update pyo3 to v0.25.0 and numpy to v0.25.0

Author: benniekiss

pyDF-data/Cargo.toml

@@ -16,11 +16,10 @@ hdf5-static = ["deep_filter/hdf5-static"]
 
 [dependencies]
 deep_filter = { features = ["dataset", "logging", "vorbis", "flac"], path = "../libDF" }
-pyo3 = { version = "0.22", default-features = true, features = [
+pyo3 = { version = "0.25", default-features = true, features = [
   "extension-module",
-  "gil-refs",
 ] }
-numpy = "0.22"
+numpy = "0.25"
 log = { version = "0.4", features = ["std"] }
 crossbeam-channel = "^0.5"
 ndarray = "^0.15"

pyDF/Cargo.toml

@@ -12,9 +12,8 @@ path = "src/lib.rs"
 
 [dependencies]
 deep_filter = { features = ["transforms", "logging"], path = "../libDF" }
-pyo3 = { version = "0.22", features = [
+pyo3 = { version = "0.25", features = [
     "extension-module",
-    "gil-refs"
 ] }
-numpy = "0.22"
+numpy = "0.25"
 ndarray = "^0.15"

pyDF/src/lib.rs

@@ -68,7 +68,7 @@ impl DF {
                 self.state.analysis(ichunk, ochunk)
             }
         }
-        Ok(output.into_pyarray_bound(py))
+        Ok(output.into_pyarray(py))
     }
 
     fn synthesis<'py>(
@@ -103,15 +103,15 @@ impl DF {
                 self.state.synthesis(ichunk, ochunk);
             }
         }
-        Ok(output.into_pyarray_bound(py))
+        Ok(output.into_pyarray(py))
     }
 
     fn erb_widths<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyArray1<usize>>> {
-        Ok(self.state.erb.clone().into_pyarray_bound(py))
+        Ok(self.state.erb.clone().into_pyarray(py))
     }
 
     fn fft_window<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyArray1<f32>>> {
-        Ok(self.state.window.clone().into_pyarray_bound(py))
+        Ok(self.state.window.clone().into_pyarray(py))
     }
 
     fn sr(&self) -> usize {
@@ -188,7 +188,7 @@ fn libdf(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
                 .to_py_err()?,
             _ => output.into_dimensionality().to_py_err()?,
         };
-        Ok(output.into_pyarray_bound(py))
+        Ok(output.into_pyarray(py))
     }
 
     #[pyfn(m)]
@@ -246,7 +246,7 @@ fn libdf(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
                 .to_py_err()?,
             _ => output.into_dimensionality().to_py_err()?,
         };
-        Ok(output.into_pyarray_bound(py))
+        Ok(output.into_pyarray(py))
     }
 
     #[pyfn(m)]
@@ -270,7 +270,7 @@ fn libdf(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
         } else {
             transforms::erb_norm(&mut erb.view_mut(), None, alpha).to_py_err()?;
         };
-        Ok(erb.into_owned().into_pyarray_bound(py))
+        Ok(erb.into_owned().into_pyarray(py))
     }
 
     #[pyfn(m)]
@@ -294,7 +294,7 @@ fn libdf(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
         } else {
             transforms::unit_norm(&mut spec.view_mut(), None, alpha).to_py_err()?;
         };
-        Ok(spec.into_pyarray_bound(py))
+        Ok(spec.into_pyarray(py))
     }
 
     #[pyfn(m)]
@@ -303,7 +303,7 @@ fn libdf(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
         let arr = Array1::<f32>::linspace(UNIT_NORM_INIT[0], UNIT_NORM_INIT[1], num_freq_bins)
             .into_shape([1, num_freq_bins])
             .to_py_err()?;
-        Ok(arr.into_pyarray_bound(py))
+        Ok(arr.into_pyarray(py))
     }
 
     Ok(())