From cf94b49d085ec05e1053b49b7e796afa3f593a28 Mon Sep 17 00:00:00 2001 From: =?utf8?q?Fran=C3=A7ois=20Fleuret?= Date: Mon, 17 Jun 2024 15:53:17 +0200 Subject: [PATCH] Update. --- turing.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/turing.py b/turing.py index 66c7f03..2bcdeeb 100755 --- a/turing.py +++ b/turing.py @@ -3,7 +3,7 @@ import torch -def generate_turing_sequences(N, nb_iter=5, nb_states=4, nb_symbols=2, tape_size=5): +def generate_turing_sequences(N, nb_iter=5, nb_states=3, nb_symbols=4, tape_size=5): next_state = torch.randint(nb_states, (N, nb_states, nb_symbols)) next_symbol = torch.randint(nb_symbols, (N, nb_states, nb_symbols)) next_move = torch.randint(3, (N, nb_states, nb_symbols)) @@ -11,13 +11,15 @@ def generate_turing_sequences(N, nb_iter=5, nb_states=4, nb_symbols=2, tape_size all_n = torch.arange(N) tape = torch.randint(nb_symbols, (N, tape_size)) - position = torch.randint(tape_size, (N,)) - state = torch.randint(nb_states, (N,)) + # position = torch.randint(tape_size, (N,)) + # state = torch.randint(nb_states, (N,)) + position = torch.zeros(N, dtype=torch.int64) + state = torch.zeros(N, dtype=torch.int64) result = [] for _ in range(nb_iter): - result.append(tape) + result.append(tape.clone()) current_symbol = tape[all_n, position] tape[all_n, position] = next_symbol[all_n, state, current_symbol] position = (position + next_move[all_n, state, current_symbol] - 1) % tape_size @@ -33,10 +35,10 @@ def generate_turing_sequences(N, nb_iter=5, nb_states=4, nb_symbols=2, tape_size if __name__ == "__main__": print("Basic check.") - tapes = generate_turing_sequences(5) + tapes = generate_turing_sequences(1, nb_iter=10) for i in range(tapes.size(1)): - print(f"- {i:03d} ------------------------") + # print(f"- {i:03d} ------------------------") # for s, h, r in zip(state, position, tape): # print("".join([f"{x}" for x in r])) # print(" " * h + f"^[{s}]") -- 2.20.1