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#!/usr/bin/env python
import os
import docx2txt

from absl import app
from absl import flags

FLAGS = flags.FLAGS
flags.DEFINE_string("output", "output.txt", "The path of final output.")
flags.DEFINE_string("source", None, "The source path to process.")

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number of messages 2:
fingerprint 388: 4, 1024: 8
number of messages 4:
fingerprint 388: 4, 448: 6, 1024: 8, 1025: 8
number of messages 9:
fingerprint 274: 2, 388: 4, 448: 6, 752: 2, 817: 8, 906: 8, 924: 8, 1024: 8, 1025: 8
number of messages 14:
fingerprint 274: 2, 388: 4, 448: 6, 520: 8, 532: 8, 564: 8, 752: 2, 817: 8, 906: 8, 924: 8, 937: 8, 996: 8, 1024: 8, 1025: 8
number of messages 18:

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#!/usr/bin/env python
#!pip install sklearn xgboost
#!wget https://raw.githubusercontent.com/jbrownlee/Datasets/master/pima-indians-diabetes.data.csv

from numpy import loadtxt
from xgboost import XGBClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score

import pprint

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# Modified from: https://github.com/xeb/fastText-docker/blob/master/Dockerfile
# To build & run, do:
#  docker build -t fasttext-py3.5 -f Dockerfile.py35 .
#  docker run --rm -it fasttext-py3.5 ./eval.py
# 
FROM python:3.5
RUN apt-get update && apt-get install -y \
        build-essential \
        wget \
        git \

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# Dockerfile to reproduce Issue 114 for TensorFlow Serving
# https://github.com/tensorflow/serving/issues/114
# Base Dockerfile from: https://github.com/tensorflow/serving/blob/master/tensorflow_serving/tools/docker/Dockerfile.devel
# To demonstrate this, just build the container & then run it:
# $ docker build -t tfserv_114 .
# $ docker run -it tfserv_114

FROM ubuntu:14.04

RUN apt-get update && apt-get install -y \

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Remove unused images

docker rmi $(docker images --filter "dangling=true" -q --no-trunc)

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# -*- mode: ruby -*-
# vi: set ft=ruby :

Vagrant.configure(2) do |config|

  config.vm.box = "ubuntu/xenial64"
  #config.vm.box = "bento/centos-7.2"
  #config.vm.box_url = "https://atlas.hashicorp.com/bento/boxes/centos-7.2"
  config.vm.network "forwarded_port", guest: 5000, host: 5000
  config.vm.synced_folder "scripts", "/home/vagrant/scripts"

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SSH Reverse Proxy

Some simple notes to setup SSH reverse proxy

1. on source machine (behind the network), run: ssh -N -R 2222:localhost:22 YOURUSER@YOURSERVER

2. on YOURSERVER, run: ssh -l SOURCEUSER -p 2222 localhost

3. If you want to automated it, do something like...

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#!/bin/bash
sudo -H pip install --upgrade https://storage.googleapis.com/tensorflow/mac/tensorflow-0.6.0-py2-none-any.whl  --ignore-installed six

# Modified install command from: https://www.tensorflow.org/versions/master/get_started/os_setup.html

# See: https://github.com/pypa/pip/issues/3165
# Because Apple has preinstalled the dependency Six that cannot be removed

# Some of the errors I experienced were the following:
# [Errno 1] Operation not permitted: '/tmp/pip-BriGIp-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib

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#!/bin/bash
# from: http://apple.stackexchange.com/questions/9064/how-to-i-go-from-flac-to-mp3-using-lame-flac-using-the-terminal-alone

for f in "$@"; do
    [[ "$f" != *.flac ]] && continue
    album="$(metaflac --show-tag=album "$f" | sed 's/[^=]*=//')"
    artist="$(metaflac --show-tag=artist "$f" | sed 's/[^=]*=//')"
    date="$(metaflac --show-tag=date "$f" | sed 's/[^=]*=//')"
    title="$(metaflac --show-tag=title "$f" | sed 's/[^=]*=//')"
    year="$(metaflac --show-tag=date "$f" | sed 's/[^=]*=//')"