-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathhelpers.py
81 lines (67 loc) · 2.56 KB
/
helpers.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
import ast
from typing import Any, List
# thanks http://dev.stephendiehl.com/numpile/ :)
def ast_to_tree(node, include_attrs=True):
def _transform(node):
if isinstance(node, ast.AST):
fields = ((a, _transform(b)) for a, b in ast.iter_fields(node))
if include_attrs:
attrs = (
(a, _transform(getattr(node, a)))
for a in node._attributes
if hasattr(node, a)
)
return (node.__class__.__name__, dict(fields), dict(attrs))
return (node.__class__.__name__, dict(fields))
elif isinstance(node, list):
return [_transform(x) for x in node]
elif isinstance(node, str):
return repr(node)
return node
if not isinstance(node, ast.AST):
raise TypeError("expected AST, got %r" % node.__class__.__name__)
return _transform(node)
class Tree:
def make_node(self, left, right):
raise NotImplementedError
def get_left(self, tree_node):
raise NotImplementedError
def get_right(self, tree_node):
raise NotImplementedError
def set_right(self, tree_node, value):
raise NotImplementedError
def get_leaf_from_element(self, element):
return element
def format_leaf(self, leaf):
return leaf
def list_to_tree(self, elements: List[Any]):
tree_leaves = []
for element in elements:
leaf = self.get_leaf_from_element(element)
if not len(tree_leaves):
tree_leaves.append(self.make_node(left=leaf, right=None))
elif not self.get_right(tree_leaves[-1]):
self.set_right(tree_leaves[-1], leaf)
else:
tree_leaves.append(self.make_node(left=leaf, right=None))
if not self.get_right(tree_leaves[-1]):
tree_leaves[-1] = self.get_left(tree_leaves[-1])
def construct_tree(tree_leaves):
tree = []
i = 0
while i < len(tree_leaves):
try:
tree.append(
self.make_node(
left=self.format_leaf(tree_leaves[i]),
right=self.format_leaf(tree_leaves[i + 1]),
)
)
except IndexError:
tree.append(tree_leaves[i])
i += 2
if len(tree) == 1:
return tree[0]
else:
return construct_tree(tree)
return construct_tree(tree_leaves)