nebiyuelias1

Table of Contents

1. Abstract
   • 1.1 Overview
   • 1.2 Goals
   • 1.3 Benefits
2. The Solution
3. Schedule and Milestones
4. About Me
   • 4.1 Past Contributions to Django

• 4.1.1 Issues

nebiyuelias1

Installation of MongoDB 6.0 on WSL2 Ubuntu 22.04

Installed MongoDB using the following guide: Install MongoDB

However, the installation in the guide is for MongoDB 5.0 on WSL with Ubuntu 20.04 (focal) distro.

The following is an adaptation of the guide for installing MongoDB 6.0 on WSL with Ubuntu 22.04 jammy distro.

1. Open your WSL terminal (ie. Ubuntu) and go to your home directory:: cd ~
2. Update your Ubuntu packages: sudo apt update

nebiyuelias1

GSoC 2024 Proposal: Improve django-stubs coverage

Table of content

1. Abstract
   • 1.1 Overview
   • 1.2 Goals
   • 1.3 Benefits
2. The solution

• 2.1 Modified CreateModel operation .

nebiyuelias1

import numpy as np
from sklearn.utils import shuffle
from pysad.models import IForestASD
from pysad.transform.preprocessing import InstanceUnitNormScaler
from pysad.transform.postprocessing import RunningAveragePostprocessor
from pysad.utils import Data
from pysad.evaluation import AUROCMetric
from pysad.utils.array_streamer import ArrayStreamer
from tqdm import tqdm
import pandas as pd

nebiyuelias1

class Person(object):
    def __init__(self, name):
        print('Instantiating a person')
        self.name = name

    def __str__(self):
        return self.name

def say_selam(p=Person('Nebiyu')):
    print(f'Selam {p}')

nebiyuelias1

# I'm calling the function without providing a value for the
# paused_at parameter
item.pause_item(request.user)

nebiyuelias1

def pause_item(self, user=None, paused_at=timezone.now()):                   
    self.set_paused_at(paused_at)         
    self.set_paused_by(user)         
    self.set_is_paused(True)          
    
    return self.get_paused_at()

nebiyuelias1

def get_overall_score_trending_factor_queryset(self, queryset):
        duration = Epoch((F('now') - F('created_at')))

        queryset = queryset.annotate(
            now=Cast(timezone.now(), DateTimeField()),
            duration=duration,
            trending_factor=ExpressionWrapper(
                # the 10 ^ 6 * 3600 * 24 * 30 multiplication is to convert micro second duration to months
                (F('score__overall_score') * 1_000_000 * 3600 * 24 * 30) / F('duration'),
                output_field=DecimalField()