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// simplevm.c: demonstrates Hypervisor.Framework usage in Apple Silicon | |
// Based on the work by @zhuowei | |
// @imbushuo - Nov 2020 | |
// To build: | |
// Prepare the entitlement with BOTH com.apple.security.hypervisor and com.apple.vm.networking WHEN SIP IS OFF | |
// Prepare the entitlement com.apple.security.hypervisor and NO com.apple.vm.networking WHEN SIP IS ON | |
// ^ Per @never_released, tested on 11.0.1, idk why | |
// clang -o simplevm -O2 -framework Hypervisor -mmacosx-version-min=11.0 simplevm.c | |
// codesign --entitlements simplevm.entitlements --force -s - simplevm |
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#!/usr/bin/env bash | |
# Fork of zrzk's tot.sh https://gist.github.com/zrzka/5948256ac72c3f3820aebff1fb4b1b70 | |
# which is a fork of gruber's tot.sh https://gist.github.com/gruber/b18d8b53385fa612713754799ed4d0a2 | |
# which is a fork of chockenberry's tot.sh https://gist.github.com/chockenberry/d33ef5b6e6da4a3e4aa9b07b093d3c23 | |
# Add possibility to access dots by default color names in addition to numbers and | |
# access first empty dot by 'empty' in addition to 0. | |
# Exit immediately if a pipeline returns a non-zero status. |
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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle as pickle | |
import gym | |
from chainer import cuda | |
import cupy as cp | |
import time, threading | |
#backend |
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#!/bin/bash | |
# Install CUDA Toolkit v9.0 | |
# Instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network)) | |
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub | |
CUDA_REPO_PKG="cuda-repo-ubuntu1604_9.0.176-1_amd64.deb" | |
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG} | |
sudo dpkg -i ${CUDA_REPO_PKG} | |
sudo apt-get update | |
sudo apt-get -y install cuda-9-0 |
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#!/usr/bin/env python | |
# encoding: utf-8 | |
""" | |
mt940toOFX.py - Dieses Progrtamm liesst MT940 SWIFT Kontostände und konvertiert sie in OFX. | |
OFX wurde mit xero.com getestet. | |
Created by Maximillian Dornseif on 2010-06-05. | |
Copyright (c) 2010, 2013, 2014 HUDORA. All rights reserved. | |
""" |
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#!/bin/bash | |
## | |
## FROM https://github.com/floydhub/dl-docker | |
## | |
## Before running the script change versions and compilation flags below. | |
## If you're having trouble running the whole script, try running | |
## each command separately. | |
## | |
## List of compiled tensorflow packages https://github.com/yaroslavvb/tensorflow-community-wheels/issues |
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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle as pickle | |
import gym | |
# hyperparameters | |
H = 200 # number of hidden layer neurons | |
batch_size = 10 # every how many episodes to do a param update? | |
learning_rate = 1e-4 | |
gamma = 0.99 # discount factor for reward |