def test_value_errors():
with pytest.raises(ValueError, match=r".*should be greater than 0*"):
calculator.log(0, 2)
with pytest.raises(ValueError, match=r".*value should be greater than 0*"):
calculator.log(-2, 10)
with pytest.raises(
ValueError,
match=r".*base should be greater than 0 and not equal to 1*"):
calculator.log(5, -10)
with pytest.raises(
ValueError,
match=r".*base should be greater than 0 and not equal to 1*"):
calculator.log(5, 1)
with pytest.raises(ValueError, match=r".*value should be greater than 0*"):
derivatives.d_log(0, 10)
with pytest.raises(ValueError, match=r".*value should be greater than 0*"):
derivatives.d_log(-2, 10)
with pytest.raises(
ValueError,
match=r".*base should be greater than 0 and not equal to 1*"):
derivatives.d_log(5, -10)
with pytest.raises(
ValueError,
match=r".*base should be greater than 0 and not equal to 1*"):
derivatives.d_log(5, 1)
def test_functions():
value = random.randint(-100, 100)
value2 = random.randint(1, 100)
assert round(c.sin(value)) == round(math.sin(
value)), "Sin function is not working, you studied this in 10.."
assert round(c.cos(value)) == round(math.cos(
value)), "Cos function is not working, you studied this in 10.."
assert round(c.tan(value)) == round(math.tan(
value)), "Tan function is not working, you studied this in 10.."
assert round(c.tanh(value)) == round(math.tanh(
value)), "Tanh function is not working, you studied this in 10.."
assert round(c.sigmoid(value)) == round(
(1 / (1 + math.exp(-value))
)), "Sigmoid function is not working, this is the basic of DNN.."
assert round(c.relu(value)) == round(max(
0, value)), "Relu function is not working, this is the basic of DNN,,"
assert round(c.log(value2)) == round(math.log(
value2)), "Log function is not working, you studied this in 10.."
assert round(c.e(value)) == round(math.exp(
value)), "Exp function is not working, you studied this in 10.."
assert [
0.0003282279149649954, 0.0024252944769113903, 0.01792063694632493,
0.0008922159768423478, 0.9784336246849563
] == c.softmax([1, 3, 5, 2,
9]), "Softmax not working bro.. how will you make NN then"
def test_log():
"""
Test the method log in the calculator package
:return: None
"""
output = calculator.log(1)
assert output == 0
output = derivatives.derivative_log(1)
assert output == 1
def test_all_function_check():
import calculator
assert calculator.sin(math.pi / 2) == 1
assert calculator.cos(math.pi) == -1
assert calculator.tan(0) == 0
assert calculator.tanh(0) == 0
assert calculator.softmax([1,
2]) == [0.2689414213699951, 0.7310585786300049]
assert calculator.e(0) == 1
assert calculator.log(10, base=10) == 1
assert calculator.relu(10) == 10
assert calculator.relu(-10) == 0
assert calculator.sigmoid(0) == 0.5
def test():
abs_tol = 0.001
rel_tol = 0.001
test_value = 25
# ================= testing sin =====================
assert math.isclose(
calculator.sin(test_value), -0.132, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {calculator.sin(test_value)}',
f'expected : {-0.132}')
assert math.isclose(
derivatives.sin(test_value), 0.991, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {derivatives.sin(test_value)}',
f'expected : {0.991}')
# ================= testing cosine =====================
assert math.isclose(
calculator.cos(test_value), 0.991, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {calculator.cos(test_value)}',
f'expected : {0.991}')
assert math.isclose(
derivatives.cos(test_value), 0.132, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {derivatives.cos(test_value)}',
f'expected : {0.132}')
# ================= testing exponential =====================
assert math.isclose(
calculator.exp(test_value),
72004899337,
rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {calculator.exp(test_value)}',
f'expected : {72004899337}')
assert math.isclose(
derivatives.exp(test_value),
72004899337,
rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {derivatives.exp(test_value)}',
f'expected : {72004899337}')
# ================= testing log =====================
assert math.isclose(
calculator.log(test_value), 3.218, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {calculator.log(test_value)}',
f'expected : {3.218}')
assert math.isclose(
derivatives.log(test_value), 0.04, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {derivatives.log(test_value)}',
f'expected : {0.04}')
# ================= testing relu =====================
assert math.isclose(
calculator.relu(test_value), 25, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {calculator.relu(test_value)}',
f'expected : {25}')
assert math.isclose(
derivatives.relu(test_value), 1, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {derivatives.relu(test_value)}',
f'expected : {1}')
# ================= testing sigmoid =====================
assert math.isclose(
calculator.sigmoid(test_value),
0.999,
rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {calculator.sigmoid(test_value)}',
f'expected : {0.999}')
assert math.isclose(
derivatives.sigmoid(test_value),
1.388794386457827062508E-11,
rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {derivatives.sigmoid(test_value)}',
f'expected : {1.388794386457827062508E-11}')
# ================= testing Softmax =====================
assert math.isclose(
calculator.softmax(test_value), 1, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {calculator.softmax(test_value)}',
f'expected : {1}')
# assert math.isclose(derivatives.softmax(test_value), 0.04 ,
# rel_tol=abs_tol,
# abs_tol=abs_tol),(f'actual : {derivatives.softmax(test_value)}',
# f'expected : {0.04}' )
# ================= testing tan =====================
assert math.isclose(
calculator.tan(test_value), -0.133, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {calculator.tan(test_value)}',
f'expected : {-0.133}')
assert math.isclose(
derivatives.tan(test_value), 2.017, rel_tol=abs_tol,
abs_tol=abs_tol), (f'actual : {derivatives.tan(test_value)}',
f'expected : {2.017}')
def test_log_import():
log_val = calculator.log(10, 4)
assert (log_val == 1.6609640474436813
), "derivative of relu function has wrong implementation"
def test_function_dlog():
assert 1/calculator.log(num) == derivatives.dlog(calculator.log(num)), 'dLog implementaion failed'
def test_function_log():
assert math.log(num) == calculator.log(num), ' Log implementaion failed'
def test_log():
assert math.log(3) == calc.log(3), 'Check log function'
def test_type_error():
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
calculator.sin("60")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
calculator.cos("-45")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
calculator.tan("4.5")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
calculator.tanh("50")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
calculator.relu("1.3")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
calculator.sigmoid("2.4")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
calculator.euler("4")
with pytest.raises(TypeError, match=r".*invalid type*"):
calculator.softmax([10, "2", "3"])
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
calculator.log("5", 10)
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
calculator.log(3, "10")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
derivatives.d_sin("45")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
derivatives.d_cos("4.5")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
derivatives.d_tan("45")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
derivatives.d_tanh([1, 3])
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
derivatives.d_euler("10")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
derivatives.d_sigmoid("3")
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
derivatives.d_relu("-5")
with pytest.raises(TypeError, match=r".*invalid type*"):
derivatives.d_softmax([20, "3", 5])
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
derivatives.d_log("5", 20)
with pytest.raises(TypeError, match=r".*Input value of invalid type*"):
derivatives.d_log(5, "20")
def test_log_module():
assert 0.6989700043360187 == calculator.log(
5, 10), "log_func module from cal package is not working as expected"
assert 0.08685889638065035 == derivatives.d_log(
5, 10), "log_func module from cal package is not working as expected"
def test_log():
assert math.log(10) == calculator.log(10)
def test_log():
assert calc.log(45) == math.log(45)
def test_log(self):
assert 1.58 == calculator.log(3, 2)
def test_log(self):
self.assertEqual(cl.log(1, 10), 0.0)
self.assertEqual(cl.log(10, 2), 3.32)
self.assertEqual(cl.log(1.2, 10), 0.08)
self.assertEqual(cl.log(10, 1.2), 12.63)
with self.assertRaises(ZeroDivisionError):
cl.log(10, 1)
with self.assertRaises(ValueError):
cl.log(-1, 10)
cl.log(10, -1)
with self.assertRaises(TypeError):
cl.log(5, 'abc')
cl.log('abc', 5)
cl.log(5, True)
cl.log(True, 5)
