Philistino

def _tf_idf_match(
    original: Sequence[str],
    lookup: Sequence[str],
    k_matches: int = 3,
    ngram_range: tuple[int, int] = (3, 3),
) -> tuple[Sequence[str], Sequence[str], list[list[float]], list[list[int]]]:
    """Takes two tuples, returns top `k` matches from `lookup` dataset.
    This function does this by:
    - Transform the lookup strings into TF-IDF sparse matrix.
    - Fit a NearestNeighbours Model to the lookup matrix.

Philistino

# See last successful ssh logins
alias ssh_success = "sudo tail -100000 /var/log/auth.log | grep 'sshd.*Accepted'"

# To add to profile, run command: source ~/.zshrc
#------------------------------------------------------------------------------------------------
# Operating System
#------------------------------------------------------------------------------------------------
# update and upgrade
alias update="sudo apt update && sudo apt dist-upgrade -y && sudo apt autoremove -y"

Philistino

import re


class UserInputMultiChoice:
    """
    gets multiple choice response from user via CLI
    Attributes:
        message: string to diplay to the user asking for input. Defaults to "User input required. Choose from the following:."
        sort_options: bool determining if the options should be sorted alphabetically. Defaults to False.
        options_always_included: list of options to alwasy display regardless of other options. Defaults to "Skip" and "Exit."

Philistino

import configparser
from dataclasses import dataclass


@dataclass
class Sections:
    raw_sections: dict

    def __post_init__(self):
        for section_key, section_value in self.raw_sections.items():