X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=expr.py;h=e539fcbb8ec58c17a33dd4686669546a17713df9;hb=233f57347c9560aec2f3cbaf001a8efa56a0243b;hp=baee50275248c8c4a4f234ba8dc1f8f96eabe48b;hpb=495c959114942d07808788e27d9fcaa951a7d21e;p=picoclvr.git diff --git a/expr.py b/expr.py index baee502..e539fcb 100755 --- a/expr.py +++ b/expr.py @@ -1,6 +1,6 @@ #!/usr/bin/env python -import math +import math, re import torch, torchvision @@ -24,7 +24,7 @@ def random_expr(variables, budget): else: return str(torch.randint(10, (1,)).item()) else: - op = torch.randint(4, (1,)).item() + op = torch.randint(3, (1,)).item() if op == 0: e = random_expr(variables, budget - 2) if ("+" in e or "-" in e or "*" in e) and (e[0] != "(" or e[-1] != ")"): @@ -38,8 +38,6 @@ def random_expr(variables, budget): if op == 1: return e1 + "+" + e2 elif op == 2: - return e1 + "+" + e2 - elif op == 3: return e1 + "*" + e2 @@ -53,14 +51,24 @@ def generate_program(nb_variables, length): return s, variables +def extract_results(seq): + f = lambda a: (a[0], -1 if a[1] == "" else int(a[1])) + results = [ + dict([f(tuple(x.split(":"))) for x in re.findall("[A-Z]:[0-9]*", s)]) + for s in seq + ] + return results + + def generate_sequences(nb, nb_variables=5, length=20, randomize_length=False): + assert nb_variables <= 26 sequences = [] for n in range(nb): result = None while result == None or max(result.values()) > 100: l = length if l > 5 and randomize_length: - l = 5 + torch.randint(l-5, (1,)).item() + l = 5 + torch.randint(l - 5, (1,)).item() p, v = generate_program(nb_variables, l) v = ", ".join(['"' + v + '": ' + v for v in v]) ldict = {} @@ -69,7 +77,7 @@ def generate_sequences(nb, nb_variables=5, length=20, randomize_length=False): k = list(result.keys()) k.sort() - sequences.append(p + " " + ";".join([v + ":" + str(result[v]) for v in k])) + sequences.append(p + " " + "".join([v + ":" + str(result[v]) + ";" for v in k])) return sequences @@ -78,8 +86,10 @@ if __name__ == "__main__": import time start_time = time.perf_counter() - sequences = generate_sequences(1000, randomize_length=True) + sequences = generate_sequences(1000, length=30) end_time = time.perf_counter() for s in sequences[:10]: print(s) print(f"{len(sequences) / (end_time - start_time):.02f} samples per second") + + print(extract_results(sequences[:10]))