Update the version of numpy to 1.23.2.

* Updated the numpy version.
* Synced the pandas version.

In Python 3.10, if you invoke `pip install pandas~=1.1.4 numpy~=1.21.4` and then `import pandas` you get the following error:

```
>>> import pandas
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/tmp/venv/lib/python3.10/site-packages/pandas/__init__.py", line 30, in <module>
    from pandas._libs import hashtable as _hashtable, lib as _lib, tslib as _tslib
  File "/tmp/venv/lib/python3.10/site-packages/pandas/_libs/__init__.py", line 13, in <module>
    from pandas._libs.interval import Interval
  File "pandas/_libs/interval.pyx", line 1, in init pandas._libs.interval
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
```

I believe that this is the cause of the issue https://github.com/scikit-learn-contrib/hdbscan/issues/457#issuecomment-773671043

PiperOrigin-RevId: 467952859

requirements.txt

@@ -4,7 +4,7 @@ dm-tree~=0.1.7
 dp-accounting~=0.1.2
 matplotlib~=3.3.4
 mpmath~=1.2.1
-numpy~=1.21.4
+numpy~=1.23.2
 pandas~=1.4.3
 scikit-learn~=1.0.2
 scipy~=1.7.1

setup.py

@@ -32,8 +32,8 @@ setup(
         'dm-tree~=0.1.7',
         'dp-accounting~=0.1.2',
         'matplotlib~=3.3.4',
-        'numpy~=1.21.4',
-        'pandas~=1.1.4',
+        'numpy~=1.23.2',
+        'pandas~=1.4.3',
         'scikit-learn~=1.0.2',
         'scipy~=1.7.1',
         'tensorflow-datasets~=4.5.2',

tensorflow_privacy/version.py

@@ -13,4 +13,4 @@
 # limitations under the License.
 """TensorFlow Privacy version."""
 
-__version__ = '0.8.4'
+__version__ = '0.8.5'