dan0nchik

addi x17, x0, 5 # read a (a is put in x10)
ecall
add x6, x0, x10 # store "a" in x6
srli x5, x10, 31 # store sign of "a" in x5
ecall
add x29, x0, x10  # store "b" in x29
srli x28, x10, 31 # store sign of "b" in x28
beq x6, x0, if_a_zero # branch if a is zero (???)
beq x29, x0, if_b_zero #branch if b is zero (???)
beq x5, x0, if_a_less_0 # branch if "a" < 0 then inverse it

dan0nchik

#include <algorithm>
#include <iostream>
#include <map>
#include <vector>

typedef unsigned int UInt;

struct Date
{
    UInt day;

dan0nchik

from asyncio import as_completed
from functools import partial
import os
import boto3
import tqdm
from concurrent.futures.thread import ThreadPoolExecutor
from dotenv import load_dotenv

load_dotenv()
LOCAL_WEIGHTS_DIR = 'model-weights-skills'

dan0nchik

#include <fstream>
#include <iostream>
#include <sstream>
#include <string>
#include <vector>

struct Employee {
    std::string name;
    std::vector<int> salaries;
};

dan0nchik

def add_pupil(name, birth_year, cs_score, math_score, physics_score, data):
    data[name] = (name, birth_year, cs_score, math_score, physics_score)  #


def show_pupil(name, data):
    print(*data[name])


def del_pupil(name, data):
    del data[name]

dan0nchik

FAILED            [100%]Recreating table test_cls with data from file
Done
Task: cls
|   iter    |  target   | algo_i... | prepro... |
-------------------------------------------------
Child Iteration accuracy: 0.884955
Child Iteration accuracy: 0.862831
|  1        |  0.885    |  2.063    |  1.061    |
Child Iteration accuracy: 0.871681
Child Iteration accuracy: 0.865044

dan0nchik

FAILED        [100%]Recreating table test_when_clean with data from file
Done
Task: cls
|   iter    |  target   | algo_i... | prepro... |
-------------------------------------------------
Child Iteration accuracy: 0.77528
Child Iteration accuracy: 0.786516
|  1        |  0.7865   |  2.063    |  1.061    |
Child Iteration accuracy: 0.786516
Child Iteration accuracy: 0.808988

dan0nchik

//
//  ImagePicker.swift
//
//  Created by Daniel Khromov on 3/2/21.
//

import SwiftUI
import UIKit

struct ImagePicker: UIViewControllerRepresentable{

dan0nchik

from sklearn.ensemble import ExtraTreesClassifier
import matplotlib.pyplot as plt
model = ExtraTreesClassifier()
model.fit(X,y)
f = plt.figure(figsize=(10, 10))
print(model.feature_importances_) #use inbuilt class feature_importances of tree based classifiers
#plot graph of feature importances for better visualization
feat_importances = pd.Series(model.feature_importances_, index=X.columns)
feat_importances.nlargest(30).plot(kind='barh')
plt.show()

dan0nchik

<?php
function equation($a, $b, $c){
    if ($a != 0){
        $D = $b*$b - 4*$a*$c;
        if($D < 0){
            return "No roots";
        }
        if($D == 0){
            return -$b/(2*$a);
        }