Method encode

source/python.js:5615–5673

(context, data, dim)

        this.registerFunction('numpy.std');
        this.registerFunction('numpy.asarray', (a, dtype) => {
            const encode = (context, data, dim) => {
                const size = context.shape[dim];
                const littleendian = context.littleendian;
                if (dim === context.shape.length - 1) {
                    for (let i = 0; i < size; i++) {
                        switch (context.dtype) {
                            case 'f2':
                                context.view.setFloat16(context.position, data[i], littleendian);
                                break;
                            case 'f4':
                                context.view.setFloat32(context.position, data[i], littleendian);
                                break;
                            case 'f8':
                                context.view.setFloat64(context.position, data[i], littleendian);
                                break;
                            case 'i1':
                                context.view.setInt8(context.position, data[i], littleendian);
                                break;
                            case 'i2':
                                context.view.setInt16(context.position, data[i], littleendian);
                                break;
                            case 'i4':
                                context.view.setInt32(context.position, data[i], littleendian);
                                break;
                            case 'i8':
                                context.view.setBigInt64(context.position, typeof data[i] === 'number' ? BigInt(data[i]) : data[i], littleendian);
                                break;
                            case 'u1':
                                context.view.setUint8(context.position, data[i], littleendian);
                                break;
                            case 'u2':
                                context.view.setUint16(context.position, data[i], littleendian);
                                break;
                            case 'u4':
                                context.view.setUint32(context.position, data[i], littleendian);
                                break;
                            case 'u8':
                                context.view.setComplexFloat16(context.position, data[i], littleendian);
                                break;
                            case 'c8':
                                context.view.setComplexFloat32(context.position, data[i], littleendian);
                                break;
                            case 'c16':
                                context.view.setComplexFloat64(context.position, data[i], littleendian);
                                break;
                            case 'b1':
                                context.view.setInt8(context.position, data[i] ? 1 : 0);
                                break;
                            default:
                                throw new python.Error(`Unsupported tensor data type '${context.dtype}'.`);
                        }
                        context.position += context.itemsize;
                    }
                } else {
                    for (let j = 0; j < size; j++) {
                        encode(context, data[j], dim + 1);
                    }
                }