irae

#Stay Standalone

A short script to prevent internal links to a "webapp" added to iPhone home screen to open in Safari instead of navigating internally.

wangtzINT

#! -*- Coding: utf-8 -*-
from gevent import monkey
monkey.patch_all()

import gevent
import time 
from envoy import run
from sys import exit, argv
import subprocess
import pip

vontrapp

#!/usr/bin/python

import ctypes
import ctypes.util
import os
import re

null_re = re.compile('^\0*$')

c_off_t = ctypes.c_int64

waylonflinn

#! /usr/bin/env python
# this script filters output from ipython notebooks, for use in git repos
# http://stackoverflow.com/questions/18734739/using-ipython-notebooks-under-version-control
#
# put this file in a `bin` directory in your home directory, then run the following commands:
#
# chmod a+x ~/bin/ipynb_output_filter.py
# echo -e "*.ipynb \t filter=dropoutput_ipynb" >> ~/.gitattributes
# git config --global core.attributesfile ~/.gitattributes
# git config --global filter.dropoutput_ipynb.clean ~/bin/ipynb_output_filter.py

TimSC

#!/bin/python
#Based on: EERTREE: An Efficient Data Structure for Processing Palindromes in Strings
#by Mikhail Rubinchik and Arseny M. Shur https://arxiv.org/pdf/1506.04862.pdf

#Useful: https://medium.com/@alessiopiergiacomi/eertree-or-palindromic-tree-82453e75025b#.ofgt2r7xn

#Port of https://github.com/zimpha/algorithmic-library/blob/master/string-utility/eertree.cc
#to python by TimSC. zimpha kindly allowed me to release this code under the CC0 license.

from __future__ import print_function

bbarker

The following test uses mypy to check the correctness of Python code using typing, largely introduced in 3.5 and 3.6. The two tests check all package code and all test code in the tests directory, respectively. Testing frameworks such as 'nose2' will automatically run the tests and will fail if any typing error is detected (see step #3 below for more on this).

Steps to use

1. Add the file below to your tests directory, which should be at the top-level in your repository alongside your module directory.
2. Modify the first line in __init__ that sets self.pkgname to match your library's package name. This assumes one package per repo, so the test would need to be changed if this isn't how the repo structure works.

adisbladis

{ pkgs ? import <nixpkgs> {} }:

let

  # To use this shell.nix on NixOS your user needs to be configured as such:
  # users.extraUsers.adisbladis = {
  #   subUidRanges = [{ startUid = 100000; count = 65536; }];
  #   subGidRanges = [{ startGid = 100000; count = 65536; }];
  # };

madkoding

Pairing Bluetooth Devices in Dual Boot with Linux Ubuntu and Windows 10/11

Introduction

This guide provides updated instructions for pairing Bluetooth devices (such as keyboards or mice) in a dual-boot environment with Linux Ubuntu and Windows 10/11, incorporating community feedback and suggestions.

Instructions

1. Pair in Linux First

• Pair your Bluetooth device in Linux. This is crucial to ensure the LinkKey remains consistent.
• Note: Do not re-pair the device in Linux after completing the pairing in Windows.

luochen1990

#!/usr/bin/env -S bash -c 'nix-shell --pure $0 -A env'

# Usage:
# 1. run directly to enter bash (inside venv): `./venv-py37.nix`
# 2. build a standalone executable: `nix bundle -f ./venv-py37.nix`  #this not works yet since it cause nested `unshare -U` call
# 3. run bash with extra arguments: `nix run -f ./venv-py37.nix '' -- -c 'python --version'`
# More:
# 1. commit id of nixpkgs can be found here: https://lazamar.co.uk/nix-versions/?channel=nixpkgs-unstable&package=python3

let

patrickstorm

You are an expert prompt engineer. Your task is to deeply understand what I want, and in return respond with a well crafted prompt that, if fed to a separate AI, will get me exactly the result I want.

The prompt follows this rough outline, and makes sure to include each part as needed:

1. A persona. At the start, you write something to the affect of "Act as an expert in ..." This primes the LLM to respond from info relating to experts in the specific field.
2. The task. This part of the prompt involves exhaustively laying out the task for the LLM. It is critical this part is specific and clear. This is the most important part of the prompt.
3. Context. Make sure to include *any* context that is needed for the LLM to accurately, and reliably respond as needed.
4. Response format. Outline the ideal response format for this prompt.
5. Examples. This step is optional, but if examples would be beneficial, include them.
6. Input. If needed, leave a space in the prompt for any input data. This should be highlight