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import java.util.*;

public class Fibonacci
{
    private HashMap <Integer,Double> fibo_results;
    private int number;
    private boolean fast_mode;
    private boolean cache_mode;

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#!/usr/bin/env python3
# -*- coding: UTF-8 -*-

import sys
import requests  # http://docs.python-requests.org/en/master/
from bs4 import BeautifulSoup  # http://www.crummy.com/software/BeautifulSoup/

# OpenNIC url
url = 'https://servers.opennicproject.org'

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# -*- coding: utf-8 -*-
"""Generic linux daemon base class for python 3.x."""

import os
import sys
import time
import atexit
import signal
import logging

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#
#    smartcard_list.txt
#    Copyright (C) 2002-2018  Ludovic Rousseau
#
#    This program is free software; you can redistribute it and/or modify
#    it under the terms of the GNU General Public License as published by
#    the Free Software Foundation; either version 2 of the License, or
#    (at your option) any later version.
#
#    This program is distributed in the hope that it will be useful,

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

import logging
from tornado import httpserver, ioloop, netutil, process, web, options

# app's title
__title__ = 'Example'

options.define('port', default=8080, help='run on the given port', type=int)

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# -*- coding: UTF-8 -*-

import os
import csv
import logging

logger = logging.getLogger(__name__)


def read_csv(file: str = 'in.csv', skip_title: bool = True):

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# -*- coding: utf-8 -*-

import collections


def dict_merge(dct: dict, merge_dct: dict):
    """ Recursive dict merge. Inspired by :meth:``dict.update()``, instead of
    updating only top-level keys, dict_merge recurses down into dicts nested
    to an arbitrary depth, updating keys. The ``merge_dct`` is merged into
    ``dct``.

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# -*- coding: utf-8 -*-

import time
import threading


class ThreadedClass(object):
    """ Threading example class.

    The run() method will be started and it will run in the background

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# -*- coding: utf-8 -*-

import os
import json
import logging
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText

logger = logging.getLogger(__name__)

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

import os
import csv
import psycopg2

# Connection details:
dbname = 'sampledb'
user = 'postgres'