melvincabatuan

#Much code taken from https://github.com/roxas75/rxTools/blob/012a9c2fe99f2d421e68ae91f738b4028995ad67/tools/scripts/ncchinfo_gen.py
#Uses some bits and pieces from https://github.com/Mtgxyz2/3ds-FUSE
#Comments are for people that care about being able to read their code tommorrow :P
from __future__ import print_function
import os, sys, glob, struct
from Crypto.Cipher import AES
from Crypto.Util import Counter
from hashlib import sha256
from ctypes import *
from binascii import hexlify, unhexlify

melvincabatuan

(latest) C:\WINDOWS\system32>conda install -c conda-forge opencv
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: C:\Program Files\Anaconda3\envs\latest

  added / updated specs:
    - opencv

melvincabatuan

#include <iostream>

const int MAX = 12;

void swap(int arr[], int i, int j){
	int temp = arr[i];
	arr[i] = arr[j];
	arr[j] = temp;
}

melvincabatuan

#include <stdio.h>
#include <math.h>

int find(int data[], int length, int key) {
    int location = -1;       // initialize to not found
    int begin = 0;           // beginning of the index
    int end = length - 1;    // end of the index
    int mid = 0;
    
    int count = 0;

melvincabatuan

#include <iostream>

const int SIZE = 8;

void display(int arr[]){
	std::cout << std::endl;
	for (int i = 0; i < SIZE; ++i)
	std::cout << arr[i] << " ";
}

melvincabatuan

#include <iostream>

const int SIZE = 8;

void display(int arr[]){
	std::cout << std::endl;
	for (int i = 0; i < SIZE; ++i)
	std::cout << arr[i] << " ";
}

melvincabatuan

import java.io.*; 
import java.util.*; 


public class Main
{
    

static String infix2postfix(String input) 
{ 

melvincabatuan

$ python mnist_mlp.py
60000 train samples
10000 test samples
2019-10-30 15:59:27.542886: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2019-10-30 15:59:27.870733: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235
pciBusID: 0000:06:00.0
2019-10-30 15:59:27.873027: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 1 with properties:
name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235
pciBusID: 0000:07:00.0

melvincabatuan

#include <iostream>
#include <limits>

using namespace std;

void display(int arr[], int length, int pass);

void selectionSort(int arr[], int length){
	int i, j, min, minat;
	for(i = 0; i < (length-1); i++)

melvincabatuan

#include <iostream>
#include <limits>

using namespace std;

void display(int arr[], int length, int pass);

void selectionSort(int arr[], int length){
	int i, j, min, minat;
	for(i = 0; i < (length-1); i++)