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A powerful Python package for managing, analyzing, and visualizing tree structures with rich interval-based node positioning
from tree_interval import Future
class Nested:
def __init__(self):
self.__dict__ = {}
def __getattr__(self, name):
return Future(name, frame=1, instance=self)
# Dynamic attribute chain creation
obj = Nested()
obj.a.b.c = 42 # Creates nested structure automatically
print(obj.a.b.c) # 42
# Smart error reporting
print(obj.x.y.z) # Raises detailed error with context
from tree_interval import Tree, Leaf, Position
# Create a basic tree
tree = Tree("Example")
root = Leaf(Position(0, 100), "Root")
child = Leaf(Position(10, 50), "Child")
tree.root = root
tree.add_leaf(child)
# Visualize the tree
tree.visualize()
pip install tree-interval
# Basic Position
pos = Position(0, 100)
# Line-Aware Position
pos = Position(0, 100)
pos.lineno = 1
pos.end_lineno = 5
# Column-Aware Position
pos = Position(0, 100)
pos.col_offset = 4
pos.end_col_offset = 8
# Basic ASCII Tree
tree.visualize()
# Rich Pretty Printing
from tree_interval.rich_printer import RichTreePrinter
printer = RichTreePrinter()
printer.print_tree(tree)
Code Analysis
Tree Visualization
Position Tracking
This project is licensed under the MIT License - see the LICENSE file for details.
FAQs
A Python package for managing and visualizing interval tree structures
We found that tree-interval demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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