mirror of
https://github.com/osmarks/random-stuff
synced 2024-11-12 23:29:55 +00:00
30 lines
1.0 KiB
Python
30 lines
1.0 KiB
Python
import json, math, random
|
|
N_bits = 14
|
|
X_bits = 2 ** 14
|
|
with open("compr.json", "r") as f:
|
|
with open("freqs.json", "w") as g:
|
|
rawfreqs = { int(k): v for k, v in json.load(f)["frequencies"].items() }
|
|
for i in range(1024):
|
|
if i not in rawfreqs:
|
|
rawfreqs[i] = 1
|
|
bpe_freqs = sorted(rawfreqs.items(), key=lambda x: x[1])
|
|
total = sum(map(lambda x: x[1], bpe_freqs))
|
|
table = { k[0]: 1 for k in bpe_freqs }
|
|
for i, freq in bpe_freqs:
|
|
val = max(freq / total * X_bits - 1, 0)
|
|
print(val)
|
|
n = math.floor(val)
|
|
q = val - n
|
|
x = n + (random.random() < q)
|
|
table[i] += x
|
|
diff = X_bits - sum(table.values())
|
|
adjust = random.choices(list(filter(lambda x: table[x] > 1, range(1024))), k=abs(diff))
|
|
if diff > 0:
|
|
for a in adjust:
|
|
table[a] += 1
|
|
elif diff < 0:
|
|
for a in adjust:
|
|
table[a] -= 1
|
|
|
|
print(diff, sum(table.values()))
|
|
json.dump(table, g) |