chore: use temp_file instead of ensure_clean in test

pandas/tests/io/parser/test_encoding.py

@@ -9,7 +9,6 @@
 )
 import os
 import tempfile
-import uuid
 
 import numpy as np
 import pytest
@@ -51,28 +50,26 @@ def test_read_csv_unicode(all_parsers):
 @skip_pyarrow
 @pytest.mark.parametrize("sep", [",", "\t"])
 @pytest.mark.parametrize("encoding", ["utf-16", "utf-16le", "utf-16be"])
-def test_utf16_bom_skiprows(all_parsers, sep, encoding):
+def test_utf16_bom_skiprows(all_parsers, sep, encoding, temp_file):
     # see gh-2298
     parser = all_parsers
     data = """skip this
 skip this too
 A,B,C
 1,2,3
 4,5,6""".replace(",", sep)
-    path = f"__{uuid.uuid4()}__.csv"
     kwargs = {"sep": sep, "skiprows": 2}
     utf8 = "utf-8"
 
-    with tm.ensure_clean(path) as path:
-        bytes_data = data.encode(encoding)
+    bytes_data = data.encode(encoding)
 
-        with open(path, "wb") as f:
-            f.write(bytes_data)
+    with open(temp_file, "wb") as f:
+        f.write(bytes_data)
 
-        with TextIOWrapper(BytesIO(data.encode(utf8)), encoding=utf8) as bytes_buffer:
-            result = parser.read_csv(path, encoding=encoding, **kwargs)
-            expected = parser.read_csv(bytes_buffer, encoding=utf8, **kwargs)
-        tm.assert_frame_equal(result, expected)
+    with TextIOWrapper(BytesIO(data.encode(utf8)), encoding=utf8) as bytes_buffer:
+        result = parser.read_csv(temp_file, encoding=encoding, **kwargs)
+        expected = parser.read_csv(bytes_buffer, encoding=utf8, **kwargs)
+    tm.assert_frame_equal(result, expected)
 
 
 def test_utf16_example(all_parsers, csv_dir_path):
@@ -240,7 +237,7 @@ def test_parse_encoded_special_characters(encoding):
 
 
 @pytest.mark.parametrize("encoding", ["utf-8", None, "utf-16", "cp1255", "latin-1"])
-def test_encoding_memory_map(all_parsers, encoding):
+def test_encoding_memory_map(all_parsers, encoding, temp_file):
     # GH40986
     parser = all_parsers
     expected = DataFrame(
@@ -250,20 +247,19 @@ def test_encoding_memory_map(all_parsers, encoding):
             "weapon": ["sai", "bo staff", "nunchunk", "katana"],
         }
     )
-    with tm.ensure_clean() as file:
-        expected.to_csv(file, index=False, encoding=encoding)
+    expected.to_csv(temp_file, index=False, encoding=encoding)
 
-        if parser.engine == "pyarrow":
-            msg = "The 'memory_map' option is not supported with the 'pyarrow' engine"
-            with pytest.raises(ValueError, match=msg):
-                parser.read_csv(file, encoding=encoding, memory_map=True)
-            return
+    if parser.engine == "pyarrow":
+        msg = "The 'memory_map' option is not supported with the 'pyarrow' engine"
+        with pytest.raises(ValueError, match=msg):
+            parser.read_csv(temp_file, encoding=encoding, memory_map=True)
+        return
 
-        df = parser.read_csv(file, encoding=encoding, memory_map=True)
+    df = parser.read_csv(temp_file, encoding=encoding, memory_map=True)
     tm.assert_frame_equal(df, expected)
 
 
-def test_chunk_splits_multibyte_char(all_parsers):
+def test_chunk_splits_multibyte_char(all_parsers, temp_file):
     """
     Chunk splits a multibyte character with memory_map=True
 
@@ -276,20 +272,19 @@ def test_chunk_splits_multibyte_char(all_parsers):
     # Put two-bytes utf-8 encoded character "ą" at the end of chunk
     # utf-8 encoding of "ą" is b'\xc4\x85'
     df.iloc[2047] = "a" * 127 + "ą"
-    with tm.ensure_clean("bug-gh43540.csv") as fname:
-        df.to_csv(fname, index=False, header=False, encoding="utf-8")
+    df.to_csv(temp_file, index=False, header=False, encoding="utf-8")
 
-        if parser.engine == "pyarrow":
-            msg = "The 'memory_map' option is not supported with the 'pyarrow' engine"
-            with pytest.raises(ValueError, match=msg):
-                parser.read_csv(fname, header=None, memory_map=True)
-            return
+    if parser.engine == "pyarrow":
+        msg = "The 'memory_map' option is not supported with the 'pyarrow' engine"
+        with pytest.raises(ValueError, match=msg):
+            parser.read_csv(temp_file, header=None, memory_map=True)
+        return
 
-        dfr = parser.read_csv(fname, header=None, memory_map=True)
+    dfr = parser.read_csv(temp_file, header=None, memory_map=True)
     tm.assert_frame_equal(dfr, df)
 
 
-def test_readcsv_memmap_utf8(all_parsers):
+def test_readcsv_memmap_utf8(all_parsers, temp_file):
     """
     GH 43787
 
@@ -310,16 +305,15 @@ def test_readcsv_memmap_utf8(all_parsers):
         lines.append(line)
     parser = all_parsers
     df = DataFrame(lines)
-    with tm.ensure_clean("utf8test.csv") as fname:
-        df.to_csv(fname, index=False, header=False, encoding="utf-8")
+    df.to_csv(temp_file, index=False, header=False, encoding="utf-8")
 
-        if parser.engine == "pyarrow":
-            msg = "The 'memory_map' option is not supported with the 'pyarrow' engine"
-            with pytest.raises(ValueError, match=msg):
-                parser.read_csv(fname, header=None, memory_map=True, encoding="utf-8")
-            return
+    if parser.engine == "pyarrow":
+        msg = "The 'memory_map' option is not supported with the 'pyarrow' engine"
+        with pytest.raises(ValueError, match=msg):
+            parser.read_csv(temp_file, header=None, memory_map=True, encoding="utf-8")
+        return
 
-        dfr = parser.read_csv(fname, header=None, memory_map=True, encoding="utf-8")
+    dfr = parser.read_csv(temp_file, header=None, memory_map=True, encoding="utf-8")
     tm.assert_frame_equal(df, dfr)
 
 

pandas/tests/io/xml/test_xml_dtypes.py

@@ -31,11 +31,10 @@ def iterparse(request):
     return request.param
 
 
-def read_xml_iterparse(data, **kwargs):
-    with tm.ensure_clean() as path:
-        with open(path, "w", encoding="utf-8") as f:
-            f.write(data)
-        return read_xml(path, **kwargs)
+def read_xml_iterparse(data, temp_file, **kwargs):
+    with open(temp_file, "w", encoding="utf-8") as f:
+        f.write(data)
+    return read_xml(temp_file, **kwargs)
 
 
 xml_types = """\
@@ -84,13 +83,14 @@ def read_xml_iterparse(data, **kwargs):
 # DTYPE
 
 
-def test_dtype_single_str(parser):
+def test_dtype_single_str(parser, temp_file):
     df_result = read_xml(StringIO(xml_types), dtype={"degrees": "str"}, parser=parser)
     df_iter = read_xml_iterparse(
         xml_types,
         parser=parser,
         dtype={"degrees": "str"},
         iterparse={"row": ["shape", "degrees", "sides"]},
+        temp_file=temp_file,
     )
 
     df_expected = DataFrame(
@@ -105,13 +105,14 @@ def test_dtype_single_str(parser):
     tm.assert_frame_equal(df_iter, df_expected)
 
 
-def test_dtypes_all_str(parser):
+def test_dtypes_all_str(parser, temp_file):
     df_result = read_xml(StringIO(xml_dates), dtype="string", parser=parser)
     df_iter = read_xml_iterparse(
         xml_dates,
         parser=parser,
         dtype="string",
         iterparse={"row": ["shape", "degrees", "sides", "date"]},
+        temp_file=temp_file,
     )
 
     df_expected = DataFrame(
@@ -128,7 +129,7 @@ def test_dtypes_all_str(parser):
     tm.assert_frame_equal(df_iter, df_expected)
 
 
-def test_dtypes_with_names(parser):
+def test_dtypes_with_names(parser, temp_file):
     df_result = read_xml(
         StringIO(xml_dates),
         names=["Col1", "Col2", "Col3", "Col4"],
@@ -141,6 +142,7 @@ def test_dtypes_with_names(parser):
         names=["Col1", "Col2", "Col3", "Col4"],
         dtype={"Col2": "string", "Col3": "Int64", "Col4": "datetime64[ns]"},
         iterparse={"row": ["shape", "degrees", "sides", "date"]},
+        temp_file=temp_file,
     )
 
     df_expected = DataFrame(
@@ -158,13 +160,14 @@ def test_dtypes_with_names(parser):
     tm.assert_frame_equal(df_iter, df_expected)
 
 
-def test_dtype_nullable_int(parser):
+def test_dtype_nullable_int(parser, temp_file):
     df_result = read_xml(StringIO(xml_types), dtype={"sides": "Int64"}, parser=parser)
     df_iter = read_xml_iterparse(
         xml_types,
         parser=parser,
         dtype={"sides": "Int64"},
         iterparse={"row": ["shape", "degrees", "sides"]},
+        temp_file=temp_file,
     )
 
     df_expected = DataFrame(
@@ -179,13 +182,14 @@ def test_dtype_nullable_int(parser):
     tm.assert_frame_equal(df_iter, df_expected)
 
 
-def test_dtype_float(parser):
+def test_dtype_float(parser, temp_file):
     df_result = read_xml(StringIO(xml_types), dtype={"degrees": "float"}, parser=parser)
     df_iter = read_xml_iterparse(
         xml_types,
         parser=parser,
         dtype={"degrees": "float"},
         iterparse={"row": ["shape", "degrees", "sides"]},
+        temp_file=temp_file,
     )
 
     df_expected = DataFrame(
@@ -209,7 +213,7 @@ def test_wrong_dtype(xml_books, parser, iterparse):
         )
 
 
-def test_both_dtype_converters(parser):
+def test_both_dtype_converters(parser, temp_file):
     df_expected = DataFrame(
         {
             "shape": ["square", "circle", "triangle"],
@@ -231,6 +235,7 @@ def test_both_dtype_converters(parser):
             converters={"degrees": str},
             parser=parser,
             iterparse={"row": ["shape", "degrees", "sides"]},
+            temp_file=temp_file,
         )
 
         tm.assert_frame_equal(df_result, df_expected)
@@ -240,7 +245,7 @@ def test_both_dtype_converters(parser):
 # CONVERTERS
 
 
-def test_converters_str(parser):
+def test_converters_str(parser, temp_file):
     df_result = read_xml(
         StringIO(xml_types), converters={"degrees": str}, parser=parser
     )
@@ -249,6 +254,7 @@ def test_converters_str(parser):
         parser=parser,
         converters={"degrees": str},
         iterparse={"row": ["shape", "degrees", "sides"]},
+        temp_file=temp_file,
     )
 
     df_expected = DataFrame(
@@ -263,7 +269,7 @@ def test_converters_str(parser):
     tm.assert_frame_equal(df_iter, df_expected)
 
 
-def test_converters_date(parser):
+def test_converters_date(parser, temp_file):
     convert_to_datetime = lambda x: to_datetime(x)
     df_result = read_xml(
         StringIO(xml_dates), converters={"date": convert_to_datetime}, parser=parser
@@ -273,6 +279,7 @@ def test_converters_date(parser):
         parser=parser,
         converters={"date": convert_to_datetime},
         iterparse={"row": ["shape", "degrees", "sides", "date"]},
+        temp_file=temp_file,
     )
 
     df_expected = DataFrame(
@@ -312,13 +319,14 @@ def test_callable_str_converters(xml_books, parser, iterparse):
 # PARSE DATES
 
 
-def test_parse_dates_column_name(parser):
+def test_parse_dates_column_name(parser, temp_file):
     df_result = read_xml(StringIO(xml_dates), parse_dates=["date"], parser=parser)
     df_iter = read_xml_iterparse(
         xml_dates,
         parser=parser,
         parse_dates=["date"],
         iterparse={"row": ["shape", "degrees", "sides", "date"]},
+        temp_file=temp_file,
     )
 
     df_expected = DataFrame(
@@ -334,13 +342,14 @@ def test_parse_dates_column_name(parser):
     tm.assert_frame_equal(df_iter, df_expected)
 
 
-def test_parse_dates_column_index(parser):
+def test_parse_dates_column_index(parser, temp_file):
     df_result = read_xml(StringIO(xml_dates), parse_dates=[3], parser=parser)
     df_iter = read_xml_iterparse(
         xml_dates,
         parser=parser,
         parse_dates=[3],
         iterparse={"row": ["shape", "degrees", "sides", "date"]},
+        temp_file=temp_file,
     )
 
     df_expected = DataFrame(
@@ -356,14 +365,15 @@ def test_parse_dates_column_index(parser):
     tm.assert_frame_equal(df_iter, df_expected)
 
 
-def test_parse_dates_true(parser):
+def test_parse_dates_true(parser, temp_file):
     df_result = read_xml(StringIO(xml_dates), parse_dates=True, parser=parser)
 
     df_iter = read_xml_iterparse(
         xml_dates,
         parser=parser,
         parse_dates=True,
         iterparse={"row": ["shape", "degrees", "sides", "date"]},
+        temp_file=temp_file,
     )
 
     df_expected = DataFrame(
@@ -379,7 +389,7 @@ def test_parse_dates_true(parser):
     tm.assert_frame_equal(df_iter, df_expected)
 
 
-def test_day_first_parse_dates(parser):
+def test_day_first_parse_dates(parser, temp_file):
     xml = """\
 <?xml version='1.0' encoding='utf-8'?>
 <data>
@@ -421,6 +431,7 @@ def test_day_first_parse_dates(parser):
             parse_dates=["date"],
             parser=parser,
             iterparse={"row": ["shape", "degrees", "sides", "date"]},
+            temp_file=temp_file,
         )
 
         tm.assert_frame_equal(df_result, df_expected)