oysters76

import numpy as np 
import gzip 
import matplotlib.pyplot as plt 

def runGeneration(query, iterations):
    i = 0
    g = ""  
    gen = query
    while i < iterations:
        g = "" 

oysters76

type NULL_TNODE = TNode | null; 

class TNode{
    private parent:NULL_TNODE; 
    private children:[NULL_TNODE] | null; 
    private val:string;
    constructor(parent:NULL_TNODE, val:string){
        this.parent = parent;
        this.children = null;  
        this.val = val;

oysters76

// Online Java Compiler
// Use this editor to write, compile and run your Java code online

class Employee{ // <-- entity class 
    private String fname; 
    private String lname; 
    private int age; 
    private String address; 
    
    public Employee(){} 

oysters76

# Online Python compiler (interpreter) to run Python online.
# Write Python 3 code in this online editor and run it.
class Node(object):
    def __init__(self, name, value, next=None):
        self.name = name 
        self.value = value 
        self.next = next 
    
    def set_next(node):
        self.next = node 

oysters76

import pygame
import random
import time

# A program that visualizes a normal distribution
# Author: Chirath Nissanka


class VisualizeProbability(object):
    def __init__(self):

oysters76

import numpy as np 
from scipy.special import softmax

# encoder representations of four different words
word_1 = np.array([1, 0, 0])
word_2 = np.array([0, 1, 0])
word_3 = np.array([1, 1, 0])
word_4 = np.array([0, 0, 1])

# stack the word embeddings into a single array

oysters76

from turtle import *

#color here is the line color and the fill color
color('black','purple')

ypos = 400
n = 4

#Team names can be declared here
groupa = ['TEAM A', 'TEAM B', 'TEAM C', 'TEAM D']

oysters76

import numpy as np

def isNumber(c):
    return c in ['0','1','2','3','4','5','6','7','8','9'];

def parseNumber(n, isNeg):
    if (isNeg):
        return int(n) * -1;
    else:
        return int(n)

oysters76

#Trivial Word Bag implementation using Python
import string

doc1 = "John likes to watch movies. Mary likes movies too.";
doc2 = "Mary also likes to watch football games.";

documents = [doc1, doc2]

def transform(s):
    return s.translate(str.maketrans('','',string.punctuation)).lower()