import numpy as np
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import pytest
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from pandas import (
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Index,
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IntervalIndex,
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Timestamp,
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interval_range,
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)
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import pandas._testing as tm
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def monotonic_index(start, end, dtype="int64", closed="right"):
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return IntervalIndex.from_breaks(np.arange(start, end, dtype=dtype), closed=closed)
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def empty_index(dtype="int64", closed="right"):
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return IntervalIndex(np.array([], dtype=dtype), closed=closed)
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class TestIntervalIndex:
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def test_union(self, closed, sort):
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index = monotonic_index(0, 11, closed=closed)
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other = monotonic_index(5, 13, closed=closed)
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expected = monotonic_index(0, 13, closed=closed)
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result = index[::-1].union(other, sort=sort)
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if sort is None:
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tm.assert_index_equal(result, expected)
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assert tm.equalContents(result, expected)
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result = other[::-1].union(index, sort=sort)
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if sort is None:
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tm.assert_index_equal(result, expected)
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assert tm.equalContents(result, expected)
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tm.assert_index_equal(index.union(index, sort=sort), index)
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tm.assert_index_equal(index.union(index[:1], sort=sort), index)
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def test_union_empty_result(self, closed, sort):
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# GH 19101: empty result, same dtype
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index = empty_index(dtype="int64", closed=closed)
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result = index.union(index, sort=sort)
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tm.assert_index_equal(result, index)
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# GH 19101: empty result, different numeric dtypes -> common dtype is f8
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other = empty_index(dtype="float64", closed=closed)
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result = index.union(other, sort=sort)
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expected = other
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tm.assert_index_equal(result, expected)
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other = index.union(index, sort=sort)
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tm.assert_index_equal(result, expected)
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other = empty_index(dtype="uint64", closed=closed)
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result = index.union(other, sort=sort)
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tm.assert_index_equal(result, expected)
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result = other.union(index, sort=sort)
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tm.assert_index_equal(result, expected)
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def test_intersection(self, closed, sort):
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index = monotonic_index(0, 11, closed=closed)
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other = monotonic_index(5, 13, closed=closed)
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expected = monotonic_index(5, 11, closed=closed)
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result = index[::-1].intersection(other, sort=sort)
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if sort is None:
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tm.assert_index_equal(result, expected)
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assert tm.equalContents(result, expected)
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result = other[::-1].intersection(index, sort=sort)
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if sort is None:
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tm.assert_index_equal(result, expected)
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assert tm.equalContents(result, expected)
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tm.assert_index_equal(index.intersection(index, sort=sort), index)
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# GH 26225: nested intervals
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index = IntervalIndex.from_tuples([(1, 2), (1, 3), (1, 4), (0, 2)])
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other = IntervalIndex.from_tuples([(1, 2), (1, 3)])
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expected = IntervalIndex.from_tuples([(1, 2), (1, 3)])
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result = index.intersection(other)
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tm.assert_index_equal(result, expected)
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# GH 26225
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index = IntervalIndex.from_tuples([(0, 3), (0, 2)])
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other = IntervalIndex.from_tuples([(0, 2), (1, 3)])
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expected = IntervalIndex.from_tuples([(0, 2)])
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result = index.intersection(other)
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tm.assert_index_equal(result, expected)
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# GH 26225: duplicate nan element
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index = IntervalIndex([np.nan, np.nan])
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other = IntervalIndex([np.nan])
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expected = IntervalIndex([np.nan])
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result = index.intersection(other)
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tm.assert_index_equal(result, expected)
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def test_intersection_empty_result(self, closed, sort):
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index = monotonic_index(0, 11, closed=closed)
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# GH 19101: empty result, same dtype
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other = monotonic_index(300, 314, closed=closed)
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expected = empty_index(dtype="int64", closed=closed)
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result = index.intersection(other, sort=sort)
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tm.assert_index_equal(result, expected)
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# GH 19101: empty result, different numeric dtypes -> common dtype is float64
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other = monotonic_index(300, 314, dtype="float64", closed=closed)
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result = index.intersection(other, sort=sort)
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expected = other[:0]
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tm.assert_index_equal(result, expected)
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other = monotonic_index(300, 314, dtype="uint64", closed=closed)
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result = index.intersection(other, sort=sort)
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tm.assert_index_equal(result, expected)
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def test_intersection_duplicates(self):
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# GH#38743
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index = IntervalIndex.from_tuples([(1, 2), (1, 2), (2, 3), (3, 4)])
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other = IntervalIndex.from_tuples([(1, 2), (2, 3)])
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expected = IntervalIndex.from_tuples([(1, 2), (2, 3)])
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result = index.intersection(other)
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tm.assert_index_equal(result, expected)
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def test_difference(self, closed, sort):
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index = IntervalIndex.from_arrays([1, 0, 3, 2], [1, 2, 3, 4], closed=closed)
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result = index.difference(index[:1], sort=sort)
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expected = index[1:]
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if sort is None:
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expected = expected.sort_values()
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tm.assert_index_equal(result, expected)
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# GH 19101: empty result, same dtype
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result = index.difference(index, sort=sort)
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expected = empty_index(dtype="int64", closed=closed)
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tm.assert_index_equal(result, expected)
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# GH 19101: empty result, different dtypes
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other = IntervalIndex.from_arrays(
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index.left.astype("float64"), index.right, closed=closed
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)
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result = index.difference(other, sort=sort)
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tm.assert_index_equal(result, expected)
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def test_symmetric_difference(self, closed, sort):
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index = monotonic_index(0, 11, closed=closed)
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result = index[1:].symmetric_difference(index[:-1], sort=sort)
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expected = IntervalIndex([index[0], index[-1]])
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if sort is None:
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tm.assert_index_equal(result, expected)
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assert tm.equalContents(result, expected)
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# GH 19101: empty result, same dtype
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result = index.symmetric_difference(index, sort=sort)
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expected = empty_index(dtype="int64", closed=closed)
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if sort is None:
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tm.assert_index_equal(result, expected)
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assert tm.equalContents(result, expected)
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# GH 19101: empty result, different dtypes
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other = IntervalIndex.from_arrays(
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index.left.astype("float64"), index.right, closed=closed
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)
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result = index.symmetric_difference(other, sort=sort)
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expected = empty_index(dtype="float64", closed=closed)
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tm.assert_index_equal(result, expected)
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@pytest.mark.filterwarnings("ignore:'<' not supported between:RuntimeWarning")
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@pytest.mark.parametrize(
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"op_name", ["union", "intersection", "difference", "symmetric_difference"]
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)
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def test_set_incompatible_types(self, closed, op_name, sort):
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index = monotonic_index(0, 11, closed=closed)
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set_op = getattr(index, op_name)
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# TODO: standardize return type of non-union setops type(self vs other)
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# non-IntervalIndex
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if op_name == "difference":
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expected = index
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else:
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expected = getattr(index.astype("O"), op_name)(Index([1, 2, 3]))
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result = set_op(Index([1, 2, 3]), sort=sort)
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tm.assert_index_equal(result, expected)
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# mixed closed -> cast to object
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for other_closed in {"right", "left", "both", "neither"} - {closed}:
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other = monotonic_index(0, 11, closed=other_closed)
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expected = getattr(index.astype(object), op_name)(other, sort=sort)
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if op_name == "difference":
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expected = index
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result = set_op(other, sort=sort)
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tm.assert_index_equal(result, expected)
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# GH 19016: incompatible dtypes -> cast to object
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other = interval_range(Timestamp("20180101"), periods=9, closed=closed)
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expected = getattr(index.astype(object), op_name)(other, sort=sort)
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if op_name == "difference":
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expected = index
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result = set_op(other, sort=sort)
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tm.assert_index_equal(result, expected)
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