3RNN/Lib/site-packages/pandas/tests/libs/test_libalgos.py
2024-05-26 19:49:15 +02:00

163 lines
5.2 KiB
Python

from datetime import datetime
from itertools import permutations
import numpy as np
from pandas._libs import algos as libalgos
import pandas._testing as tm
def test_ensure_platform_int():
arr = np.arange(100, dtype=np.intp)
result = libalgos.ensure_platform_int(arr)
assert result is arr
def test_is_lexsorted():
failure = [
np.array(
([3] * 32) + ([2] * 32) + ([1] * 32) + ([0] * 32),
dtype="int64",
),
np.array(
list(range(31))[::-1] * 4,
dtype="int64",
),
]
assert not libalgos.is_lexsorted(failure)
def test_groupsort_indexer():
a = np.random.default_rng(2).integers(0, 1000, 100).astype(np.intp)
b = np.random.default_rng(2).integers(0, 1000, 100).astype(np.intp)
result = libalgos.groupsort_indexer(a, 1000)[0]
# need to use a stable sort
# np.argsort returns int, groupsort_indexer
# always returns intp
expected = np.argsort(a, kind="mergesort")
expected = expected.astype(np.intp)
tm.assert_numpy_array_equal(result, expected)
# compare with lexsort
# np.lexsort returns int, groupsort_indexer
# always returns intp
key = a * 1000 + b
result = libalgos.groupsort_indexer(key, 1000000)[0]
expected = np.lexsort((b, a))
expected = expected.astype(np.intp)
tm.assert_numpy_array_equal(result, expected)
class TestPadBackfill:
def test_backfill(self):
old = np.array([1, 5, 10], dtype=np.int64)
new = np.array(list(range(12)), dtype=np.int64)
filler = libalgos.backfill["int64_t"](old, new)
expect_filler = np.array([0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 2, -1], dtype=np.intp)
tm.assert_numpy_array_equal(filler, expect_filler)
# corner case
old = np.array([1, 4], dtype=np.int64)
new = np.array(list(range(5, 10)), dtype=np.int64)
filler = libalgos.backfill["int64_t"](old, new)
expect_filler = np.array([-1, -1, -1, -1, -1], dtype=np.intp)
tm.assert_numpy_array_equal(filler, expect_filler)
def test_pad(self):
old = np.array([1, 5, 10], dtype=np.int64)
new = np.array(list(range(12)), dtype=np.int64)
filler = libalgos.pad["int64_t"](old, new)
expect_filler = np.array([-1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2], dtype=np.intp)
tm.assert_numpy_array_equal(filler, expect_filler)
# corner case
old = np.array([5, 10], dtype=np.int64)
new = np.arange(5, dtype=np.int64)
filler = libalgos.pad["int64_t"](old, new)
expect_filler = np.array([-1, -1, -1, -1, -1], dtype=np.intp)
tm.assert_numpy_array_equal(filler, expect_filler)
def test_pad_backfill_object_segfault(self):
old = np.array([], dtype="O")
new = np.array([datetime(2010, 12, 31)], dtype="O")
result = libalgos.pad["object"](old, new)
expected = np.array([-1], dtype=np.intp)
tm.assert_numpy_array_equal(result, expected)
result = libalgos.pad["object"](new, old)
expected = np.array([], dtype=np.intp)
tm.assert_numpy_array_equal(result, expected)
result = libalgos.backfill["object"](old, new)
expected = np.array([-1], dtype=np.intp)
tm.assert_numpy_array_equal(result, expected)
result = libalgos.backfill["object"](new, old)
expected = np.array([], dtype=np.intp)
tm.assert_numpy_array_equal(result, expected)
class TestInfinity:
def test_infinity_sort(self):
# GH#13445
# numpy's argsort can be unhappy if something is less than
# itself. Instead, let's give our infinities a self-consistent
# ordering, but outside the float extended real line.
Inf = libalgos.Infinity()
NegInf = libalgos.NegInfinity()
ref_nums = [NegInf, float("-inf"), -1e100, 0, 1e100, float("inf"), Inf]
assert all(Inf >= x for x in ref_nums)
assert all(Inf > x or x is Inf for x in ref_nums)
assert Inf >= Inf and Inf == Inf
assert not Inf < Inf and not Inf > Inf
assert libalgos.Infinity() == libalgos.Infinity()
assert not libalgos.Infinity() != libalgos.Infinity()
assert all(NegInf <= x for x in ref_nums)
assert all(NegInf < x or x is NegInf for x in ref_nums)
assert NegInf <= NegInf and NegInf == NegInf
assert not NegInf < NegInf and not NegInf > NegInf
assert libalgos.NegInfinity() == libalgos.NegInfinity()
assert not libalgos.NegInfinity() != libalgos.NegInfinity()
for perm in permutations(ref_nums):
assert sorted(perm) == ref_nums
# smoke tests
np.array([libalgos.Infinity()] * 32).argsort()
np.array([libalgos.NegInfinity()] * 32).argsort()
def test_infinity_against_nan(self):
Inf = libalgos.Infinity()
NegInf = libalgos.NegInfinity()
assert not Inf > np.nan
assert not Inf >= np.nan
assert not Inf < np.nan
assert not Inf <= np.nan
assert not Inf == np.nan
assert Inf != np.nan
assert not NegInf > np.nan
assert not NegInf >= np.nan
assert not NegInf < np.nan
assert not NegInf <= np.nan
assert not NegInf == np.nan
assert NegInf != np.nan