本文整理汇总了Python中spartan.util.Assert类的典型用法代码示例。如果您正苦于以下问题：Python Assert类的具体用法？Python Assert怎么用？Python Assert使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了Assert类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_slice_reduce
def test_slice_reduce(self):
x = expr.arange((TEST_SIZE, TEST_SIZE, TEST_SIZE), dtype=np.int)
nx = np.arange(TEST_SIZE * TEST_SIZE * TEST_SIZE, dtype=np.int).reshape((TEST_SIZE, TEST_SIZE, TEST_SIZE))
y = x[:, :, 0].sum()
val = y.glom()
Assert.all_eq(val, nx[:, :, 0].sum())示例2: test_reshape8
def test_reshape8(self):
t1 = expr.sparse_diagonal((137, 113))
t2 = expr.sparse_diagonal((113, 137))
a = expr.reshape(t1, (113, 137))
b = expr.reshape(t2, (137, 113))
Assert.all_eq(a.glom().todense(), sp.eye(137, 113).tolil().reshape((113, 137)).todense())
Assert.all_eq(b.glom().todense(), sp.eye(113, 137).tolil().reshape((137, 113)).todense())示例3: test_reshape6
def test_reshape6(self):
a = expr.arange((12319, ))
b = expr.reshape(a, (127, 97))
c = expr.reshape(b, (97, 127))
d = expr.reshape(c, (1, 12319))
e = expr.arange((1, 12319))
Assert.all_eq(d.glom(), e.glom())示例4: test_reshape5
def test_reshape5(self):
a = expr.arange((35511, ))
b = expr.reshape(a, (133, 267))
c = expr.reshape(b, (267, 133))
d = expr.reshape(c, (1, 35511))
e = expr.arange((1, 35511))
Assert.all_eq(d.glom(), e.glom())示例5: test_creation
def test_creation(self):
A = spartan.eye(100, 10)
nA = np.eye(100, 10)
B = spartan.identity(100)
nB = np.identity(100)
Assert.all_eq(A.glom(), nA)
Assert.all_eq(B.glom(), nB)示例6: test_fio_path
def test_fio_path(self):
self.create_path()
t1 = expr.randn(100, 100).evaluate()
expr.save(t1, "fiotest1", self.test_dir2, False)
expr.pickle(t1, "fiotest2", self.test_dir2, False)
Assert.all_eq(t1.glom(), expr.load("fiotest1", self.test_dir2, False).glom())
Assert.all_eq(t1.glom(), expr.unpickle("fiotest2", self.test_dir2, False).glom())示例7: test_transpose3
def test_transpose3(self):
t1 = expr.sparse_diagonal((107, 401)).evaluate()
t2 = expr.sparse_diagonal((401, 107)).evaluate()
a = expr.transpose(t1)
b = expr.transpose(t2)
Assert.all_eq(a.glom().todense(), sp.eye(107, 401).transpose().todense())
Assert.all_eq(b.glom().todense(), sp.eye(401, 107).transpose().todense())示例8: test_sum_2d
def test_sum_2d(self):
x = expr.arange((TEST_SIZE, TEST_SIZE), dtype=np.int)
nx = np.arange(TEST_SIZE * TEST_SIZE, dtype=np.int).reshape((TEST_SIZE, TEST_SIZE))
for axis in [None, 0, 1]:
y = x.sum(axis)
val = y.glom()
Assert.all_eq(val, nx.sum(axis))示例9: _test_optimization_ordered
def _test_optimization_ordered(self):
na = np.random.rand(1000, 1000)
nb = np.random.rand(1000, 1000)
a = expr.from_numpy(na)
b = expr.from_numpy(nb)
c = a - b
d = a + c
f = c[200:900, 200:900]
g = d[200:900, 200:900]
h = f - g
i = f + h
j = h[100:500, 100:500]
k = i[100:500, 100:500]
l = expr.dot(j, k)
m = j + k
n = k - l
o = n - m
q = o[100:200, 100:200]
nc = na - nb
nd = na + nc
nf = nc[200:900, 200:900]
ng = nd[200:900, 200:900]
nh = nf - ng
ni = nf + nh
nj = nh[100:500, 100:500]
nk = ni[100:500, 100:500]
nl = np.dot(nj, nk)
nm = nj + nk
nn = nk - nl
no = nn - nm
nq = no[100:200, 100:200]
Assert.all_eq(nq, q.optimized().glom(), tolerance = 1e-10)示例10: test_optimization_map_with_location
def test_optimization_map_with_location(self):
FLAGS.opt_parakeet_gen = 1
def mapper(tile, ex):
return tile + 10
a = expr.map_with_location(expr.ones((5, 5)), mapper) + expr.ones((5, 5))
Assert.isinstance(a.optimized().op, expr.local.ParakeetExpr)示例11: test_reshape3
def test_reshape3(self):
a = expr.arange((100, 100))
b = expr.reshape(a, (10000,))
c = expr.reshape(b, (10000, 1))
d = expr.reshape(c, (1, 10000))
e = expr.arange((1, 10000))
Assert.all_eq(d.glom(), e.glom())示例12: test_argmax_2d
def test_argmax_2d(self):
for axis in [1]: #[None, 0, 1]:
x = expr.arange((TEST_SIZE, TEST_SIZE), dtype=np.int)
nx = np.arange(TEST_SIZE * TEST_SIZE, dtype=np.int).reshape((TEST_SIZE, TEST_SIZE))
y = x.argmax(axis=axis)
val = expr.glom(y)
Assert.all_eq(val, nx.argmax(axis=axis))示例13: test_assign_array_like
def test_assign_array_like(self):
a = np.zeros((20, 10))
b = np.ones((10, ))
region = np.s_[10, ]
sp_a = assign(from_numpy(a), region, b).glom()
a[region] = b
Assert.all_eq(sp_a, a)示例14: test_slices_from_slices
def test_slices_from_slices(self):
slices1 = (slice(0, 50), slice(0, 50))
slices2 = (slice(0, 50), slice(50, 100))
slices3 = (slice(50, 100), slice(0, 50))
slices4 = (slice(50, 100), slice(50, 100))
t1 = expr.randn(100, 100)
t2 = expr.randn(100, 100)
t3 = expr.write(t2, slices1, t1, slices1)
t4 = expr.write(t3, slices2, t1, slices2)
t5 = expr.write(t4, slices3, t1, slices3)
t6 = expr.write(t5, slices4, t1, slices4)
Assert.all_eq(t1.glom(), t6.glom())
dst = np.arange(0, 2500).reshape(50, 50)
t11 = expr.write(t1, slices1, dst, slices1)
t12 = expr.write(t11, slices2, dst, slices1)
t13 = expr.write(t12, slices3, dst, slices1)
t14 = expr.write(t13, slices4, dst, slices1)
tmp = expr.write(expr.randn(100, 100), slices4, dst, slices1)
t21 = expr.write(t2, slices1, tmp, slices4)
t22 = expr.write(t21, slices2, tmp, slices4)
t23 = expr.write(t22, slices3, tmp, slices4)
t24 = expr.write(t23, slices4, tmp, slices4)
Assert.all_eq(t14.glom(), t24.glom())示例15: test_slice_shuffle
def test_slice_shuffle(self):
x = expr.arange((TEST_SIZE, TEST_SIZE))
z = x[5:8, 5:8]
z = expr.shuffle(z, add_one_extent)
val = z.force()
nx = np.arange(TEST_SIZE*TEST_SIZE).reshape(TEST_SIZE, TEST_SIZE)
Assert.all_eq(val.glom(), nx[5:8, 5:8] + 1)