import numpy as np
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import pytest
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import pandas as pd
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from pandas import Index
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import pandas._testing as tm
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def _isnan(val):
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try:
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return val is not pd.NA and np.isnan(val)
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except TypeError:
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return False
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def _equivalent_na(dtype, null):
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if dtype.na_value is pd.NA and null is pd.NA:
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return True
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elif _isnan(dtype.na_value) and _isnan(null):
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return True
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else:
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return False
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class TestGetLoc:
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def test_get_loc(self, any_string_dtype):
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index = Index(["a", "b", "c"], dtype=any_string_dtype)
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assert index.get_loc("b") == 1
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def test_get_loc_raises(self, any_string_dtype):
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index = Index(["a", "b", "c"], dtype=any_string_dtype)
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with pytest.raises(KeyError, match="d"):
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index.get_loc("d")
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def test_get_loc_invalid_value(self, any_string_dtype):
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index = Index(["a", "b", "c"], dtype=any_string_dtype)
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with pytest.raises(KeyError, match="1"):
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index.get_loc(1)
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def test_get_loc_non_unique(self, any_string_dtype):
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index = Index(["a", "b", "a"], dtype=any_string_dtype)
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result = index.get_loc("a")
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expected = np.array([True, False, True])
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tm.assert_numpy_array_equal(result, expected)
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def test_get_loc_non_missing(self, any_string_dtype, nulls_fixture):
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index = Index(["a", "b", "c"], dtype=any_string_dtype)
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with pytest.raises(KeyError):
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index.get_loc(nulls_fixture)
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def test_get_loc_missing(self, any_string_dtype, nulls_fixture):
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index = Index(["a", "b", nulls_fixture], dtype=any_string_dtype)
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assert index.get_loc(nulls_fixture) == 2
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class TestGetIndexer:
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@pytest.mark.parametrize(
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"method,expected",
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[
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("pad", [-1, 0, 1, 1]),
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("backfill", [0, 0, 1, -1]),
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],
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)
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def test_get_indexer_strings(self, any_string_dtype, method, expected):
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expected = np.array(expected, dtype=np.intp)
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index = Index(["b", "c"], dtype=any_string_dtype)
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actual = index.get_indexer(["a", "b", "c", "d"], method=method)
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tm.assert_numpy_array_equal(actual, expected)
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def test_get_indexer_strings_raises(self, any_string_dtype):
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index = Index(["b", "c"], dtype=any_string_dtype)
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msg = "|".join(
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[
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"operation 'sub' not supported for dtype 'str",
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r"unsupported operand type\(s\) for -: 'str' and 'str'",
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]
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)
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with pytest.raises(TypeError, match=msg):
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index.get_indexer(["a", "b", "c", "d"], method="nearest")
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with pytest.raises(TypeError, match=msg):
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index.get_indexer(["a", "b", "c", "d"], method="pad", tolerance=2)
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with pytest.raises(TypeError, match=msg):
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index.get_indexer(
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["a", "b", "c", "d"], method="pad", tolerance=[2, 2, 2, 2]
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)
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@pytest.mark.parametrize("null", [None, np.nan, float("nan"), pd.NA])
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def test_get_indexer_missing(self, any_string_dtype, null, using_infer_string):
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# NaT and Decimal("NaN") from null_fixture are not supported for string dtype
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index = Index(["a", "b", null], dtype=any_string_dtype)
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result = index.get_indexer(["a", null, "c"])
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if using_infer_string:
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expected = np.array([0, 2, -1], dtype=np.intp)
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elif any_string_dtype == "string" and not _equivalent_na(
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any_string_dtype, null
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):
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expected = np.array([0, -1, -1], dtype=np.intp)
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else:
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expected = np.array([0, 2, -1], dtype=np.intp)
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tm.assert_numpy_array_equal(result, expected)
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class TestGetIndexerNonUnique:
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@pytest.mark.parametrize("null", [None, np.nan, float("nan"), pd.NA])
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def test_get_indexer_non_unique_nas(
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self, any_string_dtype, null, using_infer_string
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):
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index = Index(["a", "b", null], dtype=any_string_dtype)
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indexer, missing = index.get_indexer_non_unique(["a", null])
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if using_infer_string:
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expected_indexer = np.array([0, 2], dtype=np.intp)
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expected_missing = np.array([], dtype=np.intp)
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elif any_string_dtype == "string" and not _equivalent_na(
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any_string_dtype, null
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):
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expected_indexer = np.array([0, -1], dtype=np.intp)
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expected_missing = np.array([1], dtype=np.intp)
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else:
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expected_indexer = np.array([0, 2], dtype=np.intp)
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expected_missing = np.array([], dtype=np.intp)
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tm.assert_numpy_array_equal(indexer, expected_indexer)
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tm.assert_numpy_array_equal(missing, expected_missing)
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# actually non-unique
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index = Index(["a", null, "b", null], dtype=any_string_dtype)
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indexer, missing = index.get_indexer_non_unique(["a", null])
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if using_infer_string:
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expected_indexer = np.array([0, 1, 3], dtype=np.intp)
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elif any_string_dtype == "string" and not _equivalent_na(
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any_string_dtype, null
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):
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pass
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else:
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expected_indexer = np.array([0, 1, 3], dtype=np.intp)
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tm.assert_numpy_array_equal(indexer, expected_indexer)
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tm.assert_numpy_array_equal(missing, expected_missing)
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class TestSliceLocs:
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@pytest.mark.parametrize(
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"in_slice,expected",
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[
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# error: Slice index must be an integer or None
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(pd.IndexSlice[::-1], "yxdcb"),
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(pd.IndexSlice["b":"y":-1], ""), # type: ignore[misc]
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(pd.IndexSlice["b"::-1], "b"), # type: ignore[misc]
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(pd.IndexSlice[:"b":-1], "yxdcb"), # type: ignore[misc]
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(pd.IndexSlice[:"y":-1], "y"), # type: ignore[misc]
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(pd.IndexSlice["y"::-1], "yxdcb"), # type: ignore[misc]
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(pd.IndexSlice["y"::-4], "yb"), # type: ignore[misc]
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# absent labels
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(pd.IndexSlice[:"a":-1], "yxdcb"), # type: ignore[misc]
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(pd.IndexSlice[:"a":-2], "ydb"), # type: ignore[misc]
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(pd.IndexSlice["z"::-1], "yxdcb"), # type: ignore[misc]
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(pd.IndexSlice["z"::-3], "yc"), # type: ignore[misc]
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(pd.IndexSlice["m"::-1], "dcb"), # type: ignore[misc]
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(pd.IndexSlice[:"m":-1], "yx"), # type: ignore[misc]
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(pd.IndexSlice["a":"a":-1], ""), # type: ignore[misc]
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(pd.IndexSlice["z":"z":-1], ""), # type: ignore[misc]
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(pd.IndexSlice["m":"m":-1], ""), # type: ignore[misc]
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],
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)
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def test_slice_locs_negative_step(self, in_slice, expected, any_string_dtype):
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index = Index(list("bcdxy"), dtype=any_string_dtype)
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s_start, s_stop = index.slice_locs(in_slice.start, in_slice.stop, in_slice.step)
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result = index[s_start : s_stop : in_slice.step]
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expected = Index(list(expected), dtype=any_string_dtype)
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tm.assert_index_equal(result, expected)
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def test_slice_locs_negative_step_oob(self, any_string_dtype):
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index = Index(list("bcdxy"), dtype=any_string_dtype)
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result = index[-10:5:1]
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tm.assert_index_equal(result, index)
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result = index[4:-10:-1]
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expected = Index(list("yxdcb"), dtype=any_string_dtype)
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tm.assert_index_equal(result, expected)
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def test_slice_locs_dup(self, any_string_dtype):
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index = Index(["a", "a", "b", "c", "d", "d"], dtype=any_string_dtype)
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assert index.slice_locs("a", "d") == (0, 6)
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assert index.slice_locs(end="d") == (0, 6)
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assert index.slice_locs("a", "c") == (0, 4)
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assert index.slice_locs("b", "d") == (2, 6)
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index2 = index[::-1]
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assert index2.slice_locs("d", "a") == (0, 6)
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assert index2.slice_locs(end="a") == (0, 6)
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assert index2.slice_locs("d", "b") == (0, 4)
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assert index2.slice_locs("c", "a") == (2, 6)
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