Vehicle-Anti-Theft-Face-Rec.../venv/Lib/site-packages/sklearn/tree/_reingold_tilford.py

188 lines
5.1 KiB
Python

# Authors: William Mill (bill@billmill.org)
# License: BSD 3 clause
import numpy as np
class DrawTree:
def __init__(self, tree, parent=None, depth=0, number=1):
self.x = -1.
self.y = depth
self.tree = tree
self.children = [DrawTree(c, self, depth + 1, i + 1)
for i, c
in enumerate(tree.children)]
self.parent = parent
self.thread = None
self.mod = 0
self.ancestor = self
self.change = self.shift = 0
self._lmost_sibling = None
# this is the number of the node in its group of siblings 1..n
self.number = number
def left(self):
return self.thread or len(self.children) and self.children[0]
def right(self):
return self.thread or len(self.children) and self.children[-1]
def lbrother(self):
n = None
if self.parent:
for node in self.parent.children:
if node == self:
return n
else:
n = node
return n
def get_lmost_sibling(self):
if not self._lmost_sibling and self.parent and self != \
self.parent.children[0]:
self._lmost_sibling = self.parent.children[0]
return self._lmost_sibling
lmost_sibling = property(get_lmost_sibling)
def __str__(self):
return "%s: x=%s mod=%s" % (self.tree, self.x, self.mod)
def __repr__(self):
return self.__str__()
def max_extents(self):
extents = [c.max_extents() for c in self. children]
extents.append((self.x, self.y))
return np.max(extents, axis=0)
def buchheim(tree):
dt = first_walk(DrawTree(tree))
min = second_walk(dt)
if min < 0:
third_walk(dt, -min)
return dt
def third_walk(tree, n):
tree.x += n
for c in tree.children:
third_walk(c, n)
def first_walk(v, distance=1.):
if len(v.children) == 0:
if v.lmost_sibling:
v.x = v.lbrother().x + distance
else:
v.x = 0.
else:
default_ancestor = v.children[0]
for w in v.children:
first_walk(w)
default_ancestor = apportion(w, default_ancestor, distance)
# print("finished v =", v.tree, "children")
execute_shifts(v)
midpoint = (v.children[0].x + v.children[-1].x) / 2
w = v.lbrother()
if w:
v.x = w.x + distance
v.mod = v.x - midpoint
else:
v.x = midpoint
return v
def apportion(v, default_ancestor, distance):
w = v.lbrother()
if w is not None:
# in buchheim notation:
# i == inner; o == outer; r == right; l == left; r = +; l = -
vir = vor = v
vil = w
vol = v.lmost_sibling
sir = sor = v.mod
sil = vil.mod
sol = vol.mod
while vil.right() and vir.left():
vil = vil.right()
vir = vir.left()
vol = vol.left()
vor = vor.right()
vor.ancestor = v
shift = (vil.x + sil) - (vir.x + sir) + distance
if shift > 0:
move_subtree(ancestor(vil, v, default_ancestor), v, shift)
sir = sir + shift
sor = sor + shift
sil += vil.mod
sir += vir.mod
sol += vol.mod
sor += vor.mod
if vil.right() and not vor.right():
vor.thread = vil.right()
vor.mod += sil - sor
else:
if vir.left() and not vol.left():
vol.thread = vir.left()
vol.mod += sir - sol
default_ancestor = v
return default_ancestor
def move_subtree(wl, wr, shift):
subtrees = wr.number - wl.number
# print(wl.tree, "is conflicted with", wr.tree, 'moving', subtrees,
# 'shift', shift)
# print wl, wr, wr.number, wl.number, shift, subtrees, shift/subtrees
wr.change -= shift / subtrees
wr.shift += shift
wl.change += shift / subtrees
wr.x += shift
wr.mod += shift
def execute_shifts(v):
shift = change = 0
for w in v.children[::-1]:
# print("shift:", w, shift, w.change)
w.x += shift
w.mod += shift
change += w.change
shift += w.shift + change
def ancestor(vil, v, default_ancestor):
# the relevant text is at the bottom of page 7 of
# "Improving Walker's Algorithm to Run in Linear Time" by Buchheim et al,
# (2002)
# http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.16.8757&rep=rep1&type=pdf
if vil.ancestor in v.parent.children:
return vil.ancestor
else:
return default_ancestor
def second_walk(v, m=0, depth=0, min=None):
v.x += m
v.y = depth
if min is None or v.x < min:
min = v.x
for w in v.children:
min = second_walk(w, m + v.mod, depth + 1, min)
return min
class Tree:
def __init__(self, label="", node_id=-1, *children):
self.label = label
self.node_id = node_id
if children:
self.children = children
else:
self.children = []