本文整理汇总了Python中xray.Variable.reblock方法的典型用法代码示例。如果您正苦于以下问题：Python Variable.reblock方法的具体用法？Python Variable.reblock怎么用？Python Variable.reblock使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类xray.Variable的用法示例。
在下文中一共展示了Variable.reblock方法的1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: TestVariable
# 需要导入模块: from xray import Variable [as 别名]
# 或者: from xray.Variable import reblock [as 别名]
class TestVariable(DaskTestCase):
def assertLazyAnd(self, expected, actual, test):
expected_copy = expected.copy(deep=False)
actual_copy = actual.copy(deep=False)
with dask.set_options(get=dask.get):
test(actual_copy, expected_copy)
var = getattr(actual, 'variable', actual)
self.assertIsInstance(var.data, da.Array)
def assertLazyAndIdentical(self, expected, actual):
self.assertLazyAnd(expected, actual, self.assertVariableIdentical)
def assertLazyAndAllClose(self, expected, actual):
self.assertLazyAnd(expected, actual, self.assertVariableAllClose)
def setUp(self):
self.values = np.random.randn(4, 6)
self.data = da.from_array(self.values, blockshape=(2, 2))
self.eager_var = Variable(('x', 'y'), self.values)
self.lazy_var = Variable(('x', 'y'), self.data)
def test_basics(self):
v = self.lazy_var
self.assertIs(self.data, v.data)
self.assertEqual(self.data.blockdims, v.blockdims)
self.assertArrayEqual(self.values, v)
def test_reblock(self):
reblocked = self.lazy_var.reblock(blockshape={'x': 3})
self.assertEqual(reblocked.blockdims, ((3, 1), (2, 2, 2)))
self.assertLazyAndIdentical(self.eager_var, reblocked)
@unittest.skip('indexing with dask arrays is currently broken: see '
'https://github.com/ContinuumIO/dask/pull/149')
def test_indexing(self):
u = self.eager_var
v = self.lazy_var
self.assertLazyAndIdentical(u[0], v[0])
self.assertLazyAndIdentical(u[:1], v[:1])
self.assertLazyAndIdentical(u[[0, 1], [0, 1, 2]], v[[0, 1], [0, 1, 2]])
with self.assertRaisesRegexp(TypeError, 'stored in a dask array'):
v[:1] = 0
def test_squeeze(self):
u = self.eager_var
v = self.lazy_var
self.assertLazyAndIdentical(u[0].squeeze(), v[0].squeeze())
def test_equals(self):
v = self.lazy_var
self.assertTrue(v.equals(v))
self.assertIsInstance(v.data, da.Array)
self.assertTrue(v.identical(v))
self.assertIsInstance(v.data, da.Array)
def test_transpose(self):
u = self.eager_var
v = self.lazy_var
self.assertLazyAndIdentical(u.T, v.T)
def test_unary_op(self):
u = self.eager_var
v = self.lazy_var
self.assertLazyAndIdentical(-u, -v)
self.assertLazyAndIdentical(abs(u), abs(v))
self.assertLazyAndIdentical(u.round(), v.round())
def test_binary_op(self):
u = self.eager_var
v = self.lazy_var
self.assertLazyAndIdentical(2 * u, 2 * v)
self.assertLazyAndIdentical(u + u, v + v)
self.assertLazyAndIdentical(u[0] + u, v[0] + v)
def test_reduce(self):
u = self.eager_var
v = self.lazy_var
self.assertLazyAndAllClose(u.mean(), v.mean())
self.assertLazyAndAllClose(u.std(), v.std())
self.assertLazyAndAllClose(u.argmax(dim='x'), v.argmax(dim='x'))
with self.assertRaisesRegexp(NotImplementedError, 'dask'):
v.prod()
with self.assertRaisesRegexp(NotImplementedError, 'dask'):
v.median()
def test_missing_values(self):
values = np.array([0, 1, np.nan, 3])
data = da.from_array(values, blockshape=(2,))
eager_var = Variable('x', values)
lazy_var = Variable('x', data)
self.assertLazyAndIdentical(eager_var, lazy_var.fillna(lazy_var))
self.assertLazyAndIdentical(Variable('x', range(4)), lazy_var.fillna(2))
self.assertLazyAndIdentical(eager_var.count(), lazy_var.count())
def test_concat(self):
u = self.eager_var
v = self.lazy_var
self.assertLazyAndIdentical(u, Variable.concat([v[:2], v[2:]], 'x'))
#.........这里部分代码省略.........