private static Ages CalcAge(DateTime dteBirth, out int intAge)
{
Ages age = Ages.Year;
intAge = 0;
com.digitalwave.iCare.middletier.HIS.clsOPDoctorPlanSvc objSvc =
(com.digitalwave.iCare.middletier.HIS.clsOPDoctorPlanSvc)com.digitalwave.iCare.common.clsObjectGenerator.objCreatorObjectByType(typeof(com.digitalwave.iCare.middletier.HIS.clsOPDoctorPlanSvc));
DateTime dteNow = DateTime.Now;
int intYear = dteBirth.Year;
int intMonth = dteBirth.Month;
int intDay = dteBirth.Day;
if ((dteNow.Year - intYear) > 0)
{
intAge = dteNow.Year - intYear;
age = Ages.Year;
}
else if ((dteNow.Month - intMonth) > 0)
{
intAge = dteNow.Month - intMonth;
age = Ages.Month;
}
else
{
intAge = dteNow.Day - intDay;
age = Ages.Day;
}
return(age);
}
public AgeResponse CreateAgeResponse(List <AgeEN> pAges)
{
AgeResponse response = new AgeResponse();
Ages ages = new Ages();
ages.agesListModel = new List <AgesListModel>();
foreach (var agesListModel in pAges)
{
AgesListModel _agesListModel = new AgesListModel();
_agesListModel.ageID = agesListModel.AgeID;
_agesListModel.name = agesListModel.Name;
_agesListModel.status = agesListModel.Status;
_agesListModel.iconImage = agesListModel.IconImage;
_agesListModel.mainImage = agesListModel.MainImage;
ages.agesListModel.Add(_agesListModel);
}
response.ages = ages;
response.count = ages.agesListModel.Count;
return(response);
}
static void Main(string[] args)
{
//var adding = true;
while (true)
{
Ages newAge = new Ages();
Console.WriteLine("How old are you?");
newAge.Age = (int.Parse(Console.ReadLine()));
if (newAge.Age < 18)
{
throw new ArithmeticException("Access denied - You must be at least 18 years old.");
//adding = false;
break;
}
else
{
Console.WriteLine("Access granted - You are old enough!");
//adding = false
break;
}
}
}
public IEnumerable <RuminantTypeCohort> GetCohorts(RuminantInitialCohorts initials)
{
List <RuminantTypeCohort> list = new List <RuminantTypeCohort>();
int index = Breeds.IndexOf((initials.Parent as RuminantType).Breed);
var cohorts = GetElementNames(Numbers).Skip(1);
foreach (string cohort in cohorts)
{
double num = GetValue <double>(Numbers.Element(cohort), index);
if (num <= 0)
{
continue;
}
list.Add(new RuminantTypeCohort(initials)
{
Name = cohort,
Number = num,
Age = GetValue <int>(Ages.Element(cohort), index),
Weight = GetValue <double>(Weights.Element(cohort), index),
Gender = cohort.Contains("F") ? 1 : 0,
Suckling = cohort.Contains("Calf") ? true : false,
Sire = cohort.Contains("ire") ? true : false
});
}
return(list.AsEnumerable());
}
private void lstPersons_SelectionChanged(object sender, SelectionChangedEventArgs e)
{
ClearControls();
if (lstPersons.SelectedItem != null)
{
Person person = (Person)lstPersons.SelectedItem;
txtName.Text = person.Name;
txtFirstname.Text = person.Firstname;
//lblAge.Content = person.GetAge();
lblAge.Content = Ages.AgeInYearsMonthDays(person.DayOfBirth);
dtpDayOfBirth.SelectedDate = person.DayOfBirth;
if (person.Gender == 'M')
{
rdbMale.IsChecked = true;
}
else if (person.Gender == 'F')
{
rdbFemale.IsChecked = true;
}
else
{
rdbUnkown.IsChecked = true;
}
lblWeight.Content = person.Weight + " kg";
}
}
public RegistrationViewModel(ApplicationManager appManager)
{
_appManager = appManager;
_countriesRepository = new CountriesRepository();
SelectedCountry = Countries.First();
SelectedSex = Sexes.First();
SelectedAge = Ages.First();
}
private void Test_PolynomialGA(Func <double, double> func)
{
int polynomialOrder = 5;
int populationSize = 500;
int sampleCount = 100;
int genCount = 5000;
Random rng = new Random(0);
var pop = Enumerable
.Range(0, populationSize)
.Select(i => new CartesianIndividual(polynomialOrder, rng))
.Cast <IIndividual>()
.ToList();
double[] xRange = Enumerable
.Range(0, sampleCount)
.Select(i => (double)i / 100)
.ToArray();
double[][] allPowsOfX = new double[sampleCount][];
for (int i = 0; i < allPowsOfX.Length; ++i)
{
allPowsOfX[i] = new double[polynomialOrder];
double powX = 1;
for (int j = 0; j < allPowsOfX[i].Length; ++j)
{
allPowsOfX[i][j] = powX;
powX *= xRange[i];
}
}
double[] expectedValues = xRange
.Select(i => func(i))
.ToArray();
Utils.SetRandomSeed(0);
var ages = new Ages(genCount,
new Evaluate((i) => ((CartesianIndividual)i).PolynomialEval(allPowsOfX, expectedValues)),
CartesianIndividual.CrossOver,
new Generate((r) => new CartesianIndividual(polynomialOrder, r)),
pop);
ages.NicheStrat = new NicheDensityStrategy(
ages,
(l, r) => CartesianIndividual.Distance((CartesianIndividual)l, (CartesianIndividual)r));
ages.GoThroughGenerations();
for (int i = 0; i < 4; ++i)
{
int ix = (ages.Champions.Count / 4) * i;
Log.Info(ages.Champions[ix]);
}
Log.Info(ages.Champions.Last());
}
private void SearchJobs()
{
DataTable dataTable = GetResumes(ddlCertificate.SelectedValue, dllSalarylevel.SelectedValue, ddlLocation.SelectedValue,
ddlCatelogy.SelectedValue, dllJobPosition.SelectedValue, ddlExperienceLevel.SelectedValue,
ddlWorktype.SelectedValue, "0", ddlLangSkill.SelectedValue, ddlSex.SelectedValue);
var fromyear = Convert.ToInt32(DateTime.Now.Year) - Convert.ToInt32(txtToAge.Text);
var toyear = Convert.ToInt32(DateTime.Now.Year - Convert.ToInt32(txtFromAge.Text));
Session["SearchResult"] = dataTable;
Session["Ages"] = new Ages(fromyear, toyear);
}
static void Main(string[] args)
{
var pop = new List <IIndividual>(32);
Console.WriteLine("Read from file individuals?(y/n)");
var yayornay = Console.ReadLine();
if (yayornay == "y")
{
Console.WriteLine("File path");
var path = Console.ReadLine();
string [] strArr = null;
try{
strArr = File.ReadAllLines(path);
}
catch (Exception e)
{
Console.WriteLine(e.Message);
Console.ReadKey(false);
Environment.Exit(1);
}
foreach (var str in strArr)
{
Console.WriteLine("Read " + str);
if (str.Trim() == string.Empty)
{
continue;
}
pop.Add(new GotchaIndividual(str));
}
}
else
{
Console.WriteLine("Creating individuals");
for (var ii = 0; ii < 32; ++ii)
{
pop.Add(new GotchaIndividual());
}
}
Ages myGA = new Ages(
1000,
new CompareEvaluate(Evaluate),
GotchaIndividual.GarboCrossoverOperator,
(r) => new GotchaIndividual(),
pop);
myGA.SetRandomSeed(0);
myGA.GoThroughGenerations();
Console.ReadKey();
}
public void AgeTest()
{
var dat = A.Fake <DateTimeProvider>();
A.CallTo(() => dat.Now).Returns(new DateTime(2001, 1, 1));
var age = new Ages(new DateTime(2000, 1, 1));
var age1 = A.Fake <Ages>();
A.CallToSet(() => age1.SetDT).Returns(new DateTime(2001, 1, 1));
var age2 = A.Dummy <Ages>();
Assert.AreEqual(1, age.age);
}
/// <summary>
/// Try to find the next age for a given age. Return false if there is no next age
/// (in which case, the Hybrasyl year simply increments without end)
/// </summary>
/// <param name="age"></param>
/// <param name="nextAge"></param>
/// <returns></returns>
public bool TryGetNextAge(HybrasylAge age, out HybrasylAge nextAge)
{
nextAge = null;
if (Ages.Count == 1)
{
return(false);
}
// Find the age of the day after the start date. This (again) assumes the
// user hasn't done something doltish like having non-contiguous ages
var after = age.StartDate + new TimeSpan(1, 0, 0, 0);
nextAge = Ages.FirstOrDefault(a => a.DateInAge(after));
return(nextAge != null);
}
/// <summary>
/// Try to find the previous age for a given age. Return false if there is no previous age
/// (in which case, a Hybrasyl date before the beginning of the age is simply a negative year)
/// </summary>
/// <param name="age"></param>
/// <param name="previousAge"></param>
/// <returns></returns>
public bool TryGetPreviousAge(HybrasylAge age, out HybrasylAge previousAge)
{
previousAge = null;
if (Ages.Count == 1)
{
return(false);
}
// Find the age of the day before the start date. This assumes the
// user hasn't done something doltish like having non-contiguous ages
var before = age.StartDate - new TimeSpan(1, 0, 0, 0);
previousAge = Ages.FirstOrDefault(a => a.DateInAge(before));
return(previousAge != null);
}
public HybrasylAge GetAgeFromTerranDatetime(DateTime datetime)
{
if (Ages.Count == 0)
{
return(DefaultAge);
}
else if (Ages.Count == 1)
{
return(Ages.First());
}
else
{
return(Ages.First(a => a.DateInAge(datetime)));
}
}
public void Dropdown_IndexChanged(int index)
{
Ages name = (Ages)index;
YearsSelected.text = name.ToString();
ResponseAge = YearsSelected.text;
ExportQ.SetAge(ResponseAge);
if (index == 0)
{
YearsSelected.color = Color.red;
}
else
{
YearsSelected.color = Color.white;
}
}
public ViewResult StartPage(Ages ag)
{
if (ModelState.IsValid)
{
ag.dt = DateTime.Now;
ag.left = ag.RetireAge - ag.Age;
ag.dt2 = ag.dt.AddYears(ag.left);
return(View("Next", ag));
}
else
{
return(View());
}
}
public NicheDensityStrategy(Ages parent, Distance distance, bool keepHistory = true)
{
_distance = distance;
_parent = parent;
_RadiusAdjustPower =
Math.Log(_RadiusAdjustMaxFactor * _RadiusAdjustMaxFactor)
/ Math.Log(_parent.EliminateIndexBegin);
_RadiusAdjustMinFactor = 1 / _RadiusAdjustMaxFactor;
NicheRadius = 1;
NichePenaltyFactor = 0.0010;
KeepHistory = keepHistory;
if (KeepHistory)
{
_Generation = 0;
_HistoryRadius = new List <double>();
_HistoryNicheCount = new List <double>();
_HistoryNicheAverageDensity = new List <double>();
_HistoryNicheStandardDeviation = new List <double>();
}
}
private async void SendCommandTapped(object obj)
{
try
{
if (!IsBusy)
{
IsBusy = true;
bool result = await _pushService.SendPushNotifications(new PushMessageDto
{
Ages = Ages.Where(x => x.Selected).Select(x => x.Value).ToList(),
Image = Image,
Genders = Genders.Where(x => x.Selected).Select(x => x.Value).ToList(),
Date = DateTime.Now,
Description = Message,
SelectRandom = Random,
Tag = Tags.Where(x => x.Selected).Select(x => x.Value).ToList(),
Title = $"Notificación enviada por {_userService.GetLastUser().Username}"
});
if (result)
{
Clean();
}
else
{
await _dialogService.DisplayAlertAsync("Error", "No se pudo enviar la notificación", "Cerrar");
}
}
}
catch (Exception e)
{
await _dialogService.DisplayAlertAsync("Error", e.Message, "Cerrar");
}
finally
{
IsBusy = false;
}
}
/// <summary>
/// 计算年龄
/// </summary>
/// <param name="dteBirth">出生日期</param>
/// <returns></returns>
private static string CalcAge(DateTime dteBirth)
{
int intAge = 0;
string strAge = "";
Ages age = Ages.Year;
age = CalcAge(dteBirth, out intAge);
switch (age)
{
case Ages.Year:
strAge = intAge.ToString();
break;
case Ages.Month:
strAge = intAge.ToString() + "个月";
break;
case Ages.Day:
strAge = intAge.ToString() + "天";
break;
}
return(strAge);
}
public int GetTotalSubmissions()
{
return(Ages.Count());
}
public double GetAverageAge()
{
return(Ages.Average());
}
private void Test_PolynomialGA(Func <double, double> func)
{
//Settings
bool adaptive = false;
int seed = 0;
Utils.SetRandomSeed(seed);
var rng = new Random(seed);
PolynomialOrder = 5;
int populationSize = 100;
//number of samples to use the in the polynomial approx
// to test the differnce
double start = -10, end = 10;
//Step between the samples
double step = 0.02;
//Number of generations to bundle
int genBundleCount = 10;
//Stop at Gen
GenerationStop = 500;
//Get Data for tests
double[] xRange, expectedValues;
GetFofXForRange(func, start, step, end, out xRange, out expectedValues);
double[][] allPowsOfX = GetPowersOfX(xRange, PolynomialOrder);
ExpectedValsX = xRange;
ExpectedValsY = expectedValues;
PowsOfXForAllX = allPowsOfX;
//Create Delegates
Evaluate eval = (i) =>
((CartesianIndividual)i).PolynomialEval(allPowsOfX, expectedValues);
CrossOver crossOver = adaptive
? AdaptiveCartesianIndividual.CrossOver
: (CrossOver)CartesianIndividual.CrossOver;
Generate generate = adaptive
? (Generate)((r) => new AdaptiveCartesianIndividual(PolynomialOrder, 1, r: r, emptySigma: true))
: (r) => new CartesianIndividual(PolynomialOrder, 1, r);
// Generate Population
List <IIndividual> pop;
pop = Enumerable
.Range(0, populationSize)
.Select(i => generate(rng))
.Cast <IIndividual>()
.ToList();
Ages = new Ages(genBundleCount,
eval,
crossOver,
generate,
pop);
Ages.SetRandomSeed(seed);
Ages.NicheStrat = new NicheDensityStrategy(
Ages,
(l, r) => CartesianIndividual.Distance((CartesianIndividual)l, (CartesianIndividual)r));
}
public Ages.EvaluatedIndividual Generation()
{
Ages.GoThroughGenerations();
Ages.EvaluatedIndividual champ = Ages.Champions.Last();
return(champ);
}
