| from transformers import ( | |
| AutoConfig, | |
| AutoTokenizer, | |
| BitsAndBytesConfig, | |
| GenerationConfig, | |
| AutoModelForCausalLM, | |
| LlamaTokenizerFast, | |
| PreTrainedModel, | |
| TextIteratorStreamer, | |
| StoppingCriteria, |
| import groovy.json.JsonSlurper | |
| import groovy.json.JsonParserType | |
| import org.sonatype.nexus.repository.storage.Asset | |
| import org.sonatype.nexus.repository.storage.Query | |
| import org.sonatype.nexus.repository.storage.StorageFacet | |
| import java.util.concurrent.ExecutorService | |
| import java.util.concurrent.Executors | |
| CONDA_CLOUD_BASE_URL = "https://conda.anaconda.org" | |
| NEXUS_REPOSITORY = "http://127.0.0.1:8081/repository/conda" |
| ############ REPLACE app/models/enterprise_token.rb in the source code with this file! ################ | |
| ############ also be sure to RESTART OpenProject after replacing the file. ################ | |
| ############ it doesn't show that enterprise mode is enabled in the settings, but all ################ | |
| ############ enterprise mode features, such as KanBan boards, are enabled. ################ | |
| #-- copyright | |
| # OpenProject is an open source project management software. | |
| # Copyright (C) 2012-2023 the OpenProject GmbH | |
| # | |
| # This program is free software; you can redistribute it and/or | |
| # modify it under the terms of the GNU General Public License version 3. |
Today I tried to setup a small Kubernetes cluster on top of 3 Raspberry Pi 4 (4GB Memory). Here is the steps to install the cluster.
I have 3 Raspberry Pi 4 stacked with PoE headers and connected to a PoE switch at home. The are connected to Internet through a home router. All Pis are equipped with a 64GB Samsung SDXC card flushed with Ubuntu 20.04 image.
| ################################################### | |
| ## | |
| ## Alertmanager YAML configuration for routing. | |
| ## | |
| ## Will route alerts with a code_owner label to the slack-code-owners receiver | |
| ## configured above, but will continue processing them to send to both a | |
| ## central Slack channel (slack-monitoring) and PagerDuty receivers | |
| ## (pd-warning and pd-critical) | |
| ## |
| <?php | |
| namespace App\Models; | |
| use Illuminate\Database\Eloquent\Model; | |
| class City extends Model | |
| { | |
| /** | |
| * @var array |
| const axios = require("axios"); | |
| const urls = ['https://github.com/mzabriskie/axios', 'https://discord.js.org']; | |
| async function asyncLoadAllTheChunks() { | |
| const resps = await Promise.all(urls.map(url=> axios.get(url))) | |
| const [first, second] = resps; | |
| console.log(` | |
| тут первый ${first} | |
| тут второй ${second} |
| // ... | |
| "scripts": { | |
| "build": "neo build --config webpack.prod.js", | |
| "start": "neo start --port 3001 --config webpack.dev.js", | |
| // ... | |
| } | |
| // ... |
This was tested on a ThinkPad P70 laptop with an Intel integrated graphics and an NVIDIA GPU:
lspci | egrep 'VGA|3D'
00:02.0 VGA compatible controller: Intel Corporation Device 191b (rev 06)
01:00.0 VGA compatible controller: NVIDIA Corporation GM204GLM [Quadro M3000M] (rev a1)
A reason to use the integrated graphics for display is if installing the NVIDIA drivers causes the display to stop working properly.
In my case, Ubuntu would get stuck in a login loop after installing the NVIDIA drivers.
This happened regardless if I installed the drivers from the "Additional Drivers" tab in "System Settings" or the ppa:graphics-drivers/ppa in the command-line.
| <?php | |
| function require_auth() { | |
| $AUTH_USER = 'admin'; | |
| $AUTH_PASS = 'admin'; | |
| header('Cache-Control: no-cache, must-revalidate, max-age=0'); | |
| $has_supplied_credentials = !(empty($_SERVER['PHP_AUTH_USER']) && empty($_SERVER['PHP_AUTH_PW'])); | |
| $is_not_authenticated = ( | |
| !$has_supplied_credentials || | |
| $_SERVER['PHP_AUTH_USER'] != $AUTH_USER || | |
| $_SERVER['PHP_AUTH_PW'] != $AUTH_PASS |