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 id prefixed text has no integer value and should not be considered.
Consider both euclidian distance and manhatten distance between objects, since it may impact the id assigned to the object.
% Example 1 input grid_width4_height4
object(input1_idP847fa3_t3_l2_b3_r2_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input1_idP48kmo7_t3_l3_b3_r3_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input1_idP989a7f_t2_l3_b2_r3_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input1_idP33ffe7_t2_l2_b2_r2_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
% Example 1 output grid_width4_height4
object(output1_idP847fa3_t4_l1_b4_r1_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(output1_idP48kmo7_t4_l4_b4_r4_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(output1_idP989a7f_t1_l4_b1_r4_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(output1_idP33ffe7_t1_l1_b1_r1_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
% Example 2 input grid_width4_height4
object(input2_idPz7ea0g_t3_l2_b3_r2_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input2_idP48kmo7_t2_l3_b2_r3_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input2_idPj8kdf4_t2_l2_b2_r2_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input2_idP33ffe7_t3_l3_b3_r3_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
% Example 2 output grid_width4_height4
object(output2_idPz7ea0g_t4_l1_b4_r1_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(output2_idP48kmo7_t1_l4_b1_r4_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(output2_idPj8kdf4_t1_l1_b1_r1_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(output2_idP33ffe7_t4_l4_b4_r4_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
There number of output objects may be different than the input objects. The output objects may have to be sorted by coordinates or mass or some other property.
Think step by step, what are the transformations across all the examples, that goes from the input to the output. Explain your reasoning for inserting new objects. With the following example, I want you to predict what the output should be
% Example 3 input grid_width4_height4
object(input3_idP03hft3_t3_l3_b3_r3_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input3_idP989a7f_t3_l2_b3_r2_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input3_idP33ffe7_t2_l3_b2_r3_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input3_idPfe7a8k_t2_l2_b2_r2_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
% Example 3 output grid_width4_height4
PREDICT the text that starts with object(output3_
Repeat the previous example prolog code, with PREDICT replaced with your predictions.
Based on the patterns from Example 1 and Example 2, it seems that the transformation of the objects in the grid is determined by the positions of the objects in the input grid.
Each object is moved to a corner in the output grid, specifically, the opposite corner from their original position in the input grid. In a 4x4 grid, there are four corners, namely, (1,1), (1,4), (4,1), and (4,4), referring to (top, left) positions.
Looking at the position (top, left) of the objects in the input grid:
- Object at (3,2) is moved to (4,1).
- Object at (3,3) is moved to (4,4).
- Object at (2,2) is moved to (1,1).
- Object at (2,3) is moved to (1,4).
Given these rules, we can predict the output of Example 3:
% Example 3 input grid_width4_height4
object(input3_idP03hft3_t3_l3_b3_r3_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input3_idP989a7f_t3_l2_b3_r2_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input3_idP33ffe7_t2_l3_b2_r3_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(input3_idPfe7a8k_t2_l2_b2_r2_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
% Example 3 output grid_width4_height4
object(output3_idP03hft3_t4_l4_b4_r4_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(output3_idP989a7f_t4_l1_b4_r1_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(output3_idP33ffe7_t1_l4_b1_r4_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
object(output3_idPfe7a8k_t1_l1_b1_r1_w1_h1_mass1_shapeRectangle_scalex1_scaley1, transform(all)).
This matches the transformation rules extracted from the previous examples. However, this prediction assumes that there's no specific ordering or selection criteria (like mass, shape, etc.) influencing the final output.