Python Tree.add_child方法代碼示例

本文整理匯總了Python中neurom.core.tree.Tree.add_child方法的典型用法代碼示例。如果您正苦於以下問題：Python Tree.add_child方法的具體用法？Python Tree.add_child怎麽用？Python Tree.add_child使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類neurom.core.tree.Tree的用法示例。

在下文中一共展示了Tree.add_child方法的15個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_is_forking_point

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def test_is_forking_point():
    t = Tree()
    t.add_child(Tree())
    t.add_child(Tree())
    nt.ok_(t.is_forking_point())
    t.add_child(Tree())
    nt.ok_(t.is_forking_point())

開發者ID:juanchopanza，項目名稱:NeuroM，代碼行數:9，代碼來源:test_tree.py

示例2: test_add_child

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def test_add_child():
    t = Tree(0)
    t.add_child(Tree(11))
    t.add_child(Tree(22))
    nt.ok_(t.value == 0)
    nt.ok_(len(t.children) == 2)
    nt.ok_([i.value for i in t.children] == [11, 22])

開發者ID:wvangeit，項目名稱:NeuroM，代碼行數:9，代碼來源:test_tree.py

示例3: test_is_forking_point

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def test_is_forking_point():
    t = Tree(0)
    t.add_child(Tree(1))
    t.add_child(Tree(2))
    nt.ok_(is_forking_point(t))
    t.add_child(Tree(3))
    nt.ok_(is_forking_point(t))

開發者ID:wvangeit，項目名稱:NeuroM，代碼行數:9，代碼來源:test_tree.py

示例4: test_is_bifurcation_point_false

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def test_is_bifurcation_point_false():
    t = Tree(0)
    nt.ok_(not is_bifurcation_point(t))
    t.add_child(Tree(1))
    nt.ok_(not is_bifurcation_point(t))
    t.add_child(Tree(2))
    t.add_child(Tree(3))
    nt.ok_(not is_bifurcation_point(t))

開發者ID:wvangeit，項目名稱:NeuroM，代碼行數:10，代碼來源:test_tree.py

示例5: test_is_bifurcation_point_false

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def test_is_bifurcation_point_false():
    t = Tree()
    nt.ok_(not t.is_bifurcation_point())
    t.add_child(Tree())
    nt.ok_(not t.is_bifurcation_point())
    t.add_child(Tree())
    t.add_child(Tree())
    nt.ok_(not t.is_bifurcation_point())

開發者ID:juanchopanza，項目名稱:NeuroM，代碼行數:10，代碼來源:test_tree.py

示例6: test_parent

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def test_parent():
    t = Tree(0)
    for i in xrange(10):
        t.add_child(Tree(i))

    nt.ok_(len(t.children) == 10)

    for c in t.children:
        nt.ok_(c.parent is t)

開發者ID:wvangeit，項目名稱:NeuroM，代碼行數:11，代碼來源:test_tree.py

示例7: _make_simple_tree

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def _make_simple_tree():
    p = [0.0, 0.0, 0.0, 1.0, 1, 1, 1]
    T = Tree(p)
    T1 = T.add_child(Tree([0.0, 2.0, 0.0, 1.0, 1, 1, 1]))
    T2 = T1.add_child(Tree([2.0, 2.0, 0.0, 1.0, 1, 1, 1]))
    T3 = T2.add_child(Tree([2.0, 6.0, 0.0, 1.0, 1, 1, 1]))

    T5 = T.add_child(Tree([0.0, 0.0, 2.0, 1.0, 1, 1, 1]))
    T6 = T5.add_child(Tree([2.0, 0.0, 2.0, 1.0, 1, 1, 1]))
    T7 = T6.add_child(Tree([6.0, 0.0, 2.0, 1.0, 1, 1, 1]))

    return T

開發者ID:Tsolmongerel，項目名稱:NeuroM，代碼行數:14，代碼來源:test_triplets.py

示例8: _create_root_soma_tree

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def _create_root_soma_tree(neuron):
    ''' soma segment to represent the soma as a square of radius equal to the soma one
    '''
    soma_radius = neuron.get_soma_radius()

    soma_node0 = Tree((0., 0., 0., soma_radius, 1.))

    soma_node1 = Tree((soma_radius, 0., 0., soma_radius, 1.))

    soma_node0.add_child(soma_node1)

    return soma_node0

開發者ID:christian-oreilly，項目名稱:NeuroM，代碼行數:14，代碼來源:dendrogram.py

示例9: _form_simple_tree

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def _form_simple_tree():
    p = [0.0, 0.0, 0.0, 1.0, 1, 1, 1]
    T = Tree(p)
    T1 = T.add_child(Tree([0.0, 2.0, 0.0, 1.0, 1, 1, 1]))
    T2 = T1.add_child(Tree([0.0, 4.0, 0.0, 1.0, 1, 1, 1]))
    T3 = T2.add_child(Tree([0.0, 6.0, 0.0, 1.0, 1, 1, 1]))
    T4 = T3.add_child(Tree([0.0, 8.0, 0.0, 1.0, 1, 1, 1]))

    T5 = T.add_child(Tree([0.0, 0.0, 2.0, 1.0, 1, 1, 1]))
    T6 = T5.add_child(Tree([0.0, 0.0, 4.0, 1.0, 1, 1, 1]))
    T7 = T6.add_child(Tree([0.0, 0.0, 6.0, 1.0, 1, 1, 1]))
    T8 = T7.add_child(Tree([0.0, 0.0, 8.0, 1.0, 1, 1, 1]))

    return T

開發者ID:wvangeit，項目名稱:NeuroM，代碼行數:16，代碼來源:test_morphtree.py

示例10: test_principal_direction_extent

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def test_principal_direction_extent():

    points = np.array([[-10., 0., 0.],
                        [-9., 0., 0.],
                        [9., 0., 0.],
                        [10., 0., 0.]])

    tree = Tree(np.array([points[0][0], points[0][1], points[0][2], 1., 0., 0.]))
    tree.add_child(Tree(np.array([points[1][0], points[1][1], points[1][2], 1., 0., 0.])))
    tree.children[0].add_child(Tree(np.array([points[2][0], points[2][1], points[2][2], 1., 0., 0.])))
    tree.children[0].add_child(Tree(np.array([points[3][0], points[3][1], points[3][2], 1., 0., 0.])))

    extent = mtr.principal_direction_extent(tree)

    nt.assert_true(np.allclose(extent, [20., 0., 0.]))

開發者ID:Tsolmongerel，項目名稱:NeuroM，代碼行數:17，代碼來源:test_morphtree.py

示例11: _make_tree

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def _make_tree():
    '''This tree has 3 branching points'''
    p = [0.0, 0.0, 0.0, 1.0, 1, 1, 2]
    T = Tree(p)
    T1 = T.add_child(Tree([0.0, 1.0, 0.0, 2.0, 1, 1, 2]))
    T2 = T1.add_child(Tree([0.0, 2.0, 0.0, 3.0, 1, 1, 2]))
    T3 = T2.add_child(Tree([0.0, 4.0, 0.0, 4.0, 1, 1, 2]))
    T4 = T3.add_child(Tree([0.0, 5.0, 0.0, 5.0, 1, 1, 2]))
    T5 = T4.add_child(Tree([2.0, 5.0, 0.0, 6.0, 1, 1, 2]))
    T6 = T4.add_child(Tree([0.0, 5.0, 2.0, 7.0, 1, 1, 2]))
    return T

開發者ID:Tsolmongerel，項目名稱:NeuroM，代碼行數:13，代碼來源:test_points.py

示例12: _make_neuron_tree

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def _make_neuron_tree():
    p = [0.0, 0.0, 0.0, 1.0, 1, 1, 2]
    T = Tree(p)
    T1 = T.add_child(Tree([0.0, 1.0, 0.0, 1.0, 1, 1, 2]))
    T2 = T1.add_child(Tree([0.0, 2.0, 0.0, 1.0, 1, 1, 2]))
    T3 = T2.add_child(Tree([0.0, 4.0, 0.0, 2.0, 1, 1, 2]))
    T4 = T3.add_child(Tree([0.0, 5.0, 0.0, 2.0, 1, 1, 2]))
    T5 = T4.add_child(Tree([2.0, 5.0, 0.0, 1.0, 1, 1, 2]))
    T6 = T4.add_child(Tree([0.0, 5.0, 2.0, 1.0, 1, 1, 2]))
    T7 = T5.add_child(Tree([3.0, 5.0, 0.0, 0.75, 1, 1, 2]))
    T8 = T7.add_child(Tree([4.0, 5.0, 0.0, 0.75, 1, 1, 2]))
    T9 = T6.add_child(Tree([0.0, 5.0, 3.0, 0.75, 1, 1, 2]))
    T10 = T9.add_child(Tree([0.0, 6.0, 3.0, 0.75, 1, 1, 2]))
    return T

開發者ID:Tsolmongerel，項目名稱:NeuroM，代碼行數:16，代碼來源:test_segments.py

示例13: _form_branching_tree

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def _form_branching_tree():
    p = [0.0, 0.0, 0.0, 1.0, 1, 1, 2]
    T = Tree(p)
    T1 = T.add_child(Tree([0.0, 1.0, 0.0, 1.0, 1, 1, 2]))
    T2 = T1.add_child(Tree([0.0, 2.0, 0.0, 1.0, 1, 1, 2]))
    T3 = T2.add_child(Tree([0.0, 4.0, 0.0, 2.0, 1, 1, 2]))
    T4 = T3.add_child(Tree([0.0, 5.0, 0.0, 2.0, 1, 1, 2]))
    T5 = T4.add_child(Tree([2.0, 5.0, 0.0, 1.0, 1, 1, 2]))
    T6 = T4.add_child(Tree([0.0, 5.0, 2.0, 1.0, 1, 1, 2]))
    T7 = T5.add_child(Tree([3.0, 5.0, 0.0, 0.75, 1, 1, 2]))
    T8 = T7.add_child(Tree([4.0, 5.0, 0.0, 0.75, 1, 1, 2]))
    T9 = T6.add_child(Tree([0.0, 5.0, 3.0, 0.75, 1, 1, 2]))
    T10 = T9.add_child(Tree([0.0, 6.0, 3.0, 0.75, 1, 1, 2]))
    T11 = T9.add_child(Tree([0.0, 6.0, 4.0, 0.75, 1, 1, 2]))
    T33 = T3.add_child(Tree([1.0, 5.0, 0.0, 2.0, 1, 1, 2]))
    T331 = T33.add_child(Tree([15.0, 15.0, 0.0, 2.0, 1, 1, 2]))
    return T

開發者ID:wvangeit，項目名稱:NeuroM，代碼行數:19，代碼來源:test_morphtree.py

示例14: _make_branching_tree

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def _make_branching_tree():
    '''This tree has 3 branching points'''
    p = [0.0, 0.0, 0.0, 1.0, 1, 1, 2]
    T = Tree(p)
    T1 = T.add_child(Tree([0.0, 1.0, 0.0, 1.0, 1, 1, 2]))
    T2 = T1.add_child(Tree([0.0, 2.0, 0.0, 1.0, 1, 1, 2]))
    T3 = T2.add_child(Tree([0.0, 4.0, 0.0, 2.0, 1, 1, 2]))
    T4 = T3.add_child(Tree([0.0, 5.0, 0.0, 2.0, 1, 1, 2]))
    T5 = T4.add_child(Tree([2.0, 5.0, 0.0, 1.0, 1, 1, 2]))
    T6 = T4.add_child(Tree([0.0, 5.0, 2.0, 1.0, 1, 1, 2]))
    T7 = T5.add_child(Tree([3.0, 5.0, 0.0, 0.75, 1, 1, 2]))
    T8 = T7.add_child(Tree([4.0, 5.0, 0.0, 0.75, 1, 1, 2]))
    T9 = T6.add_child(Tree([0.0, 5.0, 3.0, 0.75, 1, 1, 2]))
    T10 = T9.add_child(Tree([0.0, 6.0, 3.0, 0.75, 1, 1, 2]))
    T11 = T9.add_child(Tree([0.0, 6.0, 4.0, 0.75, 1, 1, 2]))
    T33 = T3.add_child(Tree([1.0, 5.0, 0.0, 2.0, 1, 1, 2]))
    T331 = T33.add_child(Tree([15.0, 15.0, 0.0, 2.0, 1, 1, 2]))
    return T

開發者ID:Tsolmongerel，項目名稱:NeuroM，代碼行數:20，代碼來源:test_bifurcations.py

示例15: test_is_leaf_false

# 需要導入模塊: from neurom.core.tree import Tree [as 別名]
# 或者: from neurom.core.tree.Tree import add_child [as 別名]
def test_is_leaf_false():
    t = Tree(0)
    t.add_child(Tree(1))
    nt.ok_(not is_leaf(t))

開發者ID:wvangeit，項目名稱:NeuroM，代碼行數:6，代碼來源:test_tree.py

注：本文中的neurom.core.tree.Tree.add_child方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。