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📄 test_abc.py(1.97 KB)
📄 test_api.py(18.46 KB)
📄 test_arrayprint.py(9.98 KB)
📄 test_datetime.py(90.36 KB)
📄 test_defchararray.py(25.16 KB)
📄 test_deprecations.py(18.36 KB)
📄 test_dtype.py(25.59 KB)
📄 test_einsum.py(38.67 KB)
📄 test_errstate.py(1.55 KB)
📄 test_extint128.py(5.64 KB)
📄 test_function_base.py(11.16 KB)
📄 test_getlimits.py(4.5 KB)
📄 test_half.py(18.21 KB)
📄 test_indexerrors.py(4.82 KB)
📄 test_indexing.py(46.84 KB)
📄 test_item_selection.py(3.58 KB)
📄 test_longdouble.py(5.83 KB)
📄 test_machar.py(1014 B)
📄 test_mem_overlap.py(28.87 KB)
📄 test_memmap.py(6.91 KB)
📄 test_multiarray.py(254.69 KB)
📄 test_nditer.py(105.75 KB)
📄 test_numeric.py(98.49 KB)
📄 test_numerictypes.py(14.27 KB)
📄 test_print.py(7.9 KB)
📄 test_records.py(15.27 KB)
📄 test_regression.py(79.31 KB)
📄 test_scalarinherit.py(771 B)
📄 test_scalarmath.py(24.45 KB)
📄 test_scalarprint.py(917 B)
📄 test_shape_base.py(18.11 KB)
📄 test_ufunc.py(53.7 KB)
📄 test_umath.py(96.47 KB)
📄 test_umath_complex.py(19.34 KB)
📄 test_unicode.py(13.9 KB)

Editing: test_getlimits.py

""" Test functions for limits module.

"""
from __future__ import division, absolute_import, print_function

import numpy as np
from numpy.core import finfo, iinfo
from numpy import half, single, double, longdouble
from numpy.testing import (
    TestCase, run_module_suite, assert_equal, assert_
)
from numpy.core.getlimits import (_discovered_machar, _float16_ma, _float32_ma,
                                  _float64_ma, _float128_ma, _float80_ma)

##################################################

class TestPythonFloat(TestCase):
    def test_singleton(self):
        ftype = finfo(float)
        ftype2 = finfo(float)
        assert_equal(id(ftype), id(ftype2))

class TestHalf(TestCase):
    def test_singleton(self):
        ftype = finfo(half)
        ftype2 = finfo(half)
        assert_equal(id(ftype), id(ftype2))

class TestSingle(TestCase):
    def test_singleton(self):
        ftype = finfo(single)
        ftype2 = finfo(single)
        assert_equal(id(ftype), id(ftype2))

class TestDouble(TestCase):
    def test_singleton(self):
        ftype = finfo(double)
        ftype2 = finfo(double)
        assert_equal(id(ftype), id(ftype2))

class TestLongdouble(TestCase):
    def test_singleton(self,level=2):
        ftype = finfo(longdouble)
        ftype2 = finfo(longdouble)
        assert_equal(id(ftype), id(ftype2))

class TestFinfo(TestCase):
    def test_basic(self):
        dts = list(zip(['f2', 'f4', 'f8', 'c8', 'c16'],
                       [np.float16, np.float32, np.float64, np.complex64,
                        np.complex128]))
        for dt1, dt2 in dts:
            for attr in ('bits', 'eps', 'epsneg', 'iexp', 'machar', 'machep',
                         'max', 'maxexp', 'min', 'minexp', 'negep', 'nexp',
                         'nmant', 'precision', 'resolution', 'tiny'):
                assert_equal(getattr(finfo(dt1), attr),
                             getattr(finfo(dt2), attr), attr)
        self.assertRaises(ValueError, finfo, 'i4')

class TestIinfo(TestCase):
    def test_basic(self):
        dts = list(zip(['i1', 'i2', 'i4', 'i8',
                   'u1', 'u2', 'u4', 'u8'],
                  [np.int8, np.int16, np.int32, np.int64,
                   np.uint8, np.uint16, np.uint32, np.uint64]))
        for dt1, dt2 in dts:
            for attr in ('bits', 'min', 'max'):
                assert_equal(getattr(iinfo(dt1), attr),
                             getattr(iinfo(dt2), attr), attr)
        self.assertRaises(ValueError, iinfo, 'f4')

def test_unsigned_max(self):
        types = np.sctypes['uint']
        for T in types:
            assert_equal(iinfo(T).max, T(-1))

class TestRepr(TestCase):
    def test_iinfo_repr(self):
        expected = "iinfo(min=-32768, max=32767, dtype=int16)"
        assert_equal(repr(np.iinfo(np.int16)), expected)

def test_finfo_repr(self):
        expected = "finfo(resolution=1e-06, min=-3.4028235e+38," + \
                   " max=3.4028235e+38, dtype=float32)"
        assert_equal(repr(np.finfo(np.float32)), expected)

def test_instances():
    iinfo(10)
    finfo(3.0)

def assert_ma_equal(discovered, ma_like):
    # Check MachAr-like objects same as calculated MachAr instances
    for key, value in discovered.__dict__.items():
        assert_equal(value, getattr(ma_like, key))
        if hasattr(value, 'shape'):
            assert_equal(value.shape, getattr(ma_like, key).shape)
            assert_equal(value.dtype, getattr(ma_like, key).dtype)

def test_known_types():
    # Test we are correctly compiling parameters for known types
    for ftype, ma_like in ((np.float16, _float16_ma),
                           (np.float32, _float32_ma),
                           (np.float64, _float64_ma)):
        assert_ma_equal(_discovered_machar(ftype), ma_like)
    # Suppress warning for broken discovery of double double on PPC
    with np.errstate(all='ignore'):
        ld_ma = _discovered_machar(np.longdouble)
    bytes = np.dtype(np.longdouble).itemsize
    if (ld_ma.it, ld_ma.maxexp) == (63, 16384) and bytes in (12, 16):
        # 80-bit extended precision
        assert_ma_equal(ld_ma, _float80_ma)
    elif (ld_ma.it, ld_ma.maxexp) == (112, 16384) and bytes == 16:
        # IEE 754 128-bit
        assert_ma_equal(ld_ma, _float128_ma)

def test_plausible_finfo():
    # Assert that finfo returns reasonable results for all types
    for ftype in np.sctypes['float'] + np.sctypes['complex']:
        info = np.finfo(ftype)
        assert_(info.nmant > 1)
        assert_(info.minexp < -1)
        assert_(info.maxexp > 1)

if __name__ == "__main__":
    run_module_suite()

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