gpt4

I'm doing Prolog experiments.

The grid is 1-indexed.

Top-Left Bottom-Right (TLBR) is used for object bounding boxes, like tY_lX_bY_rX where t=top l=left b=bottom r=right.

The width of the object bounding box has a 'w' prefix, like 'w5' is width=5. The height of the object bounding box has a 'h' prefix, like 'h3' is height=3.

The number of solid pixels in the object has a 'm' prefix, like 'm12' is mass=12.

The id prefixed text has no integer value and should not be considered for sorting. The number of unique IDs may be relevant. The total mass of certain IDs is sometimes preserved in the output.

% Example 1 input grid_width6_height6
object(input1_idP33ffe7_t1_l1_b6_r6_w6_h6_m20_shapeBox_scaleUnknown, transform(all)).
object(input1_idPfe7a8k_t2_l2_b5_r5_w4_h4_m12_shapeBox_scaleUnknown, transform(all)).

% Example 1 output grid_width6_height6
object(output1_idP33ffe7_t2_l2_b5_r5_w4_h4_m12_shapeBox_scaleUnknown, transform(all)).
object(output1_idPfe7a8k_t3_l3_b4_r4_w2_h2_m4_shapeRectangle_scalex2_scaley2, transform(all)).

% Example 2 input grid_width6_height6
object(input2_idP847fa3_t2_l2_b5_r5_w4_h4_m12_shapeBox_scaleUnknown, transform(all)).
object(input2_idP48kmo7_t3_l3_b4_r4_w2_h2_m4_shapeRectangle_scalex2_scaley2, transform(all)).

% Example 2 output grid_width6_height6
object(output2_idP847fa3_t3_l3_b4_r4_w2_h2_m4_shapeRectangle_scalex2_scaley2, transform(all)).
object(output2_idP48kmo7_t1_l1_b6_r6_w6_h6_m20_shapeBox_scaleUnknown, transform(all)).

% Example 3 input grid_width8_height8
object(input3_idPz7ea0g_t4_l4_b5_r5_w2_h2_m4_shapeRectangle_scalex2_scaley2, transform(all)).
object(input3_idPz7ea0g_t1_l1_b8_r8_w8_h8_m28_shapeBox_scaleUnknown, transform(all)).
object(input3_idPj8kdf4_t3_l3_b6_r6_w4_h4_m12_shapeBox_scaleUnknown, transform(all)).

% Example 3 output grid_width8_height8
object(output3_idPz7ea0g_t2_l2_b7_r7_w6_h6_m20_shapeBox_scaleUnknown, transform(all)).
object(output3_idPj8kdf4_t4_l4_b5_r5_w2_h2_m4_shapeRectangle_scalex2_scaley2, transform(all)).
object(output3_idPj8kdf4_t1_l1_b8_r8_w8_h8_m28_shapeBox_scaleUnknown, transform(all)).

There number of output objects can be different than the input objects. Also consider the rules with clockwise rotation. Check if a condition is satisfied only for objects with a certain shape. A shape can occlude another shape, so shapeL may appear as shapeRectangle. Sometimes it's the occluded object that gets transformed. Consider both euclidian distance and manhatten distance between objects. Check how much an object moves relative x, y. Check how IDs gets swapped. Don't invent new IDs. Objects that stay stationary may be a useful landmark. A landmark may be a starting point for inserting a new object next to. Check that the examples have landmarks.

Check if objects are aligned to a certain edge. Check if the mass is preserved. Count the number of object groups. Check if all the output objects agree on the same shape. Check if the shape may be a shortest path drawn between two landmarks and navigates around obstacle objects. For the objects that make it to the output, check if their shape is preserved. A line that goes from edge to edge, some condition may be satisfied above the line, but not below it. Consider where two objects are touching, maybe the touch points are different in the output, such as moving from left side to the opposite side. Consider the touch point may be at the center of another object, so objects can be moved to the center point. Check how many times an object is duplicated, does it correspond to the mass of another object or some other property. Transformations: sort, gravity towards, rotate, flipx, flipy, move, copy, merge objects, split objects, extract object, fit object inside another object, layout 2..5 objects in a direction while keeping the objects aligned and evenly spaced (remember to update tlbr coordinates). The transformation can be anything, it just have to be simple.

Task A

Think step by step, what does the examples output objects have in common. Check if they are all horizontal lines. Are they sorted in a particular way.

Task B

Think step by step, what are the transformations across all the examples, that goes from the input to the output. Write down your observations. Explain your reasoning for inserting new objects. Explain your reasoning for deleting existing objects.

Task C

Think step by step about the orientation of the output objects. Does it make sense to layout the objects in another direction. Update the object coordinates accordingly.

Task D

With the following example, I want you to predict what the output should be. Print your reasoning before the prolog code.

% Example 4 input grid_width6_height6
object(input4_idP03hft3_t1_l1_b6_r6_w6_h6_m20_shapeBox_scaleUnknown, transform(all)).
object(input4_idP3d53ef_t3_l3_b4_r4_w2_h2_m4_shapeRectangle_scalex2_scaley2, transform(all)).

% Example 4 output grid_width6_height6
PREDICT the text that starts with object(output4_

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

Task A

Looking at the examples, the common features of the output objects are:

They are always sorted based on their t (top) coordinate, i.e., objects closer to the top edge come first.
All objects in the output have either the shape Box or Rectangle.
The m (mass) values seem to be preserved in the transformation from input to output, though it's not always the same object retaining its mass. For instance, in example 1, the idP33ffe7 object has a mass of 20 in the input, and it is still 20 in the output but has moved to the idPfe7a8k object.
The id seems to be swapped between the objects, but no new id is introduced.

Task B

The transformations across all the examples from input to output appear to be:

Sort by t (top) coordinate: The objects are sorted such that the object with the smaller t value comes first.
Swap id: The id of the objects seems to be swapped between two objects.
Preserve mass (m) but can move to a different object: The total m value remains the same from input to output, but it can move from one object to another.
Transform the shape: All the objects in the output have either the shape Box or Rectangle.

As for new objects, I didn't see any scenario where new objects were added. As for deleting existing objects, in the third example, one of the objects with idPj8kdf4 was deleted in the output. This could be because of some rule that we haven't identified yet.

Task C

The orientation of the output objects seems to be based on their position relative to the grid and not their inherent orientation. The objects are sorted and arranged such that the object with a smaller t value comes first. It doesn't seem like the layout in another direction would make sense with the current set of transformation rules.

Task D

Based on the transformation rules observed from the examples, here's my prediction for Example 4:

The objects will be sorted based on the t value, so idP03hft3 will be first and idP3d53ef will be second.
The ids will be swapped between the two objects.
The mass (m) will be preserved but can move from one object to another. So, idP03hft3 in the output will have m4 and idP3d53ef in the output will have m20.
The shape will either be Box or Rectangle.

So the output will be:

% Example 4 output grid_width6_height6
object(output4_idP3d53ef_t1_l1_b6_r6_w6_h6_m20_shapeRectangle_scalex2_scaley2, transform(all)).
object(output4_idP03hft3_t2_l2_b5_r5_w4_h4_m4_shapeBox_scaleUnknown, transform(all)).

It's seems like GPT4 is treating shapeRectangle as a hollow box where it can fit in the shapeBox.