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84 lines
2.0 KiB
84 lines
2.0 KiB
import pytest |
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@pytest.fixture() |
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def example_data(): |
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import pandas as pd |
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data = [ |
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("A", "a", 1, 1, 100, 5), |
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("A", "a", 1, 2, 100, 2), |
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("A", "a", 1, 3, 100, 0), |
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("A", "b", 1, 1, 200, 0), |
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("A", "b", 1, 2, 200, 3), |
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("A", "b", 1, 3, 200, 0), |
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("B", "a", 1, 1, 300, 0), |
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("B", "a", 1, 2, 300, 2), |
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("B", "a", 1, 3, 300, 0), |
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] |
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columns = [ |
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"Analysis.Name", |
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"Well.Name", |
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"Pos.Id", |
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"Exposure.Id", |
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"Spot.Mean", |
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"Spot.Saturation", |
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] |
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return pd.DataFrame(data, columns=columns) |
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@pytest.mark.parametrize( |
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("analysis", "expected_cy3"), [("dry1", 100), ("hyb", 200)] |
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) |
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def test_add_exposure_info(example_data, analysis, expected_cy3): |
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from conda_helpers.mbp import add_exposure_info |
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result = add_exposure_info(example_data, analysis=analysis) |
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assert "Exposure.Channel" in result.columns |
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assert "Exposure.Time" in result.columns |
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assert "Exposure.Time.Normalized" in result.columns |
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for i, channel, time in [ |
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(1, "Cy3", expected_cy3), |
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(2, "Cy5", 150), |
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(3, "Cy5", 15), |
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]: |
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selection = result["Exposure.Id"] == i |
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selected = result[selection].copy() |
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assert list(selected["Exposure.Channel"].unique()) == [channel] |
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assert list(selected["Exposure.Time"].unique()) == [time] |
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def test_test_overflow(example_data): |
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from conda_helpers.mbp import TEST_OVERFLOW, test_overflow |
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result = test_overflow(example_data) |
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assert list(result[TEST_OVERFLOW]) == [ |
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True, |
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False, |
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False, |
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False, |
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True, |
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False, |
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False, |
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False, |
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False, |
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] |
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def test_normalize(example_data): |
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from conda_helpers.mbp import normalize |
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result = normalize(example_data) |
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assert "Spot.Mean.Normalized" in result.columns |
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assert list(result["Spot.Mean.Normalized"]) == [ |
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100, |
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200, |
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300, |
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100 * 25 / 150, |
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300 * 25 / 150, |
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200 * 25 / 15, |
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]
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