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authorNavan Chauhan <navanchauhan@gmail.com>2020-08-01 15:34:22 +0530
committerNavan Chauhan <navanchauhan@gmail.com>2020-08-01 15:34:22 +0530
commite80badd278f54e8cde64243aa56687f8e6e32cc2 (patch)
tree12667ca96236edca69b9f28ae7a66a1884f30156 /lstm_chem/utils/smiles_tokenizer.py
parentcfa7ae936935010f77eaddd561ff1c0857a3c6f0 (diff)
added alpha model
Diffstat (limited to 'lstm_chem/utils/smiles_tokenizer.py')
-rw-r--r--[-rwxr-xr-x]lstm_chem/utils/smiles_tokenizer.py9
1 files changed, 1 insertions, 8 deletions
diff --git a/lstm_chem/utils/smiles_tokenizer.py b/lstm_chem/utils/smiles_tokenizer.py
index d15d625..f998c4a 100755..100644
--- a/lstm_chem/utils/smiles_tokenizer.py
+++ b/lstm_chem/utils/smiles_tokenizer.py
@@ -1,8 +1,5 @@
-import copy
import numpy as np
-import time
-
class SmilesTokenizer(object):
def __init__(self):
@@ -30,7 +27,7 @@ class SmilesTokenizer(object):
'S',
'K',
'V',
- 'I',
+ 'I'
]
special = [
'(', ')', '[', ']', '=', '#', '%', '0', '1', '2', '3', '4', '5',
@@ -51,8 +48,6 @@ class SmilesTokenizer(object):
N = len(smiles)
i = 0
token = []
-
- timeout = time.time() + 5 # 5 seconds from now
while (i < N):
for j in range(self.table_len):
symbol = self.table[j]
@@ -60,8 +55,6 @@ class SmilesTokenizer(object):
token.append(symbol)
i += len(symbol)
break
- if time.time() > timeout:
- break
return token
def one_hot_encode(self, tokenized_smiles):