public WordFrequencyRatingDataSource(FrequencyList frequencyList)
{
var words = frequencyList.GetAllWords().Materialize();
var count = words.Count;
frequencies = words.Select((kvp, i) => new KeyValuePair <string, double>(kvp.Key, (double)(count - i + 1) / (count + 1) * 10)).ToDictionary();
}
public void ExecuteDeleteSelectedFrequencies(ICollection <object> selectedItems)
{
IList <object> copy = selectedItems.ToList <object>();
foreach (var item in copy)
{
FrequencyList.Remove((double)item);
}
}
/// <summary>
/// Generates a canonical depth-limited Huffman tree using the provided <paramref name="symbolFrequencies"/>.
/// </summary>
public static HuffmanTree <T> FromSymbols(FrequencyList <T> symbolFrequencies, byte maxDepth)
{
if (symbolFrequencies.Count == 0)
{
throw new ArgumentOutOfRangeException(nameof(symbolFrequencies), "Cannot generate a tree with no symbols.");
}
else if (symbolFrequencies.Count == 1)
{
return(new HuffmanTree <T>(new HuffmanNode <T> .Leaf(symbolFrequencies.First())));
}
else
{
return(new HuffmanTree <T>(HuffmanGenerator <T> .FromFrequenciesCanonical(symbolFrequencies.HuffmanFreq.ToArray(), maxDepth)));
}
}
static Constants()
{
// APIID = DataAccess.Security;
// DefaultAvatar = string.Format("data:image/png;base64,{0}", Convert.ToBase64String(Mirrovest.Shared.AvatarCreator.CreateAvatar(File.OpenRead(HttpContext.Current.Server.MapPath("~/Content/elements/bigavatar.png")))));
EmailHost = ConfigurationManager.AppSettings["EmailHost"];
EmailUsername = ConfigurationManager.AppSettings["EmailUsername"];
EmailPassword = ConfigurationManager.AppSettings["EmailPassword"];
EmailFromAddress = ConfigurationManager.AppSettings["EmailFromAddress"];
EmailFromName = ConfigurationManager.AppSettings["EmailFromName"];
DefaultLanguage = ConfigurationManager.AppSettings["DefaultLanguage"];
ScalesList = SADFM.Data.DataAccess.ListItem.GetList("Scale").ToList();
//ImpairmentClassList = SADFM.Data.DataAccess.ListItem.GetList("ImpairmentClass").OrderBy(x => Convert.ToInt32(x.SortOrder)).SelectMany(li => li.Children.OrderBy(x => x.SortOrder)).ToList();
ImpairmentClassList = SADFM.Data.DataAccess.ListItem.GetImpairmentClass();
AdmissionStatusList = SADFM.Data.DataAccess.ListItem.GetImpairmentClass();
FrequencyList = SADFM.Data.DataAccess.ListItem.GetList("Frequency", deep: false).ToList();
RolesList = SADFM.Data.DataAccess.ListItem.GetList("Role");
TitleComboBox = SADFM.Web.Shared.HtmlHelper.DropdownBox(SADFM.Data.DataAccess.ListItem.GetList("Title", deep: false), "TitleID", l => l.ID, l => l.Name, "chosen-select", dataPlaceholder: "Select title");
GenderComboBox = SADFM.Web.Shared.HtmlHelper.DropdownBox(SADFM.Data.DataAccess.ListItem.GetList("Gender", deep: false), "GenderID", l => l.ID, l => l.Name, "chosen-select", dataPlaceholder: "Gender");
RaceComboBox = SADFM.Web.Shared.HtmlHelper.DropdownBox(SADFM.Data.DataAccess.ListItem.GetList("Race", deep: false), "RaceID", l => l.ID, l => l.Name, "chosen-select", dataPlaceholder: "Race");
MedicalSchemeComboBox = SADFM.Web.Shared.HtmlHelper.DropdownBox(SADFM.Data.DataAccess.ListItem.GetList("MedicalScheme", deep: false).OrderByDescending(x => x.SortOrder).ThenBy(x => x.Description).ToList(), "medicalscheme", l => l.ID, l => l.Description, "chosen-select", dataPlaceholder: "Medical Scheme");
var medicalShemeListMulti = SADFM.Data.DataAccess.ListItem.GetList("MedicalScheme", deep: false).OrderByDescending(x => x.SortOrder).ThenBy(x => x.Description).ToList();
medicalShemeListMulti.Insert(0, new Data.Models.ListItem()
{
Description = "All", ID = "All"
});
MedicalSchemeComboBoxMulti = SADFM.Web.Shared.HtmlHelper.DropdownBox(medicalShemeListMulti, "MedicalSchemes", l => l.GUID.ToString(), l => l.Description, "chosen-select", dataPlaceholder: "Medical Schemes", multiple: true);
CountryComboBox = SADFM.Web.Shared.HtmlHelper.DropdownBox(SADFM.Data.DataAccess.ListItem.GetList("Country", deep: false), "CountryID", l => l.ID, l => l.Description, "chosen-select", dataPlaceholder: "Country");
ScalesComboBox = SADFM.Web.Shared.HtmlHelper.DropdownBox(ScalesList, "ScaleId", s => s.GUID.ToString(), s => s.Description, "chosen-select", dataPlaceholder: "Select scale");
ScalesComboBoxMulti = SADFM.Web.Shared.HtmlHelper.DropdownBox(ScalesList, "Scales", s => s.GUID.ToString(), s => s.Description, "chosen-select", dataPlaceholder: "Select scale", multiple: true);
FrequencyComboBox = SADFM.Web.Shared.HtmlHelper.DropdownBox(FrequencyList.OrderBy(x => x.SortOrder).ToList(), "FrequencyID", f => f.ID, f => f.Description, "chosen-select", dataPlaceholder: "Select frequency");
DefaultCountryId = SADFM.Data.Models.BaseModel.EncryptId(SADFM.Data.DataAccess.ListItem.GetListItemIdByName(ConfigurationManager.AppSettings["DefaultCountry"]));
#if (DEBUG)
Debugging = true;
#else
Debugging = false;
#endif
}
/// <summary>
/// Adapted from https://github.com/google/brotli/blob/master/c/enc/bit_cost.h (BitsEntropy, ShannonEntropy)
/// </summary>
private static double BitsEntropy(FrequencyList <T> histogram)
{
int total = 0;
double calc = 0.0;
foreach (var symbol in histogram)
{
var freq = histogram[symbol];
total += freq;
calc -= freq * Math.Log(freq, 2.0);
}
if (total > 0)
{
calc += total * Math.Log(total, 2.0);
}
return(Math.Max(calc, total));
}
public void ExecuteReadConfig()
{
try
{
_cvConfiguration.LoadConfiguration(ConfigurationFile);
StartVoltage = _cvConfiguration.StartVoltage;
FinalVoltage = _cvConfiguration.FinalVoltage;
IncrementVoltage = _cvConfiguration.IncrementVoltage;
CurrentLimit = _cvConfiguration.CurrentLimit;
Amplitude = _cvConfiguration.Amplitude;
FrequencyList.Clear();
foreach (var frequency in _cvConfiguration.TestWaveFrequency)
{
FrequencyList.Add(frequency);
}
StatusMessage = $"Configuration File {ConfigurationFile} loaded";
}
catch (Exception ex)
{
StatusMessage = $"Error {ex.Message} reading Configuration File: {ConfigurationFile}";
}
}
/// <summary>
/// Adapted from https://github.com/google/brotli/blob/master/c/enc/compress_fragment.c (ShouldMergeBlock).
/// </summary>
private bool ShouldMergeBlock(int ip, int blockSize)
{
const int sampleRate = 43;
FrequencyList <byte> bytes = new FrequencyList <byte>();
for (int offset = 0; offset < blockSize; offset += sampleRate)
{
bytes.Add(input[ip + offset]);
}
int total = (blockSize + sampleRate - 1) / sampleRate;
double r = ((total == 0 ? 0 : Math.Log(total, 2.0) + 0.5) * total) + 200;
foreach (var symbol in bytes)
{
var samples = bytes[symbol];
var literal = new Literal(symbol);
r -= samples * (literalTree !.FindPath(literal).Length + Math.Log(samples, 2.0));
}
return(r >= 0.0);
}
public void ProcessSequence(BlockSwitchBuilder builder, List <T> sequence, ContextInfo?contextParam = null)
{
builder.Reset();
ContextInfo ctx = contextParam ?? ContextInfo.Default;
int numContexts = 1 + ctx.Map.Max();
int maxBlockTypes = 256 / numContexts;
int maxNumBlocks = sequence.Count / minBlockSize + 1;
var histograms = FrequencyList <T> .Array(numContexts *Math.Min(maxNumBlocks, maxBlockTypes + 1));
int numBlocks = 0;
int blockSize = 0;
int targetBlockSize = minBlockSize;
int currHistogramIx = 0;
var lastHistogramIx = new int[2];
var lastEntropy = new double[2 * numContexts];
int mergeLastCount = 0;
void FinishBlock(bool isFinal)
{
blockSize = Math.Max(blockSize, minBlockSize);
if (numBlocks == 0)
{
builder.SetInitialLength(blockSize);
for (int context = 0; context < numContexts; context++)
{
lastEntropy[context] = BitsEntropy(histograms[context]);
lastEntropy[context + numContexts] = lastEntropy[context];
}
currHistogramIx += numContexts;
++numBlocks;
blockSize = 0;
}
else if (blockSize > 0)
{
var entropy = new double[numContexts];
var combinedHisto = FrequencyList <T> .Array(2 *numContexts);
var combinedEntropy = new double[2 * numContexts];
var diff = new double[2];
for (int context = 0; context < numContexts; context++)
{
int currHistoIx = currHistogramIx + context;
entropy[context] = BitsEntropy(histograms[currHistoIx]);
for (int i = 0; i < 2; i++)
{
int ix = i * numContexts + context;
int lastHistogramIxValue = lastHistogramIx[i] + context;
var newHisto = new FrequencyList <T> {
histograms[currHistoIx],
histograms[lastHistogramIxValue]
};
combinedHisto[ix] = newHisto;
combinedEntropy[ix] = BitsEntropy(combinedHisto[ix]);
diff[i] += combinedEntropy[ix] - entropy[context] - lastEntropy[ix];
}
}
if (builder.TypeCount < maxBlockTypes && diff[0] > splitThreshold && diff[1] > splitThreshold)
{
byte nextBlockType = (byte)(builder.TypeCount);
builder.AddBlock(nextBlockType, blockSize);
lastHistogramIx[1] = lastHistogramIx[0];
lastHistogramIx[0] = nextBlockType * numContexts;
for (int context = 0; context < numContexts; context++)
{
lastEntropy[context + numContexts] = lastEntropy[context];
lastEntropy[context] = entropy[context];
}
currHistogramIx += numContexts;
if (currHistogramIx < histograms.Length)
{
histograms[currHistogramIx].Clear();
}
++numBlocks;
blockSize = 0;
mergeLastCount = 0;
targetBlockSize = minBlockSize;
}
else if (diff[1] < diff[0] - 20.0)
{
builder.AddBlock(builder.Commands.Count >= 2 ? builder.Commands[^ 2].Type : (byte)0, blockSize);
protected override (MetaBlock, BrotliGlobalState) Transform(MetaBlock.Compressed original, BrotliGlobalState state, BrotliCompressionParameters parameters)
{
var builder = new CompressedMetaBlockBuilder(original, state);
var literals = new List <Literal>(builder.GetTotalBlockLength(Category.Literal));
var lengthCodes = new List <InsertCopyLengthCode>(builder.GetTotalBlockLength(Category.InsertCopy));
var distanceCodes = new List <DistanceCode>(builder.GetTotalBlockLength(Category.Distance));
var distanceFreq = new FrequencyList <DistanceCode>();
var validDistanceCodes = new List <DistanceCode>(5);
foreach (var command in original.Data.InsertCopyCommands)
{
literals.AddRange(command.Literals);
state.OutputLiterals(command.Literals);
if (command.CopyDistance == DistanceInfo.EndsAfterLiterals)
{
lengthCodes.Add(command.Lengths.MakeCode(ImplicitDistanceCodeZero.PreferEnabled));
break;
}
if (!command.CopyDistance.FindCodes(original.Header.DistanceParameters, state, validDistanceCodes))
{
lengthCodes.Add(command.Lengths.MakeCode(ImplicitDistanceCodeZero.ForceEnabled));
}
else
{
DistanceCode distanceCode;
if (command.CopyDistance == DistanceInfo.ExplicitCodeZero)
{
distanceCode = DistanceCode.Zero;
}
else
{
distanceCode = validDistanceCodes.Count > 1 ? parameters.DistanceCodePicker(validDistanceCodes, distanceFreq) : validDistanceCodes[0];
}
distanceFreq.Add(distanceCode);
distanceCodes.Add(distanceCode);
lengthCodes.Add(command.Lengths.MakeCode(ImplicitDistanceCodeZero.Disable));
}
}
var origLitCtxMap = builder.LiteralCtxMap;
if (origLitCtxMap.TreeCount == 1)
{
Split(builder, Category.Literal, literals, 512, 400.0);
builder.UseSameLiteralContextMode(LiteralContextMode.UTF8);
builder.LiteralCtxMap = new ContextMapBuilder.Literals(builder).RepeatFirstBlockType(true).Build();
}
else
{
var literalContextMap = Enumerable.Range(0, origLitCtxMap.ContextsPerBlockType).Select(index => origLitCtxMap.DetermineTreeID(0, index)).ToArray();
var literalContextMode = builder.LiteralContextModes[0];
var literalBuffer = RingBufferFast <byte> .From(0, 0);
Split(builder, Category.Literal, literals, 512, 400.0, new BlockSplitter <Literal> .ContextInfo(literalContextMap, literal => {
literalBuffer.Push(literal.Value);
return(literalContextMode.DetermineContextID(literalBuffer.Front, literalBuffer.Back));
}));
builder.UseSameLiteralContextMode(literalContextMode);
builder.LiteralCtxMap = new ContextMapBuilder.Literals(builder).Set(0, literalContextMap).RepeatFirstBlockType(true).Build();
}
Split(builder, Category.InsertCopy, lengthCodes, 1024, 500.0);
Split(builder, Category.Distance, distanceCodes, 512, 100.0);
builder.DistanceCtxMap = new ContextMapBuilder.Distances(builder).RepeatFirstBlockType(true).Build();
return(builder.Build(parameters));
}
/// <summary>
/// Generates a canonical depth-limited Huffman tree using the provided <paramref name="symbolFrequencies"/>, and default depth limit of 15.
/// </summary>
public static HuffmanTree <T> FromSymbols(FrequencyList <T> symbolFrequencies)
{
return(FromSymbols(symbolFrequencies, DefaultMaxDepth));
}
public void ExecuteAddFrequency()
{
FrequencyList.Add(NewFrequency);
FrequencyList.Sort();
}
public bool CanExecuteAddFrequency()
{
return(NewFrequency > 0.0 && !FrequencyList.Contains(NewFrequency));
}
public DistanceCode Pick(List <DistanceCode> picks, FrequencyList <DistanceCode> previouslySeen)
{
picks.RemoveAll(BlockedCodes.Contains);
return(originalPicker(picks, previouslySeen));
}
public PartialWordLookupJMDictDataSource(PartialWordLookup lookup, FrequencyList list)
{
this.lookup = lookup;
this.list = list;
}
IEnumerator LoginRequest(string username, string password)
{
// Instantiate loading animation.
Debug.Log ("Instantiating load animation");
GameObject canvas = GameObject.FindGameObjectsWithTag ("canvas")[0];
load = Instantiate (loadAnimation);
load.transform.SetParent (canvas.transform);
yield return TestSession();
yield return SignIn(username,password);
Debug.Log(sessionID);
if (sessionID == 0) {
loginFail();
} else {
yield return NativeLanguageRequest();
}
Debug.Log(sessionID);
if(userNativeLanguage != null && userNativeLanguage != "") {
yield return LearnedLanguageRequest();
} else {
loginFail();
}
if (userLearnedLanguage != null && userLearnedLanguage != "") {
yield return RetrieveBookmarks();
} else {
loginFail();
}
if(userBookmarks == null) {
loginFail();
}
// Store the session
saveSession();
//Loading up the word frequency list to be used in word selection
frequencyList = new FrequencyList(userLearnedLanguage);
frequencyList.initialize();
Debug.Log(frequencyList.lang);
//Go to main menu
if(frequencyList.lang != null && frequencyList.lang != "") {
Screen.orientation = ScreenOrientation.Landscape;
SceneManager.LoadScene(1);
} else {
loginFail();
}
// Finalise loading animation.
Debug.Log ("Destroying load animation");
Destroy (load);
}
public PartialWordLookupJMDictDataSource(JMDict jmdict, FrequencyList list)
{
this.jmdict = jmdict;
this.list = list;
}