Apply some clippy fixes

crates/openvino/src/core.rs

@@ -45,8 +45,13 @@ impl Core {
     }
 
     /// Gets device plugins version information.
-    /// Device name can be complex and identify multiple devices at once like `HETERO:CPU,GPU`;
-    /// in this case, the returned map contains multiple entries, each per device.
+    ///
+    /// A device name can be complex and identify multiple devices at once, like `HETERO:CPU,GPU`.
+    /// In this case, the returned map contains multiple entries, each per device.
+    ///
+    /// # Panics
+    ///
+    /// This function panics if OpenVINO returns a device name these bindings do not yet recognize.
     pub fn versions(&self, device_name: &str) -> Result<Vec<(DeviceType, Version)>> {
         let device_name = cstr!(device_name);
         let mut ov_version_list = openvino_sys::ov_core_version_list_t {
@@ -75,6 +80,10 @@ impl Core {
     }
 
     /// Gets devices available for inference.
+    ///
+    /// # Panics
+    ///
+    /// This function panics if OpenVINO returns a device name these bindings do not yet recognize.
     pub fn available_devices(&self) -> Result<Vec<DeviceType>> {
         let mut ov_available_devices = openvino_sys::ov_available_devices_t {
             devices: std::ptr::null_mut(),
@@ -101,8 +110,13 @@ impl Core {
         Ok(devices)
     }
 
-    /// Gets properties related to device behaviour for this core.
+    /// Gets properties related to device behavior.
+    ///
     /// The method extracts information that can be set via the [`set_property`] method.
+    ///
+    /// # Panics
+    ///
+    /// This function panics in the unlikely case OpenVINO returns a non-UTF8 string.
     pub fn get_property(&self, device_name: &DeviceType, key: &PropertyKey) -> Result<String> {
         let ov_device_name = cstr!(device_name.as_ref());
         let ov_prop_key = cstr!(key.as_ref());
@@ -142,11 +156,11 @@ impl Core {
     /// Sets properties for a device.
     pub fn set_properties<'a>(
         &mut self,
-        device_name: DeviceType,
+        device_name: &DeviceType,
         properties: impl IntoIterator<Item = (RwPropertyKey, &'a str)>,
     ) -> Result<()> {
         for (prop_key, prop_value) in properties {
-            self.set_property(&device_name, &prop_key, prop_value)?;
+            self.set_property(device_name, &prop_key, prop_value)?;
         }
         Ok(())
     }
@@ -177,7 +191,7 @@ impl Core {
             self.ptr,
             model_str.as_ptr().cast::<c_char>(),
             model_str.len(),
-            weights_buffer.map_or(std::ptr::null(), |tensor| tensor.as_ptr()),
+            weights_buffer.map_or(std::ptr::null(), Tensor::as_ptr),
             std::ptr::addr_of_mut!(ptr)
         ))?;
         Ok(Model::from_ptr(ptr))

crates/openvino/src/element_type.rs

@@ -1,4 +1,12 @@
-use openvino_sys::*;
+use openvino_sys::{
+    ov_element_type_e_BF16, ov_element_type_e_DYNAMIC, ov_element_type_e_F16,
+    ov_element_type_e_F32, ov_element_type_e_F64, ov_element_type_e_F8E4M3,
+    ov_element_type_e_F8E5M3, ov_element_type_e_I16, ov_element_type_e_I32, ov_element_type_e_I4,
+    ov_element_type_e_I64, ov_element_type_e_I8, ov_element_type_e_NF4,
+    ov_element_type_e_OV_BOOLEAN, ov_element_type_e_U1, ov_element_type_e_U16,
+    ov_element_type_e_U32, ov_element_type_e_U4, ov_element_type_e_U64, ov_element_type_e_U8,
+    ov_element_type_e_UNDEFINED,
+};
 
 use std::convert::TryFrom;
 use std::error::Error;

crates/openvino/src/layout.rs

@@ -39,6 +39,6 @@ mod tests {
             .unwrap();
         let layout_desc = "NCHW";
         let layout = Layout::new(layout_desc).unwrap();
-        assert_eq!(layout.ptr.is_null(), false);
+        assert!(!layout.ptr.is_null());
     }
 }

crates/openvino/src/model.rs

@@ -207,7 +207,7 @@ impl CompiledModel {
     }
 
     /// Gets a property for the compiled model.
-    pub fn get_property(&self, key: PropertyKey) -> Result<Cow<str>> {
+    pub fn get_property(&self, key: &PropertyKey) -> Result<Cow<str>> {
         let ov_prop_key = cstr!(key.as_ref());
         let mut ov_prop_value = std::ptr::null_mut();
         try_unsafe!(ov_compiled_model_get_property(
@@ -220,7 +220,7 @@ impl CompiledModel {
     }
 
     /// Sets a property for the compiled model.
-    pub fn set_property(&mut self, key: RwPropertyKey, value: &str) -> Result<()> {
+    pub fn set_property(&mut self, key: &RwPropertyKey, value: &str) -> Result<()> {
         let ov_prop_key = cstr!(key.as_ref());
         let ov_prop_value = cstr!(value);
         try_unsafe!(ov_compiled_model_set_property(

crates/openvino/src/node.rs

@@ -32,6 +32,10 @@ impl Node {
     }
 
     /// Get the data type of elements of the port.
+    ///
+    /// # Panics
+    ///
+    /// This function panics in the unlikely case OpenVINO returns an unknown element type.
     pub fn get_element_type(&self) -> Result<ElementType> {
         let mut element_type = ElementType::Undefined as u32;
         try_unsafe!(ov_port_get_element_type(

crates/openvino/src/property.rs

@@ -1,7 +1,7 @@
 use std::borrow::Cow;
 
 /// See [`Property`](https://docs.openvino.ai/2024/api/c_cpp_api/group__ov__property__c__api.html).
-/// `PropertyKey` represents valid configuration properties for a [crate::Core] instance.
+/// `PropertyKey` represents valid configuration properties for a [`crate::Core`] instance.
 #[derive(Ord, PartialOrd, Eq, PartialEq, Hash, Debug)]
 pub enum PropertyKey {
     /// A string list of supported read-only properties.
@@ -10,8 +10,8 @@ pub enum PropertyKey {
     AvailableDevices,
     /// An unsigned integer value of optimal number of compiled model infer requests.
     OptimalNumberOfInferRequests,
-    /// A hint for a range for number of async infer requests.
-    /// If device supports streams, the metric provides range for number of IRs per stream.
+    /// A hint for a range for number of async infer requests. If a device supports streams, the
+    /// metric provides the range for number of IRs per stream.
     RangeForAsyncInferRequests,
     /// Information about a range for streams on platforms where streams are supported.
     RangeForStreams,
@@ -27,7 +27,7 @@ pub enum PropertyKey {
     MaxBatchSize,
     /// Read-write property key.
     Rw(RwPropertyKey),
-    /// Arbitrary string property key.
+    /// An arbitrary key.
     Other(Cow<'static, str>),
 }
 
@@ -36,9 +36,9 @@ pub enum PropertyKey {
 pub enum RwPropertyKey {
     /// The directory which will be used to store any data cached by plugins.
     CacheDir,
-    /// The cache mode between optimize_size and optimize_speed.
-    /// If optimize_size is selected, smaller cache files will be created.
-    /// If optimize_speed is selected, loading time will decrease but the cache file size will increase.
+    /// The cache mode between `optimize_size` and `optimize_speed`. If `optimize_size` is selected,
+    /// smaller cache files will be created. If `optimize_speed` is selected, loading time will
+    /// decrease but the cache file size will increase.
     CacheMode,
     /// The number of executor logical partitions.
     NumStreams,
@@ -56,36 +56,35 @@ pub enum RwPropertyKey {
     HintSchedulingCoreType,
     /// Hint for device to use specified precision for inference.
     HintInferencePrecision,
-    /// Backs the Performance Hints by giving
-    /// additional information on how many inference requests the application will be
-    /// keeping in flight usually this value comes from the actual use-case  (e.g.
-    /// number of video-cameras, or other sources of inputs)
+    /// Backs the performance hints by giving additional information on how many inference requests
+    /// the application will be keeping in flight usually this value comes from the actual use-case
+    /// (e.g. number of video-cameras, or other sources of inputs)
     HintNumRequests,
     /// Desirable log level.
     LogLevel,
     /// High-level OpenVINO model priority hint.
     HintModelPriority,
     /// Performance counters.
     EnableProfiling,
-    /// Device Priorities config option,
-    /// with comma-separated devices listed in the desired priority.
+    /// Device priorities configuration, with comma-separated devices listed in the desired
+    /// priority.
     DevicePriorities,
-    /// High-level OpenVINO Execution hint
-    /// unlike low-level properties that are individual (per-device), the hints are something that every device accepts
-    /// and turns into device-specific settings
-    /// Execution mode hint controls preferred optimization targets (performance or accuracy) for given model
+    /// A high-level OpenVINO execution hint. Unlike low-level properties that are individual
+    /// (per-device), the hints are something that every device accepts and turns into
+    /// device-specific settings, the execution mode hint controls preferred optimization targets
+    /// (performance or accuracy) for a given model.
     ///
     /// It can be set to be below value:
-    /// - `"PERFORMANCE"`: Optimize for max performance
-    /// - `"ACCURACY"`: Optimize for max accuracy
+    /// - `"PERFORMANCE"`: optimize for max performance
+    /// - `"ACCURACY"`: optimize for max accuracy
     HintExecutionMode,
     /// Whether to force terminate TBB when OV Core is destroyed.
     ForceTbbTerminate,
     /// Configure `mmap()` use for model read.
     EnableMmap,
     /// ?
     AutoBatchTimeout,
-    /// Arbitrary string property key.
+    /// An arbitrary key.
     Other(Cow<'static, str>),
 }
 

crates/openvino/src/tensor.rs

@@ -41,7 +41,7 @@ impl Tensor {
     }
 
     /// (Re)Set the shape of the tensor to a new shape.
-    pub fn set_shape(&self, shape: Shape) -> Result<Self> {
+    pub fn set_shape(&self, shape: &Shape) -> Result<Self> {
         try_unsafe!(ov_tensor_set_shape(self.ptr, shape.as_c_struct()))?;
         Ok(Self { ptr: self.ptr })
     }
@@ -57,6 +57,10 @@ impl Tensor {
     }
 
     /// Get the data type of elements of the tensor.
+    ///
+    /// # Panics
+    ///
+    /// This function panics in the unlikely case OpenVINO returns an unknown element type.
     pub fn get_element_type(&self) -> Result<ElementType> {
         let mut element_type = ElementType::Undefined as u32;
         try_unsafe!(ov_tensor_get_element_type(
@@ -135,12 +139,14 @@ impl Tensor {
 /// Convenience function for checking that we can cast `data` to a slice of `T`, returning the
 /// length of that slice.
 fn get_safe_len<T>(data: &[u8]) -> usize {
-    if data.len() % std::mem::size_of::<T>() != 0 {
-        panic!("data size is not a multiple of the size of `T`");
-    }
-    if data.as_ptr() as usize % std::mem::align_of::<T>() != 0 {
-        panic!("raw data is not aligned to `T`'s alignment");
-    }
+    assert!(
+        data.len() % std::mem::size_of::<T>() == 0,
+        "data size is not a multiple of the size of `T`"
+    );
+    assert!(
+        data.as_ptr() as usize % std::mem::align_of::<T>() == 0,
+        "raw data is not aligned to `T`'s alignment"
+    );
     data.len() / std::mem::size_of::<T>()
 }
 
@@ -151,66 +157,51 @@ mod tests {
     #[test]
     fn test_create_tensor() {
         openvino_sys::library::load().unwrap();
-        let shape = Shape::new(&vec![1, 3, 227, 227]).unwrap();
+        let shape = Shape::new(&[1, 3, 227, 227]).unwrap();
         let tensor = Tensor::new(ElementType::F32, &shape).unwrap();
         assert!(!tensor.ptr.is_null());
     }
 
     #[test]
     fn test_get_shape() {
         openvino_sys::library::load().unwrap();
-        let tensor = Tensor::new(
-            ElementType::F32,
-            &Shape::new(&vec![1, 3, 227, 227]).unwrap(),
-        )
-        .unwrap();
+        let tensor =
+            Tensor::new(ElementType::F32, &Shape::new(&[1, 3, 227, 227]).unwrap()).unwrap();
         let shape = tensor.get_shape().unwrap();
         assert_eq!(shape.get_rank(), 4);
     }
 
     #[test]
     fn test_get_element_type() {
         openvino_sys::library::load().unwrap();
-        let tensor = Tensor::new(
-            ElementType::F32,
-            &Shape::new(&vec![1, 3, 227, 227]).unwrap(),
-        )
-        .unwrap();
+        let tensor =
+            Tensor::new(ElementType::F32, &Shape::new(&[1, 3, 227, 227]).unwrap()).unwrap();
         let element_type = tensor.get_element_type().unwrap();
         assert_eq!(element_type, ElementType::F32);
     }
 
     #[test]
     fn test_get_size() {
         openvino_sys::library::load().unwrap();
-        let tensor = Tensor::new(
-            ElementType::F32,
-            &Shape::new(&vec![1, 3, 227, 227]).unwrap(),
-        )
-        .unwrap();
+        let tensor =
+            Tensor::new(ElementType::F32, &Shape::new(&[1, 3, 227, 227]).unwrap()).unwrap();
         let size = tensor.get_size().unwrap();
-        assert_eq!(size, 1 * 3 * 227 * 227);
+        assert_eq!(size, 3 * 227 * 227);
     }
 
     #[test]
     fn test_get_byte_size() {
         openvino_sys::library::load().unwrap();
-        let tensor = Tensor::new(
-            ElementType::F32,
-            &Shape::new(&vec![1, 3, 227, 227]).unwrap(),
-        )
-        .unwrap();
+        let tensor =
+            Tensor::new(ElementType::F32, &Shape::new(&[1, 3, 227, 227]).unwrap()).unwrap();
         let byte_size = tensor.get_byte_size().unwrap();
-        assert_eq!(
-            byte_size,
-            1 * 3 * 227 * 227 * std::mem::size_of::<f32>() as usize
-        );
+        assert_eq!(byte_size, 3 * 227 * 227 * std::mem::size_of::<f32>());
     }
 
     #[test]
     fn casting() {
         openvino_sys::library::load().unwrap();
-        let shape = Shape::new(&vec![10, 10, 10]).unwrap();
+        let shape = Shape::new(&[10, 10, 10]).unwrap();
         let tensor = Tensor::new(ElementType::F32, &shape).unwrap();
         let data = tensor.get_data::<f32>().unwrap();
         assert_eq!(data.len(), 10 * 10 * 10);
@@ -220,7 +211,7 @@ mod tests {
     #[should_panic(expected = "data size is not a multiple of the size of `T`")]
     fn casting_check() {
         openvino_sys::library::load().unwrap();
-        let shape = Shape::new(&vec![10, 10, 10]).unwrap();
+        let shape = Shape::new(&[10, 10, 10]).unwrap();
         let tensor = Tensor::new(ElementType::F32, &shape).unwrap();
         #[allow(dead_code)]
         struct LargeOddType([u8; 1061]);

crates/openvino/tests/classify-alexnet.rs

@@ -25,7 +25,7 @@ fn classify_alexnet() -> anyhow::Result<()> {
 
     // Retrieve the tensor from the test fixtures.
     let data = fs::read(Fixture::tensor())?;
-    let input_shape = Shape::new(&vec![1, 227, 227, 3])?;
+    let input_shape = Shape::new(&[1, 227, 227, 3])?;
     let element_type = ElementType::F32;
     let mut tensor = Tensor::new(element_type, &input_shape)?;
     let buffer = tensor.get_raw_data_mut()?;
@@ -53,7 +53,7 @@ fn classify_alexnet() -> anyhow::Result<()> {
     let mut infer_request = executable_model.create_infer_request()?;
     infer_request.set_tensor("data", &tensor)?;
     infer_request.infer()?;
-    let mut results = infer_request.get_tensor(&output_port.get_name()?)?;
+    let results = infer_request.get_tensor(&output_port.get_name()?)?;
 
     // Sort results.
     let buffer = results.get_data::<f32>()?.to_vec();

crates/openvino/tests/classify-inception.rs

@@ -25,7 +25,7 @@ fn classify_inception() -> anyhow::Result<()> {
 
     // Retrieve the tensor from the test fixtures.
     let data = fs::read(Fixture::tensor())?;
-    let input_shape = Shape::new(&vec![1, 299, 299, 3])?;
+    let input_shape = Shape::new(&[1, 299, 299, 3])?;
     let element_type = ElementType::F32;
     let mut tensor = Tensor::new(element_type, &input_shape)?;
     let buffer = tensor.get_raw_data_mut()?;
@@ -50,7 +50,7 @@ fn classify_inception() -> anyhow::Result<()> {
     let mut infer_request = executable_model.create_infer_request()?;
     infer_request.set_tensor("input", &tensor)?;
     infer_request.infer()?;
-    let mut results = infer_request.get_tensor(&output_port.get_name()?)?;
+    let results = infer_request.get_tensor(&output_port.get_name()?)?;
 
     // Sort results.
     let buffer = results.get_data::<f32>()?.to_vec();

crates/openvino/tests/classify-mobilenet.rs

@@ -25,7 +25,7 @@ fn classify_mobilenet() -> anyhow::Result<()> {
 
     // Retrieve the tensor from the test fixtures.
     let data = fs::read(Fixture::tensor())?;
-    let input_shape = Shape::new(&vec![1, 224, 224, 3])?;
+    let input_shape = Shape::new(&[1, 224, 224, 3])?;
     let element_type = ElementType::F32;
     let mut tensor = Tensor::new(element_type, &input_shape)?;
     let buffer = tensor.get_raw_data_mut()?;
@@ -53,7 +53,7 @@ fn classify_mobilenet() -> anyhow::Result<()> {
     let mut infer_request = executable_model.create_infer_request()?;
     infer_request.set_tensor("input", &tensor)?;
     infer_request.infer()?;
-    let mut results = infer_request.get_tensor(&output_port.get_name()?)?;
+    let results = infer_request.get_tensor(&output_port.get_name()?)?;
 
     // Sort results. It is unclear why the MobileNet output indices are "off by one" but the
     // `.skip(1)` below seems necessary to get results that make sense (e.g. 763 = "revolver" vs 762

crates/xtask/src/codegen.rs

@@ -46,7 +46,7 @@ impl CodegenCommand {
         let functions_to_modify = vec!["ov_core_set_property", "ov_compiled_model_set_property"];
         let mut function_bindings_string = function_bindings.to_string();
         for function in &functions_to_modify {
-            let re = Regex::new(&format!(r"(?s){}.*?\.\.\.", function)).unwrap();
+            let re = Regex::new(&format!(r"(?s){function}.*?\.\.\.")).unwrap();
             if re.is_match(&function_bindings_string) {
                 function_bindings_string = re.replace(&function_bindings_string, |caps: &regex::Captures| {
                     caps[0].replace("...", "property_key: *const ::std::os::raw::c_char,\n        property_value: *const ::std::os::raw::c_char")