Pandas BUG: DatetimeIndex creation with BusinessHour frequency fails when first hour of the day is not included as Timestamp

Pandas version checks

[X] I have checked that this issue has not already been reported.
[X] I have confirmed this bug exists on the latest version of pandas. (confirmed on 1.5.1, 1.5.2 is not yet available on pip)
[X] I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd
freq = pd.offsets.BusinessHour(start="9:00", end="17:00")
x = pd.DatetimeIndex(["20200106 09:00"], name="time", freq=freq)  # Works
x = pd.DatetimeIndex(["20200106 09:00","20200106 10:00"], name="time", freq=freq) # Works
x = pd.DatetimeIndex(["20200106 10:00"], name="time", freq=freq) # Fails

Issue Description

Creation of DatetimeIndex with BusinessHour frequency fails when the ts_input arg to DatetimeIndex does not start at BusinessHour start time, resulting in the following error:

Traceback (most recent call last):
  File "C:\Users\...\site-packages\pandas\core\arrays\datetimelike.py", line 962, in _validate_frequency
    raise ValueError
ValueError

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\...\site-packages\pandas\core\indexes\datetimes.py", line 327, in __new__
    dtarr = DatetimeArray._from_sequence_not_strict(
  File "C:\Users\...\site-packages\pandas\core\arrays\datetimes.py", line 377, in _from_sequence_not_strict
    cls._validate_frequency(result, freq, ambiguous=ambiguous)
  File "C:\Users\...\site-packages\pandas\core\arrays\datetimelike.py", line 973, in _validate_frequency
    raise ValueError(
ValueError: Inferred frequency None from passed values does not conform to passed frequency BH

Expected Behavior

Returns the specified Timestamp without error.

Installed Versions

INSTALLED VERSIONS ------------------ commit : e8093ba372f9adfe79439d90fe74b0b5b6dea9d6 python : 3.10.4.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19045 machine : AMD64 processor : Intel64 Family 6 Model 167 Stepping 1, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : German_Austria.1252 pandas : 1.4.3 numpy : 1.22.4 pytz : 2022.4 dateutil : 2.8.2 setuptools : 59.8.0 pip : 22.2.2 Cython : 0.29.32 pytest : 7.2.0 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : 2.9.4 jinja2 : None IPython : 8.5.0 pandas_datareader: None bs4 : None bottleneck : None brotli : None fastparquet : None fsspec : 2022.8.2 gcsfs : None markupsafe : 2.1.1 matplotlib : 3.6.0 numba : 0.56.2 numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : 1.9.1 snappy : None sqlalchemy : 1.4.41 tables : None tabulate : None xarray : 2022.9.0 xlrd : None xlwt : None zstandard : None