x_advance,
y_advance,
) = ctx.text_extents(s)
- ctx.move_to(k * token_gap - width_t / 2, token_gap / 5 - y_bearing)
+ ctx.move_to(k * token_gap - width_t / 2, 2 * token_gap / 5)
ctx.show_text(s)
for k, t in enumerate(tokens_output):
if __name__ == "__main__":
import mygpt
- tokens_output = ["<wat>", 2, 3, 4, "<end>"]
+ tokens_output = ["<wat>", "-", 3, 4, "<end>"]
tokens_input = [""] + tokens_output[:-1]
vocabulary_size = 3