TST: Clean contexts (#57571)

* Remove use_numexpr

* remove return_filelike in ensure_clean

* Start using temp_file

* Use more unique name?'

* Fix failure

* remove from all

doc/source/development/contributing_codebase.rst

@@ -596,14 +596,15 @@ with the specific exception subclass (i.e. never use :py:class:`Exception`) and
 Testing involving files
 ^^^^^^^^^^^^^^^^^^^^^^^
 
-The ``tm.ensure_clean`` context manager creates a temporary file for testing,
-with a generated filename (or your filename if provided), that is automatically
-deleted when the context block is exited.
+The ``temp_file`` pytest fixture creates a temporary file :py:class:`Pathlib` object for testing:
 
 .. code-block:: python
 
-    with tm.ensure_clean('my_file_path') as path:
-        # do something with the path
+    def test_something(temp_file):
+        pd.DataFrame([1]).to_csv(str(temp_file))
+
+Please reference `pytest's documentation <https://docs.pytest.org/en/latest/how-to/tmp_path.html#the-default-base-temporary-directory>`_
+for the file retension policy.
 
 Testing involving network connectivity
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

pandas/_testing/__init__.py

@@ -76,7 +76,6 @@
     ensure_clean,
     raises_chained_assignment_error,
     set_timezone,
-    use_numexpr,
     with_csv_dialect,
 )
 from pandas.core.arrays import (
@@ -628,7 +627,6 @@ def shares_memory(left, right) -> bool:
     "to_array",
     "UNSIGNED_INT_EA_DTYPES",
     "UNSIGNED_INT_NUMPY_DTYPES",
-    "use_numexpr",
     "with_csv_dialect",
     "write_to_compressed",
 ]

pandas/_testing/contexts.py

@@ -16,8 +16,6 @@
 from pandas.compat import PYPY
 from pandas.errors import ChainedAssignmentError
 
-from pandas import set_option
-
 from pandas.io.common import get_handle
 
 if TYPE_CHECKING:
@@ -95,9 +93,7 @@ def setTZ(tz) -> None:
 
 
 @contextmanager
-def ensure_clean(
-    filename=None, return_filelike: bool = False, **kwargs: Any
-) -> Generator[Any, None, None]:
+def ensure_clean(filename=None) -> Generator[Any, None, None]:
     """
     Gets a temporary path and agrees to remove on close.
 
@@ -109,12 +105,6 @@ def ensure_clean(
     ----------
     filename : str (optional)
         suffix of the created file.
-    return_filelike : bool (default False)
-        if True, returns a file-like which is *always* cleaned. Necessary for
-        savefig and other functions which want to append extensions.
-    **kwargs
-        Additional keywords are passed to open().
-
     """
     folder = Path(tempfile.gettempdir())
 
@@ -125,19 +115,11 @@ def ensure_clean(
 
     path.touch()
 
-    handle_or_str: str | IO = str(path)
-    encoding = kwargs.pop("encoding", None)
-    if return_filelike:
-        kwargs.setdefault("mode", "w+b")
-        if encoding is None and "b" not in kwargs["mode"]:
-            encoding = "utf-8"
-        handle_or_str = open(path, encoding=encoding, **kwargs)
+    handle_or_str = str(path)
 
     try:
         yield handle_or_str
     finally:
-        if not isinstance(handle_or_str, str):
-            handle_or_str.close()
         if path.is_file():
             path.unlink()
 
@@ -176,24 +158,6 @@ def with_csv_dialect(name: str, **kwargs) -> Generator[None, None, None]:
         csv.unregister_dialect(name)
 
 
-@contextmanager
-def use_numexpr(use, min_elements=None) -> Generator[None, None, None]:
-    from pandas.core.computation import expressions as expr
-
-    if min_elements is None:
-        min_elements = expr._MIN_ELEMENTS
-
-    olduse = expr.USE_NUMEXPR
-    oldmin = expr._MIN_ELEMENTS
-    set_option("compute.use_numexpr", use)
-    expr._MIN_ELEMENTS = min_elements
-    try:
-        yield
-    finally:
-        expr._MIN_ELEMENTS = oldmin
-        set_option("compute.use_numexpr", olduse)
-
-
 def raises_chained_assignment_error(warn=True, extra_warnings=(), extra_match=()):
     from pandas._testing import assert_produces_warning
 

pandas/conftest.py

@@ -35,6 +35,7 @@
     TYPE_CHECKING,
     Callable,
 )
+import uuid
 
 from dateutil.tz import (
     tzlocal,
@@ -2020,3 +2021,14 @@ def arrow_string_storage():
     Fixture that lists possible PyArrow values for StringDtype storage field.
     """
     return ("pyarrow", "pyarrow_numpy")
+
+
+@pytest.fixture
+def temp_file(tmp_path):
+    """
+    Generate a unique file for testing use. See link for removal policy.
+    https://docs.pytest.org/en/7.1.x/how-to/tmp_path.html#the-default-base-temporary-directory
+    """
+    file_path = tmp_path / str(uuid.uuid4())
+    file_path.touch()
+    return file_path