arivero

import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt

def create_synthetic_data(input_dim=1024, num_samples=10000):
    num_classes = input_dim 
    y = np.random.randint(0, num_classes, size=(num_samples,))
    y= tf.keras.utils.to_categorical(y, num_classes)
    X = y
    return X, y

arivero

#!/bin/bash

# IMPORTANT: Don't forget to logout from your Apple ID in the settings before running it!
# IMPORTANT: You will need to run this script from Recovery. In fact, macOS Catalina brings read-only filesystem which prevent this script from working from the main OS.
# This script needs to be run from the volume you wish to use.
# E.g. run it like this: cd /Volumes/Macintosh\ HD && sh /Volumes/Macintosh\ HD/Users/sabri/Desktop/disable.sh
# WARNING: It might disable things that you may not like. Please double check the services in the TODISABLE vars.

# Get active services: launchctl list | grep -v "\-\t0"
# Find a service: grep -lR [service] /System/Library/Launch* /Library/Launch* ~/Library/LaunchAgents

arivero

LEGO Move Hub
8E552B7A-1B9E-4F4D-A0AE-7D585F784B73

advertisementData: ["kCBAdvDataIsConnectable": 1, "kCBAdvDataTxPowerLevel": 0, "kCBAdvDataLocalName": LEGO Move Hub]

00001623-1212-EFDE-1623-785FEABCD123 []
	00001624-1212-EFDE-1623-785FEABCD123 ["read", "writeWithoutResponse", "write", "notify"] <0f00043c 01140002 00000002 000000> ["Client Characteristic Configuration <0100>"]

Notification Log:
1502201043.29111 - 00001624-1212-EFDE-1623-785FEABCD123 isNotifying: true

arivero

60440
9350
8000
5690
5550
4930
4790
4460
3490
2850

arivero

#!/bin/bash

# IMPORTANT: Don't forget to logout from your Apple ID in the settings before running it!
# IMPORTANT: You will need to run this script from Recovery. In fact, macOS Catalina brings read-only filesystem which prevent this script from working from the main OS.
# This script needs to be run from the volume you wish to use.
# E.g. run it like this: cd /Volumes/Macintosh\ HD && sh /Volumes/Macintosh\ HD/Users/sabri/Desktop/disable.sh
# WARNING: It might disable things that you may not like. Please double check the services in the TODISABLE vars.

# Get active services: launchctl list | grep -v "\-\t0"
# Find a service: grep -lR [service] /System/Library/Launch* /Library/Launch* ~/Library/LaunchAgents

arivero

#!/usr/bin/env python
# coding: utf-8

# In[1]:
from scipy.optimize import leastsq,curve_fit
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

def logcorrected(x,s0,k0,dk,mu,i0,v):

arivero

#!/usr/bin/env python
# coding: utf-8

# In[1]:


import pandas as pd
dataframe=pd.read_csv("https://covid19.isciii.es/resources/serie_historica_acumulados.csv", skipfooter=3, engine="python", encoding='iso8859')

arivero

# LVDB - LLOOGG Memory DB
# Copyriht (C) 2009 Salvatore Sanfilippo <[email protected]>
# All Rights Reserved

# TODO
# - cron with cleanup of timedout clients, automatic dump
# - the dump should use array startsearch to write it line by line
#   and may just use gets to read element by element and load the whole state.
# - 'help','stopserver','saveandstopserver','save','load','reset','keys' commands.
# - ttl with milliseconds resolution 'ttl a 1000'. Check ttl in dump!

arivero

$ apt-get update && apt-get upgrade --assume-yes
$
$ pip3 install frida-tools
$ pip3 install objection
$
$ sudo apt-get install android-tools-adb android-tools-fastboot
$
$ wget wget https://github.com/frida/frida/releases/download/12.7.0/frida-server-12.7.0-android-arm64.xz
$ unxz frida-server-12.7.0-android-arm64.xz

arivero

import hashlib
import timeit
def slow(z,f,i):
    s=hashlib.sha3_512(i.to_bytes(8,'big'))
    for x in range(z): s.update(s.digest()*f)
    return s.digest()
initcode="""
import concurrent.futures
from functools import partial
executorT = concurrent.futures.ThreadPoolExecutor()