122 lines
4.2 KiB
Python
122 lines
4.2 KiB
Python
""" Test functions for limits module.
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"""
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import numpy as np
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from numpy.core import finfo, iinfo
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from numpy import half, single, double, longdouble
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from numpy.testing import assert_equal, assert_, assert_raises
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from numpy.core.getlimits import _discovered_machar, _float_ma
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##################################################
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class TestPythonFloat:
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def test_singleton(self):
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ftype = finfo(float)
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ftype2 = finfo(float)
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assert_equal(id(ftype), id(ftype2))
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class TestHalf:
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def test_singleton(self):
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ftype = finfo(half)
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ftype2 = finfo(half)
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assert_equal(id(ftype), id(ftype2))
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class TestSingle:
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def test_singleton(self):
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ftype = finfo(single)
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ftype2 = finfo(single)
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assert_equal(id(ftype), id(ftype2))
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class TestDouble:
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def test_singleton(self):
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ftype = finfo(double)
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ftype2 = finfo(double)
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assert_equal(id(ftype), id(ftype2))
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class TestLongdouble:
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def test_singleton(self):
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ftype = finfo(longdouble)
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ftype2 = finfo(longdouble)
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assert_equal(id(ftype), id(ftype2))
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class TestFinfo:
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def test_basic(self):
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dts = list(zip(['f2', 'f4', 'f8', 'c8', 'c16'],
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[np.float16, np.float32, np.float64, np.complex64,
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np.complex128]))
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for dt1, dt2 in dts:
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for attr in ('bits', 'eps', 'epsneg', 'iexp', 'machar', 'machep',
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'max', 'maxexp', 'min', 'minexp', 'negep', 'nexp',
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'nmant', 'precision', 'resolution', 'tiny'):
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assert_equal(getattr(finfo(dt1), attr),
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getattr(finfo(dt2), attr), attr)
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assert_raises(ValueError, finfo, 'i4')
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class TestIinfo:
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def test_basic(self):
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dts = list(zip(['i1', 'i2', 'i4', 'i8',
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'u1', 'u2', 'u4', 'u8'],
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[np.int8, np.int16, np.int32, np.int64,
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np.uint8, np.uint16, np.uint32, np.uint64]))
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for dt1, dt2 in dts:
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for attr in ('bits', 'min', 'max'):
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assert_equal(getattr(iinfo(dt1), attr),
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getattr(iinfo(dt2), attr), attr)
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assert_raises(ValueError, iinfo, 'f4')
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def test_unsigned_max(self):
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types = np.sctypes['uint']
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for T in types:
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assert_equal(iinfo(T).max, T(-1))
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class TestRepr:
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def test_iinfo_repr(self):
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expected = "iinfo(min=-32768, max=32767, dtype=int16)"
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assert_equal(repr(np.iinfo(np.int16)), expected)
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def test_finfo_repr(self):
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expected = "finfo(resolution=1e-06, min=-3.4028235e+38," + \
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" max=3.4028235e+38, dtype=float32)"
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assert_equal(repr(np.finfo(np.float32)), expected)
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def test_instances():
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iinfo(10)
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finfo(3.0)
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def assert_ma_equal(discovered, ma_like):
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# Check MachAr-like objects same as calculated MachAr instances
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for key, value in discovered.__dict__.items():
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assert_equal(value, getattr(ma_like, key))
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if hasattr(value, 'shape'):
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assert_equal(value.shape, getattr(ma_like, key).shape)
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assert_equal(value.dtype, getattr(ma_like, key).dtype)
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def test_known_types():
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# Test we are correctly compiling parameters for known types
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for ftype, ma_like in ((np.float16, _float_ma[16]),
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(np.float32, _float_ma[32]),
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(np.float64, _float_ma[64])):
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assert_ma_equal(_discovered_machar(ftype), ma_like)
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# Suppress warning for broken discovery of double double on PPC
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with np.errstate(all='ignore'):
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ld_ma = _discovered_machar(np.longdouble)
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bytes = np.dtype(np.longdouble).itemsize
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if (ld_ma.it, ld_ma.maxexp) == (63, 16384) and bytes in (12, 16):
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# 80-bit extended precision
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assert_ma_equal(ld_ma, _float_ma[80])
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elif (ld_ma.it, ld_ma.maxexp) == (112, 16384) and bytes == 16:
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# IEE 754 128-bit
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assert_ma_equal(ld_ma, _float_ma[128])
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def test_plausible_finfo():
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# Assert that finfo returns reasonable results for all types
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for ftype in np.sctypes['float'] + np.sctypes['complex']:
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info = np.finfo(ftype)
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assert_(info.nmant > 1)
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assert_(info.minexp < -1)
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assert_(info.maxexp > 1)
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