From c27bd5144fd48c1a30d10f0d230fabb4fd0b3925 Mon Sep 17 00:00:00 2001
From: QuantumNovice <43876848+QuantumNovice@users.noreply.github.com>
Date: Thu, 25 Jul 2019 23:38:24 +0500
Subject: [PATCH] in_static_equilibrium checks if a 2D static system is in
 equilibrium (#1062)

* Add files via upload

* Add files via upload

* Create .a

* Add files via upload

* Add files via upload

* Rename static_solver.py to in_static_equilibrium.py

* Delete .a

* Update in_static_equilibrium.py

* Add files via upload

* Add files via upload

* Update in_static_equilibrium.py

* Add files via upload

* Add files via upload

* Add files via upload

* Add files via upload

* pyTests added

* Add files via upload

* Delete red_black_tree.py

* Add files via upload
---
 .../image_data/2D_problems.JPG                |  Bin 0 -> 58752 bytes
 .../image_data/2D_problems_1.JPG              |  Bin 0 -> 41392 bytes
 arithmetic_analysis/in_static_equilibrium.py  |   89 ++
 data_structures/binary_tree/red_black_tree.py | 1376 +++++++++--------
 4 files changed, 800 insertions(+), 665 deletions(-)
 create mode 100644 arithmetic_analysis/image_data/2D_problems.JPG
 create mode 100644 arithmetic_analysis/image_data/2D_problems_1.JPG
 create mode 100644 arithmetic_analysis/in_static_equilibrium.py

diff --git a/arithmetic_analysis/image_data/2D_problems.JPG b/arithmetic_analysis/image_data/2D_problems.JPG
new file mode 100644
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diff --git a/arithmetic_analysis/in_static_equilibrium.py b/arithmetic_analysis/in_static_equilibrium.py
new file mode 100644
index 000000000..48eb6135e
--- /dev/null
+++ b/arithmetic_analysis/in_static_equilibrium.py
@@ -0,0 +1,89 @@
+"""
+Checks if a system of forces is in static equilibrium.
+
+python/black : true
+flake8 : passed
+mypy : passed
+"""
+
+from numpy import array, cos, sin, radians, cross  # type: ignore
+from typing import List
+
+
+def polar_force(
+    magnitude: float, angle: float, radian_mode: bool = False
+) -> List[float]:
+    """
+    Resolves force along rectangular components.
+    (force, angle) => (force_x, force_y)
+    >>> polar_force(10, 45)
+    [7.0710678118654755, 7.071067811865475]
+    >>> polar_force(10, 3.14, radian_mode=True)
+    [-9.999987317275394, 0.01592652916486828]
+    """
+    if radian_mode:
+        return [magnitude * cos(angle), magnitude * sin(angle)]
+    return [magnitude * cos(radians(angle)), magnitude * sin(radians(angle))]
+
+
+def in_static_equilibrium(
+    forces: array, location: array, eps: float = 10 ** -1
+) -> bool:
+    """
+    Check if a system is in equilibrium.
+    It takes two numpy.array objects.
+    forces ==>  [
+                        [force1_x, force1_y],
+                        [force2_x, force2_y],
+                        ....]
+    location ==>  [
+                        [x1, y1],
+                        [x2, y2],
+                        ....]
+    >>> force = array([[1, 1], [-1, 2]])
+    >>> location = array([[1, 0], [10, 0]])
+    >>> in_static_equilibrium(force, location)
+    False
+    """
+    # summation of moments is zero
+    moments: array = cross(location, forces)
+    sum_moments: float = sum(moments)
+    return abs(sum_moments) < eps
+
+
+if __name__ == "__main__":
+    # Test to check if it works
+    forces = array(
+        [
+            polar_force(718.4, 180 - 30),
+            polar_force(879.54, 45),
+            polar_force(100, -90)
+        ])
+
+    location = array([[0, 0], [0, 0], [0, 0]])
+
+    assert in_static_equilibrium(forces, location)
+
+    # Problem 1 in image_data/2D_problems.jpg
+    forces = array(
+        [
+            polar_force(30 * 9.81, 15),
+            polar_force(215, 180 - 45),
+            polar_force(264, 90 - 30),
+        ]
+    )
+
+    location = array([[0, 0], [0, 0], [0, 0]])
+
+    assert in_static_equilibrium(forces, location)
+
+    # Problem in image_data/2D_problems_1.jpg
+    forces = array([[0, -2000], [0, -1200], [0, 15600], [0, -12400]])
+
+    location = array([[0, 0], [6, 0], [10, 0], [12, 0]])
+
+    assert in_static_equilibrium(forces, location)
+
+    import doctest
+
+    doctest.testmod()
diff --git a/data_structures/binary_tree/red_black_tree.py b/data_structures/binary_tree/red_black_tree.py
index 4ca1301dd..526f5ec27 100644
--- a/data_structures/binary_tree/red_black_tree.py
+++ b/data_structures/binary_tree/red_black_tree.py
@@ -1,665 +1,711 @@
-class RedBlackTree:
-    """
-    A Red-Black tree, which is a self-balancing BST (binary search
-    tree).
-
-    This tree has similar performance to AVL trees, but the balancing is
-    less strict, so it will perform faster for writing/deleting nodes
-    and slower for reading in the average case, though, because they're
-    both balanced binary search trees, both will get the same asymptotic
-    perfomance.
-
-    To read more about them, https://en.wikipedia.org/wiki/Red–black_tree
-
-    Unless otherwise specified, all asymptotic runtimes are specified in
-    terms of the size of the tree.
-    """
-    def __init__(self, label=None, color=0, parent=None, left=None, right=None):
-        """Initialize a new Red-Black Tree node with the given values:
-            label: The value associated with this node
-            color: 0 if black, 1 if red
-            parent: The parent to this node
-            left: This node's left child
-            right: This node's right child
-        """
-        self.label = label
-        self.parent = parent
-        self.left = left
-        self.right = right
-        self.color = color
-
-    # Here are functions which are specific to red-black trees
-
-    def rotate_left(self):
-        """Rotate the subtree rooted at this node to the left and
-        returns the new root to this subtree.
-
-        Perfoming one rotation can be done in O(1).
-        """
-        parent = self.parent
-        right = self.right
-        self.right = right.left
-        if self.right:
-            self.right.parent = self
-        self.parent = right
-        right.left = self
-        if parent is not None:
-            if parent.left is self:
-                parent.left = right
-            else:
-                parent.right = right
-        right.parent = parent
-        return right
-    
-    def rotate_right(self):
-        """Rotate the subtree rooted at this node to the right and
-        returns the new root to this subtree.
-
-        Performing one rotation can be done in O(1).
-        """
-        parent = self.parent
-        left = self.left
-        self.left = left.right
-        if self.left:
-            self.left.parent = self
-        self.parent = left
-        left.right = self
-        if parent is not None:
-            if parent.right is self:
-                parent.right = left
-            else:
-                parent.left = left
-        left.parent = parent
-        return left
-
-    def insert(self, label):
-        """Inserts label into the subtree rooted at self, performs any
-        rotations necessary to maintain balance, and then returns the
-        new root to this subtree (likely self).
-
-        This is guaranteed to run in O(log(n)) time.
-        """
-        if self.label is None:
-            # Only possible with an empty tree
-            self.label = label
-            return self
-        if self.label == label:
-            return self
-        elif self.label > label:
-            if self.left:
-                self.left.insert(label)
-            else:
-                self.left = RedBlackTree(label, 1, self)
-                self.left._insert_repair()
-        else:
-            if self.right:
-                self.right.insert(label)
-            else:
-                self.right = RedBlackTree(label, 1, self)
-                self.right._insert_repair()
-        return self.parent or self
-
-    def _insert_repair(self):
-        """Repair the coloring from inserting into a tree."""
-        if self.parent is None:
-            # This node is the root, so it just needs to be black
-            self.color = 0
-        elif color(self.parent) == 0:
-            # If the parent is black, then it just needs to be red
-            self.color = 1
-        else:
-            uncle = self.parent.sibling
-            if color(uncle) == 0:
-                if self.is_left() and self.parent.is_right():
-                    self.parent.rotate_right()
-                    self.right._insert_repair()
-                elif self.is_right() and self.parent.is_left():
-                    self.parent.rotate_left()
-                    self.left._insert_repair()
-                elif self.is_left():
-                    self.grandparent.rotate_right()
-                    self.parent.color = 0
-                    self.parent.right.color = 1
-                else:
-                    self.grandparent.rotate_left()
-                    self.parent.color = 0
-                    self.parent.left.color = 1
-            else:
-                self.parent.color = 0
-                uncle.color = 0
-                self.grandparent.color = 1
-                self.grandparent._insert_repair()
-
-    def remove(self, label):
-        """Remove label from this tree."""
-        if self.label == label:
-            if self.left and self.right:
-                # It's easier to balance a node with at most one child,
-                # so we replace this node with the greatest one less than
-                # it and remove that.
-                value = self.left.get_max()
-                self.label = value
-                self.left.remove(value)
-            else:
-                # This node has at most one non-None child, so we don't
-                # need to replace
-                child = self.left or self.right
-                if self.color == 1:
-                    # This node is red, and its child is black
-                    # The only way this happens to a node with one child
-                    # is if both children are None leaves.
-                    # We can just remove this node and call it a day.
-                    if self.is_left():
-                        self.parent.left = None
-                    else:
-                        self.parent.right = None
-                else:
-                    # The node is black
-                    if child is None:
-                        # This node and its child are black
-                        if self.parent is None:
-                            # The tree is now empty
-                            return RedBlackTree(None)
-                        else:
-                            self._remove_repair()
-                            if self.is_left():
-                                self.parent.left = None
-                            else:
-                                self.parent.right = None
-                            self.parent = None
-                    else:
-                        # This node is black and its child is red
-                        # Move the child node here and make it black
-                        self.label = child.label
-                        self.left = child.left
-                        self.right = child.right
-                        if self.left:
-                            self.left.parent = self
-                        if self.right:
-                            self.right.parent = self
-        elif self.label > label:
-            if self.left:
-                self.left.remove(label)
-        else:
-            if self.right:
-                self.right.remove(label)
-        return self.parent or self
-
-    def _remove_repair(self):
-        """Repair the coloring of the tree that may have been messed up."""
-        if color(self.sibling) == 1:
-            self.sibling.color = 0
-            self.parent.color = 1
-            if self.is_left():
-                self.parent.rotate_left()
-            else:
-                self.parent.rotate_right()
-        if color(self.parent) == 0 and color(self.sibling) == 0 \
-                and color(self.sibling.left) == 0 \
-                and color(self.sibling.right) == 0:
-            self.sibling.color = 1
-            self.parent._remove_repair()
-            return
-        if color(self.parent) == 1 and color(self.sibling) == 0 \
-                and color(self.sibling.left) == 0 \
-                and color(self.sibling.right) == 0:
-            self.sibling.color = 1
-            self.parent.color = 0
-            return
-        if (self.is_left() 
-                and color(self.sibling) == 0
-                and color(self.sibling.right) == 0
-                and color(self.sibling.left) == 1):
-            self.sibling.rotate_right()
-            self.sibling.color = 0
-            self.sibling.right.color = 1
-        if (self.is_right()
-                and color(self.sibling) == 0
-                and color(self.sibling.right) == 1
-                and color(self.sibling.left) == 0):
-            self.sibling.rotate_left()
-            self.sibling.color = 0
-            self.sibling.left.color = 1
-        if (self.is_left()
-                and color(self.sibling) == 0
-                and color(self.sibling.right) == 1):
-            self.parent.rotate_left()
-            self.grandparent.color = self.parent.color
-            self.parent.color = 0
-            self.parent.sibling.color = 0
-        if (self.is_right()
-                and color(self.sibling) == 0
-                and color(self.sibling.left) == 1):
-            self.parent.rotate_right()
-            self.grandparent.color = self.parent.color
-            self.parent.color = 0
-            self.parent.sibling.color = 0
-
-    def check_color_properties(self):
-        """Check the coloring of the tree, and return True iff the tree
-        is colored in a way which matches these five properties:
-        (wording stolen from wikipedia article)
-         1. Each node is either red or black.
-         2. The root node is black.
-         3. All leaves are black.
-         4. If a node is red, then both its children are black.
-         5. Every path from any node to all of its descendent NIL nodes
-            has the same number of black nodes.
-
-        This function runs in O(n) time, because properties 4 and 5 take
-        that long to check.
-        """
-        # I assume property 1 to hold because there is nothing that can
-        # make the color be anything other than 0 or 1.
-
-        # Property 2
-        if self.color:
-            # The root was red
-            print('Property 2')
-            return False;
-
-        # Property 3 does not need to be checked, because None is assumed
-        # to be black and is all the leaves.
-
-        # Property 4
-        if not self.check_coloring():
-            print('Property 4')
-            return False
-
-        # Property 5
-        if self.black_height() is None:
-            print('Property 5')
-            return False
-        # All properties were met
-        return True
-
-    def check_coloring(self):
-        """A helper function to recursively check Property 4 of a
-        Red-Black Tree. See check_color_properties for more info.
-        """
-        if self.color == 1:
-            if color(self.left) == 1 or color(self.right) == 1:
-                return False
-        if self.left and not self.left.check_coloring():
-            return False
-        if self.right and not self.right.check_coloring():
-            return False
-        return True
-
-    def black_height(self):
-        """Returns the number of black nodes from this node to the
-        leaves of the tree, or None if there isn't one such value (the
-        tree is color incorrectly).
-        """
-        if self is None:
-            # If we're already at a leaf, there is no path
-            return 1
-        left = RedBlackTree.black_height(self.left)
-        right = RedBlackTree.black_height(self.right)
-        if left is None or right is None:
-            # There are issues with coloring below children nodes
-            return None
-        if left != right:
-            # The two children have unequal depths
-            return None
-        # Return the black depth of children, plus one if this node is
-        # black
-        return left + (1-self.color)
-
-    # Here are functions which are general to all binary search trees
-
-    def __contains__(self, label):
-        """Search through the tree for label, returning True iff it is
-        found somewhere in the tree.
-        
-        Guaranteed to run in O(log(n)) time.
-        """
-        return self.search(label) is not None
-
-    def search(self, label):
-        """Search through the tree for label, returning its node if
-        it's found, and None otherwise.
-
-        This method is guaranteed to run in O(log(n)) time.
-        """
-        if self.label == label:
-            return self
-        elif label > self.label:
-            if self.right is None:
-                return None
-            else:
-                return self.right.search(label)
-        else:
-            if self.left is None:
-                return None
-            else:
-                return self.left.search(label)
-
-    def floor(self, label):
-        """Returns the largest element in this tree which is at most label.
-        
-        This method is guaranteed to run in O(log(n)) time."""
-        if self.label == label:
-            return self.label
-        elif self.label > label:
-            if self.left:
-                return self.left.floor(label)
-            else:
-                return None
-        else:
-            if self.right:
-                attempt = self.right.floor(label)
-                if attempt is not None:
-                    return attempt
-            return self.label
-
-    def ceil(self, label):
-        """Returns the smallest element in this tree which is at least label.
-        
-        This method is guaranteed to run in O(log(n)) time.
-        """
-        if self.label == label:
-            return self.label
-        elif self.label < label:
-            if self.right:
-                return self.right.ceil(label)
-            else:
-                return None
-        else:
-            if self.left:
-                attempt = self.left.ceil(label)
-                if attempt is not None:
-                    return attempt
-            return self.label
-
-    def get_max(self):
-        """Returns the largest element in this tree.
-
-        This method is guaranteed to run in O(log(n)) time.
-        """
-        if self.right:
-            # Go as far right as possible
-            return self.right.get_max()
-        else:
-            return self.label
-
-    def get_min(self):
-        """Returns the smallest element in this tree.
-
-        This method is guaranteed to run in O(log(n)) time.
-        """
-        if self.left:
-            # Go as far left as possible
-            return self.left.get_min()
-        else:
-            return self.label
-
-    @property
-    def grandparent(self):
-        """Get the current node's grandparent, or None if it doesn't exist."""
-        if self.parent is None:
-            return None
-        else:
-            return self.parent.parent
-    
-    @property
-    def sibling(self):
-        """Get the current node's sibling, or None if it doesn't exist."""
-        if self.parent is None:
-            return None
-        elif self.parent.left is self:
-            return self.parent.right
-        else:
-            return self.parent.left
-
-    def is_left(self):
-        """Returns true iff this node is the left child of its parent."""
-        return self.parent and self.parent.left is self
-
-    def is_right(self):
-        """Returns true iff this node is the right child of its parent."""
-        return self.parent and self.parent.right is self
-
-    def __bool__(self):
-        return True
-
-    def __len__(self):
-        """
-        Return the number of nodes in this tree.
-        """
-        ln = 1
-        if self.left:
-            ln += len(self.left)
-        if self.right:
-            ln += len(self.right)
-        return ln
-
-    def preorder_traverse(self):
-        yield self.label
-        if self.left:
-            yield from self.left.preorder_traverse()
-        if self.right:
-            yield from self.right.preorder_traverse()
-
-    def inorder_traverse(self):
-        if self.left:
-            yield from self.left.inorder_traverse()
-        yield self.label
-        if self.right:
-            yield from self.right.inorder_traverse()
-
-
-    def postorder_traverse(self):
-        if self.left:
-            yield from self.left.postorder_traverse()
-        if self.right:
-            yield from self.right.postorder_traverse()
-        yield self.label
-
-    def __repr__(self):
-        from pprint import pformat
-        if self.left is None and self.right is None:
-            return "'%s %s'" % (self.label, (self.color and 'red') or 'blk')
-        return pformat({'%s %s' % (self.label, (self.color and 'red') or 'blk'):
-                            (self.left, self.right)},
-                       indent=1)
-
-    def __eq__(self, other):
-        """Test if two trees are equal."""
-        if self.label == other.label:
-            return self.left == other.left and self.right == other.right
-        else:
-            return False
-
-def color(node):
-    """Returns the color of a node, allowing for None leaves."""
-    if node is None:
-        return 0
-    else:
-        return node.color
-
-"""
-Code for testing the various functions of the red-black tree.
-"""
-
-def test_rotations():
-    """Test that the rotate_left and rotate_right functions work."""
-    # Make a tree to test on
-    tree = RedBlackTree(0)
-    tree.left = RedBlackTree(-10, parent=tree)
-    tree.right = RedBlackTree(10, parent=tree)
-    tree.left.left = RedBlackTree(-20, parent=tree.left)
-    tree.left.right = RedBlackTree(-5, parent=tree.left)
-    tree.right.left = RedBlackTree(5, parent=tree.right)
-    tree.right.right = RedBlackTree(20, parent=tree.right)
-    # Make the right rotation
-    left_rot = RedBlackTree(10)
-    left_rot.left = RedBlackTree(0, parent=left_rot)
-    left_rot.left.left = RedBlackTree(-10, parent=left_rot.left)
-    left_rot.left.right = RedBlackTree(5, parent=left_rot.left)
-    left_rot.left.left.left = RedBlackTree(-20, parent=left_rot.left.left)
-    left_rot.left.left.right = RedBlackTree(-5, parent=left_rot.left.left)
-    left_rot.right = RedBlackTree(20, parent=left_rot)
-    tree = tree.rotate_left()
-    if tree != left_rot:
-        return False
-    tree = tree.rotate_right()
-    tree = tree.rotate_right()
-    # Make the left rotation
-    right_rot = RedBlackTree(-10)
-    right_rot.left = RedBlackTree(-20, parent=right_rot)
-    right_rot.right = RedBlackTree(0, parent=right_rot)
-    right_rot.right.left = RedBlackTree(-5, parent=right_rot.right)
-    right_rot.right.right = RedBlackTree(10, parent=right_rot.right)
-    right_rot.right.right.left = RedBlackTree(5, parent=right_rot.right.right)
-    right_rot.right.right.right = RedBlackTree(20, parent=right_rot.right.right)
-    if tree != right_rot:
-        return False
-    return True
-
-def test_insertion_speed():
-    """Test that the tree balances inserts to O(log(n)) by doing a lot
-    of them.
-    """
-    tree = RedBlackTree(-1)
-    for i in range(300000):
-        tree = tree.insert(i)
-    return True
-
-def test_insert():
-    """Test the insert() method of the tree correctly balances, colors,
-    and inserts.
-    """
-    tree = RedBlackTree(0)
-    tree.insert(8)
-    tree.insert(-8)
-    tree.insert(4)
-    tree.insert(12)
-    tree.insert(10)
-    tree.insert(11)
-    ans = RedBlackTree(0, 0)
-    ans.left = RedBlackTree(-8, 0, ans)
-    ans.right = RedBlackTree(8, 1, ans)
-    ans.right.left = RedBlackTree(4, 0, ans.right)
-    ans.right.right = RedBlackTree(11, 0, ans.right)
-    ans.right.right.left = RedBlackTree(10, 1, ans.right.right)
-    ans.right.right.right = RedBlackTree(12, 1, ans.right.right)
-    return tree == ans
-
-def test_insert_and_search():
-    """Tests searching through the tree for values."""
-    tree = RedBlackTree(0)
-    tree.insert(8)
-    tree.insert(-8)
-    tree.insert(4)
-    tree.insert(12)
-    tree.insert(10)
-    tree.insert(11)
-    if 5 in tree or -6 in tree or -10 in tree or 13 in tree:
-        # Found something not in there
-        return False
-    if not (11 in tree and 12 in tree and -8 in tree and 0 in tree):
-        # Didn't find something in there
-        return False
-    return True
-
-def test_insert_delete():
-    """Test the insert() and delete() method of the tree, verifying the
-    insertion and removal of elements, and the balancing of the tree.
-    """
-    tree = RedBlackTree(0)
-    tree = tree.insert(-12)
-    tree = tree.insert(8)
-    tree = tree.insert(-8)
-    tree = tree.insert(15)
-    tree = tree.insert(4)
-    tree = tree.insert(12)
-    tree = tree.insert(10)
-    tree = tree.insert(9)
-    tree = tree.insert(11)
-    tree = tree.remove(15)
-    tree = tree.remove(-12)
-    tree = tree.remove(9)
-    if not tree.check_color_properties():
-        return False
-    if list(tree.inorder_traverse()) != [-8, 0, 4, 8, 10, 11, 12]:
-        return False
-    return True
-
-def test_floor_ceil():
-    """Tests the floor and ceiling functions in the tree."""
-    tree = RedBlackTree(0)
-    tree.insert(-16)
-    tree.insert(16)
-    tree.insert(8)
-    tree.insert(24)
-    tree.insert(20)
-    tree.insert(22)
-    tuples = [(-20, None, -16), (-10, -16, 0), (8, 8, 8), (50, 24, None)]
-    for val, floor, ceil in tuples:
-        if tree.floor(val) != floor or tree.ceil(val) != ceil:
-            return False
-    return True
-
-def test_min_max():
-    """Tests the min and max functions in the tree."""
-    tree = RedBlackTree(0)
-    tree.insert(-16)
-    tree.insert(16)
-    tree.insert(8)
-    tree.insert(24)
-    tree.insert(20)
-    tree.insert(22)
-    if tree.get_max() != 22 or tree.get_min() != -16:
-        return False
-    return True
-
-def test_tree_traversal():
-    """Tests the three different tree traversal functions."""
-    tree = RedBlackTree(0)
-    tree.insert(-16)
-    tree.insert(16)
-    tree.insert(8)
-    tree.insert(24)
-    tree.insert(20)
-    tree.insert(22)
-    if list(tree.inorder_traverse()) != [-16, 0, 8, 16, 20, 22, 24]:
-        return False
-    if list(tree.preorder_traverse()) != [0, -16, 16, 8, 22, 20, 24]:
-        return False
-    if list(tree.postorder_traverse()) != [-16, 8, 20, 24, 22, 16, 0]:
-        return False
-    return True
-
-def main():
-    if test_rotations():
-        print('Rotating right and left works!')
-    else:
-        print('Rotating right and left doesn\'t work. :(')
-    if test_insert():
-        print('Inserting works!')
-    else:
-        print('Inserting doesn\'t work :(')
-    if test_insert_and_search():
-        print('Searching works!')
-    else:
-        print('Searching doesn\'t work :(')
-    if test_insert_delete():
-        print('Deleting works!')
-    else:
-        print('Deleting doesn\'t work :(')
-    if test_floor_ceil():
-        print('Floor and ceil work!')
-    else:
-        print('Floor and ceil don\'t work :(')
-    if test_tree_traversal():
-        print('Tree traversal works!')
-    else:
-        print('Tree traversal doesn\'t work :(')
-    print('Testing tree balancing...')
-    print('This should only be a few seconds.')
-    test_insertion_speed()
-    print('Done!')
-
-if __name__ == '__main__':
-    main()
+"""
+python/black : true
+flake8 : passed
+"""
+
+
+class RedBlackTree:
+    """
+    A Red-Black tree, which is a self-balancing BST (binary search
+    tree).
+    This tree has similar performance to AVL trees, but the balancing is
+    less strict, so it will perform faster for writing/deleting nodes
+    and slower for reading in the average case, though, because they're
+    both balanced binary search trees, both will get the same asymptotic
+    perfomance.
+    To read more about them, https://en.wikipedia.org/wiki/Red–black_tree
+    Unless otherwise specified, all asymptotic runtimes are specified in
+    terms of the size of the tree.
+    """
+
+    def __init__(self, label=None, color=0, parent=None, left=None, right=None):
+        """Initialize a new Red-Black Tree node with the given values:
+            label: The value associated with this node
+            color: 0 if black, 1 if red
+            parent: The parent to this node
+            left: This node's left child
+            right: This node's right child
+        """
+        self.label = label
+        self.parent = parent
+        self.left = left
+        self.right = right
+        self.color = color
+
+    # Here are functions which are specific to red-black trees
+
+    def rotate_left(self):
+        """Rotate the subtree rooted at this node to the left and
+        returns the new root to this subtree.
+        Perfoming one rotation can be done in O(1).
+        """
+        parent = self.parent
+        right = self.right
+        self.right = right.left
+        if self.right:
+            self.right.parent = self
+        self.parent = right
+        right.left = self
+        if parent is not None:
+            if parent.left == self:
+                parent.left = right
+            else:
+                parent.right = right
+        right.parent = parent
+        return right
+
+    def rotate_right(self):
+        """Rotate the subtree rooted at this node to the right and
+        returns the new root to this subtree.
+        Performing one rotation can be done in O(1).
+        """
+        parent = self.parent
+        left = self.left
+        self.left = left.right
+        if self.left:
+            self.left.parent = self
+        self.parent = left
+        left.right = self
+        if parent is not None:
+            if parent.right is self:
+                parent.right = left
+            else:
+                parent.left = left
+        left.parent = parent
+        return left
+
+    def insert(self, label):
+        """Inserts label into the subtree rooted at self, performs any
+        rotations necessary to maintain balance, and then returns the
+        new root to this subtree (likely self).
+        This is guaranteed to run in O(log(n)) time.
+        """
+        if self.label is None:
+            # Only possible with an empty tree
+            self.label = label
+            return self
+        if self.label == label:
+            return self
+        elif self.label > label:
+            if self.left:
+                self.left.insert(label)
+            else:
+                self.left = RedBlackTree(label, 1, self)
+                self.left._insert_repair()
+        else:
+            if self.right:
+                self.right.insert(label)
+            else:
+                self.right = RedBlackTree(label, 1, self)
+                self.right._insert_repair()
+        return self.parent or self
+
+    def _insert_repair(self):
+        """Repair the coloring from inserting into a tree."""
+        if self.parent is None:
+            # This node is the root, so it just needs to be black
+            self.color = 0
+        elif color(self.parent) == 0:
+            # If the parent is black, then it just needs to be red
+            self.color = 1
+        else:
+            uncle = self.parent.sibling
+            if color(uncle) == 0:
+                if self.is_left() and self.parent.is_right():
+                    self.parent.rotate_right()
+                    self.right._insert_repair()
+                elif self.is_right() and self.parent.is_left():
+                    self.parent.rotate_left()
+                    self.left._insert_repair()
+                elif self.is_left():
+                    self.grandparent.rotate_right()
+                    self.parent.color = 0
+                    self.parent.right.color = 1
+                else:
+                    self.grandparent.rotate_left()
+                    self.parent.color = 0
+                    self.parent.left.color = 1
+            else:
+                self.parent.color = 0
+                uncle.color = 0
+                self.grandparent.color = 1
+                self.grandparent._insert_repair()
+
+    def remove(self, label):
+        """Remove label from this tree."""
+        if self.label == label:
+            if self.left and self.right:
+                # It's easier to balance a node with at most one child,
+                # so we replace this node with the greatest one less than
+                # it and remove that.
+                value = self.left.get_max()
+                self.label = value
+                self.left.remove(value)
+            else:
+                # This node has at most one non-None child, so we don't
+                # need to replace
+                child = self.left or self.right
+                if self.color == 1:
+                    # This node is red, and its child is black
+                    # The only way this happens to a node with one child
+                    # is if both children are None leaves.
+                    # We can just remove this node and call it a day.
+                    if self.is_left():
+                        self.parent.left = None
+                    else:
+                        self.parent.right = None
+                else:
+                    # The node is black
+                    if child is None:
+                        # This node and its child are black
+                        if self.parent is None:
+                            # The tree is now empty
+                            return RedBlackTree(None)
+                        else:
+                            self._remove_repair()
+                            if self.is_left():
+                                self.parent.left = None
+                            else:
+                                self.parent.right = None
+                            self.parent = None
+                    else:
+                        # This node is black and its child is red
+                        # Move the child node here and make it black
+                        self.label = child.label
+                        self.left = child.left
+                        self.right = child.right
+                        if self.left:
+                            self.left.parent = self
+                        if self.right:
+                            self.right.parent = self
+        elif self.label > label:
+            if self.left:
+                self.left.remove(label)
+        else:
+            if self.right:
+                self.right.remove(label)
+        return self.parent or self
+
+    def _remove_repair(self):
+        """Repair the coloring of the tree that may have been messed up."""
+        if color(self.sibling) == 1:
+            self.sibling.color = 0
+            self.parent.color = 1
+            if self.is_left():
+                self.parent.rotate_left()
+            else:
+                self.parent.rotate_right()
+        if (
+            color(self.parent) == 0
+            and color(self.sibling) == 0
+            and color(self.sibling.left) == 0
+            and color(self.sibling.right) == 0
+        ):
+            self.sibling.color = 1
+            self.parent._remove_repair()
+            return
+        if (
+            color(self.parent) == 1
+            and color(self.sibling) == 0
+            and color(self.sibling.left) == 0
+            and color(self.sibling.right) == 0
+        ):
+            self.sibling.color = 1
+            self.parent.color = 0
+            return
+        if (
+            self.is_left()
+            and color(self.sibling) == 0
+            and color(self.sibling.right) == 0
+            and color(self.sibling.left) == 1
+        ):
+            self.sibling.rotate_right()
+            self.sibling.color = 0
+            self.sibling.right.color = 1
+        if (
+            self.is_right()
+            and color(self.sibling) == 0
+            and color(self.sibling.right) == 1
+            and color(self.sibling.left) == 0
+        ):
+            self.sibling.rotate_left()
+            self.sibling.color = 0
+            self.sibling.left.color = 1
+        if (
+            self.is_left()
+            and color(self.sibling) == 0
+            and color(self.sibling.right) == 1
+        ):
+            self.parent.rotate_left()
+            self.grandparent.color = self.parent.color
+            self.parent.color = 0
+            self.parent.sibling.color = 0
+        if (
+            self.is_right()
+            and color(self.sibling) == 0
+            and color(self.sibling.left) == 1
+        ):
+            self.parent.rotate_right()
+            self.grandparent.color = self.parent.color
+            self.parent.color = 0
+            self.parent.sibling.color = 0
+
+    def check_color_properties(self):
+        """Check the coloring of the tree, and return True iff the tree
+        is colored in a way which matches these five properties:
+        (wording stolen from wikipedia article)
+         1. Each node is either red or black.
+         2. The root node is black.
+         3. All leaves are black.
+         4. If a node is red, then both its children are black.
+         5. Every path from any node to all of its descendent NIL nodes
+            has the same number of black nodes.
+        This function runs in O(n) time, because properties 4 and 5 take
+        that long to check.
+        """
+        # I assume property 1 to hold because there is nothing that can
+        # make the color be anything other than 0 or 1.
+
+        # Property 2
+        if self.color:
+            # The root was red
+            print("Property 2")
+            return False
+
+        # Property 3 does not need to be checked, because None is assumed
+        # to be black and is all the leaves.
+
+        # Property 4
+        if not self.check_coloring():
+            print("Property 4")
+            return False
+
+        # Property 5
+        if self.black_height() is None:
+            print("Property 5")
+            return False
+        # All properties were met
+        return True
+
+    def check_coloring(self):
+        """A helper function to recursively check Property 4 of a
+        Red-Black Tree. See check_color_properties for more info.
+        """
+        if self.color == 1:
+            if color(self.left) == 1 or color(self.right) == 1:
+                return False
+        if self.left and not self.left.check_coloring():
+            return False
+        if self.right and not self.right.check_coloring():
+            return False
+        return True
+
+    def black_height(self):
+        """Returns the number of black nodes from this node to the
+        leaves of the tree, or None if there isn't one such value (the
+        tree is color incorrectly).
+        """
+        if self is None:
+            # If we're already at a leaf, there is no path
+            return 1
+        left = RedBlackTree.black_height(self.left)
+        right = RedBlackTree.black_height(self.right)
+        if left is None or right is None:
+            # There are issues with coloring below children nodes
+            return None
+        if left != right:
+            # The two children have unequal depths
+            return None
+        # Return the black depth of children, plus one if this node is
+        # black
+        return left + (1 - self.color)
+
+    # Here are functions which are general to all binary search trees
+
+    def __contains__(self, label):
+        """Search through the tree for label, returning True iff it is
+        found somewhere in the tree.
+        Guaranteed to run in O(log(n)) time.
+        """
+        return self.search(label) is not None
+
+    def search(self, label):
+        """Search through the tree for label, returning its node if
+        it's found, and None otherwise.
+        This method is guaranteed to run in O(log(n)) time.
+        """
+        if self.label == label:
+            return self
+        elif label > self.label:
+            if self.right is None:
+                return None
+            else:
+                return self.right.search(label)
+        else:
+            if self.left is None:
+                return None
+            else:
+                return self.left.search(label)
+
+    def floor(self, label):
+        """Returns the largest element in this tree which is at most label.
+        This method is guaranteed to run in O(log(n)) time."""
+        if self.label == label:
+            return self.label
+        elif self.label > label:
+            if self.left:
+                return self.left.floor(label)
+            else:
+                return None
+        else:
+            if self.right:
+                attempt = self.right.floor(label)
+                if attempt is not None:
+                    return attempt
+            return self.label
+
+    def ceil(self, label):
+        """Returns the smallest element in this tree which is at least label.
+        This method is guaranteed to run in O(log(n)) time.
+        """
+        if self.label == label:
+            return self.label
+        elif self.label < label:
+            if self.right:
+                return self.right.ceil(label)
+            else:
+                return None
+        else:
+            if self.left:
+                attempt = self.left.ceil(label)
+                if attempt is not None:
+                    return attempt
+            return self.label
+
+    def get_max(self):
+        """Returns the largest element in this tree.
+        This method is guaranteed to run in O(log(n)) time.
+        """
+        if self.right:
+            # Go as far right as possible
+            return self.right.get_max()
+        else:
+            return self.label
+
+    def get_min(self):
+        """Returns the smallest element in this tree.
+        This method is guaranteed to run in O(log(n)) time.
+        """
+        if self.left:
+            # Go as far left as possible
+            return self.left.get_min()
+        else:
+            return self.label
+
+    @property
+    def grandparent(self):
+        """Get the current node's grandparent, or None if it doesn't exist."""
+        if self.parent is None:
+            return None
+        else:
+            return self.parent.parent
+
+    @property
+    def sibling(self):
+        """Get the current node's sibling, or None if it doesn't exist."""
+        if self.parent is None:
+            return None
+        elif self.parent.left is self:
+            return self.parent.right
+        else:
+            return self.parent.left
+
+    def is_left(self):
+        """Returns true iff this node is the left child of its parent."""
+        return self.parent and self.parent.left is self
+
+    def is_right(self):
+        """Returns true iff this node is the right child of its parent."""
+        return self.parent and self.parent.right is self
+
+    def __bool__(self):
+        return True
+
+    def __len__(self):
+        """
+        Return the number of nodes in this tree.
+        """
+        ln = 1
+        if self.left:
+            ln += len(self.left)
+        if self.right:
+            ln += len(self.right)
+        return ln
+
+    def preorder_traverse(self):
+        yield self.label
+        if self.left:
+            yield from self.left.preorder_traverse()
+        if self.right:
+            yield from self.right.preorder_traverse()
+
+    def inorder_traverse(self):
+        if self.left:
+            yield from self.left.inorder_traverse()
+        yield self.label
+        if self.right:
+            yield from self.right.inorder_traverse()
+
+    def postorder_traverse(self):
+        if self.left:
+            yield from self.left.postorder_traverse()
+        if self.right:
+            yield from self.right.postorder_traverse()
+        yield self.label
+
+    def __repr__(self):
+        from pprint import pformat
+
+        if self.left is None and self.right is None:
+            return "'%s %s'" % (self.label, (self.color and "red") or "blk")
+        return pformat(
+            {
+                "%s %s"
+                % (self.label, (self.color and "red") or "blk"): (self.left, self.right)
+            },
+            indent=1,
+        )
+
+    def __eq__(self, other):
+        """Test if two trees are equal."""
+        if self.label == other.label:
+            return self.left == other.left and self.right == other.right
+        else:
+            return False
+
+
+def color(node):
+    """Returns the color of a node, allowing for None leaves."""
+    if node is None:
+        return 0
+    else:
+        return node.color
+
+
+"""
+Code for testing the various
+functions of the red-black tree.
+"""
+
+
+def test_rotations():
+    """Test that the rotate_left and rotate_right functions work."""
+    # Make a tree to test on
+    tree = RedBlackTree(0)
+    tree.left = RedBlackTree(-10, parent=tree)
+    tree.right = RedBlackTree(10, parent=tree)
+    tree.left.left = RedBlackTree(-20, parent=tree.left)
+    tree.left.right = RedBlackTree(-5, parent=tree.left)
+    tree.right.left = RedBlackTree(5, parent=tree.right)
+    tree.right.right = RedBlackTree(20, parent=tree.right)
+    # Make the right rotation
+    left_rot = RedBlackTree(10)
+    left_rot.left = RedBlackTree(0, parent=left_rot)
+    left_rot.left.left = RedBlackTree(-10, parent=left_rot.left)
+    left_rot.left.right = RedBlackTree(5, parent=left_rot.left)
+    left_rot.left.left.left = RedBlackTree(-20, parent=left_rot.left.left)
+    left_rot.left.left.right = RedBlackTree(-5, parent=left_rot.left.left)
+    left_rot.right = RedBlackTree(20, parent=left_rot)
+    tree = tree.rotate_left()
+    if tree != left_rot:
+        return False
+    tree = tree.rotate_right()
+    tree = tree.rotate_right()
+    # Make the left rotation
+    right_rot = RedBlackTree(-10)
+    right_rot.left = RedBlackTree(-20, parent=right_rot)
+    right_rot.right = RedBlackTree(0, parent=right_rot)
+    right_rot.right.left = RedBlackTree(-5, parent=right_rot.right)
+    right_rot.right.right = RedBlackTree(10, parent=right_rot.right)
+    right_rot.right.right.left = RedBlackTree(5, parent=right_rot.right.right)
+    right_rot.right.right.right = RedBlackTree(20, parent=right_rot.right.right)
+    if tree != right_rot:
+        return False
+    return True
+
+
+def test_insertion_speed():
+    """Test that the tree balances inserts to O(log(n)) by doing a lot
+    of them.
+    """
+    tree = RedBlackTree(-1)
+    for i in range(300000):
+        tree = tree.insert(i)
+    return True
+
+
+def test_insert():
+    """Test the insert() method of the tree correctly balances, colors,
+    and inserts.
+    """
+    tree = RedBlackTree(0)
+    tree.insert(8)
+    tree.insert(-8)
+    tree.insert(4)
+    tree.insert(12)
+    tree.insert(10)
+    tree.insert(11)
+    ans = RedBlackTree(0, 0)
+    ans.left = RedBlackTree(-8, 0, ans)
+    ans.right = RedBlackTree(8, 1, ans)
+    ans.right.left = RedBlackTree(4, 0, ans.right)
+    ans.right.right = RedBlackTree(11, 0, ans.right)
+    ans.right.right.left = RedBlackTree(10, 1, ans.right.right)
+    ans.right.right.right = RedBlackTree(12, 1, ans.right.right)
+    return tree == ans
+
+
+def test_insert_and_search():
+    """Tests searching through the tree for values."""
+    tree = RedBlackTree(0)
+    tree.insert(8)
+    tree.insert(-8)
+    tree.insert(4)
+    tree.insert(12)
+    tree.insert(10)
+    tree.insert(11)
+    if 5 in tree or -6 in tree or -10 in tree or 13 in tree:
+        # Found something not in there
+        return False
+    if not (11 in tree and 12 in tree and -8 in tree and 0 in tree):
+        # Didn't find something in there
+        return False
+    return True
+
+
+def test_insert_delete():
+    """Test the insert() and delete() method of the tree, verifying the
+    insertion and removal of elements, and the balancing of the tree.
+    """
+    tree = RedBlackTree(0)
+    tree = tree.insert(-12)
+    tree = tree.insert(8)
+    tree = tree.insert(-8)
+    tree = tree.insert(15)
+    tree = tree.insert(4)
+    tree = tree.insert(12)
+    tree = tree.insert(10)
+    tree = tree.insert(9)
+    tree = tree.insert(11)
+    tree = tree.remove(15)
+    tree = tree.remove(-12)
+    tree = tree.remove(9)
+    if not tree.check_color_properties():
+        return False
+    if list(tree.inorder_traverse()) != [-8, 0, 4, 8, 10, 11, 12]:
+        return False
+    return True
+
+
+def test_floor_ceil():
+    """Tests the floor and ceiling functions in the tree."""
+    tree = RedBlackTree(0)
+    tree.insert(-16)
+    tree.insert(16)
+    tree.insert(8)
+    tree.insert(24)
+    tree.insert(20)
+    tree.insert(22)
+    tuples = [(-20, None, -16), (-10, -16, 0), (8, 8, 8), (50, 24, None)]
+    for val, floor, ceil in tuples:
+        if tree.floor(val) != floor or tree.ceil(val) != ceil:
+            return False
+    return True
+
+
+def test_min_max():
+    """Tests the min and max functions in the tree."""
+    tree = RedBlackTree(0)
+    tree.insert(-16)
+    tree.insert(16)
+    tree.insert(8)
+    tree.insert(24)
+    tree.insert(20)
+    tree.insert(22)
+    if tree.get_max() != 22 or tree.get_min() != -16:
+        return False
+    return True
+
+
+def test_tree_traversal():
+    """Tests the three different tree traversal functions."""
+    tree = RedBlackTree(0)
+    tree = tree.insert(-16)
+    tree.insert(16)
+    tree.insert(8)
+    tree.insert(24)
+    tree.insert(20)
+    tree.insert(22)
+    if list(tree.inorder_traverse()) != [-16, 0, 8, 16, 20, 22, 24]:
+        return False
+    if list(tree.preorder_traverse()) != [0, -16, 16, 8, 22, 20, 24]:
+        return False
+    if list(tree.postorder_traverse()) != [-16, 8, 20, 24, 22, 16, 0]:
+        return False
+    return True
+
+
+def test_tree_chaining():
+    """Tests the three different tree chaning functions."""
+    tree = RedBlackTree(0)
+    tree = tree.insert(-16).insert(16).insert(8).insert(24).insert(20).insert(22)
+    if list(tree.inorder_traverse()) != [-16, 0, 8, 16, 20, 22, 24]:
+        return False
+    if list(tree.preorder_traverse()) != [0, -16, 16, 8, 22, 20, 24]:
+        return False
+    if list(tree.postorder_traverse()) != [-16, 8, 20, 24, 22, 16, 0]:
+        return False
+    return True
+
+
+def print_results(msg: str, passes: bool) -> None:
+    print(str(msg), "works!" if passes else "doesn't work :(")
+
+
+def pytests():
+    assert test_rotations()
+    assert test_insert()
+    assert test_insert_and_search()
+    assert test_insert_delete()
+    assert test_floor_ceil()
+    assert test_tree_traversal()
+    assert test_tree_chaining()
+
+
+def main():
+    """
+    >>> pytests()
+    """
+    print_results("Rotating right and left", test_rotations())
+
+    print_results("Inserting", test_insert())
+
+    print_results("Searching", test_insert_and_search())
+
+    print_results("Deleting", test_insert_delete())
+
+    print_results("Floor and ceil", test_floor_ceil())
+
+    print_results("Tree traversal", test_tree_traversal())
+
+    print_results("Tree traversal", test_tree_chaining())
+
+
+    print("Testing tree balancing...")
+    print("This should only be a few seconds.")
+    test_insertion_speed()
+    print("Done!")
+
+
+if __name__ == "__main__":
+    main()