arc-prompt/prompts/incorrect/Tetris_l6ab7fu64lvutswrtbk-1.md

gpt4

I'm doing Prolog experiments.

The x and y coordinates represent a 0-indexed grid.

% Example 0 input grid 5cols_5rows
object(input0_color4_x1_y0_width2_height3_mass4_shapeSkewTetromino).
object(input0_color1_x3_y4_width2_height1_mass2_shapeRectangle).
object(input0_color1_x0_y4_width2_height1_mass2_shapeRectangle).

% Example 0 output grid 5cols_5rows
object(output0_color1_x1_y3_width2_height2_mass3_shapeL).

% Example 1 input grid 5cols_5rows
object(input1_color4_x3_y1_width2_height2_mass3_shapeL).
object(input1_color1_x0_y4_width2_height1_mass2_shapeRectangle).

% Example 1 output grid 5cols_5rows
object(output1_color1_x0_y4_width2_height1_mass2_shapeRectangle).
object(output1_color1_x3_y3_width2_height2_mass3_shapeL).

% Example 2 input grid 5cols_5rows
object(input2_color4_x3_y0_width1_height2_mass2_shapeRectangle).
object(input2_color1_x4_y3_width1_height2_mass2_shapeRectangle).
object(input2_color1_x0_y3_width3_height2_mass6_shapeRectangle).

% Example 2 output grid 5cols_5rows

% Example 3 input grid 5cols_5rows
object(input3_color4_x3_y0_width2_height3_mass4_shapeL).
object(input3_color1_x0_y4_width3_height1_mass3_shapeRectangle).
object(input3_color1_x4_y3_width1_height2_mass2_shapeRectangle).

% Example 3 output grid 5cols_5rows
object(output3_color1_x3_y3_width2_height2_mass4_shapeRectangle).

% Example 4 input grid 5cols_5rows
object(input4_color4_x0_y1_width3_height1_mass3_shapeRectangle).

% Example 4 output grid 5cols_5rows
object(output4_color1_x0_y4_width3_height1_mass3_shapeRectangle).

The shapeSkewTetromino is known from Tetris and looks like this 3cols_2rows ASCII art

 ■■
■■

The shapeRectangle is solid and has no holes.

Think step by step, what are the transformations across all the examples, that goes from the input to the output. With the following example, I want you to predict what the output should be


% Example 5 input grid 5cols_5rows
object(input5_color4_x1_y1_width3_height2_mass4_shapeSkewTetromino).
object(input5_color1_x4_y4_width1_height1_mass1_shapeRectangle).
object(input5_color1_x0_y4_width2_height1_mass2_shapeRectangle).

% Example 5 output grid 5cols_5rows
PREDICT the lines that starts with object(output5_

Repeat the previous example prolog code, with the PREDICT replaced with your predictions.

The transformation rules based on the examples can be identified as:

If a shape has color 4 and is not a rectangle, the color is changed to color 1 and the shape becomes a rectangle. The height and width stay the same. The mass value also remains unchanged.
If a shape has color 1 and is a rectangle, it stays the same. It's as if color 1 shapes are not affected by the transformation.
The output positions don't seem to correlate with the input positions directly. For example, in Example 1, the rectangle moved from (0,4) to (3,3), but in Example 0, the rectangle moved from (3,4) to (1,3). However, it seems that when a color 4 object is transformed, it takes the position of the lowest color 1 rectangle.
If there's no color 4 shape, the color 1 rectangle appears in the output at the same position as in the input.

Based on these transformations, the predicted output for the new example would be:

% Example 5 input grid 5cols_5rows
object(input5_color4_x1_y1_width3_height2_mass4_shapeSkewTetromino).
object(input5_color1_x4_y4_width1_height1_mass1_shapeRectangle).
object(input5_color1_x0_y4_width2_height1_mass2_shapeRectangle).

% Example 5 output grid 5cols_5rows
object(output5_color1_x0_y4_width3_height2_mass4_shapeRectangle).
object(output5_color1_x4_y4_width1_height1_mass1_shapeRectangle).

Based on the provided examples, it seems like the following transformations are being applied:

All objects with shapeSkewTetromino get transformed into an object with shapeRectangle with the same mass.
The transformed object's width and height become 2 each, regardless of its initial dimensions.
The x and y coordinates are updated in a specific way: the x coordinate is set to be the maximum x coordinate from the input objects, and the y coordinate is set to be the maximum y coordinate from the input objects.
The color of the transformed object is set to 1, regardless of its initial color.

Considering these transformations, the predicted output for example 5 would be:

% Example 5 input grid 5cols_5rows
object(input5_color4_x1_y1_width3_height2_mass4_shapeSkewTetromino).
object(input5_color1_x4_y4_width1_height1_mass1_shapeRectangle).
object(input5_color1_x0_y4_width2_height1_mass2_shapeRectangle).

% Example 5 output grid 5cols_5rows
object(output5_color1_x4_y4_width2_height2_mass4_shapeRectangle).

Here, input5_color4_x1_y1_width3_height2_mass4_shapeSkewTetromino has been transformed into output5_color1_x4_y4_width2_height2_mass4_shapeRectangle according to the rules inferred from the previous examples.

Given the previous examples, it seems the transformation rules can be inferred as follows:

Objects of shape shapeSkewTetromino and shapeL get replaced with a shapeRectangle.
The width and height of the replaced shape are equal to the highest x and y coordinates occupied by the original shape.
The color of the replaced shape is always color1.
The mass of the replaced shape is the same as the mass of the original shape.

Now, let's apply these transformation rules to the Example 5 input grid:

object(input5_color4_x1_y1_width3_height2_mass4_shapeSkewTetromino) occupies the grid cells with x in [1, 3] and y in [1, 2]. Therefore, it gets replaced by a shapeRectangle with color color1, width 3, height 2, and mass 4.
object(input5_color1_x4_y4_width1_height1_mass1_shapeRectangle) is a rectangle already, so it should remain the same.
object(input5_color1_x0_y4_width2_height1_mass2_shapeRectangle) is also a rectangle already, so it should remain the same.

So, we can make the following prediction for Example 5:

% Example 5 input grid 5cols_5rows
object(input5_color4_x1_y1_width3_height2_mass4_shapeSkewTetromino).
object(input5_color1_x4_y4_width1_height1_mass1_shapeRectangle).
object(input5_color1_x0_y4_width2_height1_mass2_shapeRectangle).

% Example 5 output grid 5cols_5rows
object(output5_color1_x1_y1_width3_height2_mass4_shapeRectangle).
object(output5_color1_x4_y4_width1_height1_mass1_shapeRectangle).
object(output5_color1_x0_y4_width2_height1_mass2_shapeRectangle).

Please note that the transformation rules are based on the given examples, and further testing is required to validate these rules for all possible inputs.

Doesn't seem to know that objects can be moved over the edge.

Maybe the shapes needs info about how the SkewTetromino is shaped.