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ASAHIネットのDS-Liteの終端(AFTR)を取得する

ASAHIネットがDS-Lite対応したので、 自宅の適当なLinuxルーターにて設定しようとして詰まったAFTR取得に関するメモ。

Linuxルーターを使ってる人向けのニッチなものだけど、情報として残しておく。

終端の情報公開について

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To install, make sure you install the openai CLI:

1. pip3 install openai
2. Run which openai to get the full path of where the executable is
3. Copy the path and replace /opt/homebrew/bin/openai in the script with your path if it's different
4. Update set OPENAI_API_KEY to "xxx" to use your OpenAI key

To use GPT3.5-turbo instead of gpt-4, change /opt/homebrew/bin/openai api chat_completions.create -m gpt-4 to -m gpt-3.5-turbo or other model with larger context window.

nishad

#!/bin/bash

# Function to display usage information
usage() {
    echo "Usage: $0 /path/to/input.mp4 [ /path/to/output_directory ]"
    exit 1
}

# Check if at least one argument (input file) is provided
if [ $# -lt 1 ]; then

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sudo apt install curl gnupg2 ca-certificates lsb-release
echo "deb http://nginx.org/packages/ubuntu `lsb_release -cs` nginx" | sudo tee /etc/apt/sources.list.d/nginx.list
curl -fsSL https://nginx.org/keys/nginx_signing.key | sudo apt-key add -

sudo apt update
NGINX_VERSION=$(apt show nginx | grep "^Version" | cut -d " " -f 2 | cut -d "-" -f 1)
# take note of the nginx version in the "stable" release. e.g. 1.14.2
echo NGINX version $NGINX_VERSION
wget https://hg.nginx.org/pkg-oss/raw-file/default/build_module.sh
chmod a+x build_module.sh

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Use wget to mirror a single page and its visible dependencies (images, styles)

Graphic via State of Florida CFO Vendor Payment Search (flair.myfloridacfo.com)

This is a quick command I use to snapshot webpages that have a fun image I want to keep for my own collection of WTFViz. Why not just right-click and save the image? Oftentimes, the webpage in which the image is embedded contains necessary context, such as captions and links to important documentation just incase you forget what exactly that fun graphic was trying to explain.

nishad

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#!/usr/bin/env python
# encoding: utf-8
"""
csv2xml.py

Created by Justin van Wees on 2011-04-18.
"""
import sys
import os
import string

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<nav id="access">
    <ul class="menu">
        <li><a href="#">Home</a></li>
        <li><a href="#">Page 1</a>
            <ul class="sub-menu">
                <li><a href="#">Page 1.1</a></li>
                <li><a href="#">Page 1.2</a></li>
                <li><a href="#">Page 1.3</a></li>
                <li><a href="#">Page 1.4</a></li>
                <li><a href="#">Page 1.5</a></li>

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import requests
from bs4 import BeautifulSoup

# We've now imported the two packages that will do the heavy lifting
# for us, reqeusts and BeautifulSoup

# Let's put the URL of the page we want to scrape in a variable
# so that our code down below can be a little cleaner
url_to_scrape = 'http://apps2.polkcountyiowa.gov/inmatesontheweb/'

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# Given a list of words, remove any that are
# in a list of stop words.

def removeStopwords(wordlist, stopwords):
    return [w for w in wordlist if w not in stopwords]