import numpy as np

# numpy es para numeros (no cadenas u objetos)
n = 3
m = 2
print(np.empty((n, m)))  # Matriz vacía, con valores residuales de la memoria

print(np.zeros((n, m)))  # Matriz de ceros

print(np.ones((n, m)))  # Matriz de unos


print(np.zeros((3, 3, 3)))


print(np.arange(27).reshape((3, 3, 3)))  # matriz multidimensional


import numpy as np

# Use numpy.allclose() to check if two arrays are equal
# to each other within a tolerance.
print(np.allclose([1e10, 1e-7], [1.00001e10, 1e-8]))

print(np.allclose([1e10, 1e-8], [1.00001e10, 1e-9]))


# Use numpy.isclose() to check if the elements of two arrays
# are equal to each other within a tolerance
print(np.isclose([1e10, 1e-7], [1.00001e10, 1e-8]))

print(np.isclose([1e10, 1e-8], [1.00001e10, 1e-9]))


import pytest
import numpy as np

np.array([0.1, 0.2]) + np.array([0.2, 0.4]) == pytest.approx(np.array([0.3, 0.6]))


print({"a": 0.1 + 0.2, "b": 0.2 + 0.4} == pytest.approx({"a": 0.3, "b": 0.6}))