[BUG] cosine an inner_product are provided as options, but are impossible to use about diskann HOT 8 OPEN

import glob
import os
from pathlib import Path

import diskannpy as dap
import numpy as np


def directory_is_empty(directory: str) -> bool:
    dir = Path(directory)
    fpath = dir.resolve()
    empty = not any(dir.iterdir())

    if not empty:
        print("Found {} . Removing contet".format(fpath))
        files = glob.glob('{}/*.*'.format(fpath))
        for f in files:
            os.remove(f)

    return empty


rel_dir = "bug_fix"
Path(rel_dir).mkdir(exist_ok=True)
directory_is_empty(rel_dir)

query = [1, -0.1]
search_space = [
    [10, 0],  # according to cosine distance, this is the closest
    [1, 0.1],  # according to l2, this is the closest
]


# normalizing all vectors in the search space 
normalized_search_space = []
for idx,col in enumerate(search_space):
    norm = np.linalg.norm(col)
    normalized_search_space.append(col / norm)

# to store back the normalized_search_space in search_space
search_space = normalized_search_space 

dap.build_disk_index(
        data = np.array(search_space, dtype=np.float32),
        distance_metric="l2",
        #distance_metric="cosine",
        index_directory=rel_dir,
        graph_degree=16,
        complexity=32,
        vector_dtype=np.float32,
        search_memory_maximum=0.00003,
        build_memory_maximum=1,
        num_threads=0,
        pq_disk_bytes=0
    )


index = dap.StaticDiskIndex(distance_metric="l2",
	    vector_dtype=np.float32,
            index_directory=Path(rel_dir).resolve(),
            num_threads=16,
            num_nodes_to_cache=10)

res = index.search(np.array(query, dtype=np.float32), 1, 2)
assert res[0].shape == (1,)

print("The results are: ",res)


assert res[0][0] == 0, "cosine distance is not being used"