RamiAwar

def post_exam_computation(exam_id):
    exam_results = db.get(exam_id)
    
    max_score = max(exam_results)
    min_score = min(exam_results)
    avg_score = sum(exam_results) / len(exam_results)
    
    exam_stats = {"max": max_score, "min": min_score, "avg": avg_score}
    db.save(exam_stats)

RamiAwar

def post_exam_computation(exam_id):
    exam_results = db.get(exam_id)  # Database call
    
    max_score = max(exam_results)
    min_score = min(exam_results)
    
    exam_stats = {"max": max_score, "min": min_score}
    db.save(exam_stats)

RamiAwar

def validate_unwrap(path_model=None, query_model=None, body_model=None):
    """Validates a Sanic route handler using path, query and body pydantic models.
    This decorator would automatically validate the request path/query/body models and
    plug in instances of the pydantic models as additional arguments to the route handler.

    Usage:
        from pydantic import BaseModel, validator

        class CustomerIn(BaseModel):
            first_name: str

RamiAwar

export PATH=/usr/local/bin:$PATH

export PROMPT=" %(?.%F{green}√.%F{red}X %?) %F{green}%n@%1d λ "
eval "$(pyenv init -)"

# Git integration
autoload -Uz vcs_info
precmd_vcs_info() { vcs_info }
precmd_functions+=( precmd_vcs_info )
setopt prompt_subst

RamiAwar

'''This python code performs face tracking and simulates scrolling. First, the image feed is recieved from the camera. A facial detection algorithm is applied
once in every 5 frames. On detecting the face, a rectangular frame is drawn around the detected face, and the deviation from the center of the screen to the center of the face is taken as the scroll delta.
Requires Python + OpenCV'''
import cv2
from pynput.mouse import Button, Controller

mouse = Controller()


HAAR_CASCADE_PATH = "haarcascade_frontalface_alt.xml"

RamiAwar

extends Node2D

onready var dirt_tilemap = $DirtTileMap
onready var wall_tilemap = $WallTileMap

var rng = RandomNumberGenerator.new()

var CellSize = Vector2(32, 32)
var width = 2048/CellSize.x
var height = 1216/CellSize.y

RamiAwar

extends Node2D

onready var dirt_tilemap = $DirtTileMap
onready var wall_tilemap = $WallTileMap

var rng = RandomNumberGenerator.new()

var CellSize = Vector2(32, 32)
var width = 2048/CellSize.x
var height = 1216/CellSize.y

RamiAwar

extends Node2D

onready var dirt_tilemap = $DirtTileMap
onready var wall_tilemap = $WallTileMap

var rng = RandomNumberGenerator.new()

var CellSize = Vector2(32, 32)
var width = 2048/CellSize.x
var height = 1216/CellSize.y

RamiAwar

extends Node2D

onready var dirt_tilemap = $DirtTileMap
onready var wall_tilemap = $WallTileMap

var rng = RandomNumberGenerator.new()

var CellSize = Vector2(32, 32)
var width = 2048/CellSize.x
var height = 1216/CellSize.y

RamiAwar

extends Node2D

onready var dirt_tilemap = $DirtTileMap
onready var wall_tilemap = $WallTileMap

var rng = RandomNumberGenerator.new()

var CellSize = Vector2(32, 32)
var width = 1024/CellSize.x
var height = 608/CellSize.y