From d91c118e0110767859bc6d616fd36640e6d076a5 Mon Sep 17 00:00:00 2001
From: "Thomas J. Fan" <thomasjpfan@gmail.com>
Date: Mon, 7 Aug 2023 14:14:11 -0400
Subject: [PATCH] MNT Use assert_no_warnings from numpy.testing

---
 sklearn/utils/_testing.py | 28 ++--------------------------
 1 file changed, 2 insertions(+), 26 deletions(-)

diff --git a/sklearn/utils/_testing.py b/sklearn/utils/_testing.py
index 8b54df9f25b72..bf558ff7e6dd4 100644
--- a/sklearn/utils/_testing.py
+++ b/sklearn/utils/_testing.py
@@ -38,6 +38,7 @@
     assert_array_almost_equal,
     assert_array_equal,
     assert_array_less,
+    assert_no_warnings,
 )
 
 import sklearn
@@ -65,6 +66,7 @@
     "assert_approx_equal",
     "assert_allclose",
     "assert_run_python_script",
+    "assert_no_warnings",
     "SkipTest",
 ]
 
@@ -80,32 +82,6 @@
 assert_raises_regexp = assert_raises_regex
 
 
-# To remove when we support numpy 1.7
-def assert_no_warnings(func, *args, **kw):
-    """
-    Parameters
-    ----------
-    func
-    *args
-    **kw
-    """
-    # very important to avoid uncontrolled state propagation
-    with warnings.catch_warnings(record=True) as w:
-        warnings.simplefilter("always")
-
-        result = func(*args, **kw)
-        if hasattr(np, "FutureWarning"):
-            # Filter out numpy-specific warnings in numpy >= 1.9
-            w = [e for e in w if e.category is not np.VisibleDeprecationWarning]
-
-        if len(w) > 0:
-            raise AssertionError(
-                "Got warnings when calling %s: [%s]"
-                % (func.__name__, ", ".join(str(warning) for warning in w))
-            )
-    return result
-
-
 def ignore_warnings(obj=None, category=Warning):
     """Context manager and decorator to ignore warnings.