BUG: resampling DataFrame with DateTimeIndex with holes and `uint64` columns leads to error on `pandas==1.3.2` (not in `1.2.5`)
- [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.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example

```python
import numpy as np
import pandas as pd

# Data generation: DataFrame with DateTimeIndex, one row per hour, values are 0 or 1.
df = pd.DataFrame(index=pd.date_range(start="2000-01-01", end="2000-01-03 23", freq="H"), columns=["x"], data=[0, 1, 0] * 24)

# Removing some rows in order to have a hole in the dataset
df = df.loc[(df.index < "2000-01-02") | (df.index > "2000-01-03"), :]

# Create dummy indicator
one_hot = pd.get_dummies(df["x"])  # This line leads to having "RuntimeError: empty group with uint64_t"
# one_hot = pd.get_dummies(df["x"], dtype=int)  # This line leads to having expected dataframe

# Keeping, for each day, the maximum day value.
df_output = one_hot.resample("D").max()

# Expected_dataframe: 
df_expected = pd.DataFrame(
    index=pd.date_range(start="2000-01-01", end="2000-01-03", freq="D"),
    data={col: [1, np.nan, 1] for col in [0,1]}
)
pd.testing.assert_frame_equal(df_expected, df_output)
```

#### Problem description

With `pandas=1.3.2`, above code block leads to "RuntimeError: empty group with uint64_t". It was not the case with `pandas==1.1.0` for instance. Not an issue for me (problem solved specifying `dtype`), but probably an issue to solve.

#### Expected Output

Given in code sample section

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : 5f648bf1706dd75a9ca0d29f26eadfbb595fe52b
python           : 3.8.5.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.4.72-microsoft-standard-WSL2
Version          : #1 SMP Wed Oct 28 23:40:43 UTC 2020
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : C.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.2
numpy            : 1.21.2
pytz             : 2021.1
dateutil         : 2.8.2
pip              : 21.2.4
setuptools       : 57.4.0
Cython           : None
pytest           : 6.2.5
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : 7.27.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.4.3
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.7.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
