liufuyang

import org.junit.Test;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;

import org.slf4j.Logger;

liufuyang

package fastlen

import (
	"math/rand"
	"strconv"
	"testing"
)

func LenUint64A(x uint64) int {
	return len(strconv.FormatUint(x, 10))

liufuyang

import org.datavec.api.records.reader.RecordReader;
import org.datavec.api.records.reader.impl.csv.CSVRecordReader;
import org.datavec.api.split.FileSplit;
import org.datavec.api.util.ClassPathResource;
import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator;
import org.deeplearning4j.eval.Evaluation;
import org.deeplearning4j.nn.api.OptimizationAlgorithm;
import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.nn.conf.Updater;

liufuyang

#!/bin/bash
set -e

PYTHON_ENV_NAME=venv

pip3 install virtualenv

virtualenv -p python3 $PYTHON_ENV_NAME

echo "source $(pwd)/$PYTHON_ENV_NAME/bin/activate" > .env

liufuyang

#!/bin/bash
# save this file as tailc then
# run as: $ tailc logs/supplier-matching-worker.log Words_to_highlight
file=$1

if [[ -n "$2" ]]; then
    color='
    // {print "\033[37m" $0 "\033[39m"}
    /(WARN|WARNING)/ {print "\033[1;33m" $0 "\033[0m"}
    /(ERROR|CRIT)/ {print "\033[1;31m" $0 "\033[0m"}