Removed virtual function definition and implementation for generateUn…

include/linear_congruential_generator.hpp

@@ -51,7 +51,6 @@ class LinearCongruentialGenerator : public PseudoRandomNumberGenerator {
     LinearCongruentialGenerator(const uint64_t seed, const uint64_t modulus, const uint64_t multiplier, const uint64_t increment, const uint64_t mask);
 
     uint64_t generateRandomValue() override;
-    double generateUnitNormalRandomValue() override;
 };
 
 #endif

include/mersenne_twister.hpp

@@ -100,7 +100,6 @@ class MersenneTwister : public PseudoRandomNumberGenerator {
     MersenneTwister(const uint64_t seed);
 
     uint64_t generateRandomValue() override;
-    double generateUnitNormalRandomValue() override;
 };
 
 #endif

include/prng.hpp

@@ -20,7 +20,7 @@ class PseudoRandomNumberGenerator
         uint64_t generateCryptographicallyInsecureSeed();
 
         virtual uint64_t generateRandomValue() = 0;
-        virtual double generateUnitNormalRandomValue() = 0;
+        double generateUnitNormalRandomValue();
         double generateFloatingPointRandomValue(float min, float max);
         int64_t generateIntegerRandomValue(int32_t min, int32_t max);
 };

include/xorshift.hpp

@@ -34,7 +34,6 @@ class XORShift : public PseudoRandomNumberGenerator {
 
 
     uint64_t generateRandomValue() override;
-    double generateUnitNormalRandomValue() override;
 };
 
 #endif

src/prngs/linear_congruential_generator.cpp

@@ -72,19 +72,3 @@ uint64_t LinearCongruentialGenerator::generateRandomValue() {
 
     return m_current_value;
 }
-
-// Generate a random value normalized to the range [0, 1)
-double LinearCongruentialGenerator::generateUnitNormalRandomValue() {
-
-    uint64_t random_value = generateRandomValue();
-
-    uint64_t range = m_maximum_value - m_minimum_value;
-    if (range == 0) {
-        return 0.0; // Avoid division by zero
-    }
-
-    // Normalize the random value to [0, 1)
-    double normalized_value = static_cast<double>(random_value - m_minimum_value) / static_cast<double>(range);
-    return normalized_value;
-}
-

src/prngs/mersenne_twister.cpp

@@ -111,18 +111,3 @@ uint64_t MersenneTwister::generateRandomValue(){
     uint64_t tempered_value = tempering(raw_value);
     return tempered_value;
 }
-
-// Generate a random value normalized to the range [0, 1)
-double MersenneTwister::generateUnitNormalRandomValue() {
-
-    uint64_t random_value = generateRandomValue();
-
-    uint64_t range = m_maximum_value - m_minimum_value;
-    if (range == 0) {
-        return 0.0; // Avoid division by zero
-    }
-
-    // Normalize the random value to [0, 1)
-    double normalized_value = static_cast<double>(random_value - m_minimum_value) / static_cast<double>(range);
-    return normalized_value;
-}

src/prngs/prng.cpp

@@ -66,4 +66,4 @@ double PseudoRandomNumberGenerator::generateUnitNormalRandomValue() {
     // Normalize the random value to [0, 1)
     double normalized_value = static_cast<double>(random_value - m_minimum_value) / static_cast<double>(range);
     return normalized_value;
-}
+}

src/prngs/xorshift.cpp

@@ -36,19 +36,3 @@ uint64_t XORShift::generateRandomValue() {
 
     return m_current_value;
 }
-
-// Generate a random value normalized to the range [0, 1)
-double XORShift::generateUnitNormalRandomValue() {
-
-    uint64_t random_value = generateRandomValue();
-
-    uint64_t range = m_maximum_value - m_minimum_value;
-    if (range == 0) {
-        return 0.0; // Avoid division by zero
-    }
-
-    // Normalize the random value to [0, 1)
-    double normalized_value = static_cast<double>(random_value - m_minimum_value) / static_cast<double>(range);
-    return normalized_value;
-}
-