}// end : public void ConsoleTensorPublisher( string message, long[,] SignedArray )
public static void ConsoleTensor_Ratio_Publisher(string message, RealField.RatioReducingResults theReducedRatio)
{
Console.WriteLine("\r\n follows the Reduced Ratio : " + message);
// Console output : it's useful to call it once before the sorting and once kust after.
for (int c = 0; c < theReducedRatio.Num_simplified_factorization.Length / 2; c++)
{
Console.Write(theReducedRatio.Num_simplified_factorization[c, 0] + "^" + theReducedRatio.Num_simplified_factorization[c, 1] + " * ");
}
Console.Write("\r\n--------------------------------------------------------\r\n");
for (int c = 0; c < theReducedRatio.Den_simplified_factorization.Length / 2; c++)
{
Console.Write(theReducedRatio.Den_simplified_factorization[c, 0] + "^" + theReducedRatio.Den_simplified_factorization[c, 1] + " * ");
}
Console.WriteLine();
}// end : public void ConsoleTensorPublisher( string message, long[,] SignedArray )
} // end : Prune_and_RationalReduce_test()
/// <summary>
/// perform a single test only, on a factorization provided by the tester-programmer, as a single long[,] tensor.
/// Prune_and_RationalReduce_test() : receive a single long[,] tensor.
/// </summary>
/// <param name="myFactorization"></param>
/// <param name="cardTests"></param>
/// <param name="fixesEpsilon"></param>
/// <param name="verbosity"></param>
public static void Prune_and_RationalReduce_test(long[,] SignedArray, double fixedEpsilon, bool ForceVerbosity)
{
bool mustLog = false;// activated on error or on request.
System.Text.StringBuilder resultLogger = new System.Text.StringBuilder();
resultLogger.Append("\r\n\r\n@@@@@--- start SINGLE test ");
resultLogger.Append(" ----@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@\r\n");
resultLogger.Append("\r\n the provided long[,] tensor is : ");
resultLogger.Append(SignedArray);// present the isolated factorization. ///// TODO
//
// tests on pruning
double totalPrePrune = RealField.TestsOnRationals.mulUp(SignedArray);
resultLogger.Append("\r\n the MonteCarlo extracted stringFactor TOTAL is : ");
resultLogger.Append(totalPrePrune.ToString());
resultLogger.Append("\r\n original input for pruning");
resultLogger.Append(GenericTensor_Publisher_onStringBuilder("the Signed Array : ", SignedArray));
RealField.PruningInstrument thePruner_method = new RealField.PruningInstrument(SignedArray);
RealField.PruningResults prunRes = thePruner_method.Prune();
resultLogger.Append("\r\n the pruned Ratio ");
resultLogger.Append(GenericTensor_Publisher_onStringBuilder("prunRes.tensor_Num ", prunRes.tensor_Num));
resultLogger.Append(GenericTensor_Publisher_onStringBuilder("prunRes.tensor_Den ", prunRes.tensor_Den));
double numPostPrune = RealField.TestsOnRationals.mulUp(prunRes.tensor_Num);
double denPostPrune = RealField.TestsOnRationals.mulUp(prunRes.tensor_Den);
double totalAfterPrune = numPostPrune / denPostPrune;
double AnalyzedObj_Magnitudo = getMagnitudoOrder(totalPrePrune);
double Error_Magnitudo = getMagnitudoOrder(Math.Abs(totalPrePrune - totalAfterPrune));
int figureNonDisponibili = (int)AnalyzedObj_Magnitudo - 15; // figure non rappresentabili, i.e. errore
double curEpsilon = +9.0 * Math.Pow(+10.0, figureNonDisponibili); // la figura sulla quale si manifesta l'errore e' disponibileper tutta la sua magnitudo( i.e. fino al "9").
// log for error on Prune ----------------
resultLogger.Append("\r\n error on Prune : Abs(totalPrePrune - totalAfterPrune)== ");
resultLogger.Append(Math.Abs(totalPrePrune - totalAfterPrune).ToString());
resultLogger.Append("\r\n AnalyzedObj_Magnitudo==");
resultLogger.Append(AnalyzedObj_Magnitudo.ToString());
resultLogger.Append("\r\n Error_Magnitudo==");
resultLogger.Append(Error_Magnitudo.ToString());
resultLogger.Append("\r\n\r\n");
// end : log for error on Prune ----------------
//
if (Math.Abs(totalPrePrune - totalAfterPrune) < curEpsilon)// this is the variable epsilon, related to the magnitudo.
{
//ok
}
else
{
mustLog = true;
}
if (Math.Abs(totalPrePrune - totalAfterPrune) < fixedEpsilon)// this is the FIXED epsilon, a param.
{
//ok
}
else
{
if (ForceVerbosity)
{
mustLog = true;
}
}
// end tests on pruning
//
//-------------
//
// tests on ratioReducing
figureNonDisponibili = 0; // re-init to allow a non-confusing vision in the debugger.
curEpsilon = 0.0; // re-init to allow a non-confusing vision in the debugger.
RealField.RatioReducingInstrument ratioMethod = new RealField.RatioReducingInstrument(prunRes.tensor_Num, prunRes.tensor_Den);
RealField.RatioReducingResults ratioSimplified = ratioMethod.RationalReductionOnOmegaData();
resultLogger.Append(
RealField.TestsOnRationals.ConsoleTensor_Ratio_Publisher_onStringBuilder("\r\n from RatioReduce "
, ratioSimplified)
);
resultLogger.Append(GenericTensor_Publisher_onStringBuilder("ratioSimplified.Num_simplified_factorization ", ratioSimplified.Num_simplified_factorization));
resultLogger.Append(GenericTensor_Publisher_onStringBuilder("ratioSimplified.Den_simplified_factorization ", ratioSimplified.Den_simplified_factorization));
double numPostRationalReduce = RealField.TestsOnRationals.mulUp(ratioSimplified.Num_simplified_factorization);
double denPostRationalReduce = RealField.TestsOnRationals.mulUp(ratioSimplified.Den_simplified_factorization);
double totalAfterRationalReduce = numPostRationalReduce / denPostRationalReduce;
resultLogger.Append("\r\n TOTAL from RatioReduce == ");
resultLogger.Append(totalAfterRationalReduce.ToString());
AnalyzedObj_Magnitudo = getMagnitudoOrder(totalAfterRationalReduce); // NB. I'm reusing variables frome the Prune tests.
Error_Magnitudo = getMagnitudoOrder(Math.Abs(totalPrePrune - totalAfterRationalReduce));
figureNonDisponibili = (int)AnalyzedObj_Magnitudo - 15; // figure non rappresentabili, i.e. errore
curEpsilon = +9.0 * Math.Pow(+10.0, figureNonDisponibili); // la figura sulla quale si manifesta l'errore e' disponibileper tutta la sua magnitudo( i.e. fino al "9").
// log for error on RatioReduce ----------------
resultLogger.Append("\r\n error on RationalReduce : Abs(totalPrePrune - totalAfterRationalReduce)== ");
resultLogger.Append(Math.Abs(totalPrePrune - totalAfterRationalReduce).ToString());
resultLogger.Append("\r\n AnalyzedObj_Magnitudo==");
resultLogger.Append(AnalyzedObj_Magnitudo.ToString());
resultLogger.Append("\r\n Error_Magnitudo==");
resultLogger.Append(Error_Magnitudo.ToString());
resultLogger.Append("\r\n\r\n");
// end : log for error on RatioReduce ----------------
if (Math.Abs(totalPrePrune - totalAfterRationalReduce) < curEpsilon)// variable epsilon==epsilon( magnitude)
{
//ok
}
else
{
mustLog = true;
}
if (Math.Abs(totalPrePrune - totalAfterRationalReduce) < fixedEpsilon)// this is the FIXED epsilon, a param.
{
//ok
}
else
{
if (ForceVerbosity)
{
mustLog = true;
}
}
//
resultLogger.Append("\r\n #####--- end SINGLE test ");
resultLogger.Append(" ----##########################################\r\n\r\n");
//----------------------------------------------------------
if (mustLog)
{
Console.WriteLine(resultLogger.ToString());
} // else skip.
resultLogger = null;// gc
} // end : Prune_and_RationalReduce_test() : receive a single long[,] tensor.
}// end : public void ConsoleTensorPublisher( string message, long[,] SignedArray )
/// <summary>
/// /* NB.
/// * ----- cruscotto Watch : debug watch cockpit for : test Prune_and_RationalReduce_test().
/// *
/// curEpsilon 1000000000.0 double
/// int_curMagnitudo 24 int
/// curMagnitudo 24.0 double
/// totalAfterPrune 7.0708168248286379E+23 double
/// totalAfterRationalReduce 7.0708168248286379E+23 double
/// totalPrePrune 7.0708168248286366E+23 double
/// mustLog true bool
/// */
/// </summary>
/// <param name="cardTests">cardinalita' dei test del batch</param>
/// <param name="fixedEpsilon">l'epsilon prefissato : e' ovvio che ci sia errore su questo, data la variabilita' della magnitudo</param>
/// <param name="ForceVerbosity">se si vuole il log, anche in assenza di errore sul fixed epsilon; se si passa false il log avviene solo su errore sul fixedEpsilon. L'errore sullo epsilon variabile in funz. della magnitudo non si manifesta mai.</param>
public static void Prune_and_RationalReduce_test(int cardTests, double fixedEpsilon, bool ForceVerbosity)
{
//---- test batch ------------------------------------------------------------
for (int accTests = 0; accTests < cardTests; accTests++)
{
bool mustLog = false;// activated on error or on request.
//--------------------------- start : prepare single test inside the batch ---------------------------
System.Text.StringBuilder resultLogger = new System.Text.StringBuilder();
resultLogger.Append("\r\n\r\n@@@@@--- start test nr. ");
resultLogger.Append(accTests.ToString());
resultLogger.Append(" ----@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@\r\n");
int factorCardinality = Common.MonteCarlo.MonteCarlo_threadLocked.next_int(1, 20);
System.Text.StringBuilder sb = new System.Text.StringBuilder();
for (int c = 0; c < factorCardinality; c++)
{
long curBase = PrimesFinder.Primes.readPrimeAtSpecifiedOrdinal(Common.MonteCarlo.MonteCarlo_threadLocked.next_int(1, 10));
int curExp = Common.MonteCarlo.MonteCarlo_threadLocked.next_int(-9, 9);
sb.Append(curBase.ToString());
sb.Append("^");
sb.Append(curExp.ToString());
sb.Append(" * ");
}
sb.Remove(sb.Length - 2, 2); // remove last " * "
string stringFactor = sb.ToString();
sb = null; // gc
resultLogger.Append("\r\n the MonteCarlo extracted stringFactor is : ");
resultLogger.Append(stringFactor);
//--------------------------- end prepare single test inside the batch ---------------------------
//
// tests on pruning
long[,] SignedArray = RealField.TestsOnRationals.fromStringFactoriz_ToTensorFactoriz(stringFactor);
double totalPrePrune = RealField.TestsOnRationals.mulUp(SignedArray);
resultLogger.Append("\r\n the MonteCarlo extracted stringFactor TOTAL is : ");
resultLogger.Append(totalPrePrune.ToString());
resultLogger.Append("\r\n original input for pruning");
resultLogger.Append(GenericTensor_Publisher_onStringBuilder("the Signed Array : ", SignedArray));
RealField.PruningInstrument thePruner_method = new RealField.PruningInstrument(SignedArray);
RealField.PruningResults prunRes = thePruner_method.Prune();
resultLogger.Append("\r\n the pruned Ratio ");
resultLogger.Append(GenericTensor_Publisher_onStringBuilder("prunRes.tensor_Num ", prunRes.tensor_Num));
resultLogger.Append(GenericTensor_Publisher_onStringBuilder("prunRes.tensor_Den ", prunRes.tensor_Den));
double numPostPrune = RealField.TestsOnRationals.mulUp(prunRes.tensor_Num);
double denPostPrune = RealField.TestsOnRationals.mulUp(prunRes.tensor_Den);
double totalAfterPrune = numPostPrune / denPostPrune;
double AnalyzedObj_Magnitudo = getMagnitudoOrder(totalPrePrune);
double Error_Magnitudo = getMagnitudoOrder(Math.Abs(totalPrePrune - totalAfterPrune));
int figureNonDisponibili = (int)AnalyzedObj_Magnitudo - 15; // figure non rappresentabili, i.e. errore
double curEpsilon = +9.0 * Math.Pow(+10.0, figureNonDisponibili); // la figura sulla quale si manifesta l'errore e' disponibileper tutta la sua magnitudo( i.e. fino al "9").
// log for error on Prune ----------------
resultLogger.Append("\r\n error on Prune : Abs(totalPrePrune - totalAfterPrune)== ");
resultLogger.Append(Math.Abs(totalPrePrune - totalAfterPrune).ToString());
resultLogger.Append("\r\n AnalyzedObj_Magnitudo==");
resultLogger.Append(AnalyzedObj_Magnitudo.ToString());
resultLogger.Append("\r\n Error_Magnitudo==");
resultLogger.Append(Error_Magnitudo.ToString());
resultLogger.Append("\r\n\r\n");
// end : log for error on Prune ----------------
//
if (Math.Abs(totalPrePrune - totalAfterPrune) < curEpsilon)// this is the variable epsilon, related to the magnitudo.
{
//ok
}
else
{
mustLog = true;
}
if (Math.Abs(totalPrePrune - totalAfterPrune) < fixedEpsilon)// this is the FIXED epsilon, a param.
{
//ok
}
else
{
if (ForceVerbosity)
{
mustLog = true;
}
}
// end tests on pruning
//
//-------------
//
// tests on ratioReducing
figureNonDisponibili = 0; // re-init to allow a non-confusing vision in the debugger.
curEpsilon = 0.0; // re-init to allow a non-confusing vision in the debugger.
RealField.RatioReducingInstrument ratioMethod = new RealField.RatioReducingInstrument(prunRes.tensor_Num, prunRes.tensor_Den);
RealField.RatioReducingResults ratioSimplified = ratioMethod.RationalReductionOnOmegaData();
resultLogger.Append(
RealField.TestsOnRationals.ConsoleTensor_Ratio_Publisher_onStringBuilder("\r\n from RatioReduce "
, ratioSimplified)
);
resultLogger.Append(GenericTensor_Publisher_onStringBuilder("ratioSimplified.Num_simplified_factorization ", ratioSimplified.Num_simplified_factorization));
resultLogger.Append(GenericTensor_Publisher_onStringBuilder("ratioSimplified.Den_simplified_factorization ", ratioSimplified.Den_simplified_factorization));
double numPostRationalReduce = RealField.TestsOnRationals.mulUp(ratioSimplified.Num_simplified_factorization);
double denPostRationalReduce = RealField.TestsOnRationals.mulUp(ratioSimplified.Den_simplified_factorization);
double totalAfterRationalReduce = numPostRationalReduce / denPostRationalReduce;
resultLogger.Append("\r\n TOTAL from RatioReduce == ");
resultLogger.Append(totalAfterRationalReduce.ToString());
AnalyzedObj_Magnitudo = getMagnitudoOrder(totalAfterRationalReduce); // NB. I'm reusing variables frome the Prune tests.
Error_Magnitudo = getMagnitudoOrder(Math.Abs(totalPrePrune - totalAfterRationalReduce));
figureNonDisponibili = (int)AnalyzedObj_Magnitudo - 15; // figure non rappresentabili, i.e. errore
curEpsilon = +9.0 * Math.Pow(+10.0, figureNonDisponibili); // la figura sulla quale si manifesta l'errore e' disponibileper tutta la sua magnitudo( i.e. fino al "9").
// log for error on RatioReduce ----------------
resultLogger.Append("\r\n error on RationalReduce : Abs(totalPrePrune - totalAfterRationalReduce)== ");
resultLogger.Append(Math.Abs(totalPrePrune - totalAfterRationalReduce).ToString());
resultLogger.Append("\r\n AnalyzedObj_Magnitudo==");
resultLogger.Append(AnalyzedObj_Magnitudo.ToString());
resultLogger.Append("\r\n Error_Magnitudo==");
resultLogger.Append(Error_Magnitudo.ToString());
resultLogger.Append("\r\n\r\n");
// end : log for error on RatioReduce ----------------
if (Math.Abs(totalPrePrune - totalAfterRationalReduce) < curEpsilon)// variable epsilon==epsilon( magnitude)
{
//ok
}
else
{
mustLog = true;
}
if (Math.Abs(totalPrePrune - totalAfterRationalReduce) < fixedEpsilon)// this is the FIXED epsilon, a param.
{
//ok
}
else
{
if (ForceVerbosity)
{
mustLog = true;
}
}
//
resultLogger.Append("\r\n #####--- end test nr. ");
resultLogger.Append(accTests.ToString());
resultLogger.Append(" ----##########################################\r\n\r\n");
//----------------------------------------------------------
if (mustLog)
{
Console.WriteLine(resultLogger.ToString());
}// else skip.
resultLogger = null;// gc
totalPrePrune = totalAfterPrune = totalAfterRationalReduce = 0.0;// reset
} // end for #(tests)
} // end : test Prune_and_RationalReduce_test()
}// end : public void ConsoleTensorPublisher( string message, long[,] SignedArray )
public static string ConsoleTensor_Ratio_Publisher_onStringBuilder(string message, RealField.RatioReducingResults theReducedRatio)
{
System.Text.StringBuilder sb = new System.Text.StringBuilder();
//Console.WriteLine("\r\n follows the Reduced Ratio : " + message);
sb.Append("\r\n follows the Reduced Ratio : ");
sb.Append(message);
// Console output : it's useful to call it once before the sorting and once kust after.
for (int c = 0; c < theReducedRatio.Num_simplified_factorization.Length / 2; c++)
{
//Console.Write(theReducedRatio.Num_simplified_factorization[c, 0] + "^" + theReducedRatio.Num_simplified_factorization[c, 1] + " * ");
sb.Append(theReducedRatio.Num_simplified_factorization[c, 0].ToString());
sb.Append("^");
sb.Append(theReducedRatio.Num_simplified_factorization[c, 1].ToString());
sb.Append(" * ");
}
//Console.Write("\r\n--------------------------------------------------------\r\n");
sb.Append("\r\n--------------------------------------------------------\r\n");
for (int c = 0; c < theReducedRatio.Den_simplified_factorization.Length / 2; c++)
{
//Console.Write(theReducedRatio.Den_simplified_factorization[c, 0] + "^" + theReducedRatio.Den_simplified_factorization[c, 1] + " * ");
sb.Append(theReducedRatio.Den_simplified_factorization[c, 0].ToString());
sb.Append("^");
sb.Append(theReducedRatio.Den_simplified_factorization[c, 1].ToString());
sb.Append(" * ");
}
//Console.WriteLine();
sb.Append("\r\n");
// ready.
return(sb.ToString());
}// end : public void ConsoleTensorPublisher( string message, long[,] SignedArray )