Compute global in-degree for all points: how many times each point appears as a neighbor of other points in the KNN graph.

Batch projection: compute margins for multiple nodes in a single GPU dispatch. Each entry in the batch is (hyperplane, offset, point_indices). Return

Dispatch a single chunk of nodes that fits within the pre-allocated hyperplane/offset buffers (at most `max_batch_nodes` nodes).

Compute recall: fraction of true neighbors found.

* Concatenate per-chunk embedding results into a single result, preserving * input order. Throws if `parts` is empty (callers should short-circuit a

Build a Map<string, number> from a plain object, for terse fixtures.

* A tiny async sequencer that serializes access to a resource which can only be * touched while no async section holds it. * * `step`/`run` are asy

The number of epochs run so far.

cyrb53 (c) 2018 bryc (github.com/bryc) * License: Public domain (or MIT if needed). Attribution appreciated. * * A fast and simple 53-bit string ha

* Detect whether the `features` column is a plain string list or a struct list. * Uses DESCRIBE on the projected expression and the shared jsTypeFrom

Dispatch a single chunk of pairs (must fit within buffer limits).

Diversify the neighbor graph using relative neighborhood pruning. Removes edges where a shorter path through a retained neighbor exists.

Download the embedding from the GPU into a fresh Vec.

* Embed `inputs` and return a map from each input string to its own copy of the * pooled vector (copied out so it survives the underlying tensor bein

Create an Embedding Atlas widget in Streamlit. Args: data_frame: The data frame to visualize. x: Th

Define the document-level color variables for light and dark modes.

Euclidean hub-based split: uses top-3 highest-degree points to generate hyperplanes between all pairs, picks the most balanced split.

Euclidean random projection split: picks 2 random points, computes their difference as hyperplane and midpoint offset.

Compute exact k-NN using sklearn, including self-matches.

Fetch MNIST (70k images of 28x28 pixels).

Binary-search for the node whose [start, end) range contains `offset`.

Find the next available port starting from start_port.