apetenchea

git clone [email protected]:rr-debugger/rr.git
cd rr
find . -type f -exec dos2unix {} +
mkdir -p build
cd build
CC=clang CXX=clang++ cmake -G Ninja -Ddisable32bit=ON -DCMAKE_EXE_LINKER_FLAGS="-fuse-ld=lld -L/home/apetenchea/scripts" -DCMAKE_BUILD_TYPE=Release ..

apetenchea

import json
import pandas as pd
import pydantic
import pydantic_core
from typing import Sequence, cast
from arangoasync.collection import StandardCollection
from arangoasync.database import StandardDatabase
from arangoasync.exceptions import DeserializationError, SerializationError
from arangoasync.serialization import Serializer, Deserializer
from arangoasync.typings import Json, Jsons

apetenchea

import requests

ARANGODB_ERRORS_FILE = "https://raw.githubusercontent.com/arangodb/arangodb/refs/heads/devel/lib/Basics/errors.dat"  # noqa: E501


def generate_section(line, output):
    text = line[3:].strip()
    print("#" * (len(text) + 4), file=output)
    print(f"# {text} #", file=output)
    print("#" * (len(text) + 4) + "\n", file=output)

apetenchea

# Check inputs
if (-not $setup) { $setup = "cluster" }
if (-not $license) { $license = "enterprise" }
if (-not $version) { $version = "3.12" }

# Determine image name
if ($license -eq "community") {
    $image_name = "arangodb"
} elseif ($license -eq "enterprise") {
    $image_name = "enterprise"

apetenchea

# This script gathers all the pages of a manual and merges them into a PDF.
# You'll need to play a bit with inspect-element in order to figure out the format the correct url,
# but it should be easy to adapt it to any manual.
# This script is specifically for https://www.manua.ls/audi/q3-2018/manual.
# Their url format is https://www.manua.ls/viewer/{manual-id}/{page-number}/bg{page-number-hex}.png
# Example: https://www.manua.ls/viewer/668006/100/bg64.png
# Enjoy!
import requests
from tqdm import tqdm
from PIL import Image

apetenchea

export ARANGODB_PATH="$HOME/arangodb"

# Continue process listening on port
function portcont() {
    kill -SIGCONT $(portpid "$1")
}

# Kill process listening on port
function portkill() {
    kill -9 $(portpid "$1")

apetenchea

# importing libraries
import pathlib
import sys
import speech_recognition as sr
import os
from pydub import AudioSegment
from pydub.silence import split_on_silence

# create a speech recognition object
r = sr.Recognizer()

apetenchea

import arango
import time

url = f"http://localhost:8530"
client = arango.ArangoClient(hosts=url)
db = client.db(name="_system")
print(db.version())

if not db.has_collection('x'):
    db.create_collection('x')

apetenchea

This is in response to issue #18900.
It shows how to set up an arangodb cluster with 3 agents, 2 coordinators and 3 db severs, using docker-compose. This is not the way I would set up a cluster in production, but it is ok for testing the cluster functionality. I recommend checking out the official documentation, especially Using the ArangoDB Starter.

docker-compose.yml

version: '3.7'

apetenchea

# Script for parsing mealplans and generating a shopping list
# python mealplan.py mealplan.txt > list.txt


import sys
import re


def get_lines(file):
    names = ['Alex', 'Lucia']