import itertools

with open("dicts/mhyph.txt", "r", encoding = "macroman", newline = "\r\n") as f:
    hyph_words = set(tuple(l.split("•")) for l in f.read().splitlines())

with open("dicts/unigram_freq.csv", "r") as f:
    goog_words = set((w, int(f)) for w, f in
        itertools.islice((l.split(",") for
            l in f.read().splitlines()), 1, None))

hyph_map = {"".join(x) : x for x in hyph_words}

words = dict()
for w, f in sorted(goog_words, key = lambda w: w[1], reverse = True):
    hw = hyph_map.get(w)
    if hw:
        words[w] = (f, hw)

for w, (f, hw) in words.items():
    print("{},{},{}".format(w, f, "=".join(hw)))