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@ -236,8 +236,8 @@
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* [Double Ended Queue](data_structures/queue/double_ended_queue.py)
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* [Linked Queue](data_structures/queue/linked_queue.py)
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* [Priority Queue Using List](data_structures/queue/priority_queue_using_list.py)
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* [Queue By List](data_structures/queue/queue_by_list.py)
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* [Queue By Two Stacks](data_structures/queue/queue_by_two_stacks.py)
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* [Queue On List](data_structures/queue/queue_on_list.py)
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* [Queue On Pseudo Stack](data_structures/queue/queue_on_pseudo_stack.py)
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* Stacks
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* [Balanced Parentheses](data_structures/stacks/balanced_parentheses.py)
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@ -10,7 +10,7 @@ Python:
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- 3.5
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Usage:
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- $python3 game_o_life <canvas_size:int>
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- $python3 game_of_life <canvas_size:int>
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Game-Of-Life Rules:
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@ -52,7 +52,8 @@ def seed(canvas: list[list[bool]]) -> None:
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def run(canvas: list[list[bool]]) -> list[list[bool]]:
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"""This function runs the rules of game through all points, and changes their
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"""
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This function runs the rules of game through all points, and changes their
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status accordingly.(in the same canvas)
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@Args:
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--
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@ -60,7 +61,7 @@ def run(canvas: list[list[bool]]) -> list[list[bool]]:
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@returns:
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--
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None
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canvas of population after one step
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"""
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current_canvas = np.array(canvas)
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next_gen_canvas = np.array(create_canvas(current_canvas.shape[0]))
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@ -70,10 +71,7 @@ def run(canvas: list[list[bool]]) -> list[list[bool]]:
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pt, current_canvas[r - 1 : r + 2, c - 1 : c + 2]
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)
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current_canvas = next_gen_canvas
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del next_gen_canvas # cleaning memory as we move on.
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return_canvas: list[list[bool]] = current_canvas.tolist()
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return return_canvas
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return next_gen_canvas.tolist()
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def __judge_point(pt: bool, neighbours: list[list[bool]]) -> bool:
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@ -7,7 +7,8 @@ class SegmentTree:
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self.st = [0] * (
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4 * self.N
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) # approximate the overall size of segment tree with array N
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self.build(1, 0, self.N - 1)
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if self.N:
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self.build(1, 0, self.N - 1)
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def left(self, idx):
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return idx * 2
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@ -20,7 +20,7 @@ def check_circuit_or_path(graph, max_node):
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odd_degree_nodes = 0
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odd_node = -1
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for i in range(max_node):
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if i not in graph.keys():
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if i not in graph:
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continue
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if len(graph[i]) % 2 == 1:
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odd_degree_nodes += 1
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@ -60,7 +60,7 @@ def newtons_second_law_of_motion(mass: float, acceleration: float) -> float:
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>>> newtons_second_law_of_motion(2.0, 1)
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2.0
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"""
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force = float()
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force = 0.0
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try:
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force = mass * acceleration
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except Exception:
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@ -1,4 +1,7 @@
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def bubble_sort(collection):
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from typing import Any
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def bubble_sort(collection: list[Any]) -> list[Any]:
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"""Pure implementation of bubble sort algorithm in Python
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:param collection: some mutable ordered collection with heterogeneous
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@ -28,9 +31,9 @@ def bubble_sort(collection):
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True
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"""
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length = len(collection)
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for i in range(length - 1):
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for i in reversed(range(length)):
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swapped = False
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for j in range(length - 1 - i):
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for j in range(i):
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if collection[j] > collection[j + 1]:
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swapped = True
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collection[j], collection[j + 1] = collection[j + 1], collection[j]
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