######################################################################
-def generate(nb_starting_values=3, max_input=9, prog_len=6, nb_runs=5):
+def generate(
+ nb_starting_values=3, nb_result_values_max=None, max_input=9, prog_len=6, nb_runs=5
+):
prog_len = (1 + torch.randint(2 * prog_len, (1,))).clamp(max=prog_len).item()
while True:
result = result + ["<prog>"] + prog
result = result + ["<end>"]
- if no_empty_stack:
+
+ if no_empty_stack and (
+ nb_result_values_max is None or len(result_stack) <= nb_result_values_max
+ ):
break
return result
o = next_marker(seq, ["<output>"], start=k + 1)
e = next_marker(seq, ["<input>", "<prog>"], start=o)
if o is None or e is None:
- raise ValueError("Invalid input/output")
+ raise ValueError(
+ "Missing input/output markers (should be correct in the prompt)"
+ )
try:
io.append(
([int(x) for x in seq[k + 1 : o]], [int(x) for x in seq[o + 1 : e]])
)
except ValueError:
- raise ValueError("Invalid input/output")
+ raise ValueError(
+ "Invalid input/output value (should be correct in the prompt)"
+ )
k = e
prog = []
else:
prog = seq[k + 1 : e]
+ else:
+ raise ValueError("Missing <prog> (it should be in the prompt)")
+
return prog, io