descr = [ ]
for n in range(nb):
- nb = torch.randint(5, (1,)) + 1
- shape_position = torch.randperm(height * width)[:nb]
- shape_c = torch.randperm(5)[:nb] + 1
+ nb_shapes = torch.randint(len(color_tokens) - 1, (1,)) + 1
+ shape_position = torch.randperm(height * width)[:nb_shapes]
+ shape_c = torch.randperm(len(color_tokens) - 1)[:nb_shapes] + 1
shape_i = shape_position.div(width, rounding_mode = 'floor')
shape_j = shape_position % width
img = [ 0 ] * height * width
- for k in range(nb): img[shape_position[k]] = shape_c[k]
+ for k in range(nb_shapes): img[shape_position[k]] = shape_c[k]
s = [ ]
- for r, c in [ (k, color_names[shape_c[k]]) for k in range(nb) ]:
+ for r, c in [ (k, color_names[shape_c[k]]) for k in range(nb_shapes) ]:
s += [ f'there is {c}' ]
if shape_i[r] >= height - height//3: s += [ f'{c} bottom' ]
if shape_j[r] >= width - width//3: s += [ f'{c} right' ]
if shape_j[r] < width//3: s += [ f'{c} left' ]
- for t, d in [ (k, color_names[shape_c[k]]) for k in range(nb) ]:
+ for t, d in [ (k, color_names[shape_c[k]]) for k in range(nb_shapes) ]:
if shape_i[r] > shape_i[t]: s += [ f'{c} below {d}' ]
if shape_i[r] < shape_i[t]: s += [ f'{c} above {d}' ]
if shape_j[r] > shape_j[t]: s += [ f'{c} right of {d}' ]