Backport PR pandas-dev#56615: CI: Fix deprecation warnings

meeseeksmachine · Dec 25, 2023 · e9130eb · e9130eb
1 parent b59e594
commit e9130eb
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Showing 3 changed files with 5 additions and 6 deletions.
diff --git a/pandas/tests/io/parser/common/test_chunksize.py b/pandas/tests/io/parser/common/test_chunksize.py
@@ -223,7 +223,7 @@ def test_chunks_have_consistent_numerical_type(all_parsers, monkeypatch):
     warn = None
     if parser.engine == "pyarrow":
         warn = DeprecationWarning
-    depr_msg = "Passing a BlockManager to DataFrame"
+    depr_msg = "Passing a BlockManager to DataFrame|make_block is deprecated"
     with tm.assert_produces_warning(warn, match=depr_msg, check_stacklevel=False):
         with monkeypatch.context() as m:
             m.setattr(libparsers, "DEFAULT_BUFFER_HEURISTIC", heuristic)
@@ -254,7 +254,8 @@ def test_warn_if_chunks_have_mismatched_type(all_parsers):
     if parser.engine == "pyarrow":
         df = parser.read_csv_check_warnings(
             DeprecationWarning,
-            "Passing a BlockManager to DataFrame is deprecated",
+            "Passing a BlockManager to DataFrame is deprecated|"
+            "make_block is deprecated",
             buf,
             check_stacklevel=False,
         )

diff --git a/pandas/tests/io/parser/common/test_read_errors.py b/pandas/tests/io/parser/common/test_read_errors.py
@@ -171,7 +171,7 @@ def test_suppress_error_output(all_parsers):
     warn = None
     if parser.engine == "pyarrow":
         warn = DeprecationWarning
-    msg = "Passing a BlockManager to DataFrame"
+    msg = "Passing a BlockManager to DataFrame|make_block is deprecated"
 
     with tm.assert_produces_warning(warn, match=msg, check_stacklevel=False):
         result = parser.read_csv(StringIO(data), on_bad_lines="skip")

diff --git a/pandas/tests/io/test_parquet.py b/pandas/tests/io/test_parquet.py
@@ -1000,9 +1000,7 @@ def test_filter_row_groups(self, pa):
         df = pd.DataFrame({"a": list(range(3))})
         with tm.ensure_clean() as path:
             df.to_parquet(path, engine=pa)
-            result = read_parquet(
-                path, pa, filters=[("a", "==", 0)], use_legacy_dataset=False
-            )
+            result = read_parquet(path, pa, filters=[("a", "==", 0)])
         assert len(result) == 1
 
     def test_read_parquet_manager(self, pa, using_array_manager):