Tests fail when using NumPy 2.0

All the `titiler-xarray` tests fail when using NumPy 2.0, with `ERROR tests/test_app.py::test_get_variables_test - ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject`

Here's the full traceback for one of the failures:
```
_________________________________________________________________________________________ ERROR at setup of test_get_variables_test _________________________________________________________________________________________

monkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0x108495f10>

@pytest.fixture
def app(monkeypatch):
"""App fixture."""
monkeypatch.setenv("TITILER_XARRAY_DEBUG", "TRUE")
monkeypatch.setenv("TEST_ENVIRONMENT", "1")

> from titiler.xarray.main import app

tests/conftest.py:13:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
titiler/xarray/main.py:5: in
import rioxarray
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/rioxarray/__init__.py:5: in
import rioxarray.raster_array # noqa
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/rioxarray/raster_array.py:22: in
import xarray
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/xarray/__init__.py:3: in
from xarray import testing, tutorial
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/xarray/testing/__init__.py:1: in
from xarray.testing.assertions import ( # noqa: F401
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/xarray/testing/assertions.py:9: in
import pandas as pd
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/pandas/__init__.py:22: in
from pandas.compat import is_numpy_dev as _is_numpy_dev # pyright: ignore # noqa:F401
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/pandas/compat/__init__.py:18: in
from pandas.compat.numpy import (
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/pandas/compat/numpy/__init__.py:4: in
from pandas.util.version import Version
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/pandas/util/__init__.py:2: in
from pandas.util._decorators import ( # noqa:F401
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/pandas/util/_decorators.py:14: in
from pandas._libs.properties import cache_readonly
/Users/max/miniforge3/envs/titiler-xarray/lib/python3.11/site-packages/pandas/_libs/__init__.py:13: in
from pandas._libs.interval import Interval
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

> ???
E ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

pandas/_libs/interval.pyx:1: ValueError

```

These is likely a Pandas issue, but I'm just raising an issue for now until I have more time to look into it. I'm going to open a separate PR to temporarily pin NumPy to unblock some work.