[meta] Apply clippy suggestions

nac3core/src/codegen/generator.rs

@@ -59,7 +59,7 @@ pub trait CodeGenerator {
     ///   function is a class method.
     ///
     /// Note that this function should check if the function is generated in another thread (due to
-    ///   possible race condition), see the default implementation for an example.
+    /// possible race condition), see the default implementation for an example.
     fn gen_func_instance<'ctx>(
         &mut self,
         ctx: &mut CodeGenContext<'ctx, '_>,

nac3core/src/codegen/irrt/mod.rs

@@ -568,7 +568,8 @@ pub fn call_j0<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> Flo
 ///
 /// * `dims` - An [`ArrayLikeIndexer`] containing the size of each dimension.
 /// * `range` - The dimension index to begin and end (exclusively) calculating the dimensions for,
-///   or [`None`] if starting from the first dimension and ending at the last dimension respectively.
+///   or [`None`] if starting from the first dimension and ending at the last dimension
+///   respectively.
 pub fn call_ndarray_calc_size<'ctx, G, Dims>(
     generator: &G,
     ctx: &CodeGenContext<'ctx, '_>,

nac3core/src/codegen/llvm_intrinsics.rs

@@ -206,7 +206,8 @@ pub fn call_memcpy_generic<'ctx>(
 /// * `$name:ident`: Optional name to be assigned to the llvm build call (Option<&str>)
 /// * `$llvm_name:literal`: Name of underlying llvm intrinsic function
 /// * `$map_fn:ident`: Mapping function to be applied on `BasicValue` (`BasicValue` -> Function Return Type).
-///   Use `BasicValueEnum::into_int_value` for Integer return type and `BasicValueEnum::into_float_value` for Float return type
+///   Use `BasicValueEnum::into_int_value` for Integer return type and
+///   `BasicValueEnum::into_float_value` for Float return type
 /// * `$llvm_ty:ident`: Type of first operand
 /// * `,($val:ident)*`: Comma separated list of operands
 macro_rules! generate_llvm_intrinsic_fn_body {

nac3core/src/codegen/numpy.rs

@@ -2144,7 +2144,8 @@ pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
 ///   1. A list of `int32`;   e.g., `np.reshape(arr, [600, -1, 3])`
 ///   2. A tuple of `int32`;  e.g., `np.reshape(arr, (-1, 800, 3))`
 ///   3. A scalar `int32`;     e.g., `np.reshape(arr, 3)`
-///      Note that unlike other generating functions, one of the dimesions in the shape can be negative
+///
+/// Note that unlike other generating functions, one of the dimensions in the shape can be negative.
 pub fn ndarray_reshape<'ctx, G: CodeGenerator + ?Sized>(
     generator: &mut G,
     ctx: &mut CodeGenContext<'ctx, '_>,