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// threadtest.cc 
//	Simple test case for the threads assignment.
//
//	Create two threads, and have them context switch
//	back and forth between themselves by calling Thread::Yield, 
//	to illustratethe inner workings of the thread system.
//
// Copyright (c) 1992-1993 The Regents of the University of California.
// All rights reserved.  See copyright.h for copyright notice and limitation 
// of liability and disclaimer of warranty provisions.

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private void setupTabs() {
        mTabHost = (MaterialTabHost) findViewById(R.id.materialTabHost);
        mPager = (ViewPager) findViewById(R.id.viewPager);
        mAdapter = new ViewPagerAdapter(getSupportFragmentManager());
        mPager.setAdapter(mAdapter);
        //when the page changes in the ViewPager, update the Tabs accordingly
        mPager.setOnPageChangeListener(new ViewPager.SimpleOnPageChangeListener() {
            @Override
            public void onPageSelected(int position) {
                mTabHost.setSelectedNavigationItem(position);

ajoydas

//
// Created by hp on 05-01-2018.
//

#include <cstdlib>
#include "syncconsole.h"
#include "system.h"

static Semaphore *syncReadAvail;
static Semaphore *syncWriteDone;

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// exception.cc 
//	Entry point into the Nachos kernel from user programs.
//	There are two kinds of things that can cause control to
//	transfer back to here from user code:
//
//	syscall -- The user code explicitly requests to call a procedure
//	in the Nachos kernel.  Right now, the only function we support is
//	"Halt".
//
//	exceptions -- The user code does something that the CPU can't handle.

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//
void AddrSpace::loadIntoFreePage(int vpn){
    int physicalPageNo=memoryManager->AllocPage();
    pageTable[vpn].physicalPage = physicalPageNo;
    pageTable[vpn].valid = true;
    
    bzero(&machine -> mainMemory[(pageTable[vpn].physicalPage) * PageSize], PageSize);

                 

ajoydas

ins_count = 0
tstate_count = 0
df = pd.DataFrame()
position= []
address = []

is_first = False
with open('in.txt') as infile:
    for line in infile: 
        if(line[0]!='.'):

ajoydas

import pandas as pd
import numpy as np

df3 = pd.read_csv('datasets/CustomerChurn.csv')

df3 = df3.drop('customerID', axis=1)
df3 = df3.replace(r'^\s+$', np.nan, regex=True) 
df3['TotalCharges'] = df3['TotalCharges'].astype(float)
df3 = df3.fillna(df3.mean())
df3.isnull().values.any()

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w = [0.0 for i in range(len(binary_train[0])-2)]
w.append(1.0)

weights = w.copy()
# Make a prediction with weights
def predict(row, weights):
	activation = 0
	for i in range(len(weights)-1):
		activation += weights[i] * row[i]
	return 1 if activation >= 0.0 else 2

ajoydas

def pocket_perceptron(weights, binary_train, binary_test):  
    best_weights =  weights
    best_accuracy = 0
    count = 0
    K = 100
    k = 0
    while True:
        #    print(weights)
        for row in binary_train:
            predicted = predict(row, weights)

ajoydas

import pandas as pd
import numpy as np
eps = np.finfo(float).eps
from sklearn.metrics import accuracy_score
from sklearn import preprocessing
import time

a = 1
mu = 0.05