private void button1_Click(object sender, EventArgs e)
{
Results.Clear();
int stalls = sim.TB.stalls;
Results.AppendText("Type of Cache used:\tTWO BIT BRANCH PREDICTOR");
Results.AppendText(Environment.NewLine);
Results.AppendText(sim.TB.stallstring);
Results.AppendText(Environment.NewLine + Environment.NewLine);
Results.AppendText("Stalls due to mispredicted branch instructions: \t" + stalls);
Results.AppendText(Environment.NewLine + "Cost in Cycles:\t" + stalls / 2);
Results.AppendText(Environment.NewLine + "Cost in Nano Seconds:\t" + (stalls / 2) * 9);
}
private void Search2_Click(object sender, EventArgs e)
{
connection.Open();
string phone = TxtPrphone.Text;
cmd = new SqlCommand("select * From Provider where Phone = '" + phone + "' ", connection);
All_Data = cmd.ExecuteReader();
while (All_Data.Read())
{
Results.AppendText("Provider Name : " + All_Data["Pr_Name"].ToString() + Environment.NewLine);
Results.AppendText("Provider Number : " + All_Data["Pr_Num"].ToString() + Environment.NewLine);
Results.AppendText("Provider Phone : " + All_Data["Phone"].ToString() + Environment.NewLine);
Results.AppendText("Provider Mail : " + All_Data["Mail"].ToString() + Environment.NewLine);
}
All_Data.Close();
connection.Close();
}
private void mainBtn(object sender, EventArgs e)
{
Results.Clear();
Results.AppendText("Pipelined processor design");
Results.AppendText(Environment.NewLine);
Results.AppendText("Clock Period = 9 nano seconds");
Results.AppendText(Environment.NewLine);
Results.AppendText("Total cycles to sort the number set: " + sim.TotalCycles);
Results.AppendText(Environment.NewLine);
Results.AppendText("Cycles due to mispredicted branch instructions: " + (sim.TB.stalls / 2));
Results.AppendText(Environment.NewLine);
Results.AppendText("Total time to finish the sort: " + sim.TimeSpan + " nano seconds");
Results.AppendText(Environment.NewLine);
Results.AppendText("CPI:\t" + sim.CPI);
Results.AppendText(Environment.NewLine);
}
private void Search_Click(object sender, EventArgs e)
{
connection.Open();
string SSN = TxtEmpSSN.Text;
cmd = new SqlCommand("select * From Employee where SSN = " + Convert.ToInt32(SSN) + " ", connection);
All_Data = cmd.ExecuteReader();
while (All_Data.Read())
{
Results.AppendText("Employee SSN : " + All_Data["SSN"].ToString() + Environment.NewLine);
Results.AppendText("Employee Name : " + All_Data["E_Name"].ToString() + Environment.NewLine);
Results.AppendText("Employee Gender : " + All_Data["Gender"].ToString() + Environment.NewLine);
Results.AppendText("Employee Birth Date : " + All_Data["B_Date"].ToString() + Environment.NewLine);
Results.AppendText("Employee Phone : " + All_Data["Phone_num"].ToString() + Environment.NewLine);
Results.AppendText("Employee Mail : " + All_Data["mail"].ToString() + Environment.NewLine);
Results.AppendText("Employee Address : " + All_Data["Address"].ToString() + Environment.NewLine);
Results.AppendText("Employee Job Title : " + All_Data["Job_Title"].ToString() + Environment.NewLine);
Results.AppendText("Employee Branch Number : " + All_Data["Br_num"].ToString() + Environment.NewLine);
Results.AppendText("Employee Salary : " + All_Data["Salary"].ToString() + Environment.NewLine);
}
All_Data.Close();
connection.Close();
}
private async void Process_Click(object sender, EventArgs e)
{
// Enable Buttons
Process.Enabled = false;
// Variables
int SentimentID = 1;
int SentenceID = 1;
int KeyPhraseID = 1;
int FileTotalLines = 0;
int ProcessTotalErrors = 0;
int ProgressIncAmt = 0;
string InputFileTextLine;
string[] InputFileSentences;
string JSONCallString = "";
string JSONCallResponse = "";
string ResultLine;
string ResultScore;
string ResultKeyPhrases;
string ResultKeyPhrasesListSring;
string ResultErrors;
string ResultErrorsListString;
string strnow = DateTime.Now.ToString("yyyyMMddHHmmss");
string FileLine;
string FileName_Sentiment = OutputFile.Text + "\\AzureTextAPI_SentimentText_" + strnow + ".txt";
string FileName_Phrases = OutputFile.Text + "\\AzureTextAPI_KeyPhrasesText_" + strnow + ".txt";
string FileName_Sentence = OutputFile.Text + "\\AzureTextAPI_SentenceText_" + strnow + ".txt";
List <string> ResultErrorsList;
List <string> ResultKeyPhrasesList;
JObject JSONObject;
byte[] byteData;
// Clear Text Box
Results.Text = "";
// Set progress to 0%
ProgressBar.Value = 0;
PctComplete.Text = ProgressBar.Value.ToString() + "%";
Results.AppendText("Process Starting." + Environment.NewLine);
Results.AppendText(Environment.NewLine);
try
{
// Read Source file and get max lines
System.IO.StreamReader file = new System.IO.StreamReader(SourceFile.Text);
FileTotalLines = System.IO.File.ReadLines(SourceFile.Text).Count();
// Set Progress Bar
ProgressIncAmt = 100 / (FileTotalLines + 2);
// Create 3x New Output Files and Write File Headers
System.IO.StreamWriter streamWriter_Sentiment = new System.IO.StreamWriter(FileName_Sentiment);
System.IO.StreamWriter streamWriter_Phrases = new System.IO.StreamWriter(FileName_Phrases);
System.IO.StreamWriter streamWriter_Sentence = new System.IO.StreamWriter(FileName_Sentence);
FileLine = "SentimentTextID" + "\t" + "SentimentTextLine" + "\t" + "SentimentTextScore";
streamWriter_Sentiment.WriteLine(FileLine);
FileLine = "SentimentTextID" + "\t" + "SentenceTextID" + "\t" + "SentenceTextLine" + "\t" + "SentenceTextScore";
streamWriter_Sentence.WriteLine(FileLine);
FileLine = "SentimentTextID" + "\t" + "KeyPhraseTextID" + "\t" + "KeyPhraseTextLine";
streamWriter_Phrases.WriteLine(FileLine);
////////// START SENTIMENT PROCESS //////////
Results.AppendText("Using Azure Cognitive API [" + TextAPIBaseURL.Text + TextAPIVersion.Text + "]." + Environment.NewLine);
Results.AppendText(Environment.NewLine);
ProgressBar.Value = ProgressBar.Value + ProgressIncAmt;
PctComplete.Text = ProgressBar.Value.ToString() + "%";
using (var client = new HttpClient())
{
client.BaseAddress = new Uri(TextAPIBaseURL.Text);
// API Request Headers
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", APIKey.Text);
client.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
// Display process line by line
while ((InputFileTextLine = file.ReadLine()) != null)
{
// Remove double blanks, trim end of line
if (cbTrim.Checked == true)
{
InputFileTextLine = InputFileTextLine.Replace(" ", " ");
InputFileTextLine = InputFileTextLine.Trim();
}
// Replace TABS in Parse Text
if (cbReplaceTab.Checked == true)
{
if (cbTAB.SelectedIndex == 0)
{
InputFileTextLine = InputFileTextLine.Replace("\t", " ");
}
if (cbTAB.SelectedIndex == 1)
{
InputFileTextLine = InputFileTextLine.Replace("\t", ", ");
}
}
// Remove Hastags
if (cbHashtag.Checked == true)
{
InputFileTextLine = Regex.Replace(InputFileTextLine, @"#\S+ *", string.Empty);
}
// Remove URLs
if (cbURL.Checked == true)
{
InputFileTextLine = Regex.Replace(InputFileTextLine, @"((([A-Za-z]{3,9}:(?:\/\/)?)(?:[-;:&=\+\$,\w]+@)?[A-Za-z0-9.-]+|(?:www.|[-;:&=\+\$,\w]+@)[A-Za-z0-9.-]+)((?:\/[\+~%\/.\w-_]*)?\??(?:[-\+=&;%@.\w_]*)#?(?:[\w]*))?)", string.Empty);
}
// Truncate Text to 10K (maximum document size for TEXT API)
if (cb1500.Checked == true)
{
//Console.WriteLine(System.Text.ASCIIEncoding.Unicode.GetByteCount(InputFileTextLine)); // <-- For debugging use.
if (System.Text.ASCIIEncoding.Unicode.GetByteCount(InputFileTextLine) > 10000)
{
InputFileTextLine = Truncate(InputFileTextLine, 10000);
}
}
ResultLine = "Reading File Text Line [ID: " + SentimentID + "]: " + InputFileTextLine;
Results.AppendText(ResultLine + Environment.NewLine);
if (InputFileTextLine.Trim() != "") // not a blank line
{
// Define Base JSON Call Request body used for both Sentiment and Key Phrases
JSONCallString = "{\"documents\":[{\"id\":\"" + SentimentID + "\",\"text\":\"" + InputFileTextLine.Replace("\"", "") + "\"}]}";
byteData = Encoding.UTF8.GetBytes(JSONCallString);
// KEY PHRASES
if (rbKeyPhrases.Checked == true)
{
ResultLine = "Detecting Text Line Key Phrases...";
Results.AppendText(ResultLine + Environment.NewLine);
JSONCallResponse = await CallEndpoint(client, TextAPIBaseURL.Text + TextAPIVersion.Text + "keyPhrases", byteData);
JSONObject = JObject.Parse(JSONCallResponse);
ResultErrors = (JSONObject["errors"]).ToString();
ResultErrorsList = JsonConvert.DeserializeObject <List <string> >(ResultErrors);
ResultErrorsListString = string.Join(", ", ResultErrorsList.ToArray());
if (ResultErrorsListString != "")
{
ResultLine = "### ERROR ### [" + ResultErrorsListString + "]";
Results.AppendText(ResultLine + Environment.NewLine);
KeyPhraseID++;
ProcessTotalErrors++;
}
else
{
ResultKeyPhrases = (JSONObject["documents"][0]["keyPhrases"]).ToString();
ResultKeyPhrasesList = JsonConvert.DeserializeObject <List <string> >(ResultKeyPhrases);
ResultKeyPhrasesListSring = string.Join(", ", ResultKeyPhrasesList.ToArray());
foreach (var ListItem in ResultKeyPhrasesList)
{
KeyPhraseID++;
//Write to File
FileLine = SentimentID.ToString() + "\t" + KeyPhraseID.ToString() + "\t" + ListItem;
streamWriter_Phrases.WriteLine(FileLine);
}
ResultLine = "Key Phrases [" + ResultKeyPhrasesListSring + "]";
Results.AppendText(ResultLine + Environment.NewLine);
}
}
// SENTIMENT - FULL TEXT
if (rbSentiment.Checked == true)
{
ResultLine = "Detecting Text Line Sentiment...";
Results.AppendText(ResultLine + Environment.NewLine);
JSONCallResponse = await CallEndpoint(client, TextAPIBaseURL.Text + TextAPIVersion.Text + "sentiment", byteData);
JSONObject = JObject.Parse(JSONCallResponse);
ResultErrors = (JSONObject["errors"]).ToString();
ResultErrorsList = JsonConvert.DeserializeObject <List <string> >(ResultErrors);
ResultErrorsListString = string.Join(", ", ResultErrorsList.ToArray());
if (ResultErrorsListString != "")
{
ResultLine = "### ERROR ### [" + ResultErrorsListString + "]";
Results.AppendText(ResultLine + Environment.NewLine);
ProcessTotalErrors++;
}
else
{
ResultScore = JSONObject["documents"][0]["score"].ToString();
ResultLine = "Sentiment [" + ResultScore + "]";
Results.AppendText(ResultLine + Environment.NewLine);
//Write to File
FileLine = SentimentID.ToString() + "\t" + InputFileTextLine + "\t" + ResultScore;
streamWriter_Sentiment.WriteLine(FileLine);
}
// Split into Sentences
if (cbSplit.Checked == true)
{
ResultLine = "Splitting Text Line into Sentences ...";
Results.AppendText(ResultLine + Environment.NewLine);
InputFileSentences = Regex.Split(InputFileTextLine, @"(?<=[\w\s](?:[\.\!\? ]+[\x20]*[\x22\xBB]*))(?:\s+(?))");
foreach (var Sentence in InputFileSentences)
{
ResultLine = "Reading Sentence Text Line [ID: " + SentimentID + "." + SentenceID + "]: " + Sentence;
Results.AppendText(ResultLine + Environment.NewLine);
// Define JSON Call Request body
JSONCallString = "{\"documents\":[{\"id\":\"" + SentimentID + "\",\"text\":\"" + Sentence.Replace("\"", "") + "\"}]}";
byteData = Encoding.UTF8.GetBytes(JSONCallString);
// SENTIMENT - SENTENCE TEXT
ResultLine = "Detecting Sentiment in Sentence...";
Results.AppendText(ResultLine + Environment.NewLine);
JSONCallResponse = await CallEndpoint(client, TextAPIBaseURL.Text + TextAPIVersion.Text + "sentiment", byteData);
JSONObject = JObject.Parse(JSONCallResponse);
ResultErrors = (JSONObject["errors"]).ToString();
ResultErrorsList = JsonConvert.DeserializeObject <List <string> >(ResultErrors);
ResultErrorsListString = string.Join(", ", ResultErrorsList.ToArray());
if (ResultErrorsListString != "")
{
ResultLine = "### ERROR ### [" + ResultErrorsListString + "]";
Results.AppendText(ResultLine + Environment.NewLine);
ProcessTotalErrors++;
}
else
{
ResultScore = JSONObject["documents"][0]["score"].ToString();
ResultLine = "Sentence Sentiment [" + ResultScore + "]";
Results.AppendText(ResultLine + Environment.NewLine);
//Write to File
FileLine = SentimentID.ToString() + "\t" + SentenceID.ToString() + "\t" + Sentence + "\t" + ResultScore;
streamWriter_Sentence.WriteLine(FileLine);
}
SentenceID++;
}
}
}
}
else // blank line in file
{
//Write BLANK to File
FileLine = SentimentID.ToString() + "\t" + "" + "\t" + "";
streamWriter_Sentiment.WriteLine(FileLine);
}
SentimentID++;
Results.AppendText(Environment.NewLine);
ProgressBar.Value = ProgressBar.Value + ProgressIncAmt;
PctComplete.Text = ProgressBar.Value.ToString() + "%";
}
file.Close();
}
// Increase Progress Bar
ProgressBar.Value = ProgressBar.Value + ProgressIncAmt;
PctComplete.Text = ProgressBar.Value.ToString() + "%";
// Close Output Files
streamWriter_Sentiment.Close();
streamWriter_Sentence.Close();
streamWriter_Phrases.Close();
Results.AppendText(Environment.NewLine);
Results.AppendText("Write Sentiment File [" + FileName_Sentiment + "]." + Environment.NewLine);
Results.AppendText(Environment.NewLine);
Results.AppendText("Write Sentence File [" + FileName_Sentence + "]." + Environment.NewLine);
Results.AppendText(Environment.NewLine);
Results.AppendText("Write Key Phrases File [" + FileName_Phrases + "]." + Environment.NewLine);
// Set progress to 100%
Results.AppendText(Environment.NewLine);
Results.AppendText("Process Completed. [" + SentimentID.ToString() + "] Text Lines Processed. [" + ProcessTotalErrors.ToString() + "] Errors." + Environment.NewLine);
ProgressBar.Value = 100;
PctComplete.Text = ProgressBar.Value.ToString() + "%";
}
catch (Exception ex)
{
MessageBox.Show("A processing error occured." + "\n" + "Last Error Message: " + ex.Message + "\n" + "Last API Response: " + JSONCallResponse.ToString(), "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
Process.Enabled = true;
//System.Diagnostics.Process.Start("explorer.exe", OutputFile.Text);
}
private void Calculation_Click(object sender, RoutedEventArgs e)
{
bool go = true;
while (IsNotRotating.IsChecked == true && go == true)
{
double[] Inst = new double[7];
double temp;
try
{
temp = Convert.ToDouble(Coef_of_exp.GetLineText(0));
if (temp < 0.000002 || temp > 0.00144)
{
throw new FormatException();
}
Inst[0] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение Коэффициента линейного расширения ролика должно находиться в пределах от 0,000002 до 0,00144");
Coef_of_exp.Clear();
Coef_of_exp.Focus();
go = false;
break;
}
try
{
temp = Convert.ToDouble(Width_of_slab.GetLineText(0));
if (temp > 5000 || temp < 350)
{
throw new FormatException();
}
Inst[1] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение ширины сляба должно находиться в диапазоне от 350 до 5000");
Width_of_slab.Clear();
Width_of_slab.Focus();
go = false;
break;
}
try
{
temp = Convert.ToDouble(Lenght_of_roller.GetLineText(0));
if (temp > 10000 || temp < 1000)
{
throw new FormatException();
}
Inst[2] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение длины ролика должно находиться в диапазоне от 1000 до 10000");
Lenght_of_roller.Clear();
Lenght_of_roller.Focus();
go = false;
break;
}
try
{
temp = Convert.ToDouble(Inner_radius.GetLineText(0));
if (temp > 75 || temp < 0)
{
throw new FormatException();
}
Inst[3] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение внутреннего радиуса ролика должно находиться в диапазоне от 0 (Ролик сплошной) до 75 мм");
Inner_radius.Clear();
Inner_radius.Focus();
go = false;
break;
}
try
{
temp = Convert.ToDouble(Outer_radius.GetLineText(0));
if (temp > 300 || temp < 70)
{
throw new FormatException();
}
Inst[4] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение внешнего радиуса ролика должно находиться в диапазоне от 70 до 300 мм");
Outer_radius.Clear();
Outer_radius.Focus();
go = false;
break;
}
try
{
temp = Convert.ToDouble(Coef_of_Fourier_q1.GetLineText(0));
if (temp > 100 || temp < 80)
{
throw new FormatException();
}
Inst[5] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение коэффициента Фурье должно находиться в диапазоне от 80 до 100");
Coef_of_Fourier_q1.Clear();
Coef_of_Fourier_q1.Focus();
go = false;
break;
}
try
{
temp = Convert.ToDouble(Coef_of_Fourier_q2.GetLineText(0));
if (temp > 27 || temp < 22)
{
throw new FormatException();
}
Inst[6] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение коэффициента Фурье должно находиться в диапазоне от 22 до 27");
Coef_of_Fourier_q2.Clear();
Coef_of_Fourier_q2.Focus();
go = false;
break;
}
rot = new NonRotating(Inst);
go = false;
Results.Clear();
Results.AppendText(rot.Show());
Constituent_W.Clear();
Constituent_W.AppendText(rot.ShowW());
Constituent_V.Clear();
Constituent_V.AppendText(rot.ShowV());
}
while (IsRotating.IsChecked == true && go == true)
{
double[] Inst = new double[6];
double temp, newtemp;
try
{
temp = Convert.ToDouble(Coef_of_exp.GetLineText(0));
if (temp < 0.000002 || temp > 0.00144)
{
throw new FormatException();
}
Inst[0] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение Коэффициента линейного расширения ролика должно находиться в пределах от 0,000002 до 0,00144");
Coef_of_exp.Clear();
Coef_of_exp.Focus();
go = false;
break;
}
try
{
temp = Convert.ToDouble(Width_of_slab.GetLineText(0));
if (temp > 5000 || temp < 350)
{
throw new FormatException();
}
Inst[1] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение ширины сляба должно находиться в диапазоне от 350 до 5000");
Width_of_slab.Clear();
Width_of_slab.Focus();
go = false;
break;
}
try
{
temp = Convert.ToDouble(Lenght_of_roller.GetLineText(0));
if (temp > 10000 || temp < 1000)
{
throw new FormatException();
}
Inst[2] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение длины ролика должно находиться в диапазоне от 1000 до 10000");
Lenght_of_roller.Clear();
Lenght_of_roller.Focus();
go = false;
break;
}
try
{
temp = Convert.ToDouble(Inner_radius.GetLineText(0));
if (temp != 0 && temp != 37.5 && temp != 45.0 && temp != 75.0)
{
throw new FormatException();
}
Inst[3] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение внутреннего радиуса ролика может принимать значения:\n" +
"0.0 при внешем радиусе 70.0 мм, 90.0 мм, 107.5 мм, 120.5 мм\n" +
"37.5 мм при внешнем радуису 135.0 мм\n" +
"45.0 мм при внешнем радуису 165.0 мм\n" +
"75.0 мм при внешнем радуису 240.0 мм и 300.0 мм");
Inner_radius.Clear();
Inner_radius.Focus();
go = false;
break;
}
try
{
newtemp = Convert.ToDouble(Outer_radius.GetLineText(0));
switch (temp)
{
case 0.0:
if (newtemp != 70.0 && newtemp != 90 && newtemp != 107.5 && newtemp != 120.5)
{
throw new FormatException();
}
Inst[4] = newtemp;
break;
case 37.5:
if (newtemp != 135.0)
{
throw new FormatException();
}
Inst[4] = newtemp;
break;
case 45:
if (newtemp != 165.0)
{
throw new FormatException();
}
Inst[4] = newtemp;
break;
case 75:
if (newtemp != 240.0 && newtemp != 300.0)
{
throw new FormatException();
}
Inst[4] = newtemp;
break;
default:
throw new FormatException();
}
}
catch (FormatException)
{
MessageBox.Show("Значение внешнего радиуса ролика может принимать значения:\n" +
"70.0 мм, 90.0 мм, 107.5 мм, 120.5 мм при внутреннем радиусе 0.0 мм\n" +
"135.0 мм при внутреннем радиусе 37.5 мм\n" +
"165.0 мм при внутреннем радиусе 45.0 мм\n" +
"240.0 мм и 300.0 мм при внутреннем радиусе 75.0 мм");
Outer_radius.Clear();
Outer_radius.Focus();
go = false;
break;
}
try
{
temp = Convert.ToDouble(Speed_of_stream.GetLineText(0));
if (temp > 5 || temp < 0.2)
{
throw new FormatException();
}
Inst[5] = temp;
}
catch (FormatException)
{
MessageBox.Show("Значение скорости разливки должно находиться в диапазоне 0.2 до 5");
Speed_of_stream.Clear();
Speed_of_stream.Focus();
go = false;
break;
}
rot = new Rotating(Inst);
go = false;
Results.Clear();
Results.AppendText(rot.Show());
Constituent_W.Clear();
Constituent_W.AppendText(rot.ShowW());
Constituent_V.Clear();
Constituent_V.AppendText(rot.ShowV());
}
}