cti-python-stix2/stix2/test/v21/test_confidence.py

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2017-10-23 14:06:29 +02:00
import pytest
from stix2.confidence.scales import (
admiralty_credibility_to_value, dni_to_value, none_low_med_high_to_value,
value_to_admiralty_credibility, value_to_dni,
value_to_none_low_medium_high, value_to_wep, value_to_zero_ten,
wep_to_value, zero_ten_to_value,
)
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CONFIDENCE_ERROR_STR = "STIX Confidence value cannot be determined for %s"
RANGE_ERROR_STR = "Range of values out of bounds: %s"
def _between(x, val, y):
return x >= val >= y
def test_confidence_range_none_low_med_high():
confidence_range = range(-1, 101)
for val in confidence_range:
if val < 0 or val > 100:
with pytest.raises(ValueError) as excinfo:
value_to_none_low_medium_high(val)
assert str(excinfo.value) == RANGE_ERROR_STR % val
continue
if val == 0:
assert value_to_none_low_medium_high(val) == "None"
elif _between(29, val, 1):
assert value_to_none_low_medium_high(val) == "Low"
elif _between(69, val, 30):
assert value_to_none_low_medium_high(val) == "Med"
elif _between(100, val, 70):
assert value_to_none_low_medium_high(val) == "High"
@pytest.mark.parametrize(
"scale_value,result", [
("None", 0),
("Low", 15),
("Med", 50),
("High", 85),
],
)
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def test_confidence_scale_valid_none_low_med_high(scale_value, result):
val = none_low_med_high_to_value(scale_value)
assert val == result
@pytest.mark.parametrize(
"scale_value", [
"Super",
"none",
"",
],
)
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def test_confidence_scale_invalid_none_low_med_high(scale_value):
with pytest.raises(ValueError) as excinfo:
none_low_med_high_to_value(scale_value)
assert str(excinfo.value) == CONFIDENCE_ERROR_STR % scale_value
def test_confidence_range_zero_ten():
confidence_range = range(-1, 101)
for val in confidence_range:
if val < 0 or val > 100:
with pytest.raises(ValueError) as excinfo:
value_to_zero_ten(val)
assert str(excinfo.value) == RANGE_ERROR_STR % val
continue
if _between(4, val, 0):
assert value_to_zero_ten(val) == "0"
elif _between(14, val, 5):
assert value_to_zero_ten(val) == "1"
elif _between(24, val, 15):
assert value_to_zero_ten(val) == "2"
elif _between(34, val, 25):
assert value_to_zero_ten(val) == "3"
elif _between(44, val, 35):
assert value_to_zero_ten(val) == "4"
elif _between(54, val, 45):
assert value_to_zero_ten(val) == "5"
elif _between(64, val, 55):
assert value_to_zero_ten(val) == "6"
elif _between(74, val, 65):
assert value_to_zero_ten(val) == "7"
elif _between(84, val, 75):
assert value_to_zero_ten(val) == "8"
elif _between(94, val, 85):
assert value_to_zero_ten(val) == "9"
elif _between(100, val, 95):
assert value_to_zero_ten(val) == "10"
@pytest.mark.parametrize(
"scale_value,result", [
("0", 0),
("1", 10),
("2", 20),
("3", 30),
("4", 40),
("5", 50),
("6", 60),
("7", 70),
("8", 80),
("9", 90),
("10", 100),
],
)
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def test_confidence_scale_valid_zero_ten(scale_value, result):
val = zero_ten_to_value(scale_value)
assert val == result
@pytest.mark.parametrize(
"scale_value", [
"11",
8,
"",
],
)
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def test_confidence_scale_invalid_zero_ten(scale_value):
with pytest.raises(ValueError) as excinfo:
zero_ten_to_value(scale_value)
assert str(excinfo.value) == CONFIDENCE_ERROR_STR % scale_value
def test_confidence_range_admiralty_credibility():
confidence_range = range(-1, 101)
for val in confidence_range:
if val < 0 or val > 100:
with pytest.raises(ValueError) as excinfo:
value_to_admiralty_credibility(val)
assert str(excinfo.value) == RANGE_ERROR_STR % val
continue
if _between(19, val, 0):
assert value_to_admiralty_credibility(val) == "5 - Improbable"
elif _between(39, val, 20):
assert value_to_admiralty_credibility(val) == "4 - Doubtful"
elif _between(59, val, 40):
assert value_to_admiralty_credibility(val) == "3 - Possibly True"
elif _between(79, val, 60):
assert value_to_admiralty_credibility(val) == "2 - Probably True"
elif _between(100, val, 80):
assert value_to_admiralty_credibility(val) == "1 - Confirmed by other sources"
@pytest.mark.parametrize(
"scale_value,result", [
("5 - Improbable", 10),
("4 - Doubtful", 30),
("3 - Possibly True", 50),
("2 - Probably True", 70),
("1 - Confirmed by other sources", 90),
],
)
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def test_confidence_scale_valid_admiralty_credibility(scale_value, result):
val = admiralty_credibility_to_value(scale_value)
assert val == result
@pytest.mark.parametrize(
"scale_value", [
"5 - improbable",
"6 - Truth cannot be judged",
"",
],
)
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def test_confidence_scale_invalid_admiralty_credibility(scale_value):
with pytest.raises(ValueError) as excinfo:
admiralty_credibility_to_value(scale_value)
assert str(excinfo.value) == CONFIDENCE_ERROR_STR % scale_value
def test_confidence_range_wep():
confidence_range = range(-1, 101)
for val in confidence_range:
if val < 0 or val > 100:
with pytest.raises(ValueError) as excinfo:
value_to_wep(val)
assert str(excinfo.value) == RANGE_ERROR_STR % val
continue
if val == 0:
assert value_to_wep(val) == "Impossible"
elif _between(19, val, 1):
assert value_to_wep(val) == "Highly Unlikely/Almost Certainly Not"
elif _between(39, val, 20):
assert value_to_wep(val) == "Unlikely/Probably Not"
elif _between(59, val, 40):
assert value_to_wep(val) == "Even Chance"
elif _between(79, val, 60):
assert value_to_wep(val) == "Likely/Probable"
elif _between(99, val, 80):
assert value_to_wep(val) == "Highly likely/Almost Certain"
elif val == 100:
assert value_to_wep(val) == "Certain"
@pytest.mark.parametrize(
"scale_value,result", [
("Impossible", 0),
("Highly Unlikely/Almost Certainly Not", 10),
("Unlikely/Probably Not", 30),
("Even Chance", 50),
("Likely/Probable", 70),
("Highly likely/Almost Certain", 90),
("Certain", 100),
],
)
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def test_confidence_scale_valid_wep(scale_value, result):
val = wep_to_value(scale_value)
assert val == result
@pytest.mark.parametrize(
"scale_value", [
"Unlikely / Probably Not",
"Almost certain",
"",
],
)
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def test_confidence_scale_invalid_wep(scale_value):
with pytest.raises(ValueError) as excinfo:
wep_to_value(scale_value)
assert str(excinfo.value) == CONFIDENCE_ERROR_STR % scale_value
def test_confidence_range_dni():
confidence_range = range(-1, 101)
for val in confidence_range:
if val < 0 or val > 100:
with pytest.raises(ValueError) as excinfo:
value_to_dni(val)
assert str(excinfo.value) == RANGE_ERROR_STR % val
continue
if _between(9, val, 0):
assert value_to_dni(val) == "Almost No Chance / Remote"
elif _between(19, val, 10):
assert value_to_dni(val) == "Very Unlikely / Highly Improbable"
elif _between(39, val, 20):
assert value_to_dni(val) == "Unlikely / Improbable"
elif _between(59, val, 40):
assert value_to_dni(val) == "Roughly Even Change / Roughly Even Odds"
elif _between(79, val, 60):
assert value_to_dni(val) == "Likely / Probable"
elif _between(89, val, 80):
assert value_to_dni(val) == "Very Likely / Highly Probable"
elif _between(100, val, 90):
assert value_to_dni(val) == "Almost Certain / Nearly Certain"
@pytest.mark.parametrize(
"scale_value,result", [
("Almost No Chance / Remote", 5),
("Very Unlikely / Highly Improbable", 15),
("Unlikely / Improbable", 30),
("Roughly Even Change / Roughly Even Odds", 50),
("Likely / Probable", 70),
("Very Likely / Highly Probable", 85),
("Almost Certain / Nearly Certain", 95),
],
)
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def test_confidence_scale_valid_dni(scale_value, result):
val = dni_to_value(scale_value)
assert val == result
@pytest.mark.parametrize(
"scale_value", [
"Almost Certain/Nearly Certain",
"Almost Certain / nearly Certain",
"",
],
)
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def test_confidence_scale_invalid_none_dni(scale_value):
with pytest.raises(ValueError) as excinfo:
dni_to_value(scale_value)
assert str(excinfo.value) == CONFIDENCE_ERROR_STR % scale_value