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#!/usr/bin/env python
# coding: utf-8
# module for http benchmarking using wrk
# example command like
# ./wrk.py --connections '[1,2,3,4]' --filename ./benchmark_qa/query.json  --url http://x.y.z.k/hello.php --output 1.csv --duration 600

import subprocess
import tempfile
import urlparse
from contextlib import contextmanager

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#include <boost/flyweight.hpp>
#include <boost/multi_index_container.hpp>
#include <boost/multi_index/member.hpp>
#include <string>
#include <cstdint>
#include <vector>
#include <iostream>
#include <tuple>

typedef std::tuple<short, std::uint8_t, std::uint8_t> Date;

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#include <boost/flyweight.hpp>
#include <boost/multi_index_container.hpp>
#include <boost/multi_index/member.hpp>
#include <string>
#include <cstdint>
#include <vector>
#include <iostream>
#include <tuple>

typedef std::tuple<short, std::uint8_t, std::uint8_t> Date;

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#include <boost/flyweight.hpp>
#include <boost/multi_index_container.hpp>
#include <boost/multi_index/member.hpp>
#include <string>
#include <cstdint>
#include <vector>
#include <iostream>
#include <tuple>

typedef std::tuple<short, std::uint8_t, std::uint8_t> Date;

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name: "LNet"
input: "data"
input_dim: 1
input_dim: 15
input_dim: 24
input_dim: 24

layer {
  name: "slicer_data"
  type: "Slice"

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name: "DeepFace_set003_net"
input: "data"
input_dim: 1
input_dim: 1
input_dim: 128
input_dim: 128

layer{
  name: "conv1"
  type: "Convolution"

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import javafx.application.Platform;
import javafx.embed.swing.JFXPanel;
import javafx.scene.Group;
import javafx.scene.Scene;

import javax.swing.*;

/**
 * A custom {@link java.applet.Applet Applet} that sets-up a JavaFX environment.
 */

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linux.img
.lock
record
.gdbinit

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.built-in.o.cmd
.hello.ko.cmd
.hello.mod.o.cmd
.hello.o.cmd
.tmp_versions/
Module.symvers
hello.ko
hello.mod.c
modules.order