238 lines
8.6 KiB
Markdown
238 lines
8.6 KiB
Markdown
# Poindexter
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[](https://pkg.go.dev/github.com/Snider/Poindexter)
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[](https://github.com/Snider/Poindexter/actions)
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[](https://goreportcard.com/report/github.com/Snider/Poindexter)
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[](https://pkg.go.dev/golang.org/x/vuln/cmd/govulncheck)
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[](https://codecov.io/gh/Snider/Poindexter)
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[](https://github.com/Snider/Poindexter/releases)
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A Go library package providing utility functions including sorting algorithms with custom comparators.
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## Features
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- 🔢 **Sorting Utilities**: Sort integers, strings, and floats in ascending or descending order
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- 🎯 **Custom Sorting**: Sort any type with custom comparison functions or key extractors
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- 🔍 **Binary Search**: Fast search on sorted data
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- 🧭 **KDTree (NN Search)**: Build a KDTree over points with generic payloads; nearest, k-NN, and radius queries with Euclidean, Manhattan, Chebyshev, and Cosine metrics
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- 📦 **Generic Functions**: Type-safe operations using Go generics
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- ✅ **Well-Tested**: Comprehensive test coverage
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- 📖 **Documentation**: Full documentation available at GitHub Pages
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## Installation
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```bash
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go get github.com/Snider/Poindexter
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```
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## Quick Start
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```go
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package main
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import (
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"fmt"
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poindexter "github.com/Snider/Poindexter"
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)
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func main() {
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// Basic sorting
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numbers := []int{3, 1, 4, 1, 5, 9}
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poindexter.SortInts(numbers)
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fmt.Println(numbers) // [1 1 3 4 5 9]
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// Custom sorting with key function
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type Product struct {
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Name string
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Price float64
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}
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products := []Product{{"Apple", 1.50}, {"Banana", 0.75}, {"Cherry", 3.00}}
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poindexter.SortByKey(products, func(p Product) float64 { return p.Price })
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// KDTree quick demo
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pts := []poindexter.KDPoint[string]{
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{ID: "A", Coords: []float64{0, 0}, Value: "alpha"},
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{ID: "B", Coords: []float64{1, 0}, Value: "bravo"},
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{ID: "C", Coords: []float64{0, 1}, Value: "charlie"},
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}
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tree, _ := poindexter.NewKDTree(pts, poindexter.WithMetric(poindexter.EuclideanDistance{}))
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nearest, dist, _ := tree.Nearest([]float64{0.9, 0.1})
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fmt.Println(nearest.ID, nearest.Value, dist) // B bravo ~0.141...
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}
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```
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## Documentation
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Full documentation is available at [https://snider.github.io/Poindexter/](https://snider.github.io/Poindexter/)
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Explore runnable examples in the repository:
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- examples/dht_ping_1d
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- examples/kdtree_2d_ping_hop
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- examples/kdtree_3d_ping_hop_geo
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- examples/kdtree_4d_ping_hop_geo_score
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- examples/dht_helpers (convenience wrappers for common DHT schemas)
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- examples/wasm-browser (browser demo using the ESM loader)
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- examples/wasm-browser-ts (TypeScript + Vite local demo)
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### KDTree performance and notes
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- Dual backend support: Linear (always available) and an optimized KD backend enabled when building with `-tags=gonum`. Linear is the default; with the `gonum` tag, the optimized backend becomes the default.
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- Complexity: Linear backend is O(n) per query. Optimized KD backend is typically sub-linear on prunable datasets and dims ≤ ~8, especially as N grows (≥10k–100k).
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- Insert is O(1) amortized; delete by ID is O(1) via swap-delete; order is not preserved.
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- Concurrency: the KDTree type is not safe for concurrent mutation. Protect with a mutex or share immutable snapshots for read-mostly workloads.
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- See multi-dimensional examples (ping/hops/geo/score) in docs and `examples/`.
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- Performance guide: see docs/Performance for benchmark guidance and tips: [docs/perf.md](docs/perf.md) • Hosted: https://snider.github.io/Poindexter/perf/
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### Backend selection
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- Default backend is Linear. If you build with `-tags=gonum`, the default becomes the optimized KD backend.
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- You can override per tree at construction:
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```go
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// Force Linear (always available)
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kdt1, _ := poindexter.NewKDTree(pts, poindexter.WithBackend(poindexter.BackendLinear))
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// Force Gonum (requires build tag)
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kdt2, _ := poindexter.NewKDTree(pts, poindexter.WithBackend(poindexter.BackendGonum))
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```
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- Supported metrics in the optimized backend: Euclidean (L2), Manhattan (L1), Chebyshev (L∞).
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- Cosine and Weighted-Cosine currently run on the Linear backend.
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- See the Performance guide for measured comparisons and when to choose which backend.
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#### Choosing a metric (quick tips)
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- Euclidean (L2): smooth trade-offs across axes; solid default for blended preferences.
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- Manhattan (L1): emphasizes per-axis absolute differences; good when each unit of ping/hop matters equally.
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- Chebyshev (L∞): dominated by the worst axis; useful for strict thresholds (e.g., reject high hop count regardless of ping).
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- Cosine: angle-based for vector similarity; pair it with normalized/weighted features when direction matters more than magnitude.
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See the multi-dimensional KDTree docs for end-to-end examples and weighting/normalization helpers: [Multi-Dimensional KDTree (DHT)](docs/kdtree-multidimensional.md).
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## Maintainer Makefile
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The repository includes a maintainer-friendly `Makefile` that mirrors CI tasks and speeds up local workflows.
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- help — list available targets
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- tidy / tidy-check — run `go mod tidy`, optionally verify no diffs
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- fmt — format code (`go fmt ./...`)
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- vet — `go vet ./...`
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- build — `go build ./...`
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- examples — build all programs under `examples/` (if present)
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- test — run unit tests
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- race — run tests with the race detector
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- cover — run tests with race + coverage (writes `coverage.out` and prints summary)
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- coverhtml — render HTML coverage report to `coverage.html`
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- coverfunc — print per-function coverage (from `coverage.out`)
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- cover-kdtree — print coverage details filtered to `kdtree.go`
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- fuzz — run Go fuzzing for a configurable time (default 10s) matching CI
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- bench — run benchmarks with `-benchmem` (writes `bench.txt`)
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- lint — run `golangci-lint` (if installed)
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- vuln — run `govulncheck` (if installed)
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- ci — CI-parity aggregate: tidy-check, build, vet, cover, examples, bench, lint, vuln
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- release — run GoReleaser with the canonical `.goreleaser.yaml` (for tagged releases)
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- snapshot — GoReleaser snapshot (no publish)
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- docs-serve — serve MkDocs locally on 127.0.0.1:8000
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- docs-build — build MkDocs site into `site/`
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Quick usage:
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- See all targets:
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```bash
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make help
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```
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- Fast local cycle:
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```bash
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make fmt
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make vet
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make test
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```
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- CI-parity run (what GitHub Actions does, locally):
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```bash
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make ci
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```
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- Coverage summary:
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```bash
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make cover
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```
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- Generate HTML coverage report (writes coverage.html):
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```bash
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make coverhtml
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```
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- Fuzz for 10 seconds (default):
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```bash
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make fuzz
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```
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- Fuzz with a custom time (e.g., 30s):
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```bash
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make fuzz FUZZTIME=30s
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```
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- Run benchmarks (writes bench.txt):
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```bash
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make bench
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```
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- Build examples (if any under ./examples):
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```bash
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make examples
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```
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- Serve docs locally (requires mkdocs-material):
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```bash
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make docs-serve
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```
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Configurable variables:
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- `FUZZTIME` (default `10s`) — e.g. `make fuzz FUZZTIME=30s`
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- `BENCHOUT` (default `bench.txt`), `COVEROUT` (default `coverage.out`), `COVERHTML` (default `coverage.html`)
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- Tool commands are overridable via env: `GO`, `GOLANGCI_LINT`, `GORELEASER`, `MKDOCS`
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Requirements for optional targets:
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- `golangci-lint` for `make lint`
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- `golang.org/x/vuln/cmd/govulncheck` for `make vuln`
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- `goreleaser` for `make release` / `make snapshot`
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- `mkdocs` + `mkdocs-material` for `make docs-serve` / `make docs-build`
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See the full Makefile at the repo root for authoritative target definitions.
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## License
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This project is licensed under the European Union Public Licence v1.2 (EUPL-1.2). See [LICENSE](LICENSE) for details.
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## Contributing
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Contributions are welcome! Please feel free to submit a Pull Request.
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## Coverage
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- CI produces coverage summaries as artifacts on every push/PR:
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- Default job: `coverage-summary.md` (from `coverage.out`)
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- Gonum-tag job: `coverage-summary-gonum.md` (from `coverage-gonum.out`)
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- Locally, you can generate and inspect coverage with the Makefile:
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```bash
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make cover # runs tests with race + coverage and prints the total
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make coverfunc # prints per-function coverage
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make cover-kdtree # filters coverage to kdtree.go
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make coverhtml # writes coverage.html for visual inspection
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```
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Note: CI also uploads raw coverage profiles as artifacts (`coverage.out`, `coverage-gonum.out`).
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