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The following commit(s) were added to refs/heads/main by this push:
     new 35dcec5e0b [SYSTEMDS-3736] Python API Builtin sqrt
35dcec5e0b is described below

commit 35dcec5e0b9593da967f6c080931972e8a249404
Author: e-strauss <[email protected]>
AuthorDate: Fri Aug 30 23:43:11 2024 +0200

    [SYSTEMDS-3736] Python API Builtin sqrt
    
    Add missing non dml bodied square root operator
    
    Closes #2076
---
 src/main/python/systemds/operator/nodes/matrix.py |  7 +++
 src/main/python/systemds/operator/nodes/scalar.py |  7 +++
 src/main/python/tests/matrix/test_sqrt.py         | 62 +++++++++++++++++++++++
 3 files changed, 76 insertions(+)

diff --git a/src/main/python/systemds/operator/nodes/matrix.py 
b/src/main/python/systemds/operator/nodes/matrix.py
index 05785e162b..205bef4359 100644
--- a/src/main/python/systemds/operator/nodes/matrix.py
+++ b/src/main/python/systemds/operator/nodes/matrix.py
@@ -266,6 +266,13 @@ class Matrix(OperationNode):
         """
         return Matrix(self.sds_context, 'abs', [self])
 
+    def sqrt(self) -> 'Matrix':
+        """Calculate square root.
+
+        :return: `Matrix` representing operation
+        """
+        return Matrix(self.sds_context, 'sqrt', [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 212ec9c333..161708472d 100644
--- a/src/main/python/systemds/operator/nodes/scalar.py
+++ b/src/main/python/systemds/operator/nodes/scalar.py
@@ -156,6 +156,13 @@ class Scalar(OperationNode):
         """
         return Scalar(self.sds_context, 'abs', [self])
 
+    def sqrt(self) -> 'Scalar':
+        """Calculate square root.
+
+        :return: `Scalar` representing operation
+        """
+        return Scalar(self.sds_context, 'sqrt', [self])
+
     def sin(self) -> 'Scalar':
         """Calculate sin.
 
diff --git a/src/main/python/tests/matrix/test_sqrt.py 
b/src/main/python/tests/matrix/test_sqrt.py
new file mode 100644
index 0000000000..3f7791f149
--- /dev/null
+++ b/src/main/python/tests/matrix/test_sqrt.py
@@ -0,0 +1,62 @@
+# -------------------------------------------------------------
+#
+# 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 TestSQRT(unittest.TestCase):
+    def setUp(self):
+        self.sds = SystemDSContext()
+
+    def tearDown(self):
+        self.sds.close()
+
+    def test_sqrt_basic(self):
+
+        input_matrix = np.array([[1, 2, 3, 4],
+                                 [5, 6, 7, 8],
+                                 [9, 10, 11, 12],
+                                 [13, 14, 15, 16]])
+
+        sds_input = self.sds.from_numpy(input_matrix)
+        sds_result = sds_input.sqrt().compute()
+        np_result_np = np.sqrt(input_matrix)
+        assert np.allclose(sds_result, np_result_np,1e-9)
+
+    def test_sqrt_random(self):
+
+        input_matrix = np.random.random((10,10))
+        sds_input = self.sds.from_numpy(input_matrix)
+        sds_result = sds_input.sqrt().compute()
+        np_result_np = np.sqrt(input_matrix)
+        assert np.allclose(sds_result, np_result_np,1e-9)
+
+    def test_sqrt_scalar(self):
+        for i in np.random.random(10):
+            sds_input = self.sds.scalar(i)
+            sds_result = sds_input.sqrt().compute()
+            np_result_np = np.sqrt(i)
+            assert np.isclose(sds_result, np_result_np,1e-9)
+
+
+if __name__ == '__main__':
+    unittest.main()

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