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3 changed files with 10 additions and 3 deletions

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@ -103,8 +103,8 @@ jobs:
cp tarpaulin-report.json target/doc/docs/ cp tarpaulin-report.json target/doc/docs/
cp tarpaulin-badge.json target/doc/docs/ cp tarpaulin-badge.json target/doc/docs/
cp last-commit-date.json target/doc/docs/ cp last-commit-date.json target/doc/docs/
mkdir -p target/doc/docs/.github mkdir -p target/doc/.github
cp .github/rustframe_logo.png target/doc/docs/.github/ cp .github/rustframe_logo.png target/doc/.github/rustframe_logo.png
echo "<meta http-equiv=\"refresh\" content=\"0; url=docs\">" > target/doc/index.html echo "<meta http-equiv=\"refresh\" content=\"0; url=docs\">" > target/doc/index.html
- name: Upload Pages artifact - name: Upload Pages artifact

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@ -34,7 +34,7 @@ jobs:
toolchain: stable toolchain: stable
- name: Run benchmarks - name: Run benchmarks
run: cargo bench run: cargo bench --features bench
- name: Upload benchmark reports - name: Upload benchmark reports
uses: actions/upload-artifact@v4 uses: actions/upload-artifact@v4

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@ -25,6 +25,12 @@ Rustframe keeps things simple, safe, and readable. It is handy for quick numeric
- **Datecentric row index** - businessday ranges and calendar slicing built in. - **Datecentric row index** - businessday ranges and calendar slicing built in.
- **Pure safe Rust** - 100% safe, zero `unsafe`. - **Pure safe Rust** - 100% safe, zero `unsafe`.
### Coming soon
- **CSV I/O** - read/write CSV files with a simple API.
- **Date Utils** - date math, calendar slicing, indexing, and more.
- **More math** - more math functions and aggregations.
### Heads up ### Heads up
- **Not memoryefficient (yet)** - footprint needs work. - **Not memoryefficient (yet)** - footprint needs work.
@ -34,6 +40,7 @@ Rustframe keeps things simple, safe, and readable. It is handy for quick numeric
- Optional GPU help (Vulkan or similar) for heavier workloads. - Optional GPU help (Vulkan or similar) for heavier workloads.
- Straightforward Python bindings using `pyo3`. - Straightforward Python bindings using `pyo3`.
- Integration with common ML libraries, or introduce simple ML features.
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