617 lines
22 KiB
Python
617 lines
22 KiB
Python
from pandas import Series
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import pytest
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import numpy as np
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import operator
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import pandas.util.testing as tm
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import pandas.util._test_decorators as td
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from pandas.core.sparse.array import IntIndex, BlockIndex, _make_index
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import pandas._libs.sparse as splib
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TEST_LENGTH = 20
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plain_case = dict(xloc=[0, 7, 15], xlen=[3, 5, 5], yloc=[2, 9, 14],
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ylen=[2, 3, 5], intersect_loc=[2, 9, 15],
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intersect_len=[1, 3, 4])
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delete_blocks = dict(xloc=[0, 5], xlen=[4, 4], yloc=[1], ylen=[4],
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intersect_loc=[1], intersect_len=[3])
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split_blocks = dict(xloc=[0], xlen=[10], yloc=[0, 5], ylen=[3, 7],
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intersect_loc=[0, 5], intersect_len=[3, 5])
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skip_block = dict(xloc=[10], xlen=[5], yloc=[0, 12], ylen=[5, 3],
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intersect_loc=[12], intersect_len=[3])
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no_intersect = dict(xloc=[0, 10], xlen=[4, 6], yloc=[5, 17], ylen=[4, 2],
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intersect_loc=[], intersect_len=[])
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def check_cases(_check_case):
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def _check_case_dict(case):
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_check_case(case['xloc'], case['xlen'], case['yloc'], case['ylen'],
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case['intersect_loc'], case['intersect_len'])
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_check_case_dict(plain_case)
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_check_case_dict(delete_blocks)
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_check_case_dict(split_blocks)
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_check_case_dict(skip_block)
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_check_case_dict(no_intersect)
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# one or both is empty
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_check_case([0], [5], [], [], [], [])
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_check_case([], [], [], [], [], [])
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class TestSparseIndexUnion(object):
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def test_index_make_union(self):
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def _check_case(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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bresult = xindex.make_union(yindex)
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assert (isinstance(bresult, BlockIndex))
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tm.assert_numpy_array_equal(bresult.blocs,
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np.array(eloc, dtype=np.int32))
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tm.assert_numpy_array_equal(bresult.blengths,
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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,
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bresult.to_int_index().indices)
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"""
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x: ----
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y: ----
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r: --------
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"""
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xloc = [0]
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xlen = [5]
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yloc = [5]
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ylen = [4]
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eloc = [0]
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elen = [9]
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_check_case(xloc, xlen, yloc, ylen, eloc, elen)
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"""
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x: ----- -----
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y: ----- --
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"""
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xloc = [0, 10]
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xlen = [5, 5]
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yloc = [2, 17]
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ylen = [5, 2]
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eloc = [0, 10, 17]
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elen = [7, 5, 2]
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_check_case(xloc, xlen, yloc, ylen, eloc, elen)
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"""
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x: ------
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y: -------
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r: ----------
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"""
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xloc = [1]
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xlen = [5]
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yloc = [3]
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ylen = [5]
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eloc = [1]
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elen = [7]
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_check_case(xloc, xlen, yloc, ylen, eloc, elen)
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"""
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x: ------ -----
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y: -------
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r: -------------
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"""
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xloc = [2, 10]
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xlen = [4, 4]
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yloc = [4]
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ylen = [8]
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eloc = [2]
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elen = [12]
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_check_case(xloc, xlen, yloc, ylen, eloc, elen)
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"""
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x: --- -----
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y: -------
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r: -------------
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"""
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xloc = [0, 5]
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xlen = [3, 5]
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yloc = [0]
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ylen = [7]
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eloc = [0]
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elen = [10]
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_check_case(xloc, xlen, yloc, ylen, eloc, elen)
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"""
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x: ------ -----
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y: ------- ---
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r: -------------
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"""
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xloc = [2, 10]
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xlen = [4, 4]
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yloc = [4, 13]
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ylen = [8, 4]
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eloc = [2]
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elen = [15]
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_check_case(xloc, xlen, yloc, ylen, eloc, elen)
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"""
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x: ----------------------
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y: ---- ---- ---
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r: ----------------------
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"""
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xloc = [2]
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xlen = [15]
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yloc = [4, 9, 14]
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ylen = [3, 2, 2]
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eloc = [2]
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elen = [15]
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_check_case(xloc, xlen, yloc, ylen, eloc, elen)
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"""
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x: ---- ---
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y: --- ---
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"""
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xloc = [0, 10]
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xlen = [3, 3]
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yloc = [5, 15]
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ylen = [2, 2]
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eloc = [0, 5, 10, 15]
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elen = [3, 2, 3, 2]
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_check_case(xloc, xlen, yloc, ylen, eloc, elen)
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def test_intindex_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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with pytest.raises(ValueError):
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a.make_union(b)
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class TestSparseIndexIntersect(object):
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@td.skip_if_windows
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def test_intersect(self):
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def _check_correct(a, b, expected):
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result = a.intersect(b)
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assert (result.equals(expected))
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def _check_length_exc(a, longer):
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pytest.raises(Exception, a.intersect, longer)
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def _check_case(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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_check_correct(xindex, yindex, expected)
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_check_correct(xindex.to_int_index(), yindex.to_int_index(),
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expected.to_int_index())
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_check_length_exc(xindex, longer_index)
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_check_length_exc(xindex.to_int_index(),
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longer_index.to_int_index())
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check_cases(_check_case)
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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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def test_intersect_identical(self):
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cases = [IntIndex(5, np.array([1, 2], dtype=np.int32)),
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IntIndex(5, np.array([0, 2, 4], dtype=np.int32)),
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IntIndex(0, np.array([], dtype=np.int32)),
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IntIndex(5, np.array([], dtype=np.int32))]
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for case in cases:
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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(object):
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def test_int_internal(self):
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idx = _make_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,
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np.array([2, 3], dtype=np.int32))
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idx = _make_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,
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np.array([], dtype=np.int32))
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idx = _make_index(4, np.array([0, 1, 2, 3], dtype=np.int32),
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kind='integer')
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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,
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np.array([0, 1, 2, 3], dtype=np.int32))
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def test_block_internal(self):
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idx = _make_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,
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np.array([2], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths,
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np.array([2], dtype=np.int32))
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idx = _make_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,
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np.array([], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths,
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np.array([], dtype=np.int32))
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idx = _make_index(4, np.array([0, 1, 2, 3], dtype=np.int32),
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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,
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np.array([0], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths,
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np.array([4], dtype=np.int32))
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idx = _make_index(4, np.array([0, 2, 3], dtype=np.int32),
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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,
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np.array([0, 2], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths,
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np.array([1, 2], dtype=np.int32))
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def test_lookup(self):
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for kind in ['integer', 'block']:
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idx = _make_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_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_index(4, np.array([0, 1, 2, 3], dtype=np.int32),
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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_index(4, np.array([0, 2, 3], dtype=np.int32),
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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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def test_lookup_array(self):
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for kind in ['integer', 'block']:
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idx = _make_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_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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idx = _make_index(4, np.array([0, 1, 2, 3], dtype=np.int32),
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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_index(4, np.array([0, 2, 3], dtype=np.int32),
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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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def test_lookup_basics(self):
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def _check(index):
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assert (index.lookup(0) == -1)
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assert (index.lookup(5) == 0)
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assert (index.lookup(7) == 2)
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assert (index.lookup(8) == -1)
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assert (index.lookup(9) == -1)
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assert (index.lookup(10) == -1)
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assert (index.lookup(11) == -1)
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assert (index.lookup(12) == 3)
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assert (index.lookup(17) == 8)
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assert (index.lookup(18) == -1)
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bindex = BlockIndex(20, [5, 12], [3, 6])
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iindex = bindex.to_int_index()
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_check(bindex)
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_check(iindex)
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# corner cases
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class TestBlockIndex(object):
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def test_block_internal(self):
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idx = _make_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,
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np.array([2], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths,
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np.array([2], dtype=np.int32))
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idx = _make_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,
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np.array([], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths,
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np.array([], dtype=np.int32))
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idx = _make_index(4, np.array([0, 1, 2, 3], dtype=np.int32),
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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,
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np.array([0], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths,
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np.array([4], dtype=np.int32))
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idx = _make_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,
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np.array([0, 2], dtype=np.int32))
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tm.assert_numpy_array_equal(idx.blengths,
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np.array([1, 2], dtype=np.int32))
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def test_make_block_boundary(self):
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for i in [5, 10, 100, 101]:
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idx = _make_index(i, np.arange(0, i, 2, dtype=np.int32),
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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,
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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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# TODO: index variables are not used...is that right?
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index = BlockIndex(0, locs, lengths) # noqa
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# also OK even though empty
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index = BlockIndex(1, locs, lengths) # noqa
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# block extend beyond end
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pytest.raises(Exception, BlockIndex, 10, [5], [10])
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# block overlap
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pytest.raises(Exception, 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,
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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(object):
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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 tm.assert_raises_regex(ValueError, 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 tm.assert_raises_regex(ValueError, msg):
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IntIndex(length=5, indices=[1, -2, 3])
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|
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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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|
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with tm.assert_raises_regex(ValueError, msg):
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IntIndex(length=5, indices=[1, -2, 3])
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|
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# All indices must be less than the length.
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msg = "All indices must be less than the length"
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|
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with tm.assert_raises_regex(ValueError, msg):
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IntIndex(length=5, indices=[1, 2, 5])
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|
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with tm.assert_raises_regex(ValueError, msg):
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IntIndex(length=5, indices=[1, 2, 6])
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|
|
|
# Indices must be strictly ascending.
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|
msg = "Indices must be strictly increasing"
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|
|
|
with tm.assert_raises_regex(ValueError, msg):
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IntIndex(length=5, indices=[1, 3, 2])
|
|
|
|
with tm.assert_raises_regex(ValueError, msg):
|
|
IntIndex(length=5, indices=[1, 3, 3])
|
|
|
|
def test_int_internal(self):
|
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idx = _make_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_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_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]))
|
|
|
|
def test_to_block_index(self):
|
|
|
|
def _check_case(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)
|
|
|
|
check_cases(_check_case)
|
|
|
|
def test_to_int_index(self):
|
|
index = IntIndex(10, [2, 3, 4, 5, 6])
|
|
assert index.to_int_index() is index
|
|
|
|
|
|
class TestSparseOperators(object):
|
|
|
|
def _op_tests(self, sparse_op, python_op):
|
|
def _check_case(xloc, xlen, yloc, ylen, eloc, elen):
|
|
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. + 1
|
|
y = np.arange(yindex.npoints) * 100. + 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)
|
|
|
|
check_cases(_check_case)
|
|
|
|
|
|
# too cute? oh but how I abhor code duplication
|
|
check_ops = ['add', 'sub', 'mul', 'truediv', 'floordiv']
|
|
|
|
|
|
def make_optestf(op):
|
|
def f(self):
|
|
sparse_op = getattr(splib, 'sparse_%s_float64' % op)
|
|
python_op = getattr(operator, op)
|
|
self._op_tests(sparse_op, python_op)
|
|
|
|
f.__name__ = 'test_%s' % op
|
|
return f
|
|
|
|
|
|
for op in check_ops:
|
|
g = make_optestf(op)
|
|
setattr(TestSparseOperators, g.__name__, g)
|
|
del g
|