k4ml

class Messaging(object):
    def __init__(self, user, sender, receiver, message):
        self.user = user
        self.sender = sender
        self.receiver = receiver
        self.message = message
    
    def send(self):
        required_points = self.get_required_points()
        if required_points > self.user.points:

k4ml

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

k4ml

# API Reference¶

The WebFaction [XML-RPC](http://en.wikipedia.org/wiki/XML-RPC) API provides
methods to make many account tasks scriptable. This documentation is a
complete reference to all of the possible API methods.

Please note that XML-RPC parameters are positional (order matters), and many
parameters are required. Parameters may only be omitted if omitted parameters
have default values and follow all other parameters to which you have supplied
a value.

k4ml

import os
import sys
import shutil

pkgname = sys.argv[1]
venv = sys.argv[2]
pyversion = '%s.%s' % (sys.version_info[0], sys.version_info[1])

try:
    pkgobj = __import__(pkgname)

k4ml

from django.contrib import admin
from mysite.models import Survey, Question, Choice

class QuestionInline(admin.TabularInline):
  model = Question
  show_change_link = True

class ChoiceInline(admin.TabularInline):
  model = Choice

k4ml

"""
Bottle (and also Flask) seem to favor global request object that when called within
a request function handler, will return request data that specific to the current request.
This is convenience since it free you from having to pass request object from function to
function as you would have in Django. Maybe I'm too used with Django approach but having request
object explicitly passed to your function allow me to correctly think how to structure my app.
It's not just one time when designing a solution, I come to dead end because I try to access request
data not from request context. It easy to fall into that because the request object available in the
global namespace.

k4ml

"""
Copyright 2017 k4ml@twitter.com.

Permission to use, copy, modify, and/or distribute this software
for any purpose with or without fee is hereby granted, provided
that the above copyright notice and this permission notice appear in all copies.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE

k4ml

// https://tutorialedge.net/golang/reading-console-input-golang/
package main

import (
	"bufio"
	"fmt"
	"os"
	"strings"
)

k4ml

Setting up Webfaction for modern Python deployment

last updated: 4/5/2011

note that this stuff is always a moving target, much of this has been cribbed and combined from various blog posts. Much of the information was out of date from those, and if it is more than a couple months after the last updated date above, consider some of this likely to now be out of date.

k4ml

local tg_token = 'your token'

if request.query['admin_command'] == 'setURL' and request.query['pass'] == 'xxx' then
	local response = http.request {
		url = 'https://api.telegram.org/bot' .. tg_token .. '/setWebhook',
		params = {
			url='https://demo-xxxx.webscript.io/script'
		},
		method='post',
	}