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Talk:Binary search tree/GA2

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1803:, and above. All those points were already addressed in the current revision of the article, maybe you should re-read the article. As a guy who literally works with modern C++17 systems at production for a living, the code you've written above is poor and hardly has anything to do with the article - seems to be a code that a high-school student who just finished with basic C++ tutorials would write. What is a BST "driver" doing there? Clearly you're not trying to implement the driver pattern. And, what do classes like "PERSON" has anything to do with an encyclopedia article? I know C++, and that's why I'm avoiding it. Knowledge articles are written in a language-agnostic way, not in 42: 246:(BST) into my code library. However, even though I was exposed to BSTs in two courses (Graph Theory and Data Structures), this article is over my head. It's probably technically correct, but it needs to be heavily expanded. For example, I referred back to my Data Structures textbook to realize that BSTs are an extension of 1591:
Regarding the existing pseudo code: Missing is the corresponding data structure. A BST is an abstract datatype. The datatypes in the data structure are equally important to the pseudo code. Finally, the article should explain early on that storing and retrieving the key is not the underlying problem
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Well written: Yes, the prose is clear and concise. It complies with the manual of style guidelines for lead sections, layout, words to watch, fiction, and list incorporation. However, it falls short of being understandable to an appropriately broad audience. Instead, it seems understandable only to
1885:. It says, "Stated simply, editors should always treat each other with consideration and respect. They should focus on improving the encyclopedia while maintaining a pleasant editing environment by behaving politely, calmly and reasonably, even during heated debates." Exit — stage right. 1572:
Fair enough. My opinion was worded, "Instead of pseudo code, the article should have a functioning implementation." However, lacking a functioning implementation was not the cause for my rejection. Instead, the cause of my rejection was because it wasn't
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Regarding "You clearly don't know what you're doing": Please avoid personal attacks. Additionally, I do know what I am doing. I'm advising the editors of this article to expand the audience set. The current version of the article assumes the reader
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I agree that a C++ implementation would not be a good idea here. Even if there were a need for a language-specific implementation (which I am not seeing), one that's spread across eight files including a makefile would not be the right choice.
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Because every BST component is an abstract construct, they need to be converted into visuals. (On the other hand, concrete constructs, like the components of bridges, have innate visuals.) The textbook I'm using to justify this review uses a
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use a language-specific implementation, especially a C++ one. I'm sorry, but I don't think you're well-versed with our policies on computer science (algorithms and data structures) to give a review. We don't host code for readers to
1577:. My suggestion for improvement was to build the subject matter from scratch. Don't rely on the reader to already know about trees, binary trees, and the need for computers to search for data blocks quickly. 320:
those who already know Binary Search Trees very well. I only sort-of know about BSTs, and it's over my head. The article should build a BST from scratch and not rely on the reader's prior knowledge.
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because I can't understand that either. Instead, it should fully define in as simple of terms as possible all the jargon. This is not an easy task. This wikipedia article explains the goal:
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Instead of pseudo code, the article should have a functioning implementation. The reader then could copy/paste into a compiler to run. Who could claim that's not good? Here's a start:
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If an additional vertex encounters a parent with only a left child, and if its key is greater than the left child’s key, then the additional vertex will become the right child.
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New verticies are inserted into the tree such that 1) the keys of all left subtrees are smaller than this key and 2) the keys of all right subtrees are larger than this key.
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and source code. Work on other areas of Knowledge until you're acquainted with the cited policies. If you continue this disruptive behavior, as you did for the 3rd time
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If an additional vertex encounters a parent with both children, and if its key is greater than the parent’s key, then the additional vertex will join the right subtree.
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If an additional vertex encounters a parent with both children, and if its key is less than the parent’s key, then the additional vertex will join the left subtree.
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Thanks for taking this, if there are any improvements that you want to be made, please list them out. I will copy edit and make those changes ASAP. Regards,
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I stand by my assessment. If C++ is not desirable, then a pseudo language will suffice. However, the syntax should support pointers as they are needed for
126: 262:) to write at the 8th grade level. I'm also motivated by "Up Goer Five". It's an attempt to explain rocket science at the Elementary school level. See 250:. Well, the first paragraph after the lead should be an explanation of binary trees and how this article extends them. However, it shouldn't read like 1565: 122: 52: 107: 99: 438:
Of course, this list needs to be formed into an essay. If each major step had a representative diagram, then that would be better.
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Once this foundation is established, then the article's remaining information will resonate. Final assessment: failed. Submitted,
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Hello Ewdqwdq. Who are you? Your username resembles a password, and your account is only 12 days old. Please confirm you're not a
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If an additional vertex’s key is greater than the parent vertex, then the new vertex must be somplace on the right subtree.
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If an additional vertex’s key is less than the parent vertex, then the new vertex must be someplace on the left subtree.
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Regarding "Please refrain from further disruptive editing.": My words are polite, and my opinions are in good faith.
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to be solved. The underlying problem to be solved is to quickly access the key's data block. After all, a BST is a
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as its BST visual. It uses nouns like "parent" and "child". It also uses tree components like "branch" and "leaf".
1605: 1586: 1840:, you do not have to review this article. As I already said, you lack the understanding of our policies guiding 1925: 1890: 1782: 1679: 1615: 1601: 1582: 1500: 271: 212: 1531: 416:
Each additional vertex inserted into the tree must have its key compared with the existing keys in the tree.
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If an additional vertex encounters a leaf, then the additional vertex becomes the left child of the leaf.
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I suggest that you get acquainted with the relevant policies that govern code farm on articles prior to
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attempt. Please refrain from further disruptive editing. I shall wait for inputs from another editor.
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favorite language. Every standard API that a BST container would have is covered in the article at
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Why don't you address the points I raised? I'm not going to repeat what I said over and over. --
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A binary search tree is a binary tree that is strategically populated to quickly search through.
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https://en.wikipedia.org/search/?title=Talk:Computer_program&diff=prev&oldid=1082050227
1596:. Displaying the data structure will show the reader that there's a pointer to the data block. 150: 1557: 227: 398:
If the right child is also a parent, then the right child is also called the right subtree.
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Each vertex in a BST also has a memory pointer to the data record associated with the key.
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I'm very interested in this article. I would like to understand it enough to incorporate
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If the left child is also a parent, then the left child is also called the left subtree.
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me because I assumed the responsibility of this review. This post was unwarranted:
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that a BST is an abstract datatype and knows the contents of the data structure.
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that a BST is a container type and there's a pointer to the key's data block.
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These assumptions need to be addressed before I would label this article GA.
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it first prior to ineptly failing a GA review and furthering disruption.
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that the purpose of the algorithm is to quickly search for data blocks.
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My suggestions are in good faith. I get no pleasure passing judgement.
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No, it's the worst possible idea to suggest a C++ implementation. See
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Child vertices have only one edge pointing in from its parent vertex.
523:// I'm only guessing C++ supports recursive structures; C does not. 1720:
You clearly don't know what you're doing, espacially after your
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A disk-drive directory structure is an example of a rooted tree.
266:. Nonetheless, I wish the editors of this article good reviews. 413:
The first vertex inserted into an empty tree becomes the root.
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Edges are branches that represent parent/child relationships.
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The level of a vertex is the number of edges up to the root.
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A directory without any subdirectories or files is a leaf.
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Parent vertices have edges pointing to each child vertex.
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Here are the BST components that should be made visual.
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I'm going to focus on the first Good Article criterion:
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https://www.explainxkcd.com/index.php/1133:_Up_Goer_Five
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Because I don't want to play in your sandbox. Bye-bye.
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Each vertex in a BST has a key which is used to search.
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A directory with subdirectories or files is a parent.
1791:Not a personal attack, those were your behavior in 1637:If you don't know what you're doing, it's best to 386:A binary tree is a tree with at most two children. 1848:, you are escalating this to the admin boards. -- 1575:understandable to an appropriately broad audience 374:Slash (/) or backslash (\) is the root directory. 256:Knowledge:Make technical articles understandable 362:A child vertex that is not a parent is a leaf. 1534:. Your final assessment should be dismissed. 8: 359:A child vertex may be a parent to a subtree. 395:The second child is called the right child. 1129:// Filename: binary_search_tree_driver.cpp 368:The height of a tree is the maximum level. 30: 389:The first child is called the left child. 260:http://www.jimchurchphoto.com/JimBio.html 311:New review b/c first reviewer is blocked 222:That account is my alt. Is that okay?? 61: 33: 1689: 1527: 258:. I learned from a published author ( 7: 865:// Filename: binary_search_tree.cpp 383:Each file in a directory is a leaf. 24: 757:// Filename: binary_search_tree.h 1430:c++binary_search_tree_driver.cpp 1399:rmbinary_search_tree_driver*.o 344:Vertices store family members. 341:Rooted tree is the foundation. 238:Simplify to a broader audience 1: 1813:Binary_search_tree#Operations 1465:c++-cbinary_search_tree.cpp 1442:-obinary_search_tree_driver 350:Root vertex starts the tree. 1964: 1930:02:31, 12 April 2022 (UTC) 1916:01:29, 12 April 2022 (UTC) 1895:01:10, 12 April 2022 (UTC) 1865:00:42, 12 April 2022 (UTC) 1832:00:33, 12 April 2022 (UTC) 1787:23:30, 11 April 2022 (UTC) 1741:06:14, 11 April 2022 (UTC) 1709:06:05, 11 April 2022 (UTC) 1684:05:48, 11 April 2022 (UTC) 1658:03:28, 11 April 2022 (UTC) 1620:18:44, 11 April 2022 (UTC) 1606:18:44, 11 April 2022 (UTC) 1587:18:25, 11 April 2022 (UTC) 1566:18:00, 11 April 2022 (UTC) 1551:03:00, 11 April 2022 (UTC) 1505:00:12, 11 April 2022 (UTC) 1690:assuming responsibilities 1408:binary_search_tree_driver 1401:binary_search_tree_driver 1391:binary_search_tree_driver 305:22:23, 8 April 2022 (UTC) 276:22:13, 8 April 2022 (UTC) 232:21:42, 8 April 2022 (UTC) 217:21:15, 8 April 2022 (UTC) 193:17:42, 8 April 2022 (UTC) 161:17:38, 8 April 2022 (UTC) 1379: 448: 1528:copy-paste, and compile 1087:// Filename: person.cpp 613:// Filename: vertex.cpp 18:Talk:Binary search tree 1758:what a binary tree is. 1141:"binary_search_tree.h" 871:"binary_search_tree.h" 988:// Filename: person.h 451:// Filename: vertex.h 288:I will copy-edit it. 1881:I'm going to invoke 1444:binary_search_tree.o 1434:binary_search_tree.o 1382:# Filename: makefile 1666:. And please don't 244:binary search trees 1883:Knowledge:Civility 1521:. Articles should 1459:binary_search_tree 1451:binary_search_tree 1416:binary_search_tree 1345:"Search result = " 1315:binary_search_tree 1273:binary_search_tree 1216:binary_search_tree 1183:BINARY_SEARCH_TREE 1174:binary_search_tree 1168:BINARY_SEARCH_TREE 955:BINARY_SEARCH_TREE 904:BINARY_SEARCH_TREE 880:BINARY_SEARCH_TREE 874:BINARY_SEARCH_TREE 781:BINARY_SEARCH_TREE 769:BINARY_SEARCH_TREE 442:C++ implementation 333:Binary Search Tree 1135:<iostream: --> 89: 88: 1955: 1914: 1909: 1903: 1863: 1858: 1852: 1830: 1825: 1819: 1739: 1734: 1728: 1719: 1707: 1702: 1696: 1656: 1651: 1645: 1636: 1549: 1544: 1538: 1532:WP:NOTREPOSITORY 1516: 1491:Final assessment 1486:c++-cvertex.cpp 1485: 1481: 1478: 1474: 1471: 1468: 1464: 1460: 1456: 1452: 1448: 1445: 1441: 1437: 1433: 1429: 1425: 1421: 1417: 1413: 1409: 1405: 1402: 1398: 1395: 1392: 1389: 1386: 1383: 1376: 1373: 1370: 1367: 1364: 1361: 1358: 1355: 1352: 1349: 1346: 1343: 1340: 1337: 1334: 1331: 1328: 1325: 1322: 1319: 1316: 1313: 1310: 1307: 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Index

Talk:Binary search tree
Copyvio detector
Authorship
External links
Templates
Criteria
Instructions
Article
edit
visual edit
history
Article talk
edit
history
Watch
Ewdqwdq
talk
contribs
17:38, 8 April 2022 (UTC)
Ewdqwdq
WikiLinuz
talk
17:42, 8 April 2022 (UTC)
sockpuppet
Timhowardriley
talk
21:15, 8 April 2022 (UTC)
Eluike
talk
21:42, 8 April 2022 (UTC)

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