TST: Replace ensure_clean utility with temp_file pytest fixture (2 files) (#62546)

Author: sanggon6107

pandas/tests/io/json/test_compression.py

@@ -12,22 +12,21 @@
 import pandas._testing as tm
 
 
-def test_compression_roundtrip(compression):
+def test_compression_roundtrip(compression, temp_file):
     df = pd.DataFrame(
         [[0.123456, 0.234567, 0.567567], [12.32112, 123123.2, 321321.2]],
         index=["A", "B"],
         columns=["X", "Y", "Z"],
     )
 
-    with tm.ensure_clean() as path:
-        df.to_json(path, compression=compression)
-        tm.assert_frame_equal(df, pd.read_json(path, compression=compression))
+    df.to_json(temp_file, compression=compression)
+    tm.assert_frame_equal(df, pd.read_json(temp_file, compression=compression))
 
-        # explicitly ensure file was compressed.
-        with tm.decompress_file(path, compression) as fh:
-            result = fh.read().decode("utf8")
-            data = StringIO(result)
-        tm.assert_frame_equal(df, pd.read_json(data))
+    # explicitly ensure file was compressed.
+    with tm.decompress_file(temp_file, compression) as fh:
+        result = fh.read().decode("utf8")
+        data = StringIO(result)
+    tm.assert_frame_equal(df, pd.read_json(data))
 
 
 def test_read_zipped_json(datapath):
@@ -43,15 +42,14 @@ def test_read_zipped_json(datapath):
 @td.skip_if_not_us_locale
 @pytest.mark.single_cpu
 @pytest.mark.network
-def test_with_s3_url(compression, s3_bucket_public, s3so):
+def test_with_s3_url(compression, s3_bucket_public, s3so, temp_file):
     # Bucket created in tests/io/conftest.py
     df = pd.read_json(StringIO('{"a": [1, 2, 3], "b": [4, 5, 6]}'))
 
     key = f"{uuid.uuid4()}.json"
-    with tm.ensure_clean() as path:
-        df.to_json(path, compression=compression)
-        with open(path, "rb") as f:
-            s3_bucket_public.put_object(Key=key, Body=f)
+    df.to_json(temp_file, compression=compression)
+    with open(temp_file, "rb") as f:
+        s3_bucket_public.put_object(Key=key, Body=f)
 
     roundtripped_df = pd.read_json(
         f"s3://{s3_bucket_public.name}/{key}",
@@ -61,39 +59,35 @@ def test_with_s3_url(compression, s3_bucket_public, s3so):
     tm.assert_frame_equal(df, roundtripped_df)
 
 
-def test_lines_with_compression(compression):
-    with tm.ensure_clean() as path:
-        df = pd.read_json(StringIO('{"a": [1, 2, 3], "b": [4, 5, 6]}'))
-        df.to_json(path, orient="records", lines=True, compression=compression)
-        roundtripped_df = pd.read_json(path, lines=True, compression=compression)
-        tm.assert_frame_equal(df, roundtripped_df)
+def test_lines_with_compression(compression, temp_file):
+    df = pd.read_json(StringIO('{"a": [1, 2, 3], "b": [4, 5, 6]}'))
+    df.to_json(temp_file, orient="records", lines=True, compression=compression)
+    roundtripped_df = pd.read_json(temp_file, lines=True, compression=compression)
+    tm.assert_frame_equal(df, roundtripped_df)
 
 
-def test_chunksize_with_compression(compression):
-    with tm.ensure_clean() as path:
-        df = pd.read_json(StringIO('{"a": ["foo", "bar", "baz"], "b": [4, 5, 6]}'))
-        df.to_json(path, orient="records", lines=True, compression=compression)
+def test_chunksize_with_compression(compression, temp_file):
+    df = pd.read_json(StringIO('{"a": ["foo", "bar", "baz"], "b": [4, 5, 6]}'))
+    df.to_json(temp_file, orient="records", lines=True, compression=compression)
 
-        with pd.read_json(
-            path, lines=True, chunksize=1, compression=compression
-        ) as res:
-            roundtripped_df = pd.concat(res)
-        tm.assert_frame_equal(df, roundtripped_df)
+    with pd.read_json(
+        temp_file, lines=True, chunksize=1, compression=compression
+    ) as res:
+        roundtripped_df = pd.concat(res)
+    tm.assert_frame_equal(df, roundtripped_df)
 
 
-def test_write_unsupported_compression_type():
+def test_write_unsupported_compression_type(temp_file):
     df = pd.read_json(StringIO('{"a": [1, 2, 3], "b": [4, 5, 6]}'))
-    with tm.ensure_clean() as path:
-        msg = "Unrecognized compression type: unsupported"
-        with pytest.raises(ValueError, match=msg):
-            df.to_json(path, compression="unsupported")
+    msg = "Unrecognized compression type: unsupported"
+    with pytest.raises(ValueError, match=msg):
+        df.to_json(temp_file, compression="unsupported")
 
 
-def test_read_unsupported_compression_type():
-    with tm.ensure_clean() as path:
-        msg = "Unrecognized compression type: unsupported"
-        with pytest.raises(ValueError, match=msg):
-            pd.read_json(path, compression="unsupported")
+def test_read_unsupported_compression_type(temp_file):
+    msg = "Unrecognized compression type: unsupported"
+    with pytest.raises(ValueError, match=msg):
+        pd.read_json(temp_file, compression="unsupported")
 
 
 @pytest.mark.parametrize(
@@ -102,25 +96,28 @@ def test_read_unsupported_compression_type():
 @pytest.mark.parametrize("to_infer", [True, False])
 @pytest.mark.parametrize("read_infer", [True, False])
 def test_to_json_compression(
-    compression_only, read_infer, to_infer, compression_to_extension, infer_string
+    compression_only,
+    read_infer,
+    to_infer,
+    compression_to_extension,
+    infer_string,
+    tmp_path,
 ):
     with pd.option_context("future.infer_string", infer_string):
         # see gh-15008
         compression = compression_only
 
         # We'll complete file extension subsequently.
-        filename = "test."
-        filename += compression_to_extension[compression]
+        filename = tmp_path / f"test.{compression_to_extension[compression]}"
 
         df = pd.DataFrame({"A": [1]})
 
         to_compression = "infer" if to_infer else compression
         read_compression = "infer" if read_infer else compression
 
-        with tm.ensure_clean(filename) as path:
-            df.to_json(path, compression=to_compression)
-            result = pd.read_json(path, compression=read_compression)
-            tm.assert_frame_equal(result, df)
+        df.to_json(filename, compression=to_compression)
+        result = pd.read_json(filename, compression=read_compression)
+        tm.assert_frame_equal(result, df)
 
 
 def test_to_json_compression_mode(compression):

pandas/tests/io/json/test_pandas.py

@@ -806,11 +806,10 @@ def test_reconstruction_index(self):
         result = read_json(StringIO(df.to_json()))
         tm.assert_frame_equal(result, df)
 
-    def test_path(self, float_frame, int_frame, datetime_frame):
-        with tm.ensure_clean("test.json") as path:
-            for df in [float_frame, int_frame, datetime_frame]:
-                df.to_json(path)
-                read_json(path)
+    def test_path(self, float_frame, int_frame, datetime_frame, temp_file):
+        for df in [float_frame, int_frame, datetime_frame]:
+            df.to_json(temp_file)
+            read_json(temp_file)
 
     def test_axis_dates(self, datetime_series, datetime_frame):
         # frame
@@ -1423,14 +1422,13 @@ def test_read_s3_jsonl(self, s3_bucket_public_with_data, s3so):
         expected = DataFrame([[1, 2], [1, 2]], columns=["a", "b"])
         tm.assert_frame_equal(result, expected)
 
-    def test_read_local_jsonl(self):
+    def test_read_local_jsonl(self, temp_file):
         # GH17200
-        with tm.ensure_clean("tmp_items.json") as path:
-            with open(path, "w", encoding="utf-8") as infile:
-                infile.write('{"a": 1, "b": 2}\n{"b":2, "a" :1}\n')
-            result = read_json(path, lines=True)
-            expected = DataFrame([[1, 2], [1, 2]], columns=["a", "b"])
-            tm.assert_frame_equal(result, expected)
+        with open(temp_file, "w", encoding="utf-8") as infile:
+            infile.write('{"a": 1, "b": 2}\n{"b":2, "a" :1}\n')
+        result = read_json(temp_file, lines=True)
+        expected = DataFrame([[1, 2], [1, 2]], columns=["a", "b"])
+        tm.assert_frame_equal(result, expected)
 
     def test_read_jsonl_unicode_chars(self):
         # GH15132: non-ascii unicode characters
@@ -1526,17 +1524,16 @@ def test_to_jsonl(self):
         ],
     )
     @pytest.mark.parametrize("dtype", ["category", object])
-    def test_latin_encoding(self, dtype, val):
+    def test_latin_encoding(self, dtype, val, temp_file):
         # GH 13774
         ser = Series(
             [x.decode("latin-1") if isinstance(x, bytes) else x for x in val],
             dtype=dtype,
         )
         encoding = "latin-1"
-        with tm.ensure_clean("test.json") as path:
-            ser.to_json(path, encoding=encoding)
-            retr = read_json(StringIO(path), encoding=encoding)
-            tm.assert_series_equal(ser, retr, check_categorical=False)
+        ser.to_json(temp_file, encoding=encoding)
+        retr = read_json(StringIO(temp_file), encoding=encoding)
+        tm.assert_series_equal(ser, retr, check_categorical=False)
 
     def test_data_frame_size_after_to_json(self):
         # GH15344