sailfish009

import os
import sys
import traceback
from functools import wraps
from multiprocessing import Process, Queue


def processify(func):
    '''Decorator to run a function as a process.
    Be sure that every argument and the return value

sailfish009

"""
Example of setting up CORS with Bottle.py.
"""

from bottle import Bottle, request, response, run
app = Bottle()

@app.hook('after_request')
def enable_cors():
    """

sailfish009

// 
// Example of communication with a subprocess via stdin/stdout
// Author: Konstantin Tretyakov
// License: MIT
//

#include <ext/stdio_filebuf.h> // NB: Specific to libstdc++
#include <sys/wait.h>
#include <unistd.h>
#include <iostream>

sailfish009

#
# Hadoop:: KafkaSpark
# Recipe:: Kafka and Spark
#
# Copyright (C) 2015 Cloudwick labs
# Contact :: [email protected]
# All rights reserved - Do Not Redistribute
#

#One machine is required as below mentioned steps are for POC purpose only.

sailfish009

import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.autograd import Variable
from torch import optim
import numpy as np
import math, random

# Generating a noisy multi-sin wave 

sailfish009

#!/bin/bash

# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"

# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub && sudo apt update
sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

sailfish009

using System;
using System.Diagnostics;
using System.Text;
using System.Threading.Tasks;

public static class ProcessAsyncHelper
{
    public static async Task<ProcessResult> ExecuteShellCommand(string command, string arguments, int timeout)
    {
        var result = new ProcessResult();

sailfish009

/*
Purpose of node: subscribe to a point cloud, use a VoxelGrid filter on it with a setting that
clobbers voxels with fewer than a threshold of points.
*/

#include <ros/ros.h>
#include <pcl_ros/point_cloud.h>
#include <pcl/point_types.h>
#include <iostream>
#include <pcl/filters/voxel_grid.h>

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/*
 * The binary gcd algorithm using iteration.
 * Should be fairly fast.
 *
 * Put in the public domain by the author:
 *
 * Christian Stigen Larsen
 * http://csl.sublevel3.org
 */
int binary_gcd(int u, int v)

sailfish009

#ifdef _MSC_VER
#include <intrin.h>

static inline int __builtin_ctz(uint32_t x) {
    unsigned long ret;
    _BitScanForward(&ret, x);
    return (int)ret;
}

static inline int __builtin_ctzll(unsigned long long x) {