1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
|
Description: On mips, 1**np.nan and np.nan**0 may be NaN not 1
Done this way not a plain xfail to allow only this difference,
not clearly wrong answers
(The same hardware's "invalid value encountered" warnings,
probably from sNaN/qNaN being reversed, are ignored elsewhere:
d/rules and xfail_tests_nonintel_io.patch)
https://en.wikipedia.org/wiki/NaN#Encoding
Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Forwarded: no
--- a/pandas/tests/arrays/floating/test_arithmetic.py
+++ b/pandas/tests/arrays/floating/test_arithmetic.py
@@ -1,4 +1,5 @@
import operator
+import platform
import numpy as np
import pytest
@@ -69,6 +70,11 @@ def test_pow_scalar(dtype):
np.array([np.nan, np.nan, 1, np.nan, np.nan], dtype=dtype.numpy_dtype),
mask=a._mask,
)
+ if 'mips' in platform.uname()[4] and np.isnan(result[2]):
+ expected = FloatingArray(
+ np.array([np.nan, np.nan, np.nan, np.nan, np.nan], dtype=dtype.numpy_dtype),
+ mask=a._mask,
+ )
tm.assert_extension_array_equal(result, expected)
# reversed
@@ -80,6 +86,12 @@ def test_pow_scalar(dtype):
result = 1**a
expected = pd.array([1, 1, 1, 1], dtype=dtype)
+ if 'mips' in platform.uname()[4] and np.isnan(result[2]):
+ expected = FloatingArray(
+ np.array([1, 1, np.nan, 1], dtype=dtype.numpy_dtype),
+ mask=expected._mask,
+ )
+
tm.assert_extension_array_equal(result, expected)
result = pd.NA**a
@@ -90,6 +102,11 @@ def test_pow_scalar(dtype):
expected = FloatingArray(
np.array([1, np.nan, np.nan, np.nan], dtype=dtype.numpy_dtype), mask=a._mask
)
+ if 'mips' in platform.uname()[4] and np.isnan(result[0]):
+ expected = FloatingArray(
+ np.array([np.nan, np.nan, np.nan, np.nan], dtype=dtype.numpy_dtype),
+ mask=a._mask,
+ )
tm.assert_extension_array_equal(result, expected)
@@ -98,6 +115,8 @@ def test_pow_array(dtype):
b = pd.array([0, 1, None, 0, 1, None, 0, 1, None], dtype=dtype)
result = a**b
expected = pd.array([1, 0, None, 1, 1, 1, 1, None, None], dtype=dtype)
+ if 'mips' in platform.uname()[4] and np.isnan(result[5]):
+ expected = FloatingArray(np.array([1, 0, np.nan, 1, 1, np.nan, np.nan, np.nan, np.nan], dtype=dtype.numpy_dtype), mask=expected._mask)
tm.assert_extension_array_equal(result, expected)
--- a/pandas/tests/arrays/sparse/test_arithmetics.py
+++ b/pandas/tests/arrays/sparse/test_arithmetics.py
@@ -1,4 +1,5 @@
import operator
+import platform
import numpy as np
import pytest
@@ -44,6 +45,8 @@ class TestSparseArrayArithmetics:
result = op(a, b_dense).to_dense()
else:
result = op(a, b).to_dense()
+ if 'mips' in platform.uname()[4] and op==operator.pow and a[1]==1 and np.isnan(b if np.isscalar(b) else b[1]) and np.isnan(expected[1]) and result[1]==1:
+ expected[1]=1
self._assert(result, expected)
|
