C++ FunctionCallbackInfo::Length方法代码示例

/**
  *  Rank:
  *  Return matrix rank of array using SVD method
  *  Rank of the array is the number of SVD singular values of the array that are greater than threshold(info[3]).
  *
  *  arguments:
  *  info[0]: Buffer(object created by smalloc) represent the numjs.Matrix object to be inverted.
  *           Must be square, i.e. M.rows == M.cols.
  *  info[1]: Number represent the number of rows of the matrix.
  *  info[2]: Number represent the number of columns of the matrix.
  *  info[3]: Optional - Number represent the threshold which SVD values are considered zero.
  *                     If this arg is not given, and S is an array with singular values for M,
  *                     and eps is the epsilon value for datatype of S, then tol is set to S.max() * max(M.shape) * eps
  *
  *  Return value: a Number represent the matrix rank of the given matrix .
*/
void Rank(const Nan::FunctionCallbackInfo<v8::Value>& info){
    using CMd = Eigen::Map <const Eigen::MatrixXd >;
    using Md = Eigen::Map <Eigen::MatrixXd >;

    if (info.Length() < 3) {
        Nan::ThrowTypeError("Wrong number of arguments");
        return;
    }

    if (!info[1]->IsNumber() || !info[2]->IsNumber()) {
        Nan::ThrowTypeError("Wrong arguments");
        return;
    }

    Local<Object> matrixBuffer = info[0].As<Object>();
    if (matrixBuffer->HasIndexedPropertiesInExternalArrayData()) {
        double *refMatrixData = static_cast<double*>(matrixBuffer->GetIndexedPropertiesExternalArrayData());
        size_t rowsMatrix(info[1]->Uint32Value());
        size_t colsMatrix(info[2]->Uint32Value());

        Md inputMat(refMatrixData, rowsMatrix, colsMatrix);
        Eigen::JacobiSVD<Eigen::MatrixXd> svd(inputMat);
        if (info.Length() == 4 && info[3]->IsNumber()){
            svd.setThreshold((float)info[3]->NumberValue());
        }

        v8::Local<v8::Number> num = Nan::New((int)svd.rank());
        info.GetReturnValue().Set(num);
    }
    else{
        Nan::ThrowTypeError("Wrong arguments");
        Local<Boolean> b = Nan::New(false);
        info.GetReturnValue().Set(b);
    }
}

/**
  *  Rank:
  *  Return matrix rank of array using SVD method
  *  Rank of the array is the number of SVD singular values of the array that are greater than threshold(info[3]).
  *
  *  arguments:
  *  info[0]: Buffer(object created by Float64Array) represent the numjs.Matrix object to be inverted.
  *           Must be square, i.e. M.rows == M.cols.
  *  info[1]: Number represent the number of rows of the matrix.
  *  info[2]: Number represent the number of columns of the matrix.
  *  info[3]: Optional - Number represent the threshold which SVD values are considered zero.
  *                     If this arg is not given, and S is an array with singular values for M,
  *                     and eps is the epsilon value for datatype of S, then tol is set to S.max() * max(M.shape) * eps
  *
  *  Return value: a Number represent the matrix rank of the given matrix .
*/
void Rank(const Nan::FunctionCallbackInfo<v8::Value>& info){
    using CMd = Eigen::Map <const Eigen::MatrixXd >;
    using Md = Eigen::Map <Eigen::MatrixXd >;

    if (info.Length() < 3) {
        Nan::ThrowTypeError("Wrong number of arguments");
        return;
    }

    if (!info[1]->IsNumber() || !info[2]->IsNumber()) {
        Nan::ThrowTypeError("Wrong arguments");
        return;
    }

	if (info[0]->IsFloat64Array()) {
		double *refMatrixData = *(Nan::TypedArrayContents<double>(info[0]));
        size_t rowsMatrix(info[1]->Uint32Value());
        size_t colsMatrix(info[2]->Uint32Value());

        Md inputMat(refMatrixData, rowsMatrix, colsMatrix);
        Eigen::JacobiSVD<Eigen::MatrixXd> svd(inputMat);
        if (info.Length() == 4 && info[3]->IsNumber()){
            svd.setThreshold((float)info[3]->NumberValue());
        }

        v8::Local<v8::Number> num = Nan::New((int)svd.rank());
        info.GetReturnValue().Set(num);
    }
    else{
        Nan::ThrowTypeError("Wrong arguments");
        Local<Boolean> b = Nan::New(false);
        info.GetReturnValue().Set(b);
    }
}

void Find(const Nan::FunctionCallbackInfo<v8::Value>& args) {
	Nan::HandleScope scope;

	int vid = 0;
	int pid = 0;
	v8::Local<v8::Function> callback;

	if (args.Length() == 0) {
		return Nan::ThrowTypeError("First argument must be a function");
	}

	if (args.Length() == 3) {
		if (args[0]->IsNumber() && args[1]->IsNumber()) {
			vid = (int) args[0]->NumberValue();
			pid = (int) args[1]->NumberValue();
		}

		// callback
		if(!args[2]->IsFunction()) {
			return Nan::ThrowTypeError("Third argument must be a function");
		}

		callback = args[2].As<v8::Function>();
	}

	if (args.Length() == 2) {
		if (args[0]->IsNumber()) {
			vid = (int) args[0]->NumberValue();
		}

		// callback
		if(!args[1]->IsFunction()) {
			return Nan::ThrowTypeError("Second argument must be a function");
		}

		callback = args[1].As<v8::Function>();
	}

	if (args.Length() == 1) {
		// callback
		if(!args[0]->IsFunction()) {
			return Nan::ThrowTypeError("First argument must be a function");
		}

		callback = args[0].As<v8::Function>();
	}

	ListBaton* baton = new ListBaton();
	strcpy(baton->errorString, "");
	baton->callback = new Nan::Callback(callback);
	baton->vid = vid;
	baton->pid = pid;

	uv_work_t* req = new uv_work_t();
	req->data = baton;
	uv_queue_work(uv_default_loop(), req, EIO_Find, (uv_after_work_cb)EIO_AfterFind);
}

/**
  *  Det:
  *  Compute the determinant of an array.
  *
  *  arguments:
  *  info[0]: Buffer(object created by Float64Array) represent the numjs.Matrix object to be inverted.
  *           Must be square, i.e. M.rows == M.cols.
  *  info[1]: Number represent the number of rows of the matrix.
  *  info[2]: Number represent the number of columns of the matrix.
  *
  *  Return value: a Number represent the determinant of the given matrix.
*/
void Det(const Nan::FunctionCallbackInfo<v8::Value>& info){
    using CMd = Eigen::Map <const Eigen::MatrixXd >;
    using Md = Eigen::Map <Eigen::MatrixXd >;

    if (info.Length() < 3) {
        Nan::ThrowTypeError("Wrong number of arguments");
        return;
    }

    if (!info[1]->IsNumber() || !info[2]->IsNumber()) {
        Nan::ThrowTypeError("Wrong arguments");
        return;
    }

	if (info[0]->IsFloat64Array()) {
		double *refMatrixData = *(Nan::TypedArrayContents<double>(info[0]));
        size_t rowsMatrix(info[1]->Uint32Value());
        size_t colsMatrix(info[2]->Uint32Value());

        Md inputMat(refMatrixData, rowsMatrix, colsMatrix);
        v8::Local<v8::Number> num = Nan::New(inputMat.determinant());
        info.GetReturnValue().Set(num);
    }
    else{
        Nan::ThrowTypeError("Wrong arguments");
        Local<Boolean> b = Nan::New(false);
        info.GetReturnValue().Set(b);
    }
}

void SecureCellSeal::New(const Nan::FunctionCallbackInfo<v8::Value>& args)
{
    if (args.IsConstructCall()) {
        if (args.Length() < 1) {
            ThrowParameterError("Secure Cell (Seal) constructor",
                                "not enough arguments, expected master key");
            args.GetReturnValue().SetUndefined();
            return;
        }
        if (!args[0]->IsUint8Array()) {
            ThrowParameterError("Secure Cell (Seal) constructor",
                                "master key is not a byte buffer, use ByteBuffer or Uint8Array");
            args.GetReturnValue().SetUndefined();
            return;
        }
        if (node::Buffer::Length(args[0]) == 0) {
            ThrowParameterError("Secure Cell (Seal) constructor", "master key is empty");
            args.GetReturnValue().SetUndefined();
            return;
        }
        std::vector<uint8_t> key((uint8_t*)(node::Buffer::Data(args[0])),
                                 (uint8_t*)(node::Buffer::Data(args[0]) + node::Buffer::Length(args[0])));
        SecureCellSeal* obj = new SecureCellSeal(key);
        obj->Wrap(args.This());
        args.GetReturnValue().Set(args.This());
    } else {
        const int argc = 1;
        v8::Local<v8::Value> argv[argc] = {args[0]};
        v8::Local<v8::Function> cons = Nan::New<v8::Function>(constructor);
        args.GetReturnValue().Set(Nan::NewInstance(cons, argc, argv).ToLocalChecked());
    }
}

/**
  *  Eye:
  *  Creates a new nXm matrix with ones on the diagonal
  *  and zeros elsewhere.
  *
  *  arguments:
  *  info[0]: Number n which represents the number of rows in the newly built matrix
  *  info[1]: Number m which represents the number of cols in the newly built matrix
  *  info[2]: Buffer(object created by Float64Array) for return value(eye matrix nXm).
*/
void Eye(const Nan::FunctionCallbackInfo<v8::Value>& info){
    using CMd = Eigen::Map <const Eigen::MatrixXd >;
    using Md = Eigen::Map <Eigen::MatrixXd >;

    if (info.Length() < 3) {
        Nan::ThrowTypeError("Wrong number of arguments");
        return;
    }

    if (!info[0]->IsNumber() || !info[1]->IsNumber()) {
        Nan::ThrowTypeError("Wrong argument given, should be a number");
        return;
    }

    if (info[2]->IsFloat64Array()) {
        size_t rowsMatrix(info[0]->Uint32Value());
        size_t colsMatrix(info[1]->Uint32Value());

        double *refResData = *(Nan::TypedArrayContents<double>(info[2]));
        Md res(refResData, rowsMatrix, colsMatrix);
        res = Md::Identity(rowsMatrix, colsMatrix);

        Local<Boolean> b = Nan::New(true);
        info.GetReturnValue().Set(b);
    }

    else{
        Nan::ThrowTypeError("Wrong arguments2");
        Local<Boolean> b = Nan::New(false);
        info.GetReturnValue().Set(b);
    }
}

void ParseAsync(const Nan::FunctionCallbackInfo<Value> &args) {
  Isolate *isolate = args.GetIsolate();
  int args_length = args.Length();

  if (args_length < 2) {
    isolate->ThrowException(Exception::TypeError(String::NewFromUtf8(isolate, "Wrong number of arguments")));
    return;
  }

  Local<Value> input = args[0];
  if (!ValidateInput(input, isolate)) {
    return;
  }
  if (!args[1]->IsFunction()) {
    isolate->ThrowException(Exception::TypeError(String::NewFromUtf8(isolate, "Second parameter must be a callback")));
    return;
  }

  Nan::Callback *callback = new Nan::Callback(args[1].As<Function>());
  anitomyJs::Worker *worker = new anitomyJs::Worker(callback);

  if (args_length >= 3) {
    Local<Value> options = args[2];
    if (!ValidateOptions(options, isolate) ||
        !worker->GetAnitomy()->SetOptions(options->ToObject(isolate->GetCurrentContext()).ToLocalChecked(), isolate)) {
      return;
    }
  }

  worker->GetAnitomy()->SetInput(input, isolate);
  Nan::AsyncQueueWorker(worker);
  args.GetReturnValue().Set(Nan::Undefined());
}

void ParseSync(const Nan::FunctionCallbackInfo<Value> &args) {
  Isolate *isolate = args.GetIsolate();
  int args_length = args.Length();

  if (args_length < 1) {
    isolate->ThrowException(Exception::TypeError(String::NewFromUtf8(isolate, "Wrong number of arguments")));
    return;
  }

  Local<Value> input = args[0];
  if (!ValidateInput(input, isolate)) {
    return;
  }

  anitomyJs::AnitomyJs anitomy;
  if (args_length >= 2) {
    Local<Value> options = args[1];
    if (!ValidateOptions(options, isolate) ||
        !anitomy.SetOptions(options->ToObject(isolate->GetCurrentContext()).ToLocalChecked(), isolate)) {
      return;
    }
  }

  anitomy.SetInput(input, isolate);
  anitomy.Parse();

  args.GetReturnValue().Set(anitomy.ParsedResult(isolate));
}

/**
  *  MatrixPower:
  *  Raise a square matrix to the (integer) power n.
  *
  *  arguments:
  *  info[0]: Buffer(object created by smalloc) represent the numjs.Matrix object to be "powered".
  *           Must be square, i.e. M.rows == M.cols.
  *  info[1]: Number represent the number of rows of the matrix.
  *  info[2]: Number represent the number of columns of the matrix.
  *  info[3]: Number m represent the exponent. Can be any integer or long integer, positive, negative, or zero.
  *  info[4]: Buffer(object created by smalloc) for return value(M**m).
              If the exponent is positive or zero then the type of the elements is the same as those of M.
              If the exponent is negative the elements are floating-point.
*/
void MatrixPower(const Nan::FunctionCallbackInfo<v8::Value>& info){
    using CMd = Eigen::Map <const Eigen::MatrixXd >;
    using Md = Eigen::Map <Eigen::MatrixXd >;

    if (info.Length() < 5) {
        Nan::ThrowTypeError("Wrong number of arguments");
        return;
    }

    if (!info[1]->IsNumber() || !info[2]->IsNumber() || !info[3]->IsNumber()) {
        Nan::ThrowTypeError("Wrong arguments");
        return;
    }

    Local<Object> matrixBuffer = info[0].As<Object>();
    if (matrixBuffer->HasIndexedPropertiesInExternalArrayData()) {
        double *refMatrixData = static_cast<double*>(matrixBuffer->GetIndexedPropertiesExternalArrayData());
        size_t rowsMatrix(info[1]->Uint32Value());
        size_t colsMatrix(info[2]->Uint32Value());
        double expParam(info[3]->NumberValue());
        Md inputMat(refMatrixData, rowsMatrix, colsMatrix);

        Local<Object> resBuffer = info[4].As<Object>();
        if (resBuffer->HasIndexedPropertiesInExternalArrayData()) {
            double *refResData = static_cast<double*>(resBuffer->GetIndexedPropertiesExternalArrayData());
            Md res(refResData, rowsMatrix, colsMatrix);

            if(expParam == 0){
                res = inputMat.Identity(rowsMatrix, colsMatrix);
            }
            else{
                res = inputMat;
                if(expParam < 0){
                    res = res.inverse();
                }

                for (int i=1; i< abs(expParam); i++)
                {
                    res *= inputMat;
                }
            }

            Local<Boolean> b = Nan::New(true);
            info.GetReturnValue().Set(b);
        }
        else{
            Nan::ThrowTypeError("Wrong arguments2");
            Local<Boolean> b = Nan::New(false);
            info.GetReturnValue().Set(b);
        }
    }
    else{
        Nan::ThrowTypeError("Wrong arguments3");
        Local<Boolean> b = Nan::New(false);
        info.GetReturnValue().Set(b);
    }
}

/**
  *  MatrixPower:
  *  Raise a square matrix to the (integer) power n.
  *
  *  arguments:
  *  info[0]: Buffer(object created by Float64Array) represent the numjs.Matrix object to be "powered".
  *           Must be square, i.e. M.rows == M.cols.
  *  info[1]: Number represent the number of rows of the matrix.
  *  info[2]: Number represent the number of columns of the matrix.
  *  info[3]: Number m represent the exponent. Can be any integer or long integer, positive, negative, or zero.
  *  info[4]: Buffer(object created by Float64Array) for return value(M**m).
              If the exponent is positive or zero then the type of the elements is the same as those of M.
              If the exponent is negative the elements are floating-point.
*/
void MatrixPower(const Nan::FunctionCallbackInfo<v8::Value>& info){
    using CMd = Eigen::Map <const Eigen::MatrixXd >;
    using Md = Eigen::Map <Eigen::MatrixXd >;

    if (info.Length() < 5) {
        Nan::ThrowTypeError("Wrong number of arguments");
        return;
    }

    if (!info[1]->IsNumber() || !info[2]->IsNumber() || !info[3]->IsNumber()) {
        Nan::ThrowTypeError("Wrong arguments");
        return;
    }

    
	if (info[0]->IsFloat64Array()) {
		double *refMatrixData = *(Nan::TypedArrayContents<double>(info[0]));
        size_t rowsMatrix(info[1]->Uint32Value());
        size_t colsMatrix(info[2]->Uint32Value());
        double expParam(info[3]->NumberValue());
        Md inputMat(refMatrixData, rowsMatrix, colsMatrix);

		if (info[4]->IsFloat64Array()) {
			double *refResData = *(Nan::TypedArrayContents<double>(info[4]));
            Md res(refResData, rowsMatrix, colsMatrix);

            if(expParam == 0){
                res = inputMat.Identity(rowsMatrix, colsMatrix);
            }
            else{
                res = inputMat;
                if(expParam < 0){
                    res = res.inverse();
                }

                for (int i=1; i< abs(expParam); i++)
                {
                    res *= inputMat;
                }
            }

            Local<Boolean> b = Nan::New(true);
            info.GetReturnValue().Set(b);
        }
        else{
            Nan::ThrowTypeError("Wrong arguments2");
            Local<Boolean> b = Nan::New(false);
            info.GetReturnValue().Set(b);
        }
    }
    else{
        Nan::ThrowTypeError("Wrong arguments3");
        Local<Boolean> b = Nan::New(false);
        info.GetReturnValue().Set(b);
    }
}

void RegisterRemoved(const Nan::FunctionCallbackInfo<v8::Value>& args) {
	Nan::HandleScope scope;

	v8::Local<v8::Function> callback;

	if (args.Length() == 0) {
		return Nan::ThrowTypeError("First argument must be a function");
	}

	if (args.Length() == 1) {
		// callback
		if(!args[0]->IsFunction()) {
			return Nan::ThrowTypeError("First argument must be a function");
		}

		callback = args[0].As<v8::Function>();
	}

	removedCallback = new Nan::Callback(callback);
	isRemovedRegistered = true;
}

void GetClipDatabase(const Nan::FunctionCallbackInfo<v8::Value>& info) {
  if ((info.Length() < 1) || (info.Length() > 1)) {
    Nan::ThrowTypeError("Wrong number of arguments");
    return;
  }

  if (!info[0]->IsNumber()) {
    Nan::ThrowTypeError("Wrong arguments");
    return;
  }

  int sizeOfData = 0;
  char* clipDatabase = GetClipDatabase(sizeOfData);

  v8::Local<v8::String> v8ClipDatabase = v8::String::New(clipDatabase, sizeOfData);
  v8::Local<v8::Object> obj = Nan::New<v8::Object>();
  obj->Set(Nan::New("msg").ToLocalChecked(), v8ClipDatabase);
  info.GetReturnValue().Set(obj);

  FreeClipDatabase(clipDatabase);
}

void VerifyMail(const Nan::FunctionCallbackInfo<v8::Value>& info) {
	if (info.Length() < 3) {
		Nan::ThrowTypeError("Wrong number of arguments");
		return;
	}
	Nan::Utf8String infile(info[0]->ToString());
	Nan::Utf8String outfile(info[1]->ToString());
	Nan::Utf8String recipfile(info[2]->ToString());
	int ret = verify_mime(*infile, *outfile, *recipfile);
	v8::Local<v8::Number> res = Nan::New(ret);
	info.GetReturnValue().Set(res);
}

void DecryptCMSMail(const Nan::FunctionCallbackInfo<v8::Value>& info) {
	if (info.Length() < 4) {
		Nan::ThrowTypeError("Wrong number of arguments");
		return;
	}
	Nan::Utf8String recipfile(info[0]->ToString());
	Nan::Utf8String pass(info[1]->ToString());
	Nan::Utf8String infile(info[2]->ToString());
	Nan::Utf8String outfile(info[3]->ToString());

	int ret = decrypt_cms(*recipfile, *pass, *infile, *outfile);
	v8::Local<v8::Number> res = Nan::New(ret);
	info.GetReturnValue().Set(res);
}

/**
  *  Triu:
  *  Creates a copy of a given matrix with all elements below the diagonal zeroed
  *
  *  arguments:
  *  info[0]: Buffer(object created by Float64Array) represent the numjs.Matrix object to be converted to lower diagonal matrix
  *  info[1]: Number represent the number of rows of the matrix.
  *  info[2]: Number represent the number of columns of the matrix.
  *  info[3]: Buffer(object created by Float64Array) for return value(M**m).
*/
void Triu(const Nan::FunctionCallbackInfo<v8::Value>& info){
    using CMd = Eigen::Map <const Eigen::MatrixXd >;
    using Md = Eigen::Map <Eigen::MatrixXd >;

    if (info.Length() < 4) {
        Nan::ThrowTypeError("Wrong number of arguments");
        return;
    }

    if (!info[1]->IsNumber() || !info[2]->IsNumber()) {
        Nan::ThrowTypeError("Wrong arguments");
        return;
    }

	if (info[0]->IsFloat64Array()) {
		double *refMatrixData = *(Nan::TypedArrayContents<double>(info[0]));
        size_t rowsMatrix(info[1]->Uint32Value());
        size_t colsMatrix(info[2]->Uint32Value());
        Md inputMat(refMatrixData, rowsMatrix, colsMatrix);

		if (info[3]->IsFloat64Array()) {
			double *refResData = *(Nan::TypedArrayContents<double>(info[3]));
            Md res(refResData, rowsMatrix, colsMatrix);
            for (int i = 0; i < rowsMatrix; i++) {
                for (int j = 0; j < colsMatrix; j++) {
                    if (j < i) {
                        res(i, j) = 0;
                    } else {
                        res(i, j) = inputMat(i, j);
                    }
                }
            }

            Local<Boolean> b = Nan::New(true);
            info.GetReturnValue().Set(b);
        }

        else{
            Nan::ThrowTypeError("Wrong argument - output matrix data should be float64array");
            Local<Boolean> b = Nan::New(false);
            info.GetReturnValue().Set(b);
        }
    }
    else{
        Nan::ThrowTypeError("Wrong argument - input matrix data should be float64array");
        Local<Boolean> b = Nan::New(false);
        info.GetReturnValue().Set(b);
    }
}