TST: Replace ensure_clean utility with temp_file pytest fixture (3 files)

pandas/tests/io/test_compression.py

@@ -1,7 +1,6 @@
 import gzip
 import io
 import os
-from pathlib import Path
 import subprocess
 import sys
 import tarfile
@@ -31,16 +30,16 @@
     ],
 )
 @pytest.mark.parametrize("method", ["to_pickle", "to_json", "to_csv"])
-def test_compression_size(obj, method, compression_only):
+def test_compression_size(obj, method, compression_only, temp_file):
     if compression_only == "tar":
         compression_only = {"method": "tar", "mode": "w:gz"}
 
-    with tm.ensure_clean() as path:
-        getattr(obj, method)(path, compression=compression_only)
-        compressed_size = os.path.getsize(path)
-        getattr(obj, method)(path, compression=None)
-        uncompressed_size = os.path.getsize(path)
-        assert uncompressed_size > compressed_size
+    path = temp_file
+    getattr(obj, method)(path, compression=compression_only)
+    compressed_size = os.path.getsize(path)
+    getattr(obj, method)(path, compression=None)
+    uncompressed_size = os.path.getsize(path)
+    assert uncompressed_size > compressed_size
 
 
 @pytest.mark.parametrize(
@@ -54,22 +53,25 @@ def test_compression_size(obj, method, compression_only):
     ],
 )
 @pytest.mark.parametrize("method", ["to_csv", "to_json"])
-def test_compression_size_fh(obj, method, compression_only):
-    with tm.ensure_clean() as path:
-        with icom.get_handle(
-            path,
-            "w:gz" if compression_only == "tar" else "w",
-            compression=compression_only,
-        ) as handles:
-            getattr(obj, method)(handles.handle)
-            assert not handles.handle.closed
-        compressed_size = os.path.getsize(path)
-    with tm.ensure_clean() as path:
-        with icom.get_handle(path, "w", compression=None) as handles:
-            getattr(obj, method)(handles.handle)
-            assert not handles.handle.closed
-        uncompressed_size = os.path.getsize(path)
-        assert uncompressed_size > compressed_size
+def test_compression_size_fh(obj, method, compression_only, temp_file):
+    path = temp_file
+    with icom.get_handle(
+        path,
+        "w:gz" if compression_only == "tar" else "w",
+        compression=compression_only,
+    ) as handles:
+        getattr(obj, method)(handles.handle)
+        assert not handles.handle.closed
+    compressed_size = os.path.getsize(path)
+
+    # Create a new temporary file for uncompressed comparison
+    path2 = temp_file.parent / f"{temp_file.stem}_uncompressed{temp_file.suffix}"
+    path2.touch()
+    with icom.get_handle(path2, "w", compression=None) as handles:
+        getattr(obj, method)(handles.handle)
+        assert not handles.handle.closed
+    uncompressed_size = os.path.getsize(path2)
+    assert uncompressed_size > compressed_size
 
 
 @pytest.mark.parametrize(
@@ -81,14 +83,19 @@ def test_compression_size_fh(obj, method, compression_only):
     ],
 )
 def test_dataframe_compression_defaults_to_infer(
-    write_method, write_kwargs, read_method, compression_only, compression_to_extension
+    write_method,
+    write_kwargs,
+    read_method,
+    compression_only,
+    compression_to_extension,
+    temp_file,
 ):
     # GH22004
     input = pd.DataFrame([[1.0, 0, -4], [3.4, 5, 2]], columns=["X", "Y", "Z"])
     extension = compression_to_extension[compression_only]
-    with tm.ensure_clean("compressed" + extension) as path:
-        getattr(input, write_method)(path, **write_kwargs)
-        output = read_method(path, compression=compression_only)
+    path = temp_file.parent / f"compressed{extension}"
+    getattr(input, write_method)(path, **write_kwargs)
+    output = read_method(path, compression=compression_only)
     tm.assert_frame_equal(output, input)
 
 
@@ -107,37 +114,38 @@ def test_series_compression_defaults_to_infer(
     read_kwargs,
     compression_only,
     compression_to_extension,
+    temp_file,
 ):
     # GH22004
     input = pd.Series([0, 5, -2, 10], name="X")
     extension = compression_to_extension[compression_only]
-    with tm.ensure_clean("compressed" + extension) as path:
-        getattr(input, write_method)(path, **write_kwargs)
-        if "squeeze" in read_kwargs:
-            kwargs = read_kwargs.copy()
-            del kwargs["squeeze"]
-            output = read_method(path, compression=compression_only, **kwargs).squeeze(
-                "columns"
-            )
-        else:
-            output = read_method(path, compression=compression_only, **read_kwargs)
+    path = temp_file.parent / f"compressed{extension}"
+    getattr(input, write_method)(path, **write_kwargs)
+    if "squeeze" in read_kwargs:
+        kwargs = read_kwargs.copy()
+        del kwargs["squeeze"]
+        output = read_method(path, compression=compression_only, **kwargs).squeeze(
+            "columns"
+        )
+    else:
+        output = read_method(path, compression=compression_only, **read_kwargs)
     tm.assert_series_equal(output, input, check_names=False)
 
 
-def test_compression_warning(compression_only):
+def test_compression_warning(compression_only, temp_file):
     # Assert that passing a file object to to_csv while explicitly specifying a
     # compression protocol triggers a RuntimeWarning, as per GH21227.
     df = pd.DataFrame(
         100 * [[0.123456, 0.234567, 0.567567], [12.32112, 123123.2, 321321.2]],
         columns=["X", "Y", "Z"],
     )
-    with tm.ensure_clean() as path:
-        with icom.get_handle(path, "w", compression=compression_only) as handles:
-            with tm.assert_produces_warning(RuntimeWarning, match="has no effect"):
-                df.to_csv(handles.handle, compression=compression_only)
+    path = temp_file
+    with icom.get_handle(path, "w", compression=compression_only) as handles:
+        with tm.assert_produces_warning(RuntimeWarning, match="has no effect"):
+            df.to_csv(handles.handle, compression=compression_only)
 
 
-def test_compression_binary(compression_only):
+def test_compression_binary(compression_only, temp_file):
     """
     Binary file handles support compression.
 
@@ -150,13 +158,13 @@ def test_compression_binary(compression_only):
     )
 
     # with a file
-    with tm.ensure_clean() as path:
-        with open(path, mode="wb") as file:
-            df.to_csv(file, mode="wb", compression=compression_only)
-            file.seek(0)  # file shouldn't be closed
-        tm.assert_frame_equal(
-            df, pd.read_csv(path, index_col=0, compression=compression_only)
-        )
+    path = temp_file
+    with open(path, mode="wb") as file:
+        df.to_csv(file, mode="wb", compression=compression_only)
+        file.seek(0)  # file shouldn't be closed
+    tm.assert_frame_equal(
+        df, pd.read_csv(path, index_col=0, compression=compression_only)
+    )
 
     # with BytesIO
     file = io.BytesIO()
@@ -167,7 +175,7 @@ def test_compression_binary(compression_only):
     )
 
 
-def test_gzip_reproducibility_file_name():
+def test_gzip_reproducibility_file_name(temp_file):
     """
     Gzip should create reproducible archives with mtime.
 
@@ -183,13 +191,12 @@ def test_gzip_reproducibility_file_name():
     compression_options = {"method": "gzip", "mtime": 1}
 
     # test for filename
-    with tm.ensure_clean() as path:
-        path = Path(path)
-        df.to_csv(path, compression=compression_options)
-        time.sleep(0.1)
-        output = path.read_bytes()
-        df.to_csv(path, compression=compression_options)
-        assert output == path.read_bytes()
+    path = temp_file
+    df.to_csv(path, compression=compression_options)
+    time.sleep(0.1)
+    output = path.read_bytes()
+    df.to_csv(path, compression=compression_options)
+    assert output == path.read_bytes()
 
 
 def test_gzip_reproducibility_file_object():
@@ -259,14 +266,14 @@ def test_with_missing_lzma_runtime():
     ],
 )
 @pytest.mark.parametrize("method", ["to_pickle", "to_json", "to_csv"])
-def test_gzip_compression_level(obj, method):
+def test_gzip_compression_level(obj, method, temp_file):
     # GH33196
-    with tm.ensure_clean() as path:
-        getattr(obj, method)(path, compression="gzip")
-        compressed_size_default = os.path.getsize(path)
-        getattr(obj, method)(path, compression={"method": "gzip", "compresslevel": 1})
-        compressed_size_fast = os.path.getsize(path)
-        assert compressed_size_default < compressed_size_fast
+    path = temp_file
+    getattr(obj, method)(path, compression="gzip")
+    compressed_size_default = os.path.getsize(path)
+    getattr(obj, method)(path, compression={"method": "gzip", "compresslevel": 1})
+    compressed_size_fast = os.path.getsize(path)
+    assert compressed_size_default < compressed_size_fast
 
 
 @pytest.mark.parametrize(
@@ -280,15 +287,15 @@ def test_gzip_compression_level(obj, method):
     ],
 )
 @pytest.mark.parametrize("method", ["to_pickle", "to_json", "to_csv"])
-def test_xz_compression_level_read(obj, method):
-    with tm.ensure_clean() as path:
-        getattr(obj, method)(path, compression="xz")
-        compressed_size_default = os.path.getsize(path)
-        getattr(obj, method)(path, compression={"method": "xz", "preset": 1})
-        compressed_size_fast = os.path.getsize(path)
-        assert compressed_size_default < compressed_size_fast
-        if method == "to_csv":
-            pd.read_csv(path, compression="xz")
+def test_xz_compression_level_read(obj, method, temp_file):
+    path = temp_file
+    getattr(obj, method)(path, compression="xz")
+    compressed_size_default = os.path.getsize(path)
+    getattr(obj, method)(path, compression={"method": "xz", "preset": 1})
+    compressed_size_fast = os.path.getsize(path)
+    assert compressed_size_default < compressed_size_fast
+    if method == "to_csv":
+        pd.read_csv(path, compression="xz")
 
 
 @pytest.mark.parametrize(
@@ -302,13 +309,13 @@ def test_xz_compression_level_read(obj, method):
     ],
 )
 @pytest.mark.parametrize("method", ["to_pickle", "to_json", "to_csv"])
-def test_bzip_compression_level(obj, method):
+def test_bzip_compression_level(obj, method, temp_file):
     """GH33196 bzip needs file size > 100k to show a size difference between
     compression levels, so here we just check if the call works when
     compression is passed as a dict.
     """
-    with tm.ensure_clean() as path:
-        getattr(obj, method)(path, compression={"method": "bz2", "compresslevel": 1})
+    path = temp_file
+    getattr(obj, method)(path, compression={"method": "bz2", "compresslevel": 1})
 
 
 @pytest.mark.parametrize(
@@ -318,21 +325,21 @@ def test_bzip_compression_level(obj, method):
         (".tar", tarfile.TarFile),
     ],
 )
-def test_empty_archive_zip(suffix, archive):
-    with tm.ensure_clean(filename=suffix) as path:
-        with archive(path, "w"):
-            pass
-        with pytest.raises(ValueError, match="Zero files found"):
-            pd.read_csv(path)
+def test_empty_archive_zip(suffix, archive, temp_file):
+    path = temp_file.parent / f"archive{suffix}"
+    with archive(path, "w"):
+        pass
+    with pytest.raises(ValueError, match="Zero files found"):
+        pd.read_csv(path)
 
 
-def test_ambiguous_archive_zip():
-    with tm.ensure_clean(filename=".zip") as path:
-        with zipfile.ZipFile(path, "w") as file:
-            file.writestr("a.csv", "foo,bar")
-            file.writestr("b.csv", "foo,bar")
-        with pytest.raises(ValueError, match="Multiple files found in ZIP file"):
-            pd.read_csv(path)
+def test_ambiguous_archive_zip(temp_file):
+    path = temp_file.parent / "archive.zip"
+    with zipfile.ZipFile(path, "w") as file:
+        file.writestr("a.csv", "foo,bar")
+        file.writestr("b.csv", "foo,bar")
+    with pytest.raises(ValueError, match="Multiple files found in ZIP file"):
+        pd.read_csv(path)
 
 
 def test_ambiguous_archive_tar(tmp_path):
@@ -352,24 +359,24 @@ def test_ambiguous_archive_tar(tmp_path):
         pd.read_csv(tarpath)
 
 
-def test_tar_gz_to_different_filename():
-    with tm.ensure_clean(filename=".foo") as file:
-        pd.DataFrame(
-            [["1", "2"]],
-            columns=["foo", "bar"],
-        ).to_csv(file, compression={"method": "tar", "mode": "w:gz"}, index=False)
-        with gzip.open(file) as uncompressed:
-            with tarfile.TarFile(fileobj=uncompressed) as archive:
-                members = archive.getmembers()
-                assert len(members) == 1
-                content = archive.extractfile(members[0]).read().decode("utf8")
-
-                if is_platform_windows():
-                    expected = "foo,bar\r\n1,2\r\n"
-                else:
-                    expected = "foo,bar\n1,2\n"
-
-                assert content == expected
+def test_tar_gz_to_different_filename(temp_file):
+    file = temp_file.parent / "archive.foo"
+    pd.DataFrame(
+        [["1", "2"]],
+        columns=["foo", "bar"],
+    ).to_csv(file, compression={"method": "tar", "mode": "w:gz"}, index=False)
+    with gzip.open(file) as uncompressed:
+        with tarfile.TarFile(fileobj=uncompressed) as archive:
+            members = archive.getmembers()
+            assert len(members) == 1
+            content = archive.extractfile(members[0]).read().decode("utf8")
+
+            if is_platform_windows():
+                expected = "foo,bar\r\n1,2\r\n"
+            else:
+                expected = "foo,bar\n1,2\n"
+
+            assert content == expected
 
 
 def test_tar_no_error_on_close():