Files
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())