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For CUDA 12, see Installing CUDA 12.1.1 + PyTorch nightly + Python 3.10 on Ubuntu 22.10 for how to install Nvidia driver 530, gcc 12 and CUDA 12.1.1 libraries.
If you want CUDA 11.8, then you can use latest Nvidia driver from Production branch, 525, with gcc 11.

Activate your conda environment, if you haven't done so already.

CUDA 11:
Make sure gcc 11 is the default gcc for your OS, or select gcc 11 explicitly.
CUDA 12:
Make sure gcc 12 is the default gcc for your OS, or select gcc 12 explicitly.
Check CUDA_DIR below points to the CUDA installation you wish to use.

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const os = require("os");
const path = require("path");
const fs = require("fs/promises");

const OAUTH_FILE = path.join(os.homedir(), ".gemini", "oauth_creds.json");

class GeminiCLITransformer {
    name = "gemini-cli";

    constructor(options) {

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import requests
import json
import os
import time
import yaml
import argparse
import re
from datetime import datetime

OPENROUTER_API_BASE = "https://openrouter.ai/api/v1"

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SAMBANOVA_API_KEY=
GEMINI_API_KEY=
HUGGINGFACE_API_KEY=
HYPERBOLIC_API_KEY=
OPENAI_API_KEY=
GROQ_API_KEY=
XAI_API_KEY=
OPENROUTER_API_KEY=
COHERE_API_KEY=
TOGETHERAI_API_KEY=

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#!/usr/bin/env bash

CLIENT_DB="$HOME/Library/Application Support/CloudDocs/session/db/client.db"
[[ -e $CLIENT_DB ]] || { echo "db not found"; exit 1; }

mapfile -t ITEM_IDS < <(sqlite3 "$CLIENT_DB" <<-EOS
	SELECT throttle_id
	FROM client_sync_up
	EOS
)

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#!/usr/bin/env bash

echo "Begin environment relocation."
NEW_ENV_DIR=$1
BASE_ENV=$(conda info --base)

#########################################
#
# Install jq locally
#

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#=====================================================================
To Apply the Cron Job in Docker:

1️⃣ Edit the cron file:

echo "10 * * * * root ansible-playbook -i /ansible/inventory-switches.ini /ansible/switch-version.yml >> /var/log/ansible-cron.log 2>&1" > /etc/cron.d/ansible-cron

2️⃣ Set permissions and reload cron:

chmod 0644 /etc/cron.d/ansible-cron

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Enable systemd-networkd debugging

mkdir -p /etc/systemd/system/systemd-networkd.service.d/
Create Drop-In /etc/systemd/system/systemd-networkd.service.d/10-debug.conf with following content:

[Service]
Environment=SYSTEMD_LOG_LEVEL=debug
And restart systemd-networkd service:

systemctl daemon-reload

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#!/bin/bash

function cleanLine() {
  local line key field
  line="$1"
  key="$2"
  field="$3"
  echo "$line" | jq -r "$key" | tr -d 'BbIi' | awk "{print toupper(\$$field)}" | numfmt --from=auto
}

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services:
  tailscale:
    image: tailscale/tailscale:latest
    environment:
      - TS_HOSTNAME=mitmproxy
      - TS_STATE_DIR=/var/lib/tailscale
      - TS_USERSPACE=false
    volumes:
      - ./tailscale:/var/lib/tailscale
      - /dev/net/tun:/dev/net/tun