Changed np.bool to np.bool_ as those have been depreciated.

https://numpy.org/doc/stable/release/1.24.0-notes.html#expired-deprecations
jankrepl · Jun 22, 2023 · b1ccd0c · b1ccd0c
1 parent f3bf1c2
commit b1ccd0c
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Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/mltype/ml.py b/mltype/ml.py
@@ -136,7 +136,7 @@ def text2features(text, vocabulary):
 
     ch2ix = {ch: ix for ix, ch in enumerate(vocabulary)}
 
-    output = np.zeros((text_size, vocab_size), dtype=np.bool)
+    output = np.zeros((text_size, vocab_size), dtype=np.bool_)
     for i, ch in enumerate(text):
         try:
             output[i, ch2ix[ch]] = True
@@ -195,7 +195,7 @@ def sample_char(
     if previous_chars:
         features = text2features(previous_chars, vocabulary)
     else:
-        features = np.zeros((1, len(vocabulary)), dtype=np.bool)
+        features = np.zeros((1, len(vocabulary)), dtype=np.bool_)
 
     network.eval()
 

diff --git a/tests/test_ml.py b/tests/test_ml.py
@@ -120,7 +120,7 @@ def test_basic(self):
         vocabulary = ["a", "b", "c"]
 
         res_true = np.array(
-            [[1, 0, 0], [1, 0, 0], [0, 1, 0], [0, 0, 0]], dtype=np.bool
+            [[1, 0, 0], [1, 0, 0], [0, 1, 0], [0, 0, 0]], dtype=np.bool_
         )
         res = text2features(text, vocabulary)