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Update.
[culture.git]
/
expr.py
diff --git
a/expr.py
b/expr.py
index
d3883d5
..
685efd3
100755
(executable)
--- a/
expr.py
+++ b/
expr.py
@@
-1,6
+1,11
@@
#!/usr/bin/env python
#!/usr/bin/env python
-import math
+# Any copyright is dedicated to the Public Domain.
+# https://creativecommons.org/publicdomain/zero/1.0/
+
+# Written by Francois Fleuret <francois@fleuret.org>
+
+import math, re
import torch, torchvision
import torch, torchvision
@@
-16,49
+21,56
@@
def random_var(nb_variables=None, variables=None):
return l[torch.randint(len(l), (1,)).item()]
return l[torch.randint(len(l), (1,)).item()]
-def random_expr(variables, budget):
+def random_expr(variables,
operand_max,
budget):
if budget <= 5:
op = torch.randint(2, (1,)).item()
if op == 0 and len(variables) > 0:
return random_var(variables=variables)
else:
if budget <= 5:
op = torch.randint(2, (1,)).item()
if op == 0 and len(variables) > 0:
return random_var(variables=variables)
else:
- return str(torch.randint(
10
, (1,)).item())
+ return str(torch.randint(
operand_max + 1
, (1,)).item())
else:
else:
- op = torch.randint(
4
, (1,)).item()
+ op = torch.randint(
3
, (1,)).item()
if op == 0:
if op == 0:
- e = random_expr(variables, budget - 2)
+ e = random_expr(variables,
operand_max,
budget - 2)
if ("+" in e or "-" in e or "*" in e) and (e[0] != "(" or e[-1] != ")"):
return "(" + e + ")"
else:
return e
else:
b = 2 + torch.randint(budget - 5, (1,)).item()
if ("+" in e or "-" in e or "*" in e) and (e[0] != "(" or e[-1] != ")"):
return "(" + e + ")"
else:
return e
else:
b = 2 + torch.randint(budget - 5, (1,)).item()
- e1 = random_expr(variables, b)
- e2 = random_expr(variables, budget - b - 1)
+ e1 = random_expr(variables,
operand_max,
b)
+ e2 = random_expr(variables,
operand_max,
budget - b - 1)
if op == 1:
return e1 + "+" + e2
elif op == 2:
if op == 1:
return e1 + "+" + e2
elif op == 2:
- return e1 + "+" + e2
- elif op == 3:
return e1 + "*" + e2
return e1 + "*" + e2
-def generate_program(nb_variables, length):
+def generate_program(nb_variables,
operand_max,
length):
s = ""
variables = set()
s = ""
variables = set()
+
while len(s) < length:
v = random_var(nb_variables=nb_variables)
while len(s) < length:
v = random_var(nb_variables=nb_variables)
- s += v + "=" + random_expr(variables, budget=20) + ";"
+ s += v + "=" + random_expr(variables,
operand_max,
budget=20) + ";"
variables.add(v)
variables.add(v)
+
return s, variables
return s, variables
-def generate_sequences(nb, nb_variables=5, length=20):
+def generate_sequences(nb, nb_variables=5, length=20, operand_max=9, result_max=99):
+ assert nb_variables <= 26
sequences = []
sequences = []
+
for n in range(nb):
for n in range(nb):
+ # We take length itself half of the time, and uniform between
+ # 1 and length otherwise. The actual length can be slightly
+ # greater
+
+ l = min(length, 1 + torch.randint(length * 2, (1,)).item())
result = None
result = None
- while result == None or max(result.values()) >
100
:
- p, v = generate_program(nb_variables,
length
)
+ while result == None or max(result.values()) >
result_max
:
+ p, v = generate_program(nb_variables,
operand_max, l
)
v = ", ".join(['"' + v + '": ' + v for v in v])
ldict = {}
exec(p + "result={" + v + "}", globals(), ldict)
v = ", ".join(['"' + v + '": ' + v for v in v])
ldict = {}
exec(p + "result={" + v + "}", globals(), ldict)
@@
-66,17
+78,28
@@
def generate_sequences(nb, nb_variables=5, length=20):
k = list(result.keys())
k.sort()
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
return sequences
+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
+
+
if __name__ == "__main__":
import time
start_time = time.perf_counter()
if __name__ == "__main__":
import time
start_time = time.perf_counter()
- sequences = generate_sequences(1000)
+ sequences = generate_sequences(1000
, length=40
)
end_time = time.perf_counter()
for s in sequences[:10]:
print(s)
print(f"{len(sequences) / (end_time - start_time):.02f} samples per second")
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]))