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import time

import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Generate sample data
def generate_data():
    np.random.seed(42)

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import sys
import time
import json
from pathlib import Path

import pandas as pd
import requests
from bs4 import BeautifulSoup

# Creo un set: https://docs.python.org/3/tutorial/datastructures.html#sets

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id;first_name;last_name;year_of_birth;gender;email;assignments
1;John;Doe;2000;M;[email protected];12
2;Jane;Smith;2001;F;[email protected];8
3;Sarah;Thomas;2000;F;[email protected],1
4;Frank;Brown;2000;M;[email protected];3
8;Mike;Davis;1999;M;[email protected];4
9;Jennifer;Wilson;2002;F;[email protected];3
10;Jessica;Garcia;2000;F;[email protected];4
11;Jane;Clark;2001;F;[email protected];
12;Bob;Lopez;2000;M;[email protected];1

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# Implement a file named linked_lists.py
from linked_lists import LinkedList, Node

# Part 1 - tests for the nodes of a linked list

head_node = Node("Napoli")

assert head_node.next is None

head_node.next = Node("Rome")

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#!/usr/bin/env bash

screen -dmS cam ffmpeg -i /dev/video2 -f v4l2 -pix_fmt yuv420p -filter:v "hflip,crop=460:320:100:120" -an /dev/video5

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#!/usr/bin/env bash

set -o pipefail
set -o errexit
set -o nounset

dir1=${1:-}
dir2=${2:-}

usage() {

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.PHONY: default clean deps

ENV=.env
_PYTHON=python3
PYTHON_VERSION=$(shell ${_PYTHON} -V | cut -d " " -f 2 | cut -d "." -f1-2)
SITE_PACKAGES=${ENV}/lib/python${PYTHON_VERSION}/site-packages
PYTHON=${ENV}/bin/python3
IN_ENV=source ${ENV}/bin/activate ;

default: deps

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#include <stdio.h>
#include <stdlib.h>
#include <limits.h>

int
count_bits(int n)
{
	int l, c;
	l = 0;
	c = 0;

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#!/usr/bin/env python
from __future__ import print_function, unicode_literals

import six
import json
import argparse
from collections import defaultdict

from six.moves.urllib.parse import urlencode, urlparse