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| #!/usr/bin/env bash | |
| # --- CORES --- | |
| RED='\033[0;31m' | |
| GREEN='\033[0;32m' | |
| BLUE='\033[0;34m' | |
| PURPLE='\033[0;35m' | |
| CYAN='\033[0;36m' | |
| YELLOW='\033[1;33m' | |
| NC='\033[0m' # No Color |
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| #!/bin/bash | |
| Init() | |
| { | |
| loadkeys br-abnt2 | |
| } | |
| Network_Config() | |
| { |
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| #!/bin/bash | |
| loadkeys br-abnt2 | |
| INTERFACE="wlan0" | |
| REDE="CurvaDeRio" | |
| SENHA="" | |
| cp nftables.conf /etc | |
| systemctl enable nftables --now | |
| nft -f /etc/nftables.conf |
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| #!/bin/bash | |
| Applications(){ | |
| apt -y install lolcat figlet python3-pip git gh cmatrix tmux zsh tealdeer zoxide delta cava cargo wget curl | |
| } | |
| TMUX(){ | |
| cd | |
| git clone https://github.com/gpakosz/.tmux.git | |
| ln -s -f .tmux/.tmux.conf |
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| #!/bin/bash | |
| # Verifica se um diretório foi fornecido como argumento | |
| if [ $# -eq 0 ]; then | |
| echo "Uso: $0 <diretorio>" | |
| exit 1 | |
| fi | |
| # Diretório de entrada | |
| diretorio="$1" | |
| # Loop para percorrer todos os arquivos e subdiretórios | |
| find "$diretorio" -type f -name "*.ANS" -print0 | while IFS= read -r -d $'\0' arquivo; do |
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| #!/bin/bash | |
| ANSI_MOTD_ART_DIR="${XDG_CONFIG_HOME:-$HOME/.config}/ansimotd" | |
| if [ ! -d "$ANSI_MOTD_ART_DIR" ]; then | |
| mkdir -p "$ANSI_MOTD_ART_DIR" | |
| fi |
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| import os | |
| import random | |
| import string | |
| from tqdm import tqdm import subprocess | |
| import sys | |
| def generate_random_name(length=4): | |
| return ''.join(random.choices(string.ascii_lowercase, k=length)) | |
| def get_all_files_and_dirs(directory): |
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| #include "CoreMinimal.h" | |
| #include "GameFramework/Actor.h" | |
| #include "Blueprint/BlueprintStruct.h" | |
| #include "Blueprint/Blueprint.h" | |
| int main() | |
| { | |
| // Criar um novo Blueprint | |
| TSharedPtr<Blueprint> MyBlueprint = MakeShareable(new Blueprint()); |
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| import os | |
| from git import Repo | |
| from langchain_community.document_loaders.generic import GenericLoader | |
| from langchain_community.document_loaders.parsers import LanguageParser | |
| from langchain_text_splitters import Language | |
| from qdrant_client import models, QdrantClient | |
| import numpy as np | |
| import torch | |
| from sentence_transformers import SentenceTransformer |
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| https://github.com/cretz/tor-static | |
| users who realize that INSTALL files still exist should simply | |
| follow the directions at | |
| https://www.torproject.org/docs/tor-doc-unix | |
| If you got the source from git, run "./autogen.sh", which will |
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