rootfs

create minikube

The following create a minikube with 10 CPU cores and 32GB memory. This is for experiments with heavy workload.

It uses kvm hypervisor. Make sure the qemu and libvirt have already installed

minikube start --cpus 10 --memory 32GB --disk-size=400g --extra-disks=2 --driver=kvm2 --force --container-runtime cri-o

install prometheus and grafana

maxandersen

///usr/bin/env jbang "$0" "$@" ; exit $?
//DEPS info.picocli:picocli:4.5.0
//DEPS org.slf4j:slf4j-nop:1.7.30

//DEPS org.datavec:datavec-local:1.0.0-beta7

//DEPS joinery:joinery-dataframe:1.9
//DEPS org.apache.poi:poi:4.1.2

//DEPS tech.tablesaw:tablesaw-core:0.38.1

saudet

package org.deeplearning4j.examples.convolution.objectdetection;

import java.io.File;
import java.net.URI;
import java.net.URISyntaxException;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import org.bytedeco.javacv.CanvasFrame;
import org.bytedeco.javacv.OpenCVFrameConverter;

davecg

#!/usr/bin/env python3

'''
This will convert Keras 1 model weights and configurations
to their Keras 2 equivalent.  Please note that all optimizer
configuration is ignored with this script and models will 
need to be recompiled.
'''

import h5py

yograterol

"gcc: error: /usr/lib/rpm/redhat/redhat-hardened-cc1: No such file or directory" CentOS's and Fedora +22 workaround

Install `redhat-rpm-config`

$ sudo dnf install redhat-rpm-config

raymondchua

import java.util.PriorityQueue;
import java.util.HashSet;
import java.util.Set;
import java.util.List;
import java.util.Comparator;
import java.util.ArrayList;
import java.util.Collections;

public class AstarSearchAlgo{

ge0ffrey

Given List<String< scoreDrlList, how do we build a RuleBase/KieBase?

Drools 4 (building a RuleBase):

            PackageBuilder packageBuilder = new PackageBuilder();
            for (String scoreDrl : scoreDrlList) {
                InputStream scoreDrlIn = getClass().getResourceAsStream(scoreDrl);
                packageBuilder.addPackageFromDrl(new InputStreamReader(scoreDrlIn, "UTF-8"));
            }
            RuleBaseConfiguration ruleBaseConfiguration = new RuleBaseConfiguration();

hoheinzollern

import java.awt.Container;
import java.awt.GridLayout;
import java.util.ArrayList;

import javax.swing.JFrame;

import weka.clusterers.HierarchicalClusterer;
import weka.core.Attribute;
import weka.core.DenseInstance;
import weka.core.EuclideanDistance;

indy

// JAVA REFERENCE IMPLEMENTATION OF IMPROVED NOISE - COPYRIGHT 2002 KEN PERLIN.

public final class ImprovedNoise {
   static public double noise(double x, double y, double z) {
      int X = (int)Math.floor(x) & 255,                  // FIND UNIT CUBE THAT
          Y = (int)Math.floor(y) & 255,                  // CONTAINS POINT.
          Z = (int)Math.floor(z) & 255;
      x -= Math.floor(x);                                // FIND RELATIVE X,Y,Z
      y -= Math.floor(y);                                // OF POINT IN CUBE.
      z -= Math.floor(z);