| Current File : //usr/lib64/python2.7/site-packages/numpy/core/tests/test_regression.py |
import pickle
import sys
import platform
import gc
import copy
import warnings
import tempfile
from StringIO import StringIO
from os import path
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, WarningManager
from numpy.compat import asbytes, asunicode, asbytes_nested
if sys.version_info[0] >= 3:
import io
StringIO = io.BytesIO
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 = StringIO()
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_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 = StringIO()
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 = u'\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)
z = np.dot(x, np.transpose(y))
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 xrange(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_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)
@dec.knownfailureif(sys.version_info < (2, 6),
"See #2920 why this fails")
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)
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.
def test_unpickle_dtype_with_object(self,level=rlevel):
"""Implemented in r2840"""
dt = np.dtype([('x',int),('y',np.object_),('z','O')])
f = StringIO()
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"""
import pickle
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_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_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)
errstate = np.seterr(all='raise')
try:
sstr = np.array_str(s)
finally:
np.seterr(**errstate)
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(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"""
import cPickle
x = np.array(["DROND", "DROND1"], dtype="U6")
el = x[1]
new = cPickle.loads(cPickle.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)
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]))
def test_compress_small_type(self, level=rlevel):
"""Ticket #789, changeset 5217.
"""
# compress with out argument segfaulted if cannot cast safely
import numpy as np
a = np.array([[1, 2], [3, 4]])
b = np.zeros((2, 1), dtype = np.single)
try:
a.compress([True, False], axis = 1, out = b)
raise AssertionError("compress with an out which cannot be " \
"safely casted should not return "\
"successfully")
except TypeError:
pass
def test_attributes(self, level=rlevel):
"""Ticket #791
"""
class TestArray(np.ndarray):
def __new__(cls, data, info):
result = np.array(data)
result = result.view(cls)
result.info = info
return result
def __array_finalize__(self, obj):
self.info = getattr(obj, 'info', '')
dat = TestArray([[1,2,3,4],[5,6,7,8]],'jubba')
assert_(dat.info == 'jubba')
dat.resize((4,2))
assert_(dat.info == 'jubba')
dat.sort()
assert_(dat.info == 'jubba')
dat.fill(2)
assert_(dat.info == 'jubba')
dat.put([2,3,4],[6,3,4])
assert_(dat.info == 'jubba')
dat.setfield(4, np.int32,0)
assert_(dat.info == 'jubba')
dat.setflags()
assert_(dat.info == 'jubba')
assert_(dat.all(1).info == 'jubba')
assert_(dat.any(1).info == 'jubba')
assert_(dat.argmax(1).info == 'jubba')
assert_(dat.argmin(1).info == 'jubba')
assert_(dat.argsort(1).info == 'jubba')
assert_(dat.astype(TestArray).info == 'jubba')
assert_(dat.byteswap().info == 'jubba')
assert_(dat.clip(2,7).info == 'jubba')
assert_(dat.compress([0,1,1]).info == 'jubba')
assert_(dat.conj().info == 'jubba')
assert_(dat.conjugate().info == 'jubba')
assert_(dat.copy().info == 'jubba')
dat2 = TestArray([2, 3, 1, 0],'jubba')
choices = [[0, 1, 2, 3], [10, 11, 12, 13],
[20, 21, 22, 23], [30, 31, 32, 33]]
assert_(dat2.choose(choices).info == 'jubba')
assert_(dat.cumprod(1).info == 'jubba')
assert_(dat.cumsum(1).info == 'jubba')
assert_(dat.diagonal().info == 'jubba')
assert_(dat.flatten().info == 'jubba')
assert_(dat.getfield(np.int32,0).info == 'jubba')
assert_(dat.imag.info == 'jubba')
assert_(dat.max(1).info == 'jubba')
assert_(dat.mean(1).info == 'jubba')
assert_(dat.min(1).info == 'jubba')
assert_(dat.newbyteorder().info == 'jubba')
assert_(dat.nonzero()[0].info == 'jubba')
assert_(dat.nonzero()[1].info == 'jubba')
assert_(dat.prod(1).info == 'jubba')
assert_(dat.ptp(1).info == 'jubba')
assert_(dat.ravel().info == 'jubba')
assert_(dat.real.info == 'jubba')
assert_(dat.repeat(2).info == 'jubba')
assert_(dat.reshape((2,4)).info == 'jubba')
assert_(dat.round().info == 'jubba')
assert_(dat.squeeze().info == 'jubba')
assert_(dat.std(1).info == 'jubba')
assert_(dat.sum(1).info == 'jubba')
assert_(dat.swapaxes(0,1).info == 'jubba')
assert_(dat.take([2,3,5]).info == 'jubba')
assert_(dat.transpose().info == 'jubba')
assert_(dat.T.info == 'jubba')
assert_(dat.var(1).info == 'jubba')
assert_(dat.view(TestArray).info == 'jubba')
def test_recarray_tolist(self, level=rlevel):
"""Ticket #793, changeset r5215
"""
# Comparisons fail for NaN, so we can't use random memory
# for the test.
buf = np.zeros(40, dtype=np.int8)
a = np.recarray(2, formats="i4,f8,f8", names="id,x,y", buf=buf)
b = a.tolist()
assert_( a[0].tolist() == b[0])
assert_( a[1].tolist() == b[1])
def test_nonscalar_item_method(self):
# Make sure that .item() fails graciously when it should
a = np.arange(5)
assert_raises(ValueError, a.item)
def test_char_array_creation(self, level=rlevel):
a = np.array('123', dtype='c')
b = np.array(asbytes_nested(['1','2','3']))
assert_equal(a,b)
def test_unaligned_unicode_access(self, level=rlevel) :
"""Ticket #825"""
for i in range(1,9) :
msg = 'unicode offset: %d chars'%i
t = np.dtype([('a','S%d'%i),('b','U2')])
x = np.array([(asbytes('a'),u'b')], dtype=t)
if sys.version_info[0] >= 3:
assert_equal(str(x), "[(b'a', 'b')]", err_msg=msg)
else:
assert_equal(str(x), "[('a', u'b')]", err_msg=msg)
def test_sign_for_complex_nan(self, level=rlevel):
"""Ticket 794."""
olderr = np.seterr(invalid='ignore')
try:
C = np.array([-np.inf, -2+1j, 0, 2-1j, np.inf, np.nan])
have = np.sign(C)
want = np.array([-1+0j, -1+0j, 0+0j, 1+0j, 1+0j, np.nan])
assert_equal(have, want)
finally:
np.seterr(**olderr)
def test_for_equal_names(self, level=rlevel):
"""Ticket #674"""
dt = np.dtype([('foo', float), ('bar', float)])
a = np.zeros(10, dt)
b = list(a.dtype.names)
b[0] = "notfoo"
a.dtype.names = b
assert_(a.dtype.names[0] == "notfoo")
assert_(a.dtype.names[1] == "bar")
def test_for_object_scalar_creation(self, level=rlevel):
"""Ticket #816"""
a = np.object_()
b = np.object_(3)
b2 = np.object_(3.0)
c = np.object_([4,5])
d = np.object_([None, {}, []])
assert_(a is None)
assert_(type(b) is int)
assert_(type(b2) is float)
assert_(type(c) is np.ndarray)
assert_(c.dtype == object)
assert_(d.dtype == object)
def test_array_resize_method_system_error(self):
"""Ticket #840 - order should be an invalid keyword."""
x = np.array([[0,1],[2,3]])
self.assertRaises(TypeError, x.resize, (2,2), order='C')
def test_for_zero_length_in_choose(self, level=rlevel):
"Ticket #882"
a = np.array(1)
self.assertRaises(ValueError, lambda x: x.choose([]), a)
def test_array_ndmin_overflow(self):
"Ticket #947."
self.assertRaises(ValueError, lambda: np.array([1], ndmin=33))
def test_errobj_reference_leak(self, level=rlevel):
"""Ticket #955"""
old_err = np.seterr(all="ignore")
try:
z = int(0)
p = np.int32(-1)
gc.collect()
n_before = len(gc.get_objects())
z**p # this shouldn't leak a reference to errobj
gc.collect()
n_after = len(gc.get_objects())
assert_(n_before >= n_after, (n_before, n_after))
finally:
np.seterr(**old_err)
def test_void_scalar_with_titles(self, level=rlevel):
"""No ticket"""
data = [('john', 4), ('mary', 5)]
dtype1 = [(('source:yy', 'name'), 'O'), (('source:xx', 'id'), int)]
arr = np.array(data, dtype=dtype1)
assert_(arr[0][0] == 'john')
assert_(arr[0][1] == 4)
def test_blasdot_uninitialized_memory(self):
"""Ticket #950"""
for m in [0, 1, 2]:
for n in [0, 1, 2]:
for k in xrange(3):
# Try to ensure that x->data contains non-zero floats
x = np.array([123456789e199], dtype=np.float64)
x.resize((m, 0))
y = np.array([123456789e199], dtype=np.float64)
y.resize((0, n))
# `dot` should just return zero (m,n) matrix
z = np.dot(x, y)
assert_(np.all(z == 0))
assert_(z.shape == (m, n))
def test_zeros(self):
"""Regression test for #1061."""
# Set a size which cannot fit into a 64 bits signed integer
sz = 2 ** 64
good = 'Maximum allowed dimension exceeded'
try:
np.empty(sz)
except ValueError, e:
if not str(e) == good:
self.fail("Got msg '%s', expected '%s'" % (e, good))
except Exception, e:
self.fail("Got exception of type %s instead of ValueError" % type(e))
def test_huge_arange(self):
"""Regression test for #1062."""
# Set a size which cannot fit into a 64 bits signed integer
sz = 2 ** 64
good = 'Maximum allowed size exceeded'
try:
a = np.arange(sz)
self.assertTrue(np.size == sz)
except ValueError, e:
if not str(e) == good:
self.fail("Got msg '%s', expected '%s'" % (e, good))
except Exception, e:
self.fail("Got exception of type %s instead of ValueError" % type(e))
def test_fromiter_bytes(self):
"""Ticket #1058"""
a = np.fromiter(range(10), dtype='b')
b = np.fromiter(range(10), dtype='B')
assert_(np.alltrue(a == np.array([0,1,2,3,4,5,6,7,8,9])))
assert_(np.alltrue(b == np.array([0,1,2,3,4,5,6,7,8,9])))
def test_array_from_sequence_scalar_array(self):
"""Ticket #1078: segfaults when creating an array with a sequence of 0d
arrays."""
a = np.array((np.ones(2), np.array(2)))
assert_equal(a.shape, (2,))
assert_equal(a.dtype, np.dtype(object))
assert_equal(a[0], np.ones(2))
assert_equal(a[1], np.array(2))
a = np.array(((1,), np.array(1)))
assert_equal(a.shape, (2,))
assert_equal(a.dtype, np.dtype(object))
assert_equal(a[0], (1,))
assert_equal(a[1], np.array(1))
def test_array_from_sequence_scalar_array2(self):
"""Ticket #1081: weird array with strange input..."""
t = np.array([np.array([]), np.array(0, object)])
assert_equal(t.shape, (2,))
assert_equal(t.dtype, np.dtype(object))
def test_array_too_big(self):
"""Ticket #1080."""
assert_raises(ValueError, np.zeros, [975]*7, np.int8)
assert_raises(ValueError, np.zeros, [26244]*5, np.int8)
def test_dtype_keyerrors_(self):
"""Ticket #1106."""
dt = np.dtype([('f1', np.uint)])
assert_raises(KeyError, dt.__getitem__, "f2")
assert_raises(IndexError, dt.__getitem__, 1)
assert_raises(ValueError, dt.__getitem__, 0.0)
def test_lexsort_buffer_length(self):
"""Ticket #1217, don't segfault."""
a = np.ones(100, dtype=np.int8)
b = np.ones(100, dtype=np.int32)
i = np.lexsort((a[::-1], b))
assert_equal(i, np.arange(100, dtype=np.int))
def test_object_array_to_fixed_string(self):
"""Ticket #1235."""
a = np.array(['abcdefgh', 'ijklmnop'], dtype=np.object_)
b = np.array(a, dtype=(np.str_, 8))
assert_equal(a, b)
c = np.array(a, dtype=(np.str_, 5))
assert_equal(c, np.array(['abcde', 'ijklm']))
d = np.array(a, dtype=(np.str_, 12))
assert_equal(a, d)
e = np.empty((2, ), dtype=(np.str_, 8))
e[:] = a[:]
assert_equal(a, e)
def test_unicode_to_string_cast(self):
"""Ticket #1240."""
a = np.array([[u'abc', u'\u03a3'], [u'asdf', u'erw']], dtype='U')
def fail():
b = np.array(a, 'S4')
self.assertRaises(UnicodeEncodeError, fail)
def test_mixed_string_unicode_array_creation(self):
a = np.array(['1234', u'123'])
assert_(a.itemsize == 16)
a = np.array([u'123', '1234'])
assert_(a.itemsize == 16)
a = np.array(['1234', u'123', '12345'])
assert_(a.itemsize == 20)
a = np.array([u'123', '1234', u'12345'])
assert_(a.itemsize == 20)
a = np.array([u'123', '1234', u'1234'])
assert_(a.itemsize == 16)
def test_misaligned_objects_segfault(self):
"""Ticket #1198 and #1267"""
a1 = np.zeros((10,), dtype='O,c')
a2 = np.array(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'], 'S10')
a1['f0'] = a2
r = repr(a1)
np.argmax(a1['f0'])
a1['f0'][1] = "FOO"
a1['f0'] = "FOO"
a3 = np.array(a1['f0'], dtype='S')
np.nonzero(a1['f0'])
a1.sort()
a4 = copy.deepcopy(a1)
def test_misaligned_scalars_segfault(self):
"""Ticket #1267"""
s1 = np.array(('a', 'Foo'), dtype='c,O')
s2 = np.array(('b', 'Bar'), dtype='c,O')
s1['f1'] = s2['f1']
s1['f1'] = 'Baz'
def test_misaligned_dot_product_objects(self):
"""Ticket #1267"""
# This didn't require a fix, but it's worth testing anyway, because
# it may fail if .dot stops enforcing the arrays to be BEHAVED
a = np.array([[(1, 'a'), (0, 'a')], [(0, 'a'), (1, 'a')]], dtype='O,c')
b = np.array([[(4, 'a'), (1, 'a')], [(2, 'a'), (2, 'a')]], dtype='O,c')
np.dot(a['f0'], b['f0'])
def test_byteswap_complex_scalar(self):
"""Ticket #1259 and gh-441"""
for dtype in [np.dtype('<'+t) for t in np.typecodes['Complex']]:
z = np.array([2.2-1.1j], dtype)
x = z[0] # always native-endian
y = x.byteswap()
if x.dtype.byteorder == z.dtype.byteorder:
# little-endian machine
assert_equal(x, np.fromstring(y.tostring(), dtype=dtype.newbyteorder()))
else:
# big-endian machine
assert_equal(x, np.fromstring(y.tostring(), dtype=dtype))
# double check real and imaginary parts:
assert_equal(x.real, y.real.byteswap())
assert_equal(x.imag, y.imag.byteswap())
def test_structured_arrays_with_objects1(self):
"""Ticket #1299"""
stra = 'aaaa'
strb = 'bbbb'
x = np.array([[(0,stra),(1,strb)]], 'i8,O')
x[x.nonzero()] = x.ravel()[:1]
assert_(x[0,1] == x[0,0])
def test_structured_arrays_with_objects2(self):
"""Ticket #1299 second test"""
stra = 'aaaa'
strb = 'bbbb'
numb = sys.getrefcount(strb)
numa = sys.getrefcount(stra)
x = np.array([[(0,stra),(1,strb)]], 'i8,O')
x[x.nonzero()] = x.ravel()[:1]
assert_(sys.getrefcount(strb) == numb)
assert_(sys.getrefcount(stra) == numa + 2)
def test_duplicate_title_and_name(self):
"""Ticket #1254"""
def func():
x = np.dtype([(('a', 'a'), 'i'), ('b', 'i')])
self.assertRaises(ValueError, func)
def test_signed_integer_division_overflow(self):
"""Ticket #1317."""
def test_type(t):
min = np.array([np.iinfo(t).min])
min //= -1
old_err = np.seterr(divide="ignore")
try:
for t in (np.int8, np.int16, np.int32, np.int64, np.int, np.long):
test_type(t)
finally:
np.seterr(**old_err)
def test_buffer_hashlib(self):
try:
from hashlib import md5
except ImportError:
from md5 import new as md5
x = np.array([1,2,3], dtype=np.dtype('<i4'))
assert_equal(md5(x).hexdigest(), '2a1dd1e1e59d0a384c26951e316cd7e6')
def test_numeric_handleError(self):
"""Ticket #1405"""
from numpy import numarray
# Just make sure this doesn't throw an exception
numarray.handleError(0, "")
def test_0d_string_scalar(self):
# Bug #1436; the following should succeed
np.asarray('x', '>c')
def test_log1p_compiler_shenanigans(self):
# Check if log1p is behaving on 32 bit intel systems.
assert_(np.isfinite(np.log1p(np.exp2(-53))))
def test_fromiter_comparison(self, level=rlevel):
a = np.fromiter(range(10), dtype='b')
b = np.fromiter(range(10), dtype='B')
assert_(np.alltrue(a == np.array([0,1,2,3,4,5,6,7,8,9])))
assert_(np.alltrue(b == np.array([0,1,2,3,4,5,6,7,8,9])))
def test_fromstring_crash(self):
# Ticket #1345: the following should not cause a crash
np.fromstring(asbytes('aa, aa, 1.0'), sep=',')
def test_ticket_1539(self):
dtypes = [x for x in np.typeDict.values()
if (issubclass(x, np.number)
and not issubclass(x, np.timedelta64))]
a = np.array([], dtypes[0])
failures = []
for x in dtypes:
b = a.astype(x)
for y in dtypes:
c = a.astype(y)
try:
np.dot(b, c)
except TypeError, e:
failures.append((x, y))
if failures:
raise AssertionError("Failures: %r" % failures)
def test_ticket_1538(self):
x = np.finfo(np.float32)
for name in 'eps epsneg max min resolution tiny'.split():
assert_equal(type(getattr(x, name)), np.float32,
err_msg=name)
def test_ticket_1434(self):
# Check that the out= argument in var and std has an effect
data = np.array(((1,2,3),(4,5,6),(7,8,9)))
out = np.zeros((3,))
ret = data.var(axis=1, out=out)
assert_(ret is out)
assert_array_equal(ret, data.var(axis=1))
ret = data.std(axis=1, out=out)
assert_(ret is out)
assert_array_equal(ret, data.std(axis=1))
def test_complex_nan_maximum(self):
cnan = complex(0, np.nan)
assert_equal(np.maximum(1, cnan), cnan)
def test_subclass_int_tuple_assignment(self):
# ticket #1563
class Subclass(np.ndarray):
def __new__(cls,i):
return np.ones((i,)).view(cls)
x = Subclass(5)
x[(0,)] = 2 # shouldn't raise an exception
assert_equal(x[0], 2)
def test_ufunc_no_unnecessary_views(self):
# ticket #1548
class Subclass(np.ndarray):
pass
x = np.array([1,2,3]).view(Subclass)
y = np.add(x, x, x)
assert_equal(id(x), id(y))
def test_take_refcount(self):
# ticket #939
a = np.arange(16, dtype=np.float)
a.shape = (4,4)
lut = np.ones((5 + 3, 4), np.float)
rgba = np.empty(shape=a.shape + (4,), dtype=lut.dtype)
c1 = sys.getrefcount(rgba)
try:
lut.take(a, axis=0, mode='clip', out=rgba)
except TypeError:
pass
c2 = sys.getrefcount(rgba)
assert_equal(c1, c2)
def test_fromfile_tofile_seeks(self):
# On Python 3, tofile/fromfile used to get (#1610) the Python
# file handle out of sync
f0 = tempfile.NamedTemporaryFile()
f = f0.file
f.write(np.arange(255, dtype='u1').tostring())
f.seek(20)
ret = np.fromfile(f, count=4, dtype='u1')
assert_equal(ret, np.array([20, 21, 22, 23], dtype='u1'))
assert_equal(f.tell(), 24)
f.seek(40)
np.array([1, 2, 3], dtype='u1').tofile(f)
assert_equal(f.tell(), 43)
f.seek(40)
data = f.read(3)
assert_equal(data, asbytes("\x01\x02\x03"))
f.seek(80)
f.read(4)
data = np.fromfile(f, dtype='u1', count=4)
assert_equal(data, np.array([84, 85, 86, 87], dtype='u1'))
f.close()
def test_complex_scalar_warning(self):
for tp in [np.csingle, np.cdouble, np.clongdouble]:
x = tp(1+2j)
assert_warns(np.ComplexWarning, float, x)
warn_ctx = WarningManager()
warn_ctx.__enter__()
try:
warnings.simplefilter('ignore')
assert_equal(float(x), float(x.real))
finally:
warn_ctx.__exit__()
def test_complex_scalar_complex_cast(self):
for tp in [np.csingle, np.cdouble, np.clongdouble]:
x = tp(1+2j)
assert_equal(complex(x), 1+2j)
def test_complex_boolean_cast(self):
"""Ticket #2218"""
for tp in [np.csingle, np.cdouble, np.clongdouble]:
x = np.array([0, 0+0.5j, 0.5+0j], dtype=tp)
assert_equal(x.astype(bool), np.array([0, 1, 1], dtype=bool))
assert_(np.any(x))
assert_(np.all(x[1:]))
def test_uint_int_conversion(self):
x = 2**64 - 1
assert_equal(int(np.uint64(x)), x)
def test_duplicate_field_names_assign(self):
ra = np.fromiter(((i*3, i*2) for i in xrange(10)), dtype='i8,f8')
ra.dtype.names = ('f1', 'f2')
rep = repr(ra) # should not cause a segmentation fault
assert_raises(ValueError, setattr, ra.dtype, 'names', ('f1', 'f1'))
def test_eq_string_and_object_array(self):
# From e-mail thread "__eq__ with str and object" (Keith Goodman)
a1 = np.array(['a', 'b'], dtype=object)
a2 = np.array(['a', 'c'])
assert_array_equal(a1 == a2, [True, False])
assert_array_equal(a2 == a1, [True, False])
def test_nonzero_byteswap(self):
a = np.array([0x80000000, 0x00000080, 0], dtype=np.uint32)
a.dtype = np.float32
assert_equal(a.nonzero()[0], [1])
a = a.byteswap().newbyteorder()
assert_equal(a.nonzero()[0], [1]) # [0] if nonzero() ignores swap
def test_find_common_type_boolean(self):
# Ticket #1695
assert_(np.find_common_type([],['?','?']) == '?')
def test_empty_mul(self):
a = np.array([1.])
a[1:1] *= 2
assert_equal(a, [1.])
def test_array_side_effect(self):
assert_equal(np.dtype('S10').itemsize, 10)
A = np.array([['abc', 2], ['long ', '0123456789']], dtype=np.string_)
# This was throwing an exception because in ctors.c,
# discover_itemsize was calling PyObject_Length without checking
# the return code. This failed to get the length of the number 2,
# and the exception hung around until something checked
# PyErr_Occurred() and returned an error.
assert_equal(np.dtype('S10').itemsize, 10)
def test_any_float(self):
# all and any for floats
a = np.array([0.1, 0.9])
assert_(np.any(a))
assert_(np.all(a))
def test_large_float_sum(self):
a = np.arange(10000, dtype='f')
assert_equal(a.sum(dtype='d'), a.astype('d').sum())
def test_ufunc_casting_out(self):
a = np.array(1.0, dtype=np.float32)
b = np.array(1.0, dtype=np.float64)
c = np.array(1.0, dtype=np.float32)
np.add(a, b, out=c)
assert_equal(c, 2.0)
def test_array_scalar_contiguous(self):
# Array scalars are both C and Fortran contiguous
assert_(np.array(1.0).flags.c_contiguous)
assert_(np.array(1.0).flags.f_contiguous)
assert_(np.array(np.float32(1.0)).flags.c_contiguous)
assert_(np.array(np.float32(1.0)).flags.f_contiguous)
def test_squeeze_contiguous(self):
"""Similar to GitHub issue #387"""
a = np.zeros((1,2)).squeeze()
b = np.zeros((2,2,2), order='F')[:,:,::2].squeeze()
assert_(a.flags.c_contiguous)
assert_(a.flags.f_contiguous)
assert_(b.flags.f_contiguous)
def test_reduce_contiguous(self):
"""GitHub issue #387"""
a = np.add.reduce(np.zeros((2,1,2)), (0,1))
b = np.add.reduce(np.zeros((2,1,2)), 1)
assert_(a.flags.c_contiguous)
assert_(a.flags.f_contiguous)
assert_(b.flags.c_contiguous)
def test_object_array_self_reference(self):
# Object arrays with references to themselves can cause problems
a = np.array(0, dtype=object)
a[()] = a
assert_raises(TypeError, int, a)
assert_raises(TypeError, long, a)
assert_raises(TypeError, float, a)
assert_raises(TypeError, oct, a)
assert_raises(TypeError, hex, a)
# This was causing a to become like the above
a = np.array(0, dtype=object)
a[...] += 1
assert_equal(a, 1)
def test_zerosize_accumulate(self):
"Ticket #1733"
x = np.array([[42, 0]], dtype=np.uint32)
assert_equal(np.add.accumulate(x[:-1,0]), [])
def test_objectarray_setfield(self):
# Setfield directly manipulates the raw array data,
# so is invalid for object arrays.
x = np.array([1,2,3], dtype=object)
assert_raises(RuntimeError, x.setfield, 4, np.int32, 0)
def test_setting_rank0_string(self):
"Ticket #1736"
s1 = asbytes("hello1")
s2 = asbytes("hello2")
a = np.zeros((), dtype="S10")
a[()] = s1
assert_equal(a, np.array(s1))
a[()] = np.array(s2)
assert_equal(a, np.array(s2))
a = np.zeros((), dtype='f4')
a[()] = 3
assert_equal(a, np.array(3))
a[()] = np.array(4)
assert_equal(a, np.array(4))
def test_string_astype(self):
"Ticket #1748"
s1 = asbytes('black')
s2 = asbytes('white')
s3 = asbytes('other')
a = np.array([[s1],[s2],[s3]])
assert_equal(a.dtype, np.dtype('S5'))
b = a.astype(np.dtype('S0'))
assert_equal(b.dtype, np.dtype('S5'))
def test_ticket_1756(self):
"""Ticket #1756 """
s = asbytes('0123456789abcdef')
a = np.array([s]*5)
for i in range(1,17):
a1 = np.array(a, "|S%d"%i)
a2 = np.array([s[:i]]*5)
assert_equal(a1, a2)
def test_fields_strides(self):
"Ticket #1760"
r=np.fromstring('abcdefghijklmnop'*4*3, dtype='i4,(2,3)u2')
assert_equal(r[0:3:2]['f1'], r['f1'][0:3:2])
assert_equal(r[0:3:2]['f1'][0], r[0:3:2][0]['f1'])
assert_equal(r[0:3:2]['f1'][0][()], r[0:3:2][0]['f1'][()])
assert_equal(r[0:3:2]['f1'][0].strides, r[0:3:2][0]['f1'].strides)
def test_ticket_1770(self):
"Should not segfault on python 3k"
import numpy as np
try:
a = np.zeros((1,), dtype=[('f1', 'f')])
a['f1'] = 1
a['f2'] = 1
except ValueError:
pass
except:
raise AssertionError
def test_ticket_1608(self):
"x.flat shouldn't modify data"
x = np.array([[1,2],[3,4]]).T
y = np.array(x.flat)
assert_equal(x, [[1,3],[2,4]])
def test_pickle_string_overwrite(self):
import re
data = np.array([1], dtype='b')
blob = pickle.dumps(data, protocol=1)
data = pickle.loads(blob)
# Check that loads does not clobber interned strings
s = re.sub("a(.)", "\x01\\1", "a_")
assert_equal(s[0], "\x01")
data[0] = 0xbb
s = re.sub("a(.)", "\x01\\1", "a_")
assert_equal(s[0], "\x01")
def test_pickle_bytes_overwrite(self):
if sys.version_info[0] >= 3:
data = np.array([1], dtype='b')
data = pickle.loads(pickle.dumps(data))
data[0] = 0xdd
bytestring = "\x01 ".encode('ascii')
assert_equal(bytestring[0:1], '\x01'.encode('ascii'))
def test_structured_type_to_object(self):
a_rec = np.array([(0,1), (3,2)], dtype='i4,i8')
a_obj = np.empty((2,), dtype=object)
a_obj[0] = (0,1)
a_obj[1] = (3,2)
# astype records -> object
assert_equal(a_rec.astype(object), a_obj)
# '=' records -> object
b = np.empty_like(a_obj)
b[...] = a_rec
assert_equal(b, a_obj)
# '=' object -> records
b = np.empty_like(a_rec)
b[...] = a_obj
assert_equal(b, a_rec)
def test_assign_obj_listoflists(self):
# Ticket # 1870
# The inner list should get assigned to the object elements
a = np.zeros(4, dtype=object)
b = a.copy()
a[0] = [1]
a[1] = [2]
a[2] = [3]
a[3] = [4]
b[...] = [[1], [2], [3], [4]]
assert_equal(a, b)
# The first dimension should get broadcast
a = np.zeros((2,2), dtype=object)
a[...] = [[1,2]]
assert_equal(a, [[1,2], [1,2]])
def test_memoryleak(self):
# Ticket #1917 - ensure that array data doesn't leak
for i in range(1000):
# 100MB times 1000 would give 100GB of memory usage if it leaks
a = np.empty((100000000,), dtype='i1')
del a
def test_ufunc_reduce_memoryleak(self):
a = np.arange(6)
acnt = sys.getrefcount(a)
res = np.add.reduce(a)
assert_equal(sys.getrefcount(a), acnt)
def test_search_sorted_invalid_arguments(self):
# Ticket #2021, should not segfault.
x = np.arange(0, 4, dtype='datetime64[D]')
assert_raises(TypeError, x.searchsorted, 1)
def test_string_truncation(self):
# Ticket #1990 - Data can be truncated in creation of an array from a
# mixed sequence of numeric values and strings
for val in [True, 1234, 123.4, complex(1, 234)]:
for tostr in [asunicode, asbytes]:
b = np.array([val, tostr('xx')])
assert_equal(tostr(b[0]), tostr(val))
b = np.array([tostr('xx'), val])
assert_equal(tostr(b[1]), tostr(val))
# test also with longer strings
b = np.array([val, tostr('xxxxxxxxxx')])
assert_equal(tostr(b[0]), tostr(val))
b = np.array([tostr('xxxxxxxxxx'), val])
assert_equal(tostr(b[1]), tostr(val))
def test_string_truncation_ucs2(self):
# Ticket #2081. Python compiled with two byte unicode
# can lead to truncation if itemsize is not properly
# adjusted for Numpy's four byte unicode.
if sys.version_info[0] >= 3:
a = np.array(['abcd'])
else:
a = np.array([u'abcd'])
assert_equal(a.dtype.itemsize, 16)
def test_unique_stable(self):
# Ticket #2063 must always choose stable sort for argsort to
# get consistent results
v = np.array(([0]*5 + [1]*6 + [2]*6)*4)
res = np.unique(v, return_index=True)
tgt = (np.array([0, 1, 2]), np.array([ 0, 5, 11]))
assert_equal(res, tgt)
def test_unicode_alloc_dealloc_match(self):
# Ticket #1578, the mismatch only showed up when running
# python-debug for python versions >= 2.7, and then as
# a core dump and error message.
a = np.array(['abc'], dtype=np.unicode)[0]
del a
def test_refcount_error_in_clip(self):
# Ticket #1588
a = np.zeros((2,), dtype='>i2').clip(min=0)
x = a + a
# This used to segfault:
y = str(x)
# Check the final string:
assert_(y == "[0 0]")
def test_searchsorted_wrong_dtype(self):
# Ticket #2189, it used to segfault, so we check that it raises the
# proper exception.
a = np.array([('a', 1)], dtype='S1, int')
assert_raises(TypeError, np.searchsorted, a, 1.2)
# Ticket #2066, similar problem:
dtype = np.format_parser(['i4', 'i4'], [], [])
a = np.recarray((2, ), dtype)
assert_raises(TypeError, np.searchsorted, a, 1)
def test_complex64_alignment(self):
# Issue gh-2668 (trac 2076), segfault on sparc due to misalignment
dtt = np.complex64
arr = np.arange(10, dtype=dtt)
# 2D array
arr2 = np.reshape(arr, (2, 5))
# Fortran write followed by (C or F) read caused bus error
data_str = arr2.tostring('F')
data_back = np.ndarray(arr2.shape,
arr2.dtype,
buffer=data_str,
order='F')
assert_array_equal(arr2, data_back)
if __name__ == "__main__":
run_module_suite()