MariaSolOs

    ---Utility for keymap creation.
    ---@param lhs string
    ---@param rhs string|function
    ---@param opts string|table
    ---@param mode? string|string[]
    local function keymap(lhs, rhs, opts, mode)
        opts = type(opts) == 'string' and { desc = opts }
            or vim.tbl_extend('error', opts --[[@as table]], { buffer = bufnr })
        mode = mode or 'n'
        vim.keymap.set(mode, lhs, rhs, opts)

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

0xabad1dea

Risk Assessment of GitHub Copilot

0xabad1dea, July 2021

this is a rough draft and may be updated with more examples

GitHub was kind enough to grant me swift access to the Copilot test phase despite me @'ing them several hundred times about ICE. I would like to examine it not in terms of productivity, but security. How risky is it to allow an AI to write some or all of your code?

Ultimately, a human being must take responsibility for every line of code that is committed. AI should not be used for "responsibility washing." However, Copilot is a tool, and workers need their tools to be reliable. A carpenter doesn't have to

dunossauro

from flask import Flask, request
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.future import select
from sqlalchemy.orm import declarative_base, sessionmaker

engine = create_async_engine('sqlite+aiosqlite:///./db.db')
async_session = sessionmaker(
    engine, expire_on_commit=False, class_=AsyncSession
)

tallguyjenks

@import url("https://fonts.googleapis.com/css2?family=Fira+Code:wght@300;400;500;700&family=Fira+Sans:ital,wght@0,300;0,400;0,500;0,700;1,300;1,400;1,500;1,700&display=swap");

:root {
  --background: #282828;
  --light-background: #3c3836;
  --lighter-background: #504945;
  --dark-background: #3c3836;
  --darker-background: #1d2021;
  --foreground: #ebdbb2;
  --current-line: #504954;

lvegro

data,d_0_9,d_10_19,d_20_29,d_30_39,d_40_49,d_50_59,d_60_69,d_70_79,d_80_89,d_90,c_0_9,c_10_19,c_20_29,c_30_39,c_40_49,c_50_59,c_60_69,c_70_79,c_80_89,c_90
30 Settembre 2020,4,0,15,70,318,1255,3602,9378,14695,6590,5898,11471,29286,30086,41486,52207,34327,28419,29232,13328
01 Ottobre 2020,4,0,15,70,318,1257,3604,9384,14705,6602,6062,11723,29653,30463,41847,52610,34546,28556,29291,13343
02 ottobre 2020,4,0,15,70,318,1258,3606,9391,14711,6605,6212,11936,30002,30820,42209,52970,34754,28696,29380,13388
03 ottobre 2020,4,0,15,70,318,1261,3606,9394,14717,6606,6316,12106,30282,31075,42461,53241,34942,28799,29420,13410
04 ottobre 2020,4,0,15,70,318,1261,3606,9397,14724,6612,6460,12419,30649,31417,42832,53614,35144,28931,29513,13451
05 ottobre 2020,4,0,15,70,318,1262,3608,9401,14729,6618,6610,12724,30974,31703,43155,53952,35355,29061,29620,13471
06 ottobre 2020,4,0,15,70,319,1263,3613,9409,14736,6621,6920,13209,31719,32314,43842,54715,35816,29377,29857,13535
07 Ottobre 2020,4,0,15,70,319,1263,3616,9416,14744,6625,7067,1

wolfv

name: CI

on:
  push:
    branches:
    - main
  pull_request:
    branches:
    - main

aialenti

johnburnmurdoch

# Install and load required packages
install.packages("needs")
library(needs)
needs(tidyverse, magrittr, animation, pdftools, png, scales)

# Function that extracts data from Google Mobility PDFs
process_google_mobility <- function(country_code, start_date, end_date){
  
  # Convert first page of PDF into high-res PNG
  pdf_convert(paste0("https://www.gstatic.com/covid19/mobility/",end_date,"_",country_code,"_Mobility_Report_en.pdf"), format = "png", pages = 1, dpi = 300, filenames = "IMG1.png")

Jdoz

import pandas as pd
import unicodedata
import re
from typing import Hashable, List, Collection, Union

_underscorer1 = re.compile(r"(.)([A-Z][a-z]+)")
_underscorer2 = re.compile("([a-z0-9])([A-Z])")


def _camel2snake(col_name: str) -> str: