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class Poly:
    def __init__(self, *args):
        self._coeffs = args

    def __repr__(self):
        return f"Poly(*{self._coeffs})"

    def __add__(self, other):
        return Poly(*(x + y for x,y in zip(self._coeffs, other._coeffs)))

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class Poly:
    def __init__(self, *args):
        self._coeffs = args


p1 = Poly(4,2,5)
p2 = Poly(1,2,3)

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import sklearn
import pandas as pd
import numpy as np
from sklearn.datasets import load_boston
from sklearn.linear_model import LinearRegression

# loading data set
boston = load_boston()

# data

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from queue import Queue, PriorityQueue
from threading import Thread
import random
import time


class RawData:
    def __init__(self):
        self.data_queue = PriorityQueue(maxsize=10)