nebius/SWE-bench-extra huggingface dataset:
Repository: corteva/rioxarray

Issue:
rasterio DatasetReader complex_int16 incompatible with auto chunking of dask (rioxarray.open_rasterio)
#### Code Sample, a copy-pastable example if possible

```python
import numpy as np
import rasterio
import rioxarray

filename = "complex_int16.tiff"

with rasterio.open(filename, mode='w', width=16, height=16, count=1, dtype="complex_int16") as writer:
    writer.write(np.array([[[ i*j for j in range(16)] for i in range(16)]]))

rioxarray.open_rasterio(filename, chunks=True)
```

#### Problem description

When opening a file with `rioxarray.open_rasterio` passing `chunks=True`, `rasterio.DatasetReader` can have `"complex_int16"` dtype, that is incompatible with `dask.core.normalize_chunk` dtype parameter (line 682 in `rioxarray._io`) and cause `TypeError: data type 'complex_int16' not understood`.

rasterio manage `complex_int16` when reading data with `rasterio.dtypes._getnpdtype` and `rasterio.dtypes._is_complex_int` to translate internal `complex_int16` to `np.complex64` .

#### Expected Output

`rioxarray.open_rasterio` should work and provide a `xarray.DataArray` with `np.complex64` dtype in the case of processing a rasterio file with `complex_int16` dtype.

#### Environment Information

- Tested with rioxarray >= 0.10.2
- rasterio ==1.2.10
- Python 3.9.9
- Linux-5.13.0-51-generic-x86_64-with-glibc2.31

#### Installation method
 - `pip install rioxarray==${TARGET_VERSION}`


Comments:

Patch:
diff --git a/docs/history.rst b/docs/history.rst
index 94fa691..7563f87 100644
--- a/docs/history.rst
+++ b/docs/history.rst
@@ -4,6 +4,7 @@ History
 Latest
 ------
 - BUG: Fix reading file handle with dask (issue #550)
+- BUG: Fix reading cint16 files with dask (issue #542)
 
 0.11.1
 ------
diff --git a/rioxarray/_io.py b/rioxarray/_io.py
index 2b48629..fc26efd 100644
--- a/rioxarray/_io.py
+++ b/rioxarray/_io.py
@@ -680,7 +680,7 @@ def _prepare_dask(
         chunks = normalize_chunks(
             chunks=(1, "auto", "auto"),
             shape=(riods.count, riods.height, riods.width),
-            dtype=riods.dtypes[0],
+            dtype=_rasterio_to_numpy_dtype(riods.dtypes),
             previous_chunks=tuple((c,) for c in block_shape),
         )
     token = tokenize(filename, mtime, chunks)


Test patch:
diff --git a/test/integration/test_integration__io.py b/test/integration/test_integration__io.py
index 03ec767..52846fb 100644
--- a/test/integration/test_integration__io.py
+++ b/test/integration/test_integration__io.py
@@ -1314,3 +1314,9 @@ def test_read_file_handle_with_dask():
         os.path.join(TEST_COMPARE_DATA_DIR, "small_dem_3m_merged.tif"), "rb"
     ) as src:
         rioxarray.open_rasterio(src, chunks=2048)
+
+
+@cint_skip
+def test_read_cint16_with_dask():
+    test_file = os.path.join(TEST_INPUT_DATA_DIR, "cint16.tif")
+    rioxarray.open_rasterio(test_file, chunks=True)