projektAI/venv/Lib/site-packages/numpy/core/tests/test_longdouble.py
2021-06-06 22:13:05 +02:00

370 lines
13 KiB
Python

import warnings
import pytest
import numpy as np
from numpy.testing import (
assert_, assert_equal, assert_raises, assert_warns, assert_array_equal,
temppath,
)
from numpy.core.tests._locales import CommaDecimalPointLocale
LD_INFO = np.finfo(np.longdouble)
longdouble_longer_than_double = (LD_INFO.eps < np.finfo(np.double).eps)
_o = 1 + LD_INFO.eps
string_to_longdouble_inaccurate = (_o != np.longdouble(repr(_o)))
del _o
def test_scalar_extraction():
"""Confirm that extracting a value doesn't convert to python float"""
o = 1 + LD_INFO.eps
a = np.array([o, o, o])
assert_equal(a[1], o)
# Conversions string -> long double
# 0.1 not exactly representable in base 2 floating point.
repr_precision = len(repr(np.longdouble(0.1)))
# +2 from macro block starting around line 842 in scalartypes.c.src.
@pytest.mark.skipif(LD_INFO.precision + 2 >= repr_precision,
reason="repr precision not enough to show eps")
def test_repr_roundtrip():
# We will only see eps in repr if within printing precision.
o = 1 + LD_INFO.eps
assert_equal(np.longdouble(repr(o)), o, "repr was %s" % repr(o))
@pytest.mark.skipif(string_to_longdouble_inaccurate, reason="Need strtold_l")
def test_repr_roundtrip_bytes():
o = 1 + LD_INFO.eps
assert_equal(np.longdouble(repr(o).encode("ascii")), o)
@pytest.mark.skipif(string_to_longdouble_inaccurate, reason="Need strtold_l")
@pytest.mark.parametrize("strtype", (np.str_, np.bytes_, str, bytes))
def test_array_and_stringlike_roundtrip(strtype):
"""
Test that string representations of long-double roundtrip both
for array casting and scalar coercion, see also gh-15608.
"""
o = 1 + LD_INFO.eps
if strtype in (np.bytes_, bytes):
o_str = strtype(repr(o).encode("ascii"))
else:
o_str = strtype(repr(o))
# Test that `o` is correctly coerced from the string-like
assert o == np.longdouble(o_str)
# Test that arrays also roundtrip correctly:
o_strarr = np.asarray([o] * 3, dtype=strtype)
assert (o == o_strarr.astype(np.longdouble)).all()
# And array coercion and casting to string give the same as scalar repr:
assert (o_strarr == o_str).all()
assert (np.asarray([o] * 3).astype(strtype) == o_str).all()
def test_bogus_string():
assert_raises(ValueError, np.longdouble, "spam")
assert_raises(ValueError, np.longdouble, "1.0 flub")
@pytest.mark.skipif(string_to_longdouble_inaccurate, reason="Need strtold_l")
def test_fromstring():
o = 1 + LD_INFO.eps
s = (" " + repr(o))*5
a = np.array([o]*5)
assert_equal(np.fromstring(s, sep=" ", dtype=np.longdouble), a,
err_msg="reading '%s'" % s)
def test_fromstring_complex():
for ctype in ["complex", "cdouble", "cfloat"]:
# Check spacing between separator
assert_equal(np.fromstring("1, 2 , 3 ,4", sep=",", dtype=ctype),
np.array([1., 2., 3., 4.]))
# Real component not specified
assert_equal(np.fromstring("1j, -2j, 3j, 4e1j", sep=",", dtype=ctype),
np.array([1.j, -2.j, 3.j, 40.j]))
# Both components specified
assert_equal(np.fromstring("1+1j,2-2j, -3+3j, -4e1+4j", sep=",", dtype=ctype),
np.array([1. + 1.j, 2. - 2.j, - 3. + 3.j, - 40. + 4j]))
# Spaces at wrong places
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1+2 j,3", dtype=ctype, sep=","),
np.array([1.]))
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1+ 2j,3", dtype=ctype, sep=","),
np.array([1.]))
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1 +2j,3", dtype=ctype, sep=","),
np.array([1.]))
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1+j", dtype=ctype, sep=","),
np.array([1.]))
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1+", dtype=ctype, sep=","),
np.array([1.]))
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1j+1", dtype=ctype, sep=","),
np.array([1j]))
def test_fromstring_bogus():
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1. 2. 3. flop 4.", dtype=float, sep=" "),
np.array([1., 2., 3.]))
def test_fromstring_empty():
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("xxxxx", sep="x"),
np.array([]))
def test_fromstring_missing():
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1xx3x4x5x6", sep="x"),
np.array([1]))
class TestFileBased:
ldbl = 1 + LD_INFO.eps
tgt = np.array([ldbl]*5)
out = ''.join([repr(t) + '\n' for t in tgt])
def test_fromfile_bogus(self):
with temppath() as path:
with open(path, 'wt') as f:
f.write("1. 2. 3. flop 4.\n")
with assert_warns(DeprecationWarning):
res = np.fromfile(path, dtype=float, sep=" ")
assert_equal(res, np.array([1., 2., 3.]))
def test_fromfile_complex(self):
for ctype in ["complex", "cdouble", "cfloat"]:
# Check spacing between separator and only real component specified
with temppath() as path:
with open(path, 'wt') as f:
f.write("1, 2 , 3 ,4\n")
res = np.fromfile(path, dtype=ctype, sep=",")
assert_equal(res, np.array([1., 2., 3., 4.]))
# Real component not specified
with temppath() as path:
with open(path, 'wt') as f:
f.write("1j, -2j, 3j, 4e1j\n")
res = np.fromfile(path, dtype=ctype, sep=",")
assert_equal(res, np.array([1.j, -2.j, 3.j, 40.j]))
# Both components specified
with temppath() as path:
with open(path, 'wt') as f:
f.write("1+1j,2-2j, -3+3j, -4e1+4j\n")
res = np.fromfile(path, dtype=ctype, sep=",")
assert_equal(res, np.array([1. + 1.j, 2. - 2.j, - 3. + 3.j, - 40. + 4j]))
# Spaces at wrong places
with temppath() as path:
with open(path, 'wt') as f:
f.write("1+2 j,3\n")
with assert_warns(DeprecationWarning):
res = np.fromfile(path, dtype=ctype, sep=",")
assert_equal(res, np.array([1.]))
# Spaces at wrong places
with temppath() as path:
with open(path, 'wt') as f:
f.write("1+ 2j,3\n")
with assert_warns(DeprecationWarning):
res = np.fromfile(path, dtype=ctype, sep=",")
assert_equal(res, np.array([1.]))
# Spaces at wrong places
with temppath() as path:
with open(path, 'wt') as f:
f.write("1 +2j,3\n")
with assert_warns(DeprecationWarning):
res = np.fromfile(path, dtype=ctype, sep=",")
assert_equal(res, np.array([1.]))
# Spaces at wrong places
with temppath() as path:
with open(path, 'wt') as f:
f.write("1+j\n")
with assert_warns(DeprecationWarning):
res = np.fromfile(path, dtype=ctype, sep=",")
assert_equal(res, np.array([1.]))
# Spaces at wrong places
with temppath() as path:
with open(path, 'wt') as f:
f.write("1+\n")
with assert_warns(DeprecationWarning):
res = np.fromfile(path, dtype=ctype, sep=",")
assert_equal(res, np.array([1.]))
# Spaces at wrong places
with temppath() as path:
with open(path, 'wt') as f:
f.write("1j+1\n")
with assert_warns(DeprecationWarning):
res = np.fromfile(path, dtype=ctype, sep=",")
assert_equal(res, np.array([1.j]))
@pytest.mark.skipif(string_to_longdouble_inaccurate,
reason="Need strtold_l")
def test_fromfile(self):
with temppath() as path:
with open(path, 'wt') as f:
f.write(self.out)
res = np.fromfile(path, dtype=np.longdouble, sep="\n")
assert_equal(res, self.tgt)
@pytest.mark.skipif(string_to_longdouble_inaccurate,
reason="Need strtold_l")
def test_genfromtxt(self):
with temppath() as path:
with open(path, 'wt') as f:
f.write(self.out)
res = np.genfromtxt(path, dtype=np.longdouble)
assert_equal(res, self.tgt)
@pytest.mark.skipif(string_to_longdouble_inaccurate,
reason="Need strtold_l")
def test_loadtxt(self):
with temppath() as path:
with open(path, 'wt') as f:
f.write(self.out)
res = np.loadtxt(path, dtype=np.longdouble)
assert_equal(res, self.tgt)
@pytest.mark.skipif(string_to_longdouble_inaccurate,
reason="Need strtold_l")
def test_tofile_roundtrip(self):
with temppath() as path:
self.tgt.tofile(path, sep=" ")
res = np.fromfile(path, dtype=np.longdouble, sep=" ")
assert_equal(res, self.tgt)
# Conversions long double -> string
def test_repr_exact():
o = 1 + LD_INFO.eps
assert_(repr(o) != '1')
@pytest.mark.skipif(longdouble_longer_than_double, reason="BUG #2376")
@pytest.mark.skipif(string_to_longdouble_inaccurate,
reason="Need strtold_l")
def test_format():
o = 1 + LD_INFO.eps
assert_("{0:.40g}".format(o) != '1')
@pytest.mark.skipif(longdouble_longer_than_double, reason="BUG #2376")
@pytest.mark.skipif(string_to_longdouble_inaccurate,
reason="Need strtold_l")
def test_percent():
o = 1 + LD_INFO.eps
assert_("%.40g" % o != '1')
@pytest.mark.skipif(longdouble_longer_than_double,
reason="array repr problem")
@pytest.mark.skipif(string_to_longdouble_inaccurate,
reason="Need strtold_l")
def test_array_repr():
o = 1 + LD_INFO.eps
a = np.array([o])
b = np.array([1], dtype=np.longdouble)
if not np.all(a != b):
raise ValueError("precision loss creating arrays")
assert_(repr(a) != repr(b))
#
# Locale tests: scalar types formatting should be independent of the locale
#
class TestCommaDecimalPointLocale(CommaDecimalPointLocale):
def test_repr_roundtrip_foreign(self):
o = 1.5
assert_equal(o, np.longdouble(repr(o)))
def test_fromstring_foreign_repr(self):
f = 1.234
a = np.fromstring(repr(f), dtype=float, sep=" ")
assert_equal(a[0], f)
def test_fromstring_best_effort_float(self):
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1,234", dtype=float, sep=" "),
np.array([1.]))
def test_fromstring_best_effort(self):
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1,234", dtype=np.longdouble, sep=" "),
np.array([1.]))
def test_fromstring_foreign(self):
s = "1.234"
a = np.fromstring(s, dtype=np.longdouble, sep=" ")
assert_equal(a[0], np.longdouble(s))
def test_fromstring_foreign_sep(self):
a = np.array([1, 2, 3, 4])
b = np.fromstring("1,2,3,4,", dtype=np.longdouble, sep=",")
assert_array_equal(a, b)
def test_fromstring_foreign_value(self):
with assert_warns(DeprecationWarning):
b = np.fromstring("1,234", dtype=np.longdouble, sep=" ")
assert_array_equal(b[0], 1)
@pytest.mark.parametrize("int_val", [
# cases discussed in gh-10723
# and gh-9968
2 ** 1024, 0])
def test_longdouble_from_int(int_val):
# for issue gh-9968
str_val = str(int_val)
# we'll expect a RuntimeWarning on platforms
# with np.longdouble equivalent to np.double
# for large integer input
with warnings.catch_warnings(record=True) as w:
warnings.filterwarnings('always', '', RuntimeWarning)
# can be inf==inf on some platforms
assert np.longdouble(int_val) == np.longdouble(str_val)
# we can't directly compare the int and
# max longdouble value on all platforms
if np.allclose(np.finfo(np.longdouble).max,
np.finfo(np.double).max) and w:
assert w[0].category is RuntimeWarning
@pytest.mark.parametrize("bool_val", [
True, False])
def test_longdouble_from_bool(bool_val):
assert np.longdouble(bool_val) == np.longdouble(int(bool_val))