UPgrade pyo3 0.20

Author: relf

Cargo.toml

@@ -40,7 +40,7 @@ linfa = { version = "0.7", default-features = false }
 
 ndarray = { version = "0.15", features = ["rayon", "approx"] }
 ndarray-rand = "0.14"
-numpy = "0.18"
+numpy = "0.20.0"
 anyhow = "1"
 rayon = "1"
 
@@ -49,8 +49,8 @@ libm = "0.2"
 finitediff = { version = "0.1.4", features = ["ndarray"] }
 env_logger = "0.10.0"
 log = "0.4"
-pyo3 = { version = "0.18.0", features = ["extension-module"] }
-pyo3-log = "0.8"
+pyo3 = { version = "0.20.0", features = ["extension-module"] }
+pyo3-log = "0.9.0"
 serde = "1"
 serde_json = "1"
 

src/egor.rs

@@ -132,9 +132,6 @@ pub(crate) fn to_specs(py: Python, xlimits: Vec<Vec<f64>>) -> PyResult<PyObject>
 ///         Random generator seed to allow computation reproducibility.
 ///      
 #[pyclass]
-#[pyo3(
-    text_signature = "(fun, n_cstr=0, n_start=20, n_doe=0, regression_spec=7, correlation_spec=15, infill_strategy=1, q_points=1, par_infill_strategy=1, infill_optimizer=1, n_clusters=1)"
-)]
 pub(crate) struct Egor {
     pub fun: PyObject,
     pub xspecs: PyObject,

src/gpmix.rs

@@ -52,7 +52,6 @@ use rand_xoshiro::Xoshiro256Plus;
 ///         Random generator seed to allow computation reproducibility.
 ///         
 #[pyclass]
-#[pyo3(text_signature = "()")]
 pub(crate) struct GpMix {
     pub n_clusters: usize,
     pub regression_spec: RegressionSpec,
@@ -139,7 +138,6 @@ impl GpMix {
 
 /// A trained Gaussian processes mixture
 #[pyclass]
-#[pyo3(text_signature = "()")]
 pub(crate) struct Gpx(Box<Moe>);
 
 #[pymethods]

src/types.rs

@@ -78,7 +78,6 @@ pub(crate) enum InfillOptimizer {
 
 #[pyclass]
 #[derive(Clone, Copy)]
-#[pyo3(text_signature = "(val, tol=1e-6)")]
 pub(crate) struct ExpectedOptimum {
     #[pyo3(get)]
     pub(crate) val: f64,