def test_testMasked(self):
# Test of masked element
xx = arange(6)
xx[1] = masked
assert_(str(masked) == '--')
assert_(xx[1] is masked)
assert_equal(filled(xx[1], 0), 0)
def test_testTakeTransposeInnerOuter(self):
# Test of take, transpose, inner, outer products
x = arange(24)
y = np.arange(24)
x[5:6] = masked
x = x.reshape(2, 3, 4)
y = y.reshape(2, 3, 4)
assert_(eq(np.transpose(y, (2, 0, 1)), transpose(x, (2, 0, 1))))
assert_(eq(np.take(y, (2, 0, 1), 1), take(x, (2, 0, 1), 1)))
assert_(eq(np.inner(filled(x, 0), filled(y, 0)),
inner(x, y)))
assert_(eq(np.outer(filled(x, 0), filled(y, 0)),
outer(x, y)))
y = array(['abc', 1, 'def', 2, 3], object)
y[2] = masked
t = take(y, [0, 3, 4])
assert_(t[0] == 'abc')
assert_(t[1] == 2)
assert_(t[2] == 3)
def __setattr__(self, attr, val):
"""
Sets the attribute attr to the value val.
"""
# Should we call __setmask__ first ?
if attr in ['mask', 'fieldmask']:
self.__setmask__(val)
return
# Create a shortcut (so that we don't have to call getattr all the time)
_localdict = object.__getattribute__(self, '__dict__')
# Check whether we're creating a new field
newattr = attr not in _localdict
try:
# Is attr a generic attribute ?
ret = object.__setattr__(self, attr, val)
except Exception:
# Not a generic attribute: exit if it's not a valid field
fielddict = ndarray.__getattribute__(self, 'dtype').fields or {}
optinfo = ndarray.__getattribute__(self, '_optinfo') or {}
if not (attr in fielddict or attr in optinfo):
exctype, value = sys.exc_info()[:2]
raise exctype(value)
else:
# Get the list of names
fielddict = ndarray.__getattribute__(self, 'dtype').fields or {}
# Check the attribute
if attr not in fielddict:
return ret
if newattr:
# We just added this one or this setattr worked on an
# internal attribute.
try:
object.__delattr__(self, attr)
except Exception:
return ret
# Let's try to set the field
try:
res = fielddict[attr][:2]
except (TypeError, KeyError):
raise AttributeError("record array has no attribute %s" % attr)
if val is masked:
_fill_value = _localdict['_fill_value']
if _fill_value is not None:
dval = _localdict['_fill_value'][attr]
else:
dval = val
mval = True
else:
dval = filled(val)
mval = getmaskarray(val)
obj = ndarray.__getattribute__(self, '_data').setfield(dval, *res)
_localdict['_mask'].__setitem__(attr, mval)
return obj
def test_testAddSumProd(self):
# Test add, sum, product.
(x, y, a10, m1, m2, xm, ym, z, zm, xf, s) = self.d
assert_(eq(np.add.reduce(x), add.reduce(x)))
assert_(eq(np.add.accumulate(x), add.accumulate(x)))
assert_(eq(4, sum(array(4), axis=0)))
assert_(eq(4, sum(array(4), axis=0)))
assert_(eq(np.sum(x, axis=0), sum(x, axis=0)))
assert_(eq(np.sum(filled(xm, 0), axis=0), sum(xm, axis=0)))
assert_(eq(np.sum(x, 0), sum(x, 0)))
assert_(eq(np.product(x, axis=0), product(x, axis=0)))
assert_(eq(np.product(x, 0), product(x, 0)))
assert_(eq(np.product(filled(xm, 1), axis=0),
product(xm, axis=0)))
if len(s) > 1:
assert_(eq(np.concatenate((x, y), 1),
concatenate((xm, ym), 1)))
assert_(eq(np.add.reduce(x, 1), add.reduce(x, 1)))
assert_(eq(np.sum(x, 1), sum(x, 1)))
assert_(eq(np.product(x, 1), product(x, 1)))
def test_testBasic1d(self):
# Test of basic array creation and properties in 1 dimension.
(x, y, a10, m1, m2, xm, ym, z, zm, xf, s) = self.d
assert_(not isMaskedArray(x))
assert_(isMaskedArray(xm))
assert_equal(shape(xm), s)
assert_equal(xm.shape, s)
assert_equal(xm.dtype, x.dtype)
assert_equal(xm.size, reduce(lambda x, y:x * y, s))
assert_equal(count(xm), len(m1) - reduce(lambda x, y:x + y, m1))
assert_(eq(xm, xf))
assert_(eq(filled(xm, 1.e20), xf))
assert_(eq(x, xm))
def test_testCopySize(self):
# Tests of some subtle points of copying and sizing.
n = [0, 0, 1, 0, 0]
m = make_mask(n)
m2 = make_mask(m)
assert_(m is m2)
m3 = make_mask(m, copy=1)
assert_(m is not m3)
x1 = np.arange(5)
y1 = array(x1, mask=m)
assert_(y1._data is not x1)
assert_(allequal(x1, y1._data))
assert_(y1.mask is m)
y1a = array(y1, copy=0)
# For copy=False, one might expect that the array would just
# passed on, i.e., that it would be "is" instead of "==".
# See gh-4043 for discussion.
assert_(y1a._mask.__array_interface__ ==
y1._mask.__array_interface__)
y2 = array(x1, mask=m3, copy=0)
assert_(y2.mask is m3)
assert_(y2[2] is masked)
y2[2] = 9
assert_(y2[2] is not masked)
assert_(y2.mask is m3)
assert_(allequal(y2.mask, 0))
y2a = array(x1, mask=m, copy=1)
assert_(y2a.mask is not m)
assert_(y2a[2] is masked)
y2a[2] = 9
assert_(y2a[2] is not masked)
assert_(y2a.mask is not m)
assert_(allequal(y2a.mask, 0))
y3 = array(x1 * 1.0, mask=m)
assert_(filled(y3).dtype is (x1 * 1.0).dtype)
x4 = arange(4)
x4[2] = masked
y4 = resize(x4, (8,))
assert_(eq(concatenate([x4, x4]), y4))
assert_(eq(getmask(y4), [0, 0, 1, 0, 0, 0, 1, 0]))
y5 = repeat(x4, (2, 2, 2, 2), axis=0)
assert_(eq(y5, [0, 0, 1, 1, 2, 2, 3, 3]))
y6 = repeat(x4, 2, axis=0)
assert_(eq(y5, y6))
def _fix_output(output, usemask=True, asrecarray=False):
"""
Private function: return a recarray, a ndarray, a MaskedArray
or a MaskedRecords depending on the input parameters
"""
if not isinstance(output, MaskedArray):
usemask = False
if usemask:
if asrecarray:
output = output.view(MaskedRecords)
else:
output = ma.filled(output)
if asrecarray:
output = output.view(recarray)
return output
def test_testBasic2d(self):
# Test of basic array creation and properties in 2 dimensions.
for s in [(4, 3), (6, 2)]:
(x, y, a10, m1, m2, xm, ym, z, zm, xf, s) = self.d
x.shape = s
y.shape = s
xm.shape = s
ym.shape = s
xf.shape = s
assert_(not isMaskedArray(x))
assert_(isMaskedArray(xm))
assert_equal(shape(xm), s)
assert_equal(xm.shape, s)
assert_equal(xm.size, reduce(lambda x, y:x * y, s))
assert_equal(count(xm),
len(m1) - reduce(lambda x, y:x + y, m1))
assert_(eq(xm, xf))
assert_(eq(filled(xm, 1.e20), xf))
assert_(eq(x, xm))
self.setup()
