svalordev

# Coefficients
print('Coefficients: \n', regressor.coef_)
# The mean squared error
print("Mean squared error: %.2f" % np.mean((regressor.predict(X_test) - y_test) ** 2))
# Explained variance score: 1 is perfect prediction
print('Variance score: %.2f' % regressor.score(X_test, y_test))

svalordev

Keybase proof

I hereby claim:

• I am shaurya-blip on github.
• I am sblipdev (https://keybase.io/sblipdev) on keybase.
• I have a public key ASChL-n6owvUHN6DHVTnBiyfkQDOkUStcFKnNUZ51tWm2Ao

To claim this, I am signing this object:

svalordev

def load_dotdoe(doe_path=None):
    if doe_path is None:
        f = open('.doe', 'r')
    else:
        f = open(doe_path, 'r')

    text = f.read()
    lines = text.split('\n')

    dictionary = {}

svalordev

import customtkinter as ctk
import os
import threading
import time

# Configuration
ctk.set_appearance_mode("System")
ctk.set_default_color_theme("blue")

class ScreenPadControl(ctk.CTk):

svalordev

import sys
import time
import signal
import getpass
import requests
import math
from datetime import datetime
from rich.live import Live
from rich.table import Table
from rich.layout import Layout

svalordev

v1.0.3 (05-04-2026)

• Added custom avatar
• Added subject editing for task
• Updated logo
• Fixed major bugs

v1.0.2 (02-04-2026)

• Added onboarding for new users
• Improved notifications upon joining squads
• Targetted banner system