Raise Python exception on out-of-memory error condition

.github/workflows/build_test.yml

@@ -50,7 +50,7 @@ jobs:
       - name: Install latest stable Rust toolchain
         uses: actions-rs/toolchain@v1
         with:
-          toolchain: 1.60.0
+          toolchain: stable
           override: true
       - name: Install node
         uses: actions/setup-node@v2
@@ -91,7 +91,7 @@ jobs:
       - name: Install latest stable Rust toolchain
         uses: actions-rs/toolchain@v1
         with:
-          toolchain: 1.60.0
+          toolchain: stable
           override: true
       - name: Cache rust dependencies
         uses: Swatinem/rust-cache@v1
@@ -140,10 +140,10 @@ jobs:
         run: |
           choco install --yes protoc
         if: ${{ runner.os == 'Windows' }}
-      - name: Install latest stable Rust toolchain
+      - name: Install nightly Rust toolchain
         uses: actions-rs/toolchain@v1
         with:
-          toolchain: 1.60.0
+          toolchain: nightly
           override: true
       - name: Cache rust dependencies
         uses: Swatinem/rust-cache@v1
@@ -155,7 +155,8 @@ jobs:
           maturin-version: latest
           command: build
           manylinux: 2010
-          args: --release -m vegafusion-python-embed/Cargo.toml --strip
+          rust-toolchain: nightly
+          args: --release -m vegafusion-python-embed/Cargo.toml --strip --rustc-extra-args="-Z oom=panic"
       - name: Download Apple Silicon toolchain
         if: ${{ runner.os == 'macOS' }}
         run: |
@@ -166,7 +167,8 @@ jobs:
         with:
           maturin-version: latest
           command: build
-          args: --release -m vegafusion-python-embed/Cargo.toml --strip --target aarch64-apple-darwin -i python3.10 -i python3.9 -i python3.8 -i python3.7
+          rust-toolchain: nightly
+          args: --release -m vegafusion-python-embed/Cargo.toml --strip --rustc-extra-args="-Z oom=panic" --target aarch64-apple-darwin -i python3.10 -i python3.9 -i python3.8 -i python3.7
       - name: Remove unwanted universal
         if: ${{ runner.os == 'macOS' }}
         run: |
@@ -206,19 +208,6 @@ jobs:
         with:
           name: vegafusion-wasm-packages
           path: vegafusion-wasm/pkg
-      - name: Build and pack vegafusion-embed package
-        working-directory: javascript/vegafusion-embed/
-        run: |
-          npm install
-          npm run prepack
-          npm pack
-          mkdir packed
-          mv vegafusion-embed-*.tgz packed;
-      - name: Upload artifacts
-        uses: actions/upload-artifact@v2
-        with:
-          name: vegafusion-embed-packages
-          path: javascript/vegafusion-embed/packed
 
   build-vegafusion-wheel:
     runs-on: ubuntu-latest

javascript/vegafusion-chart-editor/package.json

@@ -1,6 +1,6 @@
 {
   "name": "create-wasm-app",
-  "version": "0.6.1",
+  "version": "0.6.2",
   "description": "create an app to consume rust-generated wasm packages",
   "main": "index.js",
   "bin": {

javascript/vegafusion-embed/package.json

@@ -1,6 +1,6 @@
 {
   "name": "vegafusion-embed",
-  "version": "0.6.1",
+  "version": "0.6.2",
   "description": "Library to embed vegafusion visualizations",
   "keywords": [
     "vega",

python/vegafusion-jupyter/package.json

@@ -1,6 +1,6 @@
 {
   "name": "vegafusion-jupyter",
-  "version": "0.6.1",
+  "version": "0.6.2",
   "description": "Altair Jupyter Widget library that relies on VegaFusion for serverside calculations",
   "keywords": [
     "jupyter",

python/vegafusion-jupyter/vegafusion_jupyter/_frontend.py

@@ -2,4 +2,4 @@
 Information about the frontend package of the widgets.
 """    
 module_name = "vegafusion-jupyter"
-module_version = "^0.6.1"
+module_version = "^0.6.2"

python/vegafusion-jupyter/vegafusion_jupyter/_version.py

@@ -1 +1 @@
-__version__ = '0.6.1'
+__version__ = '0.6.2'

python/vegafusion/setup.cfg

@@ -4,7 +4,7 @@ universal = 0
 [metadata]
 name = vegafusion
 description = Core tools for using VegaFusion from Python
-version = 0.6.1
+version = 0.6.2
 long_description = file: README.md
 long_description_content_type = text/markdown
 keywords = vega, altair, vegafusion, arrow

python/vegafusion/vegafusion/_version.py

@@ -1 +1 @@
-__version__ = '0.6.1'
+__version__ = '0.6.2'

vegafusion-core/Cargo.toml

@@ -2,7 +2,7 @@
 name = "vegafusion-core"
 license = "AGPL-3.0-or-later"
 edition = "2021"
-version = "0.6.1"
+version = "0.6.2"
 
 [features]
 tonic_support = [ "tonic", "tonic-build",]

vegafusion-python-embed/Cargo.toml

@@ -2,7 +2,7 @@
 name = "vegafusion-python-embed"
 license = "AGPL-3.0-or-later"
 edition = "2021"
-version = "0.6.1"
+version = "0.6.2"
 
 [lib]
 name = "vegafusion_embed"
@@ -33,7 +33,3 @@ features = [ "macros", "rt-multi-thread",]
 [dependencies.pyo3]
 version = "0.16.4"
 features = [ "extension-module",]
-
-[dependencies.mimalloc]
-version = "*"
-default-features = false

vegafusion-python-embed/src/lib.rs

@@ -17,13 +17,8 @@ use vegafusion_core::proto::gen::services::pre_transform_result;
 use vegafusion_rt_datafusion::task_graph::runtime::TaskGraphRuntime;
 
 use serde::{Deserialize, Serialize};
-
-use mimalloc::MiMalloc;
 use vegafusion_core::data::dataset::VegaFusionDataset;
 
-#[global_allocator]
-static GLOBAL: MiMalloc = MiMalloc;
-
 #[derive(Clone, Serialize, Deserialize)]
 struct PreTransformWarning {
     #[serde(rename = "type")]

vegafusion-rt-datafusion/Cargo.toml

@@ -6,7 +6,7 @@ harness = false
 name = "vegafusion-rt-datafusion"
 license = "AGPL-3.0-or-later"
 edition = "2021"
-version = "0.6.1"
+version = "0.6.2"
 
 [features]
 pyarrow = [ "vegafusion-core/pyarrow",]

vegafusion-server/Cargo.toml

@@ -4,7 +4,7 @@ path = "src/main.rs"
 
 [package]
 name = "vegafusion-server"
-version = "0.6.1"
+version = "0.6.2"
 edition = "2021"
 license = "AGPL-3.0-or-later"
 

vegafusion-wasm/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "vegafusion-wasm"
-version = "0.6.1"
+version = "0.6.2"
 edition = "2021"
 
 [lib]

vegafusion-wasm/package.json

@@ -1,6 +1,6 @@
 {
   "name": "vegafusion-wasm",
-  "version": "0.6.1",
+  "version": "0.6.2",
   "author": {
     "name": "VegaFusion Technologies LLC",
     "email": "[email protected]",