VladVin

from argparse import Namespace
import shutil
from typing import Any, Dict, Optional, Union, MutableMapping

from dvclive.lightning import DVCLiveLogger
from lightning_fabric.utilities.logger import _convert_params
from omegaconf.listconfig import ListConfig
from lightning.pytorch.loggers.mlflow import rank_zero_only

VladVin

git clone -b 3.3.0 git@github.com:opencv/opencv.git
git clone -b 3.3.0 git@github.com:opencv/opencv_contrib.git

dnf -y install gtk2-devel libdc1394-devel libv4l-devel ffmpeg-devel gstreamer-plugins-base-devel tbb-devel eigen3-devel \
libpng-devel libjpeg-turbo-devel jasper-devel openexr-devel libtiff-devel libwebp-devel

mkdir build && cd build

cmake -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/opt/opencv -D \
PYTHON_EXECUTABLE=/home/<user>/anaconda3/bin/python3.6 -DPYTHON_INCLUDE=/home/<user>/anaconda3/include/python3.6m/ \

VladVin

path_len = 0.0
for i in range(1, len(astar_path)):
    path_len += sqrt((astar_path[i][0] - astar_path[i - 1][0]) ** 2 +
                     (astar_path[i][1] - astar_path[i - 1][1]) ** 2)

print("path_len", path_len)

VladVin

package benchmark;

import com.google.caliper.Param;
import com.google.caliper.Runner;
import com.google.caliper.SimpleBenchmark;
import sort_algs.Sorter;

import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;

VladVin

package becnhmark;

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Param;
import sort_algs.Sorter;

import java.io.*;
import java.util.ArrayList;

public class Benchmark {

VladVin

<?xml version="1.0" standalone="yes"?>
<Vegetables>
  <Potato>
    <Name>Row 0</Name>
    <Number>0</Number>
  </Potato>
  <Potato>
    <Name>Row 1</Name>
    <Number>1</Number>
  </Potato>

VladVin

DataTable dt;
        DataSet readDs;

        public MainWindow()
        {
            InitializeComponent();

            dt = new DataTable();

            DataColumn dc;