import numpy as np
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import pytest
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from pandas import array
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import pandas._testing as tm
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from pandas.core.arrays.sparse import SparseArray
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@pytest.mark.parametrize(
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"kwargs",
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[
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{}, # Default is check_exact=False
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{"check_exact": False},
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{"check_exact": True},
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],
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)
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def test_assert_extension_array_equal_not_exact(kwargs):
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# see gh-23709
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arr1 = SparseArray([-0.17387645482451206, 0.3414148016424936])
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arr2 = SparseArray([-0.17387645482451206, 0.3414148016424937])
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if kwargs.get("check_exact", False):
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msg = """\
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ExtensionArray are different
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ExtensionArray values are different \\(50\\.0 %\\)
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\\[left\\]: \\[-0\\.17387645482.*, 0\\.341414801642.*\\]
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\\[right\\]: \\[-0\\.17387645482.*, 0\\.341414801642.*\\]"""
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with pytest.raises(AssertionError, match=msg):
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tm.assert_extension_array_equal(arr1, arr2, **kwargs)
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else:
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tm.assert_extension_array_equal(arr1, arr2, **kwargs)
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@pytest.mark.parametrize("decimals", range(10))
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def test_assert_extension_array_equal_less_precise(decimals):
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rtol = 0.5 * 10**-decimals
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arr1 = SparseArray([0.5, 0.123456])
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arr2 = SparseArray([0.5, 0.123457])
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if decimals >= 5:
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msg = """\
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ExtensionArray are different
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ExtensionArray values are different \\(50\\.0 %\\)
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\\[left\\]: \\[0\\.5, 0\\.123456\\]
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\\[right\\]: \\[0\\.5, 0\\.123457\\]"""
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with pytest.raises(AssertionError, match=msg):
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tm.assert_extension_array_equal(arr1, arr2, rtol=rtol)
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else:
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tm.assert_extension_array_equal(arr1, arr2, rtol=rtol)
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def test_assert_extension_array_equal_dtype_mismatch(check_dtype):
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end = 5
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kwargs = {"check_dtype": check_dtype}
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arr1 = SparseArray(np.arange(end, dtype="int64"))
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arr2 = SparseArray(np.arange(end, dtype="int32"))
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if check_dtype:
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msg = """\
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ExtensionArray are different
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Attribute "dtype" are different
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\\[left\\]: Sparse\\[int64, 0\\]
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\\[right\\]: Sparse\\[int32, 0\\]"""
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with pytest.raises(AssertionError, match=msg):
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tm.assert_extension_array_equal(arr1, arr2, **kwargs)
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else:
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tm.assert_extension_array_equal(arr1, arr2, **kwargs)
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def test_assert_extension_array_equal_missing_values():
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arr1 = SparseArray([np.nan, 1, 2, np.nan])
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arr2 = SparseArray([np.nan, 1, 2, 3])
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msg = """\
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ExtensionArray NA mask are different
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ExtensionArray NA mask values are different \\(25\\.0 %\\)
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\\[left\\]: \\[True, False, False, True\\]
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\\[right\\]: \\[True, False, False, False\\]"""
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with pytest.raises(AssertionError, match=msg):
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tm.assert_extension_array_equal(arr1, arr2)
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@pytest.mark.parametrize("side", ["left", "right"])
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def test_assert_extension_array_equal_non_extension_array(side):
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numpy_array = np.arange(5)
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extension_array = SparseArray(numpy_array)
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msg = f"{side} is not an ExtensionArray"
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args = (
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(numpy_array, extension_array)
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if side == "left"
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else (extension_array, numpy_array)
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)
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with pytest.raises(AssertionError, match=msg):
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tm.assert_extension_array_equal(*args)
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@pytest.mark.parametrize("right_dtype", ["Int32", "int64"])
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def test_assert_extension_array_equal_ignore_dtype_mismatch(right_dtype):
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# https://github.com/pandas-dev/pandas/issues/35715
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left = array([1, 2, 3], dtype="Int64")
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right = array([1, 2, 3], dtype=right_dtype)
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tm.assert_extension_array_equal(left, right, check_dtype=False)
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