diff --git a/.github/workflows/testing.yml b/.github/workflows/testing.yml
index e6ab48423..5f047366d 100644
--- a/.github/workflows/testing.yml
+++ b/.github/workflows/testing.yml
@@ -73,7 +73,9 @@ jobs:
         env:
           DEPS_VERSION: ${{ matrix.dependencies-version }}
       - shell: bash {0}
-        run: $GITHUB_WORKSPACE/build_tools/github/test.sh
+        run: |
+          cp $GITHUB_WORKSPACE/pyproject.toml .
+          $GITHUB_WORKSPACE/build_tools/github/test.sh
         working-directory: ${{ runner.temp }}
         name: 'Run tests'
       - uses: codecov/codecov-action@v3
diff --git a/pyproject.toml b/pyproject.toml
index 3afcafd38..3a182a710 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -39,3 +39,4 @@ filterwarnings = [
     'ignore:elementwise\ comparison\ failed:FutureWarning',
 ]
 addopts = "--doctest-modules"
+doctest_optionflags = "NORMALIZE_WHITESPACE ELLIPSIS"
diff --git a/skrub/_agg_joiner.py b/skrub/_agg_joiner.py
index 16b55fcc5..ed369964b 100644
--- a/skrub/_agg_joiner.py
+++ b/skrub/_agg_joiner.py
@@ -428,7 +428,6 @@ class AggTarget(BaseEstimator, TransformerMixin):
     3         4             2  ...               1        0.66...
     4         5             2  ...               1        0.66...
     5         6             2  ...               1        1.00...
-    <BLANKLINE>
     [6 rows x 6 columns]
     """
 
diff --git a/skrub/_table_vectorizer.py b/skrub/_table_vectorizer.py
index f7478d03c..535819a18 100644
--- a/skrub/_table_vectorizer.py
+++ b/skrub/_table_vectorizer.py
@@ -344,7 +344,6 @@ class TableVectorizer(TransformerMixin, _BaseComposition):
     0      F        POL  ...       09/22/1986             1986
     1      M        POL  ...       09/12/1988             1988
     2      F        HHS  ...       11/19/1989             1989
-    <BLANKLINE>
     [3 rows x 8 columns]
 
     >>> tv = TableVectorizer()
diff --git a/skrub/datasets/_ken_embeddings.py b/skrub/datasets/_ken_embeddings.py
index c43f3272e..658d0678e 100644
--- a/skrub/datasets/_ken_embeddings.py
+++ b/skrub/datasets/_ken_embeddings.py
@@ -224,7 +224,6 @@ def fetch_ken_embeddings(
     2                  Frankenstein  ... -0.11...
     3                 Albert_Wesker  ... -0.16...
     4  Harukanaru_Toki_no_Naka_de_3  ...  0.14...
-    <BLANKLINE>
     [5 rows x 202 columns]
 
     Extracts all embeddings with the "games" type.
@@ -241,7 +240,6 @@ def fetch_ken_embeddings(
     2                 Li_Xiayan  ...  0.00...
     3             Vampire_Night  ... -0.14...
     4               Shatterhand  ...  0.19...
-    <BLANKLINE>
     [5 rows x 202 columns]
 
     It takes less time to load the wanted output, and is more precise as the