BUG: Spearman correlation is broken (dtype mismatch) on 32-bit platforms
### 

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

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


### Reproducible Example

```python
import pandas as pd
d = DataFrame([1.0, 2.0])
d.corr(method='spearman')
```


### Issue Description

Calling the `corr` method of a `DataFrame` with `method='spearman'` produces a ValueError due to a buffer dtype mismatch on 32-bit platforms.

```
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib/python3.10/site-packages/pandas/core/frame.py", line 9376, in corr
    correl = libalgos.nancorr_spearman(mat, minp=min_periods)
  File "pandas/_libs/algos.pyx", line 415, in pandas._libs.algos.nancorr_spearman
  File "pandas/_libs/algos.pyx", line 938, in pandas._libs.algos.rank_1d
ValueError: Buffer dtype mismatch, expected 'const intp_t' but got 'long long'
```

If I have some time, I’ll look into this further and try to offer a PR. The problem was discovered due to a failing test in `pingouin` (https://github.com/raphaelvallat/pingouin/issues/197).

I have reproduced this on both 32-bit x86 and 32-bit ARM. While my “installed versions” are those currently in Fedora Rawhide, including Pandas 1.3.0, I did build an RPM for Pandas 1.3.3 and reproduce with that too.

### Expected Behavior

```
     0
0  1.0
```

### Installed Versions

<details>

INSTALLED VERSIONS
------------------
commit           : f00ed8f47020034e752baf0250483053340971b0
python           : 3.10.0.candidate.2
python-bits      : 32
OS               : Linux
OS-release       : 5.13.14-200.fc34.x86_64
Version          : #1 SMP Fri Sep 3 15:33:01 UTC 2021
machine          : armv7l
processor        : armv7l
byteorder        : little
LC_ALL           : None
LANG             : C.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.0
numpy            : 1.21.1
pytz             : 2021.1
dateutil         : 2.8.1
pip              : None
setuptools       : 57.4.0
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.6.3
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : 1.3.2
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.5.0b1
numexpr          : 2.7.1
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.7.0
sqlalchemy       : None
tables           : 3.6.1
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
