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import scipy
import types, time
from scipy.base.ma import *
from scipy.testing import ScipyTestCase, ScipyTest
def eq(v,w):
result = allclose(v,w)
if not result:
print """Not eq:
%s
----
%s"""% (str(v), str(w))
return result
class test_ma(ScipyTestCase):
def __init__(self, *args, **kwds):
ScipyTestCase.__init__(self, *args, **kwds)
self.setUp()
def setUp (self):
x=scipy.array([1.,1.,1.,-2., pi/2.0, 4., 5., -10., 10., 1., 2., 3.])
y=scipy.array([5.,0.,3., 2., -1., -4., 0., -10., 10., 1., 0., 3.])
a10 = 10.
m1 = [1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0]
m2 = [0, 0, 1, 0, 0, 1, 1, 0, 0, 0 ,0, 1]
xm = array(x, mask=m1)
ym = array(y, mask=m2)
z = scipy.array([-.5, 0., .5, .8])
zm = array(z, mask=[0,1,0,0])
xf = scipy.where(m1, 1.e+20, x)
s = x.shape
xm.set_fill_value(1.e+20)
self.d = (x, y, a10, m1, m2, xm, ym, z, zm, xf, s)
def check_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
self.failIf(isMaskedArray(x))
self.failUnless(isMaskedArray(xm))
self.assertEqual(shape(xm), s)
self.assertEqual(xm.shape, s)
self.assertEqual(xm.dtype, x.dtype)
self.assertEqual(xm.dtypechar, x.dtypechar)
self.assertEqual( xm.size , reduce(lambda x,y:x*y, s))
self.assertEqual(count(xm) , len(m1) - reduce(lambda x,y:x+y, m1))
self.failUnless(eq(xm, xf))
self.failUnless(eq(filled(xm, 1.e20), xf))
self.failUnless(eq(x, xm))
def check_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
self.failIf(isMaskedArray(x))
self.failUnless(isMaskedArray(xm))
self.assertEqual(shape(xm), s)
self.assertEqual(xm.shape, s)
self.assertEqual( xm.size , reduce(lambda x,y:x*y, s))
self.assertEqual( count(xm) , len(m1) - reduce(lambda x,y:x+y, m1))
self.failUnless(eq(xm, xf))
self.failUnless(eq(filled(xm, 1.e20), xf))
self.failUnless(eq(x, xm))
self.setUp()
def check_testArithmetic (self):
"Test of basic arithmetic."
(x, y, a10, m1, m2, xm, ym, z, zm, xf, s) = self.d
a2d = array([[1,2],[0,4]])
a2dm = masked_array(a2d, [[0,0],[1,0]])
self.failUnless(eq (a2d * a2d, a2d * a2dm))
self.failUnless(eq (a2d + a2d, a2d + a2dm))
self.failUnless(eq (a2d - a2d, a2d - a2dm))
for s in [(12,), (4,3), (2,6)]:
x = x.reshape(s)
y = y.reshape(s)
xm = xm.reshape(s)
ym = ym.reshape(s)
xf = xf.reshape(s)
self.failUnless(eq(-x, -xm))
self.failUnless(eq(x + y, xm + ym))
self.failUnless(eq(x - y, xm - ym))
self.failUnless(eq(x * y, xm * ym))
self.failUnless(eq(x / y, xm / ym))
self.failUnless(eq(a10 + y, a10 + ym))
self.failUnless(eq(a10 - y, a10 - ym))
self.failUnless(eq(a10 * y, a10 * ym))
self.failUnless(eq(a10 / y, a10 / ym))
self.failUnless(eq(x + a10, xm + a10))
self.failUnless(eq(x - a10, xm - a10))
self.failUnless(eq(x * a10, xm * a10))
self.failUnless(eq(x / a10, xm / a10))
self.failUnless(eq(x**2, xm**2))
self.failUnless(eq(abs(x)**2.5, abs(xm) **2.5))
self.failUnless(eq(x**y, xm**ym))
self.failUnless(eq(scipy.add(x,y), add(xm, ym)))
self.failUnless(eq(scipy.subtract(x,y), subtract(xm, ym)))
self.failUnless(eq(scipy.multiply(x,y), multiply(xm, ym)))
self.failUnless(eq(scipy.divide(x,y), divide(xm, ym)))
def check_testUfuncs1 (self):
"Test various functions such as sin, cos."
(x, y, a10, m1, m2, xm, ym, z, zm, xf, s) = self.d
self.failUnless (eq(scipy.cos(x), cos(xm)))
self.failUnless (eq(scipy.cosh(x), cosh(xm)))
self.failUnless (eq(scipy.sin(x), sin(xm)))
self.failUnless (eq(scipy.sinh(x), sinh(xm)))
self.failUnless (eq(scipy.tan(x), tan(xm)))
self.failUnless (eq(scipy.tanh(x), tanh(xm)))
self.failUnless (eq(scipy.sqrt(abs(x)), sqrt(xm)))
self.failUnless (eq(scipy.log(abs(x)), log(xm)))
self.failUnless (eq(scipy.log10(abs(x)), log10(xm)))
self.failUnless (eq(scipy.exp(x), exp(xm)))
self.failUnless (eq(scipy.arcsin(z), arcsin(zm)))
self.failUnless (eq(scipy.arccos(z), arccos(zm)))
self.failUnless (eq(scipy.arctan(z), arctan(zm)))
self.failUnless (eq(scipy.arctan2(x, y), arctan2(xm, ym)))
self.failUnless (eq(scipy.absolute(x), absolute(xm)))
self.failUnless (eq(scipy.equal(x,y), equal(xm, ym)))
self.failUnless (eq(scipy.not_equal(x,y), not_equal(xm, ym)))
self.failUnless (eq(scipy.less(x,y), less(xm, ym)))
self.failUnless (eq(scipy.greater(x,y), greater(xm, ym)))
self.failUnless (eq(scipy.less_equal(x,y), less_equal(xm, ym)))
self.failUnless (eq(scipy.greater_equal(x,y), greater_equal(xm, ym)))
self.failUnless (eq(scipy.conjugate(x), conjugate(xm)))
self.failUnless (eq(scipy.concatenate((x,y)), concatenate((xm,ym))))
self.failUnless (eq(scipy.concatenate((x,y)), concatenate((x,y))))
self.failUnless (eq(scipy.concatenate((x,y)), concatenate((xm,y))))
self.failUnless (eq(scipy.concatenate((x,y,x)), concatenate((x,ym,x))))
def check_xtestCount (self):
"Test count"
ott = array([0.,1.,2.,3.], mask=[1,0,0,0])
self.failUnless( isinstance(count(ott), types.IntType))
self.assertEqual(3, count(ott))
self.assertEqual(1, count(1))
self.failUnless (eq(0, array(1,mask=[1])))
ott=ott.reshape((2,2))
assert isMaskedArray(count(ott,0))
assert isinstance(count(ott), types.IntType)
self.failUnless (eq(3, count(ott)))
assert getmask(count(ott,0)) is None
self.failUnless (eq([1,2],count(ott,0)))
def check_testMinMax (self):
"Test minimum and maximum."
(x, y, a10, m1, m2, xm, ym, z, zm, xf, s) = self.d
xr = scipy.ravel(x) #max doesn't work if shaped
xmr = ravel(xm)
self.failUnless (eq(max(xr), maximum(xmr))) #true because of careful selection of data
self.failUnless (eq(min(xr), minimum(xmr))) #true because of careful selection of data
def check_testAddSumProd (self):
"Test add, sum, product."
(x, y, a10, m1, m2, xm, ym, z, zm, xf, s) = self.d
self.failUnless (eq(scipy.add.reduce(x), add.reduce(x)))
self.failUnless (eq(scipy.add.accumulate(x), add.accumulate(x)))
self.failUnless (eq(4, sum(array(4))))
self.failUnless (eq(4, sum(array(4), axis=0)))
self.failUnless (eq(scipy.sum(x), sum(x)))
self.failUnless (eq(scipy.sum(filled(xm,0)), sum(xm)))
self.failUnless (eq(scipy.sum(x,0), sum(x,0)))
self.failUnless (eq(scipy.product(x), product(x)))
self.failUnless (eq(scipy.product(x,0), product(x,0)))
self.failUnless (eq(scipy.product(filled(xm,1)), product(xm)))
if len(s) > 1:
self.failUnless (eq(scipy.concatenate((x,y),1), concatenate((xm,ym),1)))
self.failUnless (eq(scipy.add.reduce(x,1), add.reduce(x,1)))
self.failUnless (eq(scipy.sum(x,1), sum(x,1)))
self.failUnless (eq(scipy.product(x,1), product(x,1)))
def check_testCI(self):
"Test of conversions and indexing"
x1 = scipy.array([1,2,4,3])
x2 = array(x1, mask = [1,0,0,0])
x3 = array(x1, mask = [0,1,0,1])
x4 = array(x1)
# test conversion to strings
junk, garbage = str(x2), repr(x2)
assert eq(scipy.sort(x1),sort(x2, fill_value=0))
# tests of indexing
assert type(x2[1]) is type(x1[1])
assert x1[1] == x2[1]
assert x2[0] is masked
assert eq(x1[2],x2[2])
assert eq(x1[2:5],x2[2:5])
assert eq(x1[:],x2[:])
assert eq(x1[1:], x3[1:])
x1[2]=9
x2[2]=9
assert eq(x1,x2)
x1[1:3] = 99
x2[1:3] = 99
assert eq(x1,x2)
x2[1] = masked
assert eq(x1,x2)
x2[1:3]=masked
assert eq(x1,x2)
x2[:] = x1
x2[1] = masked
assert allequal(getmask(x2),array([0,1,0,0]))
x3[:] = masked_array([1,2,3,4],[0,1,1,0])
assert allequal(getmask(x3), array([0,1,1,0]))
x4[:] = masked_array([1,2,3,4],[0,1,1,0])
assert allequal(getmask(x4), array([0,1,1,0]))
assert allequal(x4, array([1,2,3,4]))
x1 = scipy.arange(5)*1.0
x2 = masked_values(x1, 3.0)
assert eq(x1,x2)
assert allequal(array([0,0,0,1,0],MaskType), x2.mask)
assert eq(3.0, x2.fill_value())
x1 = array([1,'hello',2,3],object)
x2 = scipy.array([1,'hello',2,3],object)
s1 = x1[1].item()
s2 = x2[1].item()
self.assertEqual(type(s2), str)
self.assertEqual(type(s1), str)
self.assertEqual(s1, s2)
assert x1[1:1].shape == (0,)
def check_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)
self.failUnless(m is m2)
m3 = make_mask(m, copy=1)
self.failUnless(m is not m3)
x1 = scipy.arange(5)
y1 = array(x1, mask=m)
self.failUnless( y1.raw_data() is not x1)
self.failUnless( allequal(x1,y1.raw_data()))
self.failUnless( y1.mask is m)
y1a = array(y1, copy=0)
self.failUnless( y1a.raw_data() is y1.raw_data())
self.failUnless( y1a.mask is y1.mask)
y2 = array(x1, mask=m, copy=0)
self.failUnless( y2.raw_data() is x1)
self.failUnless( y2.mask is m)
self.failUnless( y2[2] is masked)
y2[2]=9
self.failUnless( y2[2] is not masked)
self.failUnless( y2.mask is not m)
self.failUnless( allequal(y2.mask, 0))
y3 = array(x1*1.0, mask=m)
self.failUnless(filled(y3).dtype is (x1*1.0).dtype)
x4 = arange(4)
x4[2] = masked
y4 = resize(x4, (8,))
self.failUnless( eq(concatenate([x4,x4]), y4))
self.failUnless( eq(getmask(y4),[0,0,1,0,0,0,1,0]))
y5 = repeat(x4, (2,2,2,2))
self.failUnless( eq(y5, [0,0,1,1,2,2,3,3]))
y6 = repeat(x4, 2)
self.failUnless( eq(y5, y6))
def check_testPut(self):
"Test of put"
d = arange(5)
n = [0,0,0,1,1]
m = make_mask(n)
x = array(d, mask = m)
self.failUnless( x[3] is masked)
self.failUnless( x[4] is masked)
x[[1,4]] = [10,40]
self.failUnless( x.mask is not m)
self.failUnless( x[3] is masked)
self.failUnless( x[4] is not masked)
self.failUnless( eq(x, [0,10,2,-1,40]))
x = array(d, mask = m)
x.put([-1,100,200])
self.failUnless( eq(x, [-1,100,200,0,0]))
self.failUnless( x[3] is masked)
self.failUnless( x[4] is masked)
x = array(d, mask = m)
x.putmask([30,40])
self.failUnless( eq(x, [0,1,2,30,40]))
self.failUnless( x.mask is None)
x = array(d, mask = m)
y = x.compressed()
z = array(x, mask = m)
z.put(y)
assert eq (x, z)
def check_testMaPut(self):
(x, y, a10, m1, m2, xm, ym, z, zm, xf, s) = self.d
m = [1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1]
i = scipy.nonzero(m)
putmask(xm, m, z)
assert take(xm, i) == z
put(ym, i, zm)
assert take(ym, i) == zm
def check_testOddFeatures(self):
"Test of other odd features"
x = arange(20); x=x.reshape(4,5)
x.flat[5] = 12
assert x[1,0] == 12
z = x + 10j * x
assert eq(z.real, x)
assert eq(z.imag, 10*x)
assert eq((z*conjugate(z)).real, 101*x*x)
z.imag[...] = 0.0
x = arange(10)
x[3] = masked
assert str(x[3]) == str(masked)
c = x >= 8
assert count(where(c,masked,masked)) == 0
assert shape(where(c,masked,masked)) == c.shape
z = where(c , x, masked)
assert z.dtype is x.dtype
assert z[3] is masked
assert z[4] is masked
assert z[7] is masked
assert z[8] is not masked
assert z[9] is not masked
assert eq(x,z)
z = where(c , masked, x)
assert z.dtype is x.dtype
assert z[3] is masked
assert z[4] is not masked
assert z[7] is not masked
assert z[8] is masked
assert z[9] is masked
z = masked_where(c, x)
assert z.dtype is x.dtype
assert z[3] is masked
assert z[4] is not masked
assert z[7] is not masked
assert z[8] is masked
assert z[9] is masked
assert eq(x,z)
x = array([1.,2.,3.,4.,5.])
c = array([1,1,1,0,0])
x[2] = masked
z = where(c, x, -x)
assert eq(z, [1.,2.,0., -4., -5])
c[0] = masked
z = where(c, x, -x)
assert eq(z, [1.,2.,0., -4., -5])
assert z[0] is masked
assert z[1] is not masked
assert z[2] is masked
assert eq(masked_where(greater(x, 2), x), masked_greater(x,2))
assert eq(masked_where(greater_equal(x, 2), x), masked_greater_equal(x,2))
assert eq(masked_where(less(x, 2), x), masked_less(x,2))
assert eq(masked_where(less_equal(x, 2), x), masked_less_equal(x,2))
assert eq(masked_where(not_equal(x, 2), x), masked_not_equal(x,2))
assert eq(masked_where(equal(x, 2), x), masked_equal(x,2))
assert eq(masked_where(not_equal(x,2), x), masked_not_equal(x,2))
assert eq(masked_inside(range(5), 1, 3), [0, 199, 199, 199, 4])
assert eq(masked_outside(range(5), 1, 3),[199,1,2,3,199])
assert eq(masked_inside(array(range(5), mask=[1,0,0,0,0]), 1, 3).mask, [1,1,1,1,0])
assert eq(masked_outside(array(range(5), mask=[0,1,0,0,0]), 1, 3).mask, [1,1,0,0,1])
assert eq(masked_equal(array(range(5), mask=[1,0,0,0,0]), 2).mask, [1,0,1,0,0])
assert eq(masked_not_equal(array([2,2,1,2,1], mask=[1,0,0,0,0]), 2).mask, [1,0,1,0,1])
assert eq(masked_where([1,1,0,0,0], [1,2,3,4,5]), [99,99,3,4,5])
atest = ones((10,10,10), dtype=float32)
btest = zeros(atest.shape, MaskType)
ctest = masked_where(btest,atest)
assert eq(atest,ctest)
z = choose(c, (-x, x))
assert eq(z, [1.,2.,0., -4., -5])
assert z[0] is masked
assert z[1] is not masked
assert z[2] is masked
x = arange(6)
x[5] = masked
y = arange(6)*10
y[2]= masked
c = array([1,1,1,0,0,0], mask=[1,0,0,0,0,0])
cm = c.filled(1)
z = where(c,x,y)
zm = where(cm,x,y)
assert eq(z, zm)
assert getmask(zm) is None
assert eq(zm, [0,1,2,30,40,50])
z = where(c, masked, 1)
assert eq(z, [99,99,99,1,1,1])
z = where(c, 1, masked)
assert eq(z, [99, 1, 1, 99, 99, 99])
def check_testMinMax(self):
"Test of minumum, maximum."
assert eq(minimum([1,2,3],[4,0,9]), [1,0,3])
assert eq(maximum([1,2,3],[4,0,9]), [4,2,9])
x = arange(5)
y = arange(5) - 2
x[3] = masked
y[0] = masked
assert eq(minimum(x,y), where(less(x,y), x, y))
assert eq(maximum(x,y), where(greater(x,y), x, y))
assert minimum(x) == 0
assert maximum(x) == 4
def check_testTakeTransposeInnerOuter(self):
"Test of take, transpose, inner, outer products"
x = arange(24)
y = scipy.arange(24)
x[5:6] = masked
x=x.reshape(2,3,4)
y=y.reshape(2,3,4)
assert eq(scipy.transpose(y,(2,0,1)), transpose(x,(2,0,1)))
assert eq(scipy.take(y, (2,0,1), 1), take(x, (2,0,1), 1))
assert eq(scipy.innerproduct(filled(x,0),filled(y,0)),
innerproduct(x, y))
assert eq(scipy.outerproduct(filled(x,0),filled(y,0)),
outerproduct(x, y))
y = array(['abc', 1, 'def', 2, 3], object)
y[2] = masked
t = take(y,[0,3,4])
assert t[0].item() == 'abc'
assert t[1].item() == 2
assert t[2].item() == 3
def check_testInplace(self):
"""Test of inplace operations and rich comparisons"""
y = arange(10)
x = arange(10)
xm = arange(10)
xm[2] = masked
x += 1
assert eq(x, y+1)
xm += 1
assert eq(x, y+1)
x = arange(10)
xm = arange(10)
xm[2] = masked
x -= 1
assert eq(x, y-1)
xm -= 1
assert eq(xm, y-1)
x = arange(10)*1.0
xm = arange(10)*1.0
xm[2] = masked
x *= 2.0
assert eq(x, y*2)
xm *= 2.0
assert eq(xm, y*2)
x = arange(10)*2
xm = arange(10)
xm[2] = masked
x /= 2
assert eq(x, y)
xm /= 2
assert eq(x, y)
x = arange(10)*1.0
xm = arange(10)*1.0
xm[2] = masked
x /= 2.0
assert eq(x, y/2.0)
xm /= arange(10)
assert eq(xm, ones((10,)))
x = arange(10).astype(float32)
xm = arange(10)
xm[2] = masked
id1 = id(x.raw_data())
x += 1.
assert id1 == id(x.raw_data())
assert eq(x, y+1.)
def check_testPickle(self):
"Test of pickling"
x = arange(12)
x[4:10:2] = masked
x=x.reshape(4,3)
f = open('test9.pik','wb')
import pickle
pickle.dump(x, f)
f.close()
f = open('test9.pik', 'rb')
y = pickle.load(f)
assert eq(x,y)
def check_testMasked(self):
"Test of masked element"
xx=arange(6)
xx[1] = masked
self.failUnless(xx[1] is masked)
self.failUnlessRaises(Exception, lambda x,y: x+y, masked, masked)
self.failUnlessRaises(Exception, lambda x,y: x+y, masked, 2)
self.failUnlessRaises(Exception, lambda x,y: x+y, masked, xx)
self.failUnlessRaises(Exception, lambda x,y: x+y, xx, masked)
def check_testAverage1(self):
"Test of average."
ott = array([0.,1.,2.,3.], mask=[1,0,0,0])
self.failUnless(eq(2.0, average(ott)))
self.failUnless(eq(2.0, average(ott, weights=[1., 1., 2., 1.])))
result, wts = average(ott, weights=[1.,1.,2.,1.], returned=1)
self.failUnless(eq(2.0, result))
self.failUnless(wts == 4.0)
ott[:] = masked
self.failUnless(average(ott) is masked)
ott = array([0.,1.,2.,3.], mask=[1,0,0,0])
ott=ott.reshape(2,2)
ott[:,1] = masked
self.failUnless(eq(average(ott), [2.0, 0.0]))
self.failUnless(average(ott,axis=1)[0] is masked)
self.failUnless(eq([2.,0.], average(ott)))
result, wts = average(ott, returned=1)
self.failUnless(eq(wts, [1., 0.]))
def check_testAverage2(self):
"More tests of average."
w1 = [0,1,1,1,1,0]
w2 = [[0,1,1,1,1,0],[1,0,0,0,0,1]]
x=arange(6)
self.failUnless(allclose(average(x), 2.5))
self.failUnless(allclose(average(x, weights=w1), 2.5))
y=array([arange(6), 2.0*arange(6)])
self.failUnless(allclose(average(y, None), scipy.add.reduce(scipy.arange(6))*3./12.))
self.failUnless(allclose(average(y, axis=0), scipy.arange(6) * 3./2.))
self.failUnless(allclose(average(y, axis=1), [average(x), average(x) * 2.0]))
self.failUnless(allclose(average(y, None, weights=w2), 20./6.))
self.failUnless(allclose(average(y, axis=0, weights=w2), [0.,1.,2.,3.,4.,10.]))
self.failUnless(allclose(average(y, axis=1), [average(x), average(x) * 2.0]))
m1 = zeros(6)
m2 = [0,0,1,1,0,0]
m3 = [[0,0,1,1,0,0],[0,1,1,1,1,0]]
m4 = ones(6)
m5 = [0, 1, 1, 1, 1, 1]
self.failUnless(allclose(average(masked_array(x, m1)), 2.5))
self.failUnless(allclose(average(masked_array(x, m2)), 2.5))
self.failUnless(average(masked_array(x, m4)) is masked)
self.assertEqual(average(masked_array(x, m5)), 0.0)
self.assertEqual(count(average(masked_array(x, m4))), 0)
z = masked_array(y, m3)
self.failUnless(allclose(average(z, None), 20./6.))
self.failUnless(allclose(average(z, axis=0), [0.,1.,99.,99.,4.0, 7.5]))
self.failUnless(allclose(average(z, axis=1), [2.5, 5.0]))
self.failUnless(allclose( average(z,weights=w2), [0.,1., 99., 99., 4.0, 10.0]))
a = arange(6)
b = arange(6) * 3
r1, w1 = average([[a,b],[b,a]], axis=1, returned=1)
self.assertEqual(shape(r1) , shape(w1))
self.assertEqual(r1.shape , w1.shape)
r2, w2 = average(ones((2,2,3)), axis=0, weights=[3,1], returned=1)
self.assertEqual(shape(w2) , shape(r2))
r2, w2 = average(ones((2,2,3)), returned=1)
self.assertEqual(shape(w2) , shape(r2))
r2, w2 = average(ones((2,2,3)), weights=ones((2,2,3)), returned=1)
self.failUnless(shape(w2) == shape(r2))
a2d = array([[1,2],[0,4]], float)
a2dm = masked_array(a2d, [[0,0],[1,0]])
a2da = average(a2d)
self.failUnless(eq (a2da, [0.5, 3.0]))
a2dma = average(a2dm)
self.failUnless(eq( a2dma, [1.0, 3.0]))
a2dma = average(a2dm, axis=None)
self.failUnless(eq(a2dma, 7./3.))
a2dma = average(a2dm, axis=1)
self.failUnless(eq(a2dma, [1.5, 4.0]))
def check_testToPython(self):
self.assertEqual(1, int(array(1)))
self.assertEqual(1.0, float(array(1)))
self.assertEqual(1, int(array([[[1]]])))
self.assertEqual(1.0, float(array([[1]])))
self.failUnlessRaises(ValueError, float, array([1,1]))
self.failUnlessRaises(MAError, float, array([1],mask=[1]))
def timingTest():
for f in [testf, testinplace]:
for n in [1000,10000,50000]:
t = testta(n, f)
t1 = testtb(n, f)
t2 = testtc(n, f)
print f.test_name
print """\
n = %7d
scipy time (ms) %6.1f
MA maskless ratio %6.1f
MA masked ratio %6.1f
""" % (n, t*1000.0, t1/t, t2/t)
def testta(n, f):
x=scipy.arange(n) + 1.0
tn0 = time.time()
z = f(x)
return time.time() - tn0
def testtb(n, f):
x=arange(n) + 1.0
tn0 = time.time()
z = f(x)
return time.time() - tn0
def testtc(n, f):
x=arange(n) + 1.0
x[0] = masked
tn0 = time.time()
z = f(x)
return time.time() - tn0
def testf(x):
for i in range(25):
y = x **2 + 2.0 * x - 1.0
w = x **2 + 1.0
z = (y / w) ** 2
return z
testf.test_name = 'Simple arithmetic'
def testinplace(x):
for i in range(25):
y = x**2
y += 2.0*x
y -= 1.0
y /= x
return y
testinplace.test_name = 'Inplace operations'
if __name__ == "__main__":
ScipyTest('scipy.base.ma').run()
#timingTest()
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