From e9f8daf4daded01f804aee648f3fe0e1e9acf31b Mon Sep 17 00:00:00 2001
From: Max Halford <maxhalford25@gmail.com>
Date: Thu, 2 Nov 2023 17:37:53 +0100
Subject: [PATCH] fix tests

---
 .github/workflows/delete-caches.yml |  2 +-
 river/anomaly/sad.py                | 20 ++++++++++----------
 2 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/.github/workflows/delete-caches.yml b/.github/workflows/delete-caches.yml
index 96fc9f892e..e4bedb060b 100644
--- a/.github/workflows/delete-caches.yml
+++ b/.github/workflows/delete-caches.yml
@@ -7,7 +7,7 @@ on:
 jobs:
   my-job:
     name: Delete all caches
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
 
     steps:
       - name: Clear caches
diff --git a/river/anomaly/sad.py b/river/anomaly/sad.py
index ae691d9a16..6b5b52d429 100644
--- a/river/anomaly/sad.py
+++ b/river/anomaly/sad.py
@@ -35,27 +35,27 @@ class StandardAbsoluteDeviation(anomaly.base.SupervisedAnomalyDetector):
     Examples
     --------
 
-    >>> import numpy as np
+    >>> import random
     >>> from river import anomaly
+    >>> from river import stats
     >>> from river import stream
 
-    >>> np.random.seed(42)
+    >>> rng = random.Random(42)
 
-    >>> X = np.random.randn(150)
+    >>> model = anomaly.StandardAbsoluteDeviation(sub_stat=stats.Mean())
 
-    >>> model = anomaly.StandardAbsoluteDeviation(sub_stat="mean")
-
-    >>> for x in X:
-    ...     model = model.learn_one(None, x)
+    >>> for _ in range(150):
+    ...     y = rng.gauss(0, 1)
+    ...     model = model.learn_one(None, y)
 
     >>> model.score_one(None, 2)
-    2.209735291993561
+    2.057...
 
     >>> model.score_one(None, 0)
-    0.08736408615569183
+    0.084...
 
     >>> model.score_one(None, 1)
-    1.1485496890746263
+    0.986...
 
     """