SercanKaraoglu

import re

r = re.compile(r"(?=\S*)([a-zA-Z0-9'-]+)((=|<|>)*(\d.*))?")

ref_table = {}

with open('~/Desktop/references.txt', 'r') as dep:
    lines = dep.readlines()
    lines.sort()
    for l in lines:

SercanKaraoglu

rsync --human-readable --progress --ignore-existing --recursive /from/path /to/path

SercanKaraoglu

rsync --human-readable --progress --ignore-existing --recursive /from/path /to/path

SercanKaraoglu

diskutil partitionDisk /dev/disk3 1 MBR jhfs+ partition 991.2G

SercanKaraoglu

pip config set global.cert /path/to/filename.pem

SercanKaraoglu

docker swarm init
docker node inspect ${ID}
docker node ls
docker node update --label-add app=true ${ID}
docker stack deploy -c .\docker-compose-stack.yml upp

SercanKaraoglu

Get-ChildItem -File -Recurse | % { $x = get-content -raw -path $_.fullname; $x -replace "`r`n","`n" | set-content -path $_.fullname }

SercanKaraoglu

package com.company;

import java.util.Collections;
import java.util.List;
import java.util.stream.IntStream;

import static java.util.stream.Collectors.joining;
import static java.util.stream.Collectors.toList;

public class SayisalLoto {

SercanKaraoglu

import org.reactivestreams.Subscriber;
import org.reactivestreams.Subscription;
import reactor.core.publisher.Flux;
import reactor.core.publisher.FluxSink;

import java.util.Arrays;
import java.util.Queue;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.stream.LongStream;

SercanKaraoglu

  ComputationGraphConfiguration conf = new NeuralNetConfiguration.Builder()
                .updater(Updater.ADAM).adamMeanDecay(0.9).adamVarDecay(0.999)
                .weightInit(WeightInit.XAVIER)
                .learningRate(0.01)
                .regularization(true).l2(0.01).l2Bias(0.01)
                .graphBuilder()
                .addInputs("in")
                .addLayer("dense0", new DenseLayer.Builder().nIn(inputSize).nOut(layerSize)
                        .activation(Activation.TANH)
                        .dropOut(0)