e92b1cd12a
A complete gutting of the internals of ytdl-sub to support functions in our variable syntax, in addition to being able to access a yt-dlp entry's .info.json fields using functions. Functionally, ytdl-sub should still look and behave the same from a user-perspective. With so many lines of code changed (+8927, -2708), no doubt there will be new issues. Please make a GH issue or reach out on Discord if your config/subscriptions break in any way/shape/form. Details on how to use function support will come soon in the form of proper documentation in our readthedocs.
78 lines
2.6 KiB
Python
78 lines
2.6 KiB
Python
import pytest
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from unit.script.conftest import single_variable_output
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class TestNumericFunctions:
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@pytest.mark.parametrize(
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"values, expected_output", [("1, 2, 3", 6), ("1", 1), ("-1, -2, -3", -6), ("1.1, 1.2", 2.3)]
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)
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def test_add(self, values: str, expected_output: int):
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output = single_variable_output(f"{{%add({values})}}")
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assert output == expected_output
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@pytest.mark.parametrize(
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"values, expected_output", [("1, 2, 3", -4), ("1", 1), ("-1, -2, -3", 4), ("1.5, 2.5", -1)]
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)
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def test_sub(self, values: str, expected_output: int):
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output = single_variable_output(f"{{%sub({values})}}")
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assert output == expected_output
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@pytest.mark.parametrize(
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"values, expected_output",
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[("1, 2, 3", 6), ("1", 1), ("-1, -2, -3", -6), ("1.5, 2.5", 3.75)],
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)
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def test_mul(self, values: str, expected_output: int):
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output = single_variable_output(f"{{%mul({values})}}")
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assert output == expected_output
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@pytest.mark.parametrize(
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"values, expected_output", [("2, 2", 1), ("10, 5", 2), ("4.5, 0.5", 9), ("-3.5, -2", 1.75)]
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)
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def test_div(self, values: str, expected_output: int):
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output = single_variable_output(f"{{%div({values})}}")
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assert output == expected_output
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@pytest.mark.parametrize(
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"values, expected_output",
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[
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("8, 3", 2),
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("1, 1", 0),
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],
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)
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def test_mod(self, values: str, expected_output: int):
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output = single_variable_output(f"{{%mod({values})}}")
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assert output == expected_output
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@pytest.mark.parametrize(
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"values, expected_output",
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[
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("8, 3, 0.3, 0.2, 1.4, 99.9", 99.9),
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("1, 1, 0, 1", 1),
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],
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)
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def test_max(self, values: str, expected_output: int):
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output = single_variable_output(f"{{%max({values})}}")
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assert output == expected_output
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@pytest.mark.parametrize(
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"values, expected_output",
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[
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("8, 3, 0.3, 0.2, 1.4, 99.9", 0.2),
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("1, 1, 0, 1", 0),
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],
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)
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def test_min(self, values: str, expected_output: int):
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output = single_variable_output(f"{{%min({values})}}")
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assert output == expected_output
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@pytest.mark.parametrize(
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"values, expected_output",
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[
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("2, 2", 2**2),
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("9, 0.5", 9**0.5),
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("4.4, 2.2", 4.4**2.2),
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],
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)
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def test_pow(self, values: str, expected_output: float):
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output = single_variable_output(f"{{ %pow({values}) }}")
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assert output == expected_output
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