Update app.py

app.py

@@ -1,130 +1,3 @@
-import itertools
-import math
-import time
-import os
-from multiprocessing import Pool
-from mnemonic import Mnemonic
-from eth_account import Account
-
-Account.enable_unaudited_hdwallet_features()
-
-# ============================================================
-words = [
-    "lesson", "cushion", "crane", "affair", "federal",
-    "decline", "limb", "spend", "reunion", "chief", "cart", "zebra"
-]
-
-ADDRESSES_FILE = "12730802_addresses.csv"
-NUM_WORKERS = 48
-BATCH_SIZE = 2000
-CHECKSUM_PREFILTER = True    # True = checksum verify (fast filter), False = skip
-# ============================================================
-
-_MNEMONIC = None
-
-def get_mnemonic():
-    global _MNEMONIC
-    if _MNEMONIC is None:
-        _MNEMONIC = Mnemonic("english")
-    return _MNEMONIC
-
-
-def load_addresses(path):
-    """Lowercase, 0x ke baghair, 40-char addresses ka set."""
-    s = set()
-    with open(path, "r", encoding="utf-8") as f:
-        for line in f:
-            a = line.strip().strip('"').strip("'").lstrip("\ufeff").lower()
-            if a.startswith("0x"):
-                a = a[2:]
-            if a and len(a) == 40:
-                s.add(a)
-    return frozenset(s)
-
-
-def normalize(addr):
-    a = addr.strip().lower()
-    if a.startswith("0x"):
-        a = a[2:]
-    return a
-
-
-_KNOWN = None
-
-def init_worker(known):
-    global _KNOWN
-    _KNOWN = known
-    get_mnemonic()       # warm-up
-
-
-def process_batch(batch):
-    hits = []
-    known = _KNOWN
-    mnemo = get_mnemonic()
-    for phrase in batch:
-        if CHECKSUM_PREFILTER and not mnemo.check(phrase):
-            continue
-        try:
-            acct = Account.from_mnemonic(phrase)
-        except Exception:
-            continue
-        if normalize(acct.address) in known:
-            hits.append((phrase, acct.address, acct.key.hex()))
-    return hits
-
-
-def batch_generator():
-    batch = []
-    for perm in itertools.permutations(words):
-        batch.append(" ".join(perm))
-        if len(batch) >= BATCH_SIZE:
-            yield batch
-            batch = []
-    if batch:
-        yield batch
-
-
-def main():
-    if not os.path.exists(ADDRESSES_FILE):
-        raise SystemExit(f"File nahi mili: {ADDRESSES_FILE}")
-
-    total = math.factorial(len(words))   # 479,001,600
-    print(f"\nMode: order (permutations) | Total: {total:,} | Workers: {NUM_WORKERS}")
-    print(f"Batch size: {BATCH_SIZE} | Checksum prefilter: {CHECKSUM_PREFILTER}\n")
-
-    print("Addresses load ho rahe hain...")
-    known = load_addresses(ADDRESSES_FILE)
-    print(f"Loaded {len(known):,} addresses\n")
-
-    matches = []
-    done = 0
-    start = time.time()
-    last_log = start
-
-    with Pool(processes=NUM_WORKERS,
-              initializer=init_worker,
-              initargs=(known,)) as pool:
-        for hits in pool.imap_unordered(process_batch, batch_generator(), chunksize=4):
-            done += BATCH_SIZE
-            for phrase, addr, key in hits:
-                print(f"\n🎉 MATCH FOUND!")
-                print(f"Phrase : {phrase}")
-                print(f"Address: {addr}")
-                print(f"Key    : {key}\n")
-                matches.append((phrase, addr, key))
-
-            now = time.time()
-            if now - last_log >= 5:
-                elapsed = now - start
-                rate = done / elapsed if elapsed else 0
-                eta = (total - done) / rate if rate else 0
-                print(f"  ...{done:,}/{total:,} ({100*done/total:.1f}%)  "
-                      f"{rate:,.0f}/s  ETA {eta/60:.1f}min")
-                last_log = now
-
-    elapsed = time.time() - start
-    print(f"\nDone {elapsed/60:.1f} min. {len(matches)} match(es).")
-
-
-if __name__ == "__main__":
-    main()
+import bip39
+seed = bip39.bip39_to_seed("lesson cushion crane affair federal decline limb spend reunion chief cart zebra", "")
+print(seed.hex()[:32])