promto-c

"""Copyright (C) 2020 promto-c

Permission Notice:
- You are free to use, copy, modify, and distribute this software for any purpose.
- No restrictions are imposed on the use of this software.
- You do not need to give credit or include this notice in your work.
- Use at your own risk.
- This software is provided "AS IS" without any warranty, either expressed or implied.
- This license does not cover any third-party libraries or dependencies used in this software. Those libraries are subject to their respective licenses.
"""

promto-c

"""Copyright (C) 2024 promto-c

Permission Notice:
- You are free to use, copy, modify, and distribute this software for any purpose.
- No restrictions are imposed on the use of this software.
- You do not need to give credit or include this notice in your work.
- Use at your own risk.
- This software is provided "AS IS" without any warranty, either expressed or implied.
"""
from difflib import SequenceMatcher

promto-c

Model-View-Projection (MVP) Matrix in 3D Graphics

In 3D graphics programming, MVP stands for Model-View-Projection matrix. It is a transformation matrix that combines three separate transformations—Model, View, and Projection—into a single matrix to convert 3D coordinates into 2D screen coordinates for rendering.

Components of MVP

1. Model Matrix (M)

• Represents the transformation of an object from model space to world space.
• This matrix is used to position, rotate, and scale the model within the world.
• Example transformations include:

promto-c

import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
import category_encoders as ce
import time

# Load the dataset
file_path = 'car1.csv'

promto-c

import nuke
from typing import List, Tuple


class NodeAlignment:
    """Handles the alignment of nodes in Nuke."""

    DEFAULT_SPACING = 100

    @staticmethod

promto-c

"""
Copyright (C) 2024 promto-c

Permission Notice:
- You are free to use, copy, modify, and distribute this software for any purpose.
- No restrictions are imposed on the use of this software.
- You do not need to give credit or include this notice in your work.
- Use at your own risk.
- This software is provided "AS IS" without any warranty, either expressed or implied.
"""

promto-c

import nuke


def toggle_nodes_alignment(spacing=100):
    """Toggle the alignment of selected nodes between horizontal and vertical.

    Args:
        spacing (int): The spacing between nodes after alignment.
    """
    nodes = nuke.selectedNodes()

promto-c

SQLite Journal Modes Explained

SQLite supports several journal modes, each offering advantages in performance, concurrency, and the way changes are logged and applied. This guide explains the journal modes available in SQLite so you can choose the right one for your application.

1. WAL (Write‑Ahead Logging)

PRAGMA journal_mode = WAL;

• Description

promto-c

import PyPDF2

def unlock_pdf(input_pdf_path, password, output_pdf_path):
    """Unlocks a password-protected PDF file and saves an unlocked version.

    This function attempts to unlock a PDF file using the provided password. If successful,
    it creates a new PDF file without the password protection. It handles both cases where
    the PDF is encrypted and when it's not. In case of failure due to an incorrect password
    or any other issue, it prints an error message.

promto-c

import re

def sanitize_string(input_string, prepend_char='_'):
    """
    Replaces any character not in [a-zA-Z0-9_] with an underscore, strips leading and trailing underscores or spaces,
    and prepends a character if the first character is a digit.

    Args:
        input_string (str): The string to be sanitized.
        prepend_char (str): The character to prepend if the first character is a digit. Defaults to '_'.