本文整理汇总了Python中pyNN.parameters.LazyArray.evaluate方法的典型用法代码示例。如果您正苦于以下问题：Python LazyArray.evaluate方法的具体用法？Python LazyArray.evaluate怎么用？Python LazyArray.evaluate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pyNN.parameters.LazyArray的用法示例。
在下文中一共展示了LazyArray.evaluate方法的10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_multiple_operations_with_structured_array
# 需要导入模块: from pyNN.parameters import LazyArray [as 别名]
# 或者: from pyNN.parameters.LazyArray import evaluate [as 别名]
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2: test_evaluate_with_functional_array
# 需要导入模块: from pyNN.parameters import LazyArray [as 别名]
# 或者: from pyNN.parameters.LazyArray import evaluate [as 别名]
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3: test_setitem_nonexpanded_different_value
# 需要导入模块: from pyNN.parameters import LazyArray [as 别名]
# 或者: from pyNN.parameters.LazyArray import evaluate [as 别名]
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4: test_setitem_nonexpanded_same_value
# 需要导入模块: from pyNN.parameters import LazyArray [as 别名]
# 或者: from pyNN.parameters.LazyArray import evaluate [as 别名]
def test_setitem_nonexpanded_same_value():
A = LazyArray(3, shape=(5,))
assert A.evaluate(simplify=True) == 3
A[0] = 3
assert A.evaluate(simplify=True) == 3示例5: test_create_with_array
# 需要导入模块: from pyNN.parameters import LazyArray [as 别名]
# 或者: from pyNN.parameters.LazyArray import evaluate [as 别名]
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]))示例6: test_create_with_float
# 需要导入模块: from pyNN.parameters import LazyArray [as 别名]
# 或者: from pyNN.parameters.LazyArray import evaluate [as 别名]
def test_create_with_float():
A = LazyArray(3.0, shape=(5,))
assert A.shape == (5,)
assert A.evaluate(simplify=True) == 3.0示例7: test_lt_with_flat_array
# 需要导入模块: from pyNN.parameters import LazyArray [as 别名]
# 或者: from pyNN.parameters.LazyArray import evaluate [as 别名]
def test_lt_with_flat_array():
m0 = LazyArray(5, shape=(4, 3))
m1 = m0 < 10
assert_equal(m1.evaluate(simplify=True), True)
assert_equal(m0.evaluate(simplify=True), 5)示例8: test_iadd_with_flat_array
# 需要导入模块: from pyNN.parameters import LazyArray [as 别名]
# 或者: from pyNN.parameters.LazyArray import evaluate [as 别名]
def test_iadd_with_flat_array():
m = LazyArray(5, shape=(4, 3))
m += 2
assert_array_equal(m.evaluate(), 7 * np.ones((4, 3)))
assert_equal(m.base_value, 5)
assert_equal(m.evaluate(simplify=True), 7)示例9: test_evaluate_with_structured_array
# 需要导入模块: from pyNN.parameters import LazyArray [as 别名]
# 或者: from pyNN.parameters.LazyArray import evaluate [as 别名]
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10: test_evaluate_with_flat_array
# 需要导入模块: from pyNN.parameters import LazyArray [as 别名]
# 或者: from pyNN.parameters.LazyArray import evaluate [as 别名]
def test_evaluate_with_flat_array():
m = LazyArray(5, shape=(4, 3))
assert_array_equal(m.evaluate(), 5 * np.ones((4, 3)))