import pytest
from micrograd.engine import Value


# @pytest.mark.skip(reason="complicated assertion")
def test_big_neuron():
    # inputs
    x1 = Value(2.0, label='x1')
    x2 = Value(0.0, label='x2')

    # weights
    w1 = Value(-3.0, label='w1')
    w2 = Value(1.0, label='w2')

    # bias
    b = Value(6.8813735870195432, label='b')

    h1 = x1 * w1
    h1.label = 'h1'
    h2 = x2 * w2
    h2.label = 'h2'

    h = h1 + h2
    h.label = 'h'

    n = h + b
    n.label = 'n'
    y = n.tanh()
    y.label = 'y'

    assert pytest.approx(y.data, 0.01) == 0.7071