/
test_number.py
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/
test_number.py
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"""Number tests."""
from __future__ import annotations
import math
import typing
import pytest
import humanize
from humanize import number
@pytest.mark.parametrize(
"test_input, expected",
[
("1", "1st"),
("2", "2nd"),
("3", "3rd"),
("4", "4th"),
("11", "11th"),
("12", "12th"),
("13", "13th"),
("101", "101st"),
("102", "102nd"),
("103", "103rd"),
("111", "111th"),
("something else", "something else"),
(None, "None"),
(math.nan, "NaN"),
(math.inf, "+Inf"),
(-math.inf, "-Inf"),
("nan", "NaN"),
("-inf", "-Inf"),
],
)
def test_ordinal(test_input: str, expected: str) -> None:
assert humanize.ordinal(test_input) == expected
@pytest.mark.parametrize(
"test_args, expected",
[
([100], "100"),
([1000], "1,000"),
([10123], "10,123"),
([10311], "10,311"),
([1_000_000], "1,000,000"),
([1_234_567.25], "1,234,567.25"),
(["100"], "100"),
(["1000"], "1,000"),
(["10123"], "10,123"),
(["10311"], "10,311"),
(["1000000"], "1,000,000"),
(["1234567.1234567"], "1,234,567.1234567"),
(["1234567.1234567", 0], "1,234,567"),
(["1234567.1234567", 1], "1,234,567.1"),
(["1234567.1234567", 10], "1,234,567.1234567000"),
(["1234567", 1], "1,234,567.0"),
([None], "None"),
([14308.40], "14,308.4"),
([14308.40, None], "14,308.4"),
([14308.40, 1], "14,308.4"),
([14308.40, 2], "14,308.40"),
([14308.40, 3], "14,308.400"),
([1234.5454545], "1,234.5454545"),
([1234.5454545, None], "1,234.5454545"),
([1234.5454545, 0], "1,235"),
([1234.5454545, 1], "1,234.5"),
([1234.5454545, 2], "1,234.55"),
([1234.5454545, 3], "1,234.545"),
([1234.5454545, 10], "1,234.5454545000"),
([math.nan], "NaN"),
([math.inf], "+Inf"),
([-math.inf], "-Inf"),
(["nan"], "NaN"),
(["-inf"], "-Inf"),
],
)
def test_intcomma(
test_args: list[int] | list[float] | list[str], expected: str
) -> None:
assert humanize.intcomma(*test_args) == expected
def test_intword_powers() -> None:
# make sure that powers & human_powers have the same number of items
assert len(number.powers) == len(number.human_powers)
@pytest.mark.parametrize(
"test_args, expected",
[
(["0"], "0"),
(["100"], "100"),
(["-100"], "-100"),
(["1000"], "1.0 thousand"),
(["12400"], "12.4 thousand"),
(["12490"], "12.5 thousand"),
(["1000000"], "1.0 million"),
(["-1000000"], "-1.0 million"),
(["1200000"], "1.2 million"),
(["1290000"], "1.3 million"),
(["999999999"], "1.0 billion"),
(["1000000000"], "1.0 billion"),
(["-1000000000"], "-1.0 billion"),
(["2000000000"], "2.0 billion"),
(["999999999999"], "1.0 trillion"),
(["1000000000000"], "1.0 trillion"),
(["6000000000000"], "6.0 trillion"),
(["-6000000000000"], "-6.0 trillion"),
(["999999999999999"], "1.0 quadrillion"),
(["1000000000000000"], "1.0 quadrillion"),
(["1300000000000000"], "1.3 quadrillion"),
(["-1300000000000000"], "-1.3 quadrillion"),
(["3500000000000000000000"], "3.5 sextillion"),
(["8100000000000000000000000000000000"], "8.1 decillion"),
(["-8100000000000000000000000000000000"], "-8.1 decillion"),
([1_000_000_000_000_000_000_000_000_000_000_000_000], "1000.0 decillion"),
([1_100_000_000_000_000_000_000_000_000_000_000_000], "1100.0 decillion"),
([2_100_000_000_000_000_000_000_000_000_000_000_000], "2100.0 decillion"),
([None], "None"),
(["1230000", "%0.2f"], "1.23 million"),
([10**101], "1" + "0" * 101),
([math.nan], "NaN"),
([math.inf], "+Inf"),
([-math.inf], "-Inf"),
(["nan"], "NaN"),
(["-inf"], "-Inf"),
],
)
def test_intword(test_args: list[str], expected: str) -> None:
assert humanize.intword(*test_args) == expected
@pytest.mark.parametrize(
"test_input, expected",
[
(0, "zero"),
(1, "one"),
(2, "two"),
(4, "four"),
(5, "five"),
(9, "nine"),
(10, "10"),
("7", "seven"),
(None, "None"),
(math.nan, "NaN"),
(math.inf, "+Inf"),
(-math.inf, "-Inf"),
("nan", "NaN"),
("-inf", "-Inf"),
],
)
def test_apnumber(test_input: int | str, expected: str) -> None:
assert humanize.apnumber(test_input) == expected
@pytest.mark.parametrize(
"test_input, expected",
[
(1, "1"),
(2.0, "2"),
(4.0 / 3.0, "1 1/3"),
(5.0 / 6.0, "5/6"),
("7", "7"),
("8.9", "8 9/10"),
("ten", "ten"),
(None, "None"),
(1 / 3, "1/3"),
(1.5, "1 1/2"),
(0.3, "3/10"),
(0.333, "333/1000"),
(math.nan, "NaN"),
(math.inf, "+Inf"),
(-math.inf, "-Inf"),
("nan", "NaN"),
("-inf", "-Inf"),
],
)
def test_fractional(test_input: float | str, expected: str) -> None:
assert humanize.fractional(test_input) == expected
@pytest.mark.parametrize(
"test_args, expected",
[
([1000], "1.00 x 10³"),
([-1000], "-1.00 x 10³"),
([5.5], "5.50 x 10⁰"),
([5781651000], "5.78 x 10⁹"),
(["1000"], "1.00 x 10³"),
(["99"], "9.90 x 10¹"),
([0.3], "3.00 x 10⁻¹"),
(["foo"], "foo"),
([None], "None"),
([1000, 1], "1.0 x 10³"),
([0.3, 1], "3.0 x 10⁻¹"),
([1000, 0], "1 x 10³"),
([0.3, 0], "3 x 10⁻¹"),
([1e20], "1.00 x 10²⁰"),
([2e-20], "2.00 x 10⁻²⁰"),
([-3e20], "-3.00 x 10²⁰"),
([-4e-20], "-4.00 x 10⁻²⁰"),
([math.nan], "NaN"),
([math.inf], "+Inf"),
([-math.inf], "-Inf"),
(["nan"], "NaN"),
(["-inf"], "-Inf"),
],
)
def test_scientific(test_args: list[typing.Any], expected: str) -> None:
assert humanize.scientific(*test_args) == expected
@pytest.mark.parametrize(
"test_args, expected",
[
([1], "1"),
([None], None),
([0.0001, "{:.0%}"], "0%"),
([0.0001, "{:.0%}", 0.01], "<1%"),
([0.9999, "{:.0%}", None, 0.99], ">99%"),
([0.0001, "{:.0%}", 0.01, None, "under ", None], "under 1%"),
([0.9999, "{:.0%}", None, 0.99, None, "above "], "above 99%"),
([1, humanize.intword, 1e6, None, "under "], "under 1.0 million"),
([math.nan], "NaN"),
([math.inf], "+Inf"),
([-math.inf], "-Inf"),
],
)
def test_clamp(test_args: list[typing.Any], expected: str) -> None:
assert humanize.clamp(*test_args) == expected
@pytest.mark.parametrize(
"test_args, expected",
[
([0], "0.00"),
([1, "Hz"], "1.00 Hz"),
([1.0, "W"], "1.00 W"),
([3, "C"], "3.00 C"),
([3, "W", 5], "3.0000 W"),
([1.23456], "1.23"),
([12.3456], "12.3"),
([123.456], "123"),
([1234.56], "1.23 k"),
([12345, "", 6], "12.3450 k"),
([200_000], "200 k"),
([1e25, "m"], "10.0 Ym"),
([1e26, "m"], "100 Ym"),
([1e27, "A"], "1.00 RA"),
([1.234e28, "A"], "12.3 RA"),
([1.234e-28, "A"], "123 qA"),
([1.235e29, "A"], "124 RA"),
([2.56e-30, "V"], "2.56 qV"),
([2.596e32, "F"], "260 QF"),
([1e50], "1.00 x 10⁵⁰"),
([1e-50], "1.00 x 10⁻⁵⁰"),
([-1500, "V"], "-1.50 kV"),
([0.12], "120 m"),
([0.012], "12.0 m"),
([0.0012], "1.20 m"),
([0.00012], "120 μ"),
([1e-23], "10.0 y"),
([1e-24], "1.00 y"),
([1e-25], "100 r"),
([1e-26], "10.0 r"),
([1, "°"], "1.00°"),
([0.1, "°"], "100m°"),
([100], "100"),
([0.1], "100 m"),
([1.5123, "", 0], "2"),
([10.5123, "", 0], "11"),
([10.5123, "", 1], "11"),
([10.5123, "", 2], "11"),
([10.5123, "", 3], "10.5"),
([1, "", 0], "1"),
([10, "", 0], "10"),
([100, "", 0], "100"),
([1000, "", 0], "1 k"),
([1, "", 1], "1"),
([10, "", 1], "10"),
([100, "", 1], "100"),
([1000, "", 1], "1 k"),
([1, "", 2], "1.0"),
([10, "", 2], "10"),
([100, "", 2], "100"),
([1000, "", 2], "1.0 k"),
([1, "", 3], "1.00"),
([10, "", 3], "10.0"),
([100, "", 3], "100"),
([1000, "", 3], "1.00 k"),
([math.nan], "NaN"),
([math.nan, "m"], "NaN"),
([math.inf], "+Inf"),
([-math.inf], "-Inf"),
],
ids=str,
)
def test_metric(test_args: list[typing.Any], expected: str) -> None:
assert humanize.metric(*test_args) == expected