fix(runtime): release ONNX hotword batching fix as 0.4.7

.github/workflows/test-funasr-onnx-package.yml

@@ -84,7 +84,7 @@ jobs:
           import importlib.util
           from importlib.metadata import requires, version
 
-          assert version("funasr-onnx") == "0.4.6"
+          assert version("funasr-onnx") == "0.4.7"
           assert importlib.util.find_spec("torch") is None
 
           requirements = requires("funasr-onnx") or []
@@ -125,7 +125,7 @@ jobs:
         if: matrix.python-version == '3.12'
         uses: actions/upload-artifact@v7
         with:
-          name: funasr-onnx-0.4.6
+          name: funasr-onnx-0.4.7
           path: dist/funasr-onnx/*
           if-no-files-found: error
 

runtime/python/onnxruntime/README.md

@@ -7,6 +7,10 @@ does not update the installed ONNX wrappers. Check their versions separately
 with `python -m pip show funasr-onnx funasr`; use the source installation below
 when a required wrapper fix is newer than the published PyPI package.
 
+Version 0.4.7 includes the Contextual/Seaco Paraformer hotword batching fix
+(#3838), including empty hotword-file handling. This is a runtime wrapper
+fix, not a model-weight update or an ASR accuracy claim.
+
 Version 0.4.6 fixes offline FSMN-VAD calls with multiple inputs so each
 waveform is scored independently and returns one independent result per input.
 Requested batch sizes remain accepted, while the effective model batch remains 1
@@ -24,9 +28,9 @@ and postprocessing fixes, not a model-weight update or an ASR accuracy claim.
 install from pip
 
 ```shell
-pip install -U "funasr-onnx>=0.4.6"
+pip install -U "funasr-onnx>=0.4.7"
 # For the users in China, you could install with the command:
-# pip install -U "funasr-onnx>=0.4.6" -i https://mirror.sjtu.edu.cn/pypi/web/simple
+# pip install -U "funasr-onnx>=0.4.7" -i https://mirror.sjtu.edu.cn/pypi/web/simple
 # If you want to export .onnx file, you should install modelscope and funasr
 pip install -U modelscope funasr
 # For the users in China, you could install with the command:

runtime/python/onnxruntime/setup.py

@@ -13,7 +13,7 @@ def get_readme():
 
 
 MODULE_NAME = "funasr_onnx"
-VERSION_NUM = "0.4.6"
+VERSION_NUM = "0.4.7"
 
 setuptools.setup(
     name=MODULE_NAME,

tests/test_funasr_onnx_installed.py

@@ -38,7 +38,7 @@
 class InstalledOnnxPackageTest(unittest.TestCase):
     def test_installed_distribution_version_and_origin(self):
         distribution = importlib.metadata.distribution('funasr-onnx')
-        self.assertEqual(distribution.version, '0.4.6')
+        self.assertEqual(distribution.version, '0.4.7')
         self.assertEqual(
             Path(funasr_onnx.__file__).resolve().parent,
             Path(distribution.locate_file('funasr_onnx')).resolve(),

tests/test_funasr_onnx_release.py

@@ -7,7 +7,7 @@
 ROOT = Path(__file__).resolve().parents[1]
 PACKAGE_ROOT = ROOT / "runtime" / "python" / "onnxruntime"
 SETUP_PATH = PACKAGE_ROOT / "setup.py"
-EXPECTED_VERSION = "0.4.6"
+EXPECTED_VERSION = "0.4.7"
 REQUIREMENT_NAME_PATTERN = re.compile(r"^\s*([A-Za-z0-9](?:[A-Za-z0-9._-]*[A-Za-z0-9])?)")
 
 
@@ -44,7 +44,7 @@ def normalized_requirement_name(requirement):
 
 
 class FunASROnnxReleaseContractTest(unittest.TestCase):
-    def test_release_version_is_0_4_6(self):
+    def test_release_version_is_0_4_7(self):
         self.assertEqual(assigned_literal(read_setup_tree(), "VERSION_NUM"), EXPECTED_VERSION)
 
     def test_standalone_license_preserves_repository_notice(self):
@@ -67,6 +67,8 @@ def test_readme_names_the_standalone_fix_release(self):
         self.assertIn("one independent result per input", readme)
         self.assertIn("effective model batch remains 1", readme)
         self.assertIn("#3831", readme)
+        self.assertIn("#3838", readme)
+        self.assertIn("hotword", readme)
 
     def test_runtime_dependencies_keep_onnx_install_torch_free(self):
         requirements = setup_keyword_literal(read_setup_tree(), "install_requires")