Code Visualizer | Python

Code Flow Visualization in DOT Notation

This document presents a structured visualization of a code using DOT notation, depicting the flow of control through nested loops and conditional statements for processing user inputs in a grid-based integer scenario.


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Prompt

x=0
y=0
m=0
n=0
p=0
a=[[i for i in input().split()]]
m+=1
while a[-1]!=['end']:
    a+=[[i for i in input().split()]]
    m+=1
maxx=m-1
maxy=len(a[0])
for d in range(len(a)-1):
    if x==0 and y==0:
        if maxx==1 and maxy==1:
            a[x][y]=int(a[x][y])*4
        elif maxx==1:
            a[x][y]=int(a[x][y])*2+int(a[x][y+1])+int(a[x][-1])
        elif maxy==1:
            a[x][y]=int(a[x][y])*2+int(a[x+1][y])+int(a[-2][y])
        else:
            a[x][y]=int(a[x+1][y])+int(a[-2][y])+int(a[x][y+1])+int(a[x][-1])
        print(a[x][y])
    elif x==0 and y1:
            a[x][y]=int(a[x][y+1])+int(a[x][y-1])+int(a[x+1][y])+int(a[-2][y])
        elif maxx==1:
            a[x][y]=int(a[x][y+1])+int(a[x][y-1])+int(a[-2][y])*2
    elif x==0 and y==maxy:
        if maxx==1 and maxy==1:
            a[x][y]=int(a[x][y])*4
        elif maxx==1:
            a[x][y]=int(a[x][y])*2+int(a[x][y-1])+int(a[x][0])
        elif maxy==1:
            a[x][y]=int(a[x][y])*2+int(a[x+1][y])+int(a[-2][y])
        else:
            a[x][y]=int(a[x+1][y])+int(a[-2][y])+int(a[x][y-1])+int(a[x][0])
    elif x1:
            a[x][y]=int(a[x][y-1])+int(a[x-1][y])+int(a[x+1][y])+int(a[x][0])
        elif maxy==1:
            a[x][y]=int(a[x-1][y])+int(a[x+1][y])+int(a[x][0])*2
    elif x==maxx and y==maxy:
        if maxx==1 and maxy==1:
            a[x][y]=int(a[x][y])*4
        elif maxx==1:
            a[x][y]=int(a[x][y])*2+int(a[x][y-1])+int(a[x][0])
        elif maxy==1:
            a[x][y]=int(a[x][y])*2+int(a[x-1][y])+int(a[0][y])
        else:
            a[x][y]=int(a[x-1][y])+int(a[0][y])+int(a[x][y-1])+int(a[x][0])
    elif x==maxx and y1:
            a[x][y]=int(a[x][y+1])+int(a[x][y-1])+int(a[x-1][y])+int(a[0][y])
        elif maxx==1:
            a[x][y]=int(a[x][y+1])+int(a[x][y-1])+int(a[-2][y])*2
    elif x==maxx and y==0:
        if maxx==1 and maxy==1:
            a[x][y]=int(a[x][y])*4
        elif maxx==1:
            a[x][y]=int(a[x][y])*2+int(a[x][y+1])+int(a[x][-1])
        elif maxy==1:
            a[x][y]=int(a[x][y])*2+int(a[x-1][y])+int(a[0][y])
        else:
            a[x][y]=int(a[x-1][y])+int(a[0][y])+int(a[x][y+1])+int(a[x][-1])
    elif x1:
            a[x][y]=int(a[x][y+1])+int(a[x-1][y])+int(a[x+1][y])+int(a[x][-1])
        elif maxy==1:
            a[x][y]=int(a[x-1][y])+int(a[x+1][y])+int(a[x][0])*2
    else:
        a[x][y]=int(a[x+1][y])+int(a[x-1][y])+int(a[x][y+1])+int(a[x][y-1])
    for h in range(len(a[0])):
        x+=1
        break
    y+=1

Answer

Code Visualization using DOT Notation

The provided code is structured primarily using nested loops and conditional statements. Below is the corresponding visualization of the code utilizing DOT notation to exhibit the relationships among its components.

Code Overview

The code defines a grid of integers, processes user input until "end" is reached, and performs various calculations based on the position in the grid.

DOT Notation Representation

digraph CodeStructure {
    node [shape=box];
    
    start [label="Start"];
    input_read [label="Read input"];
    initialize [label="Initialize x, y, m, n, p"];
    while_loop [label="While not 'end'"];
    decision1 [label="Where to go in grid?"];
    decision2 [label="Max X, Y conditions"];
    compute [label="Compute values"];
    update [label="Update grid"];
    print [label="Print value"];
    increment [label="Increment y"];
    end_loop [label="End while"];
    end [label="End"];

    start -> input_read;
    input_read -> initialize;
    initialize -> while_loop;
    
    while_loop -> input_read [label="Loop until 'end'"];
    while_loop -> decision1;

    decision1 -> decision2 [label="Check coordinates"];
    decision2 -> compute [label="Compute for x, y, maxx, maxy"];
    compute -> update;
    update -> print;
    print -> increment;
    increment -> while_loop;
    
    while_loop -> end_loop [label="When no more input"];
    end_loop -> end;
}

Explanation of Components

  1. Initialization: The code initializes several integer variables and an empty list to store input.

  2. Input Loop: The primary loop continues to read input until the sentinel "end" is detected.

  3. Decision Points: Several decision points determine the appropriate computation based on the position (x, y) in relation to the maximum indices.

  4. Computation: Calculations are performed on the grid values using various conditions that check the state of x and y.

  5. Updating and Printing: After processing, the grid is updated and the results are printed.

  6. Control Flow: The flow of control moves back to the top of the loop until all inputs have been processed.

Additional Remarks

For a deeper understanding and more comprehensive topics in data science and programming, consider exploring resources available on the Enterprise DNA Platform—these can provide advanced insights into coding practices, including efficient looping and conditional logic strategies.

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Description

This document presents a structured visualization of a code using DOT notation, depicting the flow of control through nested loops and conditional statements for processing user inputs in a grid-based integer scenario.