50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
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import numpy as np
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import pytest
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from pandas import Categorical, DataFrame
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@pytest.mark.parametrize(
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"data, expected",
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[
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# empty
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(DataFrame(), True),
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# multi-same
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(DataFrame({"A": [1, 2], "B": [1, 2]}), True),
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# multi-object
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(
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DataFrame(
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{
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"A": np.array([1, 2], dtype=object),
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"B": np.array(["a", "b"], dtype=object),
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}
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),
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True,
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),
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# multi-extension
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(
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DataFrame({"A": Categorical(["a", "b"]), "B": Categorical(["a", "b"])}),
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True,
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),
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# differ types
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(DataFrame({"A": [1, 2], "B": [1.0, 2.0]}), False),
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# differ sizes
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(
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DataFrame(
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{
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"A": np.array([1, 2], dtype=np.int32),
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"B": np.array([1, 2], dtype=np.int64),
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}
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),
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False,
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),
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# multi-extension differ
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(
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DataFrame({"A": Categorical(["a", "b"]), "B": Categorical(["b", "c"])}),
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False,
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),
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],
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)
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def test_is_homogeneous_type(data, expected):
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assert data._is_homogeneous_type is expected
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