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Added doctest to binary_search_tree.py (#11141)
* Added doctest to binary_search_tree.py * Update binary_search_tree.py * Update binary_search_tree.py --------- Co-authored-by: Christian Clauss <cclauss@me.com>
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@ -10,8 +10,7 @@ Example
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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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>>> t = BinarySearchTree().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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@ -40,7 +39,16 @@ 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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... t.insert(i) # doctest: +ELLIPSIS
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BinarySearchTree(root=8)
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BinarySearchTree(root={'8': (3, None)})
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BinarySearchTree(root={'8': ({'3': (None, 6)}, None)})
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BinarySearchTree(root={'8': ({'3': (1, 6)}, None)})
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BinarySearchTree(root={'8': ({'3': (1, 6)}, 10)})
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BinarySearchTree(root={'8': ({'3': (1, 6)}, {'10': (None, 14)})})
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BinarySearchTree(root={'8': ({'3': (1, 6)}, {'10': (None, {'14': (13, None)})})})
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BinarySearchTree(root={'8': ({'3': (1, {'6': (4, None)})}, {'10': (None, {'14': ...
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BinarySearchTree(root={'8': ({'3': (1, {'6': (4, 7)})}, {'10': (None, {'14': (13, ...
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Prints all the elements of the list in order traversal
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>>> print(t)
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@ -84,7 +92,7 @@ from __future__ import annotations
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from collections.abc import Iterable, Iterator
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from dataclasses import dataclass
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from typing import Any
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from typing import Any, Self
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@dataclass
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@ -145,7 +153,18 @@ class BinarySearchTree:
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self.root = new_children
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def empty(self) -> bool:
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return self.root is None
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"""
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Returns True if the tree does not have any element(s).
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False if the tree has element(s).
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>>> BinarySearchTree().empty()
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True
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>>> BinarySearchTree().insert(1).empty()
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False
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>>> BinarySearchTree().insert(8, 3, 6, 1, 10, 14, 13, 4, 7).empty()
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False
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"""
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return not self.root
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def __insert(self, value) -> None:
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"""
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@ -173,9 +192,10 @@ class BinarySearchTree:
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parent_node = parent_node.right
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new_node.parent = parent_node
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def insert(self, *values) -> None:
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def insert(self, *values) -> Self:
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for value in values:
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self.__insert(value)
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return self
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def search(self, value) -> Node | None:
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if self.empty():
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