fix: bot review

Author: jharlow-intel

mkl_random/src/_patch.pyx

@@ -256,7 +256,7 @@ class mkl_random(ContextDecorator):
     --------
     >>> import numpy as np
     >>> import mkl_random
-    >>> with mkl_random.mkl_random():
+    >>> with mkl_random.mkl_random(np):
     ...     x = np.random.normal(size=10)
     """
     def __init__(self, numpy_module=None, names=None, strict=False):

mkl_random/tests/test_patch.py

@@ -1,3 +1,28 @@
+# Copyright (c) 2017, Intel Corporation
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+#
+#     * Redistributions of source code must retain the above copyright notice,
+#       this list of conditions and the following disclaimer.
+#     * Redistributions in binary form must reproduce the above copyright
+#       notice, this list of conditions and the following disclaimer in the
+#       documentation and/or other materials provided with the distribution.
+#     * Neither the name of Intel Corporation nor the names of its contributors
+#       may be used to endorse or promote products derived from this software
+#       without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
+# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
 import numpy as np
 import mkl_random
 import pytest
@@ -94,6 +119,20 @@ def test_patched_names():
     finally:
         mkl_random.restore()
 
+def test_monkey_patch_strict_raises_attribute_error():
+    """
+    Test that strict mode raises AttributeError when patching non-existent names.
+    """
+    # Attempt to patch a clearly non-existent symbol in strict mode.
+    with pytest.raises(AttributeError):
+        mkl_random.monkey_patch(np, strict=True, names=["nonexistent_symbol"])
+
+def test_use_in_numpy_is_alias_for_monkey_patch():
+    """
+    Test that use_in_numpy is a backward-compatible alias for monkey_patch.
+    """
+    assert hasattr(mkl_random, "use_in_numpy")
+    assert mkl_random.use_in_numpy is mkl_random.monkey_patch
 
 def test_patch_redundant_patching():
     orig_normal = np.random.normal