本文整理汇总了Python中pyNN.parameters.LazyArray类的典型用法代码示例。如果您正苦于以下问题：Python LazyArray类的具体用法？Python LazyArray怎么用？Python LazyArray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LazyArray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_columnwise_iteration_with_structured_array_and_mask
def test_columnwise_iteration_with_structured_array_and_mask():
input = np.arange(12).reshape((4, 3))
m = LazyArray(input, shape=(4, 3)) # 4 rows, 3 columns
mask = np.array([False, True, True])
cols = [col for col in m.by_column(mask=mask)]
assert_array_equal(cols[0], input[:, 1])
assert_array_equal(cols[1], input[:, 2])示例2: test_columnwise_iteration_with_function
def test_columnwise_iteration_with_function():
input = lambda i, j: 2 * i + j
m = LazyArray(input, shape=(4, 3))
cols = [col for col in m.by_column()]
assert_array_equal(cols[0], np.array([0, 2, 4, 6]))
assert_array_equal(cols[1], np.array([1, 3, 5, 7]))
assert_array_equal(cols[2], np.array([2, 4, 6, 8]))示例3: test_multiple_operations_with_structured_array
def test_multiple_operations_with_structured_array():
input = np.arange(12).reshape((4, 3))
m0 = LazyArray(input, shape=(4, 3))
m1 = (m0 + 2) < 5
m2 = (m0 < 5) + 2
assert_array_equal(m1.evaluate(simplify=True), (input + 2) < 5)
assert_array_equal(m2.evaluate(simplify=True), (input < 5) + 2)
assert_array_equal(m0.evaluate(simplify=True), input)示例4: test_evaluate_with_functional_array
def test_evaluate_with_functional_array():
input = lambda i,j: 2*i + j
m = LazyArray(input, shape=(4,3))
assert_array_equal(m.evaluate(),
np.array([[0, 1, 2],
[2, 3, 4],
[4, 5, 6],
[6, 7, 8]]))示例5: test_columnwise_iteration_with_random_array_parallel_safe_no_mask
def test_columnwise_iteration_with_random_array_parallel_safe_no_mask():
random.mpi_rank=0; random.num_processes=2
input = random.RandomDistribution(rng=MockRNG(parallel_safe=True))
copy_input = random.RandomDistribution(rng=MockRNG(parallel_safe=True))
m = LazyArray(input, shape=(4,3))
cols = [col for col in m.by_column()]
assert_array_equal(cols[0], copy_input.next(4, mask_local=False))
assert_array_equal(cols[1], copy_input.next(4, mask_local=False))
assert_array_equal(cols[2], copy_input.next(4, mask_local=False))示例6: test_columnwise_iteration_with_random_array_parallel_safe_with_mask
def test_columnwise_iteration_with_random_array_parallel_safe_with_mask():
random.mpi_rank=0; random.num_processes=2
input = random.RandomDistribution(rng=MockRNG(parallel_safe=True))
copy_input = random.RandomDistribution(rng=MockRNG(parallel_safe=True))
m = LazyArray(input, shape=(4,3))
mask = np.array([False, False, True])
cols = [col for col in m.by_column(mask=mask)]
assert_equal(len(cols), 1)
assert_array_almost_equal(cols[0], copy_input.next(12, mask_local=False)[8:], 15)示例7: test_columnwise_iteration_with_random_array_parallel_safe_with_mask
def test_columnwise_iteration_with_random_array_parallel_safe_with_mask():
orig_get_mpi_config = random.get_mpi_config
random.get_mpi_config = lambda: (0, 2)
input = random.RandomDistribution("uniform", (0, 1), rng=MockRNG(parallel_safe=True))
copy_input = random.RandomDistribution("gamma", (2, 3), rng=MockRNG(parallel_safe=True))
m = LazyArray(input, shape=(4, 3))
mask = np.array([False, False, True])
cols = [col for col in m.by_column(mask=mask)]
assert_equal(len(cols), 1)
assert_array_almost_equal(cols[0], copy_input.next(12, mask_local=False)[8:], 15)
random.get_mpi_config = orig_get_mpi_config示例8: test_columnwise_iteration_with_random_array_parallel_safe_no_mask
def test_columnwise_iteration_with_random_array_parallel_safe_no_mask():
orig_get_mpi_config = random.get_mpi_config
random.get_mpi_config = lambda: (0, 2)
input = random.RandomDistribution("uniform", (0, 1), rng=MockRNG(parallel_safe=True))
copy_input = random.RandomDistribution("normal", (0, 1), rng=MockRNG(parallel_safe=True))
m = LazyArray(input, shape=(4, 3))
cols = [col for col in m.by_column()]
assert_array_equal(cols[0], copy_input.next(4, mask_local=False))
assert_array_equal(cols[1], copy_input.next(4, mask_local=False))
assert_array_equal(cols[2], copy_input.next(4, mask_local=False))
random.get_mpi_config = orig_get_mpi_config示例9: test_columnwise_iteration_with_random_array_parallel_safe_no_mask
def test_columnwise_iteration_with_random_array_parallel_safe_no_mask():
orig_get_mpi_config = random.get_mpi_config
# first, with a single MPI node
random.get_mpi_config = lambda: (0, 2)
input = random.RandomDistribution('uniform', (0, 1), rng=MockRNG(parallel_safe=True))
m = LazyArray(input, shape=(4, 3))
cols_np1 = [col for col in m.by_column()]
# now, on one node of two
random.get_mpi_config = lambda: (1, 2)
input = random.RandomDistribution('uniform', (0, 1), rng=MockRNG(parallel_safe=True))
m = LazyArray(input, shape=(4, 3))
cols_np2_1 = [col for col in m.by_column()]
for i in range(3):
assert_array_equal(cols_np1[i], cols_np2_1[i])
random.get_mpi_config = orig_get_mpi_config示例10: test_columnwise_iteration_with_random_array_parallel_safe_with_mask
def test_columnwise_iteration_with_random_array_parallel_safe_with_mask():
orig_get_mpi_config = random.get_mpi_config
mask = np.array([False, False, True])
# first, with a single MPI node
random.get_mpi_config = lambda: (0, 2)
input = random.RandomDistribution('uniform', (0, 1), rng=MockRNG(parallel_safe=True))
m = LazyArray(input, shape=(4, 3))
cols_np1 = [col for col in m.by_column(mask=mask)]
# now, on one node of two
random.get_mpi_config = lambda: (0, 2)
input = random.RandomDistribution('uniform', (0, 1), rng=MockRNG(parallel_safe=True))
m = LazyArray(input, shape=(4, 3))
cols_np2_0 = [col for col in m.by_column(mask=mask)]
# now, on the other node of two
random.get_mpi_config = lambda: (1, 2)
input = random.RandomDistribution('uniform', (0, 1), rng=MockRNG(parallel_safe=True))
m = LazyArray(input, shape=(4, 3))
cols_np2_1 = [col for col in m.by_column(mask=mask)]
assert_equal(len(cols_np1), 1)
assert_equal(len(cols_np2_0), 1)
assert_equal(len(cols_np2_1), 1)
assert_array_equal(cols_np1[0], cols_np2_0[0])
random.get_mpi_config = orig_get_mpi_config示例11: test_columnwise_iteration_with_structured_array
def test_columnwise_iteration_with_structured_array():
input = np.arange(12).reshape((4, 3))
m = LazyArray(input, shape=(4, 3)) # 4 rows, 3 columns
cols = [col for col in m.by_column()]
assert_array_equal(cols[0], input[:, 0])
assert_array_equal(cols[2], input[:, 2])示例12: test_evaluate_with_structured_array
def test_evaluate_with_structured_array():
input = np.arange(12).reshape((4, 3))
m = LazyArray(input, shape=(4, 3))
assert_array_equal(m.evaluate(), input)示例13: test_setitem_nonexpanded_different_value
def test_setitem_nonexpanded_different_value():
A = LazyArray(3, shape=(5,))
assert A.evaluate(simplify=True) == 3
A[0] = 4
A[4] = 5
assert_array_equal(A.evaluate(simplify=True), np.array([4, 3, 3, 3, 5]))示例14: test_columnwise_iteration_with_flat_array
def test_columnwise_iteration_with_flat_array():
m = LazyArray(5, shape=(4, 3)) # 4 rows, 3 columns
cols = [col for col in m.by_column()]
assert_equal(cols, [5, 5, 5])示例15: test_create_with_array
def test_create_with_array():
A = LazyArray(np.array([1, 2, 3]), shape=(3,))
assert A.shape == (3,)
assert_array_equal(A.evaluate(simplify=True), np.array([1, 2, 3]))