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class ImbalancedDatasetSampler(torch.utils.data.sampler.Sampler):
    """Samples elements randomly from a given list of indices for imbalanced dataset
    Arguments:
        indices (list, optional): a list of indices
        num_samples (int, optional): number of samples to draw
    Source : https://github.com/ufoym/imbalanced-dataset-sampler [UPDATED for CustomDataset]
    """

    def __init__(self, dataset: object, indices=None, num_samples=None) -> object:

redzhepdx

from functools import partial
from typing import Optional

import torch
import torch.nn.functional as F
from torch.nn.modules.loss import _Loss

#: Loss binary mode suppose you are solving binary segmentation task.
#: That mean yor have only one class which pixels are labled as **1**,
#: the rest pixels are background and labeled as **0**.

redzhepdx

#include <iostream>
#include <memory>
#include <exception>
#include <vector>
#include <climits>

#ifdef _MSC_VER
#define _NOEXCEPT noexcept
#else
#define _NOEXCEPT noexcept

redzhepdx

#include <stdio.h>
#include <stdlib.h>
#include <conio.h>

typedef struct point2D {
	int x, y;
}point2D;

typedef struct line2D {
	point2D *start;

redzhepdx

#include <bits/stdc++.h>

using namespace std;

string isBalanced(string s) {
    std::vector<char> stack;
    bool flag = false;
    for(int i = 0; (i < s.length()) && !flag; i++){
        
        switch(s[i]){

redzhepdx

#include <cmath>
#include <cstdio>
#include <vector>
#include <iostream>
#include <algorithm>
using namespace std;

class max_stack {
    public:
        max_stack(void);

redzhepdx

#include <iostream>
#include <cstring>
#include <vector>
#include <algorithm>
#include <stdio.h>

std::vector<int> shift_array(std::string str) {

	int len = str.length();
	int i = 0, j = 1;

redzhepdx

#include <map>
#include <set>
#include <list>
#include <cmath>
#include <ctime>
#include <deque>
#include <queue>
#include <stack>
#include <string>
#include <bitset>

redzhepdx

sudo -i
mkdir aws
cd aws
wget https://s3.amazonaws.com/aws-cli/awscli-bundle.zip
unzip awscli-bundle.zip
sudo ./awscli-bundle/install -i /usr/local/aws -b /usr/local/bin/aws
aws configure set aws_access_key_id your_access_key
aws configure set aws_secret_access your_secret_access
echo "AWS-CLI Done"

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#include "Trie.h"

Node::Node() {
	this->ch = ' ';
	this->isLeaf = false;
	this->str = "";
	this->children = std::vector<Node*>(ALPHABET_SIZE, NULL);
}

Node::~Node() {