554 lines
19 KiB
Python
554 lines
19 KiB
Python
import operator
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import numpy as np
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import pytest
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import pandas._libs.sparse as splib
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import pandas.util._test_decorators as td
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from pandas import Series
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import pandas._testing as tm
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from pandas.core.arrays.sparse import (
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BlockIndex,
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IntIndex,
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make_sparse_index,
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)
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TEST_LENGTH = 20
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plain_case = [
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[0, 7, 15],
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[3, 5, 5],
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[2, 9, 14],
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[2, 3, 5],
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[2, 9, 15],
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[1, 3, 4],
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]
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delete_blocks = [
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[0, 5],
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[4, 4],
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[1],
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[4],
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[1],
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[3],
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]
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split_blocks = [
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[0],
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[10],
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[0, 5],
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[3, 7],
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[0, 5],
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[3, 5],
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]
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skip_block = [
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[10],
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[5],
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[0, 12],
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[5, 3],
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[12],
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[3],
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]
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no_intersect = [
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[0, 10],
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[4, 6],
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[5, 17],
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[4, 2],
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[],
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[],
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]
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one_empty = [
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[0],
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[5],
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[],
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[],
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[],
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[],
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]
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both_empty = [ # type: ignore[var-annotated]
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[],
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[],
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[],
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[],
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[],
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[],
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]
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CASES = [plain_case, delete_blocks, split_blocks, skip_block, no_intersect, one_empty]
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IDS = [
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"plain_case",
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"delete_blocks",
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"split_blocks",
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"skip_block",
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"no_intersect",
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"one_empty",
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]
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class TestSparseIndexUnion:
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@pytest.mark.parametrize(
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"xloc, xlen, yloc, ylen, eloc, elen",
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[
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[[0], [5], [5], [4], [0], [9]],
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[[0, 10], [5, 5], [2, 17], [5, 2], [0, 10, 17], [7, 5, 2]],
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[[1], [5], [3], [5], [1], [7]],
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[[2, 10], [4, 4], [4], [8], [2], [12]],
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[[0, 5], [3, 5], [0], [7], [0], [10]],
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[[2, 10], [4, 4], [4, 13], [8, 4], [2], [15]],
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[[2], [15], [4, 9, 14], [3, 2, 2], [2], [15]],
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[[0, 10], [3, 3], [5, 15], [2, 2], [0, 5, 10, 15], [3, 2, 3, 2]],
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],
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)
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def test_index_make_union(self, xloc, xlen, yloc, ylen, eloc, elen):
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# Case 1
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# x: ----
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# y: ----
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# r: --------
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# Case 2
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# x: ----- -----
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# y: ----- --
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# Case 3
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# x: ------
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# y: -------
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# r: ----------
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# Case 4
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# x: ------ -----
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# y: -------
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# r: -------------
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# Case 5
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# x: --- -----
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# y: -------
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# r: -------------
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# Case 6
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# x: ------ -----
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# y: ------- ---
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# r: -------------
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# Case 7
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# x: ----------------------
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# y: ---- ---- ---
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# r: ----------------------
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# Case 8
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# x: ---- ---
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# y: --- ---
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xindex = BlockIndex(TEST_LENGTH, xloc, xlen)
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yindex = BlockIndex(TEST_LENGTH, yloc, ylen)
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bresult = xindex.make_union(yindex)
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assert isinstance(bresult, BlockIndex)
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tm.assert_numpy_array_equal(bresult.blocs, np.array(eloc, dtype=np.int32))
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tm.assert_numpy_array_equal(bresult.blengths, np.array(elen, dtype=np.int32))
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ixindex = xindex.to_int_index()
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iyindex = yindex.to_int_index()
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iresult = ixindex.make_union(iyindex)
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assert isinstance(iresult, IntIndex)
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tm.assert_numpy_array_equal(iresult.indices, bresult.to_int_index().indices)
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def test_int_index_make_union(self):
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a = IntIndex(5, np.array([0, 3, 4], dtype=np.int32))
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b = IntIndex(5, np.array([0, 2], dtype=np.int32))
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res = a.make_union(b)
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exp = IntIndex(5, np.array([0, 2, 3, 4], np.int32))
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assert res.equals(exp)
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a = IntIndex(5, np.array([], dtype=np.int32))
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b = IntIndex(5, np.array([0, 2], dtype=np.int32))
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res = a.make_union(b)
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exp = IntIndex(5, np.array([0, 2], np.int32))
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assert res.equals(exp)
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a = IntIndex(5, np.array([], dtype=np.int32))
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b = IntIndex(5, np.array([], dtype=np.int32))
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res = a.make_union(b)
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exp = IntIndex(5, np.array([], np.int32))
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assert res.equals(exp)
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a = IntIndex(5, np.array([0, 1, 2, 3, 4], dtype=np.int32))
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b = IntIndex(5, np.array([0, 1, 2, 3, 4], dtype=np.int32))
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res = a.make_union(b)
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exp = IntIndex(5, np.array([0, 1, 2, 3, 4], np.int32))
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assert res.equals(exp)
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a = IntIndex(5, np.array([0, 1], dtype=np.int32))
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b = IntIndex(4, np.array([0, 1], dtype=np.int32))
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msg = "Indices must reference same underlying length"
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with pytest.raises(ValueError, match=msg):
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a.make_union(b)
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class TestSparseIndexIntersect:
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@td.skip_if_windows
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@pytest.mark.parametrize("xloc, xlen, yloc, ylen, eloc, elen", CASES, ids=IDS)
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def test_intersect(self, xloc, xlen, yloc, ylen, eloc, elen):
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xindex = BlockIndex(TEST_LENGTH, xloc, xlen)
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yindex = BlockIndex(TEST_LENGTH, yloc, ylen)
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expected = BlockIndex(TEST_LENGTH, eloc, elen)
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longer_index = BlockIndex(TEST_LENGTH + 1, yloc, ylen)
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result = xindex.intersect(yindex)
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assert result.equals(expected)
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result = xindex.to_int_index().intersect(yindex.to_int_index())
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assert result.equals(expected.to_int_index())
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msg = "Indices must reference same underlying length"
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with pytest.raises(Exception, match=msg):
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xindex.intersect(longer_index)
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with pytest.raises(Exception, match=msg):
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xindex.to_int_index().intersect(longer_index.to_int_index())
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def test_intersect_empty(self):
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xindex = IntIndex(4, np.array([], dtype=np.int32))
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yindex = IntIndex(4, np.array([2, 3], dtype=np.int32))
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assert xindex.intersect(yindex).equals(xindex)
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assert yindex.intersect(xindex).equals(xindex)
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xindex = xindex.to_block_index()
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yindex = yindex.to_block_index()
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assert xindex.intersect(yindex).equals(xindex)
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assert yindex.intersect(xindex).equals(xindex)
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@pytest.mark.parametrize(
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"case",
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[
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IntIndex(5, np.array([1, 2], dtype=np.int32)), # type: ignore[arg-type]
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IntIndex(5, np.array([0, 2, 4], dtype=np.int32)), # type: ignore[arg-type]
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IntIndex(0, np.array([], dtype=np.int32)), # type: ignore[arg-type]
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IntIndex(5, np.array([], dtype=np.int32)), # type: ignore[arg-type]
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],
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)
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def test_intersect_identical(self, case):
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assert case.intersect(case).equals(case)
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case = case.to_block_index()
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assert case.intersect(case).equals(case)
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class TestSparseIndexCommon:
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def test_int_internal(self):
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idx = make_sparse_index(4, np.array([2, 3], dtype=np.int32), kind="integer")
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assert isinstance(idx, IntIndex)
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assert idx.npoints == 2
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tm.assert_numpy_array_equal(idx.indices, np.array([2, 3], dtype=np.int32))
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idx = make_sparse_index(4, np.array([], dtype=np.int32), kind="integer")
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assert isinstance(idx, IntIndex)
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assert idx.npoints == 0
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tm.assert_numpy_array_equal(idx.indices, np.array([], dtype=np.int32))
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idx = make_sparse_index(
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4, np.array([0, 1, 2, 3], dtype=np.int32), kind="integer"
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)
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assert isinstance(idx, IntIndex)
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assert idx.npoints == 4
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tm.assert_numpy_array_equal(idx.indices, np.array([0, 1, 2, 3], dtype=np.int32))
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def test_block_internal(self):
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idx = make_sparse_index(4, np.array([2, 3], dtype=np.int32), kind="block")
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assert isinstance(idx, BlockIndex)
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assert idx.npoints == 2
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tm.assert_numpy_array_equal(idx.blocs, np.array([2], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths, np.array([2], dtype=np.int32))
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idx = make_sparse_index(4, np.array([], dtype=np.int32), kind="block")
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assert isinstance(idx, BlockIndex)
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assert idx.npoints == 0
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tm.assert_numpy_array_equal(idx.blocs, np.array([], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths, np.array([], dtype=np.int32))
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idx = make_sparse_index(4, np.array([0, 1, 2, 3], dtype=np.int32), kind="block")
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assert isinstance(idx, BlockIndex)
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assert idx.npoints == 4
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tm.assert_numpy_array_equal(idx.blocs, np.array([0], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths, np.array([4], dtype=np.int32))
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idx = make_sparse_index(4, np.array([0, 2, 3], dtype=np.int32), kind="block")
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assert isinstance(idx, BlockIndex)
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assert idx.npoints == 3
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tm.assert_numpy_array_equal(idx.blocs, np.array([0, 2], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths, np.array([1, 2], dtype=np.int32))
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@pytest.mark.parametrize("kind", ["integer", "block"])
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def test_lookup(self, kind):
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idx = make_sparse_index(4, np.array([2, 3], dtype=np.int32), kind=kind)
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assert idx.lookup(-1) == -1
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assert idx.lookup(0) == -1
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assert idx.lookup(1) == -1
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assert idx.lookup(2) == 0
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assert idx.lookup(3) == 1
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assert idx.lookup(4) == -1
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idx = make_sparse_index(4, np.array([], dtype=np.int32), kind=kind)
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for i in range(-1, 5):
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assert idx.lookup(i) == -1
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idx = make_sparse_index(4, np.array([0, 1, 2, 3], dtype=np.int32), kind=kind)
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assert idx.lookup(-1) == -1
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assert idx.lookup(0) == 0
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assert idx.lookup(1) == 1
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assert idx.lookup(2) == 2
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assert idx.lookup(3) == 3
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assert idx.lookup(4) == -1
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idx = make_sparse_index(4, np.array([0, 2, 3], dtype=np.int32), kind=kind)
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assert idx.lookup(-1) == -1
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assert idx.lookup(0) == 0
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assert idx.lookup(1) == -1
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assert idx.lookup(2) == 1
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assert idx.lookup(3) == 2
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assert idx.lookup(4) == -1
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@pytest.mark.parametrize("kind", ["integer", "block"])
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def test_lookup_array(self, kind):
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idx = make_sparse_index(4, np.array([2, 3], dtype=np.int32), kind=kind)
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res = idx.lookup_array(np.array([-1, 0, 2], dtype=np.int32))
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exp = np.array([-1, -1, 0], dtype=np.int32)
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tm.assert_numpy_array_equal(res, exp)
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res = idx.lookup_array(np.array([4, 2, 1, 3], dtype=np.int32))
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exp = np.array([-1, 0, -1, 1], dtype=np.int32)
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tm.assert_numpy_array_equal(res, exp)
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idx = make_sparse_index(4, np.array([], dtype=np.int32), kind=kind)
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res = idx.lookup_array(np.array([-1, 0, 2, 4], dtype=np.int32))
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exp = np.array([-1, -1, -1, -1], dtype=np.int32)
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tm.assert_numpy_array_equal(res, exp)
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idx = make_sparse_index(4, np.array([0, 1, 2, 3], dtype=np.int32), kind=kind)
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res = idx.lookup_array(np.array([-1, 0, 2], dtype=np.int32))
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exp = np.array([-1, 0, 2], dtype=np.int32)
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tm.assert_numpy_array_equal(res, exp)
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res = idx.lookup_array(np.array([4, 2, 1, 3], dtype=np.int32))
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exp = np.array([-1, 2, 1, 3], dtype=np.int32)
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tm.assert_numpy_array_equal(res, exp)
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idx = make_sparse_index(4, np.array([0, 2, 3], dtype=np.int32), kind=kind)
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res = idx.lookup_array(np.array([2, 1, 3, 0], dtype=np.int32))
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exp = np.array([1, -1, 2, 0], dtype=np.int32)
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tm.assert_numpy_array_equal(res, exp)
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res = idx.lookup_array(np.array([1, 4, 2, 5], dtype=np.int32))
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exp = np.array([-1, -1, 1, -1], dtype=np.int32)
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tm.assert_numpy_array_equal(res, exp)
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@pytest.mark.parametrize(
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"idx, expected",
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[
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[0, -1],
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[5, 0],
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[7, 2],
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[8, -1],
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[9, -1],
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[10, -1],
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[11, -1],
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[12, 3],
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[17, 8],
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[18, -1],
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],
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)
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def test_lookup_basics(self, idx, expected):
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bindex = BlockIndex(20, [5, 12], [3, 6])
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assert bindex.lookup(idx) == expected
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iindex = bindex.to_int_index()
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assert iindex.lookup(idx) == expected
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class TestBlockIndex:
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def test_block_internal(self):
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idx = make_sparse_index(4, np.array([2, 3], dtype=np.int32), kind="block")
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assert isinstance(idx, BlockIndex)
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assert idx.npoints == 2
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tm.assert_numpy_array_equal(idx.blocs, np.array([2], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths, np.array([2], dtype=np.int32))
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idx = make_sparse_index(4, np.array([], dtype=np.int32), kind="block")
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assert isinstance(idx, BlockIndex)
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assert idx.npoints == 0
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tm.assert_numpy_array_equal(idx.blocs, np.array([], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths, np.array([], dtype=np.int32))
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idx = make_sparse_index(4, np.array([0, 1, 2, 3], dtype=np.int32), kind="block")
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assert isinstance(idx, BlockIndex)
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assert idx.npoints == 4
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tm.assert_numpy_array_equal(idx.blocs, np.array([0], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths, np.array([4], dtype=np.int32))
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idx = make_sparse_index(4, np.array([0, 2, 3], dtype=np.int32), kind="block")
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assert isinstance(idx, BlockIndex)
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assert idx.npoints == 3
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tm.assert_numpy_array_equal(idx.blocs, np.array([0, 2], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths, np.array([1, 2], dtype=np.int32))
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@pytest.mark.parametrize("i", [5, 10, 100, 101])
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def test_make_block_boundary(self, i):
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idx = make_sparse_index(i, np.arange(0, i, 2, dtype=np.int32), kind="block")
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exp = np.arange(0, i, 2, dtype=np.int32)
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tm.assert_numpy_array_equal(idx.blocs, exp)
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tm.assert_numpy_array_equal(idx.blengths, np.ones(len(exp), dtype=np.int32))
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def test_equals(self):
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index = BlockIndex(10, [0, 4], [2, 5])
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assert index.equals(index)
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assert not index.equals(BlockIndex(10, [0, 4], [2, 6]))
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def test_check_integrity(self):
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locs = []
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lengths = []
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# 0-length OK
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BlockIndex(0, locs, lengths)
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# also OK even though empty
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BlockIndex(1, locs, lengths)
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msg = "Block 0 extends beyond end"
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with pytest.raises(ValueError, match=msg):
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BlockIndex(10, [5], [10])
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msg = "Block 0 overlaps"
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with pytest.raises(ValueError, match=msg):
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BlockIndex(10, [2, 5], [5, 3])
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def test_to_int_index(self):
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locs = [0, 10]
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lengths = [4, 6]
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exp_inds = [0, 1, 2, 3, 10, 11, 12, 13, 14, 15]
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block = BlockIndex(20, locs, lengths)
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dense = block.to_int_index()
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tm.assert_numpy_array_equal(dense.indices, np.array(exp_inds, dtype=np.int32))
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def test_to_block_index(self):
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index = BlockIndex(10, [0, 5], [4, 5])
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assert index.to_block_index() is index
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class TestIntIndex:
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def test_check_integrity(self):
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# Too many indices than specified in self.length
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msg = "Too many indices"
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with pytest.raises(ValueError, match=msg):
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IntIndex(length=1, indices=[1, 2, 3])
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# No index can be negative.
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msg = "No index can be less than zero"
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with pytest.raises(ValueError, match=msg):
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IntIndex(length=5, indices=[1, -2, 3])
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# No index can be negative.
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msg = "No index can be less than zero"
|
|
|
|
with pytest.raises(ValueError, match=msg):
|
|
IntIndex(length=5, indices=[1, -2, 3])
|
|
|
|
# All indices must be less than the length.
|
|
msg = "All indices must be less than the length"
|
|
|
|
with pytest.raises(ValueError, match=msg):
|
|
IntIndex(length=5, indices=[1, 2, 5])
|
|
|
|
with pytest.raises(ValueError, match=msg):
|
|
IntIndex(length=5, indices=[1, 2, 6])
|
|
|
|
# Indices must be strictly ascending.
|
|
msg = "Indices must be strictly increasing"
|
|
|
|
with pytest.raises(ValueError, match=msg):
|
|
IntIndex(length=5, indices=[1, 3, 2])
|
|
|
|
with pytest.raises(ValueError, match=msg):
|
|
IntIndex(length=5, indices=[1, 3, 3])
|
|
|
|
def test_int_internal(self):
|
|
idx = make_sparse_index(4, np.array([2, 3], dtype=np.int32), kind="integer")
|
|
assert isinstance(idx, IntIndex)
|
|
assert idx.npoints == 2
|
|
tm.assert_numpy_array_equal(idx.indices, np.array([2, 3], dtype=np.int32))
|
|
|
|
idx = make_sparse_index(4, np.array([], dtype=np.int32), kind="integer")
|
|
assert isinstance(idx, IntIndex)
|
|
assert idx.npoints == 0
|
|
tm.assert_numpy_array_equal(idx.indices, np.array([], dtype=np.int32))
|
|
|
|
idx = make_sparse_index(
|
|
4, np.array([0, 1, 2, 3], dtype=np.int32), kind="integer"
|
|
)
|
|
assert isinstance(idx, IntIndex)
|
|
assert idx.npoints == 4
|
|
tm.assert_numpy_array_equal(idx.indices, np.array([0, 1, 2, 3], dtype=np.int32))
|
|
|
|
def test_equals(self):
|
|
index = IntIndex(10, [0, 1, 2, 3, 4])
|
|
assert index.equals(index)
|
|
assert not index.equals(IntIndex(10, [0, 1, 2, 3]))
|
|
|
|
@pytest.mark.parametrize("xloc, xlen, yloc, ylen, eloc, elen", CASES, ids=IDS)
|
|
def test_to_block_index(self, xloc, xlen, yloc, ylen, eloc, elen):
|
|
xindex = BlockIndex(TEST_LENGTH, xloc, xlen)
|
|
yindex = BlockIndex(TEST_LENGTH, yloc, ylen)
|
|
|
|
# see if survive the round trip
|
|
xbindex = xindex.to_int_index().to_block_index()
|
|
ybindex = yindex.to_int_index().to_block_index()
|
|
assert isinstance(xbindex, BlockIndex)
|
|
assert xbindex.equals(xindex)
|
|
assert ybindex.equals(yindex)
|
|
|
|
def test_to_int_index(self):
|
|
index = IntIndex(10, [2, 3, 4, 5, 6])
|
|
assert index.to_int_index() is index
|
|
|
|
|
|
class TestSparseOperators:
|
|
@pytest.mark.parametrize("opname", ["add", "sub", "mul", "truediv", "floordiv"])
|
|
@pytest.mark.parametrize("xloc, xlen, yloc, ylen, eloc, elen", CASES, ids=IDS)
|
|
def test_op(self, opname, xloc, xlen, yloc, ylen, eloc, elen):
|
|
sparse_op = getattr(splib, f"sparse_{opname}_float64")
|
|
python_op = getattr(operator, opname)
|
|
|
|
xindex = BlockIndex(TEST_LENGTH, xloc, xlen)
|
|
yindex = BlockIndex(TEST_LENGTH, yloc, ylen)
|
|
|
|
xdindex = xindex.to_int_index()
|
|
ydindex = yindex.to_int_index()
|
|
|
|
x = np.arange(xindex.npoints) * 10.0 + 1
|
|
y = np.arange(yindex.npoints) * 100.0 + 1
|
|
|
|
xfill = 0
|
|
yfill = 2
|
|
|
|
result_block_vals, rb_index, bfill = sparse_op(
|
|
x, xindex, xfill, y, yindex, yfill
|
|
)
|
|
result_int_vals, ri_index, ifill = sparse_op(
|
|
x, xdindex, xfill, y, ydindex, yfill
|
|
)
|
|
|
|
assert rb_index.to_int_index().equals(ri_index)
|
|
tm.assert_numpy_array_equal(result_block_vals, result_int_vals)
|
|
assert bfill == ifill
|
|
|
|
# check versus Series...
|
|
xseries = Series(x, xdindex.indices)
|
|
xseries = xseries.reindex(np.arange(TEST_LENGTH)).fillna(xfill)
|
|
|
|
yseries = Series(y, ydindex.indices)
|
|
yseries = yseries.reindex(np.arange(TEST_LENGTH)).fillna(yfill)
|
|
|
|
series_result = python_op(xseries, yseries)
|
|
series_result = series_result.reindex(ri_index.indices)
|
|
|
|
tm.assert_numpy_array_equal(result_block_vals, series_result.values)
|
|
tm.assert_numpy_array_equal(result_int_vals, series_result.values)
|