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)

Steve-Tech

import requests
import re

session = requests.Session()

# This isn't your Telstra ID but rather the Fon credentials found in the Telstra Air app, you can also find this in the network tab of inspect element when logging in normally.
anid = "[email protected]"
anidpassword = ""

try: login = re.findall(r'<LoginURL>(.*)</LoginURL>', session.get("http://msftconnecttest.com/redirect").text)[0] # Get the Telstra Air login URL

bluca

import zmq
import unittest
from unittest.mock import patch
from unittest.mock import MagicMock


class MockZmqSocket(MagicMock):

    def __init__(self, **kwds):
        super().__init__(**kwds)

trestletech

library(shiny)

shinyServer(function(input, output, session) {
  # The number of iterations to perform
  maxIter <- 50
  
  # Track the start and elapsed time
  startTime <- Sys.time()  
  output$elapsed <- renderText({

wsargent

303 See Other

Location: https://github.com/wsargent/docker-cheat-sheet

Hi there!

The docker cheat sheet has moved to a Github project under https://github.com/wsargent/docker-cheat-sheet.

Please click on the link above to go to the cheat sheet.

ju-popov

######################################################################
#  CURRENT AWARE LOCAL DATETIME
######################################################################

from datetime import datetime
from tzlocal import get_localzone

local_tz = get_localzone()
local_dt = datetime.now(local_tz)

joshbode

# poor-man's rollup
# rollups like in SQL: GROUP BY ROLLUP(...)

# example:
#   d = data.frame(x=trunc(runif(25, 1, 10)), y=trunc(runif(25, 1, 5)), z=rnorm(25))
#   result = pmr(d, .(x, y, j=x / 2), summarise, p=sum(z), .labels=list(x='-900', y='Total'))

require(plyr)

pmr = function(.data, .variables, ...,