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=== modRandomity === | |||
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<pre class="VVB6 | <pre class="VVB6"> | ||
'' modRandomity | |||
'' by Codasaurus Hex 2024.03.1 | |||
'' prompted by XenoEngineer@groupKOS.com | |||
' | |||
' For a laboratory noise study that encompasses a broad range of algorithms, | |||
' i 'll [sic -xe] define an expanded enumeration in VB6 to cover a variety of | |||
' pseudorandom number generators (PRNGs), cryptographically secure pseudorandom | |||
' number generators (CSPRNGs), and other notable algorithms that can be simulated | |||
' or implemented in a VB6 environment. Given VB6's limitations and the computational | |||
' complexity of some modern algorithms, the focus will be on those feasible within | |||
' its capabilities. | |||
' | |||
' --Codasaurus Hex | |||
Public Enum enumRandomAlgorithm | |||
End | enuRA_VB6_Rnd | ||
enuRA_LCG ' Linear Congruential Generator **See note at EOF | |||
enuRA_MersenneTwister ' Mersenne Twister, specifically MT19937 | |||
enuRA_Xorshift ' A class of shift-register generators | |||
enuRA_WELL ' Well Equidistributed Long-period Linear | |||
enuRA_BlumBlumShub ' Cryptographically secure based on hard mathematical problems | |||
enuRA_ANSI_X9_17 ' A CSPRNG standard using block ciphers | |||
enuRA_NIST_SP800_90A_HMAC_DRBG ' A CSPRNG from NIST using HMAC | |||
enuRA_NIST_SP800_90A_CTR_DRBG ' A CSPRNG from NIST using block cipher in counter mode | |||
enuRA_SimplexNoise ' Used for procedural content generation, similar to Perlin but computationally more efficient | |||
enuRA_CellularAutomata ' For generating randomness through cellular automata rules | |||
enuRA_LaggedFibonacci ' A lagged Fibonacci generator | |||
enuRA_Quantum ' Representing quantum random number generators, though not directly implementable in VB6 | |||
End Enum | |||
' Below is the GetAlgorithmParametersTemplate function expanded to include a case for | |||
' each of the algorithms listed above. Since VB6 cannot directly implement quantum | |||
' random number generators or certain complex CSPRNGs due to hardware limitations or | |||
' the need for modern cryptographic libraries, those cases will note the algorithm's | |||
' typical context or parameters rather than specific implementable details. | |||
Public Function GetAlgorithmParametersTemplate(ByVal algorithm As enumRandomAlgorithm) As String | |||
'' by Codasaurus Hex 2024.03.1 | |||
Select Case algorithm | |||
Case LCG | |||
GetAlgorithmParametersTemplate = "Multiplier=a;Increment=c;Modulus=m" | |||
Case MersenneTwister | |||
GetAlgorithmParametersTemplate = "WordSize=w;DegreeOfRecurrence=n;MiddleWord=m;SeparationPoint=s;TemperingParameterB=b" | |||
Case Xorshift | |||
GetAlgorithmParametersTemplate = "ShiftValues=[A,B,C]" | |||
Case WELL | |||
GetAlgorithmParametersTemplate = "StateSize=State;Tap=Tap;Choice=Choice" | |||
Case BlumBlumShub | |||
GetAlgorithmParametersTemplate = "Prime1=p;Prime2=q;Seed=s" | |||
Case ANSI_X9_17 | |||
GetAlgorithmParametersTemplate = "Key=EncryptionKey;Seed=InitialSeed;Timestamp=CurrentTime" | |||
Case NIST_SP800_90A_HMAC_DRBG | |||
GetAlgorithmParametersTemplate = "EntropyInput=Entropy;Nonce=Nonce;PersonalizationString=PersonalString" | |||
Case NIST_SP800_90A_CTR_DRBG | |||
GetAlgorithmParametersTemplate = "EntropyInput=Entropy;Nonce=Nonce;PersonalizationString=PersonalString" | |||
Case SimplexNoise | |||
GetAlgorithmParametersTemplate = "Gradient=Gradient;Frequency=Freq;Amplitude=Amp;Octaves=Oct;Persistence=Pers" | |||
Case CellularAutomata | |||
GetAlgorithmParametersTemplate = "RuleSet=RuleNumber;InitialState=State;Iterations=Iter" | |||
Case LaggedFibonacci | |||
GetAlgorithmParametersTemplate = "J=J;K=K;Modulus=M" | |||
Case Quantum | |||
GetAlgorithmParametersTemplate = "Note: Quantum RNGs rely on physical phenomena and are not directly implementable in VB6" | |||
Case VB6_Rnd | |||
GetAlgorithmParametersTemplate = "Seed=Optional seed value for Randomize function" | |||
' Placeholder for additional algorithms not specifically listed | |||
Case Else | |||
GetAlgorithmParametersAsString = "Parameters for this algorithm are not defined." | |||
End Select | |||
' Usage: | |||
' | |||
' To use this function, you would call it with the specific algorithm type you're interested in, | |||
' and then include the returned pseudocode string in your documentation or header: | |||
' | |||
' Dim algorithmType As enumRandomAlgorithm | |||
' algorithmType = LCG ' Example: Selecting the Linear Congruential Generator | |||
' | |||
' Dim pseudocode As String | |||
' pseudocode = GetAlgorithmPseudocode(algorithmType) | |||
' | |||
' ' The pseudocode variable now contains the pseudocode for the LCG, ready for inclusion in a header or documentation. | |||
' This approach provides a structured and extensible way to document the operational logic of various random number | |||
' generation algorithms within the constraints of the VB6 environment, aiding in clarity and understanding for | |||
' developers and researchers alike. | |||
' Explanation: | |||
' | |||
' Each case in the Select Case statement corresponds to an algorithm type from the enumRandomAlgorithm enumeration. | |||
' For each algorithm, a string containing the pseudocode is returned. This pseudocode is simplified to capture | |||
' the essence of the algorithm's operation without delving into implementation-specific details. | |||
' The pseudocode is formatted as a comment block (') that can be included directly in VB6 code or documentation. | |||
' It 's written to be understandable at a high level, allowing developers or researchers to grasp the algorithm's | |||
' core logic quickly. | |||
' This function can be expanded to include additional algorithms by adding more cases to the Select Case statement, | |||
' each with its corresponding pseudocode. | |||
End Function | |||
Public Function GetAlgorithmPseudocode(ByVal algorithm As enumRandomAlgorithm) As String | |||
'' by Codasaurus Hex 2024.03.1 | |||
Select Case algorithm | |||
Case LCG | |||
GetAlgorithmPseudocode = _ | |||
"' Linear Congruential Generator Pseudocode" & vbCrLf & _ | |||
"state = (a * state + c) mod m" | |||
Case MersenneTwister | |||
GetAlgorithmPseudocode = _ | |||
"' Mersenne Twister Pseudocode" & vbCrLf & _ | |||
"if index >= n then" & vbCrLf & _ | |||
" twist()" & vbCrLf & _ | |||
"end if" & vbCrLf & _ | |||
"y = MT[index]" & vbCrLf & _ | |||
"y = y xor ((y >> u) and d)" & vbCrLf & _ | |||
"y = y xor ((y << s) and b)" & vbCrLf & _ | |||
"y = y xor ((y << t) and c)" & vbCrLf & _ | |||
"y = y xor (y >> l)" & vbCrLf & _ | |||
"index = index + 1" & vbCrLf & _ | |||
"return y" | |||
Case Xorshift | |||
GetAlgorithmPseudocode = _ | |||
"' Xorshift Pseudocode" & vbCrLf & _ | |||
"x ^= x << a" & vbCrLf & _ | |||
"x ^= x >> b" & vbCrLf & _ | |||
"x ^= x << c" & vbCrLf & _ | |||
"return x" | |||
Case WELL | |||
GetAlgorithmPseudocode = _ | |||
"' WELL (Well Equidistributed Long-period Linear) Pseudocode" & vbCrLf & _ | |||
"state[n] = f(state[n], state[m], ...)" & vbCrLf & _ | |||
"return state[n]" | |||
Case BlumBlumShub | |||
GetAlgorithmPseudocode = _ | |||
"' Blum Blum Shub Pseudocode" & vbCrLf & _ | |||
"x = x^2 mod n" & vbCrLf & _ | |||
"return x" | |||
Case ANSI_X9_17 | |||
GetAlgorithmPseudocode = _ | |||
"' ANSI X9.17 Pseudocode" & vbCrLf & _ | |||
"timestamp = getCurrentTimestamp()" & vbCrLf & _ | |||
"key = getEncryptionKey()" & vbCrLf & _ | |||
"seed = encrypt(timestamp, key)" & vbCrLf & _ | |||
"output = encrypt(seed xor previousOutput, key)" & vbCrLf & _ | |||
"previousOutput = output" & vbCrLf & _ | |||
"return output" | |||
Case NIST_SP800_90A_HMAC_DRBG | |||
GetAlgorithmPseudocode = _ | |||
"' NIST SP800-90A HMAC DRBG Pseudocode" & vbCrLf & _ | |||
"V = HMAC(Seed, V)" & vbCrLf & _ | |||
"C = HMAC(Seed, V + 1)" & vbCrLf & _ | |||
"reseed_counter = 1" & vbCrLf & _ | |||
"return HMAC(V, data)" | |||
Case NIST_SP800_90A_CTR_DRBG | |||
GetAlgorithmPseudocode = _ | |||
"' NIST SP800-90A CTR DRBG Pseudocode" & vbCrLf & _ | |||
"V = AES-CTR(Seed, V)" & vbCrLf & _ | |||
"C = AES-CTR(Seed, V + 1)" & vbCrLf & _ | |||
"reseed_counter = 1" & vbCrLf & _ | |||
"return AES-CTR(V, data)" | |||
Case SimplexNoise | |||
GetAlgorithmPseudocode = _ | |||
"' Simplex Noise Pseudocode" & vbCrLf & _ | |||
"for each grid point:" & vbCrLf & _ | |||
" calculate the contribution to the noise" & vbCrLf & _ | |||
"combine contributions for final value" | |||
Case CellularAutomata | |||
GetAlgorithmPseudocode = _ | |||
"' Cellular Automata Pseudocode" & vbCrLf & _ | |||
"for each cell in grid:" & vbCrLf & _ | |||
" newState = applyRule(currentState, neighborStates)" & vbCrLf & _ | |||
"update grid with new states" | |||
Case LaggedFibonacci | |||
GetAlgorithmPseudocode = _ | |||
"' Lagged Fibonacci Pseudocode" & vbCrLf & _ | |||
"x[i] = (x[i-J] op x[i-K]) mod M" & vbCrLf & _ | |||
"where op is an operation (e.g., addition, subtraction)" | |||
Case Quantum | |||
GetAlgorithmPseudocode = _ | |||
"' Quantum RNG Pseudocode (Conceptual)" & vbCrLf & _ | |||
"measureQuantumBit()" & vbCrLf & _ | |||
"return bitValue" | |||
' Adding more algorithms for a broader perspective | |||
Case Algorithm_PerlinNoise | |||
GetAlgorithmPseudocode = _ | |||
"' Perlin Noise Pseudocode" & vbCrLf & _ | |||
"for each point in grid:" & vbCrLf & _ | |||
" find surrounding grid points" & vbCrLf & _ | |||
" compute gradients" & vbCrLf & _ | |||
" calculate dot product" & vbCrLf & _ | |||
" interpolate results" & vbCrLf & _ | |||
"return noise value" | |||
' Example for a generic hash-based CSPRNG | |||
Case HashBasedCSPRNG | |||
GetAlgorithmPseudocode = _ | |||
"' Hash-Based CSPRNG Pseudocode" & vbCrLf & _ | |||
"seed = initialSeed" & vbCrLf & _ | |||
"while more random bits needed:" & vbCrLf & _ | |||
" seed = hashFunction(seed)" & vbCrLf & _ | |||
" outputBits = extractBits(seed)" & vbCrLf & _ | |||
"return outputBits" | |||
Case enuRA_VB6_Rnd | |||
GetAlgorithmPseudocode = _ | |||
"' VB6 Rnd() Function Pseudocode" & vbCrLf & _ | |||
"' Optionally seed the generator" & vbCrLf & _ | |||
"Randomize [seed]" & vbCrLf & _ | |||
"' Generate a random number between 0 and 1" & vbCrLf & _ | |||
"randomNumber = Rnd()" & vbCrLf & _ | |||
"' To generate a random number in a range" & vbCrLf & _ | |||
"randomInRange = Int((upperBound - lowerBound + 1) * Rnd() + lowerBound)" | |||
' Placeholder for additional algorithms not specifically listed | |||
Case Else | |||
GetAlgorithmPseudocode = "Pseudocode for this algorithm is not available." | |||
End Select | |||
' Additional Notes | |||
' Blum Blum Shub and ANSI X9.17 are presented in a simplified manner, focusing on the core concept. | |||
' In practice, these algorithms involve more detailed operations, especially regarding cryptographic | |||
' security and proper seed management. | |||
' NIST DRBGs (both HMAC and CTR) are summarized to reflect their process of using cryptographic | |||
' functions to produce random bits. The actual specifications include detailed state management | |||
' and reseeding mechanisms to ensure security. | |||
' Simplex Noise, Cellular Automata, and Lagged Fibonacci illustrate basic operations. These algorithms | |||
' are more complex in their full implementations, especially when optimized for performance and quality. | |||
' The Quantum case is conceptual, as actual quantum random number generation requires physical quantum | |||
' phenomena, which cannot be directly simulated in software. | |||
' The added Perlin Noise and Hash-Based CSPRNG cases give an idea of how other common algorithms might | |||
' be described in pseudocode. These serve as examples of procedural generation and cryptographic | |||
' security, respectively. | |||
' This expanded function aims to cover a wide range of algorithms, providing a starting point for | |||
' researchers and developers to understand and document the operation of various random number | |||
' generators within their projects. | |||
End Function | |||
' ======================================================================================== | |||
' The VB6 Rnd() function is a type of Pseudorandom Number Generator (PRNG). Specifically, | |||
' it is based on a Linear Congruential Generator (LCG), one of the oldest and simplest | |||
' methods for generating sequences of random numbers. The core principle behind an LCG | |||
' involves using a linear equation to produce a sequence of numbers, where each number in | |||
' the sequence is determined by a linear function of the previous number, modulo a certain | |||
' value. The general form of this equation is: | |||
' | |||
' X(n+1) = (a * X(n) + c) mod m | |||
' | |||
' where: | |||
' - X is the sequence of pseudorandom numbers, | |||
' - a (the multiplier), c (the increment), and m (the modulus) are constants, | |||
' - n is the index of the current number in the sequence. | |||
' | |||
' The Rnd() function in VB6 generates numbers between 0 and 1 (inclusive of 0 but not 1) | |||
' with a floating-point representation. It can be seeded manually using the Randomize | |||
' statement; if Randomize is not called, VB6 uses a default seed value, which means that | |||
' the same sequence of numbers can be generated each time a program runs, if Randomize is | |||
' not used with a varying seed value. | |||
' | |||
' The nature of Rnd() being an LCG means it inherits the characteristics and limitations of | |||
' LCGs, including: | |||
' | |||
' - Predictability: With knowledge of the algorithm's parameters and the seed, the | |||
' sequence of numbers can be predicted. | |||
' - Periodicity: The sequence will eventually repeat itself. | |||
' - Quality of Randomness: While suitable for many applications, the randomness generated | |||
' by LCGs (and therefore Rnd()) may not meet the criteria required for cryptographic | |||
' purposes or simulations requiring high-quality randomness. | |||
' | |||
' For most casual use cases, like simple simulations, games, or non-security-critical | |||
' applications, Rnd() provides a convenient and sufficient source of randomness. However, | |||
' for applications requiring cryptographically secure random numbers or high-quality | |||
' randomness, other algorithms or external libraries are recommended. | |||
' ======================================================================================== | |||
</pre> | </pre> | ||
</html> | </html> | ||
</div> | </div> |
Latest revision as of 15:56, 1 March 2024
modRandomity
'' modRandomity '' by Codasaurus Hex 2024.03.1 '' prompted by XenoEngineer@groupKOS.com ' ' For a laboratory noise study that encompasses a broad range of algorithms, ' i 'll [sic -xe] define an expanded enumeration in VB6 to cover a variety of ' pseudorandom number generators (PRNGs), cryptographically secure pseudorandom ' number generators (CSPRNGs), and other notable algorithms that can be simulated ' or implemented in a VB6 environment. Given VB6's limitations and the computational ' complexity of some modern algorithms, the focus will be on those feasible within ' its capabilities. ' ' --Codasaurus Hex Public Enum enumRandomAlgorithm enuRA_VB6_Rnd enuRA_LCG ' Linear Congruential Generator **See note at EOF enuRA_MersenneTwister ' Mersenne Twister, specifically MT19937 enuRA_Xorshift ' A class of shift-register generators enuRA_WELL ' Well Equidistributed Long-period Linear enuRA_BlumBlumShub ' Cryptographically secure based on hard mathematical problems enuRA_ANSI_X9_17 ' A CSPRNG standard using block ciphers enuRA_NIST_SP800_90A_HMAC_DRBG ' A CSPRNG from NIST using HMAC enuRA_NIST_SP800_90A_CTR_DRBG ' A CSPRNG from NIST using block cipher in counter mode enuRA_SimplexNoise ' Used for procedural content generation, similar to Perlin but computationally more efficient enuRA_CellularAutomata ' For generating randomness through cellular automata rules enuRA_LaggedFibonacci ' A lagged Fibonacci generator enuRA_Quantum ' Representing quantum random number generators, though not directly implementable in VB6 End Enum ' Below is the GetAlgorithmParametersTemplate function expanded to include a case for ' each of the algorithms listed above. Since VB6 cannot directly implement quantum ' random number generators or certain complex CSPRNGs due to hardware limitations or ' the need for modern cryptographic libraries, those cases will note the algorithm's ' typical context or parameters rather than specific implementable details. Public Function GetAlgorithmParametersTemplate(ByVal algorithm As enumRandomAlgorithm) As String '' by Codasaurus Hex 2024.03.1 Select Case algorithm Case LCG GetAlgorithmParametersTemplate = "Multiplier=a;Increment=c;Modulus=m" Case MersenneTwister GetAlgorithmParametersTemplate = "WordSize=w;DegreeOfRecurrence=n;MiddleWord=m;SeparationPoint=s;TemperingParameterB=b" Case Xorshift GetAlgorithmParametersTemplate = "ShiftValues=[A,B,C]" Case WELL GetAlgorithmParametersTemplate = "StateSize=State;Tap=Tap;Choice=Choice" Case BlumBlumShub GetAlgorithmParametersTemplate = "Prime1=p;Prime2=q;Seed=s" Case ANSI_X9_17 GetAlgorithmParametersTemplate = "Key=EncryptionKey;Seed=InitialSeed;Timestamp=CurrentTime" Case NIST_SP800_90A_HMAC_DRBG GetAlgorithmParametersTemplate = "EntropyInput=Entropy;Nonce=Nonce;PersonalizationString=PersonalString" Case NIST_SP800_90A_CTR_DRBG GetAlgorithmParametersTemplate = "EntropyInput=Entropy;Nonce=Nonce;PersonalizationString=PersonalString" Case SimplexNoise GetAlgorithmParametersTemplate = "Gradient=Gradient;Frequency=Freq;Amplitude=Amp;Octaves=Oct;Persistence=Pers" Case CellularAutomata GetAlgorithmParametersTemplate = "RuleSet=RuleNumber;InitialState=State;Iterations=Iter" Case LaggedFibonacci GetAlgorithmParametersTemplate = "J=J;K=K;Modulus=M" Case Quantum GetAlgorithmParametersTemplate = "Note: Quantum RNGs rely on physical phenomena and are not directly implementable in VB6" Case VB6_Rnd GetAlgorithmParametersTemplate = "Seed=Optional seed value for Randomize function" ' Placeholder for additional algorithms not specifically listed Case Else GetAlgorithmParametersAsString = "Parameters for this algorithm are not defined." End Select ' Usage: ' ' To use this function, you would call it with the specific algorithm type you're interested in, ' and then include the returned pseudocode string in your documentation or header: ' ' Dim algorithmType As enumRandomAlgorithm ' algorithmType = LCG ' Example: Selecting the Linear Congruential Generator ' ' Dim pseudocode As String ' pseudocode = GetAlgorithmPseudocode(algorithmType) ' ' ' The pseudocode variable now contains the pseudocode for the LCG, ready for inclusion in a header or documentation. ' This approach provides a structured and extensible way to document the operational logic of various random number ' generation algorithms within the constraints of the VB6 environment, aiding in clarity and understanding for ' developers and researchers alike. ' Explanation: ' ' Each case in the Select Case statement corresponds to an algorithm type from the enumRandomAlgorithm enumeration. ' For each algorithm, a string containing the pseudocode is returned. This pseudocode is simplified to capture ' the essence of the algorithm's operation without delving into implementation-specific details. ' The pseudocode is formatted as a comment block (') that can be included directly in VB6 code or documentation. ' It 's written to be understandable at a high level, allowing developers or researchers to grasp the algorithm's ' core logic quickly. ' This function can be expanded to include additional algorithms by adding more cases to the Select Case statement, ' each with its corresponding pseudocode. End Function Public Function GetAlgorithmPseudocode(ByVal algorithm As enumRandomAlgorithm) As String '' by Codasaurus Hex 2024.03.1 Select Case algorithm Case LCG GetAlgorithmPseudocode = _ "' Linear Congruential Generator Pseudocode" & vbCrLf & _ "state = (a * state + c) mod m" Case MersenneTwister GetAlgorithmPseudocode = _ "' Mersenne Twister Pseudocode" & vbCrLf & _ "if index >= n then" & vbCrLf & _ " twist()" & vbCrLf & _ "end if" & vbCrLf & _ "y = MT[index]" & vbCrLf & _ "y = y xor ((y >> u) and d)" & vbCrLf & _ "y = y xor ((y << s) and b)" & vbCrLf & _ "y = y xor ((y << t) and c)" & vbCrLf & _ "y = y xor (y >> l)" & vbCrLf & _ "index = index + 1" & vbCrLf & _ "return y" Case Xorshift GetAlgorithmPseudocode = _ "' Xorshift Pseudocode" & vbCrLf & _ "x ^= x << a" & vbCrLf & _ "x ^= x >> b" & vbCrLf & _ "x ^= x << c" & vbCrLf & _ "return x" Case WELL GetAlgorithmPseudocode = _ "' WELL (Well Equidistributed Long-period Linear) Pseudocode" & vbCrLf & _ "state[n] = f(state[n], state[m], ...)" & vbCrLf & _ "return state[n]" Case BlumBlumShub GetAlgorithmPseudocode = _ "' Blum Blum Shub Pseudocode" & vbCrLf & _ "x = x^2 mod n" & vbCrLf & _ "return x" Case ANSI_X9_17 GetAlgorithmPseudocode = _ "' ANSI X9.17 Pseudocode" & vbCrLf & _ "timestamp = getCurrentTimestamp()" & vbCrLf & _ "key = getEncryptionKey()" & vbCrLf & _ "seed = encrypt(timestamp, key)" & vbCrLf & _ "output = encrypt(seed xor previousOutput, key)" & vbCrLf & _ "previousOutput = output" & vbCrLf & _ "return output" Case NIST_SP800_90A_HMAC_DRBG GetAlgorithmPseudocode = _ "' NIST SP800-90A HMAC DRBG Pseudocode" & vbCrLf & _ "V = HMAC(Seed, V)" & vbCrLf & _ "C = HMAC(Seed, V + 1)" & vbCrLf & _ "reseed_counter = 1" & vbCrLf & _ "return HMAC(V, data)" Case NIST_SP800_90A_CTR_DRBG GetAlgorithmPseudocode = _ "' NIST SP800-90A CTR DRBG Pseudocode" & vbCrLf & _ "V = AES-CTR(Seed, V)" & vbCrLf & _ "C = AES-CTR(Seed, V + 1)" & vbCrLf & _ "reseed_counter = 1" & vbCrLf & _ "return AES-CTR(V, data)" Case SimplexNoise GetAlgorithmPseudocode = _ "' Simplex Noise Pseudocode" & vbCrLf & _ "for each grid point:" & vbCrLf & _ " calculate the contribution to the noise" & vbCrLf & _ "combine contributions for final value" Case CellularAutomata GetAlgorithmPseudocode = _ "' Cellular Automata Pseudocode" & vbCrLf & _ "for each cell in grid:" & vbCrLf & _ " newState = applyRule(currentState, neighborStates)" & vbCrLf & _ "update grid with new states" Case LaggedFibonacci GetAlgorithmPseudocode = _ "' Lagged Fibonacci Pseudocode" & vbCrLf & _ "x[i] = (x[i-J] op x[i-K]) mod M" & vbCrLf & _ "where op is an operation (e.g., addition, subtraction)" Case Quantum GetAlgorithmPseudocode = _ "' Quantum RNG Pseudocode (Conceptual)" & vbCrLf & _ "measureQuantumBit()" & vbCrLf & _ "return bitValue" ' Adding more algorithms for a broader perspective Case Algorithm_PerlinNoise GetAlgorithmPseudocode = _ "' Perlin Noise Pseudocode" & vbCrLf & _ "for each point in grid:" & vbCrLf & _ " find surrounding grid points" & vbCrLf & _ " compute gradients" & vbCrLf & _ " calculate dot product" & vbCrLf & _ " interpolate results" & vbCrLf & _ "return noise value" ' Example for a generic hash-based CSPRNG Case HashBasedCSPRNG GetAlgorithmPseudocode = _ "' Hash-Based CSPRNG Pseudocode" & vbCrLf & _ "seed = initialSeed" & vbCrLf & _ "while more random bits needed:" & vbCrLf & _ " seed = hashFunction(seed)" & vbCrLf & _ " outputBits = extractBits(seed)" & vbCrLf & _ "return outputBits" Case enuRA_VB6_Rnd GetAlgorithmPseudocode = _ "' VB6 Rnd() Function Pseudocode" & vbCrLf & _ "' Optionally seed the generator" & vbCrLf & _ "Randomize [seed]" & vbCrLf & _ "' Generate a random number between 0 and 1" & vbCrLf & _ "randomNumber = Rnd()" & vbCrLf & _ "' To generate a random number in a range" & vbCrLf & _ "randomInRange = Int((upperBound - lowerBound + 1) * Rnd() + lowerBound)" ' Placeholder for additional algorithms not specifically listed Case Else GetAlgorithmPseudocode = "Pseudocode for this algorithm is not available." End Select ' Additional Notes ' Blum Blum Shub and ANSI X9.17 are presented in a simplified manner, focusing on the core concept. ' In practice, these algorithms involve more detailed operations, especially regarding cryptographic ' security and proper seed management. ' NIST DRBGs (both HMAC and CTR) are summarized to reflect their process of using cryptographic ' functions to produce random bits. The actual specifications include detailed state management ' and reseeding mechanisms to ensure security. ' Simplex Noise, Cellular Automata, and Lagged Fibonacci illustrate basic operations. These algorithms ' are more complex in their full implementations, especially when optimized for performance and quality. ' The Quantum case is conceptual, as actual quantum random number generation requires physical quantum ' phenomena, which cannot be directly simulated in software. ' The added Perlin Noise and Hash-Based CSPRNG cases give an idea of how other common algorithms might ' be described in pseudocode. These serve as examples of procedural generation and cryptographic ' security, respectively. ' This expanded function aims to cover a wide range of algorithms, providing a starting point for ' researchers and developers to understand and document the operation of various random number ' generators within their projects. End Function ' ======================================================================================== ' The VB6 Rnd() function is a type of Pseudorandom Number Generator (PRNG). Specifically, ' it is based on a Linear Congruential Generator (LCG), one of the oldest and simplest ' methods for generating sequences of random numbers. The core principle behind an LCG ' involves using a linear equation to produce a sequence of numbers, where each number in ' the sequence is determined by a linear function of the previous number, modulo a certain ' value. The general form of this equation is: ' ' X(n+1) = (a * X(n) + c) mod m ' ' where: ' - X is the sequence of pseudorandom numbers, ' - a (the multiplier), c (the increment), and m (the modulus) are constants, ' - n is the index of the current number in the sequence. ' ' The Rnd() function in VB6 generates numbers between 0 and 1 (inclusive of 0 but not 1) ' with a floating-point representation. It can be seeded manually using the Randomize ' statement; if Randomize is not called, VB6 uses a default seed value, which means that ' the same sequence of numbers can be generated each time a program runs, if Randomize is ' not used with a varying seed value. ' ' The nature of Rnd() being an LCG means it inherits the characteristics and limitations of ' LCGs, including: ' ' - Predictability: With knowledge of the algorithm's parameters and the seed, the ' sequence of numbers can be predicted. ' - Periodicity: The sequence will eventually repeat itself. ' - Quality of Randomness: While suitable for many applications, the randomness generated ' by LCGs (and therefore Rnd()) may not meet the criteria required for cryptographic ' purposes or simulations requiring high-quality randomness. ' ' For most casual use cases, like simple simulations, games, or non-security-critical ' applications, Rnd() provides a convenient and sufficient source of randomness. However, ' for applications requiring cryptographically secure random numbers or high-quality ' randomness, other algorithms or external libraries are recommended. ' ========================================================================================