exercism.org/python/meltdown-mitigation/conditionals_test.py

83 lines
4 KiB
Python

import unittest
import pytest
from conditionals import (is_criticality_balanced,
reactor_efficiency,
fail_safe)
class MeltdownMitigationTest(unittest.TestCase):
"""Test cases for Meltdown mitigation exercise.
"""
@pytest.mark.task(taskno=1)
def test_is_criticality_balanced(self):
"""Testing border cases around typical points.
T, n == (800, 500), (625, 800), (500, 1000), etc.
"""
test_data = ((750, 650, True), (799, 501, True), (500, 600, True),
(1000, 800, False), (800, 500, False), (800, 500.01, False),
(799.99, 500, False), (500.01, 999.99, False), (625, 800, False),
(625.99, 800, False), (625.01, 799.99, False), (799.99, 500.01, True),
(624.99, 799.99, True), (500, 1000, False), (500.01, 1000, False),
(499.99, 1000, True))
for variant, data in enumerate(test_data, start=1):
temp, neutrons_emitted, expected = data
with self.subTest(f'variation #{variant}', temp=temp, neutrons_emitted=neutrons_emitted, expected=expected):
# pylint: disable=assignment-from-no-return
actual_result = is_criticality_balanced(temp, neutrons_emitted)
failure_message = (f'Called is_criticality_balanced({temp}, {neutrons_emitted}). '
f' The function returned {actual_result}, '
f'but the test expected {expected} as the return value.')
self.assertEqual(actual_result, expected, failure_message)
@pytest.mark.task(taskno=2)
def test_reactor_efficiency(self):
voltage = 10
theoretical_max_power = 10000
# The numbers are chosen so that current == 10 x percentage
test_data = ((1000, 'green'), (999, 'green'), (800, 'green'),
(799, 'orange'), (700, 'orange'), (600, 'orange'),
(599, 'red'), (560, 'red'), (400, 'red'), (300, 'red'),
(299, 'black'), (200, 'black'), (0, 'black'))
for variant, data in enumerate(test_data, start=1):
current, expected = data
with self.subTest(f'variation #{variant}', voltage=voltage, current=current,
theoretical_max_power=theoretical_max_power, expected=expected):
# pylint: disable=assignment-from-no-return
actual_result = reactor_efficiency(voltage, current, theoretical_max_power)
failure_message =(f'Called reactor_efficiency({voltage}, {current}, {theoretical_max_power}). '
f'The function returned {actual_result}, '
f'but the test expected {expected} as the return value.')
self.assertEqual(actual_result, expected, failure_message)
@pytest.mark.task(taskno=3)
def test_fail_safe(self):
temp = 10
threshold = 10000
test_data = ((399, 'LOW'), (300, 'LOW'), (1, 'LOW'),
(0, 'LOW'), (901, 'NORMAL'), (1000, 'NORMAL'),
(1099, 'NORMAL'), (899, 'LOW'), (700, 'LOW'),
(400, 'LOW'), (1101, 'DANGER'), (1200, 'DANGER'))
for variant, (neutrons_per_second, expected) in enumerate(test_data, start=1):
with self.subTest(f'variation #{variant}', temp=temp, neutrons_per_second=neutrons_per_second,
threshold=threshold, expected=expected):
# pylint: disable=assignment-from-no-return
actual_result = fail_safe(temp, neutrons_per_second, threshold)
failure_message = (f'Called fail_safe({temp}, {neutrons_per_second}, {threshold}). '
f'The function returned {actual_result}, '
f'but the test expected {expected} as the return value.')
self.assertEqual(actual_result, expected, failure_message)