File: fix-tests.patch

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sklearn-pandas 2.2.0-6
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--- a/README.rst
+++ b/README.rst
@@ -229,7 +229,7 @@
     array([[2015,   10,   30],
            [2015,   10,   31],
            [2015,   11,    1],
-           [2015,   11,    2]])
+           [2015,   11,    2]], dtype=int32)
 
 We can also specify this option per group of columns instead of for the
 whole mapper::
@@ -241,7 +241,7 @@
   array([[2015,   10,   30],
          [2015,   10,   31],
          [2015,   11,    1],
-         [2015,   11,    2]])
+         [2015,   11,    2]], dtype=int32)
 
 Outputting a dataframe
 **********************
--- a/tests/test_dataframe_mapper.py
+++ b/tests/test_dataframe_mapper.py
@@ -340,8 +340,8 @@
     transformed = mapper.fit_transform(df)
     cols = transformed.columns
     assert len(cols) == 4
-    assert cols[0] == 'target_x0_0'
-    assert cols[3] == 'target_x0_3'
+    assert cols[0] == 'target_0'
+    assert cols[3] == 'target_3'
 
 
 def test_customtransform_df():
@@ -917,8 +917,8 @@
 
     columns = sorted(list(outdf.columns))
     assert len(columns) == 2
-    assert columns[0] == 'colA_a'
-    assert columns[1] == 'colA_b'
+    assert columns[0] == 'colA_0'
+    assert columns[1] == 'colA_1'
 
 
 def test_with_car_dataframe(cars_dataframe):