def closest(tokens, search_vec, limit, offset=0):
    """Return the <limit> words from <tokens> whose vectors most closely
    resemble the search_vec. Skip the first <offset> results.
    """
    return sorted(tokens,
                  key=lambda x: cosine(search_vec, word_vec(x)),
                  reverse=True)[offset:offset+limit]
def closest(tokens, search_vec, limit, offset=0):
    """Return the <limit> words from <tokens> whose vectors most closely
    resemble the search_vec. Skip the first <offset> results.
    """
    return sorted(tokens,
                  key=lambda x: cosine(search_vec, word_vec(x)),
                  reverse=True)[offset:offset+limit]
def closest ( tokens , search_vec , limit , offset = 0 ) : return sorted ( tokens , key = lambda x : cosine ( search_vec , word_vec ( x ) ) , reverse = True ) [ offset : offset + limit ]
Return the <limit> words from <tokens> whose vectors most closely
    resemble the search_vec. Skip the first <offset> results.
Return the <limit > words from <tokens > whose vectors most closely resemble the search_vec . Skip the first <offset > results .