print reverse: A LinkedList with a tail pointer (#9875)

* print reverse: A LinkedList with a tail pointer

* updating DIRECTORY.md

---------

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Christian Clauss 2023-10-05 23:55:13 +02:00 committed by GitHub
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@ -50,6 +50,7 @@
* [Index Of Rightmost Set Bit](bit_manipulation/index_of_rightmost_set_bit.py) * [Index Of Rightmost Set Bit](bit_manipulation/index_of_rightmost_set_bit.py)
* [Is Even](bit_manipulation/is_even.py) * [Is Even](bit_manipulation/is_even.py)
* [Is Power Of Two](bit_manipulation/is_power_of_two.py) * [Is Power Of Two](bit_manipulation/is_power_of_two.py)
* [Largest Pow Of Two Le Num](bit_manipulation/largest_pow_of_two_le_num.py)
* [Missing Number](bit_manipulation/missing_number.py) * [Missing Number](bit_manipulation/missing_number.py)
* [Numbers Different Signs](bit_manipulation/numbers_different_signs.py) * [Numbers Different Signs](bit_manipulation/numbers_different_signs.py)
* [Reverse Bits](bit_manipulation/reverse_bits.py) * [Reverse Bits](bit_manipulation/reverse_bits.py)
@ -322,6 +323,7 @@
* [Integer Partition](dynamic_programming/integer_partition.py) * [Integer Partition](dynamic_programming/integer_partition.py)
* [Iterating Through Submasks](dynamic_programming/iterating_through_submasks.py) * [Iterating Through Submasks](dynamic_programming/iterating_through_submasks.py)
* [Knapsack](dynamic_programming/knapsack.py) * [Knapsack](dynamic_programming/knapsack.py)
* [Largest Divisible Subset](dynamic_programming/largest_divisible_subset.py)
* [Longest Common Subsequence](dynamic_programming/longest_common_subsequence.py) * [Longest Common Subsequence](dynamic_programming/longest_common_subsequence.py)
* [Longest Common Substring](dynamic_programming/longest_common_substring.py) * [Longest Common Substring](dynamic_programming/longest_common_substring.py)
* [Longest Increasing Subsequence](dynamic_programming/longest_increasing_subsequence.py) * [Longest Increasing Subsequence](dynamic_programming/longest_increasing_subsequence.py)
@ -460,6 +462,7 @@
## Greedy Methods ## Greedy Methods
* [Fractional Knapsack](greedy_methods/fractional_knapsack.py) * [Fractional Knapsack](greedy_methods/fractional_knapsack.py)
* [Fractional Knapsack 2](greedy_methods/fractional_knapsack_2.py) * [Fractional Knapsack 2](greedy_methods/fractional_knapsack_2.py)
* [Gas Station](greedy_methods/gas_station.py)
* [Minimum Waiting Time](greedy_methods/minimum_waiting_time.py) * [Minimum Waiting Time](greedy_methods/minimum_waiting_time.py)
* [Optimal Merge Pattern](greedy_methods/optimal_merge_pattern.py) * [Optimal Merge Pattern](greedy_methods/optimal_merge_pattern.py)
@ -542,6 +545,7 @@
* [Average Median](maths/average_median.py) * [Average Median](maths/average_median.py)
* [Average Mode](maths/average_mode.py) * [Average Mode](maths/average_mode.py)
* [Bailey Borwein Plouffe](maths/bailey_borwein_plouffe.py) * [Bailey Borwein Plouffe](maths/bailey_borwein_plouffe.py)
* [Base Neg2 Conversion](maths/base_neg2_conversion.py)
* [Basic Maths](maths/basic_maths.py) * [Basic Maths](maths/basic_maths.py)
* [Bell Numbers](maths/bell_numbers.py) * [Bell Numbers](maths/bell_numbers.py)
* [Binary Exp Mod](maths/binary_exp_mod.py) * [Binary Exp Mod](maths/binary_exp_mod.py)
@ -657,7 +661,6 @@
* [P Series](maths/series/p_series.py) * [P Series](maths/series/p_series.py)
* [Sieve Of Eratosthenes](maths/sieve_of_eratosthenes.py) * [Sieve Of Eratosthenes](maths/sieve_of_eratosthenes.py)
* [Sigmoid](maths/sigmoid.py) * [Sigmoid](maths/sigmoid.py)
* [Sigmoid Linear Unit](maths/sigmoid_linear_unit.py)
* [Signum](maths/signum.py) * [Signum](maths/signum.py)
* [Simpson Rule](maths/simpson_rule.py) * [Simpson Rule](maths/simpson_rule.py)
* [Simultaneous Linear Equation Solver](maths/simultaneous_linear_equation_solver.py) * [Simultaneous Linear Equation Solver](maths/simultaneous_linear_equation_solver.py)
@ -716,6 +719,7 @@
* [Leaky Rectified Linear Unit](neural_network/activation_functions/leaky_rectified_linear_unit.py) * [Leaky Rectified Linear Unit](neural_network/activation_functions/leaky_rectified_linear_unit.py)
* [Rectified Linear Unit](neural_network/activation_functions/rectified_linear_unit.py) * [Rectified Linear Unit](neural_network/activation_functions/rectified_linear_unit.py)
* [Scaled Exponential Linear Unit](neural_network/activation_functions/scaled_exponential_linear_unit.py) * [Scaled Exponential Linear Unit](neural_network/activation_functions/scaled_exponential_linear_unit.py)
* [Sigmoid Linear Unit](neural_network/activation_functions/sigmoid_linear_unit.py)
* [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py) * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
* [Convolution Neural Network](neural_network/convolution_neural_network.py) * [Convolution Neural Network](neural_network/convolution_neural_network.py)
* [Perceptron](neural_network/perceptron.py) * [Perceptron](neural_network/perceptron.py)
@ -1180,6 +1184,7 @@
* [Naive String Search](strings/naive_string_search.py) * [Naive String Search](strings/naive_string_search.py)
* [Ngram](strings/ngram.py) * [Ngram](strings/ngram.py)
* [Palindrome](strings/palindrome.py) * [Palindrome](strings/palindrome.py)
* [Pig Latin](strings/pig_latin.py)
* [Prefix Function](strings/prefix_function.py) * [Prefix Function](strings/prefix_function.py)
* [Rabin Karp](strings/rabin_karp.py) * [Rabin Karp](strings/rabin_karp.py)
* [Remove Duplicate](strings/remove_duplicate.py) * [Remove Duplicate](strings/remove_duplicate.py)

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@ -1,22 +1,91 @@
from __future__ import annotations from __future__ import annotations
from collections.abc import Iterable, Iterator
from dataclasses import dataclass
@dataclass
class Node: class Node:
def __init__(self, data=None): data: int
self.data = data next_node: Node | None = None
self.next = None
def __repr__(self):
"""Returns a visual representation of the node and all its following nodes."""
string_rep = []
temp = self
while temp:
string_rep.append(f"{temp.data}")
temp = temp.next
return "->".join(string_rep)
def make_linked_list(elements_list: list): class LinkedList:
"""A class to represent a Linked List.
Use a tail pointer to speed up the append() operation.
"""
def __init__(self) -> None:
"""Initialize a LinkedList with the head node set to None.
>>> linked_list = LinkedList()
>>> (linked_list.head, linked_list.tail)
(None, None)
"""
self.head: Node | None = None
self.tail: Node | None = None # Speeds up the append() operation
def __iter__(self) -> Iterator[int]:
"""Iterate the LinkedList yielding each Node's data.
>>> linked_list = LinkedList()
>>> items = (1, 2, 3, 4, 5)
>>> linked_list.extend(items)
>>> tuple(linked_list) == items
True
"""
node = self.head
while node:
yield node.data
node = node.next_node
def __repr__(self) -> str:
"""Returns a string representation of the LinkedList.
>>> linked_list = LinkedList()
>>> str(linked_list)
''
>>> linked_list.append(1)
>>> str(linked_list)
'1'
>>> linked_list.extend([2, 3, 4, 5])
>>> str(linked_list)
'1 -> 2 -> 3 -> 4 -> 5'
"""
return " -> ".join([str(data) for data in self])
def append(self, data: int) -> None:
"""Appends a new node with the given data to the end of the LinkedList.
>>> linked_list = LinkedList()
>>> str(linked_list)
''
>>> linked_list.append(1)
>>> str(linked_list)
'1'
>>> linked_list.append(2)
>>> str(linked_list)
'1 -> 2'
"""
if self.tail:
self.tail.next_node = self.tail = Node(data)
else:
self.head = self.tail = Node(data)
def extend(self, items: Iterable[int]) -> None:
"""Appends each item to the end of the LinkedList.
>>> linked_list = LinkedList()
>>> linked_list.extend([])
>>> str(linked_list)
''
>>> linked_list.extend([1, 2])
>>> str(linked_list)
'1 -> 2'
>>> linked_list.extend([3,4])
>>> str(linked_list)
'1 -> 2 -> 3 -> 4'
"""
for item in items:
self.append(item)
def make_linked_list(elements_list: Iterable[int]) -> LinkedList:
"""Creates a Linked List from the elements of the given sequence """Creates a Linked List from the elements of the given sequence
(list/tuple) and returns the head of the Linked List. (list/tuple) and returns the head of the Linked List.
>>> make_linked_list([]) >>> make_linked_list([])
@ -28,43 +97,30 @@ def make_linked_list(elements_list: list):
>>> make_linked_list(['abc']) >>> make_linked_list(['abc'])
abc abc
>>> make_linked_list([7, 25]) >>> make_linked_list([7, 25])
7->25 7 -> 25
""" """
if not elements_list: if not elements_list:
raise Exception("The Elements List is empty") raise Exception("The Elements List is empty")
current = head = Node(elements_list[0]) linked_list = LinkedList()
for i in range(1, len(elements_list)): linked_list.extend(elements_list)
current.next = Node(elements_list[i]) return linked_list
current = current.next
return head
def print_reverse(head_node: Node) -> None: def in_reverse(linked_list: LinkedList) -> str:
"""Prints the elements of the given Linked List in reverse order """Prints the elements of the given Linked List in reverse order
>>> print_reverse([]) >>> in_reverse(LinkedList())
>>> linked_list = make_linked_list([69, 88, 73]) ''
>>> print_reverse(linked_list) >>> in_reverse(make_linked_list([69, 88, 73]))
73 '73 <- 88 <- 69'
88
69
""" """
if head_node is not None and isinstance(head_node, Node): return " <- ".join(str(line) for line in reversed(tuple(linked_list)))
print_reverse(head_node.next)
print(head_node.data)
def main():
from doctest import testmod
testmod()
linked_list = make_linked_list([14, 52, 14, 12, 43])
print("Linked List:")
print(linked_list)
print("Elements in Reverse:")
print_reverse(linked_list)
if __name__ == "__main__": if __name__ == "__main__":
main() from doctest import testmod
testmod()
linked_list = make_linked_list((14, 52, 14, 12, 43))
print(f"Linked List: {linked_list}")
print(f"Reverse List: {in_reverse(linked_list)}")