camilajenny

camilajenny

import java.util.concurrent.RecursiveTask;

public class ArraySumCalculator extends RecursiveTask<Long> {
    private static final int THRESHOLD = 1000; // Threshold for splitting the array
    private final int[] array;
    private final int start;
    private final int end;

    public ArraySumCalculator(int[] array, int start, int end) {
        this.array = array;

camilajenny

import java.util.concurrent.CountDownLatch;
import java.util.Random;
import java.util.logging.Level;
import java.util.logging.Logger;

class Participant implements Runnable {
    private final CountDownLatch latch;
    private final Random random = new Random();
    private long id;
    private static final Logger LOGGER = Logger.getLogger(Participant.class.getName());

camilajenny

function sheetName() {
  var spreedsheet = SpreadsheetApp.getActiveSpreadsheet();
  const monthNames = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];

  const monthSheets = monthNames.map(name => spreedsheet.getSheetByName(name));

  const COLUMN_START = 6;
  const DAYS_COUNT = 31;

  for(var i=0; i < monthSheets.length; i++) {

camilajenny

from api import get_api

import time

start_time = time.time()

api = get_api()

f = open('duplicates-logs.txt', 'w')

camilajenny

function numberToLetter(number){
  var temp = "" 
  var letter = "";
  while (number > 0){
    temp = (number - 1) % 26;
    letter = String.fromCharCode(temp + 65) + letter;
    number = (number - temp - 1) / 26;
  }
  return letter;
}

camilajenny

camilajenny

class Docking:
    """
    Implementacje:
    * oddt.docking.autodock_vina
    * custom engine         }
    * oddt.docking.rdock    } nowe klasy
    """
    def set_protein(self, protein): pass

    def set_writer(self, writer): # writer of type MolWriter

camilajenny

#!/usr/bin/env bash

rm -f mine/tests/*.out
for f in tests/*.in
do
 ./pol < $f > mine/$f
 # do something on $f
done

cd mine/tests

camilajenny

import numpy as np
import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.gca(projection='3d')
theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
z = np.linspace(-2, 2, 100)
r = z**2 + 1
x = r * np.sin(theta)
y = r * np.cos(theta)