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import string
import timeit
import pytest
from sklearn.utils._user_interface import _message_with_time, _print_elapsed_time
@pytest.mark.parametrize(
["source", "message", "is_long"],
[
("ABC", string.ascii_lowercase, False),
("ABCDEF", string.ascii_lowercase, False),
("ABC", string.ascii_lowercase * 3, True),
("ABC" * 10, string.ascii_lowercase, True),
("ABC", string.ascii_lowercase + "\u1048", False),
],
)
@pytest.mark.parametrize(
["time", "time_str"],
[
(0.2, " 0.2s"),
(20, " 20.0s"),
(2000, "33.3min"),
(20000, "333.3min"),
],
)
def test_message_with_time(source, message, is_long, time, time_str):
out = _message_with_time(source, message, time)
if is_long:
assert len(out) > 70
else:
assert len(out) == 70
assert out.startswith("[" + source + "] ")
out = out[len(source) + 3 :]
assert out.endswith(time_str)
out = out[: -len(time_str)]
assert out.endswith(", total=")
out = out[: -len(", total=")]
assert out.endswith(message)
out = out[: -len(message)]
assert out.endswith(" ")
out = out[:-1]
if is_long:
assert not out
else:
assert list(set(out)) == ["."]
@pytest.mark.parametrize(
["message", "expected"],
[
("hello", _message_with_time("ABC", "hello", 0.1) + "\n"),
("", _message_with_time("ABC", "", 0.1) + "\n"),
(None, ""),
],
)
def test_print_elapsed_time(message, expected, capsys, monkeypatch):
monkeypatch.setattr(timeit, "default_timer", lambda: 0)
with _print_elapsed_time("ABC", message):
monkeypatch.setattr(timeit, "default_timer", lambda: 0.1)
assert capsys.readouterr().out == expected
|
