/usr/lib/python3/dist-packages/numpy/lib/tests/test_type_check.py is in python3-numpy 1:1.12.1-3.
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import numpy as np
from numpy.compat import long
from numpy.testing import (
TestCase, assert_, assert_equal, assert_array_equal, run_module_suite
)
from numpy.lib.type_check import (
common_type, mintypecode, isreal, iscomplex, isposinf, isneginf,
nan_to_num, isrealobj, iscomplexobj, asfarray, real_if_close
)
def assert_all(x):
assert_(np.all(x), x)
class TestCommonType(TestCase):
def test_basic(self):
ai32 = np.array([[1, 2], [3, 4]], dtype=np.int32)
af16 = np.array([[1, 2], [3, 4]], dtype=np.float16)
af32 = np.array([[1, 2], [3, 4]], dtype=np.float32)
af64 = np.array([[1, 2], [3, 4]], dtype=np.float64)
acs = np.array([[1+5j, 2+6j], [3+7j, 4+8j]], dtype=np.csingle)
acd = np.array([[1+5j, 2+6j], [3+7j, 4+8j]], dtype=np.cdouble)
assert_(common_type(ai32) == np.float64)
assert_(common_type(af16) == np.float16)
assert_(common_type(af32) == np.float32)
assert_(common_type(af64) == np.float64)
assert_(common_type(acs) == np.csingle)
assert_(common_type(acd) == np.cdouble)
class TestMintypecode(TestCase):
def test_default_1(self):
for itype in '1bcsuwil':
assert_equal(mintypecode(itype), 'd')
assert_equal(mintypecode('f'), 'f')
assert_equal(mintypecode('d'), 'd')
assert_equal(mintypecode('F'), 'F')
assert_equal(mintypecode('D'), 'D')
def test_default_2(self):
for itype in '1bcsuwil':
assert_equal(mintypecode(itype+'f'), 'f')
assert_equal(mintypecode(itype+'d'), 'd')
assert_equal(mintypecode(itype+'F'), 'F')
assert_equal(mintypecode(itype+'D'), 'D')
assert_equal(mintypecode('ff'), 'f')
assert_equal(mintypecode('fd'), 'd')
assert_equal(mintypecode('fF'), 'F')
assert_equal(mintypecode('fD'), 'D')
assert_equal(mintypecode('df'), 'd')
assert_equal(mintypecode('dd'), 'd')
#assert_equal(mintypecode('dF',savespace=1),'F')
assert_equal(mintypecode('dF'), 'D')
assert_equal(mintypecode('dD'), 'D')
assert_equal(mintypecode('Ff'), 'F')
#assert_equal(mintypecode('Fd',savespace=1),'F')
assert_equal(mintypecode('Fd'), 'D')
assert_equal(mintypecode('FF'), 'F')
assert_equal(mintypecode('FD'), 'D')
assert_equal(mintypecode('Df'), 'D')
assert_equal(mintypecode('Dd'), 'D')
assert_equal(mintypecode('DF'), 'D')
assert_equal(mintypecode('DD'), 'D')
def test_default_3(self):
assert_equal(mintypecode('fdF'), 'D')
#assert_equal(mintypecode('fdF',savespace=1),'F')
assert_equal(mintypecode('fdD'), 'D')
assert_equal(mintypecode('fFD'), 'D')
assert_equal(mintypecode('dFD'), 'D')
assert_equal(mintypecode('ifd'), 'd')
assert_equal(mintypecode('ifF'), 'F')
assert_equal(mintypecode('ifD'), 'D')
assert_equal(mintypecode('idF'), 'D')
#assert_equal(mintypecode('idF',savespace=1),'F')
assert_equal(mintypecode('idD'), 'D')
class TestIsscalar(TestCase):
def test_basic(self):
assert_(np.isscalar(3))
assert_(not np.isscalar([3]))
assert_(not np.isscalar((3,)))
assert_(np.isscalar(3j))
assert_(np.isscalar(long(10)))
assert_(np.isscalar(4.0))
class TestReal(TestCase):
def test_real(self):
y = np.random.rand(10,)
assert_array_equal(y, np.real(y))
def test_cmplx(self):
y = np.random.rand(10,)+1j*np.random.rand(10,)
assert_array_equal(y.real, np.real(y))
class TestImag(TestCase):
def test_real(self):
y = np.random.rand(10,)
assert_array_equal(0, np.imag(y))
def test_cmplx(self):
y = np.random.rand(10,)+1j*np.random.rand(10,)
assert_array_equal(y.imag, np.imag(y))
class TestIscomplex(TestCase):
def test_fail(self):
z = np.array([-1, 0, 1])
res = iscomplex(z)
assert_(not np.sometrue(res, axis=0))
def test_pass(self):
z = np.array([-1j, 1, 0])
res = iscomplex(z)
assert_array_equal(res, [1, 0, 0])
class TestIsreal(TestCase):
def test_pass(self):
z = np.array([-1, 0, 1j])
res = isreal(z)
assert_array_equal(res, [1, 1, 0])
def test_fail(self):
z = np.array([-1j, 1, 0])
res = isreal(z)
assert_array_equal(res, [0, 1, 1])
class TestIscomplexobj(TestCase):
def test_basic(self):
z = np.array([-1, 0, 1])
assert_(not iscomplexobj(z))
z = np.array([-1j, 0, -1])
assert_(iscomplexobj(z))
def test_scalar(self):
assert_(not iscomplexobj(1.0))
assert_(iscomplexobj(1+0j))
def test_list(self):
assert_(iscomplexobj([3, 1+0j, True]))
assert_(not iscomplexobj([3, 1, True]))
def test_duck(self):
class DummyComplexArray:
@property
def dtype(self):
return np.dtype(complex)
dummy = DummyComplexArray()
assert_(iscomplexobj(dummy))
def test_pandas_duck(self):
# This tests a custom np.dtype duck-typed class, such as used by pandas
# (pandas.core.dtypes)
class PdComplex(np.complex128):
pass
class PdDtype(object):
name = 'category'
names = None
type = PdComplex
kind = 'c'
str = '<c16'
base = np.dtype('complex128')
class DummyPd:
@property
def dtype(self):
return PdDtype
dummy = DummyPd()
assert_(iscomplexobj(dummy))
def test_custom_dtype_duck(self):
class MyArray(list):
@property
def dtype(self):
return complex
a = MyArray([1+0j, 2+0j, 3+0j])
assert_(iscomplexobj(a))
class TestIsrealobj(TestCase):
def test_basic(self):
z = np.array([-1, 0, 1])
assert_(isrealobj(z))
z = np.array([-1j, 0, -1])
assert_(not isrealobj(z))
class TestIsnan(TestCase):
def test_goodvalues(self):
z = np.array((-1., 0., 1.))
res = np.isnan(z) == 0
assert_all(np.all(res, axis=0))
def test_posinf(self):
with np.errstate(divide='ignore'):
assert_all(np.isnan(np.array((1.,))/0.) == 0)
def test_neginf(self):
with np.errstate(divide='ignore'):
assert_all(np.isnan(np.array((-1.,))/0.) == 0)
def test_ind(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isnan(np.array((0.,))/0.) == 1)
def test_integer(self):
assert_all(np.isnan(1) == 0)
def test_complex(self):
assert_all(np.isnan(1+1j) == 0)
def test_complex1(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isnan(np.array(0+0j)/0.) == 1)
class TestIsfinite(TestCase):
# Fixme, wrong place, isfinite now ufunc
def test_goodvalues(self):
z = np.array((-1., 0., 1.))
res = np.isfinite(z) == 1
assert_all(np.all(res, axis=0))
def test_posinf(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isfinite(np.array((1.,))/0.) == 0)
def test_neginf(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isfinite(np.array((-1.,))/0.) == 0)
def test_ind(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isfinite(np.array((0.,))/0.) == 0)
def test_integer(self):
assert_all(np.isfinite(1) == 1)
def test_complex(self):
assert_all(np.isfinite(1+1j) == 1)
def test_complex1(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isfinite(np.array(1+1j)/0.) == 0)
class TestIsinf(TestCase):
# Fixme, wrong place, isinf now ufunc
def test_goodvalues(self):
z = np.array((-1., 0., 1.))
res = np.isinf(z) == 0
assert_all(np.all(res, axis=0))
def test_posinf(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isinf(np.array((1.,))/0.) == 1)
def test_posinf_scalar(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isinf(np.array(1.,)/0.) == 1)
def test_neginf(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isinf(np.array((-1.,))/0.) == 1)
def test_neginf_scalar(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isinf(np.array(-1.)/0.) == 1)
def test_ind(self):
with np.errstate(divide='ignore', invalid='ignore'):
assert_all(np.isinf(np.array((0.,))/0.) == 0)
class TestIsposinf(TestCase):
def test_generic(self):
with np.errstate(divide='ignore', invalid='ignore'):
vals = isposinf(np.array((-1., 0, 1))/0.)
assert_(vals[0] == 0)
assert_(vals[1] == 0)
assert_(vals[2] == 1)
class TestIsneginf(TestCase):
def test_generic(self):
with np.errstate(divide='ignore', invalid='ignore'):
vals = isneginf(np.array((-1., 0, 1))/0.)
assert_(vals[0] == 1)
assert_(vals[1] == 0)
assert_(vals[2] == 0)
class TestNanToNum(TestCase):
def test_generic(self):
with np.errstate(divide='ignore', invalid='ignore'):
vals = nan_to_num(np.array((-1., 0, 1))/0.)
assert_all(vals[0] < -1e10) and assert_all(np.isfinite(vals[0]))
assert_(vals[1] == 0)
assert_all(vals[2] > 1e10) and assert_all(np.isfinite(vals[2]))
def test_integer(self):
vals = nan_to_num(1)
assert_all(vals == 1)
vals = nan_to_num([1])
assert_array_equal(vals, np.array([1], np.int))
def test_complex_good(self):
vals = nan_to_num(1+1j)
assert_all(vals == 1+1j)
def test_complex_bad(self):
with np.errstate(divide='ignore', invalid='ignore'):
v = 1 + 1j
v += np.array(0+1.j)/0.
vals = nan_to_num(v)
# !! This is actually (unexpectedly) zero
assert_all(np.isfinite(vals))
def test_complex_bad2(self):
with np.errstate(divide='ignore', invalid='ignore'):
v = 1 + 1j
v += np.array(-1+1.j)/0.
vals = nan_to_num(v)
assert_all(np.isfinite(vals))
# Fixme
#assert_all(vals.imag > 1e10) and assert_all(np.isfinite(vals))
# !! This is actually (unexpectedly) positive
# !! inf. Comment out for now, and see if it
# !! changes
#assert_all(vals.real < -1e10) and assert_all(np.isfinite(vals))
class TestRealIfClose(TestCase):
def test_basic(self):
a = np.random.rand(10)
b = real_if_close(a+1e-15j)
assert_all(isrealobj(b))
assert_array_equal(a, b)
b = real_if_close(a+1e-7j)
assert_all(iscomplexobj(b))
b = real_if_close(a+1e-7j, tol=1e-6)
assert_all(isrealobj(b))
class TestArrayConversion(TestCase):
def test_asfarray(self):
a = asfarray(np.array([1, 2, 3]))
assert_equal(a.__class__, np.ndarray)
assert_(np.issubdtype(a.dtype, np.float))
if __name__ == "__main__":
run_module_suite()
|