Merge branch 'main' into example-reorg

.cargo/config

@@ -0,0 +1,4 @@
+[target.wasm32-unknown-unknown]
+runner = 'wasm-bindgen-test-runner'
+rustflags = ["-C", "target-feature=+atomics,+bulk-memory,+mutable-globals","-C",
+ "link-arg=--max-memory=4294967296"]

.cargo/config.toml

@@ -1,17 +0,0 @@
-[target.wasm32-unknown-unknown]
-runner = 'wasm-bindgen-test-runner'
-rustflags = ["-C", "target-feature=+atomics,+bulk-memory,+mutable-globals","-C",
- "link-arg=--max-memory=4294967296"]
-
-
-[target.x86_64-apple-darwin]
-rustflags = [
-  "-C", "link-arg=-undefined",
-  "-C", "link-arg=dynamic_lookup",
-]
-
-[target.aarch64-apple-darwin]
-rustflags = [
-  "-C", "link-arg=-undefined",
-  "-C", "link-arg=dynamic_lookup",
-]

.github/workflows/large-tests.yml

@@ -11,7 +11,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - name: nanoGPT Mock

.github/workflows/pypi-gpu.yml

@@ -26,7 +26,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: 3.12
+          python-version: 3.7
           architecture: x64
 
       - name: Set pyproject.toml version to match github tag
@@ -34,7 +34,6 @@ jobs:
         run: |
             mv pyproject.toml pyproject.toml.orig
             sed "s/ezkl/ezkl-gpu/" pyproject.toml.orig >pyproject.toml
-            sed "s/0\\.0\\.0/${RELEASE_TAG//v}/" pyproject.toml.orig >pyproject.toml
 
       - uses: actions-rs/toolchain@v1
         with:
@@ -99,14 +98,14 @@ jobs:
       # publishes to PyPI
       - name: Publish package distributions to PyPI
         continue-on-error: true
-        uses: pypa/gh-action-pypi-publish@unstable/v1
+        uses: pypa/gh-action-pypi-publish@release/v1
         with:
           packages-dir: ./
 
       # publishes to TestPyPI
       - name: Publish package distribution to TestPyPI
         continue-on-error: true
-        uses: pypa/gh-action-pypi-publish@unstable/v1
+        uses: pypa/gh-action-pypi-publish@release/v1
         with:
           repository-url: https://test.pypi.org/legacy/
           packages-dir: ./

.github/workflows/pypi.yml

@@ -25,7 +25,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: 3.12
+          python-version: 3.7
           architecture: x64
 
       - name: Set Cargo.toml version to match github tag
@@ -40,7 +40,7 @@ jobs:
 
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-06-27
           override: true
           components: rustfmt, clippy
 
@@ -50,7 +50,6 @@ jobs:
           target: ${{ matrix.target }}
           args: --release --out dist --features python-bindings
       - name: Install built wheel
-        if: matrix.target == 'universal2-apple-darwin'
         run: |
           pip install ezkl --no-index --find-links dist --force-reinstall
           python -c "import ezkl"
@@ -71,7 +70,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: 3.12
+          python-version: 3.7
           architecture: ${{ matrix.target }}
 
       - name: Set Cargo.toml version to match github tag
@@ -86,7 +85,7 @@ jobs:
 
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-06-27
           override: true
           components: rustfmt, clippy
 
@@ -111,12 +110,12 @@ jobs:
     if: startsWith(github.ref, 'refs/tags/')
     strategy:
       matrix:
-        target: [x86_64]
+        target: [x86_64, i686]
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: 3.12
+          python-version: 3.7
           architecture: x64
 
       - name: Set Cargo.toml version to match github tag
@@ -129,7 +128,6 @@ jobs:
           mv Cargo.lock Cargo.lock.orig
           sed "s/0\\.0\\.0/${RELEASE_TAG//v}/" Cargo.lock.orig >Cargo.lock
 
-
       - name: Install required libraries
         shell: bash
         run: |
@@ -141,20 +139,6 @@ jobs:
           target: ${{ matrix.target }}
           manylinux: auto
           args: --release --out dist --features python-bindings
-          before-script-linux: |
-            # If we're running on rhel centos, install needed packages.
-            if command -v yum &> /dev/null; then
-                yum update -y && yum install -y perl-core openssl openssl-devel pkgconfig libatomic
-
-                # If we're running on i686 we need to symlink libatomic
-                # in order to build openssl with -latomic flag.
-                if [[ ! -d "/usr/lib64" ]]; then
-                    ln -s /usr/lib/libatomic.so.1 /usr/lib/libatomic.so
-                fi
-            else
-                # If we're running on debian-based system.
-                apt update -y && apt-get install -y libssl-dev openssl pkg-config
-            fi
 
       - name: Install built wheel
         if: matrix.target == 'x86_64'
@@ -168,7 +152,7 @@ jobs:
           name: wheels
           path: dist
 
-  #  There's a problem with the maturin-action toolchain for arm arch leading to failed builds
+  # TODO: There's a problem with the maturin-action toolchain for arm arch leading to failed builds
   # linux-cross:
   #   runs-on: ubuntu-latest
   #   strategy:
@@ -178,7 +162,7 @@ jobs:
   #   - uses: actions/checkout@v4
   #   - uses: actions/setup-python@v4
   #     with:
-  #       python-version: 3.12
+  #       python-version: 3.7
 
   #   - name: Install cross-compilation tools for aarch64
   #     if: matrix.target == 'aarch64'
@@ -230,17 +214,9 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: 3.12
+          python-version: 3.7
           architecture: x64
 
-      - name: Set pyproject.toml version to match github tag
-        shell: bash
-        env:
-          RELEASE_TAG: ${{ github.ref_name }}
-        run: |
-          mv pyproject.toml pyproject.toml.orig
-          sed "s/0\\.0\\.0/${RELEASE_TAG//v}/" pyproject.toml.orig >pyproject.toml
-
       - name: Set Cargo.toml version to match github tag
         shell: bash
         env:
@@ -250,6 +226,7 @@ jobs:
           sed "s/0\\.0\\.0/${RELEASE_TAG//v}/" Cargo.toml.orig >Cargo.toml
           mv Cargo.lock Cargo.lock.orig
           sed "s/0\\.0\\.0/${RELEASE_TAG//v}/" Cargo.lock.orig >Cargo.lock
+
       - name: Install required libraries
         shell: bash
         run: |
@@ -272,7 +249,7 @@ jobs:
             apk add py3-pip
             pip3 install -U pip
             python3 -m venv .venv
-            source .venv/bin/activate
+            source .venv/bin/activate            
             pip3 install ezkl --no-index --find-links /io/dist/ --force-reinstall
             python3 -c "import ezkl"
 
@@ -290,11 +267,13 @@ jobs:
         platform:
           - target: aarch64-unknown-linux-musl
             arch: aarch64
+          - target: armv7-unknown-linux-musleabihf
+            arch: armv7
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: 3.12
+          python-version: 3.7
 
       - name: Set Cargo.toml version to match github tag
         shell: bash
@@ -313,7 +292,7 @@ jobs:
           manylinux: musllinux_1_2
           args: --release --out dist --features python-bindings
 
-      - uses: uraimo/run-on-arch-action@v2.8.1
+      - uses: uraimo/run-on-arch-action@v2.5.0
         name: Install built wheel
         with:
           arch: ${{ matrix.platform.arch }}
@@ -355,28 +334,14 @@ jobs:
       # publishes to PyPI
       - name: Publish package distributions to PyPI
         continue-on-error: true
-        uses: pypa/gh-action-pypi-publish@unstable/v1
+        uses: pypa/gh-action-pypi-publish@release/v1
         with:
           packages-dir: ./
 
       # publishes to TestPyPI
       - name: Publish package distribution to TestPyPI
         continue-on-error: true
-        uses: pypa/gh-action-pypi-publish@unstable/v1
+        uses: pypa/gh-action-pypi-publish@release/v1
         with:
           repository-url: https://test.pypi.org/legacy/
           packages-dir: ./
-
-  doc-publish:
-    name: Trigger ReadTheDocs Build
-    runs-on: ubuntu-latest
-    needs: pypi-publish
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Trigger RTDs build
-        uses: dfm/rtds-action@v1
-        with:
-          webhook_url: ${{ secrets.RTDS_WEBHOOK_URL }}
-          webhook_token: ${{ secrets.RTDS_WEBHOOK_TOKEN }}
-          commit_ref: ${{ github.ref_name }}

.github/workflows/release.yml

@@ -32,7 +32,7 @@ jobs:
           token: ${{ secrets.RELEASE_TOKEN }}
           tag_name: ${{ env.EZKL_VERSION }}
 
-  build-release-gpu:
+  build-release-gpu: 
     name: build-release-gpu
     needs: ["create-release"]
     runs-on: GPU
@@ -45,7 +45,7 @@ jobs:
     steps:
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - name: Checkout repo
@@ -60,15 +60,16 @@ jobs:
       - name: Set Cargo.toml version to match github tag
         shell: bash
         run: |
-          mv Cargo.toml Cargo.toml.orig
-          sed "s/0\\.0\\.0/${EZKL_VERSION//v}/" Cargo.toml.orig >Cargo.toml
-          mv Cargo.lock Cargo.lock.orig
-          sed "s/0\\.0\\.0/${EZKL_VERSION//v}/" Cargo.lock.orig >Cargo.lock
+            mv Cargo.toml Cargo.toml.orig
+            sed "s/0\\.0\\.0/${EZKL_VERSION//v}/" Cargo.toml.orig >Cargo.toml
+            mv Cargo.lock Cargo.lock.orig
+            sed "s/0\\.0\\.0/${EZKL_VERSION//v}/" Cargo.lock.orig >Cargo.lock
+
 
       - name: Install dependencies
         shell: bash
         run: |
-          sudo apt-get update
+            sudo apt-get update
 
       - name: Build release binary
         run: cargo build --release -Z sparse-registry --features icicle
@@ -90,6 +91,7 @@ jobs:
           asset_name: ${{ env.ASSET }}
           asset_content_type: application/octet-stream
 
+
   build-release:
     name: build-release
     needs: ["create-release"]
@@ -102,32 +104,28 @@ jobs:
       PCRE2_SYS_STATIC: 1
     strategy:
       matrix:
-        build: [windows-msvc, macos, macos-aarch64, linux-musl, linux-gnu, linux-aarch64]
+        build: [windows-msvc, macos, macos-aarch64, linux-musl, linux-gnu]
         include:
           - build: windows-msvc
             os: windows-latest
-            rust: nightly-2024-07-18
+            rust: nightly-2023-06-27
             target: x86_64-pc-windows-msvc
           - build: macos
             os: macos-13
-            rust: nightly-2024-07-18
+            rust: nightly-2023-06-27
             target: x86_64-apple-darwin
           - build: macos-aarch64
             os: macos-13
-            rust: nightly-2024-07-18
+            rust: nightly-2023-06-27
             target: aarch64-apple-darwin
           - build: linux-musl
             os: ubuntu-22.04
-            rust: nightly-2024-07-18
+            rust: nightly-2023-06-27
             target: x86_64-unknown-linux-musl
           - build: linux-gnu
             os: ubuntu-22.04
-            rust: nightly-2024-07-18
+            rust: nightly-2023-06-27
             target: x86_64-unknown-linux-gnu
-          - build: linux-aarch64
-            os: ubuntu-22.04
-            rust: nightly-2024-07-18
-            target: aarch64-unknown-linux-gnu
 
     steps:
       - name: Checkout repo
@@ -181,16 +179,11 @@ jobs:
           echo "target flag is: ${{ env.TARGET_FLAGS }}"
           echo "target dir is: ${{ env.TARGET_DIR }}"
 
-      - name: Build release binary (no asm)
-        if: matrix.build != 'linux-gnu'
+      - name: Build release binary
         run: ${{ env.CARGO }} build --release ${{ env.TARGET_FLAGS }} -Z sparse-registry
 
-      - name: Build release binary (asm)
-        if: matrix.build == 'linux-gnu'
-        run: ${{ env.CARGO }} build --release ${{ env.TARGET_FLAGS }} -Z sparse-registry --features asm
-
       - name: Strip release binary
-        if: matrix.build != 'windows-msvc' && matrix.build != 'linux-aarch64'
+        if: matrix.build != 'windows-msvc'
         run: strip "target/${{ matrix.target }}/release/ezkl"
 
       - name: Strip release binary (Windows)

.github/workflows/rust.yml

@@ -26,7 +26,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - name: Build
@@ -38,7 +38,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - name: Docs
@@ -50,7 +50,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
@@ -65,40 +65,40 @@ jobs:
       - name: Library tests (original lookup)
         run: cargo nextest run --lib --verbose --no-default-features --features ezkl
 
-  # ultra-overflow-tests-gpu:
-  #   runs-on: GPU
-  #   env:
-  #     ENABLE_ICICLE_GPU: true
-  #   steps:
-  #     - uses: actions/checkout@v4
-  #     - uses: actions-rs/toolchain@v1
-  #       with:
-  #         toolchain: nightly-2024-07-18
-  #         override: true
-  #         components: rustfmt, clippy
-  #     - uses: baptiste0928/cargo-install@v1
-  #       with:
-  #         crate: cargo-nextest
-  #         locked: true
-  #     - uses: mwilliamson/setup-wasmtime-action@v2
-  #       with:
-  #         wasmtime-version: "3.0.1"
-  #     - name: Install wasm32-wasi
-  #       run: rustup target add wasm32-wasi
-  #     - name: Install cargo-wasi
-  #       run: cargo install cargo-wasi
-  #     # - name: Matmul overflow (wasi)
-  #     #   run: cargo wasi test matmul_col_ultra_overflow -- --include-ignored --nocapture
-  #     # - name: Conv overflow (wasi)
-  #     #   run: cargo wasi test conv_col_ultra_overflow -- --include-ignored --nocapture
-  #     - name: lookup overflow
-  #       run: cargo nextest run lookup_ultra_overflow --no-capture --features icicle -- --include-ignored
-  #     - name: Matmul overflow
-  #       run: RUST_LOG=debug cargo nextest run matmul_col_ultra_overflow --no-capture --features icicle -- --include-ignored
-  #     - name: Conv overflow
-  #       run: RUST_LOG=debug cargo nextest run conv_col_ultra_overflow --no-capture --features icicle -- --include-ignored
-  #     - name: Conv + relu overflow
-  #       run: cargo nextest run conv_relu_col_ultra_overflow --no-capture --features icicle -- --include-ignored
+  ultra-overflow-tests-gpu:
+    runs-on: GPU
+    env:
+      ENABLE_ICICLE_GPU: true
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions-rs/toolchain@v1
+        with:
+          toolchain: nightly-2023-08-24
+          override: true
+          components: rustfmt, clippy
+      - uses: baptiste0928/cargo-install@v1
+        with:
+          crate: cargo-nextest
+          locked: true
+      - uses: mwilliamson/setup-wasmtime-action@v2
+        with:
+          wasmtime-version: "3.0.1"
+      - name: Install wasm32-wasi
+        run: rustup target add wasm32-wasi
+      - name: Install cargo-wasi
+        run: cargo install cargo-wasi
+      # - name: Matmul overflow (wasi)
+      #   run: cargo wasi test matmul_col_ultra_overflow -- --include-ignored --nocapture
+      # - name: Conv overflow (wasi)
+      #   run: cargo wasi test conv_col_ultra_overflow -- --include-ignored --nocapture
+      - name: lookup overflow
+        run: cargo nextest run  --release lookup_ultra_overflow --no-capture --features icicle -- --include-ignored
+      - name: Matmul overflow
+        run: RUST_LOG=debug cargo nextest run matmul_col_ultra_overflow --no-capture --features icicle -- --include-ignored
+      - name: Conv overflow
+        run: RUST_LOG=debug cargo nextest run conv_col_ultra_overflow --no-capture --features icicle -- --include-ignored
+      - name: Conv + relu overflow
+        run: cargo nextest run  --release conv_relu_col_ultra_overflow --no-capture --features icicle -- --include-ignored
 
   ultra-overflow-tests_og-lookup:
     runs-on: non-gpu
@@ -106,7 +106,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
@@ -139,7 +139,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
@@ -172,7 +172,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
@@ -184,51 +184,62 @@ jobs:
 
   wasm32-tests:
     runs-on: ubuntu-latest
+    # needs: [build,  library-tests, docs]
     steps:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: jetli/wasm-pack-action@v0.4.0
-        with:
-          # Pin to version 0.12.1
-          version: 'v0.12.1'
       - uses: nanasess/setup-chromedriver@v2
         # with:
         #   chromedriver-version: "115.0.5790.102"
       - name: Install wasm32-unknown-unknown
         run: rustup target add wasm32-unknown-unknown
+      - name: Install wasm runner
+        run: cargo install wasm-server-runner
       - name: Add rust-src
-        run: rustup component add rust-src --toolchain nightly-2024-07-18-x86_64-unknown-linux-gnu
+        run: rustup component add rust-src --toolchain nightly-2023-08-24-x86_64-unknown-linux-gnu
       - name: Run wasm verifier tests
         # on mac:
         #   AR=/opt/homebrew/opt/llvm/bin/llvm-ar CC=/opt/homebrew/opt/llvm/bin/clang wasm-pack test --firefox --headless -- -Z build-std="panic_abort,std" --features web
         run: wasm-pack test --chrome --headless -- -Z build-std="panic_abort,std" --features web
 
-  mock-proving-tests:
-    runs-on: non-gpu
-    needs: [build, library-tests, docs, python-tests, python-integration-tests]
+  tutorial:
+    runs-on: ubuntu-latest
+    needs: [build, library-tests, docs]
     steps:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
+          override: true
+          components: rustfmt, clippy
+      - uses: baptiste0928/cargo-install@v1
+        with:
+          crate: cargo-nextest
+          locked: true
+      - name: Circuit Render
+        run: cargo nextest run --release --verbose tests::tutorial_
+
+  mock-proving-tests:
+    runs-on: non-gpu
+    # needs: [build,  library-tests, docs]
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions-rs/toolchain@v1
+        with:
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
         with:
           crate: cargo-nextest
           locked: true
-      # - name: The Worm Mock
-      #   run: cargo nextest run --release --verbose tests::large_mock_::large_tests_5_expects -- --include-ignored
-      - name: public outputs and bounded lookup log
-        run: cargo nextest run --release --verbose tests::mock_bounded_lookup_log --test-threads 32
-      - name: public outputs and tolerance > 0
-        run: cargo nextest run --release --verbose tests::mock_tolerance_public_outputs_ --test-threads 32
       - name: public outputs + batch size == 10
-        run: cargo nextest run --release --verbose tests::mock_large_batch_public_outputs_ --test-threads 16
+        run: cargo nextest run --release --verbose tests::mock_large_batch_public_outputs_ --test-threads 32
       - name: kzg inputs
         run: cargo nextest run --release --verbose tests::mock_kzg_input_::t  --test-threads 32
       - name: kzg params
@@ -247,8 +258,6 @@ jobs:
         run: cargo nextest run --release --verbose tests::mock_hashed_input_::t  --test-threads 32
       - name: hashed params
         run: cargo nextest run --release --verbose tests::mock_hashed_params_::t  --test-threads 32
-      - name: hashed params public inputs
-        run: cargo nextest run --release --verbose tests::mock_hashed_params_public_inputs_::t  --test-threads 32
       - name: hashed outputs
         run: cargo nextest run --release --verbose tests::mock_hashed_output_::t  --test-threads 32
       - name: hashed inputs + params + outputs
@@ -272,12 +281,12 @@ jobs:
 
   prove-and-verify-evm-tests:
     runs-on: non-gpu
-    needs: [build, library-tests, docs, python-tests, python-integration-tests]
+    needs: [build, library-tests]
     steps:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
@@ -294,32 +303,18 @@ jobs:
         with:
           node-version: "18.12.1"
           cache: "pnpm"
-      - name: "Add rust-src"
-        run: rustup component add rust-src --toolchain nightly-2024-07-18-x86_64-unknown-linux-gnu
-      - name: Install dependencies for js tests and in-browser-evm-verifier package
+      - name: Install dependencies
         run: |
-          pnpm install --frozen-lockfile
-          pnpm install --dir ./in-browser-evm-verifier --frozen-lockfile
+          pnpm install --no-frozen-lockfile
         env:
           CI: false
           NODE_ENV: development
-      - name: Build wasm package for nodejs target.
-        run: |
-          wasm-pack build --release --target nodejs --out-dir ./in-browser-evm-verifier/nodejs . -- -Z build-std="panic_abort,std"
-      - name: Replace memory definition in nodejs
-        run: |
-          sed -i "3s|.*|imports['env'] = {memory: new WebAssembly.Memory({initial:20,maximum:65536,shared:true})}|" in-browser-evm-verifier/nodejs/ezkl.js
-      - name: Build @ezkljs/verify package
-        run: |
-          cd in-browser-evm-verifier
-          pnpm build:commonjs
-          cd ..
-      # - name: Install solc
-      #   run: (hash svm 2>/dev/null || cargo install svm-rs) && svm install 0.8.20 && solc --version
+      - name: Install solc
+        run: (hash svm 2>/dev/null || cargo install svm-rs) && svm install 0.8.20 && solc --version
       - name: Install Anvil
-        run: cargo install --git https://github.com/foundry-rs/foundry --rev 62cdea8ff9e6efef011f77e295823b5f2dbeb3a1 --locked anvil --force
-      - name: KZG prove and verify tests (EVM + reusable verifier + col-overflow)
-        run: cargo nextest run --release --verbose tests_evm::kzg_evm_prove_and_verify_reusable_verifier --test-threads 1
+        run: cargo install --git https://github.com/foundry-rs/foundry --rev 95a93cd397f25f3f8d49d2851eb52bc2d52dd983 --profile local --locked anvil --force
+      - name: KZG prove and verify tests (EVM + VK rendered seperately)
+        run: cargo nextest run --release --verbose tests_evm::kzg_evm_prove_and_verify_render_seperately_ --test-threads 1
       - name: KZG prove and verify tests (EVM + kzg all)
         run: cargo nextest run --release --verbose tests_evm::kzg_evm_kzg_all_prove_and_verify --test-threads 1
       - name: KZG prove and verify tests (EVM + kzg inputs)
@@ -332,12 +327,6 @@ jobs:
         run: cargo nextest run --release --verbose tests_evm::kzg_evm_on_chain_output_prove_and_verify --test-threads 1
       - name: KZG prove and verify tests (EVM + on chain inputs & outputs)
         run: cargo nextest run --release --verbose tests_evm::kzg_evm_on_chain_input_output_prove_and_verify --test-threads 1
-      - name: KZG prove and verify tests (EVM + on chain inputs & kzg outputs + params)
-        run: cargo nextest run --release --verbose tests_evm::kzg_evm_on_chain_input_kzg_output_kzg_params_prove_and_verify --test-threads 1
-      - name: KZG prove and verify tests (EVM + on chain outputs & kzg inputs + params)
-        run: cargo nextest run --release --verbose tests_evm::kzg_evm_on_chain_output_kzg_input_kzg_params_prove_and_verify --test-threads 1
-      - name: KZG prove and verify tests (EVM + on chain all kzg)
-        run: cargo nextest run --release --verbose tests_evm::kzg_evm_on_chain_all_kzg_params_prove_and_verify --test-threads 1
       - name: KZG prove and verify tests (EVM + on chain inputs & outputs hashes)
         run: cargo nextest run --release --verbose tests_evm::kzg_evm_on_chain_input_output_hashed_prove_and_verify --test-threads 1
       - name: KZG prove and verify tests (EVM)
@@ -351,23 +340,23 @@ jobs:
 
   prove-and-verify-tests:
     runs-on: non-gpu
-    needs: [build, library-tests, docs]
+    needs: [build, library-tests]
     steps:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: jetli/wasm-pack-action@v0.4.0
-        with:
-          # Pin to version 0.12.1
-          version: 'v0.12.1'
       - name: Add wasm32-unknown-unknown target
         run: rustup target add wasm32-unknown-unknown
 
+      - name: Install wasm-server-runner
+        run: cargo install wasm-server-runner
+
       - name: Add rust-src
-        run: rustup component add rust-src --toolchain nightly-2024-07-18-x86_64-unknown-linux-gnu
+        run: rustup component add rust-src --toolchain nightly-2023-08-24-x86_64-unknown-linux-gnu
       - uses: actions/checkout@v3
       - name: Use pnpm 8
         uses: pnpm/action-setup@v2
@@ -378,9 +367,9 @@ jobs:
         with:
           node-version: "18.12.1"
           cache: "pnpm"
-      - name: Install dependencies for js tests
+      - name: Install dependencies
         run: |
-          pnpm install --frozen-lockfile
+          pnpm install --no-frozen-lockfile
         env:
           CI: false
           NODE_ENV: development
@@ -396,16 +385,6 @@ jobs:
           sed -i "3s|.*|imports['env'] = {memory: new WebAssembly.Memory({initial:20,maximum:65536,shared:true})}|" tests/wasm/nodejs/ezkl.js
       - name: KZG prove and verify tests (public outputs + column overflow)
         run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_with_overflow_::w
-      - name: KZG prove and verify tests (public outputs + fixed params + column overflow)
-        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_with_overflow_fixed_params_
-      - name: KZG prove and verify tests (hashed inputs + column overflow)
-        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_with_overflow_hashed_inputs_
-      - name: KZG prove and verify tests (public outputs)
-        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_tight_lookup_::t
-      - name: IPA prove and verify tests
-        run: cargo nextest run --release --verbose tests::ipa_prove_and_verify_::t --test-threads 1
-      - name: IPA prove and verify tests (ipa outputs)
-        run: cargo nextest run --release --verbose tests::ipa_prove_and_verify_ipa_output
       - name: KZG prove and verify tests single inner col
         run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_single_col
       - name: KZG prove and verify tests triple inner col
@@ -416,8 +395,12 @@ jobs:
         run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_octuple_col --test-threads 8
       - name: KZG prove and verify tests (kzg outputs)
         run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_kzg_output
+      - name: KZG prove and verify tests (public outputs + fixed params + column overflow)
+        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_with_overflow_fixed_params_
       - name: KZG prove and verify tests (public outputs)
         run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_::t
+      - name: KZG prove and verify tests (public outputs + column overflow)
+        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_::t
       - name: KZG prove and verify tests (public inputs)
         run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_public_input
       - name: KZG prove and verify tests (fixed params)
@@ -425,111 +408,134 @@ jobs:
       - name: KZG prove and verify tests (hashed outputs)
         run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_hashed
 
-  # prove-and-verify-tests-gpu:
-  #   runs-on: GPU
-  #   env:
-  #     ENABLE_ICICLE_GPU: true
-  #   steps:
-  #     - uses: actions/checkout@v4
-  #     - uses: actions-rs/toolchain@v1
-  #       with:
-  #         toolchain: nightly-2024-07-18
-  #         override: true
-  #         components: rustfmt, clippy
-  #     - name: Add rust-src
-  #       run: rustup component add rust-src --toolchain nightly-2024-07-18-x86_64-unknown-linux-gnu
-  #     - uses: actions/checkout@v3
-  #     - uses: baptiste0928/cargo-install@v1
-  #       with:
-  #         crate: cargo-nextest
-  #         locked: true
-  #     - name: KZG prove and verify tests (kzg outputs)
-  #       run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_kzg_output --features icicle --test-threads 1
-  #     - name: KZG prove and verify tests (public outputs + column overflow)
-  #       run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_with_overflow_::w --features icicle  --test-threads 1
-  #     - name: KZG prove and verify tests (public outputs + fixed params + column overflow)
-  #       run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_with_overflow_fixed_params_ --features icicle  --test-threads 1
-  #     - name: KZG prove and verify tests (public outputs)
-  #       run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_::t --features icicle  --test-threads 1
-  #     - name: KZG prove and verify tests (public outputs + column overflow)
-  #       run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_::t --features icicle  --test-threads 1
-  #     - name: KZG prove and verify tests (public inputs)
-  #       run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_public_input --features icicle  --test-threads 1
-  #     - name: KZG prove and verify tests (fixed params)
-  #       run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_fixed_params --features icicle  --test-threads 1
-  #     - name: KZG prove and verify tests (hashed outputs)
-  #       run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_hashed --features icicle  --test-threads 1
+  prove-and-verify-tests-gpu:
+    runs-on: GPU
+    env:
+      ENABLE_ICICLE_GPU: true
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions-rs/toolchain@v1
+        with:
+          toolchain: nightly-2023-08-24
+          override: true
+          components: rustfmt, clippy
+      - name: Add rust-src
+        run: rustup component add rust-src --toolchain nightly-2023-08-24-x86_64-unknown-linux-gnu
+      - uses: actions/checkout@v3
+      - uses: baptiste0928/cargo-install@v1
+        with:
+          crate: cargo-nextest
+          locked: true
+      - name: KZG prove and verify tests (kzg outputs)
+        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_kzg_output --features icicle --test-threads 1
+      - name: KZG prove and verify tests (public outputs + column overflow)
+        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_with_overflow_::w --features icicle  --test-threads 1
+      - name: KZG prove and verify tests (public outputs + fixed params + column overflow)
+        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_with_overflow_fixed_params_ --features icicle  --test-threads 1
+      - name: KZG prove and verify tests (public outputs)
+        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_::t --features icicle  --test-threads 1
+      - name: KZG prove and verify tests (public outputs + column overflow)
+        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_::t --features icicle  --test-threads 1
+      - name: KZG prove and verify tests (public inputs)
+        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_public_input --features icicle  --test-threads 1
+      - name: KZG prove and verify tests (fixed params)
+        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_fixed_params --features icicle  --test-threads 1
+      - name: KZG prove and verify tests (hashed outputs)
+        run: cargo nextest run --release --verbose tests::kzg_prove_and_verify_hashed --features icicle  --test-threads 1
+
+  fuzz-tests:
+    runs-on: ubuntu-latest-32-cores
+    needs: [build, library-tests, python-tests]
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions-rs/toolchain@v1
+        with:
+          toolchain: nightly-2023-08-24
+          override: true
+          components: rustfmt, clippy
+      - uses: baptiste0928/cargo-install@v1
+        with:
+          crate: cargo-nextest
+          locked: true
+      - name: Install solc
+        run: (hash svm 2>/dev/null || cargo install svm-rs) && svm install 0.8.20 && solc --version
+      - name: Install Anvil
+        run: cargo install --git https://github.com/foundry-rs/foundry --rev 95a93cd397f25f3f8d49d2851eb52bc2d52dd983 --profile local --locked anvil --force
+      - name: fuzz tests (EVM)
+        run: cargo nextest run --release --verbose tests_evm::kzg_evm_fuzz_ --test-threads 2
+      # - name: fuzz tests
+      #   run: cargo nextest run --release --verbose tests::kzg_fuzz_ --test-threads 6
 
   prove-and-verify-mock-aggr-tests:
     runs-on: self-hosted
-    needs: [build, library-tests, docs, python-tests, python-integration-tests]
+    needs: [build, library-tests]
     steps:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
         with:
           crate: cargo-nextest
           locked: true
-      - name: Mock aggr tests (KZG)
+      - name: Mock aggr tests
         run: cargo nextest run --release --verbose tests_aggr::kzg_aggr_mock_prove_and_verify_  --test-threads 8
 
-  # prove-and-verify-aggr-tests-gpu:
-  #   runs-on: GPU
-  #   env:
-  #     ENABLE_ICICLE_GPU: true
-  #   steps:
-  #     - uses: actions/checkout@v4
-  #     - uses: actions-rs/toolchain@v1
-  #       with:
-  #         toolchain: nightly-2024-07-18
-  #         override: true
-  #         components: rustfmt, clippy
-  #     - uses: baptiste0928/cargo-install@v1
-  #       with:
-  #         crate: cargo-nextest
-  #         locked: true
-  #     - name: KZG tests
-  #       run: cargo nextest run --verbose tests_aggr::kzg_aggr_prove_and_verify_  --features icicle --test-threads 1 -- --include-ignored
+  prove-and-verify-aggr-tests-gpu:
+    runs-on: GPU
+    env:
+      ENABLE_ICICLE_GPU: true
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions-rs/toolchain@v1
+        with:
+          toolchain: nightly-2023-08-24
+          override: true
+          components: rustfmt, clippy
+      - uses: baptiste0928/cargo-install@v1
+        with:
+          crate: cargo-nextest
+          locked: true
+      - name: KZG )tests
+        run: cargo nextest run --release --verbose tests_aggr::kzg_aggr_prove_and_verify_  --features icicle --test-threads 1 -- --include-ignored
 
   prove-and-verify-aggr-tests:
     runs-on: large-self-hosted
-    needs: [build, library-tests, docs, python-tests, python-integration-tests]
+    needs: [build, library-tests, python-tests]
     steps:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
         with:
           crate: cargo-nextest
           locked: true
-      - name: KZG tests
-        run: cargo nextest run --release --verbose tests_aggr::kzg_aggr_prove_and_verify_  --test-threads 4 -- --include-ignored
+      - name: KZG )tests
+        run: cargo nextest run --release --verbose tests_aggr::kzg_aggr_prove_and_verify_  --test-threads 8 -- --include-ignored
 
   prove-and-verify-aggr-evm-tests:
     runs-on: large-self-hosted
-    needs: [build, library-tests, docs, python-tests, python-integration-tests]
+    needs: [build, library-tests, python-tests]
     steps:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
         with:
           crate: cargo-nextest
           locked: true
-      # - name: Install solc
-      #   run: (hash svm 2>/dev/null || cargo install svm-rs) && svm install 0.8.20 && solc --version
+      - name: Install solc
+        run: (hash svm 2>/dev/null || cargo install svm-rs) && svm install 0.8.20 && solc --version
       - name: Install Anvil
-        run: cargo install --git https://github.com/foundry-rs/foundry --rev 62cdea8ff9e6efef011f77e295823b5f2dbeb3a1 --locked anvil --force
+        run: cargo install --git https://github.com/foundry-rs/foundry --rev 95a93cd397f25f3f8d49d2851eb52bc2d52dd983 --profile local --locked anvil --force
       - name: KZG prove and verify aggr tests
         run: cargo nextest run  --release --verbose tests_evm::kzg_evm_aggr_prove_and_verify_::t --test-threads 4 -- --include-ignored
 
@@ -540,13 +546,15 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
         with:
           crate: cargo-nextest
           locked: true
+      - name: Download MNIST
+        run: sh data.sh
       - name: Examples
         run: cargo nextest run --release tests_examples
 
@@ -557,36 +565,34 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: "3.12"
+          python-version: "3.7"
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
-      - name: Install cmake
-        run: sudo apt-get install -y cmake
-      # - name: Install solc
-      #   run: (hash svm 2>/dev/null || cargo install svm-rs) && svm install 0.8.20 && solc --version
+      - name: Install solc
+        run: (hash svm 2>/dev/null || cargo install svm-rs) && svm install 0.8.20 && solc --version
       - name: Setup Virtual Env and Install python dependencies
-        run: python -m venv .env --clear; source .env/bin/activate; pip install -r requirements.txt;
+        run: python -m venv .env; source .env/bin/activate; pip install -r requirements.txt;
       - name: Install Anvil
-        run: cargo install --git https://github.com/foundry-rs/foundry --rev 62cdea8ff9e6efef011f77e295823b5f2dbeb3a1 --locked anvil --force
+        run: cargo install --git https://github.com/foundry-rs/foundry --rev 95a93cd397f25f3f8d49d2851eb52bc2d52dd983 --profile local --locked anvil --force
       - name: Build python ezkl
-        run: source .env/bin/activate; unset CONDA_PREFIX; maturin develop --features python-bindings --release
+        run: source .env/bin/activate; maturin develop --features python-bindings --release
       - name: Run pytest
-        run: source .env/bin/activate; pip install pytest-asyncio; pytest -vv
+        run: source .env/bin/activate; pytest -vv
 
   accuracy-measurement-tests:
     runs-on: ubuntu-latest-32-cores
-    needs: [build, library-tests, docs, python-tests, python-integration-tests]
+    # needs: [build, library-tests, docs]
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: "3.12"
+          python-version: "3.7"
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
@@ -594,9 +600,11 @@ jobs:
           crate: cargo-nextest
           locked: true
       - name: Setup Virtual Env and Install python dependencies
-        run: python -m venv .env --clear; source .env/bin/activate; pip install -r requirements.txt;
+        run: python -m venv .env; source .env/bin/activate; pip install -r requirements.txt;
       - name: Build python ezkl
-        run: source .env/bin/activate; unset CONDA_PREFIX; maturin develop --features python-bindings --release
+        run: source .env/bin/activate; maturin develop --features python-bindings --release
+      - name: Div rebase
+        run: source .env/bin/activate; cargo nextest run --release --verbose tests::accuracy_measurement_div_rebase_
       - name: Public inputs
         run: source .env/bin/activate; cargo nextest run --release --verbose tests::accuracy_measurement_public_inputs_
       - name: fixed params
@@ -608,56 +616,28 @@ jobs:
 
   python-integration-tests:
     runs-on: large-self-hosted
-    services:
-      # Label used to access the service container
-      postgres:
-        # Docker Hub image
-        image: postgres
-        env:
-          POSTGRES_USER: ubuntu
-          POSTGRES_HOST_AUTH_METHOD: trust
-        # Set health checks to wait until postgres has started
-        options: >-
-          --health-cmd pg_isready
-          --health-interval 10s
-          --health-timeout 5s
-          --health-retries 5
-          -v /var/run/postgresql:/var/run/postgresql
-        ports:
-          # Maps tcp port 5432 on service container to the host
-          - 5432:5432
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: "3.11"
+          python-version: "3.9"
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: baptiste0928/cargo-install@v1
         with:
           crate: cargo-nextest
           locked: true
-      # - name: Install solc
-      #   run: (hash svm 2>/dev/null || cargo install svm-rs) && svm install 0.8.20 && solc --version
+      - name: Install solc
+        run: (hash svm 2>/dev/null || cargo install svm-rs) && svm install 0.8.20 && solc --version
       - name: Install Anvil
-        run: cargo install --git https://github.com/foundry-rs/foundry --rev 62cdea8ff9e6efef011f77e295823b5f2dbeb3a1 --locked anvil --force
-      - name: Install pip
-        run: python -m ensurepip --upgrade
+        run: cargo install --git https://github.com/foundry-rs/foundry --rev 95a93cd397f25f3f8d49d2851eb52bc2d52dd983 --profile local --locked anvil --force
       - name: Setup Virtual Env and Install python dependencies
-        run: python -m venv .env --clear; source .env/bin/activate; pip install -r requirements.txt; python -m ensurepip --upgrade
+        run: python -m venv .env; source .env/bin/activate; pip install -r requirements.txt;
       - name: Build python ezkl
-        run: source .env/bin/activate; unset CONDA_PREFIX; maturin develop --features python-bindings --release
-      - name: Neural bow
-        run: source .env/bin/activate; cargo nextest run py_tests::tests::neural_bag_of_words_ --no-capture
-      - name: Felt conversion
-        run: source .env/bin/activate; cargo nextest run py_tests::tests::felt_conversion_test_ --no-capture
-      - name: Postgres tutorials
-        run: source .env/bin/activate; cargo nextest run py_tests::tests::postgres_ --no-capture
-      - name: Tictactoe tutorials
-        run: source .env/bin/activate; cargo nextest run py_tests::tests::tictactoe_ --test-threads 1
+        run: source .env/bin/activate; maturin develop --features python-bindings --release
       # - name: authenticate-kaggle-cli
       #   shell: bash
       #   env:
@@ -668,73 +648,12 @@ jobs:
       #     echo $KAGGLE_API_KEY > /home/ubuntu/.kaggle/kaggle.json
       #     chmod 600 /home/ubuntu/.kaggle/kaggle.json
       - name: All notebooks
-        run: source .env/bin/activate; cargo nextest run py_tests::tests::run_notebook_ --test-threads 1
+        run: source .env/bin/activate; cargo nextest run py_tests::tests::run_notebook_ --no-capture
       - name: Voice tutorial
         run: source .env/bin/activate; cargo nextest run py_tests::tests::voice_
       - name: NBEATS tutorial
         run: source .env/bin/activate; cargo nextest run py_tests::tests::nbeats_
-      # - name: Reusable verifier tutorial
-        # run: source .env/bin/activate; cargo nextest run py_tests::tests::reusable_
-
-  ios-integration-tests:
-      runs-on: macos-latest
-      steps:
-        - uses: actions/checkout@v4
-        - uses: actions-rs/toolchain@v1
-          with:
-            toolchain: nightly-2024-07-18
-            override: true
-            components: rustfmt, clippy
-        - uses: baptiste0928/cargo-install@v1
-          with:
-            crate: cargo-nextest
-            locked: true
-        - name: Run ios tests
-          run: CARGO_BUILD_TARGET=aarch64-apple-darwin RUSTUP_TOOLCHAIN=nightly-2024-07-18-aarch64-apple-darwin cargo test --test ios_integration_tests --features ios-bindings-test --no-default-features
-
-  swift-package-tests:
-      runs-on: macos-latest
-      needs: [ios-integration-tests]
-
-      steps:
-        - uses: actions/checkout@v4
-        - uses: actions-rs/toolchain@v1
-          with:
-            toolchain: nightly-2024-07-18
-            override: true
-            components: rustfmt, clippy
-        - name: Build EzklCoreBindings
-          run: CONFIGURATION=debug cargo run --bin ios_gen_bindings --features "ios-bindings uuid camino uniffi_bindgen" --no-default-features
-
-        - name: Clone ezkl-swift- repository
-          run: |
-            git clone https://github.com/zkonduit/ezkl-swift-package.git
-
-        - name: Copy EzklCoreBindings
-          run: |
-            rm -rf ezkl-swift-package/Sources/EzklCoreBindings
-            cp -r build/EzklCoreBindings ezkl-swift-package/Sources/
-
-        - name: Set up Xcode environment
-          run: |
-            sudo xcode-select -s /Applications/Xcode.app/Contents/Developer
-            sudo xcodebuild -license accept
-
-        - name: Run Package Tests
-          run: |
-            cd ezkl-swift-package
-            xcodebuild test \
-              -scheme EzklPackage \
-              -destination 'platform=iOS Simulator,name=iPhone 15 Pro,OS=17.5' \
-              -resultBundlePath ../testResults
-
-        - name: Run Example App Tests
-          run: |
-            cd ezkl-swift-package/Example
-            xcodebuild test \
-              -project Example.xcodeproj \
-              -scheme EzklApp \
-              -destination 'platform=iOS Simulator,name=iPhone 15 Pro,OS=17.5' \
-              -parallel-testing-enabled NO \
-              -resultBundlePath ../../exampleTestResults \
-              -skip-testing:EzklAppUITests/EzklAppUITests/testButtonClicksInOrder
+      - name: Tictactoe tutorials
+        run: source .env/bin/activate; cargo nextest run py_tests::tests::tictactoe_ --no-capture
+      # - name: Postgres tutorials
+      #   run: source .env/bin/activate; cargo nextest run py_tests::tests::postgres_ --test-threads 1

.github/workflows/swift-pm.yml

@@ -1,129 +0,0 @@
-name: Build and Publish EZKL iOS SPM package
-
-on:
-  push:
-    tags:
-      # Only support SemVer versioning tags
-      - 'v[0-9]+.[0-9]+.[0-9]+'
-      - '[0-9]+.[0-9]+.[0-9]+'
-
-jobs:
-  build-and-update:
-    runs-on: macos-latest
-    env:
-      EZKL_SWIFT_PACKAGE_REPO: github.com/zkonduit/ezkl-swift-package.git
-
-    steps:
-      - name: Checkout EZKL
-        uses: actions/checkout@v3
-
-      - name: Extract TAG from github.ref_name
-        run: |
-          # github.ref_name is provided by GitHub Actions and contains the tag name directly.
-          TAG="${{ github.ref_name }}"
-          echo "Original TAG: $TAG"
-          # Remove leading 'v' if present to match the Swift Package Manager version format.
-          NEW_TAG=${TAG#v}
-          echo "Stripped TAG: $NEW_TAG"
-          echo "TAG=$NEW_TAG" >> $GITHUB_ENV
-
-      - name: Install Rust (nightly)
-        uses: actions-rs/toolchain@v1
-        with:
-          toolchain: nightly
-          override: true
-
-      - name: Build EzklCoreBindings
-        run: CONFIGURATION=release cargo run --bin ios_gen_bindings --features "ios-bindings uuid camino uniffi_bindgen" --no-default-features
-
-      - name: Clone ezkl-swift-package repository
-        run: |
-          git clone https://${{ env.EZKL_SWIFT_PACKAGE_REPO }}
-
-      - name: Copy EzklCoreBindings
-        run: |
-          rm -rf ezkl-swift-package/Sources/EzklCoreBindings
-          cp -r build/EzklCoreBindings ezkl-swift-package/Sources/
-
-      - name: Copy Test Files
-        run: |
-          rm -rf ezkl-swift-package/Tests/EzklAssets/*
-          cp tests/assets/kzg ezkl-swift-package/Tests/EzklAssets/kzg.srs
-          cp tests/assets/input.json ezkl-swift-package/Tests/EzklAssets/input.json
-          cp tests/assets/model.compiled ezkl-swift-package/Tests/EzklAssets/network.ezkl
-          cp tests/assets/settings.json ezkl-swift-package/Tests/EzklAssets/settings.json
-
-      - name: Check for changes
-        id: check_changes
-        run: |
-          cd ezkl-swift-package
-          if git diff --quiet Sources/EzklCoreBindings Tests/EzklAssets; then
-            echo "no_changes=true" >> $GITHUB_OUTPUT
-          else
-            echo "no_changes=false" >> $GITHUB_OUTPUT
-          fi
-
-      - name: Set up Xcode environment
-        if: steps.check_changes.outputs.no_changes == 'false'
-        run: |
-          sudo xcode-select -s /Applications/Xcode.app/Contents/Developer
-          sudo xcodebuild -license accept
-
-      - name: Run Package Tests
-        if: steps.check_changes.outputs.no_changes == 'false'
-        run: |
-          cd ezkl-swift-package
-          xcodebuild test \
-            -scheme EzklPackage \
-            -destination 'platform=iOS Simulator,name=iPhone 15 Pro,OS=17.5' \
-            -resultBundlePath ../testResults
-
-      - name: Run Example App Tests
-        if: steps.check_changes.outputs.no_changes == 'false'
-        run: |
-          cd ezkl-swift-package/Example
-          xcodebuild test \
-            -project Example.xcodeproj \
-            -scheme EzklApp \
-            -destination 'platform=iOS Simulator,name=iPhone 15 Pro,OS=17.5' \
-            -parallel-testing-enabled NO \
-            -resultBundlePath ../../exampleTestResults \
-            -skip-testing:EzklAppUITests/EzklAppUITests/testButtonClicksInOrder
-
-      - name: Setup Git
-        run: |
-          cd ezkl-swift-package
-          git config user.name "GitHub Action"
-          git config user.email "action@github.com"
-          git remote set-url origin https://zkonduit:${EZKL_SWIFT_PACKAGE_REPO_TOKEN}@${{ env.EZKL_SWIFT_PACKAGE_REPO }}
-        env:
-          EZKL_SWIFT_PACKAGE_REPO_TOKEN: ${{ secrets.EZKL_PORTER_TOKEN }}
-
-      - name: Commit and Push Changes
-        if: steps.check_changes.outputs.no_changes == 'false'
-        run: |
-          cd ezkl-swift-package
-          git add Sources/EzklCoreBindings Tests/EzklAssets
-          git commit -m "Automatically updated EzklCoreBindings for EZKL"
-          
-          if ! git push origin; then
-            echo "::error::Failed to push changes to ${{ env.EZKL_SWIFT_PACKAGE_REPO }}. Please ensure that EZKL_PORTER_TOKEN has the correct permissions."
-            exit 1
-          fi
-
-      - name: Tag the latest commit
-        run: |
-          cd ezkl-swift-package
-          source $GITHUB_ENV
-          
-          # Tag the latest commit on the current branch
-          if git rev-parse "$TAG" >/dev/null 2>&1; then
-            echo "Tag $TAG already exists locally. Skipping tag creation."
-          else
-            git tag "$TAG"
-          fi
-
-          if ! git push origin "$TAG"; then
-            echo "::error::Failed to push tag '$TAG' to ${{ env.EZKL_SWIFT_PACKAGE_REPO }}. Please ensure EZKL_PORTER_TOKEN has correct permissions."
-            exit 1
-          fi

.github/workflows/tagging.yml

@@ -14,40 +14,6 @@ jobs:
       - uses: actions/checkout@v4
       - name: Bump version and push tag
         id: tag_version
-        uses: mathieudutour/github-tag-action@v6.2
+        uses: mathieudutour/github-tag-action@v6.1
         with:
           github_token: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Set Cargo.toml version to match github tag for docs
-        shell: bash
-        env:
-          RELEASE_TAG: ${{ steps.tag_version.outputs.new_tag }}
-        run: |
-          mv docs/python/src/conf.py docs/python/src/conf.py.orig
-          sed "s/0\\.0\\.0/${RELEASE_TAG//v}/" docs/python/src/conf.py.orig >docs/python/src/conf.py
-          rm docs/python/src/conf.py.orig
-          mv docs/python/requirements-docs.txt docs/python/requirements-docs.txt.orig
-          sed "s/0\\.0\\.0/${RELEASE_TAG//v}/" docs/python/requirements-docs.txt.orig >docs/python/requirements-docs.txt
-          rm docs/python/requirements-docs.txt.orig
-
-      - name: Commit files and create tag
-        env:
-          RELEASE_TAG: ${{ steps.tag_version.outputs.new_tag }}
-        run: |
-          git config --local user.email "github-actions[bot]@users.noreply.github.com"
-          git config --local user.name "github-actions[bot]"
-          git fetch --tags
-          git checkout -b release-$RELEASE_TAG
-          git add .
-          git commit -m "ci: update version string in docs"
-          git tag -d $RELEASE_TAG
-          git tag $RELEASE_TAG
-
-      - name: Push changes
-        uses: ad-m/github-push-action@master
-        env:
-          RELEASE_TAG: ${{ steps.tag_version.outputs.new_tag }}
-        with:
-          branch: release-${{ steps.tag_version.outputs.new_tag }}
-          force: true
-          tags: true

.github/workflows/wasm.yml

@@ -1,4 +1,4 @@
-name: Build and Publish EZKL Engine npm package
+name: Build and Publish WASM<>JS Bindings
 
 on:
   workflow_dispatch:
@@ -14,7 +14,7 @@ defaults:
   run:
     working-directory: .
 jobs:
-  publish-wasm-bindings:
+  wasm-publish:
     name: publish-wasm-bindings
     runs-on: ubuntu-latest
     if: startsWith(github.ref, 'refs/tags/')
@@ -22,24 +22,24 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions-rs/toolchain@v1
         with:
-          toolchain: nightly-2024-07-18
+          toolchain: nightly-2023-08-24
           override: true
           components: rustfmt, clippy
       - uses: jetli/wasm-pack-action@v0.4.0
-        with:
-          # Pin to version 0.12.1
-          version: 'v0.12.1'
       - name: Add wasm32-unknown-unknown target
         run: rustup target add wasm32-unknown-unknown
 
+      - name: Install wasm-server-runner
+        run: cargo install wasm-server-runner
+
       - name: Add rust-src
-        run: rustup component add rust-src --toolchain nightly-2024-07-18-x86_64-unknown-linux-gnu
+        run: rustup component add rust-src --toolchain nightly-2023-08-24-x86_64-unknown-linux-gnu
       - name: Install binaryen
         run: |
-          set -e
-          curl -L https://github.com/WebAssembly/binaryen/releases/download/version_116/binaryen-version_116-x86_64-linux.tar.gz | tar xzf -
-          export PATH=$PATH:$PWD/binaryen-version_116/bin
-          wasm-opt --version
+            set -e
+            curl -L https://github.com/WebAssembly/binaryen/releases/download/version_116/binaryen-version_116-x86_64-linux.tar.gz | tar xzf -
+            export PATH=$PATH:$PWD/binaryen-version_116/bin
+            wasm-opt --version
       - name: Build wasm files for both web and nodejs compilation targets
         run: |
           wasm-pack build --release --target nodejs --out-dir ./pkg/nodejs . -- -Z build-std="panic_abort,std"
@@ -65,7 +65,7 @@ jobs:
               "web/ezkl_bg.wasm",
               "web/ezkl.js",
               "web/ezkl.d.ts",
-              "web/snippets/**/*",
+              "web/snippets/wasm-bindgen-rayon-7afa899f36665473/src/workerHelpers.js",
               "web/package.json",
               "web/utils.js",
               "ezkl.d.ts"
@@ -82,10 +82,6 @@ jobs:
         run: |
           sed -i "3s|.*|imports['env'] = {memory: new WebAssembly.Memory({initial:20,maximum:65536,shared:true})}|" pkg/nodejs/ezkl.js
 
-      - name: Replace `import.meta.url` with `import.meta.resolve` definition in workerHelpers.js
-        run: |
-          find ./pkg/web/snippets -type f -name "*.js" -exec sed -i "s|import.meta.url|import.meta.resolve|" {} +
-
       - name: Add serialize and deserialize methods to nodejs bundle
         run: |
           echo '
@@ -99,7 +95,7 @@ jobs:
             const jsonObject = JSONBig.parse(string);
             return jsonObject;
           }
-
+          
           function serialize(data) { // data is an object // return a Uint8ClampedArray
             // Step 1: Stringify the Object with BigInt support
             if (typeof data === "object") {
@@ -107,11 +103,11 @@ jobs:
             }
             // Step 2: Encode the JSON String
             const uint8Array = new TextEncoder().encode(data);
-
+          
             // Step 3: Convert to Uint8ClampedArray
             return new Uint8ClampedArray(uint8Array.buffer);
           }
-
+          
           module.exports = {
             deserialize,
             serialize
@@ -130,7 +126,7 @@ jobs:
             const jsonObject = parse(string);
             return jsonObject;
           }
-
+          
           export function serialize(data) { // data is an object // return a Uint8ClampedArray
             // Step 1: Stringify the Object with BigInt support
             if (typeof data === "object") {
@@ -138,7 +134,7 @@ jobs:
             }
             // Step 2: Encode the JSON String
             const uint8Array = new TextEncoder().encode(data);
-
+          
             // Step 3: Convert to Uint8ClampedArray
             return new Uint8ClampedArray(uint8Array.buffer);
           }
@@ -181,58 +177,3 @@ jobs:
           npm publish
         env:
           NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
-
-
-  in-browser-evm-ver-publish:
-    name: publish-in-browser-evm-verifier-package
-    needs: [publish-wasm-bindings]
-    runs-on: ubuntu-latest
-    if: startsWith(github.ref, 'refs/tags/')
-    steps:
-      - uses: actions/checkout@v4
-      - name: Update version in package.json
-        shell: bash
-        env:
-          RELEASE_TAG: ${{ github.ref_name }}
-        run: |
-          sed -i "s|\"version\": \".*\"|\"version\": \"${{ github.ref_name }}\"|" in-browser-evm-verifier/package.json
-      - name: Prepare tag and fetch package integrity
-        run: |
-          CLEANED_TAG=${{ github.ref_name }} # Get the tag from ref_name
-          CLEANED_TAG="${CLEANED_TAG#v}" # Remove leading 'v'
-          echo "CLEANED_TAG=${CLEANED_TAG}" >> $GITHUB_ENV # Set it as an environment variable for later steps
-          ENGINE_INTEGRITY=$(npm view @ezkljs/engine@$CLEANED_TAG dist.integrity)
-          echo "ENGINE_INTEGRITY=$ENGINE_INTEGRITY" >> $GITHUB_ENV
-      - name: Update @ezkljs/engine version in package.json
-        shell: bash
-        env:
-          RELEASE_TAG: ${{ github.ref_name }}
-        run: |
-          sed -i "s|\"@ezkljs/engine\": \".*\"|\"@ezkljs/engine\": \"$CLEANED_TAG\"|" in-browser-evm-verifier/package.json
-      - name: Update the engine import in in-browser-evm-verifier to use @ezkljs/engine package instead of the local one;
-        run: |
-          sed -i "s|import { encodeVerifierCalldata } from '../nodejs/ezkl';|import { encodeVerifierCalldata } from '@ezkljs/engine';|" in-browser-evm-verifier/src/index.ts
-      - name: Update pnpm-lock.yaml versions and integrity
-        run: |
-          awk -v integrity="$ENGINE_INTEGRITY" -v tag="$CLEANED_TAG" '
-          NR==30{$0="    specifier: \"" tag "\""}
-          NR==31{$0="    version: \"" tag "\""}
-          NR==400{$0="  /@ezkljs/engine@" tag ":"}
-          NR==401{$0="    resolution: {integrity: \"" integrity "\"}"} 1' in-browser-evm-verifier/pnpm-lock.yaml > temp.yaml && mv temp.yaml in-browser-evm-verifier/pnpm-lock.yaml  
-      - name: Use pnpm 8
-        uses: pnpm/action-setup@v2
-        with:
-          version: 8
-      - name: Set up Node.js
-        uses: actions/setup-node@v3
-        with:
-          node-version: "18.12.1"
-          registry-url: "https://registry.npmjs.org"
-      - name: Publish to npm
-        run: |
-          cd in-browser-evm-verifier
-          pnpm install --frozen-lockfile
-          pnpm run build
-          pnpm publish --no-git-checks
-        env:
-          NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}  

.gitignore

@@ -1,5 +1,6 @@
 target
 pkg
+data
 *.csv
 !examples/notebooks/eth_price.csv
 *.ipynb_checkpoints
@@ -27,6 +28,7 @@ __pycache__/
 *.pyc
 *.pyo
 *.py[cod]
+bin/
 build/
 develop-eggs/
 dist/
@@ -43,9 +45,6 @@ var/
 *.whl
 *.bak
 node_modules
-/dist
 timingData.json
-!tests/assets/pk.key
-!tests/assets/vk.key
-docs/python/build
-!tests/assets/vk_aggr.key
+!tests/wasm/pk.key
+!tests/wasm/vk.key

.python-version

@@ -1 +0,0 @@
-3.12.1

.readthedocs.yaml

@@ -1,26 +0,0 @@
-# .readthedocs.yaml
-# Read the Docs configuration file
-# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
-
-version: 2
-
-build:
-  os: ubuntu-22.04
-  tools:
-    python: "3.12"
-
-# Build documentation in the "docs/" directory with Sphinx
-sphinx:
-  configuration: ./docs/python/src/conf.py
-
-# Optionally build your docs in additional formats such as PDF and ePub
-# formats:
-#    - pdf
-#    - epub
-
-# Optional but recommended, declare the Python requirements required
-# to build your documentation
-# See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html
-python:
-  install:
-  - requirements: ./docs/python/requirements-docs.txt

Cargo.toml

@@ -4,7 +4,6 @@ cargo-features = ["profile-rustflags"]
 name = "ezkl"
 version = "0.0.0"
 edition = "2021"
-default-run = "ezkl"
 
 # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
 
@@ -12,129 +11,74 @@ default-run = "ezkl"
 # Name to be imported within python
 # Example: import ezkl
 name = "ezkl"
-crate-type = ["cdylib", "rlib", "staticlib"]
+crate-type = ["cdylib", "rlib"]
 
 
 [dependencies]
-halo2_gadgets = { git = "https://github.com/zkonduit/halo2" }
-halo2curves = { git = "https://github.com/privacy-scaling-explorations/halo2curves", rev = "b753a832e92d5c86c5c997327a9cf9de86a18851", features = [
-    "derive_serde",
-] }
-halo2_proofs = { git = "https://github.com/zkonduit/halo2", package = "halo2_proofs", features = [
-    "circuit-params",
-] }
-rand = { version = "0.8", default-features = false }
-itertools = { version = "0.10.3", default-features = false }
-clap = { version = "4.5.3", features = ["derive"], optional = true }
-serde = { version = "1.0.126", features = ["derive"] }
-clap_complete = { version = "4.5.2", optional = true }
-log = { version = "0.4.17", default-features = false }
-thiserror = { version = "1.0.38", default-features = false }
-hex = { version = "0.4.3", default-features = false }
+halo2_gadgets = { git = "https://github.com/zkonduit/halo2", branch= "main" }
+halo2_proofs = { git = "https://github.com/zkonduit/halo2", branch= "main"  }
+halo2curves = { version = "0.6.0", features = ["derive_serde"] }
+rand = { version = "0.8", default_features = false }
+itertools = { version = "0.10.3", default_features = false }
+clap = { version = "4.3.3", features = ["derive"]}
+serde = { version = "1.0.126", features = ["derive"], optional = true }
+serde_json = { version = "1.0.97", default_features = false, features = ["float_roundtrip", "raw_value"], optional = true }
+log = { version = "0.4.17", default_features = false, optional = true }
+thiserror = { version = "1.0.38", default_features = false }
+hex = { version = "0.4.3", default_features = false }
 halo2_wrong_ecc = { git = "https://github.com/zkonduit/halo2wrong", branch = "ac/chunked-mv-lookup", package = "ecc" }
-snark-verifier = { git = "https://github.com/zkonduit/snark-verifier", branch = "ac/chunked-mv-lookup", features = [
-    "derive_serde",
-] }
-halo2_solidity_verifier = { git = "https://github.com/alexander-camuto/halo2-solidity-verifier", optional = true }
-maybe-rayon = { version = "0.1.1", default-features = false }
-bincode = { version = "1.3.3", default-features = false }
+snark-verifier = { git = "https://github.com/zkonduit/snark-verifier", branch = "ac/chunked-mv-lookup", features=["derive_serde"]}
+halo2_solidity_verifier = { git = "https://github.com/alexander-camuto/halo2-solidity-verifier",  branch= "main" }
+maybe-rayon = { version = "0.1.1",  default_features = false }
+bincode = { version = "1.3.3", default_features = false }
+ark-std = { version = "^0.3.0", default-features = false }
 unzip-n = "0.1.2"
 num = "0.4.1"
-portable-atomic = { version = "1.6.0", optional = true }
-tosubcommand = { git = "https://github.com/zkonduit/enum_to_subcommand", package = "tosubcommand", optional = true }
-semver = { version = "1.0.22", optional = true }
-
-[target.'cfg(not(target_arch = "wasm32"))'.dependencies]
-serde_json = { version = "1.0.97", features = ["float_roundtrip", "raw_value"] }
 
 # evm related deps
-alloy = { git = "https://github.com/alloy-rs/alloy", version = "0.1.0", rev = "5fbf57bac99edef9d8475190109a7ea9fb7e5e83", features = [
-    "provider-http",
-    "signers",
-    "contract",
-    "rpc-types-eth",
-    "signer-wallet",
-    "node-bindings",
-
-], optional = true }
-foundry-compilers = { version = "0.4.1", features = [
-    "svm-solc",
-], optional = true }
-ethabi = { version = "18", optional = true }
-indicatif = { version = "0.17.5", features = ["rayon"], optional = true }
-gag = { version = "1.0.0", default-features = false, optional = true }
+[target.'cfg(not(target_arch = "wasm32"))'.dependencies]
+ethers = { version = "2.0.7", default_features = false, features = ["ethers-solc"] }
+indicatif = {version = "0.17.5", features = ["rayon"]}
+gag =  { version = "1.0.0", default_features = false}
 instant = { version = "0.1" }
-reqwest = { version = "0.12.4", default-features = false, features = [
-    "default-tls",
-    "multipart",
-    "stream",
-], optional = true }
-openssl = { version = "0.10.55", features = ["vendored"], optional = true }
-tokio-postgres = { version = "0.7.10", optional = true }
-pg_bigdecimal = { version = "0.1.5", optional = true }
-lazy_static = { version = "1.4.0", optional = true }
-colored_json = { version = "3.0.1", default-features = false, optional = true }
-regex = { version = "1", default-features = false, optional = true }
-tokio = { version = "1.35.0", default-features = false, features = [
-    "macros",
-    "rt-multi-thread",
-], optional = true }
-pyo3 = { version = "0.23.2", features = [
-    "extension-module",
-    "abi3-py37",
-    "macros",
-], default-features = false, optional = true }
-pyo3-async-runtimes = { git = "https://github.com/PyO3/pyo3-async-runtimes", version = "0.23.0", features = [
-    "attributes",
-    "tokio-runtime",
-], default-features = false, optional = true }
-pyo3-log = { version = "0.12.0", default-features = false, optional = true }
-tract-onnx = { git = "https://github.com/sonos/tract/", rev = "37132e0397d0a73e5bd3a8615d932dabe44f6736", default-features = false, optional = true }
+reqwest = { version = "0.11.14", default-features = false, features = ["default-tls", "multipart", "stream"] }
+openssl = { version = "0.10.55", features = ["vendored"] }
+postgres = "0.19.5"
+pg_bigdecimal = "0.1.5"
+lazy_static = "1.4.0"
+colored_json =  { version = "3.0.1",  default_features = false, optional = true}
+plotters = { version = "0.3.0", default_features = false, optional = true }
+regex = { version = "1", default_features = false }
+tokio = { version = "1.26.0",  default_features = false, features = ["macros", "rt"] }
+tokio-util = { version = "0.7.9", features = ["codec"] }
+pyo3 = { version = "0.20.2", features = ["extension-module", "abi3-py37", "macros"],  default_features = false, optional = true }
+pyo3-asyncio = { version = "0.20.0",  features = ["attributes", "tokio-runtime"],  default_features = false, optional = true }
+pyo3-log = { version = "0.9.0", default_features = false, optional = true }
+tract-onnx = { git = "https://github.com/sonos/tract/", rev= "7b1aa33b2f7d1f19b80e270c83320f0f94daff69", default_features = false, optional = true }
 tabled = { version = "0.12.0", optional = true }
-metal = { git = "https://github.com/gfx-rs/metal-rs", optional = true }
-objc = { version = "0.2.4", optional = true }
-mimalloc = { version = "0.1", optional = true }
-pyo3-stub-gen = { version = "0.6.0", optional = true }
 
-# universal bindings
-uniffi = { version = "=0.28.0", optional = true }
-getrandom = { version = "0.2.8", optional = true }
-uniffi_bindgen = { version = "=0.28.0", optional = true }
-camino = { version = "^1.1", optional = true }
-uuid = { version = "1.10.0", features = ["v4"], optional = true }
 
 [target.'cfg(not(all(target_arch = "wasm32", target_os = "unknown")))'.dependencies]
-colored = { version = "2.0.0", default-features = false, optional = true }
-env_logger = { version = "0.10.0", default-features = false, optional = true }
-chrono = { version = "0.4.31", optional = true }
-sha256 = { version = "1.4.0", optional = true }
-
+colored = { version = "2.0.0",  default_features = false, optional = true}
+env_logger = { version = "0.10.0",  default_features = false, optional = true}
+chrono = "0.4.31"
+sha256 = "1.4.0"
 
 [target.'cfg(target_arch = "wasm32")'.dependencies]
-serde_json = { version = "1.0.97", default-features = false, features = [
-    "float_roundtrip",
-    "raw_value",
-] }
 getrandom = { version = "0.2.8", features = ["js"] }
-instant = { version = "0.1", features = ["wasm-bindgen", "inaccurate"] }
+instant = { version = "0.1", features = [ "wasm-bindgen", "inaccurate" ] }
 
 [target.'cfg(all(target_arch = "wasm32", target_os = "unknown"))'.dependencies]
-wasm-bindgen-rayon = { version = "1.2.1", optional = true }
-wasm-bindgen-test = "0.3.42"
-serde-wasm-bindgen = "0.6.5"
-wasm-bindgen = { version = "0.2.92", features = ["serde-serialize"] }
+wasm-bindgen-rayon = { version = "1.0", optional=true }
+wasm-bindgen-test = "0.3.34"
+serde-wasm-bindgen = "0.4"
+wasm-bindgen = { version = "0.2.81", features = ["serde-serialize"]}
 console_error_panic_hook = "0.1.7"
 wasm-bindgen-console-logger = "0.1.1"
 
 
-[target.'cfg(not(all(target_arch = "wasm32", target_os = "unknown")))'.dev-dependencies]
-criterion = { version = "0.5.1", features = ["html_reports"] }
-
-
-[build-dependencies]
-uniffi = { version = "0.28", features = ["build"], optional = true }
-
 [dev-dependencies]
+criterion = {version = "0.3",  features = ["html_reports"]}
 tempfile = "3.3.0"
 lazy_static = "1.4.0"
 mnist = "0.5"
@@ -147,10 +91,6 @@ shellexpand = "3.1.0"
 runner = 'wasm-bindgen-test-runner'
 
 
-[[bench]]
-name = "zero_finder"
-harness = false
-
 [[bench]]
 name = "accum_dot"
 harness = false
@@ -189,20 +129,16 @@ harness = false
 
 
 [[bench]]
-name = "sigmoid"
+name = "relu"
 harness = false
 
 [[bench]]
-name = "relu_lookupless"
-harness = false
-
-[[bench]]
-name = "accum_matmul_sigmoid"
+name = "accum_matmul_relu"
 harness = false
 
 
 [[bench]]
-name = "accum_matmul_sigmoid_overflow"
+name = "accum_matmul_relu_overflow"
 harness = false
 
 [[bin]]
@@ -211,93 +147,21 @@ test = false
 bench = false
 required-features = ["ezkl"]
 
-[[bin]]
-name = "ios_gen_bindings"
-required-features = ["ios-bindings", "uuid", "camino", "uniffi_bindgen"]
-
-[[bin]]
-name = "py_stub_gen"
-required-features = ["python-bindings"]
-
 [features]
 web = ["wasm-bindgen-rayon"]
-default = [
-    "ezkl",
-    "mv-lookup",
-    "precompute-coset",
-    "no-banner",
-    "parallel-poly-read",
-]
+default = ["ezkl", "mv-lookup"]
+render = ["halo2_proofs/dev-graph", "plotters"]
 onnx = ["dep:tract-onnx"]
-python-bindings = ["pyo3", "pyo3-log", "pyo3-async-runtimes", "pyo3-stub-gen"]
-ios-bindings = ["mv-lookup", "precompute-coset", "parallel-poly-read", "uniffi"]
-ios-bindings-test = ["ios-bindings", "uniffi/bindgen-tests"]
-ezkl = [
-    "onnx",
-    "dep:colored",
-    "dep:env_logger",
-    "tabled/color",
-    "serde_json/std",
-    "colored_json",
-    "dep:alloy",
-    "dep:foundry-compilers",
-    "dep:ethabi",
-    "dep:indicatif",
-    "dep:gag",
-    "dep:reqwest",
-    "dep:openssl",
-    "dep:tokio-postgres",
-    "dep:pg_bigdecimal",
-    "dep:lazy_static",
-    "dep:regex",
-    "dep:tokio",
-    "dep:mimalloc",
-    "dep:chrono",
-    "dep:sha256",
-    "dep:portable-atomic",
-    "dep:clap_complete",
-    "dep:halo2_solidity_verifier",
-    "dep:semver",
-    "dep:clap",
-    "dep:tosubcommand",
-]
-parallel-poly-read = [
-    "halo2_proofs/circuit-params",
-    "halo2_proofs/parallel-poly-read",
-]
-mv-lookup = [
-    "halo2_proofs/mv-lookup",
-    "snark-verifier/mv-lookup",
-    "halo2_solidity_verifier/mv-lookup",
-]
-asm = ["halo2curves/asm", "halo2_proofs/asm"]
-precompute-coset = ["halo2_proofs/precompute-coset"]
+python-bindings = ["pyo3", "pyo3-log", "pyo3-asyncio"]
+ezkl = ["onnx", "serde", "serde_json", "log", "colored", "env_logger", "tabled/color", "colored_json", "halo2_proofs/circuit-params"]
+mv-lookup = ["halo2_proofs/mv-lookup", "snark-verifier/mv-lookup", "halo2_solidity_verifier/mv-lookup"]
 det-prove = []
 icicle = ["halo2_proofs/icicle_gpu"]
 empty-cmd = []
-no-banner = []
-no-update = []
 
-
-[patch.'https://github.com/zkonduit/halo2']
-halo2_proofs = { git = "https://github.com/zkonduit/halo2#ee4e1a09ebdb1f79f797685b78951c6034c430a6", package = "halo2_proofs" }
-
-[patch.'https://github.com/zkonduit/halo2#0654e92bdf725fd44d849bfef3643870a8c7d50b']
-halo2_proofs = { git = "https://github.com/zkonduit/halo2#ee4e1a09ebdb1f79f797685b78951c6034c430a6", package = "halo2_proofs" }
-
-[patch.crates-io]
-uniffi_testing = { git = "https://github.com/ElusAegis/uniffi-rs", branch = "feat/testing-feature-build-fix" }
+# icicle patch to 0.1.0 if feature icicle is enabled
+[patch.'https://github.com/ingonyama-zk/icicle']
+icicle = { git = "https://github.com/ingonyama-zk/icicle?rev=45b00fb", package = "icicle", branch = "fix/vhnat/ezkl-build-fix"}
 
 [profile.release]
-rustflags = ["-C", "relocation-model=pic"]
-lto = "fat"
-codegen-units = 1
-# panic = "abort"
-
-
-[package.metadata.wasm-pack.profile.release]
-wasm-opt = [
-    "-O4",
-    "--flexible-inline-max-function-size",
-    "4294967295",
-]
+rustflags = [ "-C", "relocation-model=pic" ]

README.md

@@ -31,9 +31,9 @@ EZKL
 
 [![Notebook](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/zkonduit/ezkl/blob/main/examples/notebooks/simple_demo_all_public.ipynb) 
 
-In the backend we use the collaboratively-developed [Halo2](https://github.com/privacy-scaling-explorations/halo2) as a proof system.
+In the backend we use [Halo2](https://github.com/privacy-scaling-explorations/halo2) as a proof system.
 
-The generated proofs can then be verified with much less computational resources, including on-chain (with the Ethereum Virtual Machine), in a browser, or on a device. 
+The generated proofs can then be used on-chain to verify computation, only the Ethereum Virtual Machine (EVM) is supported at the moment.
 
 - If you have any questions, we'd love for you to open up a discussion topic in [Discussions](https://github.com/zkonduit/ezkl/discussions). Alternatively, you can join the ✨[EZKL Community Telegram Group](https://t.me/+QRzaRvTPIthlYWMx)💫.
 
@@ -45,8 +45,6 @@ The generated proofs can then be verified with much less computational resources
 
 ### getting started ⚙️
 
-The easiest way to get started is to try out a notebook. 
-
 #### Python
 Install the python bindings by calling.
 
@@ -72,14 +70,10 @@ curl https://raw.githubusercontent.com/zkonduit/ezkl/main/install_ezkl_cli.sh |
 
 https://user-images.githubusercontent.com/45801863/236771676-5bbbbfd1-ba6f-418a-902e-20738ce0e9f0.mp4
 
-For more details visit the [docs](https://docs.ezkl.xyz). The CLI is faster than Python, as it has less overhead. For even more speed and convenience, check out the [remote proving service](https://ei40vx5x6j0.typeform.com/to/sFv1oxvb), which feels like the CLI but is backed by a tuned cluster.
+For more details visit the [docs](https://docs.ezkl.xyz).
 
 Build the auto-generated rust documentation and open the docs in your browser locally. `cargo doc --open`
 
-#### In-browser EVM verifier
-
-As an alternative to running the native Halo2 verifier as a WASM binding in the browser, you can use the in-browser EVM verifier. The source code of which you can find in the `in-browser-evm-verifier` directory and a README with instructions on how to use it.
-
 
 ### building the project 🔨
 
@@ -91,9 +85,9 @@ You can install the library from source
 cargo install --locked --path .
 ```
 
-`ezkl` now auto-manages solc installation for you.
-
-
+You will need a functioning installation of `solc` in order to run `ezkl` properly.
+[solc-select](https://github.com/crytic/solc-select) is recommended.
+Follow the instructions on [solc-select](https://github.com/crytic/solc-select) to activate `solc` in your environment.
 
 
 #### building python bindings
@@ -126,6 +120,17 @@ unset ENABLE_ICICLE_GPU
 
 **NOTE:** Even with the above environment variable set, icicle is disabled for circuits where k <= 8. To change the value of `k` where icicle is enabled, you can set the environment variable `ICICLE_SMALL_K`.
 
+### repos
+
+The EZKL project has several libraries and repos. 
+
+| Repo | Description |
+| --- | --- |
+| [@zkonduit/ezkl](https://github.com/zkonduit/ezkl) | the main ezkl repo in rust with wasm and python bindings |
+| [@zkonduit/ezkljs](https://github.com/zkonduit/ezkljs) | typescript and javascript tooling to help integrate ezkl into web apps |
+
+----------------------
+
 ### contributing 🌎
 
 If you're interested in contributing and are unsure where to start, reach out to one of the maintainers:
@@ -142,7 +147,7 @@ More broadly:
 - To report bugs or request new features [create a new issue within Issues](https://github.com/zkonduit/ezkl/issues) to inform the greater community.
 
 
-Any contribution intentionally submitted for inclusion in the work by you shall be licensed to Zkonduit Inc. under the terms and conditions specified in the [CLA](https://github.com/zkonduit/ezkl/blob/main/cla.md), which you agree to by intentionally submitting a contribution. In particular, you have the right to submit the contribution and we can distribute it, among other terms and conditions. 
+Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you shall be licensed to Zkonduit Inc. under the terms and conditions specified in the [CLA](https://github.com/zkonduit/ezkl/blob/main/cla.md), which you agree to by intentionally submitting a contribution. In particular, you have the right to submit the contribution and we can distribute it under the Apache 2.0 license, among other terms and conditions. 
 
 ### no security guarantees
 
@@ -150,7 +155,4 @@ Ezkl is unaudited, beta software undergoing rapid development. There may be bugs
 
 > NOTE: Because operations are quantized when they are converted from an onnx file to a zk-circuit, outputs in python and ezkl may differ slightly. 
 
-### no warranty
 
-Copyright (c) 2024 Zkonduit Inc. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

abis/DataAttestationSingle.json

@@ -1,147 +0,0 @@
-[
-    {
-        "inputs": [
-            {
-                "internalType": "address",
-                "name": "_contractAddresses",
-                "type": "address"
-            },
-            {
-                "internalType": "bytes",
-                "name": "_callData",
-                "type": "bytes"
-            },
-            {
-                "internalType": "uint256",
-                "name": "_decimals",
-                "type": "uint256"
-            },
-            {
-                "internalType": "uint256[]",
-                "name": "_scales",
-                "type": "uint256[]"
-            },
-            {
-                "internalType": "uint8",
-                "name": "_instanceOffset",
-                "type": "uint8"
-            },
-            {
-                "internalType": "address",
-                "name": "_admin",
-                "type": "address"
-            }
-        ],
-        "stateMutability": "nonpayable",
-        "type": "constructor"
-    },
-    {
-        "inputs": [],
-        "name": "accountCall",
-        "outputs": [
-            {
-                "internalType": "address",
-                "name": "contractAddress",
-                "type": "address"
-            },
-            {
-                "internalType": "bytes",
-                "name": "callData",
-                "type": "bytes"
-            },
-            {
-                "internalType": "uint256",
-                "name": "decimals",
-                "type": "uint256"
-            }
-        ],
-        "stateMutability": "view",
-        "type": "function"
-    },
-    {
-        "inputs": [],
-        "name": "admin",
-        "outputs": [
-            {
-                "internalType": "address",
-                "name": "",
-                "type": "address"
-            }
-        ],
-        "stateMutability": "view",
-        "type": "function"
-    },
-    {
-        "inputs": [],
-        "name": "instanceOffset",
-        "outputs": [
-            {
-                "internalType": "uint8",
-                "name": "",
-                "type": "uint8"
-            }
-        ],
-        "stateMutability": "view",
-        "type": "function"
-    },
-    {
-        "inputs": [
-            {
-                "internalType": "address",
-                "name": "_contractAddresses",
-                "type": "address"
-            },
-            {
-                "internalType": "bytes",
-                "name": "_callData",
-                "type": "bytes"
-            },
-            {
-                "internalType": "uint256",
-                "name": "_decimals",
-                "type": "uint256"
-            }
-        ],
-        "name": "updateAccountCalls",
-        "outputs": [],
-        "stateMutability": "nonpayable",
-        "type": "function"
-    },
-    {
-        "inputs": [
-            {
-                "internalType": "address",
-                "name": "_admin",
-                "type": "address"
-            }
-        ],
-        "name": "updateAdmin",
-        "outputs": [],
-        "stateMutability": "nonpayable",
-        "type": "function"
-    },
-    {
-        "inputs": [
-            {
-                "internalType": "address",
-                "name": "verifier",
-                "type": "address"
-            },
-            {
-                "internalType": "bytes",
-                "name": "encoded",
-                "type": "bytes"
-            }
-        ],
-        "name": "verifyWithDataAttestation",
-        "outputs": [
-            {
-                "internalType": "bool",
-                "name": "",
-                "type": "bool"
-            }
-        ],
-        "stateMutability": "view",
-        "type": "function"
-    }
-]

abis/QuantizeData.json

@@ -1,23 +1,4 @@
 [
-	{
-		"inputs": [
-			{
-				"internalType": "int256[]",
-				"name": "quantized_data",
-				"type": "int256[]"
-			}
-		],
-		"name": "check_is_valid_field_element",
-		"outputs": [
-			{
-				"internalType": "uint256[]",
-				"name": "output",
-				"type": "uint256[]"
-			}
-		],
-		"stateMutability": "pure",
-		"type": "function"
-	},
 	{
 		"inputs": [
 			{
@@ -36,12 +17,12 @@
 				"type": "uint256[]"
 			}
 		],
-		"name": "quantize_data_multi",
+		"name": "quantize_data",
 		"outputs": [
 			{
-				"internalType": "int256[]",
+				"internalType": "int128[]",
 				"name": "quantized_data",
-				"type": "int256[]"
+				"type": "int128[]"
 			}
 		],
 		"stateMutability": "pure",
@@ -50,38 +31,9 @@
 	{
 		"inputs": [
 			{
-				"internalType": "bytes",
-				"name": "data",
-				"type": "bytes"
-			},
-			{
-				"internalType": "uint256",
-				"name": "decimals",
-				"type": "uint256"
-			},
-			{
-				"internalType": "uint256[]",
-				"name": "scales",
-				"type": "uint256[]"
-			}
-		],
-		"name": "quantize_data_single",
-		"outputs": [
-			{
-				"internalType": "int256[]",
+				"internalType": "int128[]",
 				"name": "quantized_data",
-				"type": "int256[]"
-			}
-		],
-		"stateMutability": "pure",
-		"type": "function"
-	},
-	{
-		"inputs": [
-			{
-				"internalType": "int64[]",
-				"name": "quantized_data",
-				"type": "int64[]"
+				"type": "int128[]"
 			}
 		],
 		"name": "to_field_element",

benches/accum_conv.rs

@@ -2,13 +2,11 @@ use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Through
 use ezkl::circuit::poly::PolyOp;
 use ezkl::circuit::*;
 use ezkl::pfsys::create_keys;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::srs::gen_srs;
 use ezkl::pfsys::TranscriptType;
 use ezkl::tensor::*;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::ProverSHPLONK;
-use halo2_proofs::poly::kzg::multiopen::VerifierSHPLONK;
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     arithmetic::Field,
@@ -17,7 +15,6 @@ use halo2_proofs::{
 };
 use halo2curves::bn256::{Bn256, Fr};
 use rand::rngs::OsRng;
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 
 static mut KERNEL_HEIGHT: usize = 2;
 static mut KERNEL_WIDTH: usize = 2;
@@ -64,15 +61,14 @@ impl Circuit<Fr> for MyCircuit {
         layouter.assign_region(
             || "",
             |region| {
-                let mut region = region::RegionCtx::new(region, 0, 1, 1024, 2);
+                let mut region = region::RegionCtx::new(region, 0, 1);
                 config
                     .layout(
                         &mut region,
                         &[self.image.clone(), self.kernel.clone(), self.bias.clone()],
                         Box::new(PolyOp::Conv {
-                            padding: vec![(0, 0)],
-                            stride: vec![1; 2],
-                            group: 1,
+                            padding: [(0, 0); 2],
+                            stride: (1, 1),
                         }),
                     )
                     .unwrap();
@@ -125,35 +121,28 @@ fn runcnvrl(c: &mut Criterion) {
             group.throughput(Throughput::Elements(*size as u64));
             group.bench_with_input(BenchmarkId::new("pk", size), &size, |b, &_| {
                 b.iter(|| {
-                    create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
-                        .unwrap();
+                    create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(
+                        &circuit, &params, true,
+                    )
+                    .unwrap();
                 });
             });
 
-            let pk = create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
-                .unwrap();
+            let pk =
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
+                    .unwrap();
 
             group.throughput(Throughput::Elements(*size as u64));
             group.bench_with_input(BenchmarkId::new("prove", size), &size, |b, &_| {
                 b.iter(|| {
-                    let prover = create_proof_circuit::<
-                        KZGCommitmentScheme<_>,
-                        MyCircuit,
-                        ProverSHPLONK<_>,
-                        VerifierSHPLONK<_>,
-                        SingleStrategy<_>,
-                        _,
-                        EvmTranscript<_, _, _, _>,
-                        EvmTranscript<_, _, _, _>,
-                    >(
+                    let prover = create_proof_circuit_kzg(
                         circuit.clone(),
-                        vec![],
                         &params,
-                        &pk,
-                        CheckMode::UNSAFE,
-                        ezkl::Commitments::KZG,
-                        TranscriptType::EVM,
                         None,
+                        &pk,
+                        TranscriptType::EVM,
+                        SingleStrategy::new(&params),
+                        CheckMode::UNSAFE,
                         None,
                     );
                     prover.unwrap();

benches/accum_dot.rs

@@ -1,13 +1,11 @@
 use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Throughput};
 use ezkl::circuit::poly::PolyOp;
 use ezkl::circuit::*;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::TranscriptType;
 use ezkl::pfsys::{create_keys, srs::gen_srs};
 use ezkl::tensor::*;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::ProverSHPLONK;
-use halo2_proofs::poly::kzg::multiopen::VerifierSHPLONK;
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     arithmetic::Field,
@@ -16,7 +14,6 @@ use halo2_proofs::{
 };
 use halo2curves::bn256::{Bn256, Fr};
 use rand::rngs::OsRng;
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 use std::marker::PhantomData;
 
 static mut LEN: usize = 4;
@@ -55,7 +52,7 @@ impl Circuit<Fr> for MyCircuit {
         layouter.assign_region(
             || "",
             |region| {
-                let mut region = region::RegionCtx::new(region, 0, 1, 1024, 2);
+                let mut region = region::RegionCtx::new(region, 0, 1);
                 config
                     .layout(
                         &mut region,
@@ -93,35 +90,25 @@ fn rundot(c: &mut Criterion) {
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("pk", len), &len, |b, &_| {
             b.iter(|| {
-                create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
                     .unwrap();
             });
         });
 
-        let pk =
-            create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true).unwrap();
+        let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
+            .unwrap();
 
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("prove", len), &len, |b, &_| {
             b.iter(|| {
-                let prover = create_proof_circuit::<
-                    KZGCommitmentScheme<_>,
-                    MyCircuit,
-                    ProverSHPLONK<_>,
-                    VerifierSHPLONK<_>,
-                    SingleStrategy<_>,
-                    _,
-                    EvmTranscript<_, _, _, _>,
-                    EvmTranscript<_, _, _, _>,
-                >(
+                let prover = create_proof_circuit_kzg(
                     circuit.clone(),
-                    vec![],
                     &params,
-                    &pk,
-                    CheckMode::UNSAFE,
-                    ezkl::Commitments::KZG,
-                    TranscriptType::EVM,
                     None,
+                    &pk,
+                    TranscriptType::EVM,
+                    SingleStrategy::new(&params),
+                    CheckMode::UNSAFE,
                     None,
                 );
                 prover.unwrap();

benches/accum_einsum_matmul.rs

@@ -1,13 +1,11 @@
 use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Throughput};
 use ezkl::circuit::poly::PolyOp;
 use ezkl::circuit::*;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::TranscriptType;
 use ezkl::pfsys::{create_keys, srs::gen_srs};
 use ezkl::tensor::*;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::ProverSHPLONK;
-use halo2_proofs::poly::kzg::multiopen::VerifierSHPLONK;
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     arithmetic::Field,
@@ -16,7 +14,6 @@ use halo2_proofs::{
 };
 use halo2curves::bn256::{Bn256, Fr};
 use rand::rngs::OsRng;
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 use std::marker::PhantomData;
 
 static mut LEN: usize = 4;
@@ -57,7 +54,7 @@ impl Circuit<Fr> for MyCircuit {
         layouter.assign_region(
             || "",
             |region| {
-                let mut region = region::RegionCtx::new(region, 0, 1, 1024, 2);
+                let mut region = region::RegionCtx::new(region, 0, 1);
                 config
                     .layout(
                         &mut region,
@@ -97,35 +94,25 @@ fn runmatmul(c: &mut Criterion) {
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("pk", len), &len, |b, &_| {
             b.iter(|| {
-                create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
                     .unwrap();
             });
         });
 
-        let pk =
-            create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true).unwrap();
+        let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
+            .unwrap();
 
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("prove", len), &len, |b, &_| {
             b.iter(|| {
-                let prover = create_proof_circuit::<
-                    KZGCommitmentScheme<_>,
-                    MyCircuit,
-                    ProverSHPLONK<_>,
-                    VerifierSHPLONK<_>,
-                    SingleStrategy<_>,
-                    _,
-                    EvmTranscript<_, _, _, _>,
-                    EvmTranscript<_, _, _, _>,
-                >(
+                let prover = create_proof_circuit_kzg(
                     circuit.clone(),
-                    vec![],
                     &params,
-                    &pk,
-                    CheckMode::UNSAFE,
-                    ezkl::Commitments::KZG,
-                    TranscriptType::EVM,
                     None,
+                    &pk,
+                    TranscriptType::EVM,
+                    SingleStrategy::new(&params),
+                    CheckMode::UNSAFE,
                     None,
                 );
                 prover.unwrap();

benches/accum_matmul_relu.rs

@@ -4,20 +4,17 @@ use ezkl::circuit::*;
 
 use ezkl::circuit::lookup::LookupOp;
 use ezkl::circuit::poly::PolyOp;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::TranscriptType;
 use ezkl::pfsys::{create_keys, srs::gen_srs};
 use ezkl::tensor::*;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::ProverSHPLONK;
-use halo2_proofs::poly::kzg::multiopen::VerifierSHPLONK;
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     circuit::{Layouter, SimpleFloorPlanner, Value},
     plonk::{Circuit, ConstraintSystem, Error},
 };
 use halo2curves::bn256::{Bn256, Fr};
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 use std::marker::PhantomData;
 
 const BITS: Range = (-32768, 32768);
@@ -57,15 +54,7 @@ impl Circuit<Fr> for MyCircuit {
 
         // sets up a new relu table
         base_config
-            .configure_lookup(
-                cs,
-                &b,
-                &output,
-                &a,
-                BITS,
-                K,
-                &LookupOp::Sigmoid { scale: 1.0.into() },
-            )
+            .configure_lookup(cs, &b, &output, &a, BITS, K, &LookupOp::ReLU)
             .unwrap();
 
         MyConfig { base_config }
@@ -83,18 +72,14 @@ impl Circuit<Fr> for MyCircuit {
                 let op = PolyOp::Einsum {
                     equation: "ij,jk->ik".to_string(),
                 };
-                let mut region = region::RegionCtx::new(region, 0, 1, 1024, 2);
+                let mut region = region::RegionCtx::new(region, 0, 1);
                 let output = config
                     .base_config
                     .layout(&mut region, &self.inputs, Box::new(op))
                     .unwrap();
                 let _output = config
                     .base_config
-                    .layout(
-                        &mut region,
-                        &[output.unwrap()],
-                        Box::new(LookupOp::Sigmoid { scale: 1.0.into() }),
-                    )
+                    .layout(&mut region, &[output.unwrap()], Box::new(LookupOp::ReLU))
                     .unwrap();
                 Ok(())
             },
@@ -127,35 +112,25 @@ fn runmatmul(c: &mut Criterion) {
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("pk", len), &len, |b, &_| {
             b.iter(|| {
-                create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
                     .unwrap();
             });
         });
 
-        let pk =
-            create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true).unwrap();
+        let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
+            .unwrap();
 
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("prove", len), &len, |b, &_| {
             b.iter(|| {
-                let prover = create_proof_circuit::<
-                    KZGCommitmentScheme<_>,
-                    MyCircuit,
-                    ProverSHPLONK<_>,
-                    VerifierSHPLONK<_>,
-                    SingleStrategy<_>,
-                    _,
-                    EvmTranscript<_, _, _, _>,
-                    EvmTranscript<_, _, _, _>,
-                >(
+                let prover = create_proof_circuit_kzg(
                     circuit.clone(),
-                    vec![],
                     &params,
-                    &pk,
-                    CheckMode::UNSAFE,
-                    ezkl::Commitments::KZG,
-                    TranscriptType::EVM,
                     None,
+                    &pk,
+                    TranscriptType::EVM,
+                    SingleStrategy::new(&params),
+                    CheckMode::SAFE,
                     None,
                 );
                 prover.unwrap();

benches/accum_matmul_relu_overflow.rs

@@ -4,20 +4,17 @@ use ezkl::circuit::*;
 use ezkl::circuit::lookup::LookupOp;
 use ezkl::circuit::poly::PolyOp;
 use ezkl::circuit::table::Range;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::TranscriptType;
 use ezkl::pfsys::{create_keys, srs::gen_srs};
 use ezkl::tensor::*;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::ProverSHPLONK;
-use halo2_proofs::poly::kzg::multiopen::VerifierSHPLONK;
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     circuit::{Layouter, SimpleFloorPlanner, Value},
     plonk::{Circuit, ConstraintSystem, Error},
 };
 use halo2curves::bn256::{Bn256, Fr};
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 use std::marker::PhantomData;
 
 const BITS: Range = (-8180, 8180);
@@ -58,15 +55,7 @@ impl Circuit<Fr> for MyCircuit {
 
         // sets up a new relu table
         base_config
-            .configure_lookup(
-                cs,
-                &b,
-                &output,
-                &a,
-                BITS,
-                k,
-                &LookupOp::Sigmoid { scale: 1.0.into() },
-            )
+            .configure_lookup(cs, &b, &output, &a, BITS, k, &LookupOp::ReLU)
             .unwrap();
 
         MyConfig { base_config }
@@ -84,18 +73,14 @@ impl Circuit<Fr> for MyCircuit {
                 let op = PolyOp::Einsum {
                     equation: "ij,jk->ik".to_string(),
                 };
-                let mut region = region::RegionCtx::new(region, 0, 1, 1024, 2);
+                let mut region = region::RegionCtx::new(region, 0, 1);
                 let output = config
                     .base_config
                     .layout(&mut region, &self.inputs, Box::new(op))
                     .unwrap();
                 let _output = config
                     .base_config
-                    .layout(
-                        &mut region,
-                        &[output.unwrap()],
-                        Box::new(LookupOp::Sigmoid { scale: 1.0.into() }),
-                    )
+                    .layout(&mut region, &[output.unwrap()], Box::new(LookupOp::ReLU))
                     .unwrap();
                 Ok(())
             },
@@ -130,35 +115,25 @@ fn runmatmul(c: &mut Criterion) {
         group.throughput(Throughput::Elements(k as u64));
         group.bench_with_input(BenchmarkId::new("pk", k), &k, |b, &_| {
             b.iter(|| {
-                create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
                     .unwrap();
             });
         });
 
-        let pk =
-            create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true).unwrap();
+        let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
+            .unwrap();
 
         group.throughput(Throughput::Elements(k as u64));
         group.bench_with_input(BenchmarkId::new("prove", k), &k, |b, &_| {
             b.iter(|| {
-                let prover = create_proof_circuit::<
-                    KZGCommitmentScheme<_>,
-                    MyCircuit,
-                    ProverSHPLONK<_>,
-                    VerifierSHPLONK<_>,
-                    SingleStrategy<_>,
-                    _,
-                    EvmTranscript<_, _, _, _>,
-                    EvmTranscript<_, _, _, _>,
-                >(
+                let prover = create_proof_circuit_kzg(
                     circuit.clone(),
-                    vec![],
                     &params,
-                    &pk,
-                    CheckMode::UNSAFE,
-                    ezkl::Commitments::KZG,
-                    TranscriptType::EVM,
                     None,
+                    &pk,
+                    TranscriptType::EVM,
+                    SingleStrategy::new(&params),
+                    CheckMode::SAFE,
                     None,
                 );
                 prover.unwrap();

benches/accum_sum.rs

@@ -1,13 +1,11 @@
 use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Throughput};
 use ezkl::circuit::poly::PolyOp;
 use ezkl::circuit::*;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::TranscriptType;
 use ezkl::pfsys::{create_keys, srs::gen_srs};
 use ezkl::tensor::*;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::ProverSHPLONK;
-use halo2_proofs::poly::kzg::multiopen::VerifierSHPLONK;
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     arithmetic::Field,
@@ -16,7 +14,6 @@ use halo2_proofs::{
 };
 use halo2curves::bn256::{Bn256, Fr};
 use rand::rngs::OsRng;
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 use std::marker::PhantomData;
 
 static mut LEN: usize = 4;
@@ -55,7 +52,7 @@ impl Circuit<Fr> for MyCircuit {
         layouter.assign_region(
             || "",
             |region| {
-                let mut region = region::RegionCtx::new(region, 0, 1, 1024, 2);
+                let mut region = region::RegionCtx::new(region, 0, 1);
                 config
                     .layout(
                         &mut region,
@@ -89,35 +86,25 @@ fn runsum(c: &mut Criterion) {
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("pk", len), &len, |b, &_| {
             b.iter(|| {
-                create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
                     .unwrap();
             });
         });
 
-        let pk =
-            create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true).unwrap();
+        let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
+            .unwrap();
 
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("prove", len), &len, |b, &_| {
             b.iter(|| {
-                let prover = create_proof_circuit::<
-                    KZGCommitmentScheme<_>,
-                    MyCircuit,
-                    ProverSHPLONK<_>,
-                    VerifierSHPLONK<_>,
-                    SingleStrategy<_>,
-                    _,
-                    EvmTranscript<_, _, _, _>,
-                    EvmTranscript<_, _, _, _>,
-                >(
+                let prover = create_proof_circuit_kzg(
                     circuit.clone(),
-                    vec![],
                     &params,
-                    &pk,
-                    CheckMode::UNSAFE,
-                    ezkl::Commitments::KZG,
-                    TranscriptType::EVM,
                     None,
+                    &pk,
+                    TranscriptType::EVM,
+                    SingleStrategy::new(&params),
+                    CheckMode::UNSAFE,
                     None,
                 );
                 prover.unwrap();

benches/accum_sumpool.rs

@@ -2,13 +2,11 @@ use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Through
 use ezkl::circuit::hybrid::HybridOp;
 use ezkl::circuit::*;
 use ezkl::pfsys::create_keys;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::srs::gen_srs;
 use ezkl::pfsys::TranscriptType;
 use ezkl::tensor::*;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::ProverSHPLONK;
-use halo2_proofs::poly::kzg::multiopen::VerifierSHPLONK;
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     arithmetic::Field,
@@ -17,7 +15,6 @@ use halo2_proofs::{
 };
 use halo2curves::bn256::{Bn256, Fr};
 use rand::rngs::OsRng;
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 
 static mut IMAGE_HEIGHT: usize = 2;
 static mut IMAGE_WIDTH: usize = 2;
@@ -59,15 +56,15 @@ impl Circuit<Fr> for MyCircuit {
         layouter.assign_region(
             || "",
             |region| {
-                let mut region = region::RegionCtx::new(region, 0, 1, 1024, 2);
+                let mut region = region::RegionCtx::new(region, 0, 1);
                 config
                     .layout(
                         &mut region,
                         &[self.image.clone()],
                         Box::new(HybridOp::SumPool {
-                            padding: vec![(0, 0); 2],
-                            stride: vec![1, 1],
-                            kernel_shape: vec![2, 2],
+                            padding: [(0, 0); 2],
+                            stride: (1, 1),
+                            kernel_shape: (2, 2),
                             normalized: false,
                         }),
                     )
@@ -104,35 +101,28 @@ fn runsumpool(c: &mut Criterion) {
             group.throughput(Throughput::Elements(*size as u64));
             group.bench_with_input(BenchmarkId::new("pk", size), &size, |b, &_| {
                 b.iter(|| {
-                    create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
-                        .unwrap();
+                    create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(
+                        &circuit, &params, true,
+                    )
+                    .unwrap();
                 });
             });
 
-            let pk = create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
-                .unwrap();
+            let pk =
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
+                    .unwrap();
 
             group.throughput(Throughput::Elements(*size as u64));
             group.bench_with_input(BenchmarkId::new("prove", size), &size, |b, &_| {
                 b.iter(|| {
-                    let prover = create_proof_circuit::<
-                        KZGCommitmentScheme<_>,
-                        MyCircuit,
-                        ProverSHPLONK<_>,
-                        VerifierSHPLONK<_>,
-                        SingleStrategy<_>,
-                        _,
-                        EvmTranscript<_, _, _, _>,
-                        EvmTranscript<_, _, _, _>,
-                    >(
+                    let prover = create_proof_circuit_kzg(
                         circuit.clone(),
-                        vec![],
                         &params,
-                        &pk,
-                        CheckMode::UNSAFE,
-                        ezkl::Commitments::KZG,
-                        TranscriptType::EVM,
                         None,
+                        &pk,
+                        TranscriptType::EVM,
+                        SingleStrategy::new(&params),
+                        CheckMode::UNSAFE,
                         None,
                     );
                     prover.unwrap();

benches/pairwise_add.rs

@@ -1,13 +1,11 @@
 use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Throughput};
 use ezkl::circuit::poly::PolyOp;
 use ezkl::circuit::*;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::TranscriptType;
 use ezkl::pfsys::{create_keys, srs::gen_srs};
 use ezkl::tensor::*;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::ProverSHPLONK;
-use halo2_proofs::poly::kzg::multiopen::VerifierSHPLONK;
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     arithmetic::Field,
@@ -16,7 +14,6 @@ use halo2_proofs::{
 };
 use halo2curves::bn256::{Bn256, Fr};
 use rand::rngs::OsRng;
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 use std::marker::PhantomData;
 
 static mut LEN: usize = 4;
@@ -55,7 +52,7 @@ impl Circuit<Fr> for MyCircuit {
         layouter.assign_region(
             || "",
             |region| {
-                let mut region = region::RegionCtx::new(region, 0, 1, 1024, 2);
+                let mut region = region::RegionCtx::new(region, 0, 1);
                 config
                     .layout(&mut region, &self.inputs, Box::new(PolyOp::Add))
                     .unwrap();
@@ -87,35 +84,25 @@ fn runadd(c: &mut Criterion) {
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("pk", len), &len, |b, &_| {
             b.iter(|| {
-                create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
                     .unwrap();
             });
         });
 
-        let pk =
-            create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true).unwrap();
+        let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
+            .unwrap();
 
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("prove", len), &len, |b, &_| {
             b.iter(|| {
-                let prover = create_proof_circuit::<
-                    KZGCommitmentScheme<_>,
-                    MyCircuit,
-                    ProverSHPLONK<_>,
-                    VerifierSHPLONK<_>,
-                    SingleStrategy<_>,
-                    _,
-                    EvmTranscript<_, _, _, _>,
-                    EvmTranscript<_, _, _, _>,
-                >(
+                let prover = create_proof_circuit_kzg(
                     circuit.clone(),
-                    vec![],
                     &params,
-                    &pk,
-                    CheckMode::UNSAFE,
-                    ezkl::Commitments::KZG,
-                    TranscriptType::EVM,
                     None,
+                    &pk,
+                    TranscriptType::EVM,
+                    SingleStrategy::new(&params),
+                    CheckMode::SAFE,
                     None,
                 );
                 prover.unwrap();

benches/pairwise_pow.rs

@@ -2,13 +2,11 @@ use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Through
 use ezkl::circuit::poly::PolyOp;
 use ezkl::circuit::region::RegionCtx;
 use ezkl::circuit::*;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::TranscriptType;
 use ezkl::pfsys::{create_keys, srs::gen_srs};
 use ezkl::tensor::*;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::ProverSHPLONK;
-use halo2_proofs::poly::kzg::multiopen::VerifierSHPLONK;
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     arithmetic::Field,
@@ -17,7 +15,6 @@ use halo2_proofs::{
 };
 use halo2curves::bn256::{Bn256, Fr};
 use rand::rngs::OsRng;
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 use std::marker::PhantomData;
 
 static mut LEN: usize = 4;
@@ -56,7 +53,7 @@ impl Circuit<Fr> for MyCircuit {
         layouter.assign_region(
             || "",
             |region| {
-                let mut region = RegionCtx::new(region, 0, 1, 1024, 2);
+                let mut region = RegionCtx::new(region, 0, 1);
                 config
                     .layout(&mut region, &self.inputs, Box::new(PolyOp::Pow(4)))
                     .unwrap();
@@ -86,35 +83,25 @@ fn runpow(c: &mut Criterion) {
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("pk", len), &len, |b, &_| {
             b.iter(|| {
-                create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
                     .unwrap();
             });
         });
 
-        let pk =
-            create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true).unwrap();
+        let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
+            .unwrap();
 
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("prove", len), &len, |b, &_| {
             b.iter(|| {
-                let prover = create_proof_circuit::<
-                    KZGCommitmentScheme<_>,
-                    MyCircuit,
-                    ProverSHPLONK<_>,
-                    VerifierSHPLONK<_>,
-                    SingleStrategy<_>,
-                    _,
-                    EvmTranscript<_, _, _, _>,
-                    EvmTranscript<_, _, _, _>,
-                >(
+                let prover = create_proof_circuit_kzg(
                     circuit.clone(),
-                    vec![],
                     &params,
-                    &pk,
-                    CheckMode::UNSAFE,
-                    ezkl::Commitments::KZG,
-                    TranscriptType::EVM,
                     None,
+                    &pk,
+                    TranscriptType::EVM,
+                    SingleStrategy::new(&params),
+                    CheckMode::SAFE,
                     None,
                 );
                 prover.unwrap();

benches/poseidon.rs

@@ -1,18 +1,15 @@
-use std::collections::HashMap;
-
 use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Throughput};
 use ezkl::circuit::modules::poseidon::spec::{PoseidonSpec, POSEIDON_RATE, POSEIDON_WIDTH};
 use ezkl::circuit::modules::poseidon::{PoseidonChip, PoseidonConfig};
 use ezkl::circuit::modules::Module;
 use ezkl::circuit::*;
 use ezkl::pfsys::create_keys;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::srs::gen_srs;
 use ezkl::pfsys::TranscriptType;
 use ezkl::tensor::*;
 use halo2_proofs::circuit::Value;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::{ProverSHPLONK, VerifierSHPLONK};
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     arithmetic::Field,
@@ -21,7 +18,6 @@ use halo2_proofs::{
 };
 use halo2curves::bn256::{Bn256, Fr};
 use rand::rngs::OsRng;
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 
 const L: usize = 10;
 
@@ -50,7 +46,7 @@ impl Circuit<Fr> for MyCircuit {
     ) -> Result<(), Error> {
         let chip: PoseidonChip<PoseidonSpec, POSEIDON_WIDTH, POSEIDON_RATE, L> =
             PoseidonChip::new(config);
-        chip.layout(&mut layouter, &[self.image.clone()], 0, &mut HashMap::new())?;
+        chip.layout(&mut layouter, &[self.image.clone()], 0)?;
         Ok(())
     }
 }
@@ -66,7 +62,7 @@ fn runposeidon(c: &mut Criterion) {
         let params = gen_srs::<KZGCommitmentScheme<_>>(k);
 
         let message = (0..*size).map(|_| Fr::random(OsRng)).collect::<Vec<_>>();
-        let _output =
+        let output =
             PoseidonChip::<PoseidonSpec, POSEIDON_WIDTH, POSEIDON_RATE, L>::run(message.to_vec())
                 .unwrap();
 
@@ -80,35 +76,25 @@ fn runposeidon(c: &mut Criterion) {
         group.throughput(Throughput::Elements(*size as u64));
         group.bench_with_input(BenchmarkId::new("pk", size), &size, |b, &_| {
             b.iter(|| {
-                create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true)
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
                     .unwrap();
             });
         });
 
-        let pk =
-            create_keys::<KZGCommitmentScheme<Bn256>, MyCircuit>(&circuit, &params, true).unwrap();
+        let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, MyCircuit>(&circuit, &params, true)
+            .unwrap();
 
         group.throughput(Throughput::Elements(*size as u64));
         group.bench_with_input(BenchmarkId::new("prove", size), &size, |b, &_| {
             b.iter(|| {
-                let prover = create_proof_circuit::<
-                    KZGCommitmentScheme<_>,
-                    MyCircuit,
-                    ProverSHPLONK<_>,
-                    VerifierSHPLONK<_>,
-                    SingleStrategy<_>,
-                    _,
-                    EvmTranscript<_, _, _, _>,
-                    EvmTranscript<_, _, _, _>,
-                >(
+                let prover = create_proof_circuit_kzg(
                     circuit.clone(),
-                    vec![],
                     &params,
+                    Some(output[0].clone()),
                     &pk,
-                    CheckMode::UNSAFE,
-                    ezkl::Commitments::KZG,
                     TranscriptType::EVM,
-                    None,
+                    SingleStrategy::new(&params),
+                    CheckMode::UNSAFE,
                     None,
                 );
                 prover.unwrap();

benches/relu.rs

@@ -2,13 +2,11 @@ use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Through
 use ezkl::circuit::region::RegionCtx;
 use ezkl::circuit::table::Range;
 use ezkl::circuit::{ops::lookup::LookupOp, BaseConfig as Config, CheckMode};
-use ezkl::fieldutils::IntegerRep;
-use ezkl::pfsys::create_proof_circuit;
+use ezkl::pfsys::create_proof_circuit_kzg;
 use ezkl::pfsys::TranscriptType;
 use ezkl::pfsys::{create_keys, srs::gen_srs};
 use ezkl::tensor::*;
 use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::{ProverSHPLONK, VerifierSHPLONK};
 use halo2_proofs::poly::kzg::strategy::SingleStrategy;
 use halo2_proofs::{
     circuit::{Layouter, SimpleFloorPlanner, Value},
@@ -16,7 +14,6 @@ use halo2_proofs::{
 };
 use halo2curves::bn256::{Bn256, Fr};
 use rand::Rng;
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 
 const BITS: Range = (-32768, 32768);
 static mut LEN: usize = 4;
@@ -42,7 +39,7 @@ impl Circuit<Fr> for NLCircuit {
                 .map(|_| VarTensor::new_advice(cs, K, 1, LEN))
                 .collect::<Vec<_>>();
 
-            let nl = LookupOp::Sigmoid { scale: 1.0.into() };
+            let nl = LookupOp::ReLU;
 
             let mut config = Config::default();
 
@@ -63,13 +60,9 @@ impl Circuit<Fr> for NLCircuit {
         layouter.assign_region(
             || "",
             |region| {
-                let mut region = RegionCtx::new(region, 0, 1, 1024, 2);
+                let mut region = RegionCtx::new(region, 0, 1);
                 config
-                    .layout(
-                        &mut region,
-                        &[self.input.clone()],
-                        Box::new(LookupOp::Sigmoid { scale: 1.0.into() }),
-                    )
+                    .layout(&mut region, &[self.input.clone()], Box::new(LookupOp::ReLU))
                     .unwrap();
                 Ok(())
             },
@@ -89,7 +82,7 @@ fn runrelu(c: &mut Criterion) {
         };
 
         let input: Tensor<Value<Fr>> =
-            Tensor::<IntegerRep>::from((0..len).map(|_| rng.gen_range(0..10))).into();
+            Tensor::<i32>::from((0..len).map(|_| rng.gen_range(0..10))).into();
 
         let circuit = NLCircuit {
             input: ValTensor::from(input.clone()),
@@ -98,35 +91,25 @@ fn runrelu(c: &mut Criterion) {
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("pk", len), &len, |b, &_| {
             b.iter(|| {
-                create_keys::<KZGCommitmentScheme<Bn256>, NLCircuit>(&circuit, &params, true)
+                create_keys::<KZGCommitmentScheme<Bn256>, Fr, NLCircuit>(&circuit, &params, true)
                     .unwrap();
             });
         });
 
-        let pk =
-            create_keys::<KZGCommitmentScheme<Bn256>, NLCircuit>(&circuit, &params, true).unwrap();
+        let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, NLCircuit>(&circuit, &params, true)
+            .unwrap();
 
         group.throughput(Throughput::Elements(len as u64));
         group.bench_with_input(BenchmarkId::new("prove", len), &len, |b, &_| {
             b.iter(|| {
-                let prover = create_proof_circuit::<
-                    KZGCommitmentScheme<_>,
-                    NLCircuit,
-                    ProverSHPLONK<_>,
-                    VerifierSHPLONK<_>,
-                    SingleStrategy<_>,
-                    _,
-                    EvmTranscript<_, _, _, _>,
-                    EvmTranscript<_, _, _, _>,
-                >(
+                let prover = create_proof_circuit_kzg(
                     circuit.clone(),
-                    vec![],
                     &params,
-                    &pk,
-                    CheckMode::UNSAFE,
-                    ezkl::Commitments::KZG,
-                    TranscriptType::EVM,
                     None,
+                    &pk,
+                    TranscriptType::EVM,
+                    SingleStrategy::new(&params),
+                    CheckMode::SAFE,
                     None,
                 );
                 prover.unwrap();

benches/relu_lookupless.rs

@@ -1,150 +0,0 @@
-use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Throughput};
-use ezkl::circuit::poly::PolyOp;
-use ezkl::circuit::region::RegionCtx;
-use ezkl::circuit::{BaseConfig as Config, CheckMode};
-use ezkl::fieldutils::IntegerRep;
-use ezkl::pfsys::create_proof_circuit;
-use ezkl::pfsys::TranscriptType;
-use ezkl::pfsys::{create_keys, srs::gen_srs};
-use ezkl::tensor::*;
-use halo2_proofs::poly::kzg::commitment::KZGCommitmentScheme;
-use halo2_proofs::poly::kzg::multiopen::{ProverSHPLONK, VerifierSHPLONK};
-use halo2_proofs::poly::kzg::strategy::SingleStrategy;
-use halo2_proofs::{
-    circuit::{Layouter, SimpleFloorPlanner, Value},
-    plonk::{Circuit, ConstraintSystem, Error},
-};
-use halo2curves::bn256::{Bn256, Fr};
-use rand::Rng;
-use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
-
-static mut LEN: usize = 4;
-const K: usize = 16;
-
-#[derive(Clone)]
-struct NLCircuit {
-    pub input: ValTensor<Fr>,
-}
-
-impl Circuit<Fr> for NLCircuit {
-    type Config = Config<Fr>;
-    type FloorPlanner = SimpleFloorPlanner;
-    type Params = ();
-
-    fn without_witnesses(&self) -> Self {
-        self.clone()
-    }
-
-    fn configure(cs: &mut ConstraintSystem<Fr>) -> Self::Config {
-        unsafe {
-            let advices = (0..3)
-                .map(|_| VarTensor::new_advice(cs, K, 1, LEN))
-                .collect::<Vec<_>>();
-
-            let mut config = Config::default();
-
-            config
-                .configure_range_check(cs, &advices[0], &advices[1], (-1, 1), K)
-                .unwrap();
-
-            config
-                .configure_range_check(cs, &advices[0], &advices[1], (0, 1023), K)
-                .unwrap();
-
-            let _constant = VarTensor::constant_cols(cs, K, LEN, false);
-
-            config
-        }
-    }
-
-    fn synthesize(
-        &self,
-        mut config: Self::Config,
-        mut layouter: impl Layouter<Fr>, // layouter is our 'write buffer' for the circuit
-    ) -> Result<(), Error> {
-        config.layout_range_checks(&mut layouter).unwrap();
-        layouter.assign_region(
-            || "",
-            |region| {
-                let mut region = RegionCtx::new(region, 0, 1, 1024, 2);
-                config
-                    .layout(
-                        &mut region,
-                        &[self.input.clone()],
-                        Box::new(PolyOp::LeakyReLU {
-                            slope: 0.0.into(),
-                            scale: 1,
-                        }),
-                    )
-                    .unwrap();
-                Ok(())
-            },
-        )?;
-        Ok(())
-    }
-}
-
-fn runrelu(c: &mut Criterion) {
-    let mut group = c.benchmark_group("relu");
-
-    let mut rng = rand::thread_rng();
-    let params = gen_srs::<KZGCommitmentScheme<_>>(17);
-    for &len in [4, 8].iter() {
-        unsafe {
-            LEN = len;
-        };
-
-        let input: Tensor<Value<Fr>> =
-            Tensor::<IntegerRep>::from((0..len).map(|_| rng.gen_range(0..10))).into();
-
-        let circuit = NLCircuit {
-            input: ValTensor::from(input.clone()),
-        };
-
-        group.throughput(Throughput::Elements(len as u64));
-        group.bench_with_input(BenchmarkId::new("pk", len), &len, |b, &_| {
-            b.iter(|| {
-                create_keys::<KZGCommitmentScheme<Bn256>, NLCircuit>(&circuit, &params, true)
-                    .unwrap();
-            });
-        });
-
-        let pk =
-            create_keys::<KZGCommitmentScheme<Bn256>, NLCircuit>(&circuit, &params, true).unwrap();
-
-        group.throughput(Throughput::Elements(len as u64));
-        group.bench_with_input(BenchmarkId::new("prove", len), &len, |b, &_| {
-            b.iter(|| {
-                let prover = create_proof_circuit::<
-                    KZGCommitmentScheme<_>,
-                    NLCircuit,
-                    ProverSHPLONK<_>,
-                    VerifierSHPLONK<_>,
-                    SingleStrategy<_>,
-                    _,
-                    EvmTranscript<_, _, _, _>,
-                    EvmTranscript<_, _, _, _>,
-                >(
-                    circuit.clone(),
-                    vec![],
-                    &params,
-                    &pk,
-                    CheckMode::UNSAFE,
-                    ezkl::Commitments::KZG,
-                    TranscriptType::EVM,
-                    None,
-                    None,
-                );
-                prover.unwrap();
-            });
-        });
-    }
-    group.finish();
-}
-
-criterion_group! {
-  name = benches;
-  config = Criterion::default().with_plots();
-  targets = runrelu
-}
-criterion_main!(benches);

benches/zero_finder.rs

@@ -1,116 +0,0 @@
-use std::thread;
-
-use criterion::{black_box, criterion_group, criterion_main, Criterion};
-use halo2curves::{bn256::Fr as F, ff::Field};
-use maybe_rayon::{
-    iter::{IndexedParallelIterator, IntoParallelRefIterator, ParallelIterator},
-    slice::ParallelSlice,
-};
-use rand::Rng;
-
-// Assuming these are your types
-#[derive(Clone)]
-enum ValType {
-    Constant(F),
-    AssignedConstant(usize, F),
-    Other,
-}
-
-// Helper to generate test data
-fn generate_test_data(size: usize, zero_probability: f64) -> Vec<ValType> {
-    let mut rng = rand::thread_rng();
-    (0..size)
-        .map(|_i| {
-            if rng.gen::<f64>() < zero_probability {
-                ValType::Constant(F::ZERO)
-            } else {
-                ValType::Constant(F::ONE) // Or some other non-zero value
-            }
-        })
-        .collect()
-}
-
-fn bench_zero_finding(c: &mut Criterion) {
-    let sizes = [
-        1_000,         // 1K
-        10_000,        // 10K
-        100_000,       // 100K
-        256 * 256 * 2, // Our specific case
-        1_000_000,     // 1M
-        10_000_000,    // 10M
-    ];
-
-    let zero_probability = 0.1; // 10% zeros
-
-    let mut group = c.benchmark_group("zero_finding");
-    group.sample_size(10); // Adjust based on your needs
-
-    for &size in &sizes {
-        let data = generate_test_data(size, zero_probability);
-
-        // Benchmark sequential version
-        group.bench_function(format!("sequential_{}", size), |b| {
-            b.iter(|| {
-                let result = data
-                    .iter()
-                    .enumerate()
-                    .filter_map(|(i, e)| match e {
-                        ValType::Constant(r) | ValType::AssignedConstant(_, r) => {
-                            (*r == F::ZERO).then_some(i)
-                        }
-                        _ => None,
-                    })
-                    .collect::<Vec<_>>();
-                black_box(result)
-            })
-        });
-
-        // Benchmark parallel version
-        group.bench_function(format!("parallel_{}", size), |b| {
-            b.iter(|| {
-                let result = data
-                    .par_iter()
-                    .enumerate()
-                    .filter_map(|(i, e)| match e {
-                        ValType::Constant(r) | ValType::AssignedConstant(_, r) => {
-                            (*r == F::ZERO).then_some(i)
-                        }
-                        _ => None,
-                    })
-                    .collect::<Vec<_>>();
-                black_box(result)
-            })
-        });
-
-        // Benchmark chunked parallel version
-        group.bench_function(format!("chunked_parallel_{}", size), |b| {
-            b.iter(|| {
-                let num_cores = thread::available_parallelism()
-                    .map(|n| n.get())
-                    .unwrap_or(1);
-                let chunk_size = (size / num_cores).max(100);
-
-                let result = data
-                    .par_chunks(chunk_size)
-                    .enumerate()
-                    .flat_map(|(chunk_idx, chunk)| {
-                        chunk
-                            .par_iter() // Make sure we use par_iter() here
-                            .enumerate()
-                            .filter_map(move |(i, e)| match e {
-                                ValType::Constant(r) | ValType::AssignedConstant(_, r) => {
-                                    (*r == F::ZERO).then_some(chunk_idx * chunk_size + i)
-                                }
-                                _ => None,
-                            })
-                    })
-                    .collect::<Vec<_>>();
-                black_box(result)
-            })
-        });
-    }
-    group.finish();
-}
-
-criterion_group!(benches, bench_zero_finding);
-criterion_main!(benches);

build.rs

@@ -1,7 +0,0 @@
-fn main() {
-    if cfg!(feature = "ios-bindings-test") {
-        println!("cargo::rustc-env=UNIFFI_CARGO_BUILD_EXTRA_ARGS=--features=ios-bindings --no-default-features");
-    }
-
-    println!("cargo::rerun-if-changed=build.rs");
-}

contracts/AttestData.sol

@@ -1,414 +1,6 @@
 // SPDX-License-Identifier: MIT
 pragma solidity ^0.8.20;
-contract LoadInstances {
-    /**
-     * @dev Parse the instances array from the Halo2Verifier encoded calldata.
-     * @notice must pass encoded bytes from memory
-     * @param encoded - verifier calldata
-     */
-    function getInstancesMemory(
-        bytes memory encoded
-    ) internal pure returns (uint256[] memory instances) {
-        bytes4 funcSig;
-        uint256 instances_offset;
-        uint256 instances_length;
-        assembly {
-            // fetch function sig. Either `verifyProof(bytes,uint256[])` or `verifyProof(address,bytes,uint256[])`
-            funcSig := mload(add(encoded, 0x20))
-
-            // Fetch instances offset which is 4 + 32 + 32 bytes away from
-            // start of encoded for `verifyProof(bytes,uint256[])`,
-            // and 4 + 32 + 32 +32 away for `verifyProof(address,bytes,uint256[])`
-
-            instances_offset := mload(
-                add(encoded, add(0x44, mul(0x20, eq(funcSig, 0xaf83a18d))))
-            )
-
-            instances_length := mload(add(add(encoded, 0x24), instances_offset))
-        }
-        instances = new uint256[](instances_length); // Allocate memory for the instances array.
-        assembly {
-            // Now instances points to the start of the array data
-            // (right after the length field).
-            for {
-                let i := 0x20
-            } lt(i, add(mul(instances_length, 0x20), 0x20)) {
-                i := add(i, 0x20)
-            } {
-                mstore(
-                    add(instances, i),
-                    mload(add(add(encoded, add(i, 0x24)), instances_offset))
-                )
-            }
-        }
-    }
-    /**
-     * @dev Parse the instances array from the Halo2Verifier encoded calldata.
-     * @notice must pass encoded bytes from calldata
-     * @param encoded - verifier calldata
-     */
-    function getInstancesCalldata(
-        bytes calldata encoded
-    ) internal pure returns (uint256[] memory instances) {
-        bytes4 funcSig;
-        uint256 instances_offset;
-        uint256 instances_length;
-        assembly {
-            // fetch function sig. Either `verifyProof(bytes,uint256[])` or `verifyProof(address,bytes,uint256[])`
-            funcSig := calldataload(encoded.offset)
-
-            // Fetch instances offset which is 4 + 32 + 32 bytes away from
-            // start of encoded for `verifyProof(bytes,uint256[])`,
-            // and 4 + 32 + 32 +32 away for `verifyProof(address,bytes,uint256[])`
-
-            instances_offset := calldataload(
-                add(
-                    encoded.offset,
-                    add(0x24, mul(0x20, eq(funcSig, 0xaf83a18d)))
-                )
-            )
-
-            instances_length := calldataload(
-                add(add(encoded.offset, 0x04), instances_offset)
-            )
-        }
-        instances = new uint256[](instances_length); // Allocate memory for the instances array.
-        assembly {
-            // Now instances points to the start of the array data
-            // (right after the length field).
-
-            for {
-                let i := 0x20
-            } lt(i, add(mul(instances_length, 0x20), 0x20)) {
-                i := add(i, 0x20)
-            } {
-                mstore(
-                    add(instances, i),
-                    calldataload(
-                        add(add(encoded.offset, add(i, 0x04)), instances_offset)
-                    )
-                )
-            }
-        }
-    }
-}
-
-// The kzg commitments of a given model, all aggregated into a single bytes array.
-// At solidity generation time, the commitments are hardcoded into the contract via the COMMITMENT_KZG constant.
-// It will be used to check that the proof commitments match the expected commitments.
-bytes constant COMMITMENT_KZG = hex"";
-
-contract SwapProofCommitments {
-    /**
-     * @dev Swap the proof commitments
-     * @notice must pass encoded bytes from memory
-     * @param encoded - verifier calldata
-     */
-    function checkKzgCommits(
-        bytes calldata encoded
-    ) internal pure returns (bool equal) {
-        bytes4 funcSig;
-        uint256 proof_offset;
-        uint256 proof_length;
-        assembly {
-            // fetch function sig. Either `verifyProof(bytes,uint256[])` or `verifyProof(address,bytes,uint256[])`
-            funcSig := calldataload(encoded.offset)
-
-            // Fetch proof offset which is 4 + 32 bytes away from
-            // start of encoded for `verifyProof(bytes,uint256[])`,
-            // and 4 + 32 + 32 away for `verifyProof(address,bytes,uint256[])`
-
-            proof_offset := calldataload(
-                add(
-                    encoded.offset,
-                    add(0x04, mul(0x20, eq(funcSig, 0xaf83a18d)))
-                )
-            )
-
-            proof_length := calldataload(
-                add(add(encoded.offset, 0x04), proof_offset)
-            )
-        }
-        // Check the length of the commitment against the proof bytes
-        if (proof_length < COMMITMENT_KZG.length) {
-            return false;
-        }
-
-        // Load COMMITMENT_KZG into memory
-        bytes memory commitment = COMMITMENT_KZG;
-
-        // Compare the first N bytes of the proof with COMMITMENT_KZG
-        uint words = (commitment.length + 31) / 32; // Calculate the number of 32-byte words
-
-        assembly {
-            // Now we compare the commitment with the proof,
-            // ensuring that the commitments divided up into 32 byte words are all equal.
-            for {
-                let i := 0x20
-            } lt(i, add(mul(words, 0x20), 0x20)) {
-                i := add(i, 0x20)
-            } {
-                let wordProof := calldataload(
-                    add(add(encoded.offset, add(i, 0x04)), proof_offset)
-                )
-                let wordCommitment := mload(add(commitment, i))
-                equal := eq(wordProof, wordCommitment)
-                if eq(equal, 0) {
-                    return(0, 0)
-                }
-            }
-        }
-
-        return equal; // Return true if the commitment comparison passed
-    } /// end checkKzgCommits
-}
-
-contract DataAttestationSingle is LoadInstances, SwapProofCommitments {
-    /**
-     * @notice Struct used to make view only call to account to fetch the data that EZKL reads from.
-     * @param the address of the account to make calls to
-     * @param the abi encoded function calls to make to the `contractAddress`
-     */
-    struct AccountCall {
-        address contractAddress;
-        bytes callData;
-        uint256 decimals;
-    }
-    AccountCall public accountCall;
-
-    uint[] scales;
-
-    address public admin;
-
-    /**
-     * @notice EZKL P value
-     * @dev In order to prevent the verifier from accepting two version of the same pubInput, n and the quantity (n + P),  where n + P <= 2^256, we require that all instances are stricly less than P. a
-     * @dev The reason for this is that the assmebly code of the verifier performs all arithmetic operations modulo P and as a consequence can't distinguish between n and n + P.
-     */
-    uint256 constant ORDER =
-        uint256(
-            0x30644e72e131a029b85045b68181585d2833e84879b9709143e1f593f0000001
-        );
-
-    uint256 constant INPUT_LEN = 0;
-
-    uint256 constant OUTPUT_LEN = 0;
-
-    uint8 public instanceOffset;
-
-    /**
-     * @dev Initialize the contract with account calls the EZKL model will read from.
-     * @param _contractAddresses - The calls to all the contracts EZKL reads storage from.
-     * @param _callData - The abi encoded function calls to make to the `contractAddress` that EZKL reads storage from.
-     */
-    constructor(
-        address _contractAddresses,
-        bytes memory _callData,
-        uint256 _decimals,
-        uint[] memory _scales,
-        uint8 _instanceOffset,
-        address _admin
-    ) {
-        admin = _admin;
-        for (uint i; i < _scales.length; i++) {
-            scales.push(1 << _scales[i]);
-        }
-        populateAccountCalls(_contractAddresses, _callData, _decimals);
-        instanceOffset = _instanceOffset;
-    }
-
-    function updateAdmin(address _admin) external {
-        require(msg.sender == admin, "Only admin can update admin");
-        if (_admin == address(0)) {
-            revert();
-        }
-        admin = _admin;
-    }
-
-    function updateAccountCalls(
-        address _contractAddresses,
-        bytes memory _callData,
-        uint256 _decimals
-    ) external {
-        require(msg.sender == admin, "Only admin can update account calls");
-        populateAccountCalls(_contractAddresses, _callData, _decimals);
-    }
-
-    function populateAccountCalls(
-        address _contractAddresses,
-        bytes memory _callData,
-        uint256 _decimals
-    ) internal {
-        AccountCall memory _accountCall = accountCall;
-        _accountCall.contractAddress = _contractAddresses;
-        _accountCall.callData = _callData;
-        _accountCall.decimals = 10 ** _decimals;
-        accountCall = _accountCall;
-    }
-
-    function mulDiv(
-        uint256 x,
-        uint256 y,
-        uint256 denominator
-    ) internal pure returns (uint256 result) {
-        unchecked {
-            uint256 prod0;
-            uint256 prod1;
-            assembly {
-                let mm := mulmod(x, y, not(0))
-                prod0 := mul(x, y)
-                prod1 := sub(sub(mm, prod0), lt(mm, prod0))
-            }
-
-            if (prod1 == 0) {
-                return prod0 / denominator;
-            }
-
-            require(denominator > prod1, "Math: mulDiv overflow");
-
-            uint256 remainder;
-            assembly {
-                remainder := mulmod(x, y, denominator)
-                prod1 := sub(prod1, gt(remainder, prod0))
-                prod0 := sub(prod0, remainder)
-            }
-
-            uint256 twos = denominator & (~denominator + 1);
-            assembly {
-                denominator := div(denominator, twos)
-                prod0 := div(prod0, twos)
-                twos := add(div(sub(0, twos), twos), 1)
-            }
-
-            prod0 |= prod1 * twos;
-
-            uint256 inverse = (3 * denominator) ^ 2;
-
-            inverse *= 2 - denominator * inverse;
-            inverse *= 2 - denominator * inverse;
-            inverse *= 2 - denominator * inverse;
-            inverse *= 2 - denominator * inverse;
-            inverse *= 2 - denominator * inverse;
-            inverse *= 2 - denominator * inverse;
-
-            result = prod0 * inverse;
-            return result;
-        }
-    }
-    /**
-     * @dev Quantize the data returned from the account calls to the scale used by the EZKL model.
-     * @param x - One of the elements of the data returned from the account calls
-     * @param _decimals - Number of base 10 decimals to scale the data by.
-     * @param _scale - The base 2 scale used to convert the floating point value into a fixed point value.
-     *
-     */
-    function quantizeData(
-        int x,
-        uint256 _decimals,
-        uint256 _scale
-    ) internal pure returns (int256 quantized_data) {
-        bool neg = x < 0;
-        if (neg) x = -x;
-        uint output = mulDiv(uint256(x), _scale, _decimals);
-        if (mulmod(uint256(x), _scale, _decimals) * 2 >= _decimals) {
-            output += 1;
-        }
-        quantized_data = neg ? -int256(output) : int256(output);
-    }
-    /**
-     * @dev Make a static call to the account to fetch the data that EZKL reads from.
-     * @param target - The address of the account to make calls to.
-     * @param data  - The abi encoded function calls to make to the `contractAddress` that EZKL reads storage from.
-     * @return The data returned from the account calls. (Must come from either a view or pure function. Will throw an error otherwise)
-     */
-    function staticCall(
-        address target,
-        bytes memory data
-    ) internal view returns (bytes memory) {
-        (bool success, bytes memory returndata) = target.staticcall(data);
-        if (success) {
-            if (returndata.length == 0) {
-                require(
-                    target.code.length > 0,
-                    "Address: call to non-contract"
-                );
-            }
-            return returndata;
-        } else {
-            revert("Address: low-level call failed");
-        }
-    }
-    /**
-     * @dev Convert the fixed point quantized data into a field element.
-     * @param x - The quantized data.
-     * @return field_element - The field element.
-     */
-    function toFieldElement(
-        int256 x
-    ) internal pure returns (uint256 field_element) {
-        // The casting down to uint256 is safe because the order is about 2^254, and the value
-        // of x ranges of -2^127 to 2^127, so x + int(ORDER) is always positive.
-        return uint256(x + int(ORDER)) % ORDER;
-    }
-
-    /**
-     * @dev Make the account calls to fetch the data that EZKL reads from and attest to the data.
-     * @param instances - The public instances to the proof (the data in the proof that publicly accessible to the verifier).
-     */
-    function attestData(uint256[] memory instances) internal view {
-        require(
-            instances.length >= INPUT_LEN + OUTPUT_LEN,
-            "Invalid public inputs length"
-        );
-        AccountCall memory _accountCall = accountCall;
-        uint[] memory _scales = scales;
-        bytes memory returnData = staticCall(
-            _accountCall.contractAddress,
-            _accountCall.callData
-        );
-        int256[] memory x = abi.decode(returnData, (int256[]));
-        uint _offset;
-        int output = quantizeData(x[0], _accountCall.decimals, _scales[0]);
-        uint field_element = toFieldElement(output);
-        for (uint i = 0; i < x.length; i++) {
-            if (field_element != instances[i + instanceOffset]) {
-                _offset += 1;
-            } else {
-                break;
-            }
-        }
-        uint length = x.length - _offset;
-        for (uint i = 1; i < length; i++) {
-            output = quantizeData(x[i], _accountCall.decimals, _scales[i]);
-            field_element = toFieldElement(output);
-            require(
-                field_element == instances[i + instanceOffset + _offset],
-                "Public input does not match"
-            );
-        }
-    }
-
-    /**
-     * @dev Verify the proof with the data attestation.
-     * @param verifier - The address of the verifier contract.
-     * @param encoded - The verifier calldata.
-     */
-    function verifyWithDataAttestation(
-        address verifier,
-        bytes calldata encoded
-    ) public view returns (bool) {
-        require(verifier.code.length > 0, "Address: call to non-contract");
-        attestData(getInstancesCalldata(encoded));
-        // static call the verifier contract to verify the proof
-        (bool success, bytes memory returndata) = verifier.staticcall(encoded);
-
-        if (success) {
-            return abi.decode(returndata, (bool));
-        } else {
-            revert("low-level call to verifier failed");
-        }
-    }
-}
+import './LoadInstances.sol';
 
 // This contract serves as a Data Attestation Verifier for the EZKL model.
 // It is designed to read and attest to instances of proofs generated from a specified circuit.
@@ -420,11 +12,10 @@ contract DataAttestationSingle is LoadInstances, SwapProofCommitments {
 // 3. Static Calls: Makes static calls to fetch data from other contracts. See the `staticCall` method.
 // 4. Field Element Conversion: The fixed-point representation is then converted into a field element modulo P using the `toFieldElement` method.
 // 5. Data Attestation: The `attestData` method validates that the public instances match the data fetched and processed by the contract.
-// 6. Proof Verification: The `verifyWithDataAttestationMulti` method parses the instances out of the encoded calldata and calls the `attestData` method to validate the public instances,
-// 6b. Optional KZG Commitment Verification: It also checks the KZG commitments in the proof against the expected commitments using the `checkKzgCommits` method.
+// 6. Proof Verification: The `verifyWithDataAttestation` method parses the instances out of the encoded calldata and calls the `attestData` method to validate the public instances,
 //  then calls the `verifyProof` method to verify the proof on the verifier.
 
-contract DataAttestationMulti is LoadInstances, SwapProofCommitments {
+contract DataAttestation is LoadInstances {
     /**
      * @notice Struct used to make view only calls to accounts to fetch the data that EZKL reads from.
      * @param the address of the account to make calls to
@@ -443,14 +34,11 @@ contract DataAttestationMulti is LoadInstances, SwapProofCommitments {
     address public admin;
 
     /**
-     * @notice EZKL P value
+     * @notice EZKL P value 
      * @dev In order to prevent the verifier from accepting two version of the same pubInput, n and the quantity (n + P),  where n + P <= 2^256, we require that all instances are stricly less than P. a
      * @dev The reason for this is that the assmebly code of the verifier performs all arithmetic operations modulo P and as a consequence can't distinguish between n and n + P.
      */
-    uint256 constant ORDER =
-        uint256(
-            0x30644e72e131a029b85045b68181585d2833e84879b9709143e1f593f0000001
-        );
+    uint256 constant ORDER = uint256(0x30644e72e131a029b85045b68181585d2833e84879b9709143e1f593f0000001); 
 
     uint256 constant INPUT_CALLS = 0;
 
@@ -481,7 +69,7 @@ contract DataAttestationMulti is LoadInstances, SwapProofCommitments {
 
     function updateAdmin(address _admin) external {
         require(msg.sender == admin, "Only admin can update admin");
-        if (_admin == address(0)) {
+        if(_admin == address(0)) {
             revert();
         }
         admin = _admin;
@@ -492,7 +80,7 @@ contract DataAttestationMulti is LoadInstances, SwapProofCommitments {
         bytes[][] memory _callData,
         uint256[][] memory _decimals
     ) external {
-        require(msg.sender == admin, "Only admin can update account calls");
+        require(msg.sender == admin, "Only admin can update instanceOffset");
         populateAccountCalls(_contractAddresses, _callData, _decimals);
     }
 
@@ -523,10 +111,7 @@ contract DataAttestationMulti is LoadInstances, SwapProofCommitments {
             // count the total number of storage reads across all of the accounts
             counter += _callData[i].length;
         }
-        require(
-            counter == INPUT_CALLS + OUTPUT_CALLS,
-            "Invalid number of calls"
-        );
+        require(counter == INPUT_CALLS + OUTPUT_CALLS, "Invalid number of calls");
     }
 
     function mulDiv(
@@ -582,7 +167,7 @@ contract DataAttestationMulti is LoadInstances, SwapProofCommitments {
      * @dev Quantize the data returned from the account calls to the scale used by the EZKL model.
      * @param data - The data returned from the account calls.
      * @param decimals - The number of decimals the data returned from the account calls has (for floating point representation).
-     * @param scale - The scale used to convert the floating point value into a fixed point value.
+     * @param scale - The scale used to convert the floating point value into a fixed point value. 
      */
     function quantizeData(
         bytes memory data,
@@ -596,7 +181,7 @@ contract DataAttestationMulti is LoadInstances, SwapProofCommitments {
         if (mulmod(uint256(x), scale, decimals) * 2 >= decimals) {
             output += 1;
         }
-        quantized_data = neg ? -int256(output) : int256(output);
+        quantized_data = neg ? -int256(output): int256(output);
     }
     /**
      * @dev Make a static call to the account to fetch the data that EZKL reads from.
@@ -626,9 +211,7 @@ contract DataAttestationMulti is LoadInstances, SwapProofCommitments {
      * @param x - The quantized data.
      * @return field_element - The field element.
      */
-    function toFieldElement(
-        int256 x
-    ) internal pure returns (uint256 field_element) {
+    function toFieldElement(int256 x) internal pure returns (uint256 field_element) {
         // The casting down to uint256 is safe because the order is about 2^254, and the value
         // of x ranges of -2^127 to 2^127, so x + int(ORDER) is always positive.
         return uint256(x + int(ORDER)) % ORDER;
@@ -668,18 +251,13 @@ contract DataAttestationMulti is LoadInstances, SwapProofCommitments {
         }
     }
 
-    /**
-     * @dev Verify the proof with the data attestation.
-     * @param verifier - The address of the verifier contract.
-     * @param encoded - The verifier calldata.
-     */
+
     function verifyWithDataAttestation(
         address verifier,
         bytes calldata encoded
     ) public view returns (bool) {
-        require(verifier.code.length > 0, "Address: call to non-contract");
+        require(verifier.code.length > 0,"Address: call to non-contract");
         attestData(getInstancesCalldata(encoded));
-        require(checkKzgCommits(encoded), "Invalid KZG commitments");
         // static call the verifier contract to verify the proof
         (bool success, bytes memory returndata) = verifier.staticcall(encoded);
 

contracts/LoadInstances.sol

@@ -0,0 +1,92 @@
+// SPDX-License-Identifier: MIT
+pragma solidity ^0.8.20;
+contract LoadInstances {
+    /**
+     * @dev Parse the instances array from the Halo2Verifier encoded calldata. 
+     * @notice must pass encoded bytes from memory
+     * @param encoded - verifier calldata
+     */
+    function getInstancesMemory(
+        bytes memory encoded
+    ) internal pure returns (uint256[] memory instances) {
+        bytes4 funcSig;
+        uint256 instances_offset;
+        uint256 instances_length;
+        assembly {
+            // fetch function sig. Either `verifyProof(bytes,uint256[])` or `verifyProof(address,bytes,uint256[])`
+            funcSig := mload(add(encoded, 0x20))
+
+            // Fetch instances offset which is 4 + 32 + 32 bytes away from
+            // start of encoded for `verifyProof(bytes,uint256[])`,
+            // and 4 + 32 + 32 +32 away for `verifyProof(address,bytes,uint256[])`
+
+            instances_offset := mload(
+                add(encoded, add(0x44, mul(0x20, eq(funcSig, 0xaf83a18d))))
+            )
+
+            instances_length := mload(add(add(encoded, 0x24), instances_offset))
+        }
+        instances = new uint256[](instances_length); // Allocate memory for the instances array.
+        assembly {
+            // Now instances points to the start of the array data
+            // (right after the length field).
+            for {
+                let i := 0x20
+            } lt(i, add(mul(instances_length, 0x20), 0x20)) {
+                i := add(i, 0x20)
+            } {
+                mstore(
+                    add(instances, i),
+                    mload(add(add(encoded, add(i, 0x24)), instances_offset))
+                )
+            }
+        }
+    }
+    /**
+     * @dev Parse the instances array from the Halo2Verifier encoded calldata. 
+     * @notice must pass encoded bytes from calldata
+     * @param encoded - verifier calldata
+     */
+    function getInstancesCalldata(
+        bytes calldata encoded
+    ) internal pure returns (uint256[] memory instances) {
+        bytes4 funcSig;
+        uint256 instances_offset;
+        uint256 instances_length;
+        assembly {
+            // fetch function sig. Either `verifyProof(bytes,uint256[])` or `verifyProof(address,bytes,uint256[])`
+            funcSig := calldataload(encoded.offset)
+
+            // Fetch instances offset which is 4 + 32 + 32 bytes away from
+            // start of encoded for `verifyProof(bytes,uint256[])`,
+            // and 4 + 32 + 32 +32 away for `verifyProof(address,bytes,uint256[])`
+
+            instances_offset := calldataload(
+                add(
+                    encoded.offset,
+                    add(0x24, mul(0x20, eq(funcSig, 0xaf83a18d)))
+                )
+            )
+
+            instances_length := calldataload(add(add(encoded.offset, 0x04), instances_offset))
+        }
+        instances = new uint256[](instances_length); // Allocate memory for the instances array.
+        assembly{
+            // Now instances points to the start of the array data
+            // (right after the length field).
+
+            for {
+                let i := 0x20
+            } lt(i, add(mul(instances_length, 0x20), 0x20)) {
+                i := add(i, 0x20)
+            } {
+                mstore(
+                    add(instances, i),
+                    calldataload(
+                        add(add(encoded.offset, add(i, 0x04)), instances_offset)
+                    )
+                )
+            }
+        }
+    }
+}

contracts/QuantizeData.sol

@@ -0,0 +1,135 @@
+// SPDX-License-Identifier: GPL-3.0
+
+pragma solidity ^0.8.17;
+
+contract QuantizeData {
+    /**
+     * @notice EZKL P value
+     * @dev In order to prevent the verifier from accepting two version of the same instance, n and the quantity (n + P),  where n + P <= 2^256, we require that all instances are stricly less than P. a
+     * @dev The reason for this is that the assmebly code of the verifier performs all arithmetic operations modulo P and as a consequence can't distinguish between n and n + P.
+     */
+    uint256 constant ORDER =
+        uint256(
+            0x30644e72e131a029b85045b68181585d2833e84879b9709143e1f593f0000001
+        );
+
+    /**
+     * @notice Calculates floor(x * y / denominator) with full precision. Throws if result overflows a uint256 or denominator == 0
+     * @dev Original credit to Remco Bloemen under MIT license (https://xn--2-umb.com/21/muldiv)
+     * with further edits by Uniswap Labs also under MIT license.
+     */
+    function mulDiv(
+        uint256 x,
+        uint256 y,
+        uint256 denominator
+    ) internal pure returns (uint256 result) {
+        unchecked {
+            // 512-bit multiply [prod1 prod0] = x * y. Compute the product mod 2^256 and mod 2^256 - 1, then use
+            // use the Chinese Remainder Theorem to reconstruct the 512 bit result. The result is stored in two 256
+            // variables such that product = prod1 * 2^256 + prod0.
+            uint256 prod0; // Least significant 256 bits of the product
+            uint256 prod1; // Most significant 256 bits of the product
+            assembly {
+                let mm := mulmod(x, y, not(0))
+                prod0 := mul(x, y)
+                prod1 := sub(sub(mm, prod0), lt(mm, prod0))
+            }
+
+            // Handle non-overflow cases, 256 by 256 division.
+            if (prod1 == 0) {
+                // Solidity will revert if denominator == 0, unlike the div opcode on its own.
+                // The surrounding unchecked block does not change this fact.
+                // See https://docs.soliditylang.org/en/latest/control-structures.html#checked-or-unchecked-arithmetic.
+                return prod0 / denominator;
+            }
+
+            // Make sure the result is less than 2^256. Also prevents denominator == 0.
+            require(denominator > prod1, "Math: mulDiv overflow");
+
+            ///////////////////////////////////////////////
+            // 512 by 256 division.
+            ///////////////////////////////////////////////
+
+            // Make division exact by subtracting the remainder from [prod1 prod0].
+            uint256 remainder;
+            assembly {
+                // Compute remainder using mulmod.
+                remainder := mulmod(x, y, denominator)
+
+                // Subtract 256 bit number from 512 bit number.
+                prod1 := sub(prod1, gt(remainder, prod0))
+                prod0 := sub(prod0, remainder)
+            }
+
+            // Factor powers of two out of denominator and compute largest power of two divisor of denominator. Always >= 1.
+            // See https://cs.stackexchange.com/q/138556/92363.
+
+            // Does not overflow because the denominator cannot be zero at this stage in the function.
+            uint256 twos = denominator & (~denominator + 1);
+            assembly {
+                // Divide denominator by twos.
+                denominator := div(denominator, twos)
+
+                // Divide [prod1 prod0] by twos.
+                prod0 := div(prod0, twos)
+
+                // Flip twos such that it is 2^256 / twos. If twos is zero, then it becomes one.
+                twos := add(div(sub(0, twos), twos), 1)
+            }
+
+            // Shift in bits from prod1 into prod0.
+            prod0 |= prod1 * twos;
+
+            // Invert denominator mod 2^256. Now that denominator is an odd number, it has an inverse modulo 2^256 such
+            // that denominator * inv = 1 mod 2^256. Compute the inverse by starting with a seed that is correct for
+            // four bits. That is, denominator * inv = 1 mod 2^4.
+            uint256 inverse = (3 * denominator) ^ 2;
+
+            // Use the Newton-Raphson iteration to improve the precision. Thanks to Hensel's lifting lemma, this also works
+            // in modular arithmetic, doubling the correct bits in each step.
+            inverse *= 2 - denominator * inverse; // inverse mod 2^8
+            inverse *= 2 - denominator * inverse; // inverse mod 2^16
+            inverse *= 2 - denominator * inverse; // inverse mod 2^32
+            inverse *= 2 - denominator * inverse; // inverse mod 2^64
+            inverse *= 2 - denominator * inverse; // inverse mod 2^128
+            inverse *= 2 - denominator * inverse; // inverse mod 2^256
+
+            // Because the division is now exact we can divide by multiplying with the modular inverse of denominator.
+            // This will give us the correct result modulo 2^256. Since the preconditions guarantee that the outcome is
+            // less than 2^256, this is the final result. We don't need to compute the high bits of the result and prod1
+            // is no longer required.
+            result = prod0 * inverse;
+            return result;
+        }
+    }
+
+    function quantize_data(
+        bytes[] memory data,
+        uint256[] memory decimals,
+        uint256[] memory scales
+    ) external pure returns (int256[] memory quantized_data) {
+        quantized_data = new int256[](data.length);
+        for (uint i; i < data.length; i++) {
+            int x = abi.decode(data[i], (int256));
+            bool neg = x < 0;
+            if (neg) x = -x;
+            uint denom = 10 ** decimals[i];
+            uint scale = 1 << scales[i];
+            uint output = mulDiv(uint256(x), scale, denom);
+            if (mulmod(uint256(x), scale, denom) * 2 >= denom) {
+                output += 1;
+            }
+
+            quantized_data[i] = neg ? -int256(output) : int256(output);
+        }
+    }
+
+    function to_field_element(
+        int128[] memory quantized_data
+    ) public pure returns (uint256[] memory output) {
+        output = new uint256[](quantized_data.length);
+        for (uint i; i < quantized_data.length; i++) {
+            output[i] = uint256(quantized_data[i] + int(ORDER)) % ORDER;
+        }
+    }
+}

contracts/TestReads.sol

@@ -0,0 +1,12 @@
+// SPDX-License-Identifier: UNLICENSED
+pragma solidity ^0.8.17;
+
+contract TestReads {
+    int[] public arr;
+
+    constructor(int256[] memory _numbers) {
+        for (uint256 i = 0; i < _numbers.length; i++) {
+            arr.push(_numbers[i]);
+        }
+    }
+}

data.sh

@@ -0,0 +1,11 @@
+#! /bin/bash
+
+mkdir data
+cd data
+
+wget http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
+wget http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
+wget http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
+wget http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
+
+gzip -d *.gz

docs/python/build.sh

@@ -1,2 +0,0 @@
-#!/bin/sh
-sphinx-build ./src build

docs/python/requirements-docs.txt

@@ -1,4 +0,0 @@
-ezkl
-sphinx
-sphinx-rtd-theme
-sphinxcontrib-napoleon

docs/python/src/conf.py

@@ -1,29 +0,0 @@
-import ezkl
-
-project = 'ezkl'
-release = '0.0.0'
-version = release
-
-
-extensions = [
-    'sphinx.ext.autodoc',
-    'sphinx.ext.autosummary',
-    'sphinx.ext.intersphinx',
-    'sphinx.ext.todo',
-    'sphinx.ext.inheritance_diagram',
-    'sphinx.ext.autosectionlabel',
-    'sphinx.ext.napoleon',
-    'sphinx_rtd_theme',
-]
-
-autosummary_generate = True
-autosummary_imported_members = True
-
-templates_path = ['_templates']
-exclude_patterns = []
-
-# -- Options for HTML output -------------------------------------------------
-# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
-
-html_theme = 'sphinx_rtd_theme'
-html_static_path = ['_static']

docs/python/src/index.rst

@@ -1,11 +0,0 @@
-.. extension documentation master file, created by
-   sphinx-quickstart on Mon Jun 19 15:02:05 2023.
-   You can adapt this file completely to your liking, but it should at least
-   contain the root `toctree` directive.
-
-ezkl python bindings
-================================================
-
-.. automodule:: ezkl
-   :members:
-   :undoc-members:

examples/conv2d_mnist/main.rs

@@ -2,10 +2,10 @@ use ezkl::circuit::region::RegionCtx;
 use ezkl::circuit::{
     ops::lookup::LookupOp, ops::poly::PolyOp, BaseConfig as PolyConfig, CheckMode,
 };
-use ezkl::fieldutils::{self, integer_rep_to_felt, IntegerRep};
+use ezkl::fieldutils;
+use ezkl::fieldutils::i32_to_felt;
 use ezkl::tensor::*;
 use halo2_proofs::dev::MockProver;
-use halo2_proofs::poly::commitment::Params;
 use halo2_proofs::poly::kzg::multiopen::{ProverSHPLONK, VerifierSHPLONK};
 use halo2_proofs::{
     circuit::{Layouter, SimpleFloorPlanner, Value},
@@ -41,8 +41,8 @@ const NUM_INNER_COLS: usize = 1;
 struct Config<
     const LEN: usize, //LEN = CHOUT x OH x OW flattened //not supported yet in rust stable
     const CLASSES: usize,
-    const LOOKUP_MIN: IntegerRep,
-    const LOOKUP_MAX: IntegerRep,
+    const LOOKUP_MIN: i128,
+    const LOOKUP_MAX: i128,
     // Convolution
     const KERNEL_HEIGHT: usize,
     const KERNEL_WIDTH: usize,
@@ -65,8 +65,8 @@ struct Config<
 struct MyCircuit<
     const LEN: usize, //LEN = CHOUT x OH x OW flattened
     const CLASSES: usize,
-    const LOOKUP_MIN: IntegerRep,
-    const LOOKUP_MAX: IntegerRep,
+    const LOOKUP_MIN: i128,
+    const LOOKUP_MAX: i128,
     // Convolution
     const KERNEL_HEIGHT: usize,
     const KERNEL_WIDTH: usize,
@@ -89,8 +89,8 @@ struct MyCircuit<
 impl<
         const LEN: usize,
         const CLASSES: usize,
-        const LOOKUP_MIN: IntegerRep,
-        const LOOKUP_MAX: IntegerRep,
+        const LOOKUP_MIN: i128,
+        const LOOKUP_MAX: i128,
         // Convolution
         const KERNEL_HEIGHT: usize,
         const KERNEL_WIDTH: usize,
@@ -146,8 +146,6 @@ where
         let params = VarTensor::new_advice(cs, K, NUM_INNER_COLS, LEN);
         let output = VarTensor::new_advice(cs, K, NUM_INNER_COLS, LEN);
 
-        let _constant = VarTensor::constant_cols(cs, K, LEN, false);
-
         println!("INPUT COL {:#?}", input);
 
         let mut layer_config = PolyConfig::configure(
@@ -158,11 +156,15 @@ where
         );
 
         layer_config
-            .configure_range_check(cs, &input, &params, (-1, 1), K)
-            .unwrap();
-
-        layer_config
-            .configure_range_check(cs, &input, &params, (0, 1023), K)
+            .configure_lookup(
+                cs,
+                &input,
+                &output,
+                &params,
+                (LOOKUP_MIN, LOOKUP_MAX),
+                K,
+                &LookupOp::ReLU,
+            )
             .unwrap();
 
         layer_config
@@ -193,21 +195,15 @@ where
     ) -> Result<(), Error> {
         config.layer_config.layout_tables(&mut layouter).unwrap();
 
-        config
-            .layer_config
-            .layout_range_checks(&mut layouter)
-            .unwrap();
-
         let x = layouter
             .assign_region(
                 || "mlp_4d",
                 |region| {
-                    let mut region = RegionCtx::new(region, 0, NUM_INNER_COLS, 1024, 2);
+                    let mut region = RegionCtx::new(region, 0, NUM_INNER_COLS);
 
                     let op = PolyOp::Conv {
-                        padding: vec![(PADDING, PADDING); 2],
-                        stride: vec![STRIDE; 2],
-                        group: 1,
+                        padding: [(PADDING, PADDING); 2],
+                        stride: (STRIDE, STRIDE),
                     };
                     let x = config
                         .layer_config
@@ -224,14 +220,7 @@ where
 
                     let x = config
                         .layer_config
-                        .layout(
-                            &mut region,
-                            &[x.unwrap()],
-                            Box::new(PolyOp::LeakyReLU {
-                                slope: 0.0.into(),
-                                scale: 1,
-                            }),
-                        )
+                        .layout(&mut region, &[x.unwrap()], Box::new(LookupOp::ReLU))
                         .unwrap();
 
                     let mut x = config
@@ -291,7 +280,7 @@ where
 }
 
 pub fn runconv() {
-    #[cfg(all(feature = "ezkl", not(target_arch = "wasm32")))]
+    #[cfg(not(target_arch = "wasm32"))]
     env_logger::init();
 
     const KERNEL_HEIGHT: usize = 5;
@@ -318,18 +307,13 @@ pub fn runconv() {
         tst_lbl: _,
         ..
     } = MnistBuilder::new()
-        .base_path("examples/data")
         .label_format_digit()
         .training_set_length(50_000)
         .validation_set_length(10_000)
         .test_set_length(10_000)
         .finalize();
 
-    let mut train_data = Tensor::from(
-        trn_img
-            .iter()
-            .map(|x| integer_rep_to_felt::<F>(*x as IntegerRep / 16)),
-    );
+    let mut train_data = Tensor::from(trn_img.iter().map(|x| i32_to_felt::<F>(*x as i32 / 16)));
     train_data.reshape(&[50_000, 28, 28]).unwrap();
 
     let mut train_labels = Tensor::from(trn_lbl.iter().map(|x| *x as f32));
@@ -357,8 +341,8 @@ pub fn runconv() {
             .map(|fl| {
                 let dx = fl * 32_f32;
                 let rounded = dx.round();
-                let integral: IntegerRep = unsafe { rounded.to_int_unchecked() };
-                fieldutils::integer_rep_to_felt(integral)
+                let integral: i32 = unsafe { rounded.to_int_unchecked() };
+                fieldutils::i32_to_felt(integral)
             }),
     );
 
@@ -369,8 +353,7 @@ pub fn runconv() {
 
     let l0_kernels = l0_kernels.try_into().unwrap();
 
-    let mut l0_bias =
-        Tensor::<F>::from((0..OUT_CHANNELS).map(|_| fieldutils::integer_rep_to_felt(0)));
+    let mut l0_bias = Tensor::<F>::from((0..OUT_CHANNELS).map(|_| fieldutils::i32_to_felt(0)));
     l0_bias.set_visibility(&ezkl::graph::Visibility::Private);
 
     let l0_bias = l0_bias.try_into().unwrap();
@@ -378,8 +361,8 @@ pub fn runconv() {
     let mut l2_biases = Tensor::<F>::from(myparams.biases.into_iter().map(|fl| {
         let dx = fl * 32_f32;
         let rounded = dx.round();
-        let integral: IntegerRep = unsafe { rounded.to_int_unchecked() };
-        fieldutils::integer_rep_to_felt(integral)
+        let integral: i32 = unsafe { rounded.to_int_unchecked() };
+        fieldutils::i32_to_felt(integral)
     }));
     l2_biases.set_visibility(&ezkl::graph::Visibility::Private);
     l2_biases.reshape(&[l2_biases.len(), 1]).unwrap();
@@ -389,8 +372,8 @@ pub fn runconv() {
     let mut l2_weights = Tensor::<F>::from(myparams.weights.into_iter().flatten().map(|fl| {
         let dx = fl * 32_f32;
         let rounded = dx.round();
-        let integral: IntegerRep = unsafe { rounded.to_int_unchecked() };
-        fieldutils::integer_rep_to_felt(integral)
+        let integral: i32 = unsafe { rounded.to_int_unchecked() };
+        fieldutils::i32_to_felt(integral)
     }));
     l2_weights.set_visibility(&ezkl::graph::Visibility::Private);
     l2_weights.reshape(&[CLASSES, LEN]).unwrap();
@@ -416,13 +399,13 @@ pub fn runconv() {
         l2_params: [l2_weights, l2_biases],
     };
 
-    let public_input: Tensor<IntegerRep> = vec![
-        -25124, -19304, -16668, -4399, -6209, -4548, -2317, -8349, -6117, -23461,
+    let public_input: Tensor<i32> = vec![
+        -25124i32, -19304, -16668, -4399, -6209, -4548, -2317, -8349, -6117, -23461,
     ]
     .into_iter()
     .into();
 
-    let pi_inner: Tensor<F> = public_input.map(integer_rep_to_felt::<F>);
+    let pi_inner: Tensor<F> = public_input.map(i32_to_felt::<F>);
 
     println!("MOCK PROVING");
     let now = Instant::now();
@@ -506,7 +489,6 @@ pub fn runconv() {
         strategy,
         pi_for_real_prover,
         &mut transcript,
-        params.n(),
     );
     assert!(verify.is_ok());
 

examples/mlp_4d_einsum.rs

@@ -2,7 +2,7 @@ use ezkl::circuit::region::RegionCtx;
 use ezkl::circuit::{
     ops::lookup::LookupOp, ops::poly::PolyOp, BaseConfig as PolyConfig, CheckMode,
 };
-use ezkl::fieldutils::{integer_rep_to_felt, IntegerRep};
+use ezkl::fieldutils::i32_to_felt;
 use ezkl::tensor::*;
 use halo2_proofs::dev::MockProver;
 use halo2_proofs::{
@@ -23,8 +23,8 @@ struct MyConfig {
 #[derive(Clone)]
 struct MyCircuit<
     const LEN: usize, //LEN = CHOUT x OH x OW flattened
-    const LOOKUP_MIN: IntegerRep,
-    const LOOKUP_MAX: IntegerRep,
+    const LOOKUP_MIN: i128,
+    const LOOKUP_MAX: i128,
 > {
     // Given the stateless MyConfig type information, a DNN trace is determined by its input and the parameters of its layers.
     // Computing the trace still requires a forward pass. The intermediate activations are stored only by the layouter.
@@ -34,7 +34,7 @@ struct MyCircuit<
     _marker: PhantomData<F>,
 }
 
-impl<const LEN: usize, const LOOKUP_MIN: IntegerRep, const LOOKUP_MAX: IntegerRep> Circuit<F>
+impl<const LEN: usize, const LOOKUP_MIN: i128, const LOOKUP_MAX: i128> Circuit<F>
     for MyCircuit<LEN, LOOKUP_MIN, LOOKUP_MAX>
 {
     type Config = MyConfig;
@@ -53,10 +53,6 @@ impl<const LEN: usize, const LOOKUP_MIN: IntegerRep, const LOOKUP_MAX: IntegerRe
         let output = VarTensor::new_advice(cs, K, 1, LEN);
         // tells the config layer to add an affine op to the circuit gate
 
-        let _constant = VarTensor::constant_cols(cs, K, LEN, false);
-
-        println!("INPUT COL {:#?}", input);
-
         let mut layer_config = PolyConfig::<F>::configure(
             cs,
             &[input.clone(), params.clone()],
@@ -64,12 +60,17 @@ impl<const LEN: usize, const LOOKUP_MIN: IntegerRep, const LOOKUP_MAX: IntegerRe
             CheckMode::SAFE,
         );
 
+        // sets up a new ReLU table and resuses it for l1 and l3 non linearities
         layer_config
-            .configure_range_check(cs, &input, &params, (-1, 1), K)
-            .unwrap();
-
-        layer_config
-            .configure_range_check(cs, &input, &params, (0, 1023), K)
+            .configure_lookup(
+                cs,
+                &input,
+                &output,
+                &params,
+                (LOOKUP_MIN, LOOKUP_MAX),
+                K,
+                &LookupOp::ReLU,
+            )
             .unwrap();
 
         // sets up a new ReLU table and resuses it for l1 and l3 non linearities
@@ -103,16 +104,11 @@ impl<const LEN: usize, const LOOKUP_MIN: IntegerRep, const LOOKUP_MAX: IntegerRe
     ) -> Result<(), Error> {
         config.layer_config.layout_tables(&mut layouter).unwrap();
 
-        config
-            .layer_config
-            .layout_range_checks(&mut layouter)
-            .unwrap();
-
         let x = layouter
             .assign_region(
                 || "mlp_4d",
                 |region| {
-                    let mut region = RegionCtx::new(region, 0, 1, 1024, 2);
+                    let mut region = RegionCtx::new(region, 0, 1);
                     let x = config
                         .layer_config
                         .layout(
@@ -145,14 +141,7 @@ impl<const LEN: usize, const LOOKUP_MIN: IntegerRep, const LOOKUP_MAX: IntegerRe
                     println!("x shape: {:?}", x.dims());
                     let mut x = config
                         .layer_config
-                        .layout(
-                            &mut region,
-                            &[x],
-                            Box::new(PolyOp::LeakyReLU {
-                                scale: 1,
-                                slope: 0.0.into(),
-                            }),
-                        )
+                        .layout(&mut region, &[x], Box::new(LookupOp::ReLU))
                         .unwrap()
                         .unwrap();
                     println!("3");
@@ -188,14 +177,7 @@ impl<const LEN: usize, const LOOKUP_MIN: IntegerRep, const LOOKUP_MAX: IntegerRe
                     println!("x shape: {:?}", x.dims());
                     let x = config
                         .layer_config
-                        .layout(
-                            &mut region,
-                            &[x],
-                            Box::new(PolyOp::LeakyReLU {
-                                scale: 1,
-                                slope: 0.0.into(),
-                            }),
-                        )
+                        .layout(&mut region, &[x], Box::new(LookupOp::ReLU))
                         .unwrap();
                     println!("6");
                     println!("offset: {}", region.row());
@@ -230,36 +212,36 @@ impl<const LEN: usize, const LOOKUP_MIN: IntegerRep, const LOOKUP_MAX: IntegerRe
 }
 
 pub fn runmlp() {
-    #[cfg(all(feature = "ezkl", not(target_arch = "wasm32")))]
+    #[cfg(not(target_arch = "wasm32"))]
     env_logger::init();
     // parameters
-    let mut l0_kernel: Tensor<F> = Tensor::<IntegerRep>::new(
+    let mut l0_kernel: Tensor<F> = Tensor::<i32>::new(
         Some(&[10, 0, 0, -1, 0, 10, 1, 0, 0, 1, 10, 0, 1, 0, 0, 10]),
         &[4, 4],
     )
     .unwrap()
-    .map(integer_rep_to_felt);
+    .map(i32_to_felt);
     l0_kernel.set_visibility(&ezkl::graph::Visibility::Private);
 
-    let mut l0_bias: Tensor<F> = Tensor::<IntegerRep>::new(Some(&[0, 0, 0, 1]), &[4, 1])
+    let mut l0_bias: Tensor<F> = Tensor::<i32>::new(Some(&[0, 0, 0, 1]), &[4, 1])
         .unwrap()
-        .map(integer_rep_to_felt);
+        .map(i32_to_felt);
     l0_bias.set_visibility(&ezkl::graph::Visibility::Private);
 
-    let mut l2_kernel: Tensor<F> = Tensor::<IntegerRep>::new(
+    let mut l2_kernel: Tensor<F> = Tensor::<i32>::new(
         Some(&[0, 3, 10, -1, 0, 10, 1, 0, 0, 1, 0, 12, 1, -2, 32, 0]),
         &[4, 4],
     )
     .unwrap()
-    .map(integer_rep_to_felt);
+    .map(i32_to_felt);
     l2_kernel.set_visibility(&ezkl::graph::Visibility::Private);
     // input data, with 1 padding to allow for bias
-    let input: Tensor<Value<F>> = Tensor::<IntegerRep>::new(Some(&[-30, -21, 11, 40]), &[4, 1])
+    let input: Tensor<Value<F>> = Tensor::<i32>::new(Some(&[-30, -21, 11, 40]), &[4, 1])
         .unwrap()
         .into();
-    let mut l2_bias: Tensor<F> = Tensor::<IntegerRep>::new(Some(&[0, 0, 0, 1]), &[4, 1])
+    let mut l2_bias: Tensor<F> = Tensor::<i32>::new(Some(&[0, 0, 0, 1]), &[4, 1])
         .unwrap()
-        .map(integer_rep_to_felt);
+        .map(i32_to_felt);
     l2_bias.set_visibility(&ezkl::graph::Visibility::Private);
 
     let circuit = MyCircuit::<4, -8192, 8192> {
@@ -269,12 +251,12 @@ pub fn runmlp() {
         _marker: PhantomData,
     };
 
-    let public_input: Vec<IntegerRep> = unsafe {
+    let public_input: Vec<i32> = unsafe {
         vec![
-            (531f32 / 128f32).round().to_int_unchecked::<IntegerRep>(),
-            (103f32 / 128f32).round().to_int_unchecked::<IntegerRep>(),
-            (4469f32 / 128f32).round().to_int_unchecked::<IntegerRep>(),
-            (2849f32 / 128f32).to_int_unchecked::<IntegerRep>(),
+            (531f32 / 128f32).round().to_int_unchecked::<i32>(),
+            (103f32 / 128f32).round().to_int_unchecked::<i32>(),
+            (4469f32 / 128f32).round().to_int_unchecked::<i32>(),
+            (2849f32 / 128f32).to_int_unchecked::<i32>(),
         ]
     };
 
@@ -283,10 +265,7 @@ pub fn runmlp() {
     let prover = MockProver::run(
         K as u32,
         &circuit,
-        vec![public_input
-            .iter()
-            .map(|x| integer_rep_to_felt::<F>(*x))
-            .collect()],
+        vec![public_input.iter().map(|x| i32_to_felt::<F>(*x)).collect()],
     )
     .unwrap();
     prover.assert_satisfied();

examples/notebooks/applications/data_attest.ipynb

@@ -251,7 +251,7 @@
                 "with open(cal_path, \"w\") as f:\n",
                 "    json.dump(cal_data, f)\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "res = ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -307,7 +307,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "await ezkl.setup_test_evm_witness(\n",
+                "ezkl.setup_test_evm_witness(\n",
                 "    data_path,\n",
                 "    compiled_model_path,\n",
                 "    # we write the call data to the same file as the input data\n",
@@ -333,7 +333,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "res = await ezkl.get_srs( settings_path)\n"
+                "res = ezkl.get_srs( settings_path)\n"
             ]
         },
         {
@@ -354,7 +354,7 @@
                 "\n",
                 "witness_path = \"witness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)"
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)"
             ]
         },
         {
@@ -462,7 +462,7 @@
                 "abi_path = 'test.abi'\n",
                 "sol_code_path = 'test.sol'\n",
                 "\n",
-                "res = await ezkl.create_evm_verifier(\n",
+                "res = ezkl.create_evm_verifier(\n",
                 "        vk_path,\n",
                 "        \n",
                 "        settings_path,\n",
@@ -482,7 +482,7 @@
                 "\n",
                 "addr_path_verifier = \"addr_verifier.txt\"\n",
                 "\n",
-                "res = await ezkl.deploy_evm(\n",
+                "res = ezkl.deploy_evm(\n",
                 "    addr_path_verifier,\n",
                 "    sol_code_path,\n",
                 "    'http://127.0.0.1:3030'\n",
@@ -510,7 +510,7 @@
                 "sol_code_path = 'test.sol'\n",
                 "input_path = 'input.json'\n",
                 "\n",
-                "res = await ezkl.create_evm_data_attestation(\n",
+                "res = ezkl.create_evm_data_attestation(\n",
                 "        input_path,\n",
                 "        settings_path,\n",
                 "        sol_code_path,\n",
@@ -535,7 +535,7 @@
             "source": [
                 "addr_path_da = \"addr_da.txt\"\n",
                 "\n",
-                "res = await ezkl.deploy_da_evm(\n",
+                "res = ezkl.deploy_da_evm(\n",
                 "        addr_path_da,\n",
                 "        input_path,\n",
                 "        settings_path,\n",
@@ -567,7 +567,7 @@
                 "with open(addr_path_da, 'r') as f:\n",
                 "    addr_da = f.read()\n",
                 "\n",
-                "res = await ezkl.verify_evm(\n",
+                "res = ezkl.verify_evm(\n",
                 "    addr,\n",
                 "    proof_path,\n",
                 "    RPC_URL,\n",
@@ -592,7 +592,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.5"
+            "version": "3.9.15"
         },
         "orig_nbformat": 4
     },

examples/notebooks/applications/data_attest_hashed.ipynb

@@ -249,7 +249,7 @@
                 "with open(cal_path, \"w\") as f:\n",
                 "    json.dump(cal_data, f)\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "res = ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -278,7 +278,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "res = await ezkl.get_srs( settings_path)\n"
+                "res = ezkl.get_srs( settings_path)\n"
             ]
         },
         {
@@ -299,7 +299,7 @@
                 "\n",
                 "witness_path = \"witness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "\n"
             ]
         },
@@ -309,7 +309,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "print(ezkl.felt_to_big_endian(res['processed_outputs']['poseidon_hash'][0]))"
+                "print(ezkl.string_to_felt(res['processed_outputs']['poseidon_hash'][0]))"
             ]
         },
         {
@@ -325,7 +325,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "from web3 import Web3, HTTPProvider\n",
+                "from web3 import Web3, HTTPProvider, utils\n",
                 "from solcx import compile_standard\n",
                 "from decimal import Decimal\n",
                 "import json\n",
@@ -338,7 +338,7 @@
                 "\n",
                 "def test_on_chain_data(res):\n",
                 "    # Step 0: Convert the tensor to a flat list\n",
-                "    data = [int(ezkl.felt_to_big_endian(res['processed_outputs']['poseidon_hash'][0]), 0)]\n",
+                "    data = [int(ezkl.string_to_felt(res['processed_outputs']['poseidon_hash'][0]), 0)]\n",
                 "\n",
                 "    # Step 1: Prepare the data\n",
                 "    # Step 2: Prepare and compile the contract.\n",
@@ -518,7 +518,7 @@
                 "abi_path = 'test.abi'\n",
                 "sol_code_path = 'test.sol'\n",
                 "\n",
-                "res = await ezkl.create_evm_verifier(\n",
+                "res = ezkl.create_evm_verifier(\n",
                 "        vk_path,\n",
                 "        \n",
                 "        settings_path,\n",
@@ -538,7 +538,7 @@
                 "\n",
                 "addr_path_verifier = \"addr_verifier.txt\"\n",
                 "\n",
-                "res = await ezkl.deploy_evm(\n",
+                "res = ezkl.deploy_evm(\n",
                 "    addr_path_verifier,\n",
                 "    sol_code_path,\n",
                 "    'http://127.0.0.1:3030'\n",
@@ -566,7 +566,7 @@
                 "sol_code_path = 'test.sol'\n",
                 "input_path = 'input.json'\n",
                 "\n",
-                "res = await ezkl.create_evm_data_attestation(\n",
+                "res = ezkl.create_evm_data_attestation(\n",
                 "        input_path,\n",
                 "        settings_path,\n",
                 "        sol_code_path,\n",
@@ -591,7 +591,7 @@
             "source": [
                 "addr_path_da = \"addr_da.txt\"\n",
                 "\n",
-                "res = await ezkl.deploy_da_evm(\n",
+                "res = ezkl.deploy_da_evm(\n",
                 "        addr_path_da,\n",
                 "        input_path,\n",
                 "        settings_path,\n",
@@ -623,7 +623,7 @@
                 "with open(addr_path_da, 'r') as f:\n",
                 "    addr_da = f.read()\n",
                 "\n",
-                "res = await ezkl.verify_evm(\n",
+                "res = ezkl.verify_evm(\n",
                 "    addr,\n",
                 "    proof_path,\n",
                 "    RPC_URL,\n",
@@ -648,7 +648,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.7"
+            "version": "3.9.13"
         },
         "orig_nbformat": 4
     },

examples/notebooks/applications/ezkl_demo.ipynb

@@ -352,8 +352,14 @@
         "# Specify all the files we need\n",
         "\n",
         "model_path = os.path.join('network.onnx')\n",
+        "compiled_model_path = os.path.join('network.ezkl')\n",
+        "pk_path = os.path.join('test.pk')\n",
+        "vk_path = os.path.join('test.vk')\n",
+        "settings_path = os.path.join('settings.json')\n",
+        "\n",
+        "witness_path = os.path.join('witness.json')\n",
         "data_path = os.path.join('input.json')\n",
-        "cal_data_path = os.path.join('calibration.json')"
+        "cal_data_path = os.path.join('cal_data.json')"
       ]
     },
     {
@@ -418,7 +424,7 @@
       "source": [
         "!RUST_LOG=trace\n",
         "# TODO: Dictionary outputs\n",
-        "res = ezkl.gen_settings()\n",
+        "res = ezkl.gen_settings(model_path, settings_path)\n",
         "assert res == True\n",
         "\n"
       ]
@@ -437,7 +443,7 @@
         "\n",
         "# Optimize for resources, we cap logrows at 12 to reduce setup and proving time, at the expense of accuracy\n",
         "# You may want to increase the max logrows if accuracy is a concern\n",
-        "res = await ezkl.calibrate_settings(target = \"resources\", max_logrows = 12, scales = [2])"
+        "res = ezkl.calibrate_settings(cal_data_path, model_path, settings_path, \"resources\", max_logrows = 12, scales = [2])"
       ]
     },
     {
@@ -457,7 +463,7 @@
       },
       "outputs": [],
       "source": [
-        "res = ezkl.compile_circuit()\n",
+        "res = ezkl.compile_circuit(model_path, compiled_model_path, settings_path)\n",
         "assert res == True"
       ]
     },
@@ -478,7 +484,7 @@
       },
       "outputs": [],
       "source": [
-        "res = await ezkl.get_srs()"
+        "res = ezkl.get_srs( settings_path)"
       ]
     },
     {
@@ -498,10 +504,17 @@
       },
       "outputs": [],
       "source": [
-        "res = ezkl.setup()\n",
+        "res = ezkl.setup(\n",
+        "        compiled_model_path,\n",
+        "        vk_path,\n",
+        "        pk_path,\n",
+        "    )\n",
         "\n",
         "\n",
-        "assert res == True"
+        "assert res == True\n",
+        "assert os.path.isfile(vk_path)\n",
+        "assert os.path.isfile(pk_path)\n",
+        "assert os.path.isfile(settings_path)"
       ]
     },
     {
@@ -526,7 +539,7 @@
         "# now generate the witness file\n",
         "witness_path = os.path.join('witness.json')\n",
         "\n",
-        "res = await ezkl.gen_witness()\n",
+        "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
         "assert os.path.isfile(witness_path)"
       ]
     },
@@ -546,7 +559,13 @@
         "\n",
         "proof_path = os.path.join('proof.json')\n",
         "\n",
-        "proof = ezkl.prove(proof_type=\"single\", proof_path=proof_path)\n",
+        "proof = ezkl.prove(\n",
+        "        witness_path,\n",
+        "        compiled_model_path,\n",
+        "        pk_path,\n",
+        "        proof_path,\n",
+        "        \"single\",\n",
+        "    )\n",
         "\n",
         "print(proof)\n",
         "assert os.path.isfile(proof_path)"
@@ -566,7 +585,11 @@
       "source": [
         "# verify our proof\n",
         "\n",
-        "res = ezkl.verify()\n",
+        "res = ezkl.verify(\n",
+        "        proof_path,\n",
+        "        settings_path,\n",
+        "        vk_path,\n",
+        "    )\n",
         "\n",
         "assert res == True\n",
         "print(\"verified\")"
@@ -641,9 +664,12 @@
         "sol_code_path = os.path.join('Verifier.sol')\n",
         "abi_path = os.path.join('Verifier.abi')\n",
         "\n",
-        "res = await ezkl.create_evm_verifier(\n",
-        "        sol_code_path=sol_code_path,\n",
-        "        abi_path=abi_path, \n",
+        "res = ezkl.create_evm_verifier(\n",
+        "        vk_path,\n",
+        "        \n",
+        "        settings_path,\n",
+        "        sol_code_path,\n",
+        "        abi_path\n",
         "    )\n",
         "\n",
         "assert res == True\n",
@@ -669,19 +695,17 @@
         "formatted_output = \"[\"\n",
         "for i, value in enumerate(proof[\"instances\"]):\n",
         "    for j, field_element in enumerate(value):\n",
-        "        onchain_input_array.append(ezkl.felt_to_big_endian(field_element))\n",
-        "        formatted_output += '\"' + str(onchain_input_array[-1]) + '\"'\n",
+        "        onchain_input_array.append(ezkl.string_to_felt(field_element))\n",
+        "        formatted_output += str(onchain_input_array[-1])\n",
         "        if j != len(value) - 1:\n",
         "            formatted_output += \", \"\n",
-        "    if i != len(proof[\"instances\"]) - 1:\n",
-        "        formatted_output += \", \"\n",
-        "formatted_output += \"]\"\n",
+        "    formatted_output += \"]\"\n",
         "\n",
         "# This will be the values you use onchain\n",
         "# copy them over to remix and see if they verify\n",
         "# What happens when you change a value?\n",
         "print(\"pubInputs: \", formatted_output)\n",
-        "print(\"proof: \", proof[\"proof\"])"
+        "print(\"proof: \", \"0x\" + proof[\"proof\"])"
       ]
     },
     {
@@ -731,7 +755,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.12.2"
+      "version": "3.9.15"
     }
   },
   "nbformat": 4,

examples/notebooks/applications/mean_postgres.ipynb

@@ -0,0 +1,509 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Mean of ERC20 transfer amounts\n",
+        "\n",
+        "This notebook shows how to calculate the mean of ERC20 transfer amounts, pulling data in from a Postgres database. First we install and get the necessary libraries running. \n",
+        "The first of which is [e2pg](https://github.com/indexsupply/x/tree/main/docs/e2pg), which is a library that allows us to pull data from the Ethereum blockchain into a Postgres database.\n",
+        "\n",
+        "Make sure you install postgres if needed https://postgresapp.com/. \n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "import getpass\n",
+        "\n",
+        "\n",
+        "# swap out for the relevant linux/amd64, darwin/arm64, darwin/amd64, windows/amd64\n",
+        "os.system(\"curl -LO https://indexsupply.net/bin/main/linux/amd64/e2pg\")\n",
+        "os.system(\"chmod +x e2pg\")\n",
+        "\n",
+        "\n",
+        "os.environ[\"PG_URL\"] = \"postgresql://\" + getpass.getuser() + \":@localhost:5432/e2pg\"\n",
+        "os.environ[\"RLPS_URL\"] = \"https://1.rlps.indexsupply.net\"\n",
+        "\n",
+        "# print the two env variables\n",
+        "os.system(\"echo $PG_URL\")\n",
+        "os.system(\"echo $RLPS_URL\")\n",
+        "\n",
+        "os.system(\"createdb -h localhost -p 5432 e2pg\")\n",
+        "# equivalent of nohup ./e2pg -reset -e $RLPS_URL -pg $PG_URL &\n",
+        "e2pg_process = os.system(\"nohup ./e2pg -e $RLPS_URL -pg $PG_URL &\")\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "2wIAHwqH2_mo"
+      },
+      "source": [
+        "**Import Dependencies**"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "9Byiv2Nc2MsK"
+      },
+      "outputs": [],
+      "source": [
+        "# check if notebook is in colab\n",
+        "try:\n",
+        "    # install ezkl\n",
+        "    import google.colab\n",
+        "    import subprocess\n",
+        "    import sys\n",
+        "    subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"ezkl\"])\n",
+        "    subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"onnx\"])\n",
+        "\n",
+        "# rely on local installation of ezkl if the notebook is not in colab\n",
+        "except:\n",
+        "    pass\n",
+        "\n",
+        "import ezkl\n",
+        "import torch\n",
+        "import datetime\n",
+        "import pandas as pd\n",
+        "import requests\n",
+        "import json\n",
+        "import os\n",
+        "\n",
+        "# import logging\n",
+        "# # # uncomment for more descriptive logging \n",
+        "# FORMAT = '%(levelname)s %(name)s %(asctime)-15s %(filename)s:%(lineno)d %(message)s'\n",
+        "# logging.basicConfig(format=FORMAT)\n",
+        "# logging.getLogger().setLevel(logging.DEBUG)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "osjj-0Ta3E8O"
+      },
+      "source": [
+        "**Create Computational Graph**"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "x1vl9ZXF3EEW",
+        "outputId": "bda21d02-fe5f-4fb2-8106-f51a8e2e67aa"
+      },
+      "outputs": [],
+      "source": [
+        "from torch import nn\n",
+        "import torch\n",
+        "\n",
+        "\n",
+        "class Model(nn.Module):\n",
+        "    def __init__(self):\n",
+        "        super(Model, self).__init__()\n",
+        "\n",
+        "    # x is a time series \n",
+        "    def forward(self, x):\n",
+        "        return [torch.mean(x)]\n",
+        "\n",
+        "\n",
+        "\n",
+        "\n",
+        "circuit = Model()\n",
+        "\n",
+        "\n",
+        "\n",
+        "\n",
+        "x = 0.1*torch.rand(1,*[1,5], requires_grad=True)\n",
+        "\n",
+        "# # print(torch.__version__)\n",
+        "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
+        "\n",
+        "print(device)\n",
+        "\n",
+        "circuit.to(device)\n",
+        "\n",
+        "# Flips the neural net into inference mode\n",
+        "circuit.eval()\n",
+        "\n",
+        "# Export the model\n",
+        "torch.onnx.export(circuit,               # model being run\n",
+        "                      x,                   # model input (or a tuple for multiple inputs)\n",
+        "                      \"lol.onnx\",            # where to save the model (can be a file or file-like object)\n",
+        "                      export_params=True,        # store the trained parameter weights inside the model file\n",
+        "                      opset_version=11,          # the ONNX version to export the model to\n",
+        "                      do_constant_folding=True,  # whether to execute constant folding for optimization\n",
+        "                      input_names = ['input'],   # the model's input names\n",
+        "                      output_names = ['output'], # the model's output names\n",
+        "                      dynamic_axes={'input' : {0 : 'batch_size'},    # variable length axes\n",
+        "                                    'output' : {0 : 'batch_size'}})\n",
+        "\n",
+        "# export(circuit, input_shape=[1, 20])\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "E3qCeX-X5xqd"
+      },
+      "source": [
+        "**Set Data Source and Get Data**"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "6RAMplxk5xPk",
+        "outputId": "bd2158fe-0c00-44fd-e632-6a3f70cdb7c9"
+      },
+      "outputs": [],
+      "source": [
+        "# make an input.json file from the df above\n",
+        "input_filename = os.path.join('input.json')\n",
+        "\n",
+        "pg_input_file = dict(input_data = {\n",
+        "  \"host\": \"localhost\",\n",
+        "  # make sure you replace this with your own username\n",
+        "  \"user\": getpass.getuser(),\n",
+        "  \"dbname\": \"e2pg\",\n",
+        "  \"password\": \"\",\n",
+        "  \"query\": \"SELECT value FROM erc20_transfers ORDER BY block_number DESC LIMIT 5\",\n",
+        "  \"port\": \"5432\",\n",
+        "})\n",
+        "\n",
+        "json_formatted_str = json.dumps(pg_input_file, indent=2)\n",
+        "print(json_formatted_str)\n",
+        "\n",
+        "\n",
+        "    # Serialize data into file:\n",
+        "json.dump( pg_input_file, open(input_filename, 'w' ))\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# this corresponds to 4 batches\n",
+        "calibration_filename = os.path.join('calibration.json')\n",
+        "\n",
+        "pg_cal_file = dict(input_data = {\n",
+        "  \"host\": \"localhost\",\n",
+        "  # make sure you replace this with your own username\n",
+        "  \"user\": getpass.getuser(),\n",
+        "  \"dbname\": \"e2pg\",\n",
+        "  \"password\": \"\",\n",
+        "  \"query\": \"SELECT value FROM erc20_transfers ORDER BY block_number DESC LIMIT 20\",\n",
+        "  \"port\": \"5432\",\n",
+        "})\n",
+        "\n",
+        "    # Serialize data into file:\n",
+        "json.dump( pg_cal_file, open(calibration_filename, 'w' ))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "eLJ7oirQ_HQR"
+      },
+      "source": [
+        "**EZKL Workflow**"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "onnx_filename = os.path.join('lol.onnx')\n",
+        "compiled_filename = os.path.join('lol.compiled')\n",
+        "settings_filename = os.path.join('settings.json')\n",
+        "\n",
+        "ezkl.gen_settings(onnx_filename, settings_filename)\n",
+        "\n",
+        "ezkl.calibrate_settings(\n",
+        "    input_filename, onnx_filename, settings_filename, \"resources\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "rNw0C9QL6W88"
+      },
+      "outputs": [],
+      "source": [
+        "# setup kzg params\n",
+        "params_path = os.path.join('kzg.params')\n",
+        "\n",
+        "res = ezkl.get_srs(params_path, settings_filename)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "\n",
+        "ezkl.compile_circuit(onnx_filename, compiled_filename, settings_filename)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "4MmE9SX66_Il",
+        "outputId": "16403639-66a4-4280-ac7f-6966b75de5a3"
+      },
+      "outputs": [],
+      "source": [
+        "# generate settings\n",
+        "\n",
+        "\n",
+        "# show the settings.json\n",
+        "with open(\"settings.json\") as f:\n",
+        "  data = json.load(f)\n",
+        "  json_formatted_str = json.dumps(data, indent=2)\n",
+        "\n",
+        "  print(json_formatted_str)\n",
+        "\n",
+        "assert os.path.exists(\"settings.json\")\n",
+        "assert os.path.exists(\"input.json\")\n",
+        "assert os.path.exists(\"lol.onnx\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "fULvvnK7_CMb"
+      },
+      "outputs": [],
+      "source": [
+        "pk_path = os.path.join('test.pk')\n",
+        "vk_path = os.path.join('test.vk')\n",
+        "params_path = os.path.join('kzg.params')\n",
+        "\n",
+        "\n",
+        "# setup the proof\n",
+        "res = ezkl.setup(\n",
+        "        compiled_filename,\n",
+        "        vk_path,\n",
+        "        pk_path,\n",
+        "        params_path,\n",
+        "        settings_filename,\n",
+        "    )\n",
+        "\n",
+        "assert res == True\n",
+        "assert os.path.isfile(vk_path)\n",
+        "assert os.path.isfile(pk_path)\n",
+        "assert os.path.isfile(settings_filename)\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "\n",
+        "witness_path = \"witness.json\"\n",
+        "\n",
+        "res = ezkl.gen_witness(input_filename, compiled_filename, witness_path)\n",
+        "assert os.path.isfile(witness_path)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Oog3j6Kd-Wed",
+        "outputId": "5839d0c1-5b43-476e-c2f8-6707de562260"
+      },
+      "outputs": [],
+      "source": [
+        "# prove the zk circuit\n",
+        "# GENERATE A PROOF\n",
+        "proof_path = os.path.join('test.pf')\n",
+        "\n",
+        "\n",
+        "proof = ezkl.prove(\n",
+        "        witness_path,\n",
+        "        compiled_filename,\n",
+        "        pk_path,\n",
+        "        proof_path,\n",
+        "        params_path,\n",
+        "        \"single\",\n",
+        "    )\n",
+        "\n",
+        "\n",
+        "assert os.path.isfile(proof_path)\n",
+        "\n",
+        "# verify\n",
+        "res = ezkl.verify(\n",
+        "        proof_path,\n",
+        "        settings_filename,\n",
+        "        vk_path,\n",
+        "        params_path,\n",
+        "    )\n",
+        "\n",
+        "assert res == True\n",
+        "print(\"verified\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "W7tAa-DFAtvS"
+      },
+      "source": [
+        "# Part 2 (Using the ZK Computational Graph Onchain!)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "8Ym91kaVAIB6"
+      },
+      "source": [
+        "**Now How Do We Do It Onchain?????**"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 339
+        },
+        "id": "fodkNgwS70FM",
+        "outputId": "827b5efd-f74f-44de-c114-861b3a86daf2"
+      },
+      "outputs": [],
+      "source": [
+        "# first we need to create evm verifier\n",
+        "print(vk_path)\n",
+        "print(params_path)\n",
+        "print(settings_filename)\n",
+        "\n",
+        "\n",
+        "abi_path = 'test.abi'\n",
+        "sol_code_path = 'test.sol'\n",
+        "\n",
+        "res = ezkl.create_evm_verifier(\n",
+        "        vk_path,\n",
+        "        params_path,\n",
+        "        settings_filename,\n",
+        "        sol_code_path,\n",
+        "        abi_path,\n",
+        "    )\n",
+        "assert res == True"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Make sure anvil is running locally first\n",
+        "# run with $ anvil -p 3030\n",
+        "# we use the default anvil node here\n",
+        "import json\n",
+        "\n",
+        "address_path = os.path.join(\"address.json\")\n",
+        "\n",
+        "res = ezkl.deploy_evm(\n",
+        "    address_path,\n",
+        "    sol_code_path,\n",
+        "    'http://127.0.0.1:3030'\n",
+        ")\n",
+        "\n",
+        "assert res == True\n",
+        "\n",
+        "with open(address_path, 'r') as file:\n",
+        "    addr = file.read().rstrip()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# read the address from addr_path\n",
+        "addr = None\n",
+        "with open(address_path, 'r') as f:\n",
+        "    addr = f.read()\n",
+        "\n",
+        "res = ezkl.verify_evm(\n",
+        "    addr,\n",
+        "    proof_path,\n",
+        "    \"http://127.0.0.1:3030\"\n",
+        ")\n",
+        "assert res == True"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "os.system(\"killall -9 e2pg\");"
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "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": "3.9.13"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}

examples/notebooks/applications/proof_splitting.ipynb

@@ -208,7 +208,7 @@
                 "- `private`: known only to the prover\n",
                 "- `hashed`: the hash pre-image is known to the prover, the prover and verifier know the hash. The prover proves that the they know the pre-image to the hash. \n",
                 "- `encrypted`: the non-encrypted element and the secret key used for decryption are known to the prover. The prover and the verifier know the encrypted element, the public key used to encrypt, and the hash of the decryption hey. The prover proves that they know the pre-image of the hashed decryption key and that this key can in fact decrypt the encrypted message.\n",
-                "- `polycommit`: unblinded advice column which generates a kzg commitment. This doesn't appear in the instances of the circuit and must instead be modified directly within the proof bytes.  \n",
+                "- `kzgcommit`: unblinded advice column which generates a kzg commitment. This doesn't appear in the instances of the circuit and must instead be modified directly within the proof bytes.  \n",
                 "\n",
                 "Here we create the following setup:\n",
                 "- `input_visibility`: \"public\"\n",
@@ -232,9 +232,9 @@
                 "run_args.param_visibility = \"fixed\"\n",
                 "run_args.output_visibility = \"public\"\n",
                 "run_args.input_scale = 2\n",
-                "run_args.logrows = 15\n",
+                "run_args.logrows = 8\n",
                 "\n",
-                "ezkl.get_srs(logrows=run_args.logrows, commitment=ezkl.PyCommitments.KZG)"
+                "ezkl.get_srs(logrows=run_args.logrows)"
             ]
         },
         {
@@ -261,7 +261,7 @@
             "source": [
                 "# iterate over each submodel gen-settings, compile circuit and setup zkSNARK\n",
                 "\n",
-                "async def setup(i):\n",
+                "def setup(i):\n",
                 "    # file names\n",
                 "    model_path = os.path.join('network_split_'+str(i)+'.onnx')\n",
                 "    settings_path = os.path.join('settings_split_'+str(i)+'.json')\n",
@@ -282,7 +282,7 @@
                 "\n",
                 "    # generate settings for the current model\n",
                 "    res = ezkl.gen_settings(model_path, settings_path, py_run_args=run_args)\n",
-                "    res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\", scales=[run_args.input_scale], max_logrows=run_args.logrows)\n",
+                "    res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\", scales=[run_args.input_scale], max_logrows=run_args.logrows)\n",
                 "    assert res == True\n",
                 "\n",
                 "    # load settings and print them to the console\n",
@@ -303,11 +303,11 @@
                 "    assert os.path.isfile(vk_path)\n",
                 "    assert os.path.isfile(pk_path)\n",
                 "\n",
-                "    res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path, vk_path)\n",
+                "    res = ezkl.gen_witness(data_path, compiled_model_path, witness_path, vk_path)\n",
                 "    run_args.input_scale = settings[\"model_output_scales\"][0]\n",
                 "\n",
                 "for i in range(2):\n",
-                "    await setup(i)\n"
+                "    setup(i)\n"
             ]
         },
         {
@@ -385,9 +385,9 @@
                 "###  KZG commitment intermediate calculations\n",
                 "\n",
                 "This time the visibility parameters are:\n",
-                "- `input_visibility`: \"polycommit\"\n",
+                "- `input_visibility`: \"kzgcommit\"\n",
                 "- `param_visibility`: \"public\"\n",
-                "- `output_visibility`: polycommit"
+                "- `output_visibility`: kzgcommit"
             ]
         },
         {
@@ -399,12 +399,12 @@
                 "import ezkl\n",
                 "\n",
                 "run_args = ezkl.PyRunArgs()\n",
-                "run_args.input_visibility = \"polycommit\"\n",
+                "run_args.input_visibility = \"kzgcommit\"\n",
                 "run_args.param_visibility = \"fixed\"\n",
-                "run_args.output_visibility = \"polycommit\"\n",
+                "run_args.output_visibility = \"kzgcommit\"\n",
                 "run_args.variables = [(\"batch_size\", 1)]\n",
                 "run_args.input_scale = 2\n",
-                "run_args.logrows = 15\n"
+                "run_args.logrows = 8\n"
             ]
         },
         {
@@ -414,7 +414,7 @@
             "outputs": [],
             "source": [
                 "for i in range(2):\n",
-                "    await setup(i)"
+                "    setup(i)"
             ]
         },
         {
@@ -466,7 +466,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.5"
+            "version": "3.9.15"
         },
         "orig_nbformat": 4
     },

examples/notebooks/applications/simple_demo_aggregated_proofs.ipynb

@@ -171,7 +171,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -193,7 +193,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -205,7 +205,7 @@
             "source": [
                 "# now generate the witness file \n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -275,6 +275,7 @@
                 "        proof_path,\n",
                 "        settings_path,\n",
                 "        vk_path,\n",
+                "        \n",
                 "    )\n",
                 "\n",
                 "assert res == True\n",
@@ -290,7 +291,7 @@
             "source": [
                 "# Generate a larger SRS. This is needed for the aggregated proof\n",
                 "\n",
-                "res = await ezkl.get_srs(settings_path=None, logrows=21, commitment=ezkl.PyCommitments.KZG)"
+                "res = ezkl.get_srs(settings_path=None, logrows=21)"
             ]
         },
         {
@@ -328,7 +329,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 26,
+            "execution_count": null,
             "id": "171702d3",
             "metadata": {},
             "outputs": [],
@@ -348,7 +349,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 27,
+            "execution_count": null,
             "id": "671dfdd5",
             "metadata": {},
             "outputs": [],
@@ -364,7 +365,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 28,
+            "execution_count": null,
             "id": "50eba2f4",
             "metadata": {},
             "outputs": [],
@@ -374,7 +375,7 @@
                 "sol_code_path = os.path.join(\"Verifier.sol\")\n",
                 "abi_path = os.path.join(\"Verifier_ABI.json\")\n",
                 "\n",
-                "res = await ezkl.create_evm_verifier_aggr(\n",
+                "res = ezkl.create_evm_verifier_aggr(\n",
                 "    [settings_path],\n",
                 "    aggregate_vk_path,\n",
                 "    sol_code_path,\n",
@@ -399,7 +400,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.7"
+            "version": "3.9.15"
         }
     },
     "nbformat": 4,

examples/notebooks/applications/simple_demo_all_public.ipynb

@@ -157,7 +157,6 @@
         {
             "cell_type": "code",
             "execution_count": null,
-            "id": "b78d3cbf",
             "metadata": {},
             "outputs": [],
             "source": [
@@ -171,7 +170,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -205,7 +204,7 @@
             "source": [
                 "# now generate the witness file \n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -299,7 +298,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.3"
+            "version": "3.9.15"
         }
     },
     "nbformat": 4,

examples/notebooks/applications/simple_demo_public_input_output.ipynb

@@ -169,7 +169,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -191,7 +191,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -203,7 +203,7 @@
             "source": [
                 "# now generate the witness file \n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },

examples/notebooks/applications/simple_demo_public_network_output.ipynb

@@ -170,7 +170,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -192,7 +192,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -204,7 +204,7 @@
             "source": [
                 "# now generate the witness file \n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },

examples/notebooks/applications/solvency.ipynb

@@ -9,7 +9,7 @@
       "source": [
         "## Solvency demo\n",
         "\n",
-        "Here we create a demo of a solvency calculation in the manner of [summa-solvency](https://github.com/summa-dev/summa-solvency). The aim here is to demonstrate the use of the new polycommit method detailed [here](https://blog.ezkl.xyz/post/commits/). \n",
+        "Here we create a demo of a solvency calculation in the manner of [summa-solvency](https://github.com/summa-dev/summa-solvency). The aim here is to demonstrate the use of the new kzgcommit method detailed [here](https://blog.ezkl.xyz/post/commits/). \n",
         "\n",
         "In this setup:\n",
         "- the commitments to users, respective balances, and total balance are known are publicly known to the prover and verifier. \n",
@@ -126,7 +126,7 @@
         "# Loop through each element in the y tensor\n",
         "for e in user_preimages:\n",
         "    # Apply the custom function and append the result to the list\n",
-        "    users.append(ezkl.poseidon_hash([ezkl.float_to_felt(e, 0)])[0])\n",
+        "    users.append(ezkl.poseidon_hash([ezkl.float_to_string(e, 0)])[0])\n",
         "\n",
         "users_t = torch.tensor(user_preimages)\n",
         "users_t = users_t.reshape(1, 6)\n",
@@ -177,10 +177,10 @@
         "- `private`: known only to the prover\n",
         "- `hashed`: the hash pre-image is known to the prover, the prover and verifier know the hash. The prover proves that the they know the pre-image to the hash. \n",
         "- `encrypted`: the non-encrypted element and the secret key used for decryption are known to the prover. The prover and the verifier know the encrypted element, the public key used to encrypt, and the hash of the decryption hey. The prover proves that they know the pre-image of the hashed decryption key and that this key can in fact decrypt the encrypted message.\n",
-        "- `polycommit`: unblinded advice column which generates a kzg commitment. This doesn't appear in the instances of the circuit and must instead be modified directly within the proof bytes.  \n",
+        "- `kzgcommit`: unblinded advice column which generates a kzg commitment. This doesn't appear in the instances of the circuit and must instead be modified directly within the proof bytes.  \n",
         "\n",
         "Here we create the following setup:\n",
-        "- `input_visibility`: \"polycommit\"\n",
+        "- `input_visibility`: \"kzgcommit\"\n",
         "- `param_visibility`: \"public\"\n",
         "- `output_visibility`: public\n",
         "\n",
@@ -202,8 +202,8 @@
       "outputs": [],
       "source": [
         "run_args = ezkl.PyRunArgs()\n",
-        "# \"polycommit\" means that the output of the hashing is not visible to the verifier and is instead fed into the computational graph\n",
-        "run_args.input_visibility = \"polycommit\"\n",
+        "# \"kzgcommit\" means that the output of the hashing is not visible to the verifier and is instead fed into the computational graph\n",
+        "run_args.input_visibility = \"kzgcommit\"\n",
         "# the parameters are public\n",
         "run_args.param_visibility = \"fixed\"\n",
         "# the output is public (this is the inequality test)\n",
@@ -250,7 +250,7 @@
       "outputs": [],
       "source": [
         "# srs path\n",
-        "res = await ezkl.get_srs( settings_path)"
+        "res = ezkl.get_srs( settings_path)"
       ]
     },
     {
@@ -297,13 +297,13 @@
         "\n",
         "witness_path = \"witness.json\"\n",
         "\n",
-        "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path, vk_path)\n",
+        "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path, vk_path)\n",
         "assert os.path.isfile(witness_path)\n",
         "\n",
         "# we force the output to be 1 this corresponds to the solvency test being true -- and we set this to a fixed vis output\n",
         "# this means that the output is fixed and the verifier can see it but that if the input is not in the set the output will not be 0 and the verifier will reject\n",
         "witness = json.load(open(witness_path, \"r\"))\n",
-        "witness[\"outputs\"][0] = [ezkl.float_to_felt(1.0, 0)]\n",
+        "witness[\"outputs\"][0] = [ezkl.float_to_string(1.0, 0)]\n",
         "json.dump(witness, open(witness_path, \"w\"))"
       ]
     },
@@ -411,13 +411,13 @@
       "source": [
         "# now generate the witness file\n",
         "\n",
-        "res = await ezkl.gen_witness(data_path_faulty, compiled_model_path, witness_path, vk_path)\n",
+        "res = ezkl.gen_witness(data_path_faulty, compiled_model_path, witness_path, vk_path)\n",
         "assert os.path.isfile(witness_path)\n",
         "\n",
         "# we force the output to be 1 this corresponds to the solvency test being true -- and we set this to a fixed vis output\n",
         "# this means that the output is fixed and the verifier can see it but that if the input is not in the set the output will not be 0 and the verifier will reject\n",
         "witness = json.load(open(witness_path, \"r\"))\n",
-        "witness[\"outputs\"][0] = [ezkl.float_to_felt(1.0, 0)]\n",
+        "witness[\"outputs\"][0] = [ezkl.float_to_string(1.0, 0)]\n",
         "json.dump(witness, open(witness_path, \"w\"))\n"
       ]
     },
@@ -478,11 +478,12 @@
         "import pytest\n",
         "\n",
         "def test_verification():\n",
-        "    with pytest.raises(RuntimeError, match='Failed to run verify: \\\\[halo2\\\\] The constraint system is not satisfied'):\n",
+        "    with pytest.raises(RuntimeError, match='Failed to run verify: The constraint system is not satisfied'):\n",
         "        ezkl.verify(\n",
         "            proof_path,\n",
         "            settings_path,\n",
         "            vk_path,\n",
+        "            \n",
         "        )\n",
         "\n",
         "# Run the test function\n",
@@ -509,7 +510,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.12.3"
+      "version": "3.9.13"
     }
   },
   "nbformat": 4,

examples/notebooks/applications/tictactoe_autoencoder.ipynb

@@ -227,10 +227,6 @@
                 "        self.length = self.compute_length(self.file_good)\n",
                 "        self.data = self.load_data(self.file_good)\n",
                 "\n",
-                "    def __iter__(self):\n",
-                "        for i in range(len(self.data)):\n",
-                "            yield self.data[i]\n",
-                "\n",
                 "    def parse_json_object(self, line):\n",
                 "        try:\n",
                 "            return json.loads(line)\n",
@@ -637,7 +633,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\", scales = [11])"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\", scales = [4])"
             ]
         },
         {
@@ -646,7 +642,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "await ezkl.get_srs( settings_path)"
+                "ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -668,6 +664,7 @@
                 "    compiled_model_path,\n",
                 "    vk_path,\n",
                 "    pk_path,\n",
+                "    \n",
                 ")"
             ]
         },
@@ -683,7 +680,7 @@
                 "    data = json.load(f)\n",
                 "    print(len(data['input_data'][0]))\n",
                 "\n",
-                "await ezkl.gen_witness(data_path, compiled_model_path, witness_path)"
+                "ezkl.gen_witness(data_path, compiled_model_path, witness_path)"
             ]
         },
         {
@@ -753,7 +750,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.2"
+            "version": "3.9.15"
         }
     },
     "nbformat": 4,

examples/notebooks/applications/tictactoe_binary_classification.ipynb

@@ -209,11 +209,6 @@
                 "        self.length = self.compute_length(self.file_good, self.file_bad)\n",
                 "        self.data = self.load_data(self.file_good, self.file_bad)\n",
                 "\n",
-                "    def __iter__(self):\n",
-                "        for i in range(len(self.data)):\n",
-                "            yield self.data[i]\n",
-                "\n",
-                "\n",
                 "    def parse_json_object(self, line):\n",
                 "        try:\n",
                 "            return json.loads(line)\n",
@@ -525,7 +520,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\", scales = [4])"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\", scales = [4])"
             ]
         },
         {
@@ -572,7 +567,7 @@
                 "    data = json.load(f)\n",
                 "    print(len(data['input_data'][0]))\n",
                 "\n",
-                "await ezkl.gen_witness(data_path, compiled_model_path, witness_path)"
+                "ezkl.gen_witness(data_path, compiled_model_path, witness_path)"
             ]
         },
         {
@@ -642,7 +637,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.2"
+            "version": "3.9.15"
         }
     },
     "nbformat": 4,

examples/notebooks/applications/variance.ipynb

@@ -24,7 +24,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 1,
+      "execution_count": null,
       "metadata": {
         "id": "9Byiv2Nc2MsK"
       },
@@ -49,11 +49,7 @@
         "import pandas as pd\n",
         "import requests\n",
         "import json\n",
-        "import os\n",
-        "\n",
-        "import logging\n",
-        "\n",
-        "logging.basicConfig(level=logging.INFO)"
+        "import os"
       ]
     },
     {
@@ -67,7 +63,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -75,15 +71,7 @@
         "id": "x1vl9ZXF3EEW",
         "outputId": "bda21d02-fe5f-4fb2-8106-f51a8e2e67aa"
       },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "cpu\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "from torch import nn\n",
         "import torch\n",
@@ -145,7 +133,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -153,18 +141,7 @@
         "id": "6RAMplxk5xPk",
         "outputId": "bd2158fe-0c00-44fd-e632-6a3f70cdb7c9"
       },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "1715422870\n",
-            "1714818070\n",
-            "https://api.coingecko.com/api/v3/coins/ethereum/market_chart/range?vs_currency=usd&from=1714818070&to=1715422870\n",
-            "<Response [200]>\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "\n",
         "def get_url(coin, currency, start, end):\n",
@@ -197,7 +174,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 4,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -206,115 +183,7 @@
         "id": "WSj1Uxln65vf",
         "outputId": "51422d71-9680-4b51-c4df-e400d20f988b"
       },
-      "outputs": [
-        {
-          "data": {
-            "text/html": [
-              "<div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\n",
-              "        vertical-align: top;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>time</th>\n",
-              "      <th>prices</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>0</th>\n",
-              "      <td>1714820485367</td>\n",
-              "      <td>3146.785806</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1</th>\n",
-              "      <td>1714824033868</td>\n",
-              "      <td>3127.968728</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2</th>\n",
-              "      <td>1714828058243</td>\n",
-              "      <td>3156.141681</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>3</th>\n",
-              "      <td>1714831650751</td>\n",
-              "      <td>3124.834064</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>4</th>\n",
-              "      <td>1714834972229</td>\n",
-              "      <td>3133.115333</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>...</th>\n",
-              "      <td>...</td>\n",
-              "      <td>...</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>163</th>\n",
-              "      <td>1715407579346</td>\n",
-              "      <td>2918.049749</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>164</th>\n",
-              "      <td>1715411090715</td>\n",
-              "      <td>2920.330834</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>165</th>\n",
-              "      <td>1715414554830</td>\n",
-              "      <td>2923.986611</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>166</th>\n",
-              "      <td>1715418419843</td>\n",
-              "      <td>2910.537671</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>167</th>\n",
-              "      <td>1715421675338</td>\n",
-              "      <td>2907.702307</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "<p>168 rows × 2 columns</p>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "              time       prices\n",
-              "0    1714820485367  3146.785806\n",
-              "1    1714824033868  3127.968728\n",
-              "2    1714828058243  3156.141681\n",
-              "3    1714831650751  3124.834064\n",
-              "4    1714834972229  3133.115333\n",
-              "..             ...          ...\n",
-              "163  1715407579346  2918.049749\n",
-              "164  1715411090715  2920.330834\n",
-              "165  1715414554830  2923.986611\n",
-              "166  1715418419843  2910.537671\n",
-              "167  1715421675338  2907.702307\n",
-              "\n",
-              "[168 rows x 2 columns]"
-            ]
-          },
-          "execution_count": 4,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
+      "outputs": [],
       "source": [
         "df = pd.DataFrame(new_data)\n",
         "df\n"
@@ -331,7 +200,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 5,
+      "execution_count": null,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -348,7 +217,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 6,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -356,98 +225,7 @@
         "id": "4MmE9SX66_Il",
         "outputId": "16403639-66a4-4280-ac7f-6966b75de5a3"
       },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "INFO:ezkl.execute:SRS already exists at that path\n",
-            "INFO:ezkl.execute:num calibration batches: 1\n",
-            "INFO:ezkl.execute:read 16777476 bytes from file (vector of len = 16777476)\n",
-            "WARNING:ezkl.execute:\n",
-            "\n",
-            " <------------- Numerical Fidelity Report (input_scale: 4, param_scale: 4, scale_input_multiplier: 10) ------------->\n",
-            "\n",
-            "+------------+--------------+-----------+-----------+----------------+------------------+---------------+---------------+--------------------+--------------------+------------------------+\n",
-            "| mean_error | median_error | max_error | min_error | mean_abs_error | median_abs_error | max_abs_error | min_abs_error | mean_squared_error | mean_percent_error | mean_abs_percent_error |\n",
-            "+------------+--------------+-----------+-----------+----------------+------------------+---------------+---------------+--------------------+--------------------+------------------------+\n",
-            "| -727.9929  | -727.9929    | -727.9929 | -727.9929 | 727.9929       | 727.9929         | 727.9929      | 727.9929      | 529973.7           | -0.24999964        | 0.24999964             |\n",
-            "+------------+--------------+-----------+-----------+----------------+------------------+---------------+---------------+--------------------+--------------------+------------------------+\n",
-            "\n",
-            "\n",
-            "INFO:ezkl.execute:file hash: 41509f380362a8d14401c5ae92073154922fe23e45459ce6f696f58607655db7\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "{\n",
-            "  \"run_args\": {\n",
-            "    \"tolerance\": {\n",
-            "      \"val\": 0.0,\n",
-            "      \"scale\": 1.0\n",
-            "    },\n",
-            "    \"input_scale\": 4,\n",
-            "    \"param_scale\": 4,\n",
-            "    \"scale_rebase_multiplier\": 10,\n",
-            "    \"lookup_range\": [\n",
-            "      0,\n",
-            "      0\n",
-            "    ],\n",
-            "    \"logrows\": 6,\n",
-            "    \"num_inner_cols\": 2,\n",
-            "    \"variables\": [\n",
-            "      [\n",
-            "        \"batch_size\",\n",
-            "        1\n",
-            "      ]\n",
-            "    ],\n",
-            "    \"input_visibility\": \"Private\",\n",
-            "    \"output_visibility\": \"Public\",\n",
-            "    \"param_visibility\": \"Private\",\n",
-            "    \"div_rebasing\": false,\n",
-            "    \"rebase_frac_zero_constants\": false,\n",
-            "    \"check_mode\": \"UNSAFE\",\n",
-            "    \"commitment\": \"KZG\"\n",
-            "  },\n",
-            "  \"num_rows\": 21,\n",
-            "  \"total_assignments\": 42,\n",
-            "  \"total_const_size\": 0,\n",
-            "  \"total_dynamic_col_size\": 0,\n",
-            "  \"num_dynamic_lookups\": 0,\n",
-            "  \"num_shuffles\": 0,\n",
-            "  \"total_shuffle_col_size\": 0,\n",
-            "  \"model_instance_shapes\": [\n",
-            "    [\n",
-            "      1\n",
-            "    ]\n",
-            "  ],\n",
-            "  \"model_output_scales\": [\n",
-            "    8\n",
-            "  ],\n",
-            "  \"model_input_scales\": [\n",
-            "    4\n",
-            "  ],\n",
-            "  \"module_sizes\": {\n",
-            "    \"polycommit\": [],\n",
-            "    \"poseidon\": [\n",
-            "      0,\n",
-            "      [\n",
-            "        0\n",
-            "      ]\n",
-            "    ]\n",
-            "  },\n",
-            "  \"required_lookups\": [],\n",
-            "  \"required_range_checks\": [],\n",
-            "  \"check_mode\": \"UNSAFE\",\n",
-            "  \"version\": \"0.0.0\",\n",
-            "  \"num_blinding_factors\": null,\n",
-            "  \"timestamp\": 1715422871248\n",
-            "}\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "# generate settings\n",
         "onnx_filename = os.path.join('lol.onnx')\n",
@@ -458,9 +236,9 @@
         "\n",
         "\n",
         "ezkl.gen_settings(onnx_filename, settings_filename)\n",
-        "await ezkl.calibrate_settings(\n",
+        "ezkl.calibrate_settings(\n",
         "    input_filename, onnx_filename, settings_filename, \"resources\", scales = [4])\n",
-        "res = await ezkl.get_srs(settings_filename)\n",
+        "res = ezkl.get_srs(settings_filename)\n",
         "ezkl.compile_circuit(onnx_filename, compiled_filename, settings_filename)\n",
         "\n",
         "# show the settings.json\n",
@@ -481,24 +259,7 @@
       "metadata": {
         "id": "fULvvnK7_CMb"
       },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "INFO:ezkl.pfsys.srs:loading srs from \"/Users/dante/.ezkl/srs/kzg6.srs\"\n",
-            "INFO:ezkl.execute:downsizing params to 6 logrows\n",
-            "INFO:ezkl.graph.model:model layout...\n",
-            "INFO:ezkl.pfsys:VK took 0.8\n",
-            "INFO:ezkl.graph.model:model layout...\n",
-            "INFO:ezkl.pfsys:PK took 0.2\n",
-            "INFO:ezkl.pfsys:saving verification key 💾\n",
-            "INFO:ezkl.pfsys:done saving verification key ✅\n",
-            "INFO:ezkl.pfsys:saving proving key 💾\n",
-            "INFO:ezkl.pfsys:done saving proving key ✅\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "pk_path = os.path.join('test.pk')\n",
         "vk_path = os.path.join('test.vk')\n",
@@ -520,20 +281,20 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 8,
+      "execution_count": null,
       "metadata": {},
       "outputs": [],
       "source": [
         "\n",
         "witness_path = \"witness.json\"\n",
         "\n",
-        "res = await ezkl.gen_witness(input_filename, compiled_filename, witness_path)\n",
+        "res = ezkl.gen_witness(input_filename, compiled_filename, witness_path)\n",
         "assert os.path.isfile(witness_path)"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 9,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -541,34 +302,7 @@
         "id": "Oog3j6Kd-Wed",
         "outputId": "5839d0c1-5b43-476e-c2f8-6707de562260"
       },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "INFO:ezkl.pfsys:loading proving key from \"test.pk\"\n",
-            "INFO:ezkl.pfsys:done loading proving key ✅\n",
-            "INFO:ezkl.pfsys.srs:loading srs from \"/Users/dante/.ezkl/srs/kzg6.srs\"\n",
-            "INFO:ezkl.execute:downsizing params to 6 logrows\n",
-            "INFO:ezkl.pfsys:proof started...\n",
-            "INFO:ezkl.graph.model:model layout...\n",
-            "INFO:ezkl.pfsys:proof took 0.15\n",
-            "INFO:ezkl.pfsys.srs:loading srs from \"/Users/dante/.ezkl/srs/kzg6.srs\"\n",
-            "INFO:ezkl.execute:downsizing params to 6 logrows\n",
-            "INFO:ezkl.pfsys:loading verification key from \"test.vk\"\n",
-            "INFO:ezkl.pfsys:done loading verification key ✅\n",
-            "INFO:ezkl.execute:verify took 0.2\n",
-            "INFO:ezkl.execute:verified: true\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "verified\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "# prove the zk circuit\n",
         "# GENERATE A PROOF\n",
@@ -617,7 +351,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 10,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -626,26 +360,7 @@
         "id": "fodkNgwS70FM",
         "outputId": "827b5efd-f74f-44de-c114-861b3a86daf2"
       },
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "INFO:ezkl.pfsys.srs:loading srs from \"/Users/dante/.ezkl/srs/kzg6.srs\"\n",
-            "INFO:ezkl.execute:downsizing params to 6 logrows\n",
-            "INFO:ezkl.pfsys:loading verification key from \"test.vk\"\n",
-            "INFO:ezkl.pfsys:done loading verification key ✅\n"
-          ]
-        },
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "test.vk\n",
-            "settings.json\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "# first we need to create evm verifier\n",
         "print(vk_path)\n",
@@ -655,7 +370,7 @@
         "abi_path = 'test.abi'\n",
         "sol_code_path = 'test.sol'\n",
         "\n",
-        "res = await ezkl.create_evm_verifier(\n",
+        "res = ezkl.create_evm_verifier(\n",
         "        vk_path,\n",
         "        settings_filename,\n",
         "        sol_code_path,\n",
@@ -666,18 +381,9 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 11,
+      "execution_count": null,
       "metadata": {},
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "INFO:ezkl.eth:using chain 31337\n",
-            "INFO:ezkl.execute:Contract deployed at: 0x998abeb3e57409262ae5b751f60747921b33613e\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "# Make sure anvil is running locally first\n",
         "# run with $ anvil -p 3030\n",
@@ -685,9 +391,8 @@
         "import json\n",
         "\n",
         "address_path = os.path.join(\"address.json\")\n",
-        "sol_code_path = 'test.sol'\n",
-        "# await\n",
-        "res = await ezkl.deploy_evm(\n",
+        "\n",
+        "res = ezkl.deploy_evm(\n",
         "    address_path,\n",
         "    sol_code_path,\n",
         "    'http://127.0.0.1:3030'\n",
@@ -701,26 +406,16 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 12,
+      "execution_count": null,
       "metadata": {},
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "INFO:ezkl.eth:using chain 31337\n",
-            "INFO:ezkl.eth:estimated verify gas cost: 399775\n",
-            "INFO:ezkl.execute:Solidity verification result: true\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "# read the address from addr_path\n",
         "addr = None\n",
         "with open(address_path, 'r') as f:\n",
         "    addr = f.read()\n",
         "\n",
-        "res = await ezkl.verify_evm(\n",
+        "res = ezkl.verify_evm(\n",
         "    addr,\n",
         "    proof_path,\n",
         "    \"http://127.0.0.1:3030\"\n",
@@ -756,7 +451,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.12.2"
+      "version": "3.9.15"
     }
   },
   "nbformat": 4,

examples/notebooks/applications/voice_judge.ipynb

@@ -629,7 +629,7 @@
             "source": [
                 "\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(val_data, model_path, settings_path, \"resources\", scales = [4])\n",
+                "res = ezkl.calibrate_settings(val_data, model_path, settings_path, \"resources\", scales = [4])\n",
                 "assert res == True\n",
                 "print(\"verified\")\n"
             ]
@@ -660,7 +660,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "res = await ezkl.get_srs(settings_path)"
+                "res = ezkl.get_srs(settings_path)"
             ]
         },
         {
@@ -680,7 +680,7 @@
                 "\n",
                 "witness_path = \"witness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -807,7 +807,7 @@
                 "settings_path = os.path.join('settings.json')\n",
                 "\n",
                 "\n",
-                "res = await ezkl.create_evm_verifier(\n",
+                "res = ezkl.create_evm_verifier(\n",
                 "        vk_path,\n",
                 "        \n",
                 "        settings_path,\n",
@@ -847,7 +847,7 @@
                 "\n",
                 "address_path = os.path.join(\"address.json\")\n",
                 "\n",
-                "res = await ezkl.deploy_evm(\n",
+                "res = ezkl.deploy_evm(\n",
                 "    address_path,\n",
                 "    sol_code_path,\n",
                 "    'http://127.0.0.1:3030'\n",
@@ -868,7 +868,7 @@
                 "# make sure anvil is running locally\n",
                 "# $ anvil -p 3030\n",
                 "\n",
-                "res = await ezkl.verify_evm(\n",
+                "res = ezkl.verify_evm(\n",
                 "    addr,\n",
                 "    proof_path,\n",
                 "    \"http://127.0.0.1:3030\"\n",
@@ -905,4 +905,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 2
-}
+}

examples/notebooks/applications/world_rotation.ipynb

@@ -242,7 +242,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2007dc77",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -258,7 +257,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ab993958",
    "metadata": {},
    "source": [
     "As we use Halo2 with KZG-commitments we need an SRS string from (preferably) a multi-party trusted setup ceremony. For an overview of the procedures for such a ceremony check out [this page](https://blog.ethereum.org/2023/01/16/announcing-kzg-ceremony). The `get_srs` command retrieves a correctly sized SRS given the calibrated settings file from [here](https://github.com/han0110/halo2-kzg-srs). \n",
@@ -274,7 +272,7 @@
    "outputs": [],
    "source": [
     "# srs path\n",
-    "res = await ezkl.get_srs( settings_path)"
+    "res = ezkl.get_srs( settings_path)"
    ]
   },
   {
@@ -286,13 +284,12 @@
    "source": [
     "# now generate the witness file \n",
     "\n",
-    "witness = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+    "witness = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
     "assert os.path.isfile(witness_path)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "ad58432e",
    "metadata": {},
    "source": [
     "Here we setup verifying and proving keys for the circuit. As the name suggests the proving key is needed for ... proving and the verifying key is needed for ... verifying. "
@@ -320,7 +317,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1746c8d1",
    "metadata": {},
    "source": [
     "We can now create an EVM verifier contract from our circuit. This contract will be deployed to the chain we are using. In this case we are using a local anvil instance."
@@ -329,15 +325,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d1920c0f",
    "metadata": {},
    "outputs": [],
    "source": [
     "abi_path = 'test.abi'\n",
     "sol_code_path = 'test.sol'\n",
     "\n",
-    "res = await ezkl.create_evm_verifier(\n",
+    "res = ezkl.create_evm_verifier(\n",
     "        vk_path,\n",
+    "        \n",
     "        settings_path,\n",
     "        sol_code_path,\n",
     "        abi_path,\n",
@@ -348,7 +344,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0fd7f22b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -356,7 +351,7 @@
     "\n",
     "addr_path_verifier = \"addr_verifier.txt\"\n",
     "\n",
-    "res = await ezkl.deploy_evm(\n",
+    "res = ezkl.deploy_evm(\n",
     "    addr_path_verifier,\n",
     "    sol_code_path,\n",
     "    'http://127.0.0.1:3030'\n",
@@ -367,7 +362,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9c0dffab",
    "metadata": {},
    "source": [
     "With the vanilla verifier deployed, we can now create the data attestation contract, which will read in the instances from the calldata to the verifier, attest to them, call the verifier and then return the result. \n",
@@ -377,7 +371,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "cc888848",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -385,7 +378,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c2db14d7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -393,7 +385,7 @@
     "sol_code_path = 'test.sol'\n",
     "input_path = 'input.json'\n",
     "\n",
-    "res = await ezkl.create_evm_data_attestation(\n",
+    "res = ezkl.create_evm_data_attestation(\n",
     "        input_path,\n",
     "        settings_path,\n",
     "        sol_code_path,\n",
@@ -404,13 +396,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5a018ba6",
    "metadata": {},
    "outputs": [],
    "source": [
     "addr_path_da = \"addr_da.txt\"\n",
     "\n",
-    "res = await ezkl.deploy_da_evm(\n",
+    "res = ezkl.deploy_da_evm(\n",
     "        addr_path_da,\n",
     "        input_path,\n",
     "        settings_path,\n",
@@ -421,7 +412,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2adad845",
    "metadata": {},
    "source": [
     "Now we can pull in the data from the contract and calculate a new set of coordinates. We then rotate the world by 1 transform and submit the proof to the contract. The contract could then update the world rotation (logic not inserted here). For demo purposes we do this repeatedly, rotating the world by 1 transform. "
@@ -454,7 +444,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "90eda56e",
    "metadata": {},
    "source": [
     "Call the view only verify method on the contract to verify the proof. Since it is a view function this is safe to use in production since you don't have to pass your private key."
@@ -514,11 +503,11 @@
     "pyplot.arrow(0, 0, 1, 0, width=0.02, alpha=0.5)\n",
     "pyplot.arrow(0, 0, 0, 1, width=0.02, alpha=0.5)\n",
     "\n",
-    "arrow_x = ezkl.felt_to_float(witness['outputs'][0][0], out_scale)\n",
-    "arrow_y = ezkl.felt_to_float(witness['outputs'][0][1], out_scale)\n",
+    "arrow_x = ezkl.string_to_float(witness['outputs'][0][0], out_scale)\n",
+    "arrow_y = ezkl.string_to_float(witness['outputs'][0][1], out_scale)\n",
     "pyplot.arrow(0, 0, arrow_x, arrow_y, width=0.02)\n",
-    "arrow_x = ezkl.felt_to_float(witness['outputs'][0][2], out_scale)\n",
-    "arrow_y = ezkl.felt_to_float(witness['outputs'][0][3], out_scale)\n",
+    "arrow_x = ezkl.string_to_float(witness['outputs'][0][2], out_scale)\n",
+    "arrow_y = ezkl.string_to_float(witness['outputs'][0][3], out_scale)\n",
     "pyplot.arrow(0, 0, arrow_x, arrow_y, width=0.02)"
    ]
   }
@@ -539,7 +528,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.9.15"
   }
  },
  "nbformat": 4,

examples/notebooks/data_attest_kzg_vis.ipynb

@@ -1,604 +0,0 @@
-{
-    "cells": [
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# data-attest-kzg-vis\n",
-                "\n",
-                "Here's an example leveraging EZKL whereby the inputs to the model are read and attested to from an on-chain source and the params and outputs are committed to using kzg-commitments. \n",
-                "\n",
-                "In this setup:\n",
-                "- the inputs and outputs are publicly known to the prover and verifier\n",
-                "- the on chain inputs will be fetched and then fed directly into the circuit\n",
-                "- the quantization of the on-chain inputs happens within the evm and is replicated at proving time \n",
-                "- The kzg commitment to the params and inputs will be read from the proof and checked to make sure it matches the expected commitment stored on-chain.\n"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "First we import the necessary dependencies and set up logging to be as informative as possible. "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# check if notebook is in colab\n",
-                "try:\n",
-                "    # install ezkl\n",
-                "    import google.colab\n",
-                "    import subprocess\n",
-                "    import sys\n",
-                "    subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"ezkl\"])\n",
-                "    subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", \"onnx\"])\n",
-                "\n",
-                "# rely on local installation of ezkl if the notebook is not in colab\n",
-                "except:\n",
-                "    pass\n",
-                "\n",
-                "\n",
-                "from torch import nn\n",
-                "import ezkl\n",
-                "import os\n",
-                "import json\n",
-                "import logging\n",
-                "\n",
-                "# uncomment for more descriptive logging \n",
-                "FORMAT = '%(levelname)s %(name)s %(asctime)-15s %(filename)s:%(lineno)d %(message)s'\n",
-                "logging.basicConfig(format=FORMAT)\n",
-                "logging.getLogger().setLevel(logging.DEBUG)\n"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Now we define our model. It is a very simple PyTorch model that has just one layer, an average pooling 2D layer. "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "import torch\n",
-                "# Defines the model\n",
-                "\n",
-                "class MyModel(nn.Module):\n",
-                "    def __init__(self):\n",
-                "        super(MyModel, self).__init__()\n",
-                "        self.layer = nn.AvgPool2d(2, 1, (1, 1))\n",
-                "\n",
-                "    def forward(self, x):\n",
-                "        return self.layer(x)[0]\n",
-                "\n",
-                "\n",
-                "circuit = MyModel()\n",
-                "\n",
-                "# this is where you'd train your model"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "We omit training for purposes of this demonstration. We've marked where training would happen in the cell above. \n",
-                "Now we export the model to onnx and create a corresponding (randomly generated) input. This input data will eventually be stored on chain and read from according to the call_data field in the graph input.\n",
-                "\n",
-                "You can replace the random `x` with real data if you so wish. "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "x = 0.1*torch.rand(1,*[3, 2, 2], requires_grad=True)\n",
-                "\n",
-                "# Flips the neural net into inference mode\n",
-                "circuit.eval()\n",
-                "\n",
-                "    # Export the model\n",
-                "torch.onnx.export(circuit,               # model being run\n",
-                "                      x,                   # model input (or a tuple for multiple inputs)\n",
-                "                      \"network.onnx\",            # where to save the model (can be a file or file-like object)\n",
-                "                      export_params=True,        # store the trained parameter weights inside the model file\n",
-                "                      opset_version=10,          # the ONNX version to export the model to\n",
-                "                      do_constant_folding=True,  # whether to execute constant folding for optimization\n",
-                "                      input_names = ['input'],   # the model's input names\n",
-                "                      output_names = ['output'], # the model's output names\n",
-                "                      dynamic_axes={'input' : {0 : 'batch_size'},    # variable length axes\n",
-                "                                    'output' : {0 : 'batch_size'}})\n",
-                "\n",
-                "data_array = ((x).detach().numpy()).reshape([-1]).tolist()\n",
-                "\n",
-                "data = dict(input_data = [data_array])\n",
-                "\n",
-                "    # Serialize data into file:\n",
-                "json.dump(data, open(\"input.json\", 'w' ))\n",
-                "\n"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "We now define a function that will create a new anvil instance which we will deploy our test contract too. This contract will contain in its storage the data that we will read from and attest to. In production you would not need to set up a local anvil instance. Instead you would replace RPC_URL with the actual RPC endpoint of the chain you are deploying your verifiers too, reading from the data on said chain."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "import subprocess\n",
-                "import time\n",
-                "import threading\n",
-                "\n",
-                "# make sure anvil is running locally\n",
-                "# $ anvil -p 3030\n",
-                "\n",
-                "RPC_URL = \"http://localhost:3030\"\n",
-                "\n",
-                "# Save process globally\n",
-                "anvil_process = None\n",
-                "\n",
-                "def start_anvil():\n",
-                "    global anvil_process\n",
-                "    if anvil_process is None:\n",
-                "        anvil_process = subprocess.Popen([\"anvil\", \"-p\", \"3030\", \"--code-size-limit=41943040\"])\n",
-                "        if anvil_process.returncode is not None:\n",
-                "            raise Exception(\"failed to start anvil process\")\n",
-                "        time.sleep(3)\n",
-                "\n",
-                "def stop_anvil():\n",
-                "    global anvil_process\n",
-                "    if anvil_process is not None:\n",
-                "        anvil_process.terminate()\n",
-                "        anvil_process = None\n"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "We define our `PyRunArgs` objects which contains the visibility parameters for out model. \n",
-                "- `input_visibility` defines the visibility of the model inputs\n",
-                "- `param_visibility` defines the visibility of the model weights and constants and parameters \n",
-                "- `output_visibility` defines the visibility of the model outputs\n",
-                "\n",
-                "Here we create the following setup:\n",
-                "- `input_visibility`: \"public\"\n",
-                "- `param_visibility`: \"polycommitment\" \n",
-                "- `output_visibility`: \"polycommitment\"\n",
-                "\n",
-                "**Note**:\n",
-                "When we set this to polycommitment, we are saying that the model parameters are committed to using a polynomial commitment scheme. This commitment will be stored on chain as a constant stored in the DA contract, and the proof will contain the commitment to the parameters. The DA verification will then check that the commitment in the proof matches the commitment stored on chain. \n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "import ezkl\n",
-                "\n",
-                "model_path = os.path.join('network.onnx')\n",
-                "compiled_model_path = os.path.join('network.compiled')\n",
-                "pk_path = os.path.join('test.pk')\n",
-                "vk_path = os.path.join('test.vk')\n",
-                "settings_path = os.path.join('settings.json')\n",
-                "srs_path = os.path.join('kzg.srs')\n",
-                "data_path = os.path.join('input.json')\n",
-                "\n",
-                "run_args = ezkl.PyRunArgs()\n",
-                "run_args.input_visibility = \"public\"\n",
-                "run_args.param_visibility = \"polycommit\"\n",
-                "run_args.output_visibility = \"polycommit\"\n",
-                "run_args.num_inner_cols = 1\n",
-                "run_args.variables = [(\"batch_size\", 1)]\n",
-                "\n",
-                "\n",
-                "\n"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Now we generate a settings file. This file basically instantiates a bunch of parameters that determine their circuit shape, size etc... Because of the way we represent nonlinearities in the circuit (using Halo2's [lookup tables](https://zcash.github.io/halo2/design/proving-system/lookup.html)), it is often best to _calibrate_ this settings file as some data can fall out of range of these lookups.\n",
-                "\n",
-                "You can pass a dataset for calibration that will be representative of real inputs you might find if and when you deploy the prover. Here we create a dummy calibration dataset for demonstration purposes. "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "!RUST_LOG=trace\n",
-                "# TODO: Dictionary outputs\n",
-                "res = ezkl.gen_settings(model_path, settings_path, py_run_args=run_args)\n",
-                "assert res == True"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# generate a bunch of dummy calibration data\n",
-                "cal_data = {\n",
-                "    \"input_data\": [(0.1*torch.rand(2, *[3, 2, 2])).flatten().tolist()],\n",
-                "}\n",
-                "\n",
-                "cal_path = os.path.join('val_data.json')\n",
-                "# save as json file\n",
-                "with open(cal_path, \"w\") as f:\n",
-                "    json.dump(cal_data, f)\n",
-                "\n",
-                "res = await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "res = ezkl.compile_circuit(model_path, compiled_model_path, settings_path)\n",
-                "assert res == True"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "The graph input for on chain data sources is formatted completely differently compared to file based data sources.\n",
-                "\n",
-                "- For file data sources, the raw floating point values that eventually get quantized, converted into field elements and stored in `witness.json` to be consumed by the circuit are stored. The output data contains the expected floating point values returned as outputs from running your vanilla pytorch model on the given inputs.\n",
-                "- For on chain data sources, the input_data field contains all the data necessary to read and format the on chain data into something digestable by EZKL (aka field elements :-D). \n",
-                "Here is what the schema for an on-chain data source graph input file should look like:\n",
-                "    \n",
-                "```json\n",
-                "{\n",
-                "  \"input_data\": {\n",
-                "    \"rpc\": \"http://localhost:3030\", // The rpc endpoint of the chain you are deploying your verifier to\n",
-                "    \"calls\": [\n",
-                "      {\n",
-                "        \"call_data\": [\n",
-                "          [\n",
-                "            \"71e5ee5f0000000000000000000000000000000000000000000000000000000000000000\", // The abi encoded call data to a view function that returns a single on-chain data point (we only support uint256 returns for now)\n",
-                "            7 // The number of decimal places of the large uint256 value. This is our way of representing large wei values as floating points on chain, since the evm only natively supports integer values.\n",
-                "          ],\n",
-                "          [\n",
-                "            \"71e5ee5f0000000000000000000000000000000000000000000000000000000000000001\",\n",
-                "            5\n",
-                "          ],\n",
-                "          [\n",
-                "            \"71e5ee5f0000000000000000000000000000000000000000000000000000000000000002\",\n",
-                "            5\n",
-                "          ]\n",
-                "        ],\n",
-                "        \"address\": \"5fbdb2315678afecb367f032d93f642f64180aa3\" // The address of the contract that we are calling to get the data. \n",
-                "      }\n",
-                "    ]\n",
-                "  }\n",
-                "}"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "await ezkl.setup_test_evm_witness(\n",
-                "    data_path,\n",
-                "    compiled_model_path,\n",
-                "    # we write the call data to the same file as the input data\n",
-                "    data_path,\n",
-                "    input_source=ezkl.PyTestDataSource.OnChain,\n",
-                "    output_source=ezkl.PyTestDataSource.File,\n",
-                "    rpc_url=RPC_URL)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "As we use Halo2 with KZG-commitments we need an SRS string from (preferably) a multi-party trusted setup ceremony. For an overview of the procedures for such a ceremony check out [this page](https://blog.ethereum.org/2023/01/16/announcing-kzg-ceremony). The `get_srs` command retrieves a correctly sized SRS given the calibrated settings file from [here](https://github.com/han0110/halo2-kzg-srs). \n",
-                "\n",
-                "These SRS were generated with [this](https://github.com/privacy-scaling-explorations/perpetualpowersoftau) ceremony. "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "res = await ezkl.get_srs( settings_path)\n"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "We now need to generate the circuit witness. These are the model outputs (and any hashes) that are generated when feeding the previously generated `input.json` through the circuit / model. "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "!export RUST_BACKTRACE=1\n",
-                "\n",
-                "witness_path = \"witness.json\"\n",
-                "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path, vk_path)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Here we setup verifying and proving keys for the circuit. As the name suggests the proving key is needed for ... proving and the verifying key is needed for ... verifying. "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# HERE WE SETUP THE CIRCUIT PARAMS\n",
-                "# WE GOT KEYS\n",
-                "# WE GOT CIRCUIT PARAMETERS\n",
-                "# EVERYTHING ANYONE HAS EVER NEEDED FOR ZK\n",
-                "res = ezkl.setup(\n",
-                "        compiled_model_path,\n",
-                "        vk_path,\n",
-                "        pk_path,\n",
-                "    )\n",
-                "\n",
-                "assert res == True\n",
-                "assert os.path.isfile(vk_path)\n",
-                "assert os.path.isfile(pk_path)\n",
-                "assert os.path.isfile(settings_path)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Now we generate a full proof. "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# GENERATE A PROOF\n",
-                "\n",
-                "proof_path = os.path.join('test.pf')\n",
-                "\n",
-                "res = ezkl.prove(\n",
-                "        witness_path,\n",
-                "        compiled_model_path,\n",
-                "        pk_path,\n",
-                "        proof_path,\n",
-                "        \n",
-                "        \"single\",\n",
-                "    )\n",
-                "\n",
-                "print(res)\n",
-                "assert os.path.isfile(proof_path)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "And verify it as a sanity check. "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# VERIFY IT\n",
-                "\n",
-                "res = ezkl.verify(\n",
-                "        proof_path,\n",
-                "        settings_path,\n",
-                "        vk_path,\n",
-                "        \n",
-                "    )\n",
-                "\n",
-                "assert res == True\n",
-                "print(\"verified\")"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "We can now create and then deploy a vanilla evm verifier."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "abi_path = 'test.abi'\n",
-                "sol_code_path = 'test.sol'\n",
-                "\n",
-                "res = await ezkl.create_evm_verifier(\n",
-                "        vk_path,\n",
-                "        \n",
-                "        settings_path,\n",
-                "        sol_code_path,\n",
-                "        abi_path,\n",
-                "    )\n",
-                "assert res == True"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "\n",
-                "addr_path_verifier = \"addr_verifier.txt\"\n",
-                "\n",
-                "res = await ezkl.deploy_evm(\n",
-                "    addr_path_verifier,\n",
-                "    sol_code_path,\n",
-                "    'http://127.0.0.1:3030'\n",
-                ")\n",
-                "\n",
-                "assert res == True"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "When deploying a DA with kzg commitments, we need to make sure to also pass a witness file that contains the commitments to the parameters and inputs. This is because the verifier will need to check that the commitments in the proof match the commitments stored on chain."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "\n",
-                "abi_path = 'test.abi'\n",
-                "sol_code_path = 'test.sol'\n",
-                "input_path = 'input.json'\n",
-                "\n",
-                "res = await ezkl.create_evm_data_attestation(\n",
-                "        input_path,\n",
-                "        settings_path,\n",
-                "        sol_code_path,\n",
-                "        abi_path,\n",
-                "        witness_path = witness_path,\n",
-                "    )"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Now we can deploy the data attest verifier contract. For security reasons, this binding will only deploy to a local anvil instance, using accounts generated by anvil. \n",
-                "So should only be used for testing purposes."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "addr_path_da = \"addr_da.txt\"\n",
-                "\n",
-                "res = await ezkl.deploy_da_evm(\n",
-                "        addr_path_da,\n",
-                "        input_path,\n",
-                "        settings_path,\n",
-                "        sol_code_path,\n",
-                "        RPC_URL,\n",
-                "    )\n"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Call the view only verify method on the contract to verify the proof. Since it is a view function this is safe to use in production since you don't have to pass your private key."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# read the verifier address\n",
-                "addr_verifier = None\n",
-                "with open(addr_path_verifier, 'r') as f:\n",
-                "    addr = f.read()\n",
-                "#read the data attestation address\n",
-                "addr_da = None\n",
-                "with open(addr_path_da, 'r') as f:\n",
-                "    addr_da = f.read()\n",
-                "\n",
-                "res = await ezkl.verify_evm(\n",
-                "    addr,\n",
-                "    proof_path,\n",
-                "    RPC_URL,\n",
-                "    addr_da,\n",
-                ")"
-            ]
-        }
-    ],
-    "metadata": {
-        "kernelspec": {
-            "display_name": "ezkl",
-            "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": "3.9.13"
-        },
-        "orig_nbformat": 4
-    },
-    "nbformat": 4,
-    "nbformat_minor": 2
-}

examples/notebooks/data_science/generalized_inverse.ipynb

@@ -10,7 +10,7 @@
         "\n",
         "## Generalized Inverse\n",
         "\n",
-        "We show how to use EZKL to prove that we know matrices $A$ and its generalized inverse $B$. Since these are large we deal with the KZG commitments, with $a$ the polycommit of $A$, $b$ the polycommit of $B$, and $ABA = A$.\n"
+        "We show how to use EZKL to prove that we know matrices $A$ and its generalized inverse $B$. Since these are large we deal with the KZG commitments, with $a$ the kzgcommit of $A$, $b$ the kzgcommit of $B$, and $ABA = A$.\n"
       ]
     },
     {
@@ -77,7 +77,7 @@
       "outputs": [],
       "source": [
         "gip_run_args = ezkl.PyRunArgs()\n",
-        "gip_run_args.input_visibility = \"polycommit\"  # matrix and generalized inverse commitments\n",
+        "gip_run_args.input_visibility = \"kzgcommit\"  # matrix and generalized inverse commitments\n",
         "gip_run_args.output_visibility = \"fixed\"   # no parameters used\n",
         "gip_run_args.param_visibility = \"fixed\" # should be Tensor(True)"
       ]
@@ -195,7 +195,7 @@
         "json.dump(data, open(cal_path, 'w'))\n",
         "\n",
         "\n",
-        "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
+        "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
         "assert res == True\n"
       ]
     },
@@ -222,7 +222,7 @@
       "outputs": [],
       "source": [
         "# srs path\n",
-        "res = await ezkl.get_srs( settings_path)"
+        "res = ezkl.get_srs( settings_path)"
       ]
     },
     {
@@ -236,7 +236,7 @@
       "source": [
         "# now generate the witness file\n",
         "\n",
-        "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+        "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
         "assert os.path.isfile(witness_path)"
       ]
     },
@@ -340,4 +340,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 5
-}
+}

examples/notebooks/data_science/hashed_vis.ipynb

@@ -161,7 +161,7 @@
                 "- `fixed`: known to the prover and verifier (as a commit), but not modifiable by the prover.\n",
                 "- `hashed`: the hash pre-image is known to the prover, the prover and verifier know the hash. The prover proves that the they know the pre-image to the hash. \n",
                 "- `encrypted`: the non-encrypted element and the secret key used for decryption are known to the prover. The prover and the verifier know the encrypted element, the public key used to encrypt, and the hash of the decryption hey. The prover proves that they know the pre-image of the hashed decryption key and that this key can in fact decrypt the encrypted message.\n",
-                "- `polycommit`: unblinded advice column which generates a kzg commitment. This doesn't appear in the instances of the circuit and must instead be inserted directly within the proof bytes.  \n",
+                "- `kzgcommit`: unblinded advice column which generates a kzg commitment. This doesn't appear in the instances of the circuit and must instead be inserted directly within the proof bytes.  \n",
                 "\n",
                 "\n",
                 "Here we create the following setup:\n",
@@ -241,7 +241,7 @@
                 "with open(cal_path, \"w\") as f:\n",
                 "    json.dump(cal_data, f)\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "res = ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -270,7 +270,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "res = await ezkl.get_srs( settings_path)\n"
+                "res = ezkl.get_srs( settings_path)\n"
             ]
         },
         {
@@ -291,7 +291,7 @@
                 "\n",
                 "witness_path = \"witness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)"
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)"
             ]
         },
         {
@@ -420,7 +420,7 @@
                 "abi_path = 'test.abi'\n",
                 "sol_code_path = 'test.sol'\n",
                 "\n",
-                "res = await ezkl.create_evm_verifier(\n",
+                "res = ezkl.create_evm_verifier(\n",
                 "        vk_path,\n",
                 "        \n",
                 "        settings_path,\n",
@@ -451,7 +451,7 @@
                 "\n",
                 "address_path = os.path.join(\"address.json\")\n",
                 "\n",
-                "res = await ezkl.deploy_evm(\n",
+                "res = ezkl.deploy_evm(\n",
                 "    address_path,\n",
                 "    sol_code_path,\n",
                 "    'http://127.0.0.1:3030'\n",
@@ -472,7 +472,7 @@
                 "# make sure anvil is running locally\n",
                 "# $ anvil -p 3030\n",
                 "\n",
-                "res = await ezkl.verify_evm(\n",
+                "res = ezkl.verify_evm(\n",
                 "    addr,\n",
                 "    proof_path,\n",
                 "    \"http://127.0.0.1:3030\"\n",
@@ -510,4 +510,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 2
-}
+}

examples/notebooks/data_science/kmeans.ipynb

@@ -155,7 +155,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
+                "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
                 "assert res == True\n"
             ]
         },
@@ -178,7 +178,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -190,7 +190,7 @@
             "source": [
                 "# now generate the witness file \n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -289,4 +289,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 5
-}
+}

examples/notebooks/data_science/kzg_vis.ipynb

@@ -154,11 +154,11 @@
                 "- `fixed`: known to the prover and verifier (as a commit), but not modifiable by the prover.\n",
                 "- `hashed`: the hash pre-image is known to the prover, the prover and verifier know the hash. The prover proves that the they know the pre-image to the hash. \n",
                 "- `encrypted`: the non-encrypted element and the secret key used for decryption are known to the prover. The prover and the verifier know the encrypted element, the public key used to encrypt, and the hash of the decryption hey. The prover proves that they know the pre-image of the hashed decryption key and that this key can in fact decrypt the encrypted message.\n",
-                "- `polycommit`: unblinded advice column which generates a kzg commitment. This doesn't appear in the instances of the circuit and must instead be modified directly within the proof bytes.  \n",
+                "- `kzgcommit`: unblinded advice column which generates a kzg commitment. This doesn't appear in the instances of the circuit and must instead be modified directly within the proof bytes.  \n",
                 "\n",
                 "Here we create the following setup:\n",
-                "- `input_visibility`: \"polycommit\"\n",
-                "- `param_visibility`: \"polycommit\"\n",
+                "- `input_visibility`: \"kzgcommit\"\n",
+                "- `param_visibility`: \"kzgcommit\"\n",
                 "- `output_visibility`: public\n",
                 "\n",
                 "We encourage you to play around with other setups :) \n",
@@ -186,8 +186,8 @@
                 "data_path = os.path.join('input.json')\n",
                 "\n",
                 "run_args = ezkl.PyRunArgs()\n",
-                "run_args.input_visibility = \"polycommit\"\n",
-                "run_args.param_visibility = \"polycommit\"\n",
+                "run_args.input_visibility = \"kzgcommit\"\n",
+                "run_args.param_visibility = \"kzgcommit\"\n",
                 "run_args.output_visibility = \"public\"\n",
                 "run_args.variables = [(\"batch_size\", 1)]\n",
                 "\n",
@@ -233,7 +233,7 @@
                 "with open(cal_path, \"w\") as f:\n",
                 "    json.dump(cal_data, f)\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "res = ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -262,7 +262,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "res = await ezkl.get_srs( settings_path)\n"
+                "res = ezkl.get_srs( settings_path)\n"
             ]
         },
         {
@@ -315,7 +315,7 @@
                 "\n",
                 "witness_path = \"witness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path, vk_path)\n"
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path, vk_path)\n"
             ]
         },
         {
@@ -429,7 +429,7 @@
                 "abi_path = 'test.abi'\n",
                 "sol_code_path = 'test.sol'\n",
                 "\n",
-                "res = await ezkl.create_evm_verifier(\n",
+                "res = ezkl.create_evm_verifier(\n",
                 "        vk_path,\n",
                 "        \n",
                 "        settings_path,\n",
@@ -460,7 +460,7 @@
                 "\n",
                 "address_path = os.path.join(\"address.json\")\n",
                 "\n",
-                "res = await ezkl.deploy_evm(\n",
+                "res = ezkl.deploy_evm(\n",
                 "    address_path,\n",
                 "    sol_code_path,\n",
                 "    'http://127.0.0.1:3030'\n",
@@ -481,7 +481,7 @@
                 "# make sure anvil is running locally\n",
                 "# $ anvil -p 3030\n",
                 "\n",
-                "res = await ezkl.verify_evm(\n",
+                "res = ezkl.verify_evm(\n",
                 "    addr,\n",
                 "    proof_path,\n",
                 "    \"http://127.0.0.1:3030\"\n",
@@ -512,4 +512,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 2
-}
+}

examples/notebooks/data_science/linear_regression.ipynb

@@ -5,11 +5,11 @@
             "id": "cf69bb3f-94e6-4dba-92cd-ce08df117d67",
             "metadata": {},
             "source": [
-                "## Logistic Regression\n",
+                "## Linear Regression\n",
                 "\n",
                 "\n",
                 "Sklearn based models are slightly finicky to get into a suitable onnx format. \n",
-                "This notebook showcases how to do so using the `hummingbird-ml` python package for a Logistic Regression model. "
+                "This notebook showcases how to do so using the `hummingbird-ml` python package ! "
             ]
         },
         {
@@ -44,11 +44,11 @@
                 "\n",
                 "# make sure you have the dependencies required here already installed\n",
                 "import numpy as np\n",
-                "from sklearn.linear_model import LogisticRegression\n",
+                "from sklearn.linear_model import LinearRegression\n",
                 "X = np.array([[1, 1], [1, 2], [2, 2], [2, 3]])\n",
                 "# y = 1 * x_0 + 2 * x_1 + 3\n",
                 "y = np.dot(X, np.array([1, 2])) + 3\n",
-                "reg = LogisticRegression().fit(X, y)\n",
+                "reg = LinearRegression().fit(X, y)\n",
                 "reg.score(X, y)\n",
                 "\n",
                 "circuit = convert(reg, \"torch\", X[:1]).model\n",
@@ -142,7 +142,7 @@
                 "# Serialize data into file:\n",
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
+                "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
                 "assert res == True\n"
             ]
         },
@@ -165,7 +165,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -177,7 +177,7 @@
             "source": [
                 "# now generate the witness file \n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -271,7 +271,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.7"
+            "version": "3.9.15"
         }
     },
     "nbformat": 4,

examples/notebooks/data_science/set_membership.ipynb

@@ -122,8 +122,8 @@
         "# Loop through each element in the y tensor\n",
         "for e in y_input:\n",
         "    # Apply the custom function and append the result to the list\n",
-        "    print(ezkl.float_to_felt(e,7))\n",
-        "    result.append(ezkl.poseidon_hash([ezkl.float_to_felt(e, 7)])[0])\n",
+        "    print(ezkl.float_to_string(e,7))\n",
+        "    result.append(ezkl.poseidon_hash([ezkl.float_to_string(e, 7)])[0])\n",
         "\n",
         "y = y.unsqueeze(0)\n",
         "y = y.reshape(1, 9)\n",
@@ -215,7 +215,7 @@
       "outputs": [],
       "source": [
         "# srs path\n",
-        "res = await ezkl.get_srs( settings_path)"
+        "res = ezkl.get_srs( settings_path)"
       ]
     },
     {
@@ -229,7 +229,7 @@
       "source": [
         "# now generate the witness file\n",
         "\n",
-        "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+        "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
         "assert os.path.isfile(witness_path)"
       ]
     },
@@ -265,7 +265,7 @@
         "    # Serialize data into file:\n",
         "json.dump( data, open(data_path_faulty, 'w' ))\n",
         "\n",
-        "res = await ezkl.gen_witness(data_path_faulty, compiled_model_path, witness_path_faulty)\n",
+        "res = ezkl.gen_witness(data_path_faulty, compiled_model_path, witness_path_faulty)\n",
         "assert os.path.isfile(witness_path_faulty)"
       ]
     },
@@ -310,7 +310,7 @@
         "# Serialize data into file:\n",
         "json.dump( data, open(data_path_truthy, 'w' ))\n",
         "\n",
-        "res = await ezkl.gen_witness(data_path_truthy, compiled_model_path, witness_path_truthy)\n",
+        "res = ezkl.gen_witness(data_path_truthy, compiled_model_path, witness_path_truthy)\n",
         "assert os.path.isfile(witness_path_truthy)"
       ]
     },
@@ -482,7 +482,7 @@
       "source": [
         "import pytest\n",
         "def test_verification():\n",
-        "    with pytest.raises(RuntimeError, match='Failed to run verify: \\\\[halo2\\\\] The constraint system is not satisfied'):\n",
+        "    with pytest.raises(RuntimeError, match='Failed to run verify: The constraint system is not satisfied'):\n",
         "        ezkl.verify(\n",
         "            proof_path_faulty,\n",
         "            settings_path,\n",
@@ -514,7 +514,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.12.3"
+      "version": "3.9.15"
     }
   },
   "nbformat": 4,

examples/notebooks/data_science/stacked_regression.ipynb

@@ -167,7 +167,7 @@
                 "res = ezkl.gen_settings(model_path, settings_path)\n",
                 "assert res == True\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
+                "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
                 "assert res == True"
             ]
         },
@@ -187,7 +187,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -209,7 +209,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -221,7 +221,7 @@
             "source": [
                 "# now generate the witness file \n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -320,4 +320,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 5
-}
+}

examples/notebooks/data_science/svm.ipynb

@@ -39,7 +39,7 @@
                 "import json\n",
                 "import numpy as np\n",
                 "from sklearn.svm import SVC\n",
-                "from hummingbird.ml import convert\n",
+                "import sk2torch\n",
                 "import torch\n",
                 "import ezkl\n",
                 "import os\n",
@@ -59,11 +59,11 @@
                 "# Train an SVM on the data and wrap it in PyTorch.\n",
                 "sk_model = SVC(probability=True)\n",
                 "sk_model.fit(xs, ys)\n",
-                "model = convert(sk_model, \"torch\").model\n",
+                "model = sk2torch.wrap(sk_model)\n",
+                "\n",
                 "\n",
                 "\n",
                 "\n",
-                "model\n",
                 "\n"
             ]
         },
@@ -84,6 +84,33 @@
                 "data_path = os.path.join('input.json')"
             ]
         },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "id": "7f0ca328",
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "import matplotlib.pyplot as plt\n",
+                "# Create a coordinate grid to compute a vector field on.\n",
+                "spaced = np.linspace(-2, 2, num=25)\n",
+                "grid_xs = torch.tensor([[x, y] for x in spaced for y in spaced], requires_grad=True)\n",
+                "\n",
+                "\n",
+                "# Compute the gradients of the SVM output.\n",
+                "outputs = model.predict_proba(grid_xs)[:, 1]\n",
+                "(input_grads,) = torch.autograd.grad(outputs.sum(), (grid_xs,))\n",
+                "\n",
+                "\n",
+                "# Create a quiver plot of the vector field.\n",
+                "plt.quiver(\n",
+                "    grid_xs[:, 0].detach().numpy(),\n",
+                "    grid_xs[:, 1].detach().numpy(),\n",
+                "    input_grads[:, 0].detach().numpy(),\n",
+                "    input_grads[:, 1].detach().numpy(),\n",
+                ")\n"
+            ]
+        },
         {
             "cell_type": "code",
             "execution_count": null,
@@ -92,14 +119,14 @@
             "outputs": [],
             "source": [
                 "\n",
-                "spaced = np.linspace(-2, 2, num=25)\n",
-                "grid_xs = torch.tensor([[x, y] for x in spaced for y in spaced], requires_grad=True)\n",
+                "\n",
                 "# export to onnx format\n",
                 "# !!!!!!!!!!!!!!!!! This will flash a warning but it is fine !!!!!!!!!!!!!!!!!!!!!\n",
                 "\n",
                 "# Input to the model\n",
                 "shape = xs.shape[1:]\n",
                 "x = grid_xs[0:1]\n",
+                "torch_out = model.predict(x)\n",
                 "# Export the model\n",
                 "torch.onnx.export(model,               # model being run\n",
                 "                  # model input (or a tuple for multiple inputs)\n",
@@ -116,7 +143,9 @@
                 "\n",
                 "d = ((x).detach().numpy()).reshape([-1]).tolist()\n",
                 "\n",
-                "data = dict(input_data=[d])\n",
+                "data = dict(input_shapes=[shape],\n",
+                "            input_data=[d],\n",
+                "            output_data=[o.reshape([-1]).tolist() for o in torch_out])\n",
                 "\n",
                 "# Serialize data into file:\n",
                 "json.dump(data, open(\"input.json\", 'w'))\n"
@@ -138,7 +167,6 @@
         {
             "cell_type": "code",
             "execution_count": null,
-            "id": "0bee4d7f",
             "metadata": {},
             "outputs": [],
             "source": [
@@ -152,7 +180,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -174,7 +202,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -186,13 +214,13 @@
             "source": [
                 "# now generate the witness file \n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 10,
             "id": "b1c561a8",
             "metadata": {},
             "outputs": [],
@@ -392,7 +420,7 @@
                 "res = ezkl.gen_settings(model_path, settings_path)\n",
                 "assert res == True\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
+                "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
                 "assert res == True"
             ]
         }
@@ -413,7 +441,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.3"
+            "version": "3.9.15"
         }
     },
     "nbformat": 4,

examples/notebooks/deep_learning/gcn.ipynb

@@ -467,7 +467,7 @@
       "outputs": [],
       "source": [
         "\n",
-        "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
+        "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
         "assert res == True"
       ]
     },
@@ -494,7 +494,7 @@
       "outputs": [],
       "source": [
         "# srs path\n",
-        "res = await ezkl.get_srs( settings_path)"
+        "res = ezkl.get_srs( settings_path)"
       ]
     },
     {
@@ -508,7 +508,7 @@
       "source": [
         "# now generate the witness file\n",
         "\n",
-        "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+        "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
         "assert os.path.isfile(witness_path)"
       ]
     },
@@ -625,4 +625,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 5
-}
+}

examples/notebooks/deep_learning/keras_simple_demo.ipynb

@@ -67,7 +67,6 @@
                 "model.add(Dense(128, activation='relu'))\n",
                 "model.add(Dropout(0.5))\n",
                 "model.add(Dense(10, activation='softmax'))\n",
-                "model.output_names=['output']\n",
                 "\n",
                 "\n",
                 "# Train the model as you like here (skipped for brevity)\n",
@@ -152,7 +151,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
+                "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
                 "assert res == True\n"
             ]
         },
@@ -175,7 +174,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs(settings_path = settings_path)"
+                "res = ezkl.get_srs(settings_path = settings_path)"
             ]
         },
         {
@@ -188,7 +187,7 @@
                 "# now generate the witness file \n",
                 "witness_path = \"witness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -284,4 +283,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 5
-}
+}

examples/notebooks/deep_learning/little_transformer.ipynb

@@ -347,7 +347,7 @@
                 "# Serialize data into file:\n",
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
+                "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
                 "assert res == True\n"
             ]
         },
@@ -370,7 +370,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -383,7 +383,7 @@
                 "# now generate the witness file \n",
                 "witness_path = \"gan_witness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -490,4 +490,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 5
-}
+}

examples/notebooks/deep_learning/lstm.ipynb

@@ -139,7 +139,7 @@
                 "res = ezkl.gen_settings(model_path, settings_path, py_run_args=run_args)\n",
                 "assert res == True\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
+                "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
                 "assert res == True\n"
             ]
         },
@@ -180,7 +180,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -193,7 +193,7 @@
                 "# now generate the witness file \n",
                 "witness_path = \"lstmwitness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -300,4 +300,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 5
-}
+}

examples/notebooks/deep_learning/mnist_classifier.ipynb

@@ -323,7 +323,7 @@
         "res = ezkl.gen_settings(model_path, settings_path, py_run_args=run_args)\n",
         "assert res == True\n",
         "\n",
-        "res = await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\", scales=[2,7])\n",
+        "res = ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\", scales=[2,7])\n",
         "assert res == True"
       ]
     },
@@ -348,7 +348,7 @@
       "outputs": [],
       "source": [
         "# srs path\n",
-        "res = await ezkl.get_srs(settings_path)"
+        "res = ezkl.get_srs(settings_path)"
       ]
     },
     {
@@ -362,7 +362,7 @@
         "# now generate the witness file\n",
         "witness_path = \"witness.json\"\n",
         "\n",
-        "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+        "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
         "assert os.path.isfile(witness_path)"
       ]
     },
@@ -469,7 +469,7 @@
         "abi_path = 'test.abi'\n",
         "sol_code_path = 'test_1.sol'\n",
         "\n",
-        "res = await ezkl.create_evm_verifier(\n",
+        "res = ezkl.create_evm_verifier(\n",
         "        vk_path,\n",
         "        settings_path,\n",
         "        sol_code_path,\n",
@@ -502,7 +502,7 @@
         "\n",
         "address_path = os.path.join(\"address.json\")\n",
         "\n",
-        "res = await ezkl.deploy_evm(\n",
+        "res = ezkl.deploy_evm(\n",
         "    address_path,\n",
         "    sol_code_path,\n",
         "    'http://127.0.0.1:3030'\n",
@@ -525,7 +525,7 @@
         "# make sure anvil is running locally\n",
         "# $ anvil -p 3030\n",
         "\n",
-        "res = await ezkl.verify_evm(\n",
+        "res = ezkl.verify_evm(\n",
         "    addr,\n",
         "    proof_path,\n",
         "    \"http://127.0.0.1:3030\"\n",
@@ -558,4 +558,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}

examples/notebooks/deep_learning/mnist_gan.ipynb

@@ -38,7 +38,7 @@
                 "import logging\n",
                 "\n",
                 "import tensorflow as tf\n",
-                "from tensorflow.keras.optimizers import Adam\n",
+                "from tensorflow.keras.optimizers.legacy import Adam\n",
                 "from tensorflow.keras.layers import *\n",
                 "from tensorflow.keras.models import Model\n",
                 "from tensorflow.keras.datasets import mnist\n",
@@ -71,10 +71,8 @@
             },
             "outputs": [],
             "source": [
-                "ZDIM = 100\n",
-                "\n",
                 "opt = Adam()\n",
-                "\n",
+                "ZDIM = 100\n",
                 "\n",
                 "# discriminator\n",
                 "# 0 if it's fake, 1 if it's real\n",
@@ -116,11 +114,8 @@
                 "\n",
                 "gm = Model(in1, x)\n",
                 "gm.compile('adam', 'mse')\n",
-                "gm.output_names=['output']\n",
                 "gm.summary()\n",
                 "\n",
-                "opt = Adam()\n",
-                "\n",
                 "# GAN\n",
                 "dm.trainable = False\n",
                 "x = dm(gm.output)\n",
@@ -289,7 +284,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\", scales=[0,6])"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\", scales=[0,6])"
             ]
         },
         {
@@ -309,7 +304,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -321,7 +316,7 @@
                 "# now generate the witness file \n",
                 "witness_path = \"gan_witness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -420,7 +415,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.2"
+            "version": "3.9.15"
         }
     },
     "nbformat": 4,

examples/notebooks/deep_learning/mnist_gan_proof_splitting.ipynb

@@ -50,7 +50,7 @@
                 "import logging\n",
                 "\n",
                 "import tensorflow as tf\n",
-                "from tensorflow.keras.optimizers import Adam\n",
+                "from tensorflow.keras.optimizers.legacy import Adam\n",
                 "from tensorflow.keras.layers import *\n",
                 "from tensorflow.keras.models import Model\n",
                 "from tensorflow.keras.datasets import mnist\n",
@@ -126,8 +126,6 @@
                 "gm.compile('adam', 'mse')\n",
                 "gm.summary()\n",
                 "\n",
-                "opt = Adam()\n",
-                "\n",
                 "# GAN\n",
                 "dm.trainable = False\n",
                 "x = dm(gm.output)\n",
@@ -223,19 +221,8 @@
                 "\n",
                 "# split the model into 3 parts\n",
                 "gm2 = tf.keras.models.Sequential(gm.layers[0:4])\n",
-                "# display gm2 \n",
-                "gm2.summary()\n",
-                "gm2.output_names=['output']\n",
-                "\n",
-                "gm3 = tf.keras.models.Sequential(gm.layers[4:8])\n",
-                "#  display gm3\n",
-                "gm3.summary() \n",
-                "gm3.output_names=['output']\n",
-                "\n",
-                "gm4 = tf.keras.models.Sequential(gm.layers[8:])\n",
-                "# display gm4\n",
-                "gm4.summary()\n",
-                "gm4.output_names=['output'] \n",
+                "gm3 = tf.keras.models.Sequential(gm.layers[4:11])\n",
+                "gm4 = tf.keras.models.Sequential(gm.layers[11:])\n",
                 "\n",
                 "# After training, export to onnx (network.onnx) and create a data file (input.json)\n",
                 "x = 0.1*np.random.rand(1,*[1, ZDIM])\n",
@@ -277,9 +264,9 @@
                 "###  KZG commitment intermediate calculations\n",
                 "\n",
                 "the visibility parameters are:\n",
-                "- `input_visibility`: \"polycommit\"\n",
+                "- `input_visibility`: \"kzgcommit\"\n",
                 "- `param_visibility`: \"public\"\n",
-                "- `output_visibility`: polycommit"
+                "- `output_visibility`: kzgcommit"
             ]
         },
         {
@@ -293,15 +280,15 @@
                 "srs_path = os.path.join('kzg.srs')\n",
                 "\n",
                 "run_args = ezkl.PyRunArgs()\n",
-                "run_args.input_visibility = \"polycommit\"\n",
+                "run_args.input_visibility = \"kzgcommit\"\n",
                 "run_args.param_visibility = \"fixed\"\n",
-                "run_args.output_visibility = \"polycommit\"\n",
+                "run_args.output_visibility = \"kzgcommit\"\n",
                 "run_args.variables = [(\"batch_size\", 1)]\n",
                 "run_args.input_scale = 0\n",
                 "run_args.param_scale = 0\n",
                 "run_args.logrows = 18\n",
                 "\n",
-                "ezkl.get_srs(logrows=run_args.logrows, commitment=ezkl.PyCommitments.KZG)\n"
+                "ezkl.get_srs(logrows=run_args.logrows)\n"
             ]
         },
         {
@@ -313,13 +300,13 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 20,
             "metadata": {},
             "outputs": [],
             "source": [
                 "# iterate over each submodel gen-settings, compile circuit and setup zkSNARK\n",
                 "\n",
-                "async def setup(i):\n",
+                "def setup(i):\n",
                 "    print(\"Setting up split model \"+str(i))\n",
                 "    # file names\n",
                 "    model_path = os.path.join('network_split_'+str(i)+'.onnx')\n",
@@ -341,7 +328,7 @@
                 "\n",
                 "    # generate settings for the current model\n",
                 "    res = ezkl.gen_settings(model_path, settings_path, py_run_args=run_args)\n",
-                "    res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\", scales=[run_args.input_scale], max_logrows=run_args.logrows)\n",
+                "    res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\", scales=[run_args.input_scale], max_logrows=run_args.logrows)\n",
                 "    assert res == True\n",
                 "\n",
                 "    # load settings and print them to the console\n",
@@ -356,16 +343,17 @@
                 "         compiled_model_path,\n",
                 "         vk_path,\n",
                 "         pk_path,\n",
+                "         compress_selectors=True,\n",
                 "      )\n",
                 "\n",
                 "    assert res == True\n",
                 "    assert os.path.isfile(vk_path)\n",
                 "    assert os.path.isfile(pk_path)\n",
-                "    res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path, vk_path)\n",
+                "    res = ezkl.gen_witness(data_path, compiled_model_path, witness_path, vk_path)\n",
                 "    run_args.input_scale = settings[\"model_output_scales\"][0]\n",
                 "\n",
                 "for i in range(3):\n",
-                "    await setup(i)\n"
+                "    setup(i)\n"
             ]
         },
         {
@@ -383,9 +371,6 @@
             "source": [
                 "# GENERATE A PROOF\n",
                 "\n",
-                "print(\"Proving split models\")\n",
-                "\n",
-                "\n",
                 "def prove_model(i): \n",
                 "    proof_path = os.path.join('proof_split_'+str(i)+'.json')\n",
                 "    witness_path = os.path.join('witness_split_'+str(i)+'.json')\n",
@@ -433,9 +418,7 @@
                 "    assert res == True\n",
                 "    print(\"verified\")\n",
                 "\n",
-                "\n",
                 "for i in range(3):\n",
-                "    print(\"----- proving split \"+str(i))\n",
                 "    prove_model(i)"
             ]
         },
@@ -458,7 +441,7 @@
                 "    proof_path = os.path.join('proof_split_'+str(i)+'.json')\n",
                 "    proofs.append(proof_path)\n",
                 "\n",
-                "ezkl.mock_aggregate(proofs, logrows=23, split_proofs = True)"
+                "ezkl.mock_aggregate(proofs, logrows=22, split_proofs = True)"
             ]
         }
     ],
@@ -478,7 +461,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.12.5"
+            "version": "3.9.15"
         },
         "orig_nbformat": 4
     },

examples/notebooks/deep_learning/mnist_vae.ipynb

@@ -215,7 +215,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -235,7 +235,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -247,7 +247,7 @@
                 "# now generate the witness file\n",
                 "witness_path = \"ae_witness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -349,8 +349,6 @@
                 "z_log_var = Dense(ZDIM)(x)\n",
                 "z = Lambda(lambda x: x[0] + K.exp(0.5 * x[1]) * K.random_normal(shape=K.shape(x[0])))([z_mu, z_log_var])\n",
                 "dec = get_decoder()\n",
-                "dec.output_names=['output']\n",
-                "\n",
                 "out = dec(z)\n",
                 "\n",
                 "mse_loss = mse(Reshape((28*28,))(in1), Reshape((28*28,))(out)) * 28 * 28\n",
@@ -451,7 +449,7 @@
                 "res = ezkl.gen_settings(model_path, settings_path)\n",
                 "assert res == True\n",
                 "\n",
-                "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
+                "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\")\n",
                 "assert res == True\n",
                 "print(\"verified\")"
             ]
@@ -473,7 +471,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -485,7 +483,7 @@
                 "# now generate the witness file \n",
                 "witness_path = \"vae_witness.json\"\n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },

examples/notebooks/deep_learning/nbeats_timeseries_forecasting.ipynb

@@ -845,7 +845,7 @@
         "res = ezkl.gen_settings(model_path, settings_path)\n",
         "assert res == True\n",
         "\n",
-        "res = await ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\", max_logrows = 20, scales = [3])\n",
+        "res = ezkl.calibrate_settings(data_path, model_path, settings_path, \"resources\", max_logrows = 20, scales = [3])\n",
         "assert res == True"
       ]
     },
@@ -870,7 +870,7 @@
       "outputs": [],
       "source": [
         "# srs path\n",
-        "res = await ezkl.get_srs( settings_path)"
+        "res = ezkl.get_srs( settings_path)"
       ]
     },
     {
@@ -881,7 +881,7 @@
       },
       "outputs": [],
       "source": [
-        "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+        "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
         "assert os.path.isfile(witness_path)"
       ]
     },
@@ -993,4 +993,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}

examples/notebooks/deep_learning/sklearn_mlp.ipynb

@@ -149,7 +149,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "await ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\")"
             ]
         },
         {
@@ -171,7 +171,7 @@
             "outputs": [],
             "source": [
                 "# srs path\n",
-                "res = await ezkl.get_srs( settings_path)"
+                "res = ezkl.get_srs( settings_path)"
             ]
         },
         {
@@ -183,7 +183,7 @@
             "source": [
                 "# now generate the witness file \n",
                 "\n",
-                "res = await ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
+                "res = ezkl.gen_witness(data_path, compiled_model_path, witness_path)\n",
                 "assert os.path.isfile(witness_path)"
             ]
         },
@@ -282,4 +282,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 5
-}
+}