from __future__ import division, absolute_import, print_function
import sys
import numpy as np
from numpy.testing import assert_, assert_equal, SkipTest
from numpy.core.tests._locales import CommaDecimalPointLocale
if sys.version_info[0] >= 3:
from io import StringIO
else:
from StringIO import StringIO
_REF = {np.inf: 'inf', -np.inf: '-inf', np.nan: 'nan'}
def check_float_type(tp):
for x in [0, 1, -1, 1e20]:
assert_equal(str(tp(x)), str(float(x)),
err_msg='Failed str formatting for type %s' % tp)
if tp(1e16).itemsize > 4:
assert_equal(str(tp(1e16)), str(float('1e16')),
err_msg='Failed str formatting for type %s' % tp)
else:
ref = '1e+16'
assert_equal(str(tp(1e16)), ref,
err_msg='Failed str formatting for type %s' % tp)
def test_float_types():
""" Check formatting.
This is only for the str function, and only for simple types.
The precision of np.float32 and np.longdouble aren't the same as the
python float precision.
"""
for t in [np.float32, np.double, np.longdouble]:
check_float_type(t)
def check_nan_inf_float(tp):
for x in [np.inf, -np.inf, np.nan]:
assert_equal(str(tp(x)), _REF[x],
err_msg='Failed str formatting for type %s' % tp)
def test_nan_inf_float():
""" Check formatting of nan & inf.
This is only for the str function, and only for simple types.
The precision of np.float32 and np.longdouble aren't the same as the
python float precision.
"""
for t in [np.float32, np.double, np.longdouble]:
check_nan_inf_float(t)
def check_complex_type(tp):
for x in [0, 1, -1, 1e20]:
assert_equal(str(tp(x)), str(complex(x)),
err_msg='Failed str formatting for type %s' % tp)
assert_equal(str(tp(x*1j)), str(complex(x*1j)),
err_msg='Failed str formatting for type %s' % tp)
assert_equal(str(tp(x + x*1j)), str(complex(x + x*1j)),
err_msg='Failed str formatting for type %s' % tp)
if tp(1e16).itemsize > 8:
assert_equal(str(tp(1e16)), str(complex(1e16)),
err_msg='Failed str formatting for type %s' % tp)
else:
ref = '(1e+16+0j)'
assert_equal(str(tp(1e16)), ref,
err_msg='Failed str formatting for type %s' % tp)
def test_complex_types():
"""Check formatting of complex types.
This is only for the str function, and only for simple types.
The precision of np.float32 and np.longdouble aren't the same as the
python float precision.
"""
for t in [np.complex64, np.cdouble, np.clongdouble]:
check_complex_type(t)
def test_complex_inf_nan():
"""Check inf/nan formatting of complex types."""
TESTS = {
complex(np.inf, 0): "(inf+0j)",
complex(0, np.inf): "infj",
complex(-np.inf, 0): "(-inf+0j)",
complex(0, -np.inf): "-infj",
complex(np.inf, 1): "(inf+1j)",
complex(1, np.inf): "(1+infj)",
complex(-np.inf, 1): "(-inf+1j)",
complex(1, -np.inf): "(1-infj)",
complex(np.nan, 0): "(nan+0j)",
complex(0, np.nan): "nanj",
complex(-np.nan, 0): "(nan+0j)",
complex(0, -np.nan): "nanj",
complex(np.nan, 1): "(nan+1j)",
complex(1, np.nan): "(1+nanj)",
complex(-np.nan, 1): "(nan+1j)",
complex(1, -np.nan): "(1+nanj)",
}
for tp in [np.complex64, np.cdouble, np.clongdouble]:
for c, s in TESTS.items():
_check_complex_inf_nan(c, s, tp)
def _check_complex_inf_nan(c, s, dtype):
assert_equal(str(dtype(c)), s)
# print tests
def _test_redirected_print(x, tp, ref=None):
file = StringIO()
file_tp = StringIO()
stdout = sys.stdout
try:
sys.stdout = file_tp
print(tp(x))
sys.stdout = file
if ref:
print(ref)
else:
print(x)
finally:
sys.stdout = stdout
assert_equal(file.getvalue(), file_tp.getvalue(),
err_msg='print failed for type%s' % tp)
def check_float_type_print(tp):
for x in [0, 1, -1, 1e20]:
_test_redirected_print(float(x), tp)
for x in [np.inf, -np.inf, np.nan]:
_test_redirected_print(float(x), tp, _REF[x])
if tp(1e16).itemsize > 4:
_test_redirected_print(float(1e16), tp)
else:
ref = '1e+16'
_test_redirected_print(float(1e16), tp, ref)
def check_complex_type_print(tp):
# We do not create complex with inf/nan directly because the feature is
# missing in python < 2.6
for x in [0, 1, -1, 1e20]:
_test_redirected_print(complex(x), tp)
if tp(1e16).itemsize > 8:
_test_redirected_print(complex(1e16), tp)
else:
ref = '(1e+16+0j)'
_test_redirected_print(complex(1e16), tp, ref)
_test_redirected_print(complex(np.inf, 1), tp, '(inf+1j)')
_test_redirected_print(complex(-np.inf, 1), tp, '(-inf+1j)')
_test_redirected_print(complex(-np.nan, 1), tp, '(nan+1j)')
def test_float_type_print():
"""Check formatting when using print """
for t in [np.float32, np.double, np.longdouble]:
check_float_type_print(t)
def test_complex_type_print():
"""Check formatting when using print """
for t in [np.complex64, np.cdouble, np.clongdouble]:
check_complex_type_print(t)
def test_scalar_format():
"""Test the str.format method with NumPy scalar types"""
tests = [('{0}', True, np.bool_),
('{0}', False, np.bool_),
('{0:d}', 130, np.uint8),
('{0:d}', 50000, np.uint16),
('{0:d}', 3000000000, np.uint32),
('{0:d}', 15000000000000000000, np.uint64),
('{0:d}', -120, np.int8),
('{0:d}', -30000, np.int16),
('{0:d}', -2000000000, np.int32),
('{0:d}', -7000000000000000000, np.int64),
('{0:g}', 1.5, np.float16),
('{0:g}', 1.5, np.float32),
('{0:g}', 1.5, np.float64),
('{0:g}', 1.5, np.longdouble),
('{0:g}', 1.5+0.5j, np.complex64),
('{0:g}', 1.5+0.5j, np.complex128),
('{0:g}', 1.5+0.5j, np.clongdouble)]
for (fmat, val, valtype) in tests:
try:
assert_equal(fmat.format(val), fmat.format(valtype(val)),
"failed with val %s, type %s" % (val, valtype))
except ValueError as e:
assert_(False,
"format raised exception (fmt='%s', val=%s, type=%s, exc='%s')" %
(fmat, repr(val), repr(valtype), str(e)))
#
# Locale tests: scalar types formatting should be independent of the locale
#
class TestCommaDecimalPointLocale(CommaDecimalPointLocale):
def test_locale_single(self):
assert_equal(str(np.float32(1.2)), str(float(1.2)))
def test_locale_double(self):
assert_equal(str(np.double(1.2)), str(float(1.2)))
def test_locale_longdouble(self):
assert_equal(str(np.longdouble('1.2')), str(float(1.2)))
