lf.batch_add(fingerprints) throws a bunch of vectors and die

[ScottLiao920]

Here's my code snippet:
`
perm = 128

lf = tm.LSHForest(perm)

fingerprints = [tm.VectorFloat(b) for b in all_embeds]

lf.batch_add(fingerprints)
`

where all_embeds is a numpy array of molecular fingerprints in float.
I tried python3.6, 3.9, and 3.10, all installed with conda install -c tmap tmap,
running as python script throws a bunch of vectors and then quit, running in notebook dies immediately.
Any idea on how to fix this?

[ScottLiao920]

Hi I found out that batch_add can only handle tm.VectorUint, hence I converted with

    vectors = [tm.VectorFloat(embedding) for embedding in all_embeds[:100]]

    # Initialize Minhash with desired dimensions
    minhash = tm.Minhash(d=128)

    # Create MinHash signatures from the embeddings
    minhashes = minhash.batch_from_weight_array(vectors)

    # Add the Fingerprints to the LSH Forest and index
    lf.batch_add(minhashes)

Not sure whether I did this correctly.