From dd38a55c77df6b1b4f535f0d31cb643a75246518 Mon Sep 17 00:00:00 2001
From: Jeevan Iyadurai <jiyadurai@DESKTOP-C4S6K49>
Date: Mon, 17 Feb 2025 17:31:15 -0500
Subject: [PATCH 1/2] Adds bs_tree.py and BSTree class

---
 src/manim_data_structures/.bs_tree.py.swp   | Bin 0 -> 20480 bytes
 src/manim_data_structures/.nary_tree.py.swp | Bin 0 -> 12288 bytes
 src/manim_data_structures/TestScene.mp4     | Bin 0 -> 19151 bytes
 src/manim_data_structures/bs_tree.py        | 144 ++++++++++++++++++++
 src/manim_data_structures/m_tree.py         | 144 ++++++++++++++++++++
 src/manim_data_structures/nary_tree.py      | 119 ++++++++++++++++
 6 files changed, 407 insertions(+)
 create mode 100644 src/manim_data_structures/.bs_tree.py.swp
 create mode 100644 src/manim_data_structures/.nary_tree.py.swp
 create mode 100644 src/manim_data_structures/TestScene.mp4
 create mode 100644 src/manim_data_structures/bs_tree.py
 create mode 100644 src/manim_data_structures/m_tree.py
 create mode 100644 src/manim_data_structures/nary_tree.py

diff --git a/src/manim_data_structures/.bs_tree.py.swp b/src/manim_data_structures/.bs_tree.py.swp
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HcmV?d00001

diff --git a/src/manim_data_structures/bs_tree.py b/src/manim_data_structures/bs_tree.py
new file mode 100644
index 0000000..4213abe
--- /dev/null
+++ b/src/manim_data_structures/bs_tree.py
@@ -0,0 +1,144 @@
+from typing import Any, Callable, Hashable
+
+import nary_tree as nt
+import networkx as nx
+from manim import Mobject
+
+
+class BSTree(nt.NaryTree):
+
+    # BSTree is a NaryTree with num_children=2.
+    # BSTree also keeps track of the values of the nodes in the tree with __values
+    def __init__(
+        self,
+        nodes: dict[int, Any],
+        vertex_type: Callable[..., Mobject],
+        edge_buff=0.4,
+        layout_config={"vertex_spacing": (0.6, -0.6)},
+        **kwargs
+    ):
+        self.__values = nodes
+        super().__init__(nodes, 2, vertex_type, edge_buff, layout_config, **kwargs)
+
+    def insert_node(self, node: Any):
+        """
+        Inserts a node into the BST, overriding definition in NaryTree
+        """
+        # find the place to insert based on BST properties, starts at index=0
+        ind = self.find_insertion_index(node)
+        # take note of the new node's value
+        self.__values[ind] = node
+        # insert the new node into the correct position using NaryTree's implementation
+        return super().insert_node(node, ind)
+
+    def remove_node(self, node: Any):
+        """
+        Removes a node with value 'node' from the BST
+        """
+        ind = -1
+        # does not support removing the root
+        for k, v in self.__values.items():
+            if k != 0 and v == node:
+                ind = k
+                break
+        if ind == -1:
+            return
+        removal_ind = ind
+        # if left child exists
+        if ind * 2 + 1 in self.__values:
+            ind = ind * 2 + 1
+            # find rightmost
+            while ind * 2 + 2 in self.__values:
+                ind = ind * 2 + 2
+            # swap the rightmost down its left
+            while ind * 2 + 1 in self.__values:
+                self.__values[ind], self.__values[ind * 2 + 1] = (
+                    self.__values[ind * 2 + 1],
+                    self.__values[ind],
+                )
+                ind = ind * 2 + 1
+            # remove
+            self.__values[ind], self.__values[removal_ind] = (
+                self.__values[removal_ind],
+                self.__values[ind],
+            )
+            del self.__values[ind]
+            self._graph.remove_vertices(ind)
+            # get rid of graph
+            for vert in self.__values:
+                if vert != 0:
+                    self._graph.remove_vertices(vert)
+            # rebuild; this also makes edges
+            for k, v in self.__values.items():
+                if k != 0:
+                    super().insert_node(v, k)
+        # choose right child if left is not present
+        elif ind * 2 + 2 in self._graph.vertices:
+            ind = ind * 2 + 2
+            while ind * 2 + 1 in self.__values:
+                ind = ind * 2 + 1
+            while ind * 2 + 2 in self.__values:
+                self.__values[ind], self.__values[ind * 2 + 2] = (
+                    self.__values[ind * 2 + 2],
+                    self.__values[ind],
+                )
+                ind = ind * 2 + 2
+            self.__values[ind], self.__values[removal_ind] = (
+                self.__values[removal_ind],
+                self.__values[ind],
+            )
+            del self.__values[ind]
+            self._graph.remove_vertices(ind)
+
+            for vert in self.__values:
+                if vert != 0:
+                    self._graph.remove_vertices(vert)
+            for k, v in self.__values.items():
+                if k != 0:
+                    super().insert_node(v, k)
+        # just delete it if it has no children
+        else:
+            self._graph.remove_vertices(removal_ind)
+            del self.__values[removal_ind]
+
+    def find_insertion_index(self, node: Any, index=0):
+        """
+        Finds the position where a value 'node' should be placed
+        """
+        # if we reach an index not yet created, we are done
+        if index not in self._graph.vertices:
+            return index
+        # otherwise, try to find position at left or right based on value
+        if node <= self.__values[index]:
+            return self.find_insertion_index(node, index * 2 + 1)
+        else:
+            return self.find_insertion_index(node, index * 2 + 2)
+
+
+if __name__ == "__main__":
+    from manim import *
+
+    class TestScene(Scene):
+        def construct(self):
+            tree = BSTree({0: 10}, vertex_type=Integer)
+            self.play(Create(tree))
+            tree.insert_node(5)
+            self.wait()
+            tree.insert_node(15)
+            self.wait()
+            tree.insert_node(20)
+            self.wait()
+            tree.insert_node(12)
+            self.wait()
+            tree.insert_node(14)
+            self.wait()
+            tree.insert_node(13)
+            self.wait()
+            tree.remove_node(15)
+            self.wait()
+            self.wait()
+
+    config.preview = True
+    config.renderer = "cairo"
+    config.quality = "high_quality"
+    TestScene().render()
diff --git a/src/manim_data_structures/m_tree.py b/src/manim_data_structures/m_tree.py
new file mode 100644
index 0000000..625ac5a
--- /dev/null
+++ b/src/manim_data_structures/m_tree.py
@@ -0,0 +1,144 @@
+import operator as op
+import random
+from collections import defaultdict
+from copy import copy
+from functools import partialmethod, reduce
+from typing import Any, Callable, Dict, Hashable, List, Tuple
+
+import numpy as np
+from manim import *
+from manim import WHITE, Graph, Mobject, VMobject
+
+
+class Tree(VMobject):
+    """Computer Science Tree Data Structure"""
+
+    _graph: Graph
+    __layout_config: dict
+    __layout_scale: float
+    __layout: str | dict
+    __vertex_type: Callable[..., Mobject]
+
+    # __parents: list
+    # __children: dict[Hashable, list] = defaultdict(list)
+
+    def __init__(
+        self,
+        nodes: dict[int, Any],
+        edges: list[tuple[int, int]],
+        vertex_type: Callable[..., Mobject],
+        edge_buff=0.4,
+        layout="tree",
+        layout_config={"vertex_spacing": (-1, 1)},
+        root_vertex=0,
+        **kwargs
+    ):
+        super().__init__(**kwargs)
+        vertex_mobjects = {k: vertex_type(v) for k, v in nodes.items()}
+        self.__layout_config = layout_config
+        self.__layout_scale = len(nodes) * 0.5
+        self.__layout = layout
+        self.__vertex_type = vertex_type
+        self._graph = Graph(
+            list(nodes),
+            edges,
+            vertex_mobjects=vertex_mobjects,
+            layout=layout,
+            root_vertex=0,
+            layout_config=self.__layout_config,
+            layout_scale=len(nodes) * 0.5,
+            edge_config={"stroke_width": 1, "stroke_color": WHITE},
+        )
+
+        def update_edges(graph: Graph):
+            """Updates edges of graph"""
+            for (u, v), edge in graph.edges.items():
+                buff_vec = (
+                    edge_buff
+                    * (graph[u].get_center() - graph[v].get_center())
+                    / np.linalg.norm(graph[u].get_center() - graph[v].get_center())
+                )
+                edge.put_start_and_end_on(
+                    graph[u].get_center() - buff_vec, graph[v].get_center() + buff_vec
+                )
+
+        self._graph.updaters.clear()
+        self._graph.updaters.append(update_edges)
+        self.add(self._graph)
+
+    def insert_node(self, node: Any, edge: tuple[Hashable, Hashable]):
+        """Inserts a node into the graph as (parent, node)"""
+        self._graph.add_vertices(
+            edge[1], vertex_mobjects={edge[1]: self.__vertex_type(node)}
+        )
+        self._graph.add_edges(edge)
+        return self
+
+    def insert_node2(self, node: Any, edge: tuple[Hashable, Hashable]):
+        """Inserts a node into the graph as (parent, node)"""
+        self._graph.change_layout(
+            self.__layout,
+            layout_scale=self.__layout_scale,
+            layout_config=self.__layout_config,
+            root_vertex=0,
+        )
+        for mob in self.family_members_with_points():
+            if (mob.get_center() == self._graph[edge[1]].get_center()).all():
+                mob.points = mob.points.astype("float")
+        return self
+
+    def insert_node3(self, node: Any, edge: tuple[Hashable, Hashable]):
+        """Inserts a node into the graph as (parent, node)"""
+        self.suspend_updating()
+        self.insert_node(node, edge)
+        # self.resume_updating()
+        self.insert_node2(node, edge)
+
+        return self
+
+    def remove_node(self, node: Hashable):
+        """Removes a node from the graph"""
+        self._graph.remove_vertices(node)
+
+    # def insert_node2(self):
+    #     """Shift by the given vectors.
+    #
+    #     Parameters
+    #     ----------
+    #     vectors
+    #         Vectors to shift by. If multiple vectors are given, they are added
+    #         together.
+    #
+    #     Returns
+    #     -------
+    #     :class:`Mobject`
+    #         ``self``
+    #
+    #     See also
+    #     --------
+    #     :meth:`move_to`
+    #     """
+    #
+    #     total_vector = reduce(op.add, vectors)
+    #     for mob in self.family_members_with_points():
+    #         mob.points = mob.points.astype("float")
+    #         mob.points += total_vector
+    #
+    #     return self
+
+
+if __name__ == "__main__":
+
+    class TestScene(Scene):
+        def construct(self):
+            #  make a parent list for a tree
+            tree = Tree({0: 0, 1: 1, 2: 2, 3: 3}, [(0, 1), (0, 2), (1, 3)], Integer)
+            self.play(Create(tree))
+            self.wait()
+            self.play(tree.animate.insert_node3(4, (2, 4)), run_time=0)
+            self.wait()
+
+    config.preview = True
+    config.renderer = "cairo"
+    config.quality = "low_quality"
+    TestScene().render(preview=True)
diff --git a/src/manim_data_structures/nary_tree.py b/src/manim_data_structures/nary_tree.py
new file mode 100644
index 0000000..a4fc9c4
--- /dev/null
+++ b/src/manim_data_structures/nary_tree.py
@@ -0,0 +1,119 @@
+from typing import Any, Callable, Hashable
+
+import networkx as nx
+import numpy as np
+from m_tree import Tree
+from manim import Mobject
+
+
+def _nary_layout(
+    T: nx.classes.graph.Graph,
+    vertex_spacing: tuple | None = None,
+    n: int | None = None,
+):
+    if not n:
+        raise ValueError("the n-ary tree layout requires the n parameter")
+    if not nx.is_tree(T):
+        raise ValueError("The tree layout must be used with trees")
+
+    max_height = NaryTree.calc_loc(max(T), n)[1]
+
+    def calc_pos(x, y):
+        """
+        Scales the coordinates to the desired spacing
+        """
+        return (x - (n**y - 1) / 2) * vertex_spacing[0] * n ** (
+            max_height - y
+        ), y * vertex_spacing[1]
+
+    return {
+        i: np.array([x, y, 0])
+        for i, (x, y) in ((i, calc_pos(*NaryTree.calc_loc(i, n))) for i in T)
+    }
+
+
+class NaryTree(Tree):
+    def __init__(
+        self,
+        nodes: dict[int, Any],
+        num_child: int,
+        vertex_type: Callable[..., Mobject],
+        edge_buff=0.4,
+        layout_config=None,
+        **kwargs
+    ):
+        if layout_config is None:
+            layout_config = {"vertex_spacing": (-1, 1)}
+        self.__layout_config = layout_config
+        self.num_child = num_child
+
+        edges = [(self.get_parent(e), e) for e in nodes if e != 0]
+        super().__init__(nodes, edges, vertex_type, edge_buff, **kwargs)
+        dict_layout = _nary_layout(self._graph._graph, n=num_child, **layout_config)
+        self._graph.change_layout(dict_layout)
+
+    @staticmethod
+    def calc_loc(i, n):
+        """
+        Calculates the coordinates in terms of the shifted level order x position and level height
+        """
+        if n == 1:
+            return 1, i + 1
+        height = int(np.emath.logn(n, i * (n - 1) + 1))
+        node_shift = (1 - n**height) // (1 - n)
+        return i - node_shift, height
+
+    @staticmethod
+    def calc_idx(loc, n):
+        """
+        Calculates the index from the coordinates
+        """
+        x, y = loc
+        if n == 1:
+            return y - 1
+
+        return int(x + (1 - n**y) // (1 - n))
+
+    def get_parent(self, idx):
+        """
+        Returns the index of the parent of the node at the given index
+        """
+        x, y = NaryTree.calc_loc(idx, self.num_child)
+        new_loc = x // self.num_child, y - 1
+        return NaryTree.calc_idx(new_loc, self.num_child)
+
+    def insert_node(self, node: Any, index: Hashable):
+        """Inserts a node into the graph"""
+        res = super().insert_node(node, (self.get_parent(index), index))
+        dict_layout = _nary_layout(
+            self._graph._graph, n=self.num_child, **self.__layout_config
+        )
+        self._graph.change_layout(dict_layout)
+        self.update()
+        return res
+
+
+if __name__ == "__main__":
+    from manim import *
+
+    class TestScene(Scene):
+        def construct(self):
+            tree = NaryTree(
+                {0: 0, 1: 1, 4: 4},
+                num_child=2,
+                vertex_type=Integer,
+                layout_config={"vertex_spacing": (1, -1)},
+            )
+            # tree._graph.change_layout(root_vertex=0, layout_config=tree._Tree__layout_config,
+            #                           layout_scale=tree._Tree__layout_scale)
+            self.play(Create(tree))
+            self.wait()
+            tree.insert_node(3, 3)
+            self.wait()
+            tree.remove_node(4)
+            self.wait()
+
+    config.preview = True
+    config.renderer = "cairo"
+    config.quality = "low_quality"
+    TestScene().render(preview=True)

From df93d0792fe0e00e21c4609c6d164a5687969f11 Mon Sep 17 00:00:00 2001
From: Jeevan Iyadurai <jiyadurai@DESKTOP-C4S6K49>
Date: Mon, 17 Feb 2025 18:12:05 -0500
Subject: [PATCH 2/2] Removes unwanted files

---
 src/manim_data_structures/.bs_tree.py.swp   | Bin 20480 -> 0 bytes
 src/manim_data_structures/.nary_tree.py.swp | Bin 12288 -> 0 bytes
 src/manim_data_structures/TestScene.mp4     | Bin 19151 -> 0 bytes
 3 files changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 src/manim_data_structures/.bs_tree.py.swp
 delete mode 100644 src/manim_data_structures/.nary_tree.py.swp
 delete mode 100644 src/manim_data_structures/TestScene.mp4

diff --git a/src/manim_data_structures/.bs_tree.py.swp b/src/manim_data_structures/.bs_tree.py.swp
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