diff --git a/build/lib/senteval/utils.py b/build/lib/senteval/utils.py
new file mode 100644
index 00000000..e9bd1d8e
--- /dev/null
+++ b/build/lib/senteval/utils.py
@@ -0,0 +1,99 @@
+# Copyright (c) 2017-present, Facebook, Inc.
+# All rights reserved.
+#
+# This source code is licensed under the license found in the
+# LICENSE file in the root directory of this source tree.
+#
+
+from __future__ import absolute_import, division, unicode_literals
+
+import numpy as np
+import re
+import inspect
+from torch import optim
+import sys
+
+
+def create_dictionary(sentences):
+    words = {}
+    for s in sentences:
+        for word in s:
+            if word in words:
+                words[word] += 1
+            else:
+                words[word] = 1
+    words['<s>'] = 1e9 + 4
+    words['</s>'] = 1e9 + 3
+    words['<p>'] = 1e9 + 2
+    # words['<UNK>'] = 1e9 + 1
+    sorted_words = sorted(words.items(), key=lambda x: -x[1])  # inverse sort
+    id2word = []
+    word2id = {}
+    for i, (w, _) in enumerate(sorted_words):
+        id2word.append(w)
+        word2id[w] = i
+
+    return id2word, word2id
+
+
+def cosine(u, v):
+    return np.dot(u, v) / (np.linalg.norm(u) * np.linalg.norm(v))
+
+
+class dotdict(dict):
+    """ dot.notation access to dictionary attributes """
+    __getattr__ = dict.get
+    __setattr__ = dict.__setitem__
+    __delattr__ = dict.__delitem__
+
+
+def get_optimizer(s):
+    """
+    Parse optimizer parameters.
+    Input should be of the form:
+        - "sgd,lr=0.01"
+        - "adagrad,lr=0.1,lr_decay=0.05"
+    """
+    if "," in s:
+        method = s[:s.find(',')]
+        optim_params = {}
+        for x in s[s.find(',') + 1:].split(','):
+            split = x.split('=')
+            assert len(split) == 2
+            assert re.match("^[+-]?(\d+(\.\d*)?|\.\d+)$", split[1]) is not None
+            optim_params[split[0]] = float(split[1])
+    else:
+        method = s
+        optim_params = {}
+
+    if method == 'adadelta':
+        optim_fn = optim.Adadelta
+    elif method == 'adagrad':
+        optim_fn = optim.Adagrad
+    elif method == 'adam':
+        optim_fn = optim.Adam
+    elif method == 'adamax':
+        optim_fn = optim.Adamax
+    elif method == 'asgd':
+        optim_fn = optim.ASGD
+    elif method == 'rmsprop':
+        optim_fn = optim.RMSprop
+    elif method == 'rprop':
+        optim_fn = optim.Rprop
+    elif method == 'sgd':
+        optim_fn = optim.SGD
+        assert 'lr' in optim_params
+    else:
+        raise Exception('Unknown optimization method: "%s"' % method)
+
+    # check that we give good parameters to the optimizer
+    if if sys.version_info < (3, 10):
+        expected_args = inspect.getargspec(optim_fn.__init__)[0]
+    else:
+        expected_args = list(inspect.signature(optim_fn.__init__).parameters.keys())
+    assert expected_args[:2] == ['self', 'params']
+    if not all(k in expected_args[2:] for k in optim_params.keys()):
+        raise Exception('Unexpected parameters: expected "%s", got "%s"' % (
+            str(expected_args[2:]), str(optim_params.keys())))
+
+    return optim_fn, optim_params
diff --git a/senteval/utils.py b/senteval/utils.py
index 425f60cd..e9bd1d8e 100644
--- a/senteval/utils.py
+++ b/senteval/utils.py
@@ -11,6 +11,7 @@
 import re
 import inspect
 from torch import optim
+import sys
 
 
 def create_dictionary(sentences):
@@ -86,7 +87,10 @@ def get_optimizer(s):
         raise Exception('Unknown optimization method: "%s"' % method)
 
     # check that we give good parameters to the optimizer
-    expected_args = inspect.getargspec(optim_fn.__init__)[0]
+    if if sys.version_info < (3, 10):
+        expected_args = inspect.getargspec(optim_fn.__init__)[0]
+    else:
+        expected_args = list(inspect.signature(optim_fn.__init__).parameters.keys())
     assert expected_args[:2] == ['self', 'params']
     if not all(k in expected_args[2:] for k in optim_params.keys()):
         raise Exception('Unexpected parameters: expected "%s", got "%s"' % (