diff --git a/VectorTest/DR3_tests.cpp b/VectorTest/DR3_tests.cpp
index 0a8f294..b1833bf 100644
--- a/VectorTest/DR3_tests.cpp
+++ b/VectorTest/DR3_tests.cpp
@@ -2241,7 +2241,6 @@ void testReduce_VecM_22(int SZ)
 	EXPECT_NUMERIC_EQ(MAX_M, asNumber(asNumber(SZ - 1)));
 
 
-	//auto resMulti_3 = reduceM(testVec, SUM, MAX, MIN);
 	auto resMulti_3 = reduceM2(testVec, SUM, MAX, MIN);
 	auto res_lambda_0 = std::get<0>(resMulti_3);
 	auto res_lambda_1 = std::get<1>(resMulti_3);
@@ -2269,6 +2268,80 @@ void testReduce_VecM_22(int SZ)
 
 
 
+void testReduce_GeneralVariadic(int SZ) 
+{
+
+
+	std::vector<Numeric> input(SZ, asNumber(0.0));
+	std::iota(begin(input), end(input), asNumber(0.0));
+
+	std::random_device rd;
+	std::mt19937 g(rd());
+	std::shuffle(begin(input), end(input), g);
+
+
+	auto SUM = [](auto x, auto y) { return x + y; };
+	auto SUM2 = [](auto x, auto y) { return x*x + y; };
+	auto SUM_SQR = [](auto x, auto y) { return x + y * y; };
+
+	double smSqr = 0.0;
+	double sm = 0.0;
+	double sm2 = 0.0;
+
+	smSqr = std::reduce(input.begin(), input.end(), 0.0, SUM_SQR);
+	sm = std::reduce(input.begin(), input.end(), 0.0, SUM);
+	sm2 = std::reduce(input.begin(), input.end(), 0.0, SUM2);
+
+
+	auto lambdas_3 = std::make_tuple(SUM, SUM2, SUM_SQR); //tupple of lambdas
+
+	//create initial value tuples
+	double nill =  0.0 ;
+	auto init_values_3 = std::make_tuple(nill, nill, nill);
+
+	auto resMulti_3 = reduceM(input.begin(), input.end(),   lambdas_3, init_values_3);
+
+
+	double SUM_RES = std::get<0>(resMulti_3);
+	auto SUM2_RES = std::get<1>(resMulti_3);
+	auto SUM_SQR_RES = std::get<2>(resMulti_3);
+	auto expectedSum = asNumber((SZ - (long)(1)) * (SZ / 2.0));
+
+	EXPECT_NUMERIC_EQ(SUM_RES, sm);
+	EXPECT_NUMERIC_EQ(SUM2_RES, sm2);
+	EXPECT_NUMERIC_EQ(SUM_SQR_RES, smSqr);
+
+}
+
+
+
+
+/*
+test gteneral multi reduce 
+*/
+TEST(TestDR3, testReduce_GeneralVariadic)
+{
+
+	testReduce_GeneralVariadic(2);
+	testReduce_GeneralVariadic(3);
+	testReduce_GeneralVariadic(4);
+
+
+	for (int SZ = 3; SZ < 33; SZ++)
+	{
+		testReduce_GeneralVariadic(SZ);
+	}
+
+
+	testReduce_GeneralVariadic(34);
+	testReduce_GeneralVariadic(63);
+	testReduce_GeneralVariadic(64);
+	testReduce_GeneralVariadic(65);
+
+
+}
+
+
 
 /*
 tests mult with x4 unroll
diff --git a/Vectorisation/VecX/dr3.h b/Vectorisation/VecX/dr3.h
index 80becc2..3f47143 100644
--- a/Vectorisation/VecX/dr3.h
+++ b/Vectorisation/VecX/dr3.h
@@ -959,3 +959,35 @@ Vec<INS_VEC> scan(const Vec<INS_VEC>& rhs1, OP& oper)
 {
 	return ApplyScan(rhs1, oper);
 }
+
+///*
+////////////////  variadic reduction
+// Helper function to call a single lambda with the current state and value
+template<std::size_t Index, typename Tuple, typename State, typename Value>
+auto applyLambda(const Tuple& lambdas, State state, Value value) {
+	return std::get<Index>(lambdas)(state, value);
+}
+
+// Recursive case: apply the lambdas to each value in the sequence
+template<typename Tuple, typename InIt, typename... States, std::size_t... Indices>
+auto applyLambdasImpl(const Tuple& lambdas, InIt first, InIt last, std::tuple<States...> states, std::index_sequence<Indices...>)
+{
+	for (; first != last; ++first)
+	{
+		states = std::make_tuple(applyLambda<Indices>(lambdas, std::get<Indices>(states), *first)...);
+	}
+	return states;
+}
+
+// Main function to apply multiple lambdas to each value in the sequence
+template<typename InIt, typename... Lambdas, typename... States>
+auto reduceM(InIt first, InIt last, const std::tuple<Lambdas...>& lambdas, std::tuple<States...> initStates)
+{
+	if (first == last)
+	{
+		throw std::invalid_argument("Input range cannot be empty");
+	}
+	return applyLambdasImpl(lambdas, first, last, initStates, std::index_sequence_for<Lambdas...>{});
+}
+
+//*/
\ No newline at end of file
diff --git a/scratch/scratch.cpp b/scratch/scratch.cpp
index 5eec9ff..c5cf65f 100644
--- a/scratch/scratch.cpp
+++ b/scratch/scratch.cpp
@@ -201,18 +201,9 @@ int main()
             // reduce with binned accumulator
             auto scale = 1.0;// pow(1024.0, 2);
             using BINNED_ACCUMULATOR = BinsT<VecXX::INS>;
-            BINNED_ACCUMULATOR Bin(0.0, scale);// / BINNED_ACCUMULATOR.BIG_C[0]);
+            BINNED_ACCUMULATOR Bin(0.0, scale);//
 
-            //auto mult = 1.0;// pow(1024, -1);
-            //auto mixedBig = mixed* mult;// *scale;// 1024.;
-            //scale
-            double len = static_cast<double>(mixed.size());
-            auto maxSize = [](auto lhs, auto rhs) { return max(abs(lhs), abs(rhs)); };
-            //auto minSize = [](auto lhs, auto rhs) { return min(abs(lhs), abs(rhs)); };
 
-            auto range = reduce(mixed, maxSize);
-
-           //Bin.m_scaleFactor = Bin.BIG_C;// / (range * len);
 
             auto binned_Sum = reduceWithAccumulator(Bin, mixed, BinnedAdd);