def test_calculate_mil_hdbk_217f_part_count_missing_quality():
"""calculate_mil_hdbk_217f_part_count() should return an error message when the quality ID is missing."""
ATTRIBUTES['environment_active_id'] = 1
ATTRIBUTES['quality_id'] = 4
ATTRIBUTES['type_id'] = 1
_attributes, _msg = Filter.calculate_217f_part_count(**ATTRIBUTES)
assert isinstance(_attributes, dict)
assert _msg == ('RAMSTK WARNING: piQ is 0.0 when calculating filter, '
'hardware ID: 6, quality ID: 4')
assert _attributes['lambda_b'] == 0.022
assert _attributes['piQ'] == 0.0
assert _attributes['hazard_rate_active'] == 0.0
def test_calculate_mil_hdbk_217f_part_count_missing_environment():
"""calculate_mil_hdbk_217f_part_count() should return an error message when the active environment ID is missing."""
ATTRIBUTES['environment_active_id'] = 100
ATTRIBUTES['quality_id'] = 1
ATTRIBUTES['type_id'] = 1
_attributes, _msg = Filter.calculate_217f_part_count(**ATTRIBUTES)
assert isinstance(_attributes, dict)
assert _msg == ('RAMSTK WARNING: Base hazard rate is 0.0 when calculating '
'filter, hardware ID: 6, type ID: 1, active environment '
'ID: 100')
assert _attributes['lambda_b'] == 0.0
assert _attributes['piQ'] == 1.0
assert _attributes['hazard_rate_active'] == 0.0
def test_calculate_mil_hdbk_217f_part_stress():
"""calculate_mil_hdbk_217f_part_stress() should return a dictionary of updated values on success."""
ATTRIBUTES['hazard_rate_method_id'] = 2
ATTRIBUTES['environment_active_id'] = 4
ATTRIBUTES['quality_id'] = 1
ATTRIBUTES['type_id'] = 2
_attributes, _msg = Filter.calculate_217f_part_stress(**ATTRIBUTES)
assert isinstance(_attributes, dict)
assert _msg == ''
assert pytest.approx(_attributes['lambda_b'], 0.12)
assert _attributes['piQ'] == 1.0
assert _attributes['piE'] == 4.0
assert pytest.approx(_attributes['hazard_rate_active'], 0.48)
def test_calculate_mil_hdbk_217f_part_stress_missing_environment():
"""calculate_mil_hdbk_217f_part_stress() should return a zero active hazard rate and non-empty message when the environment ID is not an index in the list."""
ATTRIBUTES['hazard_rate_method_id'] = 2
ATTRIBUTES['environment_active_id'] = 40
ATTRIBUTES['quality_id'] = 1
ATTRIBUTES['type_id'] = 2
_attributes, _msg = Filter.calculate_217f_part_stress(**ATTRIBUTES)
assert isinstance(_attributes, dict)
assert _msg == 'RAMSTK WARNING: piE is 0.0 when ' \
'calculating filter, hardware ID: 6'
assert pytest.approx(_attributes['lambda_b'], 0.012)
assert _attributes['piQ'] == 1.0
assert _attributes['piE'] == 0.0
assert pytest.approx(_attributes['hazard_rate_active'], 0.0)
def test_calculate_mil_hdbk_217f_part_count(type_id, quality_id,
environment_active_id):
"""calculate_mil_hdbk_217f_part_count() should return a dictionary of updated values on success."""
ATTRIBUTES['hazard_rate_method_id'] = 1
ATTRIBUTES['type_id'] = type_id
ATTRIBUTES['quality_id'] = quality_id
ATTRIBUTES['environment_active_id'] = environment_active_id
lambda_b = PART_COUNT_LAMBDA_B[type_id][environment_active_id - 1]
piQ = PART_COUNT_PIQ[quality_id - 1]
_attributes, _msg = Filter.calculate_217f_part_count(**ATTRIBUTES)
assert isinstance(_attributes, dict)
if lambda_b == 0.0:
assert _msg == ('RAMSTK WARNING: Base hazard rate is 0.0 when '
'calculating filter, hardware ID: 6')
else:
assert _msg == ''
assert _attributes['lambda_b'] == lambda_b
assert _attributes['piQ'] == piQ
assert _attributes['hazard_rate_active'] == lambda_b * piQ