some more cases

Signed-off-by: Anatoly Myachev <[email protected]>
modin-project · Aug 6, 2023 · 9b2dbe2 · 9b2dbe2
1 parent 05bfc84
commit 9b2dbe2
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Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/modin/experimental/pandas/test/test_io_exp.py b/modin/experimental/pandas/test/test_io_exp.py
@@ -159,8 +159,8 @@ def test_read_single_csv_with_parse_dates(self, parse_dates):
                 modin_df = pd.read_csv_glob(
                     time_parsing_csv_path, parse_dates=parse_dates
                 )
-                # Call __repr__ on the modin df to force it to materialize.
-                repr(modin_df)
+                # Call _to_pandas on the modin df to force it to materialize.
+                _ = modin_df._to_pandas()
             assert isinstance(
                 modin_exception.value, type(pandas_exception)
             ), "Got Modin Exception type {}, but pandas Exception type {} was expected".format(

diff --git a/modin/experimental/xgboost/test/test_dmatrix.py b/modin/experimental/xgboost/test/test_dmatrix.py
@@ -130,7 +130,7 @@ def test_feature_names():
     with pytest.raises(ValueError):
         booster.predict(dm)
     with pytest.raises(ValueError):
-        repr(md_booster.predict(md_dm))
+        _ = md_booster.predict(md_dm)._to_pandas()
 
 
 def test_feature_weights():

diff --git a/modin/test/storage_formats/pandas/test_internals.py b/modin/test/storage_formats/pandas/test_internals.py
@@ -155,7 +155,7 @@ def test_aligning_blocks():
     accm["T"] = pd.Series(["24.67\n"] * 145)
 
     # see #2322 for details
-    repr(accm)
+    _ = accm._to_pandas()
 
 
 def test_aligning_blocks_with_duplicated_index():
@@ -169,7 +169,7 @@ def test_aligning_blocks_with_duplicated_index():
     df1 = pd.concat((pd.DataFrame(data11), pd.DataFrame(data12)))
     df2 = pd.concat((pd.DataFrame(data21), pd.DataFrame(data22)))
 
-    repr(df1 - df2)
+    _ = (df1 - df2)._to_pandas()
 
 
 def test_aligning_partitions():
@@ -180,7 +180,7 @@ def test_aligning_partitions():
     modin_df2 = pd.concat((modin_df, modin_df))
 
     modin_df2["c"] = modin_df1["b"]
-    repr(modin_df2)
+    _ = modin_df2._to_pandas()
 
 
 @pytest.mark.parametrize("row_labels", [None, [("a", "")], ["a"]])