optman

#include <iostream>
#include <thread>
#include <chrono>
#include <deque>

using Params = std::shared_ptr<int>; 

thread_local Params tls_params;

using Queue = std::deque<Params>;

optman

package main

import (
	"flag"
	"github.com/hashicorp/yamux"
	"io"
	"log"
	"net"
	"sync"
)

optman

use futures::future;
use futures::io::{self, AsyncReadExt, AsyncWriteExt};
use async_std::net::{TcpListener, TcpStream};
use async_std::prelude::*;
use async_std::task;
use std::sync::Arc;
use yamux;
use clap::{Arg, App};

optman

server:
     interface: 0.0.0.0
     access-control: 0.0.0.0/0 allow
     verbosity: 1
     do-tcp: yes                                    #enable tcp listening
     tcp-upstream: no                               #chinadns not support tcp
     module-config: "iterator"                      #disable dnssec validator
     do-not-query-localhost: no                     #enable forward to localhost
forward-zone:
     name: "."

optman

podman pull docker.io/dockcross/linux-mipsel

podman run -ti --rm  -v `pwd`:/work docker.io/dockcross/linux-mipsel bash

git clone chinadns, libressl, minivutn ....

chinadns
./configure --host mipsel-linux-gnu-
make

optman

au FileType python setlocal tags+=~/.vim/tags/pylibs.tags

optman

archivemount mydoc.tar ~/tmp
fusermount -u ~/tmp

or

mc

optman

#fork from https://github.com/jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
#minor fix, simpler model and normalize algorithm

import os
import time
import warnings
import numpy as np
from numpy import newaxis
from keras.layers.core import Dense, Activation, Dropout
from keras.layers.recurrent import LSTM

optman

/opt/graphite/conf/storage-schemas.conf

[default]
pattern = .*
retentions = 10s:6h,10min:180d,1h:10y

/opt/graphite/storage/whisper/stats/gauges/..../2.wsp

whisper-info.py 2.wsp

optman

FROM ubuntu:14.04

RUN sudo apt-get update && apt-get -y install python-dev python-pip libopenblas-dev liblapack-dev libatlas-dev libblas-dev gfortran

RUN sudo pip install keras

RUN sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0-cp27-none-linux_x86_64.whl