public async Task <string> GetRandomPicture(string query)
{
if (string.IsNullOrWhiteSpace(query))
{
return("Query is empty");
}
List <string> pictures = new List <string>();
foreach (ISiteProvider siteProvider in SiteProviders)
{
try
{
List <string> currentPictures = await siteProvider.QueryByTagAsync(query, RandomMax);
pictures.AddRange(currentPictures);
}
catch (Exception) { }
}
if (pictures.Count == 0)
{
return("No posts matched your search.");
}
string randomPicture = pictures[RandomThreadSafe.Next(0, pictures.Count)];
return(randomPicture);
}
/// <summary>
/// The world generation procedure
/// </summary>
/// <param name="world">The target world</param>
/// <param name="progressBar">A progressBar instance to render progress upon</param>
public void Generate(World world, ProgressBar progressBar = null)
{
progressBar.Value = 0;
world.BlankMap(Field.IdealHeight, Field.IdealTemperature);
var featureCount = RandomThreadSafe.Next((world.Width + world.Height) / 4, (world.Width + world.Height) * 2);
var features = new List <IMapFeature>();
for (int i = 0; i < featureCount; i++)
{
features.Add(availableFeatures[RandomThreadSafe.Next(0, availableFeatures.Count)].CreateSelf(world));
}
for (int i = 0; i < featureCount; i++)
{
features[i].Effect();
if (progressBar != null)
{
progressBar.Value = 100 * i / featureCount;
}
}
if (progressBar != null)
{
progressBar.Value = 100;
}
}
/// <summary>
/// Allows for construction of the feature actually affecting the world. The constructed feature is fully randomised
/// </summary>
/// <param name="world">The world to be affected</param>
protected Feature(World world)
{
this.world = world;
this.x = RandomThreadSafe.Next(0, world.Width);
this.y = RandomThreadSafe.Next(0, world.Height);
this.intensity = RandomThreadSafe.Next(1, 126);
this.distance = RandomThreadSafe.Next(1, (this.world.Height + this.world.Width) / 4);
}
public Task GetRandomAsync()
{
var dbSet = SQL.Set <Fact>();
RandomThreadSafe rts = new RandomThreadSafe();
int count = dbSet.Count();
int skipN = rts.Next(count);
Reply(SQL.Set <Fact>().Skip(skipN).FirstOrDefault());
return(Task.CompletedTask);
}
/// <summary>
/// An in-place shuffling method for any list
/// </summary>
/// <typeparam name="T">The type contained within our list</typeparam>
/// <param name="list">The list to be shuffled</param>
public static void Shuffle <T>(this IList <T> list)
{
int n = list.Count;
while (n > 1)
{
n--;
int k = RandomThreadSafe.Next(n + 1);
T value = list[k];
list[k] = list[n];
list[n] = value;
}
}
protected River(World world) : base(world)
{
//The river is different in that it moves in only one direction
var direction = RandomThreadSafe.Next(8);
canMoveMinusX = false;
canMoveMinusY = false;
canMovePlusX = false;
canMovePlusY = false;
switch (direction)
{
case 0:
canMoveMinusX = true;
break;
case 1:
canMoveMinusY = true;
break;
case 2:
canMovePlusX = true;
break;
case 3:
canMovePlusY = true;
break;
case 4:
canMoveMinusX = true;
canMoveMinusY = true;
break;
case 5:
canMoveMinusX = true;
canMovePlusY = true;
break;
case 6:
canMovePlusX = true;
canMovePlusY = true;
break;
case 7:
canMoveMinusY = true;
canMovePlusX = true;
break;
default:
throw new IndexOutOfRangeException("Direction out of bounds");
}
}
/// <summary>
/// Handles the spread of the Feature instance's effect based on the allowed directions it can take
/// </summary>
protected virtual void EffectSpread()
{
//List of 8 possible ways is prepared, but filled only as needed
var children = new List <IMapFeature>(8);
if (canMoveMinusX)
{
children.Add(CreateSelf(world, x - 1, y, intensity - RandomThreadSafe.Next(1, intensity / 2 + 1), distance - RandomThreadSafe.Next(0, distance / 2 + 1), false, true, false, false));
if (canMoveMinusY)
{
children.Add(CreateSelf(world, x - 1, y - 1, intensity - RandomThreadSafe.Next(1, intensity / 2 + 1), distance - RandomThreadSafe.Next(0, distance / 2 + 1), false, true, false, true));
}
if (canMovePlusY)
{
children.Add(CreateSelf(world, x - 1, y + 1, intensity - RandomThreadSafe.Next(1, intensity / 2 + 1), distance - RandomThreadSafe.Next(0, distance / 2 + 1), false, true, false, true));
}
}
if (canMovePlusX)
{
children.Add(CreateSelf(world, x + 1, y, intensity - RandomThreadSafe.Next(1, intensity / 2 + 1), distance - RandomThreadSafe.Next(0, distance / 2 + 1), true, false, false, false));
if (canMoveMinusY)
{
children.Add(CreateSelf(world, x + 1, y - 1, intensity - RandomThreadSafe.Next(1, intensity / 2 + 1), distance - RandomThreadSafe.Next(0, distance / 2 + 1), true, false, false, true));
}
if (canMovePlusY)
{
children.Add(CreateSelf(world, x + 1, y + 1, intensity - RandomThreadSafe.Next(1, intensity / 2 + 1), distance - RandomThreadSafe.Next(0, distance / 2 + 1), true, false, true, false));
}
}
if (canMoveMinusY)
{
children.Add(CreateSelf(world, x, y - 1, intensity - RandomThreadSafe.Next(1, intensity / 2 + 1), distance - RandomThreadSafe.Next(0, distance / 2 + 1), false, false, false, true));
}
if (canMovePlusY)
{
children.Add(CreateSelf(world, x, y + 1, intensity - RandomThreadSafe.Next(1, intensity / 2 + 1), distance - RandomThreadSafe.Next(0, distance / 2 + 1), false, false, true, false));
}
foreach (var child in children)
{
child.Effect();
}
}
// Get a random picture from e6.
public async Task <string> GetRandomPicture(string tags)
{
if (tags.Count() > _max_search_query_character_size)
{
return($"Character limit of {_max_search_query_character_size} exceeded! You have input ${tags.Count()} characters.");
}
List <e6Post> e6Posts = await Querye6ByTag(tags, _query_limit);
List <int> ids = e6Posts.Select(x => x.id).ToList();
if (ids.Count() == 0)
{
return("No posts matched your search.");
}
int random_index = RandomThreadSafe.Next(0, ids.Count());
string return_string = $"{_e6_show_post_base_url}/{ids[random_index]}";
return(return_string);
}
/// <summary>
/// Generates a random brain
/// </summary>
public void GenerateRandom()
{
if (Generated)
{
throw new InvalidOperationException("Brain already generated!");
}
for (int i = 0; i < inputNeurons.Length; i++)
{
inputNeurons[i] = new SensoryNeuron();
}
for (int i = 0; i < thinkingNeurons.Length; i++)
{
thinkingNeurons[i] = new Neuron();
}
for (int i = 0; i < outputNeurons.Length; i++)
{
outputNeurons[i] = new Neuron();
}
for (int i = 0; i < memory.Length; i++)
{
memory[i] = RandomThreadSafe.NextDouble();
}
//Not the true max, as we do not limit multiple synapses between the same neurons, but it is the count of possible unique ones
var MaxSynapsesBetweenLayers = inputNeurons.Length * thinkingNeurons.Length;
for (int i = 0; i < RandomThreadSafe.Next(MaxSynapsesBetweenLayers); i++)
{
var fromIndex = RandomThreadSafe.Next(inputNeurons.Length);
var toIndex = RandomThreadSafe.Next(thinkingNeurons.Length);
var synapse = new Synapse(inputNeurons[fromIndex], thinkingNeurons[toIndex], RandomThreadSafe.NextDouble());
}
MaxSynapsesBetweenLayers = thinkingNeurons.Length * outputNeurons.Length;
for (int i = 0; i < RandomThreadSafe.Next(MaxSynapsesBetweenLayers); i++)
{
var fromIndex = RandomThreadSafe.Next(thinkingNeurons.Length);
var toIndex = RandomThreadSafe.Next(outputNeurons.Length);
var synapse = new Synapse(thinkingNeurons[fromIndex], outputNeurons[toIndex], RandomThreadSafe.NextDouble());
}
Generated = true;
}
/// <summary>
/// Generates the tiles of a world
/// </summary>
/// <param name="world">The world to affect</param>
/// <param name="progressBar">A progress bar to render the progress upon</param>
public void Generate(World world, ProgressBar progressBar = null)
{
world.BlankMap(0, 0);
var passes = RandomThreadSafe.Next((world.Width + world.Height) / 2, (world.Width + world.Height));
var toAgitate = new List <Coordinate>();
//For a random ammount of passes
for (int i = 0; i < passes; i++)
{
var drops = RandomThreadSafe.Next(1, (world.Width + world.Height));
toAgitate.Clear();
//Do a random ammount of drops based on the field size
for (int j = 0; j < drops; j++)
{
var x = RandomThreadSafe.Next(0, world.Width);
var y = RandomThreadSafe.Next(0, world.Height);
//Drop a random ammount of height and / or temperature particles on a given field
var doHeight = RandomThreadSafe.Next(0, 2);
var doTemp = RandomThreadSafe.Next(0, 2);
world.Fields[x][y].Drop(RandomThreadSafe.Next(64, 255) * doHeight, RandomThreadSafe.Next(64, Field.MaxValue) * doTemp);
toAgitate.Add(new Coordinate(x, y));
}
foreach (var item in toAgitate)
{
AgitateDrop(world, item.x, item.y);
}
if (progressBar != null)
{
progressBar.Value = (i + 1) * 100 / passes;
}
}
if (progressBar != null)
{
progressBar.Value = 100;
}
}
/// <summary>
/// Mutates the neuron's synapses
/// </summary>
/// <param name="mutability">Mutation rate</param>
/// <param name="targetNeurons">Possible neurons to connect new synapses to</param>
public void MutateSynapses(double mutability, Neuron[] targetNeurons)
{
var synapsesToDie = new List <Synapse>();
foreach (var synapse in outputs)
{
synapse.Mutate(mutability);
if (RandomThreadSafe.NextDouble() < mutability)
{
synapsesToDie.Add(synapse);
}
}
foreach (var synapseToDie in synapsesToDie)
{
outputs.Remove(synapseToDie);
synapseToDie.To.inputs.Remove(synapseToDie);
}
if (RandomThreadSafe.NextDouble() < mutability)
{
var possibleTarget = targetNeurons[RandomThreadSafe.Next(0, targetNeurons.Length)];
var newSynapse = new Synapse(this, possibleTarget, RandomThreadSafe.NextDouble());
}
}