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The following commit(s) were added to refs/heads/main by this push:
     new e3c8cc924c [SYSTEMDS-3738] Missing builtin sign
e3c8cc924c is described below

commit e3c8cc924c56aa64eaea0b0986b9235010ed07c0
Author: e-strauss <lathan...@gmx.de>
AuthorDate: Sat Aug 31 00:02:09 2024 +0200

    [SYSTEMDS-3738] Missing builtin sign
    
    Add missing non dml bodied sign operator.
    
    Closes #2081
---
 src/main/python/systemds/operator/nodes/matrix.py |  8 +++
 src/main/python/systemds/operator/nodes/scalar.py | 10 +++-
 src/main/python/tests/matrix/test_sign.py         | 60 +++++++++++++++++++++++
 3 files changed, 77 insertions(+), 1 deletion(-)

diff --git a/src/main/python/systemds/operator/nodes/matrix.py 
b/src/main/python/systemds/operator/nodes/matrix.py
index 6d1a077b5e..23c40422eb 100644
--- a/src/main/python/systemds/operator/nodes/matrix.py
+++ b/src/main/python/systemds/operator/nodes/matrix.py
@@ -301,6 +301,14 @@ class Matrix(OperationNode):
         """
         return Matrix(self.sds_context, 'log', [self])
 
+    def sign(self) -> 'Matrix':
+        """Returns a matrix representing the signs of the input matrix 
elements,
+        where 1 represents positive, 0 represents zero, and -1 represents 
negative.
+
+        :return: `Matrix` representing operation
+        """
+        return Matrix(self.sds_context, 'sign', [self])
+
     def sin(self) -> 'Matrix':
         """Calculate sin.
 
diff --git a/src/main/python/systemds/operator/nodes/scalar.py 
b/src/main/python/systemds/operator/nodes/scalar.py
index b2a7e898c2..ad29e3f13b 100644
--- a/src/main/python/systemds/operator/nodes/scalar.py
+++ b/src/main/python/systemds/operator/nodes/scalar.py
@@ -196,7 +196,15 @@ class Scalar(OperationNode):
 
         :return: `Scalar` representing operation
         """
-        return Scalar(self.sds_context, 'exp', [self])
+        return Scalar(self.sds_context, "exp", [self])
+
+    def sign(self) -> "Scalar":
+        """Returns a the signs of the input,
+        where 1 represents positive, 0 represents zero, and -1 represents 
negative.
+
+        :return: `Scalar` representing operation
+        """
+        return Scalar(self.sds_context, "sign", [self])
 
     def cos(self) -> 'Scalar':
         """Calculate cos.
diff --git a/src/main/python/tests/matrix/test_sign.py 
b/src/main/python/tests/matrix/test_sign.py
new file mode 100644
index 0000000000..796e30e79e
--- /dev/null
+++ b/src/main/python/tests/matrix/test_sign.py
@@ -0,0 +1,60 @@
+# -------------------------------------------------------------
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+#
+# -------------------------------------------------------------
+
+import unittest
+import numpy as np
+from systemds.context import SystemDSContext
+
+
+class TestSIGN(unittest.TestCase):
+    def setUp(self):
+        self.sds = SystemDSContext()
+
+    def tearDown(self):
+        self.sds.close()
+
+    def test_sign_basic(self):
+        input_matrix = np.array(
+            [[1, -2, 3, 4], [0, -6, 7, 8], [0, -10, 11, -12], [0, -14, 15, 
-16]]
+        )
+
+        sds_input = self.sds.from_numpy(input_matrix)
+        sds_result = sds_input.sign().compute()
+        np_result_np = np.sign(input_matrix)
+        assert np.allclose(sds_result, np_result_np, 1e-9)
+
+    def test_sign_random(self):
+        input_matrix = np.random.random((10, 10)) * 2 - 1
+        sds_input = self.sds.from_numpy(input_matrix)
+        sds_result = sds_input.sign().compute()
+        np_result_np = np.sign(input_matrix)
+        assert np.allclose(sds_result, np_result_np, 1e-9)
+
+    def test_sign_scalar(self):
+        for i in np.random.random(10) * 2 - 1:
+            sds_input = self.sds.scalar(i)
+            sds_result = sds_input.sign().compute()
+            np_result_np = np.sign(i)
+            assert np.isclose(sds_result, np_result_np, 1e-9)
+
+
+if __name__ == "__main__":
+    unittest.main()

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