import numpy as np
import math


def random_x(exa, charac):
    new_data = np.random.rand(exa, charac)
    return new_data


def random_ydisc(exa, max):
    new_data = np.random.rand(exa, 1) * max
    new_data = np.round(new_data)
    return new_data


def random_ycont(exa):
    new_data = np.random.rand(exa, 1)
    return new_data


def complete_set(x, y):
    complete = np.hstack((x, y))
    return complete


x = random_x(20, 5)
y = random_ydisc(20, 10)
print(complete_set(x, y))

5a17f6eb90cfdd940af0ccbc896b84fdd7117e0b
<mask token>


def random_x(exa, charac):
    new_data = np.random.rand(exa, charac)
    return new_data


def random_ydisc(exa, max):
    new_data = np.random.rand(exa, 1) * max
    new_data = np.round(new_data)
    return new_data


def random_ycont(exa):
    new_data = np.random.rand(exa, 1)
    return new_data


<mask token>

<mask token>


def random_x(exa, charac):
    new_data = np.random.rand(exa, charac)
    return new_data


def random_ydisc(exa, max):
    new_data = np.random.rand(exa, 1) * max
    new_data = np.round(new_data)
    return new_data


def random_ycont(exa):
    new_data = np.random.rand(exa, 1)
    return new_data


def complete_set(x, y):
    complete = np.hstack((x, y))
    return complete


<mask token>
print(complete_set(x, y))

<mask token>


def random_x(exa, charac):
    new_data = np.random.rand(exa, charac)
    return new_data


def random_ydisc(exa, max):
    new_data = np.random.rand(exa, 1) * max
    new_data = np.round(new_data)
    return new_data


def random_ycont(exa):
    new_data = np.random.rand(exa, 1)
    return new_data


def complete_set(x, y):
    complete = np.hstack((x, y))
    return complete


x = random_x(20, 5)
y = random_ydisc(20, 10)
print(complete_set(x, y))

import numpy as np
import math


def random_x(exa, charac):
    new_data = np.random.rand(exa, charac)
    return new_data


def random_ydisc(exa, max):
    new_data = np.random.rand(exa, 1) * max
    new_data = np.round(new_data)
    return new_data


def random_ycont(exa):
    new_data = np.random.rand(exa, 1)
    return new_data


def complete_set(x, y):
    complete = np.hstack((x, y))
    return complete


x = random_x(20, 5)
y = random_ydisc(20, 10)
print(complete_set(x, y))
