From 89fd01d633de5f9c5c330a7697a14d60d8c36368 Mon Sep 17 00:00:00 2001
From: Brock <jbrockmendel@gmail.com>
Date: Thu, 16 Nov 2023 12:47:46 -0800
Subject: [PATCH] CLN: remove no-longer-needed

---
 pandas/core/arrays/datetimelike.py | 33 ------------------------------
 pandas/core/indexes/timedeltas.py  |  3 +--
 2 files changed, 1 insertion(+), 35 deletions(-)

diff --git a/pandas/core/arrays/datetimelike.py b/pandas/core/arrays/datetimelike.py
index f0b9219682350..a88f40013b3f6 100644
--- a/pandas/core/arrays/datetimelike.py
+++ b/pandas/core/arrays/datetimelike.py
@@ -2483,11 +2483,6 @@ def _validate_inferred_freq(
     Returns
     -------
     freq : DateOffset or None
-
-    Notes
-    -----
-    We assume at this point that `maybe_infer_freq` has been called, so
-    `freq` is either a DateOffset object or None.
     """
     if inferred_freq is not None:
         if freq is not None and freq != inferred_freq:
@@ -2502,34 +2497,6 @@ def _validate_inferred_freq(
     return freq
 
 
-def maybe_infer_freq(freq) -> tuple[BaseOffset | None, bool]:
-    """
-    Comparing a DateOffset to the string "infer" raises, so we need to
-    be careful about comparisons.  Make a dummy variable `freq_infer` to
-    signify the case where the given freq is "infer" and set freq to None
-    to avoid comparison trouble later on.
-
-    Parameters
-    ----------
-    freq : {DateOffset, None, str}
-
-    Returns
-    -------
-    freq : {DateOffset, None}
-    freq_infer : bool
-        Whether we should inherit the freq of passed data.
-    """
-    freq_infer = False
-    if not isinstance(freq, BaseOffset):
-        # if a passed freq is None, don't infer automatically
-        if freq != "infer":
-            freq = to_offset(freq)
-        else:
-            freq_infer = True
-            freq = None
-    return freq, freq_infer
-
-
 def dtype_to_unit(dtype: DatetimeTZDtype | np.dtype) -> str:
     """
     Return the unit str corresponding to the dtype's resolution.
diff --git a/pandas/core/indexes/timedeltas.py b/pandas/core/indexes/timedeltas.py
index 9d8ef5b0a69cd..d33e704d24c9f 100644
--- a/pandas/core/indexes/timedeltas.py
+++ b/pandas/core/indexes/timedeltas.py
@@ -22,7 +22,6 @@
 )
 from pandas.core.dtypes.generic import ABCSeries
 
-from pandas.core.arrays import datetimelike as dtl
 from pandas.core.arrays.timedeltas import TimedeltaArray
 import pandas.core.common as com
 from pandas.core.indexes.base import (
@@ -338,7 +337,7 @@ def timedelta_range(
     if freq is None and com.any_none(periods, start, end):
         freq = "D"
 
-    freq, _ = dtl.maybe_infer_freq(freq)
+    freq = to_offset(freq)
     tdarr = TimedeltaArray._generate_range(
         start, end, periods, freq, closed=closed, unit=unit
     )