Eventual-Inc/Daft

Daft

Performance History

Latest Results

fix(dashboard): handle offline builds in frontend (#6867) The dashboard frontend imports `Geist_Mono` via `next/font/google`, which fetches from `fonts.googleapis.com` at build time. Sandboxed agent containers without egress fail this fetch, breaking `make build` and skipping TypeScript/React typechecking entirely. This switches to the `geist` npm package which bundles the font instead of fetching it at build time. https://claude.ai/code/session_01FBQD1UacpCcUwRYWbAPk9R --------- Co-authored-by: Claude <noreply@anthropic.com>

main

5 hours ago

fix(dashboard): use geist npm package to bundle Geist Mono locally next/font/google fetches fonts.googleapis.com at build time, which fails in offline environments. The geist npm package ships the Geist font files locally, so `next build` works fully offline once dependencies are installed — no env vars, aliases, or fallback stubs needed. Per @universalmind303's review on #6867. Reverts the offline-font scaffolding (next.config.ts alias, font.offline.ts stub, AGENTS.md, and build.rs warning hints) and replaces the Geist_Mono import with `import { GeistMono } from "geist/font/mono"`.

claude/fix-offline-fonts-build-gWp0O

6 hours ago

chore: bump minimum PyArrow version to 16 Daft's policy is to support the latest 8 minor PyArrow versions. With PyArrow 24 released, the supported window should be `>= 16, < 25`. This commit: - Bumps the `pyarrow` constraint in `pyproject.toml` to `>= 16.0.0, < 25.0.0` for the main dependency, the `hudi` extra, and the dev dependency group (3 callsites). - Removes `pytest.mark.skipif(pa.__version__ < "16", ...)` markers from 7 float16 tests in `tests/series/test_numeric_ops.py` and `tests/series/test_float.py` since the gated PyArrow versions are no longer supported. - Simplifies `tests/series/__init__.py` to include `pa.float16()` in `ARROW_FLOAT_TYPES` unconditionally. Closes #6862

0xdeadd:chore/bump-pyarrow-min-16

7 hours ago

feat(dtype): add Float16 (half-precision) support (#6859) ## Changes Made Adds full Float16 (IEEE 754 half-precision) type support across the engine, mirroring the existing Float32/Float64 patterns. This enables ML/AI workloads that store model weights and activations in half-precision. **Core type system:** - `DataType::Float16` enum variant with arrow roundtrip, Display, coercion, size estimation - `Float16Type` / `Float16Array` via `NumericNative`, `DaftNumericType`, `DaftFloatType` trait impls - `Literal::Float16(half::f16)` with `From`/`FromLiteral` conversions, Hash, Display, negation - All 9 type-dispatch macros (`with_match_daft_types!`, `with_match_numeric_daft_types!`, etc.) - Supertype coercion rules (Float16 + Int32 → Float32, Float16 + Float64 → Float64, etc.) **Operations:** - Array ops: sort, sum, product, round, is_in, trigonometry, comparison, growable - Series ops: abs, floor, log, pow, aggregations, downcast, serialization - Hashing with NaN canonicalization, groupby, search sorted - Float functions (is_nan, not_nan, is_inf) and numeric functions (ceil, round, sign, exp) - Utf8 → Float16 casting via Float32 intermediate (arrow doesn't support direct cast) **Infrastructure:** - `NdArray::F16` variant with numpy `half` feature for tensor/ndarray support - SQL type mapping (`float16`, `half`), HTML rendering - Python: `DataType.float16`, `is_float16()`, `np.float16`/`pa.float16` mappings - `hf16!()` convenience macro for constructing `half::f16` values in tests - Arrow roundtrip tests and Float16 included in series test `ARROW_FLOAT_TYPES` ## Related Issues Closes https://github.com/Eventual-Inc/Daft/issues/3126 Closes https://github.com/Eventual-Inc/Daft/issues/2889

main

9 hours ago

docs(dashboard): trim agent-specific framing from offline-font comments

claude/fix-offline-fonts-build-gWp0O

9 hours ago

Merge branch 'main' of https://github.com/Eventual-Inc/Daft into universalmind303/f16

universalmind303/f16

10 hours ago

chore(deps): bump the all group with 4 updates Bumps the all group with 4 updates: [slackapi/slack-github-action](https://github.com/slackapi/slack-github-action), [actions/github-script](https://github.com/actions/github-script), [isbang/compose-action](https://github.com/isbang/compose-action) and [marocchino/sticky-pull-request-comment](https://github.com/marocchino/sticky-pull-request-comment). Updates `slackapi/slack-github-action` from 3.0.1 to 3.0.2 - [Release notes](https://github.com/slackapi/slack-github-action/releases) - [Changelog](https://github.com/slackapi/slack-github-action/blob/main/CHANGELOG.md) - [Commits](https://github.com/slackapi/slack-github-action/compare/v3.0.1...v3.0.2) Updates `actions/github-script` from 7 to 9 - [Release notes](https://github.com/actions/github-script/releases) - [Commits](https://github.com/actions/github-script/compare/v7...v9) Updates `isbang/compose-action` from 2.5.0 to 2.6.0 - [Release notes](https://github.com/isbang/compose-action/releases) - [Commits](https://github.com/isbang/compose-action/compare/v2.5.0...v2.6.0) Updates `marocchino/sticky-pull-request-comment` from 2 to 3 - [Release notes](https://github.com/marocchino/sticky-pull-request-comment/releases) - [Commits](https://github.com/marocchino/sticky-pull-request-comment/compare/v2...v3) --- updated-dependencies: - dependency-name: slackapi/slack-github-action dependency-version: 3.0.2 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: all - dependency-name: actions/github-script dependency-version: '9' dependency-type: direct:production update-type: version-update:semver-major dependency-group: all - dependency-name: isbang/compose-action dependency-version: 2.6.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all - dependency-name: marocchino/sticky-pull-request-comment dependency-version: '3' dependency-type: direct:production update-type: version-update:semver-major dependency-group: all ... Signed-off-by: dependabot[bot] <support@github.com>

dependabot/github_actions/all-002e83484c

10 hours ago

feat: extension datatype casting (#6803) ## Changes Made allows for casting concrete datatypes to extension types when the underlying storage types match. example: ```py from daft import DataType, col Point2D = DataType.extension("point2d", DataType.fixed_size_list(DataType.float64(), 2)) df = daft.from_pydict({"coords": [[37.7749, -122.4194], [34.0522, -118.2437]]}) df = df.with_column("point", col("coords").cast(Point2D)) df.show() ``` ## Related Issues

main

10 hours ago

Latest Branches

fix(dashboard): handle offline builds in frontend#6867

7 hours ago

b7403ce

claude/fix-offline-fonts-build-gWp0O

chore: bump minimum PyArrow version to 16#6868

7 hours ago

1d40dc6

0xdeadd:chore/bump-pyarrow-min-16

feat(dtype): add Float16 (half-precision) support#6859

10 hours ago

e91094b

universalmind303/f16

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