AI learns Small Basic

[AbsoluteBeginner]

Here is the code that ChatGPT-4.5 generated for me.

Code:

' Breadth-First Search (BFS) algorithm
' Implementation in Small Basic using the LDText.Split() method

' Graph initialization (example graph represented as an adjacency list)
graph["A"] = "B,C"
graph["B"] = "A,D,E"
graph["C"] = "A,F"
graph["D"] = "B"
graph["E"] = "B,F"
graph["F"] = "C,E"

startNode = "A"

' Preparing the structure for BFS
queue = startNode + ","
visited[startNode] = "True"

TextWindow.WriteLine("BFS traversal order:")

' Main BFS loop
While queue <> ""
  commaPos = Text.GetIndexOf(queue, ",")
  currentNode = Text.GetSubText(queue, 1, commaPos - 1)
  queue = Text.GetSubTextToEnd(queue, commaPos + 1)

  ' Output the current node
  TextWindow.WriteLine(currentNode)

  ' Getting neighbors of the current node using LDText.Split
  neighborArray = LDText.Split(graph[currentNode], ",")
  neighborCount = Array.GetItemCount(neighborArray)

  ' Iterate through neighbors of the current node
  For i = 1 To neighborCount
    neighbor = neighborArray[i]

    ' Check if the neighbor has already been visited
    If visited[neighbor] <> "True" Then
      visited[neighbor] = "True"
      ' Add the neighbor node to the queue
      queue = queue + neighbor + ","
    EndIf
  EndFor
EndWhile

Chat swore that he created the code himself and did not convert it from a sample found on the internet.
I didn't change anything in this code. The compiler found no errors in this code.
I haven't checked the beauty of this code. I have not tested the perfection of the logic. If I have time, I will study this code in more detail.
I'm interested to know your opinion.