private void checkPassword()
{
if (string.IsNullOrEmpty(txb_newPassword.Text.Trim()) ||
string.IsNullOrEmpty(txb_confirmPassword.Text.Trim()))
{
Tipper.Tip_Info_Error("未正确填写");
return;
}
if (!txb_confirmPassword.Text.Equals(txb_newPassword.Text))
{
Tipper.Tip_Info_Error("两次输入密码不一致");
return;
}
else
{
R.CompactDB.Write("Administrator", this.txb_newPassword.Text.Trim());
if (R.CompactDB.Status)
{
Tipper.Tip_Info_Done("密码设置成功");
}
else
{
Tipper.Tip_Info_Error("密码设置失败");
return;
}
R.CompactDB.Status = true;
this.Close();
}
}
private void btn_Register_Click(object sender, EventArgs e)
{
if (string.IsNullOrEmpty(edt_UserName.Text.Trim()) ||
string.IsNullOrEmpty(edt_Password.Text.Trim()))
{
Tipper.Tip_Info_Error("未正确填写");
return;
}
checkAdminPwdExist();
AdiministratorForm frm = new AdiministratorForm();
frm.ShowDialog();
if (frm.bAdmin)
{
RegisterUser();
Tipper.Tip_Info_Done("已成功注册！");
}
else
{
Tipper.Tip_Info_Error("注册失败！");
}
frm.Close();
frm.Dispose();
this.Close();
}
private static void WriteTipper(StreamWriter sw, Tipper tipper)
{
Action <Complex> write = (c)
=> sw.Write("{0} {1} ",
c.Real.ToString("E").PadLeft(14, ' '),
c.Imaginary.ToString("E").PadLeft(14, ' '));
write(tipper.Zx);
write(tipper.Zy);
}
public void ShouldCalculateTipAmount(decimal checkAmount, decimal expected)
{
// Arrange
Tipper tipper = new Tipper();
// Act
decimal actual = tipper.CalculateTip(checkAmount);
// Assert
Assert.Equal(expected, actual);
}
void RegisterUser()
{
R.CompactDB.TargetTable = "User_Key";
R.CompactDB.Write(this.edt_UserName.Text.Trim(),
edt_Password.Text.Trim());
R.CompactDB.TargetTable = R.CompactDB.DefaultTable;
if (!R.CompactDB.Status)
{
Tipper.Tip_Info_Error("内部异常！");
}
R.CompactDB.Status = true;
}
void checkAdminPwdExist()
{
String strAdmin = R.CompactDB.FetchValue("Administrator");
if (strAdmin == "0")
{
Tipper.Tip_Info_Ask("是否未设置管理员密码？");
SetPasswordForm fs = new SetPasswordForm();
this.Hide();
fs.ShowDialog();
}
}
private static void RunOptimizer()
{
Console.WriteLine("Start");
Console.WriteLine("Creating Tipper...");
var tipper = new Tipper();
Console.WriteLine("Creating Optimizer...");
var optimizer = new Optimizer();
var output = "";
optimizer.LowerLimitLayers = 1;
optimizer.UpperLimitLayers = 1;
optimizer.LowerLimitNeuronsInLayer = 3;
optimizer.UpperLimitNeuronsInLayer = 3;
optimizer.LowerLimitEpochs = 250;
optimizer.UpperLimitEpochs = 1250;
optimizer.EpochsStep = 500;
optimizer.TrainingTestingDataDelineationCallbacks = new List <Func <Data, Tuple <Data, Data> > >()
{
OneYearAgoTenYearsTrained,
TwoYearAgoTenYearsTrained,
ThreeYearAgoTenYearsTrained,
FourYearAgoTenYearsTrained
};
Console.WriteLine("Loading data...");
var data = tipper.GetMatchDataFromLeagueBetween(new RoundShell(2005, 0, false), new RoundShell(2019, 0, false));
var count = 0;
foreach (var dataPoint in data.DataPoints)
{
foreach (var input in dataPoint.Inputs)
{
if (input < 0.0001)
{
count++;
}
}
}
Console.WriteLine("Zeros: {0}", count);
Console.WriteLine("Optimizing...");
output = optimizer.Optimize(data, UIHelpers.SuccessConditionTotal, UIHelpers.Deconvert);
Console.WriteLine(output);
}
void CheckLogIn()
{
if (string.IsNullOrEmpty(edt_UserName.Text.Trim()) ||
string.IsNullOrEmpty(edt_Password.Text.Trim())
)
{
Tipper.Tip_Info_Error("未完整填写");
}
else
{
R.CompactDB.TargetTable = "User_Key";
String strPassword =
R.CompactDB.FetchValue(this.edt_UserName.Text.Trim());
R.CompactDB.TargetTable = R.CompactDB.DefaultTable;
if (!R.CompactDB.Status)
{
Tipper.Tip_Info_Error("不存在此用户名！");
}
R.CompactDB.Status = true;
if (strPassword != null)
{
if (strPassword != this.edt_Password.Text.Trim())
{
Tipper.Tip_Info_Error("密码错误！");
}
else
{
R.Pipe.Info("用户： " + this.edt_UserName.Text + "已经登录。");
bCloseWindow = true;
this.edt_Password.Text = null;
this.Close();
}
}
}
}
private static void RunMetaOptimizer()
{
Console.WriteLine("Start");
Console.WriteLine("Creating Tipper...");
var tipper = new Tipper();
Console.WriteLine("Creating Optimizer...");
var optimizer = new Optimizer();
var output = "";
optimizer.LowerLimitLayers = 1;
optimizer.UpperLimitLayers = 1;
optimizer.LowerLimitNeuronsInLayer = 3;
optimizer.UpperLimitNeuronsInLayer = 3;
optimizer.LowerLimitEpochs = 750;
optimizer.UpperLimitEpochs = 750;
optimizer.EpochsStep = 500;
optimizer.TrainingTestingDataDelineationCallbacks = new List <Func <Data, Tuple <Data, Data> > >()
{
OneYearAgoTenYearsTrained,
TwoYearAgoTenYearsTrained,
ThreeYearAgoTenYearsTrained,
FourYearAgoTenYearsTrained
};
Console.WriteLine("Optimizing...");
var optimizationDataSetOne = new List <List <int> >
{
new List <int> {
0
},
new List <int> {
1
},
new List <int> {
5
},
new List <int> {
21
}
};
var optimizationDataSetTwo = new List <List <int> >
{
new List <int> {
0
},
new List <int> {
1
},
new List <int> {
5
},
new List <int> {
21
}
};
var optimizationDataSetThree = new List <List <int> >
{
new List <int> {
0
},
new List <int> {
1
},
new List <int> {
5
},
new List <int> {
21
}
};
var optimizationDataSetFour = new List <List <int> >
{
new List <int> {
0
},
new List <int> {
1
},
new List <int> {
5
},
new List <int> {
21
}
};
var optimizationDataSetFive = new List <List <int> >
{
new List <int> {
0
},
new List <int> {
1
},
new List <int> {
5
},
new List <int> {
21
}
};
foreach (var one in optimizationDataSetOne)
{
foreach (var two in optimizationDataSetTwo)
{
foreach (var three in optimizationDataSetThree)
{
foreach (var four in optimizationDataSetFour)
{
foreach (var five in optimizationDataSetFive)
{
var interpretation = new DataInterpretation(
new List <DataInterpretationRule>
{
new DataInterpretationRule(DataInterpretationRuleType.SCORES_BY_TEAM, one),
new DataInterpretationRule(DataInterpretationRuleType.SCORES_BY_GROUND, two),
new DataInterpretationRule(DataInterpretationRuleType.SCORES_BY_STATE, three),
new DataInterpretationRule(DataInterpretationRuleType.SCORES_BY_DAY, four),
new DataInterpretationRule(DataInterpretationRuleType.SCORES_BY_SHARED_OPPONENTS, five)
});
if (interpretation.Rules.Sum(i => i.Periods.Sum()) > 0)
{
Console.WriteLine("Loading data...");
var data = tipper.GetMatchDataFromLeagueBetween(new RoundShell(2003, 0, false), new RoundShell(2019, 0, false), interpretation);
Console.WriteLine("Optimizing...{0}-{1}-{2}-{3}-{4}", one[0], two[0], three[0],
four[0],
five[0]);
optimizer.Optimize(data, UIHelpers.SuccessConditionTotal, UIHelpers.Deconvert);
}
}
}
}
}
}
//0- 0-21-21-21- 1 gives 2018 =74%
//1- 0- 0- 1-21- 1 gives 2018 =66%
//1- 0- 0- 0-21- 1 gives 2018 =66%
#endregion
}
