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BST and RSA doctest (#8693)
* rsa key doctest * move doctest to module docstring * all tests to doctest * moved is_right to property * is right test * fixed rsa doctest import * Test error when deleting non-existing element * fixing ruff EM102 * convert property 'is_right' to one-liner Also use 'is' instead of '==' Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com> * child instead of children Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com> * remove type hint * Update data_structures/binary_tree/binary_search_tree.py --------- Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>
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@ -2,8 +2,7 @@ import os
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import random
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import sys
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from . import cryptomath_module as cryptoMath # noqa: N812
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from . import rabin_miller as rabinMiller # noqa: N812
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from . import cryptomath_module, rabin_miller
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def main() -> None:
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@ -13,20 +12,26 @@ def main() -> None:
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def generate_key(key_size: int) -> tuple[tuple[int, int], tuple[int, int]]:
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print("Generating prime p...")
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p = rabinMiller.generate_large_prime(key_size)
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print("Generating prime q...")
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q = rabinMiller.generate_large_prime(key_size)
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"""
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>>> random.seed(0) # for repeatability
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>>> public_key, private_key = generate_key(8)
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>>> public_key
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(26569, 239)
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>>> private_key
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(26569, 2855)
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"""
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p = rabin_miller.generate_large_prime(key_size)
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q = rabin_miller.generate_large_prime(key_size)
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n = p * q
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print("Generating e that is relatively prime to (p - 1) * (q - 1)...")
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# Generate e that is relatively prime to (p - 1) * (q - 1)
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while True:
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e = random.randrange(2 ** (key_size - 1), 2 ** (key_size))
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if cryptoMath.gcd(e, (p - 1) * (q - 1)) == 1:
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if cryptomath_module.gcd(e, (p - 1) * (q - 1)) == 1:
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break
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print("Calculating d that is mod inverse of e...")
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d = cryptoMath.find_mod_inverse(e, (p - 1) * (q - 1))
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# Calculate d that is mod inverse of e
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d = cryptomath_module.find_mod_inverse(e, (p - 1) * (q - 1))
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public_key = (n, e)
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private_key = (n, d)
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@ -1,5 +1,62 @@
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"""
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r"""
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A binary search Tree
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Example
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8
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/ \
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3 10
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/ \ \
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1 6 14
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/ \ /
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4 7 13
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>>> t = BinarySearchTree()
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>>> t.insert(8, 3, 6, 1, 10, 14, 13, 4, 7)
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>>> print(" ".join(repr(i.value) for i in t.traversal_tree()))
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8 3 1 6 4 7 10 14 13
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>>> print(" ".join(repr(i.value) for i in t.traversal_tree(postorder)))
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1 4 7 6 3 13 14 10 8
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>>> t.remove(20)
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Traceback (most recent call last):
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...
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ValueError: Value 20 not found
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>>> BinarySearchTree().search(6)
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Traceback (most recent call last):
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...
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IndexError: Warning: Tree is empty! please use another.
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Other example:
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>>> testlist = (8, 3, 6, 1, 10, 14, 13, 4, 7)
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>>> t = BinarySearchTree()
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>>> for i in testlist:
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... t.insert(i)
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Prints all the elements of the list in order traversal
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>>> print(t)
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{'8': ({'3': (1, {'6': (4, 7)})}, {'10': (None, {'14': (13, None)})})}
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Test existence
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>>> t.search(6) is not None
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True
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>>> t.search(-1) is not None
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False
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>>> t.search(6).is_right
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True
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>>> t.search(1).is_right
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False
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>>> t.get_max().value
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14
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>>> t.get_min().value
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1
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>>> t.empty()
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False
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>>> for i in testlist:
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... t.remove(i)
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>>> t.empty()
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True
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"""
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from collections.abc import Iterable
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@ -20,6 +77,10 @@ class Node:
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return str(self.value)
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return pformat({f"{self.value}": (self.left, self.right)}, indent=1)
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@property
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def is_right(self) -> bool:
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return self.parent is not None and self is self.parent.right
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class BinarySearchTree:
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def __init__(self, root: Node | None = None):
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@ -35,18 +96,13 @@ class BinarySearchTree:
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if new_children is not None: # reset its kids
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new_children.parent = node.parent
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if node.parent is not None: # reset its parent
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if self.is_right(node): # If it is the right children
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if node.is_right: # If it is the right child
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node.parent.right = new_children
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else:
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node.parent.left = new_children
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else:
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self.root = new_children
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def is_right(self, node: Node) -> bool:
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if node.parent and node.parent.right:
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return node == node.parent.right
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return False
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def empty(self) -> bool:
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return self.root is None
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@ -119,8 +175,12 @@ class BinarySearchTree:
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return node
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def remove(self, value: int) -> None:
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node = self.search(value) # Look for the node with that label
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if node is not None:
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# Look for the node with that label
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node = self.search(value)
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if node is None:
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msg = f"Value {value} not found"
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raise ValueError(msg)
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if node.left is None and node.right is None: # If it has no children
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self.__reassign_nodes(node, None)
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elif node.left is None: # Has only right children
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@ -128,12 +188,12 @@ class BinarySearchTree:
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elif node.right is None: # Has only left children
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self.__reassign_nodes(node, node.left)
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else:
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tmp_node = self.get_max(
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predecessor = self.get_max(
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node.left
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) # Gets the max value of the left branch
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self.remove(tmp_node.value) # type: ignore
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self.remove(predecessor.value) # type: ignore
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node.value = (
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tmp_node.value # type: ignore
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predecessor.value # type: ignore
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) # Assigns the value to the node to delete and keep tree structure
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def preorder_traverse(self, node: Node | None) -> Iterable:
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@ -177,55 +237,6 @@ def postorder(curr_node: Node | None) -> list[Node]:
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return node_list
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def binary_search_tree() -> None:
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r"""
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Example
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8
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/ \
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3 10
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/ \ \
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1 6 14
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/ \ /
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4 7 13
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>>> t = BinarySearchTree()
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>>> t.insert(8, 3, 6, 1, 10, 14, 13, 4, 7)
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>>> print(" ".join(repr(i.value) for i in t.traversal_tree()))
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8 3 1 6 4 7 10 14 13
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>>> print(" ".join(repr(i.value) for i in t.traversal_tree(postorder)))
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1 4 7 6 3 13 14 10 8
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>>> BinarySearchTree().search(6)
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Traceback (most recent call last):
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...
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IndexError: Warning: Tree is empty! please use another.
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"""
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testlist = (8, 3, 6, 1, 10, 14, 13, 4, 7)
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t = BinarySearchTree()
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for i in testlist:
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t.insert(i)
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# Prints all the elements of the list in order traversal
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print(t)
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if t.search(6) is not None:
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print("The value 6 exists")
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else:
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print("The value 6 doesn't exist")
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if t.search(-1) is not None:
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print("The value -1 exists")
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else:
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print("The value -1 doesn't exist")
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if not t.empty():
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print("Max Value: ", t.get_max().value) # type: ignore
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print("Min Value: ", t.get_min().value) # type: ignore
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for i in testlist:
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t.remove(i)
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print(t)
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if __name__ == "__main__":
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import doctest
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