Sohang Chopra sohang3112

Zeromq example in Haskell

Zeromq client & server example in Haskell using zeromq4-haskell package (a Haskell wrapper over libzmq).

NOTE: In 2023 my PR was merged that added this Haskell example to zeromq.org website. But it doesn't show yet on zeromq.org website because the site owner hasn't yet updated the site according to the latest changes in its Github repo. You can also see the below example client & server in the Zeromq Github repository.

Server

Sync OneDrive in Linux

Using the official OneDrive Linux client:

$ sudo dnf install -y onedrive               # or "apt install", etc. - depends on distro
$ onedrive                                   # gives a link, open it in browser to login to OneDrive
$ onedrive --synchronize                     # sync files to ~/OneDrive ; downloading files first time takes some time
$ systemctl enable onedrive@<username>.service --now        # sync automatically in background

Check more on its usage in the docs.

Ollama Notes

Ollama is an open-source tool that allows self-hosting Large Language Models (LLMs). Normally these LLMs are not feasible to deploy on consumer hardware, however Ollama optimizes the models by removing unused layers, rounding decimal points in weights to reduce model size, etc.

Note: Some details about the Ollama service are Linux-specific, but most things are same on all platforms.

Downloading Ollama in Linux

In Linux, Ollama can be installed using the command curl -fsSL https://ollama.com/install.sh | sh.

	from __future__ import annotations
	from typing import Iterable


	class IntSet:
	"""
	Efficiently store integers in a set - internally uses bit shift operations.
	NOTE: len() isn't supported - instead cast to list first: len(list(intset))

	>>> IntSet(0b10011) # Set of all the bits which are set to 1 (using 1-based bit indexing)

	-- Simple function to handle HTML attributes that may or may not have a value specified.

	import qualified Data.Map as Map
	import Data.Map (Map)

	-- HTML Property Key \| Value
	type Prop k v = Either k v

	key = Left
	val = Right

	from collections import Counter
	from io import BytesIO
	import os

	# Optional: If you already downloaded NLTK resources at a non-standard location
	# Espcially useful in case of AWS Lambda - you can put already downloaded nltk resources in layer and use in AWS Lambda
	# Here path = /opt because that's where AWS Lambda puts all Layer contents
	# ALREADY_DOWNLOADED_NLTK_PATH = '/opt'
	ALREADY_DOWNLOADED_NLTK_PATH = None # nltk resources not already downloaded, to download

	import os
	import openai

	# Call GPT
	os.environ['OPENAI_API_KEY'] = 'PUT-OPENAI-API-KEY-HERE'
	client = openai.OpenAI()
	prompt = "Say Hi!" # put instructions to GPT here
	gpt_response = client.chat.completions.create(
	model="gpt-3.5-turbo",
	messages=[{"role": "user", "content": prompt}],

	# Create a silent MP3 audio
	# Requires ffmpeg library, install with: sudo apt install -y ffmpeg
	from pydub import AudioSegment
	silence = AudioSegment.silent(duration=5000) # duration in milliseconds
	silence.export("silence.mp3", format="mp3")

	# Extract audio from video
	import moviepy.editor
	video = moviepy.editor.VideoFileClip("/path/to/video.mp4")
	if video.audio is None: