Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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91 lines
2.7 KiB
91 lines
2.7 KiB
4 years ago
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import numpy as np
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import pytest
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from pandas.core.aggregation import _make_unique_kwarg_list, maybe_mangle_lambdas
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def test_maybe_mangle_lambdas_passthrough():
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assert maybe_mangle_lambdas("mean") == "mean"
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assert maybe_mangle_lambdas(lambda x: x).__name__ == "<lambda>"
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# don't mangel single lambda.
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assert maybe_mangle_lambdas([lambda x: x])[0].__name__ == "<lambda>"
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def test_maybe_mangle_lambdas_listlike():
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aggfuncs = [lambda x: 1, lambda x: 2]
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result = maybe_mangle_lambdas(aggfuncs)
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assert result[0].__name__ == "<lambda_0>"
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assert result[1].__name__ == "<lambda_1>"
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assert aggfuncs[0](None) == result[0](None)
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assert aggfuncs[1](None) == result[1](None)
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def test_maybe_mangle_lambdas():
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func = {"A": [lambda x: 0, lambda x: 1]}
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result = maybe_mangle_lambdas(func)
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assert result["A"][0].__name__ == "<lambda_0>"
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assert result["A"][1].__name__ == "<lambda_1>"
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def test_maybe_mangle_lambdas_args():
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func = {"A": [lambda x, a, b=1: (0, a, b), lambda x: 1]}
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result = maybe_mangle_lambdas(func)
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assert result["A"][0].__name__ == "<lambda_0>"
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assert result["A"][1].__name__ == "<lambda_1>"
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assert func["A"][0](0, 1) == (0, 1, 1)
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assert func["A"][0](0, 1, 2) == (0, 1, 2)
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assert func["A"][0](0, 2, b=3) == (0, 2, 3)
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def test_maybe_mangle_lambdas_named():
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func = {"C": np.mean, "D": {"foo": np.mean, "bar": np.mean}}
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result = maybe_mangle_lambdas(func)
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assert result == func
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@pytest.mark.parametrize(
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"order, expected_reorder",
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[
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(
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[
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("height", "<lambda>"),
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("height", "max"),
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("weight", "max"),
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("height", "<lambda>"),
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("weight", "<lambda>"),
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],
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[
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("height", "<lambda>_0"),
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("height", "max"),
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("weight", "max"),
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("height", "<lambda>_1"),
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("weight", "<lambda>"),
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],
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),
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(
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[
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("col2", "min"),
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("col1", "<lambda>"),
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("col1", "<lambda>"),
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("col1", "<lambda>"),
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],
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[
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("col2", "min"),
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("col1", "<lambda>_0"),
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("col1", "<lambda>_1"),
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("col1", "<lambda>_2"),
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],
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),
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(
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[("col", "<lambda>"), ("col", "<lambda>"), ("col", "<lambda>")],
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[("col", "<lambda>_0"), ("col", "<lambda>_1"), ("col", "<lambda>_2")],
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),
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],
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)
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def test_make_unique(order, expected_reorder):
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# GH 27519, test if make_unique function reorders correctly
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result = _make_unique_kwarg_list(order)
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assert result == expected_reorder
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