mvandermeulen

DATABASE_URL=postgres://saleor:password@db/saleor
DEFAULT_FROM_EMAIL=noreply@domain.com
CELERY_BROKER_URL=redis://redis:6379/1
JAEGER_AGENT_HOST=jaeger
SECRET_KEY=secret_key
API_URI=https://saleor-api.domain.com/graphql/
ALLOWED_HOSTS=saleor-api.domain.com,saleor-mail.domain.com,saleor-store.domain.com,saleor-admin.domain.com,saleor-jaeger.domain.com
ALLOWED_CLIENT_HOSTS=saleor-api.domain.com,saleor-mail.domain.com,saleor-store.domain.com,saleor-admin.domain.com,saleor-jaeger.domain.com

mvandermeulen

Red Hat Security: Securing Containers & OpenShift (DO425)

Last update: Tue Jan 14 23:15:49 UTC 2020 by @luckylittle

---

Objectives

1. Understand, identify, and work with containerization features
2. Deploy a preconfigured application and identify crucial features such as namespaces, SELinux labels, and cgroups

maple3142

from types import FunctionType, CodeType
import dis


def assemble(ops):
    cache = bytes([dis.opmap["CACHE"], 0])
    ret = b""
    for op, arg in ops:
        opc = dis.opmap[op]
        ret += bytes([opc, arg])

Birch-san

from transformers import (
  AutoConfig,
  AutoTokenizer,
  BitsAndBytesConfig,
  GenerationConfig,
  AutoModelForCausalLM,
  LlamaTokenizerFast,
  PreTrainedModel,
  TextIteratorStreamer,
  StoppingCriteria,

veekaybee

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

scyto

ProxMox Cluster - Soup-to-Nutz

aka what i did to get from nothing to done.

note: these are designed to be primarily a re-install guide for myself (writing things down helps me memorize the knowledge), as such don't take any of this on blind faith - some areas are well tested and the docs are very robust, some items, less so). YMMV

Purpose of Proxmox cluster project

Required Outomces of cluster project

jvelezmagic

"""QA Chatbot streaming using FastAPI, LangChain Expression Language , OpenAI, and Chroma.

Features
--------
- Persistent Chat Memory:
    Stores chat history in a local file.
- Persistent Vector Store:
    Stores document embeddings in a local vector store.
- Standalone Question Generation:
    Rephrases follow-up questions to standalone questions in their original language.

mhmdiaa

javascript: (function() {
    var scripts = document.getElementsByTagName("script"),
        regex = /(?<=(\"|\%27|\`))\/[a-zA-Z0-9_?&=\/\-\#\.]*(?=(\"|\'|\%60))/g;
    const results = new Set;
    for (var i = 0; i < scripts.length; i++) {
        var t = scripts[i].src;
        "" != t && fetch(t).then(function(t) {
            return t.text()
        }).then(function(t) {
            var e = t.matchAll(regex);

liyasthomas

[
  {
    "name": "Sample Hoppscotch Environment - 1",
    "variables": [
      {
        "value": "https://echo.hoppscotch.io",
        "key": "baseURL"
      },
      {
        "value": "var1",

staberas

# This script requires to have some basic Python skills 
# - Install python dependencies (thanks to TitwitMuffbiscuit on reddit) : 
#  pip install nltk beautifulsoup4 googlesearch-python trafilatura wolframalpha
#
#  If you get this error "Resource punkt not found", it's because Punkt sentence tokenizer for Natural Language Toolkit is missing. 
#  Edit the file and add this before 
#  from nltk.tokenize import word_tokenize ,
#  it will download the necessary english.pickle:
#  import nltk
#  nltk.download('punkt')