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from pypy.module.micronumpy.test.test_base import BaseNumpyAppTest
class AppTestFlagsObj(BaseNumpyAppTest):
def test_init(self):
import numpy as np
a = np.array([1,2,3])
assert a.flags['C'] is True
b = type(a.flags)()
assert b is not a.flags
assert b['C'] is True
s = str(b)
assert s == '%s' %(' C_CONTIGUOUS : True\n F_CONTIGUOUS : True'
'\n OWNDATA : True\n WRITEABLE : False'
'\n ALIGNED : True\n UPDATEIFCOPY : False')
a = np.array(2)
assert a.flags.owndata
def test_repr(self):
import numpy as np
a = np.array([1,2,3])
assert repr(type(a.flags)) == "<type 'numpy.flagsobj'>"
def test_array_flags(self):
import numpy as np
a = np.array([1,2,3])
assert a.flags.c_contiguous == True
assert a.flags['W'] == True
assert a.flags.fnc == False
assert a.flags.forc == True
assert a.flags['FNC'] == False
assert a.flags['FORC'] == True
assert a.flags.num == 1287
raises(KeyError, "a.flags['blah']")
raises(KeyError, "a.flags['C_CONTIGUOUS'] = False")
raises((TypeError, AttributeError), "a.flags.c_contiguous = False")
def test_scalar_flags(self):
import numpy as np
a = np.int32(2)
assert a.flags.c_contiguous == True
assert a.flags.num == 263
def test_compare(self):
import numpy as np
a = np.array([1,2,3])
b = np.array([4,5,6,7])
assert a.flags == b.flags
assert not a.flags != b.flags
def test_copy_order(self):
import numpy as np
tst = np.ones((10, 1), order='C').flags.f_contiguous
NPY_RELAXED_STRIDES_CHECKING = tst
a = np.arange(24).reshape(2, 1, 3, 4)
b = a.copy(order='F')
c = np.arange(24).reshape(2, 1, 4, 3).swapaxes(2, 3)
def check_copy_result(x, y, ccontig, fcontig, strides=False):
assert x is not y
assert (x == y).all()
assert res.flags.c_contiguous == ccontig
assert res.flags.f_contiguous == fcontig
# This check is impossible only because
# NPY_RELAXED_STRIDES_CHECKING changes the strides actively
if not NPY_RELAXED_STRIDES_CHECKING:
if strides:
assert x.strides == y.strides
else:
assert x.strides != y.strides
# Validate the initial state of a, b, and c
assert a.flags.c_contiguous
assert not a.flags.f_contiguous
assert not b.flags.c_contiguous
assert b.flags.f_contiguous
assert not c.flags.c_contiguous
assert not c.flags.f_contiguous
# Copy with order='C'
res = a.copy(order='C')
check_copy_result(res, a, ccontig=True, fcontig=False, strides=True)
res = b.copy(order='C')
check_copy_result(res, b, ccontig=True, fcontig=False, strides=False)
res = c.copy(order='C')
check_copy_result(res, c, ccontig=True, fcontig=False, strides=False)
# Copy with order='F'
res = a.copy(order='F')
check_copy_result(res, a, ccontig=False, fcontig=True, strides=False)
res = b.copy(order='F')
check_copy_result(res, b, ccontig=False, fcontig=True, strides=True)
res = c.copy(order='F')
check_copy_result(res, c, ccontig=False, fcontig=True, strides=False)
# Copy with order='K'
res = a.copy(order='K')
check_copy_result(res, a, ccontig=True, fcontig=False, strides=True)
res = b.copy(order='K')
check_copy_result(res, b, ccontig=False, fcontig=True, strides=True)
res = c.copy(order='K')
check_copy_result(res, c, ccontig=False, fcontig=False, strides=True)
def test_contiguous_flags(self):
import numpy as np
tst = np.ones((10, 1), order='C').flags.f_contiguous
NPY_RELAXED_STRIDES_CHECKING = tst
a = np.ones((4, 4, 1))[::2,:,:]
if NPY_RELAXED_STRIDES_CHECKING:
a.strides = a.strides[:2] + (-123,)
b = np.ones((2, 2, 1, 2, 2)).swapaxes(3, 4)
def check_contig(a, ccontig, fcontig):
assert a.flags.c_contiguous == ccontig
assert a.flags.f_contiguous == fcontig
# Check if new arrays are correct:
check_contig(a, False, False)
check_contig(b, False, False)
if NPY_RELAXED_STRIDES_CHECKING:
check_contig(np.empty((2, 2, 0, 2, 2)), True, True)
check_contig(np.array([[[1], [2]]], order='F'), True, True)
else:
check_contig(np.empty((2, 2, 0, 2, 2)), True, False)
check_contig(np.array([[[1], [2]]], order='F'), False, True)
check_contig(np.empty((2, 2)), True, False)
check_contig(np.empty((2, 2), order='F'), False, True)
# Check that np.array creates correct contiguous flags:
check_contig(np.array(a, copy=False), False, False)
check_contig(np.array(a, copy=False, order='C'), True, False)
check_contig(np.array(a, ndmin=4, copy=False, order='F'), False, True)
if NPY_RELAXED_STRIDES_CHECKING:
# Check slicing update of flags and :
check_contig(a[0], True, True)
check_contig(a[None, ::4, ..., None], True, True)
check_contig(b[0, 0, ...], False, True)
check_contig(b[:,:, 0:0,:,:], True, True)
else:
# Check slicing update of flags:
check_contig(a[0], True, False)
# Would be nice if this was C-Contiguous:
check_contig(a[None, 0, ..., None], False, False)
check_contig(b[0, 0, 0, ...], False, True)
# Test ravel and squeeze.
check_contig(a.ravel(), True, True)
check_contig(np.ones((1, 3, 1)).squeeze(), True, True)
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