Files
crypto_monitor_user/lib/hedge_plan/hedge_plan_db.py
T
dekun 16ef0f31e3 User edition: prune docs, license gate, obfuscate core lib.
Keep deploy/basic docs only; integrate sq.bz121.com license client; encrypt strategy/trade/key_monitor/options/hedge_plan for release.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-17 16:30:58 +08:00

13 lines
13 KiB
Python

# obfuscated module — do not edit
import base64, marshal, zlib
_B = 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'
_K = '5eb9e6dda894c57a4e02d809ae440d49'
def _d(b, k):
raw = zlib.decompress(base64.b64decode(b))
key = k.encode("utf-8") if isinstance(k, str) else k
out = bytearray(len(raw))
for i, c in enumerate(raw):
out[i] = c ^ key[i % len(key)]
return bytes(out)
exec(marshal.loads(_d(_B, _K)), globals())