Mcilie

# ReachView code is placed under the GPL license.
# Written by Egor Fedorov (egor.fedorov@emlid.com)
# Copyright (c) 2015, Emlid Limited
# All rights reserved.

# If you are interested in using ReachView code as a part of a
# closed source project, please contact Emlid Limited (info@emlid.com).

# This file is part of ReachView.

Mcilie

from flask import Flask
app = Flask(__name__)
@app.route("/")
def home():
  return "resonance"
app.run()

Mcilie

m = 'tjctf{?????????????????}'.lower()
k = 'm???????'.lower()

f = [[ord(k[a]) ^ ord(m[a+b]) for a in range(8)] for b in range(0, len(m), len(k))]
print("F",f)
g = [a for b in f for a in b]
print("G",g)
h = [[g[a] for a in range(b, 24, 8)] for b in range(8)]
print("h",h)
i = [[h[b][a] ^ ord(k[a]) for a in range(3)] for b in range(8)]

Mcilie

------- FS_Init -------
Current search path:
./baseq2/pak0.pak (1000 files)
./baseq2
1000 files in PAK files
-----------------------
Execing default.cfg
Unknown command "viewsize"
Unknown command "sensitivity"
Unknown command "crosshair"

Mcilie

import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import *
import numpy as np
(x_train, y_train), (x_test, y_test) = mnist.load_data()
print(x_train)
x_test = np.expand_dims(x_test, -1)
x_train = np.expand_dims(x_train, -1)
print(x_train)

Mcilie

import sys
import math 
import time


while True: