dcalsky

smileboywtu

Not all random values are created equal - for security-related code, you need a specific kind of random value.

A summary of this article, if you don't want to read the entire thing:

• Don't use Math.random(). There are extremely few cases where Math.random() is the right answer. Don't use it, unless you've read this entire article, and determined that it's necessary for your case.
• Don't use crypto.getRandomBytes directly. While it's a CSPRNG, it's easy to bias the result when 'transforming' it, such that the output becomes more predictable.
• If you want to generate random tokens or API keys: Use uuid, specifically the uuid.v4() method. Avoid node-uuid - it's not the same package, and doesn't produce reliably secure random values.
• If you want to generate random numbers in a range: Use random-number-csprng.

You should seriously consider reading the entire article, though - it's

dhagrow

"""
Python is a dynamic language, and it is relatively easy to dynamically create
and modify things such as classes and objects. Functions, however, are quite
challenging to create dynamically.

One area where we might want to do this is in an RPC library, where a function
defined on a server needs to be available remotely on a client.

The naive solution is to simply pass arguments to a generic function that
accepts `*args` and `**kwargs`. A lot of information is lost with this approach,

tegansnyder

I’m looking for any tips or tricks for making chrome headless mode less detectable. Here is what I’ve done so far:

Set my args as follows:

const run = (async () => {

    const args = [
        '--no-sandbox',
        '--disable-setuid-sandbox',
        '--disable-infobars',

folt

Name: Flash 
Serial: eNrzzU/OLi0odswsqnHLSSzOqDGoca7JKCkpsNLXLy8v1ytJTczVLUotKNFLzs8FAJHYETc=

if anyone wants to thank ETH: 0x527c2aB55b744D6167dc981576318af96ed26676
Thank you!

luckydev

# maximum capability of system
user@ubuntu:~$ cat /proc/sys/fs/file-max
708444

# available limit
user@ubuntu:~$ ulimit -n
1024

# To increase the available limit to say 200000
user@ubuntu:~$ sudo vim /etc/sysctl.conf

orenitamar

# Below are the dependencies required for installing the common combination of numpy, scipy, pandas and matplotlib 
# in an Alpine based Docker image.
FROM alpine:3.4
RUN echo "http://dl-8.alpinelinux.org/alpine/edge/community" >> /etc/apk/repositories
RUN apk --no-cache --update-cache add gcc gfortran python python-dev py-pip build-base wget freetype-dev libpng-dev openblas-dev
RUN ln -s /usr/include/locale.h /usr/include/xlocale.h
RUN pip install numpy scipy pandas matplotlib

swayson

"""
Specifically, the Kullback–Leibler divergence from Q to P, denoted DKL(P‖Q), is
a measure of the information gained when one revises one's beliefs from the
prior probability distribution Q to the posterior probability distribution P. In
other words, it is the amount of information lost when Q is used to approximate
P.
"""
import numpy as np
from scipy.stats import entropy

joepie91

Not all random values are created equal - for security-related code, you need a specific kind of random value.

A summary of this article, if you don't want to read the entire thing:

• Don't use Math.random(). There are extremely few cases where Math.random() is the right answer. Don't use it, unless you've read this entire article, and determined that it's necessary for your case.
• Don't use crypto.getRandomBytes directly. While it's a CSPRNG, it's easy to bias the result when 'transforming' it, such that the output becomes more predictable.
• If you want to generate random tokens or API keys: Use uuid, specifically the uuid.v4() method. Avoid node-uuid - it's not the same package, and doesn't produce reliably secure random values.
• If you want to generate random numbers in a range: Use random-number-csprng.

You should seriously consider reading the entire article, though - it's

mondain

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