) -> unparametrized::Dag {
     let mut dag = unparametrized::Dag::new();
     add_v0_dag(&mut dag, sum_size, precision, noise_factor);
     dag
@@ -429,10 +427,9 @@ pub(crate) mod tests {
     use super::*;
     use crate::computing_cost::cpu::CpuComplexity;
     use crate::config;
-    use crate::dag::operator::{FunctionTable, Shape, Weights};
+    use crate::dag::operator::{FunctionTable, Precision, Shape, Weights};
     use crate::noise_estimator::p_error::repeat_p_error;
     use crate::optimization::config::SearchSpace;
-    use crate::optimization::dag::solo_key::symbolic_variance::VarianceOrigin;
     use crate::optimization::{atomic_pattern, decomposition};
     use crate::utils::square;
 
@@ -607,10 +604,8 @@ pub(crate) mod tests {
             let constraint = dag2.constraint();
             assert_eq!(constraint.pareto_output.len(), 1);
             assert_eq!(constraint.pareto_in_lut.len(), 1);
-            assert_eq!(constraint.pareto_output[0].origin(), VarianceOrigin::Lut);
             assert_f64_eq(1.0, constraint.pareto_output[0].lut_coeff);
             assert!(constraint.pareto_in_lut.len() == 1);
-            assert_eq!(constraint.pareto_in_lut[0].origin(), VarianceOrigin::Lut);
             assert_f64_eq(square(weight) as f64, constraint.pareto_in_lut[0].lut_coeff);
         }
 
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/symbolic_variance.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/symbolic_variance.rs
index e2fc192b2..b81a11d89 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/symbolic_variance.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/dag/solo_key/symbolic_variance.rs
@@ -25,13 +25,6 @@ pub struct SymbolicVariance {
     // see pareto sorting and dominate_or_equal
 }
 
-#[derive(Clone, Copy, Debug, PartialEq, Eq)]
-pub enum VarianceOrigin {
-    Input,
-    Lut,
-    Mixed,
-}
-
 impl std::ops::Add for SymbolicVariance {
     type Output = Self;
 
@@ -93,20 +86,6 @@ impl SymbolicVariance {
         lut_coeff: 1.0,
     };
 
-    pub fn origin(&self) -> VarianceOrigin {
-        if self.lut_coeff == 0.0 {
-            VarianceOrigin::Input
-        } else if self.input_coeff == 0.0 {
-            VarianceOrigin::Lut
-        } else {
-            VarianceOrigin::Mixed
-        }
-    }
-
-    pub fn manp_to_variance_factor(manp: f64) -> f64 {
-        manp * manp
-    }
-
     pub fn dominate_or_equal(&self, other: &Self) -> bool {
         let extra_other_minimal_base_noise = 0.0_f64.max(other.input_coeff - self.input_coeff);
         other.lut_coeff + extra_other_minimal_base_noise <= self.lut_coeff
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/decomposition/cmux.rs b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/decomposition/cmux.rs
index fc28b5f89..41a44e6ed 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/optimization/decomposition/cmux.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/optimization/decomposition/cmux.rs
@@ -8,6 +8,7 @@ use serde::{Deserialize, Serialize};
 use std::sync::Arc;
 
 use super::common::VERSION;
+use super::DecompCaches;
 
 #[derive(Clone, Copy, Debug, Serialize, Deserialize)]
 pub struct CmuxComplexityNoise {
@@ -147,3 +148,32 @@ pub fn cache(
     };
     PersistentCacheHashMap::new_no_read(&path, VERSION, function)
 }
+
+#[derive(Debug)]
+pub enum MaxVarianceError {
+    PbsBaseLogNotFound,
+    PbsLevelNotFound,
+}
+
+pub fn get_noise_br(
+    mut cache: DecompCaches,
+    log2_polynomial_size: u64,
+    glwe_dimension: u64,
+    lwe_dim: u64,
+    pbs_level: u64,
+    pbs_log2_base: Option<u64>,
+) -> Result<f64, MaxVarianceError> {
+    let cmux_quantities = cache.cmux.pareto_quantities(GlweParameters {
+        log2_polynomial_size,
+        glwe_dimension,
+    });
+    for cmux_quantity in cmux_quantities {
+        if cmux_quantity.decomp.level == pbs_level {
+            if pbs_log2_base.is_some() && cmux_quantity.decomp.log2_base == pbs_log2_base.unwrap() {
+                return Err(MaxVarianceError::PbsBaseLogNotFound);
+            }
+            return Ok(cmux_quantity.noise_br(lwe_dim));
+        }
+    }
+    Err(MaxVarianceError::PbsLevelNotFound)
+}
diff --git a/compilers/concrete-optimizer/concrete-optimizer/src/utils/viz.rs b/compilers/concrete-optimizer/concrete-optimizer/src/utils/viz.rs
index 0ac2dc8e9..a54068ede 100644
--- a/compilers/concrete-optimizer/concrete-optimizer/src/utils/viz.rs
+++ b/compilers/concrete-optimizer/concrete-optimizer/src/utils/viz.rs
@@ -87,24 +87,28 @@ impl<'dag> Viz for crate::dag::unparametrized::DagOperator<'dag> {
         } else {
             "lightgreen"
         };
+        let location = self.location;
         match self.operator {
             Operator::Input { out_precision, .. } => {
-                format!("{index} [label =\"{{%{index} = Input({input_string}) |{{out_precision:|{out_precision:?}}}}}\" fillcolor={color}];")
+                format!("{index} [label =\"{{%{index} = Input({input_string}) |{{out_precision:|{out_precision:?}}} | {{loc:|{location}}}}}\" fillcolor={color}];")
             }
             Operator::Lut { out_precision, .. } => {
-                format!("{index} [label = \"{{%{index} = Lut({input_string}) |{{out_precision:|{out_precision:?}}}}}\" fillcolor={color}];")
+                format!("{index} [label = \"{{%{index} = Lut({input_string}) |{{out_precision:|{out_precision:?}}}| {{loc:|{location}}}}}\" fillcolor={color}];")
             }
             Operator::Dot { .. } => {
-                format!("{index} [label = \"{{%{index} = Dot({input_string})}}\" fillcolor={color}];")
+                format!("{index} [label = \"{{%{index} = Dot({input_string})| {{loc:|{location}}}}}\" fillcolor={color}];")
             }
-            Operator::LevelledOp { manp, .. } => {
-                format!("{index} [label = \"{{%{index} = LevelledOp({input_string}) |{{manp:|{manp:?}}}}}\" fillcolor={color}];")
+            Operator::LevelledOp { weights, .. } => {
+                format!("{index} [label = \"{{%{index} = LevelledOp({input_string}) |{{weights:|{weights:?}}}| {{loc:|{location}}}}}\" fillcolor={color}];")
             }
             Operator::UnsafeCast { out_precision, .. } => format!(
-                "{index} [label = \"{{%{index} = UnsafeCast({input_string}) |{{out_precision:|{out_precision:?}}}}}\" fillcolor={color}];"
+                "{index} [label = \"{{%{index} = UnsafeCast({input_string}) |{{out_precision:|{out_precision:?}}}| {{loc:|{location}}}}}\" fillcolor={color}];"
             ),
             Operator::Round { out_precision, .. } => {
-                format!("{index} [label = \"{{%{index} = Round({input_string}) |{{out_precision:|{out_precision:?}}}}}\" fillcolor={color}];",)
+                format!("{index} [label = \"{{%{index} = Round({input_string}) |{{out_precision:|{out_precision:?}}}| {{loc:|{location}}}}}\" fillcolor={color}];",)
+            }
+            Operator::ChangePartition { .. } => {
+                format!("{index} [label = \"{{%{index} = ChangePartition({input_string})}}\" fillcolor={color}];",)
             }
         }
     }
diff --git a/docker/Dockerfile.concrete-compiler-env b/docker/Dockerfile.concrete-compiler-env
index 0f05601fd..467dcd77a 100644
--- a/docker/Dockerfile.concrete-compiler-env
+++ b/docker/Dockerfile.concrete-compiler-env
@@ -19,7 +19,7 @@ RUN ccache -F 0
 # Install Rust
 RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
 ENV PATH=/root/.cargo/bin:$PATH
-RUN rustup install nightly-2024-01-31
+RUN rustup install nightly-2024-07-01
 SHELL ["/bin/bash", "-c"]
 # Install boost
 ADD https://boostorg.jfrog.io/artifactory/main/release/1.71.0/source/boost_1_71_0.tar.gz /boost_1_71_0.tar.gz
@@ -31,7 +31,6 @@ COPY --from=ghcr.io/zama-ai/hpx:latest /hpx /hpx
 ENV HPX_INSTALL_DIR=/hpx/build
 # Setup CUDA
 COPY --from=ghcr.io/zama-ai/cuda:11-8 /usr/local/cuda-11.8/ /usr/local/cuda-11.8/
-COPY --from=ghcr.io/zama-ai/cuda:11-8 /usr/lib64/libcuda.so* /usr/lib64/
 ENV PATH "$PATH:/usr/local/cuda-11.8/bin"
 # Set the python path. Options: [cp37-cp37m, cp38-cp38, cp39-cp39, cp310-cp310]
 # Links and env would be available to use the appropriate python version
@@ -45,7 +44,7 @@ RUN pip install numpy pybind11==2.8 PyYAML pytest wheel auditwheel
 COPY / /workdir
 WORKDIR /workdir/compilers/concrete-compiler/compiler
 RUN mkdir -p /build
-RUN --mount=type=ssh make DATAFLOW_EXECUTION_ENABLED=ON BUILD_DIR=/build CCACHE=ON \
+RUN make DATAFLOW_EXECUTION_ENABLED=ON BUILD_DIR=/build CCACHE=ON \
     Python3_EXECUTABLE=${PYTHON_EXEC} \
     concretecompiler python-bindings
 ENV PYTHONPATH "$PYTHONPATH:/build/tools/concretelang/python_packages/concretelang_core"
diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md
index b6aed9bad..512917194 100644
--- a/docs/SUMMARY.md
+++ b/docs/SUMMARY.md
@@ -7,15 +7,14 @@
 * [What is Concrete?](get-started/readme.md)
 * [Installation](get-started/installing.md)
 * [Quick start](get-started/quick_start.md)
-* [Compatibility](get-started/compatibility.md)
+* [Quick overview](get-started/quick_overview.md)
 * [Terminology](get-started/terminology.md)
 
-## Core features
+## Operations
 
-* [Overview](core-features/fhe_basics.md)
-* [Table lookups (basics)](core-features/table_lookups.md)
+* [Table Lookups basics](core-features/table_lookups.md)
 * [Non-linear operations](core-features/non_linear_operations.md)
-* Advanced features
+* Other operations
   * [Bit extraction](core-features/bit_extraction.md)
   * [Common tips](core-features/workarounds.md)
   * [Extensions](core-features/extensions.md)
@@ -36,6 +35,7 @@
 
 * [Simulation](execution-analysis/simulation.md)
 * [Debugging and artifact](execution-analysis/debug.md)
+* [Performance](optimization/summary.md)
 * [GPU acceleration](execution-analysis/gpu_acceleration.md)
 * Other
   * [Statistics](compilation/statistics.md)
@@ -47,6 +47,19 @@
 * [Configure](guides/configure.md)
 * [Manage keys](guides/manage_keys.md)
 * [Deploy](guides/deploy.md)
+* [Optimization](optimization/self.md)
+  * [Improve parallelism](optimization/improve-parallelism/self.md)
+    * [Dataflow parallelism](optimization/improve-parallelism/dataflow.md)
+    * [Tensorizing operations](optimization/improve-parallelism/tensorization.md)
+  * [Optimize table lookups](optimization/optimize-table-lookups/self.md)
+    * [Reducing TLU](optimization/optimize-table-lookups/reducing-amount.md)
+    * [Implementation strategies](optimization/optimize-table-lookups/strategies.md)
+    * [Round/truncating](optimization/optimize-table-lookups/round-truncate.md)
+    * [Approximate mode](optimization/optimize-table-lookups/approximate.md)
+    * [Bit extraction](optimization/optimize-table-lookups/bit-extraction.md)
+  * [Optimize cryptographic parameters](optimization/optimize-cryptographic-parameters/self.md)
+    * [Error probability](optimization/optimize-cryptographic-parameters/p-error.md)
+    * [Composition](optimization/optimize-cryptographic-parameters/composition.md)
 
 ## Tutorials
 
@@ -57,12 +70,13 @@
 ## References
 
 * [API](dev/api/README.md)
+* [Supported operations](dev/compatibility.md)
 
 ## Explanations
 
 * [Compiler workflow](dev/compilation/compiler_workflow.md)
-* Compiler internals
-  * [Table lookups](core-features/table_lookups_advanced.md)
+* Advanced features
+  * [Table Lookups advanced](core-features/table_lookups_advanced.md)
   * [Rounding](core-features/rounding.md)
   * [Truncating](core-features/truncating.md)
   * [Floating points](core-features/floating_points.md)
@@ -71,25 +85,26 @@
   * [Bitwise operations](core-features/bitwise.md)
   * [Direct circuits](compilation/direct_circuits.md)
   * [Tagging](core-features/tagging.md)
+* [Cryptography basics](core-features/fhe_basics.md)
 * [Security](explanations/security.md)
 * [Frontend fusing](explanations/fusing.md)
 
 ## Developers
 
 * [Contributing](dev/contributing.md)
+  * [Project layout](explanations/layout.md)
+  * [Compiler backend](explanations/backends/README.md)
+    * [Adding a new backend](explanations/backends/new_backend.md)
+  * [Optimizer](explanations/optimizer.md)
+  * [MLIR FHE dialects](explanations/dialects.md)
+    * [FHELinalg dialect](explanations/FHELinalgDialect.md)
+    * [FHE dialect](explanations/FHEDialect.md)
+    * [TFHE dialect](explanations/TFHEDialect.md)
+    * [Concrete dialect](explanations/ConcreteDialect.md)
+    * [Tracing dialect](explanations/TracingDialect.md)
+    * [Runtime dialect](explanations/RTDialect.md)
+    * [SDFG dialect](explanations/SDFGDialect.md)
+  * [Call FHE circuits from other languages](explanations/call_from_other_language.md)
 * [Release note](https://github.com/zama-ai/concrete/releases)
 * [Feature request](https://github.com/zama-ai/concrete/issues/new?assignees=\&labels=feature\&projects=\&template=features.md)
 * [Bug report](https://github.com/zama-ai/concrete/issues/new?assignees=\&labels=bug%2C+triage\&projects=\&template=bug_report.md)
-* [Project layout](explanations/layout.md)
-* [Compiler backend](explanations/backends/README.md)
-  * [Adding a new backend](explanations/backends/new_backend.md)
-* [Optimizer](explanations/optimizer.md)
-* [MLIR FHE dialects](explanations/dialects.md)
-  * [FHELinalg dialect](explanations/FHELinalgDialect.md)
-  * [FHE dialect](explanations/FHEDialect.md)
-  * [TFHE dialect](explanations/TFHEDialect.md)
-  * [Concrete dialect](explanations/ConcreteDialect.md)
-  * [Tracing dialect](explanations/TracingDialect.md)
-  * [Runtime dialect](explanations/RTDialect.md)
-  * [SDFG dialect](explanations/SDFGDialect.md)
-* [Call FHE circuits from other languages](explanations/call_from_other_language.md)
diff --git a/docs/_static/compilation/performance_tips/complexity_and_timing_per_bit_width.png b/docs/_static/compilation/performance_tips/complexity_and_timing_per_bit_width.png
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diff --git a/docs/application-tutorial/sha256.ipynb b/docs/application-tutorial/sha256.ipynb
deleted file mode 100644
index c0b84aaea..000000000
--- a/docs/application-tutorial/sha256.ipynb
+++ /dev/null
@@ -1,763 +0,0 @@
-{
-  "cells": [
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "_FTzVxUkjQno"
-      },
-      "source": [
-        "# SHA-256 Implementation Using Concrete\n",
-        "\n",
-        "In this tutorial, we will explore the implementation of SHA-256, a widely used hashing algorithm, using concrete-python. Details about the algorithm can be found [here](https://en.wikipedia.org/wiki/SHA-2).\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 1,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "zXozpJvmcBH1",
-        "outputId": "79dfc00b-10cc-4ffd-d4b9-a10f18d8d01e"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
-            "Requirement already satisfied: concrete-python in /usr/local/lib/python3.10/dist-packages (1.0.0)\n",
-            "Requirement already satisfied: numpy>=1.23 in /usr/local/lib/python3.10/dist-packages (from concrete-python) (1.24.3)\n",
-            "Requirement already satisfied: scipy>=1.10 in /usr/local/lib/python3.10/dist-packages (from concrete-python) (1.10.1)\n",
-            "Requirement already satisfied: torch>=1.13 in /usr/local/lib/python3.10/dist-packages (from concrete-python) (2.0.0+cu118)\n",
-            "Requirement already satisfied: networkx>=2.6 in /usr/local/lib/python3.10/dist-packages (from concrete-python) (3.1)\n",
-            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->concrete-python) (4.5.0)\n",
-            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->concrete-python) (2.0.0)\n",
-            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->concrete-python) (1.11.1)\n",
-            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->concrete-python) (3.1.2)\n",
-            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->concrete-python) (3.12.0)\n",
-            "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.13->concrete-python) (3.25.2)\n",
-            "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.13->concrete-python) (16.0.2)\n",
-            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.13->concrete-python) (2.1.2)\n",
-            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.13->concrete-python) (1.3.0)\n"
-          ]
-        }
-      ],
-      "source": [
-        "# Uncomment this line to install dependency\n",
-        "# ! pip install concrete-python\n",
-        "\n",
-        "# Required libraries\n",
-        "from concrete import fhe\n",
-        "import numpy as np"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "oCfjYazikbm_"
-      },
-      "source": [
-        "## Data Representation\n",
-        "As mentioned in the wiki page, all variables are $32$-bit unsigned integers. Additions should be calculated modulo $2^{32}$.\n",
-        "\n",
-        "While addition of 32-bit numbers are possible in the library, any other operations such modulizing, rotations, and bitwise operations are currently not possible. These operations require a lookup table with 32-bit inputs, but as of writing this tutorial, concrete-python supports up to 16-bit lookup tables. Higher precision lookup tables is still a research challenge in the homomorphic world and such a table would be dificult to compile and store at this moment.\n",
-        "\n",
-        "Thus, we need to break all the variables to **chunks** and work at the chunk level. Throughtout the code, *WIDTH* refers to the bitwidth of a chunk, and *NUM_CHUNKS* shows the number of chunks we need to represent a 32-bit data. These parameters are set at the begining of the code. We vary these parameters to see the impact of the *WIDTH* on the performance of the compiler and the circuit.\n",
-        "\n",
-        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-        "\n",
-        "Figure 1: Shows a break down of 32 bit of data into 4 chunks of 8 bit. This is not the only way to chunk the input."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 2,
-      "metadata": {
-        "id": "yaz8cNzjQ1UW"
-      },
-      "outputs": [],
-      "source": [
-        "# Bitwidth of each chunk and number of chunks in each 32-bit number.\n",
-        "WIDTH, NUM_CHUNKS= 4, 8\n",
-        "\n",
-        "## Some other valid parameter sets\n",
-        "# WIDTH, NUM_CHUNKS= 8, 4\n",
-        "# WIDTH, NUM_CHUNKS= 2, 16\n",
-        "\n",
-        "assert (WIDTH * NUM_CHUNKS == 32)\n",
-        "\n",
-        "def break_down_data(data, data_size):\n",
-        "    all_chunks = [\n",
-        "        [ (x >> i*WIDTH)%(2**WIDTH) for i in range(data_size//WIDTH)[::-1] ]\n",
-        "        for x in data\n",
-        "    ]\n",
-        "    return all_chunks\n",
-        "\n",
-        "def reshape_data(data):\n",
-        "    return np.array(data).reshape(-1, NUM_CHUNKS)\n",
-        "\n",
-        "def chunks_to_uint32(chunks):\n",
-        "    return int(sum([2**((NUM_CHUNKS-1-i)*WIDTH)*x for i, x in enumerate(chunks)]))\n",
-        "\n",
-        "def chunks_to_hexarray(chunks):\n",
-        "    hexes = [hex(chunks_to_uint32(word))[2:] for word in chunks]\n",
-        "    hexes = ['0'*(8-len(y))+y for y in hexes] #Appending leadning zero to the ones that are less than 8 characters TODO: write better\n",
-        "    result = \"\".join(hexes)\n",
-        "    return result\n"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "u7pA-B3As9u4"
-      },
-      "source": [
-        "### Creating Chunks\n",
-        "There are two list of constants in the algorithm, K and H. Before executing the algorithm, we need to break them to chunks using `split_to_chunks` function.\n",
-        "\n",
-        "\n",
-        "The input of the algorithm is arbitrary bytes. We might need to break each byte to smaller chunks based on the value of *WIDTH* after padding the data as per instructed by the algorithm. `break_down_data` function returns a numpy array of shape (48,NUM_CHUNKS)"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "b8rlvVf42CIa"
-      },
-      "source": [
-        "## Operations\n",
-        "Now that the data is stores as chunks, we must modify all operations we need to work at the level of chunks. In this section we explain how we implemented the required operations. The main three category of operations that we need to implement SHA-256 are:\n",
-        "\n",
-        "*   Bitwise operations (AND, OR, XOR, NEGATE)\n",
-        "*   Shifts and Rotations\n",
-        "*   Modular Addition "
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "zlM1RN-NnjDn"
-      },
-      "source": [
-        "### Bitwise Operations\n",
-        "Bitwise operations are easily implemented in concrete-numpy. A bitwise operation over a 32-bit number is equivalent to the same operation over the chunks."
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "CxCwJOao2KCt"
-      },
-      "source": [
-        "### Rotation and Shifts\n",
-        "To understand how rotations work, consider a small example with 4 chunks of width 4, representing a 16-bit number, as shown in Figure 1. Most significant bits are located at index 0. So a 16-bit number will be `[[chunk_0], [chunk_1], [chunk_2], [chunk_3]]` with WIDTH=4. There are two possible scenario for rotations:\n",
-        "\n",
-        "1. Any rotation by a multiple of WIDTH (in this case, 4) will result in rotating the array of chunks. For example, right rotate(4) will be `[[chunk_3], [chunk_0], [chunk_1], [chunk_2]]`.\n",
-        "\n",
-        "2. For rotations less than WIDTH, for example `y`, we break every chunk into two parts of bitlength, `WIDTH-y` and `y`. We need to add the low `y`-bits of each chunk with the high `WIDTH-y` bits of the next chunk. Figure 2 illustrated this process. We leverage two lookup tables to extract the two segments of each chunk.\n",
-        "<!-- `table_extract_low_bits_and_raise` extracts the low `y`-bits of each chunk and places them in the MSB of the chunk. `table_extract_high_bits` extracts WIDTH-y most significant bits of each chunk. -->\n",
-        "\n",
-        "3. Rotations by other amounts are broken into the two steps described above.\n",
-        "\n",
-        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-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "575ogsJhFDIo"
-      },
-      "source": [
-        "### Shift\n",
-        "The shift operation is the same as rotation, but we prepend the encrypted scalar zero when we move the bits to the right."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 3,
-      "metadata": {
-        "id": "TRAFRZime-Jv"
-      },
-      "outputs": [],
-      "source": [
-        "def right_rotate_list_of_chunks(list_to_rotate, amount):\n",
-        "    return np.concatenate((\n",
-        "        list_to_rotate[-amount:],\n",
-        "        list_to_rotate[:-amount]\n",
-        "    ))\n",
-        "    \n",
-        "def right_shift_list_of_chunks(list_to_rotate, amount):\n",
-        "    return np.concatenate((\n",
-        "        [0] * list_to_rotate[-amount:].shape[0] ,\n",
-        "        list_to_rotate[:- amount]\n",
-        "    ))\n",
-        "        \n",
-        "def left_shift_list_of_chunks(list_to_rotate, amount):\n",
-        "    return np.concatenate((\n",
-        "        list_to_rotate[amount:] ,\n",
-        "        [0] * list_to_rotate[:amount].shape[0]\n",
-        "    ))\n",
-        "\n",
-        "def rotate_less_than_width(chunks, shift):\n",
-        "    raised_low_bits = fhe.univariate(lambda x: (x % 2**shift) << (WIDTH-shift))(chunks)\n",
-        "    shifted_raised_low_bits = right_rotate_list_of_chunks(raised_low_bits, 1)\n",
-        "\n",
-        "    high_bits = chunks >> shift\n",
-        "    return shifted_raised_low_bits + high_bits\n",
-        "\n",
-        "def right_rotate(chunks, rotate_amount):\n",
-        "    x = rotate_amount // WIDTH\n",
-        "    y = rotate_amount % WIDTH\n",
-        "    if x != 0:    \n",
-        "        rotated_chunks = right_rotate_list_of_chunks(chunks, x)\n",
-        "    else:\n",
-        "        rotated_chunks = chunks\n",
-        "    if y != 0:\n",
-        "        rotated = rotate_less_than_width(rotated_chunks, y)\n",
-        "    else:\n",
-        "        rotated = rotated_chunks\n",
-        "\n",
-        "    return rotated\n",
-        "\n",
-        "def right_shift(chunks, shift_amount):\n",
-        "    x = shift_amount // WIDTH\n",
-        "    y = shift_amount % WIDTH\n",
-        "    if x != 0:\n",
-        "        shifted_chunks = right_shift_list_of_chunks(chunks, x)\n",
-        "    else:\n",
-        "        shifted_chunks = chunks\n",
-        "    if y != 0:\n",
-        "        # shift within chunks\n",
-        "        raised_low_bits = fhe.univariate(lambda x: (x % 2**y) << (WIDTH-y))(shifted_chunks)\n",
-        "        shifted_raised_low_bits = right_shift_list_of_chunks(raised_low_bits, 1)\n",
-        "        high_bits = shifted_chunks >> y\n",
-        "        result = shifted_raised_low_bits + high_bits\n",
-        "    else:\n",
-        "        result = shifted_chunks\n",
-        "    return result"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "SKg8mKFOPXSV"
-      },
-      "source": [
-        "### Modular 32-bit Addition\n",
-        "Modular 32-bit addition is frequently used in SHA256. While Concrete supports additions of 32-bit numbers, modulizing the result requires a lookup table which is too large for Concrete. Hence, the addition must be done over chunks.\n",
-        "\n",
-        "Below is the function to add two 32-bit numbers mod $2^{32}$."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 4,
-      "metadata": {
-        "id": "EJEPvp2wQms9"
-      },
-      "outputs": [],
-      "source": [
-        "def add_two_32_bits(a,b):\n",
-        "    added = np.sum([a,b], axis=0)\n",
-        "\n",
-        "    for i in range(NUM_CHUNKS):\n",
-        "        results = added % (2 ** WIDTH)\n",
-        "        if i < NUM_CHUNKS-1:\n",
-        "            carries = added >> WIDTH\n",
-        "            added = left_shift_list_of_chunks(carries, 1) + results\n",
-        "\n",
-        "    return results\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 5,
-      "metadata": {
-        "id": "Uo6o_QMQn_fw"
-      },
-      "outputs": [],
-      "source": [
-        "# Testing the addition function, adding four 32-bit numbers\n",
-        "test_inputs = np.random.randint(0,2**32, size=(2,))\n",
-        "input_chunks = break_down_data(test_inputs, 32)\n",
-        "\n",
-        "assert(chunks_to_uint32(add_two_32_bits(input_chunks[0], input_chunks[1]))== np.sum(test_inputs) % (2**32))"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "IOr8DTRJRYTl"
-      },
-      "source": [
-        "Adding two 4-bit numbers results in a 5-bit number. We then use two lookup tables:\n",
-        "\n",
-        "*   `extract_carry` which extracts the carry of adding two chunks\n",
-        "*   `extract_result` which extracts the 4-bit chunk which results from adding two chunks (without the carry)\n",
-        "\n",
-        "Each carry must now be added to the chunk next chunk and this process is repeated for as many chunks as there are. The figure below illustrates this process.\n",
-        "\n",
-        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)\n",
-        "\n"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "4-dQk0wbtPOe"
-      },
-      "source": [
-        "The benefit of this addition algorithm is that it can be extended to the case where more two 32-bit numbers are added. The only difference is that the carry from the first iteration of the loop can be larger than 1. Specifically, by adding $k$ 4-bit numbers, the carry can be as big as $\\log_2 k$. For correctness, $\\log_2 k$ must be less than 4 or $k<16$.\n",
-        "\n",
-        "In our implementation of SHA-256, we only have two input and four input additions, so we only implement those.\n",
-        "\n",
-        "For four input addition, he first iteration of the loop, we use a different lookup table that extract a 2-bit carry and rest of the chunk. The rest of the algorithm does not change."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 6,
-      "metadata": {
-        "id": "obO8wHRbXHfj"
-      },
-      "outputs": [],
-      "source": [
-        "def add_four_32_bits(a,b,c,d):\n",
-        "    added = np.sum([a,b,c,d], axis=0)\n",
-        "    \n",
-        "    # First iteration of the loop is seperated\n",
-        "    carries = added >> WIDTH\n",
-        "    results = added % (2**WIDTH)\n",
-        "    shifted_carries = left_shift_list_of_chunks(carries, 1)\n",
-        "    added = shifted_carries + results\n",
-        "\n",
-        "    for i in range(1,NUM_CHUNKS):\n",
-        "        results = added % (2**WIDTH)\n",
-        "        \n",
-        "        # In the last iteration, carries need not be calculated\n",
-        "        if i != NUM_CHUNKS-1: \n",
-        "            carries = added >> WIDTH\n",
-        "            shifted_carries = left_shift_list_of_chunks(carries, 1)\n",
-        "            added = shifted_carries + results\n",
-        "\n",
-        "    return results"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 7,
-      "metadata": {
-        "id": "zcwnDdPFdqE1"
-      },
-      "outputs": [],
-      "source": [
-        "# Testing the addition function, adding four 32-bit numbers\n",
-        "\n",
-        "for _ in range(1000):\n",
-        "    test_inputs = np.random.randint(0,2**32, size=(4,))\n",
-        "    input_chunks = break_down_data(test_inputs, 32)\n",
-        "\n",
-        "    assert(chunks_to_uint32(add_four_32_bits(input_chunks[0], input_chunks[1], input_chunks[2], input_chunks[3]))== np.sum(test_inputs) % (2**32))"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "1g6eEdhGoJl9"
-      },
-      "source": [
-        "## Operations for SHA-256\n",
-        "\n",
-        "Using the basic operations from the previous section, we can now implement all the necessary functions for SHA256"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 8,
-      "metadata": {
-        "id": "uo7HfO1DpVFK"
-      },
-      "outputs": [],
-      "source": [
-        "# Used in the expansion\n",
-        "\n",
-        "def s0(w):\n",
-        "    return right_rotate(w, 7) ^ right_rotate(w, 18) ^ right_shift(w, 3)\n",
-        "\n",
-        "def s1(w):\n",
-        "    return right_rotate(w, 17) ^ right_rotate(w, 19) ^ right_shift(w, 10)\n",
-        "\n",
-        "# Used in main loop\n",
-        "\n",
-        "def S0(a_word):\n",
-        "    return right_rotate(a_word, 2) ^ right_rotate(a_word, 13) ^ right_rotate(a_word, 22)\n",
-        "\n",
-        "def S1(e_word):\n",
-        "    return right_rotate(e_word, 6) ^ right_rotate(e_word, 11) ^ right_rotate(e_word, 25)\n",
-        "\n",
-        "def Ch(e_word, f_word, g_word):\n",
-        "    return (e_word & f_word) ^ ((2**WIDTH-1 - e_word) & g_word)\n",
-        "\n",
-        "def Maj(a_word, b_word, c_word):\n",
-        "    return (a_word & b_word) ^ (a_word & c_word) ^ (b_word & c_word)\n",
-        "\n",
-        "def main_loop(args, w_i_plus_k_i):\n",
-        "    a, b, c, d, e, f, g, h = args\n",
-        "    temp1 = add_four_32_bits(h,S1(e),Ch(e, f, g), w_i_plus_k_i)\n",
-        "    temp2 = add_two_32_bits(S0(a), Maj(a, b, c))\n",
-        "    new_a = add_two_32_bits(temp1, temp2)\n",
-        "    new_e = add_two_32_bits(d, temp1)\n",
-        "    return np.array([new_a, a, b, c, new_e, e, f, g])"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "biM997KmvwUL"
-      },
-      "source": [
-        "We also need a function to pad the input as the first step of SHA256."
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "fZ-3sEH5vopA"
-      },
-      "source": [
-        "Moreover, we need a function to parse the input given to the program. The input is given as bytes, but the chunks might be smaller. We extract smaller chunks from bytes using lookup tables."
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "L4leg-z_skkU"
-      },
-      "source": [
-        "## Bringing it all together\n",
-        "Using all the components from the above, we can implement SHA256 as shown below."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 9,
-      "metadata": {
-        "id": "tmSfvdpyrwUx"
-      },
-      "outputs": [],
-      "source": [
-        "K = [\n",
-        "    0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5, 0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5,\n",
-        "    0xd807aa98, 0x12835b01, 0x243185be, 0x550c7dc3, 0x72be5d74, 0x80deb1fe, 0x9bdc06a7, 0xc19bf174,\n",
-        "    0xe49b69c1, 0xefbe4786, 0x0fc19dc6, 0x240ca1cc, 0x2de92c6f, 0x4a7484aa, 0x5cb0a9dc, 0x76f988da,\n",
-        "    0x983e5152, 0xa831c66d, 0xb00327c8, 0xbf597fc7, 0xc6e00bf3, 0xd5a79147, 0x06ca6351, 0x14292967,\n",
-        "    0x27b70a85, 0x2e1b2138, 0x4d2c6dfc, 0x53380d13, 0x650a7354, 0x766a0abb, 0x81c2c92e, 0x92722c85,\n",
-        "    0xa2bfe8a1, 0xa81a664b, 0xc24b8b70, 0xc76c51a3, 0xd192e819, 0xd6990624, 0xf40e3585, 0x106aa070,\n",
-        "    0x19a4c116, 0x1e376c08, 0x2748774c, 0x34b0bcb5, 0x391c0cb3, 0x4ed8aa4a, 0x5b9cca4f, 0x682e6ff3,\n",
-        "    0x748f82ee, 0x78a5636f, 0x84c87814, 0x8cc70208, 0x90befffa, 0xa4506ceb, 0xbef9a3f7, 0xc67178f2\n",
-        "]\n",
-        "H = [0x6a09e667,0xbb67ae85,0x3c6ef372,0xa54ff53a,0x510e527f,0x9b05688c,0x1f83d9ab,0x5be0cd19]"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 10,
-      "metadata": {
-        "id": "NHGCiC-Gk_tw"
-      },
-      "outputs": [],
-      "source": [
-        "k_in = reshape_data(break_down_data(K, 32))\n",
-        "h_in = reshape_data(break_down_data(H, 32))"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 11,
-      "metadata": {
-        "id": "yTiMkmBsHmKy"
-      },
-      "outputs": [],
-      "source": [
-        "def uint64_to_bin(uint64 : int):\n",
-        "    return (\"\".join([str(uint64 >> i & 1) for i in range(63, -1, -1)]))\n",
-        "\n",
-        "def sha256_preprocess(text):\n",
-        "    \"\"\"\n",
-        "      Takes a message of arbitrary length and returns a message\n",
-        "      of length that is a multiple of 512 bits, with the original message padded\n",
-        "      with a 1 bit, followed by 0 bits, followed by the original message length\n",
-        "      in bits\n",
-        "    \"\"\"\n",
-        "    data = text\n",
-        "    # convert to uint4 and group into 32 bit words (8 uint4s)\n",
-        "    # #log (\"data is:\", data, data.shape)\n",
-        "    message_len = data.shape[0] * 8 # denoted as 'l' in spec\n",
-        "    # find padding length 'k'\n",
-        "    k = (((448 - 1 - message_len) % 512) + 512) % 512 \n",
-        "    # #log (\"k is:\", k)\n",
-        "    zero_pad_width_in_bits = k\n",
-        "    padstring = \"1\" + \"0\" * zero_pad_width_in_bits + str(uint64_to_bin(message_len))\n",
-        "    #log (\"padstring size:\", len(padstring))\n",
-        "    #log (\"padstring is:\", padstring)\n",
-        "\n",
-        "    total_size = len(padstring) + message_len\n",
-        "    #log (\"total size:\", total_size)\n",
-        "    assert total_size % 512 == 0\n",
-        "\n",
-        "    pad = np.array([int(padstring[i:i+8], 2) for i in range(0, len(padstring), 8)], dtype=np.uint8)\n",
-        "    padded = np.concatenate((data, pad))\n",
-        "    words = break_down_data(padded, 8)\n",
-        "    chunks = reshape_data(words)\n",
-        "    return chunks"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 12,
-      "metadata": {
-        "id": "3ox6Zs-ysoLr"
-      },
-      "outputs": [],
-      "source": [
-        "# Number of rounds must be 64 to have correct SHA256\n",
-        "# If looking to get a faster run, reduce the number of rounds (but it will not be correct)\n",
-        "\n",
-        "def sha256(data, number_of_rounds=64):\n",
-        "    h_chunks = fhe.zeros((len(h_in), NUM_CHUNKS))\n",
-        "    k_chunks = fhe.zeros((len(k_in), NUM_CHUNKS))\n",
-        "    h_chunks += h_in\n",
-        "    k_chunks += k_in\n",
-        "\n",
-        "    num_of_iters = data.shape[0]*32//512\n",
-        "    for chunk_iter in range(0, num_of_iters):\n",
-        "        \n",
-        "        # Initializing the variables\n",
-        "        chunk = data[chunk_iter*16:(chunk_iter+1)*16]\n",
-        "        w = [None for _ in range(number_of_rounds)]\n",
-        "        # Starting the main loop and expansion\n",
-        "        working_vars = h_chunks\n",
-        "        for j in range(0, number_of_rounds):\n",
-        "            if j<16:\n",
-        "                w[j] = chunk[j]\n",
-        "            else:\n",
-        "                w[j] = add_four_32_bits(w[j-16], s0(w[j-15]), w[j-7], s1(w[j-2]))\n",
-        "            w_i_k_i = add_two_32_bits(w[j], k_chunks[j])\n",
-        "            working_vars = main_loop(working_vars,w_i_k_i)\n",
-        "        \n",
-        "        # Accumulating the results\n",
-        "        for j in range(8):\n",
-        "            h_chunks[j] = add_two_32_bits(h_chunks[j], working_vars[j])\n",
-        "    return h_chunks"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "w89rhSOh4In2"
-      },
-      "source": [
-        "We can test the correctness of this function as below (this is not in encrypted form yet)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 13,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "006LZp7c0yBA",
-        "outputId": "31588127-23e9-4b49-e481-d14842e336e7"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "    SHA256: a412c46b0be134c593b0ad520d4a4c4e1d8aecca799be0be2c4d233ccf455cb7\n",
-            "Our SHA256: a412c46b0be134c593b0ad520d4a4c4e1d8aecca799be0be2c4d233ccf455cb7\n",
-            "Match: True\n"
-          ]
-        }
-      ],
-      "source": [
-        "import hashlib\n",
-        "text = (\n",
-        "    b\"Lorem ipsum dolor sit amet, consectetur adipiscing elit. \"\n",
-        "    b\"Curabitur bibendum, urna eu bibendum egestas, neque augue eleifend odio, et sagittis viverra. and more than 150\"\n",
-        ")\n",
-        "\n",
-        "result = sha256(sha256_preprocess(np.frombuffer(text, dtype=np.uint8)))\n",
-        "\n",
-        "m = hashlib.sha256()\n",
-        "m.update(text)\n",
-        "\n",
-        "print(\"    SHA256:\", m.hexdigest())\n",
-        "print(\"Our SHA256:\", chunks_to_hexarray(result))\n",
-        "print(\"Match:\", chunks_to_hexarray(result)==m.hexdigest())"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 14,
-      "metadata": {
-        "id": "1uHN9GXgla_z"
-      },
-      "outputs": [],
-      "source": [
-        "class HomomorphicSHA:\n",
-        "    circuit: fhe.Circuit\n",
-        "    def __init__(self, input_size_in_bytes=150, number_of_rounds=64) -> None:\n",
-        "        self.input_size_in_bytes=input_size_in_bytes\n",
-        "        assert 0 <= number_of_rounds <= 64, \"Number of rounds must be betweem zero and 64\"\n",
-        "        self.number_of_rounds=number_of_rounds\n",
-        "        inputset=[\n",
-        "            sha256_preprocess(np.random.randint(0, 2**8, size=(input_size_in_bytes,)))\n",
-        "            for _ in range(100)\n",
-        "        ]\n",
-        "        # Compilation of the circuit should take a few minutes\n",
-        "        compiler = fhe.Compiler(lambda data: sha256(data, self.number_of_rounds), {\"data\": \"encrypted\"})\n",
-        "        self.circuit = compiler.compile(\n",
-        "            inputset=inputset,\n",
-        "            configuration=fhe.Configuration(\n",
-        "                enable_unsafe_features=True,\n",
-        "                use_insecure_key_cache=True,\n",
-        "                insecure_key_cache_location=\".keys\",\n",
-        "                dataflow_parallelize=True,\n",
-        "            ),\n",
-        "            verbose=False,\n",
-        "        )\n",
-        "    \n",
-        "    def getSHA(self, data):\n",
-        "        assert len(data) == self.input_size_in_bytes, f\"Input size is not correct, should be {self.input_size_in_bytes} bytes/characters\"\n",
-        "        return self.circuit.encrypt_run_decrypt(sha256_preprocess(data))\n",
-        "\n",
-        "    def getPlainSHA(self, data):\n",
-        "        return sha256(sha256_preprocess(data), self.number_of_rounds)"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "SpxY6dScee-k"
-      },
-      "source": [
-        "Now we are ready to compile the circuit! Note that **the compilation will take a long time**, so if you are looking to get a test run, you can set the number of rounds to something smaller than 64."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 15,
-      "metadata": {
-        "id": "P0cMOZUGee-k"
-      },
-      "outputs": [],
-      "source": [
-        "# Warning: This will compile the circuit and will take a few minutes\n",
-        "\n",
-        "input_size_in_bytes = 150\n",
-        "running_small_example=True\n",
-        "\n",
-        "if running_small_example:\n",
-        "    number_of_rounds = 2\n",
-        "    sha = HomomorphicSHA(input_size_in_bytes, number_of_rounds)\n",
-        "else:\n",
-        "    sha = HomomorphicSHA(input_size_in_bytes)"
-      ]
-    },
-    {
-      "attachments": {},
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "zz1rd7VWee-k"
-      },
-      "source": [
-        "And after compilation, we are ready to run the circuit. Remember that the input size has to match what you gave in the previous cell. Our function will check this first to make sure the input is of the correct size. "
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 16,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "EkF0UxTcv_cQ",
-        "outputId": "c4e2c710-02bc-40e2-a921-4a29ac88380b"
-      },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "This cell is disabled. It can takes hours. If you want to run this cell, set accept_a_very_long_run=True\n"
-          ]
-        }
-      ],
-      "source": [
-        "# WARNING: This takes a LONG time\n",
-        "accept_a_very_long_run = False\n",
-        "if not accept_a_very_long_run:\n",
-        "     print(\"This cell is disabled. It can takes hours. If you want to run this cell, set accept_a_very_long_run=True\")\n",
-        "else:\n",
-        "    text = (\n",
-        "        b\"Lorem ipsum dolor sit amet, consectetur adipiscing elit. \"\n",
-        "        b\"Curabitur bibendum, urna eu bibendum egestas, neque augue eleifend odio, et sagittis viverra.\"\n",
-        "    )\n",
-        "    input_bytes = np.frombuffer(text, dtype=np.uint8)\n",
-        "    encrypted_evaluation = sha.getSHA(input_bytes)\n",
-        "\n",
-        "    print(\"Encrypted Evaluation: \", chunks_to_hexarray(encrypted_evaluation))\n",
-        "    print(\"    Plain Evaluation: \", chunks_to_hexarray(sha.getPlainSHA(input_bytes)))"
-      ]
-    }
-  ],
-  "metadata": {
-    "colab": {
-      "provenance": []
-    },
-    "kernelspec": {
-      "display_name": "Python 3.10.7 64-bit",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.10.7"
-    },
-    "vscode": {
-      "interpreter": {
-        "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
-      }
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
diff --git a/docs/compilation/composing_functions_with_modules.md b/docs/compilation/composing_functions_with_modules.md
index 27f28345e..fa766b2cb 100644
--- a/docs/compilation/composing_functions_with_modules.md
+++ b/docs/compilation/composing_functions_with_modules.md
@@ -49,6 +49,12 @@ x_dec = CounterFhe.inc.decrypt(x_enc)
 assert x_dec == 15
 ```
 
+The keyset can be generated beforehand by calling `keygen()` method on the compiled module:
+
+```python
+CounterFhe.keygen()
+```
+
 ## Multi inputs / outputs
 
 Composition is not limited to single input / single output. Here is an example that computes the 10 first elements of the Fibonacci sequence in FHE:
diff --git a/docs/core-features/extensions.md b/docs/core-features/extensions.md
index a58624e56..7a2ab8fc7 100644
--- a/docs/core-features/extensions.md
+++ b/docs/core-features/extensions.md
@@ -548,6 +548,18 @@ Identity extension can be used to clone an input while changing its bit-width. I
 Identity extension only works in `Native` encoding, which is usually selected when all table lookups in the circuit are below or equal to 8 bits.
 {% endhint %}
 
+## fhe.refresh(value)
+
+It is similar to `fhe.identity` but with the extra guarantee that encryption noise is refreshed.
+
+{% hint style="info" %}
+Refresh is useful when you want to control precisely where encryption noise is refreshed in your circuit. For instance if your are using modules, sometimes compilation rejects the module because it's *not composable*. This happens because a function of the module never refresh the encryption noise. Adding a `return fhe.refresh(result)` on the function result solves the issue.
+{% endhint %}
+
+{% hint style="warning" %}
+Refresh extension only works in `Native` encoding, which is usually selected when all table lookups in the circuit are below or equal to 8 bits.
+{% endhint %}
+
 ## fhe.inputset(...)
 
 Used for creating a random inputset with the given specifications:
diff --git a/docs/core-features/fhe_basics.md b/docs/core-features/fhe_basics.md
index a940006b3..3f20a5d0e 100644
--- a/docs/core-features/fhe_basics.md
+++ b/docs/core-features/fhe_basics.md
@@ -1,4 +1,6 @@
-# Overview
+# Cryptography basics
+
+In this section, we remind a bit about what Fully Homomorphic Encryption (FHE) is. Much more complete resources are available on [this webpage](https://github.com/zama-ai/awesome-zama) or [fhe.org](https://fhe.org/resources/).
 
 ## Operations on encrypted values
 
@@ -77,30 +79,3 @@ The only thing you should keep in mind is that it adds a constraint on the input
 Second takeaway is that PBS are the most costly operations in FHE, the less PBS in your circuit the faster it will run. It is an interesting metrics to optimize (you will see that Concrete could give you the number of PBS used in your circuit).
 
 Note also that PBS cost varies with the input variable precision (a circuit with 8 bit PBS will run faster than one with 16 bits PBS).
-
-## Development Workflow
-
-Allowing computation on encrypted data is particularly interesting in the client/server model, especially when the client data are sensitive and the server not trusted. You could split the workflow in two main steps: development and deployment.
-
-### Development
-
-During development, you will turn your program into its FHE equivalent. Concrete automates this task with the compilation process but you can make this process even easier by reducing the precision required, reducing the number of PBSs or allowing more parallelization in your code (e.g. working on bit chunks instead of high bit-width variables).
-
-Once happy with the code, the development process is over and you will create the compiler artifact that will be used during deployment.
-
-### Deployment
-
-A typical Concrete deployment will host on a server the compilation artifact: Client specifications required by the compiled circuits and the fhe executable itself. Client will ask for the circuit requirements, generate keys accordingly, then it will send an encrypted payload and receive an encrypted result.
-
-```mermaid
-sequenceDiagram
-    Client->>Server: Client specifications?
-    Server-->>Client: Client specifications
-    Client->>Client: Private + Evaluation Keys Generation
-    Client->>Server: Encrypted(data) + Evaluation Key
-    Server->>Server: Compiled library execution
-    Server-->>Client: Encrypted(result)
-    Client->>Client: Decrypt(result)
-```
-
-For more information on deployment, see [Howto - Deploy](../guides/deploy.md)
diff --git a/docs/core-features/non_linear_operations.md b/docs/core-features/non_linear_operations.md
index c065abc39..65ddebf71 100644
--- a/docs/core-features/non_linear_operations.md
+++ b/docs/core-features/non_linear_operations.md
@@ -7,7 +7,7 @@ In Concrete, there are basically two types of operations:
 TLU are essential to be able to compile all functions, by keeping the semantic of user's program, but
 they can be slower, depending on the bitwidth of the inputs of the TLU.
 
-In this document, we explain briefly, from a user point of view, how it works for non-linear operations as comparisons, min/max, bitwise operations, shifts. In [the poweruser documentation](table_lookups_advanced.md), we enter a bit more into the details.
+In this document, we explain briefly, from a user point of view, how it works for non-linear operations as comparisons, min/max, bitwise operations, shifts. In [the TLU advanced documentation](table_lookups_advanced.md), we enter a bit more into the details.
 
 ## Changing bit width in the MLIR or dynamically with a TLU
 
diff --git a/docs/core-features/table_lookups.md b/docs/core-features/table_lookups.md
index 1b81e9271..88a7a9ed0 100644
--- a/docs/core-features/table_lookups.md
+++ b/docs/core-features/table_lookups.md
@@ -140,7 +140,7 @@ As we said in the beginning of this document, bitsize of the inputs of TLU are c
 
 For lot of use-cases, like for example in Machine Learning, it is possible to replace the table lookup `y = T[i]` by some `y = T'[i']`, where `i'` only has the most significant bits of `i` and `T'` is a much shorter table, and still maintain a good accuracy of the function. The interest of such a method stands in the fact that, since the table `T'` is much smaller, the corresponding TLU will be done much more quickly.
 
-There are different flavors of doing this in Concrete. We describe them quickly here, and refer the user to the [poweruser documentation](table_lookups_advanced.md) for more explanations.
+There are different flavors of doing this in Concrete. We describe them quickly here, and refer the user to the [TLU advanced documentation](table_lookups_advanced.md) for more explanations.
 
 The first possibility is to set `i'` as the truncation of `i`: here, we just take the most significant bits of `i`. This is done with `fhe.truncate_bit_pattern`.
 
diff --git a/docs/core-features/workarounds.md b/docs/core-features/workarounds.md
index 2bd8c7532..31cad722a 100644
--- a/docs/core-features/workarounds.md
+++ b/docs/core-features/workarounds.md
@@ -6,51 +6,9 @@ As explained in the [Basics of FHE](fhe\_basics.md), the challenge for developer
 All code snippets provided here are temporary workarounds. In future versions of Concrete, some functions described here could be directly available in a more generic and efficient form. These code snippets are coming from support answers in our [community forum](https://community.zama.ai)
 {% endhint %}
 
-## Minimum for Two values
+## Minimum/Maximum for several values
 
-In this first example, we compute a minimum by creating the difference between two numbers `y` and `x` and conditionally remove this diff from `y` to either get `x` if `y>x` or `y` if `x>y`:
-
-```python
-import numpy as np
-from concrete import fhe
-
-@fhe.compiler({"x": "encrypted", "y": "encrypted"})
-def min_two(x, y):
-	diff = y - x
-	min_x_y = y - np.maximum(y - x, 0)
-	return min_x_y
-
-inputset = [tuple(np.random.randint(0, 16, size=2)) for _ in range(50)]
-circuit = min_two.compile(inputset)
-
-x, y = np.random.randint(0, 16, size=2)
-assert circuit.encrypt_run_decrypt(x, y) == min(x, y)
-```
-
-## Maximum for Two values
-
-The companion example of above with the maximum value of two integers instead of the minimum:
-
-```python
-import numpy as np
-from concrete import fhe
-
-@fhe.compiler({"x": "encrypted", "y": "encrypted"})
-def max_two(x, y):
-	diff = y - x
-	max_x_y = y - np.minimum(y - x, 0)
-	return max_x_y
-
-inputset = [tuple(np.random.randint(0, 16, size=2)) for _ in range(50)]
-circuit = max_two.compile(inputset)
-
-x, y = np.random.randint(0, 16, size=2)
-assert circuit.encrypt_run_decrypt(x, y) == max(x, y)
-```
-
-## Minimum for several values
-
-And an extension for more than two values:
+Concrete supports `np.minimum`/`np.maximum` natively, but not `np.min`/`np.max` yet. To work around it, you can do a series of `np.minimum`/`np.maximum`s:
 
 ```python
 import numpy as np
@@ -62,12 +20,11 @@ def fhe_min(args):
     while len(remaining) > 1:
         a = remaining.pop()
         b = remaining.pop()
-        min_a_b = b - np.maximum(b - a, 0)
-        remaining.insert(0, min_a_b)
+        remaining.insert(0, np.minimum(a, b))
     return remaining[0]
 
 inputset = [np.random.randint(0, 16, size=5) for _ in range(50)]
-circuit = fhe_min.compile(inputset)
+circuit = fhe_min.compile(inputset, min_max_strategy_preference=fhe.MinMaxStrategy.ONE_TLU_PROMOTED)
 
 x1, x2, x3, x4, x5 = np.random.randint(0, 16, size=5)
 assert circuit.encrypt_run_decrypt([x1, x2, x3, x4, x5]) == min(x1, x2, x3, x4, x5)
diff --git a/docs/dev/api/README.md b/docs/dev/api/README.md
index 94f3f6587..eb9bcfe74 100644
--- a/docs/dev/api/README.md
+++ b/docs/dev/api/README.md
@@ -4,37 +4,13 @@
 
 ## Modules
 
-- [`concrete.compiler`](./concrete.compiler.md): Compiler submodule.
-- [`concrete.compiler.client_parameters`](./concrete.compiler.client_parameters.md): Client parameters.
-- [`concrete.compiler.client_support`](./concrete.compiler.client_support.md): Client support.
-- [`concrete.compiler.compilation_context`](./concrete.compiler.compilation_context.md): CompilationContext.
-- [`concrete.compiler.compilation_feedback`](./concrete.compiler.compilation_feedback.md): Compilation feedback.
-- [`concrete.compiler.compilation_options`](./concrete.compiler.compilation_options.md): CompilationOptions.
-- [`concrete.compiler.evaluation_keys`](./concrete.compiler.evaluation_keys.md): EvaluationKeys.
-- [`concrete.compiler.key_set`](./concrete.compiler.key_set.md): KeySet.
-- [`concrete.compiler.key_set_cache`](./concrete.compiler.key_set_cache.md): KeySetCache.
-- [`concrete.compiler.lambda_argument`](./concrete.compiler.lambda_argument.md): LambdaArgument.
-- [`concrete.compiler.library_compilation_result`](./concrete.compiler.library_compilation_result.md): LibraryCompilationResult.
-- [`concrete.compiler.library_lambda`](./concrete.compiler.library_lambda.md): LibraryLambda.
-- [`concrete.compiler.library_support`](./concrete.compiler.library_support.md): LibrarySupport.
-- [`concrete.compiler.parameter`](./concrete.compiler.parameter.md): Parameter.
-- [`concrete.compiler.public_arguments`](./concrete.compiler.public_arguments.md): PublicArguments.
-- [`concrete.compiler.public_result`](./concrete.compiler.public_result.md): PublicResult.
-- [`concrete.compiler.server_circuit`](./concrete.compiler.server_circuit.md): ServerCircuit.
-- [`concrete.compiler.server_program`](./concrete.compiler.server_program.md): ServerProgram.
-- [`concrete.compiler.simulated_value_decrypter`](./concrete.compiler.simulated_value_decrypter.md): SimulatedValueDecrypter.
-- [`concrete.compiler.simulated_value_exporter`](./concrete.compiler.simulated_value_exporter.md): SimulatedValueExporter.
-- [`concrete.compiler.utils`](./concrete.compiler.utils.md): Common utils for the compiler submodule.
-- [`concrete.compiler.value`](./concrete.compiler.value.md): Value.
-- [`concrete.compiler.value_decrypter`](./concrete.compiler.value_decrypter.md): ValueDecrypter.
-- [`concrete.compiler.value_exporter`](./concrete.compiler.value_exporter.md): ValueExporter.
-- [`concrete.compiler.wrapper`](./concrete.compiler.wrapper.md): Wrapper for native Cpp objects.
 - [`concrete.fhe`](./concrete.fhe.md): Concrete.
 - [`concrete.fhe.compilation`](./concrete.fhe.compilation.md): Glue the compilation process together.
 - [`concrete.fhe.compilation.artifacts`](./concrete.fhe.compilation.artifacts.md): Declaration of `DebugArtifacts` class.
 - [`concrete.fhe.compilation.circuit`](./concrete.fhe.compilation.circuit.md): Declaration of `Circuit` class.
 - [`concrete.fhe.compilation.client`](./concrete.fhe.compilation.client.md): Declaration of `Client` class.
 - [`concrete.fhe.compilation.compiler`](./concrete.fhe.compilation.compiler.md): Declaration of `Compiler` class.
+- [`concrete.fhe.compilation.composition`](./concrete.fhe.compilation.composition.md): Declaration of classes related to composition.
 - [`concrete.fhe.compilation.configuration`](./concrete.fhe.compilation.configuration.md): Declaration of `Configuration` class.
 - [`concrete.fhe.compilation.decorators`](./concrete.fhe.compilation.decorators.md): Declaration of `circuit` and `compiler` decorators.
 - [`concrete.fhe.compilation.keys`](./concrete.fhe.compilation.keys.md): Declaration of `Keys` class.
@@ -73,6 +49,7 @@
 - [`concrete.fhe.mlir.converter`](./concrete.fhe.mlir.converter.md): Declaration of `Converter` class.
 - [`concrete.fhe.mlir.processors`](./concrete.fhe.mlir.processors.md): All graph processors.
 - [`concrete.fhe.mlir.processors.assign_bit_widths`](./concrete.fhe.mlir.processors.assign_bit_widths.md): Declaration of `AssignBitWidths` graph processor.
+- [`concrete.fhe.mlir.processors.assign_node_ids`](./concrete.fhe.mlir.processors.assign_node_ids.md): Declaration of `AssignNodeIds` graph processor.
 - [`concrete.fhe.mlir.processors.check_integer_only`](./concrete.fhe.mlir.processors.check_integer_only.md): Declaration of `CheckIntegerOnly` graph processor.
 - [`concrete.fhe.mlir.processors.process_rounding`](./concrete.fhe.mlir.processors.process_rounding.md): Declaration of `ProcessRounding` graph processor.
 - [`concrete.fhe.mlir.utils`](./concrete.fhe.mlir.utils.md): Declaration of various functions and constants related to MLIR conversion.
@@ -82,6 +59,10 @@
 - [`concrete.fhe.representation.node`](./concrete.fhe.representation.node.md): Declaration of `Node` class.
 - [`concrete.fhe.representation.operation`](./concrete.fhe.representation.operation.md): Declaration of `Operation` enum.
 - [`concrete.fhe.representation.utils`](./concrete.fhe.representation.utils.md): Declaration of various functions and constants related to representation of computation.
+- [`concrete.fhe.tfhers`](./concrete.fhe.tfhers.md): tfhers module to represent, and compute on tfhers integer values.
+- [`concrete.fhe.tfhers.dtypes`](./concrete.fhe.tfhers.dtypes.md): Declaration of `TFHERSIntegerType` class.
+- [`concrete.fhe.tfhers.tracing`](./concrete.fhe.tfhers.tracing.md): Tracing of tfhers operations.
+- [`concrete.fhe.tfhers.values`](./concrete.fhe.tfhers.values.md): Declaration of `TFHERSInteger` which wraps values as being of tfhers types.
 - [`concrete.fhe.tracing`](./concrete.fhe.tracing.md): Provide `function` to `computation graph` functionality.
 - [`concrete.fhe.tracing.tracer`](./concrete.fhe.tracing.tracer.md): Declaration of `Tracer` class.
 - [`concrete.fhe.tracing.typing`](./concrete.fhe.tracing.typing.md): Declaration of type annotation.
@@ -89,7 +70,32 @@
 - [`concrete.fhe.values.scalar`](./concrete.fhe.values.scalar.md): Declaration of `ClearScalar` and `EncryptedScalar` wrappers.
 - [`concrete.fhe.values.tensor`](./concrete.fhe.values.tensor.md): Declaration of `ClearTensor` and `EncryptedTensor` wrappers.
 - [`concrete.fhe.values.value_description`](./concrete.fhe.values.value_description.md): Declaration of `ValueDescription` class.
-- [`concrete.fhe.version`](./concrete.fhe.version.md)
+- [`concrete.fhe.version`](./concrete.fhe.version.md): Version of the project, which is updated automatically by the CI right before releasing.
+- [`concrete.compiler`](./concrete.compiler.md): Compiler submodule.
+- [`concrete.compiler.client_parameters`](./concrete.compiler.client_parameters.md): Client parameters.
+- [`concrete.compiler.client_support`](./concrete.compiler.client_support.md): Client support.
+- [`concrete.compiler.compilation_context`](./concrete.compiler.compilation_context.md): CompilationContext.
+- [`concrete.compiler.compilation_feedback`](./concrete.compiler.compilation_feedback.md): Compilation feedback.
+- [`concrete.compiler.compilation_options`](./concrete.compiler.compilation_options.md): CompilationOptions.
+- [`concrete.compiler.evaluation_keys`](./concrete.compiler.evaluation_keys.md): EvaluationKeys.
+- [`concrete.compiler.key_set`](./concrete.compiler.key_set.md): KeySet.
+- [`concrete.compiler.key_set_cache`](./concrete.compiler.key_set_cache.md): KeySetCache.
+- [`concrete.compiler.lambda_argument`](./concrete.compiler.lambda_argument.md): LambdaArgument.
+- [`concrete.compiler.library_compilation_result`](./concrete.compiler.library_compilation_result.md): LibraryCompilationResult.
+- [`concrete.compiler.library_lambda`](./concrete.compiler.library_lambda.md): LibraryLambda.
+- [`concrete.compiler.library_support`](./concrete.compiler.library_support.md): LibrarySupport.
+- [`concrete.compiler.parameter`](./concrete.compiler.parameter.md): Parameter.
+- [`concrete.compiler.public_arguments`](./concrete.compiler.public_arguments.md): PublicArguments.
+- [`concrete.compiler.public_result`](./concrete.compiler.public_result.md): PublicResult.
+- [`concrete.compiler.server_circuit`](./concrete.compiler.server_circuit.md): ServerCircuit.
+- [`concrete.compiler.server_program`](./concrete.compiler.server_program.md): ServerProgram.
+- [`concrete.compiler.simulated_value_decrypter`](./concrete.compiler.simulated_value_decrypter.md): SimulatedValueDecrypter.
+- [`concrete.compiler.simulated_value_exporter`](./concrete.compiler.simulated_value_exporter.md): SimulatedValueExporter.
+- [`concrete.compiler.utils`](./concrete.compiler.utils.md): Common utils for the compiler submodule.
+- [`concrete.compiler.value`](./concrete.compiler.value.md): Value.
+- [`concrete.compiler.value_decrypter`](./concrete.compiler.value_decrypter.md): ValueDecrypter.
+- [`concrete.compiler.value_exporter`](./concrete.compiler.value_exporter.md): ValueExporter.
+- [`concrete.compiler.wrapper`](./concrete.compiler.wrapper.md): Wrapper for native Cpp objects.
 - [`concrete.lang`](./concrete.lang.md): Concretelang python module
 - [`concrete.lang.dialects`](./concrete.lang.dialects.md)
 - [`concrete.lang.dialects.fhe`](./concrete.lang.dialects.fhe.md): FHE dialect module
@@ -98,30 +104,6 @@
 
 ## Classes
 
-- [`client_parameters.ClientParameters`](./concrete.compiler.client_parameters.md): ClientParameters are public parameters used for key generation.
-- [`client_support.ClientSupport`](./concrete.compiler.client_support.md): Client interface for doing key generation and encryption.
-- [`compilation_context.CompilationContext`](./concrete.compiler.compilation_context.md): Support class for compilation context.
-- [`compilation_feedback.CircuitCompilationFeedback`](./concrete.compiler.compilation_feedback.md): CircuitCompilationFeedback is a set of hint computed by the compiler engine for a circuit.
-- [`compilation_feedback.ProgramCompilationFeedback`](./concrete.compiler.compilation_feedback.md): CompilationFeedback is a set of hint computed by the compiler engine.
-- [`compilation_options.CompilationOptions`](./concrete.compiler.compilation_options.md): CompilationOptions holds different flags and options of the compilation process.
-- [`evaluation_keys.EvaluationKeys`](./concrete.compiler.evaluation_keys.md): EvaluationKeys required for execution.
-- [`key_set.KeySet`](./concrete.compiler.key_set.md): KeySet stores the different keys required for an encrypted computation.
-- [`key_set_cache.KeySetCache`](./concrete.compiler.key_set_cache.md): KeySetCache is a cache for KeySet to avoid generating similar keys multiple times.
-- [`lambda_argument.LambdaArgument`](./concrete.compiler.lambda_argument.md): LambdaArgument holds scalar or tensor values.
-- [`library_compilation_result.LibraryCompilationResult`](./concrete.compiler.library_compilation_result.md): LibraryCompilationResult holds the result of the library compilation.
-- [`library_lambda.LibraryLambda`](./concrete.compiler.library_lambda.md): LibraryLambda reference a compiled library and can be ran using LibrarySupport.
-- [`library_support.LibrarySupport`](./concrete.compiler.library_support.md): Support class for library compilation and execution.
-- [`parameter.Parameter`](./concrete.compiler.parameter.md): An FHE parameter.
-- [`public_arguments.PublicArguments`](./concrete.compiler.public_arguments.md): PublicArguments holds encrypted and plain arguments, as well as public materials.
-- [`public_result.PublicResult`](./concrete.compiler.public_result.md): PublicResult holds the result of an encrypted execution and can be decrypted using ClientSupport.
-- [`server_circuit.ServerCircuit`](./concrete.compiler.server_circuit.md): ServerCircuit references a circuit that can be called for execution and simulation.
-- [`server_program.ServerProgram`](./concrete.compiler.server_program.md): ServerProgram references compiled circuit objects.
-- [`simulated_value_decrypter.SimulatedValueDecrypter`](./concrete.compiler.simulated_value_decrypter.md): A helper class to decrypt `Value`s.
-- [`simulated_value_exporter.SimulatedValueExporter`](./concrete.compiler.simulated_value_exporter.md): A helper class to create `Value`s.
-- [`value.Value`](./concrete.compiler.value.md): An encrypted/clear value which can be scalar/tensor.
-- [`value_decrypter.ValueDecrypter`](./concrete.compiler.value_decrypter.md): A helper class to decrypt `Value`s.
-- [`value_exporter.ValueExporter`](./concrete.compiler.value_exporter.md): A helper class to create `Value`s.
-- [`wrapper.WrapperCpp`](./concrete.compiler.wrapper.md): Wrapper base class for native Cpp objects.
 - [`artifacts.DebugArtifacts`](./concrete.fhe.compilation.artifacts.md): DebugArtifacts class, to export information about the compilation process for single function.
 - [`artifacts.FunctionDebugArtifacts`](./concrete.fhe.compilation.artifacts.md): An object containing debug artifacts for a certain function in an fhe module.
 - [`artifacts.ModuleDebugArtifacts`](./concrete.fhe.compilation.artifacts.md): An object containing debug artifacts for an fhe module.
@@ -129,6 +111,9 @@
 - [`client.Client`](./concrete.fhe.compilation.client.md): Client class, which can be used to manage keys, encrypt arguments and decrypt results.
 - [`compiler.Compiler`](./concrete.fhe.compilation.compiler.md): Compiler class, to glue the compilation pipeline.
 - [`compiler.EncryptionStatus`](./concrete.fhe.compilation.compiler.md): EncryptionStatus enum, to represent encryption status of parameters.
+- [`composition.CompositionClause`](./concrete.fhe.compilation.composition.md): A raw composition clause.
+- [`composition.CompositionPolicy`](./concrete.fhe.compilation.composition.md): A protocol for composition policies.
+- [`composition.CompositionRule`](./concrete.fhe.compilation.composition.md): A raw composition rule.
 - [`configuration.ApproximateRoundingConfig`](./concrete.fhe.compilation.configuration.md): Controls the behavior of approximate rounding.
 - [`configuration.BitwiseStrategy`](./concrete.fhe.compilation.configuration.md): BitwiseStrategy, to specify implementation preference for bitwise operations.
 - [`configuration.ComparisonStrategy`](./concrete.fhe.compilation.configuration.md): ComparisonStrategy, to specify implementation preference for comparisons.
@@ -144,9 +129,19 @@
 - [`module.FheFunction`](./concrete.fhe.compilation.module.md): Fhe function class, allowing to run or simulate one function of an fhe module.
 - [`module.FheModule`](./concrete.fhe.compilation.module.md): Fhe module class, to combine computation graphs, mlir, runtime objects into a single object.
 - [`module.SimulationRt`](./concrete.fhe.compilation.module.md): Runtime object class for simulation.
+- [`module_compiler.AllComposable`](./concrete.fhe.compilation.module_compiler.md): Composition policy that allows to forward any output of the module to any of its input.
+- [`module_compiler.AllInputs`](./concrete.fhe.compilation.module_compiler.md): All the inputs of a given function of a module.
+- [`module_compiler.AllOutputs`](./concrete.fhe.compilation.module_compiler.md): All the outputs of a given function of a module.
 - [`module_compiler.DebugManager`](./concrete.fhe.compilation.module_compiler.md): A debug manager, allowing streamlined debugging.
 - [`module_compiler.FunctionDef`](./concrete.fhe.compilation.module_compiler.md): An object representing the definition of a function as used in an fhe module.
+- [`module_compiler.Input`](./concrete.fhe.compilation.module_compiler.md): The input of a given function of a module.
 - [`module_compiler.ModuleCompiler`](./concrete.fhe.compilation.module_compiler.md): Compiler class for multiple functions, to glue the compilation pipeline.
+- [`module_compiler.NotComposable`](./concrete.fhe.compilation.module_compiler.md): Composition policy that does not allow the forwarding of any output to any input.
+- [`module_compiler.Output`](./concrete.fhe.compilation.module_compiler.md): The output of a given function of a module.
+- [`module_compiler.Wire`](./concrete.fhe.compilation.module_compiler.md): A forwarding rule between an output and an input.
+- [`module_compiler.WireInput`](./concrete.fhe.compilation.module_compiler.md): A protocol for wire inputs.
+- [`module_compiler.WireOutput`](./concrete.fhe.compilation.module_compiler.md): A protocol for wire outputs.
+- [`module_compiler.Wired`](./concrete.fhe.compilation.module_compiler.md): Composition policy which allows the forwarding of certain outputs to certain inputs.
 - [`server.Server`](./concrete.fhe.compilation.server.md): Server class, which can be used to perform homomorphic computation.
 - [`specs.ClientSpecs`](./concrete.fhe.compilation.specs.md): ClientSpecs class, to create Client objects.
 - [`value.Value`](./concrete.fhe.compilation.value.md): Value class, to store scalar or tensor values which can be encrypted or clear.
@@ -155,7 +150,7 @@
 - [`integer.Integer`](./concrete.fhe.dtypes.integer.md): Integer class, to represent integers.
 - [`bits.Bits`](./concrete.fhe.extensions.bits.md): Bits class, to provide indexing into the bits of integers.
 - [`round_bit_pattern.Adjusting`](./concrete.fhe.extensions.round_bit_pattern.md): Adjusting class, to be used as early stop signal during adjustment.
-- [`round_bit_pattern.AutoRounder`](./concrete.fhe.extensions.round_bit_pattern.md): AutoRounder class, to optimize for number of msbs to keep druing round bit pattern operation.
+- [`round_bit_pattern.AutoRounder`](./concrete.fhe.extensions.round_bit_pattern.md): AutoRounder class, to optimize for number of msbs to keep during round bit pattern operation.
 - [`table.LookupTable`](./concrete.fhe.extensions.table.md): LookupTable class, to provide a way to do direct table lookups.
 - [`truncate_bit_pattern.Adjusting`](./concrete.fhe.extensions.truncate_bit_pattern.md): Adjusting class, to be used as early stop signal during adjustment.
 - [`truncate_bit_pattern.AutoTruncator`](./concrete.fhe.extensions.truncate_bit_pattern.md): AutoTruncator class, to optimize for the number of msbs to keep during truncate operation.
@@ -165,6 +160,7 @@
 - [`converter.Converter`](./concrete.fhe.mlir.converter.md): Converter class, to convert a computation graph to MLIR.
 - [`assign_bit_widths.AdditionalConstraints`](./concrete.fhe.mlir.processors.assign_bit_widths.md): AdditionalConstraints class to customize bit-width assignment step easily.
 - [`assign_bit_widths.AssignBitWidths`](./concrete.fhe.mlir.processors.assign_bit_widths.md): AssignBitWidths graph processor, to assign proper bit-widths to be compatible with FHE.
+- [`assign_node_ids.AssignNodeIds`](./concrete.fhe.mlir.processors.assign_node_ids.md) to node properties.
 - [`check_integer_only.CheckIntegerOnly`](./concrete.fhe.mlir.processors.check_integer_only.md): CheckIntegerOnly graph processor, to make sure the graph only contains integer nodes.
 - [`process_rounding.ProcessRounding`](./concrete.fhe.mlir.processors.process_rounding.md): ProcessRounding graph processor, to analyze rounding and support regular operations on it.
 - [`utils.Comparison`](./concrete.fhe.mlir.utils.md): Comparison enum, to store the result comparison in 2-bits as there are three possible outcomes.
@@ -178,6 +174,8 @@
 - [`graph.MultiGraphProcessor`](./concrete.fhe.representation.graph.md): MultiGraphProcessor base class, to define the API for a multiple graph processing pipeline.
 - [`node.Node`](./concrete.fhe.representation.node.md): Node class, to represent computation in a computation graph.
 - [`operation.Operation`](./concrete.fhe.representation.operation.md): Operation enum, to distinguish nodes within a computation graph.
+- [`dtypes.TFHERSIntegerType`](./concrete.fhe.tfhers.dtypes.md) to represent tfhers integer types.
+- [`values.TFHERSInteger`](./concrete.fhe.tfhers.values.md) into typed values, using tfhers types.
 - [`tracer.Annotation`](./concrete.fhe.tracing.tracer.md): Base annotation for direct definition.
 - [`tracer.ScalarAnnotation`](./concrete.fhe.tracing.tracer.md): Base scalar annotation for direct definition.
 - [`tracer.TensorAnnotation`](./concrete.fhe.tracing.tracer.md): Base tensor annotation for direct definition.
@@ -314,13 +312,33 @@
 - [`typing.uint8`](./concrete.fhe.tracing.typing.md): Scalar uint8 annotation.
 - [`typing.uint9`](./concrete.fhe.tracing.typing.md): Scalar uint9 annotation.
 - [`value_description.ValueDescription`](./concrete.fhe.values.value_description.md): ValueDescription class, to combine data type, shape, and encryption status into a single object.
+- [`client_parameters.ClientParameters`](./concrete.compiler.client_parameters.md): ClientParameters are public parameters used for key generation.
+- [`client_support.ClientSupport`](./concrete.compiler.client_support.md): Client interface for doing key generation and encryption.
+- [`compilation_context.CompilationContext`](./concrete.compiler.compilation_context.md): Support class for compilation context.
+- [`compilation_feedback.CircuitCompilationFeedback`](./concrete.compiler.compilation_feedback.md): CircuitCompilationFeedback is a set of hint computed by the compiler engine for a circuit.
+- [`compilation_feedback.ProgramCompilationFeedback`](./concrete.compiler.compilation_feedback.md): CompilationFeedback is a set of hint computed by the compiler engine.
+- [`compilation_options.CompilationOptions`](./concrete.compiler.compilation_options.md): CompilationOptions holds different flags and options of the compilation process.
+- [`evaluation_keys.EvaluationKeys`](./concrete.compiler.evaluation_keys.md): EvaluationKeys required for execution.
+- [`key_set.KeySet`](./concrete.compiler.key_set.md): KeySet stores the different keys required for an encrypted computation.
+- [`key_set_cache.KeySetCache`](./concrete.compiler.key_set_cache.md): KeySetCache is a cache for KeySet to avoid generating similar keys multiple times.
+- [`lambda_argument.LambdaArgument`](./concrete.compiler.lambda_argument.md): LambdaArgument holds scalar or tensor values.
+- [`library_compilation_result.LibraryCompilationResult`](./concrete.compiler.library_compilation_result.md): LibraryCompilationResult holds the result of the library compilation.
+- [`library_lambda.LibraryLambda`](./concrete.compiler.library_lambda.md): LibraryLambda reference a compiled library and can be ran using LibrarySupport.
+- [`library_support.LibrarySupport`](./concrete.compiler.library_support.md): Support class for library compilation and execution.
+- [`parameter.Parameter`](./concrete.compiler.parameter.md): An FHE parameter.
+- [`public_arguments.PublicArguments`](./concrete.compiler.public_arguments.md): PublicArguments holds encrypted and plain arguments, as well as public materials.
+- [`public_result.PublicResult`](./concrete.compiler.public_result.md): PublicResult holds the result of an encrypted execution and can be decrypted using ClientSupport.
+- [`server_circuit.ServerCircuit`](./concrete.compiler.server_circuit.md): ServerCircuit references a circuit that can be called for execution and simulation.
+- [`server_program.ServerProgram`](./concrete.compiler.server_program.md): ServerProgram references compiled circuit objects.
+- [`simulated_value_decrypter.SimulatedValueDecrypter`](./concrete.compiler.simulated_value_decrypter.md): A helper class to decrypt `Value`s.
+- [`simulated_value_exporter.SimulatedValueExporter`](./concrete.compiler.simulated_value_exporter.md): A helper class to create `Value`s.
+- [`value.Value`](./concrete.compiler.value.md): An encrypted/clear value which can be scalar/tensor.
+- [`value_decrypter.ValueDecrypter`](./concrete.compiler.value_decrypter.md): A helper class to decrypt `Value`s.
+- [`value_exporter.ValueExporter`](./concrete.compiler.value_exporter.md): A helper class to create `Value`s.
+- [`wrapper.WrapperCpp`](./concrete.compiler.wrapper.md): Wrapper base class for native Cpp objects.
 
 ## Functions
 
-- [`compiler.init_dfr`](./concrete.compiler.md): Initialize dataflow parallelization.
-- [`compiler.round_trip`](./concrete.compiler.md): Parse the MLIR input, then return it back.
-- [`compilation_feedback.tag_from_location`](./concrete.compiler.compilation_feedback.md): Extract tag of the operation from its location.
-- [`utils.lookup_runtime_lib`](./concrete.compiler.utils.md): Try to find the absolute path to the runtime library.
 - [`decorators.circuit`](./concrete.fhe.compilation.decorators.md): Provide a direct interface for compilation of single circuit programs.
 - [`decorators.compiler`](./concrete.fhe.compilation.decorators.md): Provide an easy interface for the compilation of single-circuit programs.
 - [`decorators.function`](./concrete.fhe.compilation.decorators.md): Provide an easy interface to define a function within an fhe module.
@@ -365,6 +383,8 @@
 - [`utils.flood_replace_none_values`](./concrete.fhe.mlir.utils.md): Use flooding algorithm to replace `None` values.
 - [`utils.format_constant`](./concrete.fhe.representation.utils.md): Get the textual representation of a constant.
 - [`utils.format_indexing_element`](./concrete.fhe.representation.utils.md): Format an indexing element.
+- [`tracing.from_native`](./concrete.fhe.tfhers.tracing.md): Convert a Concrete integer to the tfhers representation.
+- [`tracing.to_native`](./concrete.fhe.tfhers.tracing.md): Convert a tfhers integer to the Concrete representation.
 - [`scalar.clear_scalar_builder`](./concrete.fhe.values.scalar.md): Build a clear scalar value.
 - [`scalar.encrypted_scalar_builder`](./concrete.fhe.values.scalar.md): Build an encrypted scalar value.
 - [`scalar.clear_scalar_builder`](./concrete.fhe.values.scalar.md): Build a clear scalar value.
@@ -373,3 +393,7 @@
 - [`tensor.encrypted_tensor_builder`](./concrete.fhe.values.tensor.md): Build an encrypted tensor value.
 - [`tensor.clear_tensor_builder`](./concrete.fhe.values.tensor.md): Build a clear tensor value.
 - [`tensor.encrypted_tensor_builder`](./concrete.fhe.values.tensor.md): Build an encrypted tensor value.
+- [`compiler.init_dfr`](./concrete.compiler.md): Initialize dataflow parallelization.
+- [`compiler.round_trip`](./concrete.compiler.md): Parse the MLIR input, then return it back.
+- [`compilation_feedback.tag_from_location`](./concrete.compiler.compilation_feedback.md): Extract tag of the operation from its location.
+- [`utils.lookup_runtime_lib`](./concrete.compiler.utils.md): Try to find the absolute path to the runtime library.
diff --git a/docs/dev/api/concrete.compiler.compilation_options.md b/docs/dev/api/concrete.compiler.compilation_options.md
index e8b2715c4..cecdff2d2 100644
--- a/docs/dev/api/concrete.compiler.compilation_options.md
+++ b/docs/dev/api/concrete.compiler.compilation_options.md
@@ -43,7 +43,34 @@ Wrap the native Cpp object.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L407"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L64"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `add_composition`
+
+```python
+add_composition(from_func: str, from_pos: int, to_func: str, to_pos: int)
+```
+
+Adds a composition rule. 
+
+
+
+**Args:**
+ 
+ - <b>`from_func`</b> (str):  the name of the circuit the output comes from. 
+ - <b>`from_pos`</b> (int):  the return position of the output. 
+ - <b>`to_func`</b> (str):  the name of the circuit the input targets. 
+ - <b>`to_pos`</b> (int):  the argument position of the input. 
+
+
+
+**Raises:**
+ 
+ - <b>`TypeError`</b>:  if the inputs do not have the proper type. 
+
+---
+
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L429"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `force_encoding`
 
@@ -96,7 +123,7 @@ Build a CompilationOptions.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L322"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L344"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_all_v0_parameter`
 
@@ -148,7 +175,7 @@ Set all the V0 parameters.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L77"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L99"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_auto_parallelize`
 
@@ -172,7 +199,7 @@ Set option for auto parallelization.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L446"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L468"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_batch_tfhe_ops`
 
@@ -196,7 +223,7 @@ Set flag that triggers the batching of scalar TFHE operations.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L64"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L86"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_composable`
 
@@ -204,23 +231,23 @@ Set flag that triggers the batching of scalar TFHE operations.
 set_composable(composable: bool)
 ```
 
-Set option for composition. 
+Set composable flag. 
 
 
 
 **Args:**
  
- - <b>`composable`</b> (bool):  whether to turn it on or off 
+ - <b>`composable`</b> (bool):  the composable flag. 
 
 
 
 **Raises:**
  
- - <b>`TypeError`</b>:  if the value to set is not boolean 
+ - <b>`TypeError`</b>:  if the inputs do not have the proper type. 
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L103"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L125"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_compress_evaluation_keys`
 
@@ -244,7 +271,7 @@ Set option for compression of evaluation keys.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L116"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L138"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_compress_input_ciphertexts`
 
@@ -268,7 +295,7 @@ Set option for compression of input ciphertexts.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L142"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L164"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_dataflow_parallelize`
 
@@ -292,7 +319,7 @@ Set option for dataflow parallelization.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L199"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L221"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_display_optimizer_choice`
 
@@ -316,7 +343,7 @@ Set display flag of optimizer choices.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L433"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L455"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_emit_gpu_ops`
 
@@ -340,7 +367,31 @@ Set flag that allows gpu ops to be emitted.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L459"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L507"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `set_enable_overflow_detection_in_simulation`
+
+```python
+set_enable_overflow_detection_in_simulation(enable_overflow_detection: bool)
+```
+
+Enable or disable overflow detection during simulation. 
+
+
+
+**Args:**
+ 
+ - <b>`enable_overflow_detection`</b> (bool):  flag to enable or disable overflow detection 
+
+
+
+**Raises:**
+ 
+ - <b>`TypeError`</b>:  if the value to set is not bool 
+
+---
+
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L481"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_enable_tlu_fusing`
 
@@ -364,7 +415,7 @@ Enable or disable tlu fusing.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L168"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L190"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_funcname`
 
@@ -388,7 +439,7 @@ Set entrypoint function name.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L240"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L262"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_global_p_error`
 
@@ -413,7 +464,7 @@ Set global error probability for the full circuit.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L90"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L112"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_loop_parallelize`
 
@@ -437,7 +488,7 @@ Set option for loop parallelization.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L155"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L177"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_optimize_concrete`
 
@@ -461,7 +512,7 @@ Set flag to enable/disable optimization of concrete intermediate representation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L225"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L247"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_optimizer_multi_parameter_strategy`
 
@@ -487,7 +538,7 @@ Set the strategy of the optimizer for multi-parameter.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L212"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L234"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_optimizer_strategy`
 
@@ -511,7 +562,7 @@ Set the strategy of the optimizer.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L181"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L203"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_p_error`
 
@@ -536,7 +587,7 @@ Set error probability for shared by each pbs.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L472"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L494"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_print_tlu_fusing`
 
@@ -560,7 +611,7 @@ Enable or disable printing tlu fusing.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L258"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L280"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_security_level`
 
@@ -585,7 +636,7 @@ Set security level.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L272"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L294"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_v0_parameter`
 
@@ -623,7 +674,7 @@ Set the basic V0 parameters.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L129"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L151"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_verify_diagnostics`
 
@@ -647,7 +698,7 @@ Set option for diagnostics verification.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L420"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/compiler/compilation_options.py#L442"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `simulation`
 
diff --git a/docs/dev/api/concrete.compiler.md b/docs/dev/api/concrete.compiler.md
index 7d1167c01..09e64baac 100644
--- a/docs/dev/api/concrete.compiler.md
+++ b/docs/dev/api/concrete.compiler.md
@@ -80,7 +80,7 @@ init_dfr()
 
 Initialize dataflow parallelization. 
 
-It is not always required to initialize the dataflow runtime as it can be implicitly done during compilation. However, it is required in case no compilation has previously been done and the runtime is needed 
+It is not always required to initialize the dataflow runtime as it can be implicitely done during compilation. However, it is required in case no compilation has previously been done and the runtime is needed 
 
 
 ---
diff --git a/docs/dev/api/concrete.fhe.compilation.artifacts.md b/docs/dev/api/concrete.fhe.compilation.artifacts.md
index 0d608f95e..131b1098d 100644
--- a/docs/dev/api/concrete.fhe.compilation.artifacts.md
+++ b/docs/dev/api/concrete.fhe.compilation.artifacts.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.artifacts`
 Declaration of `DebugArtifacts` class. 
@@ -9,12 +9,12 @@ Declaration of `DebugArtifacts` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L17"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L17"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `FunctionDebugArtifacts`
 An object containing debug artifacts for a certain function in an fhe module. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L27"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L27"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -31,7 +31,7 @@ __init__()
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L61"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L61"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add_graph`
 
@@ -50,7 +50,7 @@ Add a representation of the function being compiled.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L48"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L48"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add_parameter_encryption_status`
 
@@ -69,7 +69,7 @@ Add parameter encryption status of a parameter of the function being compiled.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L33"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L33"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add_source_code`
 
@@ -87,18 +87,18 @@ Add source code of the function being compiled.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L79"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L79"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ModuleDebugArtifacts`
 An object containing debug artifacts for an fhe module. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L89"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L89"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
 ```python
 __init__(
-    function_names: List[str],
+    function_names: Optional[List[str]] = None,
     output_directory: Union[str, Path] = PosixPath('.artifacts')
 )
 ```
@@ -112,7 +112,7 @@ __init__(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L109"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L111"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add_client_parameters`
 
@@ -130,7 +130,7 @@ Add client parameters used.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L99"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L101"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add_mlir_to_compile`
 
@@ -147,7 +147,7 @@ Add textual representation of the resulting MLIR.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L119"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L121"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `export`
 
@@ -160,12 +160,12 @@ Export the collected information to `self.output_directory`.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L212"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L214"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `DebugArtifacts`
 DebugArtifacts class, to export information about the compilation process for single function. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L219"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L221"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -194,7 +194,7 @@ Return the directory to export artifacts to.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L273"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L275"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add_client_parameters`
 
@@ -212,7 +212,7 @@ Add client parameters used.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L248"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L250"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add_graph`
 
@@ -231,7 +231,7 @@ Add a representation of the function being compiled.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L262"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L264"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add_mlir_to_compile`
 
@@ -248,7 +248,7 @@ Add textual representation of the resulting MLIR.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L232"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L234"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add_parameter_encryption_status`
 
@@ -267,7 +267,7 @@ Add parameter encryption status of a parameter of the function being compiled.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L222"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L224"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add_source_code`
 
@@ -284,7 +284,7 @@ Add source code of the function being compiled.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/artifacts.py#L283"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/artifacts.py#L285"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `export`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.circuit.md b/docs/dev/api/concrete.fhe.compilation.circuit.md
index 35eed1a0a..5cc05cbc9 100644
--- a/docs/dev/api/concrete.fhe.compilation.circuit.md
+++ b/docs/dev/api/concrete.fhe.compilation.circuit.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.circuit`
 Declaration of `Circuit` class. 
@@ -9,12 +9,12 @@ Declaration of `Circuit` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L31"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L32"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Circuit`
 Circuit class, to combine computation graph, mlir, client and server into a single object. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L46"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L48"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -23,7 +23,8 @@ __init__(
     graph: Graph,
     mlir: Module,
     compilation_context: CompilationContext,
-    configuration: Optional[Configuration] = None
+    configuration: Optional[Configuration] = None,
+    composition_rules: Optional[Iterable[CompositionRule]] = None
 )
 ```
 
@@ -172,6 +173,12 @@ Get the keys of the circuit.
 
 ---
 
+#### <kbd>property</kbd> memory_usage_per_location
+
+Get the memory usage of operations in the circuit per location. 
+
+---
+
 #### <kbd>property</kbd> mlir
 
 Textual representation of the MLIR module. 
@@ -276,7 +283,7 @@ Get all statistics of the circuit.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L305"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L324"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `cleanup`
 
@@ -288,7 +295,7 @@ Cleanup the temporary library output directory.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L269"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L285"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `decrypt`
 
@@ -312,7 +319,7 @@ Decrypt result(s) of evaluation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L68"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L72"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `draw`
 
@@ -346,7 +353,7 @@ That this function requires the python `pygraphviz` package which itself require
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L123"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L128"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `enable_fhe_execution`
 
@@ -358,7 +365,7 @@ Enable FHE execution.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L110"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L114"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `enable_fhe_simulation`
 
@@ -370,7 +377,7 @@ Enable FHE simulation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L226"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L236"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypt`
 
@@ -394,7 +401,7 @@ Encrypt argument(s) to for evaluation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L290"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L309"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypt_run_decrypt`
 
@@ -416,7 +423,7 @@ Encrypt inputs, run the circuit, and decrypt the outputs in one go.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L204"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L214"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `keygen`
 
@@ -441,7 +448,7 @@ Generate keys required for homomorphic evaluation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L247"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L260"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `run`
 
@@ -465,7 +472,7 @@ Evaluate the circuit.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/circuit.py#L141"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/circuit.py#L149"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `simulate`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.client.md b/docs/dev/api/concrete.fhe.compilation.client.md
index d8c0dc8c5..a030f46fb 100644
--- a/docs/dev/api/concrete.fhe.compilation.client.md
+++ b/docs/dev/api/concrete.fhe.compilation.client.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/client.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/client.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.client`
 Declaration of `Client` class. 
@@ -9,12 +9,12 @@ Declaration of `Client` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/client.py#L23"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/client.py#L23"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Client`
 Client class, which can be used to manage keys, encrypt arguments and decrypt results. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/client.py#L31"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/client.py#L31"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -51,7 +51,7 @@ Get the keys for the client.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/client.py#L158"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/client.py#L160"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `decrypt`
 
@@ -76,7 +76,7 @@ Decrypt result(s) of evaluation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/client.py#L120"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/client.py#L120"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypt`
 
@@ -101,7 +101,7 @@ Encrypt argument(s) to for evaluation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/client.py#L101"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/client.py#L101"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `keygen`
 
@@ -126,7 +126,7 @@ Generate keys required for homomorphic evaluation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/client.py#L58"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/client.py#L58"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `load`
 
@@ -153,7 +153,7 @@ Load the client from the given path in zip format.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/client.py#L39"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/client.py#L39"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `save`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.compiler.md b/docs/dev/api/concrete.fhe.compilation.compiler.md
index a7009a567..165c53d62 100644
--- a/docs/dev/api/concrete.fhe.compilation.compiler.md
+++ b/docs/dev/api/concrete.fhe.compilation.compiler.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/compiler.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/compiler.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.compiler`
 Declaration of `Compiler` class. 
@@ -9,7 +9,7 @@ Declaration of `Compiler` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/compiler.py#L30"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/compiler.py#L32"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `EncryptionStatus`
 EncryptionStatus enum, to represent encryption status of parameters. 
@@ -20,12 +20,12 @@ EncryptionStatus enum, to represent encryption status of parameters.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/compiler.py#L40"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/compiler.py#L42"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Compiler`
 Compiler class, to glue the compilation pipeline. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/compiler.py#L106"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/compiler.py#L108"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -45,7 +45,7 @@ __init__(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/compiler.py#L59"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/compiler.py#L61"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `assemble`
 
@@ -81,7 +81,7 @@ Assemble a circuit from the raw parameter values, used in direct circuit definit
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/compiler.py#L410"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/compiler.py#L414"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `compile`
 
@@ -114,7 +114,7 @@ Compile the function using an inputset.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/compiler.py#L310"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/compiler.py#L312"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `trace`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.composition.md b/docs/dev/api/concrete.fhe.compilation.composition.md
new file mode 100644
index 000000000..726bdd44d
--- /dev/null
+++ b/docs/dev/api/concrete.fhe.compilation.composition.md
@@ -0,0 +1,78 @@
+<!-- markdownlint-disable -->
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/composition.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+# <kbd>module</kbd> `concrete.fhe.compilation.composition`
+Declaration of classes related to composition. 
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/composition.py#L12"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `CompositionClause`
+A raw composition clause. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/composition.py#L20"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `create`
+
+```python
+create(tup: Tuple[str, int]) → CompositionClause
+```
+
+Create a composition clause from a tuple of a function name and a position. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/composition.py#L28"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `CompositionRule`
+A raw composition rule. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/composition.py#L36"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `create`
+
+```python
+create(tup: Tuple[CompositionClause, CompositionClause]) → CompositionRule
+```
+
+Create a composition rule from a tuple containing an output clause and an input clause. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/composition.py#L44"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `CompositionPolicy`
+A protocol for composition policies. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/composition.py#L50"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_rules_iter`
+
+```python
+get_rules_iter(funcs: List[Graph]) → Iterable[CompositionRule]
+```
+
+Return an iterator over composition rules. 
+
+
diff --git a/docs/dev/api/concrete.fhe.compilation.configuration.md b/docs/dev/api/concrete.fhe.compilation.configuration.md
index b04510c65..0cbc8cb1d 100644
--- a/docs/dev/api/concrete.fhe.compilation.configuration.md
+++ b/docs/dev/api/concrete.fhe.compilation.configuration.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.configuration`
 Declaration of `Configuration` class. 
@@ -14,7 +14,7 @@ Declaration of `Configuration` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L24"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L24"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ParameterSelectionStrategy`
 ParameterSelectionStrategy, to set optimization strategy. 
@@ -25,7 +25,7 @@ ParameterSelectionStrategy, to set optimization strategy.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L51"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L51"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `MultiParameterStrategy`
 MultiParamStrategy, to set optimization strategy for multi-parameter. 
@@ -36,7 +36,7 @@ MultiParamStrategy, to set optimization strategy for multi-parameter.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L77"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L77"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Exactness`
 Exactness, to specify for specific operator the implementation preference (default and local). 
@@ -47,12 +47,12 @@ Exactness, to specify for specific operator the implementation preference (defau
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L86"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L86"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ApproximateRoundingConfig`
 Controls the behavior of approximate rounding. 
 
-In the following `k` is the ideal rounding output precision. Often the precision used after rounding is `k`+1 to avoid overflow. `logical_clipping`, `approximate_clipping_start_precision` can be used to stay at precision `k`, either logically or physically at the successor TLU. See examples in https://github.com/zama-ai/concrete/blob/main/docs/core-features/rounding.md.
+In the following `k` is the ideal rounding output precision. Often the precision used after rounding is `k`+1 to avoid overflow. `logical_clipping`, `approximate_clipping_start_precision` can be used to stay at precision `k`, either logically or physically at the successor TLU. See examples in https://github.com/zama-ai/concrete/blob/main/docs/core-features/rounding.md. 
 
 <a href="../../tempdirectoryforapidocs/<string>"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
@@ -77,7 +77,7 @@ __init__(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L125"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L125"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ComparisonStrategy`
 ComparisonStrategy, to specify implementation preference for comparisons. 
@@ -88,7 +88,7 @@ ComparisonStrategy, to specify implementation preference for comparisons.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L497"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L497"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `BitwiseStrategy`
 BitwiseStrategy, to specify implementation preference for bitwise operations. 
@@ -99,7 +99,7 @@ BitwiseStrategy, to specify implementation preference for bitwise operations.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L695"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L695"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `MultivariateStrategy`
 MultivariateStrategy, to specify implementation preference for multivariate operations. 
@@ -110,7 +110,7 @@ MultivariateStrategy, to specify implementation preference for multivariate oper
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L804"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L804"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `MinMaxStrategy`
 MinMaxStrategy, to specify implementation preference for minimum and maximum operations. 
@@ -121,12 +121,12 @@ MinMaxStrategy, to specify implementation preference for minimum and maximum ope
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L939"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L939"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Configuration`
 Configuration class, to allow the compilation process to be customized. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L993"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L998"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -179,7 +179,12 @@ __init__(
     approximate_rounding_config: Optional[ApproximateRoundingConfig] = None,
     optimize_tlu_based_on_measured_bounds: bool = False,
     enable_tlu_fusing: bool = True,
-    print_tlu_fusing: bool = False
+    print_tlu_fusing: bool = False,
+    optimize_tlu_based_on_original_bit_width: Union[bool, int] = 8,
+    detect_overflow_in_simulation: bool = False,
+    dynamic_indexing_check_out_of_bounds: bool = True,
+    dynamic_assignment_check_out_of_bounds: bool = True,
+    simulate_encrypt_run_decrypt: bool = False
 )
 ```
 
@@ -192,7 +197,7 @@ __init__(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/configuration.py#L1161"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/configuration.py#L1180"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `fork`
 
@@ -245,7 +250,12 @@ fork(
     approximate_rounding_config: Optional[Keep, ApproximateRoundingConfig] = <concrete.fhe.compilation.configuration.Configuration.Keep object at ADDRESS>,
     optimize_tlu_based_on_measured_bounds: Union[Keep, bool] = <concrete.fhe.compilation.configuration.Configuration.Keep object at ADDRESS>,
     enable_tlu_fusing: Union[Keep, bool] = <concrete.fhe.compilation.configuration.Configuration.Keep object at ADDRESS>,
-    print_tlu_fusing: Union[Keep, bool] = <concrete.fhe.compilation.configuration.Configuration.Keep object at ADDRESS>
+    print_tlu_fusing: Union[Keep, bool] = <concrete.fhe.compilation.configuration.Configuration.Keep object at ADDRESS>,
+    optimize_tlu_based_on_original_bit_width: Union[Keep, bool, int] = <concrete.fhe.compilation.configuration.Configuration.Keep object at ADDRESS>,
+    detect_overflow_in_simulation: Union[Keep, bool] = <concrete.fhe.compilation.configuration.Configuration.Keep object at ADDRESS>,
+    dynamic_indexing_check_out_of_bounds: Union[Keep, bool] = <concrete.fhe.compilation.configuration.Configuration.Keep object at ADDRESS>,
+    dynamic_assignment_check_out_of_bounds: Union[Keep, bool] = <concrete.fhe.compilation.configuration.Configuration.Keep object at ADDRESS>,
+    simulate_encrypt_run_decrypt: Union[Keep, bool] = <concrete.fhe.compilation.configuration.Configuration.Keep object at ADDRESS>
 ) → Configuration
 ```
 
diff --git a/docs/dev/api/concrete.fhe.compilation.decorators.md b/docs/dev/api/concrete.fhe.compilation.decorators.md
index e3055e4b0..e7197d7de 100644
--- a/docs/dev/api/concrete.fhe.compilation.decorators.md
+++ b/docs/dev/api/concrete.fhe.compilation.decorators.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/decorators.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/decorators.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.decorators`
 Declaration of `circuit` and `compiler` decorators. 
@@ -8,7 +8,7 @@ Declaration of `circuit` and `compiler` decorators.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/decorators.py#L20"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/decorators.py#L20"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `circuit`
 
@@ -37,7 +37,7 @@ Provide a direct interface for compilation of single circuit programs.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/decorators.py#L157"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/decorators.py#L157"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `compiler`
 
@@ -55,7 +55,7 @@ Provide an easy interface for the compilation of single-circuit programs.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/decorators.py#L172"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/decorators.py#L172"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `module`
 
@@ -68,7 +68,7 @@ Provide an easy interface for the compilation of multi functions modules.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/decorators.py#L187"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/decorators.py#L189"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `function`
 
@@ -86,12 +86,12 @@ Provide an easy interface to define a function within an fhe module.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/decorators.py#L80"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/decorators.py#L80"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Compilable`
 Compilable class, to wrap a function and provide methods to trace and compile it. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/decorators.py#L88"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/decorators.py#L88"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -108,7 +108,7 @@ __init__(function_: Callable, parameters)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/decorators.py#L126"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/decorators.py#L126"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `compile`
 
@@ -141,7 +141,7 @@ Compile the function into a circuit.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/decorators.py#L96"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/decorators.py#L96"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `trace`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.keys.md b/docs/dev/api/concrete.fhe.compilation.keys.md
index 7b3e60baf..a1d5a5e6c 100644
--- a/docs/dev/api/concrete.fhe.compilation.keys.md
+++ b/docs/dev/api/concrete.fhe.compilation.keys.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/keys.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/keys.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.keys`
 Declaration of `Keys` class. 
@@ -9,14 +9,14 @@ Declaration of `Keys` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/keys.py#L18"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/keys.py#L18"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Keys`
 Keys class, to manage generate/reuse keys. 
 
 Includes encryption keys as well as evaluation keys. Be careful when serializing/saving keys! 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/keys.py#L32"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/keys.py#L32"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -48,7 +48,7 @@ Get only evaluation keys.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/keys.py#L174"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/keys.py#L174"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `deserialize`
 
@@ -70,7 +70,7 @@ Deserialize keys from bytes.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/keys.py#L54"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/keys.py#L54"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `generate`
 
@@ -95,7 +95,7 @@ Generate new keys.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/keys.py#L105"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/keys.py#L105"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `load`
 
@@ -112,7 +112,7 @@ Load keys from a location.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/keys.py#L131"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/keys.py#L131"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `load_if_exists_generate_and_save_otherwise`
 
@@ -134,7 +134,7 @@ Load keys from a location if they exist, else generate new keys and save to that
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/keys.py#L85"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/keys.py#L85"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `save`
 
@@ -153,7 +153,7 @@ Saved keys are not encrypted, so be careful how you store/transfer them!
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/keys.py#L156"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/keys.py#L156"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `serialize`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.md b/docs/dev/api/concrete.fhe.compilation.md
index 83a38bcba..e2ac00bda 100644
--- a/docs/dev/api/concrete.fhe.compilation.md
+++ b/docs/dev/api/concrete.fhe.compilation.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation`
 Glue the compilation process together. 
@@ -13,6 +13,7 @@ Glue the compilation process together.
 - **utils**
 - **value**
 - **client**
+- **composition**
 - **configuration**
 - **server**
 - **circuit**
diff --git a/docs/dev/api/concrete.fhe.compilation.module.md b/docs/dev/api/concrete.fhe.compilation.module.md
index 71b3d2003..f71d5b22a 100644
--- a/docs/dev/api/concrete.fhe.compilation.module.md
+++ b/docs/dev/api/concrete.fhe.compilation.module.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.module`
 Declaration of `FheModule` classes. 
@@ -9,7 +9,7 @@ Declaration of `FheModule` classes.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L31"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L32"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ExecutionRt`
 Runtime object class for execution. 
@@ -20,7 +20,7 @@ Runtime object class for execution.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L40"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L41"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `SimulationRt`
 Runtime object class for simulation. 
@@ -31,17 +31,22 @@ Runtime object class for simulation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L48"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L49"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `FheFunction`
 Fhe function class, allowing to run or simulate one function of an fhe module. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L57"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L59"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
 ```python
-__init__(name: str, runtime: Union[ExecutionRt, SimulationRt], graph: Graph)
+__init__(
+    name: str,
+    runtime: Union[ExecutionRt, SimulationRt],
+    graph: Graph,
+    configuration: Configuration
+)
 ```
 
 
@@ -239,7 +244,7 @@ Get all statistics of the function.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L192"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L211"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `decrypt`
 
@@ -263,7 +268,7 @@ Decrypt result(s) of evaluation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L74"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L83"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `draw`
 
@@ -297,7 +302,7 @@ That this function requires the python `pygraphviz` package which itself require
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L154"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L165"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypt`
 
@@ -321,7 +326,7 @@ Encrypt argument(s) to for evaluation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L210"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L233"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypt_run_decrypt`
 
@@ -343,7 +348,7 @@ Encrypt inputs, run the function, and decrypt the outputs in one go.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L172"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L187"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `run`
 
@@ -367,7 +372,7 @@ Evaluate the function.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L109"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L118"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `simulate`
 
@@ -390,12 +395,12 @@ Simulate execution of the function.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L514"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L537"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `FheModule`
 Fhe module class, to combine computation graphs, mlir, runtime objects into a single object. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L525"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L548"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -404,7 +409,8 @@ __init__(
     graphs: Dict[str, Graph],
     mlir: Module,
     compilation_context: CompilationContext,
-    configuration: Optional[Configuration] = None
+    configuration: Optional[Configuration] = None,
+    composition_rules: Optional[Iterable[CompositionRule]] = None
 )
 ```
 
@@ -413,6 +419,12 @@ __init__(
 
 
 
+---
+
+#### <kbd>property</kbd> client
+
+Returns the client object tied to the module if not in simulation mode. 
+
 ---
 
 #### <kbd>property</kbd> complexity
@@ -451,6 +463,12 @@ Get probability of error for each simple TLU (on a scalar).
 
 ---
 
+#### <kbd>property</kbd> server
+
+Get the server object tied to the module. 
+
+---
+
 #### <kbd>property</kbd> size_of_bootstrap_keys
 
 Get size of the bootstrap keys of the module. 
@@ -477,7 +495,7 @@ Get all statistics of the module.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L606"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L633"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `cleanup`
 
@@ -489,7 +507,7 @@ Cleanup the temporary library output directory.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L673"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L700"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `functions`
 
@@ -501,7 +519,7 @@ Return a dictionnary containing all the functions of the module.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module.py#L587"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module.py#L614"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `keygen`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.module_compiler.md b/docs/dev/api/concrete.fhe.compilation.module_compiler.md
index b8555fff2..4b713d7a0 100644
--- a/docs/dev/api/concrete.fhe.compilation.module_compiler.md
+++ b/docs/dev/api/concrete.fhe.compilation.module_compiler.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.module_compiler`
 Declaration of `MultiCompiler` class. 
@@ -9,12 +9,12 @@ Declaration of `MultiCompiler` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L32"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L46"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `FunctionDef`
 An object representing the definition of a function as used in an fhe module. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L46"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L58"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -34,7 +34,7 @@ __init__(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L137"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L153"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `evaluate`
 
@@ -62,12 +62,15 @@ Trace, fuse, measure bounds, and update values in the resulting graph in one go.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L105"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L115"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `trace`
 
 ```python
-trace(sample: Union[Any, Tuple[Any, ]])
+trace(
+    sample: Union[Any, Tuple[Any, ]],
+    artifacts: Optional[FunctionDebugArtifacts] = None
+)
 ```
 
 Trace the function and fuse the resulting graph with a sample input. 
@@ -76,16 +79,247 @@ Trace the function and fuse the resulting graph with a sample input.
 
 **Args:**
   sample (Union[Any, Tuple[Any, ...]]):  sample to use for tracing 
+ - <b>`artifacts`</b>:  Optiona[FunctionDebugArtifacts]:  the object to store artifacts in 
 
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L245"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L252"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `NotComposable`
+Composition policy that does not allow the forwarding of any output to any input. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L257"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_rules_iter`
+
+```python
+get_rules_iter(_funcs: List[FunctionDef]) → Iterable[CompositionRule]
+```
+
+Return an iterator over composition rules. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L264"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `AllComposable`
+Composition policy that allows to forward any output of the module to any of its input. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L269"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_rules_iter`
+
+```python
+get_rules_iter(funcs: List[Graph]) → Iterable[CompositionRule]
+```
+
+Return an iterator over composition rules. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L288"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `WireOutput`
+A protocol for wire outputs. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L294"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_outputs_iter`
+
+```python
+get_outputs_iter() → Iterable[CompositionClause]
+```
+
+Return an iterator over the possible outputs of the wire output. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L300"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `WireInput`
+A protocol for wire inputs. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L306"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_inputs_iter`
+
+```python
+get_inputs_iter() → Iterable[CompositionClause]
+```
+
+Return an iterator over the possible inputs of the wire input. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L312"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `Output`
+The output of a given function of a module. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L320"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_outputs_iter`
+
+```python
+get_outputs_iter() → Iterable[CompositionClause]
+```
+
+Return an iterator over the possible outputs of the wire output. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L327"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `AllOutputs`
+All the outputs of a given function of a module. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L334"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_outputs_iter`
+
+```python
+get_outputs_iter() → Iterable[CompositionClause]
+```
+
+Return an iterator over the possible outputs of the wire output. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L345"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `Input`
+The input of a given function of a module. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L353"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_inputs_iter`
+
+```python
+get_inputs_iter() → Iterable[CompositionClause]
+```
+
+Return an iterator over the possible inputs of the wire input. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L360"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `AllInputs`
+All the inputs of a given function of a module. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L367"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_inputs_iter`
+
+```python
+get_inputs_iter() → Iterable[CompositionClause]
+```
+
+Return an iterator over the possible inputs of the wire input. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L378"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `Wire`
+A forwarding rule between an output and an input. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L386"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_rules_iter`
+
+```python
+get_rules_iter(_) → Iterable[CompositionRule]
+```
+
+Return an iterator over composition rules. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L396"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `Wired`
+Composition policy which allows the forwarding of certain outputs to certain inputs. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L403"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `get_rules_iter`
+
+```python
+get_rules_iter(_) → Iterable[CompositionRule]
+```
+
+Return an iterator over composition rules. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L410"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `DebugManager`
 A debug manager, allowing streamlined debugging. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L253"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L418"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -102,7 +336,7 @@ __init__(config: Configuration)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L408"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L573"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `debug_assigned_graph`
 
@@ -114,7 +348,7 @@ Print assigned graphs if configuration tells so.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L399"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L564"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `debug_bit_width_assignments`
 
@@ -126,7 +360,7 @@ Print bitwidth assignments if configuration tells so.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L390"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L555"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `debug_bit_width_constaints`
 
@@ -138,7 +372,7 @@ Print bitwidth constraints if configuration tells so.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L372"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L537"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `debug_computation_graph`
 
@@ -150,7 +384,7 @@ Print computation graph if configuration tells so.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L417"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L582"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `debug_mlir`
 
@@ -162,7 +396,7 @@ Print mlir if configuration tells so.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L426"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L591"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `debug_statistics`
 
@@ -174,7 +408,7 @@ Print statistics if configuration tells so.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L264"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L429"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `debug_table`
 
@@ -186,7 +420,7 @@ Return a context manager that prints a table around what is printed inside the s
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L328"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L493"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `show_assigned_graph`
 
@@ -198,7 +432,7 @@ Tell if the configuration involves showing assigned graph.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L317"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L482"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `show_bit_width_assignments`
 
@@ -210,7 +444,7 @@ Tell if the configuration involves showing bitwidth assignments.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L306"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L471"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `show_bit_width_constraints`
 
@@ -222,7 +456,7 @@ Tell if the configuration involves showing bitwidth constraints.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L295"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L460"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `show_graph`
 
@@ -234,7 +468,7 @@ Tell if the configuration involves showing graph.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L339"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L504"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `show_mlir`
 
@@ -246,7 +480,7 @@ Tell if the configuration involves showing mlir.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L350"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L515"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `show_optimizer`
 
@@ -258,7 +492,7 @@ Tell if the configuration involves showing optimizer.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L361"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L526"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `show_statistics`
 
@@ -271,17 +505,17 @@ Tell if the configuration involves showing statistics.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L452"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L617"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ModuleCompiler`
 Compiler class for multiple functions, to glue the compilation pipeline. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L461"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L627"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
 ```python
-__init__(functions: List[FunctionDef])
+__init__(functions: List[FunctionDef], composition: CompositionPolicy)
 ```
 
 
@@ -293,7 +527,7 @@ __init__(functions: List[FunctionDef])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/module_compiler.py#L470"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/module_compiler.py#L636"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `compile`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.server.md b/docs/dev/api/concrete.fhe.compilation.server.md
index fa4047d84..6d6dfb9e7 100644
--- a/docs/dev/api/concrete.fhe.compilation.server.md
+++ b/docs/dev/api/concrete.fhe.compilation.server.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.server`
 Declaration of `Server` class. 
@@ -13,23 +13,24 @@ Declaration of `Server` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L51"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L53"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Server`
 Server class, which can be used to perform homomorphic computation. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L68"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L71"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
 ```python
 __init__(
     client_specs: ClientSpecs,
-    output_dir: Optional[TemporaryDirectory],
+    output_dir: Union[NoneType, str, Path],
     support: LibrarySupport,
     compilation_result: LibraryCompilationResult,
     server_program: ServerProgram,
-    is_simulated: bool
+    is_simulated: bool,
+    composition_rules: Optional[List[CompositionRule]]
 )
 ```
 
@@ -84,7 +85,7 @@ Get all statistics of the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L385"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L431"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `cleanup`
 
@@ -96,7 +97,7 @@ Cleanup the temporary library output directory.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L573"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L625"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clear_addition_count`
 
@@ -108,7 +109,7 @@ Get the number of clear additions in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L581"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L633"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clear_addition_count_per_parameter`
 
@@ -122,7 +123,7 @@ Get the number of clear additions per parameter in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L591"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L643"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clear_addition_count_per_tag`
 
@@ -134,7 +135,7 @@ Get the number of clear additions per tag in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L599"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L651"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clear_addition_count_per_tag_per_parameter`
 
@@ -148,7 +149,7 @@ Get the number of clear additions per tag per parameter in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L655"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L707"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clear_multiplication_count`
 
@@ -160,7 +161,7 @@ Get the number of clear multiplications in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L663"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L715"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clear_multiplication_count_per_parameter`
 
@@ -174,7 +175,7 @@ Get the number of clear multiplications per parameter in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L675"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L727"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clear_multiplication_count_per_tag`
 
@@ -186,7 +187,7 @@ Get the number of clear multiplications per tag in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L683"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L735"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clear_multiplication_count_per_tag_per_parameter`
 
@@ -200,7 +201,7 @@ Get the number of clear multiplications per tag per parameter in the compiled pr
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L92"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L97"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `create`
 
@@ -209,7 +210,8 @@ create(
     mlir: Union[str, Module],
     configuration: Configuration,
     is_simulated: bool = False,
-    compilation_context: Optional[CompilationContext] = None
+    compilation_context: Optional[CompilationContext] = None,
+    composition_rules: Optional[Iterable[CompositionRule]] = None
 ) → Server
 ```
 
@@ -226,9 +228,11 @@ Create a server using MLIR and output sign information.
 
  compilation_context (CompilationContext):  context to use for the Compiler 
 
+ composition_rules (Iterable[Tuple[str, int, str, int]]):  composition rules to be applied when compiling 
+
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L613"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L665"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypted_addition_count`
 
@@ -240,7 +244,7 @@ Get the number of encrypted additions in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L621"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L673"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypted_addition_count_per_parameter`
 
@@ -254,7 +258,7 @@ Get the number of encrypted additions per parameter in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L633"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L685"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypted_addition_count_per_tag`
 
@@ -266,7 +270,7 @@ Get the number of encrypted additions per tag in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L641"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L693"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypted_addition_count_per_tag_per_parameter`
 
@@ -280,7 +284,7 @@ Get the number of encrypted additions per tag per parameter in the compiled prog
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L697"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L749"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypted_negation_count`
 
@@ -292,7 +296,7 @@ Get the number of encrypted negations in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L705"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L757"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypted_negation_count_per_parameter`
 
@@ -306,7 +310,7 @@ Get the number of encrypted negations per parameter in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L769"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypted_negation_count_per_tag`
 
@@ -318,7 +322,7 @@ Get the number of encrypted negations per tag in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L725"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L777"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypted_negation_count_per_tag_per_parameter`
 
@@ -332,7 +336,7 @@ Get the number of encrypted negations per tag per parameter in the compiled prog
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L491"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L543"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `key_switch_count`
 
@@ -344,7 +348,7 @@ Get the number of key switches in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L499"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L551"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `key_switch_count_per_parameter`
 
@@ -356,7 +360,7 @@ Get the number of key switches per parameter in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L509"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L561"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `key_switch_count_per_tag`
 
@@ -368,7 +372,7 @@ Get the number of key switches per tag in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L517"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L569"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `key_switch_count_per_tag_per_parameter`
 
@@ -382,7 +386,7 @@ Get the number of key switches per tag per parameter in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L279"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L301"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `load`
 
@@ -404,7 +408,19 @@ Load the server from the given path in zip format.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L531"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L481"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `memory_usage_per_location`
+
+```python
+memory_usage_per_location(function: str = 'main') → Dict[str, int]
+```
+
+Get the memory usage of operations per location. 
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L583"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `packing_key_switch_count`
 
@@ -416,7 +432,7 @@ Get the number of packing key switches in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L539"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L591"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `packing_key_switch_count_per_parameter`
 
@@ -430,7 +446,7 @@ Get the number of packing key switches per parameter in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L551"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L603"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `packing_key_switch_count_per_tag`
 
@@ -442,7 +458,7 @@ Get the number of packing key switches per tag in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L559"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L611"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `packing_key_switch_count_per_tag_per_parameter`
 
@@ -456,7 +472,7 @@ Get the number of packing key switches per tag per parameter in the compiled pro
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L449"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L501"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `programmable_bootstrap_count`
 
@@ -468,7 +484,7 @@ Get the number of programmable bootstraps in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L457"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L509"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `programmable_bootstrap_count_per_parameter`
 
@@ -482,7 +498,7 @@ Get the number of programmable bootstraps per parameter in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L469"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L521"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `programmable_bootstrap_count_per_tag`
 
@@ -494,7 +510,7 @@ Get the number of programmable bootstraps per tag in the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L477"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L529"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `programmable_bootstrap_count_per_tag_per_parameter`
 
@@ -508,7 +524,7 @@ Get the number of programmable bootstraps per tag per parameter in the compiled
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L327"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L373"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `run`
 
@@ -538,7 +554,7 @@ Evaluate.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L231"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L247"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `save`
 
@@ -557,7 +573,7 @@ Save the server into the given path in zip format.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L435"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L487"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `size_of_inputs`
 
@@ -569,7 +585,7 @@ Get size of the inputs of the compiled program.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/server.py#L441"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/server.py#L493"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `size_of_outputs`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.specs.md b/docs/dev/api/concrete.fhe.compilation.specs.md
index 81695d95c..10a5488da 100644
--- a/docs/dev/api/concrete.fhe.compilation.specs.md
+++ b/docs/dev/api/concrete.fhe.compilation.specs.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/specs.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/specs.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.specs`
 Declaration of `ClientSpecs` class. 
@@ -9,12 +9,12 @@ Declaration of `ClientSpecs` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/specs.py#L15"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/specs.py#L15"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ClientSpecs`
 ClientSpecs class, to create Client objects. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/specs.py#L22"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/specs.py#L22"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -31,7 +31,7 @@ __init__(client_parameters: ClientParameters)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/specs.py#L42"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/specs.py#L42"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `deserialize`
 
@@ -53,7 +53,7 @@ Create client specs from its string representation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/specs.py#L31"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/specs.py#L31"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `serialize`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.utils.md b/docs/dev/api/concrete.fhe.compilation.utils.md
index 9840dd9f7..b6e9cf8c1 100644
--- a/docs/dev/api/concrete.fhe.compilation.utils.md
+++ b/docs/dev/api/concrete.fhe.compilation.utils.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.utils`
 Declaration of various functions and constants related to compilation. 
@@ -8,7 +8,7 @@ Declaration of various functions and constants related to compilation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L24"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L24"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `inputset`
 
@@ -36,7 +36,7 @@ Generate a random inputset.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L68"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L68"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `validate_input_args`
 
@@ -65,7 +65,7 @@ Validate input arguments.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L161"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L161"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `fuse`
 
@@ -90,7 +90,7 @@ Fuse appropriate subgraphs in a graph to a single Operation.Generic node.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L241"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L241"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `find_float_subgraph_with_unique_terminal_node`
 
@@ -118,7 +118,7 @@ Find a subgraph with float computations that end with an integer output.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L317"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L317"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `find_tlu_subgraph_with_multiple_variable_inputs_that_has_a_single_common_ancestor`
 
@@ -146,7 +146,7 @@ Find a subgraph with a tlu computation that has multiple variable inputs     whe
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L396"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L396"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `find_single_lca`
 
@@ -168,7 +168,7 @@ Returns  Optional[Node]:  single lca if it exists, None otherwise
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L446"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L446"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `is_single_common_ancestor`
 
@@ -198,7 +198,7 @@ Returns  bool:  True if `candidate` is a single common ancestor of `nodes`, Fals
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L577"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L577"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `find_closest_integer_output_nodes`
 
@@ -229,7 +229,7 @@ Find the closest upstream integer output nodes to a set of start nodes in a grap
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L624"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L624"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `add_nodes_from_to`
 
@@ -263,7 +263,7 @@ Add nodes from `from_nodes` to `to_nodes`, to `all_nodes`.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L672"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L672"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `convert_subgraph_to_subgraph_node`
 
@@ -302,7 +302,7 @@ Convert a subgraph to Operation.Generic node.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L783"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L783"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `check_subgraph_fusibility`
 
@@ -337,7 +337,7 @@ shuffling or reshaping a tensor make fusing impossible as there should be a one-
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L844"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L844"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `friendly_type_format`
 
@@ -350,7 +350,7 @@ Convert a type to a string. Remove package name and class/type keywords.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/utils.py#L862"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/utils.py#L862"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `get_terminal_size`
 
diff --git a/docs/dev/api/concrete.fhe.compilation.value.md b/docs/dev/api/concrete.fhe.compilation.value.md
index 396cfee79..bda9179e0 100644
--- a/docs/dev/api/concrete.fhe.compilation.value.md
+++ b/docs/dev/api/concrete.fhe.compilation.value.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/value.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/value.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.compilation.value`
 Declaration of `Value` class. 
@@ -9,12 +9,12 @@ Declaration of `Value` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/value.py#L12"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/value.py#L12"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Value`
 Value class, to store scalar or tensor values which can be encrypted or clear. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/value.py#L19"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/value.py#L19"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -31,7 +31,7 @@ __init__(inner: Value)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/value.py#L33"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/value.py#L33"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `deserialize`
 
@@ -53,7 +53,7 @@ Deserialize data from bytes.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/compilation/value.py#L22"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/compilation/value.py#L22"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `serialize`
 
diff --git a/docs/dev/api/concrete.fhe.dtypes.base.md b/docs/dev/api/concrete.fhe.dtypes.base.md
index b7580f8cf..38df86ebd 100644
--- a/docs/dev/api/concrete.fhe.dtypes.base.md
+++ b/docs/dev/api/concrete.fhe.dtypes.base.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/base.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/base.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.dtypes.base`
 Declaration of `BaseDataType` abstract class. 
@@ -9,7 +9,7 @@ Declaration of `BaseDataType` abstract class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/base.py#L8"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/base.py#L8"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `BaseDataType`
 BaseDataType abstract class, to form a basis for data types. 
diff --git a/docs/dev/api/concrete.fhe.dtypes.float.md b/docs/dev/api/concrete.fhe.dtypes.float.md
index 33a83934a..efff44380 100644
--- a/docs/dev/api/concrete.fhe.dtypes.float.md
+++ b/docs/dev/api/concrete.fhe.dtypes.float.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/float.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/float.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.dtypes.float`
 Declaration of `Float` class. 
@@ -9,12 +9,12 @@ Declaration of `Float` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/float.py#L8"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/float.py#L8"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Float`
 Float class, to represent floating point numbers. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/float.py#L15"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/float.py#L15"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
diff --git a/docs/dev/api/concrete.fhe.dtypes.integer.md b/docs/dev/api/concrete.fhe.dtypes.integer.md
index a652a0d67..08736e2a9 100644
--- a/docs/dev/api/concrete.fhe.dtypes.integer.md
+++ b/docs/dev/api/concrete.fhe.dtypes.integer.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/integer.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/integer.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.dtypes.integer`
 Declaration of `Integer` class. 
@@ -9,12 +9,12 @@ Declaration of `Integer` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/integer.py#L14"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/integer.py#L14"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Integer`
 Integer class, to represent integers. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/integer.py#L91"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/integer.py#L110"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -31,7 +31,7 @@ __init__(is_signed: bool, bit_width: int)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/integer.py#L137"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/integer.py#L156"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `can_represent`
 
@@ -53,7 +53,7 @@ Get whether `value` can be represented by the `Integer` or not.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/integer.py#L126"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/integer.py#L145"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `max`
 
@@ -70,7 +70,7 @@ Get the maximum value that can be represented by the `Integer`.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/integer.py#L115"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/integer.py#L134"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `min`
 
@@ -87,7 +87,7 @@ Get the minimum value that can be represented by the `Integer`.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/integer.py#L22"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/integer.py#L41"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `that_can_represent`
 
@@ -111,6 +111,30 @@ Get the minimal `Integer` that can represent `value`.
 
 
 
+**Raises:**
+  ValueError:  if `value` cannot be represented by `Integer` 
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/integer.py#L22"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `update_to_represent`
+
+```python
+update_to_represent(value: Any, force_signed: bool = False)
+```
+
+Update sign and width inplace to be able to represent `value`. 
+
+
+
+**Args:**
+  value (Any):  value that needs to be represented 
+
+ force_signed (bool, default = False):  whether to force signed integers or not 
+
+
+
 **Raises:**
   ValueError:  if `value` cannot be represented by `Integer` 
 
diff --git a/docs/dev/api/concrete.fhe.dtypes.md b/docs/dev/api/concrete.fhe.dtypes.md
index cf9aea6b1..327c61857 100644
--- a/docs/dev/api/concrete.fhe.dtypes.md
+++ b/docs/dev/api/concrete.fhe.dtypes.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.dtypes`
 Define available data types and their semantics. 
diff --git a/docs/dev/api/concrete.fhe.dtypes.utils.md b/docs/dev/api/concrete.fhe.dtypes.utils.md
index cc2a917f8..ae65b9337 100644
--- a/docs/dev/api/concrete.fhe.dtypes.utils.md
+++ b/docs/dev/api/concrete.fhe.dtypes.utils.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.dtypes.utils`
 Declaration of various functions and constants related to data types. 
@@ -8,7 +8,7 @@ Declaration of various functions and constants related to data types.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/dtypes/utils.py#L13"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/dtypes/utils.py#L13"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `combine_dtypes`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.array.md b/docs/dev/api/concrete.fhe.extensions.array.md
index 54d300597..75c160d3d 100644
--- a/docs/dev/api/concrete.fhe.extensions.array.md
+++ b/docs/dev/api/concrete.fhe.extensions.array.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/array.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/array.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.array`
 Declaration of `array` function, to simplify creation of encrypted arrays. 
@@ -8,7 +8,7 @@ Declaration of `array` function, to simplify creation of encrypted arrays.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/array.py#L16"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/array.py#L16"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `array`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.bits.md b/docs/dev/api/concrete.fhe.extensions.bits.md
index 7c2089324..20eec1369 100644
--- a/docs/dev/api/concrete.fhe.extensions.bits.md
+++ b/docs/dev/api/concrete.fhe.extensions.bits.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/bits.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/bits.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.bits`
 Bit extraction extensions. 
@@ -12,7 +12,7 @@ Bit extraction extensions.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/bits.py#L155"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/bits.py#L155"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `bits`
 
@@ -35,12 +35,12 @@ Extract bits of integers.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/bits.py#L19"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/bits.py#L19"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Bits`
 Bits class, to provide indexing into the bits of integers. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/bits.py#L26"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/bits.py#L26"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.convolution.md b/docs/dev/api/concrete.fhe.extensions.convolution.md
index bfe01ae10..a6d8e4367 100644
--- a/docs/dev/api/concrete.fhe.extensions.convolution.md
+++ b/docs/dev/api/concrete.fhe.extensions.convolution.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/convolution.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/convolution.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.convolution`
 Tracing and evaluation of convolution. 
@@ -11,7 +11,7 @@ Tracing and evaluation of convolution.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/convolution.py#L25"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/convolution.py#L25"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `conv`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.hint.md b/docs/dev/api/concrete.fhe.extensions.hint.md
index 9c93084ed..cd28738cd 100644
--- a/docs/dev/api/concrete.fhe.extensions.hint.md
+++ b/docs/dev/api/concrete.fhe.extensions.hint.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/hint.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/hint.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.hint`
 Declaration of hinting extensions, to provide more information to Concrete. 
@@ -8,7 +8,7 @@ Declaration of hinting extensions, to provide more information to Concrete.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/hint.py#L11"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/hint.py#L11"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `hint`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.identity.md b/docs/dev/api/concrete.fhe.extensions.identity.md
index 1d7fa7c2b..7e55fedd3 100644
--- a/docs/dev/api/concrete.fhe.extensions.identity.md
+++ b/docs/dev/api/concrete.fhe.extensions.identity.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/identity.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/identity.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.identity`
 Declaration of `identity` extension. 
@@ -8,7 +8,7 @@ Declaration of `identity` extension.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/identity.py#L12"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/identity.py#L12"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `identity`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.maxpool.md b/docs/dev/api/concrete.fhe.extensions.maxpool.md
index ff03406b1..845fb8a6b 100644
--- a/docs/dev/api/concrete.fhe.extensions.maxpool.md
+++ b/docs/dev/api/concrete.fhe.extensions.maxpool.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/maxpool.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/maxpool.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.maxpool`
 Tracing and evaluation of maxpool. 
@@ -16,7 +16,7 @@ Tracing and evaluation of maxpool.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/maxpool.py#L61"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/maxpool.py#L61"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `maxpool`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.md b/docs/dev/api/concrete.fhe.extensions.md
index ba3db8254..4fa512b8a 100644
--- a/docs/dev/api/concrete.fhe.extensions.md
+++ b/docs/dev/api/concrete.fhe.extensions.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions`
 Provide additional features that are not present in numpy. 
diff --git a/docs/dev/api/concrete.fhe.extensions.multivariate.md b/docs/dev/api/concrete.fhe.extensions.multivariate.md
index 229610dd9..6e8d0bd32 100644
--- a/docs/dev/api/concrete.fhe.extensions.multivariate.md
+++ b/docs/dev/api/concrete.fhe.extensions.multivariate.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/multivariate.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/multivariate.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.multivariate`
 Declaration of `multivariate` extension. 
@@ -8,7 +8,7 @@ Declaration of `multivariate` extension.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/multivariate.py#L16"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/multivariate.py#L16"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `multivariate`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.ones.md b/docs/dev/api/concrete.fhe.extensions.ones.md
index bbde30bba..ab303bf1d 100644
--- a/docs/dev/api/concrete.fhe.extensions.ones.md
+++ b/docs/dev/api/concrete.fhe.extensions.ones.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/ones.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/ones.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.ones`
 Declaration of `ones` and `one` functions, to simplify creation of encrypted ones. 
@@ -8,7 +8,7 @@ Declaration of `ones` and `one` functions, to simplify creation of encrypted one
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/ones.py#L14"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/ones.py#L14"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `ones`
 
@@ -31,7 +31,7 @@ Create an encrypted array of ones.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/ones.py#L46"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/ones.py#L46"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `one`
 
@@ -49,7 +49,7 @@ Create an encrypted scalar with the value of one.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/ones.py#L59"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/ones.py#L59"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `ones_like`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.relu.md b/docs/dev/api/concrete.fhe.extensions.relu.md
index 7dd3a6af1..abe71bccc 100644
--- a/docs/dev/api/concrete.fhe.extensions.relu.md
+++ b/docs/dev/api/concrete.fhe.extensions.relu.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/relu.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/relu.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.relu`
 Declaration of `relu` extension. 
@@ -8,7 +8,7 @@ Declaration of `relu` extension.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/relu.py#L15"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/relu.py#L15"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `relu`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.round_bit_pattern.md b/docs/dev/api/concrete.fhe.extensions.round_bit_pattern.md
index 8aa1ce608..ca4269410 100644
--- a/docs/dev/api/concrete.fhe.extensions.round_bit_pattern.md
+++ b/docs/dev/api/concrete.fhe.extensions.round_bit_pattern.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/round_bit_pattern.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/round_bit_pattern.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.round_bit_pattern`
 Declaration of `round_bit_pattern` function, to provide an interface for rounded table lookups. 
@@ -11,7 +11,7 @@ Declaration of `round_bit_pattern` function, to provide an interface for rounded
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/round_bit_pattern.py#L158"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/round_bit_pattern.py#L158"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `round_bit_pattern`
 
@@ -55,12 +55,12 @@ x = 0b_1011_1000 , lsbs_to_remove = 3 => 0b_1011_1000 x = 0b_1011_1001 , lsbs_to
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/round_bit_pattern.py#L25"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/round_bit_pattern.py#L25"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Adjusting`
 Adjusting class, to be used as early stop signal during adjustment. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/round_bit_pattern.py#L34"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/round_bit_pattern.py#L34"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -78,12 +78,12 @@ __init__(rounder: 'AutoRounder', input_min: int, input_max: int)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/round_bit_pattern.py#L41"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/round_bit_pattern.py#L41"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `AutoRounder`
 AutoRounder class, to optimize for number of msbs to keep during round bit pattern operation. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/round_bit_pattern.py#L54"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/round_bit_pattern.py#L54"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -100,7 +100,7 @@ __init__(target_msbs: int = 16)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/round_bit_pattern.py#L72"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/round_bit_pattern.py#L72"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `adjust`
 
@@ -115,7 +115,7 @@ Adjust AutoRounders in a function using an inputset.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/round_bit_pattern.py#L127"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/round_bit_pattern.py#L127"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dump_dict`
 
@@ -127,7 +127,7 @@ Dump properties of the rounder to a dict.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/round_bit_pattern.py#L141"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/round_bit_pattern.py#L141"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>classmethod</kbd> `load_dict`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.table.md b/docs/dev/api/concrete.fhe.extensions.table.md
index 37a811375..ca09c198f 100644
--- a/docs/dev/api/concrete.fhe.extensions.table.md
+++ b/docs/dev/api/concrete.fhe.extensions.table.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/table.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/table.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.table`
 Declaration of `LookupTable` class. 
@@ -9,12 +9,12 @@ Declaration of `LookupTable` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/table.py#L15"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/table.py#L15"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `LookupTable`
 LookupTable class, to provide a way to do direct table lookups. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/table.py#L23"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/table.py#L23"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -31,7 +31,7 @@ __init__(table: Any)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/table.py#L93"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/table.py#L93"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `apply`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.tag.md b/docs/dev/api/concrete.fhe.extensions.tag.md
index 9bf0195c5..9ad0851b9 100644
--- a/docs/dev/api/concrete.fhe.extensions.tag.md
+++ b/docs/dev/api/concrete.fhe.extensions.tag.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/tag.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/tag.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.tag`
 Declaration of `tag` context manager, to allow tagging certain nodes. 
diff --git a/docs/dev/api/concrete.fhe.extensions.truncate_bit_pattern.md b/docs/dev/api/concrete.fhe.extensions.truncate_bit_pattern.md
index e4cbf4c17..931295d95 100644
--- a/docs/dev/api/concrete.fhe.extensions.truncate_bit_pattern.md
+++ b/docs/dev/api/concrete.fhe.extensions.truncate_bit_pattern.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/truncate_bit_pattern.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/truncate_bit_pattern.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.truncate_bit_pattern`
 Declaration of `truncate_bit_pattern` extension. 
@@ -11,7 +11,7 @@ Declaration of `truncate_bit_pattern` extension.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/truncate_bit_pattern.py#L172"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/truncate_bit_pattern.py#L172"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `truncate_bit_pattern`
 
@@ -43,12 +43,12 @@ x = 0b_0000 , lsbs_to_remove = 2 => 0b_0000 x = 0b_0001 , lsbs_to_remove = 2 =>
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/truncate_bit_pattern.py#L24"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/truncate_bit_pattern.py#L24"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Adjusting`
 Adjusting class, to be used as early stop signal during adjustment. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/truncate_bit_pattern.py#L33"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/truncate_bit_pattern.py#L33"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -66,12 +66,12 @@ __init__(truncator: 'AutoTruncator', input_min: int, input_max: int)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/truncate_bit_pattern.py#L40"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/truncate_bit_pattern.py#L40"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `AutoTruncator`
 AutoTruncator class, to optimize for the number of msbs to keep during truncate operation. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/truncate_bit_pattern.py#L53"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/truncate_bit_pattern.py#L53"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -88,7 +88,7 @@ __init__(target_msbs: int = 16)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/truncate_bit_pattern.py#L71"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/truncate_bit_pattern.py#L71"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `adjust`
 
@@ -103,7 +103,7 @@ Adjust AutoTruncators in a function using an inputset.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/truncate_bit_pattern.py#L141"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/truncate_bit_pattern.py#L141"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dump_dict`
 
@@ -115,7 +115,7 @@ Dump properties of the truncator to a dict.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/truncate_bit_pattern.py#L155"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/truncate_bit_pattern.py#L155"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>classmethod</kbd> `load_dict`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.univariate.md b/docs/dev/api/concrete.fhe.extensions.univariate.md
index 99941461a..bf2b58898 100644
--- a/docs/dev/api/concrete.fhe.extensions.univariate.md
+++ b/docs/dev/api/concrete.fhe.extensions.univariate.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/univariate.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/univariate.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.univariate`
 Declaration of `univariate` function. 
@@ -8,7 +8,7 @@ Declaration of `univariate` function.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/univariate.py#L16"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/univariate.py#L16"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `univariate`
 
diff --git a/docs/dev/api/concrete.fhe.extensions.zeros.md b/docs/dev/api/concrete.fhe.extensions.zeros.md
index e3d711c57..7a1e14e60 100644
--- a/docs/dev/api/concrete.fhe.extensions.zeros.md
+++ b/docs/dev/api/concrete.fhe.extensions.zeros.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/zeros.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/zeros.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.extensions.zeros`
 Declaration of `zeros` and `zero` functions, to simplify creation of encrypted zeros. 
@@ -8,7 +8,7 @@ Declaration of `zeros` and `zero` functions, to simplify creation of encrypted z
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/zeros.py#L14"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/zeros.py#L14"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `zeros`
 
@@ -31,7 +31,7 @@ Create an encrypted array of zeros.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/zeros.py#L46"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/zeros.py#L46"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `zero`
 
@@ -44,12 +44,12 @@ Create an encrypted scalar with the value of zero.
 
 
 **Returns:**
-  Union[np.ndarray, Tracer]:  Tracer that represents the operation during tracing  ndarray with zero otherwise 
+  Union[np.ndarray, Tracer]:  Tracer that respresents the operation during tracing  ndarray with zero otherwise 
 
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/extensions/zeros.py#L59"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/extensions/zeros.py#L59"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `zeros_like`
 
diff --git a/docs/dev/api/concrete.fhe.internal.md b/docs/dev/api/concrete.fhe.internal.md
index 88262c26f..f2fbb8c08 100644
--- a/docs/dev/api/concrete.fhe.internal.md
+++ b/docs/dev/api/concrete.fhe.internal.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/internal/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/internal/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.internal`
 Export functions that are used internally by other modules for common things (e.g., assertions). 
diff --git a/docs/dev/api/concrete.fhe.internal.utils.md b/docs/dev/api/concrete.fhe.internal.utils.md
index 6b9b670c9..5b1fee467 100644
--- a/docs/dev/api/concrete.fhe.internal.utils.md
+++ b/docs/dev/api/concrete.fhe.internal.utils.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/internal/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/internal/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.internal.utils`
 Declaration of various functions and constants related to the entire project. 
@@ -8,7 +8,7 @@ Declaration of various functions and constants related to the entire project.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/internal/utils.py#L6"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/internal/utils.py#L6"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `assert_that`
 
@@ -33,7 +33,7 @@ Assert a condition.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/internal/utils.py#L26"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/internal/utils.py#L26"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `unreachable`
 
diff --git a/docs/dev/api/concrete.fhe.md b/docs/dev/api/concrete.fhe.md
index 41664f8e9..38b927523 100644
--- a/docs/dev/api/concrete.fhe.md
+++ b/docs/dev/api/concrete.fhe.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe`
 Concrete. 
@@ -12,6 +12,7 @@ Concrete.
 - **values**
 - **representation**
 - **tracing**
+- **tfhers**
 - **mlir**
 - **extensions**
 - **compilation**
diff --git a/docs/dev/api/concrete.fhe.mlir.context.md b/docs/dev/api/concrete.fhe.mlir.context.md
index 01be6b659..734522360 100644
--- a/docs/dev/api/concrete.fhe.mlir.context.md
+++ b/docs/dev/api/concrete.fhe.mlir.context.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.mlir.context`
 Declaration of `Context` class. 
@@ -10,16 +10,17 @@ Declaration of `Context` class.
 - **MAX_EXTRACTABLE_BIT**
 - **MIN_EXTRACTABLE_BIT**
 - **MAXIMUM_TLU_BIT_WIDTH**
+- **LUT_COSTS_V0_NORM2_0**
 
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L44"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L62"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Context`
 Context class, to perform operations on conversions. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L61"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L79"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -36,7 +37,7 @@ __init__(context: <locals>Context, graph: Graph, configuration: Configuration)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1554"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1846"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add`
 
@@ -50,7 +51,7 @@ add(resulting_type: ConversionType, x: Conversion, y: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1586"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1878"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `array`
 
@@ -64,16 +65,16 @@ array(resulting_type: ConversionType, elements: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1622"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1916"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
-### <kbd>method</kbd> `assign_static`
+### <kbd>method</kbd> `assign`
 
 ```python
-assign_static(
+assign(
     resulting_type: ConversionType,
     x: Conversion,
     y: Conversion,
-    index: Sequence[Union[int, integer, slice]]
+    index: Sequence[Union[int, integer, slice, ndarray, list, Conversion]]
 )
 ```
 
@@ -83,7 +84,7 @@ assign_static(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L145"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L228"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `attribute`
 
@@ -107,7 +108,7 @@ Create an MLIR attribute.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L821"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1110"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `best_chunk_ranges`
 
@@ -140,7 +141,7 @@ Calculate best chunk ranges for given operands.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1715"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1932"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `bitwise`
 
@@ -159,7 +160,7 @@ bitwise(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1862"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2079"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `bitwise_and`
 
@@ -177,7 +178,7 @@ bitwise_and(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1870"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2087"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `bitwise_or`
 
@@ -195,7 +196,7 @@ bitwise_or(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1878"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2095"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `bitwise_xor`
 
@@ -213,7 +214,7 @@ bitwise_xor(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1886"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2103"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `broadcast_to`
 
@@ -227,7 +228,7 @@ broadcast_to(x: Conversion, shape: Tuple[int, ])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1907"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2116"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `cast`
 
@@ -241,7 +242,7 @@ cast(resulting_type: ConversionType, x: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1523"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1815"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `cast_to_original_bit_width`
 
@@ -253,7 +254,7 @@ Cast a value to its original bit width using multiplication and reinterpretation
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L364"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L653"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `compare_with_subtraction`
 
@@ -269,7 +270,7 @@ Apply the final comparison table and return comparison result.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L259"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L548"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `comparison`
 
@@ -302,7 +303,7 @@ Compare two encrypted values.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L580"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L869"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `comparison_with_chunks`
 
@@ -321,7 +322,7 @@ Idea:  split x and y into small chunks  compare the chunks using table lookups
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L757"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1046"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `comparison_with_chunks_equals`
 
@@ -343,7 +344,7 @@ Check equality of encrypted values using chunks.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L400"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L689"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `comparison_with_subtraction_trick`
 
@@ -365,7 +366,7 @@ Additional Args:  x_minus_y_dtype (Integer):  minimal dtype that can be used to
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1923"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2132"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `concatenate`
 
@@ -383,12 +384,55 @@ concatenate(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1970"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L373"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `conditional`
+
+```python
+conditional(
+    resulting_type: Optional[ConversionType],
+    condition: Conversion,
+    then_builder: Callable[[], Optional[Conversion]],
+    else_builder: Optional[Callable[[], Optional[Conversion]]] = None
+) → Optional[Conversion]
+```
+
+Create an if conditional. 
+
+
+
+**Args:**
+  resulting_type (Optional[ConversionType]):  resulting type of the operation 
+
+ condition (Conversion):  condition of conditional 
+
+ then_builder (Callable[[], Optional[Conversion]]):  builder of then block of conditional 
+
+ else_builder (Optional[Callable[[], Optional[Conversion]]], default = None):  optional builder of else block of conditional 
+
+
+
+**Returns:**
+  Optional[Conversion]:  None if resulting type is None  conversion of the created operation otherwise 
+
+
+
+**Notes:**
+
+> - if resulting type is not None both then and else builders need to return a conversion with the same type as resulting type 
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2174"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `constant`
 
 ```python
-constant(resulting_type: ConversionType, data: Any) → Conversion
+constant(
+    resulting_type: ConversionType,
+    data: Any,
+    use_cache: bool = True
+) → Conversion
 ```
 
 
@@ -397,7 +441,7 @@ constant(resulting_type: ConversionType, data: Any) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1993"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2203"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `conv2d`
 
@@ -420,7 +464,7 @@ conv2d(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L882"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1174"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `convert_to_chunks_and_map`
 
@@ -465,7 +509,7 @@ Extract the chunks of two values, pack them in a single integer and map the inte
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2058"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2268"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dot`
 
@@ -479,7 +523,7 @@ dot(resulting_type: ConversionType, x: Conversion, y: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2131"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2341"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dynamic_tlu`
 
@@ -497,7 +541,7 @@ dynamic_tlu(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L81"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L99"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `eint`
 
@@ -509,7 +553,19 @@ Get encrypted unsigned integer type (e.g., !FHE.eint<3>, !FHE.eint<5>).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2166"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L171"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `element_typeof`
+
+```python
+element_typeof(value: Union[Conversion, ConversionType]) → ConversionType
+```
+
+Get type corresponding to the elements of a tensor type. 
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2376"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `encrypt`
 
@@ -523,7 +579,7 @@ encrypt(resulting_type: ConversionType, x: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2173"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2383"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `equal`
 
@@ -537,7 +593,7 @@ equal(resulting_type: ConversionType, x: Conversion, y: Conversion) → Conversi
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L170"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L253"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `error`
 
@@ -554,7 +610,7 @@ Fail compilation with an error.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L87"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L105"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `esint`
 
@@ -566,7 +622,7 @@ Get encrypted signed integer type (e.g., !FHE.esint<3>, !FHE.esint<5>).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2176"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2404"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `extract_bits`
 
@@ -584,7 +640,7 @@ extract_bits(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2266"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2529"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `flatten`
 
@@ -598,7 +654,66 @@ flatten(x: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2269"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L457"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `for_loop`
+
+```python
+for_loop(
+    lower_bound: int,
+    upper_bound: int,
+    body: Union[Callable[[Conversion], Optional[Conversion]], Callable[[Conversion, Conversion], Optional[Conversion]]],
+    output: Optional[Conversion] = None,
+    step: int = 1
+) → Optional[Conversion]
+```
+
+Create a for loop. 
+
+
+
+**Args:**
+  lower_bound (int):  starting position of the for loop 
+
+ upper_bound (int):  upper bound of the for loop 
+
+ body (Union[  Callable[[Conversion], Optional[Conversion]],  Callable[[Conversion, Conversion], Optional[Conversion]],  ]):  body of the for loop 
+
+ output (Optional[Conversion], default = None):  initial value of the output of the for loop 
+
+ step (int, default = 1):  step between the iterations of the for loop 
+
+
+
+**Returns:**
+  Optional[Conversion]:  None if output is None  conversion of the created operation otherwise 
+
+
+
+**Notes:**
+
+> - if output is None body builder must take a single indexing variable argument - if output is not None body builder must take an indexing variable and output arguments and body must end with an scf yield operation with the updated output 
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L190"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `fork_type`
+
+```python
+fork_type(
+    type_: ConversionType,
+    bit_width: Optional[int] = None,
+    is_signed: Optional[bool] = None,
+    shape: Optional[Tuple[int, ]] = None
+) → ConversionType
+```
+
+Fork a type with some properties update. 
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2532"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `greater`
 
@@ -616,7 +731,7 @@ greater(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2272"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2535"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `greater_equal`
 
@@ -634,7 +749,7 @@ greater_equal(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L75"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L93"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `i`
 
@@ -646,7 +761,7 @@ Get clear signless integer type (e.g., i3, i5).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2280"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2543"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `identity`
 
@@ -660,15 +775,15 @@ identity(resulting_type: ConversionType, x: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2312"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2575"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
-### <kbd>method</kbd> `index_static`
+### <kbd>method</kbd> `index`
 
 ```python
-index_static(
+index(
     resulting_type: ConversionType,
     x: Conversion,
-    index: Sequence[Union[int, integer, slice, ndarray, list]]
+    index: Sequence[Union[int, integer, slice, ndarray, list, Conversion]]
 ) → Conversion
 ```
 
@@ -678,37 +793,19 @@ index_static(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2447"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
-
-### <kbd>method</kbd> `index_static_fancy`
-
-```python
-index_static_fancy(
-    resulting_type: ConversionType,
-    x: Conversion,
-    index: Sequence[Union[int, integer, slice, ndarray, list]]
-) → Conversion
-```
-
-
-
-
-
----
-
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L93"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L111"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `index_type`
 
 ```python
-index_type() → Type
+index_type() → ConversionType
 ```
 
 Get index type. 
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L181"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L264"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `is_bit_width_compatible`
 
@@ -720,7 +817,7 @@ Check if conversion types are compatible in terms of bit-width.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2479"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2590"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `less`
 
@@ -734,7 +831,7 @@ less(resulting_type: ConversionType, x: Conversion, y: Conversion) → Conversio
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2482"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2593"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `less_equal`
 
@@ -752,7 +849,7 @@ less_equal(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L130"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L213"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `location`
 
@@ -764,7 +861,7 @@ Create an MLIR location from the node that is being converted.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2490"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2601"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `lsb`
 
@@ -778,7 +875,7 @@ lsb(resulting_type: ConversionType, x: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2497"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2608"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `matmul`
 
@@ -796,7 +893,7 @@ matmul(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2571"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2682"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `maximum`
 
@@ -814,7 +911,7 @@ maximum(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2644"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2755"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `maxpool2d`
 
@@ -834,7 +931,7 @@ maxpool2d(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2693"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2804"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `minimum`
 
@@ -852,7 +949,7 @@ minimum(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1164"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1456"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `minimum_maximum_with_chunks`
 
@@ -869,7 +966,7 @@ Calculate minimum or maximum between two encrypted values using chunks.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1104"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1396"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `minimum_maximum_with_trick`
 
@@ -891,7 +988,7 @@ Additional Args:  x_minus_y_dtype (Integer):  minimal dtype that can be used to
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2767"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2878"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `mul`
 
@@ -905,7 +1002,7 @@ mul(resulting_type: ConversionType, x: Conversion, y: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2852"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2963"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `multi_tlu`
 
@@ -924,7 +1021,7 @@ multi_tlu(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1405"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1697"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `multiplication_with_boolean`
 
@@ -942,7 +1039,7 @@ Calculate boolean * value using bits.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2932"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3053"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `multivariate_multi_tlu`
 
@@ -961,7 +1058,7 @@ multivariate_multi_tlu(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2921"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3042"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `multivariate_tlu`
 
@@ -979,7 +1076,7 @@ multivariate_tlu(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2944"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3065"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `neg`
 
@@ -993,7 +1090,19 @@ neg(resulting_type: ConversionType, x: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2962"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L117"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `none_type`
+
+```python
+none_type() → ConversionType
+```
+
+Get none type. 
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3083"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `not_equal`
 
@@ -1011,7 +1120,7 @@ not_equal(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2970"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3091"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `ones`
 
@@ -1025,16 +1134,17 @@ ones(resulting_type: ConversionType) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L206"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L289"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `operation`
 
 ```python
 operation(
     operation: Callable,
-    resulting_type: ConversionType,
+    resulting_type: Optional[ConversionType],
     *args,
     original_bit_width: Optional[int] = None,
+    use_cache: bool = True,
     **kwargs
 ) → Conversion
 ```
@@ -1046,12 +1156,14 @@ Create a conversion from an MLIR operation.
 **Args:**
   operation (Callable):  MLIR operation to create (e.g., fhe.AddEintOp) 
 
- resulting_type (ConversionType):  type of the output of the operation 
+ resulting_type (Optional[ConversionType]):  optional type of the output of the operation 
 
  *args (Any):  args to pass to the operation 
 
  original_bit_width (Optional[int], default = None):  original bit width of the resulting conversion 
 
+ use_cache (bool, default = True):  whether to use the operation cache or not 
+
  *kwargs (Any):  kwargs to pass to the operation 
 
 **Returns:**
@@ -1059,7 +1171,7 @@ Create a conversion from an MLIR operation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L1022"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L1314"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `pack_multivariate_inputs`
 
@@ -1081,7 +1193,7 @@ Packs inputs of multivariate table lookups.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3761"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3888"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `reinterpret`
 
@@ -1099,7 +1211,7 @@ reinterpret(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L2984"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3105"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `relu`
 
@@ -1113,7 +1225,7 @@ relu(resulting_type: ConversionType, x: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3040"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3161"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `reshape`
 
@@ -1127,7 +1239,7 @@ reshape(x: Conversion, shape: Tuple[int, ]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3177"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3292"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `round_bit_pattern`
 
@@ -1147,7 +1259,21 @@ round_bit_pattern(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3312"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2393"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `safe_reduce_precision`
+
+```python
+safe_reduce_precision(x: Conversion, bit_width: int) → Conversion
+```
+
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3429"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `shift`
 
@@ -1167,7 +1293,21 @@ shift(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3513"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L2386"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `shift_left_at_constant_precision`
+
+```python
+shift_left_at_constant_precision(x: Conversion, rank: int) → Conversion
+```
+
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3630"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `sub`
 
@@ -1181,7 +1321,7 @@ sub(resulting_type: ConversionType, x: Conversion, y: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3546"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3663"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `sum`
 
@@ -1200,7 +1340,7 @@ sum(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L99"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L123"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `tensor`
 
@@ -1212,7 +1352,7 @@ Get tensor type (e.g., tensor<5xi3>, tensor<3x2x!FHE.eint<5>>).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3595"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3712"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `tensorize`
 
@@ -1226,7 +1366,7 @@ tensorize(x: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3611"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3723"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `tlu`
 
@@ -1240,7 +1380,7 @@ tlu(resulting_type: ConversionType, on: Conversion, table: Sequence[int])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3665"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3792"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `to_signed`
 
@@ -1254,7 +1394,7 @@ to_signed(x: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3687"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3814"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `to_signedness`
 
@@ -1268,7 +1408,7 @@ to_signedness(x: Conversion, of: ConversionType) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3690"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3817"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `to_unsigned`
 
@@ -1282,7 +1422,7 @@ to_unsigned(x: Conversion) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3712"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3839"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `transpose`
 
@@ -1300,7 +1440,7 @@ transpose(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3723"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3850"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `tree_add`
 
@@ -1314,7 +1454,7 @@ tree_add(resulting_type: ConversionType, xs: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3741"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3868"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `truncate_bit_pattern`
 
@@ -1328,7 +1468,7 @@ truncate_bit_pattern(x: Conversion, lsbs_to_remove: int) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L442"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L731"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `try_comparison_with_clipping_trick`
 
@@ -1357,19 +1497,19 @@ Additional Args:  smaller_minus_clipped_bigger_dtype (Integer):  minimal dtype t
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L109"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L133"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `typeof`
 
 ```python
-typeof(value: Union[ValueDescription, Node]) → ConversionType
+typeof(value: Optional[ValueDescription, Node]) → ConversionType
 ```
 
 Get type corresponding to a value or a node. 
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3778"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3906"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `where`
 
@@ -1388,7 +1528,7 @@ where(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/context.py#L3836"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/context.py#L3964"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `zeros`
 
diff --git a/docs/dev/api/concrete.fhe.mlir.conversion.md b/docs/dev/api/concrete.fhe.mlir.conversion.md
index d83422f60..9d391b84a 100644
--- a/docs/dev/api/concrete.fhe.mlir.conversion.md
+++ b/docs/dev/api/concrete.fhe.mlir.conversion.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/conversion.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/conversion.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.mlir.conversion`
 Declaration of `ConversionType` and `Conversion` classes. 
@@ -9,12 +9,12 @@ Declaration of `ConversionType` and `Conversion` classes.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/conversion.py#L25"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/conversion.py#L27"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ConversionType`
 ConversionType class, to make it easier to work with MLIR types. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/conversion.py#L37"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/conversion.py#L41"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -64,12 +64,12 @@ __init__(mlir: Type)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/conversion.py#L111"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/conversion.py#L139"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Conversion`
 Conversion class, to store MLIR operations with additional information. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/conversion.py#L123"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/conversion.py#L151"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -158,7 +158,7 @@ If not explicitly set, defaults to the actual bit width.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/conversion.py#L131"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/conversion.py#L159"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `set_original_bit_width`
 
diff --git a/docs/dev/api/concrete.fhe.mlir.converter.md b/docs/dev/api/concrete.fhe.mlir.converter.md
index 0f55a7349..4263a3a2d 100644
--- a/docs/dev/api/concrete.fhe.mlir.converter.md
+++ b/docs/dev/api/concrete.fhe.mlir.converter.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.mlir.converter`
 Declaration of `Converter` class. 
@@ -12,17 +12,20 @@ Declaration of `Converter` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L31"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L32"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Converter`
 Converter class, to convert a computation graph to MLIR. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L38"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L40"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
 ```python
-__init__(configuration: Configuration)
+__init__(
+    configuration: Configuration,
+    composition_rules: Optional[Iterable[CompositionRule]] = None
+)
 ```
 
 
@@ -34,7 +37,7 @@ __init__(configuration: Configuration)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L282"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L293"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `add`
 
@@ -48,7 +51,7 @@ add(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L286"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L297"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `array`
 
@@ -62,7 +65,21 @@ array(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L290"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L301"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `assign_dynamic`
+
+```python
+assign_dynamic(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
+```
+
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L322"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `assign_static`
 
@@ -76,7 +93,7 @@ assign_static(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L299"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L331"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `bitwise_and`
 
@@ -90,7 +107,7 @@ bitwise_and(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L307"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L339"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `bitwise_or`
 
@@ -104,7 +121,7 @@ bitwise_or(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L315"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L347"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `bitwise_xor`
 
@@ -118,7 +135,7 @@ bitwise_xor(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L323"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L355"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `broadcast_to`
 
@@ -132,7 +149,7 @@ broadcast_to(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L327"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L359"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `concatenate`
 
@@ -146,7 +163,7 @@ concatenate(ctx: Context, node: Node, preds: List[Conversion])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L334"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L366"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `constant`
 
@@ -160,7 +177,7 @@ constant(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L338"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L370"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `conv1d`
 
@@ -174,7 +191,7 @@ conv1d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L342"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L374"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `conv2d`
 
@@ -188,7 +205,7 @@ conv2d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L355"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L387"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `conv3d`
 
@@ -202,7 +219,7 @@ conv3d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L105"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L112"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `convert`
 
@@ -229,7 +246,7 @@ Return:  MlirModule:  In-memory MLIR module corresponding to the graph
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L41"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L48"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `convert_many`
 
@@ -250,7 +267,7 @@ Return:  MlirModule:  In-memory MLIR module corresponding to the graph
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L359"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L391"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `copy`
 
@@ -264,7 +281,7 @@ copy(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L363"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L395"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dot`
 
@@ -278,7 +295,7 @@ dot(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L367"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L399"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dynamic_tlu`
 
@@ -292,7 +309,7 @@ dynamic_tlu(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L371"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L403"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `equal`
 
@@ -306,7 +323,7 @@ equal(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L379"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L411"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `expand_dims`
 
@@ -320,7 +337,7 @@ expand_dims(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L383"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L415"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `extract_bit_pattern`
 
@@ -338,7 +355,7 @@ extract_bit_pattern(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L387"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L419"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `greater`
 
@@ -352,7 +369,7 @@ greater(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L395"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L427"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `greater_equal`
 
@@ -366,7 +383,7 @@ greater_equal(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L403"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L435"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `identity`
 
@@ -380,7 +397,21 @@ identity(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L407"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L439"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `index_dynamic`
+
+```python
+index_dynamic(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
+```
+
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L458"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `index_static`
 
@@ -394,7 +425,7 @@ index_static(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L415"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L466"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `left_shift`
 
@@ -408,7 +439,7 @@ left_shift(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L429"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L480"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `less`
 
@@ -422,7 +453,7 @@ less(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L437"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L488"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `less_equal`
 
@@ -436,7 +467,7 @@ less_equal(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L445"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L496"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `matmul`
 
@@ -450,7 +481,7 @@ matmul(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L449"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L500"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `maximum`
 
@@ -464,7 +495,7 @@ maximum(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L457"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L508"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `maxpool1d`
 
@@ -478,7 +509,7 @@ maxpool1d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L461"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L512"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `maxpool2d`
 
@@ -492,7 +523,7 @@ maxpool2d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L471"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L522"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `maxpool3d`
 
@@ -506,7 +537,7 @@ maxpool3d(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L475"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L526"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `minimum`
 
@@ -520,7 +551,7 @@ minimum(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L483"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L534"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `multiply`
 
@@ -534,7 +565,7 @@ multiply(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L487"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L538"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `negative`
 
@@ -548,7 +579,7 @@ negative(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L245"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L256"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `node`
 
@@ -571,7 +602,7 @@ Return:  Conversion:  conversion object corresponding to node
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L491"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L542"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `not_equal`
 
@@ -585,7 +616,7 @@ not_equal(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L499"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L550"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `ones`
 
@@ -599,7 +630,7 @@ ones(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L206"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L213"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `process`
 
@@ -616,7 +647,7 @@ Process a computation graph for MLIR conversion.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L503"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L554"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `relu`
 
@@ -630,7 +661,7 @@ relu(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L507"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L558"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `reshape`
 
@@ -644,7 +675,7 @@ reshape(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L511"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L562"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `right_shift`
 
@@ -658,7 +689,7 @@ right_shift(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L525"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L576"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `round_bit_pattern`
 
@@ -676,7 +707,7 @@ round_bit_pattern(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L136"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L143"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `simplify_tag`
 
@@ -688,7 +719,7 @@ Keep only `n` higher tag parts.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L568"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L623"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `squeeze`
 
@@ -702,7 +733,7 @@ squeeze(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L131"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L138"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `stdout_with_ansi_support`
 
@@ -714,7 +745,7 @@ Detect if ansi characters can be used (e.g. not the case in notebooks).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L555"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L610"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `subtract`
 
@@ -728,7 +759,7 @@ subtract(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L559"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L614"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `sum`
 
@@ -742,7 +773,39 @@ sum(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L639"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L909"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `tfhers_from_native`
+
+```python
+tfhers_from_native(
+    ctx: Context,
+    node: Node,
+    preds: List[Conversion]
+) → Conversion
+```
+
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L877"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `tfhers_to_native`
+
+```python
+tfhers_to_native(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
+```
+
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L694"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `tlu`
 
@@ -756,7 +819,7 @@ tlu(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L584"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L639"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>classmethod</kbd> `tlu_adjust`
 
@@ -770,7 +833,7 @@ tlu_adjust(table, variable_input, target_bit_width, clipping, reduce_precision)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L148"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L155"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>classmethod</kbd> `trace_progress`
 
@@ -795,7 +858,7 @@ Add a trace_message for progress.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L797"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L857"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `transpose`
 
@@ -809,7 +872,7 @@ transpose(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L805"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L865"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `truncate_bit_pattern`
 
@@ -827,7 +890,7 @@ truncate_bit_pattern(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L809"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L869"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `where`
 
@@ -841,7 +904,7 @@ where(ctx: Context, node: Node, preds: List[Conversion]) → Conversion
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/converter.py#L813"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/converter.py#L873"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `zeros`
 
diff --git a/docs/dev/api/concrete.fhe.mlir.md b/docs/dev/api/concrete.fhe.mlir.md
index 3b0416396..4a2e730ff 100644
--- a/docs/dev/api/concrete.fhe.mlir.md
+++ b/docs/dev/api/concrete.fhe.mlir.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.mlir`
 Provide `computation graph` to `mlir` functionality. 
diff --git a/docs/dev/api/concrete.fhe.mlir.processors.assign_bit_widths.md b/docs/dev/api/concrete.fhe.mlir.processors.assign_bit_widths.md
index 018237b08..3b8f9d7da 100644
--- a/docs/dev/api/concrete.fhe.mlir.processors.assign_bit_widths.md
+++ b/docs/dev/api/concrete.fhe.mlir.processors.assign_bit_widths.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.mlir.processors.assign_bit_widths`
 Declaration of `AssignBitWidths` graph processor. 
@@ -9,7 +9,7 @@ Declaration of `AssignBitWidths` graph processor.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L20"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L20"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `AssignBitWidths`
 AssignBitWidths graph processor, to assign proper bit-widths to be compatible with FHE. 
@@ -21,14 +21,14 @@ There are two modes:
 There is preference list for comparison strategies. 
 - Strategies will be traversed in order and bit-widths  will be assigned according to the first available strategy. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L41"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L41"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
 ```python
 __init__(
     single_precision: bool,
-    composable: bool,
+    composition_rules: List[CompositionRule],
     comparison_strategy_preference: List[ComparisonStrategy],
     bitwise_strategy_preference: List[BitwiseStrategy],
     shifts_with_promotion: bool,
@@ -46,7 +46,7 @@ __init__(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L59"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L59"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `apply_many`
 
@@ -61,12 +61,12 @@ apply_many(graphs: Dict[str, Graph])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L131"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L131"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `AdditionalConstraints`
 AdditionalConstraints class to customize bit-width assignment step easily. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L151"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L151"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -92,7 +92,7 @@ __init__(
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L232"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L236"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `all_inputs_are_encrypted`
 
@@ -106,7 +106,7 @@ all_inputs_are_encrypted(node: Node, preds: List[Node]) → bool
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L290"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L294"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `bitwise`
 
@@ -120,7 +120,7 @@ bitwise(node: Node, preds: List[Node])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L263"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L267"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `comparison`
 
@@ -134,7 +134,7 @@ comparison(node: Node, preds: List[Node])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L224"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L228"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `constraint`
 
@@ -148,7 +148,7 @@ constraint(node: Node, constraint: BoolRef)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L172"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L172"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `generate_for`
 
@@ -167,7 +167,7 @@ Generate additional constraints for a node.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L238"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L242"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `has_overflow_protection`
 
@@ -181,7 +181,7 @@ has_overflow_protection(node: Node, preds: List[Node]) → bool
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L249"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L253"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `inputs_and_output_share_precision`
 
@@ -195,7 +195,7 @@ inputs_and_output_share_precision(node: Node, preds: List[Node])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L254"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L258"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `inputs_require_one_more_bit`
 
@@ -209,7 +209,7 @@ inputs_require_one_more_bit(node: Node, preds: List[Node])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L245"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L249"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `inputs_share_precision`
 
@@ -223,7 +223,7 @@ inputs_share_precision(node: Node, preds: List[Node])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L350"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L354"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `min_max`
 
@@ -237,7 +237,7 @@ min_max(node: Node, preds: List[Node])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L323"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L327"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `multivariate`
 
@@ -251,7 +251,7 @@ multivariate(node: Node, preds: List[Node])
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/assign_bit_widths.py#L235"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_bit_widths.py#L239"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `some_inputs_are_clear`
 
diff --git a/docs/dev/api/concrete.fhe.mlir.processors.assign_node_ids.md b/docs/dev/api/concrete.fhe.mlir.processors.assign_node_ids.md
new file mode 100644
index 000000000..748d4ee05
--- /dev/null
+++ b/docs/dev/api/concrete.fhe.mlir.processors.assign_node_ids.md
@@ -0,0 +1,34 @@
+<!-- markdownlint-disable -->
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_node_ids.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+# <kbd>module</kbd> `concrete.fhe.mlir.processors.assign_node_ids`
+Declaration of `AssignNodeIds` graph processor. 
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_node_ids.py#L10"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `AssignNodeIds`
+AssignNodeIds graph processor, to assign node id (%0, %1, etc.) to node properties. 
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/assign_node_ids.py#L15"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `apply_many`
+
+```python
+apply_many(graphs: Dict[str, Graph])
+```
+
+
+
+
+
+
diff --git a/docs/dev/api/concrete.fhe.mlir.processors.check_integer_only.md b/docs/dev/api/concrete.fhe.mlir.processors.check_integer_only.md
index 8b3cadcad..acb97450b 100644
--- a/docs/dev/api/concrete.fhe.mlir.processors.check_integer_only.md
+++ b/docs/dev/api/concrete.fhe.mlir.processors.check_integer_only.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/check_integer_only.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/check_integer_only.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.mlir.processors.check_integer_only`
 Declaration of `CheckIntegerOnly` graph processor. 
@@ -9,7 +9,7 @@ Declaration of `CheckIntegerOnly` graph processor.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/check_integer_only.py#L9"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/check_integer_only.py#L9"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `CheckIntegerOnly`
 CheckIntegerOnly graph processor, to make sure the graph only contains integer nodes. 
@@ -19,7 +19,7 @@ CheckIntegerOnly graph processor, to make sure the graph only contains integer n
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/check_integer_only.py#L14"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/check_integer_only.py#L14"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `apply`
 
diff --git a/docs/dev/api/concrete.fhe.mlir.processors.md b/docs/dev/api/concrete.fhe.mlir.processors.md
index 1ddc4d03e..e3796ff2e 100644
--- a/docs/dev/api/concrete.fhe.mlir.processors.md
+++ b/docs/dev/api/concrete.fhe.mlir.processors.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.mlir.processors`
 All graph processors. 
@@ -8,6 +8,7 @@ All graph processors.
 **Global Variables**
 ---------------
 - **assign_bit_widths**
+- **assign_node_ids**
 - **check_integer_only**
 - **process_rounding**
 
diff --git a/docs/dev/api/concrete.fhe.mlir.processors.process_rounding.md b/docs/dev/api/concrete.fhe.mlir.processors.process_rounding.md
index af4858577..767e2386e 100644
--- a/docs/dev/api/concrete.fhe.mlir.processors.process_rounding.md
+++ b/docs/dev/api/concrete.fhe.mlir.processors.process_rounding.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/process_rounding.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/process_rounding.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.mlir.processors.process_rounding`
 Declaration of `ProcessRounding` graph processor. 
@@ -9,12 +9,12 @@ Declaration of `ProcessRounding` graph processor.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/process_rounding.py#L17"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/process_rounding.py#L17"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ProcessRounding`
 ProcessRounding graph processor, to analyze rounding and support regular operations on it. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/process_rounding.py#L24"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/process_rounding.py#L24"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -31,7 +31,7 @@ __init__(rounding_exactness: Exactness)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/process_rounding.py#L30"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/process_rounding.py#L30"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `apply`
 
@@ -45,7 +45,7 @@ apply(graph: Graph)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/process_rounding.py#L49"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/process_rounding.py#L49"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `process_predecessors`
 
@@ -57,7 +57,7 @@ Process predecessors of the rounding.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/process_rounding.py#L157"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/process_rounding.py#L157"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `process_successors`
 
@@ -69,7 +69,7 @@ Process successors of the rounding.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/processors/process_rounding.py#L87"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/processors/process_rounding.py#L87"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `replace_with_tlu`
 
diff --git a/docs/dev/api/concrete.fhe.mlir.utils.md b/docs/dev/api/concrete.fhe.mlir.utils.md
index 47f7f8706..94e5ee4c7 100644
--- a/docs/dev/api/concrete.fhe.mlir.utils.md
+++ b/docs/dev/api/concrete.fhe.mlir.utils.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.mlir.utils`
 Declaration of various functions and constants related to MLIR conversion. 
@@ -11,7 +11,7 @@ Declaration of various functions and constants related to MLIR conversion.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L49"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/utils.py#L49"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `flood_replace_none_values`
 
@@ -29,7 +29,7 @@ Use flooding algorithm to replace `None` values.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L80"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/utils.py#L80"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `construct_table_multivariate`
 
@@ -54,7 +54,7 @@ Construct the lookup table for a multivariate node.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L142"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/utils.py#L142"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `construct_table`
 
@@ -85,7 +85,7 @@ Construct the lookup table for an Operation.Generic node.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L270"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/utils.py#L276"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `construct_deduplicated_tables`
 
@@ -132,12 +132,12 @@ means the lookup on 3x2 input will result in
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L32"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/utils.py#L32"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `HashableNdarray`
 HashableNdarray class, to use numpy arrays in dictionaries. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L39"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/utils.py#L39"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -155,7 +155,7 @@ __init__(array: ndarray)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/mlir/utils.py#L368"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/mlir/utils.py#L374"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Comparison`
 Comparison enum, to store the result comparison in 2-bits as there are three possible outcomes. 
diff --git a/docs/dev/api/concrete.fhe.representation.evaluator.md b/docs/dev/api/concrete.fhe.representation.evaluator.md
index 97194330a..ca215a459 100644
--- a/docs/dev/api/concrete.fhe.representation.evaluator.md
+++ b/docs/dev/api/concrete.fhe.representation.evaluator.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/evaluator.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/evaluator.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.representation.evaluator`
 Declaration of various `Evaluator` classes, to make graphs picklable. 
@@ -9,12 +9,12 @@ Declaration of various `Evaluator` classes, to make graphs picklable.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/evaluator.py#L8"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/evaluator.py#L8"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ConstantEvaluator`
 ConstantEvaluator class, to evaluate Operation.Constant nodes. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/evaluator.py#L13"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/evaluator.py#L13"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -32,7 +32,7 @@ __init__(properties)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/evaluator.py#L20"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/evaluator.py#L20"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `InputEvaluator`
 InputEvaluator class, to evaluate Operation.Input nodes. 
@@ -43,12 +43,12 @@ InputEvaluator class, to evaluate Operation.Input nodes.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/evaluator.py#L29"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/evaluator.py#L29"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `GenericEvaluator`
 GenericEvaluator class, to evaluate Operation.Generic nodes. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/evaluator.py#L34"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/evaluator.py#L34"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -66,12 +66,12 @@ __init__(operation, properties)
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/evaluator.py#L42"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/evaluator.py#L42"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `GenericTupleEvaluator`
 GenericEvaluator class, to evaluate Operation.Generic nodes where args are packed in a tuple. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/evaluator.py#L47"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/evaluator.py#L47"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
diff --git a/docs/dev/api/concrete.fhe.representation.graph.md b/docs/dev/api/concrete.fhe.representation.graph.md
index d940c7948..7794c3d2c 100644
--- a/docs/dev/api/concrete.fhe.representation.graph.md
+++ b/docs/dev/api/concrete.fhe.representation.graph.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.representation.graph`
 Declaration of `Graph` class. 
@@ -12,12 +12,12 @@ Declaration of `Graph` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L26"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L26"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Graph`
 Graph class, to represent computation graphs. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L45"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L45"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -36,11 +36,23 @@ __init__(
 
 
 
+---
+
+#### <kbd>property</kbd> inputs_count
+
+Returns the number of inputs of the graph. 
+
+---
+
+#### <kbd>property</kbd> outputs_count
+
+Returns the number of outputs of the graph. 
+
 
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L206"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L206"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `draw`
 
@@ -74,7 +86,7 @@ That this function requires the python `pygraphviz` package which itself require
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L84"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L84"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `evaluate`
 
@@ -101,7 +113,7 @@ Perform the computation `Graph` represents and get resulting values for all node
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L345"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L345"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `format`
 
@@ -146,7 +158,7 @@ Get the textual representation of the `Graph`.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L581"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L581"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `format_bit_width_assignments`
 
@@ -163,7 +175,7 @@ Get the textual representation of bit width assignments of the graph.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L564"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L564"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `format_bit_width_constraints`
 
@@ -180,7 +192,7 @@ Get the textual representation of bit width constraints of the graph.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L917"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L918"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `integer_range`
 
@@ -215,7 +227,7 @@ Only nodes after filtering will be used to calculate the result.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L867"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L868"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `maximum_integer_bit_width`
 
@@ -253,7 +265,7 @@ Only nodes after filtering will be used to calculate the result.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L621"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L621"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `measure_bounds`
 
@@ -291,7 +303,7 @@ e.g.,
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L731"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L732"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `ordered_inputs`
 
@@ -308,7 +320,7 @@ Get the input nodes of the `Graph`, ordered by their indices.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L742"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L743"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `ordered_outputs`
 
@@ -325,7 +337,7 @@ Get the output nodes of the `Graph`, ordered by their indices.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L753"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L754"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `ordered_preds_of`
 
@@ -347,7 +359,7 @@ Get predecessors of `node`, ordered by their indices.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L772"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L773"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `prune_useless_nodes`
 
@@ -359,7 +371,7 @@ Remove unreachable nodes from the graph.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L788"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L789"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `query_nodes`
 
@@ -397,7 +409,7 @@ Filters work like so:  str -> nodes without exact match is skipped  List[str] ->
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L692"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L692"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `update_with_bounds`
 
@@ -415,7 +427,7 @@ Update `ValueDescription`s within the `Graph` according to measured bounds.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L974"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L989"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `GraphProcessor`
 GraphProcessor base class, to define the API for a graph processing pipeline. 
@@ -427,7 +439,7 @@ Process a single graph.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L981"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L996"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `apply`
 
@@ -439,7 +451,7 @@ Process the graph.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L987"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L1002"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `error`
 
@@ -459,7 +471,7 @@ Fail processing with an error.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L1012"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L1027"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `MultiGraphProcessor`
 MultiGraphProcessor base class, to define the API for a multiple graph processing pipeline. 
@@ -471,7 +483,7 @@ Processes multiple graphs at once.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L1025"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L1040"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `apply`
 
@@ -483,7 +495,7 @@ Process a single graph.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L1019"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L1034"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `apply_many`
 
@@ -495,7 +507,7 @@ Process a dictionnary of graphs.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/graph.py#L987"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/graph.py#L1002"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `error`
 
diff --git a/docs/dev/api/concrete.fhe.representation.md b/docs/dev/api/concrete.fhe.representation.md
index 32d92b74d..5103c358a 100644
--- a/docs/dev/api/concrete.fhe.representation.md
+++ b/docs/dev/api/concrete.fhe.representation.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.representation`
 Define structures used to represent computation. 
diff --git a/docs/dev/api/concrete.fhe.representation.node.md b/docs/dev/api/concrete.fhe.representation.node.md
index 1326e437a..a681f93b5 100644
--- a/docs/dev/api/concrete.fhe.representation.node.md
+++ b/docs/dev/api/concrete.fhe.representation.node.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/node.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/node.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.representation.node`
 Declaration of `Node` class. 
@@ -13,12 +13,12 @@ Declaration of `Node` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/node.py#L26"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/node.py#L26"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Node`
 Node class, to represent computation in a computation graph. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/node.py#L151"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/node.py#L151"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -74,7 +74,7 @@ Get whether the node is can be fused into a table lookup.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/node.py#L46"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/node.py#L46"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `constant`
 
@@ -101,7 +101,7 @@ Create an Operation.Constant node.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/node.py#L274"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/node.py#L280"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `format`
 
@@ -125,7 +125,7 @@ Get the textual representation of the `Node` (dependent to preds).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/node.py#L73"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/node.py#L73"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `generic`
 
@@ -167,7 +167,7 @@ Create an Operation.Generic node.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/node.py#L132"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/node.py#L132"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `input`
 
@@ -191,7 +191,7 @@ Create an Operation.Input node.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/node.py#L342"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/node.py#L382"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `label`
 
diff --git a/docs/dev/api/concrete.fhe.representation.operation.md b/docs/dev/api/concrete.fhe.representation.operation.md
index f720a6f13..53444dc11 100644
--- a/docs/dev/api/concrete.fhe.representation.operation.md
+++ b/docs/dev/api/concrete.fhe.representation.operation.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/operation.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/operation.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.representation.operation`
 Declaration of `Operation` enum. 
@@ -9,7 +9,7 @@ Declaration of `Operation` enum.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/operation.py#L8"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/operation.py#L8"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Operation`
 Operation enum, to distinguish nodes within a computation graph. 
diff --git a/docs/dev/api/concrete.fhe.representation.utils.md b/docs/dev/api/concrete.fhe.representation.utils.md
index a07807aea..b2b902110 100644
--- a/docs/dev/api/concrete.fhe.representation.utils.md
+++ b/docs/dev/api/concrete.fhe.representation.utils.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/utils.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.representation.utils`
 Declaration of various functions and constants related to representation of computation. 
@@ -13,7 +13,7 @@ Declaration of various functions and constants related to representation of comp
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/utils.py#L64"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/utils.py#L64"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `format_constant`
 
@@ -44,7 +44,7 @@ Get the textual representation of a constant.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/representation/utils.py#L107"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/representation/utils.py#L107"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `format_indexing_element`
 
diff --git a/docs/dev/api/concrete.fhe.tfhers.dtypes.md b/docs/dev/api/concrete.fhe.tfhers.dtypes.md
new file mode 100644
index 000000000..1c3519a66
--- /dev/null
+++ b/docs/dev/api/concrete.fhe.tfhers.dtypes.md
@@ -0,0 +1,98 @@
+<!-- markdownlint-disable -->
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/dtypes.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+# <kbd>module</kbd> `concrete.fhe.tfhers.dtypes`
+Declaration of `TFHERSIntegerType` class. 
+
+**Global Variables**
+---------------
+- **int8_2_2**
+- **uint8_2_2**
+- **int16_2_2**
+- **uint16_2_2**
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/dtypes.py#L13"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `TFHERSIntegerType`
+TFHERSIntegerType (Subclass of Integer) to represent tfhers integer types. 
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/dtypes.py#L21"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `__init__`
+
+```python
+__init__(is_signed: bool, bit_width: int, carry_width: int, msg_width: int)
+```
+
+
+
+
+
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/dtypes.py#L67"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `decode`
+
+```python
+decode(value: ndarray) → Union[int, ndarray]
+```
+
+Decode a tfhers-encoded integer (scalar or tensor). 
+
+
+
+**Args:**
+ 
+ - <b>`value`</b> (np.ndarray):  encoded value 
+
+
+
+**Raises:**
+ 
+ - <b>`ValueError`</b>:  bad encoding 
+
+
+
+**Returns:**
+ 
+ - <b>`Union[int, np.ndarray]`</b>:  decoded value 
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/dtypes.py#L40"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `encode`
+
+```python
+encode(value: Union[int, integer, ndarray]) → ndarray
+```
+
+Encode a scalar or tensor to tfhers integers. 
+
+
+
+**Args:**
+ 
+ - <b>`value`</b> (Union[int, np.ndarray]):  scalar or tensor of integer to encode 
+
+
+
+**Raises:**
+ 
+ - <b>`TypeError`</b>:  wrong value type 
+
+
+
+**Returns:**
+ 
+ - <b>`np.ndarray`</b>:  encoded scalar or tensor 
+
+
diff --git a/docs/dev/api/concrete.fhe.tfhers.md b/docs/dev/api/concrete.fhe.tfhers.md
new file mode 100644
index 000000000..60fe1740e
--- /dev/null
+++ b/docs/dev/api/concrete.fhe.tfhers.md
@@ -0,0 +1,14 @@
+<!-- markdownlint-disable -->
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+# <kbd>module</kbd> `concrete.fhe.tfhers`
+tfhers module to represent, and compute on tfhers integer values. 
+
+**Global Variables**
+---------------
+- **dtypes**
+- **values**
+- **tracing**
+
+
diff --git a/docs/dev/api/concrete.fhe.tfhers.tracing.md b/docs/dev/api/concrete.fhe.tfhers.tracing.md
new file mode 100644
index 000000000..a23d6d6f1
--- /dev/null
+++ b/docs/dev/api/concrete.fhe.tfhers.tracing.md
@@ -0,0 +1,69 @@
+<!-- markdownlint-disable -->
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/tracing.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+# <kbd>module</kbd> `concrete.fhe.tfhers.tracing`
+Tracing of tfhers operations. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/tracing.py#L19"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>function</kbd> `to_native`
+
+```python
+to_native(value: Union[Tracer, TFHERSInteger]) → Union[Tracer, int, ndarray]
+```
+
+Convert a tfhers integer to the Concrete representation. 
+
+
+
+**Args:**
+ 
+ - <b>`value`</b> (Union[Tracer, TFHERSInteger]):  tfhers integer 
+
+
+
+**Raises:**
+ 
+ - <b>`TypeError`</b>:  wrong input type 
+
+
+
+**Returns:**
+ 
+ - <b>`Union[Tracer, int, ndarray]`</b>:  Tracer if the input is a tracer. int or ndarray otherwise. 
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/tracing.py#L42"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>function</kbd> `from_native`
+
+```python
+from_native(
+    value: Union[Tracer, int, ndarray],
+    dtype_to: TFHERSIntegerType
+) → Union[Tracer, int, ndarray]
+```
+
+Convert a Concrete integer to the tfhers representation. 
+
+The returned value isn't wrapped in a TFHERSInteger, but should have its representation. 
+
+
+
+**Args:**
+ 
+ - <b>`value`</b> (Union[Tracer, int, ndarray]):  Concrete value to convert to tfhers 
+ - <b>`dtype_to`</b> (TFHERSIntegerType):  tfhers integer type to convert to 
+
+
+
+**Returns:**
+ Union[Tracer, int, ndarray] 
+
+
diff --git a/docs/dev/api/concrete.fhe.tfhers.values.md b/docs/dev/api/concrete.fhe.tfhers.values.md
new file mode 100644
index 000000000..ea399e063
--- /dev/null
+++ b/docs/dev/api/concrete.fhe.tfhers.values.md
@@ -0,0 +1,100 @@
+<!-- markdownlint-disable -->
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/values.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+# <kbd>module</kbd> `concrete.fhe.tfhers.values`
+Declaration of `TFHERSInteger` which wraps values as being of tfhers types. 
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/values.py#L13"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+## <kbd>class</kbd> `TFHERSInteger`
+Wrap integer values (scalar or arrays) into typed values, using tfhers types. 
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/values.py#L20"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `__init__`
+
+```python
+__init__(dtype: TFHERSIntegerType, value: Union[List, int, ndarray])
+```
+
+
+
+
+
+
+---
+
+#### <kbd>property</kbd> dtype
+
+Get the type of the wrapped value. 
+
+
+
+**Returns:**
+  TFHERSIntegerType 
+
+---
+
+#### <kbd>property</kbd> shape
+
+Get the shape of the wrapped value. 
+
+
+
+**Returns:**
+ 
+ - <b>`tuple`</b>:  shape 
+
+---
+
+#### <kbd>property</kbd> value
+
+Get the wrapped value. 
+
+
+
+**Returns:**
+  Union[int, np.ndarray] 
+
+
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/values.py#L86"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `max`
+
+```python
+max()
+```
+
+Get the maximum value that can be represented by the current type. 
+
+
+
+**Returns:**
+  int:  maximum value that can be represented by the current type 
+
+---
+
+<a href="../../frontends/concrete-python/concrete/fhe/tfhers/values.py#L76"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `min`
+
+```python
+min()
+```
+
+Get the minimum value that can be represented by the current type. 
+
+
+
+**Returns:**
+  int:  minimum value that can be represented by the current type 
+
+
diff --git a/docs/dev/api/concrete.fhe.tracing.md b/docs/dev/api/concrete.fhe.tracing.md
index f82f03566..7f1743c5a 100644
--- a/docs/dev/api/concrete.fhe.tracing.md
+++ b/docs/dev/api/concrete.fhe.tracing.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.tracing`
 Provide `function` to `computation graph` functionality. 
diff --git a/docs/dev/api/concrete.fhe.tracing.tracer.md b/docs/dev/api/concrete.fhe.tracing.tracer.md
index 5f119b2f2..3febee330 100644
--- a/docs/dev/api/concrete.fhe.tracing.tracer.md
+++ b/docs/dev/api/concrete.fhe.tracing.tracer.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.tracing.tracer`
 Declaration of `Tracer` class. 
@@ -9,12 +9,12 @@ Declaration of `Tracer` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L20"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L20"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Tracer`
 Tracer class, to create computation graphs from python functions. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L175"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L175"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -55,7 +55,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L624"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L624"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `astype`
 
@@ -69,7 +69,7 @@ Trace numpy.ndarray.astype(dtype).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L694"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L694"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clip`
 
@@ -81,7 +81,7 @@ Trace numpy.ndarray.clip().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L703"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L703"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dot`
 
@@ -93,7 +93,7 @@ Trace numpy.ndarray.dot().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L710"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L710"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `flatten`
 
@@ -105,7 +105,7 @@ Trace numpy.ndarray.flatten().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `reshape`
 
@@ -117,7 +117,7 @@ Trace numpy.ndarray.reshape(newshape).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L729"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L729"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `round`
 
@@ -129,7 +129,7 @@ Trace numpy.ndarray.round().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L195"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L195"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `sanitize`
 
@@ -151,7 +151,7 @@ Try to create a tracer from a value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L36"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L36"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `trace`
 
@@ -184,7 +184,7 @@ Trace `function` and create the `Graph` that represents it.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L736"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L736"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `transpose`
 
@@ -197,12 +197,12 @@ Trace numpy.ndarray.transpose().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L932"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L1061"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `Annotation`
 Base annotation for direct definition. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L175"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L175"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -243,7 +243,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L624"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L624"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `astype`
 
@@ -257,7 +257,7 @@ Trace numpy.ndarray.astype(dtype).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L694"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L694"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clip`
 
@@ -269,7 +269,7 @@ Trace numpy.ndarray.clip().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L703"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L703"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dot`
 
@@ -281,7 +281,7 @@ Trace numpy.ndarray.dot().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L710"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L710"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `flatten`
 
@@ -293,7 +293,7 @@ Trace numpy.ndarray.flatten().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `reshape`
 
@@ -305,7 +305,7 @@ Trace numpy.ndarray.reshape(newshape).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L729"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L729"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `round`
 
@@ -317,7 +317,7 @@ Trace numpy.ndarray.round().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L195"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L195"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `sanitize`
 
@@ -339,7 +339,7 @@ Try to create a tracer from a value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L36"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L36"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `trace`
 
@@ -372,7 +372,7 @@ Trace `function` and create the `Graph` that represents it.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L736"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L736"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `transpose`
 
@@ -385,12 +385,12 @@ Trace numpy.ndarray.transpose().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L938"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L1067"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ScalarAnnotation`
 Base scalar annotation for direct definition. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L175"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L175"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -431,7 +431,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L624"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L624"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `astype`
 
@@ -445,7 +445,7 @@ Trace numpy.ndarray.astype(dtype).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L694"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L694"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clip`
 
@@ -457,7 +457,7 @@ Trace numpy.ndarray.clip().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L703"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L703"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dot`
 
@@ -469,7 +469,7 @@ Trace numpy.ndarray.dot().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L710"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L710"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `flatten`
 
@@ -481,7 +481,7 @@ Trace numpy.ndarray.flatten().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `reshape`
 
@@ -493,7 +493,7 @@ Trace numpy.ndarray.reshape(newshape).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L729"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L729"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `round`
 
@@ -505,7 +505,7 @@ Trace numpy.ndarray.round().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L195"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L195"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `sanitize`
 
@@ -527,7 +527,7 @@ Try to create a tracer from a value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L36"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L36"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `trace`
 
@@ -560,7 +560,7 @@ Trace `function` and create the `Graph` that represents it.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L736"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L736"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `transpose`
 
@@ -573,12 +573,12 @@ Trace numpy.ndarray.transpose().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L946"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L1075"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `TensorAnnotation`
 Base tensor annotation for direct definition. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L175"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L175"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -619,7 +619,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L624"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L624"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `astype`
 
@@ -633,7 +633,7 @@ Trace numpy.ndarray.astype(dtype).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L694"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L694"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `clip`
 
@@ -645,7 +645,7 @@ Trace numpy.ndarray.clip().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L703"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L703"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dot`
 
@@ -657,7 +657,7 @@ Trace numpy.ndarray.dot().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L710"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L710"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `flatten`
 
@@ -669,7 +669,7 @@ Trace numpy.ndarray.flatten().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `reshape`
 
@@ -681,7 +681,7 @@ Trace numpy.ndarray.reshape(newshape).
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L729"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L729"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `round`
 
@@ -693,7 +693,7 @@ Trace numpy.ndarray.round().
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L195"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L195"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `sanitize`
 
@@ -715,7 +715,7 @@ Try to create a tracer from a value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L36"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L36"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `trace`
 
@@ -748,7 +748,7 @@ Trace `function` and create the `Graph` that represents it.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/tracer.py#L736"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/tracer.py#L736"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `transpose`
 
diff --git a/docs/dev/api/concrete.fhe.tracing.typing.md b/docs/dev/api/concrete.fhe.tracing.typing.md
index 3ae3c47f5..06551b51b 100644
--- a/docs/dev/api/concrete.fhe.tracing.typing.md
+++ b/docs/dev/api/concrete.fhe.tracing.typing.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.tracing.typing`
 Declaration of type annotation. 
@@ -9,7 +9,7 @@ Declaration of type annotation.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L157"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L157"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `f32`
 Scalar f32 annotation. 
@@ -44,7 +44,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L165"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L165"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `f64`
 Scalar f64 annotation. 
@@ -79,7 +79,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L173"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L173"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int1`
 Scalar int1 annotation. 
@@ -114,7 +114,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L181"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L181"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int2`
 Scalar int2 annotation. 
@@ -149,7 +149,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L189"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L189"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int3`
 Scalar int3 annotation. 
@@ -184,7 +184,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L197"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L197"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int4`
 Scalar int4 annotation. 
@@ -219,7 +219,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L205"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L205"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int5`
 Scalar int5 annotation. 
@@ -254,7 +254,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L213"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L213"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int6`
 Scalar int6 annotation. 
@@ -289,7 +289,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L221"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L221"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int7`
 Scalar int7 annotation. 
@@ -324,7 +324,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L229"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L229"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int8`
 Scalar int8 annotation. 
@@ -359,7 +359,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L237"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L237"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int9`
 Scalar int9 annotation. 
@@ -394,7 +394,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L245"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L245"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int10`
 Scalar int10 annotation. 
@@ -429,7 +429,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L253"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L253"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int11`
 Scalar int11 annotation. 
@@ -464,7 +464,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L261"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L261"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int12`
 Scalar int12 annotation. 
@@ -499,7 +499,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L269"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L269"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int13`
 Scalar int13 annotation. 
@@ -534,7 +534,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L277"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L277"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int14`
 Scalar int14 annotation. 
@@ -569,7 +569,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L285"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L285"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int15`
 Scalar int15 annotation. 
@@ -604,7 +604,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L293"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L293"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int16`
 Scalar int16 annotation. 
@@ -639,7 +639,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L301"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L301"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int17`
 Scalar int17 annotation. 
@@ -674,7 +674,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L309"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L309"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int18`
 Scalar int18 annotation. 
@@ -709,7 +709,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L317"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L317"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int19`
 Scalar int19 annotation. 
@@ -744,7 +744,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L325"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L325"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int20`
 Scalar int20 annotation. 
@@ -779,7 +779,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L333"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L333"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int21`
 Scalar int21 annotation. 
@@ -814,7 +814,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L341"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L341"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int22`
 Scalar int22 annotation. 
@@ -849,7 +849,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L349"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L349"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int23`
 Scalar int23 annotation. 
@@ -884,7 +884,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L357"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L357"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int24`
 Scalar int24 annotation. 
@@ -919,7 +919,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L365"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L365"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int25`
 Scalar int25 annotation. 
@@ -954,7 +954,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L373"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L373"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int26`
 Scalar int26 annotation. 
@@ -989,7 +989,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L381"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L381"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int27`
 Scalar int27 annotation. 
@@ -1024,7 +1024,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L389"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L389"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int28`
 Scalar int28 annotation. 
@@ -1059,7 +1059,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L397"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L397"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int29`
 Scalar int29 annotation. 
@@ -1094,7 +1094,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L405"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L405"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int30`
 Scalar int30 annotation. 
@@ -1129,7 +1129,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L413"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L413"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int31`
 Scalar int31 annotation. 
@@ -1164,7 +1164,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L421"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L421"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int32`
 Scalar int32 annotation. 
@@ -1199,7 +1199,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L429"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L429"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int33`
 Scalar int33 annotation. 
@@ -1234,7 +1234,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L437"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L437"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int34`
 Scalar int34 annotation. 
@@ -1269,7 +1269,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L445"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L445"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int35`
 Scalar int35 annotation. 
@@ -1304,7 +1304,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L453"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L453"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int36`
 Scalar int36 annotation. 
@@ -1339,7 +1339,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L461"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L461"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int37`
 Scalar int37 annotation. 
@@ -1374,7 +1374,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L469"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L469"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int38`
 Scalar int38 annotation. 
@@ -1409,7 +1409,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L477"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L477"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int39`
 Scalar int39 annotation. 
@@ -1444,7 +1444,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L485"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L485"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int40`
 Scalar int40 annotation. 
@@ -1479,7 +1479,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L493"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L493"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int41`
 Scalar int41 annotation. 
@@ -1514,7 +1514,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L501"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L501"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int42`
 Scalar int42 annotation. 
@@ -1549,7 +1549,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L509"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L509"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int43`
 Scalar int43 annotation. 
@@ -1584,7 +1584,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L517"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L517"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int44`
 Scalar int44 annotation. 
@@ -1619,7 +1619,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L525"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L525"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int45`
 Scalar int45 annotation. 
@@ -1654,7 +1654,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L533"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L533"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int46`
 Scalar int46 annotation. 
@@ -1689,7 +1689,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L541"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L541"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int47`
 Scalar int47 annotation. 
@@ -1724,7 +1724,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L549"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L549"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int48`
 Scalar int48 annotation. 
@@ -1759,7 +1759,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L557"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L557"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int49`
 Scalar int49 annotation. 
@@ -1794,7 +1794,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L565"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L565"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int50`
 Scalar int50 annotation. 
@@ -1829,7 +1829,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L573"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L573"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int51`
 Scalar int51 annotation. 
@@ -1864,7 +1864,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L581"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L581"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int52`
 Scalar int52 annotation. 
@@ -1899,7 +1899,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L589"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L589"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int53`
 Scalar int53 annotation. 
@@ -1934,7 +1934,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L597"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L597"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int54`
 Scalar int54 annotation. 
@@ -1969,7 +1969,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L605"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L605"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int55`
 Scalar int55 annotation. 
@@ -2004,7 +2004,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L613"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L613"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int56`
 Scalar int56 annotation. 
@@ -2039,7 +2039,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L621"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L621"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int57`
 Scalar int57 annotation. 
@@ -2074,7 +2074,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L629"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L629"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int58`
 Scalar int58 annotation. 
@@ -2109,7 +2109,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L637"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L637"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int59`
 Scalar int59 annotation. 
@@ -2144,7 +2144,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L645"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L645"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int60`
 Scalar int60 annotation. 
@@ -2179,7 +2179,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L653"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L653"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int61`
 Scalar int61 annotation. 
@@ -2214,7 +2214,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L661"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L661"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int62`
 Scalar int62 annotation. 
@@ -2249,7 +2249,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L669"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L669"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int63`
 Scalar int63 annotation. 
@@ -2284,7 +2284,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L677"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L677"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `int64`
 Scalar int64 annotation. 
@@ -2319,7 +2319,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L685"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L685"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint1`
 Scalar uint1 annotation. 
@@ -2354,7 +2354,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L693"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L693"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint2`
 Scalar uint2 annotation. 
@@ -2389,7 +2389,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L701"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L701"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint3`
 Scalar uint3 annotation. 
@@ -2424,7 +2424,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L709"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L709"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint4`
 Scalar uint4 annotation. 
@@ -2459,7 +2459,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L717"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint5`
 Scalar uint5 annotation. 
@@ -2494,7 +2494,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L725"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L725"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint6`
 Scalar uint6 annotation. 
@@ -2529,7 +2529,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L733"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L733"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint7`
 Scalar uint7 annotation. 
@@ -2564,7 +2564,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L741"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L741"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint8`
 Scalar uint8 annotation. 
@@ -2599,7 +2599,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L749"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L749"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint9`
 Scalar uint9 annotation. 
@@ -2634,7 +2634,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L757"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L757"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint10`
 Scalar uint10 annotation. 
@@ -2669,7 +2669,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L765"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L765"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint11`
 Scalar uint11 annotation. 
@@ -2704,7 +2704,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L773"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L773"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint12`
 Scalar uint12 annotation. 
@@ -2739,7 +2739,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L781"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L781"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint13`
 Scalar uint13 annotation. 
@@ -2774,7 +2774,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L789"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L789"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint14`
 Scalar uint14 annotation. 
@@ -2809,7 +2809,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L797"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L797"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint15`
 Scalar uint15 annotation. 
@@ -2844,7 +2844,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L805"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L805"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint16`
 Scalar uint16 annotation. 
@@ -2879,7 +2879,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L813"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L813"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint17`
 Scalar uint17 annotation. 
@@ -2914,7 +2914,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L821"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L821"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint18`
 Scalar uint18 annotation. 
@@ -2949,7 +2949,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L829"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L829"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint19`
 Scalar uint19 annotation. 
@@ -2984,7 +2984,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L837"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L837"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint20`
 Scalar uint20 annotation. 
@@ -3019,7 +3019,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L845"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L845"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint21`
 Scalar uint21 annotation. 
@@ -3054,7 +3054,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L853"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L853"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint22`
 Scalar uint22 annotation. 
@@ -3089,7 +3089,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L861"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L861"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint23`
 Scalar uint23 annotation. 
@@ -3124,7 +3124,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L869"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L869"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint24`
 Scalar uint24 annotation. 
@@ -3159,7 +3159,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L877"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L877"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint25`
 Scalar uint25 annotation. 
@@ -3194,7 +3194,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L885"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L885"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint26`
 Scalar uint26 annotation. 
@@ -3229,7 +3229,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L893"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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 ## <kbd>class</kbd> `uint27`
 Scalar uint27 annotation. 
@@ -3264,7 +3264,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L901"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L901"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint28`
 Scalar uint28 annotation. 
@@ -3299,7 +3299,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L909"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L909"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint29`
 Scalar uint29 annotation. 
@@ -3334,7 +3334,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L917"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L917"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint30`
 Scalar uint30 annotation. 
@@ -3369,7 +3369,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L925"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L925"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint31`
 Scalar uint31 annotation. 
@@ -3404,7 +3404,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L933"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L933"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint32`
 Scalar uint32 annotation. 
@@ -3439,7 +3439,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L941"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L941"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint33`
 Scalar uint33 annotation. 
@@ -3474,7 +3474,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L949"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L949"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint34`
 Scalar uint34 annotation. 
@@ -3509,7 +3509,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L957"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L957"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint35`
 Scalar uint35 annotation. 
@@ -3544,7 +3544,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L965"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L965"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint36`
 Scalar uint36 annotation. 
@@ -3579,7 +3579,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L973"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L973"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint37`
 Scalar uint37 annotation. 
@@ -3614,7 +3614,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L981"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L981"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint38`
 Scalar uint38 annotation. 
@@ -3649,7 +3649,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L989"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L989"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint39`
 Scalar uint39 annotation. 
@@ -3684,7 +3684,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L997"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L997"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint40`
 Scalar uint40 annotation. 
@@ -3719,7 +3719,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1005"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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 ## <kbd>class</kbd> `uint41`
 Scalar uint41 annotation. 
@@ -3754,7 +3754,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1013"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1013"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint42`
 Scalar uint42 annotation. 
@@ -3789,7 +3789,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1021"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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 ## <kbd>class</kbd> `uint43`
 Scalar uint43 annotation. 
@@ -3824,7 +3824,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1029"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1029"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint44`
 Scalar uint44 annotation. 
@@ -3859,7 +3859,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1037"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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 ## <kbd>class</kbd> `uint45`
 Scalar uint45 annotation. 
@@ -3894,7 +3894,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1045"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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 ## <kbd>class</kbd> `uint46`
 Scalar uint46 annotation. 
@@ -3929,7 +3929,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1053"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1053"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint47`
 Scalar uint47 annotation. 
@@ -3964,7 +3964,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1061"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1061"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint48`
 Scalar uint48 annotation. 
@@ -3999,7 +3999,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1069"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1069"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint49`
 Scalar uint49 annotation. 
@@ -4034,7 +4034,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1077"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1077"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint50`
 Scalar uint50 annotation. 
@@ -4069,7 +4069,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1085"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1085"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint51`
 Scalar uint51 annotation. 
@@ -4104,7 +4104,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1093"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1093"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint52`
 Scalar uint52 annotation. 
@@ -4139,7 +4139,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1101"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1101"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint53`
 Scalar uint53 annotation. 
@@ -4174,7 +4174,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1109"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1109"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint54`
 Scalar uint54 annotation. 
@@ -4209,7 +4209,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1117"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1117"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint55`
 Scalar uint55 annotation. 
@@ -4244,7 +4244,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1125"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1125"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint56`
 Scalar uint56 annotation. 
@@ -4279,7 +4279,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1133"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1133"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint57`
 Scalar uint57 annotation. 
@@ -4314,7 +4314,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1141"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
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 ## <kbd>class</kbd> `uint58`
 Scalar uint58 annotation. 
@@ -4349,7 +4349,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1149"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1149"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint59`
 Scalar uint59 annotation. 
@@ -4384,7 +4384,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1157"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1157"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint60`
 Scalar uint60 annotation. 
@@ -4419,7 +4419,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1165"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1165"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint61`
 Scalar uint61 annotation. 
@@ -4454,7 +4454,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1173"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1173"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint62`
 Scalar uint62 annotation. 
@@ -4489,7 +4489,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1181"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1181"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint63`
 Scalar uint63 annotation. 
@@ -4524,7 +4524,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1189"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1189"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `uint64`
 Scalar uint64 annotation. 
@@ -4559,7 +4559,7 @@ Trace numpy.ndarray.size.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/tracing/typing.py#L1197"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/tracing/typing.py#L1197"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `tensor`
 Tensor annotation. 
diff --git a/docs/dev/api/concrete.fhe.values.md b/docs/dev/api/concrete.fhe.values.md
index ca35526df..89774aabb 100644
--- a/docs/dev/api/concrete.fhe.values.md
+++ b/docs/dev/api/concrete.fhe.values.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/__init__.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.values`
 Define the available values and their semantics. 
diff --git a/docs/dev/api/concrete.fhe.values.scalar.md b/docs/dev/api/concrete.fhe.values.scalar.md
index 16627c605..f7a58a9c7 100644
--- a/docs/dev/api/concrete.fhe.values.scalar.md
+++ b/docs/dev/api/concrete.fhe.values.scalar.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/scalar.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/scalar.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.values.scalar`
 Declaration of `ClearScalar` and `EncryptedScalar` wrappers. 
@@ -8,7 +8,7 @@ Declaration of `ClearScalar` and `EncryptedScalar` wrappers.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/scalar.py#L9"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/scalar.py#L9"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `clear_scalar_builder`
 
@@ -31,7 +31,7 @@ Build a clear scalar value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/scalar.py#L9"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/scalar.py#L9"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `clear_scalar_builder`
 
@@ -54,7 +54,7 @@ Build a clear scalar value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/scalar.py#L28"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/scalar.py#L28"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `encrypted_scalar_builder`
 
@@ -77,7 +77,7 @@ Build an encrypted scalar value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/scalar.py#L28"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/scalar.py#L28"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `encrypted_scalar_builder`
 
diff --git a/docs/dev/api/concrete.fhe.values.tensor.md b/docs/dev/api/concrete.fhe.values.tensor.md
index 3e0fee849..9db6267ce 100644
--- a/docs/dev/api/concrete.fhe.values.tensor.md
+++ b/docs/dev/api/concrete.fhe.values.tensor.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/tensor.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/tensor.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.values.tensor`
 Declaration of `ClearTensor` and `EncryptedTensor` wrappers. 
@@ -8,7 +8,7 @@ Declaration of `ClearTensor` and `EncryptedTensor` wrappers.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/tensor.py#L11"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/tensor.py#L11"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `clear_tensor_builder`
 
@@ -36,7 +36,7 @@ Build a clear tensor value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/tensor.py#L11"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/tensor.py#L11"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `clear_tensor_builder`
 
@@ -64,7 +64,7 @@ Build a clear tensor value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/tensor.py#L33"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/tensor.py#L33"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `encrypted_tensor_builder`
 
@@ -92,7 +92,7 @@ Build an encrypted tensor value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/tensor.py#L33"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/tensor.py#L33"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `encrypted_tensor_builder`
 
diff --git a/docs/dev/api/concrete.fhe.values.value_description.md b/docs/dev/api/concrete.fhe.values.value_description.md
index ffc5cae88..cac729d5c 100644
--- a/docs/dev/api/concrete.fhe.values.value_description.md
+++ b/docs/dev/api/concrete.fhe.values.value_description.md
@@ -1,6 +1,6 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/value_description.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/value_description.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.values.value_description`
 Declaration of `ValueDescription` class. 
@@ -9,12 +9,12 @@ Declaration of `ValueDescription` class.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/value_description.py#L12"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/value_description.py#L12"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>class</kbd> `ValueDescription`
 ValueDescription class, to combine data type, shape, and encryption status into a single object. 
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/value_description.py#L104"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/value_description.py#L108"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `__init__`
 
@@ -75,7 +75,7 @@ Get number of elements in the value.
 
 ---
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/values/value_description.py#L21"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/values/value_description.py#L21"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `of`
 
diff --git a/docs/dev/api/concrete.fhe.version.md b/docs/dev/api/concrete.fhe.version.md
index 9bbb3e6d5..d6b4955cd 100644
--- a/docs/dev/api/concrete.fhe.version.md
+++ b/docs/dev/api/concrete.fhe.version.md
@@ -1,11 +1,9 @@
 <!-- markdownlint-disable -->
 
-<a href="../../../compilers/concrete-compiler/compiler/lib/Bindings/Python/concrete/fhe/version.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../frontends/concrete-python/concrete/fhe/version.py#L0"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 # <kbd>module</kbd> `concrete.fhe.version`
-
-
-
+Version of the project, which is updated automatically by the CI right before releasing. 
 
 
 
diff --git a/docs/get-started/compatibility.md b/docs/dev/compatibility.md
similarity index 94%
rename from docs/get-started/compatibility.md
rename to docs/dev/compatibility.md
index 8c9132aa3..cdbe58061 100644
--- a/docs/get-started/compatibility.md
+++ b/docs/dev/compatibility.md
@@ -161,17 +161,3 @@ Some operations are not supported between two encrypted values. If attempted, a
 * [np.ndarray.ndim](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.ndim.html)
 * [np.ndarray.size](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.size.html)
 * [np.ndarray.T](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.T.html)
-
-## Limitations
-
-### Control flow constraints
-
-Concrete doesn not support some control flow statements, including the `if` and `while` statement when the condition depends on an encrypted value. However, control flow statements with constant values are allowed, for example, `for i in range(SOME_CONSTANT)`, `if os.environ.get("SOME_FEATURE") == "ON":`.
-
-### Type constraints
-
-Floating-point inputs or floating-point outputs are not supported. You can have floating-point intermediate values as long as they can be converted to an integer Table Lookup, for example, `(60 * np.sin(x)).astype(np.int64)`.
-
-### Bit width constraints
-
-Bit width of encrypted values has a limit. We are constantly working on increasing the bit width limit. Exceeding this limit will trigger an error.
diff --git a/docs/explanations/FHEDialect.md b/docs/explanations/FHEDialect.md
index 4797da269..ff76c31cb 100644
--- a/docs/explanations/FHEDialect.md
+++ b/docs/explanations/FHEDialect.md
@@ -29,7 +29,7 @@ Example:
 
 Traits: AlwaysSpeculatableImplTrait
 
-Interfaces: Binary, BinaryEintInt, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)
+Interfaces: AdditiveNoise, Binary, BinaryEintInt, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)
 
 Effects: MemoryEffects::Effect{}
 
@@ -67,7 +67,7 @@ Example:
 
 Traits: AlwaysSpeculatableImplTrait
 
-Interfaces: BinaryEint, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)
+Interfaces: AdditiveNoise, BinaryEint, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)
 
 Effects: MemoryEffects::Effect{}
 
@@ -543,7 +543,7 @@ Example:
 
 Traits: AlwaysSpeculatableImplTrait
 
-Interfaces: ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface), UnaryEint
+Interfaces: AdditiveNoise, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface), UnaryEint
 
 Effects: MemoryEffects::Effect{}
 
@@ -660,7 +660,7 @@ Example:
 
 Traits: AlwaysSpeculatableImplTrait
 
-Interfaces: Binary, BinaryEintInt, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)
+Interfaces: AdditiveNoise, Binary, BinaryEintInt, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)
 
 Effects: MemoryEffects::Effect{}
 
@@ -698,7 +698,7 @@ Example:
 
 Traits: AlwaysSpeculatableImplTrait
 
-Interfaces: BinaryEint, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)
+Interfaces: AdditiveNoise, BinaryEint, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)
 
 Effects: MemoryEffects::Effect{}
 
@@ -736,7 +736,7 @@ Example:
 
 Traits: AlwaysSpeculatableImplTrait
 
-Interfaces: Binary, BinaryIntEint, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)
+Interfaces: AdditiveNoise, Binary, BinaryIntEint, ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface)
 
 Effects: MemoryEffects::Effect{}
 
@@ -870,7 +870,7 @@ Example:
 
 Traits: AlwaysSpeculatableImplTrait
 
-Interfaces: ConditionallySpeculatable, ConstantNoise, NoMemoryEffect (MemoryEffectOpInterface)
+Interfaces: ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface), ZeroNoise
 
 Effects: MemoryEffects::Effect{}
 
@@ -894,7 +894,7 @@ Example:
 
 Traits: AlwaysSpeculatableImplTrait
 
-Interfaces: ConditionallySpeculatable, ConstantNoise, NoMemoryEffect (MemoryEffectOpInterface)
+Interfaces: ConditionallySpeculatable, NoMemoryEffect (MemoryEffectOpInterface), ZeroNoise
 
 Effects: MemoryEffects::Effect{}
 
diff --git a/docs/get-started/quick_overview.md b/docs/get-started/quick_overview.md
new file mode 100644
index 000000000..03580b35e
--- /dev/null
+++ b/docs/get-started/quick_overview.md
@@ -0,0 +1,62 @@
+# Quick overview
+
+In this document, we give a quick overview of the philosophy behind Concrete.
+
+## Functions
+
+### Available FHE-friendly functions
+
+Concrete is a compiler, which aims to turn Python code into its FHE equivalent, in a process which is
+called the FHE compilation. The best efforts were made to simplify the process: in particular,
+exceptions apart, the same functions than the Python users are used to use are available. More complete
+list of available functions is given [in the reference section](../dev/compatibility.md).
+
+### Levelled vs non-levelled operations
+
+Basically, in the compiled circuit, there will be two kind of operations:
+- levelled operations, which are the additions, subtractions or multiplications by a constant; these
+operations are also called the linear operations
+- table lookup (TLU) operations, which are used to do anything which is not linear.
+
+TLU operations are essential to be able to compile complex functions. We explain their use in
+different sections of the documentation: [direct TLU use](../core-features/table_lookups.md) or
+[internal use to replace some non-linear functions](../core-features/non_linear_operations.md). We have
+tools in Concrete to replace univariate or multivariate non-linear functions (ie, functions of one
+or more inputs) by TLU.
+
+TLU are more costly that levelled operations, so we also explain how to limit their impact.
+
+Remark that matrix multiplication (aka Gemm -- General Matrix multiplication) and convolutions are
+levelled operations, since they imply only additions and multiplications by constant.
+
+### Conditional branches and loops
+
+Functions can't use conditional branches or non-constant-size loops,
+unless [modules](../compilation/composing_functions_with_modules.md) are used. However,
+control flow statements with constant values are allowed, for example,
+`for i in range(SOME_CONSTANT)`, `if os.environ.get("SOME_FEATURE") == "ON":`.
+
+## Data
+
+### Integers
+
+In Concrete, everything needs to be an integer. Users needing floats can quantize to integers before
+encryption, operate on integers and dequantize to floats after decryption: all of this is done for
+the user in Concrete ML. However, you can have floating-point intermediate values as long as they can
+be converted to an integer Table Lookup, for example, `(60 * np.sin(x)).astype(np.int64)`.
+
+### Scalars and tensors
+
+Functions can use scalar and tensors. As with Python, it is prefered to use tensorization, to make
+computations faster.
+
+### Inputs
+
+Inputs of a compiled function can be either encrypted or clear. Use of clear inputs is however
+quite limited. Remark that constants can appear in the program
+without much constraints, they are different from clear inputs which are dynamic.
+
+## Bit width constraints
+
+Bit width of encrypted values has a limit. We are constantly working on increasing the bit width limit.
+Exceeding this limit will trigger an error.
diff --git a/docs/get-started/terminology.md b/docs/get-started/terminology.md
index 2816c4eda..6e3fa97e6 100644
--- a/docs/get-started/terminology.md
+++ b/docs/get-started/terminology.md
@@ -10,3 +10,6 @@ This document provides clear definitions of key concepts used in **Concrete** fr
 
 * **Circuit:** The result of compilation. A circuit includes both client and server components. It has methods for various operations, such as printing and evaluation.
 
+* **Table Lookup (TLU):** TLU stands for instructions in the form of y = T[i]. In FHE, this operation is performed with Programmable Bootstrapping, which is the equivalent operation on encrypted values."
+
+* **Programmable Bootstrapping (PBS):** PBS is equivalent to table lookup `y = T[i]` on encrypted values, which means that the inputs `i` and the outputs `y` are encrypted, but the table `T` is not encrypted.
diff --git a/docs/guides/deploy.md b/docs/guides/deploy.md
index 7349560c6..b45e769e2 100644
--- a/docs/guides/deploy.md
+++ b/docs/guides/deploy.md
@@ -2,9 +2,24 @@
 
 After developing your circuit, you may want to deploy it. However, sharing the details of your circuit with every client might not be desirable. As well as this, you might want to perform the computation on dedicated servers. In this case, you can use the `Client` and `Server` features of **Concrete**.
 
-## Development of the circuit
+### Deployment
 
-You can develop your circuit using the techniques discussed in previous chapters. Here is a simple example:
+A typical Concrete deployment will host on a server the compilation artifact: Client specifications required by the compiled circuits and the fhe executable itself. Client will ask for the circuit requirements, generate keys accordingly, then it will send an encrypted payload and receive an encrypted result.
+
+```mermaid
+sequenceDiagram
+    Client->>Server: Client specifications?
+    Server-->>Client: Client specifications
+    Client->>Client: Private + Evaluation Keys Generation
+    Client->>Server: Encrypted(data) + Evaluation Key
+    Server->>Server: Compiled library execution
+    Server-->>Client: Encrypted(result)
+    Client->>Client: Decrypt(result)
+```
+
+## Starting from an example
+
+You can develop your circuit using the techniques discussed in previous chapters. Let's take the following example to describe deployment:
 
 <!--pytest-codeblocks:skip-->
 ```python
@@ -115,6 +130,10 @@ serialized_result: bytes = result.serialize()
 
 Then, send the serialized result back to the client. After this, the client can decrypt to receive the result of the computation.
 
+{% hint style="info" %}
+Clear arguments can directly be passed to `server.run` (e.g., `server.run(x, 10, z, evaluation_keys=...)`).
+{% endhint %}
+
 ## Decrypting the result (on the client)
 
 Once you have received the serialized result of the computation from the server, you can deserialize it:
diff --git a/docs/optimization/improve-parallelism/dataflow.md b/docs/optimization/improve-parallelism/dataflow.md
new file mode 100644
index 000000000..701d69a36
--- /dev/null
+++ b/docs/optimization/improve-parallelism/dataflow.md
@@ -0,0 +1,102 @@
+### Enabling dataflow parallelism
+
+This guide teaches what data parallelism is and how it can improve the execution time of Concrete circuits.
+
+Dataflow parallelism is a great feature, especially when the circuit is doing a lot of scalar operations.
+
+Without dataflow parallelism, circuit is executed operation by operation, like an imperative language. If the operations themselves are not tensorized, loop parallelism would not be utilized and the entire execution would happen in a single thread. Dataflow parallelism changes this by analyzing the operations and their dependencies within the circuit to determine what can be done in parallel and what cannot. Then it distributes the tasks that can be done in parallel to different threads.
+
+For example:
+
+```python
+import time
+
+import numpy as np
+from concrete import fhe
+
+def f(x, y, z):
+    # normally, you'd use fhe.array to construct a concrete tensor
+    # but for this example, we just create a simple numpy array
+    # so the matrix multiplication can happen on a cellular level
+    a = np.array([[x, y], [z, 2]])
+    b = np.array([[1, x], [z, y]])
+    return fhe.array(a @ b)
+
+inputset = fhe.inputset(fhe.uint3, fhe.uint3, fhe.uint3)
+
+for dataflow_parallelize in [False, True]:
+    compiler = fhe.Compiler(f, {"x": "encrypted", "y": "encrypted", "z": "encrypted"})
+    circuit = compiler.compile(inputset, dataflow_parallelize=dataflow_parallelize)
+
+    circuit.keygen()
+    for sample in inputset[:3]:  # warmup
+        circuit.encrypt_run_decrypt(*sample)
+
+    timings = []
+    for sample in inputset[3:13]:
+        start = time.time()
+        result = circuit.encrypt_run_decrypt(*sample)
+        end = time.time()
+
+        assert np.array_equal(result, f(*sample))
+        timings.append(end - start)
+
+    if not dataflow_parallelize:
+        print(f"without dataflow parallelize -> {np.mean(timings):.03f}s")
+    else:
+        print(f"   with dataflow parallelize -> {np.mean(timings):.03f}s")
+```
+
+prints:
+
+```
+without dataflow parallelize -> 0.609s
+   with dataflow parallelize -> 0.414s
+```
+
+and the reason for that is:
+
+```
+// this is the generated MLIR for the circuit
+// without dataflow, every single line would be executed one after the other
+
+module {
+  func.func @main(%arg0: !FHE.eint<7>, %arg1: !FHE.eint<7>, %arg2: !FHE.eint<7>) -> tensor<2x2x!FHE.eint<7>> {
+  
+    // but if you look closely, you can see that this multiplication
+    %c1_i2 = arith.constant 1 : i2
+    %0 = "FHE.mul_eint_int"(%arg0, %c1_i2) : (!FHE.eint<7>, i2) -> !FHE.eint<7>
+    
+    // is completely independent of this one, so dataflow makes them run in parallel
+    %1 = "FHE.mul_eint"(%arg1, %arg2) : (!FHE.eint<7>, !FHE.eint<7>) -> !FHE.eint<7>
+    
+    // however, this addition needs the first two operations
+    // so dataflow waits until both are done before performing this one
+    %2 = "FHE.add_eint"(%0, %1) : (!FHE.eint<7>, !FHE.eint<7>) -> !FHE.eint<7>
+    
+    // lastly, this multiplication is completely independent from the first three operations
+    // so its execution starts in parallel when execution starts with dataflow
+    %3 = "FHE.mul_eint"(%arg0, %arg0) : (!FHE.eint<7>, !FHE.eint<7>) -> !FHE.eint<7>
+    
+    // similar logic can be applied to the remaining operations...
+    %4 = "FHE.mul_eint"(%arg1, %arg1) : (!FHE.eint<7>, !FHE.eint<7>) -> !FHE.eint<7>
+    %5 = "FHE.add_eint"(%3, %4) : (!FHE.eint<7>, !FHE.eint<7>) -> !FHE.eint<7>
+    %6 = "FHE.mul_eint_int"(%arg2, %c1_i2) : (!FHE.eint<7>, i2) -> !FHE.eint<7>
+    %c2_i3 = arith.constant 2 : i3
+    %7 = "FHE.mul_eint_int"(%arg2, %c2_i3) : (!FHE.eint<7>, i3) -> !FHE.eint<7>
+    %8 = "FHE.add_eint"(%6, %7) : (!FHE.eint<7>, !FHE.eint<7>) -> !FHE.eint<7>
+    %9 = "FHE.mul_eint"(%arg2, %arg0) : (!FHE.eint<7>, !FHE.eint<7>) -> !FHE.eint<7>
+    %10 = "FHE.mul_eint_int"(%arg1, %c2_i3) : (!FHE.eint<7>, i3) -> !FHE.eint<7>
+    %11 = "FHE.add_eint"(%9, %10) : (!FHE.eint<7>, !FHE.eint<7>) -> !FHE.eint<7>
+    %from_elements = tensor.from_elements %2, %5, %8, %11 : tensor<2x2x!FHE.eint<7>>
+    return %from_elements : tensor<2x2x!FHE.eint<7>>
+    
+  }
+}
+```
+
+To summarize, dataflow analyzes the circuit to determine which parts of the circuit can be run at the same time, and tries to run as many operations as possible in parallel.
+
+{% hint style="warning" %}
+When the circuit is tensorized, dataflow might slow execution down since the tensor operations already use multiple threads and adding dataflow on top creates congestion in the CPU between the HPX (dataflow parallelism runtime) and OpenMP (loop parallelism runtime). So try both before deciding on whether to use dataflow or not.
+{% endhint %}
diff --git a/docs/optimization/improve-parallelism/self.md b/docs/optimization/improve-parallelism/self.md
new file mode 100644
index 000000000..c5a6bd4fd
--- /dev/null
+++ b/docs/optimization/improve-parallelism/self.md
@@ -0,0 +1,11 @@
+## Improve parallelism
+
+This guide teaches the different options for parallelism in Concrete and how to utilize them to improve the execution time of Concrete circuits.
+
+Modern CPUs have multiple cores to perform computation and utilizing multiple cores is a great way to boost performance.
+
+There are two kinds of parallelism in Concrete:
+- Loop parallelism to make tensor operations parallel, achieved by using [OpenMP](https://www.openmp.org/)
+- Dataflow parallelism to make independent operations parallel, achieved by using [HPX](https://hpx.stellar-group.org/)
+
+Loop parallelism is enabled by default, as it's supported on all platforms. Dataflow parallelism however is only supported on Linux, hence not enabled by default.
diff --git a/docs/optimization/improve-parallelism/tensorization.md b/docs/optimization/improve-parallelism/tensorization.md
new file mode 100644
index 000000000..9a7f9ce1e
--- /dev/null
+++ b/docs/optimization/improve-parallelism/tensorization.md
@@ -0,0 +1,55 @@
+### Tensorizing operations
+
+This guide teaches what tensorization is and how it can improve the execution time of Concrete circuits.
+
+Tensors should be used instead of scalars when possible to maximize loop parallelism.
+
+For example:
+
+```python
+import time
+
+import numpy as np
+from concrete import fhe
+
+inputset = fhe.inputset(fhe.uint6, fhe.uint6, fhe.uint6)
+for tensorize in [False, True]:
+    def f(x, y, z):
+        return (
+            np.sum(fhe.array([x, y, z]) ** 2)
+            if tensorize
+            else (x ** 2) + (y ** 2) + (z ** 2)
+        )
+
+    compiler = fhe.Compiler(f, {"x": "encrypted", "y": "encrypted", "z": "encrypted"})
+    circuit = compiler.compile(inputset)
+
+    circuit.keygen()
+    for sample in inputset[:3]:  # warmup
+        circuit.encrypt_run_decrypt(*sample)
+
+    timings = []
+    for sample in inputset[3:13]:
+        start = time.time()
+        result = circuit.encrypt_run_decrypt(*sample)
+        end = time.time()
+
+        assert np.array_equal(result, f(*sample))
+        timings.append(end - start)
+
+    if not tensorize:
+        print(f"without tensorization -> {np.mean(timings):.03f}s")
+    else:
+        print(f"   with tensorization -> {np.mean(timings):.03f}s")
+```
+
+prints:
+
+```
+without tensorization -> 0.214s
+   with tensorization -> 0.118s
+```
+
+{% hint style="info" %}
+Enabling dataflow is kind of letting the runtime do this for you. It'd also help in the specific case.
+{% endhint %}
diff --git a/docs/optimization/optimize-cryptographic-parameters/composition.md b/docs/optimization/optimize-cryptographic-parameters/composition.md
new file mode 100644
index 000000000..172ff80e8
--- /dev/null
+++ b/docs/optimization/optimize-cryptographic-parameters/composition.md
@@ -0,0 +1,65 @@
+### Specifying composition when using modules
+
+This guide explains how to optimize cryptographic parameters by specifying composition when using [modules](../../compilation/composing_functions_with_modules.md).
+
+When using [modules](../../compilation/composing_functions_with_modules.md) make sure to specify [composition](../../compilation/composing_functions_with_modules.md#optimizing-runtimes-with-composition-policies) so that the compiler can select more optimal parameters based on how the functions in the module would be used.
+
+For example:
+
+```python
+import numpy as np
+from concrete import fhe
+
+
+@fhe.module()
+class PowerWithoutComposition:
+    @fhe.function({"x": "encrypted"})
+    def square(x):
+        return x ** 2
+
+    @fhe.function({"x": "encrypted"})
+    def cube(x):
+        return x ** 3
+
+without_composition = PowerWithoutComposition.compile(
+    {
+        "square": fhe.inputset(fhe.uint2),
+        "cube": fhe.inputset(fhe.uint4),
+    }
+)
+print(f"without composition -> {int(without_composition.complexity):>10_} complexity")
+
+
+@fhe.module()
+class PowerWithComposition:
+    @fhe.function({"x": "encrypted"})
+    def square(x):
+        return x ** 2
+
+    @fhe.function({"x": "encrypted"})
+    def cube(x):
+        return x ** 3
+
+    composition = fhe.Wired(
+        [
+            fhe.Wire(fhe.Output(square, 0), fhe.Input(cube, 0))
+        ]
+    )
+
+with_composition = PowerWithComposition.compile(
+    {
+        "square": fhe.inputset(fhe.uint2),
+        "cube": fhe.inputset(fhe.uint4),
+    }
+)
+print(f"   with composition -> {int(with_composition.complexity):>10_} complexity")
+```
+
+prints:
+
+```
+without composition -> 185_863_835 complexity
+   with composition -> 135_871_612 complexity
+```
+
+which means specifying composition resulted in ~35% improvement to complexity for computing `cube(square(x))`.
diff --git a/docs/optimization/optimize-cryptographic-parameters/p-error.md b/docs/optimization/optimize-cryptographic-parameters/p-error.md
new file mode 100644
index 000000000..7f5e01465
--- /dev/null
+++ b/docs/optimization/optimize-cryptographic-parameters/p-error.md
@@ -0,0 +1,31 @@
+### Adjusting table lookup error probability
+
+This guide teaches how setting `p_error` configuration option can affect the performance of Concrete circuits.
+
+Adjusting table lookup error probability is discussed extensively in [Table lookup exactness](../../core-features/table_lookups_advanced.md#table-lookup-exactness) section. The idea is to sacrifice exactness to gain performance.
+
+For example:
+
+```python
+import numpy as np
+from concrete import fhe
+
+def f(x, y):
+    return (x // 2) * (y // 3)
+
+inputset = fhe.inputset(fhe.uint4, fhe.uint4)
+for p_error in [(1 / 1_000_000), (1 / 100_000), (1 / 10_000), (1 / 1_000), (1 / 100)]:
+    compiler = fhe.Compiler(f, {"x": "encrypted", "y": "encrypted"})
+    circuit = compiler.compile(inputset, p_error=p_error)
+    print(f"p_error of {p_error:.6f} -> {int(circuit.complexity):_} complexity")
+```
+
+prints:
+
+```
+p_error of 0.000001 -> 294_773_524 complexity
+p_error of 0.000010 -> 286_577_520 complexity
+p_error of 0.000100 -> 275_887_080 complexity
+p_error of 0.001000 -> 265_196_640 complexity
+p_error of 0.010000 -> 184_144_972 complexity
+```
diff --git a/docs/optimization/optimize-cryptographic-parameters/self.md b/docs/optimization/optimize-cryptographic-parameters/self.md
new file mode 100644
index 000000000..f19f57501
--- /dev/null
+++ b/docs/optimization/optimize-cryptographic-parameters/self.md
@@ -0,0 +1,5 @@
+## Optimize cryptographic parameters
+
+This guide teaches how to help Concrete Optimizer to select more performant parameters to improve the execution time of Concrete circuits.
+
+The idea is to obtain more optimal cryptographic parameters (especially for table lookups) without changing the operations within the circuit.
diff --git a/docs/optimization/optimize-table-lookups/approximate.md b/docs/optimization/optimize-table-lookups/approximate.md
new file mode 100644
index 000000000..bf2be5293
--- /dev/null
+++ b/docs/optimization/optimize-table-lookups/approximate.md
@@ -0,0 +1,36 @@
+### Activating approximate mode for rounding
+
+This guide teaches how to improve the execution time of Concrete circuits by using approximate mode for rounding.
+
+You can enable [approximate mode](../../core-features/rounding.md#exactness) to gain even more performance when using rounding by sacrificing some more exactness:
+
+```python
+import numpy as np
+from concrete import fhe
+
+inputset = fhe.inputset(fhe.uint10)
+for lsbs_to_remove in range(0, 10):
+    def f(x):
+        return fhe.round_bit_pattern(x, lsbs_to_remove, exactness=fhe.Exactness.APPROXIMATE) // 2
+
+    compiler = fhe.Compiler(f, {"x": "encrypted"})
+    circuit = compiler.compile(inputset)
+
+    print(f"{lsbs_to_remove=} -> {int(circuit.complexity):>13_} complexity")
+
+```
+
+prints:
+
+```
+lsbs_to_remove=0 -> 9_134_406_574 complexity
+lsbs_to_remove=1 -> 5_548_275_712 complexity
+lsbs_to_remove=2 -> 2_430_793_927 complexity
+lsbs_to_remove=3 -> 1_058_638_119 complexity
+lsbs_to_remove=4 ->   409_952_712 complexity
+lsbs_to_remove=5 ->   172_138_947 complexity
+lsbs_to_remove=6 ->    99_198_195 complexity
+lsbs_to_remove=7 ->    71_644_380 complexity
+lsbs_to_remove=8 ->    55_860_516 complexity
+lsbs_to_remove=9 ->    50_978_148 complexity
+```
diff --git a/docs/optimization/optimize-table-lookups/bit-extraction.md b/docs/optimization/optimize-table-lookups/bit-extraction.md
new file mode 100644
index 000000000..b4e4f59ac
--- /dev/null
+++ b/docs/optimization/optimize-table-lookups/bit-extraction.md
@@ -0,0 +1,38 @@
+### Utilizing bit extraction
+
+This guide teaches how to improve the execution time of Concrete circuits by using bit extraction.
+
+[Bit extraction](../../core-features/bit_extraction.md) is a cheap way to extract certain bits of encrypted values. It can be very useful for improving the performance of circuits.
+
+For example:
+
+```python
+import numpy as np
+from concrete import fhe
+
+inputset = fhe.inputset(fhe.uint6)
+for bit_extraction in [False, True]:
+    def is_even(x):
+        return (
+            x % 2 == 0
+            if not bit_extraction
+            else 1 - fhe.bits(x)[0]
+        )
+
+    compiler = fhe.Compiler(is_even, {"x": "encrypted"})
+    circuit = compiler.compile(inputset)
+
+    if not bit_extraction:
+        print(f"without bit extraction -> {int(circuit.complexity):>11_} complexity")
+    else:
+        print(f"   with bit extraction -> {int(circuit.complexity):>11_} complexity")
+```
+
+prints:
+
+```
+without bit extraction -> 230_210_706 complexity
+   with bit extraction ->  29_506_014 complexity
+```
+
+That's almost 8x improvement to circuit complexity!
diff --git a/docs/optimization/optimize-table-lookups/reducing-amount.md b/docs/optimization/optimize-table-lookups/reducing-amount.md
new file mode 100644
index 000000000..0f6eaa5d1
--- /dev/null
+++ b/docs/optimization/optimize-table-lookups/reducing-amount.md
@@ -0,0 +1,94 @@
+### Reducing the amount of table lookups
+
+This guide teaches how to improve the execution time of Concrete circuits by reducing the amount of table lookups.
+
+Reducing the amount of table lookups is probably the most complicated guide in this section as it's not automated. The idea is to use mathematical properties of operations to reduce the amount of table lookups needed to achieve the result.
+
+One great example is in adding big integers in bitmap representation. Here is the basic implementation:
+
+```python
+def add_bitmaps(x, y):
+    result = fhe.zeros((N,))
+    carry = 0
+
+    addition = x + y
+    for i in range(N):
+        addition_and_carry = addition[i] + carry
+        carry = addition_and_carry >> 1
+        result[i] = addition_and_carry % 2
+
+    return result
+```
+
+There are two table lookups within the loop body, one for `>>` and one for `%`.
+
+This implementation is not optimal though, since the same output can be achieved with just a single table lookup:
+
+```python
+def add_bitmaps(x, y):
+    result = fhe.zeros((N,))
+    carry = 0
+
+    addition = x + y
+    for i in range(N):
+        addition_and_carry = addition[i] + carry
+        carry = addition_and_carry >> 1
+        result[i] = addition_and_carry - (carry * 2)
+
+    return result
+```
+
+It was possible to do this because the original operations had a mathematical equivalence with the optimized operations and optimized operations achieved the same output with less table lookups!
+
+Here is the full code example and some numbers for this optimization:
+
+```python
+import numpy as np
+from concrete import fhe
+
+N = 32
+
+def add_bitmaps_naive(x, y):
+    result = fhe.zeros((N,))
+    carry = 0
+
+    addition = x + y
+    for i in range(N):
+        addition_and_carry = addition[i] + carry
+        carry = addition_and_carry >= 2
+        result[i] = addition_and_carry % 2
+
+    return result
+
+def add_bitmaps_optimized(x, y):
+    result = fhe.zeros((N,))
+    carry = 0
+
+    addition = x + y
+    for i in range(N):
+        addition_and_carry = addition[i] + carry
+        carry = addition_and_carry >> 1
+        result[i] = addition_and_carry - (carry * 2)
+
+    return result
+
+inputset = fhe.inputset(fhe.tensor[fhe.uint1, N], fhe.tensor[fhe.uint1, N])
+for (name, implementation) in [("naive", add_bitmaps_naive), ("optimized", add_bitmaps_optimized)]:
+    compiler = fhe.Compiler(implementation, {"x": "encrypted", "y": "encrypted"})
+    circuit = compiler.compile(inputset)
+
+    print(
+        f"{name:>9} implementation "
+        f"-> {int(circuit.programmable_bootstrap_count)} table lookups "
+        f"-> {int(circuit.complexity):_} complexity"
+    )
+```
+
+prints:
+
+```
+    naive implementation -> 63 table lookups -> 2_427_170_697 complexity
+optimized implementation -> 32 table lookups -> 1_224_206_208 complexity
+```
+
+which is almost half the amount of table lookups and ~2x less complexity for the same operation!
diff --git a/docs/optimization/optimize-table-lookups/round-truncate.md b/docs/optimization/optimize-table-lookups/round-truncate.md
new file mode 100644
index 000000000..b4f4e6805
--- /dev/null
+++ b/docs/optimization/optimize-table-lookups/round-truncate.md
@@ -0,0 +1,37 @@
+### Using round/truncate bit pattern before table lookups
+
+This guide teaches how to improve the execution time of Concrete circuits by using some special operations that reduce the bit width of the input of the table lookup.
+
+There are two extensions which can reduce the bit width of the table lookup input, [fhe.round_bit_pattern(...)](../../core-features/rounding.md) and [fhe.truncate_bit_pattern(...)](../../core-features/truncating.md), which can improve performance by sacrificing exactness.
+
+For example the following code:
+
+```python
+import numpy as np
+from concrete import fhe
+
+inputset = fhe.inputset(fhe.uint10)
+for lsbs_to_remove in range(0, 10):
+    def f(x):
+        return fhe.round_bit_pattern(x, lsbs_to_remove) // 2
+
+    compiler = fhe.Compiler(f, {"x": "encrypted"})
+    circuit = compiler.compile(inputset)
+
+    print(f"{lsbs_to_remove=} -> {int(circuit.complexity):>13_} complexity")
+```
+
+prints:
+
+```
+lsbs_to_remove=0 -> 9_134_406_574 complexity
+lsbs_to_remove=1 -> 3_209_430_092 complexity
+lsbs_to_remove=2 -> 1_536_476_735 complexity
+lsbs_to_remove=3 -> 1_588_749_586 complexity
+lsbs_to_remove=4 ->   848_133_081 complexity
+lsbs_to_remove=5 ->   525_987_801 complexity
+lsbs_to_remove=6 ->   358_276_023 complexity
+lsbs_to_remove=7 ->   373_311_341 complexity
+lsbs_to_remove=8 ->   400_596_351 complexity
+lsbs_to_remove=9 ->   438_681_996 complexity
+```
diff --git a/docs/optimization/optimize-table-lookups/self.md b/docs/optimization/optimize-table-lookups/self.md
new file mode 100644
index 000000000..3fc8bb0f6
--- /dev/null
+++ b/docs/optimization/optimize-table-lookups/self.md
@@ -0,0 +1,78 @@
+## Optimize table lookups
+
+This guide teaches how costly table lookups are, and how to optimize them to improve the execution time of Concrete circuits.
+
+The most costly operation in Concrete is the table lookup operation, so one of the primary goals of optimizing performance is to reduce the amount of table lookups.
+
+Furthermore, the bit width of the input of the table lookup plays a major role in performance.
+
+```python
+import time
+
+import numpy as np
+import matplotlib.pyplot as plt
+from concrete import fhe
+
+def f(x):
+    return x // 2
+
+bit_widths = list(range(2, 9))
+complexities = []
+timings = []
+
+for bit_width in bit_widths:
+    inputset = fhe.inputset(lambda _: np.random.randint(0, 2 ** bit_width))
+
+    compiler = fhe.Compiler(f, {"x": "encrypted"})
+    circuit = compiler.compile(inputset)
+
+    circuit.keygen()
+    for sample in inputset[:3]:  # warmup
+        circuit.encrypt_run_decrypt(*sample)
+
+    current_timings = []
+    for sample in inputset[3:13]:
+        start = time.time()
+        result = circuit.encrypt_run_decrypt(*sample)
+        end = time.time()
+
+        assert np.array_equal(result, f(*sample))
+        current_timings.append(end - start)
+
+    complexities.append(int(circuit.complexity))
+    timings.append(float(np.mean(current_timings)))
+
+    print(f"{bit_width} bits -> {complexities[-1]:>13_} complexity -> {timings[-1]:.06f}s")
+
+figure, complexity_axis = plt.subplots()
+
+color = "tab:red"
+complexity_axis.set_xlabel("bit width")
+complexity_axis.set_ylabel("complexity", color=color)
+complexity_axis.plot(bit_widths, complexities, color=color)
+complexity_axis.tick_params(axis="y", labelcolor=color)
+
+timing_axis = complexity_axis.twinx()
+
+color = 'tab:blue'
+timing_axis.set_ylabel('execution time', color=color)
+timing_axis.plot(bit_widths, timings, color=color)
+timing_axis.tick_params(axis='y', labelcolor=color)
+
+figure.tight_layout()
+plt.show()
+```
+
+The code above prints:
+```
+2 bits ->    29_944_416 complexity -> 0.019826s
+3 bits ->    42_154_798 complexity -> 0.020093s
+4 bits ->    61_979_934 complexity -> 0.021961s
+5 bits ->    99_198_195 complexity -> 0.029475s
+6 bits ->   230_210_706 complexity -> 0.062841s
+7 bits ->   535_706_740 complexity -> 0.139669s
+8 bits -> 1_217_510_420 complexity -> 0.318838s
+```
+
+And displays:
+![](../../_static/compilation/performance_tips/complexity_and_timing_per_bit_width.png)
diff --git a/docs/optimization/optimize-table-lookups/strategies.md b/docs/optimization/optimize-table-lookups/strategies.md
new file mode 100644
index 000000000..492743cf3
--- /dev/null
+++ b/docs/optimization/optimize-table-lookups/strategies.md
@@ -0,0 +1,98 @@
+### Changing the implementation strategy of complex operations
+
+This guide teaches how to improve the execution time of Concrete circuits by using different conversion strategies for complex operations.
+
+Concrete provides multiple implementation strategies for these complex operations:
+
+- [comparisons (<,<=,==,!=,>=,>)](../../core-features/comparisons.md)
+- [bitwise operations (<<,&,|,^,>>)](../../core-features/bitwise.md)
+- [minimum and maximum operations](../../core-features/minmax.md)
+- [multivariate extension](../../core-features/extensions.md#fhemultivariatefunction)
+
+{% hint style="info" %}
+The default strategy is the one that doesn't increase the input bit width, even if it's less optimal than the others. If you don't care about the input bit widths (e.g., if the inputs are only used in this operation), you should definitely change the default strategy.
+{% endhint %}
+
+Choosing the correct strategy can lead to big speedups. So if you are not sure which one to use, you can compile with different strategies and compare the complexity.
+
+For example, the following code:
+
+```python
+import numpy as np
+from concrete import fhe
+
+def f(x, y):
+    return x & y
+
+inputset = fhe.inputset(fhe.uint3, fhe.uint4)
+strategies = [
+    fhe.BitwiseStrategy.ONE_TLU_PROMOTED,
+    fhe.BitwiseStrategy.THREE_TLU_CASTED,
+    fhe.BitwiseStrategy.TWO_TLU_BIGGER_PROMOTED_SMALLER_CASTED,
+    fhe.BitwiseStrategy.TWO_TLU_BIGGER_CASTED_SMALLER_PROMOTED,
+    fhe.BitwiseStrategy.CHUNKED,
+]
+
+for strategy in strategies:
+    compiler = fhe.Compiler(f, {"x": "encrypted", "y": "encrypted"})
+    circuit = compiler.compile(inputset, bitwise_strategy_preference=strategy)
+    print(
+        f"{strategy:>55} "
+        f"-> {circuit.programmable_bootstrap_count:>2} TLUs "
+        f"-> {int(circuit.complexity):>12_} complexity"
+    )
+```
+
+prints:
+
+```
+                       BitwiseStrategy.ONE_TLU_PROMOTED ->  1 TLUs ->  535_706_740 complexity
+                       BitwiseStrategy.THREE_TLU_CASTED ->  3 TLUs ->  599_489_229 complexity
+ BitwiseStrategy.TWO_TLU_BIGGER_PROMOTED_SMALLER_CASTED ->  2 TLUs ->  522_239_955 complexity
+ BitwiseStrategy.TWO_TLU_BIGGER_CASTED_SMALLER_PROMOTED ->  2 TLUs ->  519_246_216 complexity
+                                BitwiseStrategy.CHUNKED ->  6 TLUs ->  358_905_521 complexity
+```
+
+or:
+
+```python
+import numpy as np
+from concrete import fhe
+
+def f(x, y):
+    return x == y
+
+inputset = fhe.inputset(fhe.uint4, fhe.uint7)
+strategies = [
+    fhe.ComparisonStrategy.ONE_TLU_PROMOTED,
+    fhe.ComparisonStrategy.THREE_TLU_CASTED,
+    fhe.ComparisonStrategy.TWO_TLU_BIGGER_PROMOTED_SMALLER_CASTED,
+    fhe.ComparisonStrategy.TWO_TLU_BIGGER_CASTED_SMALLER_PROMOTED,
+    fhe.ComparisonStrategy.THREE_TLU_BIGGER_CLIPPED_SMALLER_CASTED,
+    fhe.ComparisonStrategy.TWO_TLU_BIGGER_CLIPPED_SMALLER_PROMOTED,
+    fhe.ComparisonStrategy.CHUNKED,
+]
+
+for strategy in strategies:
+    compiler = fhe.Compiler(f, {"x": "encrypted", "y": "encrypted"})
+    circuit = compiler.compile(inputset, comparison_strategy_preference=strategy)
+    print(
+        f"{strategy:>58} "
+        f"-> {circuit.programmable_bootstrap_count:>2} TLUs "
+        f"-> {int(circuit.complexity):>13_} complexity"
+    )
+```
+
+prints:
+
+```
+                       ComparisonStrategy.ONE_TLU_PROMOTED ->  1 TLUs -> 1_217_510_420 complexity
+                       ComparisonStrategy.THREE_TLU_CASTED ->  3 TLUs ->   751_172_128 complexity
+ ComparisonStrategy.TWO_TLU_BIGGER_PROMOTED_SMALLER_CASTED ->  2 TLUs -> 1_043_702_103 complexity
+ ComparisonStrategy.TWO_TLU_BIGGER_CASTED_SMALLER_PROMOTED ->  2 TLUs -> 1_898_305_707 complexity
+ComparisonStrategy.THREE_TLU_BIGGER_CLIPPED_SMALLER_CASTED ->  3 TLUs ->   751_172_128 complexity
+ComparisonStrategy.TWO_TLU_BIGGER_CLIPPED_SMALLER_PROMOTED ->  2 TLUs ->   682_694_770 complexity
+                                ComparisonStrategy.CHUNKED ->  3 TLUs ->   751_172_128 complexity
+```
+
+As you can see, strategies can affect the performance a lot! So make sure to select the appropriate one for your use case if you want to optimize performance.
diff --git a/docs/optimization/self.md b/docs/optimization/self.md
new file mode 100644
index 000000000..171e935cb
--- /dev/null
+++ b/docs/optimization/self.md
@@ -0,0 +1,8 @@
+# Optimization
+
+This guide teaches how to optimize Concrete circuits extensively.
+
+It's split in 3 sections:
+- [Improve parallelism](./improve-parallelism/self.md): to show how to make circuits utilize more cores. 
+- [Optimize table lookups](./optimize-table-lookups/self.md): to show how to optimize the most expensive operation in Concrete.
+- [Optimize cryptographic parameters](./optimize-cryptographic-parameters/self.md): to show how to make Concrete select more performant parameters.
diff --git a/docs/optimization/summary.md b/docs/optimization/summary.md
new file mode 100644
index 000000000..cc7f8f723
--- /dev/null
+++ b/docs/optimization/summary.md
@@ -0,0 +1,15 @@
+# Performance
+
+This document shows some basic things you can do to improve the performance of your circuit. 
+
+Here are some quick tips to reduce the execution time of your circuit:
+
+- Reduce the amount of [table lookups](../core-features/table_lookups.md) in the circuit.
+- Try different implementation strategies for [complex operations](../core-features/non_linear_operations.md#comparisons).
+- Utilize [rounding](../core-features/rounding.md) and [truncating](../core-features/truncating.md) if your application doesn't require precise execution.
+- Use tensors as much as possible in your circuits.
+- Enable dataflow parallelization, by setting `dataflow_parallelize=True` in the [configuration](../guides/configure.md).
+- Tweak `p_error` configuration option until you get optimal exactness vs performance tradeoff for your application.
+- Specify composition when using [modules](../compilation/composing_functions_with_modules.md#optimizing-runtimes-with-composition-policies).
+
+You can refer to our full [Optimization Guide](../optimization/self.md) for detailed examples of how to do each of these, and more!
diff --git a/docs/tutorials/see-all-tutorials.md b/docs/tutorials/see-all-tutorials.md
index e5f20fd2f..cfd62260e 100644
--- a/docs/tutorials/see-all-tutorials.md
+++ b/docs/tutorials/see-all-tutorials.md
@@ -9,16 +9,18 @@
 
 #### Code examples on GitHub
 
-* [Key value database](../application-tutorial/key_value_database.ipynb)
-* [SHA-256 ](../application-tutorial/sha256.ipynb)
-* [Game of Life](../../frontends/concrete-python/examples/game_of_life/game_of_life.md)
-* [XOR distance](../../frontends/concrete-python/examples/xor_distance/xor_distance.md)
-* [SHA1 with Modules](../../frontends/concrete-python/examples/sha1/sha1.md)
+* [Floating points](../../frontends/concrete-python/examples/floating_point/floating_point.ipynb)
+* [Key value database](../../frontends/concrete-python/examples/key_value_database/key_value_database.ipynb)
+* [SHA-256 ](../../frontends/concrete-python/examples/sha256/sha256.ipynb)
+* [Game of Life](../../frontends/concrete-python/examples/game_of_life/README.md)
+* [XOR distance](../../frontends/concrete-python/examples/xor_distance/README.md)
+* [SHA1 with Modules](../../frontends/concrete-python/examples/sha1/README.md)
+* [Levenshtein distance with Modules](../../frontends/concrete-python/examples/levenshtein_distance/README.md)
 
 #### Blog tutorials
 
-* [The Encrypted Game of Life in Python Using Concrete](https://www.zama.ai/post/the-encrypted-game-of-life-using-concrete-python) - November 7, 2023
-* [Encrypted Key-value Database Using Homomorphic Encryption](https://www.zama.ai/post/encrypted-key-value-database-using-homomorphic-encryption) - March 16, 2023
+* [The Encrypted Game of Life in Python Using Concrete](https://www.zama.ai/post/the-encrypted-game-of-life-using-concrete-python) - November 2023
+* [Encrypted Key-value Database Using Homomorphic Encryption](https://www.zama.ai/post/encrypted-key-value-database-using-homomorphic-encryption) - March 2023
 
 #### Video tutorials
 
@@ -31,4 +33,4 @@
 **Zama 5-Question Developer Survey** 
 
 We want to hear from you! Take 1 minute to share your thoughts and helping us enhance our documentation and libraries. **👉** [**Click here**](https://zvajd6l0ngk.typeform.com/to/I7mXXanI) to participate.
-{% endhint %}
\ No newline at end of file
+{% endhint %}
diff --git a/frontends/concrete-python/.gitignore b/frontends/concrete-python/.gitignore
index 19a65cacc..1813eb406 100644
--- a/frontends/concrete-python/.gitignore
+++ b/frontends/concrete-python/.gitignore
@@ -141,3 +141,7 @@ dmypy.json
 
 # fhe keys
 .keys
+
+# progress tracker
+progress.json
+progress.processed.json
diff --git a/frontends/concrete-python/.ruff.toml b/frontends/concrete-python/.ruff.toml
index 2b95aca54..b520e6e7d 100644
--- a/frontends/concrete-python/.ruff.toml
+++ b/frontends/concrete-python/.ruff.toml
@@ -20,3 +20,5 @@ ignore = [
 "concrete/fhe/mlir/converter.py" = ["ARG002", "B011", "F403", "F405"]
 "examples/**" = ["PLR2004"]
 "tests/**" = ["PLR2004", "PLW0603", "SIM300", "S311"]
+"benchmarks/**" = ["S311", "B023"]
+"scripts/**" = ["DTZ005"]
diff --git a/frontends/concrete-python/Makefile b/frontends/concrete-python/Makefile
index 420e5d280..b5324c31a 100644
--- a/frontends/concrete-python/Makefile
+++ b/frontends/concrete-python/Makefile
@@ -5,6 +5,11 @@ COMPILER_BUILD_DIRECTORY ?= $(PWD)/../../compilers/concrete-compiler/compiler/bu
 BINDINGS_DIRECTORY=${COMPILER_BUILD_DIRECTORY}/tools/concretelang/python_packages/concretelang_core/
 RUNTIME_LIBRARY=${COMPILER_BUILD_DIRECTORY}/lib/libConcretelangRuntime.so
 
+CONCRETE_VERSION?="" # empty mean latest
+# E.g. to use a previous version: `make CONCRETE_VERSION="<2.7.0" venv`
+# E.g. to use a nightly: `make CONCRETE_VERSION="==2.7.0dev20240801`
+# see https://pypi.zama.ai/cpu/concrete-python/index.html for available versions
+
 .ONESHELL:
 .PHONY:
 .SILENT:
@@ -16,7 +21,9 @@ RUNTIME_LIBRARY=${COMPILER_BUILD_DIRECTORY}/lib/libConcretelangRuntime.so
 venv:
 	$(PYTHON) -m venv .venv
 	. .venv/bin/activate
-
+ifeq (,$(wildcard ${RUNTIME_LIBRARY}))
+	$(PIP) install --extra-index-url https://pypi.zama.ai/cpu "concrete-python$(CONCRETE_VERSION)"
+endif
 	$(PIP) install -r requirements.dev.txt
 	$(PIP) install -r requirements.extra-full.txt
 	$(PIP) install -r requirements.txt
@@ -26,11 +33,17 @@ venv:
 	@echo "You can have the same activation in a terminal using:"
 	@echo 'eval $$(make cp_activate)'
 
-cp_activate:
+cp_activate: silent_cp_activate
 	@echo "echo 'Activating virtual env and local concrete-python and local compiler bindings' ;"
+
+silent_cp_activate:
 	@echo "export PATH=$(PWD)/.venv/bin:$$PATH;"
+ifeq (,$(wildcard ${RUNTIME_LIBRARY}))
+	@echo "export PYTHONPATH=$(PWD);"
+else
 	@echo "export LD_PRELOAD=$(RUNTIME_LIBRARY);"
-	@echo "export PYTHONPATH=$(BINDINGS_DIRECTORY);"
+	@echo "export PYTHONPATH=${BINDINGS_DIRECTORY}:$(PWD);"
+endif
 
 licenses:
 	bash scripts/versioning/summary.sh
@@ -42,19 +55,16 @@ licenses:
 pytest: pytest-default
 
 pytest-default:
-	export LD_PRELOAD=$(RUNTIME_LIBRARY)
-	export PYTHONPATH=$(BINDINGS_DIRECTORY)
+	eval $(shell make silent_cp_activate)
 	pytest tests -svv -n auto \
 		--cov=concrete.fhe \
-		--cov-fail-under=95 \
+		--cov-fail-under=98.9 \
 		--cov-report=term-missing:skip-covered \
 		--key-cache "${KEY_CACHE_DIRECTORY}" \
 		-m "${PYTEST_MARKERS}"
 
 pytest-single:
-	export LD_PRELOAD=$(RUNTIME_LIBRARY)
-	export PYTHONPATH=$(BINDINGS_DIRECTORY)
-
+	eval $(shell make silent_cp_activate)
 	# test single precision, mono params
 	pytest tests -svv -n auto \
 		--precision=single \
@@ -63,9 +73,7 @@ pytest-single:
 		-m "${PYTEST_MARKERS}"
 
 pytest-multi:
-	export LD_PRELOAD=$(RUNTIME_LIBRARY)
-	export PYTHONPATH=$(BINDINGS_DIRECTORY)
-
+	eval $(shell make silent_cp_activate)
 	# test multi precision, multi params
 	pytest tests -svv -n auto \
 		--precision=multi \
@@ -77,9 +85,7 @@ pytest-multi:
 		-m "${PYTEST_MARKERS}"
 
 pytest-gpu:
-	export LD_PRELOAD=$(RUNTIME_LIBRARY)
-	export PYTHONPATH=$(BINDINGS_DIRECTORY)
-
+	eval $(shell make silent_cp_activate)
 	# test single precision
 	pytest tests -svv -n0 --use_gpu \
 		--key-cache "${KEY_CACHE_DIRECTORY}" \
@@ -94,18 +100,36 @@ pytest-gpu:
 		--key-cache "${KEY_CACHE_DIRECTORY}" \
 		-m "${PYTEST_MARKERS}"
 
+benchmark:
+	eval $(shell make silent_cp_activate)
+	export PROGRESS_SAMPLES=3
+	export PROGRESS_OUTPUT_INDENT=2
+
+	rm -rf progress.json
+	find ./benchmarks/ -name "*.py" | xargs python
+
+process-benchmark-results-for-grafana:
+	eval $(shell make silent_cp_activate)
+	python scripts/benchmark/postprocessor.py \
+		--source progress.json \
+		--target progress.processed.json \
+		--path_to_repository ../..
+
 # ==========
 # Formatting
 # ==========
 
 format:
+	eval $(shell make silent_cp_activate)
 	bash scripts/format/formatter.sh \
 		--dir concrete \
 		--dir examples \
 		--dir scripts \
-		--dir tests
+		--dir tests \
+		--dir benchmarks
 
 sanitize-notebooks:
+	eval $(shell make silent_cp_activate)
 	$(PYTHON) scripts/notebook/sanitizer.py docs
 
 conformance: format sanitize-notebooks
@@ -115,29 +139,37 @@ conformance: format sanitize-notebooks
 # =======
 
 check-format:
+	eval $(shell make silent_cp_activate)
 	bash scripts/format/formatter.sh --check \
 		--dir concrete \
 		--dir examples \
 		--dir scripts \
-		--dir tests
+		--dir tests \
+        --dir benchmarks
 
 check-sanitize-notebooks:
+	eval $(shell make silent_cp_activate)
 	$(PYTHON) scripts/notebook/sanitizer.py docs --check
 
 mypy:
-	mypy concrete examples scripts tests --ignore-missing-imports
+	eval $(shell make silent_cp_activate)
+	mypy concrete examples scripts tests benchmarks --ignore-missing-imports
 
 pydocstyle:
+	eval $(shell make silent_cp_activate)
 	pydocstyle concrete --convention google --add-ignore=D1,D200,D202,D212,D402 --add-select=D401
 
 pylint:
+	eval $(shell make silent_cp_activate)
 	pylint --rcfile=.pylintrc concrete
 	pylint --rcfile=.pylintrc examples --disable=C0103,C0114,C0115,C0116,E0401,R1721
 	pylint --rcfile=.pylintrc scripts
 	pylint --rcfile=.pylintrc tests --disable=C0301,W0108
+	pylint --rcfile=.pylintrc benchmarks
 
 ruff:
-	ruff concrete/ examples/ scripts/ tests/
+	eval $(shell make silent_cp_activate)
+	ruff concrete/ examples/ scripts/ tests/ benchmarks/
 
 pcc: check-format check-sanitize-notebooks mypy pydocstyle pylint ruff
 
diff --git a/frontends/concrete-python/benchmarks/primitive.py b/frontends/concrete-python/benchmarks/primitive.py
new file mode 100644
index 000000000..c5dfec54e
--- /dev/null
+++ b/frontends/concrete-python/benchmarks/primitive.py
@@ -0,0 +1,134 @@
+"""
+Benchmark primitive operations.
+"""
+
+# pylint: disable=import-error,cell-var-from-loop,redefined-outer-name
+
+import random
+
+import py_progress_tracker as progress
+
+from concrete import fhe
+
+targets = []
+configuration = fhe.Configuration()
+
+# Table Lookup
+for bit_width in range(2, 8 + 1):
+    targets.append(
+        {
+            "id": f"table-lookup :: tlu[eint{bit_width}]",
+            "name": f"{bit_width}-bit table lookup",
+            "parameters": {
+                "function": lambda x: x // 2,
+                "encryption": {"x": "encrypted"},
+                "inputset": fhe.inputset(lambda _: random.randint(0, (2**bit_width) - 1)),
+                "configuration": configuration,
+            },
+        }
+    )
+
+# Encrypted Multiplication
+for bit_width in range(2, 8 + 1):
+    targets.append(
+        {
+            "id": f"encrypted-multiplication :: eint{bit_width} * eint{bit_width}",
+            "name": f"{bit_width}-bit encrypted multiplication",
+            "parameters": {
+                "function": lambda x, y: x * y,
+                "encryption": {"x": "encrypted", "y": "encrypted"},
+                "inputset": fhe.inputset(
+                    lambda _: random.randint(0, (2**bit_width) - 1),
+                    lambda _: random.randint(0, (2**bit_width) - 1),
+                ),
+                "configuration": configuration,
+            },
+        }
+    )
+
+
+@progress.track(targets)
+def main(function, encryption, inputset, configuration):
+    """
+    Benchmark a target.
+
+    Args:
+        function:
+            function to benchmark
+
+        encryption:
+            encryption status of the arguments of the function
+
+        inputset:
+            inputset to use for compiling the function
+
+        configuration:
+            configuration to use for compilation
+    """
+
+    compiler = fhe.Compiler(function, encryption)
+
+    print("Compiling...")
+    with progress.measure(id="compilation-time-ms", label="Compilation Time (ms)"):
+        circuit = compiler.compile(inputset, configuration)
+
+    progress.measure(
+        id="complexity",
+        label="Complexity",
+        value=circuit.complexity,
+    )
+
+    print("Generating keys...")
+    with progress.measure(id="key-generation-time-ms", label="Key Generation Time (ms)"):
+        circuit.keygen(force=True)
+
+    progress.measure(
+        id="evaluation-key-size-mb",
+        label="Evaluation Key Size (MB)",
+        value=(len(circuit.keys.evaluation.serialize()) / (1024 * 1024)),
+    )
+
+    # pylint: disable=unused-variable
+
+    print("Warming up...")
+    sample = random.choice(inputset)
+    encrypted = circuit.encrypt(*sample)
+    ran = circuit.run(encrypted)
+    decrypted = circuit.decrypt(ran)  # noqa: F841
+
+    # pylint: enable=unused-variable
+
+    def calculate_input_output_size(input_output):
+        if isinstance(input_output, tuple):
+            result = sum(len(value.serialize()) for value in input_output)
+        else:
+            result = len(input_output.serialize())
+        return result / (1024 * 1024)
+
+    progress.measure(
+        id="input-ciphertext-size-mb",
+        label="Input Ciphertext Size (MB)",
+        value=calculate_input_output_size(encrypted),
+    )
+    progress.measure(
+        id="output-ciphertext-size-mb",
+        label="Output Ciphertext Size (MB)",
+        value=calculate_input_output_size(ran),
+    )
+
+    for i in range(10):
+        print(f"Running subsample {i + 1} out of 10...")
+
+        sample = random.choice(inputset)
+        with progress.measure(id="encryption-time-ms", label="Encryption Time (ms)"):
+            encrypted = circuit.encrypt(*sample)
+        with progress.measure(id="evaluation-time-ms", label="Evaluation Time (ms)"):
+            ran = circuit.run(encrypted)
+        with progress.measure(id="decryption-time-ms", label="Decryption Time (ms)"):
+            output = circuit.decrypt(ran)
+
+        progress.measure(
+            id="accuracy",
+            label="Accuracy",
+            value=int(output == function(*sample)),
+        )
diff --git a/frontends/concrete-python/concrete/fhe/__init__.py b/frontends/concrete-python/concrete/fhe/__init__.py
index 866e9dfa7..723616cb4 100644
--- a/frontends/concrete-python/concrete/fhe/__init__.py
+++ b/frontends/concrete-python/concrete/fhe/__init__.py
@@ -57,6 +57,7 @@ from .extensions import (
     one,
     ones,
     ones_like,
+    refresh,
     relu,
     round_bit_pattern,
     tag,
diff --git a/frontends/concrete-python/concrete/fhe/compilation/compiler.py b/frontends/concrete-python/concrete/fhe/compilation/compiler.py
index da0138840..17ca58360 100644
--- a/frontends/concrete-python/concrete/fhe/compilation/compiler.py
+++ b/frontends/concrete-python/concrete/fhe/compilation/compiler.py
@@ -49,6 +49,7 @@ class Compiler:
 
     configuration: Configuration
     artifacts: Optional[DebugArtifacts]
+    location: str
 
     inputset: List[Any]
     graph: Optional[Graph]
@@ -168,6 +169,9 @@ class Compiler:
 
         self._is_direct = False
         self._parameter_values = {}
+        self.location = (
+            f"{self.function.__code__.co_filename}:{self.function.__code__.co_firstlineno}"
+        )
 
     def __call__(
         self,
@@ -219,7 +223,7 @@ class Compiler:
             )
         }
 
-        self.graph = Tracer.trace(self.function, parameters)
+        self.graph = Tracer.trace(self.function, parameters, location=self.location)
         if self.artifacts is not None:
             self.artifacts.add_graph("initial", self.graph)
         fuse(
@@ -244,7 +248,9 @@ class Compiler:
         """
 
         if self._is_direct:
-            self.graph = Tracer.trace(self.function, self._parameter_values, is_direct=True)
+            self.graph = Tracer.trace(
+                self.function, self._parameter_values, is_direct=True, location=self.location
+            )
             if self.artifacts is not None:
                 self.artifacts.add_graph("initial", self.graph)  # pragma: no cover
 
diff --git a/frontends/concrete-python/concrete/fhe/compilation/module_compiler.py b/frontends/concrete-python/concrete/fhe/compilation/module_compiler.py
index de76e6b6a..0654fa81b 100644
--- a/frontends/concrete-python/concrete/fhe/compilation/module_compiler.py
+++ b/frontends/concrete-python/concrete/fhe/compilation/module_compiler.py
@@ -54,6 +54,7 @@ class FunctionDef:
     inputset: List[Any]
     graph: Optional[Graph]
     _parameter_values: Dict[str, ValueDescription]
+    location: str
 
     def __init__(
         self,
@@ -111,6 +112,9 @@ class FunctionDef:
         self.graph = None
         self.name = function.__name__
         self._parameter_values = {}
+        self.location = (
+            f"{self.function.__code__.co_filename}:{self.function.__code__.co_firstlineno}"
+        )
 
     def trace(
         self,
@@ -144,7 +148,7 @@ class FunctionDef:
             )
         }
 
-        self.graph = Tracer.trace(self.function, parameters, name=self.name)
+        self.graph = Tracer.trace(self.function, parameters, name=self.name, location=self.location)
         if artifacts is not None:
             artifacts.add_graph("initial", self.graph)
 
diff --git a/frontends/concrete-python/concrete/fhe/compilation/server.py b/frontends/concrete-python/concrete/fhe/compilation/server.py
index 5978d5182..55e68d463 100644
--- a/frontends/concrete-python/concrete/fhe/compilation/server.py
+++ b/frontends/concrete-python/concrete/fhe/compilation/server.py
@@ -8,11 +8,12 @@ import json
 import shutil
 import tempfile
 from pathlib import Path
-from typing import Dict, Iterable, List, Optional, Tuple, Union
+from typing import Dict, Iterable, List, Optional, Set, Tuple, Union
 
 # mypy: disable-error-code=attr-defined
 import concrete.compiler
 import jsonpickle
+import numpy as np
 from concrete.compiler import (
     CompilationContext,
     CompilationOptions,
@@ -23,6 +24,7 @@ from concrete.compiler import (
     ProgramCompilationFeedback,
     PublicArguments,
     ServerProgram,
+    SimulatedValueExporter,
     set_compiler_logging,
     set_llvm_debug_flag,
 )
@@ -45,6 +47,7 @@ from .configuration import (
     ParameterSelectionStrategy,
 )
 from .specs import ClientSpecs
+from .utils import friendly_type_format
 from .value import Value
 
 # pylint: enable=import-error,no-member,no-name-in-module
@@ -68,6 +71,9 @@ class Server:
     _configuration: Optional[Configuration]
     _composition_rules: Optional[List[CompositionRule]]
 
+    _clear_input_indices: Dict[str, Set[int]]
+    _clear_input_shapes: Dict[str, Dict[int, Tuple[int, ...]]]
+
     def __init__(
         self,
         client_specs: ClientSpecs,
@@ -89,6 +95,23 @@ class Server:
         self._mlir = None
         self._composition_rules = composition_rules
 
+        self._clear_input_indices = {}
+        self._clear_input_shapes = {}
+
+        functions_parameters = json.loads(client_specs.client_parameters.serialize())["circuits"]
+        for function_parameters in functions_parameters:
+            name = function_parameters["name"]
+            self._clear_input_indices[name] = {
+                index
+                for index, input_spec in enumerate(function_parameters["inputs"])
+                if "plaintext" in input_spec["typeInfo"]
+            }
+            self._clear_input_shapes[name] = {
+                index: tuple(input_spec["rawInfo"]["shape"]["dimensions"])
+                for index, input_spec in enumerate(function_parameters["inputs"])
+                if "plaintext" in input_spec["typeInfo"]
+            }
+
         assert_that(
             support.load_client_parameters(compilation_result).serialize()
             == client_specs.client_parameters.serialize()
@@ -299,7 +322,7 @@ class Server:
         shutil.make_archive(path, "zip", self._output_dir)
 
     @staticmethod
-    def load(path: Union[str, Path]) -> "Server":
+    def load(path: Union[str, Path], **kwargs) -> "Server":
         """
         Load the server from the given path in zip format.
 
@@ -307,6 +330,10 @@ class Server:
             path (Union[str, Path]):
                 path to load the server from
 
+            kwargs (Dict[str, Any]):
+                configuration options to overwrite when loading a server saved with `via_mlir`
+                if server isn't loaded via mlir, kwargs are ignored
+
         Returns:
             Server:
                 server loaded from the filesystem
@@ -343,7 +370,7 @@ class Server:
                 mlir = f.read()
 
             with open(output_dir_path / "configuration.json", "r", encoding="utf-8") as f:
-                configuration = Configuration().fork(**jsonpickle.loads(f.read()))
+                configuration = Configuration().fork(**jsonpickle.loads(f.read())).fork(**kwargs)
 
             return Server.create(
                 mlir, configuration, is_simulated, composition_rules=composition_rules
@@ -412,10 +439,32 @@ class Server:
                 raise ValueError(message)
 
             if not isinstance(arg, Value):
-                message = f"Expected argument {i} to be an fhe.Value but it's {type(arg).__name__}"
-                raise ValueError(message)
+                if i not in self._clear_input_indices[function_name]:
+                    message = (
+                        f"Expected argument {i} to be an fhe.Value "
+                        f"but it's {friendly_type_format(type(arg))}"
+                    )
+                    raise ValueError(message)
 
-            buffers.append(arg.inner)
+                # Simulated value exporter can be used here
+                # as "clear" fhe.Values have the same
+                # internal representation as "simulation" fhe.Values
+
+                exporter = SimulatedValueExporter.new(
+                    self.client_specs.client_parameters,
+                    function_name,
+                )
+
+                if isinstance(arg, (int, np.integer)):
+                    arg = exporter.export_scalar(i, arg)
+                else:
+                    arg = np.array(arg)
+                    arg = exporter.export_tensor(i, arg.flatten().tolist(), arg.shape)
+
+            if isinstance(arg, Value):
+                buffers.append(arg.inner)
+            else:
+                buffers.append(arg)
 
         public_args = PublicArguments.new(self.client_specs.client_parameters, buffers)
         server_circuit = self._server_program.get_server_circuit(function_name)
diff --git a/frontends/concrete-python/concrete/fhe/compilation/utils.py b/frontends/concrete-python/concrete/fhe/compilation/utils.py
index 2ba2c7c39..7010a8627 100644
--- a/frontends/concrete-python/concrete/fhe/compilation/utils.py
+++ b/frontends/concrete-python/concrete/fhe/compilation/utils.py
@@ -82,10 +82,16 @@ def validate_input_args(
     Returns:
         List[Optional[Union[int, np.ndarray]]]: ordered validated args
     """
+
     functions_parameters = json.loads(client_specs.client_parameters.serialize())["circuits"]
-    client_parameters_json = next(
-        filter(lambda x: x["name"] == function_name, functions_parameters)
-    )
+    for function_parameters in functions_parameters:
+        if function_parameters["name"] == function_name:
+            client_parameters_json = function_parameters
+            break
+    else:
+        message = f"Function `{function_name}` is not in the module"
+        raise ValueError(message)
+
     assert "inputs" in client_parameters_json
     input_specs = client_parameters_json["inputs"]
     if len(args) != len(input_specs):
diff --git a/frontends/concrete-python/concrete/fhe/extensions/__init__.py b/frontends/concrete-python/concrete/fhe/extensions/__init__.py
index 825074896..e6437e1c4 100644
--- a/frontends/concrete-python/concrete/fhe/extensions/__init__.py
+++ b/frontends/concrete-python/concrete/fhe/extensions/__init__.py
@@ -8,7 +8,7 @@ from .array import array
 from .bits import bits
 from .convolution import conv
 from .hint import hint
-from .identity import identity
+from .identity import identity, refresh
 from .maxpool import maxpool
 from .multivariate import multivariate
 from .ones import one, ones, ones_like
diff --git a/frontends/concrete-python/concrete/fhe/extensions/identity.py b/frontends/concrete-python/concrete/fhe/extensions/identity.py
index ab13fc7db..cd2eca82b 100644
--- a/frontends/concrete-python/concrete/fhe/extensions/identity.py
+++ b/frontends/concrete-python/concrete/fhe/extensions/identity.py
@@ -35,3 +35,33 @@ def identity(x: Union[Tracer, Any]) -> Union[Tracer, Any]:
         lambda x: deepcopy(x),  # pylint: disable=unnecessary-lambda
     )
     return Tracer(computation, [x])
+
+
+def refresh(x: Union[Tracer, Any]) -> Union[Tracer, Any]:
+    """
+    Refresh x.
+
+    Refresh encryption noise, the output noise is usually smaller compared to the input noise.
+    Bit-width of the input and the output can be different.
+
+    Args:
+        x (Union[Tracer, Any]):
+            input to identity
+
+    Returns:
+        Union[Tracer, Any]:
+            identity tracer if called with a tracer
+            deepcopy of the input otherwise
+    """
+
+    if not isinstance(x, Tracer):
+        return deepcopy(x)
+
+    computation = Node.generic(
+        "identity",
+        [deepcopy(x.output)],
+        x.output,
+        lambda x, **_kwargs: deepcopy(x),
+        kwargs={"force_noise_refresh": True},
+    )
+    return Tracer(computation, [x])
diff --git a/frontends/concrete-python/concrete/fhe/mlir/context.py b/frontends/concrete-python/concrete/fhe/mlir/context.py
index 0f9b90f1c..9b058dc0c 100644
--- a/frontends/concrete-python/concrete/fhe/mlir/context.py
+++ b/frontends/concrete-python/concrete/fhe/mlir/context.py
@@ -2507,9 +2507,6 @@ class Context:
 
             assert lsb is not None
             bit_value = self.to_signedness(lsb, of=resulting_type)
-            bit_value = self.reinterpret(
-                bit_value, bit_width=max(resulting_type.bit_width, max_bit)
-            )
 
             delta_precision = position - actual_position
             assert actual_position < 0 or 0 <= delta_precision < resulting_type.bit_width, (
@@ -2518,6 +2515,9 @@ class Context:
                 resulting_type.bit_width,
             )
             if delta_precision:
+                bit_value = self.reinterpret(
+                    bit_value, bit_width=max(resulting_type.bit_width, max_bit)
+                )
                 bit_value = self.shift_left_at_constant_precision(bit_value, delta_precision)
 
             bit_value = self.reinterpret(bit_value, bit_width=resulting_type.bit_width)
@@ -2540,7 +2540,9 @@ class Context:
     ) -> Conversion:
         return self.comparison(resulting_type, x, y, accept={Comparison.GREATER, Comparison.EQUAL})
 
-    def identity(self, resulting_type: ConversionType, x: Conversion) -> Conversion:
+    def identity(
+        self, resulting_type: ConversionType, x: Conversion, force_noise_refresh: bool
+    ) -> Conversion:
         assert (
             x.is_encrypted
             and resulting_type.is_encrypted
@@ -2548,7 +2550,7 @@ class Context:
             and x.is_signed == resulting_type.is_signed
         )
 
-        if resulting_type.bit_width == x.bit_width:
+        if resulting_type.bit_width == x.bit_width and not force_noise_refresh:
             return x
 
         result = self.extract_bits(
@@ -3776,7 +3778,12 @@ class Context:
                 result = self.add(resulting_type, result, constant)
             return result
 
-        table += [0] * ((2**on.bit_width) - len(table))
+        padding = [0] * ((2**on.bit_width) - len(table))
+        if padding:
+            if on.is_unsigned:
+                table += padding
+            else:
+                table = table[: len(table) // 2] + padding + table[-len(table) // 2 :]
 
         dialect = fhe if on.is_scalar else fhelinalg
         operation = dialect.ApplyLookupTableEintOp
diff --git a/frontends/concrete-python/concrete/fhe/mlir/converter.py b/frontends/concrete-python/concrete/fhe/mlir/converter.py
index 42dea77e3..ad4fe2240 100644
--- a/frontends/concrete-python/concrete/fhe/mlir/converter.py
+++ b/frontends/concrete-python/concrete/fhe/mlir/converter.py
@@ -78,34 +78,45 @@ class Converter:
 
                     input_types = [ctx.typeof(node).mlir for node in graph.ordered_inputs()]
 
-                    @func.FuncOp.from_py_func(*input_types, name=name)
-                    def main(*args):
-                        for index, node in enumerate(graph.ordered_inputs()):
-                            conversion = Conversion(node, args[index])
-                            if "original_bit_width" in node.properties:
-                                conversion.set_original_bit_width(
-                                    node.properties["original_bit_width"]
+                    location = graph.location.split(":")
+                    with MlirLocation.file(
+                        location[0], line=int(location[1]), col=0, context=context
+                    ):
+
+                        @func.FuncOp.from_py_func(*input_types, name=name)
+                        def main(*args):
+                            for index, node in enumerate(graph.ordered_inputs()):
+                                conversion = Conversion(node, args[index])
+                                if "original_bit_width" in node.properties:
+                                    conversion.set_original_bit_width(
+                                        node.properties["original_bit_width"]
+                                    )
+                                ctx.conversions[node] = conversion
+
+                            ordered_nodes = [
+                                node
+                                for node in nx.lexicographical_topological_sort(graph.graph)
+                                if node.operation != Operation.Input
+                            ]
+
+                            for progress_index, node in enumerate(ordered_nodes):
+                                self.trace_progress(
+                                    self.configuration, progress_index, ordered_nodes
                                 )
-                            ctx.conversions[node] = conversion
+                                preds = [
+                                    ctx.conversions[pred] for pred in graph.ordered_preds_of(node)
+                                ]
+                                self.node(ctx, node, preds)
+                            self.trace_progress(
+                                self.configuration, len(ordered_nodes), ordered_nodes
+                            )
 
-                        ordered_nodes = [
-                            node
-                            for node in nx.lexicographical_topological_sort(graph.graph)
-                            if node.operation != Operation.Input
-                        ]
+                            outputs = []
+                            for node in graph.ordered_outputs():
+                                assert node in ctx.conversions
+                                outputs.append(ctx.conversions[node].result)
 
-                        for progress_index, node in enumerate(ordered_nodes):
-                            self.trace_progress(self.configuration, progress_index, ordered_nodes)
-                            preds = [ctx.conversions[pred] for pred in graph.ordered_preds_of(node)]
-                            self.node(ctx, node, preds)
-                        self.trace_progress(self.configuration, len(ordered_nodes), ordered_nodes)
-
-                        outputs = []
-                        for node in graph.ordered_outputs():
-                            assert node in ctx.conversions
-                            outputs.append(ctx.conversions[node].result)
-
-                        return tuple(outputs)
+                            return tuple(outputs)
 
         return module
 
@@ -434,7 +445,8 @@ class Converter:
 
     def identity(self, ctx: Context, node: Node, preds: List[Conversion]) -> Conversion:
         assert len(preds) == 1
-        return ctx.identity(ctx.typeof(node), preds[0])
+        force_noise_refresh = node.properties["kwargs"].get("force_noise_refresh", False)
+        return ctx.identity(ctx.typeof(node), preds[0], force_noise_refresh)
 
     def index_dynamic(self, ctx: Context, node: Node, preds: List[Conversion]) -> Conversion:
         assert len(preds) >= 2
diff --git a/frontends/concrete-python/concrete/fhe/representation/graph.py b/frontends/concrete-python/concrete/fhe/representation/graph.py
index 5ba9c8ce9..1a501f39b 100644
--- a/frontends/concrete-python/concrete/fhe/representation/graph.py
+++ b/frontends/concrete-python/concrete/fhe/representation/graph.py
@@ -42,6 +42,8 @@ class Graph:
 
     name: str
 
+    location: str
+
     def __init__(
         self,
         graph: nx.MultiDiGraph,
@@ -49,6 +51,7 @@ class Graph:
         output_nodes: Dict[int, Node],
         is_direct: bool = False,
         name: str = "main",
+        location: str = "",
     ):
         self.graph = graph
 
@@ -63,6 +66,7 @@ class Graph:
         self.bit_width_constraints = None
 
         self.name = name
+        self.location = location
 
         self.prune_useless_nodes()
 
@@ -209,7 +213,7 @@ class Graph:
         horizontal: bool = False,
         save_to: Optional[Union[Path, str]] = None,
         show: bool = False,
-    ) -> Path:
+    ) -> Path:  # pragma: no cover
         """
         Draw the graph.
 
diff --git a/frontends/concrete-python/concrete/fhe/tracing/tracer.py b/frontends/concrete-python/concrete/fhe/tracing/tracer.py
index 0cd805304..4907ae977 100644
--- a/frontends/concrete-python/concrete/fhe/tracing/tracer.py
+++ b/frontends/concrete-python/concrete/fhe/tracing/tracer.py
@@ -39,6 +39,7 @@ class Tracer:
         parameters: Dict[str, ValueDescription],
         is_direct: bool = False,
         name: str = "main",
+        location: str = "",
     ) -> Graph:
         """
         Trace `function` and create the `Graph` that represents it.
@@ -168,7 +169,7 @@ class Tracer:
             output_idx: tracer.computation for output_idx, tracer in enumerate(output_tracers)
         }
 
-        return Graph(graph, input_nodes, output_nodes, is_direct, name)
+        return Graph(graph, input_nodes, output_nodes, is_direct, name, location=location)
 
         # pylint: enable=too-many-statements
 
diff --git a/frontends/concrete-python/examples/floating_point/floating_point.ipynb b/frontends/concrete-python/examples/floating_point/floating_point.ipynb
new file mode 100644
index 000000000..7b1332228
--- /dev/null
+++ b/frontends/concrete-python/examples/floating_point/floating_point.ipynb
@@ -0,0 +1,613 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "13fd4510-107e-4eb4-b3af-c91da321c3bd",
+   "metadata": {},
+   "source": [
+    "# Floating point management in Concrete"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de110128-c4cc-42a3-a19e-aaba6bc9008d",
+   "metadata": {},
+   "source": [
+    "In this tutorial, we are going to explain how to manage circuits with floating points. \n",
+    "\n",
+    "As we explain in the documentation, TFHE operations are limited to integers. However, it is most of the time not a limit, since it is possible to turn floating-point operations into integer operations. This is what we are going to study in this tutorial."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "0a8b3dc3-1629-4647-9a29-d757313162b9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import concrete.fhe as fhe\n",
+    "from time import time\n",
+    "\n",
+    "from numpy.random import randint\n",
+    "from numpy.random import rand\n",
+    "from numpy import round"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf3b2a7d-6b7e-4c05-b54f-c23c2bdffccb",
+   "metadata": {},
+   "source": [
+    "## Starting with an integer circuit"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6b146f03-2b38-4aa7-a0b3-7cd640c44b88",
+   "metadata": {},
+   "source": [
+    "Let's start with a very simple circuit, directly on integers. We'll take an example inspired by the README example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "8af17025-e184-4238-b579-a68a454cd5a7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Compilation and test look good, with FHE execution time of about 0.00 seconds per inference\n"
+     ]
+    }
+   ],
+   "source": [
+    "nb_bits = 4\n",
+    "length_inputset = 100\n",
+    "nb_test_samples = 16\n",
+    "\n",
+    "@fhe.compiler({\"x\": \"encrypted\", \"y\": \"encrypted\"})\n",
+    "def add_integers(x, y):\n",
+    "    return x + y\n",
+    "\n",
+    "# Compile\n",
+    "inputset = [(randint(2**nb_bits), randint(2**nb_bits)) for _ in range(length_inputset)]\n",
+    "circuit = add_integers.compile(inputset)\n",
+    "\n",
+    "# Check\n",
+    "time_begin = time()\n",
+    "\n",
+    "for _ in range(nb_test_samples):\n",
+    "    random_sample = (randint(2**nb_bits), randint(2**nb_bits))\n",
+    "    assert circuit.encrypt_run_decrypt(*random_sample) == add_integers(*random_sample)\n",
+    "    \n",
+    "print(f\"Compilation and test look good, with FHE execution time of about {(time() - time_begin) / nb_test_samples:.2f} seconds per inference\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b798da0d-2f5e-469c-b263-4ad4b9b8949a",
+   "metadata": {},
+   "source": [
+    "Here, we have defined a function `add_integers`, which takes 2 encrypted inputs and add them. We have compiled this function using an inputset of random inputs of `nb_bits = 4` bits. At the end, we check the FHE execution, by comparing `encrypt_run_decrypt` execution (which conveniently pack encryption, FHE run and decryption together, for testing purposes) and the clear execution `add_integers(*random_sample)`. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3eec2673-500a-4eff-8efb-8e1f63294881",
+   "metadata": {},
+   "source": [
+    "Let's even see the MLIR circuit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "13708d3e-edc6-4235-8838-72e4fbaae5d3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "module {\n",
+      "  func.func @main(%arg0: !FHE.eint<5>, %arg1: !FHE.eint<5>) -> !FHE.eint<5> {\n",
+      "    %0 = \"FHE.add_eint\"(%arg0, %arg1) : (!FHE.eint<5>, !FHE.eint<5>) -> !FHE.eint<5>\n",
+      "    return %0 : !FHE.eint<5>\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(circuit.mlir)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff805dec-57b4-422e-b35a-e05529148bf8",
+   "metadata": {},
+   "source": [
+    "Here we see that inputs and outputs are considered as 5b integers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1f62fa64-d0ca-4d48-8f66-fa6797d6611e",
+   "metadata": {},
+   "source": [
+    "## Trying to use it with floats"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f28fa70f-b41a-4617-b68e-8248995e87d8",
+   "metadata": {},
+   "source": [
+    "Now, let's try to use this circuit with floats. As you can imagine, it's not going to work."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "ab241720-ac18-4147-b99f-ae905c4eeec8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Expected argument 0 to be EncryptedScalar<uint5> but it's EncryptedScalar<float64>\n"
+     ]
+    }
+   ],
+   "source": [
+    "random_sample = (1.5, 2.42)\n",
+    "try:\n",
+    "    circuit.encrypt_run_decrypt(*random_sample)\n",
+    "except Exception as err:\n",
+    "    print(err)\n",
+    "    pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da4ba411-5f0c-41bd-ad47-283ed797f4ef",
+   "metadata": {},
+   "source": [
+    "It raises an error `ValueError: Expected argument 0 to be EncryptedScalar<uint5> but it's EncryptedScalar<float64>`. Let's see now how to deal with this situation."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5c19943d-ec4c-4630-b19a-de16c4c1811e",
+   "metadata": {},
+   "source": [
+    "## Creating a circuit for floats"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30310f38-4a14-4f10-8ad0-cc828b124fb2",
+   "metadata": {},
+   "source": [
+    "What we are going to do is:\n",
+    "- chose a scaling factor\n",
+    "- multiply floats by this scaling factor\n",
+    "- round to integer\n",
+    "- encrypt\n",
+    "- make FHE computations over integers, classically\n",
+    "- decrypt the result\n",
+    "- unscale\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9c61142-a047-4c46-a91a-441640be9538",
+   "metadata": {},
+   "source": [
+    "scaling_factor = 100"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "26239c84-882a-4b43-b5f1-8adca56313e5",
+   "metadata": {},
+   "source": [
+    "Here, we chose a scaling factor which is a power of 10, to be easier to read, but it could be anything, including a float value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "c357758a-d380-4e43-95fc-9b07b3fec61e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Showing an example\n",
+      "random_sample=(1.583812144515164, 0.38770109380525164)\n",
+      "scaled_sample=(158, 39)\n",
+      "scaled_result=197\n",
+      "\n",
+      "FHE:   1.97\n",
+      "clear: 1.9715132383204157\n",
+      "bounded error: 0.02\n",
+      "\n",
+      "Compilation and test look good, with FHE execution time of about 0.00 seconds per inference\n"
+     ]
+    }
+   ],
+   "source": [
+    "max_value_for_floats = 2.5\n",
+    "scaling_factor = 100\n",
+    "\n",
+    "@fhe.compiler({\"x\": \"encrypted\", \"y\": \"encrypted\"})\n",
+    "def add_integers(x, y):\n",
+    "    return x + y\n",
+    "\n",
+    "def are_almost_the_same(a, b, threshold):\n",
+    "    abs_diff = abs(b - a)\n",
+    "    assert abs_diff <= threshold, f\"Too far {a=} {b=} {abs_diff=} > {threshold=}\"\n",
+    "\n",
+    "# Compile\n",
+    "inputset = [(round(scaling_factor * rand() * max_value_for_floats).astype(np.uint32), round(scaling_factor * rand() * max_value_for_floats).astype(np.uint32)) for _ in range(length_inputset)]\n",
+    "circuit = add_integers.compile(inputset)\n",
+    "\n",
+    "# Check\n",
+    "verbose = True\n",
+    "time_begin = time()\n",
+    "\n",
+    "for _ in range(nb_test_samples):\n",
+    "    # Take a random float input\n",
+    "    random_sample = (rand() * max_value_for_floats, rand() * max_value_for_floats)\n",
+    "    if verbose:\n",
+    "        print(\"Showing an example\")\n",
+    "        print(f\"{random_sample=}\")\n",
+    "    \n",
+    "    # Scale it and round\n",
+    "    scaled_sample = (round(random_sample[0] * scaling_factor).astype(np.uint32), round(random_sample[1] * scaling_factor).astype(np.uint32))\n",
+    "    if verbose:\n",
+    "        print(f\"{scaled_sample=}\")\n",
+    "    \n",
+    "    # Encrypt\n",
+    "    encrypted_scaled_sample = circuit.encrypt(*scaled_sample)\n",
+    "    \n",
+    "    # Computations in FHE\n",
+    "    encrypted_scaled_result = circuit.run(*encrypted_scaled_sample)\n",
+    "    \n",
+    "    # Decrypt\n",
+    "    scaled_result = circuit.decrypt(encrypted_scaled_result)\n",
+    "    if verbose:\n",
+    "        print(f\"{scaled_result=}\")\n",
+    "    \n",
+    "    # Unscale\n",
+    "    result = scaled_result * 1. / scaling_factor\n",
+    "\n",
+    "    bounded_error = 2. / scaling_factor\n",
+    "    clear_result = random_sample[0] + random_sample[1]\n",
+    "    \n",
+    "    if verbose:\n",
+    "        print()\n",
+    "        print(f\"FHE:   {result}\")\n",
+    "        print(f\"clear: {clear_result}\")\n",
+    "        print(f\"bounded error: {bounded_error}\")\n",
+    "\n",
+    "    are_almost_the_same(result, clear_result, bounded_error)\n",
+    "\n",
+    "    verbose = False\n",
+    "    \n",
+    "print(f\"\\nCompilation and test look good, with FHE execution time of about {(time() - time_begin) / nb_test_samples:.2f} seconds per inference\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "68c26f6b-20bb-40e5-a343-9f4892c7d86b",
+   "metadata": {},
+   "source": [
+    "Here, our testing loop checks that the results are the expected ones, with a tolerance error of `bounded_error = 2. / scaling_factor`. We also see one example: \n",
+    "- random_sample is a pair of floats\n",
+    "- scaled_sample is this same pair multiplied by the scaling factor and rounded to integers\n",
+    "- scaled_result is the result of the FHE computation, over integers\n",
+    "- at the end, we see the FHE result and the clear result. They are close but not the same, due to rounding errors.\n",
+    "\n",
+    "To have more precise computations, one needs to take a larger scaling factor. However, keep in mind it has impact on performances, since integers will be larger. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "9ef68e15-8eb8-41ed-924c-a767ef8fbee8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "module {\n",
+      "  func.func @main(%arg0: !FHE.eint<9>, %arg1: !FHE.eint<9>) -> !FHE.eint<9> {\n",
+      "    %0 = \"FHE.add_eint\"(%arg0, %arg1) : (!FHE.eint<9>, !FHE.eint<9>) -> !FHE.eint<9>\n",
+      "    return %0 : !FHE.eint<9>\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(circuit.mlir)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87123b2e-ae99-444c-bf19-95a292536342",
+   "metadata": {},
+   "source": [
+    "Here, we see that our integers in the circuits have 9 bits, which corresponds to code integers which are smaller than `max_value_for_floats * scaling_factor = 250` plus 1 for the addition carry. Taking `scaling_factor = 1000` for example would give more precise results (`bounded_error` reduces from 0.02 to 0.0002) but now the circuits would have integers of 13 bits. \n",
+    "\n",
+    "As our circuits doesn't have programmable bootstrapping (PBS), it doesn't have a big impact, but if we had non linear operations (as we have in the following), the timing impact will be much more important.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d3502aef-767b-4f96-b465-771763c1b4ea",
+   "metadata": {},
+   "source": [
+    "## More complex case with Programmable Bootstrapping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7f6e053-bc1a-45d3-aa15-9bbd63ae382a",
+   "metadata": {},
+   "source": [
+    "Let's do the same for computing the norm of a vector. Here, we'll have a square root so some PBS."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "db901dcb-412c-4b52-8c1e-3d41782bc650",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Maximal bitwidth in the circuit: 10\n",
+      "\n",
+      "Showing an example\n",
+      "random_sample=(0.6597925446542308, 2.2648103856817494)\n",
+      "scaled_sample=(5, 18)\n",
+      "scaled_result=19\n",
+      "\n",
+      "FHE:   2.375\n",
+      "clear: 2.358960000736176\n",
+      "bounded error: 0.25\n",
+      "\n",
+      "Compilation and test look good, with FHE execution time of about 11.16 seconds per inference\n"
+     ]
+    }
+   ],
+   "source": [
+    "max_value_for_floats = 2.5\n",
+    "scaling_factor = 8\n",
+    "nb_test_samples = 10\n",
+    "\n",
+    "@fhe.compiler({\"x\": \"encrypted\", \"y\": \"encrypted\"})\n",
+    "def norm(x, y):\n",
+    "    return np.round(fhe.univariate(lambda x: np.sqrt(x))(x**2 + y**2)).astype(np.int64)\n",
+    "\n",
+    "# Compile\n",
+    "inputset = [(round(scaling_factor * rand() * max_value_for_floats).astype(np.uint32), round(scaling_factor * rand() * max_value_for_floats).astype(np.uint32)) for _ in range(length_inputset)]\n",
+    "circuit = norm.compile(inputset, show_mlir=False)\n",
+    "\n",
+    "print(f\"Maximal bitwidth in the circuit: {circuit.graph.maximum_integer_bit_width()}\\n\")\n",
+    "\n",
+    "# Check\n",
+    "verbose = True\n",
+    "time_begin = time()\n",
+    "\n",
+    "for _ in range(nb_test_samples):\n",
+    "    # Take a random float input\n",
+    "    random_sample = (rand() * max_value_for_floats, rand() * max_value_for_floats)\n",
+    "    if verbose:\n",
+    "        print(\"Showing an example\")\n",
+    "        print(f\"{random_sample=}\")\n",
+    "    \n",
+    "    # Scale it and round\n",
+    "    scaled_sample = (round(random_sample[0] * scaling_factor).astype(np.uint32), round(random_sample[1] * scaling_factor).astype(np.uint32))\n",
+    "    if verbose:\n",
+    "        print(f\"{scaled_sample=}\")\n",
+    "    \n",
+    "    # Encrypt\n",
+    "    encrypted_scaled_sample = circuit.encrypt(*scaled_sample)\n",
+    "    \n",
+    "    # Computations in FHE\n",
+    "    encrypted_scaled_result = circuit.run(*encrypted_scaled_sample)\n",
+    "    \n",
+    "    # Decrypt\n",
+    "    scaled_result = circuit.decrypt(encrypted_scaled_result)\n",
+    "    if verbose:\n",
+    "        print(f\"{scaled_result=}\")\n",
+    "    \n",
+    "    # Unscale\n",
+    "    result = scaled_result * 1. / scaling_factor\n",
+    "\n",
+    "    bounded_error = 2. / scaling_factor\n",
+    "    clear_result = np.sqrt(random_sample[0]**2 + random_sample[1]**2)\n",
+    "    \n",
+    "    if verbose:\n",
+    "        print()\n",
+    "        print(f\"FHE:   {result}\")\n",
+    "        print(f\"clear: {clear_result}\")\n",
+    "        print(f\"bounded error: {bounded_error}\")\n",
+    "\n",
+    "    are_almost_the_same(result, clear_result, bounded_error)\n",
+    "\n",
+    "    verbose = False\n",
+    "    \n",
+    "print(f\"\\nCompilation and test look good, with FHE execution time of about {(time() - time_begin) / nb_test_samples:.2f} seconds per inference\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "560956ce-8791-4dd8-b7c0-c9c489f22063",
+   "metadata": {},
+   "source": [
+    "We can remark that here, the function is much slower, since it includes PBS. Furthermore, the input of the PBS is as large as twice the square of typical inputs, which can quickly become large. That's why we have had to reduce the scaling factor and the precision. When more precision is needed, one would have to be a bit more patient."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "85995459-8036-4b18-92f0-261d524b1a6e",
+   "metadata": {},
+   "source": [
+    "## Final example"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "afc5c7eb-db95-49c7-accc-5897e53db414",
+   "metadata": {},
+   "source": [
+    "We finish with a more complex example, where one needs to understand what kind of computations are done and cancel some scaling factors during the computation, to ensure correct computations.\n",
+    "\n",
+    "Let's suppose we want to convert `f(x, y) = (x**2 + 4y) / 1.33` to FHE. What we'll do is that, we'll scale `x` and `y` with a scaling factor `scaling_factor`, before encryption. Then, in `x**2`, scaling factors will multiply (so we'll have a scaling factor of `scaling_factor**2`) while in `4y` scaling factor would remain as `scaling_factor`. To keep the addition homogeneous, we have two possibilities:\n",
+    "- multiply `4y` by `scaling_factor` in the FHE circuit, and at the end, unscale by dividing by `scaling_factor**2`\n",
+    "- or, divide `x**2` by `scaling_factor`in the FHE circuit, and at the end, unscale by dividing by `scaling_factor`.\n",
+    "We have chose the second approach, since it avoids to enlarge too much integers, making that our FHE execution is more efficient.\n",
+    "\n",
+    "The error bound is more complicated to compute: we can use an estimation.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "e3fdb20c-3e28-489e-8ede-640331674b7a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Maximal bitwidth in the circuit: 7\n",
+      "\n",
+      "Showing an example\n",
+      "random_sample=(0.43374356260757363, 1.6491834206477578)\n",
+      "scaled_sample=(3, 13)\n",
+      "scaled_result=40\n",
+      "\n",
+      "FHE:   5.0\n",
+      "clear: 5.10140388022146\n",
+      "bounded error: 0.375\n",
+      "\n",
+      "Compilation and test look good, with FHE execution time of about 0.82 seconds per inference\n"
+     ]
+    }
+   ],
+   "source": [
+    "max_value_for_floats = 2\n",
+    "scaling_factor = 8\n",
+    "nb_test_samples = 8\n",
+    "\n",
+    "def special_function_in_clear(x, y):\n",
+    "    u = x**2\n",
+    "    v = u + 4 * y\n",
+    "    return v / 1.33\n",
+    "\n",
+    "@fhe.compiler({\"x\": \"encrypted\", \"y\": \"encrypted\"})\n",
+    "def special_function(x, y):\n",
+    "    u = fhe.univariate(lambda x: x**2 // scaling_factor)(x)\n",
+    "    v = u + 4 * y \n",
+    "    return np.round(fhe.univariate(lambda x: x / 1.33)(v)).astype(np.int64)\n",
+    "\n",
+    "# Compile\n",
+    "inputset = [(round(scaling_factor * rand() * max_value_for_floats).astype(np.uint32), round(scaling_factor * rand() * max_value_for_floats).astype(np.uint32)) for _ in range(length_inputset)]\n",
+    "circuit = special_function.compile(inputset, show_mlir=False)\n",
+    "\n",
+    "print(f\"Maximal bitwidth in the circuit: {circuit.graph.maximum_integer_bit_width()}\\n\")\n",
+    "\n",
+    "# Check\n",
+    "verbose = True\n",
+    "time_begin = time()\n",
+    "\n",
+    "for _ in range(nb_test_samples):\n",
+    "    # Take a random float input\n",
+    "    random_sample = (rand() * max_value_for_floats, rand() * max_value_for_floats)\n",
+    "    if verbose:\n",
+    "        print(\"Showing an example\")\n",
+    "        print(f\"{random_sample=}\")\n",
+    "    \n",
+    "    # Scale it and round\n",
+    "    scaled_sample = (round(random_sample[0] * scaling_factor).astype(np.uint32), round(random_sample[1] * scaling_factor).astype(np.uint32))\n",
+    "    if verbose:\n",
+    "        print(f\"{scaled_sample=}\")\n",
+    "    \n",
+    "    # Encrypt\n",
+    "    encrypted_scaled_sample = circuit.encrypt(*scaled_sample)\n",
+    "    \n",
+    "    # Computations in FHE\n",
+    "    encrypted_scaled_result = circuit.run(*encrypted_scaled_sample)\n",
+    "    \n",
+    "    # Decrypt\n",
+    "    scaled_result = circuit.decrypt(encrypted_scaled_result)\n",
+    "    if verbose:\n",
+    "        print(f\"{scaled_result=}\")\n",
+    "    \n",
+    "    # Unscale\n",
+    "    result = scaled_result * 1. / scaling_factor\n",
+    "\n",
+    "    bounded_error = 3. / scaling_factor\n",
+    "    clear_result = special_function_in_clear(*random_sample)\n",
+    "    \n",
+    "    if verbose:\n",
+    "        print()\n",
+    "        print(f\"FHE:   {result}\")\n",
+    "        print(f\"clear: {clear_result}\")\n",
+    "        print(f\"bounded error: {bounded_error}\")\n",
+    "\n",
+    "    are_almost_the_same(result, clear_result, bounded_error)\n",
+    "\n",
+    "    verbose = False\n",
+    "\n",
+    "print(f\"\\nCompilation and test look good, with FHE execution time of about {(time() - time_begin) / nb_test_samples:.2f} seconds per inference\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3b228ca3-017f-4502-9b9d-ff17d9cd9171",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "\n",
+    "As one knows, floats are not natively supported in TFHE and thus in Concrete. However, we have shown in this tutorial that by scaling floats to integers, it's completely possible to make the computations in FHE. Finally, we'll add that such techniques, called quantization techniques, are directly integrated into Concrete ML for what is related to machine learning. More information are also given in the Concrete ML documentation, see https://docs.zama.ai/concrete-ml/explanations/quantization. "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": ".venv"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.15"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/frontends/concrete-python/examples/game_of_life/game_of_life.md b/frontends/concrete-python/examples/game_of_life/README.md
similarity index 100%
rename from frontends/concrete-python/examples/game_of_life/game_of_life.md
rename to frontends/concrete-python/examples/game_of_life/README.md
diff --git a/frontends/concrete-python/examples/key-value-database/dynamic-size.py b/frontends/concrete-python/examples/key_value_database/dynamic-size.py
similarity index 100%
rename from frontends/concrete-python/examples/key-value-database/dynamic-size.py
rename to frontends/concrete-python/examples/key_value_database/dynamic-size.py
diff --git a/docs/application-tutorial/key_value_database.ipynb b/frontends/concrete-python/examples/key_value_database/key_value_database.ipynb
similarity index 91%
rename from docs/application-tutorial/key_value_database.ipynb
rename to frontends/concrete-python/examples/key_value_database/key_value_database.ipynb
index 93cf418f5..07c207aab 100644
--- a/docs/application-tutorial/key_value_database.ipynb
+++ b/frontends/concrete-python/examples/key_value_database/key_value_database.ipynb
@@ -8,7 +8,7 @@
     "\n",
     "This is an interactive tutorial of an Encrypted Key Value Database. The database allows for three operations, **Insert, Replace, and Query**. All the operations are implemented as fully-homomorphic encrypted circuits.\n",
     "\n",
-    "In `examples/key-value-database/`, you will find the following files:\n",
+    "In `frontends/concrete-python/examples/key_value_database/`, you will find the following files:\n",
     "\n",
     "- `static-size.py`: This file contains a static size database implementation, meaning that the number of entries is given as a parameter at the beginning.\n",
     "- `dynamic-size.py`: This file contains a dynamic size database implementation, meaning that the database starts as a zero entry database, and is grown as needed.\n",
@@ -62,7 +62,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "# The number of entries in the database\n",
     "NUMBER_OF_ENTRIES = 5\n",
     "# The number of bits in each chunk\n",
@@ -94,7 +93,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "# Key and Value size must be a multiple of chunk size\n",
     "assert KEY_SIZE % CHUNK_SIZE == 0\n",
     "assert VALUE_SIZE % CHUNK_SIZE == 0\n",
@@ -123,7 +121,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "# Indexers for each part of the state\n",
     "FLAG = 0\n",
     "KEY = slice(1, 1 + NUMBER_OF_KEY_CHUNKS)\n",
@@ -166,13 +163,15 @@
    "source": [
     "def encode(number: int, width: int) -> np.array:\n",
     "    binary_repr = np.binary_repr(number, width=width)\n",
-    "    blocks = [binary_repr[i:i+CHUNK_SIZE] for i in range(0, len(binary_repr), CHUNK_SIZE)]\n",
+    "    blocks = [binary_repr[i : i + CHUNK_SIZE] for i in range(0, len(binary_repr), CHUNK_SIZE)]\n",
     "    return np.array([int(block, 2) for block in blocks])\n",
     "\n",
+    "\n",
     "# Encode a number with the key size\n",
     "def encode_key(number: int) -> np.array:\n",
     "    return encode(number, width=KEY_SIZE)\n",
     "\n",
+    "\n",
     "# Encode a number with the value size\n",
     "def encode_value(number: int) -> np.array:\n",
     "    return encode(number, width=VALUE_SIZE)"
@@ -202,7 +201,7 @@
     "def decode(encoded_number: np.array) -> int:\n",
     "    result = 0\n",
     "    for i in range(len(encoded_number)):\n",
-    "        result += 2**(CHUNK_SIZE*i) * encoded_number[(len(encoded_number) - i) - 1]\n",
+    "        result += 2 ** (CHUNK_SIZE * i) * encoded_number[(len(encoded_number) - i) - 1]\n",
     "    return result"
    ]
   },
@@ -224,10 +223,10 @@
    "outputs": [],
    "source": [
     "def keep_selected(value, selected):\n",
-    "  if selected:\n",
-    "      return value\n",
-    "  else:\n",
-    "      return 0"
+    "    if selected:\n",
+    "        return value\n",
+    "    else:\n",
+    "        return 0"
    ]
   },
   {
@@ -269,8 +268,8 @@
    "outputs": [],
    "source": [
     "def keep_selected_using_lut(value, selected):\n",
-    "  packed = (2 ** CHUNK_SIZE) * selected + value\n",
-    "  return keep_selected_lut[packed]"
+    "    packed = (2**CHUNK_SIZE) * selected + value\n",
+    "    return keep_selected_lut[packed]"
    ]
   },
   {
@@ -308,7 +307,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "# Insert a key value pair into the database\n",
     "# - state: The state of the database\n",
     "# - key: The key to insert\n",
@@ -334,11 +332,11 @@
     "        # | 1    | 1     | -> Used, skip\n",
     "        packed_flag_and_found = (found * 2) + flags[i]\n",
     "        # Use the packed flag and found bit to determine if the entry is unused\n",
-    "        is_selected = (packed_flag_and_found == 0)\n",
+    "        is_selected = packed_flag_and_found == 0\n",
     "\n",
     "        # Update the selection array\n",
     "        selection[i] = is_selected\n",
-    "        # Update the found bit, so all entries will be \n",
+    "        # Update the found bit, so all entries will be\n",
     "        # skipped after the first unused entry is found\n",
     "        found += is_selected\n",
     "\n",
@@ -352,12 +350,12 @@
     "\n",
     "    # Create a packed selection and key array\n",
     "    # This array is used to update the key of the selected entry\n",
-    "    packed_selection_and_key = (selection * (2 ** CHUNK_SIZE)) + key\n",
+    "    packed_selection_and_key = (selection * (2**CHUNK_SIZE)) + key\n",
     "    key_update = keep_selected_lut[packed_selection_and_key]\n",
     "\n",
     "    # Create a packed selection and value array\n",
     "    # This array is used to update the value of the selected entry\n",
-    "    packed_selection_and_value = selection * (2 ** CHUNK_SIZE) + value\n",
+    "    packed_selection_and_value = selection * (2**CHUNK_SIZE) + value\n",
     "    value_update = keep_selected_lut[packed_selection_and_value]\n",
     "\n",
     "    # Update the state update array with the key and value update arrays\n",
@@ -391,7 +389,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "# Replace the value of a key in the database\n",
     "#   If the key is not in the database, nothing happens\n",
     "#   If the key is in the database, the value is replaced\n",
@@ -405,8 +402,6 @@
     "    keys = state[:, KEY]\n",
     "    values = state[:, VALUE]\n",
     "\n",
-    "    \n",
-    "\n",
     "    # Create an equal_rows array\n",
     "    # This array is used to select all entries with the given key\n",
     "    # The equal_rows array is created by comparing the keys in the state\n",
@@ -415,7 +410,7 @@
     "    #   keys = [[1, 0, 1, 0], [0, 1, 0, 1, 1]]\n",
     "    #   key = [1, 0, 1, 0]\n",
     "    #   equal_rows = [1, 0]\n",
-    "    equal_rows = (np.sum((keys - key) == 0, axis=1) == NUMBER_OF_KEY_CHUNKS)\n",
+    "    equal_rows = np.sum((keys - key) == 0, axis=1) == NUMBER_OF_KEY_CHUNKS\n",
     "\n",
     "    # Create a selection array\n",
     "    # This array is used to select the entry to change the value of\n",
@@ -424,10 +419,10 @@
     "    # The reason for combining the equal_rows array with the flags array\n",
     "    # is to make sure that only used entries are selected\n",
     "    selection = (flags * 2 + equal_rows == 3).reshape((-1, 1))\n",
-    "    \n",
+    "\n",
     "    # Create a packed selection and value array\n",
     "    # This array is used to update the value of the selected entry\n",
-    "    packed_selection_and_value = selection * (2 ** CHUNK_SIZE) + value\n",
+    "    packed_selection_and_value = selection * (2**CHUNK_SIZE) + value\n",
     "    set_value = keep_selected_lut[packed_selection_and_value]\n",
     "\n",
     "    # Create an inverse selection array\n",
@@ -439,7 +434,7 @@
     "\n",
     "    # Create a packed inverse selection and value array\n",
     "    # This array is used to keep the value of the entries that are not selected\n",
-    "    packed_inverse_selection_and_values = inverse_selection * (2 ** CHUNK_SIZE) + values\n",
+    "    packed_inverse_selection_and_values = inverse_selection * (2**CHUNK_SIZE) + values\n",
     "    kept_values = keep_selected_lut[packed_inverse_selection_and_values]\n",
     "\n",
     "    # Update the values of the state with the new values\n",
@@ -470,7 +465,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "# Query the database for a key and return the value\n",
     "# - state: The state of the database\n",
     "# - key: The key to query\n",
@@ -500,7 +494,7 @@
     "\n",
     "    # Create a packed selection and value array\n",
     "    # This array is used to get the value of the selected entry\n",
-    "    packed_selection_and_values = selection * (2 ** CHUNK_SIZE) + values\n",
+    "    packed_selection_and_values = selection * (2**CHUNK_SIZE) + values\n",
     "    value_selection = keep_selected_lut[packed_selection_and_values]\n",
     "\n",
     "    # Sum the value selection array to get the value\n",
@@ -530,7 +524,7 @@
     "    A key-value database that uses fully homomorphic encryption circuits to store the data.\n",
     "    \"\"\"\n",
     "\n",
-    "    # The state of the database, it holds all the \n",
+    "    # The state of the database, it holds all the\n",
     "    # keys and values as a table of entries\n",
     "    _state: np.ndarray\n",
     "\n",
@@ -541,38 +535,47 @@
     "\n",
     "    # Below is the initialization of the database.\n",
     "\n",
-    "    # First, we initialize the state, and provide the necessary input sets. \n",
-    "    # In versions later than concrete-numpy.0.9.0, we can use the `direct circuit` \n",
-    "    # functionality to define the bit-widths of encrypted values rather than using \n",
-    "    # `input sets`. Input sets are used to determine the required bit-width of the \n",
-    "    # encrypted values. Hence, we add the largest possible value in the database \n",
+    "    # First, we initialize the state, and provide the necessary input sets.\n",
+    "    # In versions later than concrete-numpy.0.9.0, we can use the `direct circuit`\n",
+    "    # functionality to define the bit-widths of encrypted values rather than using\n",
+    "    # `input sets`. Input sets are used to determine the required bit-width of the\n",
+    "    # encrypted values. Hence, we add the largest possible value in the database\n",
     "    # to the input sets.\n",
     "\n",
-    "    # Within the initialization phase, we create the required configuration, \n",
-    "    # compilers, circuits, and keys. Circuit and key generation phase is \n",
+    "    # Within the initialization phase, we create the required configuration,\n",
+    "    # compilers, circuits, and keys. Circuit and key generation phase is\n",
     "    # timed and printed in the output.\n",
     "\n",
     "    def __init__(self):\n",
     "        # Initialize the state to all zeros\n",
     "        self._state = np.zeros(STATE_SHAPE, dtype=np.int64)\n",
     "\n",
-    "        ## Input sets for initialization of the circuits\n",
-    "        # The input sets are used to initialize the circuits with the correct parameters\n",
+    "        sample_state = np.array(\n",
+    "            [\n",
+    "                [i % 2] + encode_key(i).tolist() + encode_value(i).tolist()\n",
+    "                for i in range(STATE_SHAPE[0])\n",
+    "            ]\n",
+    "        )\n",
     "\n",
-    "        # The input set for the query circuit\n",
-    "        inputset_binary = [\n",
+    "        insert_replace_inputset = [\n",
     "            (\n",
-    "                np.zeros(STATE_SHAPE, dtype=np.int64), # state\n",
-    "                np.ones(NUMBER_OF_KEY_CHUNKS, dtype=np.int64) * (2**CHUNK_SIZE - 1), # key\n",
+    "                # state\n",
+    "                sample_state,\n",
+    "                # key\n",
+    "                encode_key(i),\n",
+    "                # value\n",
+    "                encode_key(i),\n",
     "            )\n",
+    "            for i in range(20)\n",
     "        ]\n",
-    "        # The input set for the insert and replace circuits\n",
-    "        inputset_ternary = [\n",
+    "        query_inputset = [\n",
     "            (\n",
-    "                np.zeros(STATE_SHAPE, dtype=np.int64), # state\n",
-    "                np.ones(NUMBER_OF_KEY_CHUNKS, dtype=np.int64) * (2**CHUNK_SIZE - 1), # key\n",
-    "                np.ones(NUMBER_OF_VALUE_CHUNKS, dtype=np.int64) * (2**CHUNK_SIZE - 1), # value\n",
+    "                # state\n",
+    "                sample_state,\n",
+    "                # key\n",
+    "                encode_key(i),\n",
     "            )\n",
+    "            for i in range(20)\n",
     "        ]\n",
     "\n",
     "        ## Circuit compilation\n",
@@ -591,18 +594,12 @@
     "        #  - \"encrypted\": The input is encrypted\n",
     "        #  - \"plain\": The input is not encrypted\n",
     "        insert_compiler = fhe.Compiler(\n",
-    "            _insert_impl,\n",
-    "            {\"state\": \"encrypted\", \"key\": \"encrypted\", \"value\": \"encrypted\"}\n",
+    "            _insert_impl, {\"state\": \"encrypted\", \"key\": \"encrypted\", \"value\": \"encrypted\"}\n",
     "        )\n",
     "        replace_compiler = fhe.Compiler(\n",
-    "            _replace_impl,\n",
-    "            {\"state\": \"encrypted\", \"key\": \"encrypted\", \"value\": \"encrypted\"}\n",
+    "            _replace_impl, {\"state\": \"encrypted\", \"key\": \"encrypted\", \"value\": \"encrypted\"}\n",
     "        )\n",
-    "        query_compiler = fhe.Compiler(\n",
-    "            _query_impl,\n",
-    "            {\"state\": \"encrypted\", \"key\": \"encrypted\"}\n",
-    "        )\n",
-    "\n",
+    "        query_compiler = fhe.Compiler(_query_impl, {\"state\": \"encrypted\", \"key\": \"encrypted\"})\n",
     "\n",
     "        ## Compile the circuits\n",
     "        # The circuits are compiled with the input set and the configuration\n",
@@ -611,7 +608,7 @@
     "\n",
     "        print(\"Compiling insertion circuit...\")\n",
     "        start = time.time()\n",
-    "        self._insert_circuit = insert_compiler.compile(inputset_ternary, configuration)\n",
+    "        self._insert_circuit = insert_compiler.compile(insert_replace_inputset, configuration)\n",
     "        end = time.time()\n",
     "        print(f\"(took {end - start:.3f} seconds)\")\n",
     "\n",
@@ -619,7 +616,7 @@
     "\n",
     "        print(\"Compiling replacement circuit...\")\n",
     "        start = time.time()\n",
-    "        self._replace_circuit = replace_compiler.compile(inputset_ternary, configuration)\n",
+    "        self._replace_circuit = replace_compiler.compile(insert_replace_inputset, configuration)\n",
     "        end = time.time()\n",
     "        print(f\"(took {end - start:.3f} seconds)\")\n",
     "\n",
@@ -627,7 +624,7 @@
     "\n",
     "        print(\"Compiling query circuit...\")\n",
     "        start = time.time()\n",
-    "        self._query_circuit = query_compiler.compile(inputset_binary, configuration)\n",
+    "        self._query_circuit = query_compiler.compile(query_inputset, configuration)\n",
     "        end = time.time()\n",
     "        print(f\"(took {end - start:.3f} seconds)\")\n",
     "\n",
@@ -659,10 +656,10 @@
     "        print(f\"(took {end - start:.3f} seconds)\")\n",
     "\n",
     "    ### The Interface Functions\n",
-    "        \n",
-    "    # The following methods are used to interact with the database. \n",
-    "    # They are used to insert, replace and query the database. \n",
-    "    # The methods are implemented by encrypting the inputs, \n",
+    "\n",
+    "    # The following methods are used to interact with the database.\n",
+    "    # They are used to insert, replace and query the database.\n",
+    "    # The methods are implemented by encrypting the inputs,\n",
     "    # running the circuit and decrypting the output.\n",
     "\n",
     "    # Insert a key-value pair into the database\n",
@@ -703,16 +700,14 @@
     "        print()\n",
     "        print(f\"Querying...\")\n",
     "        start = time.time()\n",
-    "        result = self._query_circuit.encrypt_run_decrypt(\n",
-    "            self._state, encode_key(key)\n",
-    "        )\n",
+    "        result = self._query_circuit.encrypt_run_decrypt(self._state, encode_key(key))\n",
     "        end = time.time()\n",
     "        print(f\"(took {end - start:.3f} seconds)\")\n",
     "\n",
     "        if result[0] == 0:\n",
     "            return None\n",
     "\n",
-    "        return decode(result[1:])\n"
+    "        return decode(result[1:])"
    ]
   },
   {
@@ -992,10 +987,10 @@
    "source": [
     "# Define lower/upper bounds for the key\n",
     "minimum_key = 1\n",
-    "maximum_key = 2 ** KEY_SIZE - 1\n",
+    "maximum_key = 2**KEY_SIZE - 1\n",
     "# Define lower/upper bounds for the value\n",
     "minimum_value = 1\n",
-    "maximum_value = 2 ** VALUE_SIZE - 1"
+    "maximum_value = 2**VALUE_SIZE - 1"
    ]
   },
   {
@@ -1076,8 +1071,25 @@
  "metadata": {
   "execution": {
    "timeout": 10800
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/frontends/concrete-python/examples/key-value-database/static-size.py b/frontends/concrete-python/examples/key_value_database/static-size.py
similarity index 100%
rename from frontends/concrete-python/examples/key-value-database/static-size.py
rename to frontends/concrete-python/examples/key_value_database/static-size.py
diff --git a/frontends/concrete-python/examples/levenshtein_distance/README.md b/frontends/concrete-python/examples/levenshtein_distance/README.md
new file mode 100644
index 000000000..b7a686e83
--- /dev/null
+++ b/frontends/concrete-python/examples/levenshtein_distance/README.md
@@ -0,0 +1,207 @@
+# Computing the Levenshtein distance in FHE
+
+## Levenshtein distance
+
+Levenshtein distance is a classical distance to compare two strings. Let's write strings a and b as
+vectors of characters, meaning a[0] is the first char of a and a[1:] is the rest of the string.
+Levenshtein distance is defined as:
+
+    Levenshtein(a, b) :=
+        length(a) if length(b) == 0, or
+        length(b) if length(a) == 0, or
+        Levenshtein(a[1:], b[1:]) if a[0] == b[0], or
+        1 + min(Levenshtein(a[1:], b), Levenshtein(a, b[1:]), Levenshtein(a[1:], b[1:]))
+
+More information can be found for example on the [Wikipedia page](https://en.wikipedia.org/wiki/Levenshtein_distance).
+
+## Computing the distance in FHE
+
+It can be interesting to compute this distance over encrypted data, for example in the banking sector.
+We show in [our code](levenshtein_distance.py) how to do that simply, with our FHE modules.
+
+Available options are:
+
+```
+usage: levenshtein_distance.py [-h] [--show_mlir] [--show_optimizer] [--autotest] [--autoperf] [--distance DISTANCE DISTANCE]
+                               [--alphabet {string,STRING,StRiNg,ACTG}] [--max_string_length MAX_STRING_LENGTH]
+
+Levenshtein distance in Concrete.
+
+optional arguments:
+  -h, --help            show this help message and exit
+  --show_mlir           Show the MLIR
+  --show_optimizer      Show the optimizer outputs
+  --autotest            Run random tests
+  --autoperf            Run benchmarks
+  --distance DISTANCE DISTANCE
+                        Compute a distance
+  --alphabet {string,STRING,StRiNg,ACTG}
+                        Setting the alphabet
+  --max_string_length MAX_STRING_LENGTH
+                        Setting the maximal size of strings
+```
+
+The different alphabets are:
+- string: non capitalized letters, ie `[a-z]*`
+- STRING: capitalized letters, ie `[A-Z]*`
+- StRiNg: non capitalized letters and capitalized letters
+- ACTG: `[ACTG]*`, for DNA analysis
+
+It is very easy to add a new alphabet in the code.
+
+The most important usages are:
+
+- `python levenshtein_distance.py --distance Zama amazing --alphabet StRiNg --max_string_length 7`: Compute the distance between
+strings "Zama" and "amazing", considering the chars of "StRiNg" alphabet
+
+```
+
+Running distance between strings 'Zama' and 'amazing' for alphabet StRiNg:
+
+    Computing Levenshtein between strings 'Zama' and 'amazing' - distance is 5, computed in 44.51 seconds
+
+Successful end
+```
+
+- `python levenshtein_distance.py --autotest`: Run random tests with the alphabet.
+
+```
+Making random tests with alphabet string
+Letters are abcdefghijklmnopqrstuvwxyz
+
+Computations in simulation
+
+    Computing Levenshtein between strings '' and '' - OK
+    Computing Levenshtein between strings '' and 'p' - OK
+    Computing Levenshtein between strings '' and 'vv' - OK
+    Computing Levenshtein between strings '' and 'mxg' - OK
+    Computing Levenshtein between strings '' and 'iuxf' - OK
+    Computing Levenshtein between strings 'k' and '' - OK
+    Computing Levenshtein between strings 'p' and 'g' - OK
+    Computing Levenshtein between strings 'v' and 'ky' - OK
+    Computing Levenshtein between strings 'f' and 'uoq' - OK
+    Computing Levenshtein between strings 'f' and 'kwfj' - OK
+    Computing Levenshtein between strings 'ut' and '' - OK
+    Computing Levenshtein between strings 'pa' and 'g' - OK
+    Computing Levenshtein between strings 'bu' and 'sx' - OK
+    Computing Levenshtein between strings 'is' and 'diy' - OK
+    Computing Levenshtein between strings 'fz' and 'unda' - OK
+    Computing Levenshtein between strings 'sem' and '' - OK
+    Computing Levenshtein between strings 'dbr' and 'o' - OK
+    Computing Levenshtein between strings 'dgj' and 'hk' - OK
+    Computing Levenshtein between strings 'ejb' and 'tfo' - OK
+    Computing Levenshtein between strings 'afa' and 'ygqo' - OK
+    Computing Levenshtein between strings 'lhcc' and '' - OK
+    Computing Levenshtein between strings 'uoiu' and 'u' - OK
+    Computing Levenshtein between strings 'tztt' and 'xo' - OK
+    Computing Levenshtein between strings 'ufsa' and 'mil' - OK
+    Computing Levenshtein between strings 'uuzl' and 'dzkr' - OK
+
+Computations in FHE
+
+    Computing Levenshtein between strings '' and '' - OK in 1.29 seconds
+    Computing Levenshtein between strings '' and 'p' - OK in 0.26 seconds
+    Computing Levenshtein between strings '' and 'vv' - OK in 0.26 seconds
+    Computing Levenshtein between strings '' and 'mxg' - OK in 0.22 seconds
+    Computing Levenshtein between strings '' and 'iuxf' - OK in 0.22 seconds
+    Computing Levenshtein between strings 'k' and '' - OK in 0.22 seconds
+    Computing Levenshtein between strings 'p' and 'g' - OK in 1.09 seconds
+    Computing Levenshtein between strings 'v' and 'ky' - OK in 1.93 seconds
+    Computing Levenshtein between strings 'f' and 'uoq' - OK in 3.09 seconds
+    Computing Levenshtein between strings 'f' and 'kwfj' - OK in 3.98 seconds
+    Computing Levenshtein between strings 'ut' and '' - OK in 0.25 seconds
+    Computing Levenshtein between strings 'pa' and 'g' - OK in 1.90 seconds
+    Computing Levenshtein between strings 'bu' and 'sx' - OK in 3.52 seconds
+    Computing Levenshtein between strings 'is' and 'diy' - OK in 5.04 seconds
+    Computing Levenshtein between strings 'fz' and 'unda' - OK in 6.53 seconds
+    Computing Levenshtein between strings 'sem' and '' - OK in 0.22 seconds
+    Computing Levenshtein between strings 'dbr' and 'o' - OK in 2.78 seconds
+    Computing Levenshtein between strings 'dgj' and 'hk' - OK in 4.92 seconds
+    Computing Levenshtein between strings 'ejb' and 'tfo' - OK in 7.18 seconds
+    Computing Levenshtein between strings 'afa' and 'ygqo' - OK in 9.25 seconds
+    Computing Levenshtein between strings 'lhcc' and '' - OK in 0.22 seconds
+    Computing Levenshtein between strings 'uoiu' and 'u' - OK in 3.52 seconds
+    Computing Levenshtein between strings 'tztt' and 'xo' - OK in 6.45 seconds
+    Computing Levenshtein between strings 'ufsa' and 'mil' - OK in 9.11 seconds
+    Computing Levenshtein between strings 'uuzl' and 'dzkr' - OK in 12.01 seconds
+
+Successful end
+```
+
+- `python levenshtein_distance.py --autoperf`: Benchmark with random strings, for the different alphabets.
+
+```
+Typical performances for alphabet ACTG, with string of maximal length:
+
+    Computing Levenshtein between strings 'GCGA' and 'GTCA' - OK in 6.04 seconds
+    Computing Levenshtein between strings 'TCGA' and 'ACAA' - OK in 5.57 seconds
+    Computing Levenshtein between strings 'CAGT' and 'CGTT' - OK in 5.63 seconds
+
+Typical performances for alphabet string, with string of maximal length:
+
+    Computing Levenshtein between strings 'ctow' and 'qtor' - OK in 17.54 seconds
+    Computing Levenshtein between strings 'vwky' and 'enfh' - OK in 16.46 seconds
+    Computing Levenshtein between strings 'dqse' and 'spps' - OK in 16.49 seconds
+
+Typical performances for alphabet STRING, with string of maximal length:
+
+    Computing Levenshtein between strings 'TQBW' and 'LKIZ' - OK in 16.62 seconds
+    Computing Levenshtein between strings 'HANA' and 'CFVO' - OK in 16.32 seconds
+    Computing Levenshtein between strings 'BEXY' and 'YAWM' - OK in 16.58 seconds
+
+Typical performances for alphabet StRiNg, with string of maximal length:
+
+    Computing Levenshtein between strings 'iYmH' and 'ONnz' - OK in 30.56 seconds
+    Computing Levenshtein between strings 'hZyX' and 'vhHH' - OK in 30.11 seconds
+    Computing Levenshtein between strings 'sJdj' and 'strn' - OK in 30.48 seconds
+
+Successful end
+```
+
+## Complexity analysis
+
+Let's analyze a bit the complexity of the function `levenshtein_fhe` in FHE. We can see that the
+function cannot apply `if`'s as in the clear function `levenshtein_clear`: it has to compute the two
+branches (the one for the True, and the one for the False), and finally compute an `fhe.if_then_else`
+of the two possible values. This slowdown is not specific to Concrete, it is by nature of FHE, where
+encrypted conditions imply such a trick.
+
+Another interesting part is the impact of the choice of the alphabet: in `run`, we are going to
+compare two chars of the alphabet, and return an encrypted boolean to code for the equality / inequality
+of these two chars. This is basically done with a single programmable bootstrapping (PBS) of `w+1`
+bits, where `w` is the floored log2 value of the number of chars in the alphabet. For example, for
+the 'string' alphabet, which has 26 letters, `w = 5` and so we use a signed 6-bit value as input of a
+table lookup. For the larger 'StRiNg' alphabet, that's a signed 7-bit PBS. For small DNA alphabet 'ACTG',
+it's only signed 3-bit PBS.
+
+## Benchmarks on hpc7a
+
+The benchmarks were done using Concrete 2.7 on `hpc7a` machine on AWS, and give:
+
+```
+Typical performances for alphabet ACTG, with string of maximal length:
+
+    Computing Levenshtein between strings 'AGTC' and 'TGGA' - OK in 6.00 seconds
+    Computing Levenshtein between strings 'GTAA' and 'AGAC' - OK in 5.51 seconds
+    Computing Levenshtein between strings 'TCTT' and 'CACG' - OK in 5.49 seconds
+
+Typical performances for alphabet string, with string of maximal length:
+
+    Computing Levenshtein between strings 'jqdk' and 'zqlf' - OK in 17.43 seconds
+    Computing Levenshtein between strings 'uquc' and 'qvvp' - OK in 16.50 seconds
+    Computing Levenshtein between strings 'vebm' and 'ybqo' - OK in 16.46 seconds
+
+Typical performances for alphabet STRING, with string of maximal length:
+
+    Computing Levenshtein between strings 'UQES' and 'NWXQ' - OK in 16.53 seconds
+    Computing Levenshtein between strings 'LAJG' and 'NEGP' - OK in 16.26 seconds
+    Computing Levenshtein between strings 'OSQG' and 'OTEH' - OK in 16.52 seconds
+
+Typical performances for alphabet StRiNg, with string of maximal length:
+
+    Computing Levenshtein between strings 'ixgu' and 'cOSy' - OK in 30.94 seconds
+    Computing Levenshtein between strings 'QGCj' and 'Lknx' - OK in 29.82 seconds
+    Computing Levenshtein between strings 'fKVC' and 'xqaI' - OK in 30.27 seconds
+
+Successful end
+```
diff --git a/frontends/concrete-python/examples/levenshtein_distance/levenshtein_distance.py b/frontends/concrete-python/examples/levenshtein_distance/levenshtein_distance.py
new file mode 100644
index 000000000..617464731
--- /dev/null
+++ b/frontends/concrete-python/examples/levenshtein_distance/levenshtein_distance.py
@@ -0,0 +1,456 @@
+# Computing Levenstein distance between strings, https://en.wikipedia.org/wiki/Levenshtein_distance
+
+# ruff: noqa:S311,N805
+# pylint: disable=no-self-argument
+
+import argparse
+import random
+import time
+from functools import lru_cache
+
+import numpy as np
+
+from concrete import fhe
+
+# mypy: disable-error-code="valid-type"
+
+
+class Alphabet:
+    letters: str = ""
+    mapping_to_int: dict
+
+    @staticmethod
+    def lowercase():
+        """Set lower case alphabet."""
+        return Alphabet("abcdefghijklmnopqrstuvwxyz")
+
+    @staticmethod
+    def uppercase():
+        """Set upper case alphabet."""
+        return Alphabet("ABCDEFGHIJKLMNOPQRSTUVWXYZ")
+
+    @staticmethod
+    def anycase():
+        """Set any-case alphabet."""
+        return Alphabet.lowercase() + Alphabet.uppercase()
+
+    @staticmethod
+    def dna():
+        """Set DNA alphabet."""
+        return Alphabet("ATGC")
+
+    def __init__(self, letters: str):
+        self.letters = letters
+        self.mapping_to_int = {}
+
+        for i, c in enumerate(self.letters):
+            self.mapping_to_int[c] = i
+
+    def __add__(self, other: "Alphabet") -> "Alphabet":
+        return Alphabet(self.letters + other.letters)
+
+    @staticmethod
+    def return_available_alphabets() -> list:
+        """Return available alphabets."""
+        return ["string", "STRING", "StRiNg", "ACTG"]
+
+    @staticmethod
+    def init_by_name(alphabet_name: str) -> "Alphabet":
+        """Set the alphabet."""
+        assert (
+            alphabet_name in Alphabet.return_available_alphabets()
+        ), f"Unknown alphabet {alphabet_name}"
+
+        if alphabet_name == "string":
+            return Alphabet.lowercase()
+        if alphabet_name == "STRING":
+            return Alphabet.uppercase()
+        if alphabet_name == "StRiNg":
+            return Alphabet.anycase()
+
+        assert alphabet_name == "ACTG", f"Unknown alphabet {alphabet_name}"
+        return Alphabet.dna()
+
+    def random_pick_in_values(self) -> int:
+        """Pick the integer-encoding of a random char in an alphabet."""
+        return np.random.randint(len(self.mapping_to_int))
+
+    def _random_string(self, length: int) -> str:
+        """Pick a random string in the alphabet."""
+        ans = "".join([random.choice(list(self.mapping_to_int)) for _ in range(length)])
+        check = [c in self.letters for c in ans]
+        assert all(check), "Issue in generation"
+        return ans
+
+    def prepare_random_patterns(self, len_min: int, len_max: int, nb_strings: int) -> list:
+        """Prepare random patterns of different lengths."""
+        assert len(self.mapping_to_int) > 0, "Mapping not defined"
+
+        list_patterns = []
+        for _ in range(nb_strings):
+            for length_1 in range(len_min, len_max + 1):
+                for length_2 in range(len_min, len_max + 1):
+                    list_patterns += [
+                        (
+                            self._random_string(length_1),
+                            self._random_string(length_2),
+                        )
+                        for _ in range(1)
+                    ]
+
+        return list_patterns
+
+    def encode(self, string: str) -> tuple:
+        """Encode a string, ie map it to integers using the alphabet."""
+
+        assert len(self.mapping_to_int) > 0, "Mapping not defined"
+
+        for si in string:
+            if si not in self.mapping_to_int:
+                error_string = (
+                    f"Char {si} of {string} is not in alphabet "
+                    + f"{list(self.mapping_to_int.keys())}, please choose the right --alphabet"
+                )
+                raise ValueError(error_string)
+
+        return tuple(self.mapping_to_int[si] for si in string)
+
+
+class LevenshteinDistance:
+    alphabet: Alphabet
+    module: fhe.module  # type: ignore
+
+    def __init__(self, alphabet: Alphabet, args):
+        self.alphabet = alphabet
+
+        self._compile_module(args)
+
+    def calculate(self, a: str, b: str, mode: str, show_distance: bool = False):
+        """Compute a distance between two strings, either in fhe or in simulate."""
+        if mode == "simulate":
+            self._compute_in_simulation([(a, b)])
+        else:
+            assert mode == "fhe", "Only 'simulate' and 'fhe' mode are available"
+            self._compute_in_fhe([(a, b)], show_distance=show_distance)
+
+    def calculate_list(self, pairs_to_compute_on: list, mode: str):
+        """Compute a distance between strings of a list, either in fhe or in simulate."""
+        for a, b in pairs_to_compute_on:
+            self.calculate(a, b, mode)
+
+    def _encode_and_encrypt_strings(self, a: str, b: str) -> tuple:
+        """Encode a string, ie map it to integers using the alphabet, and then encrypt
+        the integers."""
+        a_as_int = self.alphabet.encode(a)
+        b_as_int = self.alphabet.encode(b)
+
+        a_enc = tuple(self.module.equal.encrypt(ai, None)[0] for ai in a_as_int)  # type: ignore
+        b_enc = tuple(self.module.equal.encrypt(None, bi)[1] for bi in b_as_int)  # type: ignore
+
+        return a_enc, b_enc
+
+    def _compile_module(self, args):
+        """Compile the FHE module."""
+        assert len(self.alphabet.mapping_to_int) > 0, "Mapping not defined"
+
+        inputset_equal = [
+            (
+                self.alphabet.random_pick_in_values(),
+                self.alphabet.random_pick_in_values(),
+            )
+            for _ in range(1000)
+        ]
+        inputset_mix = [
+            (
+                np.random.randint(2),
+                np.random.randint(args.max_string_length),
+                np.random.randint(args.max_string_length),
+                np.random.randint(args.max_string_length),
+                np.random.randint(args.max_string_length),
+            )
+            for _ in range(1000)
+        ]
+
+        # pylint: disable-next=no-member
+        self.module = LevenshsteinModule.compile(
+            {
+                "equal": inputset_equal,
+                "mix": inputset_mix,
+                "constant": [i for i in range(len(self.alphabet.mapping_to_int))],
+            },
+            show_mlir=args.show_mlir,
+            p_error=10**-20,
+            show_optimizer=args.show_optimizer,
+            comparison_strategy_preference=fhe.ComparisonStrategy.ONE_TLU_PROMOTED,
+            min_max_strategy_preference=fhe.MinMaxStrategy.ONE_TLU_PROMOTED,
+        )
+
+    def _compute_in_simulation(self, list_patterns: list):
+        """Check equality between distance in simulation and clear distance."""
+        for a, b in list_patterns:
+            print(f"    Computing Levenshtein between strings '{a}' and '{b}'", end="")
+
+            a_as_int = self.alphabet.encode(a)
+            b_as_int = self.alphabet.encode(b)
+
+            l1_simulate = levenshtein_simulate(self.module, a_as_int, b_as_int)
+            l1_clear = levenshtein_clear(a_as_int, b_as_int)
+
+            assert l1_simulate == l1_clear, f"    {l1_simulate=} and {l1_clear=} are different"
+            print(" - OK")
+
+    def _compute_in_fhe(self, list_patterns: list, show_distance: bool = False):
+        """Check equality between distance in FHE and clear distance."""
+        self.module.keygen()  # type: ignore
+
+        # Checks in FHE
+        for a, b in list_patterns:
+            print(f"    Computing Levenshtein between strings '{a}' and '{b}'", end="")
+
+            a_enc, b_enc = self._encode_and_encrypt_strings(a, b)
+
+            time_begin = time.time()
+            l1_fhe_enc = levenshtein_fhe(self.module, a_enc, b_enc)
+            time_end = time.time()
+
+            l1_fhe = self.module.mix.decrypt(l1_fhe_enc)  # type: ignore
+
+            l1_clear = levenshtein_clear(a, b)
+
+            assert l1_fhe == l1_clear, f"    {l1_fhe=} and {l1_clear=} are different"
+
+            if not show_distance:
+                print(f" - OK in {time_end - time_begin:.2f} seconds")
+            else:
+                print(f" - distance is {l1_fhe}, computed in {time_end - time_begin:.2f} seconds")
+
+
+# Module FHE
+@fhe.module()
+class LevenshsteinModule:
+    @fhe.function({"x": "encrypted", "y": "encrypted"})
+    def equal(x, y):
+        """Assert equality between two chars of the alphabet."""
+        return x == y
+
+    @fhe.function({"x": "clear"})
+    def constant(x):
+        return fhe.zero() + x
+
+    @fhe.function(
+        {
+            "is_equal": "encrypted",
+            "if_equal": "encrypted",
+            "case_1": "encrypted",
+            "case_2": "encrypted",
+            "case_3": "encrypted",
+        }
+    )
+    def mix(is_equal, if_equal, case_1, case_2, case_3):
+        """Compute the min of (case_1, case_2, case_3), and then return `if_equal` if `is_equal` is
+        True, or the min in the other case."""
+        min_12 = np.minimum(case_1, case_2)
+        min_123 = np.minimum(min_12, case_3)
+
+        return fhe.if_then_else(is_equal, if_equal, 1 + min_123)
+
+    # There is a single output in mix: it can go to
+    #   - input 1 of mix
+    #   - input 2 of mix
+    #   - input 3 of mix
+    #   - input 4 of mix
+    # or just be the final output
+    #
+    # There is a single output of equal, it goes to input 0 of mix
+    composition = fhe.Wired(
+        [
+            fhe.Wire(fhe.AllOutputs(equal), fhe.Input(mix, 0)),
+            fhe.Wire(fhe.AllOutputs(mix), fhe.Input(mix, 1)),
+            fhe.Wire(fhe.AllOutputs(mix), fhe.Input(mix, 2)),
+            fhe.Wire(fhe.AllOutputs(mix), fhe.Input(mix, 3)),
+            fhe.Wire(fhe.AllOutputs(mix), fhe.Input(mix, 4)),
+            fhe.Wire(fhe.AllOutputs(constant), fhe.Input(mix, 1)),
+            fhe.Wire(fhe.AllOutputs(constant), fhe.Input(mix, 2)),
+            fhe.Wire(fhe.AllOutputs(constant), fhe.Input(mix, 3)),
+            fhe.Wire(fhe.AllOutputs(constant), fhe.Input(mix, 4)),
+        ]
+    )
+
+
+@lru_cache
+def levenshtein_clear(x: str, y: str):
+    """Compute the distance in clear, for reference and comparison."""
+    if len(x) == 0:
+        return len(y)
+    if len(y) == 0:
+        return len(x)
+
+    if x[0] == y[0]:
+        return levenshtein_clear(x[1:], y[1:])
+
+    case_1 = levenshtein_clear(x[1:], y)
+    case_2 = levenshtein_clear(x, y[1:])
+    case_3 = levenshtein_clear(x[1:], y[1:])
+
+    return 1 + min(case_1, case_2, case_3)
+
+
+@lru_cache
+def levenshtein_simulate(module: fhe.module, x: str, y: str):
+    """Compute the distance in simulation."""
+    if len(x) == 0:
+        return len(y)
+    if len(y) == 0:
+        return len(x)
+
+    if_equal = levenshtein_simulate(module, x[1:], y[1:])
+    case_1 = levenshtein_simulate(module, x[1:], y)
+    case_2 = levenshtein_simulate(module, x, y[1:])
+    case_3 = if_equal
+
+    is_equal = module.equal(x[0], y[0])  # type: ignore
+    returned_value = module.mix(is_equal, if_equal, case_1, case_2, case_3)  # type: ignore
+
+    return returned_value
+
+
+@lru_cache
+def levenshtein_fhe(module: fhe.module, x: str, y: str):
+    """Compute the distance in FHE."""
+    if len(x) == 0:
+        return module.constant.run(module.constant.encrypt(len(y)))  # type: ignore
+    if len(y) == 0:
+        return module.constant.run(module.constant.encrypt(len(x)))  # type: ignore
+
+    if_equal = levenshtein_fhe(module, x[1:], y[1:])
+    case_1 = levenshtein_fhe(module, x[1:], y)
+    case_2 = levenshtein_fhe(module, x, y[1:])
+    case_3 = if_equal
+
+    is_equal = module.equal.run(x[0], y[0])  # type: ignore
+    returned_value = module.mix.run(is_equal, if_equal, case_1, case_2, case_3)  # type: ignore
+
+    return returned_value
+
+
+def manage_args():
+    """Manage user arguments."""
+    parser = argparse.ArgumentParser(description="Levenshtein distance in Concrete.")
+    parser.add_argument(
+        "--show_mlir",
+        dest="show_mlir",
+        action="store_true",
+        help="Show the MLIR",
+    )
+    parser.add_argument(
+        "--show_optimizer",
+        dest="show_optimizer",
+        action="store_true",
+        help="Show the optimizer outputs",
+    )
+    parser.add_argument(
+        "--autotest",
+        dest="autotest",
+        action="store_true",
+        help="Run random tests",
+    )
+    parser.add_argument(
+        "--autoperf",
+        dest="autoperf",
+        action="store_true",
+        help="Run benchmarks",
+    )
+    parser.add_argument(
+        "--distance",
+        dest="distance",
+        nargs=2,
+        type=str,
+        action="store",
+        help="Compute a distance",
+    )
+    parser.add_argument(
+        "--alphabet",
+        dest="alphabet",
+        choices=Alphabet.return_available_alphabets(),
+        default="string",
+        help="Setting the alphabet",
+    )
+    parser.add_argument(
+        "--max_string_length",
+        dest="max_string_length",
+        type=int,
+        default=4,
+        help="Setting the maximal size of strings",
+    )
+    args = parser.parse_args()
+
+    # At least one option
+    assert (
+        args.autoperf + args.autotest + (args.distance is not None) > 0
+    ), "must activate one option --autoperf or --autotest or --distance"
+
+    return args
+
+
+def main():
+    """Main function."""
+    print()
+
+    # Options by the user
+    args = manage_args()
+
+    # Do what the user requested
+    if args.autotest:
+        alphabet = Alphabet.init_by_name(args.alphabet)
+        levenshtein_distance = LevenshteinDistance(alphabet, args)
+
+        print(f"Making random tests with alphabet {args.alphabet}")
+        print(f"Letters are {alphabet.letters}\n")
+
+        list_patterns = alphabet.prepare_random_patterns(0, args.max_string_length, 1)
+        print("Computations in simulation\n")
+        levenshtein_distance.calculate_list(list_patterns, mode="simulate")
+        print("\nComputations in FHE\n")
+        levenshtein_distance.calculate_list(list_patterns, mode="fhe")
+        print("")
+
+    if args.autoperf:
+        for alphabet_name in ["ACTG", "string", "STRING", "StRiNg"]:
+            print(
+                f"Typical performances for alphabet {alphabet_name}, with string of "
+                "maximal length:\n"
+            )
+
+            alphabet = Alphabet.init_by_name(alphabet_name)
+            levenshtein_distance = LevenshteinDistance(alphabet, args)
+            list_patterns = alphabet.prepare_random_patterns(
+                args.max_string_length, args.max_string_length, 3
+            )
+            levenshtein_distance.calculate_list(list_patterns, mode="fhe")
+            print("")
+
+    if args.distance is not None:
+        print(
+            f"Running distance between strings '{args.distance[0]}' and '{args.distance[1]}' "
+            f"for alphabet {args.alphabet}:\n"
+        )
+
+        if max(len(args.distance[0]), len(args.distance[1])) > args.max_string_length:
+            args.max_string_length = max(len(args.distance[0]), len(args.distance[1]))
+            print(
+                "Warning, --max_string_length was smaller than lengths of the input strings, "
+                "fixing it"
+            )
+
+        alphabet = Alphabet.init_by_name(args.alphabet)
+        levenshtein_distance = LevenshteinDistance(alphabet, args)
+        levenshtein_distance.calculate(
+            args.distance[0], args.distance[1], mode="fhe", show_distance=True
+        )
+        print("")
+
+    print("Successful end\n")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/frontends/concrete-python/examples/sha1/sha1.md b/frontends/concrete-python/examples/sha1/README.md
similarity index 61%
rename from frontends/concrete-python/examples/sha1/sha1.md
rename to frontends/concrete-python/examples/sha1/README.md
index c188d2693..6be2ea0ca 100644
--- a/frontends/concrete-python/examples/sha1/sha1.md
+++ b/frontends/concrete-python/examples/sha1/README.md
@@ -65,50 +65,18 @@ class MyModule:
 
     @fhe.function({"x": "encrypted", "y": "encrypted"})
     def add2(x, y):
-        ans = fhe.zeros((32,))
-        cy = 0
-
-        for i in range(32):
-            t = x[i] + y[i] + cy
-            cy, tr = t >= 2, t % 2
-            ans[i] = tr
-
-        return ans
+        return fhe.bits(add_chunked_number(x, y))[0]
 
     @fhe.function(
         {"x": "encrypted", "y": "encrypted", "u": "encrypted", "v": "encrypted", "w": "encrypted"}
     )
     def add5(x, y, u, v, w):
-        ans = fhe.zeros((32,))
-        cy = 0
+        result = add_chunked_number(x, y)
+        result = add_chunked_number(result, u)
+        result = add_chunked_number(result, v)
+        result = add_chunked_number(result, w)
 
-        for i in range(32):
-            t = x[i] + y[i] + cy
-            cy, tr = t // 2, t % 2
-            ans[i] = tr
-
-        cy = 0
-
-        for i in range(32):
-            t = ans[i] + u[i] + cy
-            cy, tr = t // 2, t % 2
-            ans[i] = tr
-
-        cy = 0
-
-        for i in range(32):
-            t = ans[i] + v[i] + cy
-            cy, tr = t // 2, t % 2
-            ans[i] = tr
-
-        cy = 0
-
-        for i in range(32):
-            t = ans[i] + w[i] + cy
-            cy, tr = t // 2, t % 2
-            ans[i] = tr
-
-        return ans
+        return fhe.bits(result)[0]
 ```
 
 We then compile this Module, setting `p_error=10**-8` as a very small value to avoid computation
@@ -220,79 +188,79 @@ computed in: 320.265383 seconds
 
 ## Benchmarks
 
-We have executed our implementation on an HPC7a machine with Concrete 2.7.0rc1.
+We have executed our implementation on an HPC7a machine with Concrete 2.7.
 
 `python sha1.py --autotest` typically returns:
 
 ```
-Checking SHA1(fdASguUMBwhPcKuDpPqoRlQXLrLQbnxEvPJSQSIUDTBoaqrJlBualgoWEINmDZDYSuGuSOpGBWwWzjAfktWYZZUliv) for an input length 90
-sha1-digest: 5bb539fd423875ccc8a33148dae724f5b2cf9391
-computed in: 295.306287 seconds
-Checking SHA1(BYwXTbqE) for an input length 8
-sha1-digest: 90a8dcad6ddff7ca8fd487b80a37fcd250c56bed
-computed in: 145.341164 seconds
-Checking SHA1(rnPZh) for an input length 5
-sha1-digest: 47610d2c26ee8b45ab0f4c8f8e4d405b2cd37f1f
-computed in: 145.318081 seconds
-Checking SHA1(orRaJMGbUJtxITQvqiOCPjKJWYuHomuiexCQQgZyTeAAFJcgCftDCRAkcLKjRECelIMPQphGEUlSNthE) for an input length 80
-sha1-digest: bd74b4e64349d308f3b95b54cf61ee416bdd6b18
-computed in: 288.240576 seconds
-Checking SHA1(ROokDcdczajNPjlCPoWotaRJHBtOVyiyxMIIeCtxaDCjk) for an input length 45
-sha1-digest: 1ff546c3a64f27339781c095cbc097f392c2cccd
-computed in: 143.621941 seconds
-Checking SHA1(KbCXFt) for an input length 6
-sha1-digest: 7e5789f0c83fa5102004fbeeef3ac22244d1cdac
-computed in: 143.509567 seconds
-Checking SHA1(mpKnkHtrgokxgQSzcIjFtxKnhmMfZbIbkJavnkSxW) for an input length 41
-sha1-digest: 1308d9f7cba634ab2617edb5116b8bdf434f16f5
-computed in: 143.341450 seconds
-Checking SHA1(oauoWKJGyjjTcXqRIxFGuVuMwiwjKYfttQ) for an input length 34
-sha1-digest: 60367153b7049ca92eb979ad7b809c5a3f47a64e
-computed in: 143.693254 seconds
-Checking SHA1(ZMGiaIOmBJPncOsUCxj) for an input length 19
-sha1-digest: fafba9f2fe6b5a0fddad4ad765909c8fc32117c6
-computed in: 143.720215 seconds
-Checking SHA1(HwCXIHnFoGUgIBqaQrrpDnhEvPBX) for an input length 28
-sha1-digest: 5224cace20f8d20fa3ea8d9974b5ff3a0be7fd48
-computed in: 143.523006 seconds
-Checking SHA1(AfyzsimngrqeWoqZKOBRwVuvttfgJTpegMbiHjUNdWzTg) for an input length 45
-sha1-digest: 8ca27aca1c362ca63e50d58aa7065b4322f028a0
-computed in: 143.481069 seconds
-Checking SHA1(hNEUPakrqQpGGZvtHvht) for an input length 20
-sha1-digest: 36ae34ed85e62ac0f922e36fc98b23e725695be1
-computed in: 143.478666 seconds
-Checking SHA1(CjgfYYlNKqZdHeXFfqTwhycbGBeSpzpxKPwWItriiNKZCcEJRZlM) for an input length 52
-sha1-digest: 3c012f41c5fe4581f80e2901fc4bbbb70ff7a9ba
-computed in: 143.490262 seconds
-Checking SHA1(EXIGkYzWpcqpfRKCSbBJJqqmUBkFwWfPGooJvsVAshWjMr) for an input length 46
-sha1-digest: 2518c4d13ec7608f59632ac993b726e572c3aaae
-computed in: 143.840785 seconds
-Checking SHA1(sgzaAqZnhXmFJOJMyfGxweYFMmLeUHmMCWETfqzstzpFYKaGpnasiLHPTcJtukHztEQpXzquREcbtoJDaoqjfM) for an input length 86
-sha1-digest: 46f4b0653ed7ea0ce89cc18f6720e5e334d63a45
-computed in: 288.155301 seconds
-Checking SHA1(oRaisdHJovDxCnwyComEGejqMceBTOVhJucVnwgC) for an input length 40
-sha1-digest: 909f9c6275aa9f41d8ecaf52203bb0e24cf978d7
-computed in: 143.466817 seconds
-Checking SHA1(mtTWxtHerQgLdBGftWdiCwBKqtu) for an input length 27
-sha1-digest: 624a7dcec460061a2a6499dae978fe4afd674110
-computed in: 145.389956 seconds
-Checking SHA1(beYzkJLvZMmoXbQwqoVThpyaQ) for an input length 25
-sha1-digest: 25a9df47bd055384a9ee614c1dc7213c04f2087c
-computed in: 147.234881 seconds
-Checking SHA1(CpQWXXRNlXIoSZNxmXUwWHqmUAdlOrDyZPzzOhznlpGntrUgvktlZ) for an input length 53
-sha1-digest: f2bde6574d8f6aa360929f6a5f919700b16e093b
-computed in: 147.154393 seconds
-Checking SHA1(busWigrVdsXnkjTh) for an input length 16
-sha1-digest: fe47568d433278a38a4729f7891d03eaacdb0e40
-computed in: 147.465694 seconds
+Checking SHA1(yozulCBAPuFosqTBMwPTVmvQvmfhGFJjdtSSiemdytn) for an input length 43
+sha1-digest: aa1871c2d560221e14f18b43d559aafc4920d9bc
+computed in: 93.844131 seconds
+Checking SHA1(HwXFZxXUGckiuWysDtrpIijiRwRGPJZPGaNpJMlfbPptfNhzKOXZMiZnoLlaRCXqK) for an input length 65
+sha1-digest: 8555e05fc2396a3b291e983901bdfa02cb454a72
+computed in: 181.812173 seconds
+Checking SHA1(am) for an input length 2
+sha1-digest: 96e8155732e8324ae26f64d4516eb6fe696ac84f
+computed in: 91.206739 seconds
+Checking SHA1(OTzaWtYfzqKyTHIgBSlmI) for an input length 21
+sha1-digest: c76426dbecb3afd015b132e0e44a1b4d0fc664cb
+computed in: 91.182635 seconds
+Checking SHA1(MBwAxKkvLOUzXkHILdVchwjfcUTlofyQdSqaonqcXvRVVwEJpmaGKOsNDCUGkt) for an input length 62
+sha1-digest: 2231cecd803a9000c117a2f2d3ea35f70ecf6fce
+computed in: 179.300580 seconds
+Checking SHA1(iqObpuNHZXKztrUZYrpmAPjFflNLacYyUTBLZdbjbPcjbLOseIKqZNYCbsoaDuwvgbvfWE) for an input length 70
+sha1-digest: 87cdf7a7f984ef5843d0cfc95a69eaef3e82e31b
+computed in: 182.332336 seconds
+Checking SHA1(nPIZWXYUXOerncJAeBQrcPhuHsXbYcQkKMRoAGzxFZjBXWvproNcHlHIFNNGzQChEVjZvsEmSOpQuoihPgudlqizwAfXzgU) for an input length 95
+sha1-digest: 601db1e338e8b817f5309c7c3bf89450d70425a1
+computed in: 182.233933 seconds
+Checking SHA1(SfUDDjhLqcmifCpLlqnUZKFjwtPjfCrpdRChUWypdrhdDTjizF) for an input length 50
+sha1-digest: 8c57e70e92af96c6df5aecb4f3740e68b0686883
+computed in: 91.378782 seconds
+Checking SHA1(VePVJXHljlLpkThrANZaEkkbYoFZVdSFFsvVkQPDlrwyisOIZqAUhGwHYYhxnFjOrUgFV) for an input length 69
+sha1-digest: b54a98dc0f74b50669a5e0c81199a2819e26d3e9
+computed in: 182.419465 seconds
+Checking SHA1(hCOuPvLrBXYhaWLeSnyRxpJZmXyEeTCBdfkgvDwvFIgoVaXNPzHoHkitSvZLosTMEcDpuoLGqeCkuwLmQQLbSibizfPwxp) for an input length 94
+sha1-digest: 19432e37fe0bbc7c5a5c9379ed38c4298d796fe6
+computed in: 182.285430 seconds
+Checking SHA1(IRZuLcbBXJAfgYMuFwGWUXiKgfoWwSAOTOoQiLaZHKwuTbGGsTChMLEdlaRXkIOYUFJRxRyAVHhQbFKyKOFDNairicMm) for an input length 92
+sha1-digest: 4307a80365937a3ff6703763a8f1a759362c35e5
+computed in: 182.162872 seconds
+Checking SHA1(hsTWqDAwjdLiAhmLsnBJJozejydFLcksQmSQVcojeAhdZizXMzjKSAGjQUjRPGZlwGaKnE) for an input length 70
+sha1-digest: 3889e4448d11e9d801608ab3a94378ee8d41aaa0
+computed in: 182.288777 seconds
+Checking SHA1(GihWwpolRavMdWHiNGVlOVsziPqZcYkPEyTmgfbBtwMowfKMipRxADcqqzMBlpCrWEOJpnZQcqAwt) for an input length 77
+sha1-digest: 4b048588c8ec5d1602487124b5232889668f6b6a
+computed in: 182.184901 seconds
+Checking SHA1(GiSbjYHQyEozGliG) for an input length 16
+sha1-digest: dc7a31c2e17ae503c6c808a02c05f8d1ad4b346f
+computed in: 91.260812 seconds
+Checking SHA1(boVGLdzvbKOTYUSErbeSyoiJQMox) for an input length 28
+sha1-digest: 50a40fb6d0362087ed9b6dceda5378c14b96a743
+computed in: 91.119592 seconds
+Checking SHA1(kiaAjFJrzBaRFvSgIzIQdlJZokXGPBpjNRPqEcVDyCFGkxNzeiRNHuSmD) for an input length 57
+sha1-digest: 44e423eaa7616d2a93b235d99b61f76a6f58e236
+computed in: 179.129039 seconds
+Checking SHA1(IylnzdjqldIJGkolzRlJhFz) for an input length 23
+sha1-digest: 463137090865b283801d49d1546ce0dea45f2529
+computed in: 91.211171 seconds
+Checking SHA1(QEyszfMlKJjKIf) for an input length 14
+sha1-digest: 937bfdff3bb97e9037a23bca4055302f97a90eb3
+computed in: 91.124824 seconds
+Checking SHA1(IOTanBIVaq) for an input length 10
+sha1-digest: b8dca6ad5df447549f5a95d4c195b889f5be6069
+computed in: 91.110348 seconds
+Checking SHA1(FiWWroKJVGeMPfmaNKmXdalAyIRLpYJdFgCfBIEMXPDfWR) for an input length 46
+sha1-digest: 84775d2c31df2ab191a0417cf26028f989d2cd9c
+computed in: 91.031444 seconds
 Checking SHA1()
 sha1-digest: da39a3ee5e6b4b0d3255bfef95601890afd80709
-computed in: 147.256297 seconds
+computed in: 91.044046 seconds
 Checking SHA1(The quick brown fox jumps over the lazy dog)
 sha1-digest: 2fd4e1c67a2d28fced849ee1bb76e7391b93eb12
-computed in: 147.697102 seconds
+computed in: 90.971023 seconds
 ```
 
 These results mean that:
-- one block of compression takes about 147 seconds
-- two blocks of compression take about 290 seconds
+- one block of compression takes about 92 seconds
+- two blocks of compression take about 181 seconds
diff --git a/frontends/concrete-python/examples/sha1/sha1.py b/frontends/concrete-python/examples/sha1/sha1.py
index 05a918e54..78be8f698 100755
--- a/frontends/concrete-python/examples/sha1/sha1.py
+++ b/frontends/concrete-python/examples/sha1/sha1.py
@@ -68,6 +68,19 @@ def get_random_string(length):
     return result_str
 
 
+def add_chunked_number(x, y):
+    result = fhe.zeros((32,))
+    carry = 0
+
+    addition = x + y
+    for i in range(32):
+        addition_and_carry = addition[i] + carry
+        carry = addition_and_carry >> 1
+        result[i] = addition_and_carry - (carry * 2)
+
+    return result
+
+
 # FHE functions
 @fhe.module()
 class MyModule:
@@ -105,51 +118,19 @@ class MyModule:
     @staticmethod
     @fhe.function({"x": "encrypted", "y": "encrypted"})
     def add2(x, y):
-        ans = fhe.zeros((32,))
-        cy = 0
-
-        for i in range(32):
-            t = x[i] + y[i] + cy
-            cy, tr = t >= 2, t % 2
-            ans[i] = tr
-
-        return ans
+        return fhe.bits(add_chunked_number(x, y))[0]
 
     @staticmethod
     @fhe.function(
         {"x": "encrypted", "y": "encrypted", "u": "encrypted", "v": "encrypted", "w": "encrypted"}
     )
     def add5(x, y, u, v, w):
-        ans = fhe.zeros((32,))
-        cy = 0
+        result = add_chunked_number(x, y)
+        result = add_chunked_number(result, u)
+        result = add_chunked_number(result, v)
+        result = add_chunked_number(result, w)
 
-        for i in range(32):
-            t = x[i] + y[i] + cy
-            cy, tr = t // 2, t % 2
-            ans[i] = tr
-
-        cy = 0
-
-        for i in range(32):
-            t = ans[i] + u[i] + cy
-            cy, tr = t // 2, t % 2
-            ans[i] = tr
-
-        cy = 0
-
-        for i in range(32):
-            t = ans[i] + v[i] + cy
-            cy, tr = t // 2, t % 2
-            ans[i] = tr
-
-        cy = 0
-
-        for i in range(32):
-            t = ans[i] + w[i] + cy
-            cy, tr = t // 2, t % 2
-            ans[i] = tr
-
-        return ans
+        return fhe.bits(result)[0]
 
 
 # Compilation of the FHE functions
@@ -202,7 +183,6 @@ my_module = MyModule.compile(  # type: ignore
 
 # Split and encrypt on the client side
 def message_schedule_and_split_and_encrypt(chunk):
-
     assert len(chunk) == 64
 
     w = [0] * 80
@@ -239,25 +219,21 @@ def _process_encrypted_chunk_server_side(
 
     for i in range(80):
         if 0 <= i <= 19:
-
             # Do f = d ^ (b & (c ^ d))
             fsplit_enc = my_module.iftern.run(bsplit_enc, csplit_enc, dsplit_enc)
 
             ksplit = split(0x5A827999)
         elif 20 <= i <= 39:
-
             # Do f = b ^ c ^ d
             fsplit_enc = my_module.xor3.run(bsplit_enc, csplit_enc, dsplit_enc)
 
             ksplit = split(0x6ED9EBA1)
         elif 40 <= i <= 59:
-
             # Do f = (b & c) | (b & d) | (c & d)
             fsplit_enc = my_module.maj.run(bsplit_enc, csplit_enc, dsplit_enc)
 
             ksplit = split(0x8F1BBCDC)
         elif 60 <= i <= 79:
-
             # Do f = b ^ c ^ d
             fsplit_enc = my_module.xor3.run(bsplit_enc, csplit_enc, dsplit_enc)
 
@@ -346,7 +322,6 @@ class Sha1Hash:
 
         # Read the rest of the data, 64 bytes at a time
         while len(chunk) == 64:
-
             wsplit_enc = message_schedule_and_split_and_encrypt(chunk)
             self._hsplit_enc = _process_encrypted_chunk_server_side(wsplit_enc, *self._hsplit_enc)
             self._message_byte_length += 64
@@ -390,7 +365,6 @@ class Sha1Hash:
         hsplit_enc = _process_encrypted_chunk_server_side(wsplit_enc, *self._hsplit_enc)
 
         if len(message) != 64:
-
             wsplit_enc = message_schedule_and_split_and_encrypt(message[64:])
             hsplit_enc = _process_encrypted_chunk_server_side(wsplit_enc, *hsplit_enc)
 
@@ -446,12 +420,10 @@ if __name__ == "__main__":
     args = parser.parse_args()
 
     if args.autotest:
-
         filename = "tmp_sha1_test_file.txt"
 
         # Checking random patterns
         for _ in range(20):
-
             string_length = np.random.randint(100)
 
             # Take a random string
@@ -486,7 +458,6 @@ if __name__ == "__main__":
                 "2fd4e1c67a2d28fced849ee1bb76e7391b93eb12",
             ),
         ]:
-
             with open(filename, "w", encoding="utf-8") as file:
                 file.write(f"{hash_input}")
 
@@ -528,7 +499,6 @@ if __name__ == "__main__":
             if os.path.isfile(argument):
                 # An argument is given and it's a valid file. Read it
                 with open(filename, "rb") as data:
-
                     # Show the final digest
                     print_timed_sha1(data)
 
diff --git a/frontends/concrete-python/examples/sha256/sha256.ipynb b/frontends/concrete-python/examples/sha256/sha256.ipynb
new file mode 100644
index 000000000..a873d787c
--- /dev/null
+++ b/frontends/concrete-python/examples/sha256/sha256.ipynb
@@ -0,0 +1,844 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "_FTzVxUkjQno"
+   },
+   "source": [
+    "# SHA-256 Implementation Using Concrete\n",
+    "\n",
+    "In this tutorial, we will explore the implementation of SHA-256, a widely used hashing algorithm, using concrete-python. Details about the algorithm can be found [here](https://en.wikipedia.org/wiki/SHA-2).\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "zXozpJvmcBH1",
+    "outputId": "79dfc00b-10cc-4ffd-d4b9-a10f18d8d01e"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+      "Requirement already satisfied: concrete-python in /usr/local/lib/python3.10/dist-packages (1.0.0)\n",
+      "Requirement already satisfied: numpy>=1.23 in /usr/local/lib/python3.10/dist-packages (from concrete-python) (1.24.3)\n",
+      "Requirement already satisfied: scipy>=1.10 in /usr/local/lib/python3.10/dist-packages (from concrete-python) (1.10.1)\n",
+      "Requirement already satisfied: torch>=1.13 in /usr/local/lib/python3.10/dist-packages (from concrete-python) (2.0.0+cu118)\n",
+      "Requirement already satisfied: networkx>=2.6 in /usr/local/lib/python3.10/dist-packages (from concrete-python) (3.1)\n",
+      "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->concrete-python) (4.5.0)\n",
+      "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->concrete-python) (2.0.0)\n",
+      "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->concrete-python) (1.11.1)\n",
+      "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->concrete-python) (3.1.2)\n",
+      "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.13->concrete-python) (3.12.0)\n",
+      "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.13->concrete-python) (3.25.2)\n",
+      "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.13->concrete-python) (16.0.2)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.13->concrete-python) (2.1.2)\n",
+      "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.13->concrete-python) (1.3.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Uncomment this line to install dependency\n",
+    "# ! pip install concrete-python\n",
+    "\n",
+    "# Required libraries\n",
+    "from concrete import fhe\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "oCfjYazikbm_"
+   },
+   "source": [
+    "## Data Representation\n",
+    "As mentioned in the wiki page, all variables are $32$-bit unsigned integers. Additions should be calculated modulo $2^{32}$.\n",
+    "\n",
+    "While addition of 32-bit numbers are possible in the library, any other operations such modulizing, rotations, and bitwise operations are currently not possible. These operations require a lookup table with 32-bit inputs, but as of writing this tutorial, concrete-python supports up to 16-bit lookup tables. Higher precision lookup tables is still a research challenge in the homomorphic world and such a table would be dificult to compile and store at this moment.\n",
+    "\n",
+    "Thus, we need to break all the variables to **chunks** and work at the chunk level. Throughtout the code, *WIDTH* refers to the bitwidth of a chunk, and *NUM_CHUNKS* shows the number of chunks we need to represent a 32-bit data. These parameters are set at the begining of the code. We vary these parameters to see the impact of the *WIDTH* on the performance of the compiler and the circuit.\n",
+    "\n",
+    "![chunks.jpg](data:image/jpeg;base64,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+    "\n",
+    "Figure 1: Shows a break down of 32 bit of data into 4 chunks of 8 bit. This is not the only way to chunk the input."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "id": "yaz8cNzjQ1UW"
+   },
+   "outputs": [],
+   "source": [
+    "# Bitwidth of each chunk and number of chunks in each 32-bit number.\n",
+    "WIDTH, NUM_CHUNKS = 4, 8\n",
+    "\n",
+    "## Some other valid parameter sets\n",
+    "# WIDTH, NUM_CHUNKS= 8, 4\n",
+    "# WIDTH, NUM_CHUNKS= 2, 16\n",
+    "\n",
+    "assert WIDTH * NUM_CHUNKS == 32\n",
+    "\n",
+    "\n",
+    "def break_down_data(data, data_size):\n",
+    "    all_chunks = [\n",
+    "        [(x >> i * WIDTH) % (2**WIDTH) for i in range(data_size // WIDTH)[::-1]] for x in data\n",
+    "    ]\n",
+    "    return all_chunks\n",
+    "\n",
+    "\n",
+    "def reshape_data(data):\n",
+    "    return np.array(data).reshape(-1, NUM_CHUNKS)\n",
+    "\n",
+    "\n",
+    "def chunks_to_uint32(chunks):\n",
+    "    return int(sum([2 ** ((NUM_CHUNKS - 1 - i) * WIDTH) * x for i, x in enumerate(chunks)]))\n",
+    "\n",
+    "\n",
+    "def chunks_to_hexarray(chunks):\n",
+    "    hexes = [hex(chunks_to_uint32(word))[2:] for word in chunks]\n",
+    "    hexes = [\n",
+    "        \"0\" * (8 - len(y)) + y for y in hexes\n",
+    "    ]  # Appending leadning zero to the ones that are less than 8 characters TODO: write better\n",
+    "    result = \"\".join(hexes)\n",
+    "    return result"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "u7pA-B3As9u4"
+   },
+   "source": [
+    "### Creating Chunks\n",
+    "There are two list of constants in the algorithm, K and H. Before executing the algorithm, we need to break them to chunks using `split_to_chunks` function.\n",
+    "\n",
+    "\n",
+    "The input of the algorithm is arbitrary bytes. We might need to break each byte to smaller chunks based on the value of *WIDTH* after padding the data as per instructed by the algorithm. `break_down_data` function returns a numpy array of shape (48,NUM_CHUNKS)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "b8rlvVf42CIa"
+   },
+   "source": [
+    "## Operations\n",
+    "Now that the data is stores as chunks, we must modify all operations we need to work at the level of chunks. In this section we explain how we implemented the required operations. The main three category of operations that we need to implement SHA-256 are:\n",
+    "\n",
+    "*   Bitwise operations (AND, OR, XOR, NEGATE)\n",
+    "*   Shifts and Rotations\n",
+    "*   Modular Addition "
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "zlM1RN-NnjDn"
+   },
+   "source": [
+    "### Bitwise Operations\n",
+    "Bitwise operations are easily implemented in concrete-numpy. A bitwise operation over a 32-bit number is equivalent to the same operation over the chunks."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "CxCwJOao2KCt"
+   },
+   "source": [
+    "### Rotation and Shifts\n",
+    "To understand how rotations work, consider a small example with 4 chunks of width 4, representing a 16-bit number, as shown in Figure 1. Most significant bits are located at index 0. So a 16-bit number will be `[[chunk_0], [chunk_1], [chunk_2], [chunk_3]]` with WIDTH=4. There are two possible scenario for rotations:\n",
+    "\n",
+    "1. Any rotation by a multiple of WIDTH (in this case, 4) will result in rotating the array of chunks. For example, right rotate(4) will be `[[chunk_3], [chunk_0], [chunk_1], [chunk_2]]`.\n",
+    "\n",
+    "2. For rotations less than WIDTH, for example `y`, we break every chunk into two parts of bitlength, `WIDTH-y` and `y`. We need to add the low `y`-bits of each chunk with the high `WIDTH-y` bits of the next chunk. Figure 2 illustrated this process. We leverage two lookup tables to extract the two segments of each chunk.\n",
+    "<!-- `table_extract_low_bits_and_raise` extracts the low `y`-bits of each chunk and places them in the MSB of the chunk. `table_extract_high_bits` extracts WIDTH-y most significant bits of each chunk. -->\n",
+    "\n",
+    "3. Rotations by other amounts are broken into the two steps described above.\n",
+    "\n",
+    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+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "575ogsJhFDIo"
+   },
+   "source": [
+    "### Shift\n",
+    "The shift operation is the same as rotation, but we prepend the encrypted scalar zero when we move the bits to the right."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "id": "TRAFRZime-Jv"
+   },
+   "outputs": [],
+   "source": [
+    "def right_rotate_list_of_chunks(list_to_rotate, amount):\n",
+    "    return np.concatenate((list_to_rotate[-amount:], list_to_rotate[:-amount]))\n",
+    "\n",
+    "\n",
+    "def right_shift_list_of_chunks(list_to_rotate, amount):\n",
+    "    return np.concatenate(([0] * list_to_rotate[-amount:].shape[0], list_to_rotate[:-amount]))\n",
+    "\n",
+    "\n",
+    "def left_shift_list_of_chunks(list_to_rotate, amount):\n",
+    "    return np.concatenate((list_to_rotate[amount:], [0] * list_to_rotate[:amount].shape[0]))\n",
+    "\n",
+    "\n",
+    "def rotate_less_than_width(chunks, shift):\n",
+    "    raised_low_bits = fhe.univariate(lambda x: (x % 2**shift) << (WIDTH - shift))(chunks)\n",
+    "    shifted_raised_low_bits = right_rotate_list_of_chunks(raised_low_bits, 1)\n",
+    "\n",
+    "    high_bits = chunks >> shift\n",
+    "    return shifted_raised_low_bits + high_bits\n",
+    "\n",
+    "\n",
+    "def right_rotate(chunks, rotate_amount):\n",
+    "    x = rotate_amount // WIDTH\n",
+    "    y = rotate_amount % WIDTH\n",
+    "    if x != 0:\n",
+    "        rotated_chunks = right_rotate_list_of_chunks(chunks, x)\n",
+    "    else:\n",
+    "        rotated_chunks = chunks\n",
+    "    if y != 0:\n",
+    "        rotated = rotate_less_than_width(rotated_chunks, y)\n",
+    "    else:\n",
+    "        rotated = rotated_chunks\n",
+    "\n",
+    "    return rotated\n",
+    "\n",
+    "\n",
+    "def right_shift(chunks, shift_amount):\n",
+    "    x = shift_amount // WIDTH\n",
+    "    y = shift_amount % WIDTH\n",
+    "    if x != 0:\n",
+    "        shifted_chunks = right_shift_list_of_chunks(chunks, x)\n",
+    "    else:\n",
+    "        shifted_chunks = chunks\n",
+    "    if y != 0:\n",
+    "        # shift within chunks\n",
+    "        raised_low_bits = fhe.univariate(lambda x: (x % 2**y) << (WIDTH - y))(shifted_chunks)\n",
+    "        shifted_raised_low_bits = right_shift_list_of_chunks(raised_low_bits, 1)\n",
+    "        high_bits = shifted_chunks >> y\n",
+    "        result = shifted_raised_low_bits + high_bits\n",
+    "    else:\n",
+    "        result = shifted_chunks\n",
+    "    return result"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "SKg8mKFOPXSV"
+   },
+   "source": [
+    "### Modular 32-bit Addition\n",
+    "Modular 32-bit addition is frequently used in SHA256. While Concrete supports additions of 32-bit numbers, modulizing the result requires a lookup table which is too large for Concrete. Hence, the addition must be done over chunks.\n",
+    "\n",
+    "Below is the function to add two 32-bit numbers mod $2^{32}$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "id": "EJEPvp2wQms9"
+   },
+   "outputs": [],
+   "source": [
+    "def add_two_32_bits(a, b):\n",
+    "    added = np.sum([a, b], axis=0)\n",
+    "\n",
+    "    for i in range(NUM_CHUNKS):\n",
+    "        results = added % (2**WIDTH)\n",
+    "        if i < NUM_CHUNKS - 1:\n",
+    "            carries = added >> WIDTH\n",
+    "            added = left_shift_list_of_chunks(carries, 1) + results\n",
+    "\n",
+    "    return results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "id": "Uo6o_QMQn_fw"
+   },
+   "outputs": [],
+   "source": [
+    "# Testing the addition function, adding four 32-bit numbers\n",
+    "test_inputs = np.random.randint(0, 2**32, size=(2,))\n",
+    "input_chunks = break_down_data(test_inputs, 32)\n",
+    "\n",
+    "assert chunks_to_uint32(add_two_32_bits(input_chunks[0], input_chunks[1])) == np.sum(\n",
+    "    test_inputs\n",
+    ") % (2**32)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "IOr8DTRJRYTl"
+   },
+   "source": [
+    "Adding two 4-bit numbers results in a 5-bit number. We then use two lookup tables:\n",
+    "\n",
+    "*   `extract_carry` which extracts the carry of adding two chunks\n",
+    "*   `extract_result` which extracts the 4-bit chunk which results from adding two chunks (without the carry)\n",
+    "\n",
+    "Each carry must now be added to the chunk next chunk and this process is repeated for as many chunks as there are. The figure below illustrates this process.\n",
+    "\n",
+    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)\n",
+    "\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "4-dQk0wbtPOe"
+   },
+   "source": [
+    "The benefit of this addition algorithm is that it can be extended to the case where more two 32-bit numbers are added. The only difference is that the carry from the first iteration of the loop can be larger than 1. Specifically, by adding $k$ 4-bit numbers, the carry can be as big as $\\log_2 k$. For correctness, $\\log_2 k$ must be less than 4 or $k<16$.\n",
+    "\n",
+    "In our implementation of SHA-256, we only have two input and four input additions, so we only implement those.\n",
+    "\n",
+    "For four input addition, he first iteration of the loop, we use a different lookup table that extract a 2-bit carry and rest of the chunk. The rest of the algorithm does not change."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "id": "obO8wHRbXHfj"
+   },
+   "outputs": [],
+   "source": [
+    "def add_four_32_bits(a, b, c, d):\n",
+    "    added = np.sum([a, b, c, d], axis=0)\n",
+    "\n",
+    "    # First iteration of the loop is seperated\n",
+    "    carries = added >> WIDTH\n",
+    "    results = added % (2**WIDTH)\n",
+    "    shifted_carries = left_shift_list_of_chunks(carries, 1)\n",
+    "    added = shifted_carries + results\n",
+    "\n",
+    "    for i in range(1, NUM_CHUNKS):\n",
+    "        results = added % (2**WIDTH)\n",
+    "\n",
+    "        # In the last iteration, carries need not be calculated\n",
+    "        if i != NUM_CHUNKS - 1:\n",
+    "            carries = added >> WIDTH\n",
+    "            shifted_carries = left_shift_list_of_chunks(carries, 1)\n",
+    "            added = shifted_carries + results\n",
+    "\n",
+    "    return results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "id": "zcwnDdPFdqE1"
+   },
+   "outputs": [],
+   "source": [
+    "# Testing the addition function, adding four 32-bit numbers\n",
+    "\n",
+    "for _ in range(1000):\n",
+    "    test_inputs = np.random.randint(0, 2**32, size=(4,))\n",
+    "    input_chunks = break_down_data(test_inputs, 32)\n",
+    "\n",
+    "    assert chunks_to_uint32(\n",
+    "        add_four_32_bits(input_chunks[0], input_chunks[1], input_chunks[2], input_chunks[3])\n",
+    "    ) == np.sum(test_inputs) % (2**32)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "1g6eEdhGoJl9"
+   },
+   "source": [
+    "## Operations for SHA-256\n",
+    "\n",
+    "Using the basic operations from the previous section, we can now implement all the necessary functions for SHA256"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "id": "uo7HfO1DpVFK"
+   },
+   "outputs": [],
+   "source": [
+    "# Used in the expansion\n",
+    "\n",
+    "\n",
+    "def s0(w):\n",
+    "    return right_rotate(w, 7) ^ right_rotate(w, 18) ^ right_shift(w, 3)\n",
+    "\n",
+    "\n",
+    "def s1(w):\n",
+    "    return right_rotate(w, 17) ^ right_rotate(w, 19) ^ right_shift(w, 10)\n",
+    "\n",
+    "\n",
+    "# Used in main loop\n",
+    "\n",
+    "\n",
+    "def S0(a_word):\n",
+    "    return right_rotate(a_word, 2) ^ right_rotate(a_word, 13) ^ right_rotate(a_word, 22)\n",
+    "\n",
+    "\n",
+    "def S1(e_word):\n",
+    "    return right_rotate(e_word, 6) ^ right_rotate(e_word, 11) ^ right_rotate(e_word, 25)\n",
+    "\n",
+    "\n",
+    "def Ch(e_word, f_word, g_word):\n",
+    "    return (e_word & f_word) ^ ((2**WIDTH - 1 - e_word) & g_word)\n",
+    "\n",
+    "\n",
+    "def Maj(a_word, b_word, c_word):\n",
+    "    return (a_word & b_word) ^ (a_word & c_word) ^ (b_word & c_word)\n",
+    "\n",
+    "\n",
+    "def main_loop(args, w_i_plus_k_i):\n",
+    "    a, b, c, d, e, f, g, h = args\n",
+    "    temp1 = add_four_32_bits(h, S1(e), Ch(e, f, g), w_i_plus_k_i)\n",
+    "    temp2 = add_two_32_bits(S0(a), Maj(a, b, c))\n",
+    "    new_a = add_two_32_bits(temp1, temp2)\n",
+    "    new_e = add_two_32_bits(d, temp1)\n",
+    "    return np.array([new_a, a, b, c, new_e, e, f, g])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "biM997KmvwUL"
+   },
+   "source": [
+    "We also need a function to pad the input as the first step of SHA256."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "fZ-3sEH5vopA"
+   },
+   "source": [
+    "Moreover, we need a function to parse the input given to the program. The input is given as bytes, but the chunks might be smaller. We extract smaller chunks from bytes using lookup tables."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "L4leg-z_skkU"
+   },
+   "source": [
+    "## Bringing it all together\n",
+    "Using all the components from the above, we can implement SHA256 as shown below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "id": "tmSfvdpyrwUx"
+   },
+   "outputs": [],
+   "source": [
+    "K = [\n",
+    "    0x428A2F98,\n",
+    "    0x71374491,\n",
+    "    0xB5C0FBCF,\n",
+    "    0xE9B5DBA5,\n",
+    "    0x3956C25B,\n",
+    "    0x59F111F1,\n",
+    "    0x923F82A4,\n",
+    "    0xAB1C5ED5,\n",
+    "    0xD807AA98,\n",
+    "    0x12835B01,\n",
+    "    0x243185BE,\n",
+    "    0x550C7DC3,\n",
+    "    0x72BE5D74,\n",
+    "    0x80DEB1FE,\n",
+    "    0x9BDC06A7,\n",
+    "    0xC19BF174,\n",
+    "    0xE49B69C1,\n",
+    "    0xEFBE4786,\n",
+    "    0x0FC19DC6,\n",
+    "    0x240CA1CC,\n",
+    "    0x2DE92C6F,\n",
+    "    0x4A7484AA,\n",
+    "    0x5CB0A9DC,\n",
+    "    0x76F988DA,\n",
+    "    0x983E5152,\n",
+    "    0xA831C66D,\n",
+    "    0xB00327C8,\n",
+    "    0xBF597FC7,\n",
+    "    0xC6E00BF3,\n",
+    "    0xD5A79147,\n",
+    "    0x06CA6351,\n",
+    "    0x14292967,\n",
+    "    0x27B70A85,\n",
+    "    0x2E1B2138,\n",
+    "    0x4D2C6DFC,\n",
+    "    0x53380D13,\n",
+    "    0x650A7354,\n",
+    "    0x766A0ABB,\n",
+    "    0x81C2C92E,\n",
+    "    0x92722C85,\n",
+    "    0xA2BFE8A1,\n",
+    "    0xA81A664B,\n",
+    "    0xC24B8B70,\n",
+    "    0xC76C51A3,\n",
+    "    0xD192E819,\n",
+    "    0xD6990624,\n",
+    "    0xF40E3585,\n",
+    "    0x106AA070,\n",
+    "    0x19A4C116,\n",
+    "    0x1E376C08,\n",
+    "    0x2748774C,\n",
+    "    0x34B0BCB5,\n",
+    "    0x391C0CB3,\n",
+    "    0x4ED8AA4A,\n",
+    "    0x5B9CCA4F,\n",
+    "    0x682E6FF3,\n",
+    "    0x748F82EE,\n",
+    "    0x78A5636F,\n",
+    "    0x84C87814,\n",
+    "    0x8CC70208,\n",
+    "    0x90BEFFFA,\n",
+    "    0xA4506CEB,\n",
+    "    0xBEF9A3F7,\n",
+    "    0xC67178F2,\n",
+    "]\n",
+    "H = [0x6A09E667, 0xBB67AE85, 0x3C6EF372, 0xA54FF53A, 0x510E527F, 0x9B05688C, 0x1F83D9AB, 0x5BE0CD19]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "id": "NHGCiC-Gk_tw"
+   },
+   "outputs": [],
+   "source": [
+    "k_in = reshape_data(break_down_data(K, 32))\n",
+    "h_in = reshape_data(break_down_data(H, 32))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "id": "yTiMkmBsHmKy"
+   },
+   "outputs": [],
+   "source": [
+    "def uint64_to_bin(uint64: int):\n",
+    "    return \"\".join([str(uint64 >> i & 1) for i in range(63, -1, -1)])\n",
+    "\n",
+    "\n",
+    "def sha256_preprocess(text):\n",
+    "    \"\"\"\n",
+    "    Takes a message of arbitrary length and returns a message\n",
+    "    of length that is a multiple of 512 bits, with the original message padded\n",
+    "    with a 1 bit, followed by 0 bits, followed by the original message length\n",
+    "    in bits\n",
+    "    \"\"\"\n",
+    "    data = text\n",
+    "    # convert to uint4 and group into 32 bit words (8 uint4s)\n",
+    "    # #log (\"data is:\", data, data.shape)\n",
+    "    message_len = data.shape[0] * 8  # denoted as 'l' in spec\n",
+    "    # find padding length 'k'\n",
+    "    k = (((448 - 1 - message_len) % 512) + 512) % 512\n",
+    "    # #log (\"k is:\", k)\n",
+    "    zero_pad_width_in_bits = k\n",
+    "    padstring = \"1\" + \"0\" * zero_pad_width_in_bits + str(uint64_to_bin(message_len))\n",
+    "    # log (\"padstring size:\", len(padstring))\n",
+    "    # log (\"padstring is:\", padstring)\n",
+    "\n",
+    "    total_size = len(padstring) + message_len\n",
+    "    # log (\"total size:\", total_size)\n",
+    "    assert total_size % 512 == 0\n",
+    "\n",
+    "    pad = np.array(\n",
+    "        [int(padstring[i : i + 8], 2) for i in range(0, len(padstring), 8)], dtype=np.uint8\n",
+    "    )\n",
+    "    padded = np.concatenate((data, pad))\n",
+    "    words = break_down_data(padded, 8)\n",
+    "    chunks = reshape_data(words)\n",
+    "    return chunks"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "id": "3ox6Zs-ysoLr"
+   },
+   "outputs": [],
+   "source": [
+    "# Number of rounds must be 64 to have correct SHA256\n",
+    "# If looking to get a faster run, reduce the number of rounds (but it will not be correct)\n",
+    "\n",
+    "\n",
+    "def sha256(data, number_of_rounds=64):\n",
+    "    h_chunks = fhe.zeros((len(h_in), NUM_CHUNKS))\n",
+    "    k_chunks = fhe.zeros((len(k_in), NUM_CHUNKS))\n",
+    "    h_chunks += h_in\n",
+    "    k_chunks += k_in\n",
+    "\n",
+    "    num_of_iters = data.shape[0] * 32 // 512\n",
+    "    for chunk_iter in range(0, num_of_iters):\n",
+    "\n",
+    "        # Initializing the variables\n",
+    "        chunk = data[chunk_iter * 16 : (chunk_iter + 1) * 16]\n",
+    "        w = [None for _ in range(number_of_rounds)]\n",
+    "        # Starting the main loop and expansion\n",
+    "        working_vars = h_chunks\n",
+    "        for j in range(0, number_of_rounds):\n",
+    "            if j < 16:\n",
+    "                w[j] = chunk[j]\n",
+    "            else:\n",
+    "                w[j] = add_four_32_bits(w[j - 16], s0(w[j - 15]), w[j - 7], s1(w[j - 2]))\n",
+    "            w_i_k_i = add_two_32_bits(w[j], k_chunks[j])\n",
+    "            working_vars = main_loop(working_vars, w_i_k_i)\n",
+    "\n",
+    "        # Accumulating the results\n",
+    "        for j in range(8):\n",
+    "            h_chunks[j] = add_two_32_bits(h_chunks[j], working_vars[j])\n",
+    "    return h_chunks"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "w89rhSOh4In2"
+   },
+   "source": [
+    "We can test the correctness of this function as below (this is not in encrypted form yet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "006LZp7c0yBA",
+    "outputId": "31588127-23e9-4b49-e481-d14842e336e7"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "    SHA256: a412c46b0be134c593b0ad520d4a4c4e1d8aecca799be0be2c4d233ccf455cb7\n",
+      "Our SHA256: a412c46b0be134c593b0ad520d4a4c4e1d8aecca799be0be2c4d233ccf455cb7\n",
+      "Match: True\n"
+     ]
+    }
+   ],
+   "source": [
+    "import hashlib\n",
+    "\n",
+    "text = (\n",
+    "    b\"Lorem ipsum dolor sit amet, consectetur adipiscing elit. \"\n",
+    "    b\"Curabitur bibendum, urna eu bibendum egestas, neque augue eleifend odio, et sagittis viverra. and more than 150\"\n",
+    ")\n",
+    "\n",
+    "result = sha256(sha256_preprocess(np.frombuffer(text, dtype=np.uint8)))\n",
+    "\n",
+    "m = hashlib.sha256()\n",
+    "m.update(text)\n",
+    "\n",
+    "print(\"    SHA256:\", m.hexdigest())\n",
+    "print(\"Our SHA256:\", chunks_to_hexarray(result))\n",
+    "print(\"Match:\", chunks_to_hexarray(result) == m.hexdigest())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "id": "1uHN9GXgla_z"
+   },
+   "outputs": [],
+   "source": [
+    "class HomomorphicSHA:\n",
+    "    circuit: fhe.Circuit\n",
+    "\n",
+    "    def __init__(self, input_size_in_bytes=150, number_of_rounds=64) -> None:\n",
+    "        self.input_size_in_bytes = input_size_in_bytes\n",
+    "        assert 0 <= number_of_rounds <= 64, \"Number of rounds must be betweem zero and 64\"\n",
+    "        self.number_of_rounds = number_of_rounds\n",
+    "        inputset = [\n",
+    "            sha256_preprocess(np.random.randint(0, 2**8, size=(input_size_in_bytes,)))\n",
+    "            for _ in range(100)\n",
+    "        ]\n",
+    "        # Compilation of the circuit should take a few minutes\n",
+    "        compiler = fhe.Compiler(\n",
+    "            lambda data: sha256(data, self.number_of_rounds), {\"data\": \"encrypted\"}\n",
+    "        )\n",
+    "        self.circuit = compiler.compile(\n",
+    "            inputset=inputset,\n",
+    "            configuration=fhe.Configuration(\n",
+    "                enable_unsafe_features=True,\n",
+    "                use_insecure_key_cache=True,\n",
+    "                insecure_key_cache_location=\".keys\",\n",
+    "                dataflow_parallelize=True,\n",
+    "            ),\n",
+    "            verbose=False,\n",
+    "        )\n",
+    "\n",
+    "    def getSHA(self, data):\n",
+    "        assert (\n",
+    "            len(data) == self.input_size_in_bytes\n",
+    "        ), f\"Input size is not correct, should be {self.input_size_in_bytes} bytes/characters\"\n",
+    "        return self.circuit.encrypt_run_decrypt(sha256_preprocess(data))\n",
+    "\n",
+    "    def getPlainSHA(self, data):\n",
+    "        return sha256(sha256_preprocess(data), self.number_of_rounds)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "SpxY6dScee-k"
+   },
+   "source": [
+    "Now we are ready to compile the circuit! Note that **the compilation will take a long time**, so if you are looking to get a test run, you can set the number of rounds to something smaller than 64."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "id": "P0cMOZUGee-k"
+   },
+   "outputs": [],
+   "source": [
+    "# Warning: This will compile the circuit and will take a few minutes\n",
+    "\n",
+    "input_size_in_bytes = 150\n",
+    "running_small_example = True\n",
+    "\n",
+    "if running_small_example:\n",
+    "    number_of_rounds = 2\n",
+    "    sha = HomomorphicSHA(input_size_in_bytes, number_of_rounds)\n",
+    "else:\n",
+    "    sha = HomomorphicSHA(input_size_in_bytes)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "zz1rd7VWee-k"
+   },
+   "source": [
+    "And after compilation, we are ready to run the circuit. Remember that the input size has to match what you gave in the previous cell. Our function will check this first to make sure the input is of the correct size. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "EkF0UxTcv_cQ",
+    "outputId": "c4e2c710-02bc-40e2-a921-4a29ac88380b"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "This cell is disabled. It can takes hours. If you want to run this cell, set accept_a_very_long_run=True\n"
+     ]
+    }
+   ],
+   "source": [
+    "# WARNING: This takes a LONG time\n",
+    "accept_a_very_long_run = False\n",
+    "if not accept_a_very_long_run:\n",
+    "    print(\n",
+    "        \"This cell is disabled. It can takes hours. If you want to run this cell, set accept_a_very_long_run=True\"\n",
+    "    )\n",
+    "else:\n",
+    "    text = (\n",
+    "        b\"Lorem ipsum dolor sit amet, consectetur adipiscing elit. \"\n",
+    "        b\"Curabitur bibendum, urna eu bibendum egestas, neque augue eleifend odio, et sagittis viverra.\"\n",
+    "    )\n",
+    "    input_bytes = np.frombuffer(text, dtype=np.uint8)\n",
+    "    encrypted_evaluation = sha.getSHA(input_bytes)\n",
+    "\n",
+    "    print(\"Encrypted Evaluation: \", chunks_to_hexarray(encrypted_evaluation))\n",
+    "    print(\"    Plain Evaluation: \", chunks_to_hexarray(sha.getPlainSHA(input_bytes)))"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3.10.7 64-bit",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.7"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/frontends/concrete-python/examples/xor_distance/xor_distance.md b/frontends/concrete-python/examples/xor_distance/README.md
similarity index 72%
rename from frontends/concrete-python/examples/xor_distance/xor_distance.md
rename to frontends/concrete-python/examples/xor_distance/README.md
index 578fdc361..240f69ecf 100644
--- a/frontends/concrete-python/examples/xor_distance/xor_distance.md
+++ b/frontends/concrete-python/examples/xor_distance/README.md
@@ -4,8 +4,11 @@ We describe how to compute a XOR distance (as known as an Hamming weight distanc
 can be useful in particular for biometry use-cases, where obviously, private is a very interesting
 feature.
 
-The full code can be done [here](hamming_distance.py). Execution times of the different functions are given in the
-final section.
+We present the XOR distance in two contexts, with corresponding codes:
+- the XOR distance between [two encrypted tensors](hamming_distance.py)
+- the XOR distance between [one encrypted tensor and one clear tensor](hamming_distance_to_clear.py)
+
+Execution times of the different functions are given in the different sections.
 
 ## The Goal
 
@@ -34,7 +37,9 @@ This is a distance function, which can be used for various purpose, including me
 vectors are close to each other. In the context of biometry (or others), it may be very interesting
 to compute this function over encrypted `x` and `y` vectors.
 
-## First Implementation
+## Distance Between Two Encrypted Tensors
+
+### First Implementation
 
 In the [full code](hamming_distance.py), we use a first implementation, which is
 
@@ -45,7 +50,7 @@ def dist_in_fhe_directly_from_cp(x, y):
 
 Here, it's a pure copy of the code in Concrete, and it compiles directly into FHE code!
 
-## Second Implementation with `fhe.bits`
+### Second Implementation with `fhe.bits`
 
 In the [full code](hamming_distance.py), we use a second implementation, which is
 
@@ -60,7 +65,7 @@ This function only works for bit-vectors `x` and `y` (as opposed to other functi
 `fhe.bits` operator to extract the least-significant bit of the addition `x+y`: indeed, this least
 signification bit is exactly `x ^ y`.
 
-## Third Implementation with Concatenation
+### Third Implementation with Concatenation
 
 In the [full code](hamming_distance.py), we use a third implementation, which is
 
@@ -78,7 +83,7 @@ def dist_in_fhe_with_xor_internal(x, y, bitsize_w):
 Here, we concatenate the elements of `x` and `y` (which are of bitsize `bitsize_w`) into a
 `2 * bitsize_w` input, and use a `2 * bitsize_w`-bit programmable bootstrapping.
 
-## Fourth Implementation with `fhe.multivariate`
+### Fourth Implementation with `fhe.multivariate`
 
 In the [full code](hamming_distance.py), we use a fourth implementation, which is
 
@@ -90,7 +95,7 @@ def dist_in_fhe_with_multivariate_internal(x, y):
 
 Here, we use `fhe.multivariate`, which is a function which takes the two inputs `x` and `y`. Under the hood, it's going to be replaced by a `2 * bitsize_w`-bit programmable bootstrapping.
 
-## Execution Time
+### Execution Time Between Two Encrypted Tensors
 
 _All of the following timings were measured on an `hpc7a` machine, with Concrete 2.5.1._
 
@@ -151,3 +156,30 @@ And finally, for 12804-bit vectors, execution times should be:
     dist_in_fhe_with_multivariate_tables on 4 bits: 40.89 seconds
 ```
 
+## Distance Between One Encrypted Tensor and One Clear Tensor
+
+In [this code](hamming_distance_to_clear.py), we propose a simple implementation for the special case
+where one of the vectors (here, `y`) is not encrypted. The function `dist_in_fhe` is based on the
+following idea: `x` is seen as a line-vector of bits, while `y` is seen as a column-vector of bits.
+`x` and `y` follow a simple transform (before the encryption): bits 0 are mapped to -1, while bits 1
+are mapped to 1. Then we just compute the scalar product `u` between mapped `x` and `y`.
+
+Bits which are equal between mapped `x` and `y` will be either (1, 1) or (-1, -1) so corresponding
+impact on the sum of the scalar multiplication is a 1. On the opposite, for bits which are different,
+so (1, -1) or (-1, 1), the impact on the sum of the scalar multiplication is a -1. All in all,
+`u = n - 2 HW(x^y)`, where `n` is the number of bits of `x` (which is the number of bits of `y` too).
+
+In the code, we compute `n - u`, and we divide by 2 after the decryption, which doesn't reduce the
+privacy of the computation.
+
+### Execution Time Between One Encrypted Tensor and One Clear Tensor
+
+This case is really fast, since there is no programmable bootstrapping (PBS) in the code. It's a
+purely levelled FHE circuit.
+
+For 12804-bit vectors, on an `hpc7a` machine, with Concrete 2.7.0, we have:
+
+```
+Computing XOR distance on 12804 bits using algorithm dist_in_fhe, using vectors of 1b cells
+Distance between encrypted vectors done in 0.43 seconds in average
+```
diff --git a/frontends/concrete-python/examples/xor_distance/hamming_distance_to_clear.py b/frontends/concrete-python/examples/xor_distance/hamming_distance_to_clear.py
new file mode 100644
index 000000000..5cda5cee7
--- /dev/null
+++ b/frontends/concrete-python/examples/xor_distance/hamming_distance_to_clear.py
@@ -0,0 +1,169 @@
+import argparse
+import time
+
+import numpy as np
+
+from concrete import fhe
+
+# Hamming weight computation
+hw_table_values = [np.binary_repr(x).count("1") for x in range(2**8)]
+
+# fmt: off
+assert np.array_equal(hw_table_values, [
+    0, 1, 1, 2, 1, 2, 2, 3, 1, 2, 2, 3, 2, 3, 3, 4, 1, 2, 2, 3, 2, 3, 3, 4, 2, 3, 3,
+    4, 3, 4, 4, 5, 1, 2, 2, 3, 2, 3, 3, 4, 2, 3, 3, 4, 3, 4, 4, 5, 2, 3, 3, 4, 3, 4,
+    4, 5, 3, 4, 4, 5, 4, 5, 5, 6, 1, 2, 2, 3, 2, 3, 3, 4, 2, 3, 3, 4, 3, 4, 4, 5, 2,
+    3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6, 2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5,
+    4, 5, 5, 6, 3, 4, 4, 5, 4, 5, 5, 6, 4, 5, 5, 6, 5, 6, 6, 7, 1, 2, 2, 3, 2, 3, 3,
+    4, 2, 3, 3, 4, 3, 4, 4, 5, 2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6, 2, 3,
+    3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6, 3, 4, 4, 5, 4, 5, 5, 6, 4, 5, 5, 6, 5,
+    6, 6, 7, 2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6, 3, 4, 4, 5, 4, 5, 5, 6,
+    4, 5, 5, 6, 5, 6, 6, 7, 3, 4, 4, 5, 4, 5, 5, 6, 4, 5, 5, 6, 5, 6, 6, 7, 4, 5, 5,
+    6, 5, 6, 6, 7, 5, 6, 6, 7, 6, 7, 7, 8]
+)
+# fmt: on
+
+hw = fhe.LookupTable(hw_table_values)
+
+
+def mapme(x):
+    """Map 0 to -1, and keep 1 as 1."""
+    return 2 * x - 1
+
+
+def dist_in_clear(x, y):
+    """Compute the distance in the clear."""
+    return np.sum(hw[x ^ y])
+
+
+def dist_in_fhe(x_mapped, y_mapped):
+    """Compute the distance in FHE."""
+
+    # x is a line tensor, whose 0's have been replaced by -1
+    # y_clear is a column tensor, whose 0's have been replaced by -1
+    assert x_mapped.ndim == y_mapped.ndim == 2
+    assert x_mapped.shape[0] == y_mapped.shape[1] == 1
+
+    u = np.matmul(x_mapped, y_mapped)[0][0]
+
+    # So, u is a scalar:
+    # - bits which are the same between x and y_clear (either two -1's or two 1's) count for a +1
+    #   in the scalar
+    # - bits which are different between x and y_clear (either (-1, 1) or (1, -1)) count for a -1
+    #   in the scalar
+    # Hence the HW distance is (len(x) - u) / 2
+    final_result = np.prod(x_mapped.shape) - u
+
+    # The result which is returned is the double of the distance, we'll halve this in the clear
+    return final_result
+
+
+def manage_args():
+    """Manage user args."""
+    parser = argparse.ArgumentParser(
+        description="Hamming weight (aka XOR) distance in Concrete, between an encrypted vector "
+        "and a clear vector."
+    )
+    parser.add_argument(
+        "--nb_bits",
+        dest="nb_bits",
+        action="store",
+        type=int,
+        default=120,
+        help="Number of bits (better to be a multiple of 12 to test all bitwidths)",
+    )
+    parser.add_argument(
+        "--show_mlir",
+        dest="show_mlir",
+        action="store_true",
+        help="Show the MLIR",
+    )
+    parser.add_argument(
+        "--repeat",
+        dest="repeat",
+        action="store",
+        type=int,
+        default=5,
+        help="Repeat x times",
+    )
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    """Main function."""
+    print()
+
+    # Options by the user
+    args = manage_args()
+
+    nb_bits = args.nb_bits
+
+    # Info
+    print(
+        f"Computing XOR distance on {nb_bits} bits using algorithm dist_in_fhe, using vectors of "
+        "1b cells"
+    )
+
+    # Compile the circuit
+    inputset = [
+        (
+            mapme(np.random.randint(2**1, size=(1, nb_bits))),
+            mapme(np.transpose(np.random.randint(2**1, size=(1, nb_bits)))),
+        )
+        for _ in range(100)
+    ]
+
+    compiler = fhe.Compiler(dist_in_fhe, {"x_mapped": "encrypted", "y_mapped": "clear"})
+    circuit = compiler.compile(
+        inputset,
+        show_mlir=args.show_mlir,
+        bitwise_strategy_preference=fhe.BitwiseStrategy.ONE_TLU_PROMOTED,
+        multivariate_strategy_preference=fhe.MultivariateStrategy.PROMOTED,
+    )
+
+    # Then generate the keys
+    circuit.keygen()
+
+    total_time = 0
+
+    nb_samples_for_warmup = 10
+
+    # Then use
+    for i in range(nb_samples_for_warmup + args.repeat):
+        # Take a random input pair
+        x, y = (
+            np.random.randint(2**1, size=(1, nb_bits)),
+            np.random.randint(2**1, size=(1, nb_bits)),
+        )
+
+        x_mapped = mapme(x)
+        y_mapped = mapme(np.transpose(y))
+
+        # Encrypt
+        encrypted_input = circuit.encrypt(x_mapped, y_mapped)
+
+        # Compute the distance in FHE
+        begin_time = time.time()
+        encrypted_result = circuit.run(encrypted_input)
+        end_time = time.time()
+
+        # Don't count the warmup samples
+        if i >= nb_samples_for_warmup:
+            total_time += end_time - begin_time
+
+        # Decrypt
+        result = circuit.decrypt(encrypted_result)
+
+        # Halve this in the clear, to have the final result
+        result /= 2
+
+        # Check
+        assert result == dist_in_clear(x, y)
+
+    average_time = total_time / args.repeat
+    print(f"Distance between encrypted vectors done in {average_time:.2f} " f"seconds in average")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/frontends/concrete-python/requirements.dev.txt b/frontends/concrete-python/requirements.dev.txt
index bcf5a297a..9b92bce31 100644
--- a/frontends/concrete-python/requirements.dev.txt
+++ b/frontends/concrete-python/requirements.dev.txt
@@ -16,3 +16,5 @@ ruff==0.0.259
 auditwheel==5.3.0; sys_platform == 'linux'
 delocate==0.10.4; sys_platform == 'darwin'
 wheel==0.40.0
+
+py-progress-tracker==0.7.0
diff --git a/frontends/concrete-python/scripts/benchmark/postprocessor.py b/frontends/concrete-python/scripts/benchmark/postprocessor.py
new file mode 100644
index 000000000..0650c9bab
--- /dev/null
+++ b/frontends/concrete-python/scripts/benchmark/postprocessor.py
@@ -0,0 +1,186 @@
+#!/usr/bin/env python
+"""Used to convert output format from python-progress-tracker to new postgres DB format"""
+
+# pylint: disable=import-error
+
+import argparse
+import json
+import math
+import subprocess
+import sys
+from datetime import datetime
+from pathlib import Path
+from typing import Any, List, Optional, Tuple, Union
+
+from concrete import fhe
+
+# pylint: disable=import-error
+
+
+def is_git_diff(path: Union[None, Path, str]) -> bool:
+    """Check if there is a diff in a repository."""
+    path = path if path is not None else "."
+    completed_process = subprocess.run(
+        ["git", "diff", "HEAD"], capture_output=True, cwd=path, check=True
+    )
+    if completed_process.stderr:
+        message = f"Check git diff raised an error:\n {completed_process.stderr.decode()}"
+        raise ValueError(message)
+    return bool(completed_process.stdout)
+
+
+def get_git_branch(path: Union[None, Path, str]) -> str:
+    """Get git branch of repository."""
+    path = path if path is not None else "."
+    completed_process = subprocess.run(
+        ["git", "rev-parse", "--abbrev-ref", "HEAD"], capture_output=True, cwd=path, check=True
+    )
+    if completed_process.stderr:
+        message = "Check git branch raised an error:\n" f"{completed_process.stderr.decode()}"
+        raise ValueError(message)
+    return completed_process.stdout.decode().strip()
+
+
+def get_git_hash(path: Union[None, Path, str]) -> str:
+    """Get git hash of repository."""
+    path = path if path is not None else "."
+    completed_process = subprocess.run(
+        ["git", "rev-parse", "HEAD"], capture_output=True, cwd=path, check=True
+    )
+    if completed_process.stderr:
+        message = "Check git hash raised an error:\n" f"{completed_process.stderr.decode()}"
+        raise ValueError(message)
+    return completed_process.stdout.decode().strip()
+
+
+def get_git_hash_date(hash_str: str, path: Union[None, Path, str]) -> str:
+    """Get repository git hash date."""
+    path = path if path is not None else "."
+    # We get the author date (%ai) and not the commit date (%ci)
+    # for more details please refer to https://git-scm.com/docs/git-show
+    completed_process = subprocess.run(
+        ["git", "show", "-s", "--date=iso-strict", "--format=%ai", hash_str],
+        capture_output=True,
+        cwd=path,
+        check=True,
+    )
+    if completed_process.stderr:
+        message = f"Check git hash raised an error:\n {completed_process.stderr.decode()}"
+        raise ValueError(message)
+    print(completed_process.stdout.decode().strip())
+    return completed_process.stdout.decode().strip()
+
+
+def git_iso_to_python_iso(date_str: str) -> str:
+    """Transform git iso into Python iso."""
+    splitted = date_str.split()
+    return f"{splitted[0]}T{splitted[1]}{splitted[2][:3]}:{splitted[2][3:]}"
+
+
+def find_element_in_zip(elements: List[Tuple[str, Any]], key: str) -> Any:
+    """Find the element in a dict represented as a zip."""
+    for key_, value in elements:
+        if key_ == key:
+            return value
+    message = f"Couldn't find key {key} in {[key for key, _ in elements]}"
+    raise ValueError(message)
+
+
+def convert_to_new_postgres(
+    source: Path, target: Path, path_to_repository: Path, machine_name: Optional[str] = None
+):
+    """Convert json file generated via python-progress-tracker to new format."""
+    # Load from direct result of script
+    assert source.exists(), source
+    with open(source, "r", encoding="utf-8") as file:
+        progress = json.load(file)
+
+    # Get git information
+    # assert not is_git_diff(path_to_repository)
+    current_git_branch = get_git_branch(path_to_repository)
+    current_git_hash = get_git_hash(path_to_repository)
+    current_git_hash_timestamp = datetime.fromisoformat(
+        git_iso_to_python_iso(get_git_hash_date(current_git_hash, path_to_repository))
+    )
+    current_timestamp = datetime.now()
+
+    session_data = {
+        "database": "concrete_python",
+        "hardware": progress["machine"]["name"] if machine_name is None else machine_name,
+        "project_version": fhe.__version__,
+        "branch": current_git_branch,
+        "insert_date": current_timestamp.astimezone().isoformat(timespec="seconds"),
+        "commit_date": current_git_hash_timestamp.astimezone().isoformat(timespec="seconds"),
+        "points": [],
+    }
+
+    # Create experiments
+    for target_name, target_data in progress["targets"].items():
+        if "measurements" in target_data:
+            for metric_id, metric_value in target_data["measurements"].items():
+                metric_type = progress["metrics"][metric_id]["label"]
+                if math.isnan(metric_value):  # NaN
+                    continue
+
+                operation_and_case = target_name.split("::")
+
+                point = {
+                    "type": metric_type,
+                    "backend": "cpu",
+                    "name": operation_and_case[0].strip(),
+                    "test": operation_and_case[1].strip(),
+                    "class": "",
+                    "operator": "",
+                    "params": None,
+                    "value": metric_value,
+                }
+
+                session_data["points"].append(point)
+
+    # Dump modified file
+    with open(target, "w", encoding="utf-8") as file:
+        json.dump(session_data, file)
+
+
+def main():
+    """Main function to convert json into new format."""
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--source",
+        dest="source",
+        type=Path,
+        default=Path("./source.json"),
+        help="Path to json file to convert.",
+    )
+    parser.add_argument(
+        "--target",
+        dest="target",
+        type=Path,
+        default=Path("./target.json"),
+        help="Path to converted json file.",
+    )
+    parser.add_argument(
+        "--path_to_repository",
+        dest="path_to_repository",
+        type=Path,
+        default=Path("./"),
+        help="Path to repository used to run the benchmark",
+    )
+    parser.add_argument(
+        "--machine_name",
+        dest="machine_name",
+        type=str,
+        default=None,
+        help="Overwrite machine_name (default is None)",
+    )
+    args = parser.parse_args(sys.argv[1:])
+    convert_to_new_postgres(
+        source=args.source,
+        target=args.target,
+        path_to_repository=args.path_to_repository,
+        machine_name=args.machine_name,
+    )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/frontends/concrete-python/tests/compilation/test_circuit.py b/frontends/concrete-python/tests/compilation/test_circuit.py
index 8e6e5bc8f..816038cf1 100644
--- a/frontends/concrete-python/tests/compilation/test_circuit.py
+++ b/frontends/concrete-python/tests/compilation/test_circuit.py
@@ -291,6 +291,41 @@ def test_client_server_api(helpers):
         server.cleanup()
 
 
+def test_client_server_api_run_with_clear(helpers):
+    """
+    Test running server run API with a clear input.
+    """
+
+    configuration = helpers.configuration()
+
+    @fhe.compiler({"x": "encrypted", "y": "clear", "z": "clear"})
+    def function(x, y, z):
+        return x + y + z
+
+    inputset = fhe.inputset(fhe.uint3, fhe.uint3, fhe.tensor[fhe.uint3, 2, 2])  # type: ignore
+    circuit = function.compile(inputset, configuration.fork())
+
+    client = circuit.client
+    server = circuit.server
+
+    x, y, z = 3, 2, [[1, 2], [3, 4]]
+
+    encrypted_x, _, _ = client.encrypt(x, None, None)
+    encrypted_result = server.run(encrypted_x, y, z, evaluation_keys=client.evaluation_keys)
+    result = client.decrypt(encrypted_result)
+    assert np.array_equal(result, x + y + np.array(z))
+
+    with pytest.raises(ValueError) as excinfo:
+        server.run(1, 2, 3, evaluation_keys=client.evaluation_keys)
+
+    assert str(excinfo.value) == "Expected argument 0 to be an fhe.Value but it's int"
+
+    with pytest.raises(RuntimeError) as excinfo:
+        server.run(encrypted_x, [2, 2], 3, evaluation_keys=client.evaluation_keys)
+
+    assert str(excinfo.value) == "Tried to transform plaintext value with incompatible shape."
+
+
 def test_client_server_api_crt(helpers):
     """
     Test client/server API on a CRT circuit.
@@ -397,6 +432,31 @@ def test_client_server_api_via_mlir(helpers):
         server.cleanup()
 
 
+def test_server_loading_via_mlir_kwargs(helpers):
+    """
+    Test server loading via MLIR with kwarg overrides.
+    """
+
+    configuration = helpers.configuration().fork(global_p_error=None, p_error=0.001)
+
+    @fhe.compiler({"x": "encrypted", "y": "encrypted"})
+    def function(x, y):
+        return x == y
+
+    inputset = fhe.inputset(fhe.uint4, fhe.uint4)
+    circuit = function.compile(inputset, configuration)
+
+    with tempfile.TemporaryDirectory() as tmp_dir:
+        tmp_dir_path = Path(tmp_dir)
+
+        server_path = tmp_dir_path / "server.zip"
+        circuit.server.save(server_path, via_mlir=True)
+
+        server = Server.load(server_path, p_error=0.05)
+
+        assert server.complexity < circuit.complexity
+
+
 def test_circuit_run_with_unused_arg(helpers):
     """
     Test `encrypt_run_decrypt` method of `Circuit` class with unused arguments.
diff --git a/frontends/concrete-python/tests/compilation/test_modules.py b/frontends/concrete-python/tests/compilation/test_modules.py
index da09ed2eb..3af033968 100644
--- a/frontends/concrete-python/tests/compilation/test_modules.py
+++ b/frontends/concrete-python/tests/compilation/test_modules.py
@@ -2,6 +2,8 @@
 Tests of everything related to modules.
 """
 
+import inspect
+import re
 import tempfile
 
 import numpy as np
@@ -112,6 +114,26 @@ def test_wrong_inputset(helpers):
     assert str(excinfo.value) == ("Compiling function 'add' without an inputset is not supported")
 
 
+def test_non_composable_message():
+    """
+    Test the non composable Dag message.
+    """
+
+    @fhe.module()
+    class Module:
+        @fhe.function({"x": "encrypted", "y": "encrypted"})
+        def add(x, y):
+            return x + y
+
+    line_of_add = inspect.currentframe().f_lineno - 2
+    expected_message = f"""\
+Program can not be composed: At test_modules.py:{line_of_add}:0: please add `fhe.refresh(...)` to guarantee the function composability.
+The noise of the node 0 is contaminated by noise coming straight from the input (partition: 0, coeff: 2.00).\
+"""
+    with pytest.raises(RuntimeError, match=re.escape(expected_message)):
+        Module.compile({"add": [(0, 0), (3, 3)]})
+
+
 def test_call_clear_circuits():
     """
     Test that calling clear functions works.
@@ -546,7 +568,6 @@ def test_composition_wired_compilation():
             "b": [np.random.randint(1, 50, size=()) for _ in range(100)],
             "c": [np.random.randint(1, 100, size=()) for _ in range(100)],
         },
-        p_error=0.01,
     )
 
     inp_enc = module.a.encrypt(5)
@@ -602,3 +623,28 @@ def test_simulate_encrypt_run_decrypt(helpers):
     # Make sure computation happened in simulation.
     assert isinstance(module.dec.runtime, SimulationRt)
     assert isinstance(encrypted_result, int)
+
+
+def test_non_composable_due_to_increasing_noise():
+    """
+    Test that non composable module can be fixed with `fhe.refresh`.
+    """
+
+    inputsets = {"a": [(x, y) for x in range(16) for y in range(16)]}
+
+    @fhe.module()
+    class Broken:
+        @fhe.function({"x": "encrypted", "y": "encrypted"})
+        def a(x, y):
+            return fhe.identity(x + y)  # identity is optimized out in that case
+
+    with pytest.raises(RuntimeError, match="Program can not be composed"):
+        Broken.compile(inputsets)
+
+    @fhe.module()
+    class Fixed:
+        @fhe.function({"x": "encrypted", "y": "encrypted"})
+        def a(x, y):
+            return fhe.refresh(x + y)
+
+    assert Fixed.compile(inputsets)
diff --git a/frontends/concrete-python/tests/execution/test_identity.py b/frontends/concrete-python/tests/execution/test_identity.py
index b58b65012..4f5ff3b68 100644
--- a/frontends/concrete-python/tests/execution/test_identity.py
+++ b/frontends/concrete-python/tests/execution/test_identity.py
@@ -33,6 +33,8 @@ def test_plain_identity(sample, expected_output):
 operations = [
     lambda x: fhe.identity(x),
     lambda x: fhe.identity(x) + 100,
+    lambda x: fhe.refresh(x),
+    lambda x: fhe.refresh(x) + 100,
 ]
 
 cases = []
diff --git a/frontends/concrete-python/tests/execution/test_matmul.py b/frontends/concrete-python/tests/execution/test_matmul.py
index a5836b2bd..50c167a96 100644
--- a/frontends/concrete-python/tests/execution/test_matmul.py
+++ b/frontends/concrete-python/tests/execution/test_matmul.py
@@ -159,8 +159,8 @@ def test_constant_matmul(lhs_shape, rhs_shape, bounds, helpers):
     lhs_function_circuit = lhs_function.compile(lhs_inputset, configuration)
     rhs_function_circuit = rhs_function.compile(rhs_inputset, configuration)
 
-    lhs_sample = np.random.randint(minimum, maximum, size=lhs_shape)
-    rhs_sample = np.random.randint(minimum, maximum, size=rhs_shape)
+    lhs_sample = lhs_inputset[-1]
+    rhs_sample = rhs_inputset[-1]
 
     helpers.check_execution(lhs_operator_circuit, lhs_operator, lhs_sample)
     helpers.check_execution(rhs_operator_circuit, rhs_operator, rhs_sample)
@@ -168,127 +168,134 @@ def test_constant_matmul(lhs_shape, rhs_shape, bounds, helpers):
     helpers.check_execution(rhs_function_circuit, rhs_function, rhs_sample)
 
 
+test_matmul_shape_and_bounds = [
+    (
+        (3, 2),
+        (2, 3),
+        (0, 3),
+    ),
+    (
+        (3, 2),
+        (2, 3),
+        (0, 127),
+    ),
+    (
+        (1, 2),
+        (2, 1),
+        (0, 3),
+    ),
+    (
+        (3, 3),
+        (3, 3),
+        (0, 3),
+    ),
+    (
+        (2, 1),
+        (1, 2),
+        (0, 7),
+    ),
+    (
+        (2,),
+        (2,),
+        (0, 7),
+    ),
+    (
+        (5, 5),
+        (5,),
+        (0, 3),
+    ),
+    (
+        (5,),
+        (5, 5),
+        (0, 3),
+    ),
+    (
+        (5,),
+        (5, 5),
+        (-63, 63),
+    ),
+    (
+        (2,),
+        (2, 7),
+        (-63, 0),
+    ),
+    (
+        (5,),
+        (5, 3),
+        (0, 3),
+    ),
+    (
+        (5, 3),
+        (3,),
+        (0, 3),
+    ),
+    (
+        (5,),
+        (4, 5, 3),
+        (-5, 5),
+    ),
+    (
+        (4, 5, 3),
+        (3,),
+        (0, 5),
+    ),
+    (
+        (5,),
+        (2, 4, 5, 3),
+        (0, 5),
+    ),
+    (
+        (2, 4, 5, 3),
+        (3,),
+        (-1, 5),
+    ),
+    (
+        (5, 4, 3),
+        (3, 2),
+        (0, 5),
+    ),
+    (
+        (4, 3),
+        (5, 3, 2),
+        (0, 5),
+    ),
+    (
+        (2, 5, 4, 3),
+        (3, 2),
+        (0, 5),
+    ),
+    (
+        (5, 4, 3),
+        (1, 3, 2),
+        (0, 5),
+    ),
+    (
+        (1, 4, 3),
+        (5, 3, 2),
+        (0, 5),
+    ),
+    (
+        (5, 4, 3),
+        (2, 1, 3, 2),
+        (0, 5),
+    ),
+    (
+        (2, 1, 4, 3),
+        (5, 3, 2),
+        (0, 5),
+    ),
+]
+
+
 @pytest.mark.parametrize(
-    "lhs_shape,rhs_shape,bounds",
+    "lhs_shape,rhs_shape,bounds,clear_rhs",
     [
-        pytest.param(
-            (3, 2),
-            (2, 3),
-            (0, 3),
-        ),
-        pytest.param(
-            (3, 2),
-            (2, 3),
-            (0, 127),
-        ),
-        pytest.param(
-            (1, 2),
-            (2, 1),
-            (0, 3),
-        ),
-        pytest.param(
-            (3, 3),
-            (3, 3),
-            (0, 3),
-        ),
-        pytest.param(
-            (2, 1),
-            (1, 2),
-            (0, 7),
-        ),
-        pytest.param(
-            (2,),
-            (2,),
-            (0, 7),
-        ),
-        pytest.param(
-            (5, 5),
-            (5,),
-            (0, 3),
-        ),
-        pytest.param(
-            (5,),
-            (5, 5),
-            (0, 3),
-        ),
-        pytest.param(
-            (5,),
-            (5, 5),
-            (-63, 63),
-        ),
-        pytest.param(
-            (2,),
-            (2, 7),
-            (-63, 0),
-        ),
-        pytest.param(
-            (5,),
-            (5, 3),
-            (0, 3),
-        ),
-        pytest.param(
-            (5, 3),
-            (3,),
-            (0, 3),
-        ),
-        pytest.param(
-            (5,),
-            (4, 5, 3),
-            (-5, 5),
-        ),
-        pytest.param(
-            (4, 5, 3),
-            (3,),
-            (0, 5),
-        ),
-        pytest.param(
-            (5,),
-            (2, 4, 5, 3),
-            (0, 5),
-        ),
-        pytest.param(
-            (2, 4, 5, 3),
-            (3,),
-            (-1, 5),
-        ),
-        pytest.param(
-            (5, 4, 3),
-            (3, 2),
-            (0, 5),
-        ),
-        pytest.param(
-            (4, 3),
-            (5, 3, 2),
-            (0, 5),
-        ),
-        pytest.param(
-            (2, 5, 4, 3),
-            (3, 2),
-            (0, 5),
-        ),
-        pytest.param(
-            (5, 4, 3),
-            (1, 3, 2),
-            (0, 5),
-        ),
-        pytest.param(
-            (1, 4, 3),
-            (5, 3, 2),
-            (0, 5),
-        ),
-        pytest.param(
-            (5, 4, 3),
-            (2, 1, 3, 2),
-            (0, 5),
-        ),
-        pytest.param(
-            (2, 1, 4, 3),
-            (5, 3, 2),
-            (0, 5),
-        ),
+        (lhs_shape, rhs_shape, bounds, clear)
+        for lhs_shape, rhs_shape, bounds in test_matmul_shape_and_bounds
+        for clear in [False, True]
     ],
 )
-def test_matmul(lhs_shape, rhs_shape, bounds, helpers):
+def test_matmul(lhs_shape, rhs_shape, bounds, clear_rhs, helpers):
     """
     Test matmul.
     """
@@ -305,22 +312,20 @@ def test_matmul(lhs_shape, rhs_shape, bounds, helpers):
     def encrypted(x, y):
         return np.matmul(x, y)
 
-    for implementation in [clear, encrypted]:
-        inputset = [
-            (
-                np.random.randint(minimum, maximum, size=lhs_shape),
-                np.random.randint(minimum, maximum, size=rhs_shape),
-            )
-            for i in range(100)
-        ]
-        circuit = implementation.compile(inputset, configuration)
+    implementation = clear if clear_rhs else encrypted
 
-        sample = [
+    inputset = [
+        (
             np.random.randint(minimum, maximum, size=lhs_shape),
             np.random.randint(minimum, maximum, size=rhs_shape),
-        ]
+        )
+        for _ in range(100)
+    ]
+    circuit = implementation.compile(inputset, configuration)
 
-        helpers.check_execution(circuit, implementation, sample, retries=3)
+    sample = list(inputset[-1])
+
+    helpers.check_execution(circuit, implementation, sample, retries=3)
 
 
 @pytest.mark.parametrize("bit_width", [4, 10])
diff --git a/frontends/concrete-python/tests/execution/test_min_max.py b/frontends/concrete-python/tests/execution/test_min_max.py
index c25d8fc9e..291e26ff6 100644
--- a/frontends/concrete-python/tests/execution/test_min_max.py
+++ b/frontends/concrete-python/tests/execution/test_min_max.py
@@ -233,3 +233,25 @@ def test_minimum_maximum(
     ]
     for sample in samples:
         helpers.check_execution(circuit, function, sample, retries=5)
+
+
+def test_internal_signed_tlu_padding(helpers):
+    """Test that the signed input LUT is correctly padded in the case of substraction trick."""
+
+    inputset = [(i, j) for i in [0, 1] for j in [0, 1]]
+
+    @fhe.compiler({"a": "encrypted", "b": "encrypted"})
+    def min2(a, b):
+        min_12 = np.minimum(a, b)
+        return (min_12, a + 3, b + 3)
+
+    c = min2.compile(inputset, helpers.configuration())
+    min_0_1, _, _ = c.encrypt_run_decrypt(0, 1)
+
+    assert min_0_1 == 0
+
+    # Some extra checks to verify that the test is relevant (substraction trick).
+    assert c.mlir.count("to_signed") == 2  # check substraction trick is used
+    assert c.mlir.count("sub_eint") == 1  # check substraction trick is used
+    assert c.mlir.count("<[0, 0, -2, -1, 0, 0, 0, 0]>") == 0  # lut wrongly padded at the end
+    assert c.mlir.count("<[0, 0, 0, 0, 0, 0, -2, -1]>") == 1  # lut correctly padded in the middle
diff --git a/third_party/llvm-project b/third_party/llvm-project
index f5aec278e..cdd17b354 160000
--- a/third_party/llvm-project
+++ b/third_party/llvm-project
@@ -1 +1 @@
-Subproject commit f5aec278e8dfd68bfb1a15c3abb6f0852cea7046
+Subproject commit cdd17b3545cc219366da23795e9d891a006057aa