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155 lines
4.2 KiB
155 lines
4.2 KiB
"""
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Assertion helpers for arithmetic tests.
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"""
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import numpy as np
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import pytest
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from pandas import (
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DataFrame,
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Index,
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Series,
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array,
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)
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import pandas._testing as tm
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from pandas.core.arrays import (
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BooleanArray,
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PandasArray,
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)
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def assert_cannot_add(left, right, msg="cannot add"):
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"""
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Helper to assert that left and right cannot be added.
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Parameters
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----------
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left : object
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right : object
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msg : str, default "cannot add"
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"""
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with pytest.raises(TypeError, match=msg):
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left + right
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with pytest.raises(TypeError, match=msg):
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right + left
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def assert_invalid_addsub_type(left, right, msg=None):
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"""
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Helper to assert that left and right can be neither added nor subtracted.
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Parameters
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----------
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left : object
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right : object
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msg : str or None, default None
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"""
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with pytest.raises(TypeError, match=msg):
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left + right
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with pytest.raises(TypeError, match=msg):
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right + left
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with pytest.raises(TypeError, match=msg):
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left - right
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with pytest.raises(TypeError, match=msg):
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right - left
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def get_upcast_box(left, right, is_cmp: bool = False):
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"""
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Get the box to use for 'expected' in an arithmetic or comparison operation.
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Parameters
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left : Any
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right : Any
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is_cmp : bool, default False
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Whether the operation is a comparison method.
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"""
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if isinstance(left, DataFrame) or isinstance(right, DataFrame):
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return DataFrame
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if isinstance(left, Series) or isinstance(right, Series):
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if is_cmp and isinstance(left, Index):
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# Index does not defer for comparisons
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return np.array
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return Series
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if isinstance(left, Index) or isinstance(right, Index):
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if is_cmp:
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return np.array
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return Index
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return tm.to_array
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def assert_invalid_comparison(left, right, box):
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"""
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Assert that comparison operations with mismatched types behave correctly.
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Parameters
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----------
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left : np.ndarray, ExtensionArray, Index, or Series
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right : object
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box : {pd.DataFrame, pd.Series, pd.Index, pd.array, tm.to_array}
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"""
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# Not for tznaive-tzaware comparison
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# Note: not quite the same as how we do this for tm.box_expected
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xbox = box if box not in [Index, array] else np.array
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def xbox2(x):
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# Eventually we'd like this to be tighter, but for now we'll
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# just exclude PandasArray[bool]
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if isinstance(x, PandasArray):
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return x._ndarray
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if isinstance(x, BooleanArray):
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# NB: we are assuming no pd.NAs for now
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return x.astype(bool)
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return x
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# rev_box: box to use for reversed comparisons
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rev_box = xbox
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if isinstance(right, Index) and isinstance(left, Series):
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rev_box = np.array
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result = xbox2(left == right)
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expected = xbox(np.zeros(result.shape, dtype=np.bool_))
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tm.assert_equal(result, expected)
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result = xbox2(right == left)
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tm.assert_equal(result, rev_box(expected))
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result = xbox2(left != right)
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tm.assert_equal(result, ~expected)
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result = xbox2(right != left)
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tm.assert_equal(result, rev_box(~expected))
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msg = "|".join(
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[
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"Invalid comparison between",
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"Cannot compare type",
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"not supported between",
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"invalid type promotion",
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(
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# GH#36706 npdev 1.20.0 2020-09-28
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r"The DTypes <class 'numpy.dtype\[datetime64\]'> and "
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r"<class 'numpy.dtype\[int64\]'> do not have a common DType. "
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"For example they cannot be stored in a single array unless the "
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"dtype is `object`."
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),
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]
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)
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with pytest.raises(TypeError, match=msg):
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left < right
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with pytest.raises(TypeError, match=msg):
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left <= right
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with pytest.raises(TypeError, match=msg):
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left > right
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with pytest.raises(TypeError, match=msg):
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left >= right
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with pytest.raises(TypeError, match=msg):
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right < left
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with pytest.raises(TypeError, match=msg):
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right <= left
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with pytest.raises(TypeError, match=msg):
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right > left
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with pytest.raises(TypeError, match=msg):
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right >= left
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