laywerrobot/lib/python3.6/site-packages/pandas/tests/sparse/test_libsparse.py
2020-08-27 21:55:39 +02:00

617 lines
22 KiB
Python

from pandas import Series
import pytest
import numpy as np
import operator
import pandas.util.testing as tm
import pandas.util._test_decorators as td
from pandas.core.sparse.array import IntIndex, BlockIndex, _make_index
import pandas._libs.sparse as splib
TEST_LENGTH = 20
plain_case = dict(xloc=[0, 7, 15], xlen=[3, 5, 5], yloc=[2, 9, 14],
ylen=[2, 3, 5], intersect_loc=[2, 9, 15],
intersect_len=[1, 3, 4])
delete_blocks = dict(xloc=[0, 5], xlen=[4, 4], yloc=[1], ylen=[4],
intersect_loc=[1], intersect_len=[3])
split_blocks = dict(xloc=[0], xlen=[10], yloc=[0, 5], ylen=[3, 7],
intersect_loc=[0, 5], intersect_len=[3, 5])
skip_block = dict(xloc=[10], xlen=[5], yloc=[0, 12], ylen=[5, 3],
intersect_loc=[12], intersect_len=[3])
no_intersect = dict(xloc=[0, 10], xlen=[4, 6], yloc=[5, 17], ylen=[4, 2],
intersect_loc=[], intersect_len=[])
def check_cases(_check_case):
def _check_case_dict(case):
_check_case(case['xloc'], case['xlen'], case['yloc'], case['ylen'],
case['intersect_loc'], case['intersect_len'])
_check_case_dict(plain_case)
_check_case_dict(delete_blocks)
_check_case_dict(split_blocks)
_check_case_dict(skip_block)
_check_case_dict(no_intersect)
# one or both is empty
_check_case([0], [5], [], [], [], [])
_check_case([], [], [], [], [], [])
class TestSparseIndexUnion(object):
def test_index_make_union(self):
def _check_case(xloc, xlen, yloc, ylen, eloc, elen):
xindex = BlockIndex(TEST_LENGTH, xloc, xlen)
yindex = BlockIndex(TEST_LENGTH, yloc, ylen)
bresult = xindex.make_union(yindex)
assert (isinstance(bresult, BlockIndex))
tm.assert_numpy_array_equal(bresult.blocs,
np.array(eloc, dtype=np.int32))
tm.assert_numpy_array_equal(bresult.blengths,
np.array(elen, dtype=np.int32))
ixindex = xindex.to_int_index()
iyindex = yindex.to_int_index()
iresult = ixindex.make_union(iyindex)
assert (isinstance(iresult, IntIndex))
tm.assert_numpy_array_equal(iresult.indices,
bresult.to_int_index().indices)
"""
x: ----
y: ----
r: --------
"""
xloc = [0]
xlen = [5]
yloc = [5]
ylen = [4]
eloc = [0]
elen = [9]
_check_case(xloc, xlen, yloc, ylen, eloc, elen)
"""
x: ----- -----
y: ----- --
"""
xloc = [0, 10]
xlen = [5, 5]
yloc = [2, 17]
ylen = [5, 2]
eloc = [0, 10, 17]
elen = [7, 5, 2]
_check_case(xloc, xlen, yloc, ylen, eloc, elen)
"""
x: ------
y: -------
r: ----------
"""
xloc = [1]
xlen = [5]
yloc = [3]
ylen = [5]
eloc = [1]
elen = [7]
_check_case(xloc, xlen, yloc, ylen, eloc, elen)
"""
x: ------ -----
y: -------
r: -------------
"""
xloc = [2, 10]
xlen = [4, 4]
yloc = [4]
ylen = [8]
eloc = [2]
elen = [12]
_check_case(xloc, xlen, yloc, ylen, eloc, elen)
"""
x: --- -----
y: -------
r: -------------
"""
xloc = [0, 5]
xlen = [3, 5]
yloc = [0]
ylen = [7]
eloc = [0]
elen = [10]
_check_case(xloc, xlen, yloc, ylen, eloc, elen)
"""
x: ------ -----
y: ------- ---
r: -------------
"""
xloc = [2, 10]
xlen = [4, 4]
yloc = [4, 13]
ylen = [8, 4]
eloc = [2]
elen = [15]
_check_case(xloc, xlen, yloc, ylen, eloc, elen)
"""
x: ----------------------
y: ---- ---- ---
r: ----------------------
"""
xloc = [2]
xlen = [15]
yloc = [4, 9, 14]
ylen = [3, 2, 2]
eloc = [2]
elen = [15]
_check_case(xloc, xlen, yloc, ylen, eloc, elen)
"""
x: ---- ---
y: --- ---
"""
xloc = [0, 10]
xlen = [3, 3]
yloc = [5, 15]
ylen = [2, 2]
eloc = [0, 5, 10, 15]
elen = [3, 2, 3, 2]
_check_case(xloc, xlen, yloc, ylen, eloc, elen)
def test_intindex_make_union(self):
a = IntIndex(5, np.array([0, 3, 4], dtype=np.int32))
b = IntIndex(5, np.array([0, 2], dtype=np.int32))
res = a.make_union(b)
exp = IntIndex(5, np.array([0, 2, 3, 4], np.int32))
assert res.equals(exp)
a = IntIndex(5, np.array([], dtype=np.int32))
b = IntIndex(5, np.array([0, 2], dtype=np.int32))
res = a.make_union(b)
exp = IntIndex(5, np.array([0, 2], np.int32))
assert res.equals(exp)
a = IntIndex(5, np.array([], dtype=np.int32))
b = IntIndex(5, np.array([], dtype=np.int32))
res = a.make_union(b)
exp = IntIndex(5, np.array([], np.int32))
assert res.equals(exp)
a = IntIndex(5, np.array([0, 1, 2, 3, 4], dtype=np.int32))
b = IntIndex(5, np.array([0, 1, 2, 3, 4], dtype=np.int32))
res = a.make_union(b)
exp = IntIndex(5, np.array([0, 1, 2, 3, 4], np.int32))
assert res.equals(exp)
a = IntIndex(5, np.array([0, 1], dtype=np.int32))
b = IntIndex(4, np.array([0, 1], dtype=np.int32))
with pytest.raises(ValueError):
a.make_union(b)
class TestSparseIndexIntersect(object):
@td.skip_if_windows
def test_intersect(self):
def _check_correct(a, b, expected):
result = a.intersect(b)
assert (result.equals(expected))
def _check_length_exc(a, longer):
pytest.raises(Exception, a.intersect, longer)
def _check_case(xloc, xlen, yloc, ylen, eloc, elen):
xindex = BlockIndex(TEST_LENGTH, xloc, xlen)
yindex = BlockIndex(TEST_LENGTH, yloc, ylen)
expected = BlockIndex(TEST_LENGTH, eloc, elen)
longer_index = BlockIndex(TEST_LENGTH + 1, yloc, ylen)
_check_correct(xindex, yindex, expected)
_check_correct(xindex.to_int_index(), yindex.to_int_index(),
expected.to_int_index())
_check_length_exc(xindex, longer_index)
_check_length_exc(xindex.to_int_index(),
longer_index.to_int_index())
check_cases(_check_case)
def test_intersect_empty(self):
xindex = IntIndex(4, np.array([], dtype=np.int32))
yindex = IntIndex(4, np.array([2, 3], dtype=np.int32))
assert xindex.intersect(yindex).equals(xindex)
assert yindex.intersect(xindex).equals(xindex)
xindex = xindex.to_block_index()
yindex = yindex.to_block_index()
assert xindex.intersect(yindex).equals(xindex)
assert yindex.intersect(xindex).equals(xindex)
def test_intersect_identical(self):
cases = [IntIndex(5, np.array([1, 2], dtype=np.int32)),
IntIndex(5, np.array([0, 2, 4], dtype=np.int32)),
IntIndex(0, np.array([], dtype=np.int32)),
IntIndex(5, np.array([], dtype=np.int32))]
for case in cases:
assert case.intersect(case).equals(case)
case = case.to_block_index()
assert case.intersect(case).equals(case)
class TestSparseIndexCommon(object):
def test_int_internal(self):
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_block_internal(self):
idx = _make_index(4, np.array([2, 3], dtype=np.int32), kind='block')
assert isinstance(idx, BlockIndex)
assert idx.npoints == 2
tm.assert_numpy_array_equal(idx.blocs,
np.array([2], dtype=np.int32))
tm.assert_numpy_array_equal(idx.blengths,
np.array([2], dtype=np.int32))
idx = _make_index(4, np.array([], dtype=np.int32), kind='block')
assert isinstance(idx, BlockIndex)
assert idx.npoints == 0
tm.assert_numpy_array_equal(idx.blocs,
np.array([], dtype=np.int32))
tm.assert_numpy_array_equal(idx.blengths,
np.array([], dtype=np.int32))
idx = _make_index(4, np.array([0, 1, 2, 3], dtype=np.int32),
kind='block')
assert isinstance(idx, BlockIndex)
assert idx.npoints == 4
tm.assert_numpy_array_equal(idx.blocs,
np.array([0], dtype=np.int32))
tm.assert_numpy_array_equal(idx.blengths,
np.array([4], dtype=np.int32))
idx = _make_index(4, np.array([0, 2, 3], dtype=np.int32),
kind='block')
assert isinstance(idx, BlockIndex)
assert idx.npoints == 3
tm.assert_numpy_array_equal(idx.blocs,
np.array([0, 2], dtype=np.int32))
tm.assert_numpy_array_equal(idx.blengths,
np.array([1, 2], dtype=np.int32))
def test_lookup(self):
for kind in ['integer', 'block']:
idx = _make_index(4, np.array([2, 3], dtype=np.int32), kind=kind)
assert idx.lookup(-1) == -1
assert idx.lookup(0) == -1
assert idx.lookup(1) == -1
assert idx.lookup(2) == 0
assert idx.lookup(3) == 1
assert idx.lookup(4) == -1
idx = _make_index(4, np.array([], dtype=np.int32), kind=kind)
for i in range(-1, 5):
assert idx.lookup(i) == -1
idx = _make_index(4, np.array([0, 1, 2, 3], dtype=np.int32),
kind=kind)
assert idx.lookup(-1) == -1
assert idx.lookup(0) == 0
assert idx.lookup(1) == 1
assert idx.lookup(2) == 2
assert idx.lookup(3) == 3
assert idx.lookup(4) == -1
idx = _make_index(4, np.array([0, 2, 3], dtype=np.int32),
kind=kind)
assert idx.lookup(-1) == -1
assert idx.lookup(0) == 0
assert idx.lookup(1) == -1
assert idx.lookup(2) == 1
assert idx.lookup(3) == 2
assert idx.lookup(4) == -1
def test_lookup_array(self):
for kind in ['integer', 'block']:
idx = _make_index(4, np.array([2, 3], dtype=np.int32), kind=kind)
res = idx.lookup_array(np.array([-1, 0, 2], dtype=np.int32))
exp = np.array([-1, -1, 0], dtype=np.int32)
tm.assert_numpy_array_equal(res, exp)
res = idx.lookup_array(np.array([4, 2, 1, 3], dtype=np.int32))
exp = np.array([-1, 0, -1, 1], dtype=np.int32)
tm.assert_numpy_array_equal(res, exp)
idx = _make_index(4, np.array([], dtype=np.int32), kind=kind)
res = idx.lookup_array(np.array([-1, 0, 2, 4], dtype=np.int32))
exp = np.array([-1, -1, -1, -1], dtype=np.int32)
idx = _make_index(4, np.array([0, 1, 2, 3], dtype=np.int32),
kind=kind)
res = idx.lookup_array(np.array([-1, 0, 2], dtype=np.int32))
exp = np.array([-1, 0, 2], dtype=np.int32)
tm.assert_numpy_array_equal(res, exp)
res = idx.lookup_array(np.array([4, 2, 1, 3], dtype=np.int32))
exp = np.array([-1, 2, 1, 3], dtype=np.int32)
tm.assert_numpy_array_equal(res, exp)
idx = _make_index(4, np.array([0, 2, 3], dtype=np.int32),
kind=kind)
res = idx.lookup_array(np.array([2, 1, 3, 0], dtype=np.int32))
exp = np.array([1, -1, 2, 0], dtype=np.int32)
tm.assert_numpy_array_equal(res, exp)
res = idx.lookup_array(np.array([1, 4, 2, 5], dtype=np.int32))
exp = np.array([-1, -1, 1, -1], dtype=np.int32)
tm.assert_numpy_array_equal(res, exp)
def test_lookup_basics(self):
def _check(index):
assert (index.lookup(0) == -1)
assert (index.lookup(5) == 0)
assert (index.lookup(7) == 2)
assert (index.lookup(8) == -1)
assert (index.lookup(9) == -1)
assert (index.lookup(10) == -1)
assert (index.lookup(11) == -1)
assert (index.lookup(12) == 3)
assert (index.lookup(17) == 8)
assert (index.lookup(18) == -1)
bindex = BlockIndex(20, [5, 12], [3, 6])
iindex = bindex.to_int_index()
_check(bindex)
_check(iindex)
# corner cases
class TestBlockIndex(object):
def test_block_internal(self):
idx = _make_index(4, np.array([2, 3], dtype=np.int32), kind='block')
assert isinstance(idx, BlockIndex)
assert idx.npoints == 2
tm.assert_numpy_array_equal(idx.blocs,
np.array([2], dtype=np.int32))
tm.assert_numpy_array_equal(idx.blengths,
np.array([2], dtype=np.int32))
idx = _make_index(4, np.array([], dtype=np.int32), kind='block')
assert isinstance(idx, BlockIndex)
assert idx.npoints == 0
tm.assert_numpy_array_equal(idx.blocs,
np.array([], dtype=np.int32))
tm.assert_numpy_array_equal(idx.blengths,
np.array([], dtype=np.int32))
idx = _make_index(4, np.array([0, 1, 2, 3], dtype=np.int32),
kind='block')
assert isinstance(idx, BlockIndex)
assert idx.npoints == 4
tm.assert_numpy_array_equal(idx.blocs,
np.array([0], dtype=np.int32))
tm.assert_numpy_array_equal(idx.blengths,
np.array([4], dtype=np.int32))
idx = _make_index(4, np.array([0, 2, 3], dtype=np.int32), kind='block')
assert isinstance(idx, BlockIndex)
assert idx.npoints == 3
tm.assert_numpy_array_equal(idx.blocs,
np.array([0, 2], dtype=np.int32))
tm.assert_numpy_array_equal(idx.blengths,
np.array([1, 2], dtype=np.int32))
def test_make_block_boundary(self):
for i in [5, 10, 100, 101]:
idx = _make_index(i, np.arange(0, i, 2, dtype=np.int32),
kind='block')
exp = np.arange(0, i, 2, dtype=np.int32)
tm.assert_numpy_array_equal(idx.blocs, exp)
tm.assert_numpy_array_equal(idx.blengths,
np.ones(len(exp), dtype=np.int32))
def test_equals(self):
index = BlockIndex(10, [0, 4], [2, 5])
assert index.equals(index)
assert not index.equals(BlockIndex(10, [0, 4], [2, 6]))
def test_check_integrity(self):
locs = []
lengths = []
# 0-length OK
# TODO: index variables are not used...is that right?
index = BlockIndex(0, locs, lengths) # noqa
# also OK even though empty
index = BlockIndex(1, locs, lengths) # noqa
# block extend beyond end
pytest.raises(Exception, BlockIndex, 10, [5], [10])
# block overlap
pytest.raises(Exception, BlockIndex, 10, [2, 5], [5, 3])
def test_to_int_index(self):
locs = [0, 10]
lengths = [4, 6]
exp_inds = [0, 1, 2, 3, 10, 11, 12, 13, 14, 15]
block = BlockIndex(20, locs, lengths)
dense = block.to_int_index()
tm.assert_numpy_array_equal(dense.indices,
np.array(exp_inds, dtype=np.int32))
def test_to_block_index(self):
index = BlockIndex(10, [0, 5], [4, 5])
assert index.to_block_index() is index
class TestIntIndex(object):
def test_check_integrity(self):
# Too many indices than specified in self.length
msg = "Too many indices"
with tm.assert_raises_regex(ValueError, msg):
IntIndex(length=1, indices=[1, 2, 3])
# No index can be negative.
msg = "No index can be less than zero"
with tm.assert_raises_regex(ValueError, msg):
IntIndex(length=5, indices=[1, -2, 3])
# No index can be negative.
msg = "No index can be less than zero"
with tm.assert_raises_regex(ValueError, 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 tm.assert_raises_regex(ValueError, msg):
IntIndex(length=5, indices=[1, 2, 5])
with tm.assert_raises_regex(ValueError, msg):
IntIndex(length=5, indices=[1, 2, 6])
# Indices must be strictly ascending.
msg = "Indices must be strictly increasing"
with tm.assert_raises_regex(ValueError, msg):
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):
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