hanhv

> Currently, we only support np.float32 type. np.random.uniform will generate np.float64 data. Try to use np.random.uniform(low=0.5, high=13.3, size=(n,)).astype(np.float32) Passed, thanks

yep, It takes so long to complete the training index I've tried on the experiment with the dataset (1024 * 1024 * 5, 128) -- 5.242.880 vectors of 128 dim....

> > yep, It takes so long to complete the training index > > I've tried on the experiment with the dataset (1024 * 1024 * 5, 128) -- 5.242.880...

solved

I tested with a non-AWS setup, I used a local minio, I ran the example in [examples/projects/kafka-alternatives/minio-ETL](https://github.com/pathwaycom/pathway/tree/main/examples/projects/kafka-alternatives/minio-ETL) in the local-minio environment --base.py ``` from dotenv import load_dotenv import pathway as...

run within fixed venv ``` python read-results.py [2024-10-09T09:34:50]:INFO:Preparing Pathway computation [2024-10-09T09:34:50]:WARNING:{"AWS_ALLOW_HTTP": "True", "AWS_BUCKET_NAME": "lab1", "AWS_STORAGE_ALLOW_HTTP": "True", "AWS_ACCESS_KEY_ID": "minio", "AWS_VIRTUAL_HOSTED_STYLE_REQUEST": "False", "AWS_ENDPOINT_URL": "http://localhost:9090", "AWS_SECRET_ACCESS_KEY": "minio123", "AWS_S3_ALLOW_UNSAFE_RENAME": "True"} [2024-10-09T09:34:50]:INFO:Using Static credential provider...

I tried fixing it, it seems ok, comment at the top [see](https://github.com/pathwaycom/pathway/issues/71#issue-2572552773)