feat: Add visualizing code blocks based on the pythontutor (#1029)

* Update copyright

* Update the Python code

* Fix the code comments in ArrayBinaryTree

* Fix the code comments in ArrayBinaryTree

* Roll back time_comlexity.py

* Add the visualizing code(pythontutor) blocks to the chapter complexity, data structure, array and linked list, stack and queue, hash table, and backtracking

* Fix the code comments

docs/chapter_array_and_linkedlist/array.md

@@ -113,6 +113,10 @@
     var nums = [_]i32{ 1, 3, 2, 5, 4 };
     ```
 
+??? pythontutor "可视化运行"
+
+    <iframe width="800" height="600" frameborder="0" src="https://pythontutor.com/iframe-embed.html#code=%23%20%E5%88%9D%E5%A7%8B%E5%8C%96%E6%95%B0%E7%BB%84%0Aarr%20%3D%20%5B0%5D%20*%205%20%20%23%20%5B%200,%200,%200,%200,%200%20%5D%0Anums%20%3D%20%5B1,%203,%202,%205,%204%5D&codeDivHeight=370&codeDivWidth=300&cumulative=false&curInstr=0&heapPrimitives=nevernest&origin=opt-frontend.js&py=311&rawInputLstJSON=%5B%5D&textReferences=false"> </iframe>
+
 ### 访问元素
 
 数组元素被存储在连续的内存空间中，这意味着计算数组元素的内存地址非常容易。给定数组内存地址（首元素内存地址）和某个元素的索引，我们可以使用下图所示的公式计算得到该元素的内存地址，从而直接访问该元素。