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Co-authored-by: payno <payno@users.noreply.github.com>

Author: t20100

doc/usage.rst

@@ -134,12 +134,12 @@ Zstd
 Get dataset compression
 +++++++++++++++++++++++
 
-For compression filters provided by HDF5 and `h5py`_ (i.e., GZIP, LZF, SZIP),
+For **built-in** compression filters (i.e., GZIP, LZF, SZIP),
 dataset compression configuration can be retrieved with `h5py.Dataset`_'s
 `compression <https://docs.h5py.org/en/stable/high/dataset.html#h5py.Dataset.compression>`_ and
 `compression_opts <https://docs.h5py.org/en/stable/high/dataset.html#h5py.Dataset.compression_opts>`_ properties.
 
-For third-party compression filters such as the one supported by `hdf5plugin`,
+For **third-party** compression filters such as the one supported by `hdf5plugin`,
 the dataset compression configuration is stored in HDF5
 `filter pipeline <https://docs.h5py.org/en/stable/high/dataset.html#filter-pipeline>`_.
 This filter pipeline configuration can be retrieved with `h5py.Dataset`_ "low level" API.

src/hdf5plugin/_filters.py

@@ -802,6 +802,8 @@ def _from_filter_options(cls, filter_options: tuple[int, ...]) -> Sperr:
             meta=filter_options[0], ret=filter_options[1]
         )
 
+        if mode == 1:
+            return cls(rate=quality, swap=swap, missing_value_mode=missing_value_mode)
         if mode == 2:
             return cls(
                 peak_signal_to_noise_ratio=quality,
@@ -812,8 +814,7 @@ def _from_filter_options(cls, filter_options: tuple[int, ...]) -> Sperr:
             return cls(
                 absolute=quality, swap=swap, missing_value_mode=missing_value_mode
             )
-        if mode == 1:
-            return cls(rate=quality, swap=swap, missing_value_mode=missing_value_mode)
+
 
         raise ValueError(f"Mode must be in [1, 3], got {mode}")