revert caching stacklevel

Author: MarcoGorelli

doc/source/development/contributing_codebase.rst

@@ -139,7 +139,7 @@ Otherwise, you need to do it manually:
         warnings.warn(
             'Use new_func instead.',
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         new_func()
 

doc/source/whatsnew/v1.5.1.rst

@@ -86,6 +86,7 @@ Fixed regressions
 - Fixed regression in :meth:`DataFrame.apply` when passing non-zero ``axis`` via keyword argument (:issue:`48656`)
 - Fixed regression in :meth:`Series.groupby` and :meth:`DataFrame.groupby` when the grouper is a nullable data type (e.g. :class:`Int64`) or a PyArrow-backed string array, contains null values, and ``dropna=False`` (:issue:`48794`)
 - Fixed regression in :class:`ExcelWriter` where the ``book`` attribute could no longer be set; however setting this attribute is now deprecated and this ability will be removed in a future version of pandas (:issue:`48780`)
+- Fixed regression causing memory leak when finding stacklevel when emitting warnings (:issue:`49052`)
 
 .. ---------------------------------------------------------------------------
 

pandas/_config/config.py

@@ -54,7 +54,6 @@
     ContextDecorator,
     contextmanager,
 )
-import inspect
 import re
 from typing import (
     Any,
@@ -662,7 +661,7 @@ def _warn_if_deprecated(key: str) -> bool:
             warnings.warn(
                 d.msg,
                 FutureWarning,
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
         else:
             msg = f"'{key}' is deprecated"
@@ -673,9 +672,7 @@ def _warn_if_deprecated(key: str) -> bool:
             else:
                 msg += ", please refrain from using it."
 
-            warnings.warn(
-                msg, FutureWarning, stacklevel=find_stack_level(inspect.currentframe())
-            )
+            warnings.warn(msg, FutureWarning, stacklevel=find_stack_level())
         return True
     return False
 

pandas/_libs/parsers.pyx

@@ -972,7 +972,7 @@ cdef class TextReader:
                     "Defining usecols with out of bounds indices is deprecated "
                     "and will raise a ParserError in a future version.",
                     FutureWarning,
-                    stacklevel=find_stack_level(inspect.currentframe()),
+                    stacklevel=find_stack_level(),
                 )
 
         results = {}
@@ -1023,7 +1023,7 @@ cdef class TextReader:
                     warnings.warn((f"Both a converter and dtype were specified "
                                    f"for column {name} - only the converter will "
                                    f"be used."), ParserWarning,
-                                  stacklevel=find_stack_level(inspect.currentframe()))
+                                  stacklevel=find_stack_level())
                 results[i] = _apply_converter(conv, self.parser, i, start, end)
                 continue
 

pandas/_libs/tslib.pyx

@@ -1,4 +1,3 @@
-import inspect
 import warnings
 
 cimport cython
@@ -845,7 +844,7 @@ cdef inline bint _parse_today_now(str val, int64_t* iresult, bint utc):
                 "deprecated. In a future version, this will match Timestamp('now') "
                 "and Timestamp.now()",
                 FutureWarning,
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
 
         return True

pandas/_libs/tslibs/conversion.pyx

@@ -1,4 +1,3 @@
-import inspect
 import warnings
 
 import numpy as np
@@ -275,7 +274,7 @@ cdef _TSObject convert_to_tsobject(object ts, tzinfo tz, str unit,
                         "Conversion of non-round float with unit={unit} is ambiguous "
                         "and will raise in a future version.",
                         FutureWarning,
-                        stacklevel=find_stack_level(inspect.currentframe()),
+                        stacklevel=find_stack_level(),
                     )
 
             ts = cast_from_unit(ts, unit)

pandas/_libs/tslibs/nattype.pyx

@@ -1,4 +1,3 @@
-import inspect
 import warnings
 
 from pandas.util._exceptions import find_stack_level
@@ -134,7 +133,7 @@ cdef class _NaT(datetime):
                 "order to match the standard library behavior. "
                 "In a future version these will be considered non-comparable.",
                 FutureWarning,
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
             return False
 
@@ -378,7 +377,7 @@ class NaTType(_NaT):
         warnings.warn(
             "NaT.freq is deprecated and will be removed in a future version.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return None
 

pandas/_libs/tslibs/offsets.pyx

@@ -1,4 +1,3 @@
-import inspect
 import re
 import time
 import warnings
@@ -501,7 +500,7 @@ cdef class BaseOffset:
             "DateOffset.__call__ is deprecated and will be removed in a future "
             "version.  Use `offset + other` instead.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return self._apply(other)
 
@@ -511,7 +510,7 @@ cdef class BaseOffset:
             f"{type(self).__name__}.apply is deprecated and will be removed "
             "in a future version. Use `offset + other` instead",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return self._apply(other)
 
@@ -825,15 +824,15 @@ cdef class BaseOffset:
         warnings.warn(
             "onOffset is a deprecated, use is_on_offset instead.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return self.is_on_offset(dt)
 
     def isAnchored(self) -> bool:
         warnings.warn(
             "isAnchored is a deprecated, use is_anchored instead.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return self.is_anchored()
 

pandas/_libs/tslibs/parsing.pyx

@@ -1,7 +1,6 @@
 """
 Parsing functions for datetime and datetime-like strings.
 """
-import inspect
 import re
 import time
 import warnings
@@ -218,15 +217,15 @@ cdef inline object _parse_delimited_date(str date_string, bint dayfirst):
                     format='MM/DD/YYYY',
                     dayfirst='True',
                 ),
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
         elif not dayfirst and swapped_day_and_month:
             warnings.warn(
                 PARSING_WARNING_MSG.format(
                     format='DD/MM/YYYY',
                     dayfirst='False (the default)',
                 ),
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
         # In Python <= 3.6.0 there is no range checking for invalid dates
         # in C api, thus we call faster C version for 3.6.1 or newer

pandas/_libs/tslibs/period.pyx

@@ -1,4 +1,3 @@
-import inspect
 import warnings
 
 from pandas.util._exceptions import find_stack_level
@@ -1830,7 +1829,7 @@ cdef class _Period(PeriodMixin):
                 "be removed in a future version.  Use "
                 "`per.to_timestamp(...).tz_localize(tz)` instead.",
                 FutureWarning,
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
 
         how = validate_end_alias(how)