add numpy-style array implementation

Author: rainyl

example/image_recognization/lib/main.dart

@@ -177,7 +177,7 @@ class _MyHomePageState extends State<MyHomePage> {
       pixData.addAll(pixB);
 
       final host = input.map(mnn.MapType.MNN_MAP_TENSOR_WRITE, input.dimensionType);
-      host.cast<mnn.f32>().asTypedList(pixData.length).setAll(0, pixData);
+      host.cast<mnn.float32>().asTypedList(pixData.length).setAll(0, pixData);
       input.unmap(mnn.MapType.MNN_MAP_TENSOR_WRITE, input.dimensionType, host);
 
       _net!.runSession(_session!);
@@ -194,7 +194,7 @@ class _MyHomePageState extends State<MyHomePage> {
       final type = outputUser.type;
 
       if (type.code == mnn.HalideTypeCode.halide_type_float) {
-        final values = outputUser.host.cast<mnn.f32>();
+        final values = outputUser.host.cast<mnn.float32>();
         for (var i = 0; i < size; i++) {
           tempValues.add((i, values[i]));
         }

example/image_recognization/test/widget_test.dart

@@ -73,7 +73,7 @@ void main(List<String> args) async {
     print("image: ${im1.values.sublist(0, 7)}");
 
     nchwTensor.setImage(i - 1, im1);
-    print(nchwTensor.cast<mnn.f32>().asTypedList(7));
+    print(nchwTensor.cast<mnn.float32>().asTypedList(7));
   }
   input.copyFromHost(nchwTensor);
   nchwTensor.dispose();
@@ -91,17 +91,17 @@ void main(List<String> args) async {
     final size = outputUser.getStride(0);
     final tempValues = <(int, double)>[];
     if (type.code == mnn.HalideTypeCode.halide_type_float) {
-      final values = outputUser.host.cast<mnn.f32>() + batch * size;
+      final values = outputUser.host.cast<mnn.float32>() + batch * size;
       for (var i = 0; i < size; i++) {
         tempValues.add((i, values[i]));
       }
     } else if (type.code == mnn.HalideTypeCode.halide_type_uint && type.bytes == 1) {
-      final values = outputUser.host.cast<mnn.u8>() + batch * size;
+      final values = outputUser.host.cast<mnn.uint8>() + batch * size;
       for (var i = 0; i < size; i++) {
         tempValues.add((i, values[i].toDouble()));
       }
     } else if (type.code == mnn.HalideTypeCode.halide_type_int && type.bytes == 1) {
-      final values = outputUser.host.cast<mnn.i8>() + batch * size;
+      final values = outputUser.host.cast<mnn.int8>() + batch * size;
       for (var i = 0; i < size; i++) {
         tempValues.add((i, values[i].toDouble()));
       }

example/main.dart

@@ -86,19 +86,19 @@ List<List<(int, double)>> inference(
     final size = outputUser.getStride(0);
     final tempValues = <(int, double)>[];
     if (type.code == mnn.HalideTypeCode.halide_type_float) {
-      final values = outputUser.cast<mnn.f32>() + batch * size;
+      final values = outputUser.cast<mnn.float32>() + batch * size;
       for (var i = 0; i < size; i++) {
         tempValues.add((i, values[i]));
       }
     } else if (type.code == mnn.HalideTypeCode.halide_type_uint &&
         type.bytes == 1) {
-      final values = outputUser.cast<mnn.u8>() + batch * size;
+      final values = outputUser.cast<mnn.uint8>() + batch * size;
       for (var i = 0; i < size; i++) {
         tempValues.add((i, values[i].toDouble()));
       }
     } else if (type.code == mnn.HalideTypeCode.halide_type_int &&
         type.bytes == 1) {
-      final values = outputUser.cast<mnn.i8>() + batch * size;
+      final values = outputUser.cast<mnn.int8>() + batch * size;
       for (var i = 0; i < size; i++) {
         tempValues.add((i, values[i].toDouble()));
       }

example/recognize/bin/inference.dart

@@ -85,7 +85,7 @@ enums:
     'stbir_datatype': 'StbirDataType'
 
 preamble: |
-  // dart format off
+  // coverage:ignore-file
   // Copyright (c) 2025, rainyl.  Please see the AUTHORS file
   // for details. All rights reserved. Use of this source code is governed by a
   // BSD-style license that can be found in the LICENSE file.

ffigen.yaml

@@ -1 +1,3 @@
-export 'src/expr/op.dart';
+export 'src/numpy/linalg.dart';
+export 'src/numpy/numpy.dart';
+export 'src/numpy/random.dart';

lib/numpy.dart

@@ -26,7 +26,7 @@ mixin ComparableMixin {
 /// Base class for wrapping C++ objects in Dart
 abstract class NativeObject with ComparableMixin implements ffi.Finalizable {
   /// Pointer to the underlying C++ object
-  final ffi.Pointer<ffi.Void> _ptr;
+  ffi.Pointer<ffi.Void> _ptr;
 
   ffi.NativeFinalizer get finalizer;
 
@@ -56,6 +56,14 @@ abstract class NativeObject with ComparableMixin implements ffi.Finalizable {
   @protected
   void release();
 
+  void reattach(ffi.Pointer<ffi.Void> ptr) {
+    dispose();
+    _ptr = ptr;
+    if (attach) {
+      finalizer.attach(this, _ptr, detach: this);
+    }
+  }
+
   @mustCallSuper
   void dispose() {
     if (attach) {
@@ -97,13 +105,13 @@ void MnnAssert(bool condition, String message) {
   }
 }
 
-typedef u8 = ffi.Uint8;
-typedef u16 = ffi.Uint16;
-typedef u32 = ffi.Uint32;
-typedef u64 = ffi.Uint64;
-typedef i8 = ffi.Int8;
-typedef i16 = ffi.Int16;
-typedef i32 = ffi.Int32;
-typedef i64 = ffi.Int64;
-typedef f32 = ffi.Float;
-typedef f64 = ffi.Double;
+typedef uint8 = ffi.Uint8;
+typedef uint16 = ffi.Uint16;
+typedef uint32 = ffi.Uint32;
+typedef uint64 = ffi.Uint64;
+typedef int8 = ffi.Int8;
+typedef int16 = ffi.Int16;
+typedef int32 = ffi.Int32;
+typedef int64 = ffi.Int64;
+typedef float32 = ffi.Float;
+typedef float64 = ffi.Double;