/
test_regression.py
1924 lines (1642 loc) · 67.7 KB
/
test_regression.py
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from __future__ import division, absolute_import, print_function
import pickle
import sys
import platform
import gc
import copy
import warnings
import tempfile
from os import path
from io import BytesIO
import numpy as np
from numpy.testing import (
run_module_suite, TestCase, assert_, assert_equal,
assert_almost_equal, assert_array_equal, assert_array_almost_equal,
assert_raises, assert_warns, dec
)
from numpy.testing.utils import _assert_valid_refcount
from numpy.compat import asbytes, asunicode, asbytes_nested, long, sixu
rlevel = 1
class TestRegression(TestCase):
def test_invalid_round(self,level=rlevel):
"""Ticket #3"""
v = 4.7599999999999998
assert_array_equal(np.array([v]), np.array(v))
def test_mem_empty(self,level=rlevel):
"""Ticket #7"""
np.empty((1,), dtype=[('x', np.int64)])
def test_pickle_transposed(self,level=rlevel):
"""Ticket #16"""
a = np.transpose(np.array([[2, 9], [7, 0], [3, 8]]))
f = BytesIO()
pickle.dump(a, f)
f.seek(0)
b = pickle.load(f)
f.close()
assert_array_equal(a, b)
def test_typeNA(self,level=rlevel):
"""Ticket #31"""
assert_equal(np.typeNA[np.int64], 'Int64')
assert_equal(np.typeNA[np.uint64], 'UInt64')
def test_dtype_names(self,level=rlevel):
"""Ticket #35"""
dt = np.dtype([(('name', 'label'), np.int32, 3)])
def test_reduce(self,level=rlevel):
"""Ticket #40"""
assert_almost_equal(np.add.reduce([1., .5], dtype=None), 1.5)
def test_zeros_order(self,level=rlevel):
"""Ticket #43"""
np.zeros([3], int, 'C')
np.zeros([3], order='C')
np.zeros([3], int, order='C')
def test_asarray_with_order(self,level=rlevel):
"""Check that nothing is done when order='F' and array C/F-contiguous"""
a = np.ones(2)
assert_(a is np.asarray(a, order='F'))
def test_ravel_with_order(self,level=rlevel):
"""Check that ravel works when order='F' and array C/F-contiguous"""
a = np.ones(2)
assert_(not a.ravel('F').flags.owndata)
def test_sort_bigendian(self,level=rlevel):
"""Ticket #47"""
a = np.linspace(0, 10, 11)
c = a.astype(np.dtype('<f8'))
c.sort()
assert_array_almost_equal(c, a)
def test_negative_nd_indexing(self,level=rlevel):
"""Ticket #49"""
c = np.arange(125).reshape((5, 5, 5))
origidx = np.array([-1, 0, 1])
idx = np.array(origidx)
c[idx]
assert_array_equal(idx, origidx)
def test_char_dump(self,level=rlevel):
"""Ticket #50"""
f = BytesIO()
ca = np.char.array(np.arange(1000, 1010), itemsize=4)
ca.dump(f)
f.seek(0)
ca = np.load(f)
f.close()
def test_noncontiguous_fill(self,level=rlevel):
"""Ticket #58."""
a = np.zeros((5, 3))
b = a[:, :2,]
def rs():
b.shape = (10,)
self.assertRaises(AttributeError, rs)
def test_bool(self,level=rlevel):
"""Ticket #60"""
x = np.bool_(1)
def test_indexing1(self,level=rlevel):
"""Ticket #64"""
descr = [('x', [('y', [('z', 'c16', (2,)),]),]),]
buffer = ((([6j, 4j],),),)
h = np.array(buffer, dtype=descr)
h['x']['y']['z']
def test_indexing2(self,level=rlevel):
"""Ticket #65"""
descr = [('x', 'i4', (2,))]
buffer = ([3, 2],)
h = np.array(buffer, dtype=descr)
h['x']
def test_round(self,level=rlevel):
"""Ticket #67"""
x = np.array([1+2j])
assert_almost_equal(x**(-1), [1/(1+2j)])
def test_scalar_compare(self,level=rlevel):
"""Ticket #72"""
a = np.array(['test', 'auto'])
assert_array_equal(a == 'auto', np.array([False, True]))
self.assertTrue(a[1] == 'auto')
self.assertTrue(a[0] != 'auto')
b = np.linspace(0, 10, 11)
self.assertTrue(b != 'auto')
self.assertTrue(b[0] != 'auto')
def test_unicode_swapping(self,level=rlevel):
"""Ticket #79"""
ulen = 1
ucs_value = sixu('\U0010FFFF')
ua = np.array([[[ucs_value*ulen]*2]*3]*4, dtype='U%s' % ulen)
ua2 = ua.newbyteorder()
def test_object_array_fill(self,level=rlevel):
"""Ticket #86"""
x = np.zeros(1, 'O')
x.fill([])
def test_mem_dtype_align(self,level=rlevel):
"""Ticket #93"""
self.assertRaises(TypeError, np.dtype,
{'names':['a'],'formats':['foo']}, align=1)
@dec.knownfailureif((sys.version_info[0] >= 3) or
(sys.platform == "win32" and platform.architecture()[0] == "64bit"),
"numpy.intp('0xff', 16) not supported on Py3, "
"as it does not inherit from Python int")
def test_intp(self,level=rlevel):
"""Ticket #99"""
i_width = np.int_(0).nbytes*2 - 1
np.intp('0x' + 'f'*i_width, 16)
self.assertRaises(OverflowError, np.intp, '0x' + 'f'*(i_width+1), 16)
self.assertRaises(ValueError, np.intp, '0x1', 32)
assert_equal(255, np.intp('0xFF', 16))
assert_equal(1024, np.intp(1024))
def test_endian_bool_indexing(self,level=rlevel):
"""Ticket #105"""
a = np.arange(10., dtype='>f8')
b = np.arange(10., dtype='<f8')
xa = np.where((a>2) & (a<6))
xb = np.where((b>2) & (b<6))
ya = ((a>2) & (a<6))
yb = ((b>2) & (b<6))
assert_array_almost_equal(xa, ya.nonzero())
assert_array_almost_equal(xb, yb.nonzero())
assert_(np.all(a[ya] > 0.5))
assert_(np.all(b[yb] > 0.5))
def test_endian_where(self,level=rlevel):
"""GitHuB issue #369"""
net = np.zeros(3, dtype='>f4')
net[1] = 0.00458849
net[2] = 0.605202
max_net = net.max()
test = np.where(net <= 0., max_net, net)
correct = np.array([ 0.60520202, 0.00458849, 0.60520202])
assert_array_almost_equal(test, correct)
def test_endian_recarray(self,level=rlevel):
"""Ticket #2185"""
dt = np.dtype([
('head', '>u4'),
('data', '>u4', 2),
])
buf = np.recarray(1, dtype=dt)
buf[0]['head'] = 1
buf[0]['data'][:] = [1, 1]
h = buf[0]['head']
d = buf[0]['data'][0]
buf[0]['head'] = h
buf[0]['data'][0] = d
assert_(buf[0]['head'] == 1)
def test_mem_dot(self,level=rlevel):
"""Ticket #106"""
x = np.random.randn(0, 1)
y = np.random.randn(10, 1)
# Dummy array to detect bad memory access:
_z = np.ones(10)
_dummy = np.empty((0, 10))
z = np.lib.stride_tricks.as_strided(_z, _dummy.shape, _dummy.strides)
np.dot(x, np.transpose(y), out=z)
assert_equal(_z, np.ones(10))
# Do the same for the built-in dot:
np.core.multiarray.dot(x, np.transpose(y), out=z)
assert_equal(_z, np.ones(10))
def test_arange_endian(self,level=rlevel):
"""Ticket #111"""
ref = np.arange(10)
x = np.arange(10, dtype='<f8')
assert_array_equal(ref, x)
x = np.arange(10, dtype='>f8')
assert_array_equal(ref, x)
# Longfloat support is not consistent enough across
# platforms for this test to be meaningful.
# def test_longfloat_repr(self,level=rlevel):
# """Ticket #112"""
# if np.longfloat(0).itemsize > 8:
# a = np.exp(np.array([1000],dtype=np.longfloat))
# assert_(str(a)[1:9] == str(a[0])[:8])
def test_argmax(self,level=rlevel):
"""Ticket #119"""
a = np.random.normal(0, 1, (4, 5, 6, 7, 8))
for i in range(a.ndim):
aargmax = a.argmax(i)
def test_mem_divmod(self,level=rlevel):
"""Ticket #126"""
for i in range(10):
divmod(np.array([i])[0], 10)
def test_hstack_invalid_dims(self,level=rlevel):
"""Ticket #128"""
x = np.arange(9).reshape((3, 3))
y = np.array([0, 0, 0])
self.assertRaises(ValueError, np.hstack, (x, y))
def test_squeeze_type(self,level=rlevel):
"""Ticket #133"""
a = np.array([3])
b = np.array(3)
assert_(type(a.squeeze()) is np.ndarray)
assert_(type(b.squeeze()) is np.ndarray)
def test_add_identity(self,level=rlevel):
"""Ticket #143"""
assert_equal(0, np.add.identity)
def test_numpy_float_python_long_addition(self):
# Check that numpy float and python longs can be added correctly.
a = np.float_(23.) + 2**135
assert_equal(a, 23. + 2**135)
def test_binary_repr_0(self,level=rlevel):
"""Ticket #151"""
assert_equal('0', np.binary_repr(0))
def test_rec_iterate(self,level=rlevel):
"""Ticket #160"""
descr = np.dtype([('i', int), ('f', float), ('s', '|S3')])
x = np.rec.array([(1, 1.1, '1.0'),
(2, 2.2, '2.0')], dtype=descr)
x[0].tolist()
[i for i in x[0]]
def test_unicode_string_comparison(self,level=rlevel):
"""Ticket #190"""
a = np.array('hello', np.unicode_)
b = np.array('world')
a == b
def test_tostring_FORTRANORDER_discontiguous(self,level=rlevel):
"""Fix in r2836"""
# Create discontiguous Fortran-ordered array
x = np.array(np.random.rand(3, 3), order='F')[:, :2]
assert_array_almost_equal(x.ravel(), np.fromstring(x.tostring()))
def test_flat_assignment(self,level=rlevel):
"""Correct behaviour of ticket #194"""
x = np.empty((3, 1))
x.flat = np.arange(3)
assert_array_almost_equal(x, [[0], [1], [2]])
x.flat = np.arange(3, dtype=float)
assert_array_almost_equal(x, [[0], [1], [2]])
def test_broadcast_flat_assignment(self,level=rlevel):
"""Ticket #194"""
x = np.empty((3, 1))
def bfa(): x[:] = np.arange(3)
def bfb(): x[:] = np.arange(3, dtype=float)
self.assertRaises(ValueError, bfa)
self.assertRaises(ValueError, bfb)
def test_nonarray_assignment(self):
# See also Issue gh-2870, test for nonarray assignment
# and equivalent unsafe casted array assignment
a = np.arange(10)
b = np.ones(10, dtype=bool)
r = np.arange(10)
def assign(a, b, c):
a[b] = c
assert_raises(ValueError, assign, a, b, np.nan)
a[b] = np.array(np.nan) # but not this.
assert_raises(ValueError, assign, a, r, np.nan)
a[r] = np.array(np.nan)
def test_unpickle_dtype_with_object(self,level=rlevel):
"""Implemented in r2840"""
dt = np.dtype([('x', int), ('y', np.object_), ('z', 'O')])
f = BytesIO()
pickle.dump(dt, f)
f.seek(0)
dt_ = pickle.load(f)
f.close()
assert_equal(dt, dt_)
def test_mem_array_creation_invalid_specification(self,level=rlevel):
"""Ticket #196"""
dt = np.dtype([('x', int), ('y', np.object_)])
# Wrong way
self.assertRaises(ValueError, np.array, [1, 'object'], dt)
# Correct way
np.array([(1, 'object')], dt)
def test_recarray_single_element(self,level=rlevel):
"""Ticket #202"""
a = np.array([1, 2, 3], dtype=np.int32)
b = a.copy()
r = np.rec.array(a, shape=1, formats=['3i4'], names=['d'])
assert_array_equal(a, b)
assert_equal(a, r[0][0])
def test_zero_sized_array_indexing(self,level=rlevel):
"""Ticket #205"""
tmp = np.array([])
def index_tmp(): tmp[np.array(10)]
self.assertRaises(IndexError, index_tmp)
def test_chararray_rstrip(self,level=rlevel):
"""Ticket #222"""
x = np.chararray((1,), 5)
x[0] = asbytes('a ')
x = x.rstrip()
assert_equal(x[0], asbytes('a'))
def test_object_array_shape(self,level=rlevel):
"""Ticket #239"""
assert_equal(np.array([[1, 2], 3, 4], dtype=object).shape, (3,))
assert_equal(np.array([[1, 2], [3, 4]], dtype=object).shape, (2, 2))
assert_equal(np.array([(1, 2), (3, 4)], dtype=object).shape, (2, 2))
assert_equal(np.array([], dtype=object).shape, (0,))
assert_equal(np.array([[], [], []], dtype=object).shape, (3, 0))
assert_equal(np.array([[3, 4], [5, 6], None], dtype=object).shape, (3,))
def test_mem_around(self,level=rlevel):
"""Ticket #243"""
x = np.zeros((1,))
y = [0]
decimal = 6
np.around(abs(x-y), decimal) <= 10.0**(-decimal)
def test_character_array_strip(self,level=rlevel):
"""Ticket #246"""
x = np.char.array(("x", "x ", "x "))
for c in x: assert_equal(c, "x")
def test_lexsort(self,level=rlevel):
"""Lexsort memory error"""
v = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
assert_equal(np.lexsort(v), 0)
def test_pickle_dtype(self,level=rlevel):
"""Ticket #251"""
pickle.dumps(np.float)
def test_swap_real(self, level=rlevel):
"""Ticket #265"""
assert_equal(np.arange(4, dtype='>c8').imag.max(), 0.0)
assert_equal(np.arange(4, dtype='<c8').imag.max(), 0.0)
assert_equal(np.arange(4, dtype='>c8').real.max(), 3.0)
assert_equal(np.arange(4, dtype='<c8').real.max(), 3.0)
def test_object_array_from_list(self, level=rlevel):
"""Ticket #270"""
a = np.array([1, 'A', None])
def test_multiple_assign(self, level=rlevel):
"""Ticket #273"""
a = np.zeros((3, 1), int)
a[[1, 2]] = 1
def test_empty_array_type(self, level=rlevel):
assert_equal(np.array([]).dtype, np.zeros(0).dtype)
def test_void_copyswap(self, level=rlevel):
dt = np.dtype([('one', '<i4'), ('two', '<i4')])
x = np.array((1, 2), dtype=dt)
x = x.byteswap()
assert_(x['one'] > 1 and x['two'] > 2)
def test_method_args(self, level=rlevel):
# Make sure methods and functions have same default axis
# keyword and arguments
funcs1= ['argmax', 'argmin', 'sum', ('product', 'prod'),
('sometrue', 'any'),
('alltrue', 'all'), 'cumsum', ('cumproduct', 'cumprod'),
'ptp', 'cumprod', 'prod', 'std', 'var', 'mean',
'round', 'min', 'max', 'argsort', 'sort']
funcs2 = ['compress', 'take', 'repeat']
for func in funcs1:
arr = np.random.rand(8, 7)
arr2 = arr.copy()
if isinstance(func, tuple):
func_meth = func[1]
func = func[0]
else:
func_meth = func
res1 = getattr(arr, func_meth)()
res2 = getattr(np, func)(arr2)
if res1 is None:
assert_(abs(arr-res2).max() < 1e-8, func)
else:
assert_(abs(res1-res2).max() < 1e-8, func)
for func in funcs2:
arr1 = np.random.rand(8, 7)
arr2 = np.random.rand(8, 7)
res1 = None
if func == 'compress':
arr1 = arr1.ravel()
res1 = getattr(arr2, func)(arr1)
else:
arr2 = (15*arr2).astype(int).ravel()
if res1 is None:
res1 = getattr(arr1, func)(arr2)
res2 = getattr(np, func)(arr1, arr2)
assert_(abs(res1-res2).max() < 1e-8, func)
def test_mem_lexsort_strings(self, level=rlevel):
"""Ticket #298"""
lst = ['abc', 'cde', 'fgh']
np.lexsort((lst,))
def test_fancy_index(self, level=rlevel):
"""Ticket #302"""
x = np.array([1, 2])[np.array([0])]
assert_equal(x.shape, (1,))
def test_recarray_copy(self, level=rlevel):
"""Ticket #312"""
dt = [('x', np.int16), ('y', np.float64)]
ra = np.array([(1, 2.3)], dtype=dt)
rb = np.rec.array(ra, dtype=dt)
rb['x'] = 2.
assert_(ra['x'] != rb['x'])
def test_rec_fromarray(self, level=rlevel):
"""Ticket #322"""
x1 = np.array([[1, 2], [3, 4], [5, 6]])
x2 = np.array(['a', 'dd', 'xyz'])
x3 = np.array([1.1, 2, 3])
np.rec.fromarrays([x1, x2, x3], formats="(2,)i4,a3,f8")
def test_object_array_assign(self, level=rlevel):
x = np.empty((2, 2), object)
x.flat[2] = (1, 2, 3)
assert_equal(x.flat[2], (1, 2, 3))
def test_ndmin_float64(self, level=rlevel):
"""Ticket #324"""
x = np.array([1, 2, 3], dtype=np.float64)
assert_equal(np.array(x, dtype=np.float32, ndmin=2).ndim, 2)
assert_equal(np.array(x, dtype=np.float64, ndmin=2).ndim, 2)
def test_ndmin_order(self, level=rlevel):
"""Issue #465 and related checks"""
assert_(np.array([1, 2], order='C', ndmin=3).flags.c_contiguous)
assert_(np.array([1, 2], order='F', ndmin=3).flags.f_contiguous)
assert_(np.array(np.ones((2, 2), order='F'), ndmin=3).flags.f_contiguous)
assert_(np.array(np.ones((2, 2), order='C'), ndmin=3).flags.c_contiguous)
def test_mem_axis_minimization(self, level=rlevel):
"""Ticket #327"""
data = np.arange(5)
data = np.add.outer(data, data)
def test_mem_float_imag(self, level=rlevel):
"""Ticket #330"""
np.float64(1.0).imag
def test_dtype_tuple(self, level=rlevel):
"""Ticket #334"""
assert_(np.dtype('i4') == np.dtype(('i4', ())))
def test_dtype_posttuple(self, level=rlevel):
"""Ticket #335"""
np.dtype([('col1', '()i4')])
def test_numeric_carray_compare(self, level=rlevel):
"""Ticket #341"""
assert_equal(np.array(['X'], 'c'), asbytes('X'))
def test_string_array_size(self, level=rlevel):
"""Ticket #342"""
self.assertRaises(ValueError,
np.array, [['X'], ['X', 'X', 'X']], '|S1')
def test_dtype_repr(self, level=rlevel):
"""Ticket #344"""
dt1=np.dtype(('uint32', 2))
dt2=np.dtype(('uint32', (2,)))
assert_equal(dt1.__repr__(), dt2.__repr__())
def test_reshape_order(self, level=rlevel):
"""Make sure reshape order works."""
a = np.arange(6).reshape(2, 3, order='F')
assert_equal(a, [[0, 2, 4], [1, 3, 5]])
a = np.array([[1, 2], [3, 4], [5, 6], [7, 8]])
b = a[:, 1]
assert_equal(b.reshape(2, 2, order='F'), [[2, 6], [4, 8]])
def test_reshape_zero_strides(self, level=rlevel):
"""Issue #380, test reshaping of zero strided arrays"""
a = np.ones(1)
a = np.lib.stride_tricks.as_strided(a, shape=(5,), strides=(0,))
assert_(a.reshape(5, 1).strides[0] == 0)
def test_reshape_zero_size(self, level=rlevel):
"""Github Issue #2700, setting shape failed for 0-sized arrays"""
a = np.ones((0, 2))
a.shape = (-1, 2)
# Cannot test if NPY_RELAXED_STRIDES_CHECKING changes the strides.
# With NPY_RELAXED_STRIDES_CHECKING the test becomes superfluous.
@dec.skipif(np.ones(1).strides[0] == np.iinfo(np.intp).max)
def test_reshape_trailing_ones_strides(self):
# Github issue gh-2949, bad strides for trailing ones of new shape
a = np.zeros(12, dtype=np.int32)[::2] # not contiguous
strides_c = (16, 8, 8, 8)
strides_f = (8, 24, 48, 48)
assert_equal(a.reshape(3, 2, 1, 1).strides, strides_c)
assert_equal(a.reshape(3, 2, 1, 1, order='F').strides, strides_f)
assert_equal(np.array(0, dtype=np.int32).reshape(1, 1).strides, (4, 4))
def test_repeat_discont(self, level=rlevel):
"""Ticket #352"""
a = np.arange(12).reshape(4, 3)[:, 2]
assert_equal(a.repeat(3), [2, 2, 2, 5, 5, 5, 8, 8, 8, 11, 11, 11])
def test_array_index(self, level=rlevel):
"""Make sure optimization is not called in this case."""
a = np.array([1, 2, 3])
a2 = np.array([[1, 2, 3]])
assert_equal(a[np.where(a==3)], a2[np.where(a2==3)])
def test_object_argmax(self, level=rlevel):
a = np.array([1, 2, 3], dtype=object)
assert_(a.argmax() == 2)
def test_recarray_fields(self, level=rlevel):
"""Ticket #372"""
dt0 = np.dtype([('f0', 'i4'), ('f1', 'i4')])
dt1 = np.dtype([('f0', 'i8'), ('f1', 'i8')])
for a in [np.array([(1, 2), (3, 4)], "i4,i4"),
np.rec.array([(1, 2), (3, 4)], "i4,i4"),
np.rec.array([(1, 2), (3, 4)]),
np.rec.fromarrays([(1, 2), (3, 4)], "i4,i4"),
np.rec.fromarrays([(1, 2), (3, 4)])]:
assert_(a.dtype in [dt0, dt1])
def test_random_shuffle(self, level=rlevel):
"""Ticket #374"""
a = np.arange(5).reshape((5, 1))
b = a.copy()
np.random.shuffle(b)
assert_equal(np.sort(b, axis=0), a)
def test_refcount_vdot(self, level=rlevel):
"""Changeset #3443"""
_assert_valid_refcount(np.vdot)
def test_startswith(self, level=rlevel):
ca = np.char.array(['Hi', 'There'])
assert_equal(ca.startswith('H'), [True, False])
def test_noncommutative_reduce_accumulate(self, level=rlevel):
"""Ticket #413"""
tosubtract = np.arange(5)
todivide = np.array([2.0, 0.5, 0.25])
assert_equal(np.subtract.reduce(tosubtract), -10)
assert_equal(np.divide.reduce(todivide), 16.0)
assert_array_equal(np.subtract.accumulate(tosubtract),
np.array([0, -1, -3, -6, -10]))
assert_array_equal(np.divide.accumulate(todivide),
np.array([2., 4., 16.]))
def test_convolve_empty(self, level=rlevel):
"""Convolve should raise an error for empty input array."""
self.assertRaises(ValueError, np.convolve, [], [1])
self.assertRaises(ValueError, np.convolve, [1], [])
def test_multidim_byteswap(self, level=rlevel):
"""Ticket #449"""
r=np.array([(1, (0, 1, 2))], dtype="i2,3i2")
assert_array_equal(r.byteswap(),
np.array([(256, (0, 256, 512))], r.dtype))
def test_string_NULL(self, level=rlevel):
"""Changeset 3557"""
assert_equal(np.array("a\x00\x0b\x0c\x00").item(),
'a\x00\x0b\x0c')
def test_junk_in_string_fields_of_recarray(self, level=rlevel):
"""Ticket #483"""
r = np.array([[asbytes('abc')]], dtype=[('var1', '|S20')])
assert_(asbytes(r['var1'][0][0]) == asbytes('abc'))
def test_take_output(self, level=rlevel):
"""Ensure that 'take' honours output parameter."""
x = np.arange(12).reshape((3, 4))
a = np.take(x, [0, 2], axis=1)
b = np.zeros_like(a)
np.take(x, [0, 2], axis=1, out=b)
assert_array_equal(a, b)
def test_take_object_fail(self):
# Issue gh-3001
d = 123.
a = np.array([d, 1], dtype=object)
ref_d = sys.getrefcount(d)
try:
a.take([0, 100])
except IndexError:
pass
assert_(ref_d == sys.getrefcount(d))
def test_array_str_64bit(self, level=rlevel):
"""Ticket #501"""
s = np.array([1, np.nan], dtype=np.float64)
with np.errstate(all='raise'):
sstr = np.array_str(s)
def test_frompyfunc_endian(self, level=rlevel):
"""Ticket #503"""
from math import radians
uradians = np.frompyfunc(radians, 1, 1)
big_endian = np.array([83.4, 83.5], dtype='>f8')
little_endian = np.array([83.4, 83.5], dtype='<f8')
assert_almost_equal(uradians(big_endian).astype(float),
uradians(little_endian).astype(float))
def test_mem_string_arr(self, level=rlevel):
"""Ticket #514"""
s = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
t = []
np.hstack((t, s ))
def test_arr_transpose(self, level=rlevel):
"""Ticket #516"""
x = np.random.rand(*(2,)*16)
y = x.transpose(list(range(16)))
def test_string_mergesort(self, level=rlevel):
"""Ticket #540"""
x = np.array(['a']*32)
assert_array_equal(x.argsort(kind='m'), np.arange(32))
def test_argmax_byteorder(self, level=rlevel):
"""Ticket #546"""
a = np.arange(3, dtype='>f')
assert_(a[a.argmax()] == a.max())
def test_rand_seed(self, level=rlevel):
"""Ticket #555"""
for l in np.arange(4):
np.random.seed(l)
def test_mem_deallocation_leak(self, level=rlevel):
"""Ticket #562"""
a = np.zeros(5, dtype=float)
b = np.array(a, dtype=float)
del a, b
def test_mem_on_invalid_dtype(self):
"Ticket #583"
self.assertRaises(ValueError, np.fromiter, [['12', ''], ['13', '']], str)
def test_dot_negative_stride(self, level=rlevel):
"""Ticket #588"""
x = np.array([[1, 5, 25, 125., 625]])
y = np.array([[20.], [160.], [640.], [1280.], [1024.]])
z = y[::-1].copy()
y2 = y[::-1]
assert_equal(np.dot(x, z), np.dot(x, y2))
def test_object_casting(self, level=rlevel):
# This used to trigger the object-type version of
# the bitwise_or operation, because float64 -> object
# casting succeeds
def rs():
x = np.ones([484, 286])
y = np.zeros([484, 286])
x |= y
self.assertRaises(TypeError, rs)
def test_unicode_scalar(self, level=rlevel):
"""Ticket #600"""
x = np.array(["DROND", "DROND1"], dtype="U6")
el = x[1]
new = pickle.loads(pickle.dumps(el))
assert_equal(new, el)
def test_arange_non_native_dtype(self, level=rlevel):
"""Ticket #616"""
for T in ('>f4', '<f4'):
dt = np.dtype(T)
assert_equal(np.arange(0, dtype=dt).dtype, dt)
assert_equal(np.arange(0.5, dtype=dt).dtype, dt)
assert_equal(np.arange(5, dtype=dt).dtype, dt)
def test_bool_indexing_invalid_nr_elements(self, level=rlevel):
s = np.ones(10, dtype=float)
x = np.array((15,), dtype=float)
def ia(x, s, v): x[(s>0)]=v
self.assertRaises(ValueError, ia, x, s, np.zeros(9, dtype=float))
self.assertRaises(ValueError, ia, x, s, np.zeros(11, dtype=float))
def test_mem_scalar_indexing(self, level=rlevel):
"""Ticket #603"""
x = np.array([0], dtype=float)
index = np.array(0, dtype=np.int32)
x[index]
def test_binary_repr_0_width(self, level=rlevel):
assert_equal(np.binary_repr(0, width=3), '000')
def test_fromstring(self, level=rlevel):
assert_equal(np.fromstring("12:09:09", dtype=int, sep=":"),
[12, 9, 9])
def test_searchsorted_variable_length(self, level=rlevel):
x = np.array(['a', 'aa', 'b'])
y = np.array(['d', 'e'])
assert_equal(x.searchsorted(y), [3, 3])
def test_string_argsort_with_zeros(self, level=rlevel):
"""Check argsort for strings containing zeros."""
x = np.fromstring("\x00\x02\x00\x01", dtype="|S2")
assert_array_equal(x.argsort(kind='m'), np.array([1, 0]))
assert_array_equal(x.argsort(kind='q'), np.array([1, 0]))
def test_string_sort_with_zeros(self, level=rlevel):
"""Check sort for strings containing zeros."""
x = np.fromstring("\x00\x02\x00\x01", dtype="|S2")
y = np.fromstring("\x00\x01\x00\x02", dtype="|S2")
assert_array_equal(np.sort(x, kind="q"), y)
def test_copy_detection_zero_dim(self, level=rlevel):
"""Ticket #658"""
np.indices((0, 3, 4)).T.reshape(-1, 3)
def test_flat_byteorder(self, level=rlevel):
"""Ticket #657"""
x = np.arange(10)
assert_array_equal(x.astype('>i4'), x.astype('<i4').flat[:])
assert_array_equal(x.astype('>i4').flat[:], x.astype('<i4'))
def test_uint64_from_negative(self, level=rlevel) :
assert_equal(np.uint64(-2), np.uint64(18446744073709551614))
def test_sign_bit(self, level=rlevel):
x = np.array([0, -0.0, 0])
assert_equal(str(np.abs(x)), '[ 0. 0. 0.]')
def test_flat_index_byteswap(self, level=rlevel):
for dt in (np.dtype('<i4'), np.dtype('>i4')):
x = np.array([-1, 0, 1], dtype=dt)
assert_equal(x.flat[0].dtype, x[0].dtype)
def test_copy_detection_corner_case(self, level=rlevel):
"""Ticket #658"""
np.indices((0, 3, 4)).T.reshape(-1, 3)
# Cannot test if NPY_RELAXED_STRIDES_CHECKING changes the strides.
# With NPY_RELAXED_STRIDES_CHECKING the test becomes superfluous,
# 0-sized reshape itself is tested elsewhere.
@dec.skipif(np.ones(1).strides[0] == np.iinfo(np.intp).max)
def test_copy_detection_corner_case2(self, level=rlevel):
"""Ticket #771: strides are not set correctly when reshaping 0-sized
arrays"""
b = np.indices((0, 3, 4)).T.reshape(-1, 3)
assert_equal(b.strides, (3 * b.itemsize, b.itemsize))
def test_object_array_refcounting(self, level=rlevel):
"""Ticket #633"""
if not hasattr(sys, 'getrefcount'):
return
# NB. this is probably CPython-specific
cnt = sys.getrefcount
a = object()
b = object()
c = object()
cnt0_a = cnt(a)
cnt0_b = cnt(b)
cnt0_c = cnt(c)
# -- 0d -> 1d broadcasted slice assignment
arr = np.zeros(5, dtype=np.object_)
arr[:] = a
assert_equal(cnt(a), cnt0_a + 5)
arr[:] = b
assert_equal(cnt(a), cnt0_a)
assert_equal(cnt(b), cnt0_b + 5)
arr[:2] = c
assert_equal(cnt(b), cnt0_b + 3)
assert_equal(cnt(c), cnt0_c + 2)
del arr
# -- 1d -> 2d broadcasted slice assignment
arr = np.zeros((5, 2), dtype=np.object_)
arr0 = np.zeros(2, dtype=np.object_)
arr0[0] = a
assert_(cnt(a) == cnt0_a + 1)
arr0[1] = b
assert_(cnt(b) == cnt0_b + 1)
arr[:,:] = arr0
assert_(cnt(a) == cnt0_a + 6)
assert_(cnt(b) == cnt0_b + 6)
arr[:, 0] = None
assert_(cnt(a) == cnt0_a + 1)
del arr, arr0
# -- 2d copying + flattening
arr = np.zeros((5, 2), dtype=np.object_)
arr[:, 0] = a
arr[:, 1] = b
assert_(cnt(a) == cnt0_a + 5)
assert_(cnt(b) == cnt0_b + 5)
arr2 = arr.copy()
assert_(cnt(a) == cnt0_a + 10)
assert_(cnt(b) == cnt0_b + 10)
arr2 = arr[:, 0].copy()
assert_(cnt(a) == cnt0_a + 10)
assert_(cnt(b) == cnt0_b + 5)
arr2 = arr.flatten()
assert_(cnt(a) == cnt0_a + 10)
assert_(cnt(b) == cnt0_b + 10)
del arr, arr2
# -- concatenate, repeat, take, choose
arr1 = np.zeros((5, 1), dtype=np.object_)
arr2 = np.zeros((5, 1), dtype=np.object_)
arr1[...] = a
arr2[...] = b
assert_(cnt(a) == cnt0_a + 5)
assert_(cnt(b) == cnt0_b + 5)
arr3 = np.concatenate((arr1, arr2))
assert_(cnt(a) == cnt0_a + 5 + 5)
assert_(cnt(b) == cnt0_b + 5 + 5)
arr3 = arr1.repeat(3, axis=0)
assert_(cnt(a) == cnt0_a + 5 + 3*5)
arr3 = arr1.take([1, 2, 3], axis=0)
assert_(cnt(a) == cnt0_a + 5 + 3)
x = np.array([[0], [1], [0], [1], [1]], int)
arr3 = x.choose(arr1, arr2)
assert_(cnt(a) == cnt0_a + 5 + 2)
assert_(cnt(b) == cnt0_b + 5 + 3)
def test_mem_custom_float_to_array(self, level=rlevel):
"""Ticket 702"""
class MyFloat(object):
def __float__(self):
return 1.0
tmp = np.atleast_1d([MyFloat()])
tmp2 = tmp.astype(float)
def test_object_array_refcount_self_assign(self, level=rlevel):
"""Ticket #711"""
class VictimObject(object):
deleted = False
def __del__(self):
self.deleted = True
d = VictimObject()
arr = np.zeros(5, dtype=np.object_)
arr[:] = d
del d
arr[:] = arr # refcount of 'd' might hit zero here
assert_(not arr[0].deleted)
arr[:] = arr # trying to induce a segfault by doing it again...
assert_(not arr[0].deleted)
def test_mem_fromiter_invalid_dtype_string(self, level=rlevel):
x = [1, 2, 3]
self.assertRaises(ValueError,
np.fromiter, [xi for xi in x], dtype='S')
def test_reduce_big_object_array(self, level=rlevel):
"""Ticket #713"""
oldsize = np.setbufsize(10*16)
a = np.array([None]*161, object)
assert_(not np.any(a))
np.setbufsize(oldsize)
def test_mem_0d_array_index(self, level=rlevel):
"""Ticket #714"""
np.zeros(10)[np.array(0)]
def test_floats_from_string(self, level=rlevel):
"""Ticket #640, floats from string"""
fsingle = np.single('1.234')
fdouble = np.double('1.234')
flongdouble = np.longdouble('1.234')
assert_almost_equal(fsingle, 1.234)
assert_almost_equal(fdouble, 1.234)
assert_almost_equal(flongdouble, 1.234)
def test_nonnative_endian_fill(self, level=rlevel):
""" Non-native endian arrays were incorrectly filled with scalars before
r5034.
"""
if sys.byteorder == 'little':
dtype = np.dtype('>i4')
else:
dtype = np.dtype('<i4')
x = np.empty([1], dtype=dtype)
x.fill(1)
assert_equal(x, np.array([1], dtype=dtype))
def test_dot_alignment_sse2(self, level=rlevel):
"""Test for ticket #551, changeset r5140"""
x = np.zeros((30, 40))
y = pickle.loads(pickle.dumps(x))
# y is now typically not aligned on a 8-byte boundary
z = np.ones((1, y.shape[0]))
# This shouldn't cause a segmentation fault:
np.dot(z, y)
def test_astype_copy(self, level=rlevel):
"""Ticket #788, changeset r5155"""
# The test data file was generated by scipy.io.savemat.
# The dtype is float64, but the isbuiltin attribute is 0.
data_dir = path.join(path.dirname(__file__), 'data')
filename = path.join(data_dir, "astype_copy.pkl")
if sys.version_info[0] >= 3:
f = open(filename, 'rb')
xp = pickle.load(f, encoding='latin1')
f.close()
else:
f = open(filename)
xp = pickle.load(f)
f.close()
xpd = xp.astype(np.float64)
assert_((xp.__array_interface__['data'][0] !=
xpd.__array_interface__['data'][0]))