magdalini-anastasiadou

% Construction of a cobweb plot of the logistic map x_(n+1) = 2.8 * x_n * (1-x_n)
clear;
clc;

N = 100;
x = 0:1/N:1-1/N;
y = zeros(1, N);
for n = 1:N-1
    y(n) = 2.8*x(n)*(1-x(n));
end

magdalini-anastasiadou

import logging
import os
import re
import scipy.sparse
from typing import Any, Dict, List, Optional, Text, Type, Tuple, Set

import rasa.shared.utils.io
from rasa.shared.constants import DOCS_URL_COMPONENTS
import rasa.utils.io as io_utils
from sklearn.feature_extraction.text import TfidfVectorizer

magdalini-anastasiadou

#include <iostream>
#include <fstream>

int main () {
    std::ifstream input("data.input");
    if (!input) {
        std::cout << "Input file could not be opened -- Terminating" << std::endl;
        return 1;
    }

magdalini-anastasiadou

import os
import uuid
import argparse
import pandas as pd

from rasa.shared.nlu.training_data.message import Message
from rasa.shared.nlu.training_data.training_data import TrainingData


def csv_to_rasa_nlu():

magdalini-anastasiadou

import argparse


from rasa.shared.nlu.training_data import loading


def merge_nlu_data():
    """Merge Rasa NLU files"""
    parser = argparse.ArgumentParser(description="Merge Rasa NLU files")
    parser.add_argument(