Korisliiga stats & predictions

How can I stay updated with daily match results?

You can follow our dedicated section for real-time updates on scores and results as they happen across all games in the Korisliiga.

What should I consider when placing bets?

Taking into account expert predictions, player form, team strategies, and statistical trends can significantly enhance your betting experience.

Are there any live streaming options available?

Certain matches are available through various streaming platforms. Check our guide for detailed information on where you can watch live games.

How do analytics influence game outcomes?

Analytics provide valuable insights into player performance, team dynamics, and strategic planning, which can influence both coaching decisions and betting predictions.

Lukas Nissinen - The Strategic Maestro

Lukas Nissinen is renowned for his exceptional strategic mind on the court. His ability to read the game makes him an invaluable asset to his team. Here’s why he stands out:

• Precision passing that disrupts opponent defenses
• Adept at making split-second decisions under pressure
• Rising star with potential for international recognition

Johanna Kaski - The Defensive Dynamo

Johanna Kaski is celebrated for her defensive prowess. Her agility and anticipation make her one of the toughest defenders in the league. Key highlights include:

• Incredible ability to block shots without foulingrajshekhar/Python-Data-Structures<|file_sep|>/Queue.py class Queue: def __init__(self): self.queue = [] def enqueue(self,item): self.queue.append(item) def dequeue(self): if len(self.queue) >0: return self.queue.pop(0) else: return None def size(self): return len(self.queue) queue = Queue() queue.enqueue(1) queue.enqueue(2) queue.enqueue(5) queue.enqueue(6) print(queue.dequeue()) print(queue.dequeue()) print(queue.size())<|repo_name|>rajshekhar/Python-Data-Structures<|file_sep|>/Graph.py from collections import defaultdict class Graph: def __init__(self): self.graph = defaultdict(list) def addEdge(self,u,v): self.graph[u].append(v) def DFSUtil(self,v,visited): visited.add(v) print(v,end=' ') for neighbour in self.graph[v]: if neighbour not in visited: self.DFSUtil(neighbour,visited) def DFS(self,v): visited = set() self.DFSUtil(v,visited) g = Graph() g.addEdge(1,2) g.addEdge(1,3) g.addEdge(2,4) g.addEdge(2,5) g.addEdge(3,6) g.addEdge(5,7) print("Following is Depth First Traversal starting from vertex",1,) g.DFS(1)<|repo_name|>rajshekhar/Python-Data-Structures<|file_sep|>/Stack.py class Stack: def __init__(self): self.stack = [] def push(self,item): self.stack.append(item) def pop(self): if len(self.stack)>0: return self.stack.pop() else: return None stack = Stack() stack.push('a') stack.push('b') stack.push('c') stack.push('d') print(stack.pop()) print(stack.pop()) print(stack.size())<|file_sep|># Data Structures using Python This repository contains basic implementations of various data structures using Python. ## Table of contents * [Stack](#Stack) * [Queue](#Queue) * [Binary Tree](#BinaryTree) * [Graph](#Graph) ## Stack Stack is a linear data structure which follows LIFO (Last In First Out) principle. Here we use list data structure provided by Python. **Methods** * push(item) : Adds item at top. * pop() : Removes item from top. * size() : Returns number of items. ## Queue Queue is also linear data structure which follows FIFO (First In First Out) principle. Here we use list data structure provided by Python. **Methods** * enqueue(item) : Adds item at rear. * dequeue() : Removes item from front. * size() : Returns number of items. ## Binary Tree Binary tree is non-linear data structure where each node has maximum two children. Here we use object oriented approach. **Methods** * insert(data) : Inserts new node. * search(data) : Searches node containing data. * delete(data) : Deletes node containing data. * print_tree() : Prints tree inorder. ## Graph Graph consists of nodes (vertices) connected by edges. Here we use adjacency list representation using dictionary provided by Python. **Methods** * addEdge(u,v) : Adds edge between u & v vertices. * DFS(v) : Performs Depth First Search starting from v vertex.<|repo_name|>rajshekhar/Python-Data-Structures<|file_sep|>/BinaryTree.py class Node: def __init__(self,data=None): self.data = data self.left = None self.right = None class BinaryTree: def __init__(self): self.root = None def insert(self,data): if not self.root: self.root = Node(data) return else: current = self.root while True: if data current.data: if current.right is None: current.right = Node(data) break else: current = current.right def search(self,data): if not self.root: return None else: current = self.root while True: if data==current.data: return True elif datacurrent.data: if current.right is None: return False else: current=current.right def delete(self,data): if not self.root: #empty tree case return None elif self.root.data == data: #root case if not (self.root.left or self.root.right): #no child case self.root=None elif (self.root.left is None): #one child case(root has right child only) temp=self.root.right self.root=None return temp elif (self.root.right is None): #one child case(root has left child only) temp=self.root.left self.root=None return temp else: #two child case parent=self.root successor=self.root.right while successor.left: #successor will be left most node in right subtree parent=successor successor=successor.left if parent !=self.root: #successor found so not root's right child parent.left=successor.right successor.left=self.root.left #successor gets left subtree as left child successor.right=self.root.right #successor gets right subtree as right child tree=BinaryTree() tree.insert(8) tree.insert(5) tree.insert(10) tree.insert(2) tree.insert(6) if tree.search(6)==True : print("Found") else : print("Not Found") if tree.search(9)==True : print("Found") else : print("Not Found") tree.delete(8) if tree.search(8)==True : print("Found") else : print("Not Found")<|file_sep|>#pragma once #include "ofMain.h" #include "ofxGui.h" #include "ofxLibwebsockets.h" #include "ofxNetwork.h" #include "ofxMidi.h" #define USE_LOCAL_MIDI false class ofApp : public ofBaseApp{ public: void setup(); void update(); void draw(); void keyPressed(int key); void keyReleased(int key); void mouseMoved(int x, int y ); void mouseDragged(int x, int y, int button); void mousePressed(int x, int y, int button); void mouseReleased(int x, int y, int button); void windowResized(int w, int h); void dragEvent(ofDragInfo dragInfo); void gotMessage(ofMessage msg); private: ofxPanel gui; ofParameterGroup parameters; ofParameter play, tap, record, pause, repeat, random; ofParameter numEvents; ofParameter radius, sensitivity; ofParameter speed, lifeTime, sizeScale; ofParameter color; ofxLibwebsockets::Server server; vector* pX; vector* pY; #if USE_LOCAL_MIDI MidiIn midiIn; #endif }; <|repo_name|>codelaborator/Kinetic-Paint-Server<|file_sep|>/src/ofApp.cpp #include "ofApp.h" static const string WEBSOCKET_ADDRESS("ws://localhost:3000"); void ofApp::setup(){ ofSetVerticalSync(true); parameters.setName("Settings"); parameters.add(play.set("Play", false)); parameters.add(tap.set("Tap", false)); parameters.add(record.set("Record", false)); parameters.add(pause.set("Pause", false)); parameters.add(repeat.set("Repeat", false)); parameters.add(random.set("Random", false)); parameters.add(numEvents.set("Num Events",1000)); parameters.add(speed.set("Speed",1.f)); parameters.add(radius.set("Radius",300)); parameters.add(sensitivity.set("Sensitivity",100)); parameters.add(sizeScale.set("Size Scale",0.f)); parameters.add(lifeTime.set("Life Time",60.f)); gui.setup(parameters); gui.loadFromFile(ofToDataPath("../settings.xml")); pX=new vector; pY=new vector; server.setup(3000); #if USE_LOCAL_MIDI midiIn.openPort(); midiIn.ignoreTypes(false,false,true); //ignore sysex , timing , midi channel messages midiIn.addListener(this); #endif } void ofApp::update(){ if(record){ #if USE_LOCAL_MIDI vector* messages=midiIn.getMidiMessages(); MidiMessage message; float px=0.f; float py=0.f; int count=messages->size(); for(int i=0;iat(i); px=message.getNoteOffVelocity()/127.f; py=message.getNoteOffVelocity()/127.f; pX->push_back(px); pY->push_back(py); } midiIn.clearMidiMessages(); #else server.onMessage([&](string &msg){ json j=json::parse(msg); auto px=j["x"].get(); auto py=j["y"].get(); pX->push_back(px); pY->push_back(py); cout<<"Got Message:"<* messages=midiIn.getMidiMessages(); MidiMessage message; float px=0.f; float py=0.f; int count=messages->size(); for(int i=0;iat(i); px=message.getNoteOffVelocity()/127.f; py=message.getNoteOffVelocity()/127.f; json j=json::object(); j["x"]=px; j["y"]=py; server.sendBroadcast(ofToString(j.dump(),true)); } midiIn.clearMidiMessages(); #else server.onMessage([&](string &msg){ json j=json::parse(msg); auto px=j["x"].get(); auto py=j["y"].get(); json j2=json::object(); j2["x"]=px; j2["y"]=py; server.sendBroadcast(ofToString(j.dump(),true)); }); #endif tap=false; } if(play){ #if USE_LOCAL_MIDI vector* messages=midiIn.getMidiMessages(); MidiMessage message; float px=0.f; float py