Easily create file-backed bloom filters from lots of data. My primary purpose is for hashsets, but it should be general enough to use for any other strings.

The code is heavily based on https://github.com/blacktop/docker-nsrl

• Treat each line in INFILE as a single item, create a bloom filter (with default error rate), add the items to the bloom filter, and persist it to OUTFILE

$ pip3 install .
$ bloomers build -i INFILE -o OUTFILE

• Do the same thing, but for comma-delimited input (will auto-remove double-quotes), only take the second column from each row, and assume it is a hexadecimal string

$ bloomers build -i INFILE -o OUTFILE -d , -c 2 --hex

• Check if any of a set of hashes exist in the bloom filter

$ bloomers search -i INFILE --csv --hex HASH1 HASH2 HASH3 HASH4