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4
.github/workflows/docs-and-testcov.yml
vendored
4
.github/workflows/docs-and-testcov.yml
vendored
@ -103,8 +103,8 @@ jobs:
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cp tarpaulin-report.json target/doc/docs/
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cp tarpaulin-report.json target/doc/docs/
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cp tarpaulin-badge.json target/doc/docs/
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cp tarpaulin-badge.json target/doc/docs/
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cp last-commit-date.json target/doc/docs/
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cp last-commit-date.json target/doc/docs/
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mkdir -p target/doc/docs/.github
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mkdir -p target/doc/.github
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cp .github/rustframe_logo.png target/doc/docs/.github/
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cp .github/rustframe_logo.png target/doc/.github/rustframe_logo.png
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echo "<meta http-equiv=\"refresh\" content=\"0; url=docs\">" > target/doc/index.html
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echo "<meta http-equiv=\"refresh\" content=\"0; url=docs\">" > target/doc/index.html
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- name: Upload Pages artifact
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- name: Upload Pages artifact
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2
.github/workflows/run-benchmarks.yml
vendored
2
.github/workflows/run-benchmarks.yml
vendored
@ -34,7 +34,7 @@ jobs:
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toolchain: stable
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toolchain: stable
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- name: Run benchmarks
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- name: Run benchmarks
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run: cargo bench
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run: cargo bench --features bench
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- name: Upload benchmark reports
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- name: Upload benchmark reports
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uses: actions/upload-artifact@v4
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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
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- **Date‑centric row index** - business‑day ranges and calendar slicing built in.
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- **Date‑centric row index** - business‑day ranges and calendar slicing built in.
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- **Pure safe Rust** - 100 % safe, zero `unsafe`.
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- **Pure safe Rust** - 100 % safe, zero `unsafe`.
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### Coming soon
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- **CSV I/O** - read/write CSV files with a simple API.
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- **Date Utils** - date math, calendar slicing, indexing, and more.
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- **More math** - more math functions and aggregations.
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### Heads up
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### Heads up
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- **Not memory‑efficient (yet)** - footprint needs work.
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- **Not memory‑efficient (yet)** - footprint needs work.
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@ -34,6 +40,7 @@ Rustframe keeps things simple, safe, and readable. It is handy for quick numeric
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- Optional GPU help (Vulkan or similar) for heavier workloads.
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- Optional GPU help (Vulkan or similar) for heavier workloads.
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- Straightforward Python bindings using `pyo3`.
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- Straightforward Python bindings using `pyo3`.
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- Integration with common ML libraries, or introduce simple ML features.
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---
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---
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