Yolobit - Search

def index_document(self, doc_id, text): tokens = set(text.lower().split()) for token in tokens: if token not in self.index: # Create a zero-vector of size N self.index[token] = np.zeros(self.num_docs, dtype=np.bool_)

Since "Yolobit" is not a widely recognized standard term in computer science or major search engine architectures, this write-up assumes (often associated with niche projects, CTF challenges, or experimental information retrieval systems). yolobit search

# Extract indices where bit is 1 matching_doc_ids = np.where(result_vector)[0] return matching_doc_ids def index_document(self, doc_id, text): tokens = set(text

class YolobitIndex: def __init__(self, num_docs): self.num_docs = num_docs # Store bitmaps as numpy arrays for fast bitwise ops self.index = {} yolobit search