REVERT caching in find_stack_level

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()
 

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
@@ -847,7 +846,7 @@ 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
@@ -286,7 +285,7 @@ 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)

pandas/_libs/tslibs/timedeltas.pyx

@@ -1,5 +1,4 @@
 import collections
-import inspect
 import warnings
 
 from pandas.util._exceptions import find_stack_level
@@ -687,7 +686,7 @@ cdef inline timedelta_from_spec(object number, object frac, object unit):
             "Units 'M', 'Y' and 'y' do not represent unambiguous "
             "timedelta values and will be removed in a future version.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
 
     if unit == 'M':
@@ -1066,7 +1065,7 @@ cdef class _Timedelta(timedelta):
         warnings.warn(
             "Timedelta.freq is deprecated and will be removed in a future version",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return None
 
@@ -1082,7 +1081,7 @@ cdef class _Timedelta(timedelta):
         warnings.warn(
             "Timedelta.is_populated is deprecated and will be removed in a future version",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return self._is_populated
 
@@ -1289,7 +1288,7 @@ cdef class _Timedelta(timedelta):
         warnings.warn(
             "Timedelta.delta is deprecated and will be removed in a future version.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return self.value
 

pandas/_libs/tslibs/timestamps.pyx

@@ -6,7 +6,6 @@ construction requirements, we need to do object instantiation in python
 (see Timestamp class below). This will serve as a C extension type that
 shadows the python class, where we do any heavy lifting.
 """
-import inspect
 import warnings
 
 cimport cython
@@ -251,7 +250,7 @@ cdef class _Timestamp(ABCTimestamp):
         warnings.warn(
             "Timestamp.freq is deprecated and will be removed in a future version.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return self._freq
 
@@ -371,7 +370,7 @@ cdef class _Timestamp(ABCTimestamp):
                 "In a future version these will be considered non-comparable. "
                 "Use 'ts == pd.Timestamp(date)' or 'ts.date() == date' instead.",
                 FutureWarning,
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
             return NotImplemented
         else:
@@ -626,7 +625,7 @@ cdef class _Timestamp(ABCTimestamp):
                     "version. When you have a freq, use "
                     f"freq.{field}(timestamp) instead.",
                     FutureWarning,
-                    stacklevel=find_stack_level(inspect.currentframe()),
+                    stacklevel=find_stack_level(),
                 )
 
     @property
@@ -1132,7 +1131,7 @@ cdef class _Timestamp(ABCTimestamp):
         """
         if self.nanosecond != 0 and warn:
             warnings.warn("Discarding nonzero nanoseconds in conversion.",
-                          UserWarning, stacklevel=find_stack_level(inspect.currentframe()))
+                          UserWarning, stacklevel=find_stack_level())
 
         return datetime(self.year, self.month, self.day,
                         self.hour, self.minute, self.second,
@@ -1211,7 +1210,7 @@ cdef class _Timestamp(ABCTimestamp):
             warnings.warn(
                 "Converting to Period representation will drop timezone information.",
                 UserWarning,
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
 
         if freq is None:
@@ -1220,7 +1219,7 @@ cdef class _Timestamp(ABCTimestamp):
                 "In a future version, calling 'Timestamp.to_period()' without "
                 "passing a 'freq' will raise an exception.",
                 FutureWarning,
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
 
         return Period(self, freq=freq)
@@ -1412,7 +1411,7 @@ class Timestamp(_Timestamp):
             "Timestamp.utcfromtimestamp(ts).tz_localize(None). "
             "To get the future behavior, use Timestamp.fromtimestamp(ts, 'UTC')",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return cls(datetime.utcfromtimestamp(ts))
 
@@ -1648,7 +1647,7 @@ class Timestamp(_Timestamp):
                 "as a wall time, not a UTC time.  To interpret as a UTC time, "
                 "use `Timestamp(dt64).tz_localize('UTC').tz_convert(tz)`",
                 FutureWarning,
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
             # Once this deprecation is enforced, we can do
             #  return Timestamp(ts_input).tz_localize(tzobj)
@@ -1671,7 +1670,7 @@ class Timestamp(_Timestamp):
                 "The 'freq' argument in Timestamp is deprecated and will be "
                 "removed in a future version.",
                 FutureWarning,
-                stacklevel=find_stack_level(inspect.currentframe()),
+                stacklevel=find_stack_level(),
             )
             if not is_offset_object(freq):
                 freq = to_offset(freq)
@@ -2007,7 +2006,7 @@ timedelta}, default 'raise'
         warnings.warn(
             "Timestamp.freqstr is deprecated and will be removed in a future version.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         return self._freqstr
 

pandas/_testing/asserters.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import inspect
 from typing import (
     Literal,
     cast,
@@ -113,7 +112,7 @@ def assert_almost_equal(
             "is deprecated and will be removed in a future version. "
             "You can stop passing 'check_less_precise' to silence this warning.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         rtol = atol = _get_tol_from_less_precise(check_less_precise)
 
@@ -340,7 +339,7 @@ def _get_ilevel_values(index, level):
             "is deprecated and will be removed in a future version. "
             "You can stop passing 'check_less_precise' to silence this warning.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         rtol = atol = _get_tol_from_less_precise(check_less_precise)
 
@@ -830,7 +829,7 @@ def assert_extension_array_equal(
             "is deprecated and will be removed in a future version. "
             "You can stop passing 'check_less_precise' to silence this warning.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         rtol = atol = _get_tol_from_less_precise(check_less_precise)
 
@@ -985,7 +984,7 @@ def assert_series_equal(
             "is deprecated and will be removed in a future version. "
             "You can stop passing 'check_less_precise' to silence this warning.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         rtol = atol = _get_tol_from_less_precise(check_less_precise)
 
@@ -1278,7 +1277,7 @@ def assert_frame_equal(
             "is deprecated and will be removed in a future version. "
             "You can stop passing 'check_less_precise' to silence this warning.",
             FutureWarning,
-            stacklevel=find_stack_level(inspect.currentframe()),
+            stacklevel=find_stack_level(),
         )
         rtol = atol = _get_tol_from_less_precise(check_less_precise)
 

pandas/compat/_optional.py

@@ -1,7 +1,6 @@
 from __future__ import annotations
 
 import importlib
-import inspect
 import sys
 import types
 import warnings
@@ -165,7 +164,7 @@ def import_optional_dependency(
                 warnings.warn(
                     msg,
                     UserWarning,
-                    stacklevel=find_stack_level(inspect.currentframe()),
+                    stacklevel=find_stack_level(),
                 )
                 return None
             elif errors == "raise":