cave_closure
Independent Gaussian weighted least-squares adjustment of oriented survey multigraphs in local ENU metres. The Rust core has no consumer, geographic, Tauri, or Python dependency. This source tree is standalone; upstream and registry identities must be supplied before publication or submodule registration.
The caller selects spatial or marginal-horizontal adjustment. Horizontal mode requires an explicit preserved-Z value for every station. Covariance models include supplied SPD matrices, equal isotropic variance, length-proportional variance, and uncalibrated relative weights. No variance floor is inserted.
Exact equivalences and offsets are contracted before solving. Hard controls may
select individual axes. Soft controls identify translation directions without
being replaced by artificial gauges. Uncontrolled directions receive reported,
deterministic gauges unless RequireControl behavior is requested.
The default backend eliminates unknown station blocks with at most two
neighbors, solves the remaining system with block-Jacobi PCG, and reconstructs
coordinates. The optional sparse-direct feature adds maintained sparse QR of
the whitened design and sparse Cholesky of the normal system. Backends are
explicit choices. There is no automatic fallback or regularization.
use cave_closure::{json, prepare, PrepareOptions, SolveConfig, Workspace, SolveControl};
let problem = json::from_json(include_str!("tests/fixtures/controlled_tree.json"))?;
let prepared = prepare(&problem, &PrepareOptions::default())?;
let result = prepared.solve(&SolveConfig::default(), &mut Workspace::default(), &SolveControl::default())?;
result.require_converged()?;
# Ok::<(), cave_closure::Error>(())
from cave_closure import prepare_json, coordinates
prepared = prepare_json(input_json)
result = prepared.solve()
result.require_converged()
positions = coordinates(result)
prepare_arrays is the ordinary owned bulk API. prepare_buffers accepts
C-contiguous native unsigned 64-bit endpoint indexes and float64 displacement
and covariance buffers. NumPy is optional. Preparation copies input; exporters
must not be modified concurrently while the copy runs. Prepared objects and
results are immutable. Concurrent solves have separate workspaces and may share
a preparation. CancellationToken supports worker cancellation; main-thread
Python signals retain their exception type. Direct factorization observes
cancellation before and after its external call.
Run checks directly from this tree:
cargo test --locked --all-features
cargo fmt --all -- --check
cargo clippy --locked --workspace --all-targets --all-features -- -D warnings
uv run maturin build --features abi3 --out dist
uv run pytest
See the numerical contract, interchange contract, and artifact qualification. The persisted fixture corpus checks every solver against independent references. AGPL terms are in LICENSE.
1 maintainer
Metadata
1 maintainer
Release files for cave-closure 0.0.1
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Built distributions (wheels)
Total release size: 36.4 MB
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