Run an embedder function over *data* in batches, return concatenated result.

Align emb to ref_emb using rotation + translation, allowing a flip. Tries the embedding as-is and with x-axis flipped, picks whichever gives

Async version of ``compute_projection``. Use this when calling from within a running async event loop (e.g. Jupyter notebooks)::

Return environment dict for benchmark subprocesses.

Call a registered function on the worker.

Check if the given rect is occupied, return true if any bit is true

UMAP / NNDescent benchmark suite.

Compute distribution stats for all fields used in a chart.

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

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

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

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

Find a start location (x, y) with a rect of size (width, height) can be placed

Find the next available port starting from start_port.

Perform a full text search with the given query

Generate MNIST benchmark datasets.

Generate NNDescent benchmark datasets.

Generate a single dataset with ground truth.

Import the given list of modules.